From 2a62349a3f0dc46decef32014d0ea52121d3e75c Mon Sep 17 00:00:00 2001
From: Andre Damasceno <andrelbd1@gmail.com>
Date: Thu, 26 Jan 2023 16:55:05 -0300
Subject: [PATCH] Updates

---
 01. Series, DataFrame and Reindex.html        | 4596 +++++++++-------
 01. Series, DataFrame and Reindex.ipynb       | 4692 ++++++++++-------
 ...xing, Merge, Concatenate, and Combine.html |  763 ++-
 ...ing, Merge, Concatenate, and Combine.ipynb |  773 ++-
 04. Aggregation.html                          |  894 +++-
 04. Aggregation.ipynb                         |  984 ++--
 05. Matplotlib.html                           |   74 +-
 05. Matplotlib.ipynb                          |   79 +-
 06. Statistical Analysis.html                 |  335 +-
 06. Statistical Analysis.ipynb                |  308 +-
 10 files changed, 8788 insertions(+), 4710 deletions(-)

diff --git a/01. Series, DataFrame and Reindex.html b/01. Series, DataFrame and Reindex.html
index 0ed6a4d..dc633ef 100644
--- a/01. Series, DataFrame and Reindex.html	
+++ b/01. Series, DataFrame and Reindex.html	
@@ -19229,7 +19229,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[56]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">walmart</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;Date == &#39;12-02-2010&#39; and Temperature &lt; 40 and Unemployment &lt; 8&quot;</span><span class="p">)</span>
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">walmart</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;Date == &#39;2010-12-02&#39; and Temperature &lt; 40 and Unemployment &lt; 8&quot;</span><span class="p">)</span>
 </pre></div>
 
      </div>
@@ -19378,6 +19378,757 @@ <h2><font color=green> DataFrame</h2>
 
 </div>
 
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[57]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">walmart</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;Date.dt.month == 2 and Date.dt.year == 2010&quot;</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[57]:</div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>Store</th>
+      <th>Date</th>
+      <th>Weekly_Sales</th>
+      <th>Holiday_Flag</th>
+      <th>Temperature</th>
+      <th>Fuel_Price</th>
+      <th>CPI</th>
+      <th>Unemployment</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>2</th>
+      <td>1</td>
+      <td>2010-02-19</td>
+      <td>1611968.17</td>
+      <td>False</td>
+      <td>39.93</td>
+      <td>2.514</td>
+      <td>211.289143</td>
+      <td>8.106</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>1</td>
+      <td>2010-02-26</td>
+      <td>1409727.59</td>
+      <td>False</td>
+      <td>46.63</td>
+      <td>2.561</td>
+      <td>211.319643</td>
+      <td>8.106</td>
+    </tr>
+    <tr>
+      <th>8</th>
+      <td>1</td>
+      <td>2010-02-04</td>
+      <td>1594968.28</td>
+      <td>False</td>
+      <td>62.27</td>
+      <td>2.719</td>
+      <td>210.820450</td>
+      <td>7.808</td>
+    </tr>
+    <tr>
+      <th>21</th>
+      <td>1</td>
+      <td>2010-02-07</td>
+      <td>1492418.14</td>
+      <td>False</td>
+      <td>80.91</td>
+      <td>2.669</td>
+      <td>211.223533</td>
+      <td>7.787</td>
+    </tr>
+    <tr>
+      <th>145</th>
+      <td>2</td>
+      <td>2010-02-19</td>
+      <td>2124451.54</td>
+      <td>False</td>
+      <td>39.69</td>
+      <td>2.514</td>
+      <td>210.945160</td>
+      <td>8.324</td>
+    </tr>
+    <tr>
+      <th>...</th>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+    </tr>
+    <tr>
+      <th>6170</th>
+      <td>44</td>
+      <td>2010-02-07</td>
+      <td>300628.19</td>
+      <td>False</td>
+      <td>78.82</td>
+      <td>2.814</td>
+      <td>126.139200</td>
+      <td>7.804</td>
+    </tr>
+    <tr>
+      <th>6294</th>
+      <td>45</td>
+      <td>2010-02-19</td>
+      <td>841264.04</td>
+      <td>False</td>
+      <td>31.27</td>
+      <td>2.745</td>
+      <td>182.034782</td>
+      <td>8.992</td>
+    </tr>
+    <tr>
+      <th>6295</th>
+      <td>45</td>
+      <td>2010-02-26</td>
+      <td>741891.65</td>
+      <td>False</td>
+      <td>34.89</td>
+      <td>2.754</td>
+      <td>182.077469</td>
+      <td>8.992</td>
+    </tr>
+    <tr>
+      <th>6300</th>
+      <td>45</td>
+      <td>2010-02-04</td>
+      <td>877235.96</td>
+      <td>False</td>
+      <td>47.74</td>
+      <td>2.850</td>
+      <td>181.865754</td>
+      <td>8.899</td>
+    </tr>
+    <tr>
+      <th>6313</th>
+      <td>45</td>
+      <td>2010-02-07</td>
+      <td>800147.84</td>
+      <td>False</td>
+      <td>76.61</td>
+      <td>2.815</td>
+      <td>182.318780</td>
+      <td>8.743</td>
+    </tr>
+  </tbody>
+</table>
+<p>180 rows × 8 columns</p>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[58]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">walmart</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;Date &gt;= &#39;2010-02-12&#39; and Date &lt;= &#39;2010-02-20&#39;&quot;</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[58]:</div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>Store</th>
+      <th>Date</th>
+      <th>Weekly_Sales</th>
+      <th>Holiday_Flag</th>
+      <th>Temperature</th>
+      <th>Fuel_Price</th>
+      <th>CPI</th>
+      <th>Unemployment</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>2</th>
+      <td>1</td>
+      <td>2010-02-19</td>
+      <td>1611968.17</td>
+      <td>False</td>
+      <td>39.93</td>
+      <td>2.514</td>
+      <td>211.289143</td>
+      <td>8.106</td>
+    </tr>
+    <tr>
+      <th>145</th>
+      <td>2</td>
+      <td>2010-02-19</td>
+      <td>2124451.54</td>
+      <td>False</td>
+      <td>39.69</td>
+      <td>2.514</td>
+      <td>210.945160</td>
+      <td>8.324</td>
+    </tr>
+    <tr>
+      <th>288</th>
+      <td>3</td>
+      <td>2010-02-19</td>
+      <td>421642.19</td>
+      <td>False</td>
+      <td>47.07</td>
+      <td>2.514</td>
+      <td>214.619887</td>
+      <td>7.368</td>
+    </tr>
+    <tr>
+      <th>431</th>
+      <td>4</td>
+      <td>2010-02-19</td>
+      <td>2049860.26</td>
+      <td>False</td>
+      <td>36.45</td>
+      <td>2.540</td>
+      <td>126.526286</td>
+      <td>8.623</td>
+    </tr>
+    <tr>
+      <th>574</th>
+      <td>5</td>
+      <td>2010-02-19</td>
+      <td>303447.57</td>
+      <td>False</td>
+      <td>41.14</td>
+      <td>2.514</td>
+      <td>211.847128</td>
+      <td>6.566</td>
+    </tr>
+    <tr>
+      <th>717</th>
+      <td>6</td>
+      <td>2010-02-19</td>
+      <td>1567138.07</td>
+      <td>False</td>
+      <td>43.58</td>
+      <td>2.514</td>
+      <td>212.816155</td>
+      <td>7.259</td>
+    </tr>
+    <tr>
+      <th>860</th>
+      <td>7</td>
+      <td>2010-02-19</td>
+      <td>506760.54</td>
+      <td>False</td>
+      <td>27.28</td>
+      <td>2.550</td>
+      <td>189.534100</td>
+      <td>9.014</td>
+    </tr>
+    <tr>
+      <th>1003</th>
+      <td>8</td>
+      <td>2010-02-19</td>
+      <td>963960.37</td>
+      <td>False</td>
+      <td>39.10</td>
+      <td>2.514</td>
+      <td>214.666488</td>
+      <td>6.299</td>
+    </tr>
+    <tr>
+      <th>1146</th>
+      <td>9</td>
+      <td>2010-02-19</td>
+      <td>511327.90</td>
+      <td>False</td>
+      <td>43.06</td>
+      <td>2.514</td>
+      <td>214.850618</td>
+      <td>6.415</td>
+    </tr>
+    <tr>
+      <th>1289</th>
+      <td>10</td>
+      <td>2010-02-19</td>
+      <td>2113432.58</td>
+      <td>False</td>
+      <td>58.22</td>
+      <td>2.915</td>
+      <td>126.526286</td>
+      <td>9.765</td>
+    </tr>
+    <tr>
+      <th>1432</th>
+      <td>11</td>
+      <td>2010-02-19</td>
+      <td>1503298.70</td>
+      <td>False</td>
+      <td>48.30</td>
+      <td>2.514</td>
+      <td>214.619887</td>
+      <td>7.368</td>
+    </tr>
+    <tr>
+      <th>1575</th>
+      <td>12</td>
+      <td>2010-02-19</td>
+      <td>1095421.65</td>
+      <td>False</td>
+      <td>54.83</td>
+      <td>2.915</td>
+      <td>126.526286</td>
+      <td>13.975</td>
+    </tr>
+    <tr>
+      <th>1718</th>
+      <td>13</td>
+      <td>2010-02-19</td>
+      <td>1970274.64</td>
+      <td>False</td>
+      <td>35.70</td>
+      <td>2.654</td>
+      <td>126.526286</td>
+      <td>8.316</td>
+    </tr>
+    <tr>
+      <th>1861</th>
+      <td>14</td>
+      <td>2010-02-19</td>
+      <td>2204556.70</td>
+      <td>False</td>
+      <td>31.27</td>
+      <td>2.745</td>
+      <td>182.034782</td>
+      <td>8.992</td>
+    </tr>
+    <tr>
+      <th>2004</th>
+      <td>15</td>
+      <td>2010-02-19</td>
+      <td>660838.75</td>
+      <td>False</td>
+      <td>27.54</td>
+      <td>2.909</td>
+      <td>131.637000</td>
+      <td>8.350</td>
+    </tr>
+    <tr>
+      <th>2147</th>
+      <td>16</td>
+      <td>2010-02-19</td>
+      <td>469868.70</td>
+      <td>False</td>
+      <td>21.13</td>
+      <td>2.550</td>
+      <td>189.534100</td>
+      <td>7.039</td>
+    </tr>
+    <tr>
+      <th>2290</th>
+      <td>17</td>
+      <td>2010-02-19</td>
+      <td>800714.00</td>
+      <td>False</td>
+      <td>25.06</td>
+      <td>2.654</td>
+      <td>126.526286</td>
+      <td>6.548</td>
+    </tr>
+    <tr>
+      <th>2433</th>
+      <td>18</td>
+      <td>2010-02-19</td>
+      <td>1150663.42</td>
+      <td>False</td>
+      <td>30.91</td>
+      <td>2.747</td>
+      <td>131.637000</td>
+      <td>9.202</td>
+    </tr>
+    <tr>
+      <th>2576</th>
+      <td>19</td>
+      <td>2010-02-19</td>
+      <td>1515976.11</td>
+      <td>False</td>
+      <td>28.57</td>
+      <td>2.909</td>
+      <td>131.637000</td>
+      <td>8.350</td>
+    </tr>
+    <tr>
+      <th>2719</th>
+      <td>20</td>
+      <td>2010-02-19</td>
+      <td>2161549.76</td>
+      <td>False</td>
+      <td>25.43</td>
+      <td>2.745</td>
+      <td>204.432100</td>
+      <td>8.187</td>
+    </tr>
+    <tr>
+      <th>2862</th>
+      <td>21</td>
+      <td>2010-02-19</td>
+      <td>867283.25</td>
+      <td>False</td>
+      <td>39.75</td>
+      <td>2.514</td>
+      <td>210.945160</td>
+      <td>8.324</td>
+    </tr>
+    <tr>
+      <th>3005</th>
+      <td>22</td>
+      <td>2010-02-19</td>
+      <td>988467.61</td>
+      <td>False</td>
+      <td>31.96</td>
+      <td>2.747</td>
+      <td>135.465778</td>
+      <td>8.283</td>
+    </tr>
+    <tr>
+      <th>3148</th>
+      <td>23</td>
+      <td>2010-02-19</td>
+      <td>1319588.04</td>
+      <td>False</td>
+      <td>26.70</td>
+      <td>2.747</td>
+      <td>131.637000</td>
+      <td>5.892</td>
+    </tr>
+    <tr>
+      <th>3291</th>
+      <td>24</td>
+      <td>2010-02-19</td>
+      <td>1385362.49</td>
+      <td>False</td>
+      <td>31.05</td>
+      <td>2.909</td>
+      <td>131.637000</td>
+      <td>8.326</td>
+    </tr>
+    <tr>
+      <th>3434</th>
+      <td>25</td>
+      <td>2010-02-19</td>
+      <td>676260.67</td>
+      <td>False</td>
+      <td>24.16</td>
+      <td>2.745</td>
+      <td>204.432100</td>
+      <td>8.187</td>
+    </tr>
+    <tr>
+      <th>3577</th>
+      <td>26</td>
+      <td>2010-02-19</td>
+      <td>999348.55</td>
+      <td>False</td>
+      <td>22.62</td>
+      <td>2.747</td>
+      <td>131.637000</td>
+      <td>8.488</td>
+    </tr>
+    <tr>
+      <th>3720</th>
+      <td>27</td>
+      <td>2010-02-19</td>
+      <td>1945070.33</td>
+      <td>False</td>
+      <td>32.44</td>
+      <td>2.909</td>
+      <td>135.465778</td>
+      <td>8.237</td>
+    </tr>
+    <tr>
+      <th>3863</th>
+      <td>28</td>
+      <td>2010-02-19</td>
+      <td>1491300.42</td>
+      <td>False</td>
+      <td>54.83</td>
+      <td>2.915</td>
+      <td>126.526286</td>
+      <td>13.975</td>
+    </tr>
+    <tr>
+      <th>4006</th>
+      <td>29</td>
+      <td>2010-02-19</td>
+      <td>542399.07</td>
+      <td>False</td>
+      <td>31.96</td>
+      <td>2.747</td>
+      <td>131.637000</td>
+      <td>10.064</td>
+    </tr>
+    <tr>
+      <th>4149</th>
+      <td>30</td>
+      <td>2010-02-19</td>
+      <td>463513.26</td>
+      <td>False</td>
+      <td>39.75</td>
+      <td>2.514</td>
+      <td>210.945160</td>
+      <td>8.324</td>
+    </tr>
+    <tr>
+      <th>4292</th>
+      <td>31</td>
+      <td>2010-02-19</td>
+      <td>1473386.75</td>
+      <td>False</td>
+      <td>39.75</td>
+      <td>2.514</td>
+      <td>210.945160</td>
+      <td>8.324</td>
+    </tr>
+    <tr>
+      <th>4435</th>
+      <td>32</td>
+      <td>2010-02-19</td>
+      <td>1082559.06</td>
+      <td>False</td>
+      <td>29.16</td>
+      <td>2.550</td>
+      <td>189.534100</td>
+      <td>9.014</td>
+    </tr>
+    <tr>
+      <th>4578</th>
+      <td>33</td>
+      <td>2010-02-19</td>
+      <td>296850.83</td>
+      <td>False</td>
+      <td>62.16</td>
+      <td>2.915</td>
+      <td>126.526286</td>
+      <td>10.115</td>
+    </tr>
+    <tr>
+      <th>4721</th>
+      <td>34</td>
+      <td>2010-02-19</td>
+      <td>983963.07</td>
+      <td>False</td>
+      <td>38.36</td>
+      <td>2.540</td>
+      <td>126.526286</td>
+      <td>9.521</td>
+    </tr>
+    <tr>
+      <th>4864</th>
+      <td>35</td>
+      <td>2010-02-19</td>
+      <td>1270658.64</td>
+      <td>False</td>
+      <td>32.44</td>
+      <td>2.745</td>
+      <td>135.465778</td>
+      <td>9.262</td>
+    </tr>
+    <tr>
+      <th>5007</th>
+      <td>36</td>
+      <td>2010-02-19</td>
+      <td>470281.03</td>
+      <td>False</td>
+      <td>45.66</td>
+      <td>2.472</td>
+      <td>210.045102</td>
+      <td>8.554</td>
+    </tr>
+    <tr>
+      <th>5150</th>
+      <td>37</td>
+      <td>2010-02-19</td>
+      <td>510382.50</td>
+      <td>False</td>
+      <td>45.66</td>
+      <td>2.514</td>
+      <td>210.045102</td>
+      <td>8.554</td>
+    </tr>
+    <tr>
+      <th>5293</th>
+      <td>38</td>
+      <td>2010-02-19</td>
+      <td>327237.92</td>
+      <td>False</td>
+      <td>54.83</td>
+      <td>2.915</td>
+      <td>126.526286</td>
+      <td>13.975</td>
+    </tr>
+    <tr>
+      <th>5436</th>
+      <td>39</td>
+      <td>2010-02-19</td>
+      <td>1230591.97</td>
+      <td>False</td>
+      <td>43.96</td>
+      <td>2.514</td>
+      <td>210.045102</td>
+      <td>8.554</td>
+    </tr>
+    <tr>
+      <th>5579</th>
+      <td>40</td>
+      <td>2010-02-19</td>
+      <td>916289.20</td>
+      <td>False</td>
+      <td>27.84</td>
+      <td>2.747</td>
+      <td>131.637000</td>
+      <td>5.892</td>
+    </tr>
+    <tr>
+      <th>5722</th>
+      <td>41</td>
+      <td>2010-02-19</td>
+      <td>1052034.74</td>
+      <td>False</td>
+      <td>24.13</td>
+      <td>2.550</td>
+      <td>189.534100</td>
+      <td>7.541</td>
+    </tr>
+    <tr>
+      <th>5865</th>
+      <td>42</td>
+      <td>2010-02-19</td>
+      <td>508794.87</td>
+      <td>False</td>
+      <td>58.22</td>
+      <td>2.915</td>
+      <td>126.526286</td>
+      <td>9.765</td>
+    </tr>
+    <tr>
+      <th>6008</th>
+      <td>43</td>
+      <td>2010-02-19</td>
+      <td>658997.55</td>
+      <td>False</td>
+      <td>48.77</td>
+      <td>2.514</td>
+      <td>203.247980</td>
+      <td>9.521</td>
+    </tr>
+    <tr>
+      <th>6151</th>
+      <td>44</td>
+      <td>2010-02-19</td>
+      <td>267956.30</td>
+      <td>False</td>
+      <td>35.70</td>
+      <td>2.654</td>
+      <td>126.526286</td>
+      <td>8.119</td>
+    </tr>
+    <tr>
+      <th>6294</th>
+      <td>45</td>
+      <td>2010-02-19</td>
+      <td>841264.04</td>
+      <td>False</td>
+      <td>31.27</td>
+      <td>2.745</td>
+      <td>182.034782</td>
+      <td>8.992</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
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 <div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
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 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[57]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[59]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
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 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">walmart</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span>
@@ -19409,7 +20160,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[57]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[59]:</div>
 
 
 
@@ -19427,7 +20178,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[58]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[60]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">walmart</span><span class="o">.</span><span class="n">loc</span><span class="p">[[</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">]]</span>
@@ -19446,7 +20197,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[58]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[60]:</div>
 
 
 
@@ -19527,7 +20278,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[59]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[61]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">walmart</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
@@ -19546,7 +20297,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[59]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[61]:</div>
 
 
 
@@ -19580,7 +20331,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[60]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[62]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">walmart</span>
@@ -19599,7 +20350,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[60]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[62]:</div>
 
 
 
@@ -19769,7 +20520,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[61]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[63]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">walmart</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">walmart</span><span class="p">[</span><span class="s1">&#39;Holiday_Flag&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">]</span>
@@ -19788,7 +20539,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[61]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[63]:</div>
 
 
 
@@ -19958,7 +20709,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[62]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[64]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">walmart</span><span class="o">.</span><span class="n">loc</span><span class="p">[(</span><span class="n">walmart</span><span class="p">[</span><span class="s1">&#39;Temperature&#39;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">90</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">walmart</span><span class="p">[</span><span class="s1">&#39;Store&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">)]</span>
@@ -19977,7 +20728,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[62]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[64]:</div>
 
 
 
@@ -20044,6 +20795,117 @@ <h2><font color=green> DataFrame</h2>
 
 </div>
 
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[65]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">walmart</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">walmart</span><span class="o">.</span><span class="n">index</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">10</span><span class="p">],[</span><span class="s2">&quot;Store&quot;</span><span class="p">,</span> <span class="s2">&quot;Date&quot;</span><span class="p">]]</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[65]:</div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>Store</th>
+      <th>Date</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>0</th>
+      <td>1</td>
+      <td>2010-05-02</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>1</td>
+      <td>2010-12-02</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>1</td>
+      <td>2010-02-19</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>1</td>
+      <td>2010-02-26</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>1</td>
+      <td>2010-05-03</td>
+    </tr>
+    <tr>
+      <th>5</th>
+      <td>1</td>
+      <td>2010-12-03</td>
+    </tr>
+    <tr>
+      <th>6</th>
+      <td>1</td>
+      <td>2010-03-19</td>
+    </tr>
+    <tr>
+      <th>7</th>
+      <td>1</td>
+      <td>2010-03-26</td>
+    </tr>
+    <tr>
+      <th>8</th>
+      <td>1</td>
+      <td>2010-02-04</td>
+    </tr>
+    <tr>
+      <th>9</th>
+      <td>1</td>
+      <td>2010-09-04</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
 </div>
 <div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
@@ -20056,7 +20918,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[63]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[66]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">walmart</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">walmart</span><span class="p">[</span><span class="s1">&#39;Store&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">pipe</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="p">[</span><span class="n">x</span><span class="p">[</span><span class="s1">&#39;Temperature&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">(),</span> <span class="n">x</span><span class="p">[</span><span class="s1">&#39;Temperature&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">min</span><span class="p">()])</span>
@@ -20075,7 +20937,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[63]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[66]:</div>
 
 
 
@@ -20093,7 +20955,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[64]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[67]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">walmart</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;Store==1&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">pipe</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="p">[</span><span class="n">x</span><span class="p">[</span><span class="s1">&#39;Temperature&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">(),</span> <span class="n">x</span><span class="p">[</span><span class="s1">&#39;Temperature&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">min</span><span class="p">()])</span>
@@ -20112,7 +20974,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[64]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[67]:</div>
 
 
 
@@ -20138,7 +21000,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[65]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[68]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">walmart</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">walmart</span><span class="p">[</span><span class="s1">&#39;Store&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">eval</span><span class="p">(</span><span class="s2">&quot;Temperature.max(), Temperature.min()&quot;</span><span class="p">)</span>
@@ -20157,7 +21019,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[65]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[68]:</div>
 
 
 
@@ -20175,7 +21037,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[66]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[69]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">walmart</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;Store==1&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">eval</span><span class="p">(</span><span class="s2">&quot;Temperature.max(), Temperature.min()&quot;</span><span class="p">)</span>
@@ -20194,7 +21056,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[66]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[69]:</div>
 
 
 
@@ -20220,7 +21082,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[67]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[70]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_aux</span> <span class="o">=</span> <span class="n">walmart</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
@@ -20240,7 +21102,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[67]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[70]:</div>
 
 
 
@@ -20418,7 +21280,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[68]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[71]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_aux</span><span class="o">.</span><span class="n">filter</span><span class="p">(</span><span class="n">items</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;Date&#39;</span><span class="p">,</span><span class="s1">&#39;Weekly_Sales&#39;</span><span class="p">])</span>
@@ -20437,7 +21299,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[68]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[71]:</div>
 
 
 
@@ -20543,7 +21405,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[69]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[72]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_aux</span><span class="o">.</span><span class="n">filter</span><span class="p">(</span><span class="n">regex</span><span class="o">=</span><span class="s1">&#39;e$&#39;</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
@@ -20562,7 +21424,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[69]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[72]:</div>
 
 
 
@@ -20692,7 +21554,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[70]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[73]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_aux</span><span class="o">.</span><span class="n">filter</span><span class="p">(</span><span class="n">like</span><span class="o">=</span><span class="s1">&#39;10&#39;</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
@@ -20711,7 +21573,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[70]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[73]:</div>
 
 
 
@@ -20889,7 +21751,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[71]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[74]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="k">del</span> <span class="n">df_aux</span><span class="p">[</span><span class="s1">&#39;CPI&#39;</span><span class="p">]</span>
@@ -20909,7 +21771,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[71]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[74]:</div>
 
 
 
@@ -21075,7 +21937,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[72]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[75]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_aux</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
@@ -21094,7 +21956,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[72]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[75]:</div>
 
 
 
@@ -21252,7 +22114,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[73]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[76]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_aux</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="mi">6431</span><span class="p">,</span><span class="mi">6433</span><span class="p">])</span>
@@ -21271,7 +22133,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[73]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[76]:</div>
 
 
 
@@ -21437,7 +22299,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[74]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[77]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_aux</span>
@@ -21456,7 +22318,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[74]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[77]:</div>
 
 
 
@@ -21622,7 +22484,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[75]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[78]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_aux</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="mi">6431</span><span class="p">,</span><span class="mi">6433</span><span class="p">],</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
@@ -21642,7 +22504,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[75]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[78]:</div>
 
 
 
@@ -21808,7 +22670,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[76]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[79]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_aux</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s1">&#39;Fuel_Price&#39;</span><span class="p">,</span><span class="s1">&#39;Unemployment&#39;</span><span class="p">],</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="s1">&#39;columns&#39;</span><span class="p">)</span>
@@ -21828,7 +22690,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[76]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[79]:</div>
 
 
 
@@ -21970,7 +22832,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[77]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[80]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_aux</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">&#39;indice&#39;</span>
@@ -21985,7 +22847,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[78]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[81]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_aux</span>
@@ -22004,7 +22866,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[78]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[81]:</div>
 
 
 
@@ -22154,7 +23016,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[79]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[82]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_aux</span> <span class="o">=</span> <span class="n">df_aux</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;Store==1&quot;</span><span class="p">)</span>
@@ -22174,7 +23036,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[79]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[82]:</div>
 
 
 
@@ -22324,7 +23186,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[80]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[83]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">time_sentences</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;Saturday: Weekend (Not working day)&quot;</span><span class="p">,</span>
@@ -22352,7 +23214,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[80]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[83]:</div>
 
 
 
@@ -22421,7 +23283,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[81]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[84]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_sentences</span> <span class="o">=</span> <span class="n">df_sentences</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">text</span><span class="o">=</span><span class="n">df_sentences</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">lower</span><span class="p">(),</span>
@@ -22445,7 +23307,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[81]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[84]:</div>
 
 
 
@@ -22546,7 +23408,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[82]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[85]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_aux</span> <span class="o">=</span> <span class="n">df_aux</span><span class="o">.</span><span class="n">rename</span><span class="p">({</span><span class="s2">&quot;Store&quot;</span><span class="p">:</span> <span class="s2">&quot;loja&quot;</span><span class="p">,</span> 
@@ -22571,7 +23433,7 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[82]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[85]:</div>
 
 
 
@@ -22721,7 +23583,7 @@ <h2><font color=green> DataFrame</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[83]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[86]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">format_dict</span> <span class="o">=</span> <span class="p">{</span>
@@ -22745,1156 +23607,1156 @@ <h2><font color=green> DataFrame</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[83]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[86]:</div>
 
 
 
 <div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
 <style  type="text/css" >
-</style><table id="T_b3bcd_" ><thead>    <tr>        <th class="index_name level0" >dados</th>        <th class="col_heading level0 col0" >loja</th>        <th class="col_heading level0 col1" >data</th>        <th class="col_heading level0 col2" >vendas_semanais</th>        <th class="col_heading level0 col3" >feriado</th>        <th class="col_heading level0 col4" >temperatura</th>    </tr>    <tr>        <th class="index_name level0" >indice</th>        <th class="blank" ></th>        <th class="blank" ></th>        <th class="blank" ></th>        <th class="blank" ></th>        <th class="blank" ></th>    </tr></thead><tbody>
+</style><table id="T_ee0f7_" ><thead>    <tr>        <th class="index_name level0" >dados</th>        <th class="col_heading level0 col0" >loja</th>        <th class="col_heading level0 col1" >data</th>        <th class="col_heading level0 col2" >vendas_semanais</th>        <th class="col_heading level0 col3" >feriado</th>        <th class="col_heading level0 col4" >temperatura</th>    </tr>    <tr>        <th class="index_name level0" >indice</th>        <th class="blank" ></th>        <th class="blank" ></th>        <th class="blank" ></th>        <th class="blank" ></th>        <th class="blank" ></th>    </tr></thead><tbody>
                 <tr>
-                        <th id="T_b3bcd_level0_row0" class="row_heading level0 row0" >0</th>
-                        <td id="T_b3bcd_row0_col0" class="data row0 col0" >1</td>
-                        <td id="T_b3bcd_row0_col1" class="data row0 col1" >02/05/10</td>
-                        <td id="T_b3bcd_row0_col2" class="data row0 col2" >$ 1643690.90</td>
-                        <td id="T_b3bcd_row0_col3" class="data row0 col3" >False</td>
-                        <td id="T_b3bcd_row0_col4" class="data row0 col4" >42.31º</td>
+                        <th id="T_ee0f7_level0_row0" class="row_heading level0 row0" >0</th>
+                        <td id="T_ee0f7_row0_col0" class="data row0 col0" >1</td>
+                        <td id="T_ee0f7_row0_col1" class="data row0 col1" >02/05/10</td>
+                        <td id="T_ee0f7_row0_col2" class="data row0 col2" >$ 1643690.90</td>
+                        <td id="T_ee0f7_row0_col3" class="data row0 col3" >False</td>
+                        <td id="T_ee0f7_row0_col4" class="data row0 col4" >42.31º</td>
             </tr>
-            <tr>
-                        <th id="T_b3bcd_level0_row1" class="row_heading level0 row1" >1</th>
-                        <td id="T_b3bcd_row1_col0" class="data row1 col0" >1</td>
-                        <td id="T_b3bcd_row1_col1" class="data row1 col1" >02/12/10</td>
-                        <td id="T_b3bcd_row1_col2" class="data row1 col2" >$ 1641957.44</td>
-                        <td id="T_b3bcd_row1_col3" class="data row1 col3" >True</td>
-                        <td id="T_b3bcd_row1_col4" class="data row1 col4" >38.51º</td>
+            <tr>
+                        <th id="T_ee0f7_level0_row1" class="row_heading level0 row1" >1</th>
+                        <td id="T_ee0f7_row1_col0" class="data row1 col0" >1</td>
+                        <td id="T_ee0f7_row1_col1" class="data row1 col1" >02/12/10</td>
+                        <td id="T_ee0f7_row1_col2" class="data row1 col2" >$ 1641957.44</td>
+                        <td id="T_ee0f7_row1_col3" class="data row1 col3" >True</td>
+                        <td id="T_ee0f7_row1_col4" class="data row1 col4" >38.51º</td>
             </tr>
-            <tr>
-                        <th id="T_b3bcd_level0_row2" class="row_heading level0 row2" >2</th>
-                        <td id="T_b3bcd_row2_col0" class="data row2 col0" >1</td>
-                        <td id="T_b3bcd_row2_col1" class="data row2 col1" >19/02/10</td>
-                        <td id="T_b3bcd_row2_col2" class="data row2 col2" >$ 1611968.17</td>
-                        <td id="T_b3bcd_row2_col3" class="data row2 col3" >False</td>
-                        <td id="T_b3bcd_row2_col4" class="data row2 col4" >39.93º</td>
+            <tr>
+                        <th id="T_ee0f7_level0_row2" class="row_heading level0 row2" >2</th>
+                        <td id="T_ee0f7_row2_col0" class="data row2 col0" >1</td>
+                        <td id="T_ee0f7_row2_col1" class="data row2 col1" >19/02/10</td>
+                        <td id="T_ee0f7_row2_col2" class="data row2 col2" >$ 1611968.17</td>
+                        <td id="T_ee0f7_row2_col3" class="data row2 col3" >False</td>
+                        <td id="T_ee0f7_row2_col4" class="data row2 col4" >39.93º</td>
             </tr>
-            <tr>
-                        <th id="T_b3bcd_level0_row3" class="row_heading level0 row3" >3</th>
-                        <td id="T_b3bcd_row3_col0" class="data row3 col0" >1</td>
-                        <td id="T_b3bcd_row3_col1" class="data row3 col1" >26/02/10</td>
-                        <td id="T_b3bcd_row3_col2" class="data row3 col2" >$ 1409727.59</td>
-                        <td id="T_b3bcd_row3_col3" class="data row3 col3" >False</td>
-                        <td id="T_b3bcd_row3_col4" class="data row3 col4" >46.63º</td>
+            <tr>
+                        <th id="T_ee0f7_level0_row3" class="row_heading level0 row3" >3</th>
+                        <td id="T_ee0f7_row3_col0" class="data row3 col0" >1</td>
+                        <td id="T_ee0f7_row3_col1" class="data row3 col1" >26/02/10</td>
+                        <td id="T_ee0f7_row3_col2" class="data row3 col2" >$ 1409727.59</td>
+                        <td id="T_ee0f7_row3_col3" class="data row3 col3" >False</td>
+                        <td id="T_ee0f7_row3_col4" class="data row3 col4" >46.63º</td>
             </tr>
-            <tr>
-                        <th id="T_b3bcd_level0_row4" class="row_heading level0 row4" >4</th>
-                        <td id="T_b3bcd_row4_col0" class="data row4 col0" >1</td>
-                        <td id="T_b3bcd_row4_col1" class="data row4 col1" >03/05/10</td>
-                        <td id="T_b3bcd_row4_col2" class="data row4 col2" >$ 1554806.68</td>
-                        <td id="T_b3bcd_row4_col3" class="data row4 col3" >False</td>
-                        <td id="T_b3bcd_row4_col4" class="data row4 col4" >46.50º</td>
+            <tr>
+                        <th id="T_ee0f7_level0_row4" class="row_heading level0 row4" >4</th>
+                        <td id="T_ee0f7_row4_col0" class="data row4 col0" >1</td>
+                        <td id="T_ee0f7_row4_col1" class="data row4 col1" >03/05/10</td>
+                        <td id="T_ee0f7_row4_col2" class="data row4 col2" >$ 1554806.68</td>
+                        <td id="T_ee0f7_row4_col3" class="data row4 col3" >False</td>
+                        <td id="T_ee0f7_row4_col4" class="data row4 col4" >46.50º</td>
             </tr>
-            <tr>
-                        <th id="T_b3bcd_level0_row5" class="row_heading level0 row5" >5</th>
-                        <td id="T_b3bcd_row5_col0" class="data row5 col0" >1</td>
-                        <td id="T_b3bcd_row5_col1" class="data row5 col1" >03/12/10</td>
-                        <td id="T_b3bcd_row5_col2" class="data row5 col2" >$ 1439541.59</td>
-                        <td id="T_b3bcd_row5_col3" class="data row5 col3" >False</td>
-                        <td id="T_b3bcd_row5_col4" class="data row5 col4" >57.79º</td>
+            <tr>
+                        <th id="T_ee0f7_level0_row5" class="row_heading level0 row5" >5</th>
+                        <td id="T_ee0f7_row5_col0" class="data row5 col0" >1</td>
+                        <td id="T_ee0f7_row5_col1" class="data row5 col1" >03/12/10</td>
+                        <td id="T_ee0f7_row5_col2" class="data row5 col2" >$ 1439541.59</td>
+                        <td id="T_ee0f7_row5_col3" class="data row5 col3" >False</td>
+                        <td id="T_ee0f7_row5_col4" class="data row5 col4" >57.79º</td>
             </tr>
-            <tr>
-                        <th id="T_b3bcd_level0_row6" class="row_heading level0 row6" >6</th>
-                        <td id="T_b3bcd_row6_col0" class="data row6 col0" >1</td>
-                        <td id="T_b3bcd_row6_col1" class="data row6 col1" >19/03/10</td>
-                        <td id="T_b3bcd_row6_col2" class="data row6 col2" >$ 1472515.79</td>
-                        <td id="T_b3bcd_row6_col3" class="data row6 col3" >False</td>
-                        <td id="T_b3bcd_row6_col4" class="data row6 col4" >54.58º</td>
+            <tr>
+                        <th id="T_ee0f7_level0_row6" class="row_heading level0 row6" >6</th>
+                        <td id="T_ee0f7_row6_col0" class="data row6 col0" >1</td>
+                        <td id="T_ee0f7_row6_col1" class="data row6 col1" >19/03/10</td>
+                        <td id="T_ee0f7_row6_col2" class="data row6 col2" >$ 1472515.79</td>
+                        <td id="T_ee0f7_row6_col3" class="data row6 col3" >False</td>
+                        <td id="T_ee0f7_row6_col4" class="data row6 col4" >54.58º</td>
             </tr>
-            <tr>
-                        <th id="T_b3bcd_level0_row7" class="row_heading level0 row7" >7</th>
-                        <td id="T_b3bcd_row7_col0" class="data row7 col0" >1</td>
-                        <td id="T_b3bcd_row7_col1" class="data row7 col1" >26/03/10</td>
-                        <td id="T_b3bcd_row7_col2" class="data row7 col2" >$ 1404429.92</td>
-                        <td id="T_b3bcd_row7_col3" class="data row7 col3" >False</td>
-                        <td id="T_b3bcd_row7_col4" class="data row7 col4" >51.45º</td>
+            <tr>
+                        <th id="T_ee0f7_level0_row7" class="row_heading level0 row7" >7</th>
+                        <td id="T_ee0f7_row7_col0" class="data row7 col0" >1</td>
+                        <td id="T_ee0f7_row7_col1" class="data row7 col1" >26/03/10</td>
+                        <td id="T_ee0f7_row7_col2" class="data row7 col2" >$ 1404429.92</td>
+                        <td id="T_ee0f7_row7_col3" class="data row7 col3" >False</td>
+                        <td id="T_ee0f7_row7_col4" class="data row7 col4" >51.45º</td>
             </tr>
-            <tr>
-                        <th id="T_b3bcd_level0_row8" class="row_heading level0 row8" >8</th>
-                        <td id="T_b3bcd_row8_col0" class="data row8 col0" >1</td>
-                        <td id="T_b3bcd_row8_col1" class="data row8 col1" >04/02/10</td>
-                        <td id="T_b3bcd_row8_col2" class="data row8 col2" >$ 1594968.28</td>
-                        <td id="T_b3bcd_row8_col3" class="data row8 col3" >False</td>
-                        <td id="T_b3bcd_row8_col4" class="data row8 col4" >62.27º</td>
+            <tr>
+                        <th id="T_ee0f7_level0_row8" class="row_heading level0 row8" >8</th>
+                        <td id="T_ee0f7_row8_col0" class="data row8 col0" >1</td>
+                        <td id="T_ee0f7_row8_col1" class="data row8 col1" >04/02/10</td>
+                        <td id="T_ee0f7_row8_col2" class="data row8 col2" >$ 1594968.28</td>
+                        <td id="T_ee0f7_row8_col3" class="data row8 col3" >False</td>
+                        <td id="T_ee0f7_row8_col4" class="data row8 col4" >62.27º</td>
             </tr>
-            <tr>
-                        <th id="T_b3bcd_level0_row9" class="row_heading level0 row9" >9</th>
-                        <td id="T_b3bcd_row9_col0" class="data row9 col0" >1</td>
-                        <td id="T_b3bcd_row9_col1" class="data row9 col1" >04/09/10</td>
-                        <td id="T_b3bcd_row9_col2" class="data row9 col2" >$ 1545418.53</td>
-                        <td id="T_b3bcd_row9_col3" class="data row9 col3" >False</td>
-                        <td id="T_b3bcd_row9_col4" class="data row9 col4" >65.86º</td>
+            <tr>
+                        <th id="T_ee0f7_level0_row9" class="row_heading level0 row9" >9</th>
+                        <td id="T_ee0f7_row9_col0" class="data row9 col0" >1</td>
+                        <td id="T_ee0f7_row9_col1" class="data row9 col1" >04/09/10</td>
+                        <td id="T_ee0f7_row9_col2" class="data row9 col2" >$ 1545418.53</td>
+                        <td id="T_ee0f7_row9_col3" class="data row9 col3" >False</td>
+                        <td id="T_ee0f7_row9_col4" class="data row9 col4" >65.86º</td>
             </tr>
-            <tr>
-                        <th id="T_b3bcd_level0_row10" class="row_heading level0 row10" >10</th>
-                        <td id="T_b3bcd_row10_col0" class="data row10 col0" >1</td>
-                        <td id="T_b3bcd_row10_col1" class="data row10 col1" >16/04/10</td>
-                        <td id="T_b3bcd_row10_col2" class="data row10 col2" >$ 1466058.28</td>
-                        <td id="T_b3bcd_row10_col3" class="data row10 col3" >False</td>
-                        <td id="T_b3bcd_row10_col4" class="data row10 col4" >66.32º</td>
+            <tr>
+                        <th id="T_ee0f7_level0_row10" class="row_heading level0 row10" >10</th>
+                        <td id="T_ee0f7_row10_col0" class="data row10 col0" >1</td>
+                        <td id="T_ee0f7_row10_col1" class="data row10 col1" >16/04/10</td>
+                        <td id="T_ee0f7_row10_col2" class="data row10 col2" >$ 1466058.28</td>
+                        <td id="T_ee0f7_row10_col3" class="data row10 col3" >False</td>
+                        <td id="T_ee0f7_row10_col4" class="data row10 col4" >66.32º</td>
             </tr>
-            <tr>
-                        <th id="T_b3bcd_level0_row11" class="row_heading level0 row11" >11</th>
-                        <td id="T_b3bcd_row11_col0" class="data row11 col0" >1</td>
-                        <td id="T_b3bcd_row11_col1" class="data row11 col1" >23/04/10</td>
-                        <td id="T_b3bcd_row11_col2" class="data row11 col2" >$ 1391256.12</td>
-                        <td id="T_b3bcd_row11_col3" class="data row11 col3" >False</td>
-                        <td id="T_b3bcd_row11_col4" class="data row11 col4" >64.84º</td>
+            <tr>
+                        <th id="T_ee0f7_level0_row11" class="row_heading level0 row11" >11</th>
+                        <td id="T_ee0f7_row11_col0" class="data row11 col0" >1</td>
+                        <td id="T_ee0f7_row11_col1" class="data row11 col1" >23/04/10</td>
+                        <td id="T_ee0f7_row11_col2" class="data row11 col2" >$ 1391256.12</td>
+                        <td id="T_ee0f7_row11_col3" class="data row11 col3" >False</td>
+                        <td id="T_ee0f7_row11_col4" class="data row11 col4" >64.84º</td>
             </tr>
-            <tr>
-                        <th id="T_b3bcd_level0_row12" class="row_heading level0 row12" >12</th>
-                        <td id="T_b3bcd_row12_col0" class="data row12 col0" >1</td>
-                        <td id="T_b3bcd_row12_col1" class="data row12 col1" >30/04/10</td>
-                        <td id="T_b3bcd_row12_col2" class="data row12 col2" >$ 1425100.71</td>
-                        <td id="T_b3bcd_row12_col3" class="data row12 col3" >False</td>
-                        <td id="T_b3bcd_row12_col4" class="data row12 col4" >67.41º</td>
+            <tr>
+                        <th id="T_ee0f7_level0_row12" class="row_heading level0 row12" >12</th>
+                        <td id="T_ee0f7_row12_col0" class="data row12 col0" >1</td>
+                        <td id="T_ee0f7_row12_col1" class="data row12 col1" >30/04/10</td>
+                        <td id="T_ee0f7_row12_col2" class="data row12 col2" >$ 1425100.71</td>
+                        <td id="T_ee0f7_row12_col3" class="data row12 col3" >False</td>
+                        <td id="T_ee0f7_row12_col4" class="data row12 col4" >67.41º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row13" class="row_heading level0 row13" >13</th>
-                        <td id="T_b3bcd_row13_col0" class="data row13 col0" >1</td>
-                        <td id="T_b3bcd_row13_col1" class="data row13 col1" >05/07/10</td>
-                        <td id="T_b3bcd_row13_col2" class="data row13 col2" >$ 1603955.12</td>
-                        <td id="T_b3bcd_row13_col3" class="data row13 col3" >False</td>
-                        <td id="T_b3bcd_row13_col4" class="data row13 col4" >72.55º</td>
+                        <th id="T_ee0f7_level0_row13" class="row_heading level0 row13" >13</th>
+                        <td id="T_ee0f7_row13_col0" class="data row13 col0" >1</td>
+                        <td id="T_ee0f7_row13_col1" class="data row13 col1" >05/07/10</td>
+                        <td id="T_ee0f7_row13_col2" class="data row13 col2" >$ 1603955.12</td>
+                        <td id="T_ee0f7_row13_col3" class="data row13 col3" >False</td>
+                        <td id="T_ee0f7_row13_col4" class="data row13 col4" >72.55º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row14" class="row_heading level0 row14" >14</th>
-                        <td id="T_b3bcd_row14_col0" class="data row14 col0" >1</td>
-                        <td id="T_b3bcd_row14_col1" class="data row14 col1" >14/05/10</td>
-                        <td id="T_b3bcd_row14_col2" class="data row14 col2" >$ 1494251.50</td>
-                        <td id="T_b3bcd_row14_col3" class="data row14 col3" >False</td>
-                        <td id="T_b3bcd_row14_col4" class="data row14 col4" >74.78º</td>
+                        <th id="T_ee0f7_level0_row14" class="row_heading level0 row14" >14</th>
+                        <td id="T_ee0f7_row14_col0" class="data row14 col0" >1</td>
+                        <td id="T_ee0f7_row14_col1" class="data row14 col1" >14/05/10</td>
+                        <td id="T_ee0f7_row14_col2" class="data row14 col2" >$ 1494251.50</td>
+                        <td id="T_ee0f7_row14_col3" class="data row14 col3" >False</td>
+                        <td id="T_ee0f7_row14_col4" class="data row14 col4" >74.78º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row15" class="row_heading level0 row15" >15</th>
-                        <td id="T_b3bcd_row15_col0" class="data row15 col0" >1</td>
-                        <td id="T_b3bcd_row15_col1" class="data row15 col1" >21/05/10</td>
-                        <td id="T_b3bcd_row15_col2" class="data row15 col2" >$ 1399662.07</td>
-                        <td id="T_b3bcd_row15_col3" class="data row15 col3" >False</td>
-                        <td id="T_b3bcd_row15_col4" class="data row15 col4" >76.44º</td>
+                        <th id="T_ee0f7_level0_row15" class="row_heading level0 row15" >15</th>
+                        <td id="T_ee0f7_row15_col0" class="data row15 col0" >1</td>
+                        <td id="T_ee0f7_row15_col1" class="data row15 col1" >21/05/10</td>
+                        <td id="T_ee0f7_row15_col2" class="data row15 col2" >$ 1399662.07</td>
+                        <td id="T_ee0f7_row15_col3" class="data row15 col3" >False</td>
+                        <td id="T_ee0f7_row15_col4" class="data row15 col4" >76.44º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row16" class="row_heading level0 row16" >16</th>
-                        <td id="T_b3bcd_row16_col0" class="data row16 col0" >1</td>
-                        <td id="T_b3bcd_row16_col1" class="data row16 col1" >28/05/10</td>
-                        <td id="T_b3bcd_row16_col2" class="data row16 col2" >$ 1432069.95</td>
-                        <td id="T_b3bcd_row16_col3" class="data row16 col3" >False</td>
-                        <td id="T_b3bcd_row16_col4" class="data row16 col4" >80.44º</td>
+                        <th id="T_ee0f7_level0_row16" class="row_heading level0 row16" >16</th>
+                        <td id="T_ee0f7_row16_col0" class="data row16 col0" >1</td>
+                        <td id="T_ee0f7_row16_col1" class="data row16 col1" >28/05/10</td>
+                        <td id="T_ee0f7_row16_col2" class="data row16 col2" >$ 1432069.95</td>
+                        <td id="T_ee0f7_row16_col3" class="data row16 col3" >False</td>
+                        <td id="T_ee0f7_row16_col4" class="data row16 col4" >80.44º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row17" class="row_heading level0 row17" >17</th>
-                        <td id="T_b3bcd_row17_col0" class="data row17 col0" >1</td>
-                        <td id="T_b3bcd_row17_col1" class="data row17 col1" >06/04/10</td>
-                        <td id="T_b3bcd_row17_col2" class="data row17 col2" >$ 1615524.71</td>
-                        <td id="T_b3bcd_row17_col3" class="data row17 col3" >False</td>
-                        <td id="T_b3bcd_row17_col4" class="data row17 col4" >80.69º</td>
+                        <th id="T_ee0f7_level0_row17" class="row_heading level0 row17" >17</th>
+                        <td id="T_ee0f7_row17_col0" class="data row17 col0" >1</td>
+                        <td id="T_ee0f7_row17_col1" class="data row17 col1" >06/04/10</td>
+                        <td id="T_ee0f7_row17_col2" class="data row17 col2" >$ 1615524.71</td>
+                        <td id="T_ee0f7_row17_col3" class="data row17 col3" >False</td>
+                        <td id="T_ee0f7_row17_col4" class="data row17 col4" >80.69º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row18" class="row_heading level0 row18" >18</th>
-                        <td id="T_b3bcd_row18_col0" class="data row18 col0" >1</td>
-                        <td id="T_b3bcd_row18_col1" class="data row18 col1" >06/11/10</td>
-                        <td id="T_b3bcd_row18_col2" class="data row18 col2" >$ 1542561.09</td>
-                        <td id="T_b3bcd_row18_col3" class="data row18 col3" >False</td>
-                        <td id="T_b3bcd_row18_col4" class="data row18 col4" >80.43º</td>
+                        <th id="T_ee0f7_level0_row18" class="row_heading level0 row18" >18</th>
+                        <td id="T_ee0f7_row18_col0" class="data row18 col0" >1</td>
+                        <td id="T_ee0f7_row18_col1" class="data row18 col1" >06/11/10</td>
+                        <td id="T_ee0f7_row18_col2" class="data row18 col2" >$ 1542561.09</td>
+                        <td id="T_ee0f7_row18_col3" class="data row18 col3" >False</td>
+                        <td id="T_ee0f7_row18_col4" class="data row18 col4" >80.43º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row19" class="row_heading level0 row19" >19</th>
-                        <td id="T_b3bcd_row19_col0" class="data row19 col0" >1</td>
-                        <td id="T_b3bcd_row19_col1" class="data row19 col1" >18/06/10</td>
-                        <td id="T_b3bcd_row19_col2" class="data row19 col2" >$ 1503284.06</td>
-                        <td id="T_b3bcd_row19_col3" class="data row19 col3" >False</td>
-                        <td id="T_b3bcd_row19_col4" class="data row19 col4" >84.11º</td>
+                        <th id="T_ee0f7_level0_row19" class="row_heading level0 row19" >19</th>
+                        <td id="T_ee0f7_row19_col0" class="data row19 col0" >1</td>
+                        <td id="T_ee0f7_row19_col1" class="data row19 col1" >18/06/10</td>
+                        <td id="T_ee0f7_row19_col2" class="data row19 col2" >$ 1503284.06</td>
+                        <td id="T_ee0f7_row19_col3" class="data row19 col3" >False</td>
+                        <td id="T_ee0f7_row19_col4" class="data row19 col4" >84.11º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row20" class="row_heading level0 row20" >20</th>
-                        <td id="T_b3bcd_row20_col0" class="data row20 col0" >1</td>
-                        <td id="T_b3bcd_row20_col1" class="data row20 col1" >25/06/10</td>
-                        <td id="T_b3bcd_row20_col2" class="data row20 col2" >$ 1422711.60</td>
-                        <td id="T_b3bcd_row20_col3" class="data row20 col3" >False</td>
-                        <td id="T_b3bcd_row20_col4" class="data row20 col4" >84.34º</td>
+                        <th id="T_ee0f7_level0_row20" class="row_heading level0 row20" >20</th>
+                        <td id="T_ee0f7_row20_col0" class="data row20 col0" >1</td>
+                        <td id="T_ee0f7_row20_col1" class="data row20 col1" >25/06/10</td>
+                        <td id="T_ee0f7_row20_col2" class="data row20 col2" >$ 1422711.60</td>
+                        <td id="T_ee0f7_row20_col3" class="data row20 col3" >False</td>
+                        <td id="T_ee0f7_row20_col4" class="data row20 col4" >84.34º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row21" class="row_heading level0 row21" >21</th>
-                        <td id="T_b3bcd_row21_col0" class="data row21 col0" >1</td>
-                        <td id="T_b3bcd_row21_col1" class="data row21 col1" >07/02/10</td>
-                        <td id="T_b3bcd_row21_col2" class="data row21 col2" >$ 1492418.14</td>
-                        <td id="T_b3bcd_row21_col3" class="data row21 col3" >False</td>
-                        <td id="T_b3bcd_row21_col4" class="data row21 col4" >80.91º</td>
+                        <th id="T_ee0f7_level0_row21" class="row_heading level0 row21" >21</th>
+                        <td id="T_ee0f7_row21_col0" class="data row21 col0" >1</td>
+                        <td id="T_ee0f7_row21_col1" class="data row21 col1" >07/02/10</td>
+                        <td id="T_ee0f7_row21_col2" class="data row21 col2" >$ 1492418.14</td>
+                        <td id="T_ee0f7_row21_col3" class="data row21 col3" >False</td>
+                        <td id="T_ee0f7_row21_col4" class="data row21 col4" >80.91º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row22" class="row_heading level0 row22" >22</th>
-                        <td id="T_b3bcd_row22_col0" class="data row22 col0" >1</td>
-                        <td id="T_b3bcd_row22_col1" class="data row22 col1" >07/09/10</td>
-                        <td id="T_b3bcd_row22_col2" class="data row22 col2" >$ 1546074.18</td>
-                        <td id="T_b3bcd_row22_col3" class="data row22 col3" >False</td>
-                        <td id="T_b3bcd_row22_col4" class="data row22 col4" >80.48º</td>
+                        <th id="T_ee0f7_level0_row22" class="row_heading level0 row22" >22</th>
+                        <td id="T_ee0f7_row22_col0" class="data row22 col0" >1</td>
+                        <td id="T_ee0f7_row22_col1" class="data row22 col1" >07/09/10</td>
+                        <td id="T_ee0f7_row22_col2" class="data row22 col2" >$ 1546074.18</td>
+                        <td id="T_ee0f7_row22_col3" class="data row22 col3" >False</td>
+                        <td id="T_ee0f7_row22_col4" class="data row22 col4" >80.48º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row23" class="row_heading level0 row23" >23</th>
-                        <td id="T_b3bcd_row23_col0" class="data row23 col0" >1</td>
-                        <td id="T_b3bcd_row23_col1" class="data row23 col1" >16/07/10</td>
-                        <td id="T_b3bcd_row23_col2" class="data row23 col2" >$ 1448938.92</td>
-                        <td id="T_b3bcd_row23_col3" class="data row23 col3" >False</td>
-                        <td id="T_b3bcd_row23_col4" class="data row23 col4" >83.15º</td>
+                        <th id="T_ee0f7_level0_row23" class="row_heading level0 row23" >23</th>
+                        <td id="T_ee0f7_row23_col0" class="data row23 col0" >1</td>
+                        <td id="T_ee0f7_row23_col1" class="data row23 col1" >16/07/10</td>
+                        <td id="T_ee0f7_row23_col2" class="data row23 col2" >$ 1448938.92</td>
+                        <td id="T_ee0f7_row23_col3" class="data row23 col3" >False</td>
+                        <td id="T_ee0f7_row23_col4" class="data row23 col4" >83.15º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row24" class="row_heading level0 row24" >24</th>
-                        <td id="T_b3bcd_row24_col0" class="data row24 col0" >1</td>
-                        <td id="T_b3bcd_row24_col1" class="data row24 col1" >23/07/10</td>
-                        <td id="T_b3bcd_row24_col2" class="data row24 col2" >$ 1385065.20</td>
-                        <td id="T_b3bcd_row24_col3" class="data row24 col3" >False</td>
-                        <td id="T_b3bcd_row24_col4" class="data row24 col4" >83.36º</td>
+                        <th id="T_ee0f7_level0_row24" class="row_heading level0 row24" >24</th>
+                        <td id="T_ee0f7_row24_col0" class="data row24 col0" >1</td>
+                        <td id="T_ee0f7_row24_col1" class="data row24 col1" >23/07/10</td>
+                        <td id="T_ee0f7_row24_col2" class="data row24 col2" >$ 1385065.20</td>
+                        <td id="T_ee0f7_row24_col3" class="data row24 col3" >False</td>
+                        <td id="T_ee0f7_row24_col4" class="data row24 col4" >83.36º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row25" class="row_heading level0 row25" >25</th>
-                        <td id="T_b3bcd_row25_col0" class="data row25 col0" >1</td>
-                        <td id="T_b3bcd_row25_col1" class="data row25 col1" >30/07/10</td>
-                        <td id="T_b3bcd_row25_col2" class="data row25 col2" >$ 1371986.60</td>
-                        <td id="T_b3bcd_row25_col3" class="data row25 col3" >False</td>
-                        <td id="T_b3bcd_row25_col4" class="data row25 col4" >81.84º</td>
+                        <th id="T_ee0f7_level0_row25" class="row_heading level0 row25" >25</th>
+                        <td id="T_ee0f7_row25_col0" class="data row25 col0" >1</td>
+                        <td id="T_ee0f7_row25_col1" class="data row25 col1" >30/07/10</td>
+                        <td id="T_ee0f7_row25_col2" class="data row25 col2" >$ 1371986.60</td>
+                        <td id="T_ee0f7_row25_col3" class="data row25 col3" >False</td>
+                        <td id="T_ee0f7_row25_col4" class="data row25 col4" >81.84º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row26" class="row_heading level0 row26" >26</th>
-                        <td id="T_b3bcd_row26_col0" class="data row26 col0" >1</td>
-                        <td id="T_b3bcd_row26_col1" class="data row26 col1" >08/06/10</td>
-                        <td id="T_b3bcd_row26_col2" class="data row26 col2" >$ 1605491.78</td>
-                        <td id="T_b3bcd_row26_col3" class="data row26 col3" >False</td>
-                        <td id="T_b3bcd_row26_col4" class="data row26 col4" >87.16º</td>
+                        <th id="T_ee0f7_level0_row26" class="row_heading level0 row26" >26</th>
+                        <td id="T_ee0f7_row26_col0" class="data row26 col0" >1</td>
+                        <td id="T_ee0f7_row26_col1" class="data row26 col1" >08/06/10</td>
+                        <td id="T_ee0f7_row26_col2" class="data row26 col2" >$ 1605491.78</td>
+                        <td id="T_ee0f7_row26_col3" class="data row26 col3" >False</td>
+                        <td id="T_ee0f7_row26_col4" class="data row26 col4" >87.16º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row27" class="row_heading level0 row27" >27</th>
-                        <td id="T_b3bcd_row27_col0" class="data row27 col0" >1</td>
-                        <td id="T_b3bcd_row27_col1" class="data row27 col1" >13/08/10</td>
-                        <td id="T_b3bcd_row27_col2" class="data row27 col2" >$ 1508237.76</td>
-                        <td id="T_b3bcd_row27_col3" class="data row27 col3" >False</td>
-                        <td id="T_b3bcd_row27_col4" class="data row27 col4" >87.00º</td>
+                        <th id="T_ee0f7_level0_row27" class="row_heading level0 row27" >27</th>
+                        <td id="T_ee0f7_row27_col0" class="data row27 col0" >1</td>
+                        <td id="T_ee0f7_row27_col1" class="data row27 col1" >13/08/10</td>
+                        <td id="T_ee0f7_row27_col2" class="data row27 col2" >$ 1508237.76</td>
+                        <td id="T_ee0f7_row27_col3" class="data row27 col3" >False</td>
+                        <td id="T_ee0f7_row27_col4" class="data row27 col4" >87.00º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row28" class="row_heading level0 row28" >28</th>
-                        <td id="T_b3bcd_row28_col0" class="data row28 col0" >1</td>
-                        <td id="T_b3bcd_row28_col1" class="data row28 col1" >20/08/10</td>
-                        <td id="T_b3bcd_row28_col2" class="data row28 col2" >$ 1513080.49</td>
-                        <td id="T_b3bcd_row28_col3" class="data row28 col3" >False</td>
-                        <td id="T_b3bcd_row28_col4" class="data row28 col4" >86.65º</td>
+                        <th id="T_ee0f7_level0_row28" class="row_heading level0 row28" >28</th>
+                        <td id="T_ee0f7_row28_col0" class="data row28 col0" >1</td>
+                        <td id="T_ee0f7_row28_col1" class="data row28 col1" >20/08/10</td>
+                        <td id="T_ee0f7_row28_col2" class="data row28 col2" >$ 1513080.49</td>
+                        <td id="T_ee0f7_row28_col3" class="data row28 col3" >False</td>
+                        <td id="T_ee0f7_row28_col4" class="data row28 col4" >86.65º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row29" class="row_heading level0 row29" >29</th>
-                        <td id="T_b3bcd_row29_col0" class="data row29 col0" >1</td>
-                        <td id="T_b3bcd_row29_col1" class="data row29 col1" >27/08/10</td>
-                        <td id="T_b3bcd_row29_col2" class="data row29 col2" >$ 1449142.92</td>
-                        <td id="T_b3bcd_row29_col3" class="data row29 col3" >False</td>
-                        <td id="T_b3bcd_row29_col4" class="data row29 col4" >85.22º</td>
+                        <th id="T_ee0f7_level0_row29" class="row_heading level0 row29" >29</th>
+                        <td id="T_ee0f7_row29_col0" class="data row29 col0" >1</td>
+                        <td id="T_ee0f7_row29_col1" class="data row29 col1" >27/08/10</td>
+                        <td id="T_ee0f7_row29_col2" class="data row29 col2" >$ 1449142.92</td>
+                        <td id="T_ee0f7_row29_col3" class="data row29 col3" >False</td>
+                        <td id="T_ee0f7_row29_col4" class="data row29 col4" >85.22º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row30" class="row_heading level0 row30" >30</th>
-                        <td id="T_b3bcd_row30_col0" class="data row30 col0" >1</td>
-                        <td id="T_b3bcd_row30_col1" class="data row30 col1" >09/03/10</td>
-                        <td id="T_b3bcd_row30_col2" class="data row30 col2" >$ 1540163.53</td>
-                        <td id="T_b3bcd_row30_col3" class="data row30 col3" >False</td>
-                        <td id="T_b3bcd_row30_col4" class="data row30 col4" >81.21º</td>
+                        <th id="T_ee0f7_level0_row30" class="row_heading level0 row30" >30</th>
+                        <td id="T_ee0f7_row30_col0" class="data row30 col0" >1</td>
+                        <td id="T_ee0f7_row30_col1" class="data row30 col1" >09/03/10</td>
+                        <td id="T_ee0f7_row30_col2" class="data row30 col2" >$ 1540163.53</td>
+                        <td id="T_ee0f7_row30_col3" class="data row30 col3" >False</td>
+                        <td id="T_ee0f7_row30_col4" class="data row30 col4" >81.21º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row31" class="row_heading level0 row31" >31</th>
-                        <td id="T_b3bcd_row31_col0" class="data row31 col0" >1</td>
-                        <td id="T_b3bcd_row31_col1" class="data row31 col1" >09/10/10</td>
-                        <td id="T_b3bcd_row31_col2" class="data row31 col2" >$ 1507460.69</td>
-                        <td id="T_b3bcd_row31_col3" class="data row31 col3" >True</td>
-                        <td id="T_b3bcd_row31_col4" class="data row31 col4" >78.69º</td>
+                        <th id="T_ee0f7_level0_row31" class="row_heading level0 row31" >31</th>
+                        <td id="T_ee0f7_row31_col0" class="data row31 col0" >1</td>
+                        <td id="T_ee0f7_row31_col1" class="data row31 col1" >09/10/10</td>
+                        <td id="T_ee0f7_row31_col2" class="data row31 col2" >$ 1507460.69</td>
+                        <td id="T_ee0f7_row31_col3" class="data row31 col3" >True</td>
+                        <td id="T_ee0f7_row31_col4" class="data row31 col4" >78.69º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row32" class="row_heading level0 row32" >32</th>
-                        <td id="T_b3bcd_row32_col0" class="data row32 col0" >1</td>
-                        <td id="T_b3bcd_row32_col1" class="data row32 col1" >17/09/10</td>
-                        <td id="T_b3bcd_row32_col2" class="data row32 col2" >$ 1430378.67</td>
-                        <td id="T_b3bcd_row32_col3" class="data row32 col3" >False</td>
-                        <td id="T_b3bcd_row32_col4" class="data row32 col4" >82.11º</td>
+                        <th id="T_ee0f7_level0_row32" class="row_heading level0 row32" >32</th>
+                        <td id="T_ee0f7_row32_col0" class="data row32 col0" >1</td>
+                        <td id="T_ee0f7_row32_col1" class="data row32 col1" >17/09/10</td>
+                        <td id="T_ee0f7_row32_col2" class="data row32 col2" >$ 1430378.67</td>
+                        <td id="T_ee0f7_row32_col3" class="data row32 col3" >False</td>
+                        <td id="T_ee0f7_row32_col4" class="data row32 col4" >82.11º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row33" class="row_heading level0 row33" >33</th>
-                        <td id="T_b3bcd_row33_col0" class="data row33 col0" >1</td>
-                        <td id="T_b3bcd_row33_col1" class="data row33 col1" >24/09/10</td>
-                        <td id="T_b3bcd_row33_col2" class="data row33 col2" >$ 1351791.03</td>
-                        <td id="T_b3bcd_row33_col3" class="data row33 col3" >False</td>
-                        <td id="T_b3bcd_row33_col4" class="data row33 col4" >80.94º</td>
+                        <th id="T_ee0f7_level0_row33" class="row_heading level0 row33" >33</th>
+                        <td id="T_ee0f7_row33_col0" class="data row33 col0" >1</td>
+                        <td id="T_ee0f7_row33_col1" class="data row33 col1" >24/09/10</td>
+                        <td id="T_ee0f7_row33_col2" class="data row33 col2" >$ 1351791.03</td>
+                        <td id="T_ee0f7_row33_col3" class="data row33 col3" >False</td>
+                        <td id="T_ee0f7_row33_col4" class="data row33 col4" >80.94º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row34" class="row_heading level0 row34" >34</th>
-                        <td id="T_b3bcd_row34_col0" class="data row34 col0" >1</td>
-                        <td id="T_b3bcd_row34_col1" class="data row34 col1" >10/01/10</td>
-                        <td id="T_b3bcd_row34_col2" class="data row34 col2" >$ 1453329.50</td>
-                        <td id="T_b3bcd_row34_col3" class="data row34 col3" >False</td>
-                        <td id="T_b3bcd_row34_col4" class="data row34 col4" >71.89º</td>
+                        <th id="T_ee0f7_level0_row34" class="row_heading level0 row34" >34</th>
+                        <td id="T_ee0f7_row34_col0" class="data row34 col0" >1</td>
+                        <td id="T_ee0f7_row34_col1" class="data row34 col1" >10/01/10</td>
+                        <td id="T_ee0f7_row34_col2" class="data row34 col2" >$ 1453329.50</td>
+                        <td id="T_ee0f7_row34_col3" class="data row34 col3" >False</td>
+                        <td id="T_ee0f7_row34_col4" class="data row34 col4" >71.89º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row35" class="row_heading level0 row35" >35</th>
-                        <td id="T_b3bcd_row35_col0" class="data row35 col0" >1</td>
-                        <td id="T_b3bcd_row35_col1" class="data row35 col1" >10/08/10</td>
-                        <td id="T_b3bcd_row35_col2" class="data row35 col2" >$ 1508239.93</td>
-                        <td id="T_b3bcd_row35_col3" class="data row35 col3" >False</td>
-                        <td id="T_b3bcd_row35_col4" class="data row35 col4" >63.93º</td>
+                        <th id="T_ee0f7_level0_row35" class="row_heading level0 row35" >35</th>
+                        <td id="T_ee0f7_row35_col0" class="data row35 col0" >1</td>
+                        <td id="T_ee0f7_row35_col1" class="data row35 col1" >10/08/10</td>
+                        <td id="T_ee0f7_row35_col2" class="data row35 col2" >$ 1508239.93</td>
+                        <td id="T_ee0f7_row35_col3" class="data row35 col3" >False</td>
+                        <td id="T_ee0f7_row35_col4" class="data row35 col4" >63.93º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row36" class="row_heading level0 row36" >36</th>
-                        <td id="T_b3bcd_row36_col0" class="data row36 col0" >1</td>
-                        <td id="T_b3bcd_row36_col1" class="data row36 col1" >15/10/10</td>
-                        <td id="T_b3bcd_row36_col2" class="data row36 col2" >$ 1459409.10</td>
-                        <td id="T_b3bcd_row36_col3" class="data row36 col3" >False</td>
-                        <td id="T_b3bcd_row36_col4" class="data row36 col4" >67.18º</td>
+                        <th id="T_ee0f7_level0_row36" class="row_heading level0 row36" >36</th>
+                        <td id="T_ee0f7_row36_col0" class="data row36 col0" >1</td>
+                        <td id="T_ee0f7_row36_col1" class="data row36 col1" >15/10/10</td>
+                        <td id="T_ee0f7_row36_col2" class="data row36 col2" >$ 1459409.10</td>
+                        <td id="T_ee0f7_row36_col3" class="data row36 col3" >False</td>
+                        <td id="T_ee0f7_row36_col4" class="data row36 col4" >67.18º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row37" class="row_heading level0 row37" >37</th>
-                        <td id="T_b3bcd_row37_col0" class="data row37 col0" >1</td>
-                        <td id="T_b3bcd_row37_col1" class="data row37 col1" >22/10/10</td>
-                        <td id="T_b3bcd_row37_col2" class="data row37 col2" >$ 1345454.00</td>
-                        <td id="T_b3bcd_row37_col3" class="data row37 col3" >False</td>
-                        <td id="T_b3bcd_row37_col4" class="data row37 col4" >69.86º</td>
+                        <th id="T_ee0f7_level0_row37" class="row_heading level0 row37" >37</th>
+                        <td id="T_ee0f7_row37_col0" class="data row37 col0" >1</td>
+                        <td id="T_ee0f7_row37_col1" class="data row37 col1" >22/10/10</td>
+                        <td id="T_ee0f7_row37_col2" class="data row37 col2" >$ 1345454.00</td>
+                        <td id="T_ee0f7_row37_col3" class="data row37 col3" >False</td>
+                        <td id="T_ee0f7_row37_col4" class="data row37 col4" >69.86º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row38" class="row_heading level0 row38" >38</th>
-                        <td id="T_b3bcd_row38_col0" class="data row38 col0" >1</td>
-                        <td id="T_b3bcd_row38_col1" class="data row38 col1" >29/10/10</td>
-                        <td id="T_b3bcd_row38_col2" class="data row38 col2" >$ 1384209.22</td>
-                        <td id="T_b3bcd_row38_col3" class="data row38 col3" >False</td>
-                        <td id="T_b3bcd_row38_col4" class="data row38 col4" >69.64º</td>
+                        <th id="T_ee0f7_level0_row38" class="row_heading level0 row38" >38</th>
+                        <td id="T_ee0f7_row38_col0" class="data row38 col0" >1</td>
+                        <td id="T_ee0f7_row38_col1" class="data row38 col1" >29/10/10</td>
+                        <td id="T_ee0f7_row38_col2" class="data row38 col2" >$ 1384209.22</td>
+                        <td id="T_ee0f7_row38_col3" class="data row38 col3" >False</td>
+                        <td id="T_ee0f7_row38_col4" class="data row38 col4" >69.64º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row39" class="row_heading level0 row39" >39</th>
-                        <td id="T_b3bcd_row39_col0" class="data row39 col0" >1</td>
-                        <td id="T_b3bcd_row39_col1" class="data row39 col1" >11/05/10</td>
-                        <td id="T_b3bcd_row39_col2" class="data row39 col2" >$ 1551659.28</td>
-                        <td id="T_b3bcd_row39_col3" class="data row39 col3" >False</td>
-                        <td id="T_b3bcd_row39_col4" class="data row39 col4" >58.74º</td>
+                        <th id="T_ee0f7_level0_row39" class="row_heading level0 row39" >39</th>
+                        <td id="T_ee0f7_row39_col0" class="data row39 col0" >1</td>
+                        <td id="T_ee0f7_row39_col1" class="data row39 col1" >11/05/10</td>
+                        <td id="T_ee0f7_row39_col2" class="data row39 col2" >$ 1551659.28</td>
+                        <td id="T_ee0f7_row39_col3" class="data row39 col3" >False</td>
+                        <td id="T_ee0f7_row39_col4" class="data row39 col4" >58.74º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row40" class="row_heading level0 row40" >40</th>
-                        <td id="T_b3bcd_row40_col0" class="data row40 col0" >1</td>
-                        <td id="T_b3bcd_row40_col1" class="data row40 col1" >11/12/10</td>
-                        <td id="T_b3bcd_row40_col2" class="data row40 col2" >$ 1494479.49</td>
-                        <td id="T_b3bcd_row40_col3" class="data row40 col3" >False</td>
-                        <td id="T_b3bcd_row40_col4" class="data row40 col4" >59.61º</td>
+                        <th id="T_ee0f7_level0_row40" class="row_heading level0 row40" >40</th>
+                        <td id="T_ee0f7_row40_col0" class="data row40 col0" >1</td>
+                        <td id="T_ee0f7_row40_col1" class="data row40 col1" >11/12/10</td>
+                        <td id="T_ee0f7_row40_col2" class="data row40 col2" >$ 1494479.49</td>
+                        <td id="T_ee0f7_row40_col3" class="data row40 col3" >False</td>
+                        <td id="T_ee0f7_row40_col4" class="data row40 col4" >59.61º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row41" class="row_heading level0 row41" >41</th>
-                        <td id="T_b3bcd_row41_col0" class="data row41 col0" >1</td>
-                        <td id="T_b3bcd_row41_col1" class="data row41 col1" >19/11/10</td>
-                        <td id="T_b3bcd_row41_col2" class="data row41 col2" >$ 1483784.18</td>
-                        <td id="T_b3bcd_row41_col3" class="data row41 col3" >False</td>
-                        <td id="T_b3bcd_row41_col4" class="data row41 col4" >51.41º</td>
+                        <th id="T_ee0f7_level0_row41" class="row_heading level0 row41" >41</th>
+                        <td id="T_ee0f7_row41_col0" class="data row41 col0" >1</td>
+                        <td id="T_ee0f7_row41_col1" class="data row41 col1" >19/11/10</td>
+                        <td id="T_ee0f7_row41_col2" class="data row41 col2" >$ 1483784.18</td>
+                        <td id="T_ee0f7_row41_col3" class="data row41 col3" >False</td>
+                        <td id="T_ee0f7_row41_col4" class="data row41 col4" >51.41º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row42" class="row_heading level0 row42" >42</th>
-                        <td id="T_b3bcd_row42_col0" class="data row42 col0" >1</td>
-                        <td id="T_b3bcd_row42_col1" class="data row42 col1" >26/11/10</td>
-                        <td id="T_b3bcd_row42_col2" class="data row42 col2" >$ 1955624.11</td>
-                        <td id="T_b3bcd_row42_col3" class="data row42 col3" >True</td>
-                        <td id="T_b3bcd_row42_col4" class="data row42 col4" >64.52º</td>
+                        <th id="T_ee0f7_level0_row42" class="row_heading level0 row42" >42</th>
+                        <td id="T_ee0f7_row42_col0" class="data row42 col0" >1</td>
+                        <td id="T_ee0f7_row42_col1" class="data row42 col1" >26/11/10</td>
+                        <td id="T_ee0f7_row42_col2" class="data row42 col2" >$ 1955624.11</td>
+                        <td id="T_ee0f7_row42_col3" class="data row42 col3" >True</td>
+                        <td id="T_ee0f7_row42_col4" class="data row42 col4" >64.52º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row43" class="row_heading level0 row43" >43</th>
-                        <td id="T_b3bcd_row43_col0" class="data row43 col0" >1</td>
-                        <td id="T_b3bcd_row43_col1" class="data row43 col1" >12/03/10</td>
-                        <td id="T_b3bcd_row43_col2" class="data row43 col2" >$ 1548033.78</td>
-                        <td id="T_b3bcd_row43_col3" class="data row43 col3" >False</td>
-                        <td id="T_b3bcd_row43_col4" class="data row43 col4" >49.27º</td>
+                        <th id="T_ee0f7_level0_row43" class="row_heading level0 row43" >43</th>
+                        <td id="T_ee0f7_row43_col0" class="data row43 col0" >1</td>
+                        <td id="T_ee0f7_row43_col1" class="data row43 col1" >12/03/10</td>
+                        <td id="T_ee0f7_row43_col2" class="data row43 col2" >$ 1548033.78</td>
+                        <td id="T_ee0f7_row43_col3" class="data row43 col3" >False</td>
+                        <td id="T_ee0f7_row43_col4" class="data row43 col4" >49.27º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row44" class="row_heading level0 row44" >44</th>
-                        <td id="T_b3bcd_row44_col0" class="data row44 col0" >1</td>
-                        <td id="T_b3bcd_row44_col1" class="data row44 col1" >12/10/10</td>
-                        <td id="T_b3bcd_row44_col2" class="data row44 col2" >$ 1682614.26</td>
-                        <td id="T_b3bcd_row44_col3" class="data row44 col3" >False</td>
-                        <td id="T_b3bcd_row44_col4" class="data row44 col4" >46.33º</td>
+                        <th id="T_ee0f7_level0_row44" class="row_heading level0 row44" >44</th>
+                        <td id="T_ee0f7_row44_col0" class="data row44 col0" >1</td>
+                        <td id="T_ee0f7_row44_col1" class="data row44 col1" >12/10/10</td>
+                        <td id="T_ee0f7_row44_col2" class="data row44 col2" >$ 1682614.26</td>
+                        <td id="T_ee0f7_row44_col3" class="data row44 col3" >False</td>
+                        <td id="T_ee0f7_row44_col4" class="data row44 col4" >46.33º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row45" class="row_heading level0 row45" >45</th>
-                        <td id="T_b3bcd_row45_col0" class="data row45 col0" >1</td>
-                        <td id="T_b3bcd_row45_col1" class="data row45 col1" >17/12/10</td>
-                        <td id="T_b3bcd_row45_col2" class="data row45 col2" >$ 1891034.93</td>
-                        <td id="T_b3bcd_row45_col3" class="data row45 col3" >False</td>
-                        <td id="T_b3bcd_row45_col4" class="data row45 col4" >49.84º</td>
+                        <th id="T_ee0f7_level0_row45" class="row_heading level0 row45" >45</th>
+                        <td id="T_ee0f7_row45_col0" class="data row45 col0" >1</td>
+                        <td id="T_ee0f7_row45_col1" class="data row45 col1" >17/12/10</td>
+                        <td id="T_ee0f7_row45_col2" class="data row45 col2" >$ 1891034.93</td>
+                        <td id="T_ee0f7_row45_col3" class="data row45 col3" >False</td>
+                        <td id="T_ee0f7_row45_col4" class="data row45 col4" >49.84º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row46" class="row_heading level0 row46" >46</th>
-                        <td id="T_b3bcd_row46_col0" class="data row46 col0" >1</td>
-                        <td id="T_b3bcd_row46_col1" class="data row46 col1" >24/12/10</td>
-                        <td id="T_b3bcd_row46_col2" class="data row46 col2" >$ 2387950.20</td>
-                        <td id="T_b3bcd_row46_col3" class="data row46 col3" >False</td>
-                        <td id="T_b3bcd_row46_col4" class="data row46 col4" >52.33º</td>
+                        <th id="T_ee0f7_level0_row46" class="row_heading level0 row46" >46</th>
+                        <td id="T_ee0f7_row46_col0" class="data row46 col0" >1</td>
+                        <td id="T_ee0f7_row46_col1" class="data row46 col1" >24/12/10</td>
+                        <td id="T_ee0f7_row46_col2" class="data row46 col2" >$ 2387950.20</td>
+                        <td id="T_ee0f7_row46_col3" class="data row46 col3" >False</td>
+                        <td id="T_ee0f7_row46_col4" class="data row46 col4" >52.33º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row47" class="row_heading level0 row47" >47</th>
-                        <td id="T_b3bcd_row47_col0" class="data row47 col0" >1</td>
-                        <td id="T_b3bcd_row47_col1" class="data row47 col1" >31/12/10</td>
-                        <td id="T_b3bcd_row47_col2" class="data row47 col2" >$ 1367320.01</td>
-                        <td id="T_b3bcd_row47_col3" class="data row47 col3" >True</td>
-                        <td id="T_b3bcd_row47_col4" class="data row47 col4" >48.43º</td>
+                        <th id="T_ee0f7_level0_row47" class="row_heading level0 row47" >47</th>
+                        <td id="T_ee0f7_row47_col0" class="data row47 col0" >1</td>
+                        <td id="T_ee0f7_row47_col1" class="data row47 col1" >31/12/10</td>
+                        <td id="T_ee0f7_row47_col2" class="data row47 col2" >$ 1367320.01</td>
+                        <td id="T_ee0f7_row47_col3" class="data row47 col3" >True</td>
+                        <td id="T_ee0f7_row47_col4" class="data row47 col4" >48.43º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row48" class="row_heading level0 row48" >48</th>
-                        <td id="T_b3bcd_row48_col0" class="data row48 col0" >1</td>
-                        <td id="T_b3bcd_row48_col1" class="data row48 col1" >01/07/11</td>
-                        <td id="T_b3bcd_row48_col2" class="data row48 col2" >$ 1444732.28</td>
-                        <td id="T_b3bcd_row48_col3" class="data row48 col3" >False</td>
-                        <td id="T_b3bcd_row48_col4" class="data row48 col4" >48.27º</td>
+                        <th id="T_ee0f7_level0_row48" class="row_heading level0 row48" >48</th>
+                        <td id="T_ee0f7_row48_col0" class="data row48 col0" >1</td>
+                        <td id="T_ee0f7_row48_col1" class="data row48 col1" >01/07/11</td>
+                        <td id="T_ee0f7_row48_col2" class="data row48 col2" >$ 1444732.28</td>
+                        <td id="T_ee0f7_row48_col3" class="data row48 col3" >False</td>
+                        <td id="T_ee0f7_row48_col4" class="data row48 col4" >48.27º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row49" class="row_heading level0 row49" >49</th>
-                        <td id="T_b3bcd_row49_col0" class="data row49 col0" >1</td>
-                        <td id="T_b3bcd_row49_col1" class="data row49 col1" >14/01/11</td>
-                        <td id="T_b3bcd_row49_col2" class="data row49 col2" >$ 1391013.96</td>
-                        <td id="T_b3bcd_row49_col3" class="data row49 col3" >False</td>
-                        <td id="T_b3bcd_row49_col4" class="data row49 col4" >35.40º</td>
+                        <th id="T_ee0f7_level0_row49" class="row_heading level0 row49" >49</th>
+                        <td id="T_ee0f7_row49_col0" class="data row49 col0" >1</td>
+                        <td id="T_ee0f7_row49_col1" class="data row49 col1" >14/01/11</td>
+                        <td id="T_ee0f7_row49_col2" class="data row49 col2" >$ 1391013.96</td>
+                        <td id="T_ee0f7_row49_col3" class="data row49 col3" >False</td>
+                        <td id="T_ee0f7_row49_col4" class="data row49 col4" >35.40º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row50" class="row_heading level0 row50" >50</th>
-                        <td id="T_b3bcd_row50_col0" class="data row50 col0" >1</td>
-                        <td id="T_b3bcd_row50_col1" class="data row50 col1" >21/01/11</td>
-                        <td id="T_b3bcd_row50_col2" class="data row50 col2" >$ 1327405.42</td>
-                        <td id="T_b3bcd_row50_col3" class="data row50 col3" >False</td>
-                        <td id="T_b3bcd_row50_col4" class="data row50 col4" >44.04º</td>
+                        <th id="T_ee0f7_level0_row50" class="row_heading level0 row50" >50</th>
+                        <td id="T_ee0f7_row50_col0" class="data row50 col0" >1</td>
+                        <td id="T_ee0f7_row50_col1" class="data row50 col1" >21/01/11</td>
+                        <td id="T_ee0f7_row50_col2" class="data row50 col2" >$ 1327405.42</td>
+                        <td id="T_ee0f7_row50_col3" class="data row50 col3" >False</td>
+                        <td id="T_ee0f7_row50_col4" class="data row50 col4" >44.04º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row51" class="row_heading level0 row51" >51</th>
-                        <td id="T_b3bcd_row51_col0" class="data row51 col0" >1</td>
-                        <td id="T_b3bcd_row51_col1" class="data row51 col1" >28/01/11</td>
-                        <td id="T_b3bcd_row51_col2" class="data row51 col2" >$ 1316899.31</td>
-                        <td id="T_b3bcd_row51_col3" class="data row51 col3" >False</td>
-                        <td id="T_b3bcd_row51_col4" class="data row51 col4" >43.83º</td>
+                        <th id="T_ee0f7_level0_row51" class="row_heading level0 row51" >51</th>
+                        <td id="T_ee0f7_row51_col0" class="data row51 col0" >1</td>
+                        <td id="T_ee0f7_row51_col1" class="data row51 col1" >28/01/11</td>
+                        <td id="T_ee0f7_row51_col2" class="data row51 col2" >$ 1316899.31</td>
+                        <td id="T_ee0f7_row51_col3" class="data row51 col3" >False</td>
+                        <td id="T_ee0f7_row51_col4" class="data row51 col4" >43.83º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row52" class="row_heading level0 row52" >52</th>
-                        <td id="T_b3bcd_row52_col0" class="data row52 col0" >1</td>
-                        <td id="T_b3bcd_row52_col1" class="data row52 col1" >02/04/11</td>
-                        <td id="T_b3bcd_row52_col2" class="data row52 col2" >$ 1606629.58</td>
-                        <td id="T_b3bcd_row52_col3" class="data row52 col3" >False</td>
-                        <td id="T_b3bcd_row52_col4" class="data row52 col4" >42.27º</td>
+                        <th id="T_ee0f7_level0_row52" class="row_heading level0 row52" >52</th>
+                        <td id="T_ee0f7_row52_col0" class="data row52 col0" >1</td>
+                        <td id="T_ee0f7_row52_col1" class="data row52 col1" >02/04/11</td>
+                        <td id="T_ee0f7_row52_col2" class="data row52 col2" >$ 1606629.58</td>
+                        <td id="T_ee0f7_row52_col3" class="data row52 col3" >False</td>
+                        <td id="T_ee0f7_row52_col4" class="data row52 col4" >42.27º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row53" class="row_heading level0 row53" >53</th>
-                        <td id="T_b3bcd_row53_col0" class="data row53 col0" >1</td>
-                        <td id="T_b3bcd_row53_col1" class="data row53 col1" >02/11/11</td>
-                        <td id="T_b3bcd_row53_col2" class="data row53 col2" >$ 1649614.93</td>
-                        <td id="T_b3bcd_row53_col3" class="data row53 col3" >True</td>
-                        <td id="T_b3bcd_row53_col4" class="data row53 col4" >36.39º</td>
+                        <th id="T_ee0f7_level0_row53" class="row_heading level0 row53" >53</th>
+                        <td id="T_ee0f7_row53_col0" class="data row53 col0" >1</td>
+                        <td id="T_ee0f7_row53_col1" class="data row53 col1" >02/11/11</td>
+                        <td id="T_ee0f7_row53_col2" class="data row53 col2" >$ 1649614.93</td>
+                        <td id="T_ee0f7_row53_col3" class="data row53 col3" >True</td>
+                        <td id="T_ee0f7_row53_col4" class="data row53 col4" >36.39º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row54" class="row_heading level0 row54" >54</th>
-                        <td id="T_b3bcd_row54_col0" class="data row54 col0" >1</td>
-                        <td id="T_b3bcd_row54_col1" class="data row54 col1" >18/02/11</td>
-                        <td id="T_b3bcd_row54_col2" class="data row54 col2" >$ 1686842.78</td>
-                        <td id="T_b3bcd_row54_col3" class="data row54 col3" >False</td>
-                        <td id="T_b3bcd_row54_col4" class="data row54 col4" >57.36º</td>
+                        <th id="T_ee0f7_level0_row54" class="row_heading level0 row54" >54</th>
+                        <td id="T_ee0f7_row54_col0" class="data row54 col0" >1</td>
+                        <td id="T_ee0f7_row54_col1" class="data row54 col1" >18/02/11</td>
+                        <td id="T_ee0f7_row54_col2" class="data row54 col2" >$ 1686842.78</td>
+                        <td id="T_ee0f7_row54_col3" class="data row54 col3" >False</td>
+                        <td id="T_ee0f7_row54_col4" class="data row54 col4" >57.36º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row55" class="row_heading level0 row55" >55</th>
-                        <td id="T_b3bcd_row55_col0" class="data row55 col0" >1</td>
-                        <td id="T_b3bcd_row55_col1" class="data row55 col1" >25/02/11</td>
-                        <td id="T_b3bcd_row55_col2" class="data row55 col2" >$ 1456800.28</td>
-                        <td id="T_b3bcd_row55_col3" class="data row55 col3" >False</td>
-                        <td id="T_b3bcd_row55_col4" class="data row55 col4" >62.90º</td>
+                        <th id="T_ee0f7_level0_row55" class="row_heading level0 row55" >55</th>
+                        <td id="T_ee0f7_row55_col0" class="data row55 col0" >1</td>
+                        <td id="T_ee0f7_row55_col1" class="data row55 col1" >25/02/11</td>
+                        <td id="T_ee0f7_row55_col2" class="data row55 col2" >$ 1456800.28</td>
+                        <td id="T_ee0f7_row55_col3" class="data row55 col3" >False</td>
+                        <td id="T_ee0f7_row55_col4" class="data row55 col4" >62.90º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row56" class="row_heading level0 row56" >56</th>
-                        <td id="T_b3bcd_row56_col0" class="data row56 col0" >1</td>
-                        <td id="T_b3bcd_row56_col1" class="data row56 col1" >03/04/11</td>
-                        <td id="T_b3bcd_row56_col2" class="data row56 col2" >$ 1636263.41</td>
-                        <td id="T_b3bcd_row56_col3" class="data row56 col3" >False</td>
-                        <td id="T_b3bcd_row56_col4" class="data row56 col4" >59.58º</td>
+                        <th id="T_ee0f7_level0_row56" class="row_heading level0 row56" >56</th>
+                        <td id="T_ee0f7_row56_col0" class="data row56 col0" >1</td>
+                        <td id="T_ee0f7_row56_col1" class="data row56 col1" >03/04/11</td>
+                        <td id="T_ee0f7_row56_col2" class="data row56 col2" >$ 1636263.41</td>
+                        <td id="T_ee0f7_row56_col3" class="data row56 col3" >False</td>
+                        <td id="T_ee0f7_row56_col4" class="data row56 col4" >59.58º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row57" class="row_heading level0 row57" >57</th>
-                        <td id="T_b3bcd_row57_col0" class="data row57 col0" >1</td>
-                        <td id="T_b3bcd_row57_col1" class="data row57 col1" >03/11/11</td>
-                        <td id="T_b3bcd_row57_col2" class="data row57 col2" >$ 1553191.63</td>
-                        <td id="T_b3bcd_row57_col3" class="data row57 col3" >False</td>
-                        <td id="T_b3bcd_row57_col4" class="data row57 col4" >53.56º</td>
+                        <th id="T_ee0f7_level0_row57" class="row_heading level0 row57" >57</th>
+                        <td id="T_ee0f7_row57_col0" class="data row57 col0" >1</td>
+                        <td id="T_ee0f7_row57_col1" class="data row57 col1" >03/11/11</td>
+                        <td id="T_ee0f7_row57_col2" class="data row57 col2" >$ 1553191.63</td>
+                        <td id="T_ee0f7_row57_col3" class="data row57 col3" >False</td>
+                        <td id="T_ee0f7_row57_col4" class="data row57 col4" >53.56º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row58" class="row_heading level0 row58" >58</th>
-                        <td id="T_b3bcd_row58_col0" class="data row58 col0" >1</td>
-                        <td id="T_b3bcd_row58_col1" class="data row58 col1" >18/03/11</td>
-                        <td id="T_b3bcd_row58_col2" class="data row58 col2" >$ 1576818.06</td>
-                        <td id="T_b3bcd_row58_col3" class="data row58 col3" >False</td>
-                        <td id="T_b3bcd_row58_col4" class="data row58 col4" >62.76º</td>
+                        <th id="T_ee0f7_level0_row58" class="row_heading level0 row58" >58</th>
+                        <td id="T_ee0f7_row58_col0" class="data row58 col0" >1</td>
+                        <td id="T_ee0f7_row58_col1" class="data row58 col1" >18/03/11</td>
+                        <td id="T_ee0f7_row58_col2" class="data row58 col2" >$ 1576818.06</td>
+                        <td id="T_ee0f7_row58_col3" class="data row58 col3" >False</td>
+                        <td id="T_ee0f7_row58_col4" class="data row58 col4" >62.76º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row59" class="row_heading level0 row59" >59</th>
-                        <td id="T_b3bcd_row59_col0" class="data row59 col0" >1</td>
-                        <td id="T_b3bcd_row59_col1" class="data row59 col1" >25/03/11</td>
-                        <td id="T_b3bcd_row59_col2" class="data row59 col2" >$ 1541102.38</td>
-                        <td id="T_b3bcd_row59_col3" class="data row59 col3" >False</td>
-                        <td id="T_b3bcd_row59_col4" class="data row59 col4" >69.97º</td>
+                        <th id="T_ee0f7_level0_row59" class="row_heading level0 row59" >59</th>
+                        <td id="T_ee0f7_row59_col0" class="data row59 col0" >1</td>
+                        <td id="T_ee0f7_row59_col1" class="data row59 col1" >25/03/11</td>
+                        <td id="T_ee0f7_row59_col2" class="data row59 col2" >$ 1541102.38</td>
+                        <td id="T_ee0f7_row59_col3" class="data row59 col3" >False</td>
+                        <td id="T_ee0f7_row59_col4" class="data row59 col4" >69.97º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row60" class="row_heading level0 row60" >60</th>
-                        <td id="T_b3bcd_row60_col0" class="data row60 col0" >1</td>
-                        <td id="T_b3bcd_row60_col1" class="data row60 col1" >04/01/11</td>
-                        <td id="T_b3bcd_row60_col2" class="data row60 col2" >$ 1495064.75</td>
-                        <td id="T_b3bcd_row60_col3" class="data row60 col3" >False</td>
-                        <td id="T_b3bcd_row60_col4" class="data row60 col4" >59.17º</td>
+                        <th id="T_ee0f7_level0_row60" class="row_heading level0 row60" >60</th>
+                        <td id="T_ee0f7_row60_col0" class="data row60 col0" >1</td>
+                        <td id="T_ee0f7_row60_col1" class="data row60 col1" >04/01/11</td>
+                        <td id="T_ee0f7_row60_col2" class="data row60 col2" >$ 1495064.75</td>
+                        <td id="T_ee0f7_row60_col3" class="data row60 col3" >False</td>
+                        <td id="T_ee0f7_row60_col4" class="data row60 col4" >59.17º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row61" class="row_heading level0 row61" >61</th>
-                        <td id="T_b3bcd_row61_col0" class="data row61 col0" >1</td>
-                        <td id="T_b3bcd_row61_col1" class="data row61 col1" >04/08/11</td>
-                        <td id="T_b3bcd_row61_col2" class="data row61 col2" >$ 1614259.35</td>
-                        <td id="T_b3bcd_row61_col3" class="data row61 col3" >False</td>
-                        <td id="T_b3bcd_row61_col4" class="data row61 col4" >67.84º</td>
+                        <th id="T_ee0f7_level0_row61" class="row_heading level0 row61" >61</th>
+                        <td id="T_ee0f7_row61_col0" class="data row61 col0" >1</td>
+                        <td id="T_ee0f7_row61_col1" class="data row61 col1" >04/08/11</td>
+                        <td id="T_ee0f7_row61_col2" class="data row61 col2" >$ 1614259.35</td>
+                        <td id="T_ee0f7_row61_col3" class="data row61 col3" >False</td>
+                        <td id="T_ee0f7_row61_col4" class="data row61 col4" >67.84º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row62" class="row_heading level0 row62" >62</th>
-                        <td id="T_b3bcd_row62_col0" class="data row62 col0" >1</td>
-                        <td id="T_b3bcd_row62_col1" class="data row62 col1" >15/04/11</td>
-                        <td id="T_b3bcd_row62_col2" class="data row62 col2" >$ 1559889.00</td>
-                        <td id="T_b3bcd_row62_col3" class="data row62 col3" >False</td>
-                        <td id="T_b3bcd_row62_col4" class="data row62 col4" >71.27º</td>
+                        <th id="T_ee0f7_level0_row62" class="row_heading level0 row62" >62</th>
+                        <td id="T_ee0f7_row62_col0" class="data row62 col0" >1</td>
+                        <td id="T_ee0f7_row62_col1" class="data row62 col1" >15/04/11</td>
+                        <td id="T_ee0f7_row62_col2" class="data row62 col2" >$ 1559889.00</td>
+                        <td id="T_ee0f7_row62_col3" class="data row62 col3" >False</td>
+                        <td id="T_ee0f7_row62_col4" class="data row62 col4" >71.27º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row63" class="row_heading level0 row63" >63</th>
-                        <td id="T_b3bcd_row63_col0" class="data row63 col0" >1</td>
-                        <td id="T_b3bcd_row63_col1" class="data row63 col1" >22/04/11</td>
-                        <td id="T_b3bcd_row63_col2" class="data row63 col2" >$ 1564819.81</td>
-                        <td id="T_b3bcd_row63_col3" class="data row63 col3" >False</td>
-                        <td id="T_b3bcd_row63_col4" class="data row63 col4" >72.99º</td>
+                        <th id="T_ee0f7_level0_row63" class="row_heading level0 row63" >63</th>
+                        <td id="T_ee0f7_row63_col0" class="data row63 col0" >1</td>
+                        <td id="T_ee0f7_row63_col1" class="data row63 col1" >22/04/11</td>
+                        <td id="T_ee0f7_row63_col2" class="data row63 col2" >$ 1564819.81</td>
+                        <td id="T_ee0f7_row63_col3" class="data row63 col3" >False</td>
+                        <td id="T_ee0f7_row63_col4" class="data row63 col4" >72.99º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row64" class="row_heading level0 row64" >64</th>
-                        <td id="T_b3bcd_row64_col0" class="data row64 col0" >1</td>
-                        <td id="T_b3bcd_row64_col1" class="data row64 col1" >29/04/11</td>
-                        <td id="T_b3bcd_row64_col2" class="data row64 col2" >$ 1455090.69</td>
-                        <td id="T_b3bcd_row64_col3" class="data row64 col3" >False</td>
-                        <td id="T_b3bcd_row64_col4" class="data row64 col4" >72.03º</td>
+                        <th id="T_ee0f7_level0_row64" class="row_heading level0 row64" >64</th>
+                        <td id="T_ee0f7_row64_col0" class="data row64 col0" >1</td>
+                        <td id="T_ee0f7_row64_col1" class="data row64 col1" >29/04/11</td>
+                        <td id="T_ee0f7_row64_col2" class="data row64 col2" >$ 1455090.69</td>
+                        <td id="T_ee0f7_row64_col3" class="data row64 col3" >False</td>
+                        <td id="T_ee0f7_row64_col4" class="data row64 col4" >72.03º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row65" class="row_heading level0 row65" >65</th>
-                        <td id="T_b3bcd_row65_col0" class="data row65 col0" >1</td>
-                        <td id="T_b3bcd_row65_col1" class="data row65 col1" >05/06/11</td>
-                        <td id="T_b3bcd_row65_col2" class="data row65 col2" >$ 1629391.28</td>
-                        <td id="T_b3bcd_row65_col3" class="data row65 col3" >False</td>
-                        <td id="T_b3bcd_row65_col4" class="data row65 col4" >64.61º</td>
+                        <th id="T_ee0f7_level0_row65" class="row_heading level0 row65" >65</th>
+                        <td id="T_ee0f7_row65_col0" class="data row65 col0" >1</td>
+                        <td id="T_ee0f7_row65_col1" class="data row65 col1" >05/06/11</td>
+                        <td id="T_ee0f7_row65_col2" class="data row65 col2" >$ 1629391.28</td>
+                        <td id="T_ee0f7_row65_col3" class="data row65 col3" >False</td>
+                        <td id="T_ee0f7_row65_col4" class="data row65 col4" >64.61º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row66" class="row_heading level0 row66" >66</th>
-                        <td id="T_b3bcd_row66_col0" class="data row66 col0" >1</td>
-                        <td id="T_b3bcd_row66_col1" class="data row66 col1" >13/05/11</td>
-                        <td id="T_b3bcd_row66_col2" class="data row66 col2" >$ 1604775.58</td>
-                        <td id="T_b3bcd_row66_col3" class="data row66 col3" >False</td>
-                        <td id="T_b3bcd_row66_col4" class="data row66 col4" >75.64º</td>
+                        <th id="T_ee0f7_level0_row66" class="row_heading level0 row66" >66</th>
+                        <td id="T_ee0f7_row66_col0" class="data row66 col0" >1</td>
+                        <td id="T_ee0f7_row66_col1" class="data row66 col1" >13/05/11</td>
+                        <td id="T_ee0f7_row66_col2" class="data row66 col2" >$ 1604775.58</td>
+                        <td id="T_ee0f7_row66_col3" class="data row66 col3" >False</td>
+                        <td id="T_ee0f7_row66_col4" class="data row66 col4" >75.64º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row67" class="row_heading level0 row67" >67</th>
-                        <td id="T_b3bcd_row67_col0" class="data row67 col0" >1</td>
-                        <td id="T_b3bcd_row67_col1" class="data row67 col1" >20/05/11</td>
-                        <td id="T_b3bcd_row67_col2" class="data row67 col2" >$ 1428218.27</td>
-                        <td id="T_b3bcd_row67_col3" class="data row67 col3" >False</td>
-                        <td id="T_b3bcd_row67_col4" class="data row67 col4" >67.63º</td>
+                        <th id="T_ee0f7_level0_row67" class="row_heading level0 row67" >67</th>
+                        <td id="T_ee0f7_row67_col0" class="data row67 col0" >1</td>
+                        <td id="T_ee0f7_row67_col1" class="data row67 col1" >20/05/11</td>
+                        <td id="T_ee0f7_row67_col2" class="data row67 col2" >$ 1428218.27</td>
+                        <td id="T_ee0f7_row67_col3" class="data row67 col3" >False</td>
+                        <td id="T_ee0f7_row67_col4" class="data row67 col4" >67.63º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row68" class="row_heading level0 row68" >68</th>
-                        <td id="T_b3bcd_row68_col0" class="data row68 col0" >1</td>
-                        <td id="T_b3bcd_row68_col1" class="data row68 col1" >27/05/11</td>
-                        <td id="T_b3bcd_row68_col2" class="data row68 col2" >$ 1466046.67</td>
-                        <td id="T_b3bcd_row68_col3" class="data row68 col3" >False</td>
-                        <td id="T_b3bcd_row68_col4" class="data row68 col4" >77.72º</td>
+                        <th id="T_ee0f7_level0_row68" class="row_heading level0 row68" >68</th>
+                        <td id="T_ee0f7_row68_col0" class="data row68 col0" >1</td>
+                        <td id="T_ee0f7_row68_col1" class="data row68 col1" >27/05/11</td>
+                        <td id="T_ee0f7_row68_col2" class="data row68 col2" >$ 1466046.67</td>
+                        <td id="T_ee0f7_row68_col3" class="data row68 col3" >False</td>
+                        <td id="T_ee0f7_row68_col4" class="data row68 col4" >77.72º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row69" class="row_heading level0 row69" >69</th>
-                        <td id="T_b3bcd_row69_col0" class="data row69 col0" >1</td>
-                        <td id="T_b3bcd_row69_col1" class="data row69 col1" >06/03/11</td>
-                        <td id="T_b3bcd_row69_col2" class="data row69 col2" >$ 1635078.41</td>
-                        <td id="T_b3bcd_row69_col3" class="data row69 col3" >False</td>
-                        <td id="T_b3bcd_row69_col4" class="data row69 col4" >83.00º</td>
+                        <th id="T_ee0f7_level0_row69" class="row_heading level0 row69" >69</th>
+                        <td id="T_ee0f7_row69_col0" class="data row69 col0" >1</td>
+                        <td id="T_ee0f7_row69_col1" class="data row69 col1" >06/03/11</td>
+                        <td id="T_ee0f7_row69_col2" class="data row69 col2" >$ 1635078.41</td>
+                        <td id="T_ee0f7_row69_col3" class="data row69 col3" >False</td>
+                        <td id="T_ee0f7_row69_col4" class="data row69 col4" >83.00º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row70" class="row_heading level0 row70" >70</th>
-                        <td id="T_b3bcd_row70_col0" class="data row70 col0" >1</td>
-                        <td id="T_b3bcd_row70_col1" class="data row70 col1" >06/10/11</td>
-                        <td id="T_b3bcd_row70_col2" class="data row70 col2" >$ 1588948.32</td>
-                        <td id="T_b3bcd_row70_col3" class="data row70 col3" >False</td>
-                        <td id="T_b3bcd_row70_col4" class="data row70 col4" >83.13º</td>
+                        <th id="T_ee0f7_level0_row70" class="row_heading level0 row70" >70</th>
+                        <td id="T_ee0f7_row70_col0" class="data row70 col0" >1</td>
+                        <td id="T_ee0f7_row70_col1" class="data row70 col1" >06/10/11</td>
+                        <td id="T_ee0f7_row70_col2" class="data row70 col2" >$ 1588948.32</td>
+                        <td id="T_ee0f7_row70_col3" class="data row70 col3" >False</td>
+                        <td id="T_ee0f7_row70_col4" class="data row70 col4" >83.13º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row71" class="row_heading level0 row71" >71</th>
-                        <td id="T_b3bcd_row71_col0" class="data row71 col0" >1</td>
-                        <td id="T_b3bcd_row71_col1" class="data row71 col1" >17/06/11</td>
-                        <td id="T_b3bcd_row71_col2" class="data row71 col2" >$ 1532114.86</td>
-                        <td id="T_b3bcd_row71_col3" class="data row71 col3" >False</td>
-                        <td id="T_b3bcd_row71_col4" class="data row71 col4" >86.41º</td>
+                        <th id="T_ee0f7_level0_row71" class="row_heading level0 row71" >71</th>
+                        <td id="T_ee0f7_row71_col0" class="data row71 col0" >1</td>
+                        <td id="T_ee0f7_row71_col1" class="data row71 col1" >17/06/11</td>
+                        <td id="T_ee0f7_row71_col2" class="data row71 col2" >$ 1532114.86</td>
+                        <td id="T_ee0f7_row71_col3" class="data row71 col3" >False</td>
+                        <td id="T_ee0f7_row71_col4" class="data row71 col4" >86.41º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row72" class="row_heading level0 row72" >72</th>
-                        <td id="T_b3bcd_row72_col0" class="data row72 col0" >1</td>
-                        <td id="T_b3bcd_row72_col1" class="data row72 col1" >24/06/11</td>
-                        <td id="T_b3bcd_row72_col2" class="data row72 col2" >$ 1438830.15</td>
-                        <td id="T_b3bcd_row72_col3" class="data row72 col3" >False</td>
-                        <td id="T_b3bcd_row72_col4" class="data row72 col4" >83.58º</td>
+                        <th id="T_ee0f7_level0_row72" class="row_heading level0 row72" >72</th>
+                        <td id="T_ee0f7_row72_col0" class="data row72 col0" >1</td>
+                        <td id="T_ee0f7_row72_col1" class="data row72 col1" >24/06/11</td>
+                        <td id="T_ee0f7_row72_col2" class="data row72 col2" >$ 1438830.15</td>
+                        <td id="T_ee0f7_row72_col3" class="data row72 col3" >False</td>
+                        <td id="T_ee0f7_row72_col4" class="data row72 col4" >83.58º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row73" class="row_heading level0 row73" >73</th>
-                        <td id="T_b3bcd_row73_col0" class="data row73 col0" >1</td>
-                        <td id="T_b3bcd_row73_col1" class="data row73 col1" >07/01/11</td>
-                        <td id="T_b3bcd_row73_col2" class="data row73 col2" >$ 1488538.09</td>
-                        <td id="T_b3bcd_row73_col3" class="data row73 col3" >False</td>
-                        <td id="T_b3bcd_row73_col4" class="data row73 col4" >85.55º</td>
+                        <th id="T_ee0f7_level0_row73" class="row_heading level0 row73" >73</th>
+                        <td id="T_ee0f7_row73_col0" class="data row73 col0" >1</td>
+                        <td id="T_ee0f7_row73_col1" class="data row73 col1" >07/01/11</td>
+                        <td id="T_ee0f7_row73_col2" class="data row73 col2" >$ 1488538.09</td>
+                        <td id="T_ee0f7_row73_col3" class="data row73 col3" >False</td>
+                        <td id="T_ee0f7_row73_col4" class="data row73 col4" >85.55º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row74" class="row_heading level0 row74" >74</th>
-                        <td id="T_b3bcd_row74_col0" class="data row74 col0" >1</td>
-                        <td id="T_b3bcd_row74_col1" class="data row74 col1" >07/08/11</td>
-                        <td id="T_b3bcd_row74_col2" class="data row74 col2" >$ 1534849.64</td>
-                        <td id="T_b3bcd_row74_col3" class="data row74 col3" >False</td>
-                        <td id="T_b3bcd_row74_col4" class="data row74 col4" >85.83º</td>
+                        <th id="T_ee0f7_level0_row74" class="row_heading level0 row74" >74</th>
+                        <td id="T_ee0f7_row74_col0" class="data row74 col0" >1</td>
+                        <td id="T_ee0f7_row74_col1" class="data row74 col1" >07/08/11</td>
+                        <td id="T_ee0f7_row74_col2" class="data row74 col2" >$ 1534849.64</td>
+                        <td id="T_ee0f7_row74_col3" class="data row74 col3" >False</td>
+                        <td id="T_ee0f7_row74_col4" class="data row74 col4" >85.83º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row75" class="row_heading level0 row75" >75</th>
-                        <td id="T_b3bcd_row75_col0" class="data row75 col0" >1</td>
-                        <td id="T_b3bcd_row75_col1" class="data row75 col1" >15/07/11</td>
-                        <td id="T_b3bcd_row75_col2" class="data row75 col2" >$ 1455119.97</td>
-                        <td id="T_b3bcd_row75_col3" class="data row75 col3" >False</td>
-                        <td id="T_b3bcd_row75_col4" class="data row75 col4" >88.54º</td>
+                        <th id="T_ee0f7_level0_row75" class="row_heading level0 row75" >75</th>
+                        <td id="T_ee0f7_row75_col0" class="data row75 col0" >1</td>
+                        <td id="T_ee0f7_row75_col1" class="data row75 col1" >15/07/11</td>
+                        <td id="T_ee0f7_row75_col2" class="data row75 col2" >$ 1455119.97</td>
+                        <td id="T_ee0f7_row75_col3" class="data row75 col3" >False</td>
+                        <td id="T_ee0f7_row75_col4" class="data row75 col4" >88.54º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row76" class="row_heading level0 row76" >76</th>
-                        <td id="T_b3bcd_row76_col0" class="data row76 col0" >1</td>
-                        <td id="T_b3bcd_row76_col1" class="data row76 col1" >22/07/11</td>
-                        <td id="T_b3bcd_row76_col2" class="data row76 col2" >$ 1396926.82</td>
-                        <td id="T_b3bcd_row76_col3" class="data row76 col3" >False</td>
-                        <td id="T_b3bcd_row76_col4" class="data row76 col4" >85.77º</td>
+                        <th id="T_ee0f7_level0_row76" class="row_heading level0 row76" >76</th>
+                        <td id="T_ee0f7_row76_col0" class="data row76 col0" >1</td>
+                        <td id="T_ee0f7_row76_col1" class="data row76 col1" >22/07/11</td>
+                        <td id="T_ee0f7_row76_col2" class="data row76 col2" >$ 1396926.82</td>
+                        <td id="T_ee0f7_row76_col3" class="data row76 col3" >False</td>
+                        <td id="T_ee0f7_row76_col4" class="data row76 col4" >85.77º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row77" class="row_heading level0 row77" >77</th>
-                        <td id="T_b3bcd_row77_col0" class="data row77 col0" >1</td>
-                        <td id="T_b3bcd_row77_col1" class="data row77 col1" >29/07/11</td>
-                        <td id="T_b3bcd_row77_col2" class="data row77 col2" >$ 1352219.79</td>
-                        <td id="T_b3bcd_row77_col3" class="data row77 col3" >False</td>
-                        <td id="T_b3bcd_row77_col4" class="data row77 col4" >86.83º</td>
+                        <th id="T_ee0f7_level0_row77" class="row_heading level0 row77" >77</th>
+                        <td id="T_ee0f7_row77_col0" class="data row77 col0" >1</td>
+                        <td id="T_ee0f7_row77_col1" class="data row77 col1" >29/07/11</td>
+                        <td id="T_ee0f7_row77_col2" class="data row77 col2" >$ 1352219.79</td>
+                        <td id="T_ee0f7_row77_col3" class="data row77 col3" >False</td>
+                        <td id="T_ee0f7_row77_col4" class="data row77 col4" >86.83º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row78" class="row_heading level0 row78" >78</th>
-                        <td id="T_b3bcd_row78_col0" class="data row78 col0" >1</td>
-                        <td id="T_b3bcd_row78_col1" class="data row78 col1" >08/05/11</td>
-                        <td id="T_b3bcd_row78_col2" class="data row78 col2" >$ 1624383.75</td>
-                        <td id="T_b3bcd_row78_col3" class="data row78 col3" >False</td>
-                        <td id="T_b3bcd_row78_col4" class="data row78 col4" >91.65º</td>
+                        <th id="T_ee0f7_level0_row78" class="row_heading level0 row78" >78</th>
+                        <td id="T_ee0f7_row78_col0" class="data row78 col0" >1</td>
+                        <td id="T_ee0f7_row78_col1" class="data row78 col1" >08/05/11</td>
+                        <td id="T_ee0f7_row78_col2" class="data row78 col2" >$ 1624383.75</td>
+                        <td id="T_ee0f7_row78_col3" class="data row78 col3" >False</td>
+                        <td id="T_ee0f7_row78_col4" class="data row78 col4" >91.65º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row79" class="row_heading level0 row79" >79</th>
-                        <td id="T_b3bcd_row79_col0" class="data row79 col0" >1</td>
-                        <td id="T_b3bcd_row79_col1" class="data row79 col1" >08/12/11</td>
-                        <td id="T_b3bcd_row79_col2" class="data row79 col2" >$ 1525147.09</td>
-                        <td id="T_b3bcd_row79_col3" class="data row79 col3" >False</td>
-                        <td id="T_b3bcd_row79_col4" class="data row79 col4" >90.76º</td>
+                        <th id="T_ee0f7_level0_row79" class="row_heading level0 row79" >79</th>
+                        <td id="T_ee0f7_row79_col0" class="data row79 col0" >1</td>
+                        <td id="T_ee0f7_row79_col1" class="data row79 col1" >08/12/11</td>
+                        <td id="T_ee0f7_row79_col2" class="data row79 col2" >$ 1525147.09</td>
+                        <td id="T_ee0f7_row79_col3" class="data row79 col3" >False</td>
+                        <td id="T_ee0f7_row79_col4" class="data row79 col4" >90.76º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row80" class="row_heading level0 row80" >80</th>
-                        <td id="T_b3bcd_row80_col0" class="data row80 col0" >1</td>
-                        <td id="T_b3bcd_row80_col1" class="data row80 col1" >19/08/11</td>
-                        <td id="T_b3bcd_row80_col2" class="data row80 col2" >$ 1530761.43</td>
-                        <td id="T_b3bcd_row80_col3" class="data row80 col3" >False</td>
-                        <td id="T_b3bcd_row80_col4" class="data row80 col4" >89.94º</td>
+                        <th id="T_ee0f7_level0_row80" class="row_heading level0 row80" >80</th>
+                        <td id="T_ee0f7_row80_col0" class="data row80 col0" >1</td>
+                        <td id="T_ee0f7_row80_col1" class="data row80 col1" >19/08/11</td>
+                        <td id="T_ee0f7_row80_col2" class="data row80 col2" >$ 1530761.43</td>
+                        <td id="T_ee0f7_row80_col3" class="data row80 col3" >False</td>
+                        <td id="T_ee0f7_row80_col4" class="data row80 col4" >89.94º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row81" class="row_heading level0 row81" >81</th>
-                        <td id="T_b3bcd_row81_col0" class="data row81 col0" >1</td>
-                        <td id="T_b3bcd_row81_col1" class="data row81 col1" >26/08/11</td>
-                        <td id="T_b3bcd_row81_col2" class="data row81 col2" >$ 1464693.46</td>
-                        <td id="T_b3bcd_row81_col3" class="data row81 col3" >False</td>
-                        <td id="T_b3bcd_row81_col4" class="data row81 col4" >87.96º</td>
+                        <th id="T_ee0f7_level0_row81" class="row_heading level0 row81" >81</th>
+                        <td id="T_ee0f7_row81_col0" class="data row81 col0" >1</td>
+                        <td id="T_ee0f7_row81_col1" class="data row81 col1" >26/08/11</td>
+                        <td id="T_ee0f7_row81_col2" class="data row81 col2" >$ 1464693.46</td>
+                        <td id="T_ee0f7_row81_col3" class="data row81 col3" >False</td>
+                        <td id="T_ee0f7_row81_col4" class="data row81 col4" >87.96º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row82" class="row_heading level0 row82" >82</th>
-                        <td id="T_b3bcd_row82_col0" class="data row82 col0" >1</td>
-                        <td id="T_b3bcd_row82_col1" class="data row82 col1" >09/02/11</td>
-                        <td id="T_b3bcd_row82_col2" class="data row82 col2" >$ 1550229.22</td>
-                        <td id="T_b3bcd_row82_col3" class="data row82 col3" >False</td>
-                        <td id="T_b3bcd_row82_col4" class="data row82 col4" >87.83º</td>
+                        <th id="T_ee0f7_level0_row82" class="row_heading level0 row82" >82</th>
+                        <td id="T_ee0f7_row82_col0" class="data row82 col0" >1</td>
+                        <td id="T_ee0f7_row82_col1" class="data row82 col1" >09/02/11</td>
+                        <td id="T_ee0f7_row82_col2" class="data row82 col2" >$ 1550229.22</td>
+                        <td id="T_ee0f7_row82_col3" class="data row82 col3" >False</td>
+                        <td id="T_ee0f7_row82_col4" class="data row82 col4" >87.83º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row83" class="row_heading level0 row83" >83</th>
-                        <td id="T_b3bcd_row83_col0" class="data row83 col0" >1</td>
-                        <td id="T_b3bcd_row83_col1" class="data row83 col1" >09/09/11</td>
-                        <td id="T_b3bcd_row83_col2" class="data row83 col2" >$ 1540471.24</td>
-                        <td id="T_b3bcd_row83_col3" class="data row83 col3" >True</td>
-                        <td id="T_b3bcd_row83_col4" class="data row83 col4" >76.00º</td>
+                        <th id="T_ee0f7_level0_row83" class="row_heading level0 row83" >83</th>
+                        <td id="T_ee0f7_row83_col0" class="data row83 col0" >1</td>
+                        <td id="T_ee0f7_row83_col1" class="data row83 col1" >09/09/11</td>
+                        <td id="T_ee0f7_row83_col2" class="data row83 col2" >$ 1540471.24</td>
+                        <td id="T_ee0f7_row83_col3" class="data row83 col3" >True</td>
+                        <td id="T_ee0f7_row83_col4" class="data row83 col4" >76.00º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row84" class="row_heading level0 row84" >84</th>
-                        <td id="T_b3bcd_row84_col0" class="data row84 col0" >1</td>
-                        <td id="T_b3bcd_row84_col1" class="data row84 col1" >16/09/11</td>
-                        <td id="T_b3bcd_row84_col2" class="data row84 col2" >$ 1514259.78</td>
-                        <td id="T_b3bcd_row84_col3" class="data row84 col3" >False</td>
-                        <td id="T_b3bcd_row84_col4" class="data row84 col4" >79.94º</td>
+                        <th id="T_ee0f7_level0_row84" class="row_heading level0 row84" >84</th>
+                        <td id="T_ee0f7_row84_col0" class="data row84 col0" >1</td>
+                        <td id="T_ee0f7_row84_col1" class="data row84 col1" >16/09/11</td>
+                        <td id="T_ee0f7_row84_col2" class="data row84 col2" >$ 1514259.78</td>
+                        <td id="T_ee0f7_row84_col3" class="data row84 col3" >False</td>
+                        <td id="T_ee0f7_row84_col4" class="data row84 col4" >79.94º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row85" class="row_heading level0 row85" >85</th>
-                        <td id="T_b3bcd_row85_col0" class="data row85 col0" >1</td>
-                        <td id="T_b3bcd_row85_col1" class="data row85 col1" >23/09/11</td>
-                        <td id="T_b3bcd_row85_col2" class="data row85 col2" >$ 1380020.27</td>
-                        <td id="T_b3bcd_row85_col3" class="data row85 col3" >False</td>
-                        <td id="T_b3bcd_row85_col4" class="data row85 col4" >75.80º</td>
+                        <th id="T_ee0f7_level0_row85" class="row_heading level0 row85" >85</th>
+                        <td id="T_ee0f7_row85_col0" class="data row85 col0" >1</td>
+                        <td id="T_ee0f7_row85_col1" class="data row85 col1" >23/09/11</td>
+                        <td id="T_ee0f7_row85_col2" class="data row85 col2" >$ 1380020.27</td>
+                        <td id="T_ee0f7_row85_col3" class="data row85 col3" >False</td>
+                        <td id="T_ee0f7_row85_col4" class="data row85 col4" >75.80º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row86" class="row_heading level0 row86" >86</th>
-                        <td id="T_b3bcd_row86_col0" class="data row86 col0" >1</td>
-                        <td id="T_b3bcd_row86_col1" class="data row86 col1" >30/09/11</td>
-                        <td id="T_b3bcd_row86_col2" class="data row86 col2" >$ 1394561.83</td>
-                        <td id="T_b3bcd_row86_col3" class="data row86 col3" >False</td>
-                        <td id="T_b3bcd_row86_col4" class="data row86 col4" >79.69º</td>
+                        <th id="T_ee0f7_level0_row86" class="row_heading level0 row86" >86</th>
+                        <td id="T_ee0f7_row86_col0" class="data row86 col0" >1</td>
+                        <td id="T_ee0f7_row86_col1" class="data row86 col1" >30/09/11</td>
+                        <td id="T_ee0f7_row86_col2" class="data row86 col2" >$ 1394561.83</td>
+                        <td id="T_ee0f7_row86_col3" class="data row86 col3" >False</td>
+                        <td id="T_ee0f7_row86_col4" class="data row86 col4" >79.69º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row87" class="row_heading level0 row87" >87</th>
-                        <td id="T_b3bcd_row87_col0" class="data row87 col0" >1</td>
-                        <td id="T_b3bcd_row87_col1" class="data row87 col1" >10/07/11</td>
-                        <td id="T_b3bcd_row87_col2" class="data row87 col2" >$ 1630989.95</td>
-                        <td id="T_b3bcd_row87_col3" class="data row87 col3" >False</td>
-                        <td id="T_b3bcd_row87_col4" class="data row87 col4" >69.31º</td>
+                        <th id="T_ee0f7_level0_row87" class="row_heading level0 row87" >87</th>
+                        <td id="T_ee0f7_row87_col0" class="data row87 col0" >1</td>
+                        <td id="T_ee0f7_row87_col1" class="data row87 col1" >10/07/11</td>
+                        <td id="T_ee0f7_row87_col2" class="data row87 col2" >$ 1630989.95</td>
+                        <td id="T_ee0f7_row87_col3" class="data row87 col3" >False</td>
+                        <td id="T_ee0f7_row87_col4" class="data row87 col4" >69.31º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row88" class="row_heading level0 row88" >88</th>
-                        <td id="T_b3bcd_row88_col0" class="data row88 col0" >1</td>
-                        <td id="T_b3bcd_row88_col1" class="data row88 col1" >14/10/11</td>
-                        <td id="T_b3bcd_row88_col2" class="data row88 col2" >$ 1493525.93</td>
-                        <td id="T_b3bcd_row88_col3" class="data row88 col3" >False</td>
-                        <td id="T_b3bcd_row88_col4" class="data row88 col4" >71.74º</td>
+                        <th id="T_ee0f7_level0_row88" class="row_heading level0 row88" >88</th>
+                        <td id="T_ee0f7_row88_col0" class="data row88 col0" >1</td>
+                        <td id="T_ee0f7_row88_col1" class="data row88 col1" >14/10/11</td>
+                        <td id="T_ee0f7_row88_col2" class="data row88 col2" >$ 1493525.93</td>
+                        <td id="T_ee0f7_row88_col3" class="data row88 col3" >False</td>
+                        <td id="T_ee0f7_row88_col4" class="data row88 col4" >71.74º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row89" class="row_heading level0 row89" >89</th>
-                        <td id="T_b3bcd_row89_col0" class="data row89 col0" >1</td>
-                        <td id="T_b3bcd_row89_col1" class="data row89 col1" >21/10/11</td>
-                        <td id="T_b3bcd_row89_col2" class="data row89 col2" >$ 1502562.78</td>
-                        <td id="T_b3bcd_row89_col3" class="data row89 col3" >False</td>
-                        <td id="T_b3bcd_row89_col4" class="data row89 col4" >63.71º</td>
+                        <th id="T_ee0f7_level0_row89" class="row_heading level0 row89" >89</th>
+                        <td id="T_ee0f7_row89_col0" class="data row89 col0" >1</td>
+                        <td id="T_ee0f7_row89_col1" class="data row89 col1" >21/10/11</td>
+                        <td id="T_ee0f7_row89_col2" class="data row89 col2" >$ 1502562.78</td>
+                        <td id="T_ee0f7_row89_col3" class="data row89 col3" >False</td>
+                        <td id="T_ee0f7_row89_col4" class="data row89 col4" >63.71º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row90" class="row_heading level0 row90" >90</th>
-                        <td id="T_b3bcd_row90_col0" class="data row90 col0" >1</td>
-                        <td id="T_b3bcd_row90_col1" class="data row90 col1" >28/10/11</td>
-                        <td id="T_b3bcd_row90_col2" class="data row90 col2" >$ 1445249.09</td>
-                        <td id="T_b3bcd_row90_col3" class="data row90 col3" >False</td>
-                        <td id="T_b3bcd_row90_col4" class="data row90 col4" >66.57º</td>
+                        <th id="T_ee0f7_level0_row90" class="row_heading level0 row90" >90</th>
+                        <td id="T_ee0f7_row90_col0" class="data row90 col0" >1</td>
+                        <td id="T_ee0f7_row90_col1" class="data row90 col1" >28/10/11</td>
+                        <td id="T_ee0f7_row90_col2" class="data row90 col2" >$ 1445249.09</td>
+                        <td id="T_ee0f7_row90_col3" class="data row90 col3" >False</td>
+                        <td id="T_ee0f7_row90_col4" class="data row90 col4" >66.57º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row91" class="row_heading level0 row91" >91</th>
-                        <td id="T_b3bcd_row91_col0" class="data row91 col0" >1</td>
-                        <td id="T_b3bcd_row91_col1" class="data row91 col1" >11/04/11</td>
-                        <td id="T_b3bcd_row91_col2" class="data row91 col2" >$ 1697229.58</td>
-                        <td id="T_b3bcd_row91_col3" class="data row91 col3" >False</td>
-                        <td id="T_b3bcd_row91_col4" class="data row91 col4" >54.98º</td>
+                        <th id="T_ee0f7_level0_row91" class="row_heading level0 row91" >91</th>
+                        <td id="T_ee0f7_row91_col0" class="data row91 col0" >1</td>
+                        <td id="T_ee0f7_row91_col1" class="data row91 col1" >11/04/11</td>
+                        <td id="T_ee0f7_row91_col2" class="data row91 col2" >$ 1697229.58</td>
+                        <td id="T_ee0f7_row91_col3" class="data row91 col3" >False</td>
+                        <td id="T_ee0f7_row91_col4" class="data row91 col4" >54.98º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row92" class="row_heading level0 row92" >92</th>
-                        <td id="T_b3bcd_row92_col0" class="data row92 col0" >1</td>
-                        <td id="T_b3bcd_row92_col1" class="data row92 col1" >11/11/11</td>
-                        <td id="T_b3bcd_row92_col2" class="data row92 col2" >$ 1594938.89</td>
-                        <td id="T_b3bcd_row92_col3" class="data row92 col3" >False</td>
-                        <td id="T_b3bcd_row92_col4" class="data row92 col4" >59.11º</td>
+                        <th id="T_ee0f7_level0_row92" class="row_heading level0 row92" >92</th>
+                        <td id="T_ee0f7_row92_col0" class="data row92 col0" >1</td>
+                        <td id="T_ee0f7_row92_col1" class="data row92 col1" >11/11/11</td>
+                        <td id="T_ee0f7_row92_col2" class="data row92 col2" >$ 1594938.89</td>
+                        <td id="T_ee0f7_row92_col3" class="data row92 col3" >False</td>
+                        <td id="T_ee0f7_row92_col4" class="data row92 col4" >59.11º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row93" class="row_heading level0 row93" >93</th>
-                        <td id="T_b3bcd_row93_col0" class="data row93 col0" >1</td>
-                        <td id="T_b3bcd_row93_col1" class="data row93 col1" >18/11/11</td>
-                        <td id="T_b3bcd_row93_col2" class="data row93 col2" >$ 1539483.70</td>
-                        <td id="T_b3bcd_row93_col3" class="data row93 col3" >False</td>
-                        <td id="T_b3bcd_row93_col4" class="data row93 col4" >62.25º</td>
+                        <th id="T_ee0f7_level0_row93" class="row_heading level0 row93" >93</th>
+                        <td id="T_ee0f7_row93_col0" class="data row93 col0" >1</td>
+                        <td id="T_ee0f7_row93_col1" class="data row93 col1" >18/11/11</td>
+                        <td id="T_ee0f7_row93_col2" class="data row93 col2" >$ 1539483.70</td>
+                        <td id="T_ee0f7_row93_col3" class="data row93 col3" >False</td>
+                        <td id="T_ee0f7_row93_col4" class="data row93 col4" >62.25º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row94" class="row_heading level0 row94" >94</th>
-                        <td id="T_b3bcd_row94_col0" class="data row94 col0" >1</td>
-                        <td id="T_b3bcd_row94_col1" class="data row94 col1" >25/11/11</td>
-                        <td id="T_b3bcd_row94_col2" class="data row94 col2" >$ 2033320.66</td>
-                        <td id="T_b3bcd_row94_col3" class="data row94 col3" >True</td>
-                        <td id="T_b3bcd_row94_col4" class="data row94 col4" >60.14º</td>
+                        <th id="T_ee0f7_level0_row94" class="row_heading level0 row94" >94</th>
+                        <td id="T_ee0f7_row94_col0" class="data row94 col0" >1</td>
+                        <td id="T_ee0f7_row94_col1" class="data row94 col1" >25/11/11</td>
+                        <td id="T_ee0f7_row94_col2" class="data row94 col2" >$ 2033320.66</td>
+                        <td id="T_ee0f7_row94_col3" class="data row94 col3" >True</td>
+                        <td id="T_ee0f7_row94_col4" class="data row94 col4" >60.14º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row95" class="row_heading level0 row95" >95</th>
-                        <td id="T_b3bcd_row95_col0" class="data row95 col0" >1</td>
-                        <td id="T_b3bcd_row95_col1" class="data row95 col1" >12/02/11</td>
-                        <td id="T_b3bcd_row95_col2" class="data row95 col2" >$ 1584083.95</td>
-                        <td id="T_b3bcd_row95_col3" class="data row95 col3" >False</td>
-                        <td id="T_b3bcd_row95_col4" class="data row95 col4" >48.91º</td>
+                        <th id="T_ee0f7_level0_row95" class="row_heading level0 row95" >95</th>
+                        <td id="T_ee0f7_row95_col0" class="data row95 col0" >1</td>
+                        <td id="T_ee0f7_row95_col1" class="data row95 col1" >12/02/11</td>
+                        <td id="T_ee0f7_row95_col2" class="data row95 col2" >$ 1584083.95</td>
+                        <td id="T_ee0f7_row95_col3" class="data row95 col3" >False</td>
+                        <td id="T_ee0f7_row95_col4" class="data row95 col4" >48.91º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row96" class="row_heading level0 row96" >96</th>
-                        <td id="T_b3bcd_row96_col0" class="data row96 col0" >1</td>
-                        <td id="T_b3bcd_row96_col1" class="data row96 col1" >12/09/11</td>
-                        <td id="T_b3bcd_row96_col2" class="data row96 col2" >$ 1799682.38</td>
-                        <td id="T_b3bcd_row96_col3" class="data row96 col3" >False</td>
-                        <td id="T_b3bcd_row96_col4" class="data row96 col4" >43.93º</td>
+                        <th id="T_ee0f7_level0_row96" class="row_heading level0 row96" >96</th>
+                        <td id="T_ee0f7_row96_col0" class="data row96 col0" >1</td>
+                        <td id="T_ee0f7_row96_col1" class="data row96 col1" >12/09/11</td>
+                        <td id="T_ee0f7_row96_col2" class="data row96 col2" >$ 1799682.38</td>
+                        <td id="T_ee0f7_row96_col3" class="data row96 col3" >False</td>
+                        <td id="T_ee0f7_row96_col4" class="data row96 col4" >43.93º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row97" class="row_heading level0 row97" >97</th>
-                        <td id="T_b3bcd_row97_col0" class="data row97 col0" >1</td>
-                        <td id="T_b3bcd_row97_col1" class="data row97 col1" >16/12/11</td>
-                        <td id="T_b3bcd_row97_col2" class="data row97 col2" >$ 1881176.67</td>
-                        <td id="T_b3bcd_row97_col3" class="data row97 col3" >False</td>
-                        <td id="T_b3bcd_row97_col4" class="data row97 col4" >51.63º</td>
+                        <th id="T_ee0f7_level0_row97" class="row_heading level0 row97" >97</th>
+                        <td id="T_ee0f7_row97_col0" class="data row97 col0" >1</td>
+                        <td id="T_ee0f7_row97_col1" class="data row97 col1" >16/12/11</td>
+                        <td id="T_ee0f7_row97_col2" class="data row97 col2" >$ 1881176.67</td>
+                        <td id="T_ee0f7_row97_col3" class="data row97 col3" >False</td>
+                        <td id="T_ee0f7_row97_col4" class="data row97 col4" >51.63º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row98" class="row_heading level0 row98" >98</th>
-                        <td id="T_b3bcd_row98_col0" class="data row98 col0" >1</td>
-                        <td id="T_b3bcd_row98_col1" class="data row98 col1" >23/12/11</td>
-                        <td id="T_b3bcd_row98_col2" class="data row98 col2" >$ 2270188.99</td>
-                        <td id="T_b3bcd_row98_col3" class="data row98 col3" >False</td>
-                        <td id="T_b3bcd_row98_col4" class="data row98 col4" >47.96º</td>
+                        <th id="T_ee0f7_level0_row98" class="row_heading level0 row98" >98</th>
+                        <td id="T_ee0f7_row98_col0" class="data row98 col0" >1</td>
+                        <td id="T_ee0f7_row98_col1" class="data row98 col1" >23/12/11</td>
+                        <td id="T_ee0f7_row98_col2" class="data row98 col2" >$ 2270188.99</td>
+                        <td id="T_ee0f7_row98_col3" class="data row98 col3" >False</td>
+                        <td id="T_ee0f7_row98_col4" class="data row98 col4" >47.96º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row99" class="row_heading level0 row99" >99</th>
-                        <td id="T_b3bcd_row99_col0" class="data row99 col0" >1</td>
-                        <td id="T_b3bcd_row99_col1" class="data row99 col1" >30/12/11</td>
-                        <td id="T_b3bcd_row99_col2" class="data row99 col2" >$ 1497462.72</td>
-                        <td id="T_b3bcd_row99_col3" class="data row99 col3" >True</td>
-                        <td id="T_b3bcd_row99_col4" class="data row99 col4" >44.55º</td>
+                        <th id="T_ee0f7_level0_row99" class="row_heading level0 row99" >99</th>
+                        <td id="T_ee0f7_row99_col0" class="data row99 col0" >1</td>
+                        <td id="T_ee0f7_row99_col1" class="data row99 col1" >30/12/11</td>
+                        <td id="T_ee0f7_row99_col2" class="data row99 col2" >$ 1497462.72</td>
+                        <td id="T_ee0f7_row99_col3" class="data row99 col3" >True</td>
+                        <td id="T_ee0f7_row99_col4" class="data row99 col4" >44.55º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row100" class="row_heading level0 row100" >100</th>
-                        <td id="T_b3bcd_row100_col0" class="data row100 col0" >1</td>
-                        <td id="T_b3bcd_row100_col1" class="data row100 col1" >01/06/12</td>
-                        <td id="T_b3bcd_row100_col2" class="data row100 col2" >$ 1550369.92</td>
-                        <td id="T_b3bcd_row100_col3" class="data row100 col3" >False</td>
-                        <td id="T_b3bcd_row100_col4" class="data row100 col4" >49.01º</td>
+                        <th id="T_ee0f7_level0_row100" class="row_heading level0 row100" >100</th>
+                        <td id="T_ee0f7_row100_col0" class="data row100 col0" >1</td>
+                        <td id="T_ee0f7_row100_col1" class="data row100 col1" >01/06/12</td>
+                        <td id="T_ee0f7_row100_col2" class="data row100 col2" >$ 1550369.92</td>
+                        <td id="T_ee0f7_row100_col3" class="data row100 col3" >False</td>
+                        <td id="T_ee0f7_row100_col4" class="data row100 col4" >49.01º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row101" class="row_heading level0 row101" >101</th>
-                        <td id="T_b3bcd_row101_col0" class="data row101 col0" >1</td>
-                        <td id="T_b3bcd_row101_col1" class="data row101 col1" >13/01/12</td>
-                        <td id="T_b3bcd_row101_col2" class="data row101 col2" >$ 1459601.17</td>
-                        <td id="T_b3bcd_row101_col3" class="data row101 col3" >False</td>
-                        <td id="T_b3bcd_row101_col4" class="data row101 col4" >48.53º</td>
+                        <th id="T_ee0f7_level0_row101" class="row_heading level0 row101" >101</th>
+                        <td id="T_ee0f7_row101_col0" class="data row101 col0" >1</td>
+                        <td id="T_ee0f7_row101_col1" class="data row101 col1" >13/01/12</td>
+                        <td id="T_ee0f7_row101_col2" class="data row101 col2" >$ 1459601.17</td>
+                        <td id="T_ee0f7_row101_col3" class="data row101 col3" >False</td>
+                        <td id="T_ee0f7_row101_col4" class="data row101 col4" >48.53º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row102" class="row_heading level0 row102" >102</th>
-                        <td id="T_b3bcd_row102_col0" class="data row102 col0" >1</td>
-                        <td id="T_b3bcd_row102_col1" class="data row102 col1" >20/01/12</td>
-                        <td id="T_b3bcd_row102_col2" class="data row102 col2" >$ 1394393.84</td>
-                        <td id="T_b3bcd_row102_col3" class="data row102 col3" >False</td>
-                        <td id="T_b3bcd_row102_col4" class="data row102 col4" >54.11º</td>
+                        <th id="T_ee0f7_level0_row102" class="row_heading level0 row102" >102</th>
+                        <td id="T_ee0f7_row102_col0" class="data row102 col0" >1</td>
+                        <td id="T_ee0f7_row102_col1" class="data row102 col1" >20/01/12</td>
+                        <td id="T_ee0f7_row102_col2" class="data row102 col2" >$ 1394393.84</td>
+                        <td id="T_ee0f7_row102_col3" class="data row102 col3" >False</td>
+                        <td id="T_ee0f7_row102_col4" class="data row102 col4" >54.11º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row103" class="row_heading level0 row103" >103</th>
-                        <td id="T_b3bcd_row103_col0" class="data row103 col0" >1</td>
-                        <td id="T_b3bcd_row103_col1" class="data row103 col1" >27/01/12</td>
-                        <td id="T_b3bcd_row103_col2" class="data row103 col2" >$ 1319325.59</td>
-                        <td id="T_b3bcd_row103_col3" class="data row103 col3" >False</td>
-                        <td id="T_b3bcd_row103_col4" class="data row103 col4" >54.26º</td>
+                        <th id="T_ee0f7_level0_row103" class="row_heading level0 row103" >103</th>
+                        <td id="T_ee0f7_row103_col0" class="data row103 col0" >1</td>
+                        <td id="T_ee0f7_row103_col1" class="data row103 col1" >27/01/12</td>
+                        <td id="T_ee0f7_row103_col2" class="data row103 col2" >$ 1319325.59</td>
+                        <td id="T_ee0f7_row103_col3" class="data row103 col3" >False</td>
+                        <td id="T_ee0f7_row103_col4" class="data row103 col4" >54.26º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row104" class="row_heading level0 row104" >104</th>
-                        <td id="T_b3bcd_row104_col0" class="data row104 col0" >1</td>
-                        <td id="T_b3bcd_row104_col1" class="data row104 col1" >02/03/12</td>
-                        <td id="T_b3bcd_row104_col2" class="data row104 col2" >$ 1636339.65</td>
-                        <td id="T_b3bcd_row104_col3" class="data row104 col3" >False</td>
-                        <td id="T_b3bcd_row104_col4" class="data row104 col4" >56.55º</td>
+                        <th id="T_ee0f7_level0_row104" class="row_heading level0 row104" >104</th>
+                        <td id="T_ee0f7_row104_col0" class="data row104 col0" >1</td>
+                        <td id="T_ee0f7_row104_col1" class="data row104 col1" >02/03/12</td>
+                        <td id="T_ee0f7_row104_col2" class="data row104 col2" >$ 1636339.65</td>
+                        <td id="T_ee0f7_row104_col3" class="data row104 col3" >False</td>
+                        <td id="T_ee0f7_row104_col4" class="data row104 col4" >56.55º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row105" class="row_heading level0 row105" >105</th>
-                        <td id="T_b3bcd_row105_col0" class="data row105 col0" >1</td>
-                        <td id="T_b3bcd_row105_col1" class="data row105 col1" >02/10/12</td>
-                        <td id="T_b3bcd_row105_col2" class="data row105 col2" >$ 1802477.43</td>
-                        <td id="T_b3bcd_row105_col3" class="data row105 col3" >True</td>
-                        <td id="T_b3bcd_row105_col4" class="data row105 col4" >48.02º</td>
+                        <th id="T_ee0f7_level0_row105" class="row_heading level0 row105" >105</th>
+                        <td id="T_ee0f7_row105_col0" class="data row105 col0" >1</td>
+                        <td id="T_ee0f7_row105_col1" class="data row105 col1" >02/10/12</td>
+                        <td id="T_ee0f7_row105_col2" class="data row105 col2" >$ 1802477.43</td>
+                        <td id="T_ee0f7_row105_col3" class="data row105 col3" >True</td>
+                        <td id="T_ee0f7_row105_col4" class="data row105 col4" >48.02º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row106" class="row_heading level0 row106" >106</th>
-                        <td id="T_b3bcd_row106_col0" class="data row106 col0" >1</td>
-                        <td id="T_b3bcd_row106_col1" class="data row106 col1" >17/02/12</td>
-                        <td id="T_b3bcd_row106_col2" class="data row106 col2" >$ 1819870.00</td>
-                        <td id="T_b3bcd_row106_col3" class="data row106 col3" >False</td>
-                        <td id="T_b3bcd_row106_col4" class="data row106 col4" >45.32º</td>
+                        <th id="T_ee0f7_level0_row106" class="row_heading level0 row106" >106</th>
+                        <td id="T_ee0f7_row106_col0" class="data row106 col0" >1</td>
+                        <td id="T_ee0f7_row106_col1" class="data row106 col1" >17/02/12</td>
+                        <td id="T_ee0f7_row106_col2" class="data row106 col2" >$ 1819870.00</td>
+                        <td id="T_ee0f7_row106_col3" class="data row106 col3" >False</td>
+                        <td id="T_ee0f7_row106_col4" class="data row106 col4" >45.32º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row107" class="row_heading level0 row107" >107</th>
-                        <td id="T_b3bcd_row107_col0" class="data row107 col0" >1</td>
-                        <td id="T_b3bcd_row107_col1" class="data row107 col1" >24/02/12</td>
-                        <td id="T_b3bcd_row107_col2" class="data row107 col2" >$ 1539387.83</td>
-                        <td id="T_b3bcd_row107_col3" class="data row107 col3" >False</td>
-                        <td id="T_b3bcd_row107_col4" class="data row107 col4" >57.25º</td>
+                        <th id="T_ee0f7_level0_row107" class="row_heading level0 row107" >107</th>
+                        <td id="T_ee0f7_row107_col0" class="data row107 col0" >1</td>
+                        <td id="T_ee0f7_row107_col1" class="data row107 col1" >24/02/12</td>
+                        <td id="T_ee0f7_row107_col2" class="data row107 col2" >$ 1539387.83</td>
+                        <td id="T_ee0f7_row107_col3" class="data row107 col3" >False</td>
+                        <td id="T_ee0f7_row107_col4" class="data row107 col4" >57.25º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row108" class="row_heading level0 row108" >108</th>
-                        <td id="T_b3bcd_row108_col0" class="data row108 col0" >1</td>
-                        <td id="T_b3bcd_row108_col1" class="data row108 col1" >03/02/12</td>
-                        <td id="T_b3bcd_row108_col2" class="data row108 col2" >$ 1688420.76</td>
-                        <td id="T_b3bcd_row108_col3" class="data row108 col3" >False</td>
-                        <td id="T_b3bcd_row108_col4" class="data row108 col4" >60.96º</td>
+                        <th id="T_ee0f7_level0_row108" class="row_heading level0 row108" >108</th>
+                        <td id="T_ee0f7_row108_col0" class="data row108 col0" >1</td>
+                        <td id="T_ee0f7_row108_col1" class="data row108 col1" >03/02/12</td>
+                        <td id="T_ee0f7_row108_col2" class="data row108 col2" >$ 1688420.76</td>
+                        <td id="T_ee0f7_row108_col3" class="data row108 col3" >False</td>
+                        <td id="T_ee0f7_row108_col4" class="data row108 col4" >60.96º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row109" class="row_heading level0 row109" >109</th>
-                        <td id="T_b3bcd_row109_col0" class="data row109 col0" >1</td>
-                        <td id="T_b3bcd_row109_col1" class="data row109 col1" >03/09/12</td>
-                        <td id="T_b3bcd_row109_col2" class="data row109 col2" >$ 1675431.16</td>
-                        <td id="T_b3bcd_row109_col3" class="data row109 col3" >False</td>
-                        <td id="T_b3bcd_row109_col4" class="data row109 col4" >58.76º</td>
+                        <th id="T_ee0f7_level0_row109" class="row_heading level0 row109" >109</th>
+                        <td id="T_ee0f7_row109_col0" class="data row109 col0" >1</td>
+                        <td id="T_ee0f7_row109_col1" class="data row109 col1" >03/09/12</td>
+                        <td id="T_ee0f7_row109_col2" class="data row109 col2" >$ 1675431.16</td>
+                        <td id="T_ee0f7_row109_col3" class="data row109 col3" >False</td>
+                        <td id="T_ee0f7_row109_col4" class="data row109 col4" >58.76º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row110" class="row_heading level0 row110" >110</th>
-                        <td id="T_b3bcd_row110_col0" class="data row110 col0" >1</td>
-                        <td id="T_b3bcd_row110_col1" class="data row110 col1" >16/03/12</td>
-                        <td id="T_b3bcd_row110_col2" class="data row110 col2" >$ 1677472.78</td>
-                        <td id="T_b3bcd_row110_col3" class="data row110 col3" >False</td>
-                        <td id="T_b3bcd_row110_col4" class="data row110 col4" >64.74º</td>
+                        <th id="T_ee0f7_level0_row110" class="row_heading level0 row110" >110</th>
+                        <td id="T_ee0f7_row110_col0" class="data row110 col0" >1</td>
+                        <td id="T_ee0f7_row110_col1" class="data row110 col1" >16/03/12</td>
+                        <td id="T_ee0f7_row110_col2" class="data row110 col2" >$ 1677472.78</td>
+                        <td id="T_ee0f7_row110_col3" class="data row110 col3" >False</td>
+                        <td id="T_ee0f7_row110_col4" class="data row110 col4" >64.74º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row111" class="row_heading level0 row111" >111</th>
-                        <td id="T_b3bcd_row111_col0" class="data row111 col0" >1</td>
-                        <td id="T_b3bcd_row111_col1" class="data row111 col1" >23/03/12</td>
-                        <td id="T_b3bcd_row111_col2" class="data row111 col2" >$ 1511068.07</td>
-                        <td id="T_b3bcd_row111_col3" class="data row111 col3" >False</td>
-                        <td id="T_b3bcd_row111_col4" class="data row111 col4" >65.93º</td>
+                        <th id="T_ee0f7_level0_row111" class="row_heading level0 row111" >111</th>
+                        <td id="T_ee0f7_row111_col0" class="data row111 col0" >1</td>
+                        <td id="T_ee0f7_row111_col1" class="data row111 col1" >23/03/12</td>
+                        <td id="T_ee0f7_row111_col2" class="data row111 col2" >$ 1511068.07</td>
+                        <td id="T_ee0f7_row111_col3" class="data row111 col3" >False</td>
+                        <td id="T_ee0f7_row111_col4" class="data row111 col4" >65.93º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row112" class="row_heading level0 row112" >112</th>
-                        <td id="T_b3bcd_row112_col0" class="data row112 col0" >1</td>
-                        <td id="T_b3bcd_row112_col1" class="data row112 col1" >30/03/12</td>
-                        <td id="T_b3bcd_row112_col2" class="data row112 col2" >$ 1649604.63</td>
-                        <td id="T_b3bcd_row112_col3" class="data row112 col3" >False</td>
-                        <td id="T_b3bcd_row112_col4" class="data row112 col4" >67.61º</td>
+                        <th id="T_ee0f7_level0_row112" class="row_heading level0 row112" >112</th>
+                        <td id="T_ee0f7_row112_col0" class="data row112 col0" >1</td>
+                        <td id="T_ee0f7_row112_col1" class="data row112 col1" >30/03/12</td>
+                        <td id="T_ee0f7_row112_col2" class="data row112 col2" >$ 1649604.63</td>
+                        <td id="T_ee0f7_row112_col3" class="data row112 col3" >False</td>
+                        <td id="T_ee0f7_row112_col4" class="data row112 col4" >67.61º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row113" class="row_heading level0 row113" >113</th>
-                        <td id="T_b3bcd_row113_col0" class="data row113 col0" >1</td>
-                        <td id="T_b3bcd_row113_col1" class="data row113 col1" >04/06/12</td>
-                        <td id="T_b3bcd_row113_col2" class="data row113 col2" >$ 1899676.88</td>
-                        <td id="T_b3bcd_row113_col3" class="data row113 col3" >False</td>
-                        <td id="T_b3bcd_row113_col4" class="data row113 col4" >70.43º</td>
+                        <th id="T_ee0f7_level0_row113" class="row_heading level0 row113" >113</th>
+                        <td id="T_ee0f7_row113_col0" class="data row113 col0" >1</td>
+                        <td id="T_ee0f7_row113_col1" class="data row113 col1" >04/06/12</td>
+                        <td id="T_ee0f7_row113_col2" class="data row113 col2" >$ 1899676.88</td>
+                        <td id="T_ee0f7_row113_col3" class="data row113 col3" >False</td>
+                        <td id="T_ee0f7_row113_col4" class="data row113 col4" >70.43º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row114" class="row_heading level0 row114" >114</th>
-                        <td id="T_b3bcd_row114_col0" class="data row114 col0" >1</td>
-                        <td id="T_b3bcd_row114_col1" class="data row114 col1" >13/04/12</td>
-                        <td id="T_b3bcd_row114_col2" class="data row114 col2" >$ 1621031.70</td>
-                        <td id="T_b3bcd_row114_col3" class="data row114 col3" >False</td>
-                        <td id="T_b3bcd_row114_col4" class="data row114 col4" >69.07º</td>
+                        <th id="T_ee0f7_level0_row114" class="row_heading level0 row114" >114</th>
+                        <td id="T_ee0f7_row114_col0" class="data row114 col0" >1</td>
+                        <td id="T_ee0f7_row114_col1" class="data row114 col1" >13/04/12</td>
+                        <td id="T_ee0f7_row114_col2" class="data row114 col2" >$ 1621031.70</td>
+                        <td id="T_ee0f7_row114_col3" class="data row114 col3" >False</td>
+                        <td id="T_ee0f7_row114_col4" class="data row114 col4" >69.07º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row115" class="row_heading level0 row115" >115</th>
-                        <td id="T_b3bcd_row115_col0" class="data row115 col0" >1</td>
-                        <td id="T_b3bcd_row115_col1" class="data row115 col1" >20/04/12</td>
-                        <td id="T_b3bcd_row115_col2" class="data row115 col2" >$ 1521577.87</td>
-                        <td id="T_b3bcd_row115_col3" class="data row115 col3" >False</td>
-                        <td id="T_b3bcd_row115_col4" class="data row115 col4" >66.76º</td>
+                        <th id="T_ee0f7_level0_row115" class="row_heading level0 row115" >115</th>
+                        <td id="T_ee0f7_row115_col0" class="data row115 col0" >1</td>
+                        <td id="T_ee0f7_row115_col1" class="data row115 col1" >20/04/12</td>
+                        <td id="T_ee0f7_row115_col2" class="data row115 col2" >$ 1521577.87</td>
+                        <td id="T_ee0f7_row115_col3" class="data row115 col3" >False</td>
+                        <td id="T_ee0f7_row115_col4" class="data row115 col4" >66.76º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row116" class="row_heading level0 row116" >116</th>
-                        <td id="T_b3bcd_row116_col0" class="data row116 col0" >1</td>
-                        <td id="T_b3bcd_row116_col1" class="data row116 col1" >27/04/12</td>
-                        <td id="T_b3bcd_row116_col2" class="data row116 col2" >$ 1468928.37</td>
-                        <td id="T_b3bcd_row116_col3" class="data row116 col3" >False</td>
-                        <td id="T_b3bcd_row116_col4" class="data row116 col4" >67.23º</td>
+                        <th id="T_ee0f7_level0_row116" class="row_heading level0 row116" >116</th>
+                        <td id="T_ee0f7_row116_col0" class="data row116 col0" >1</td>
+                        <td id="T_ee0f7_row116_col1" class="data row116 col1" >27/04/12</td>
+                        <td id="T_ee0f7_row116_col2" class="data row116 col2" >$ 1468928.37</td>
+                        <td id="T_ee0f7_row116_col3" class="data row116 col3" >False</td>
+                        <td id="T_ee0f7_row116_col4" class="data row116 col4" >67.23º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row117" class="row_heading level0 row117" >117</th>
-                        <td id="T_b3bcd_row117_col0" class="data row117 col0" >1</td>
-                        <td id="T_b3bcd_row117_col1" class="data row117 col1" >05/04/12</td>
-                        <td id="T_b3bcd_row117_col2" class="data row117 col2" >$ 1684519.99</td>
-                        <td id="T_b3bcd_row117_col3" class="data row117 col3" >False</td>
-                        <td id="T_b3bcd_row117_col4" class="data row117 col4" >75.55º</td>
+                        <th id="T_ee0f7_level0_row117" class="row_heading level0 row117" >117</th>
+                        <td id="T_ee0f7_row117_col0" class="data row117 col0" >1</td>
+                        <td id="T_ee0f7_row117_col1" class="data row117 col1" >05/04/12</td>
+                        <td id="T_ee0f7_row117_col2" class="data row117 col2" >$ 1684519.99</td>
+                        <td id="T_ee0f7_row117_col3" class="data row117 col3" >False</td>
+                        <td id="T_ee0f7_row117_col4" class="data row117 col4" >75.55º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row118" class="row_heading level0 row118" >118</th>
-                        <td id="T_b3bcd_row118_col0" class="data row118 col0" >1</td>
-                        <td id="T_b3bcd_row118_col1" class="data row118 col1" >05/11/12</td>
-                        <td id="T_b3bcd_row118_col2" class="data row118 col2" >$ 1611096.05</td>
-                        <td id="T_b3bcd_row118_col3" class="data row118 col3" >False</td>
-                        <td id="T_b3bcd_row118_col4" class="data row118 col4" >73.77º</td>
+                        <th id="T_ee0f7_level0_row118" class="row_heading level0 row118" >118</th>
+                        <td id="T_ee0f7_row118_col0" class="data row118 col0" >1</td>
+                        <td id="T_ee0f7_row118_col1" class="data row118 col1" >05/11/12</td>
+                        <td id="T_ee0f7_row118_col2" class="data row118 col2" >$ 1611096.05</td>
+                        <td id="T_ee0f7_row118_col3" class="data row118 col3" >False</td>
+                        <td id="T_ee0f7_row118_col4" class="data row118 col4" >73.77º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row119" class="row_heading level0 row119" >119</th>
-                        <td id="T_b3bcd_row119_col0" class="data row119 col0" >1</td>
-                        <td id="T_b3bcd_row119_col1" class="data row119 col1" >18/05/12</td>
-                        <td id="T_b3bcd_row119_col2" class="data row119 col2" >$ 1595901.87</td>
-                        <td id="T_b3bcd_row119_col3" class="data row119 col3" >False</td>
-                        <td id="T_b3bcd_row119_col4" class="data row119 col4" >70.33º</td>
+                        <th id="T_ee0f7_level0_row119" class="row_heading level0 row119" >119</th>
+                        <td id="T_ee0f7_row119_col0" class="data row119 col0" >1</td>
+                        <td id="T_ee0f7_row119_col1" class="data row119 col1" >18/05/12</td>
+                        <td id="T_ee0f7_row119_col2" class="data row119 col2" >$ 1595901.87</td>
+                        <td id="T_ee0f7_row119_col3" class="data row119 col3" >False</td>
+                        <td id="T_ee0f7_row119_col4" class="data row119 col4" >70.33º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row120" class="row_heading level0 row120" >120</th>
-                        <td id="T_b3bcd_row120_col0" class="data row120 col0" >1</td>
-                        <td id="T_b3bcd_row120_col1" class="data row120 col1" >25/05/12</td>
-                        <td id="T_b3bcd_row120_col2" class="data row120 col2" >$ 1555444.55</td>
-                        <td id="T_b3bcd_row120_col3" class="data row120 col3" >False</td>
-                        <td id="T_b3bcd_row120_col4" class="data row120 col4" >77.22º</td>
+                        <th id="T_ee0f7_level0_row120" class="row_heading level0 row120" >120</th>
+                        <td id="T_ee0f7_row120_col0" class="data row120 col0" >1</td>
+                        <td id="T_ee0f7_row120_col1" class="data row120 col1" >25/05/12</td>
+                        <td id="T_ee0f7_row120_col2" class="data row120 col2" >$ 1555444.55</td>
+                        <td id="T_ee0f7_row120_col3" class="data row120 col3" >False</td>
+                        <td id="T_ee0f7_row120_col4" class="data row120 col4" >77.22º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row121" class="row_heading level0 row121" >121</th>
-                        <td id="T_b3bcd_row121_col0" class="data row121 col0" >1</td>
-                        <td id="T_b3bcd_row121_col1" class="data row121 col1" >06/01/12</td>
-                        <td id="T_b3bcd_row121_col2" class="data row121 col2" >$ 1624477.58</td>
-                        <td id="T_b3bcd_row121_col3" class="data row121 col3" >False</td>
-                        <td id="T_b3bcd_row121_col4" class="data row121 col4" >77.95º</td>
+                        <th id="T_ee0f7_level0_row121" class="row_heading level0 row121" >121</th>
+                        <td id="T_ee0f7_row121_col0" class="data row121 col0" >1</td>
+                        <td id="T_ee0f7_row121_col1" class="data row121 col1" >06/01/12</td>
+                        <td id="T_ee0f7_row121_col2" class="data row121 col2" >$ 1624477.58</td>
+                        <td id="T_ee0f7_row121_col3" class="data row121 col3" >False</td>
+                        <td id="T_ee0f7_row121_col4" class="data row121 col4" >77.95º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row122" class="row_heading level0 row122" >122</th>
-                        <td id="T_b3bcd_row122_col0" class="data row122 col0" >1</td>
-                        <td id="T_b3bcd_row122_col1" class="data row122 col1" >06/08/12</td>
-                        <td id="T_b3bcd_row122_col2" class="data row122 col2" >$ 1697230.96</td>
-                        <td id="T_b3bcd_row122_col3" class="data row122 col3" >False</td>
-                        <td id="T_b3bcd_row122_col4" class="data row122 col4" >78.30º</td>
+                        <th id="T_ee0f7_level0_row122" class="row_heading level0 row122" >122</th>
+                        <td id="T_ee0f7_row122_col0" class="data row122 col0" >1</td>
+                        <td id="T_ee0f7_row122_col1" class="data row122 col1" >06/08/12</td>
+                        <td id="T_ee0f7_row122_col2" class="data row122 col2" >$ 1697230.96</td>
+                        <td id="T_ee0f7_row122_col3" class="data row122 col3" >False</td>
+                        <td id="T_ee0f7_row122_col4" class="data row122 col4" >78.30º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row123" class="row_heading level0 row123" >123</th>
-                        <td id="T_b3bcd_row123_col0" class="data row123 col0" >1</td>
-                        <td id="T_b3bcd_row123_col1" class="data row123 col1" >15/06/12</td>
-                        <td id="T_b3bcd_row123_col2" class="data row123 col2" >$ 1630607.00</td>
-                        <td id="T_b3bcd_row123_col3" class="data row123 col3" >False</td>
-                        <td id="T_b3bcd_row123_col4" class="data row123 col4" >79.35º</td>
+                        <th id="T_ee0f7_level0_row123" class="row_heading level0 row123" >123</th>
+                        <td id="T_ee0f7_row123_col0" class="data row123 col0" >1</td>
+                        <td id="T_ee0f7_row123_col1" class="data row123 col1" >15/06/12</td>
+                        <td id="T_ee0f7_row123_col2" class="data row123 col2" >$ 1630607.00</td>
+                        <td id="T_ee0f7_row123_col3" class="data row123 col3" >False</td>
+                        <td id="T_ee0f7_row123_col4" class="data row123 col4" >79.35º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row124" class="row_heading level0 row124" >124</th>
-                        <td id="T_b3bcd_row124_col0" class="data row124 col0" >1</td>
-                        <td id="T_b3bcd_row124_col1" class="data row124 col1" >22/06/12</td>
-                        <td id="T_b3bcd_row124_col2" class="data row124 col2" >$ 1527845.81</td>
-                        <td id="T_b3bcd_row124_col3" class="data row124 col3" >False</td>
-                        <td id="T_b3bcd_row124_col4" class="data row124 col4" >78.39º</td>
+                        <th id="T_ee0f7_level0_row124" class="row_heading level0 row124" >124</th>
+                        <td id="T_ee0f7_row124_col0" class="data row124 col0" >1</td>
+                        <td id="T_ee0f7_row124_col1" class="data row124 col1" >22/06/12</td>
+                        <td id="T_ee0f7_row124_col2" class="data row124 col2" >$ 1527845.81</td>
+                        <td id="T_ee0f7_row124_col3" class="data row124 col3" >False</td>
+                        <td id="T_ee0f7_row124_col4" class="data row124 col4" >78.39º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row125" class="row_heading level0 row125" >125</th>
-                        <td id="T_b3bcd_row125_col0" class="data row125 col0" >1</td>
-                        <td id="T_b3bcd_row125_col1" class="data row125 col1" >29/06/12</td>
-                        <td id="T_b3bcd_row125_col2" class="data row125 col2" >$ 1540421.49</td>
-                        <td id="T_b3bcd_row125_col3" class="data row125 col3" >False</td>
-                        <td id="T_b3bcd_row125_col4" class="data row125 col4" >84.88º</td>
+                        <th id="T_ee0f7_level0_row125" class="row_heading level0 row125" >125</th>
+                        <td id="T_ee0f7_row125_col0" class="data row125 col0" >1</td>
+                        <td id="T_ee0f7_row125_col1" class="data row125 col1" >29/06/12</td>
+                        <td id="T_ee0f7_row125_col2" class="data row125 col2" >$ 1540421.49</td>
+                        <td id="T_ee0f7_row125_col3" class="data row125 col3" >False</td>
+                        <td id="T_ee0f7_row125_col4" class="data row125 col4" >84.88º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row126" class="row_heading level0 row126" >126</th>
-                        <td id="T_b3bcd_row126_col0" class="data row126 col0" >1</td>
-                        <td id="T_b3bcd_row126_col1" class="data row126 col1" >07/06/12</td>
-                        <td id="T_b3bcd_row126_col2" class="data row126 col2" >$ 1769854.16</td>
-                        <td id="T_b3bcd_row126_col3" class="data row126 col3" >False</td>
-                        <td id="T_b3bcd_row126_col4" class="data row126 col4" >81.57º</td>
+                        <th id="T_ee0f7_level0_row126" class="row_heading level0 row126" >126</th>
+                        <td id="T_ee0f7_row126_col0" class="data row126 col0" >1</td>
+                        <td id="T_ee0f7_row126_col1" class="data row126 col1" >07/06/12</td>
+                        <td id="T_ee0f7_row126_col2" class="data row126 col2" >$ 1769854.16</td>
+                        <td id="T_ee0f7_row126_col3" class="data row126 col3" >False</td>
+                        <td id="T_ee0f7_row126_col4" class="data row126 col4" >81.57º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row127" class="row_heading level0 row127" >127</th>
-                        <td id="T_b3bcd_row127_col0" class="data row127 col0" >1</td>
-                        <td id="T_b3bcd_row127_col1" class="data row127 col1" >13/07/12</td>
-                        <td id="T_b3bcd_row127_col2" class="data row127 col2" >$ 1527014.04</td>
-                        <td id="T_b3bcd_row127_col3" class="data row127 col3" >False</td>
-                        <td id="T_b3bcd_row127_col4" class="data row127 col4" >77.12º</td>
+                        <th id="T_ee0f7_level0_row127" class="row_heading level0 row127" >127</th>
+                        <td id="T_ee0f7_row127_col0" class="data row127 col0" >1</td>
+                        <td id="T_ee0f7_row127_col1" class="data row127 col1" >13/07/12</td>
+                        <td id="T_ee0f7_row127_col2" class="data row127 col2" >$ 1527014.04</td>
+                        <td id="T_ee0f7_row127_col3" class="data row127 col3" >False</td>
+                        <td id="T_ee0f7_row127_col4" class="data row127 col4" >77.12º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row128" class="row_heading level0 row128" >128</th>
-                        <td id="T_b3bcd_row128_col0" class="data row128 col0" >1</td>
-                        <td id="T_b3bcd_row128_col1" class="data row128 col1" >20/07/12</td>
-                        <td id="T_b3bcd_row128_col2" class="data row128 col2" >$ 1497954.76</td>
-                        <td id="T_b3bcd_row128_col3" class="data row128 col3" >False</td>
-                        <td id="T_b3bcd_row128_col4" class="data row128 col4" >80.42º</td>
+                        <th id="T_ee0f7_level0_row128" class="row_heading level0 row128" >128</th>
+                        <td id="T_ee0f7_row128_col0" class="data row128 col0" >1</td>
+                        <td id="T_ee0f7_row128_col1" class="data row128 col1" >20/07/12</td>
+                        <td id="T_ee0f7_row128_col2" class="data row128 col2" >$ 1497954.76</td>
+                        <td id="T_ee0f7_row128_col3" class="data row128 col3" >False</td>
+                        <td id="T_ee0f7_row128_col4" class="data row128 col4" >80.42º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row129" class="row_heading level0 row129" >129</th>
-                        <td id="T_b3bcd_row129_col0" class="data row129 col0" >1</td>
-                        <td id="T_b3bcd_row129_col1" class="data row129 col1" >27/07/12</td>
-                        <td id="T_b3bcd_row129_col2" class="data row129 col2" >$ 1439123.71</td>
-                        <td id="T_b3bcd_row129_col3" class="data row129 col3" >False</td>
-                        <td id="T_b3bcd_row129_col4" class="data row129 col4" >82.66º</td>
+                        <th id="T_ee0f7_level0_row129" class="row_heading level0 row129" >129</th>
+                        <td id="T_ee0f7_row129_col0" class="data row129 col0" >1</td>
+                        <td id="T_ee0f7_row129_col1" class="data row129 col1" >27/07/12</td>
+                        <td id="T_ee0f7_row129_col2" class="data row129 col2" >$ 1439123.71</td>
+                        <td id="T_ee0f7_row129_col3" class="data row129 col3" >False</td>
+                        <td id="T_ee0f7_row129_col4" class="data row129 col4" >82.66º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row130" class="row_heading level0 row130" >130</th>
-                        <td id="T_b3bcd_row130_col0" class="data row130 col0" >1</td>
-                        <td id="T_b3bcd_row130_col1" class="data row130 col1" >08/03/12</td>
-                        <td id="T_b3bcd_row130_col2" class="data row130 col2" >$ 1631135.79</td>
-                        <td id="T_b3bcd_row130_col3" class="data row130 col3" >False</td>
-                        <td id="T_b3bcd_row130_col4" class="data row130 col4" >86.11º</td>
+                        <th id="T_ee0f7_level0_row130" class="row_heading level0 row130" >130</th>
+                        <td id="T_ee0f7_row130_col0" class="data row130 col0" >1</td>
+                        <td id="T_ee0f7_row130_col1" class="data row130 col1" >08/03/12</td>
+                        <td id="T_ee0f7_row130_col2" class="data row130 col2" >$ 1631135.79</td>
+                        <td id="T_ee0f7_row130_col3" class="data row130 col3" >False</td>
+                        <td id="T_ee0f7_row130_col4" class="data row130 col4" >86.11º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row131" class="row_heading level0 row131" >131</th>
-                        <td id="T_b3bcd_row131_col0" class="data row131 col0" >1</td>
-                        <td id="T_b3bcd_row131_col1" class="data row131 col1" >08/10/12</td>
-                        <td id="T_b3bcd_row131_col2" class="data row131 col2" >$ 1592409.97</td>
-                        <td id="T_b3bcd_row131_col3" class="data row131 col3" >False</td>
-                        <td id="T_b3bcd_row131_col4" class="data row131 col4" >85.05º</td>
+                        <th id="T_ee0f7_level0_row131" class="row_heading level0 row131" >131</th>
+                        <td id="T_ee0f7_row131_col0" class="data row131 col0" >1</td>
+                        <td id="T_ee0f7_row131_col1" class="data row131 col1" >08/10/12</td>
+                        <td id="T_ee0f7_row131_col2" class="data row131 col2" >$ 1592409.97</td>
+                        <td id="T_ee0f7_row131_col3" class="data row131 col3" >False</td>
+                        <td id="T_ee0f7_row131_col4" class="data row131 col4" >85.05º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row132" class="row_heading level0 row132" >132</th>
-                        <td id="T_b3bcd_row132_col0" class="data row132 col0" >1</td>
-                        <td id="T_b3bcd_row132_col1" class="data row132 col1" >17/08/12</td>
-                        <td id="T_b3bcd_row132_col2" class="data row132 col2" >$ 1597868.05</td>
-                        <td id="T_b3bcd_row132_col3" class="data row132 col3" >False</td>
-                        <td id="T_b3bcd_row132_col4" class="data row132 col4" >84.85º</td>
+                        <th id="T_ee0f7_level0_row132" class="row_heading level0 row132" >132</th>
+                        <td id="T_ee0f7_row132_col0" class="data row132 col0" >1</td>
+                        <td id="T_ee0f7_row132_col1" class="data row132 col1" >17/08/12</td>
+                        <td id="T_ee0f7_row132_col2" class="data row132 col2" >$ 1597868.05</td>
+                        <td id="T_ee0f7_row132_col3" class="data row132 col3" >False</td>
+                        <td id="T_ee0f7_row132_col4" class="data row132 col4" >84.85º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row133" class="row_heading level0 row133" >133</th>
-                        <td id="T_b3bcd_row133_col0" class="data row133 col0" >1</td>
-                        <td id="T_b3bcd_row133_col1" class="data row133 col1" >24/08/12</td>
-                        <td id="T_b3bcd_row133_col2" class="data row133 col2" >$ 1494122.38</td>
-                        <td id="T_b3bcd_row133_col3" class="data row133 col3" >False</td>
-                        <td id="T_b3bcd_row133_col4" class="data row133 col4" >77.66º</td>
+                        <th id="T_ee0f7_level0_row133" class="row_heading level0 row133" >133</th>
+                        <td id="T_ee0f7_row133_col0" class="data row133 col0" >1</td>
+                        <td id="T_ee0f7_row133_col1" class="data row133 col1" >24/08/12</td>
+                        <td id="T_ee0f7_row133_col2" class="data row133 col2" >$ 1494122.38</td>
+                        <td id="T_ee0f7_row133_col3" class="data row133 col3" >False</td>
+                        <td id="T_ee0f7_row133_col4" class="data row133 col4" >77.66º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row134" class="row_heading level0 row134" >134</th>
-                        <td id="T_b3bcd_row134_col0" class="data row134 col0" >1</td>
-                        <td id="T_b3bcd_row134_col1" class="data row134 col1" >31/08/12</td>
-                        <td id="T_b3bcd_row134_col2" class="data row134 col2" >$ 1582083.40</td>
-                        <td id="T_b3bcd_row134_col3" class="data row134 col3" >False</td>
-                        <td id="T_b3bcd_row134_col4" class="data row134 col4" >80.49º</td>
+                        <th id="T_ee0f7_level0_row134" class="row_heading level0 row134" >134</th>
+                        <td id="T_ee0f7_row134_col0" class="data row134 col0" >1</td>
+                        <td id="T_ee0f7_row134_col1" class="data row134 col1" >31/08/12</td>
+                        <td id="T_ee0f7_row134_col2" class="data row134 col2" >$ 1582083.40</td>
+                        <td id="T_ee0f7_row134_col3" class="data row134 col3" >False</td>
+                        <td id="T_ee0f7_row134_col4" class="data row134 col4" >80.49º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row135" class="row_heading level0 row135" >135</th>
-                        <td id="T_b3bcd_row135_col0" class="data row135 col0" >1</td>
-                        <td id="T_b3bcd_row135_col1" class="data row135 col1" >09/07/12</td>
-                        <td id="T_b3bcd_row135_col2" class="data row135 col2" >$ 1661767.33</td>
-                        <td id="T_b3bcd_row135_col3" class="data row135 col3" >True</td>
-                        <td id="T_b3bcd_row135_col4" class="data row135 col4" >83.96º</td>
+                        <th id="T_ee0f7_level0_row135" class="row_heading level0 row135" >135</th>
+                        <td id="T_ee0f7_row135_col0" class="data row135 col0" >1</td>
+                        <td id="T_ee0f7_row135_col1" class="data row135 col1" >09/07/12</td>
+                        <td id="T_ee0f7_row135_col2" class="data row135 col2" >$ 1661767.33</td>
+                        <td id="T_ee0f7_row135_col3" class="data row135 col3" >True</td>
+                        <td id="T_ee0f7_row135_col4" class="data row135 col4" >83.96º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row136" class="row_heading level0 row136" >136</th>
-                        <td id="T_b3bcd_row136_col0" class="data row136 col0" >1</td>
-                        <td id="T_b3bcd_row136_col1" class="data row136 col1" >14/09/12</td>
-                        <td id="T_b3bcd_row136_col2" class="data row136 col2" >$ 1517428.87</td>
-                        <td id="T_b3bcd_row136_col3" class="data row136 col3" >False</td>
-                        <td id="T_b3bcd_row136_col4" class="data row136 col4" >74.97º</td>
+                        <th id="T_ee0f7_level0_row136" class="row_heading level0 row136" >136</th>
+                        <td id="T_ee0f7_row136_col0" class="data row136 col0" >1</td>
+                        <td id="T_ee0f7_row136_col1" class="data row136 col1" >14/09/12</td>
+                        <td id="T_ee0f7_row136_col2" class="data row136 col2" >$ 1517428.87</td>
+                        <td id="T_ee0f7_row136_col3" class="data row136 col3" >False</td>
+                        <td id="T_ee0f7_row136_col4" class="data row136 col4" >74.97º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row137" class="row_heading level0 row137" >137</th>
-                        <td id="T_b3bcd_row137_col0" class="data row137 col0" >1</td>
-                        <td id="T_b3bcd_row137_col1" class="data row137 col1" >21/09/12</td>
-                        <td id="T_b3bcd_row137_col2" class="data row137 col2" >$ 1506126.06</td>
-                        <td id="T_b3bcd_row137_col3" class="data row137 col3" >False</td>
-                        <td id="T_b3bcd_row137_col4" class="data row137 col4" >69.87º</td>
+                        <th id="T_ee0f7_level0_row137" class="row_heading level0 row137" >137</th>
+                        <td id="T_ee0f7_row137_col0" class="data row137 col0" >1</td>
+                        <td id="T_ee0f7_row137_col1" class="data row137 col1" >21/09/12</td>
+                        <td id="T_ee0f7_row137_col2" class="data row137 col2" >$ 1506126.06</td>
+                        <td id="T_ee0f7_row137_col3" class="data row137 col3" >False</td>
+                        <td id="T_ee0f7_row137_col4" class="data row137 col4" >69.87º</td>
             </tr>
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-                        <th id="T_b3bcd_level0_row138" class="row_heading level0 row138" >138</th>
-                        <td id="T_b3bcd_row138_col0" class="data row138 col0" >1</td>
-                        <td id="T_b3bcd_row138_col1" class="data row138 col1" >28/09/12</td>
-                        <td id="T_b3bcd_row138_col2" class="data row138 col2" >$ 1437059.26</td>
-                        <td id="T_b3bcd_row138_col3" class="data row138 col3" >False</td>
-                        <td id="T_b3bcd_row138_col4" class="data row138 col4" >76.08º</td>
+                        <th id="T_ee0f7_level0_row138" class="row_heading level0 row138" >138</th>
+                        <td id="T_ee0f7_row138_col0" class="data row138 col0" >1</td>
+                        <td id="T_ee0f7_row138_col1" class="data row138 col1" >28/09/12</td>
+                        <td id="T_ee0f7_row138_col2" class="data row138 col2" >$ 1437059.26</td>
+                        <td id="T_ee0f7_row138_col3" class="data row138 col3" >False</td>
+                        <td id="T_ee0f7_row138_col4" class="data row138 col4" >76.08º</td>
             </tr>
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-                        <th id="T_b3bcd_level0_row139" class="row_heading level0 row139" >139</th>
-                        <td id="T_b3bcd_row139_col0" class="data row139 col0" >1</td>
-                        <td id="T_b3bcd_row139_col1" class="data row139 col1" >10/05/12</td>
-                        <td id="T_b3bcd_row139_col2" class="data row139 col2" >$ 1670785.97</td>
-                        <td id="T_b3bcd_row139_col3" class="data row139 col3" >False</td>
-                        <td id="T_b3bcd_row139_col4" class="data row139 col4" >68.55º</td>
+                        <th id="T_ee0f7_level0_row139" class="row_heading level0 row139" >139</th>
+                        <td id="T_ee0f7_row139_col0" class="data row139 col0" >1</td>
+                        <td id="T_ee0f7_row139_col1" class="data row139 col1" >10/05/12</td>
+                        <td id="T_ee0f7_row139_col2" class="data row139 col2" >$ 1670785.97</td>
+                        <td id="T_ee0f7_row139_col3" class="data row139 col3" >False</td>
+                        <td id="T_ee0f7_row139_col4" class="data row139 col4" >68.55º</td>
             </tr>
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-                        <th id="T_b3bcd_level0_row140" class="row_heading level0 row140" >140</th>
-                        <td id="T_b3bcd_row140_col0" class="data row140 col0" >1</td>
-                        <td id="T_b3bcd_row140_col1" class="data row140 col1" >10/12/12</td>
-                        <td id="T_b3bcd_row140_col2" class="data row140 col2" >$ 1573072.81</td>
-                        <td id="T_b3bcd_row140_col3" class="data row140 col3" >False</td>
-                        <td id="T_b3bcd_row140_col4" class="data row140 col4" >62.99º</td>
+                        <th id="T_ee0f7_level0_row140" class="row_heading level0 row140" >140</th>
+                        <td id="T_ee0f7_row140_col0" class="data row140 col0" >1</td>
+                        <td id="T_ee0f7_row140_col1" class="data row140 col1" >10/12/12</td>
+                        <td id="T_ee0f7_row140_col2" class="data row140 col2" >$ 1573072.81</td>
+                        <td id="T_ee0f7_row140_col3" class="data row140 col3" >False</td>
+                        <td id="T_ee0f7_row140_col4" class="data row140 col4" >62.99º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row141" class="row_heading level0 row141" >141</th>
-                        <td id="T_b3bcd_row141_col0" class="data row141 col0" >1</td>
-                        <td id="T_b3bcd_row141_col1" class="data row141 col1" >19/10/12</td>
-                        <td id="T_b3bcd_row141_col2" class="data row141 col2" >$ 1508068.77</td>
-                        <td id="T_b3bcd_row141_col3" class="data row141 col3" >False</td>
-                        <td id="T_b3bcd_row141_col4" class="data row141 col4" >67.97º</td>
+                        <th id="T_ee0f7_level0_row141" class="row_heading level0 row141" >141</th>
+                        <td id="T_ee0f7_row141_col0" class="data row141 col0" >1</td>
+                        <td id="T_ee0f7_row141_col1" class="data row141 col1" >19/10/12</td>
+                        <td id="T_ee0f7_row141_col2" class="data row141 col2" >$ 1508068.77</td>
+                        <td id="T_ee0f7_row141_col3" class="data row141 col3" >False</td>
+                        <td id="T_ee0f7_row141_col4" class="data row141 col4" >67.97º</td>
             </tr>
             <tr>
-                        <th id="T_b3bcd_level0_row142" class="row_heading level0 row142" >142</th>
-                        <td id="T_b3bcd_row142_col0" class="data row142 col0" >1</td>
-                        <td id="T_b3bcd_row142_col1" class="data row142 col1" >26/10/12</td>
-                        <td id="T_b3bcd_row142_col2" class="data row142 col2" >$ 1493659.74</td>
-                        <td id="T_b3bcd_row142_col3" class="data row142 col3" >False</td>
-                        <td id="T_b3bcd_row142_col4" class="data row142 col4" >69.16º</td>
+                        <th id="T_ee0f7_level0_row142" class="row_heading level0 row142" >142</th>
+                        <td id="T_ee0f7_row142_col0" class="data row142 col0" >1</td>
+                        <td id="T_ee0f7_row142_col1" class="data row142 col1" >26/10/12</td>
+                        <td id="T_ee0f7_row142_col2" class="data row142 col2" >$ 1493659.74</td>
+                        <td id="T_ee0f7_row142_col3" class="data row142 col3" >False</td>
+                        <td id="T_ee0f7_row142_col4" class="data row142 col4" >69.16º</td>
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     </tbody></table>
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              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 85.9%, transparent 85.9%);
-        }#T_c1bb2_row10_col2,#T_c1bb2_row68_col2,#T_c1bb2_row81_col2{
+        }#T_3ad6f_row10_col2,#T_3ad6f_row68_col2,#T_3ad6f_row81_col2{
             background-color:  #e2f4dd;
             color:  #000000;
-        }#T_c1bb2_row10_col4{
+        }#T_3ad6f_row10_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 86.2%, transparent 86.2%);
-        }#T_c1bb2_row11_col2,#T_c1bb2_row49_col2{
+        }#T_3ad6f_row11_col2,#T_3ad6f_row49_col2{
             background-color:  #edf8ea;
             color:  #000000;
-        }#T_c1bb2_row11_col4{
+        }#T_3ad6f_row11_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 85.4%, transparent 85.4%);
-        }#T_c1bb2_row12_col2,#T_c1bb2_row20_col2{
+        }#T_3ad6f_row12_col2,#T_3ad6f_row20_col2{
             background-color:  #e9f7e5;
             color:  #000000;
-        }#T_c1bb2_row12_col4{
+        }#T_3ad6f_row12_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 86.8%, transparent 86.8%);
-        }#T_c1bb2_row13_col2,#T_c1bb2_row26_col2,#T_c1bb2_row66_col2{
+        }#T_3ad6f_row13_col2,#T_3ad6f_row26_col2,#T_3ad6f_row66_col2{
             background-color:  #c2e7bb;
             color:  #000000;
-        }#T_c1bb2_row13_col4{
+        }#T_3ad6f_row13_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 89.6%, transparent 89.6%);
-        }#T_c1bb2_row14_col2,#T_c1bb2_row40_col2,#T_c1bb2_row60_col2,#T_c1bb2_row88_col2,#T_c1bb2_row133_col2,#T_c1bb2_row142_col2{
+        }#T_3ad6f_row14_col2,#T_3ad6f_row40_col2,#T_3ad6f_row60_col2,#T_3ad6f_row88_col2,#T_3ad6f_row133_col2,#T_3ad6f_row142_col2{
             background-color:  #dbf1d6;
             color:  #000000;
-        }#T_c1bb2_row14_col4{
+        }#T_3ad6f_row14_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 90.8%, transparent 90.8%);
-        }#T_c1bb2_row15_col4{
+        }#T_3ad6f_row15_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 91.7%, transparent 91.7%);
-        }#T_c1bb2_row16_col2,#T_c1bb2_row32_col2{
+        }#T_3ad6f_row16_col2,#T_3ad6f_row32_col2{
             background-color:  #e8f6e3;
             color:  #000000;
-        }#T_c1bb2_row16_col4,#T_c1bb2_row18_col4,#T_c1bb2_row22_col4,#T_c1bb2_row128_col4,#T_c1bb2_row134_col4{
+        }#T_3ad6f_row16_col4,#T_3ad6f_row18_col4,#T_3ad6f_row22_col4,#T_3ad6f_row128_col4,#T_3ad6f_row134_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 93.9%, transparent 93.9%);
-        }#T_c1bb2_row17_col2,#T_c1bb2_row61_col2{
+        }#T_3ad6f_row17_col2,#T_3ad6f_row61_col2{
             background-color:  #bee5b8;
             color:  #000000;
-        }#T_c1bb2_row17_col4{
+        }#T_3ad6f_row17_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 94.0%, transparent 94.0%);
-        }#T_c1bb2_row18_col2,#T_c1bb2_row30_col2,#T_c1bb2_row59_col2,#T_c1bb2_row83_col2,#T_c1bb2_row93_col2,#T_c1bb2_row107_col2,#T_c1bb2_row125_col2{
+        }#T_3ad6f_row18_col2,#T_3ad6f_row30_col2,#T_3ad6f_row59_col2,#T_3ad6f_row83_col2,#T_3ad6f_row93_col2,#T_3ad6f_row107_col2,#T_3ad6f_row125_col2{
             background-color:  #d1edcb;
             color:  #000000;
-        }#T_c1bb2_row19_col2,#T_c1bb2_row89_col2{
+        }#T_3ad6f_row19_col2,#T_3ad6f_row89_col2{
             background-color:  #daf0d4;
             color:  #000000;
-        }#T_c1bb2_row19_col4{
+        }#T_3ad6f_row19_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 95.9%, transparent 95.9%);
-        }#T_c1bb2_row20_col4{
+        }#T_3ad6f_row20_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 96.0%, transparent 96.0%);
-        }#T_c1bb2_row21_col2,#T_c1bb2_row73_col2{
+        }#T_3ad6f_row21_col2,#T_3ad6f_row73_col2{
             background-color:  #dcf2d7;
             color:  #000000;
-        }#T_c1bb2_row21_col4{
+        }#T_3ad6f_row21_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 94.1%, transparent 94.1%);
-        }#T_c1bb2_row23_col2,#T_c1bb2_row29_col2{
+        }#T_3ad6f_row23_col2,#T_3ad6f_row29_col2{
             background-color:  #e5f5e1;
             color:  #000000;
-        }#T_c1bb2_row23_col4,#T_c1bb2_row70_col4{
+        }#T_3ad6f_row23_col4,#T_3ad6f_row70_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 95.4%, transparent 95.4%);
-        }#T_c1bb2_row24_col2,#T_c1bb2_row38_col2{
+        }#T_3ad6f_row24_col2,#T_3ad6f_row38_col2{
             background-color:  #eef8ea;
             color:  #000000;
-        }#T_c1bb2_row24_col4{
+        }#T_3ad6f_row24_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 95.5%, transparent 95.5%);
-        }#T_c1bb2_row25_col2{
+        }#T_3ad6f_row25_col2{
             background-color:  #f0f9ec;
             color:  #000000;
-        }#T_c1bb2_row25_col4{
+        }#T_3ad6f_row25_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 94.6%, transparent 94.6%);
-        }#T_c1bb2_row26_col4{
+        }#T_3ad6f_row26_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 97.6%, transparent 97.6%);
-        }#T_c1bb2_row27_col2,#T_c1bb2_row31_col2,#T_c1bb2_row35_col2,#T_c1bb2_row137_col2,#T_c1bb2_row141_col2{
+        }#T_3ad6f_row27_col2,#T_3ad6f_row31_col2,#T_3ad6f_row35_col2,#T_3ad6f_row137_col2,#T_3ad6f_row141_col2{
             background-color:  #d9f0d3;
             color:  #000000;
-        }#T_c1bb2_row27_col4{
+        }#T_3ad6f_row27_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 97.5%, transparent 97.5%);
-        }#T_c1bb2_row28_col2,#T_c1bb2_row111_col2{
+        }#T_3ad6f_row28_col2,#T_3ad6f_row111_col2{
             background-color:  #d8f0d2;
             color:  #000000;
-        }#T_c1bb2_row28_col4{
+        }#T_3ad6f_row28_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 97.3%, transparent 97.3%);
-        }#T_c1bb2_row29_col4{
+        }#T_3ad6f_row29_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 96.5%, transparent 96.5%);
-        }#T_c1bb2_row30_col4{
+        }#T_3ad6f_row30_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 94.3%, transparent 94.3%);
-        }#T_c1bb2_row31_col4{
+        }#T_3ad6f_row31_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 92.9%, transparent 92.9%);
-        }#T_c1bb2_row32_col4{
+        }#T_3ad6f_row32_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 94.8%, transparent 94.8%);
-        }#T_c1bb2_row33_col2,#T_c1bb2_row77_col2{
+        }#T_3ad6f_row33_col2,#T_3ad6f_row77_col2{
             background-color:  #f2faf0;
             color:  #000000;
-        }#T_c1bb2_row33_col4{
+        }#T_3ad6f_row33_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 94.2%, transparent 94.2%);
-        }#T_c1bb2_row34_col2{
+        }#T_3ad6f_row34_col2{
             background-color:  #e5f5e0;
             color:  #000000;
-        }#T_c1bb2_row34_col4{
+        }#T_3ad6f_row34_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 89.2%, transparent 89.2%);
-        }#T_c1bb2_row35_col4{
+        }#T_3ad6f_row35_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 84.9%, transparent 84.9%);
-        }#T_c1bb2_row36_col2,#T_c1bb2_row101_col2{
+        }#T_3ad6f_row36_col2,#T_3ad6f_row101_col2{
             background-color:  #e3f4de;
             color:  #000000;
-        }#T_c1bb2_row36_col4,#T_c1bb2_row116_col4{
+        }#T_3ad6f_row36_col4,#T_3ad6f_row116_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 86.7%, transparent 86.7%);
-        }#T_c1bb2_row37_col2{
+        }#T_3ad6f_row37_col2{
             background-color:  #f4fbf1;
             color:  #000000;
-        }#T_c1bb2_row37_col4,#T_c1bb2_row137_col4{
+        }#T_3ad6f_row37_col4,#T_3ad6f_row137_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 88.1%, transparent 88.1%);
-        }#T_c1bb2_row38_col4{
+        }#T_3ad6f_row38_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 88.0%, transparent 88.0%);
-        }#T_c1bb2_row39_col4{
+        }#T_3ad6f_row39_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 82.0%, transparent 82.0%);
-        }#T_c1bb2_row40_col4,#T_c1bb2_row56_col4{
+        }#T_3ad6f_row40_col4,#T_3ad6f_row56_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 82.5%, transparent 82.5%);
-        }#T_c1bb2_row41_col2{
+        }#T_3ad6f_row41_col2{
             background-color:  #def2d9;
             color:  #000000;
-        }#T_c1bb2_row41_col4{
+        }#T_3ad6f_row41_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 78.0%, transparent 78.0%);
-        }#T_c1bb2_row42_col2{
+        }#T_3ad6f_row42_col2{
             background-color:  #4db163;
             color:  #000000;
-        }#T_c1bb2_row42_col4,#T_c1bb2_row65_col4{
+        }#T_3ad6f_row42_col4,#T_3ad6f_row65_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 85.2%, transparent 85.2%);
-        }#T_c1bb2_row43_col2,#T_c1bb2_row82_col2,#T_c1bb2_row100_col2{
+        }#T_3ad6f_row43_col2,#T_3ad6f_row82_col2,#T_3ad6f_row100_col2{
             background-color:  #cfecc9;
             color:  #000000;
-        }#T_c1bb2_row43_col4{
+        }#T_3ad6f_row43_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 76.9%, transparent 76.9%);
-        }#T_c1bb2_row44_col2,#T_c1bb2_row117_col2{
+        }#T_3ad6f_row44_col2,#T_3ad6f_row117_col2{
             background-color:  #abdda5;
             color:  #000000;
-        }#T_c1bb2_row44_col4{
+        }#T_3ad6f_row44_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 75.3%, transparent 75.3%);
-        }#T_c1bb2_row45_col2{
+        }#T_3ad6f_row45_col2{
             background-color:  #65bd6f;
             color:  #000000;
-        }#T_c1bb2_row45_col4{
+        }#T_3ad6f_row45_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 77.2%, transparent 77.2%);
-        }#T_c1bb2_row46_col2{
+        }#T_3ad6f_row46_col2{
             background-color:  #00441b;
             color:  #f1f1f1;
-        }#T_c1bb2_row46_col4{
+        }#T_3ad6f_row46_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 78.5%, transparent 78.5%);
-        }#T_c1bb2_row47_col2{
+        }#T_3ad6f_row47_col2{
             background-color:  #f0f9ed;
             color:  #000000;
-        }#T_c1bb2_row47_col4{
+        }#T_3ad6f_row47_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 76.4%, transparent 76.4%);
-        }#T_c1bb2_row48_col2,#T_c1bb2_row90_col2{
+        }#T_3ad6f_row48_col2,#T_3ad6f_row90_col2{
             background-color:  #e6f5e1;
             color:  #000000;
-        }#T_c1bb2_row48_col4{
+        }#T_3ad6f_row48_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 76.3%, transparent 76.3%);
-        }#T_c1bb2_row49_col4{
+        }#T_3ad6f_row49_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 69.3%, transparent 69.3%);
-        }#T_c1bb2_row50_col2{
+        }#T_3ad6f_row50_col2{
             background-color:  #f6fcf4;
             color:  #000000;
-        }#T_c1bb2_row50_col4,#T_c1bb2_row96_col4{
+        }#T_3ad6f_row50_col4,#T_3ad6f_row96_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 74.0%, transparent 74.0%);
-        }#T_c1bb2_row51_col2,#T_c1bb2_row103_col2{
+        }#T_3ad6f_row51_col2,#T_3ad6f_row103_col2{
             background-color:  #f7fcf5;
             color:  #000000;
-        }#T_c1bb2_row51_col4{
+        }#T_3ad6f_row51_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 73.9%, transparent 73.9%);
-        }#T_c1bb2_row52_col2{
+        }#T_3ad6f_row52_col2{
             background-color:  #c1e6ba;
             color:  #000000;
-        }#T_c1bb2_row53_col2,#T_c1bb2_row112_col2{
+        }#T_3ad6f_row53_col2,#T_3ad6f_row112_col2{
             background-color:  #b5e1ae;
             color:  #000000;
-        }#T_c1bb2_row53_col4{
+        }#T_3ad6f_row53_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 69.9%, transparent 69.9%);
-        }#T_c1bb2_row54_col2,#T_c1bb2_row108_col2{
+        }#T_3ad6f_row54_col2,#T_3ad6f_row108_col2{
             background-color:  #aadda4;
             color:  #000000;
-        }#T_c1bb2_row54_col4{
+        }#T_3ad6f_row54_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 81.3%, transparent 81.3%);
-        }#T_c1bb2_row55_col2,#T_c1bb2_row64_col2,#T_c1bb2_row75_col2{
+        }#T_3ad6f_row55_col2,#T_3ad6f_row64_col2,#T_3ad6f_row75_col2{
             background-color:  #e4f5df;
             color:  #000000;
-        }#T_c1bb2_row55_col4{
+        }#T_3ad6f_row55_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 84.3%, transparent 84.3%);
-        }#T_c1bb2_row56_col2,#T_c1bb2_row69_col2,#T_c1bb2_row104_col2{
+        }#T_3ad6f_row56_col2,#T_3ad6f_row69_col2,#T_3ad6f_row104_col2{
             background-color:  #b8e3b2;
             color:  #000000;
-        }#T_c1bb2_row57_col4{
+        }#T_3ad6f_row57_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 79.2%, transparent 79.2%);
-        }#T_c1bb2_row58_col2{
+        }#T_3ad6f_row58_col2{
             background-color:  #c9eac2;
             color:  #000000;
-        }#T_c1bb2_row58_col4{
+        }#T_3ad6f_row58_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 84.2%, transparent 84.2%);
-        }#T_c1bb2_row59_col4{
+        }#T_3ad6f_row59_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 88.2%, transparent 88.2%);
-        }#T_c1bb2_row60_col4{
+        }#T_3ad6f_row60_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 82.3%, transparent 82.3%);
-        }#T_c1bb2_row61_col4{
+        }#T_3ad6f_row61_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 87.0%, transparent 87.0%);
-        }#T_c1bb2_row62_col2{
+        }#T_3ad6f_row62_col2{
             background-color:  #ccebc6;
             color:  #000000;
-        }#T_c1bb2_row62_col4{
+        }#T_3ad6f_row62_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 88.9%, transparent 88.9%);
-        }#T_c1bb2_row63_col2{
+        }#T_3ad6f_row63_col2{
             background-color:  #cbebc5;
             color:  #000000;
-        }#T_c1bb2_row63_col4{
+        }#T_3ad6f_row63_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 89.8%, transparent 89.8%);
-        }#T_c1bb2_row64_col4{
+        }#T_3ad6f_row64_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 89.3%, transparent 89.3%);
-        }#T_c1bb2_row65_col2,#T_c1bb2_row123_col2{
+        }#T_3ad6f_row65_col2,#T_3ad6f_row123_col2{
             background-color:  #bbe4b4;
             color:  #000000;
-        }#T_c1bb2_row66_col4{
+        }#T_3ad6f_row66_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 91.3%, transparent 91.3%);
-        }#T_c1bb2_row67_col2{
+        }#T_3ad6f_row67_col2{
             background-color:  #e8f6e4;
             color:  #000000;
-        }#T_c1bb2_row67_col4,#T_c1bb2_row112_col4{
+        }#T_3ad6f_row67_col4,#T_3ad6f_row112_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 86.9%, transparent 86.9%);
-        }#T_c1bb2_row68_col4,#T_c1bb2_row133_col4{
+        }#T_3ad6f_row68_col4,#T_3ad6f_row133_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 92.4%, transparent 92.4%);
-        }#T_c1bb2_row69_col4{
+        }#T_3ad6f_row69_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 95.3%, transparent 95.3%);
-        }#T_c1bb2_row70_col2,#T_c1bb2_row131_col2{
+        }#T_3ad6f_row70_col2,#T_3ad6f_row131_col2{
             background-color:  #c6e8bf;
             color:  #000000;
-        }#T_c1bb2_row71_col2,#T_c1bb2_row80_col2{
+        }#T_3ad6f_row71_col2,#T_3ad6f_row80_col2{
             background-color:  #d3eecd;
             color:  #000000;
-        }#T_c1bb2_row71_col4{
+        }#T_3ad6f_row71_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 97.1%, transparent 97.1%);
-        }#T_c1bb2_row72_col4{
+        }#T_3ad6f_row72_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 95.6%, transparent 95.6%);
-        }#T_c1bb2_row73_col4{
+        }#T_3ad6f_row73_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 96.7%, transparent 96.7%);
-        }#T_c1bb2_row74_col2{
+        }#T_3ad6f_row74_col2{
             background-color:  #d2edcc;
             color:  #000000;
-        }#T_c1bb2_row74_col4,#T_c1bb2_row76_col4{
+        }#T_3ad6f_row74_col4,#T_3ad6f_row76_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 96.8%, transparent 96.8%);
-        }#T_c1bb2_row75_col4{
+        }#T_3ad6f_row75_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 98.3%, transparent 98.3%);
-        }#T_c1bb2_row77_col4{
+        }#T_3ad6f_row77_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 97.4%, transparent 97.4%);
-        }#T_c1bb2_row78_col2,#T_c1bb2_row121_col2{
+        }#T_3ad6f_row78_col2,#T_3ad6f_row121_col2{
             background-color:  #bce4b5;
             color:  #000000;
-        }#T_c1bb2_row78_col4{
+        }#T_3ad6f_row78_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 100.0%, transparent 100.0%);
-        }#T_c1bb2_row79_col2{
+        }#T_3ad6f_row79_col2{
             background-color:  #d5efcf;
             color:  #000000;
-        }#T_c1bb2_row79_col4{
+        }#T_3ad6f_row79_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 99.5%, transparent 99.5%);
-        }#T_c1bb2_row80_col4{
+        }#T_3ad6f_row80_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 99.1%, transparent 99.1%);
-        }#T_c1bb2_row81_col4{
+        }#T_3ad6f_row81_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 98.0%, transparent 98.0%);
-        }#T_c1bb2_row82_col4{
+        }#T_3ad6f_row82_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 97.9%, transparent 97.9%);
-        }#T_c1bb2_row83_col4,#T_c1bb2_row138_col4{
+        }#T_3ad6f_row83_col4,#T_3ad6f_row138_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 91.5%, transparent 91.5%);
-        }#T_c1bb2_row84_col2,#T_c1bb2_row136_col2{
+        }#T_3ad6f_row84_col2,#T_3ad6f_row136_col2{
             background-color:  #d7efd1;
             color:  #000000;
-        }#T_c1bb2_row84_col4{
+        }#T_3ad6f_row84_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 93.6%, transparent 93.6%);
-        }#T_c1bb2_row85_col2{
+        }#T_3ad6f_row85_col2{
             background-color:  #eff9eb;
             color:  #000000;
-        }#T_c1bb2_row85_col4{
+        }#T_3ad6f_row85_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 91.4%, transparent 91.4%);
-        }#T_c1bb2_row86_col2,#T_c1bb2_row102_col2{
+        }#T_3ad6f_row86_col2,#T_3ad6f_row102_col2{
             background-color:  #edf8e9;
             color:  #000000;
-        }#T_c1bb2_row86_col4{
+        }#T_3ad6f_row86_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 93.5%, transparent 93.5%);
-        }#T_c1bb2_row87_col2,#T_c1bb2_row130_col2{
+        }#T_3ad6f_row87_col2,#T_3ad6f_row130_col2{
             background-color:  #bae3b3;
             color:  #000000;
-        }#T_c1bb2_row87_col4{
+        }#T_3ad6f_row87_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 87.8%, transparent 87.8%);
-        }#T_c1bb2_row88_col4{
+        }#T_3ad6f_row88_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 89.1%, transparent 89.1%);
-        }#T_c1bb2_row89_col4{
+        }#T_3ad6f_row89_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 84.8%, transparent 84.8%);
-        }#T_c1bb2_row90_col4{
+        }#T_3ad6f_row90_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 86.3%, transparent 86.3%);
-        }#T_c1bb2_row91_col2,#T_c1bb2_row122_col2{
+        }#T_3ad6f_row91_col2,#T_3ad6f_row122_col2{
             background-color:  #a8dca2;
             color:  #000000;
-        }#T_c1bb2_row91_col4{
+        }#T_3ad6f_row91_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 80.0%, transparent 80.0%);
-        }#T_c1bb2_row92_col4{
+        }#T_3ad6f_row92_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 82.2%, transparent 82.2%);
-        }#T_c1bb2_row94_col2{
+        }#T_3ad6f_row94_col2{
             background-color:  #369f54;
             color:  #000000;
-        }#T_c1bb2_row94_col4{
+        }#T_3ad6f_row94_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 82.8%, transparent 82.8%);
-        }#T_c1bb2_row95_col2,#T_c1bb2_row134_col2{
+        }#T_3ad6f_row95_col2,#T_3ad6f_row134_col2{
             background-color:  #c8e9c1;
             color:  #000000;
-        }#T_c1bb2_row95_col4,#T_c1bb2_row100_col4{
+        }#T_3ad6f_row95_col4,#T_3ad6f_row100_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 76.7%, transparent 76.7%);
-        }#T_c1bb2_row96_col2{
+        }#T_3ad6f_row96_col2{
             background-color:  #86cc85;
             color:  #000000;
-        }#T_c1bb2_row97_col2{
+        }#T_3ad6f_row97_col2{
             background-color:  #6abf71;
             color:  #000000;
-        }#T_c1bb2_row97_col4{
+        }#T_3ad6f_row97_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 78.2%, transparent 78.2%);
-        }#T_c1bb2_row98_col2{
+        }#T_3ad6f_row98_col2{
             background-color:  #00682a;
             color:  #f1f1f1;
-        }#T_c1bb2_row98_col4,#T_c1bb2_row105_col4{
+        }#T_3ad6f_row98_col4,#T_3ad6f_row105_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 76.2%, transparent 76.2%);
-        }#T_c1bb2_row99_col2,#T_c1bb2_row128_col2{
+        }#T_3ad6f_row99_col2,#T_3ad6f_row128_col2{
             background-color:  #dbf1d5;
             color:  #000000;
-        }#T_c1bb2_row99_col4{
+        }#T_3ad6f_row99_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 74.3%, transparent 74.3%);
-        }#T_c1bb2_row101_col4{
+        }#T_3ad6f_row101_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 76.5%, transparent 76.5%);
-        }#T_c1bb2_row102_col4{
+        }#T_3ad6f_row102_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 79.5%, transparent 79.5%);
-        }#T_c1bb2_row103_col4{
+        }#T_3ad6f_row103_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 79.6%, transparent 79.6%);
-        }#T_c1bb2_row104_col4{
+        }#T_3ad6f_row104_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 80.9%, transparent 80.9%);
-        }#T_c1bb2_row105_col2{
+        }#T_3ad6f_row105_col2{
             background-color:  #84cc83;
             color:  #000000;
-        }#T_c1bb2_row106_col2{
+        }#T_3ad6f_row106_col2{
             background-color:  #7fc97f;
             color:  #000000;
-        }#T_c1bb2_row106_col4{
+        }#T_3ad6f_row106_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 74.7%, transparent 74.7%);
-        }#T_c1bb2_row107_col4{
+        }#T_3ad6f_row107_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 81.2%, transparent 81.2%);
-        }#T_c1bb2_row108_col4{
+        }#T_3ad6f_row108_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 83.3%, transparent 83.3%);
-        }#T_c1bb2_row109_col2{
+        }#T_3ad6f_row109_col2{
             background-color:  #aedea7;
             color:  #000000;
-        }#T_c1bb2_row109_col4{
+        }#T_3ad6f_row109_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 82.1%, transparent 82.1%);
-        }#T_c1bb2_row110_col2{
+        }#T_3ad6f_row110_col2{
             background-color:  #acdea6;
             color:  #000000;
-        }#T_c1bb2_row110_col4{
+        }#T_3ad6f_row110_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 85.3%, transparent 85.3%);
-        }#T_c1bb2_row111_col4{
+        }#T_3ad6f_row111_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 86.0%, transparent 86.0%);
-        }#T_c1bb2_row113_col2{
+        }#T_3ad6f_row113_col2{
             background-color:  #62bb6d;
             color:  #000000;
-        }#T_c1bb2_row113_col4,#T_c1bb2_row119_col4{
+        }#T_3ad6f_row113_col4,#T_3ad6f_row119_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 88.4%, transparent 88.4%);
-        }#T_c1bb2_row114_col2{
+        }#T_3ad6f_row114_col2{
             background-color:  #bde5b6;
             color:  #000000;
-        }#T_c1bb2_row114_col4,#T_c1bb2_row142_col4{
+        }#T_3ad6f_row114_col4,#T_3ad6f_row142_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 87.7%, transparent 87.7%);
-        }#T_c1bb2_row115_col2{
+        }#T_3ad6f_row115_col2{
             background-color:  #d6efd0;
             color:  #000000;
-        }#T_c1bb2_row115_col4{
+        }#T_3ad6f_row115_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 86.4%, transparent 86.4%);
-        }#T_c1bb2_row116_col2{
+        }#T_3ad6f_row116_col2{
             background-color:  #e1f3dc;
             color:  #000000;
-        }#T_c1bb2_row117_col4{
+        }#T_3ad6f_row117_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 91.2%, transparent 91.2%);
-        }#T_c1bb2_row118_col4{
+        }#T_3ad6f_row118_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 90.2%, transparent 90.2%);
-        }#T_c1bb2_row120_col2{
+        }#T_3ad6f_row120_col2{
             background-color:  #cdecc7;
             color:  #000000;
-        }#T_c1bb2_row120_col4,#T_c1bb2_row127_col4{
+        }#T_3ad6f_row120_col4,#T_3ad6f_row127_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 92.1%, transparent 92.1%);
-        }#T_c1bb2_row121_col4{
+        }#T_3ad6f_row121_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 92.5%, transparent 92.5%);
-        }#T_c1bb2_row122_col4{
+        }#T_3ad6f_row122_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 92.7%, transparent 92.7%);
-        }#T_c1bb2_row123_col4{
+        }#T_3ad6f_row123_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 93.3%, transparent 93.3%);
-        }#T_c1bb2_row124_col2,#T_c1bb2_row127_col2{
+        }#T_3ad6f_row124_col2,#T_3ad6f_row127_col2{
             background-color:  #d4eece;
             color:  #000000;
-        }#T_c1bb2_row124_col4{
+        }#T_3ad6f_row124_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 92.8%, transparent 92.8%);
-        }#T_c1bb2_row125_col4,#T_c1bb2_row132_col4{
+        }#T_3ad6f_row125_col4,#T_3ad6f_row132_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 96.3%, transparent 96.3%);
-        }#T_c1bb2_row126_col2{
+        }#T_3ad6f_row126_col2{
             background-color:  #90d18d;
             color:  #000000;
-        }#T_c1bb2_row126_col4{
+        }#T_3ad6f_row126_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 94.5%, transparent 94.5%);
-        }#T_c1bb2_row129_col4{
+        }#T_3ad6f_row129_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 95.1%, transparent 95.1%);
-        }#T_c1bb2_row130_col4{
+        }#T_3ad6f_row130_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 97.0%, transparent 97.0%);
-        }#T_c1bb2_row131_col4{
+        }#T_3ad6f_row131_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 96.4%, transparent 96.4%);
-        }#T_c1bb2_row132_col2{
+        }#T_3ad6f_row132_col2{
             background-color:  #c3e7bc;
             color:  #000000;
-        }#T_c1bb2_row135_col2{
+        }#T_3ad6f_row135_col2{
             background-color:  #b1e0ab;
             color:  #000000;
-        }#T_c1bb2_row135_col4{
+        }#T_3ad6f_row135_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 95.8%, transparent 95.8%);
-        }#T_c1bb2_row136_col4{
+        }#T_3ad6f_row136_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 90.9%, transparent 90.9%);
-        }#T_c1bb2_row138_col2{
+        }#T_3ad6f_row138_col2{
             background-color:  #e7f6e3;
             color:  #000000;
-        }#T_c1bb2_row139_col2{
+        }#T_3ad6f_row139_col2{
             background-color:  #afdfa8;
             color:  #000000;
-        }#T_c1bb2_row139_col4{
+        }#T_3ad6f_row139_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 87.4%, transparent 87.4%);
-        }#T_c1bb2_row140_col2{
+        }#T_3ad6f_row140_col2{
             background-color:  #caeac3;
             color:  #000000;
-        }#T_c1bb2_row140_col4{
+        }#T_3ad6f_row140_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 84.4%, transparent 84.4%);
-        }#T_c1bb2_row141_col4{
+        }#T_3ad6f_row141_col4{
             width:  10em;
              height:  80%;
             background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 87.1%, transparent 87.1%);
-        }</style><table id="T_c1bb2_" ><caption>Vendas semanais das lojas do Walmart</caption><thead>    <tr>        <th class="col_heading level0 col0" >loja</th>        <th class="col_heading level0 col1" >data</th>        <th class="col_heading level0 col2" >vendas_semanais</th>        <th class="col_heading level0 col3" >feriado</th>        <th class="col_heading level0 col4" >temperatura</th>    </tr></thead><tbody>
+        }</style><table id="T_3ad6f_" ><caption>Vendas semanais das lojas do Walmart</caption><thead>    <tr>        <th class="col_heading level0 col0" >loja</th>        <th class="col_heading level0 col1" >data</th>        <th class="col_heading level0 col2" >vendas_semanais</th>        <th class="col_heading level0 col3" >feriado</th>        <th class="col_heading level0 col4" >temperatura</th>    </tr></thead><tbody>
                 <tr>
-                                <td id="T_c1bb2_row0_col0" class="data row0 col0" >1</td>
-                        <td id="T_c1bb2_row0_col1" class="data row0 col1" >02/05/10</td>
-                        <td id="T_c1bb2_row0_col2" class="data row0 col2" >$ 1643690.90</td>
-                        <td id="T_c1bb2_row0_col3" class="data row0 col3" >False</td>
-                        <td id="T_c1bb2_row0_col4" class="data row0 col4" >42.31º</td>
+                                <td id="T_3ad6f_row0_col0" class="data row0 col0" >1</td>
+                        <td id="T_3ad6f_row0_col1" class="data row0 col1" >02/05/10</td>
+                        <td id="T_3ad6f_row0_col2" class="data row0 col2" >$ 1643690.90</td>
+                        <td id="T_3ad6f_row0_col3" class="data row0 col3" >False</td>
+                        <td id="T_3ad6f_row0_col4" class="data row0 col4" >42.31º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row1_col0" class="data row1 col0" >1</td>
-                        <td id="T_c1bb2_row1_col1" class="data row1 col1" >02/12/10</td>
-                        <td id="T_c1bb2_row1_col2" class="data row1 col2" >$ 1641957.44</td>
-                        <td id="T_c1bb2_row1_col3" class="data row1 col3" >True</td>
-                        <td id="T_c1bb2_row1_col4" class="data row1 col4" >38.51º</td>
+                                <td id="T_3ad6f_row1_col0" class="data row1 col0" >1</td>
+                        <td id="T_3ad6f_row1_col1" class="data row1 col1" >02/12/10</td>
+                        <td id="T_3ad6f_row1_col2" class="data row1 col2" >$ 1641957.44</td>
+                        <td id="T_3ad6f_row1_col3" class="data row1 col3" >True</td>
+                        <td id="T_3ad6f_row1_col4" class="data row1 col4" >38.51º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row2_col0" class="data row2 col0" >1</td>
-                        <td id="T_c1bb2_row2_col1" class="data row2 col1" >19/02/10</td>
-                        <td id="T_c1bb2_row2_col2" class="data row2 col2" >$ 1611968.17</td>
-                        <td id="T_c1bb2_row2_col3" class="data row2 col3" >False</td>
-                        <td id="T_c1bb2_row2_col4" class="data row2 col4" >39.93º</td>
+                                <td id="T_3ad6f_row2_col0" class="data row2 col0" >1</td>
+                        <td id="T_3ad6f_row2_col1" class="data row2 col1" >19/02/10</td>
+                        <td id="T_3ad6f_row2_col2" class="data row2 col2" >$ 1611968.17</td>
+                        <td id="T_3ad6f_row2_col3" class="data row2 col3" >False</td>
+                        <td id="T_3ad6f_row2_col4" class="data row2 col4" >39.93º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row3_col0" class="data row3 col0" >1</td>
-                        <td id="T_c1bb2_row3_col1" class="data row3 col1" >26/02/10</td>
-                        <td id="T_c1bb2_row3_col2" class="data row3 col2" >$ 1409727.59</td>
-                        <td id="T_c1bb2_row3_col3" class="data row3 col3" >False</td>
-                        <td id="T_c1bb2_row3_col4" class="data row3 col4" >46.63º</td>
+                                <td id="T_3ad6f_row3_col0" class="data row3 col0" >1</td>
+                        <td id="T_3ad6f_row3_col1" class="data row3 col1" >26/02/10</td>
+                        <td id="T_3ad6f_row3_col2" class="data row3 col2" >$ 1409727.59</td>
+                        <td id="T_3ad6f_row3_col3" class="data row3 col3" >False</td>
+                        <td id="T_3ad6f_row3_col4" class="data row3 col4" >46.63º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row4_col0" class="data row4 col0" >1</td>
-                        <td id="T_c1bb2_row4_col1" class="data row4 col1" >03/05/10</td>
-                        <td id="T_c1bb2_row4_col2" class="data row4 col2" >$ 1554806.68</td>
-                        <td id="T_c1bb2_row4_col3" class="data row4 col3" >False</td>
-                        <td id="T_c1bb2_row4_col4" class="data row4 col4" >46.50º</td>
+                                <td id="T_3ad6f_row4_col0" class="data row4 col0" >1</td>
+                        <td id="T_3ad6f_row4_col1" class="data row4 col1" >03/05/10</td>
+                        <td id="T_3ad6f_row4_col2" class="data row4 col2" >$ 1554806.68</td>
+                        <td id="T_3ad6f_row4_col3" class="data row4 col3" >False</td>
+                        <td id="T_3ad6f_row4_col4" class="data row4 col4" >46.50º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row5_col0" class="data row5 col0" >1</td>
-                        <td id="T_c1bb2_row5_col1" class="data row5 col1" >03/12/10</td>
-                        <td id="T_c1bb2_row5_col2" class="data row5 col2" >$ 1439541.59</td>
-                        <td id="T_c1bb2_row5_col3" class="data row5 col3" >False</td>
-                        <td id="T_c1bb2_row5_col4" class="data row5 col4" >57.79º</td>
+                                <td id="T_3ad6f_row5_col0" class="data row5 col0" >1</td>
+                        <td id="T_3ad6f_row5_col1" class="data row5 col1" >03/12/10</td>
+                        <td id="T_3ad6f_row5_col2" class="data row5 col2" >$ 1439541.59</td>
+                        <td id="T_3ad6f_row5_col3" class="data row5 col3" >False</td>
+                        <td id="T_3ad6f_row5_col4" class="data row5 col4" >57.79º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row6_col0" class="data row6 col0" >1</td>
-                        <td id="T_c1bb2_row6_col1" class="data row6 col1" >19/03/10</td>
-                        <td id="T_c1bb2_row6_col2" class="data row6 col2" >$ 1472515.79</td>
-                        <td id="T_c1bb2_row6_col3" class="data row6 col3" >False</td>
-                        <td id="T_c1bb2_row6_col4" class="data row6 col4" >54.58º</td>
+                                <td id="T_3ad6f_row6_col0" class="data row6 col0" >1</td>
+                        <td id="T_3ad6f_row6_col1" class="data row6 col1" >19/03/10</td>
+                        <td id="T_3ad6f_row6_col2" class="data row6 col2" >$ 1472515.79</td>
+                        <td id="T_3ad6f_row6_col3" class="data row6 col3" >False</td>
+                        <td id="T_3ad6f_row6_col4" class="data row6 col4" >54.58º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row7_col0" class="data row7 col0" >1</td>
-                        <td id="T_c1bb2_row7_col1" class="data row7 col1" >26/03/10</td>
-                        <td id="T_c1bb2_row7_col2" class="data row7 col2" >$ 1404429.92</td>
-                        <td id="T_c1bb2_row7_col3" class="data row7 col3" >False</td>
-                        <td id="T_c1bb2_row7_col4" class="data row7 col4" >51.45º</td>
+                                <td id="T_3ad6f_row7_col0" class="data row7 col0" >1</td>
+                        <td id="T_3ad6f_row7_col1" class="data row7 col1" >26/03/10</td>
+                        <td id="T_3ad6f_row7_col2" class="data row7 col2" >$ 1404429.92</td>
+                        <td id="T_3ad6f_row7_col3" class="data row7 col3" >False</td>
+                        <td id="T_3ad6f_row7_col4" class="data row7 col4" >51.45º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row8_col0" class="data row8 col0" >1</td>
-                        <td id="T_c1bb2_row8_col1" class="data row8 col1" >04/02/10</td>
-                        <td id="T_c1bb2_row8_col2" class="data row8 col2" >$ 1594968.28</td>
-                        <td id="T_c1bb2_row8_col3" class="data row8 col3" >False</td>
-                        <td id="T_c1bb2_row8_col4" class="data row8 col4" >62.27º</td>
+                                <td id="T_3ad6f_row8_col0" class="data row8 col0" >1</td>
+                        <td id="T_3ad6f_row8_col1" class="data row8 col1" >04/02/10</td>
+                        <td id="T_3ad6f_row8_col2" class="data row8 col2" >$ 1594968.28</td>
+                        <td id="T_3ad6f_row8_col3" class="data row8 col3" >False</td>
+                        <td id="T_3ad6f_row8_col4" class="data row8 col4" >62.27º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row9_col0" class="data row9 col0" >1</td>
-                        <td id="T_c1bb2_row9_col1" class="data row9 col1" >04/09/10</td>
-                        <td id="T_c1bb2_row9_col2" class="data row9 col2" >$ 1545418.53</td>
-                        <td id="T_c1bb2_row9_col3" class="data row9 col3" >False</td>
-                        <td id="T_c1bb2_row9_col4" class="data row9 col4" >65.86º</td>
+                                <td id="T_3ad6f_row9_col0" class="data row9 col0" >1</td>
+                        <td id="T_3ad6f_row9_col1" class="data row9 col1" >04/09/10</td>
+                        <td id="T_3ad6f_row9_col2" class="data row9 col2" >$ 1545418.53</td>
+                        <td id="T_3ad6f_row9_col3" class="data row9 col3" >False</td>
+                        <td id="T_3ad6f_row9_col4" class="data row9 col4" >65.86º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row10_col0" class="data row10 col0" >1</td>
-                        <td id="T_c1bb2_row10_col1" class="data row10 col1" >16/04/10</td>
-                        <td id="T_c1bb2_row10_col2" class="data row10 col2" >$ 1466058.28</td>
-                        <td id="T_c1bb2_row10_col3" class="data row10 col3" >False</td>
-                        <td id="T_c1bb2_row10_col4" class="data row10 col4" >66.32º</td>
+                                <td id="T_3ad6f_row10_col0" class="data row10 col0" >1</td>
+                        <td id="T_3ad6f_row10_col1" class="data row10 col1" >16/04/10</td>
+                        <td id="T_3ad6f_row10_col2" class="data row10 col2" >$ 1466058.28</td>
+                        <td id="T_3ad6f_row10_col3" class="data row10 col3" >False</td>
+                        <td id="T_3ad6f_row10_col4" class="data row10 col4" >66.32º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row11_col0" class="data row11 col0" >1</td>
-                        <td id="T_c1bb2_row11_col1" class="data row11 col1" >23/04/10</td>
-                        <td id="T_c1bb2_row11_col2" class="data row11 col2" >$ 1391256.12</td>
-                        <td id="T_c1bb2_row11_col3" class="data row11 col3" >False</td>
-                        <td id="T_c1bb2_row11_col4" class="data row11 col4" >64.84º</td>
+                                <td id="T_3ad6f_row11_col0" class="data row11 col0" >1</td>
+                        <td id="T_3ad6f_row11_col1" class="data row11 col1" >23/04/10</td>
+                        <td id="T_3ad6f_row11_col2" class="data row11 col2" >$ 1391256.12</td>
+                        <td id="T_3ad6f_row11_col3" class="data row11 col3" >False</td>
+                        <td id="T_3ad6f_row11_col4" class="data row11 col4" >64.84º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row12_col0" class="data row12 col0" >1</td>
-                        <td id="T_c1bb2_row12_col1" class="data row12 col1" >30/04/10</td>
-                        <td id="T_c1bb2_row12_col2" class="data row12 col2" >$ 1425100.71</td>
-                        <td id="T_c1bb2_row12_col3" class="data row12 col3" >False</td>
-                        <td id="T_c1bb2_row12_col4" class="data row12 col4" >67.41º</td>
+                                <td id="T_3ad6f_row12_col0" class="data row12 col0" >1</td>
+                        <td id="T_3ad6f_row12_col1" class="data row12 col1" >30/04/10</td>
+                        <td id="T_3ad6f_row12_col2" class="data row12 col2" >$ 1425100.71</td>
+                        <td id="T_3ad6f_row12_col3" class="data row12 col3" >False</td>
+                        <td id="T_3ad6f_row12_col4" class="data row12 col4" >67.41º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row13_col0" class="data row13 col0" >1</td>
-                        <td id="T_c1bb2_row13_col1" class="data row13 col1" >05/07/10</td>
-                        <td id="T_c1bb2_row13_col2" class="data row13 col2" >$ 1603955.12</td>
-                        <td id="T_c1bb2_row13_col3" class="data row13 col3" >False</td>
-                        <td id="T_c1bb2_row13_col4" class="data row13 col4" >72.55º</td>
+                                <td id="T_3ad6f_row13_col0" class="data row13 col0" >1</td>
+                        <td id="T_3ad6f_row13_col1" class="data row13 col1" >05/07/10</td>
+                        <td id="T_3ad6f_row13_col2" class="data row13 col2" >$ 1603955.12</td>
+                        <td id="T_3ad6f_row13_col3" class="data row13 col3" >False</td>
+                        <td id="T_3ad6f_row13_col4" class="data row13 col4" >72.55º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row14_col0" class="data row14 col0" >1</td>
-                        <td id="T_c1bb2_row14_col1" class="data row14 col1" >14/05/10</td>
-                        <td id="T_c1bb2_row14_col2" class="data row14 col2" >$ 1494251.50</td>
-                        <td id="T_c1bb2_row14_col3" class="data row14 col3" >False</td>
-                        <td id="T_c1bb2_row14_col4" class="data row14 col4" >74.78º</td>
+                                <td id="T_3ad6f_row14_col0" class="data row14 col0" >1</td>
+                        <td id="T_3ad6f_row14_col1" class="data row14 col1" >14/05/10</td>
+                        <td id="T_3ad6f_row14_col2" class="data row14 col2" >$ 1494251.50</td>
+                        <td id="T_3ad6f_row14_col3" class="data row14 col3" >False</td>
+                        <td id="T_3ad6f_row14_col4" class="data row14 col4" >74.78º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row15_col0" class="data row15 col0" >1</td>
-                        <td id="T_c1bb2_row15_col1" class="data row15 col1" >21/05/10</td>
-                        <td id="T_c1bb2_row15_col2" class="data row15 col2" >$ 1399662.07</td>
-                        <td id="T_c1bb2_row15_col3" class="data row15 col3" >False</td>
-                        <td id="T_c1bb2_row15_col4" class="data row15 col4" >76.44º</td>
+                                <td id="T_3ad6f_row15_col0" class="data row15 col0" >1</td>
+                        <td id="T_3ad6f_row15_col1" class="data row15 col1" >21/05/10</td>
+                        <td id="T_3ad6f_row15_col2" class="data row15 col2" >$ 1399662.07</td>
+                        <td id="T_3ad6f_row15_col3" class="data row15 col3" >False</td>
+                        <td id="T_3ad6f_row15_col4" class="data row15 col4" >76.44º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row16_col0" class="data row16 col0" >1</td>
-                        <td id="T_c1bb2_row16_col1" class="data row16 col1" >28/05/10</td>
-                        <td id="T_c1bb2_row16_col2" class="data row16 col2" >$ 1432069.95</td>
-                        <td id="T_c1bb2_row16_col3" class="data row16 col3" >False</td>
-                        <td id="T_c1bb2_row16_col4" class="data row16 col4" >80.44º</td>
+                                <td id="T_3ad6f_row16_col0" class="data row16 col0" >1</td>
+                        <td id="T_3ad6f_row16_col1" class="data row16 col1" >28/05/10</td>
+                        <td id="T_3ad6f_row16_col2" class="data row16 col2" >$ 1432069.95</td>
+                        <td id="T_3ad6f_row16_col3" class="data row16 col3" >False</td>
+                        <td id="T_3ad6f_row16_col4" class="data row16 col4" >80.44º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row17_col0" class="data row17 col0" >1</td>
-                        <td id="T_c1bb2_row17_col1" class="data row17 col1" >06/04/10</td>
-                        <td id="T_c1bb2_row17_col2" class="data row17 col2" >$ 1615524.71</td>
-                        <td id="T_c1bb2_row17_col3" class="data row17 col3" >False</td>
-                        <td id="T_c1bb2_row17_col4" class="data row17 col4" >80.69º</td>
+                                <td id="T_3ad6f_row17_col0" class="data row17 col0" >1</td>
+                        <td id="T_3ad6f_row17_col1" class="data row17 col1" >06/04/10</td>
+                        <td id="T_3ad6f_row17_col2" class="data row17 col2" >$ 1615524.71</td>
+                        <td id="T_3ad6f_row17_col3" class="data row17 col3" >False</td>
+                        <td id="T_3ad6f_row17_col4" class="data row17 col4" >80.69º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row18_col0" class="data row18 col0" >1</td>
-                        <td id="T_c1bb2_row18_col1" class="data row18 col1" >06/11/10</td>
-                        <td id="T_c1bb2_row18_col2" class="data row18 col2" >$ 1542561.09</td>
-                        <td id="T_c1bb2_row18_col3" class="data row18 col3" >False</td>
-                        <td id="T_c1bb2_row18_col4" class="data row18 col4" >80.43º</td>
+                                <td id="T_3ad6f_row18_col0" class="data row18 col0" >1</td>
+                        <td id="T_3ad6f_row18_col1" class="data row18 col1" >06/11/10</td>
+                        <td id="T_3ad6f_row18_col2" class="data row18 col2" >$ 1542561.09</td>
+                        <td id="T_3ad6f_row18_col3" class="data row18 col3" >False</td>
+                        <td id="T_3ad6f_row18_col4" class="data row18 col4" >80.43º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row19_col0" class="data row19 col0" >1</td>
-                        <td id="T_c1bb2_row19_col1" class="data row19 col1" >18/06/10</td>
-                        <td id="T_c1bb2_row19_col2" class="data row19 col2" >$ 1503284.06</td>
-                        <td id="T_c1bb2_row19_col3" class="data row19 col3" >False</td>
-                        <td id="T_c1bb2_row19_col4" class="data row19 col4" >84.11º</td>
+                                <td id="T_3ad6f_row19_col0" class="data row19 col0" >1</td>
+                        <td id="T_3ad6f_row19_col1" class="data row19 col1" >18/06/10</td>
+                        <td id="T_3ad6f_row19_col2" class="data row19 col2" >$ 1503284.06</td>
+                        <td id="T_3ad6f_row19_col3" class="data row19 col3" >False</td>
+                        <td id="T_3ad6f_row19_col4" class="data row19 col4" >84.11º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row20_col0" class="data row20 col0" >1</td>
-                        <td id="T_c1bb2_row20_col1" class="data row20 col1" >25/06/10</td>
-                        <td id="T_c1bb2_row20_col2" class="data row20 col2" >$ 1422711.60</td>
-                        <td id="T_c1bb2_row20_col3" class="data row20 col3" >False</td>
-                        <td id="T_c1bb2_row20_col4" class="data row20 col4" >84.34º</td>
+                                <td id="T_3ad6f_row20_col0" class="data row20 col0" >1</td>
+                        <td id="T_3ad6f_row20_col1" class="data row20 col1" >25/06/10</td>
+                        <td id="T_3ad6f_row20_col2" class="data row20 col2" >$ 1422711.60</td>
+                        <td id="T_3ad6f_row20_col3" class="data row20 col3" >False</td>
+                        <td id="T_3ad6f_row20_col4" class="data row20 col4" >84.34º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row21_col0" class="data row21 col0" >1</td>
-                        <td id="T_c1bb2_row21_col1" class="data row21 col1" >07/02/10</td>
-                        <td id="T_c1bb2_row21_col2" class="data row21 col2" >$ 1492418.14</td>
-                        <td id="T_c1bb2_row21_col3" class="data row21 col3" >False</td>
-                        <td id="T_c1bb2_row21_col4" class="data row21 col4" >80.91º</td>
+                                <td id="T_3ad6f_row21_col0" class="data row21 col0" >1</td>
+                        <td id="T_3ad6f_row21_col1" class="data row21 col1" >07/02/10</td>
+                        <td id="T_3ad6f_row21_col2" class="data row21 col2" >$ 1492418.14</td>
+                        <td id="T_3ad6f_row21_col3" class="data row21 col3" >False</td>
+                        <td id="T_3ad6f_row21_col4" class="data row21 col4" >80.91º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row22_col0" class="data row22 col0" >1</td>
-                        <td id="T_c1bb2_row22_col1" class="data row22 col1" >07/09/10</td>
-                        <td id="T_c1bb2_row22_col2" class="data row22 col2" >$ 1546074.18</td>
-                        <td id="T_c1bb2_row22_col3" class="data row22 col3" >False</td>
-                        <td id="T_c1bb2_row22_col4" class="data row22 col4" >80.48º</td>
+                                <td id="T_3ad6f_row22_col0" class="data row22 col0" >1</td>
+                        <td id="T_3ad6f_row22_col1" class="data row22 col1" >07/09/10</td>
+                        <td id="T_3ad6f_row22_col2" class="data row22 col2" >$ 1546074.18</td>
+                        <td id="T_3ad6f_row22_col3" class="data row22 col3" >False</td>
+                        <td id="T_3ad6f_row22_col4" class="data row22 col4" >80.48º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row23_col0" class="data row23 col0" >1</td>
-                        <td id="T_c1bb2_row23_col1" class="data row23 col1" >16/07/10</td>
-                        <td id="T_c1bb2_row23_col2" class="data row23 col2" >$ 1448938.92</td>
-                        <td id="T_c1bb2_row23_col3" class="data row23 col3" >False</td>
-                        <td id="T_c1bb2_row23_col4" class="data row23 col4" >83.15º</td>
+                                <td id="T_3ad6f_row23_col0" class="data row23 col0" >1</td>
+                        <td id="T_3ad6f_row23_col1" class="data row23 col1" >16/07/10</td>
+                        <td id="T_3ad6f_row23_col2" class="data row23 col2" >$ 1448938.92</td>
+                        <td id="T_3ad6f_row23_col3" class="data row23 col3" >False</td>
+                        <td id="T_3ad6f_row23_col4" class="data row23 col4" >83.15º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row24_col0" class="data row24 col0" >1</td>
-                        <td id="T_c1bb2_row24_col1" class="data row24 col1" >23/07/10</td>
-                        <td id="T_c1bb2_row24_col2" class="data row24 col2" >$ 1385065.20</td>
-                        <td id="T_c1bb2_row24_col3" class="data row24 col3" >False</td>
-                        <td id="T_c1bb2_row24_col4" class="data row24 col4" >83.36º</td>
+                                <td id="T_3ad6f_row24_col0" class="data row24 col0" >1</td>
+                        <td id="T_3ad6f_row24_col1" class="data row24 col1" >23/07/10</td>
+                        <td id="T_3ad6f_row24_col2" class="data row24 col2" >$ 1385065.20</td>
+                        <td id="T_3ad6f_row24_col3" class="data row24 col3" >False</td>
+                        <td id="T_3ad6f_row24_col4" class="data row24 col4" >83.36º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row25_col0" class="data row25 col0" >1</td>
-                        <td id="T_c1bb2_row25_col1" class="data row25 col1" >30/07/10</td>
-                        <td id="T_c1bb2_row25_col2" class="data row25 col2" >$ 1371986.60</td>
-                        <td id="T_c1bb2_row25_col3" class="data row25 col3" >False</td>
-                        <td id="T_c1bb2_row25_col4" class="data row25 col4" >81.84º</td>
+                                <td id="T_3ad6f_row25_col0" class="data row25 col0" >1</td>
+                        <td id="T_3ad6f_row25_col1" class="data row25 col1" >30/07/10</td>
+                        <td id="T_3ad6f_row25_col2" class="data row25 col2" >$ 1371986.60</td>
+                        <td id="T_3ad6f_row25_col3" class="data row25 col3" >False</td>
+                        <td id="T_3ad6f_row25_col4" class="data row25 col4" >81.84º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row26_col0" class="data row26 col0" >1</td>
-                        <td id="T_c1bb2_row26_col1" class="data row26 col1" >08/06/10</td>
-                        <td id="T_c1bb2_row26_col2" class="data row26 col2" >$ 1605491.78</td>
-                        <td id="T_c1bb2_row26_col3" class="data row26 col3" >False</td>
-                        <td id="T_c1bb2_row26_col4" class="data row26 col4" >87.16º</td>
+                                <td id="T_3ad6f_row26_col0" class="data row26 col0" >1</td>
+                        <td id="T_3ad6f_row26_col1" class="data row26 col1" >08/06/10</td>
+                        <td id="T_3ad6f_row26_col2" class="data row26 col2" >$ 1605491.78</td>
+                        <td id="T_3ad6f_row26_col3" class="data row26 col3" >False</td>
+                        <td id="T_3ad6f_row26_col4" class="data row26 col4" >87.16º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row27_col0" class="data row27 col0" >1</td>
-                        <td id="T_c1bb2_row27_col1" class="data row27 col1" >13/08/10</td>
-                        <td id="T_c1bb2_row27_col2" class="data row27 col2" >$ 1508237.76</td>
-                        <td id="T_c1bb2_row27_col3" class="data row27 col3" >False</td>
-                        <td id="T_c1bb2_row27_col4" class="data row27 col4" >87.00º</td>
+                                <td id="T_3ad6f_row27_col0" class="data row27 col0" >1</td>
+                        <td id="T_3ad6f_row27_col1" class="data row27 col1" >13/08/10</td>
+                        <td id="T_3ad6f_row27_col2" class="data row27 col2" >$ 1508237.76</td>
+                        <td id="T_3ad6f_row27_col3" class="data row27 col3" >False</td>
+                        <td id="T_3ad6f_row27_col4" class="data row27 col4" >87.00º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row28_col0" class="data row28 col0" >1</td>
-                        <td id="T_c1bb2_row28_col1" class="data row28 col1" >20/08/10</td>
-                        <td id="T_c1bb2_row28_col2" class="data row28 col2" >$ 1513080.49</td>
-                        <td id="T_c1bb2_row28_col3" class="data row28 col3" >False</td>
-                        <td id="T_c1bb2_row28_col4" class="data row28 col4" >86.65º</td>
+                                <td id="T_3ad6f_row28_col0" class="data row28 col0" >1</td>
+                        <td id="T_3ad6f_row28_col1" class="data row28 col1" >20/08/10</td>
+                        <td id="T_3ad6f_row28_col2" class="data row28 col2" >$ 1513080.49</td>
+                        <td id="T_3ad6f_row28_col3" class="data row28 col3" >False</td>
+                        <td id="T_3ad6f_row28_col4" class="data row28 col4" >86.65º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row29_col0" class="data row29 col0" >1</td>
-                        <td id="T_c1bb2_row29_col1" class="data row29 col1" >27/08/10</td>
-                        <td id="T_c1bb2_row29_col2" class="data row29 col2" >$ 1449142.92</td>
-                        <td id="T_c1bb2_row29_col3" class="data row29 col3" >False</td>
-                        <td id="T_c1bb2_row29_col4" class="data row29 col4" >85.22º</td>
+                                <td id="T_3ad6f_row29_col0" class="data row29 col0" >1</td>
+                        <td id="T_3ad6f_row29_col1" class="data row29 col1" >27/08/10</td>
+                        <td id="T_3ad6f_row29_col2" class="data row29 col2" >$ 1449142.92</td>
+                        <td id="T_3ad6f_row29_col3" class="data row29 col3" >False</td>
+                        <td id="T_3ad6f_row29_col4" class="data row29 col4" >85.22º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row30_col0" class="data row30 col0" >1</td>
-                        <td id="T_c1bb2_row30_col1" class="data row30 col1" >09/03/10</td>
-                        <td id="T_c1bb2_row30_col2" class="data row30 col2" >$ 1540163.53</td>
-                        <td id="T_c1bb2_row30_col3" class="data row30 col3" >False</td>
-                        <td id="T_c1bb2_row30_col4" class="data row30 col4" >81.21º</td>
+                                <td id="T_3ad6f_row30_col0" class="data row30 col0" >1</td>
+                        <td id="T_3ad6f_row30_col1" class="data row30 col1" >09/03/10</td>
+                        <td id="T_3ad6f_row30_col2" class="data row30 col2" >$ 1540163.53</td>
+                        <td id="T_3ad6f_row30_col3" class="data row30 col3" >False</td>
+                        <td id="T_3ad6f_row30_col4" class="data row30 col4" >81.21º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row31_col0" class="data row31 col0" >1</td>
-                        <td id="T_c1bb2_row31_col1" class="data row31 col1" >09/10/10</td>
-                        <td id="T_c1bb2_row31_col2" class="data row31 col2" >$ 1507460.69</td>
-                        <td id="T_c1bb2_row31_col3" class="data row31 col3" >True</td>
-                        <td id="T_c1bb2_row31_col4" class="data row31 col4" >78.69º</td>
+                                <td id="T_3ad6f_row31_col0" class="data row31 col0" >1</td>
+                        <td id="T_3ad6f_row31_col1" class="data row31 col1" >09/10/10</td>
+                        <td id="T_3ad6f_row31_col2" class="data row31 col2" >$ 1507460.69</td>
+                        <td id="T_3ad6f_row31_col3" class="data row31 col3" >True</td>
+                        <td id="T_3ad6f_row31_col4" class="data row31 col4" >78.69º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row32_col0" class="data row32 col0" >1</td>
-                        <td id="T_c1bb2_row32_col1" class="data row32 col1" >17/09/10</td>
-                        <td id="T_c1bb2_row32_col2" class="data row32 col2" >$ 1430378.67</td>
-                        <td id="T_c1bb2_row32_col3" class="data row32 col3" >False</td>
-                        <td id="T_c1bb2_row32_col4" class="data row32 col4" >82.11º</td>
+                                <td id="T_3ad6f_row32_col0" class="data row32 col0" >1</td>
+                        <td id="T_3ad6f_row32_col1" class="data row32 col1" >17/09/10</td>
+                        <td id="T_3ad6f_row32_col2" class="data row32 col2" >$ 1430378.67</td>
+                        <td id="T_3ad6f_row32_col3" class="data row32 col3" >False</td>
+                        <td id="T_3ad6f_row32_col4" class="data row32 col4" >82.11º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row33_col0" class="data row33 col0" >1</td>
-                        <td id="T_c1bb2_row33_col1" class="data row33 col1" >24/09/10</td>
-                        <td id="T_c1bb2_row33_col2" class="data row33 col2" >$ 1351791.03</td>
-                        <td id="T_c1bb2_row33_col3" class="data row33 col3" >False</td>
-                        <td id="T_c1bb2_row33_col4" class="data row33 col4" >80.94º</td>
+                                <td id="T_3ad6f_row33_col0" class="data row33 col0" >1</td>
+                        <td id="T_3ad6f_row33_col1" class="data row33 col1" >24/09/10</td>
+                        <td id="T_3ad6f_row33_col2" class="data row33 col2" >$ 1351791.03</td>
+                        <td id="T_3ad6f_row33_col3" class="data row33 col3" >False</td>
+                        <td id="T_3ad6f_row33_col4" class="data row33 col4" >80.94º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row34_col0" class="data row34 col0" >1</td>
-                        <td id="T_c1bb2_row34_col1" class="data row34 col1" >10/01/10</td>
-                        <td id="T_c1bb2_row34_col2" class="data row34 col2" >$ 1453329.50</td>
-                        <td id="T_c1bb2_row34_col3" class="data row34 col3" >False</td>
-                        <td id="T_c1bb2_row34_col4" class="data row34 col4" >71.89º</td>
+                                <td id="T_3ad6f_row34_col0" class="data row34 col0" >1</td>
+                        <td id="T_3ad6f_row34_col1" class="data row34 col1" >10/01/10</td>
+                        <td id="T_3ad6f_row34_col2" class="data row34 col2" >$ 1453329.50</td>
+                        <td id="T_3ad6f_row34_col3" class="data row34 col3" >False</td>
+                        <td id="T_3ad6f_row34_col4" class="data row34 col4" >71.89º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row35_col0" class="data row35 col0" >1</td>
-                        <td id="T_c1bb2_row35_col1" class="data row35 col1" >10/08/10</td>
-                        <td id="T_c1bb2_row35_col2" class="data row35 col2" >$ 1508239.93</td>
-                        <td id="T_c1bb2_row35_col3" class="data row35 col3" >False</td>
-                        <td id="T_c1bb2_row35_col4" class="data row35 col4" >63.93º</td>
+                                <td id="T_3ad6f_row35_col0" class="data row35 col0" >1</td>
+                        <td id="T_3ad6f_row35_col1" class="data row35 col1" >10/08/10</td>
+                        <td id="T_3ad6f_row35_col2" class="data row35 col2" >$ 1508239.93</td>
+                        <td id="T_3ad6f_row35_col3" class="data row35 col3" >False</td>
+                        <td id="T_3ad6f_row35_col4" class="data row35 col4" >63.93º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row36_col0" class="data row36 col0" >1</td>
-                        <td id="T_c1bb2_row36_col1" class="data row36 col1" >15/10/10</td>
-                        <td id="T_c1bb2_row36_col2" class="data row36 col2" >$ 1459409.10</td>
-                        <td id="T_c1bb2_row36_col3" class="data row36 col3" >False</td>
-                        <td id="T_c1bb2_row36_col4" class="data row36 col4" >67.18º</td>
+                                <td id="T_3ad6f_row36_col0" class="data row36 col0" >1</td>
+                        <td id="T_3ad6f_row36_col1" class="data row36 col1" >15/10/10</td>
+                        <td id="T_3ad6f_row36_col2" class="data row36 col2" >$ 1459409.10</td>
+                        <td id="T_3ad6f_row36_col3" class="data row36 col3" >False</td>
+                        <td id="T_3ad6f_row36_col4" class="data row36 col4" >67.18º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row37_col0" class="data row37 col0" >1</td>
-                        <td id="T_c1bb2_row37_col1" class="data row37 col1" >22/10/10</td>
-                        <td id="T_c1bb2_row37_col2" class="data row37 col2" >$ 1345454.00</td>
-                        <td id="T_c1bb2_row37_col3" class="data row37 col3" >False</td>
-                        <td id="T_c1bb2_row37_col4" class="data row37 col4" >69.86º</td>
+                                <td id="T_3ad6f_row37_col0" class="data row37 col0" >1</td>
+                        <td id="T_3ad6f_row37_col1" class="data row37 col1" >22/10/10</td>
+                        <td id="T_3ad6f_row37_col2" class="data row37 col2" >$ 1345454.00</td>
+                        <td id="T_3ad6f_row37_col3" class="data row37 col3" >False</td>
+                        <td id="T_3ad6f_row37_col4" class="data row37 col4" >69.86º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row38_col0" class="data row38 col0" >1</td>
-                        <td id="T_c1bb2_row38_col1" class="data row38 col1" >29/10/10</td>
-                        <td id="T_c1bb2_row38_col2" class="data row38 col2" >$ 1384209.22</td>
-                        <td id="T_c1bb2_row38_col3" class="data row38 col3" >False</td>
-                        <td id="T_c1bb2_row38_col4" class="data row38 col4" >69.64º</td>
+                                <td id="T_3ad6f_row38_col0" class="data row38 col0" >1</td>
+                        <td id="T_3ad6f_row38_col1" class="data row38 col1" >29/10/10</td>
+                        <td id="T_3ad6f_row38_col2" class="data row38 col2" >$ 1384209.22</td>
+                        <td id="T_3ad6f_row38_col3" class="data row38 col3" >False</td>
+                        <td id="T_3ad6f_row38_col4" class="data row38 col4" >69.64º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row39_col0" class="data row39 col0" >1</td>
-                        <td id="T_c1bb2_row39_col1" class="data row39 col1" >11/05/10</td>
-                        <td id="T_c1bb2_row39_col2" class="data row39 col2" >$ 1551659.28</td>
-                        <td id="T_c1bb2_row39_col3" class="data row39 col3" >False</td>
-                        <td id="T_c1bb2_row39_col4" class="data row39 col4" >58.74º</td>
+                                <td id="T_3ad6f_row39_col0" class="data row39 col0" >1</td>
+                        <td id="T_3ad6f_row39_col1" class="data row39 col1" >11/05/10</td>
+                        <td id="T_3ad6f_row39_col2" class="data row39 col2" >$ 1551659.28</td>
+                        <td id="T_3ad6f_row39_col3" class="data row39 col3" >False</td>
+                        <td id="T_3ad6f_row39_col4" class="data row39 col4" >58.74º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row40_col0" class="data row40 col0" >1</td>
-                        <td id="T_c1bb2_row40_col1" class="data row40 col1" >11/12/10</td>
-                        <td id="T_c1bb2_row40_col2" class="data row40 col2" >$ 1494479.49</td>
-                        <td id="T_c1bb2_row40_col3" class="data row40 col3" >False</td>
-                        <td id="T_c1bb2_row40_col4" class="data row40 col4" >59.61º</td>
+                                <td id="T_3ad6f_row40_col0" class="data row40 col0" >1</td>
+                        <td id="T_3ad6f_row40_col1" class="data row40 col1" >11/12/10</td>
+                        <td id="T_3ad6f_row40_col2" class="data row40 col2" >$ 1494479.49</td>
+                        <td id="T_3ad6f_row40_col3" class="data row40 col3" >False</td>
+                        <td id="T_3ad6f_row40_col4" class="data row40 col4" >59.61º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row41_col0" class="data row41 col0" >1</td>
-                        <td id="T_c1bb2_row41_col1" class="data row41 col1" >19/11/10</td>
-                        <td id="T_c1bb2_row41_col2" class="data row41 col2" >$ 1483784.18</td>
-                        <td id="T_c1bb2_row41_col3" class="data row41 col3" >False</td>
-                        <td id="T_c1bb2_row41_col4" class="data row41 col4" >51.41º</td>
+                                <td id="T_3ad6f_row41_col0" class="data row41 col0" >1</td>
+                        <td id="T_3ad6f_row41_col1" class="data row41 col1" >19/11/10</td>
+                        <td id="T_3ad6f_row41_col2" class="data row41 col2" >$ 1483784.18</td>
+                        <td id="T_3ad6f_row41_col3" class="data row41 col3" >False</td>
+                        <td id="T_3ad6f_row41_col4" class="data row41 col4" >51.41º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row42_col0" class="data row42 col0" >1</td>
-                        <td id="T_c1bb2_row42_col1" class="data row42 col1" >26/11/10</td>
-                        <td id="T_c1bb2_row42_col2" class="data row42 col2" >$ 1955624.11</td>
-                        <td id="T_c1bb2_row42_col3" class="data row42 col3" >True</td>
-                        <td id="T_c1bb2_row42_col4" class="data row42 col4" >64.52º</td>
+                                <td id="T_3ad6f_row42_col0" class="data row42 col0" >1</td>
+                        <td id="T_3ad6f_row42_col1" class="data row42 col1" >26/11/10</td>
+                        <td id="T_3ad6f_row42_col2" class="data row42 col2" >$ 1955624.11</td>
+                        <td id="T_3ad6f_row42_col3" class="data row42 col3" >True</td>
+                        <td id="T_3ad6f_row42_col4" class="data row42 col4" >64.52º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row43_col0" class="data row43 col0" >1</td>
-                        <td id="T_c1bb2_row43_col1" class="data row43 col1" >12/03/10</td>
-                        <td id="T_c1bb2_row43_col2" class="data row43 col2" >$ 1548033.78</td>
-                        <td id="T_c1bb2_row43_col3" class="data row43 col3" >False</td>
-                        <td id="T_c1bb2_row43_col4" class="data row43 col4" >49.27º</td>
+                                <td id="T_3ad6f_row43_col0" class="data row43 col0" >1</td>
+                        <td id="T_3ad6f_row43_col1" class="data row43 col1" >12/03/10</td>
+                        <td id="T_3ad6f_row43_col2" class="data row43 col2" >$ 1548033.78</td>
+                        <td id="T_3ad6f_row43_col3" class="data row43 col3" >False</td>
+                        <td id="T_3ad6f_row43_col4" class="data row43 col4" >49.27º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row44_col0" class="data row44 col0" >1</td>
-                        <td id="T_c1bb2_row44_col1" class="data row44 col1" >12/10/10</td>
-                        <td id="T_c1bb2_row44_col2" class="data row44 col2" >$ 1682614.26</td>
-                        <td id="T_c1bb2_row44_col3" class="data row44 col3" >False</td>
-                        <td id="T_c1bb2_row44_col4" class="data row44 col4" >46.33º</td>
+                                <td id="T_3ad6f_row44_col0" class="data row44 col0" >1</td>
+                        <td id="T_3ad6f_row44_col1" class="data row44 col1" >12/10/10</td>
+                        <td id="T_3ad6f_row44_col2" class="data row44 col2" >$ 1682614.26</td>
+                        <td id="T_3ad6f_row44_col3" class="data row44 col3" >False</td>
+                        <td id="T_3ad6f_row44_col4" class="data row44 col4" >46.33º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row45_col0" class="data row45 col0" >1</td>
-                        <td id="T_c1bb2_row45_col1" class="data row45 col1" >17/12/10</td>
-                        <td id="T_c1bb2_row45_col2" class="data row45 col2" >$ 1891034.93</td>
-                        <td id="T_c1bb2_row45_col3" class="data row45 col3" >False</td>
-                        <td id="T_c1bb2_row45_col4" class="data row45 col4" >49.84º</td>
+                                <td id="T_3ad6f_row45_col0" class="data row45 col0" >1</td>
+                        <td id="T_3ad6f_row45_col1" class="data row45 col1" >17/12/10</td>
+                        <td id="T_3ad6f_row45_col2" class="data row45 col2" >$ 1891034.93</td>
+                        <td id="T_3ad6f_row45_col3" class="data row45 col3" >False</td>
+                        <td id="T_3ad6f_row45_col4" class="data row45 col4" >49.84º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row46_col0" class="data row46 col0" >1</td>
-                        <td id="T_c1bb2_row46_col1" class="data row46 col1" >24/12/10</td>
-                        <td id="T_c1bb2_row46_col2" class="data row46 col2" >$ 2387950.20</td>
-                        <td id="T_c1bb2_row46_col3" class="data row46 col3" >False</td>
-                        <td id="T_c1bb2_row46_col4" class="data row46 col4" >52.33º</td>
+                                <td id="T_3ad6f_row46_col0" class="data row46 col0" >1</td>
+                        <td id="T_3ad6f_row46_col1" class="data row46 col1" >24/12/10</td>
+                        <td id="T_3ad6f_row46_col2" class="data row46 col2" >$ 2387950.20</td>
+                        <td id="T_3ad6f_row46_col3" class="data row46 col3" >False</td>
+                        <td id="T_3ad6f_row46_col4" class="data row46 col4" >52.33º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row47_col0" class="data row47 col0" >1</td>
-                        <td id="T_c1bb2_row47_col1" class="data row47 col1" >31/12/10</td>
-                        <td id="T_c1bb2_row47_col2" class="data row47 col2" >$ 1367320.01</td>
-                        <td id="T_c1bb2_row47_col3" class="data row47 col3" >True</td>
-                        <td id="T_c1bb2_row47_col4" class="data row47 col4" >48.43º</td>
+                                <td id="T_3ad6f_row47_col0" class="data row47 col0" >1</td>
+                        <td id="T_3ad6f_row47_col1" class="data row47 col1" >31/12/10</td>
+                        <td id="T_3ad6f_row47_col2" class="data row47 col2" >$ 1367320.01</td>
+                        <td id="T_3ad6f_row47_col3" class="data row47 col3" >True</td>
+                        <td id="T_3ad6f_row47_col4" class="data row47 col4" >48.43º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row48_col0" class="data row48 col0" >1</td>
-                        <td id="T_c1bb2_row48_col1" class="data row48 col1" >01/07/11</td>
-                        <td id="T_c1bb2_row48_col2" class="data row48 col2" >$ 1444732.28</td>
-                        <td id="T_c1bb2_row48_col3" class="data row48 col3" >False</td>
-                        <td id="T_c1bb2_row48_col4" class="data row48 col4" >48.27º</td>
+                                <td id="T_3ad6f_row48_col0" class="data row48 col0" >1</td>
+                        <td id="T_3ad6f_row48_col1" class="data row48 col1" >01/07/11</td>
+                        <td id="T_3ad6f_row48_col2" class="data row48 col2" >$ 1444732.28</td>
+                        <td id="T_3ad6f_row48_col3" class="data row48 col3" >False</td>
+                        <td id="T_3ad6f_row48_col4" class="data row48 col4" >48.27º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row49_col0" class="data row49 col0" >1</td>
-                        <td id="T_c1bb2_row49_col1" class="data row49 col1" >14/01/11</td>
-                        <td id="T_c1bb2_row49_col2" class="data row49 col2" >$ 1391013.96</td>
-                        <td id="T_c1bb2_row49_col3" class="data row49 col3" >False</td>
-                        <td id="T_c1bb2_row49_col4" class="data row49 col4" >35.40º</td>
+                                <td id="T_3ad6f_row49_col0" class="data row49 col0" >1</td>
+                        <td id="T_3ad6f_row49_col1" class="data row49 col1" >14/01/11</td>
+                        <td id="T_3ad6f_row49_col2" class="data row49 col2" >$ 1391013.96</td>
+                        <td id="T_3ad6f_row49_col3" class="data row49 col3" >False</td>
+                        <td id="T_3ad6f_row49_col4" class="data row49 col4" >35.40º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row50_col0" class="data row50 col0" >1</td>
-                        <td id="T_c1bb2_row50_col1" class="data row50 col1" >21/01/11</td>
-                        <td id="T_c1bb2_row50_col2" class="data row50 col2" >$ 1327405.42</td>
-                        <td id="T_c1bb2_row50_col3" class="data row50 col3" >False</td>
-                        <td id="T_c1bb2_row50_col4" class="data row50 col4" >44.04º</td>
+                                <td id="T_3ad6f_row50_col0" class="data row50 col0" >1</td>
+                        <td id="T_3ad6f_row50_col1" class="data row50 col1" >21/01/11</td>
+                        <td id="T_3ad6f_row50_col2" class="data row50 col2" >$ 1327405.42</td>
+                        <td id="T_3ad6f_row50_col3" class="data row50 col3" >False</td>
+                        <td id="T_3ad6f_row50_col4" class="data row50 col4" >44.04º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row51_col0" class="data row51 col0" >1</td>
-                        <td id="T_c1bb2_row51_col1" class="data row51 col1" >28/01/11</td>
-                        <td id="T_c1bb2_row51_col2" class="data row51 col2" >$ 1316899.31</td>
-                        <td id="T_c1bb2_row51_col3" class="data row51 col3" >False</td>
-                        <td id="T_c1bb2_row51_col4" class="data row51 col4" >43.83º</td>
+                                <td id="T_3ad6f_row51_col0" class="data row51 col0" >1</td>
+                        <td id="T_3ad6f_row51_col1" class="data row51 col1" >28/01/11</td>
+                        <td id="T_3ad6f_row51_col2" class="data row51 col2" >$ 1316899.31</td>
+                        <td id="T_3ad6f_row51_col3" class="data row51 col3" >False</td>
+                        <td id="T_3ad6f_row51_col4" class="data row51 col4" >43.83º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row52_col0" class="data row52 col0" >1</td>
-                        <td id="T_c1bb2_row52_col1" class="data row52 col1" >02/04/11</td>
-                        <td id="T_c1bb2_row52_col2" class="data row52 col2" >$ 1606629.58</td>
-                        <td id="T_c1bb2_row52_col3" class="data row52 col3" >False</td>
-                        <td id="T_c1bb2_row52_col4" class="data row52 col4" >42.27º</td>
+                                <td id="T_3ad6f_row52_col0" class="data row52 col0" >1</td>
+                        <td id="T_3ad6f_row52_col1" class="data row52 col1" >02/04/11</td>
+                        <td id="T_3ad6f_row52_col2" class="data row52 col2" >$ 1606629.58</td>
+                        <td id="T_3ad6f_row52_col3" class="data row52 col3" >False</td>
+                        <td id="T_3ad6f_row52_col4" class="data row52 col4" >42.27º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row53_col0" class="data row53 col0" >1</td>
-                        <td id="T_c1bb2_row53_col1" class="data row53 col1" >02/11/11</td>
-                        <td id="T_c1bb2_row53_col2" class="data row53 col2" >$ 1649614.93</td>
-                        <td id="T_c1bb2_row53_col3" class="data row53 col3" >True</td>
-                        <td id="T_c1bb2_row53_col4" class="data row53 col4" >36.39º</td>
+                                <td id="T_3ad6f_row53_col0" class="data row53 col0" >1</td>
+                        <td id="T_3ad6f_row53_col1" class="data row53 col1" >02/11/11</td>
+                        <td id="T_3ad6f_row53_col2" class="data row53 col2" >$ 1649614.93</td>
+                        <td id="T_3ad6f_row53_col3" class="data row53 col3" >True</td>
+                        <td id="T_3ad6f_row53_col4" class="data row53 col4" >36.39º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row54_col0" class="data row54 col0" >1</td>
-                        <td id="T_c1bb2_row54_col1" class="data row54 col1" >18/02/11</td>
-                        <td id="T_c1bb2_row54_col2" class="data row54 col2" >$ 1686842.78</td>
-                        <td id="T_c1bb2_row54_col3" class="data row54 col3" >False</td>
-                        <td id="T_c1bb2_row54_col4" class="data row54 col4" >57.36º</td>
+                                <td id="T_3ad6f_row54_col0" class="data row54 col0" >1</td>
+                        <td id="T_3ad6f_row54_col1" class="data row54 col1" >18/02/11</td>
+                        <td id="T_3ad6f_row54_col2" class="data row54 col2" >$ 1686842.78</td>
+                        <td id="T_3ad6f_row54_col3" class="data row54 col3" >False</td>
+                        <td id="T_3ad6f_row54_col4" class="data row54 col4" >57.36º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row55_col0" class="data row55 col0" >1</td>
-                        <td id="T_c1bb2_row55_col1" class="data row55 col1" >25/02/11</td>
-                        <td id="T_c1bb2_row55_col2" class="data row55 col2" >$ 1456800.28</td>
-                        <td id="T_c1bb2_row55_col3" class="data row55 col3" >False</td>
-                        <td id="T_c1bb2_row55_col4" class="data row55 col4" >62.90º</td>
+                                <td id="T_3ad6f_row55_col0" class="data row55 col0" >1</td>
+                        <td id="T_3ad6f_row55_col1" class="data row55 col1" >25/02/11</td>
+                        <td id="T_3ad6f_row55_col2" class="data row55 col2" >$ 1456800.28</td>
+                        <td id="T_3ad6f_row55_col3" class="data row55 col3" >False</td>
+                        <td id="T_3ad6f_row55_col4" class="data row55 col4" >62.90º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row56_col0" class="data row56 col0" >1</td>
-                        <td id="T_c1bb2_row56_col1" class="data row56 col1" >03/04/11</td>
-                        <td id="T_c1bb2_row56_col2" class="data row56 col2" >$ 1636263.41</td>
-                        <td id="T_c1bb2_row56_col3" class="data row56 col3" >False</td>
-                        <td id="T_c1bb2_row56_col4" class="data row56 col4" >59.58º</td>
+                                <td id="T_3ad6f_row56_col0" class="data row56 col0" >1</td>
+                        <td id="T_3ad6f_row56_col1" class="data row56 col1" >03/04/11</td>
+                        <td id="T_3ad6f_row56_col2" class="data row56 col2" >$ 1636263.41</td>
+                        <td id="T_3ad6f_row56_col3" class="data row56 col3" >False</td>
+                        <td id="T_3ad6f_row56_col4" class="data row56 col4" >59.58º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row57_col0" class="data row57 col0" >1</td>
-                        <td id="T_c1bb2_row57_col1" class="data row57 col1" >03/11/11</td>
-                        <td id="T_c1bb2_row57_col2" class="data row57 col2" >$ 1553191.63</td>
-                        <td id="T_c1bb2_row57_col3" class="data row57 col3" >False</td>
-                        <td id="T_c1bb2_row57_col4" class="data row57 col4" >53.56º</td>
+                                <td id="T_3ad6f_row57_col0" class="data row57 col0" >1</td>
+                        <td id="T_3ad6f_row57_col1" class="data row57 col1" >03/11/11</td>
+                        <td id="T_3ad6f_row57_col2" class="data row57 col2" >$ 1553191.63</td>
+                        <td id="T_3ad6f_row57_col3" class="data row57 col3" >False</td>
+                        <td id="T_3ad6f_row57_col4" class="data row57 col4" >53.56º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row58_col0" class="data row58 col0" >1</td>
-                        <td id="T_c1bb2_row58_col1" class="data row58 col1" >18/03/11</td>
-                        <td id="T_c1bb2_row58_col2" class="data row58 col2" >$ 1576818.06</td>
-                        <td id="T_c1bb2_row58_col3" class="data row58 col3" >False</td>
-                        <td id="T_c1bb2_row58_col4" class="data row58 col4" >62.76º</td>
+                                <td id="T_3ad6f_row58_col0" class="data row58 col0" >1</td>
+                        <td id="T_3ad6f_row58_col1" class="data row58 col1" >18/03/11</td>
+                        <td id="T_3ad6f_row58_col2" class="data row58 col2" >$ 1576818.06</td>
+                        <td id="T_3ad6f_row58_col3" class="data row58 col3" >False</td>
+                        <td id="T_3ad6f_row58_col4" class="data row58 col4" >62.76º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row59_col0" class="data row59 col0" >1</td>
-                        <td id="T_c1bb2_row59_col1" class="data row59 col1" >25/03/11</td>
-                        <td id="T_c1bb2_row59_col2" class="data row59 col2" >$ 1541102.38</td>
-                        <td id="T_c1bb2_row59_col3" class="data row59 col3" >False</td>
-                        <td id="T_c1bb2_row59_col4" class="data row59 col4" >69.97º</td>
+                                <td id="T_3ad6f_row59_col0" class="data row59 col0" >1</td>
+                        <td id="T_3ad6f_row59_col1" class="data row59 col1" >25/03/11</td>
+                        <td id="T_3ad6f_row59_col2" class="data row59 col2" >$ 1541102.38</td>
+                        <td id="T_3ad6f_row59_col3" class="data row59 col3" >False</td>
+                        <td id="T_3ad6f_row59_col4" class="data row59 col4" >69.97º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row60_col0" class="data row60 col0" >1</td>
-                        <td id="T_c1bb2_row60_col1" class="data row60 col1" >04/01/11</td>
-                        <td id="T_c1bb2_row60_col2" class="data row60 col2" >$ 1495064.75</td>
-                        <td id="T_c1bb2_row60_col3" class="data row60 col3" >False</td>
-                        <td id="T_c1bb2_row60_col4" class="data row60 col4" >59.17º</td>
+                                <td id="T_3ad6f_row60_col0" class="data row60 col0" >1</td>
+                        <td id="T_3ad6f_row60_col1" class="data row60 col1" >04/01/11</td>
+                        <td id="T_3ad6f_row60_col2" class="data row60 col2" >$ 1495064.75</td>
+                        <td id="T_3ad6f_row60_col3" class="data row60 col3" >False</td>
+                        <td id="T_3ad6f_row60_col4" class="data row60 col4" >59.17º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row61_col0" class="data row61 col0" >1</td>
-                        <td id="T_c1bb2_row61_col1" class="data row61 col1" >04/08/11</td>
-                        <td id="T_c1bb2_row61_col2" class="data row61 col2" >$ 1614259.35</td>
-                        <td id="T_c1bb2_row61_col3" class="data row61 col3" >False</td>
-                        <td id="T_c1bb2_row61_col4" class="data row61 col4" >67.84º</td>
+                                <td id="T_3ad6f_row61_col0" class="data row61 col0" >1</td>
+                        <td id="T_3ad6f_row61_col1" class="data row61 col1" >04/08/11</td>
+                        <td id="T_3ad6f_row61_col2" class="data row61 col2" >$ 1614259.35</td>
+                        <td id="T_3ad6f_row61_col3" class="data row61 col3" >False</td>
+                        <td id="T_3ad6f_row61_col4" class="data row61 col4" >67.84º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row62_col0" class="data row62 col0" >1</td>
-                        <td id="T_c1bb2_row62_col1" class="data row62 col1" >15/04/11</td>
-                        <td id="T_c1bb2_row62_col2" class="data row62 col2" >$ 1559889.00</td>
-                        <td id="T_c1bb2_row62_col3" class="data row62 col3" >False</td>
-                        <td id="T_c1bb2_row62_col4" class="data row62 col4" >71.27º</td>
+                                <td id="T_3ad6f_row62_col0" class="data row62 col0" >1</td>
+                        <td id="T_3ad6f_row62_col1" class="data row62 col1" >15/04/11</td>
+                        <td id="T_3ad6f_row62_col2" class="data row62 col2" >$ 1559889.00</td>
+                        <td id="T_3ad6f_row62_col3" class="data row62 col3" >False</td>
+                        <td id="T_3ad6f_row62_col4" class="data row62 col4" >71.27º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row63_col0" class="data row63 col0" >1</td>
-                        <td id="T_c1bb2_row63_col1" class="data row63 col1" >22/04/11</td>
-                        <td id="T_c1bb2_row63_col2" class="data row63 col2" >$ 1564819.81</td>
-                        <td id="T_c1bb2_row63_col3" class="data row63 col3" >False</td>
-                        <td id="T_c1bb2_row63_col4" class="data row63 col4" >72.99º</td>
+                                <td id="T_3ad6f_row63_col0" class="data row63 col0" >1</td>
+                        <td id="T_3ad6f_row63_col1" class="data row63 col1" >22/04/11</td>
+                        <td id="T_3ad6f_row63_col2" class="data row63 col2" >$ 1564819.81</td>
+                        <td id="T_3ad6f_row63_col3" class="data row63 col3" >False</td>
+                        <td id="T_3ad6f_row63_col4" class="data row63 col4" >72.99º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row64_col0" class="data row64 col0" >1</td>
-                        <td id="T_c1bb2_row64_col1" class="data row64 col1" >29/04/11</td>
-                        <td id="T_c1bb2_row64_col2" class="data row64 col2" >$ 1455090.69</td>
-                        <td id="T_c1bb2_row64_col3" class="data row64 col3" >False</td>
-                        <td id="T_c1bb2_row64_col4" class="data row64 col4" >72.03º</td>
+                                <td id="T_3ad6f_row64_col0" class="data row64 col0" >1</td>
+                        <td id="T_3ad6f_row64_col1" class="data row64 col1" >29/04/11</td>
+                        <td id="T_3ad6f_row64_col2" class="data row64 col2" >$ 1455090.69</td>
+                        <td id="T_3ad6f_row64_col3" class="data row64 col3" >False</td>
+                        <td id="T_3ad6f_row64_col4" class="data row64 col4" >72.03º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row65_col0" class="data row65 col0" >1</td>
-                        <td id="T_c1bb2_row65_col1" class="data row65 col1" >05/06/11</td>
-                        <td id="T_c1bb2_row65_col2" class="data row65 col2" >$ 1629391.28</td>
-                        <td id="T_c1bb2_row65_col3" class="data row65 col3" >False</td>
-                        <td id="T_c1bb2_row65_col4" class="data row65 col4" >64.61º</td>
+                                <td id="T_3ad6f_row65_col0" class="data row65 col0" >1</td>
+                        <td id="T_3ad6f_row65_col1" class="data row65 col1" >05/06/11</td>
+                        <td id="T_3ad6f_row65_col2" class="data row65 col2" >$ 1629391.28</td>
+                        <td id="T_3ad6f_row65_col3" class="data row65 col3" >False</td>
+                        <td id="T_3ad6f_row65_col4" class="data row65 col4" >64.61º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row66_col0" class="data row66 col0" >1</td>
-                        <td id="T_c1bb2_row66_col1" class="data row66 col1" >13/05/11</td>
-                        <td id="T_c1bb2_row66_col2" class="data row66 col2" >$ 1604775.58</td>
-                        <td id="T_c1bb2_row66_col3" class="data row66 col3" >False</td>
-                        <td id="T_c1bb2_row66_col4" class="data row66 col4" >75.64º</td>
+                                <td id="T_3ad6f_row66_col0" class="data row66 col0" >1</td>
+                        <td id="T_3ad6f_row66_col1" class="data row66 col1" >13/05/11</td>
+                        <td id="T_3ad6f_row66_col2" class="data row66 col2" >$ 1604775.58</td>
+                        <td id="T_3ad6f_row66_col3" class="data row66 col3" >False</td>
+                        <td id="T_3ad6f_row66_col4" class="data row66 col4" >75.64º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row67_col0" class="data row67 col0" >1</td>
-                        <td id="T_c1bb2_row67_col1" class="data row67 col1" >20/05/11</td>
-                        <td id="T_c1bb2_row67_col2" class="data row67 col2" >$ 1428218.27</td>
-                        <td id="T_c1bb2_row67_col3" class="data row67 col3" >False</td>
-                        <td id="T_c1bb2_row67_col4" class="data row67 col4" >67.63º</td>
+                                <td id="T_3ad6f_row67_col0" class="data row67 col0" >1</td>
+                        <td id="T_3ad6f_row67_col1" class="data row67 col1" >20/05/11</td>
+                        <td id="T_3ad6f_row67_col2" class="data row67 col2" >$ 1428218.27</td>
+                        <td id="T_3ad6f_row67_col3" class="data row67 col3" >False</td>
+                        <td id="T_3ad6f_row67_col4" class="data row67 col4" >67.63º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row68_col0" class="data row68 col0" >1</td>
-                        <td id="T_c1bb2_row68_col1" class="data row68 col1" >27/05/11</td>
-                        <td id="T_c1bb2_row68_col2" class="data row68 col2" >$ 1466046.67</td>
-                        <td id="T_c1bb2_row68_col3" class="data row68 col3" >False</td>
-                        <td id="T_c1bb2_row68_col4" class="data row68 col4" >77.72º</td>
+                                <td id="T_3ad6f_row68_col0" class="data row68 col0" >1</td>
+                        <td id="T_3ad6f_row68_col1" class="data row68 col1" >27/05/11</td>
+                        <td id="T_3ad6f_row68_col2" class="data row68 col2" >$ 1466046.67</td>
+                        <td id="T_3ad6f_row68_col3" class="data row68 col3" >False</td>
+                        <td id="T_3ad6f_row68_col4" class="data row68 col4" >77.72º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row69_col0" class="data row69 col0" >1</td>
-                        <td id="T_c1bb2_row69_col1" class="data row69 col1" >06/03/11</td>
-                        <td id="T_c1bb2_row69_col2" class="data row69 col2" >$ 1635078.41</td>
-                        <td id="T_c1bb2_row69_col3" class="data row69 col3" >False</td>
-                        <td id="T_c1bb2_row69_col4" class="data row69 col4" >83.00º</td>
+                                <td id="T_3ad6f_row69_col0" class="data row69 col0" >1</td>
+                        <td id="T_3ad6f_row69_col1" class="data row69 col1" >06/03/11</td>
+                        <td id="T_3ad6f_row69_col2" class="data row69 col2" >$ 1635078.41</td>
+                        <td id="T_3ad6f_row69_col3" class="data row69 col3" >False</td>
+                        <td id="T_3ad6f_row69_col4" class="data row69 col4" >83.00º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row70_col0" class="data row70 col0" >1</td>
-                        <td id="T_c1bb2_row70_col1" class="data row70 col1" >06/10/11</td>
-                        <td id="T_c1bb2_row70_col2" class="data row70 col2" >$ 1588948.32</td>
-                        <td id="T_c1bb2_row70_col3" class="data row70 col3" >False</td>
-                        <td id="T_c1bb2_row70_col4" class="data row70 col4" >83.13º</td>
+                                <td id="T_3ad6f_row70_col0" class="data row70 col0" >1</td>
+                        <td id="T_3ad6f_row70_col1" class="data row70 col1" >06/10/11</td>
+                        <td id="T_3ad6f_row70_col2" class="data row70 col2" >$ 1588948.32</td>
+                        <td id="T_3ad6f_row70_col3" class="data row70 col3" >False</td>
+                        <td id="T_3ad6f_row70_col4" class="data row70 col4" >83.13º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row71_col0" class="data row71 col0" >1</td>
-                        <td id="T_c1bb2_row71_col1" class="data row71 col1" >17/06/11</td>
-                        <td id="T_c1bb2_row71_col2" class="data row71 col2" >$ 1532114.86</td>
-                        <td id="T_c1bb2_row71_col3" class="data row71 col3" >False</td>
-                        <td id="T_c1bb2_row71_col4" class="data row71 col4" >86.41º</td>
+                                <td id="T_3ad6f_row71_col0" class="data row71 col0" >1</td>
+                        <td id="T_3ad6f_row71_col1" class="data row71 col1" >17/06/11</td>
+                        <td id="T_3ad6f_row71_col2" class="data row71 col2" >$ 1532114.86</td>
+                        <td id="T_3ad6f_row71_col3" class="data row71 col3" >False</td>
+                        <td id="T_3ad6f_row71_col4" class="data row71 col4" >86.41º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row72_col0" class="data row72 col0" >1</td>
-                        <td id="T_c1bb2_row72_col1" class="data row72 col1" >24/06/11</td>
-                        <td id="T_c1bb2_row72_col2" class="data row72 col2" >$ 1438830.15</td>
-                        <td id="T_c1bb2_row72_col3" class="data row72 col3" >False</td>
-                        <td id="T_c1bb2_row72_col4" class="data row72 col4" >83.58º</td>
+                                <td id="T_3ad6f_row72_col0" class="data row72 col0" >1</td>
+                        <td id="T_3ad6f_row72_col1" class="data row72 col1" >24/06/11</td>
+                        <td id="T_3ad6f_row72_col2" class="data row72 col2" >$ 1438830.15</td>
+                        <td id="T_3ad6f_row72_col3" class="data row72 col3" >False</td>
+                        <td id="T_3ad6f_row72_col4" class="data row72 col4" >83.58º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row73_col0" class="data row73 col0" >1</td>
-                        <td id="T_c1bb2_row73_col1" class="data row73 col1" >07/01/11</td>
-                        <td id="T_c1bb2_row73_col2" class="data row73 col2" >$ 1488538.09</td>
-                        <td id="T_c1bb2_row73_col3" class="data row73 col3" >False</td>
-                        <td id="T_c1bb2_row73_col4" class="data row73 col4" >85.55º</td>
+                                <td id="T_3ad6f_row73_col0" class="data row73 col0" >1</td>
+                        <td id="T_3ad6f_row73_col1" class="data row73 col1" >07/01/11</td>
+                        <td id="T_3ad6f_row73_col2" class="data row73 col2" >$ 1488538.09</td>
+                        <td id="T_3ad6f_row73_col3" class="data row73 col3" >False</td>
+                        <td id="T_3ad6f_row73_col4" class="data row73 col4" >85.55º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row74_col0" class="data row74 col0" >1</td>
-                        <td id="T_c1bb2_row74_col1" class="data row74 col1" >07/08/11</td>
-                        <td id="T_c1bb2_row74_col2" class="data row74 col2" >$ 1534849.64</td>
-                        <td id="T_c1bb2_row74_col3" class="data row74 col3" >False</td>
-                        <td id="T_c1bb2_row74_col4" class="data row74 col4" >85.83º</td>
+                                <td id="T_3ad6f_row74_col0" class="data row74 col0" >1</td>
+                        <td id="T_3ad6f_row74_col1" class="data row74 col1" >07/08/11</td>
+                        <td id="T_3ad6f_row74_col2" class="data row74 col2" >$ 1534849.64</td>
+                        <td id="T_3ad6f_row74_col3" class="data row74 col3" >False</td>
+                        <td id="T_3ad6f_row74_col4" class="data row74 col4" >85.83º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row75_col0" class="data row75 col0" >1</td>
-                        <td id="T_c1bb2_row75_col1" class="data row75 col1" >15/07/11</td>
-                        <td id="T_c1bb2_row75_col2" class="data row75 col2" >$ 1455119.97</td>
-                        <td id="T_c1bb2_row75_col3" class="data row75 col3" >False</td>
-                        <td id="T_c1bb2_row75_col4" class="data row75 col4" >88.54º</td>
+                                <td id="T_3ad6f_row75_col0" class="data row75 col0" >1</td>
+                        <td id="T_3ad6f_row75_col1" class="data row75 col1" >15/07/11</td>
+                        <td id="T_3ad6f_row75_col2" class="data row75 col2" >$ 1455119.97</td>
+                        <td id="T_3ad6f_row75_col3" class="data row75 col3" >False</td>
+                        <td id="T_3ad6f_row75_col4" class="data row75 col4" >88.54º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row76_col0" class="data row76 col0" >1</td>
-                        <td id="T_c1bb2_row76_col1" class="data row76 col1" >22/07/11</td>
-                        <td id="T_c1bb2_row76_col2" class="data row76 col2" >$ 1396926.82</td>
-                        <td id="T_c1bb2_row76_col3" class="data row76 col3" >False</td>
-                        <td id="T_c1bb2_row76_col4" class="data row76 col4" >85.77º</td>
+                                <td id="T_3ad6f_row76_col0" class="data row76 col0" >1</td>
+                        <td id="T_3ad6f_row76_col1" class="data row76 col1" >22/07/11</td>
+                        <td id="T_3ad6f_row76_col2" class="data row76 col2" >$ 1396926.82</td>
+                        <td id="T_3ad6f_row76_col3" class="data row76 col3" >False</td>
+                        <td id="T_3ad6f_row76_col4" class="data row76 col4" >85.77º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row77_col0" class="data row77 col0" >1</td>
-                        <td id="T_c1bb2_row77_col1" class="data row77 col1" >29/07/11</td>
-                        <td id="T_c1bb2_row77_col2" class="data row77 col2" >$ 1352219.79</td>
-                        <td id="T_c1bb2_row77_col3" class="data row77 col3" >False</td>
-                        <td id="T_c1bb2_row77_col4" class="data row77 col4" >86.83º</td>
+                                <td id="T_3ad6f_row77_col0" class="data row77 col0" >1</td>
+                        <td id="T_3ad6f_row77_col1" class="data row77 col1" >29/07/11</td>
+                        <td id="T_3ad6f_row77_col2" class="data row77 col2" >$ 1352219.79</td>
+                        <td id="T_3ad6f_row77_col3" class="data row77 col3" >False</td>
+                        <td id="T_3ad6f_row77_col4" class="data row77 col4" >86.83º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row78_col0" class="data row78 col0" >1</td>
-                        <td id="T_c1bb2_row78_col1" class="data row78 col1" >08/05/11</td>
-                        <td id="T_c1bb2_row78_col2" class="data row78 col2" >$ 1624383.75</td>
-                        <td id="T_c1bb2_row78_col3" class="data row78 col3" >False</td>
-                        <td id="T_c1bb2_row78_col4" class="data row78 col4" >91.65º</td>
+                                <td id="T_3ad6f_row78_col0" class="data row78 col0" >1</td>
+                        <td id="T_3ad6f_row78_col1" class="data row78 col1" >08/05/11</td>
+                        <td id="T_3ad6f_row78_col2" class="data row78 col2" >$ 1624383.75</td>
+                        <td id="T_3ad6f_row78_col3" class="data row78 col3" >False</td>
+                        <td id="T_3ad6f_row78_col4" class="data row78 col4" >91.65º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row79_col0" class="data row79 col0" >1</td>
-                        <td id="T_c1bb2_row79_col1" class="data row79 col1" >08/12/11</td>
-                        <td id="T_c1bb2_row79_col2" class="data row79 col2" >$ 1525147.09</td>
-                        <td id="T_c1bb2_row79_col3" class="data row79 col3" >False</td>
-                        <td id="T_c1bb2_row79_col4" class="data row79 col4" >90.76º</td>
+                                <td id="T_3ad6f_row79_col0" class="data row79 col0" >1</td>
+                        <td id="T_3ad6f_row79_col1" class="data row79 col1" >08/12/11</td>
+                        <td id="T_3ad6f_row79_col2" class="data row79 col2" >$ 1525147.09</td>
+                        <td id="T_3ad6f_row79_col3" class="data row79 col3" >False</td>
+                        <td id="T_3ad6f_row79_col4" class="data row79 col4" >90.76º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row80_col0" class="data row80 col0" >1</td>
-                        <td id="T_c1bb2_row80_col1" class="data row80 col1" >19/08/11</td>
-                        <td id="T_c1bb2_row80_col2" class="data row80 col2" >$ 1530761.43</td>
-                        <td id="T_c1bb2_row80_col3" class="data row80 col3" >False</td>
-                        <td id="T_c1bb2_row80_col4" class="data row80 col4" >89.94º</td>
+                                <td id="T_3ad6f_row80_col0" class="data row80 col0" >1</td>
+                        <td id="T_3ad6f_row80_col1" class="data row80 col1" >19/08/11</td>
+                        <td id="T_3ad6f_row80_col2" class="data row80 col2" >$ 1530761.43</td>
+                        <td id="T_3ad6f_row80_col3" class="data row80 col3" >False</td>
+                        <td id="T_3ad6f_row80_col4" class="data row80 col4" >89.94º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row81_col0" class="data row81 col0" >1</td>
-                        <td id="T_c1bb2_row81_col1" class="data row81 col1" >26/08/11</td>
-                        <td id="T_c1bb2_row81_col2" class="data row81 col2" >$ 1464693.46</td>
-                        <td id="T_c1bb2_row81_col3" class="data row81 col3" >False</td>
-                        <td id="T_c1bb2_row81_col4" class="data row81 col4" >87.96º</td>
+                                <td id="T_3ad6f_row81_col0" class="data row81 col0" >1</td>
+                        <td id="T_3ad6f_row81_col1" class="data row81 col1" >26/08/11</td>
+                        <td id="T_3ad6f_row81_col2" class="data row81 col2" >$ 1464693.46</td>
+                        <td id="T_3ad6f_row81_col3" class="data row81 col3" >False</td>
+                        <td id="T_3ad6f_row81_col4" class="data row81 col4" >87.96º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row82_col0" class="data row82 col0" >1</td>
-                        <td id="T_c1bb2_row82_col1" class="data row82 col1" >09/02/11</td>
-                        <td id="T_c1bb2_row82_col2" class="data row82 col2" >$ 1550229.22</td>
-                        <td id="T_c1bb2_row82_col3" class="data row82 col3" >False</td>
-                        <td id="T_c1bb2_row82_col4" class="data row82 col4" >87.83º</td>
+                                <td id="T_3ad6f_row82_col0" class="data row82 col0" >1</td>
+                        <td id="T_3ad6f_row82_col1" class="data row82 col1" >09/02/11</td>
+                        <td id="T_3ad6f_row82_col2" class="data row82 col2" >$ 1550229.22</td>
+                        <td id="T_3ad6f_row82_col3" class="data row82 col3" >False</td>
+                        <td id="T_3ad6f_row82_col4" class="data row82 col4" >87.83º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row83_col0" class="data row83 col0" >1</td>
-                        <td id="T_c1bb2_row83_col1" class="data row83 col1" >09/09/11</td>
-                        <td id="T_c1bb2_row83_col2" class="data row83 col2" >$ 1540471.24</td>
-                        <td id="T_c1bb2_row83_col3" class="data row83 col3" >True</td>
-                        <td id="T_c1bb2_row83_col4" class="data row83 col4" >76.00º</td>
+                                <td id="T_3ad6f_row83_col0" class="data row83 col0" >1</td>
+                        <td id="T_3ad6f_row83_col1" class="data row83 col1" >09/09/11</td>
+                        <td id="T_3ad6f_row83_col2" class="data row83 col2" >$ 1540471.24</td>
+                        <td id="T_3ad6f_row83_col3" class="data row83 col3" >True</td>
+                        <td id="T_3ad6f_row83_col4" class="data row83 col4" >76.00º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row84_col0" class="data row84 col0" >1</td>
-                        <td id="T_c1bb2_row84_col1" class="data row84 col1" >16/09/11</td>
-                        <td id="T_c1bb2_row84_col2" class="data row84 col2" >$ 1514259.78</td>
-                        <td id="T_c1bb2_row84_col3" class="data row84 col3" >False</td>
-                        <td id="T_c1bb2_row84_col4" class="data row84 col4" >79.94º</td>
+                                <td id="T_3ad6f_row84_col0" class="data row84 col0" >1</td>
+                        <td id="T_3ad6f_row84_col1" class="data row84 col1" >16/09/11</td>
+                        <td id="T_3ad6f_row84_col2" class="data row84 col2" >$ 1514259.78</td>
+                        <td id="T_3ad6f_row84_col3" class="data row84 col3" >False</td>
+                        <td id="T_3ad6f_row84_col4" class="data row84 col4" >79.94º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row85_col0" class="data row85 col0" >1</td>
-                        <td id="T_c1bb2_row85_col1" class="data row85 col1" >23/09/11</td>
-                        <td id="T_c1bb2_row85_col2" class="data row85 col2" >$ 1380020.27</td>
-                        <td id="T_c1bb2_row85_col3" class="data row85 col3" >False</td>
-                        <td id="T_c1bb2_row85_col4" class="data row85 col4" >75.80º</td>
+                                <td id="T_3ad6f_row85_col0" class="data row85 col0" >1</td>
+                        <td id="T_3ad6f_row85_col1" class="data row85 col1" >23/09/11</td>
+                        <td id="T_3ad6f_row85_col2" class="data row85 col2" >$ 1380020.27</td>
+                        <td id="T_3ad6f_row85_col3" class="data row85 col3" >False</td>
+                        <td id="T_3ad6f_row85_col4" class="data row85 col4" >75.80º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row86_col0" class="data row86 col0" >1</td>
-                        <td id="T_c1bb2_row86_col1" class="data row86 col1" >30/09/11</td>
-                        <td id="T_c1bb2_row86_col2" class="data row86 col2" >$ 1394561.83</td>
-                        <td id="T_c1bb2_row86_col3" class="data row86 col3" >False</td>
-                        <td id="T_c1bb2_row86_col4" class="data row86 col4" >79.69º</td>
+                                <td id="T_3ad6f_row86_col0" class="data row86 col0" >1</td>
+                        <td id="T_3ad6f_row86_col1" class="data row86 col1" >30/09/11</td>
+                        <td id="T_3ad6f_row86_col2" class="data row86 col2" >$ 1394561.83</td>
+                        <td id="T_3ad6f_row86_col3" class="data row86 col3" >False</td>
+                        <td id="T_3ad6f_row86_col4" class="data row86 col4" >79.69º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row87_col0" class="data row87 col0" >1</td>
-                        <td id="T_c1bb2_row87_col1" class="data row87 col1" >10/07/11</td>
-                        <td id="T_c1bb2_row87_col2" class="data row87 col2" >$ 1630989.95</td>
-                        <td id="T_c1bb2_row87_col3" class="data row87 col3" >False</td>
-                        <td id="T_c1bb2_row87_col4" class="data row87 col4" >69.31º</td>
+                                <td id="T_3ad6f_row87_col0" class="data row87 col0" >1</td>
+                        <td id="T_3ad6f_row87_col1" class="data row87 col1" >10/07/11</td>
+                        <td id="T_3ad6f_row87_col2" class="data row87 col2" >$ 1630989.95</td>
+                        <td id="T_3ad6f_row87_col3" class="data row87 col3" >False</td>
+                        <td id="T_3ad6f_row87_col4" class="data row87 col4" >69.31º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row88_col0" class="data row88 col0" >1</td>
-                        <td id="T_c1bb2_row88_col1" class="data row88 col1" >14/10/11</td>
-                        <td id="T_c1bb2_row88_col2" class="data row88 col2" >$ 1493525.93</td>
-                        <td id="T_c1bb2_row88_col3" class="data row88 col3" >False</td>
-                        <td id="T_c1bb2_row88_col4" class="data row88 col4" >71.74º</td>
+                                <td id="T_3ad6f_row88_col0" class="data row88 col0" >1</td>
+                        <td id="T_3ad6f_row88_col1" class="data row88 col1" >14/10/11</td>
+                        <td id="T_3ad6f_row88_col2" class="data row88 col2" >$ 1493525.93</td>
+                        <td id="T_3ad6f_row88_col3" class="data row88 col3" >False</td>
+                        <td id="T_3ad6f_row88_col4" class="data row88 col4" >71.74º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row89_col0" class="data row89 col0" >1</td>
-                        <td id="T_c1bb2_row89_col1" class="data row89 col1" >21/10/11</td>
-                        <td id="T_c1bb2_row89_col2" class="data row89 col2" >$ 1502562.78</td>
-                        <td id="T_c1bb2_row89_col3" class="data row89 col3" >False</td>
-                        <td id="T_c1bb2_row89_col4" class="data row89 col4" >63.71º</td>
+                                <td id="T_3ad6f_row89_col0" class="data row89 col0" >1</td>
+                        <td id="T_3ad6f_row89_col1" class="data row89 col1" >21/10/11</td>
+                        <td id="T_3ad6f_row89_col2" class="data row89 col2" >$ 1502562.78</td>
+                        <td id="T_3ad6f_row89_col3" class="data row89 col3" >False</td>
+                        <td id="T_3ad6f_row89_col4" class="data row89 col4" >63.71º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row90_col0" class="data row90 col0" >1</td>
-                        <td id="T_c1bb2_row90_col1" class="data row90 col1" >28/10/11</td>
-                        <td id="T_c1bb2_row90_col2" class="data row90 col2" >$ 1445249.09</td>
-                        <td id="T_c1bb2_row90_col3" class="data row90 col3" >False</td>
-                        <td id="T_c1bb2_row90_col4" class="data row90 col4" >66.57º</td>
+                                <td id="T_3ad6f_row90_col0" class="data row90 col0" >1</td>
+                        <td id="T_3ad6f_row90_col1" class="data row90 col1" >28/10/11</td>
+                        <td id="T_3ad6f_row90_col2" class="data row90 col2" >$ 1445249.09</td>
+                        <td id="T_3ad6f_row90_col3" class="data row90 col3" >False</td>
+                        <td id="T_3ad6f_row90_col4" class="data row90 col4" >66.57º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row91_col0" class="data row91 col0" >1</td>
-                        <td id="T_c1bb2_row91_col1" class="data row91 col1" >11/04/11</td>
-                        <td id="T_c1bb2_row91_col2" class="data row91 col2" >$ 1697229.58</td>
-                        <td id="T_c1bb2_row91_col3" class="data row91 col3" >False</td>
-                        <td id="T_c1bb2_row91_col4" class="data row91 col4" >54.98º</td>
+                                <td id="T_3ad6f_row91_col0" class="data row91 col0" >1</td>
+                        <td id="T_3ad6f_row91_col1" class="data row91 col1" >11/04/11</td>
+                        <td id="T_3ad6f_row91_col2" class="data row91 col2" >$ 1697229.58</td>
+                        <td id="T_3ad6f_row91_col3" class="data row91 col3" >False</td>
+                        <td id="T_3ad6f_row91_col4" class="data row91 col4" >54.98º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row92_col0" class="data row92 col0" >1</td>
-                        <td id="T_c1bb2_row92_col1" class="data row92 col1" >11/11/11</td>
-                        <td id="T_c1bb2_row92_col2" class="data row92 col2" >$ 1594938.89</td>
-                        <td id="T_c1bb2_row92_col3" class="data row92 col3" >False</td>
-                        <td id="T_c1bb2_row92_col4" class="data row92 col4" >59.11º</td>
+                                <td id="T_3ad6f_row92_col0" class="data row92 col0" >1</td>
+                        <td id="T_3ad6f_row92_col1" class="data row92 col1" >11/11/11</td>
+                        <td id="T_3ad6f_row92_col2" class="data row92 col2" >$ 1594938.89</td>
+                        <td id="T_3ad6f_row92_col3" class="data row92 col3" >False</td>
+                        <td id="T_3ad6f_row92_col4" class="data row92 col4" >59.11º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row93_col0" class="data row93 col0" >1</td>
-                        <td id="T_c1bb2_row93_col1" class="data row93 col1" >18/11/11</td>
-                        <td id="T_c1bb2_row93_col2" class="data row93 col2" >$ 1539483.70</td>
-                        <td id="T_c1bb2_row93_col3" class="data row93 col3" >False</td>
-                        <td id="T_c1bb2_row93_col4" class="data row93 col4" >62.25º</td>
+                                <td id="T_3ad6f_row93_col0" class="data row93 col0" >1</td>
+                        <td id="T_3ad6f_row93_col1" class="data row93 col1" >18/11/11</td>
+                        <td id="T_3ad6f_row93_col2" class="data row93 col2" >$ 1539483.70</td>
+                        <td id="T_3ad6f_row93_col3" class="data row93 col3" >False</td>
+                        <td id="T_3ad6f_row93_col4" class="data row93 col4" >62.25º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row94_col0" class="data row94 col0" >1</td>
-                        <td id="T_c1bb2_row94_col1" class="data row94 col1" >25/11/11</td>
-                        <td id="T_c1bb2_row94_col2" class="data row94 col2" >$ 2033320.66</td>
-                        <td id="T_c1bb2_row94_col3" class="data row94 col3" >True</td>
-                        <td id="T_c1bb2_row94_col4" class="data row94 col4" >60.14º</td>
+                                <td id="T_3ad6f_row94_col0" class="data row94 col0" >1</td>
+                        <td id="T_3ad6f_row94_col1" class="data row94 col1" >25/11/11</td>
+                        <td id="T_3ad6f_row94_col2" class="data row94 col2" >$ 2033320.66</td>
+                        <td id="T_3ad6f_row94_col3" class="data row94 col3" >True</td>
+                        <td id="T_3ad6f_row94_col4" class="data row94 col4" >60.14º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row95_col0" class="data row95 col0" >1</td>
-                        <td id="T_c1bb2_row95_col1" class="data row95 col1" >12/02/11</td>
-                        <td id="T_c1bb2_row95_col2" class="data row95 col2" >$ 1584083.95</td>
-                        <td id="T_c1bb2_row95_col3" class="data row95 col3" >False</td>
-                        <td id="T_c1bb2_row95_col4" class="data row95 col4" >48.91º</td>
+                                <td id="T_3ad6f_row95_col0" class="data row95 col0" >1</td>
+                        <td id="T_3ad6f_row95_col1" class="data row95 col1" >12/02/11</td>
+                        <td id="T_3ad6f_row95_col2" class="data row95 col2" >$ 1584083.95</td>
+                        <td id="T_3ad6f_row95_col3" class="data row95 col3" >False</td>
+                        <td id="T_3ad6f_row95_col4" class="data row95 col4" >48.91º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row96_col0" class="data row96 col0" >1</td>
-                        <td id="T_c1bb2_row96_col1" class="data row96 col1" >12/09/11</td>
-                        <td id="T_c1bb2_row96_col2" class="data row96 col2" >$ 1799682.38</td>
-                        <td id="T_c1bb2_row96_col3" class="data row96 col3" >False</td>
-                        <td id="T_c1bb2_row96_col4" class="data row96 col4" >43.93º</td>
+                                <td id="T_3ad6f_row96_col0" class="data row96 col0" >1</td>
+                        <td id="T_3ad6f_row96_col1" class="data row96 col1" >12/09/11</td>
+                        <td id="T_3ad6f_row96_col2" class="data row96 col2" >$ 1799682.38</td>
+                        <td id="T_3ad6f_row96_col3" class="data row96 col3" >False</td>
+                        <td id="T_3ad6f_row96_col4" class="data row96 col4" >43.93º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row97_col0" class="data row97 col0" >1</td>
-                        <td id="T_c1bb2_row97_col1" class="data row97 col1" >16/12/11</td>
-                        <td id="T_c1bb2_row97_col2" class="data row97 col2" >$ 1881176.67</td>
-                        <td id="T_c1bb2_row97_col3" class="data row97 col3" >False</td>
-                        <td id="T_c1bb2_row97_col4" class="data row97 col4" >51.63º</td>
+                                <td id="T_3ad6f_row97_col0" class="data row97 col0" >1</td>
+                        <td id="T_3ad6f_row97_col1" class="data row97 col1" >16/12/11</td>
+                        <td id="T_3ad6f_row97_col2" class="data row97 col2" >$ 1881176.67</td>
+                        <td id="T_3ad6f_row97_col3" class="data row97 col3" >False</td>
+                        <td id="T_3ad6f_row97_col4" class="data row97 col4" >51.63º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row98_col0" class="data row98 col0" >1</td>
-                        <td id="T_c1bb2_row98_col1" class="data row98 col1" >23/12/11</td>
-                        <td id="T_c1bb2_row98_col2" class="data row98 col2" >$ 2270188.99</td>
-                        <td id="T_c1bb2_row98_col3" class="data row98 col3" >False</td>
-                        <td id="T_c1bb2_row98_col4" class="data row98 col4" >47.96º</td>
+                                <td id="T_3ad6f_row98_col0" class="data row98 col0" >1</td>
+                        <td id="T_3ad6f_row98_col1" class="data row98 col1" >23/12/11</td>
+                        <td id="T_3ad6f_row98_col2" class="data row98 col2" >$ 2270188.99</td>
+                        <td id="T_3ad6f_row98_col3" class="data row98 col3" >False</td>
+                        <td id="T_3ad6f_row98_col4" class="data row98 col4" >47.96º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row99_col0" class="data row99 col0" >1</td>
-                        <td id="T_c1bb2_row99_col1" class="data row99 col1" >30/12/11</td>
-                        <td id="T_c1bb2_row99_col2" class="data row99 col2" >$ 1497462.72</td>
-                        <td id="T_c1bb2_row99_col3" class="data row99 col3" >True</td>
-                        <td id="T_c1bb2_row99_col4" class="data row99 col4" >44.55º</td>
+                                <td id="T_3ad6f_row99_col0" class="data row99 col0" >1</td>
+                        <td id="T_3ad6f_row99_col1" class="data row99 col1" >30/12/11</td>
+                        <td id="T_3ad6f_row99_col2" class="data row99 col2" >$ 1497462.72</td>
+                        <td id="T_3ad6f_row99_col3" class="data row99 col3" >True</td>
+                        <td id="T_3ad6f_row99_col4" class="data row99 col4" >44.55º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row100_col0" class="data row100 col0" >1</td>
-                        <td id="T_c1bb2_row100_col1" class="data row100 col1" >01/06/12</td>
-                        <td id="T_c1bb2_row100_col2" class="data row100 col2" >$ 1550369.92</td>
-                        <td id="T_c1bb2_row100_col3" class="data row100 col3" >False</td>
-                        <td id="T_c1bb2_row100_col4" class="data row100 col4" >49.01º</td>
+                                <td id="T_3ad6f_row100_col0" class="data row100 col0" >1</td>
+                        <td id="T_3ad6f_row100_col1" class="data row100 col1" >01/06/12</td>
+                        <td id="T_3ad6f_row100_col2" class="data row100 col2" >$ 1550369.92</td>
+                        <td id="T_3ad6f_row100_col3" class="data row100 col3" >False</td>
+                        <td id="T_3ad6f_row100_col4" class="data row100 col4" >49.01º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row101_col0" class="data row101 col0" >1</td>
-                        <td id="T_c1bb2_row101_col1" class="data row101 col1" >13/01/12</td>
-                        <td id="T_c1bb2_row101_col2" class="data row101 col2" >$ 1459601.17</td>
-                        <td id="T_c1bb2_row101_col3" class="data row101 col3" >False</td>
-                        <td id="T_c1bb2_row101_col4" class="data row101 col4" >48.53º</td>
+                                <td id="T_3ad6f_row101_col0" class="data row101 col0" >1</td>
+                        <td id="T_3ad6f_row101_col1" class="data row101 col1" >13/01/12</td>
+                        <td id="T_3ad6f_row101_col2" class="data row101 col2" >$ 1459601.17</td>
+                        <td id="T_3ad6f_row101_col3" class="data row101 col3" >False</td>
+                        <td id="T_3ad6f_row101_col4" class="data row101 col4" >48.53º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row102_col0" class="data row102 col0" >1</td>
-                        <td id="T_c1bb2_row102_col1" class="data row102 col1" >20/01/12</td>
-                        <td id="T_c1bb2_row102_col2" class="data row102 col2" >$ 1394393.84</td>
-                        <td id="T_c1bb2_row102_col3" class="data row102 col3" >False</td>
-                        <td id="T_c1bb2_row102_col4" class="data row102 col4" >54.11º</td>
+                                <td id="T_3ad6f_row102_col0" class="data row102 col0" >1</td>
+                        <td id="T_3ad6f_row102_col1" class="data row102 col1" >20/01/12</td>
+                        <td id="T_3ad6f_row102_col2" class="data row102 col2" >$ 1394393.84</td>
+                        <td id="T_3ad6f_row102_col3" class="data row102 col3" >False</td>
+                        <td id="T_3ad6f_row102_col4" class="data row102 col4" >54.11º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row103_col0" class="data row103 col0" >1</td>
-                        <td id="T_c1bb2_row103_col1" class="data row103 col1" >27/01/12</td>
-                        <td id="T_c1bb2_row103_col2" class="data row103 col2" >$ 1319325.59</td>
-                        <td id="T_c1bb2_row103_col3" class="data row103 col3" >False</td>
-                        <td id="T_c1bb2_row103_col4" class="data row103 col4" >54.26º</td>
+                                <td id="T_3ad6f_row103_col0" class="data row103 col0" >1</td>
+                        <td id="T_3ad6f_row103_col1" class="data row103 col1" >27/01/12</td>
+                        <td id="T_3ad6f_row103_col2" class="data row103 col2" >$ 1319325.59</td>
+                        <td id="T_3ad6f_row103_col3" class="data row103 col3" >False</td>
+                        <td id="T_3ad6f_row103_col4" class="data row103 col4" >54.26º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row104_col0" class="data row104 col0" >1</td>
-                        <td id="T_c1bb2_row104_col1" class="data row104 col1" >02/03/12</td>
-                        <td id="T_c1bb2_row104_col2" class="data row104 col2" >$ 1636339.65</td>
-                        <td id="T_c1bb2_row104_col3" class="data row104 col3" >False</td>
-                        <td id="T_c1bb2_row104_col4" class="data row104 col4" >56.55º</td>
+                                <td id="T_3ad6f_row104_col0" class="data row104 col0" >1</td>
+                        <td id="T_3ad6f_row104_col1" class="data row104 col1" >02/03/12</td>
+                        <td id="T_3ad6f_row104_col2" class="data row104 col2" >$ 1636339.65</td>
+                        <td id="T_3ad6f_row104_col3" class="data row104 col3" >False</td>
+                        <td id="T_3ad6f_row104_col4" class="data row104 col4" >56.55º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row105_col0" class="data row105 col0" >1</td>
-                        <td id="T_c1bb2_row105_col1" class="data row105 col1" >02/10/12</td>
-                        <td id="T_c1bb2_row105_col2" class="data row105 col2" >$ 1802477.43</td>
-                        <td id="T_c1bb2_row105_col3" class="data row105 col3" >True</td>
-                        <td id="T_c1bb2_row105_col4" class="data row105 col4" >48.02º</td>
+                                <td id="T_3ad6f_row105_col0" class="data row105 col0" >1</td>
+                        <td id="T_3ad6f_row105_col1" class="data row105 col1" >02/10/12</td>
+                        <td id="T_3ad6f_row105_col2" class="data row105 col2" >$ 1802477.43</td>
+                        <td id="T_3ad6f_row105_col3" class="data row105 col3" >True</td>
+                        <td id="T_3ad6f_row105_col4" class="data row105 col4" >48.02º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row106_col0" class="data row106 col0" >1</td>
-                        <td id="T_c1bb2_row106_col1" class="data row106 col1" >17/02/12</td>
-                        <td id="T_c1bb2_row106_col2" class="data row106 col2" >$ 1819870.00</td>
-                        <td id="T_c1bb2_row106_col3" class="data row106 col3" >False</td>
-                        <td id="T_c1bb2_row106_col4" class="data row106 col4" >45.32º</td>
+                                <td id="T_3ad6f_row106_col0" class="data row106 col0" >1</td>
+                        <td id="T_3ad6f_row106_col1" class="data row106 col1" >17/02/12</td>
+                        <td id="T_3ad6f_row106_col2" class="data row106 col2" >$ 1819870.00</td>
+                        <td id="T_3ad6f_row106_col3" class="data row106 col3" >False</td>
+                        <td id="T_3ad6f_row106_col4" class="data row106 col4" >45.32º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row107_col0" class="data row107 col0" >1</td>
-                        <td id="T_c1bb2_row107_col1" class="data row107 col1" >24/02/12</td>
-                        <td id="T_c1bb2_row107_col2" class="data row107 col2" >$ 1539387.83</td>
-                        <td id="T_c1bb2_row107_col3" class="data row107 col3" >False</td>
-                        <td id="T_c1bb2_row107_col4" class="data row107 col4" >57.25º</td>
+                                <td id="T_3ad6f_row107_col0" class="data row107 col0" >1</td>
+                        <td id="T_3ad6f_row107_col1" class="data row107 col1" >24/02/12</td>
+                        <td id="T_3ad6f_row107_col2" class="data row107 col2" >$ 1539387.83</td>
+                        <td id="T_3ad6f_row107_col3" class="data row107 col3" >False</td>
+                        <td id="T_3ad6f_row107_col4" class="data row107 col4" >57.25º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row108_col0" class="data row108 col0" >1</td>
-                        <td id="T_c1bb2_row108_col1" class="data row108 col1" >03/02/12</td>
-                        <td id="T_c1bb2_row108_col2" class="data row108 col2" >$ 1688420.76</td>
-                        <td id="T_c1bb2_row108_col3" class="data row108 col3" >False</td>
-                        <td id="T_c1bb2_row108_col4" class="data row108 col4" >60.96º</td>
+                                <td id="T_3ad6f_row108_col0" class="data row108 col0" >1</td>
+                        <td id="T_3ad6f_row108_col1" class="data row108 col1" >03/02/12</td>
+                        <td id="T_3ad6f_row108_col2" class="data row108 col2" >$ 1688420.76</td>
+                        <td id="T_3ad6f_row108_col3" class="data row108 col3" >False</td>
+                        <td id="T_3ad6f_row108_col4" class="data row108 col4" >60.96º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row109_col0" class="data row109 col0" >1</td>
-                        <td id="T_c1bb2_row109_col1" class="data row109 col1" >03/09/12</td>
-                        <td id="T_c1bb2_row109_col2" class="data row109 col2" >$ 1675431.16</td>
-                        <td id="T_c1bb2_row109_col3" class="data row109 col3" >False</td>
-                        <td id="T_c1bb2_row109_col4" class="data row109 col4" >58.76º</td>
+                                <td id="T_3ad6f_row109_col0" class="data row109 col0" >1</td>
+                        <td id="T_3ad6f_row109_col1" class="data row109 col1" >03/09/12</td>
+                        <td id="T_3ad6f_row109_col2" class="data row109 col2" >$ 1675431.16</td>
+                        <td id="T_3ad6f_row109_col3" class="data row109 col3" >False</td>
+                        <td id="T_3ad6f_row109_col4" class="data row109 col4" >58.76º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row110_col0" class="data row110 col0" >1</td>
-                        <td id="T_c1bb2_row110_col1" class="data row110 col1" >16/03/12</td>
-                        <td id="T_c1bb2_row110_col2" class="data row110 col2" >$ 1677472.78</td>
-                        <td id="T_c1bb2_row110_col3" class="data row110 col3" >False</td>
-                        <td id="T_c1bb2_row110_col4" class="data row110 col4" >64.74º</td>
+                                <td id="T_3ad6f_row110_col0" class="data row110 col0" >1</td>
+                        <td id="T_3ad6f_row110_col1" class="data row110 col1" >16/03/12</td>
+                        <td id="T_3ad6f_row110_col2" class="data row110 col2" >$ 1677472.78</td>
+                        <td id="T_3ad6f_row110_col3" class="data row110 col3" >False</td>
+                        <td id="T_3ad6f_row110_col4" class="data row110 col4" >64.74º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row111_col0" class="data row111 col0" >1</td>
-                        <td id="T_c1bb2_row111_col1" class="data row111 col1" >23/03/12</td>
-                        <td id="T_c1bb2_row111_col2" class="data row111 col2" >$ 1511068.07</td>
-                        <td id="T_c1bb2_row111_col3" class="data row111 col3" >False</td>
-                        <td id="T_c1bb2_row111_col4" class="data row111 col4" >65.93º</td>
+                                <td id="T_3ad6f_row111_col0" class="data row111 col0" >1</td>
+                        <td id="T_3ad6f_row111_col1" class="data row111 col1" >23/03/12</td>
+                        <td id="T_3ad6f_row111_col2" class="data row111 col2" >$ 1511068.07</td>
+                        <td id="T_3ad6f_row111_col3" class="data row111 col3" >False</td>
+                        <td id="T_3ad6f_row111_col4" class="data row111 col4" >65.93º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row112_col0" class="data row112 col0" >1</td>
-                        <td id="T_c1bb2_row112_col1" class="data row112 col1" >30/03/12</td>
-                        <td id="T_c1bb2_row112_col2" class="data row112 col2" >$ 1649604.63</td>
-                        <td id="T_c1bb2_row112_col3" class="data row112 col3" >False</td>
-                        <td id="T_c1bb2_row112_col4" class="data row112 col4" >67.61º</td>
+                                <td id="T_3ad6f_row112_col0" class="data row112 col0" >1</td>
+                        <td id="T_3ad6f_row112_col1" class="data row112 col1" >30/03/12</td>
+                        <td id="T_3ad6f_row112_col2" class="data row112 col2" >$ 1649604.63</td>
+                        <td id="T_3ad6f_row112_col3" class="data row112 col3" >False</td>
+                        <td id="T_3ad6f_row112_col4" class="data row112 col4" >67.61º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row113_col0" class="data row113 col0" >1</td>
-                        <td id="T_c1bb2_row113_col1" class="data row113 col1" >04/06/12</td>
-                        <td id="T_c1bb2_row113_col2" class="data row113 col2" >$ 1899676.88</td>
-                        <td id="T_c1bb2_row113_col3" class="data row113 col3" >False</td>
-                        <td id="T_c1bb2_row113_col4" class="data row113 col4" >70.43º</td>
+                                <td id="T_3ad6f_row113_col0" class="data row113 col0" >1</td>
+                        <td id="T_3ad6f_row113_col1" class="data row113 col1" >04/06/12</td>
+                        <td id="T_3ad6f_row113_col2" class="data row113 col2" >$ 1899676.88</td>
+                        <td id="T_3ad6f_row113_col3" class="data row113 col3" >False</td>
+                        <td id="T_3ad6f_row113_col4" class="data row113 col4" >70.43º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row114_col0" class="data row114 col0" >1</td>
-                        <td id="T_c1bb2_row114_col1" class="data row114 col1" >13/04/12</td>
-                        <td id="T_c1bb2_row114_col2" class="data row114 col2" >$ 1621031.70</td>
-                        <td id="T_c1bb2_row114_col3" class="data row114 col3" >False</td>
-                        <td id="T_c1bb2_row114_col4" class="data row114 col4" >69.07º</td>
+                                <td id="T_3ad6f_row114_col0" class="data row114 col0" >1</td>
+                        <td id="T_3ad6f_row114_col1" class="data row114 col1" >13/04/12</td>
+                        <td id="T_3ad6f_row114_col2" class="data row114 col2" >$ 1621031.70</td>
+                        <td id="T_3ad6f_row114_col3" class="data row114 col3" >False</td>
+                        <td id="T_3ad6f_row114_col4" class="data row114 col4" >69.07º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row115_col0" class="data row115 col0" >1</td>
-                        <td id="T_c1bb2_row115_col1" class="data row115 col1" >20/04/12</td>
-                        <td id="T_c1bb2_row115_col2" class="data row115 col2" >$ 1521577.87</td>
-                        <td id="T_c1bb2_row115_col3" class="data row115 col3" >False</td>
-                        <td id="T_c1bb2_row115_col4" class="data row115 col4" >66.76º</td>
+                                <td id="T_3ad6f_row115_col0" class="data row115 col0" >1</td>
+                        <td id="T_3ad6f_row115_col1" class="data row115 col1" >20/04/12</td>
+                        <td id="T_3ad6f_row115_col2" class="data row115 col2" >$ 1521577.87</td>
+                        <td id="T_3ad6f_row115_col3" class="data row115 col3" >False</td>
+                        <td id="T_3ad6f_row115_col4" class="data row115 col4" >66.76º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row116_col0" class="data row116 col0" >1</td>
-                        <td id="T_c1bb2_row116_col1" class="data row116 col1" >27/04/12</td>
-                        <td id="T_c1bb2_row116_col2" class="data row116 col2" >$ 1468928.37</td>
-                        <td id="T_c1bb2_row116_col3" class="data row116 col3" >False</td>
-                        <td id="T_c1bb2_row116_col4" class="data row116 col4" >67.23º</td>
+                                <td id="T_3ad6f_row116_col0" class="data row116 col0" >1</td>
+                        <td id="T_3ad6f_row116_col1" class="data row116 col1" >27/04/12</td>
+                        <td id="T_3ad6f_row116_col2" class="data row116 col2" >$ 1468928.37</td>
+                        <td id="T_3ad6f_row116_col3" class="data row116 col3" >False</td>
+                        <td id="T_3ad6f_row116_col4" class="data row116 col4" >67.23º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row117_col0" class="data row117 col0" >1</td>
-                        <td id="T_c1bb2_row117_col1" class="data row117 col1" >05/04/12</td>
-                        <td id="T_c1bb2_row117_col2" class="data row117 col2" >$ 1684519.99</td>
-                        <td id="T_c1bb2_row117_col3" class="data row117 col3" >False</td>
-                        <td id="T_c1bb2_row117_col4" class="data row117 col4" >75.55º</td>
+                                <td id="T_3ad6f_row117_col0" class="data row117 col0" >1</td>
+                        <td id="T_3ad6f_row117_col1" class="data row117 col1" >05/04/12</td>
+                        <td id="T_3ad6f_row117_col2" class="data row117 col2" >$ 1684519.99</td>
+                        <td id="T_3ad6f_row117_col3" class="data row117 col3" >False</td>
+                        <td id="T_3ad6f_row117_col4" class="data row117 col4" >75.55º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row118_col0" class="data row118 col0" >1</td>
-                        <td id="T_c1bb2_row118_col1" class="data row118 col1" >05/11/12</td>
-                        <td id="T_c1bb2_row118_col2" class="data row118 col2" >$ 1611096.05</td>
-                        <td id="T_c1bb2_row118_col3" class="data row118 col3" >False</td>
-                        <td id="T_c1bb2_row118_col4" class="data row118 col4" >73.77º</td>
+                                <td id="T_3ad6f_row118_col0" class="data row118 col0" >1</td>
+                        <td id="T_3ad6f_row118_col1" class="data row118 col1" >05/11/12</td>
+                        <td id="T_3ad6f_row118_col2" class="data row118 col2" >$ 1611096.05</td>
+                        <td id="T_3ad6f_row118_col3" class="data row118 col3" >False</td>
+                        <td id="T_3ad6f_row118_col4" class="data row118 col4" >73.77º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row119_col0" class="data row119 col0" >1</td>
-                        <td id="T_c1bb2_row119_col1" class="data row119 col1" >18/05/12</td>
-                        <td id="T_c1bb2_row119_col2" class="data row119 col2" >$ 1595901.87</td>
-                        <td id="T_c1bb2_row119_col3" class="data row119 col3" >False</td>
-                        <td id="T_c1bb2_row119_col4" class="data row119 col4" >70.33º</td>
+                                <td id="T_3ad6f_row119_col0" class="data row119 col0" >1</td>
+                        <td id="T_3ad6f_row119_col1" class="data row119 col1" >18/05/12</td>
+                        <td id="T_3ad6f_row119_col2" class="data row119 col2" >$ 1595901.87</td>
+                        <td id="T_3ad6f_row119_col3" class="data row119 col3" >False</td>
+                        <td id="T_3ad6f_row119_col4" class="data row119 col4" >70.33º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row120_col0" class="data row120 col0" >1</td>
-                        <td id="T_c1bb2_row120_col1" class="data row120 col1" >25/05/12</td>
-                        <td id="T_c1bb2_row120_col2" class="data row120 col2" >$ 1555444.55</td>
-                        <td id="T_c1bb2_row120_col3" class="data row120 col3" >False</td>
-                        <td id="T_c1bb2_row120_col4" class="data row120 col4" >77.22º</td>
+                                <td id="T_3ad6f_row120_col0" class="data row120 col0" >1</td>
+                        <td id="T_3ad6f_row120_col1" class="data row120 col1" >25/05/12</td>
+                        <td id="T_3ad6f_row120_col2" class="data row120 col2" >$ 1555444.55</td>
+                        <td id="T_3ad6f_row120_col3" class="data row120 col3" >False</td>
+                        <td id="T_3ad6f_row120_col4" class="data row120 col4" >77.22º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row121_col0" class="data row121 col0" >1</td>
-                        <td id="T_c1bb2_row121_col1" class="data row121 col1" >06/01/12</td>
-                        <td id="T_c1bb2_row121_col2" class="data row121 col2" >$ 1624477.58</td>
-                        <td id="T_c1bb2_row121_col3" class="data row121 col3" >False</td>
-                        <td id="T_c1bb2_row121_col4" class="data row121 col4" >77.95º</td>
+                                <td id="T_3ad6f_row121_col0" class="data row121 col0" >1</td>
+                        <td id="T_3ad6f_row121_col1" class="data row121 col1" >06/01/12</td>
+                        <td id="T_3ad6f_row121_col2" class="data row121 col2" >$ 1624477.58</td>
+                        <td id="T_3ad6f_row121_col3" class="data row121 col3" >False</td>
+                        <td id="T_3ad6f_row121_col4" class="data row121 col4" >77.95º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row122_col0" class="data row122 col0" >1</td>
-                        <td id="T_c1bb2_row122_col1" class="data row122 col1" >06/08/12</td>
-                        <td id="T_c1bb2_row122_col2" class="data row122 col2" >$ 1697230.96</td>
-                        <td id="T_c1bb2_row122_col3" class="data row122 col3" >False</td>
-                        <td id="T_c1bb2_row122_col4" class="data row122 col4" >78.30º</td>
+                                <td id="T_3ad6f_row122_col0" class="data row122 col0" >1</td>
+                        <td id="T_3ad6f_row122_col1" class="data row122 col1" >06/08/12</td>
+                        <td id="T_3ad6f_row122_col2" class="data row122 col2" >$ 1697230.96</td>
+                        <td id="T_3ad6f_row122_col3" class="data row122 col3" >False</td>
+                        <td id="T_3ad6f_row122_col4" class="data row122 col4" >78.30º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row123_col0" class="data row123 col0" >1</td>
-                        <td id="T_c1bb2_row123_col1" class="data row123 col1" >15/06/12</td>
-                        <td id="T_c1bb2_row123_col2" class="data row123 col2" >$ 1630607.00</td>
-                        <td id="T_c1bb2_row123_col3" class="data row123 col3" >False</td>
-                        <td id="T_c1bb2_row123_col4" class="data row123 col4" >79.35º</td>
+                                <td id="T_3ad6f_row123_col0" class="data row123 col0" >1</td>
+                        <td id="T_3ad6f_row123_col1" class="data row123 col1" >15/06/12</td>
+                        <td id="T_3ad6f_row123_col2" class="data row123 col2" >$ 1630607.00</td>
+                        <td id="T_3ad6f_row123_col3" class="data row123 col3" >False</td>
+                        <td id="T_3ad6f_row123_col4" class="data row123 col4" >79.35º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row124_col0" class="data row124 col0" >1</td>
-                        <td id="T_c1bb2_row124_col1" class="data row124 col1" >22/06/12</td>
-                        <td id="T_c1bb2_row124_col2" class="data row124 col2" >$ 1527845.81</td>
-                        <td id="T_c1bb2_row124_col3" class="data row124 col3" >False</td>
-                        <td id="T_c1bb2_row124_col4" class="data row124 col4" >78.39º</td>
+                                <td id="T_3ad6f_row124_col0" class="data row124 col0" >1</td>
+                        <td id="T_3ad6f_row124_col1" class="data row124 col1" >22/06/12</td>
+                        <td id="T_3ad6f_row124_col2" class="data row124 col2" >$ 1527845.81</td>
+                        <td id="T_3ad6f_row124_col3" class="data row124 col3" >False</td>
+                        <td id="T_3ad6f_row124_col4" class="data row124 col4" >78.39º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row125_col0" class="data row125 col0" >1</td>
-                        <td id="T_c1bb2_row125_col1" class="data row125 col1" >29/06/12</td>
-                        <td id="T_c1bb2_row125_col2" class="data row125 col2" >$ 1540421.49</td>
-                        <td id="T_c1bb2_row125_col3" class="data row125 col3" >False</td>
-                        <td id="T_c1bb2_row125_col4" class="data row125 col4" >84.88º</td>
+                                <td id="T_3ad6f_row125_col0" class="data row125 col0" >1</td>
+                        <td id="T_3ad6f_row125_col1" class="data row125 col1" >29/06/12</td>
+                        <td id="T_3ad6f_row125_col2" class="data row125 col2" >$ 1540421.49</td>
+                        <td id="T_3ad6f_row125_col3" class="data row125 col3" >False</td>
+                        <td id="T_3ad6f_row125_col4" class="data row125 col4" >84.88º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row126_col0" class="data row126 col0" >1</td>
-                        <td id="T_c1bb2_row126_col1" class="data row126 col1" >07/06/12</td>
-                        <td id="T_c1bb2_row126_col2" class="data row126 col2" >$ 1769854.16</td>
-                        <td id="T_c1bb2_row126_col3" class="data row126 col3" >False</td>
-                        <td id="T_c1bb2_row126_col4" class="data row126 col4" >81.57º</td>
+                                <td id="T_3ad6f_row126_col0" class="data row126 col0" >1</td>
+                        <td id="T_3ad6f_row126_col1" class="data row126 col1" >07/06/12</td>
+                        <td id="T_3ad6f_row126_col2" class="data row126 col2" >$ 1769854.16</td>
+                        <td id="T_3ad6f_row126_col3" class="data row126 col3" >False</td>
+                        <td id="T_3ad6f_row126_col4" class="data row126 col4" >81.57º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row127_col0" class="data row127 col0" >1</td>
-                        <td id="T_c1bb2_row127_col1" class="data row127 col1" >13/07/12</td>
-                        <td id="T_c1bb2_row127_col2" class="data row127 col2" >$ 1527014.04</td>
-                        <td id="T_c1bb2_row127_col3" class="data row127 col3" >False</td>
-                        <td id="T_c1bb2_row127_col4" class="data row127 col4" >77.12º</td>
+                                <td id="T_3ad6f_row127_col0" class="data row127 col0" >1</td>
+                        <td id="T_3ad6f_row127_col1" class="data row127 col1" >13/07/12</td>
+                        <td id="T_3ad6f_row127_col2" class="data row127 col2" >$ 1527014.04</td>
+                        <td id="T_3ad6f_row127_col3" class="data row127 col3" >False</td>
+                        <td id="T_3ad6f_row127_col4" class="data row127 col4" >77.12º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row128_col0" class="data row128 col0" >1</td>
-                        <td id="T_c1bb2_row128_col1" class="data row128 col1" >20/07/12</td>
-                        <td id="T_c1bb2_row128_col2" class="data row128 col2" >$ 1497954.76</td>
-                        <td id="T_c1bb2_row128_col3" class="data row128 col3" >False</td>
-                        <td id="T_c1bb2_row128_col4" class="data row128 col4" >80.42º</td>
+                                <td id="T_3ad6f_row128_col0" class="data row128 col0" >1</td>
+                        <td id="T_3ad6f_row128_col1" class="data row128 col1" >20/07/12</td>
+                        <td id="T_3ad6f_row128_col2" class="data row128 col2" >$ 1497954.76</td>
+                        <td id="T_3ad6f_row128_col3" class="data row128 col3" >False</td>
+                        <td id="T_3ad6f_row128_col4" class="data row128 col4" >80.42º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row129_col0" class="data row129 col0" >1</td>
-                        <td id="T_c1bb2_row129_col1" class="data row129 col1" >27/07/12</td>
-                        <td id="T_c1bb2_row129_col2" class="data row129 col2" >$ 1439123.71</td>
-                        <td id="T_c1bb2_row129_col3" class="data row129 col3" >False</td>
-                        <td id="T_c1bb2_row129_col4" class="data row129 col4" >82.66º</td>
+                                <td id="T_3ad6f_row129_col0" class="data row129 col0" >1</td>
+                        <td id="T_3ad6f_row129_col1" class="data row129 col1" >27/07/12</td>
+                        <td id="T_3ad6f_row129_col2" class="data row129 col2" >$ 1439123.71</td>
+                        <td id="T_3ad6f_row129_col3" class="data row129 col3" >False</td>
+                        <td id="T_3ad6f_row129_col4" class="data row129 col4" >82.66º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row130_col0" class="data row130 col0" >1</td>
-                        <td id="T_c1bb2_row130_col1" class="data row130 col1" >08/03/12</td>
-                        <td id="T_c1bb2_row130_col2" class="data row130 col2" >$ 1631135.79</td>
-                        <td id="T_c1bb2_row130_col3" class="data row130 col3" >False</td>
-                        <td id="T_c1bb2_row130_col4" class="data row130 col4" >86.11º</td>
+                                <td id="T_3ad6f_row130_col0" class="data row130 col0" >1</td>
+                        <td id="T_3ad6f_row130_col1" class="data row130 col1" >08/03/12</td>
+                        <td id="T_3ad6f_row130_col2" class="data row130 col2" >$ 1631135.79</td>
+                        <td id="T_3ad6f_row130_col3" class="data row130 col3" >False</td>
+                        <td id="T_3ad6f_row130_col4" class="data row130 col4" >86.11º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row131_col0" class="data row131 col0" >1</td>
-                        <td id="T_c1bb2_row131_col1" class="data row131 col1" >08/10/12</td>
-                        <td id="T_c1bb2_row131_col2" class="data row131 col2" >$ 1592409.97</td>
-                        <td id="T_c1bb2_row131_col3" class="data row131 col3" >False</td>
-                        <td id="T_c1bb2_row131_col4" class="data row131 col4" >85.05º</td>
+                                <td id="T_3ad6f_row131_col0" class="data row131 col0" >1</td>
+                        <td id="T_3ad6f_row131_col1" class="data row131 col1" >08/10/12</td>
+                        <td id="T_3ad6f_row131_col2" class="data row131 col2" >$ 1592409.97</td>
+                        <td id="T_3ad6f_row131_col3" class="data row131 col3" >False</td>
+                        <td id="T_3ad6f_row131_col4" class="data row131 col4" >85.05º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row132_col0" class="data row132 col0" >1</td>
-                        <td id="T_c1bb2_row132_col1" class="data row132 col1" >17/08/12</td>
-                        <td id="T_c1bb2_row132_col2" class="data row132 col2" >$ 1597868.05</td>
-                        <td id="T_c1bb2_row132_col3" class="data row132 col3" >False</td>
-                        <td id="T_c1bb2_row132_col4" class="data row132 col4" >84.85º</td>
+                                <td id="T_3ad6f_row132_col0" class="data row132 col0" >1</td>
+                        <td id="T_3ad6f_row132_col1" class="data row132 col1" >17/08/12</td>
+                        <td id="T_3ad6f_row132_col2" class="data row132 col2" >$ 1597868.05</td>
+                        <td id="T_3ad6f_row132_col3" class="data row132 col3" >False</td>
+                        <td id="T_3ad6f_row132_col4" class="data row132 col4" >84.85º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row133_col0" class="data row133 col0" >1</td>
-                        <td id="T_c1bb2_row133_col1" class="data row133 col1" >24/08/12</td>
-                        <td id="T_c1bb2_row133_col2" class="data row133 col2" >$ 1494122.38</td>
-                        <td id="T_c1bb2_row133_col3" class="data row133 col3" >False</td>
-                        <td id="T_c1bb2_row133_col4" class="data row133 col4" >77.66º</td>
+                                <td id="T_3ad6f_row133_col0" class="data row133 col0" >1</td>
+                        <td id="T_3ad6f_row133_col1" class="data row133 col1" >24/08/12</td>
+                        <td id="T_3ad6f_row133_col2" class="data row133 col2" >$ 1494122.38</td>
+                        <td id="T_3ad6f_row133_col3" class="data row133 col3" >False</td>
+                        <td id="T_3ad6f_row133_col4" class="data row133 col4" >77.66º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row134_col0" class="data row134 col0" >1</td>
-                        <td id="T_c1bb2_row134_col1" class="data row134 col1" >31/08/12</td>
-                        <td id="T_c1bb2_row134_col2" class="data row134 col2" >$ 1582083.40</td>
-                        <td id="T_c1bb2_row134_col3" class="data row134 col3" >False</td>
-                        <td id="T_c1bb2_row134_col4" class="data row134 col4" >80.49º</td>
+                                <td id="T_3ad6f_row134_col0" class="data row134 col0" >1</td>
+                        <td id="T_3ad6f_row134_col1" class="data row134 col1" >31/08/12</td>
+                        <td id="T_3ad6f_row134_col2" class="data row134 col2" >$ 1582083.40</td>
+                        <td id="T_3ad6f_row134_col3" class="data row134 col3" >False</td>
+                        <td id="T_3ad6f_row134_col4" class="data row134 col4" >80.49º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row135_col0" class="data row135 col0" >1</td>
-                        <td id="T_c1bb2_row135_col1" class="data row135 col1" >09/07/12</td>
-                        <td id="T_c1bb2_row135_col2" class="data row135 col2" >$ 1661767.33</td>
-                        <td id="T_c1bb2_row135_col3" class="data row135 col3" >True</td>
-                        <td id="T_c1bb2_row135_col4" class="data row135 col4" >83.96º</td>
+                                <td id="T_3ad6f_row135_col0" class="data row135 col0" >1</td>
+                        <td id="T_3ad6f_row135_col1" class="data row135 col1" >09/07/12</td>
+                        <td id="T_3ad6f_row135_col2" class="data row135 col2" >$ 1661767.33</td>
+                        <td id="T_3ad6f_row135_col3" class="data row135 col3" >True</td>
+                        <td id="T_3ad6f_row135_col4" class="data row135 col4" >83.96º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row136_col0" class="data row136 col0" >1</td>
-                        <td id="T_c1bb2_row136_col1" class="data row136 col1" >14/09/12</td>
-                        <td id="T_c1bb2_row136_col2" class="data row136 col2" >$ 1517428.87</td>
-                        <td id="T_c1bb2_row136_col3" class="data row136 col3" >False</td>
-                        <td id="T_c1bb2_row136_col4" class="data row136 col4" >74.97º</td>
+                                <td id="T_3ad6f_row136_col0" class="data row136 col0" >1</td>
+                        <td id="T_3ad6f_row136_col1" class="data row136 col1" >14/09/12</td>
+                        <td id="T_3ad6f_row136_col2" class="data row136 col2" >$ 1517428.87</td>
+                        <td id="T_3ad6f_row136_col3" class="data row136 col3" >False</td>
+                        <td id="T_3ad6f_row136_col4" class="data row136 col4" >74.97º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row137_col0" class="data row137 col0" >1</td>
-                        <td id="T_c1bb2_row137_col1" class="data row137 col1" >21/09/12</td>
-                        <td id="T_c1bb2_row137_col2" class="data row137 col2" >$ 1506126.06</td>
-                        <td id="T_c1bb2_row137_col3" class="data row137 col3" >False</td>
-                        <td id="T_c1bb2_row137_col4" class="data row137 col4" >69.87º</td>
+                                <td id="T_3ad6f_row137_col0" class="data row137 col0" >1</td>
+                        <td id="T_3ad6f_row137_col1" class="data row137 col1" >21/09/12</td>
+                        <td id="T_3ad6f_row137_col2" class="data row137 col2" >$ 1506126.06</td>
+                        <td id="T_3ad6f_row137_col3" class="data row137 col3" >False</td>
+                        <td id="T_3ad6f_row137_col4" class="data row137 col4" >69.87º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row138_col0" class="data row138 col0" >1</td>
-                        <td id="T_c1bb2_row138_col1" class="data row138 col1" >28/09/12</td>
-                        <td id="T_c1bb2_row138_col2" class="data row138 col2" >$ 1437059.26</td>
-                        <td id="T_c1bb2_row138_col3" class="data row138 col3" >False</td>
-                        <td id="T_c1bb2_row138_col4" class="data row138 col4" >76.08º</td>
+                                <td id="T_3ad6f_row138_col0" class="data row138 col0" >1</td>
+                        <td id="T_3ad6f_row138_col1" class="data row138 col1" >28/09/12</td>
+                        <td id="T_3ad6f_row138_col2" class="data row138 col2" >$ 1437059.26</td>
+                        <td id="T_3ad6f_row138_col3" class="data row138 col3" >False</td>
+                        <td id="T_3ad6f_row138_col4" class="data row138 col4" >76.08º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row139_col0" class="data row139 col0" >1</td>
-                        <td id="T_c1bb2_row139_col1" class="data row139 col1" >10/05/12</td>
-                        <td id="T_c1bb2_row139_col2" class="data row139 col2" >$ 1670785.97</td>
-                        <td id="T_c1bb2_row139_col3" class="data row139 col3" >False</td>
-                        <td id="T_c1bb2_row139_col4" class="data row139 col4" >68.55º</td>
+                                <td id="T_3ad6f_row139_col0" class="data row139 col0" >1</td>
+                        <td id="T_3ad6f_row139_col1" class="data row139 col1" >10/05/12</td>
+                        <td id="T_3ad6f_row139_col2" class="data row139 col2" >$ 1670785.97</td>
+                        <td id="T_3ad6f_row139_col3" class="data row139 col3" >False</td>
+                        <td id="T_3ad6f_row139_col4" class="data row139 col4" >68.55º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row140_col0" class="data row140 col0" >1</td>
-                        <td id="T_c1bb2_row140_col1" class="data row140 col1" >10/12/12</td>
-                        <td id="T_c1bb2_row140_col2" class="data row140 col2" >$ 1573072.81</td>
-                        <td id="T_c1bb2_row140_col3" class="data row140 col3" >False</td>
-                        <td id="T_c1bb2_row140_col4" class="data row140 col4" >62.99º</td>
+                                <td id="T_3ad6f_row140_col0" class="data row140 col0" >1</td>
+                        <td id="T_3ad6f_row140_col1" class="data row140 col1" >10/12/12</td>
+                        <td id="T_3ad6f_row140_col2" class="data row140 col2" >$ 1573072.81</td>
+                        <td id="T_3ad6f_row140_col3" class="data row140 col3" >False</td>
+                        <td id="T_3ad6f_row140_col4" class="data row140 col4" >62.99º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row141_col0" class="data row141 col0" >1</td>
-                        <td id="T_c1bb2_row141_col1" class="data row141 col1" >19/10/12</td>
-                        <td id="T_c1bb2_row141_col2" class="data row141 col2" >$ 1508068.77</td>
-                        <td id="T_c1bb2_row141_col3" class="data row141 col3" >False</td>
-                        <td id="T_c1bb2_row141_col4" class="data row141 col4" >67.97º</td>
+                                <td id="T_3ad6f_row141_col0" class="data row141 col0" >1</td>
+                        <td id="T_3ad6f_row141_col1" class="data row141 col1" >19/10/12</td>
+                        <td id="T_3ad6f_row141_col2" class="data row141 col2" >$ 1508068.77</td>
+                        <td id="T_3ad6f_row141_col3" class="data row141 col3" >False</td>
+                        <td id="T_3ad6f_row141_col4" class="data row141 col4" >67.97º</td>
             </tr>
             <tr>
-                                <td id="T_c1bb2_row142_col0" class="data row142 col0" >1</td>
-                        <td id="T_c1bb2_row142_col1" class="data row142 col1" >26/10/12</td>
-                        <td id="T_c1bb2_row142_col2" class="data row142 col2" >$ 1493659.74</td>
-                        <td id="T_c1bb2_row142_col3" class="data row142 col3" >False</td>
-                        <td id="T_c1bb2_row142_col4" class="data row142 col4" >69.16º</td>
+                                <td id="T_3ad6f_row142_col0" class="data row142 col0" >1</td>
+                        <td id="T_3ad6f_row142_col1" class="data row142 col1" >26/10/12</td>
+                        <td id="T_3ad6f_row142_col2" class="data row142 col2" >$ 1493659.74</td>
+                        <td id="T_3ad6f_row142_col3" class="data row142 col3" >False</td>
+                        <td id="T_3ad6f_row142_col4" class="data row142 col4" >69.16º</td>
             </tr>
     </tbody></table>
 </div>
@@ -25693,7 +26555,7 @@ <h2><font color=green> Reindexação</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[85]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[88]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">obj</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="mf">4.5</span><span class="p">,</span> <span class="mf">7.2</span><span class="p">,</span> <span class="o">-</span><span class="mf">5.3</span><span class="p">,</span> <span class="mf">3.6</span><span class="p">],</span> <span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;d&#39;</span><span class="p">,</span> <span class="s1">&#39;b&#39;</span><span class="p">,</span> <span class="s1">&#39;a&#39;</span><span class="p">,</span> <span class="s1">&#39;c&#39;</span><span class="p">])</span>
@@ -25713,7 +26575,7 @@ <h2><font color=green> Reindexação</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[85]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[88]:</div>
 
 
 
@@ -25743,7 +26605,7 @@ <h2><font color=green> Reindexação</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[86]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[89]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">obj2</span> <span class="o">=</span> <span class="n">obj</span><span class="o">.</span><span class="n">reindex</span><span class="p">([</span><span class="s1">&#39;a&#39;</span><span class="p">,</span> <span class="s1">&#39;b&#39;</span><span class="p">,</span> <span class="s1">&#39;c&#39;</span><span class="p">,</span> <span class="s1">&#39;d&#39;</span><span class="p">,</span> <span class="s1">&#39;e&#39;</span><span class="p">])</span>
@@ -25763,7 +26625,7 @@ <h2><font color=green> Reindexação</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[86]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[89]:</div>
 
 
 
@@ -25794,7 +26656,7 @@ <h2><font color=green> Reindexação</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[87]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[90]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">obj3</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="s1">&#39;blue&#39;</span><span class="p">,</span> <span class="s1">&#39;purple&#39;</span><span class="p">,</span> <span class="s1">&#39;yellow&#39;</span><span class="p">],</span> <span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">])</span>
@@ -25814,7 +26676,7 @@ <h2><font color=green> Reindexação</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[87]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[90]:</div>
 
 
 
@@ -25835,7 +26697,7 @@ <h2><font color=green> Reindexação</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[88]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[91]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">obj3</span><span class="o">.</span><span class="n">reindex</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">6</span><span class="p">),</span> <span class="n">method</span><span class="o">=</span><span class="s1">&#39;ffill&#39;</span><span class="p">)</span>
@@ -25854,7 +26716,7 @@ <h2><font color=green> Reindexação</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[88]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[91]:</div>
 
 
 
@@ -25878,7 +26740,7 @@ <h2><font color=green> Reindexação</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[89]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[92]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">obj3</span><span class="o">.</span><span class="n">reindex</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">6</span><span class="p">),</span> <span class="n">method</span><span class="o">=</span><span class="s1">&#39;bfill&#39;</span><span class="p">)</span>
@@ -25897,7 +26759,7 @@ <h2><font color=green> Reindexação</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[89]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[92]:</div>
 
 
 
@@ -25929,7 +26791,7 @@ <h2><font color=green> Reindexação</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[90]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[93]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">frame</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">9</span><span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="mi">3</span><span class="p">,</span><span class="mi">3</span><span class="p">)),</span> 
@@ -25951,7 +26813,7 @@ <h2><font color=green> Reindexação</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[90]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[93]:</div>
 
 
 
@@ -26012,7 +26874,7 @@ <h2><font color=green> Reindexação</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[91]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[94]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">frame2</span> <span class="o">=</span> <span class="n">frame</span><span class="o">.</span><span class="n">reindex</span><span class="p">([</span><span class="s1">&#39;a&#39;</span><span class="p">,</span><span class="s1">&#39;b&#39;</span><span class="p">,</span><span class="s1">&#39;c&#39;</span><span class="p">,</span><span class="s1">&#39;d&#39;</span><span class="p">])</span>
@@ -26032,7 +26894,7 @@ <h2><font color=green> Reindexação</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[91]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[94]:</div>
 
 
 
@@ -26099,7 +26961,7 @@ <h2><font color=green> Reindexação</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[92]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[95]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">frame3</span> <span class="o">=</span> <span class="n">frame</span><span class="o">.</span><span class="n">reindex</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;Texas&#39;</span><span class="p">,</span> <span class="s1">&#39;Utah&#39;</span><span class="p">,</span> <span class="s1">&#39;California&#39;</span><span class="p">])</span>
@@ -26119,7 +26981,7 @@ <h2><font color=green> Reindexação</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[92]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[95]:</div>
 
 
 
@@ -26188,7 +27050,7 @@ <h2><font color=green> Reindexação</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[93]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[96]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span>
@@ -26213,7 +27075,7 @@ <h2><font color=green> Reindexação</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[93]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[96]:</div>
 
 
 
@@ -26274,7 +27136,7 @@ <h2><font color=green> Reindexação</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[94]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[97]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s2">&quot;hobbies&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s2">&quot;hobbies&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot;,&quot;</span><span class="p">)</span> 
@@ -26294,7 +27156,7 @@ <h2><font color=green> Reindexação</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[94]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[97]:</div>
 
 
 
@@ -26355,7 +27217,7 @@ <h2><font color=green> Reindexação</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[95]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[98]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">explode</span><span class="p">(</span><span class="s2">&quot;hobbies&quot;</span><span class="p">)</span> 
@@ -26375,7 +27237,7 @@ <h2><font color=green> Reindexação</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[95]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[98]:</div>
 
 
 
diff --git a/01. Series, DataFrame and Reindex.ipynb b/01. Series, DataFrame and Reindex.ipynb
index e4a3eda..5f8c652 100644
--- a/01. Series, DataFrame and Reindex.ipynb	
+++ b/01. Series, DataFrame and Reindex.ipynb	
@@ -4711,7 +4711,852 @@
     }
    ],
    "source": [
-    "walmart.query(\"Date == '12-02-2010' and Temperature < 40 and Unemployment < 8\")"
+    "walmart.query(\"Date == '2010-12-02' and Temperature < 40 and Unemployment < 8\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "5acf30c3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Store</th>\n",
+       "      <th>Date</th>\n",
+       "      <th>Weekly_Sales</th>\n",
+       "      <th>Holiday_Flag</th>\n",
+       "      <th>Temperature</th>\n",
+       "      <th>Fuel_Price</th>\n",
+       "      <th>CPI</th>\n",
+       "      <th>Unemployment</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>1611968.17</td>\n",
+       "      <td>False</td>\n",
+       "      <td>39.93</td>\n",
+       "      <td>2.514</td>\n",
+       "      <td>211.289143</td>\n",
+       "      <td>8.106</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2010-02-26</td>\n",
+       "      <td>1409727.59</td>\n",
+       "      <td>False</td>\n",
+       "      <td>46.63</td>\n",
+       "      <td>2.561</td>\n",
+       "      <td>211.319643</td>\n",
+       "      <td>8.106</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2010-02-04</td>\n",
+       "      <td>1594968.28</td>\n",
+       "      <td>False</td>\n",
+       "      <td>62.27</td>\n",
+       "      <td>2.719</td>\n",
+       "      <td>210.820450</td>\n",
+       "      <td>7.808</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2010-02-07</td>\n",
+       "      <td>1492418.14</td>\n",
+       "      <td>False</td>\n",
+       "      <td>80.91</td>\n",
+       "      <td>2.669</td>\n",
+       "      <td>211.223533</td>\n",
+       "      <td>7.787</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>145</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>2124451.54</td>\n",
+       "      <td>False</td>\n",
+       "      <td>39.69</td>\n",
+       "      <td>2.514</td>\n",
+       "      <td>210.945160</td>\n",
+       "      <td>8.324</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6170</th>\n",
+       "      <td>44</td>\n",
+       "      <td>2010-02-07</td>\n",
+       "      <td>300628.19</td>\n",
+       "      <td>False</td>\n",
+       "      <td>78.82</td>\n",
+       "      <td>2.814</td>\n",
+       "      <td>126.139200</td>\n",
+       "      <td>7.804</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6294</th>\n",
+       "      <td>45</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>841264.04</td>\n",
+       "      <td>False</td>\n",
+       "      <td>31.27</td>\n",
+       "      <td>2.745</td>\n",
+       "      <td>182.034782</td>\n",
+       "      <td>8.992</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6295</th>\n",
+       "      <td>45</td>\n",
+       "      <td>2010-02-26</td>\n",
+       "      <td>741891.65</td>\n",
+       "      <td>False</td>\n",
+       "      <td>34.89</td>\n",
+       "      <td>2.754</td>\n",
+       "      <td>182.077469</td>\n",
+       "      <td>8.992</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6300</th>\n",
+       "      <td>45</td>\n",
+       "      <td>2010-02-04</td>\n",
+       "      <td>877235.96</td>\n",
+       "      <td>False</td>\n",
+       "      <td>47.74</td>\n",
+       "      <td>2.850</td>\n",
+       "      <td>181.865754</td>\n",
+       "      <td>8.899</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6313</th>\n",
+       "      <td>45</td>\n",
+       "      <td>2010-02-07</td>\n",
+       "      <td>800147.84</td>\n",
+       "      <td>False</td>\n",
+       "      <td>76.61</td>\n",
+       "      <td>2.815</td>\n",
+       "      <td>182.318780</td>\n",
+       "      <td>8.743</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>180 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Store       Date  Weekly_Sales  Holiday_Flag  Temperature  Fuel_Price  \\\n",
+       "2        1 2010-02-19    1611968.17         False        39.93       2.514   \n",
+       "3        1 2010-02-26    1409727.59         False        46.63       2.561   \n",
+       "8        1 2010-02-04    1594968.28         False        62.27       2.719   \n",
+       "21       1 2010-02-07    1492418.14         False        80.91       2.669   \n",
+       "145      2 2010-02-19    2124451.54         False        39.69       2.514   \n",
+       "...    ...        ...           ...           ...          ...         ...   \n",
+       "6170    44 2010-02-07     300628.19         False        78.82       2.814   \n",
+       "6294    45 2010-02-19     841264.04         False        31.27       2.745   \n",
+       "6295    45 2010-02-26     741891.65         False        34.89       2.754   \n",
+       "6300    45 2010-02-04     877235.96         False        47.74       2.850   \n",
+       "6313    45 2010-02-07     800147.84         False        76.61       2.815   \n",
+       "\n",
+       "             CPI  Unemployment  \n",
+       "2     211.289143         8.106  \n",
+       "3     211.319643         8.106  \n",
+       "8     210.820450         7.808  \n",
+       "21    211.223533         7.787  \n",
+       "145   210.945160         8.324  \n",
+       "...          ...           ...  \n",
+       "6170  126.139200         7.804  \n",
+       "6294  182.034782         8.992  \n",
+       "6295  182.077469         8.992  \n",
+       "6300  181.865754         8.899  \n",
+       "6313  182.318780         8.743  \n",
+       "\n",
+       "[180 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "walmart.query(\"Date.dt.month == 2 and Date.dt.year == 2010\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "0edea25a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Store</th>\n",
+       "      <th>Date</th>\n",
+       "      <th>Weekly_Sales</th>\n",
+       "      <th>Holiday_Flag</th>\n",
+       "      <th>Temperature</th>\n",
+       "      <th>Fuel_Price</th>\n",
+       "      <th>CPI</th>\n",
+       "      <th>Unemployment</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>1611968.17</td>\n",
+       "      <td>False</td>\n",
+       "      <td>39.93</td>\n",
+       "      <td>2.514</td>\n",
+       "      <td>211.289143</td>\n",
+       "      <td>8.106</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>145</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>2124451.54</td>\n",
+       "      <td>False</td>\n",
+       "      <td>39.69</td>\n",
+       "      <td>2.514</td>\n",
+       "      <td>210.945160</td>\n",
+       "      <td>8.324</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>288</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>421642.19</td>\n",
+       "      <td>False</td>\n",
+       "      <td>47.07</td>\n",
+       "      <td>2.514</td>\n",
+       "      <td>214.619887</td>\n",
+       "      <td>7.368</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>431</th>\n",
+       "      <td>4</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>2049860.26</td>\n",
+       "      <td>False</td>\n",
+       "      <td>36.45</td>\n",
+       "      <td>2.540</td>\n",
+       "      <td>126.526286</td>\n",
+       "      <td>8.623</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>574</th>\n",
+       "      <td>5</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>303447.57</td>\n",
+       "      <td>False</td>\n",
+       "      <td>41.14</td>\n",
+       "      <td>2.514</td>\n",
+       "      <td>211.847128</td>\n",
+       "      <td>6.566</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>717</th>\n",
+       "      <td>6</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>1567138.07</td>\n",
+       "      <td>False</td>\n",
+       "      <td>43.58</td>\n",
+       "      <td>2.514</td>\n",
+       "      <td>212.816155</td>\n",
+       "      <td>7.259</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>860</th>\n",
+       "      <td>7</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>506760.54</td>\n",
+       "      <td>False</td>\n",
+       "      <td>27.28</td>\n",
+       "      <td>2.550</td>\n",
+       "      <td>189.534100</td>\n",
+       "      <td>9.014</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1003</th>\n",
+       "      <td>8</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>963960.37</td>\n",
+       "      <td>False</td>\n",
+       "      <td>39.10</td>\n",
+       "      <td>2.514</td>\n",
+       "      <td>214.666488</td>\n",
+       "      <td>6.299</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1146</th>\n",
+       "      <td>9</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>511327.90</td>\n",
+       "      <td>False</td>\n",
+       "      <td>43.06</td>\n",
+       "      <td>2.514</td>\n",
+       "      <td>214.850618</td>\n",
+       "      <td>6.415</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1289</th>\n",
+       "      <td>10</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>2113432.58</td>\n",
+       "      <td>False</td>\n",
+       "      <td>58.22</td>\n",
+       "      <td>2.915</td>\n",
+       "      <td>126.526286</td>\n",
+       "      <td>9.765</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1432</th>\n",
+       "      <td>11</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>1503298.70</td>\n",
+       "      <td>False</td>\n",
+       "      <td>48.30</td>\n",
+       "      <td>2.514</td>\n",
+       "      <td>214.619887</td>\n",
+       "      <td>7.368</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1575</th>\n",
+       "      <td>12</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>1095421.65</td>\n",
+       "      <td>False</td>\n",
+       "      <td>54.83</td>\n",
+       "      <td>2.915</td>\n",
+       "      <td>126.526286</td>\n",
+       "      <td>13.975</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1718</th>\n",
+       "      <td>13</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>1970274.64</td>\n",
+       "      <td>False</td>\n",
+       "      <td>35.70</td>\n",
+       "      <td>2.654</td>\n",
+       "      <td>126.526286</td>\n",
+       "      <td>8.316</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1861</th>\n",
+       "      <td>14</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>2204556.70</td>\n",
+       "      <td>False</td>\n",
+       "      <td>31.27</td>\n",
+       "      <td>2.745</td>\n",
+       "      <td>182.034782</td>\n",
+       "      <td>8.992</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2004</th>\n",
+       "      <td>15</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>660838.75</td>\n",
+       "      <td>False</td>\n",
+       "      <td>27.54</td>\n",
+       "      <td>2.909</td>\n",
+       "      <td>131.637000</td>\n",
+       "      <td>8.350</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2147</th>\n",
+       "      <td>16</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>469868.70</td>\n",
+       "      <td>False</td>\n",
+       "      <td>21.13</td>\n",
+       "      <td>2.550</td>\n",
+       "      <td>189.534100</td>\n",
+       "      <td>7.039</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2290</th>\n",
+       "      <td>17</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>800714.00</td>\n",
+       "      <td>False</td>\n",
+       "      <td>25.06</td>\n",
+       "      <td>2.654</td>\n",
+       "      <td>126.526286</td>\n",
+       "      <td>6.548</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2433</th>\n",
+       "      <td>18</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>1150663.42</td>\n",
+       "      <td>False</td>\n",
+       "      <td>30.91</td>\n",
+       "      <td>2.747</td>\n",
+       "      <td>131.637000</td>\n",
+       "      <td>9.202</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2576</th>\n",
+       "      <td>19</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>1515976.11</td>\n",
+       "      <td>False</td>\n",
+       "      <td>28.57</td>\n",
+       "      <td>2.909</td>\n",
+       "      <td>131.637000</td>\n",
+       "      <td>8.350</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2719</th>\n",
+       "      <td>20</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>2161549.76</td>\n",
+       "      <td>False</td>\n",
+       "      <td>25.43</td>\n",
+       "      <td>2.745</td>\n",
+       "      <td>204.432100</td>\n",
+       "      <td>8.187</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2862</th>\n",
+       "      <td>21</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>867283.25</td>\n",
+       "      <td>False</td>\n",
+       "      <td>39.75</td>\n",
+       "      <td>2.514</td>\n",
+       "      <td>210.945160</td>\n",
+       "      <td>8.324</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3005</th>\n",
+       "      <td>22</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>988467.61</td>\n",
+       "      <td>False</td>\n",
+       "      <td>31.96</td>\n",
+       "      <td>2.747</td>\n",
+       "      <td>135.465778</td>\n",
+       "      <td>8.283</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3148</th>\n",
+       "      <td>23</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>1319588.04</td>\n",
+       "      <td>False</td>\n",
+       "      <td>26.70</td>\n",
+       "      <td>2.747</td>\n",
+       "      <td>131.637000</td>\n",
+       "      <td>5.892</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3291</th>\n",
+       "      <td>24</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>1385362.49</td>\n",
+       "      <td>False</td>\n",
+       "      <td>31.05</td>\n",
+       "      <td>2.909</td>\n",
+       "      <td>131.637000</td>\n",
+       "      <td>8.326</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3434</th>\n",
+       "      <td>25</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>676260.67</td>\n",
+       "      <td>False</td>\n",
+       "      <td>24.16</td>\n",
+       "      <td>2.745</td>\n",
+       "      <td>204.432100</td>\n",
+       "      <td>8.187</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3577</th>\n",
+       "      <td>26</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>999348.55</td>\n",
+       "      <td>False</td>\n",
+       "      <td>22.62</td>\n",
+       "      <td>2.747</td>\n",
+       "      <td>131.637000</td>\n",
+       "      <td>8.488</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3720</th>\n",
+       "      <td>27</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>1945070.33</td>\n",
+       "      <td>False</td>\n",
+       "      <td>32.44</td>\n",
+       "      <td>2.909</td>\n",
+       "      <td>135.465778</td>\n",
+       "      <td>8.237</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3863</th>\n",
+       "      <td>28</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>1491300.42</td>\n",
+       "      <td>False</td>\n",
+       "      <td>54.83</td>\n",
+       "      <td>2.915</td>\n",
+       "      <td>126.526286</td>\n",
+       "      <td>13.975</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4006</th>\n",
+       "      <td>29</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>542399.07</td>\n",
+       "      <td>False</td>\n",
+       "      <td>31.96</td>\n",
+       "      <td>2.747</td>\n",
+       "      <td>131.637000</td>\n",
+       "      <td>10.064</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4149</th>\n",
+       "      <td>30</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>463513.26</td>\n",
+       "      <td>False</td>\n",
+       "      <td>39.75</td>\n",
+       "      <td>2.514</td>\n",
+       "      <td>210.945160</td>\n",
+       "      <td>8.324</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4292</th>\n",
+       "      <td>31</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>1473386.75</td>\n",
+       "      <td>False</td>\n",
+       "      <td>39.75</td>\n",
+       "      <td>2.514</td>\n",
+       "      <td>210.945160</td>\n",
+       "      <td>8.324</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4435</th>\n",
+       "      <td>32</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>1082559.06</td>\n",
+       "      <td>False</td>\n",
+       "      <td>29.16</td>\n",
+       "      <td>2.550</td>\n",
+       "      <td>189.534100</td>\n",
+       "      <td>9.014</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4578</th>\n",
+       "      <td>33</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>296850.83</td>\n",
+       "      <td>False</td>\n",
+       "      <td>62.16</td>\n",
+       "      <td>2.915</td>\n",
+       "      <td>126.526286</td>\n",
+       "      <td>10.115</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4721</th>\n",
+       "      <td>34</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>983963.07</td>\n",
+       "      <td>False</td>\n",
+       "      <td>38.36</td>\n",
+       "      <td>2.540</td>\n",
+       "      <td>126.526286</td>\n",
+       "      <td>9.521</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4864</th>\n",
+       "      <td>35</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>1270658.64</td>\n",
+       "      <td>False</td>\n",
+       "      <td>32.44</td>\n",
+       "      <td>2.745</td>\n",
+       "      <td>135.465778</td>\n",
+       "      <td>9.262</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5007</th>\n",
+       "      <td>36</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>470281.03</td>\n",
+       "      <td>False</td>\n",
+       "      <td>45.66</td>\n",
+       "      <td>2.472</td>\n",
+       "      <td>210.045102</td>\n",
+       "      <td>8.554</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5150</th>\n",
+       "      <td>37</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>510382.50</td>\n",
+       "      <td>False</td>\n",
+       "      <td>45.66</td>\n",
+       "      <td>2.514</td>\n",
+       "      <td>210.045102</td>\n",
+       "      <td>8.554</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5293</th>\n",
+       "      <td>38</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>327237.92</td>\n",
+       "      <td>False</td>\n",
+       "      <td>54.83</td>\n",
+       "      <td>2.915</td>\n",
+       "      <td>126.526286</td>\n",
+       "      <td>13.975</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5436</th>\n",
+       "      <td>39</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>1230591.97</td>\n",
+       "      <td>False</td>\n",
+       "      <td>43.96</td>\n",
+       "      <td>2.514</td>\n",
+       "      <td>210.045102</td>\n",
+       "      <td>8.554</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5579</th>\n",
+       "      <td>40</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>916289.20</td>\n",
+       "      <td>False</td>\n",
+       "      <td>27.84</td>\n",
+       "      <td>2.747</td>\n",
+       "      <td>131.637000</td>\n",
+       "      <td>5.892</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5722</th>\n",
+       "      <td>41</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>1052034.74</td>\n",
+       "      <td>False</td>\n",
+       "      <td>24.13</td>\n",
+       "      <td>2.550</td>\n",
+       "      <td>189.534100</td>\n",
+       "      <td>7.541</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5865</th>\n",
+       "      <td>42</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>508794.87</td>\n",
+       "      <td>False</td>\n",
+       "      <td>58.22</td>\n",
+       "      <td>2.915</td>\n",
+       "      <td>126.526286</td>\n",
+       "      <td>9.765</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6008</th>\n",
+       "      <td>43</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>658997.55</td>\n",
+       "      <td>False</td>\n",
+       "      <td>48.77</td>\n",
+       "      <td>2.514</td>\n",
+       "      <td>203.247980</td>\n",
+       "      <td>9.521</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6151</th>\n",
+       "      <td>44</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>267956.30</td>\n",
+       "      <td>False</td>\n",
+       "      <td>35.70</td>\n",
+       "      <td>2.654</td>\n",
+       "      <td>126.526286</td>\n",
+       "      <td>8.119</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6294</th>\n",
+       "      <td>45</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "      <td>841264.04</td>\n",
+       "      <td>False</td>\n",
+       "      <td>31.27</td>\n",
+       "      <td>2.745</td>\n",
+       "      <td>182.034782</td>\n",
+       "      <td>8.992</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Store       Date  Weekly_Sales  Holiday_Flag  Temperature  Fuel_Price  \\\n",
+       "2        1 2010-02-19    1611968.17         False        39.93       2.514   \n",
+       "145      2 2010-02-19    2124451.54         False        39.69       2.514   \n",
+       "288      3 2010-02-19     421642.19         False        47.07       2.514   \n",
+       "431      4 2010-02-19    2049860.26         False        36.45       2.540   \n",
+       "574      5 2010-02-19     303447.57         False        41.14       2.514   \n",
+       "717      6 2010-02-19    1567138.07         False        43.58       2.514   \n",
+       "860      7 2010-02-19     506760.54         False        27.28       2.550   \n",
+       "1003     8 2010-02-19     963960.37         False        39.10       2.514   \n",
+       "1146     9 2010-02-19     511327.90         False        43.06       2.514   \n",
+       "1289    10 2010-02-19    2113432.58         False        58.22       2.915   \n",
+       "1432    11 2010-02-19    1503298.70         False        48.30       2.514   \n",
+       "1575    12 2010-02-19    1095421.65         False        54.83       2.915   \n",
+       "1718    13 2010-02-19    1970274.64         False        35.70       2.654   \n",
+       "1861    14 2010-02-19    2204556.70         False        31.27       2.745   \n",
+       "2004    15 2010-02-19     660838.75         False        27.54       2.909   \n",
+       "2147    16 2010-02-19     469868.70         False        21.13       2.550   \n",
+       "2290    17 2010-02-19     800714.00         False        25.06       2.654   \n",
+       "2433    18 2010-02-19    1150663.42         False        30.91       2.747   \n",
+       "2576    19 2010-02-19    1515976.11         False        28.57       2.909   \n",
+       "2719    20 2010-02-19    2161549.76         False        25.43       2.745   \n",
+       "2862    21 2010-02-19     867283.25         False        39.75       2.514   \n",
+       "3005    22 2010-02-19     988467.61         False        31.96       2.747   \n",
+       "3148    23 2010-02-19    1319588.04         False        26.70       2.747   \n",
+       "3291    24 2010-02-19    1385362.49         False        31.05       2.909   \n",
+       "3434    25 2010-02-19     676260.67         False        24.16       2.745   \n",
+       "3577    26 2010-02-19     999348.55         False        22.62       2.747   \n",
+       "3720    27 2010-02-19    1945070.33         False        32.44       2.909   \n",
+       "3863    28 2010-02-19    1491300.42         False        54.83       2.915   \n",
+       "4006    29 2010-02-19     542399.07         False        31.96       2.747   \n",
+       "4149    30 2010-02-19     463513.26         False        39.75       2.514   \n",
+       "4292    31 2010-02-19    1473386.75         False        39.75       2.514   \n",
+       "4435    32 2010-02-19    1082559.06         False        29.16       2.550   \n",
+       "4578    33 2010-02-19     296850.83         False        62.16       2.915   \n",
+       "4721    34 2010-02-19     983963.07         False        38.36       2.540   \n",
+       "4864    35 2010-02-19    1270658.64         False        32.44       2.745   \n",
+       "5007    36 2010-02-19     470281.03         False        45.66       2.472   \n",
+       "5150    37 2010-02-19     510382.50         False        45.66       2.514   \n",
+       "5293    38 2010-02-19     327237.92         False        54.83       2.915   \n",
+       "5436    39 2010-02-19    1230591.97         False        43.96       2.514   \n",
+       "5579    40 2010-02-19     916289.20         False        27.84       2.747   \n",
+       "5722    41 2010-02-19    1052034.74         False        24.13       2.550   \n",
+       "5865    42 2010-02-19     508794.87         False        58.22       2.915   \n",
+       "6008    43 2010-02-19     658997.55         False        48.77       2.514   \n",
+       "6151    44 2010-02-19     267956.30         False        35.70       2.654   \n",
+       "6294    45 2010-02-19     841264.04         False        31.27       2.745   \n",
+       "\n",
+       "             CPI  Unemployment  \n",
+       "2     211.289143         8.106  \n",
+       "145   210.945160         8.324  \n",
+       "288   214.619887         7.368  \n",
+       "431   126.526286         8.623  \n",
+       "574   211.847128         6.566  \n",
+       "717   212.816155         7.259  \n",
+       "860   189.534100         9.014  \n",
+       "1003  214.666488         6.299  \n",
+       "1146  214.850618         6.415  \n",
+       "1289  126.526286         9.765  \n",
+       "1432  214.619887         7.368  \n",
+       "1575  126.526286        13.975  \n",
+       "1718  126.526286         8.316  \n",
+       "1861  182.034782         8.992  \n",
+       "2004  131.637000         8.350  \n",
+       "2147  189.534100         7.039  \n",
+       "2290  126.526286         6.548  \n",
+       "2433  131.637000         9.202  \n",
+       "2576  131.637000         8.350  \n",
+       "2719  204.432100         8.187  \n",
+       "2862  210.945160         8.324  \n",
+       "3005  135.465778         8.283  \n",
+       "3148  131.637000         5.892  \n",
+       "3291  131.637000         8.326  \n",
+       "3434  204.432100         8.187  \n",
+       "3577  131.637000         8.488  \n",
+       "3720  135.465778         8.237  \n",
+       "3863  126.526286        13.975  \n",
+       "4006  131.637000        10.064  \n",
+       "4149  210.945160         8.324  \n",
+       "4292  210.945160         8.324  \n",
+       "4435  189.534100         9.014  \n",
+       "4578  126.526286        10.115  \n",
+       "4721  126.526286         9.521  \n",
+       "4864  135.465778         9.262  \n",
+       "5007  210.045102         8.554  \n",
+       "5150  210.045102         8.554  \n",
+       "5293  126.526286        13.975  \n",
+       "5436  210.045102         8.554  \n",
+       "5579  131.637000         5.892  \n",
+       "5722  189.534100         7.541  \n",
+       "5865  126.526286         9.765  \n",
+       "6008  203.247980         9.521  \n",
+       "6151  126.526286         8.119  \n",
+       "6294  182.034782         8.992  "
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "walmart.query(\"Date >= '2010-02-12' and Date <= '2010-02-20'\")"
    ]
   },
   {
@@ -4725,7 +5570,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 59,
    "id": "7c65adca",
    "metadata": {},
    "outputs": [
@@ -4735,7 +5580,7 @@
        "Timestamp('2010-05-02 00:00:00')"
       ]
      },
-     "execution_count": 57,
+     "execution_count": 59,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4746,7 +5591,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 60,
    "id": "05905c2e",
    "metadata": {},
    "outputs": [
@@ -4831,7 +5676,7 @@
        "2  211.289143         8.106  "
       ]
      },
-     "execution_count": 58,
+     "execution_count": 60,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4842,7 +5687,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 61,
    "id": "e3c3571c",
    "metadata": {},
    "outputs": [
@@ -4860,7 +5705,7 @@
        "Name: 0, dtype: object"
       ]
      },
-     "execution_count": 59,
+     "execution_count": 61,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4879,7 +5724,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 62,
    "id": "12065538",
    "metadata": {},
    "outputs": [
@@ -5071,7 +5916,7 @@
        "[6435 rows x 8 columns]"
       ]
      },
-     "execution_count": 60,
+     "execution_count": 62,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5082,7 +5927,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 63,
    "id": "b1423f3b",
    "metadata": {},
    "outputs": [
@@ -5274,7 +6119,7 @@
        "[450 rows x 8 columns]"
       ]
      },
-     "execution_count": 61,
+     "execution_count": 63,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5285,7 +6130,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 64,
    "id": "97a02044",
    "metadata": {},
    "outputs": [
@@ -5357,7 +6202,7 @@
        "79  215.605788         7.962  "
       ]
      },
-     "execution_count": 62,
+     "execution_count": 64,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5366,6 +6211,115 @@
     "walmart.loc[(walmart['Temperature'] > 90) & (walmart['Store'] == 1)]"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "id": "c149e192",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Store</th>\n",
+       "      <th>Date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2010-05-02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2010-12-02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2010-02-19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2010-02-26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2010-05-03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2010-12-03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2010-03-19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2010-03-26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2010-02-04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2010-09-04</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Store       Date\n",
+       "0     1 2010-05-02\n",
+       "1     1 2010-12-02\n",
+       "2     1 2010-02-19\n",
+       "3     1 2010-02-26\n",
+       "4     1 2010-05-03\n",
+       "5     1 2010-12-03\n",
+       "6     1 2010-03-19\n",
+       "7     1 2010-03-26\n",
+       "8     1 2010-02-04\n",
+       "9     1 2010-09-04"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "walmart.loc[walmart.index[0:10],[\"Store\", \"Date\"]]"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "f6d295ef",
@@ -5377,7 +6331,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 66,
    "id": "af7a6528",
    "metadata": {},
    "outputs": [
@@ -5387,7 +6341,7 @@
        "[91.65, 35.4]"
       ]
      },
-     "execution_count": 63,
+     "execution_count": 66,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5398,7 +6352,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 67,
    "id": "6791a5b3",
    "metadata": {},
    "outputs": [
@@ -5408,7 +6362,7 @@
        "[91.65, 35.4]"
       ]
      },
-     "execution_count": 64,
+     "execution_count": 67,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5427,7 +6381,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 68,
    "id": "2b106129",
    "metadata": {},
    "outputs": [
@@ -5437,7 +6391,7 @@
        "[91.65, 35.4]"
       ]
      },
-     "execution_count": 65,
+     "execution_count": 68,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5448,7 +6402,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 69,
    "id": "a5481fcf",
    "metadata": {},
    "outputs": [
@@ -5458,7 +6412,7 @@
        "[91.65, 35.4]"
       ]
      },
-     "execution_count": 66,
+     "execution_count": 69,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5477,7 +6431,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 70,
    "id": "47f244eb",
    "metadata": {},
    "outputs": [
@@ -5669,7 +6623,7 @@
        "[6435 rows x 8 columns]"
       ]
      },
-     "execution_count": 67,
+     "execution_count": 70,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5689,7 +6643,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 71,
    "id": "80d539d2",
    "metadata": {},
    "outputs": [
@@ -5796,7 +6750,7 @@
        "[6435 rows x 2 columns]"
       ]
      },
-     "execution_count": 68,
+     "execution_count": 71,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5815,7 +6769,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 72,
    "id": "c86cbaf0",
    "metadata": {},
    "outputs": [
@@ -5946,7 +6900,7 @@
        "[6435 rows x 4 columns]"
       ]
      },
-     "execution_count": 69,
+     "execution_count": 72,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5965,7 +6919,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 73,
    "id": "d0d19fe9",
    "metadata": {},
    "outputs": [
@@ -6157,7 +7111,7 @@
        "[234 rows x 8 columns]"
       ]
      },
-     "execution_count": 70,
+     "execution_count": 73,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6176,7 +7130,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 74,
    "id": "21739696",
    "metadata": {},
    "outputs": [
@@ -6356,7 +7310,7 @@
        "[6435 rows x 7 columns]"
       ]
      },
-     "execution_count": 71,
+     "execution_count": 74,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6376,7 +7330,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 75,
    "id": "2499e4d4",
    "metadata": {},
    "outputs": [
@@ -6556,7 +7510,7 @@
        "[6434 rows x 7 columns]"
       ]
      },
-     "execution_count": 72,
+     "execution_count": 75,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6567,7 +7521,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 76,
    "id": "c86eed4e",
    "metadata": {},
    "outputs": [
@@ -6747,7 +7701,7 @@
        "[6433 rows x 7 columns]"
       ]
      },
-     "execution_count": 73,
+     "execution_count": 76,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6766,7 +7720,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 77,
    "id": "f97d5f23",
    "metadata": {},
    "outputs": [
@@ -6946,7 +7900,7 @@
        "[6435 rows x 7 columns]"
       ]
      },
-     "execution_count": 74,
+     "execution_count": 77,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6965,7 +7919,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 78,
    "id": "4f14c1e7",
    "metadata": {},
    "outputs": [
@@ -7145,7 +8099,7 @@
        "[6433 rows x 7 columns]"
       ]
      },
-     "execution_count": 75,
+     "execution_count": 78,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7165,7 +8119,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 79,
    "id": "47d3a20c",
    "metadata": {},
    "outputs": [
@@ -7308,7 +8262,7 @@
        "[6433 rows x 5 columns]"
       ]
      },
-     "execution_count": 76,
+     "execution_count": 79,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7328,7 +8282,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 80,
    "id": "9d2856be",
    "metadata": {},
    "outputs": [],
@@ -7339,7 +8293,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 81,
    "id": "9a1475c4",
    "metadata": {},
    "outputs": [
@@ -7491,7 +8445,7 @@
        "[6433 rows x 5 columns]"
       ]
      },
-     "execution_count": 78,
+     "execution_count": 81,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7510,7 +8464,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 82,
    "id": "ff658059",
    "metadata": {},
    "outputs": [
@@ -7662,7 +8616,7 @@
        "[143 rows x 5 columns]"
       ]
      },
-     "execution_count": 79,
+     "execution_count": 82,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7682,7 +8636,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 83,
    "id": "905b69e2",
    "metadata": {},
    "outputs": [
@@ -7754,7 +8708,7 @@
        "6        Friday: Take the train at 08:10 am."
       ]
      },
-     "execution_count": 80,
+     "execution_count": 83,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7774,7 +8728,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 84,
    "id": "f650df0d",
    "metadata": {},
    "outputs": [
@@ -7870,7 +8824,7 @@
        "6        friday: take the train at 08:10 am.        35           7    False"
       ]
      },
-     "execution_count": 81,
+     "execution_count": 84,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7894,7 +8848,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 85,
    "id": "bf5aaaee",
    "metadata": {},
    "outputs": [
@@ -8046,7 +9000,7 @@
        "[143 rows x 5 columns]"
       ]
      },
-     "execution_count": 82,
+     "execution_count": 85,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8071,7 +9025,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 86,
    "id": "bc997d38",
    "metadata": {},
    "outputs": [
@@ -8079,1158 +9033,1158 @@
      "data": {
       "text/html": [
        "<style  type=\"text/css\" >\n",
-       "</style><table id=\"T_b3bcd_\" ><thead>    <tr>        <th class=\"index_name level0\" >dados</th>        <th class=\"col_heading level0 col0\" >loja</th>        <th class=\"col_heading level0 col1\" >data</th>        <th class=\"col_heading level0 col2\" >vendas_semanais</th>        <th class=\"col_heading level0 col3\" >feriado</th>        <th class=\"col_heading level0 col4\" >temperatura</th>    </tr>    <tr>        <th class=\"index_name level0\" >indice</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
+       "</style><table id=\"T_ee0f7_\" ><thead>    <tr>        <th class=\"index_name level0\" >dados</th>        <th class=\"col_heading level0 col0\" >loja</th>        <th class=\"col_heading level0 col1\" >data</th>        <th class=\"col_heading level0 col2\" >vendas_semanais</th>        <th class=\"col_heading level0 col3\" >feriado</th>        <th class=\"col_heading level0 col4\" >temperatura</th>    </tr>    <tr>        <th class=\"index_name level0\" >indice</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
        "                <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
-       "                        <td id=\"T_b3bcd_row0_col0\" class=\"data row0 col0\" >1</td>\n",
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-       "                        <td id=\"T_b3bcd_row0_col2\" class=\"data row0 col2\" >$ 1643690.90</td>\n",
-       "                        <td id=\"T_b3bcd_row0_col3\" class=\"data row0 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row0_col4\" class=\"data row0 col4\" >42.31º</td>\n",
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        "            </tr>\n",
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-       "                        <td id=\"T_b3bcd_row1_col4\" class=\"data row1 col4\" >38.51º</td>\n",
+       "            <tr>\n",
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        "            </tr>\n",
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-       "                        <th id=\"T_b3bcd_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
-       "                        <td id=\"T_b3bcd_row2_col0\" class=\"data row2 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row2_col1\" class=\"data row2 col1\" >19/02/10</td>\n",
-       "                        <td id=\"T_b3bcd_row2_col2\" class=\"data row2 col2\" >$ 1611968.17</td>\n",
-       "                        <td id=\"T_b3bcd_row2_col3\" class=\"data row2 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row2_col4\" class=\"data row2 col4\" >39.93º</td>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_ee0f7_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+       "                        <td id=\"T_ee0f7_row2_col0\" class=\"data row2 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row2_col1\" class=\"data row2 col1\" >19/02/10</td>\n",
+       "                        <td id=\"T_ee0f7_row2_col2\" class=\"data row2 col2\" >$ 1611968.17</td>\n",
+       "                        <td id=\"T_ee0f7_row2_col3\" class=\"data row2 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row2_col4\" class=\"data row2 col4\" >39.93º</td>\n",
        "            </tr>\n",
-       "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
-       "                        <td id=\"T_b3bcd_row3_col0\" class=\"data row3 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row3_col1\" class=\"data row3 col1\" >26/02/10</td>\n",
-       "                        <td id=\"T_b3bcd_row3_col2\" class=\"data row3 col2\" >$ 1409727.59</td>\n",
-       "                        <td id=\"T_b3bcd_row3_col3\" class=\"data row3 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row3_col4\" class=\"data row3 col4\" >46.63º</td>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_ee0f7_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+       "                        <td id=\"T_ee0f7_row3_col0\" class=\"data row3 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row3_col1\" class=\"data row3 col1\" >26/02/10</td>\n",
+       "                        <td id=\"T_ee0f7_row3_col2\" class=\"data row3 col2\" >$ 1409727.59</td>\n",
+       "                        <td id=\"T_ee0f7_row3_col3\" class=\"data row3 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row3_col4\" class=\"data row3 col4\" >46.63º</td>\n",
        "            </tr>\n",
-       "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
-       "                        <td id=\"T_b3bcd_row4_col0\" class=\"data row4 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row4_col1\" class=\"data row4 col1\" >03/05/10</td>\n",
-       "                        <td id=\"T_b3bcd_row4_col2\" class=\"data row4 col2\" >$ 1554806.68</td>\n",
-       "                        <td id=\"T_b3bcd_row4_col3\" class=\"data row4 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row4_col4\" class=\"data row4 col4\" >46.50º</td>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_ee0f7_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+       "                        <td id=\"T_ee0f7_row4_col0\" class=\"data row4 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row4_col1\" class=\"data row4 col1\" >03/05/10</td>\n",
+       "                        <td id=\"T_ee0f7_row4_col2\" class=\"data row4 col2\" >$ 1554806.68</td>\n",
+       "                        <td id=\"T_ee0f7_row4_col3\" class=\"data row4 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row4_col4\" class=\"data row4 col4\" >46.50º</td>\n",
        "            </tr>\n",
-       "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
-       "                        <td id=\"T_b3bcd_row5_col0\" class=\"data row5 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row5_col1\" class=\"data row5 col1\" >03/12/10</td>\n",
-       "                        <td id=\"T_b3bcd_row5_col2\" class=\"data row5 col2\" >$ 1439541.59</td>\n",
-       "                        <td id=\"T_b3bcd_row5_col3\" class=\"data row5 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row5_col4\" class=\"data row5 col4\" >57.79º</td>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_ee0f7_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
+       "                        <td id=\"T_ee0f7_row5_col0\" class=\"data row5 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row5_col1\" class=\"data row5 col1\" >03/12/10</td>\n",
+       "                        <td id=\"T_ee0f7_row5_col2\" class=\"data row5 col2\" >$ 1439541.59</td>\n",
+       "                        <td id=\"T_ee0f7_row5_col3\" class=\"data row5 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row5_col4\" class=\"data row5 col4\" >57.79º</td>\n",
        "            </tr>\n",
-       "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
-       "                        <td id=\"T_b3bcd_row6_col0\" class=\"data row6 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row6_col1\" class=\"data row6 col1\" >19/03/10</td>\n",
-       "                        <td id=\"T_b3bcd_row6_col2\" class=\"data row6 col2\" >$ 1472515.79</td>\n",
-       "                        <td id=\"T_b3bcd_row6_col3\" class=\"data row6 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row6_col4\" class=\"data row6 col4\" >54.58º</td>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_ee0f7_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
+       "                        <td id=\"T_ee0f7_row6_col0\" class=\"data row6 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row6_col1\" class=\"data row6 col1\" >19/03/10</td>\n",
+       "                        <td id=\"T_ee0f7_row6_col2\" class=\"data row6 col2\" >$ 1472515.79</td>\n",
+       "                        <td id=\"T_ee0f7_row6_col3\" class=\"data row6 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row6_col4\" class=\"data row6 col4\" >54.58º</td>\n",
        "            </tr>\n",
-       "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
-       "                        <td id=\"T_b3bcd_row7_col0\" class=\"data row7 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row7_col1\" class=\"data row7 col1\" >26/03/10</td>\n",
-       "                        <td id=\"T_b3bcd_row7_col2\" class=\"data row7 col2\" >$ 1404429.92</td>\n",
-       "                        <td id=\"T_b3bcd_row7_col3\" class=\"data row7 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row7_col4\" class=\"data row7 col4\" >51.45º</td>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_ee0f7_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
+       "                        <td id=\"T_ee0f7_row7_col0\" class=\"data row7 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row7_col1\" class=\"data row7 col1\" >26/03/10</td>\n",
+       "                        <td id=\"T_ee0f7_row7_col2\" class=\"data row7 col2\" >$ 1404429.92</td>\n",
+       "                        <td id=\"T_ee0f7_row7_col3\" class=\"data row7 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row7_col4\" class=\"data row7 col4\" >51.45º</td>\n",
        "            </tr>\n",
-       "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
-       "                        <td id=\"T_b3bcd_row8_col0\" class=\"data row8 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row8_col1\" class=\"data row8 col1\" >04/02/10</td>\n",
-       "                        <td id=\"T_b3bcd_row8_col2\" class=\"data row8 col2\" >$ 1594968.28</td>\n",
-       "                        <td id=\"T_b3bcd_row8_col3\" class=\"data row8 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row8_col4\" class=\"data row8 col4\" >62.27º</td>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_ee0f7_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
+       "                        <td id=\"T_ee0f7_row8_col0\" class=\"data row8 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row8_col1\" class=\"data row8 col1\" >04/02/10</td>\n",
+       "                        <td id=\"T_ee0f7_row8_col2\" class=\"data row8 col2\" >$ 1594968.28</td>\n",
+       "                        <td id=\"T_ee0f7_row8_col3\" class=\"data row8 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row8_col4\" class=\"data row8 col4\" >62.27º</td>\n",
        "            </tr>\n",
-       "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
-       "                        <td id=\"T_b3bcd_row9_col0\" class=\"data row9 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row9_col1\" class=\"data row9 col1\" >04/09/10</td>\n",
-       "                        <td id=\"T_b3bcd_row9_col2\" class=\"data row9 col2\" >$ 1545418.53</td>\n",
-       "                        <td id=\"T_b3bcd_row9_col3\" class=\"data row9 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row9_col4\" class=\"data row9 col4\" >65.86º</td>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_ee0f7_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
+       "                        <td id=\"T_ee0f7_row9_col0\" class=\"data row9 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row9_col1\" class=\"data row9 col1\" >04/09/10</td>\n",
+       "                        <td id=\"T_ee0f7_row9_col2\" class=\"data row9 col2\" >$ 1545418.53</td>\n",
+       "                        <td id=\"T_ee0f7_row9_col3\" class=\"data row9 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row9_col4\" class=\"data row9 col4\" >65.86º</td>\n",
        "            </tr>\n",
-       "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
-       "                        <td id=\"T_b3bcd_row10_col0\" class=\"data row10 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row10_col1\" class=\"data row10 col1\" >16/04/10</td>\n",
-       "                        <td id=\"T_b3bcd_row10_col2\" class=\"data row10 col2\" >$ 1466058.28</td>\n",
-       "                        <td id=\"T_b3bcd_row10_col3\" class=\"data row10 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row10_col4\" class=\"data row10 col4\" >66.32º</td>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_ee0f7_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
+       "                        <td id=\"T_ee0f7_row10_col0\" class=\"data row10 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row10_col1\" class=\"data row10 col1\" >16/04/10</td>\n",
+       "                        <td id=\"T_ee0f7_row10_col2\" class=\"data row10 col2\" >$ 1466058.28</td>\n",
+       "                        <td id=\"T_ee0f7_row10_col3\" class=\"data row10 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row10_col4\" class=\"data row10 col4\" >66.32º</td>\n",
        "            </tr>\n",
-       "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
-       "                        <td id=\"T_b3bcd_row11_col0\" class=\"data row11 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row11_col1\" class=\"data row11 col1\" >23/04/10</td>\n",
-       "                        <td id=\"T_b3bcd_row11_col2\" class=\"data row11 col2\" >$ 1391256.12</td>\n",
-       "                        <td id=\"T_b3bcd_row11_col3\" class=\"data row11 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row11_col4\" class=\"data row11 col4\" >64.84º</td>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_ee0f7_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
+       "                        <td id=\"T_ee0f7_row11_col0\" class=\"data row11 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row11_col1\" class=\"data row11 col1\" >23/04/10</td>\n",
+       "                        <td id=\"T_ee0f7_row11_col2\" class=\"data row11 col2\" >$ 1391256.12</td>\n",
+       "                        <td id=\"T_ee0f7_row11_col3\" class=\"data row11 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row11_col4\" class=\"data row11 col4\" >64.84º</td>\n",
        "            </tr>\n",
-       "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
-       "                        <td id=\"T_b3bcd_row12_col0\" class=\"data row12 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row12_col1\" class=\"data row12 col1\" >30/04/10</td>\n",
-       "                        <td id=\"T_b3bcd_row12_col2\" class=\"data row12 col2\" >$ 1425100.71</td>\n",
-       "                        <td id=\"T_b3bcd_row12_col3\" class=\"data row12 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row12_col4\" class=\"data row12 col4\" >67.41º</td>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_ee0f7_level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
+       "                        <td id=\"T_ee0f7_row12_col0\" class=\"data row12 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row12_col1\" class=\"data row12 col1\" >30/04/10</td>\n",
+       "                        <td id=\"T_ee0f7_row12_col2\" class=\"data row12 col2\" >$ 1425100.71</td>\n",
+       "                        <td id=\"T_ee0f7_row12_col3\" class=\"data row12 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row12_col4\" class=\"data row12 col4\" >67.41º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
-       "                        <td id=\"T_b3bcd_row13_col0\" class=\"data row13 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row13_col1\" class=\"data row13 col1\" >05/07/10</td>\n",
-       "                        <td id=\"T_b3bcd_row13_col2\" class=\"data row13 col2\" >$ 1603955.12</td>\n",
-       "                        <td id=\"T_b3bcd_row13_col3\" class=\"data row13 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row13_col4\" class=\"data row13 col4\" >72.55º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
+       "                        <td id=\"T_ee0f7_row13_col0\" class=\"data row13 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row13_col1\" class=\"data row13 col1\" >05/07/10</td>\n",
+       "                        <td id=\"T_ee0f7_row13_col2\" class=\"data row13 col2\" >$ 1603955.12</td>\n",
+       "                        <td id=\"T_ee0f7_row13_col3\" class=\"data row13 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row13_col4\" class=\"data row13 col4\" >72.55º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
-       "                        <td id=\"T_b3bcd_row14_col0\" class=\"data row14 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row14_col1\" class=\"data row14 col1\" >14/05/10</td>\n",
-       "                        <td id=\"T_b3bcd_row14_col2\" class=\"data row14 col2\" >$ 1494251.50</td>\n",
-       "                        <td id=\"T_b3bcd_row14_col3\" class=\"data row14 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row14_col4\" class=\"data row14 col4\" >74.78º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
+       "                        <td id=\"T_ee0f7_row14_col0\" class=\"data row14 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row14_col1\" class=\"data row14 col1\" >14/05/10</td>\n",
+       "                        <td id=\"T_ee0f7_row14_col2\" class=\"data row14 col2\" >$ 1494251.50</td>\n",
+       "                        <td id=\"T_ee0f7_row14_col3\" class=\"data row14 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row14_col4\" class=\"data row14 col4\" >74.78º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
-       "                        <td id=\"T_b3bcd_row15_col0\" class=\"data row15 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row15_col1\" class=\"data row15 col1\" >21/05/10</td>\n",
-       "                        <td id=\"T_b3bcd_row15_col2\" class=\"data row15 col2\" >$ 1399662.07</td>\n",
-       "                        <td id=\"T_b3bcd_row15_col3\" class=\"data row15 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row15_col4\" class=\"data row15 col4\" >76.44º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
+       "                        <td id=\"T_ee0f7_row15_col0\" class=\"data row15 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row15_col1\" class=\"data row15 col1\" >21/05/10</td>\n",
+       "                        <td id=\"T_ee0f7_row15_col2\" class=\"data row15 col2\" >$ 1399662.07</td>\n",
+       "                        <td id=\"T_ee0f7_row15_col3\" class=\"data row15 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row15_col4\" class=\"data row15 col4\" >76.44º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
-       "                        <td id=\"T_b3bcd_row16_col0\" class=\"data row16 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row16_col1\" class=\"data row16 col1\" >28/05/10</td>\n",
-       "                        <td id=\"T_b3bcd_row16_col2\" class=\"data row16 col2\" >$ 1432069.95</td>\n",
-       "                        <td id=\"T_b3bcd_row16_col3\" class=\"data row16 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row16_col4\" class=\"data row16 col4\" >80.44º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
+       "                        <td id=\"T_ee0f7_row16_col0\" class=\"data row16 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row16_col1\" class=\"data row16 col1\" >28/05/10</td>\n",
+       "                        <td id=\"T_ee0f7_row16_col2\" class=\"data row16 col2\" >$ 1432069.95</td>\n",
+       "                        <td id=\"T_ee0f7_row16_col3\" class=\"data row16 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row16_col4\" class=\"data row16 col4\" >80.44º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
-       "                        <td id=\"T_b3bcd_row17_col0\" class=\"data row17 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row17_col1\" class=\"data row17 col1\" >06/04/10</td>\n",
-       "                        <td id=\"T_b3bcd_row17_col2\" class=\"data row17 col2\" >$ 1615524.71</td>\n",
-       "                        <td id=\"T_b3bcd_row17_col3\" class=\"data row17 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row17_col4\" class=\"data row17 col4\" >80.69º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
+       "                        <td id=\"T_ee0f7_row17_col0\" class=\"data row17 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row17_col1\" class=\"data row17 col1\" >06/04/10</td>\n",
+       "                        <td id=\"T_ee0f7_row17_col2\" class=\"data row17 col2\" >$ 1615524.71</td>\n",
+       "                        <td id=\"T_ee0f7_row17_col3\" class=\"data row17 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row17_col4\" class=\"data row17 col4\" >80.69º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row18\" class=\"row_heading level0 row18\" >18</th>\n",
-       "                        <td id=\"T_b3bcd_row18_col0\" class=\"data row18 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row18_col1\" class=\"data row18 col1\" >06/11/10</td>\n",
-       "                        <td id=\"T_b3bcd_row18_col2\" class=\"data row18 col2\" >$ 1542561.09</td>\n",
-       "                        <td id=\"T_b3bcd_row18_col3\" class=\"data row18 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row18_col4\" class=\"data row18 col4\" >80.43º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row18\" class=\"row_heading level0 row18\" >18</th>\n",
+       "                        <td id=\"T_ee0f7_row18_col0\" class=\"data row18 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row18_col1\" class=\"data row18 col1\" >06/11/10</td>\n",
+       "                        <td id=\"T_ee0f7_row18_col2\" class=\"data row18 col2\" >$ 1542561.09</td>\n",
+       "                        <td id=\"T_ee0f7_row18_col3\" class=\"data row18 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row18_col4\" class=\"data row18 col4\" >80.43º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row19\" class=\"row_heading level0 row19\" >19</th>\n",
-       "                        <td id=\"T_b3bcd_row19_col0\" class=\"data row19 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row19_col1\" class=\"data row19 col1\" >18/06/10</td>\n",
-       "                        <td id=\"T_b3bcd_row19_col2\" class=\"data row19 col2\" >$ 1503284.06</td>\n",
-       "                        <td id=\"T_b3bcd_row19_col3\" class=\"data row19 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row19_col4\" class=\"data row19 col4\" >84.11º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row19\" class=\"row_heading level0 row19\" >19</th>\n",
+       "                        <td id=\"T_ee0f7_row19_col0\" class=\"data row19 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row19_col1\" class=\"data row19 col1\" >18/06/10</td>\n",
+       "                        <td id=\"T_ee0f7_row19_col2\" class=\"data row19 col2\" >$ 1503284.06</td>\n",
+       "                        <td id=\"T_ee0f7_row19_col3\" class=\"data row19 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row19_col4\" class=\"data row19 col4\" >84.11º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row20\" class=\"row_heading level0 row20\" >20</th>\n",
-       "                        <td id=\"T_b3bcd_row20_col0\" class=\"data row20 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row20_col1\" class=\"data row20 col1\" >25/06/10</td>\n",
-       "                        <td id=\"T_b3bcd_row20_col2\" class=\"data row20 col2\" >$ 1422711.60</td>\n",
-       "                        <td id=\"T_b3bcd_row20_col3\" class=\"data row20 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row20_col4\" class=\"data row20 col4\" >84.34º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row20\" class=\"row_heading level0 row20\" >20</th>\n",
+       "                        <td id=\"T_ee0f7_row20_col0\" class=\"data row20 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row20_col1\" class=\"data row20 col1\" >25/06/10</td>\n",
+       "                        <td id=\"T_ee0f7_row20_col2\" class=\"data row20 col2\" >$ 1422711.60</td>\n",
+       "                        <td id=\"T_ee0f7_row20_col3\" class=\"data row20 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row20_col4\" class=\"data row20 col4\" >84.34º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row21\" class=\"row_heading level0 row21\" >21</th>\n",
-       "                        <td id=\"T_b3bcd_row21_col0\" class=\"data row21 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row21_col1\" class=\"data row21 col1\" >07/02/10</td>\n",
-       "                        <td id=\"T_b3bcd_row21_col2\" class=\"data row21 col2\" >$ 1492418.14</td>\n",
-       "                        <td id=\"T_b3bcd_row21_col3\" class=\"data row21 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row21_col4\" class=\"data row21 col4\" >80.91º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row21\" class=\"row_heading level0 row21\" >21</th>\n",
+       "                        <td id=\"T_ee0f7_row21_col0\" class=\"data row21 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row21_col1\" class=\"data row21 col1\" >07/02/10</td>\n",
+       "                        <td id=\"T_ee0f7_row21_col2\" class=\"data row21 col2\" >$ 1492418.14</td>\n",
+       "                        <td id=\"T_ee0f7_row21_col3\" class=\"data row21 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row21_col4\" class=\"data row21 col4\" >80.91º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row22\" class=\"row_heading level0 row22\" >22</th>\n",
-       "                        <td id=\"T_b3bcd_row22_col0\" class=\"data row22 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row22_col1\" class=\"data row22 col1\" >07/09/10</td>\n",
-       "                        <td id=\"T_b3bcd_row22_col2\" class=\"data row22 col2\" >$ 1546074.18</td>\n",
-       "                        <td id=\"T_b3bcd_row22_col3\" class=\"data row22 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row22_col4\" class=\"data row22 col4\" >80.48º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row22\" class=\"row_heading level0 row22\" >22</th>\n",
+       "                        <td id=\"T_ee0f7_row22_col0\" class=\"data row22 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row22_col1\" class=\"data row22 col1\" >07/09/10</td>\n",
+       "                        <td id=\"T_ee0f7_row22_col2\" class=\"data row22 col2\" >$ 1546074.18</td>\n",
+       "                        <td id=\"T_ee0f7_row22_col3\" class=\"data row22 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row22_col4\" class=\"data row22 col4\" >80.48º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row23\" class=\"row_heading level0 row23\" >23</th>\n",
-       "                        <td id=\"T_b3bcd_row23_col0\" class=\"data row23 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row23_col1\" class=\"data row23 col1\" >16/07/10</td>\n",
-       "                        <td id=\"T_b3bcd_row23_col2\" class=\"data row23 col2\" >$ 1448938.92</td>\n",
-       "                        <td id=\"T_b3bcd_row23_col3\" class=\"data row23 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row23_col4\" class=\"data row23 col4\" >83.15º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row23\" class=\"row_heading level0 row23\" >23</th>\n",
+       "                        <td id=\"T_ee0f7_row23_col0\" class=\"data row23 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row23_col1\" class=\"data row23 col1\" >16/07/10</td>\n",
+       "                        <td id=\"T_ee0f7_row23_col2\" class=\"data row23 col2\" >$ 1448938.92</td>\n",
+       "                        <td id=\"T_ee0f7_row23_col3\" class=\"data row23 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row23_col4\" class=\"data row23 col4\" >83.15º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row24\" class=\"row_heading level0 row24\" >24</th>\n",
-       "                        <td id=\"T_b3bcd_row24_col0\" class=\"data row24 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row24_col1\" class=\"data row24 col1\" >23/07/10</td>\n",
-       "                        <td id=\"T_b3bcd_row24_col2\" class=\"data row24 col2\" >$ 1385065.20</td>\n",
-       "                        <td id=\"T_b3bcd_row24_col3\" class=\"data row24 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row24_col4\" class=\"data row24 col4\" >83.36º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row24\" class=\"row_heading level0 row24\" >24</th>\n",
+       "                        <td id=\"T_ee0f7_row24_col0\" class=\"data row24 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row24_col1\" class=\"data row24 col1\" >23/07/10</td>\n",
+       "                        <td id=\"T_ee0f7_row24_col2\" class=\"data row24 col2\" >$ 1385065.20</td>\n",
+       "                        <td id=\"T_ee0f7_row24_col3\" class=\"data row24 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row24_col4\" class=\"data row24 col4\" >83.36º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row25\" class=\"row_heading level0 row25\" >25</th>\n",
-       "                        <td id=\"T_b3bcd_row25_col0\" class=\"data row25 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row25_col1\" class=\"data row25 col1\" >30/07/10</td>\n",
-       "                        <td id=\"T_b3bcd_row25_col2\" class=\"data row25 col2\" >$ 1371986.60</td>\n",
-       "                        <td id=\"T_b3bcd_row25_col3\" class=\"data row25 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row25_col4\" class=\"data row25 col4\" >81.84º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row25\" class=\"row_heading level0 row25\" >25</th>\n",
+       "                        <td id=\"T_ee0f7_row25_col0\" class=\"data row25 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row25_col1\" class=\"data row25 col1\" >30/07/10</td>\n",
+       "                        <td id=\"T_ee0f7_row25_col2\" class=\"data row25 col2\" >$ 1371986.60</td>\n",
+       "                        <td id=\"T_ee0f7_row25_col3\" class=\"data row25 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row25_col4\" class=\"data row25 col4\" >81.84º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row26\" class=\"row_heading level0 row26\" >26</th>\n",
-       "                        <td id=\"T_b3bcd_row26_col0\" class=\"data row26 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row26_col1\" class=\"data row26 col1\" >08/06/10</td>\n",
-       "                        <td id=\"T_b3bcd_row26_col2\" class=\"data row26 col2\" >$ 1605491.78</td>\n",
-       "                        <td id=\"T_b3bcd_row26_col3\" class=\"data row26 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row26_col4\" class=\"data row26 col4\" >87.16º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row26\" class=\"row_heading level0 row26\" >26</th>\n",
+       "                        <td id=\"T_ee0f7_row26_col0\" class=\"data row26 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row26_col1\" class=\"data row26 col1\" >08/06/10</td>\n",
+       "                        <td id=\"T_ee0f7_row26_col2\" class=\"data row26 col2\" >$ 1605491.78</td>\n",
+       "                        <td id=\"T_ee0f7_row26_col3\" class=\"data row26 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row26_col4\" class=\"data row26 col4\" >87.16º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row27\" class=\"row_heading level0 row27\" >27</th>\n",
-       "                        <td id=\"T_b3bcd_row27_col0\" class=\"data row27 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row27_col1\" class=\"data row27 col1\" >13/08/10</td>\n",
-       "                        <td id=\"T_b3bcd_row27_col2\" class=\"data row27 col2\" >$ 1508237.76</td>\n",
-       "                        <td id=\"T_b3bcd_row27_col3\" class=\"data row27 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row27_col4\" class=\"data row27 col4\" >87.00º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row27\" class=\"row_heading level0 row27\" >27</th>\n",
+       "                        <td id=\"T_ee0f7_row27_col0\" class=\"data row27 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row27_col1\" class=\"data row27 col1\" >13/08/10</td>\n",
+       "                        <td id=\"T_ee0f7_row27_col2\" class=\"data row27 col2\" >$ 1508237.76</td>\n",
+       "                        <td id=\"T_ee0f7_row27_col3\" class=\"data row27 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row27_col4\" class=\"data row27 col4\" >87.00º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row28\" class=\"row_heading level0 row28\" >28</th>\n",
-       "                        <td id=\"T_b3bcd_row28_col0\" class=\"data row28 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row28_col1\" class=\"data row28 col1\" >20/08/10</td>\n",
-       "                        <td id=\"T_b3bcd_row28_col2\" class=\"data row28 col2\" >$ 1513080.49</td>\n",
-       "                        <td id=\"T_b3bcd_row28_col3\" class=\"data row28 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row28_col4\" class=\"data row28 col4\" >86.65º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row28\" class=\"row_heading level0 row28\" >28</th>\n",
+       "                        <td id=\"T_ee0f7_row28_col0\" class=\"data row28 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row28_col1\" class=\"data row28 col1\" >20/08/10</td>\n",
+       "                        <td id=\"T_ee0f7_row28_col2\" class=\"data row28 col2\" >$ 1513080.49</td>\n",
+       "                        <td id=\"T_ee0f7_row28_col3\" class=\"data row28 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row28_col4\" class=\"data row28 col4\" >86.65º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row29\" class=\"row_heading level0 row29\" >29</th>\n",
-       "                        <td id=\"T_b3bcd_row29_col0\" class=\"data row29 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row29_col1\" class=\"data row29 col1\" >27/08/10</td>\n",
-       "                        <td id=\"T_b3bcd_row29_col2\" class=\"data row29 col2\" >$ 1449142.92</td>\n",
-       "                        <td id=\"T_b3bcd_row29_col3\" class=\"data row29 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row29_col4\" class=\"data row29 col4\" >85.22º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row29\" class=\"row_heading level0 row29\" >29</th>\n",
+       "                        <td id=\"T_ee0f7_row29_col0\" class=\"data row29 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row29_col1\" class=\"data row29 col1\" >27/08/10</td>\n",
+       "                        <td id=\"T_ee0f7_row29_col2\" class=\"data row29 col2\" >$ 1449142.92</td>\n",
+       "                        <td id=\"T_ee0f7_row29_col3\" class=\"data row29 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row29_col4\" class=\"data row29 col4\" >85.22º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row30\" class=\"row_heading level0 row30\" >30</th>\n",
-       "                        <td id=\"T_b3bcd_row30_col0\" class=\"data row30 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row30_col1\" class=\"data row30 col1\" >09/03/10</td>\n",
-       "                        <td id=\"T_b3bcd_row30_col2\" class=\"data row30 col2\" >$ 1540163.53</td>\n",
-       "                        <td id=\"T_b3bcd_row30_col3\" class=\"data row30 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row30_col4\" class=\"data row30 col4\" >81.21º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row30\" class=\"row_heading level0 row30\" >30</th>\n",
+       "                        <td id=\"T_ee0f7_row30_col0\" class=\"data row30 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row30_col1\" class=\"data row30 col1\" >09/03/10</td>\n",
+       "                        <td id=\"T_ee0f7_row30_col2\" class=\"data row30 col2\" >$ 1540163.53</td>\n",
+       "                        <td id=\"T_ee0f7_row30_col3\" class=\"data row30 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row30_col4\" class=\"data row30 col4\" >81.21º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row31\" class=\"row_heading level0 row31\" >31</th>\n",
-       "                        <td id=\"T_b3bcd_row31_col0\" class=\"data row31 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row31_col1\" class=\"data row31 col1\" >09/10/10</td>\n",
-       "                        <td id=\"T_b3bcd_row31_col2\" class=\"data row31 col2\" >$ 1507460.69</td>\n",
-       "                        <td id=\"T_b3bcd_row31_col3\" class=\"data row31 col3\" >True</td>\n",
-       "                        <td id=\"T_b3bcd_row31_col4\" class=\"data row31 col4\" >78.69º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row31\" class=\"row_heading level0 row31\" >31</th>\n",
+       "                        <td id=\"T_ee0f7_row31_col0\" class=\"data row31 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row31_col1\" class=\"data row31 col1\" >09/10/10</td>\n",
+       "                        <td id=\"T_ee0f7_row31_col2\" class=\"data row31 col2\" >$ 1507460.69</td>\n",
+       "                        <td id=\"T_ee0f7_row31_col3\" class=\"data row31 col3\" >True</td>\n",
+       "                        <td id=\"T_ee0f7_row31_col4\" class=\"data row31 col4\" >78.69º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row32\" class=\"row_heading level0 row32\" >32</th>\n",
-       "                        <td id=\"T_b3bcd_row32_col0\" class=\"data row32 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row32_col1\" class=\"data row32 col1\" >17/09/10</td>\n",
-       "                        <td id=\"T_b3bcd_row32_col2\" class=\"data row32 col2\" >$ 1430378.67</td>\n",
-       "                        <td id=\"T_b3bcd_row32_col3\" class=\"data row32 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row32_col4\" class=\"data row32 col4\" >82.11º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row32\" class=\"row_heading level0 row32\" >32</th>\n",
+       "                        <td id=\"T_ee0f7_row32_col0\" class=\"data row32 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row32_col1\" class=\"data row32 col1\" >17/09/10</td>\n",
+       "                        <td id=\"T_ee0f7_row32_col2\" class=\"data row32 col2\" >$ 1430378.67</td>\n",
+       "                        <td id=\"T_ee0f7_row32_col3\" class=\"data row32 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row32_col4\" class=\"data row32 col4\" >82.11º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row33\" class=\"row_heading level0 row33\" >33</th>\n",
-       "                        <td id=\"T_b3bcd_row33_col0\" class=\"data row33 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row33_col1\" class=\"data row33 col1\" >24/09/10</td>\n",
-       "                        <td id=\"T_b3bcd_row33_col2\" class=\"data row33 col2\" >$ 1351791.03</td>\n",
-       "                        <td id=\"T_b3bcd_row33_col3\" class=\"data row33 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row33_col4\" class=\"data row33 col4\" >80.94º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row33\" class=\"row_heading level0 row33\" >33</th>\n",
+       "                        <td id=\"T_ee0f7_row33_col0\" class=\"data row33 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row33_col1\" class=\"data row33 col1\" >24/09/10</td>\n",
+       "                        <td id=\"T_ee0f7_row33_col2\" class=\"data row33 col2\" >$ 1351791.03</td>\n",
+       "                        <td id=\"T_ee0f7_row33_col3\" class=\"data row33 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row33_col4\" class=\"data row33 col4\" >80.94º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row34\" class=\"row_heading level0 row34\" >34</th>\n",
-       "                        <td id=\"T_b3bcd_row34_col0\" class=\"data row34 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row34_col1\" class=\"data row34 col1\" >10/01/10</td>\n",
-       "                        <td id=\"T_b3bcd_row34_col2\" class=\"data row34 col2\" >$ 1453329.50</td>\n",
-       "                        <td id=\"T_b3bcd_row34_col3\" class=\"data row34 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row34_col4\" class=\"data row34 col4\" >71.89º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row34\" class=\"row_heading level0 row34\" >34</th>\n",
+       "                        <td id=\"T_ee0f7_row34_col0\" class=\"data row34 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row34_col1\" class=\"data row34 col1\" >10/01/10</td>\n",
+       "                        <td id=\"T_ee0f7_row34_col2\" class=\"data row34 col2\" >$ 1453329.50</td>\n",
+       "                        <td id=\"T_ee0f7_row34_col3\" class=\"data row34 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row34_col4\" class=\"data row34 col4\" >71.89º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row35\" class=\"row_heading level0 row35\" >35</th>\n",
-       "                        <td id=\"T_b3bcd_row35_col0\" class=\"data row35 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row35_col1\" class=\"data row35 col1\" >10/08/10</td>\n",
-       "                        <td id=\"T_b3bcd_row35_col2\" class=\"data row35 col2\" >$ 1508239.93</td>\n",
-       "                        <td id=\"T_b3bcd_row35_col3\" class=\"data row35 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row35_col4\" class=\"data row35 col4\" >63.93º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row35\" class=\"row_heading level0 row35\" >35</th>\n",
+       "                        <td id=\"T_ee0f7_row35_col0\" class=\"data row35 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row35_col1\" class=\"data row35 col1\" >10/08/10</td>\n",
+       "                        <td id=\"T_ee0f7_row35_col2\" class=\"data row35 col2\" >$ 1508239.93</td>\n",
+       "                        <td id=\"T_ee0f7_row35_col3\" class=\"data row35 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row35_col4\" class=\"data row35 col4\" >63.93º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row36\" class=\"row_heading level0 row36\" >36</th>\n",
-       "                        <td id=\"T_b3bcd_row36_col0\" class=\"data row36 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row36_col1\" class=\"data row36 col1\" >15/10/10</td>\n",
-       "                        <td id=\"T_b3bcd_row36_col2\" class=\"data row36 col2\" >$ 1459409.10</td>\n",
-       "                        <td id=\"T_b3bcd_row36_col3\" class=\"data row36 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row36_col4\" class=\"data row36 col4\" >67.18º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row36\" class=\"row_heading level0 row36\" >36</th>\n",
+       "                        <td id=\"T_ee0f7_row36_col0\" class=\"data row36 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row36_col1\" class=\"data row36 col1\" >15/10/10</td>\n",
+       "                        <td id=\"T_ee0f7_row36_col2\" class=\"data row36 col2\" >$ 1459409.10</td>\n",
+       "                        <td id=\"T_ee0f7_row36_col3\" class=\"data row36 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row36_col4\" class=\"data row36 col4\" >67.18º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row37\" class=\"row_heading level0 row37\" >37</th>\n",
-       "                        <td id=\"T_b3bcd_row37_col0\" class=\"data row37 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row37_col1\" class=\"data row37 col1\" >22/10/10</td>\n",
-       "                        <td id=\"T_b3bcd_row37_col2\" class=\"data row37 col2\" >$ 1345454.00</td>\n",
-       "                        <td id=\"T_b3bcd_row37_col3\" class=\"data row37 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row37_col4\" class=\"data row37 col4\" >69.86º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row37\" class=\"row_heading level0 row37\" >37</th>\n",
+       "                        <td id=\"T_ee0f7_row37_col0\" class=\"data row37 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row37_col1\" class=\"data row37 col1\" >22/10/10</td>\n",
+       "                        <td id=\"T_ee0f7_row37_col2\" class=\"data row37 col2\" >$ 1345454.00</td>\n",
+       "                        <td id=\"T_ee0f7_row37_col3\" class=\"data row37 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row37_col4\" class=\"data row37 col4\" >69.86º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row38\" class=\"row_heading level0 row38\" >38</th>\n",
-       "                        <td id=\"T_b3bcd_row38_col0\" class=\"data row38 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row38_col1\" class=\"data row38 col1\" >29/10/10</td>\n",
-       "                        <td id=\"T_b3bcd_row38_col2\" class=\"data row38 col2\" >$ 1384209.22</td>\n",
-       "                        <td id=\"T_b3bcd_row38_col3\" class=\"data row38 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row38_col4\" class=\"data row38 col4\" >69.64º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row38\" class=\"row_heading level0 row38\" >38</th>\n",
+       "                        <td id=\"T_ee0f7_row38_col0\" class=\"data row38 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row38_col1\" class=\"data row38 col1\" >29/10/10</td>\n",
+       "                        <td id=\"T_ee0f7_row38_col2\" class=\"data row38 col2\" >$ 1384209.22</td>\n",
+       "                        <td id=\"T_ee0f7_row38_col3\" class=\"data row38 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row38_col4\" class=\"data row38 col4\" >69.64º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row39\" class=\"row_heading level0 row39\" >39</th>\n",
-       "                        <td id=\"T_b3bcd_row39_col0\" class=\"data row39 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row39_col1\" class=\"data row39 col1\" >11/05/10</td>\n",
-       "                        <td id=\"T_b3bcd_row39_col2\" class=\"data row39 col2\" >$ 1551659.28</td>\n",
-       "                        <td id=\"T_b3bcd_row39_col3\" class=\"data row39 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row39_col4\" class=\"data row39 col4\" >58.74º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row39\" class=\"row_heading level0 row39\" >39</th>\n",
+       "                        <td id=\"T_ee0f7_row39_col0\" class=\"data row39 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row39_col1\" class=\"data row39 col1\" >11/05/10</td>\n",
+       "                        <td id=\"T_ee0f7_row39_col2\" class=\"data row39 col2\" >$ 1551659.28</td>\n",
+       "                        <td id=\"T_ee0f7_row39_col3\" class=\"data row39 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row39_col4\" class=\"data row39 col4\" >58.74º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row40\" class=\"row_heading level0 row40\" >40</th>\n",
-       "                        <td id=\"T_b3bcd_row40_col0\" class=\"data row40 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row40_col1\" class=\"data row40 col1\" >11/12/10</td>\n",
-       "                        <td id=\"T_b3bcd_row40_col2\" class=\"data row40 col2\" >$ 1494479.49</td>\n",
-       "                        <td id=\"T_b3bcd_row40_col3\" class=\"data row40 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row40_col4\" class=\"data row40 col4\" >59.61º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row40\" class=\"row_heading level0 row40\" >40</th>\n",
+       "                        <td id=\"T_ee0f7_row40_col0\" class=\"data row40 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row40_col1\" class=\"data row40 col1\" >11/12/10</td>\n",
+       "                        <td id=\"T_ee0f7_row40_col2\" class=\"data row40 col2\" >$ 1494479.49</td>\n",
+       "                        <td id=\"T_ee0f7_row40_col3\" class=\"data row40 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row40_col4\" class=\"data row40 col4\" >59.61º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row41\" class=\"row_heading level0 row41\" >41</th>\n",
-       "                        <td id=\"T_b3bcd_row41_col0\" class=\"data row41 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row41_col1\" class=\"data row41 col1\" >19/11/10</td>\n",
-       "                        <td id=\"T_b3bcd_row41_col2\" class=\"data row41 col2\" >$ 1483784.18</td>\n",
-       "                        <td id=\"T_b3bcd_row41_col3\" class=\"data row41 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row41_col4\" class=\"data row41 col4\" >51.41º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row41\" class=\"row_heading level0 row41\" >41</th>\n",
+       "                        <td id=\"T_ee0f7_row41_col0\" class=\"data row41 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row41_col1\" class=\"data row41 col1\" >19/11/10</td>\n",
+       "                        <td id=\"T_ee0f7_row41_col2\" class=\"data row41 col2\" >$ 1483784.18</td>\n",
+       "                        <td id=\"T_ee0f7_row41_col3\" class=\"data row41 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row41_col4\" class=\"data row41 col4\" >51.41º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row42\" class=\"row_heading level0 row42\" >42</th>\n",
-       "                        <td id=\"T_b3bcd_row42_col0\" class=\"data row42 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row42_col1\" class=\"data row42 col1\" >26/11/10</td>\n",
-       "                        <td id=\"T_b3bcd_row42_col2\" class=\"data row42 col2\" >$ 1955624.11</td>\n",
-       "                        <td id=\"T_b3bcd_row42_col3\" class=\"data row42 col3\" >True</td>\n",
-       "                        <td id=\"T_b3bcd_row42_col4\" class=\"data row42 col4\" >64.52º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row42\" class=\"row_heading level0 row42\" >42</th>\n",
+       "                        <td id=\"T_ee0f7_row42_col0\" class=\"data row42 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row42_col1\" class=\"data row42 col1\" >26/11/10</td>\n",
+       "                        <td id=\"T_ee0f7_row42_col2\" class=\"data row42 col2\" >$ 1955624.11</td>\n",
+       "                        <td id=\"T_ee0f7_row42_col3\" class=\"data row42 col3\" >True</td>\n",
+       "                        <td id=\"T_ee0f7_row42_col4\" class=\"data row42 col4\" >64.52º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row43\" class=\"row_heading level0 row43\" >43</th>\n",
-       "                        <td id=\"T_b3bcd_row43_col0\" class=\"data row43 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row43_col1\" class=\"data row43 col1\" >12/03/10</td>\n",
-       "                        <td id=\"T_b3bcd_row43_col2\" class=\"data row43 col2\" >$ 1548033.78</td>\n",
-       "                        <td id=\"T_b3bcd_row43_col3\" class=\"data row43 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row43_col4\" class=\"data row43 col4\" >49.27º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row43\" class=\"row_heading level0 row43\" >43</th>\n",
+       "                        <td id=\"T_ee0f7_row43_col0\" class=\"data row43 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row43_col1\" class=\"data row43 col1\" >12/03/10</td>\n",
+       "                        <td id=\"T_ee0f7_row43_col2\" class=\"data row43 col2\" >$ 1548033.78</td>\n",
+       "                        <td id=\"T_ee0f7_row43_col3\" class=\"data row43 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row43_col4\" class=\"data row43 col4\" >49.27º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row44\" class=\"row_heading level0 row44\" >44</th>\n",
-       "                        <td id=\"T_b3bcd_row44_col0\" class=\"data row44 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row44_col1\" class=\"data row44 col1\" >12/10/10</td>\n",
-       "                        <td id=\"T_b3bcd_row44_col2\" class=\"data row44 col2\" >$ 1682614.26</td>\n",
-       "                        <td id=\"T_b3bcd_row44_col3\" class=\"data row44 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row44_col4\" class=\"data row44 col4\" >46.33º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row44\" class=\"row_heading level0 row44\" >44</th>\n",
+       "                        <td id=\"T_ee0f7_row44_col0\" class=\"data row44 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row44_col1\" class=\"data row44 col1\" >12/10/10</td>\n",
+       "                        <td id=\"T_ee0f7_row44_col2\" class=\"data row44 col2\" >$ 1682614.26</td>\n",
+       "                        <td id=\"T_ee0f7_row44_col3\" class=\"data row44 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row44_col4\" class=\"data row44 col4\" >46.33º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row45\" class=\"row_heading level0 row45\" >45</th>\n",
-       "                        <td id=\"T_b3bcd_row45_col0\" class=\"data row45 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row45_col1\" class=\"data row45 col1\" >17/12/10</td>\n",
-       "                        <td id=\"T_b3bcd_row45_col2\" class=\"data row45 col2\" >$ 1891034.93</td>\n",
-       "                        <td id=\"T_b3bcd_row45_col3\" class=\"data row45 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row45_col4\" class=\"data row45 col4\" >49.84º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row45\" class=\"row_heading level0 row45\" >45</th>\n",
+       "                        <td id=\"T_ee0f7_row45_col0\" class=\"data row45 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row45_col1\" class=\"data row45 col1\" >17/12/10</td>\n",
+       "                        <td id=\"T_ee0f7_row45_col2\" class=\"data row45 col2\" >$ 1891034.93</td>\n",
+       "                        <td id=\"T_ee0f7_row45_col3\" class=\"data row45 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row45_col4\" class=\"data row45 col4\" >49.84º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row46\" class=\"row_heading level0 row46\" >46</th>\n",
-       "                        <td id=\"T_b3bcd_row46_col0\" class=\"data row46 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row46_col1\" class=\"data row46 col1\" >24/12/10</td>\n",
-       "                        <td id=\"T_b3bcd_row46_col2\" class=\"data row46 col2\" >$ 2387950.20</td>\n",
-       "                        <td id=\"T_b3bcd_row46_col3\" class=\"data row46 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row46_col4\" class=\"data row46 col4\" >52.33º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row46\" class=\"row_heading level0 row46\" >46</th>\n",
+       "                        <td id=\"T_ee0f7_row46_col0\" class=\"data row46 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row46_col1\" class=\"data row46 col1\" >24/12/10</td>\n",
+       "                        <td id=\"T_ee0f7_row46_col2\" class=\"data row46 col2\" >$ 2387950.20</td>\n",
+       "                        <td id=\"T_ee0f7_row46_col3\" class=\"data row46 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row46_col4\" class=\"data row46 col4\" >52.33º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row47\" class=\"row_heading level0 row47\" >47</th>\n",
-       "                        <td id=\"T_b3bcd_row47_col0\" class=\"data row47 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row47_col1\" class=\"data row47 col1\" >31/12/10</td>\n",
-       "                        <td id=\"T_b3bcd_row47_col2\" class=\"data row47 col2\" >$ 1367320.01</td>\n",
-       "                        <td id=\"T_b3bcd_row47_col3\" class=\"data row47 col3\" >True</td>\n",
-       "                        <td id=\"T_b3bcd_row47_col4\" class=\"data row47 col4\" >48.43º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row47\" class=\"row_heading level0 row47\" >47</th>\n",
+       "                        <td id=\"T_ee0f7_row47_col0\" class=\"data row47 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row47_col1\" class=\"data row47 col1\" >31/12/10</td>\n",
+       "                        <td id=\"T_ee0f7_row47_col2\" class=\"data row47 col2\" >$ 1367320.01</td>\n",
+       "                        <td id=\"T_ee0f7_row47_col3\" class=\"data row47 col3\" >True</td>\n",
+       "                        <td id=\"T_ee0f7_row47_col4\" class=\"data row47 col4\" >48.43º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row48\" class=\"row_heading level0 row48\" >48</th>\n",
-       "                        <td id=\"T_b3bcd_row48_col0\" class=\"data row48 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row48_col1\" class=\"data row48 col1\" >01/07/11</td>\n",
-       "                        <td id=\"T_b3bcd_row48_col2\" class=\"data row48 col2\" >$ 1444732.28</td>\n",
-       "                        <td id=\"T_b3bcd_row48_col3\" class=\"data row48 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row48_col4\" class=\"data row48 col4\" >48.27º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row48\" class=\"row_heading level0 row48\" >48</th>\n",
+       "                        <td id=\"T_ee0f7_row48_col0\" class=\"data row48 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row48_col1\" class=\"data row48 col1\" >01/07/11</td>\n",
+       "                        <td id=\"T_ee0f7_row48_col2\" class=\"data row48 col2\" >$ 1444732.28</td>\n",
+       "                        <td id=\"T_ee0f7_row48_col3\" class=\"data row48 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row48_col4\" class=\"data row48 col4\" >48.27º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row49\" class=\"row_heading level0 row49\" >49</th>\n",
-       "                        <td id=\"T_b3bcd_row49_col0\" class=\"data row49 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row49_col1\" class=\"data row49 col1\" >14/01/11</td>\n",
-       "                        <td id=\"T_b3bcd_row49_col2\" class=\"data row49 col2\" >$ 1391013.96</td>\n",
-       "                        <td id=\"T_b3bcd_row49_col3\" class=\"data row49 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row49_col4\" class=\"data row49 col4\" >35.40º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row49\" class=\"row_heading level0 row49\" >49</th>\n",
+       "                        <td id=\"T_ee0f7_row49_col0\" class=\"data row49 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row49_col1\" class=\"data row49 col1\" >14/01/11</td>\n",
+       "                        <td id=\"T_ee0f7_row49_col2\" class=\"data row49 col2\" >$ 1391013.96</td>\n",
+       "                        <td id=\"T_ee0f7_row49_col3\" class=\"data row49 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row49_col4\" class=\"data row49 col4\" >35.40º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row50\" class=\"row_heading level0 row50\" >50</th>\n",
-       "                        <td id=\"T_b3bcd_row50_col0\" class=\"data row50 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row50_col1\" class=\"data row50 col1\" >21/01/11</td>\n",
-       "                        <td id=\"T_b3bcd_row50_col2\" class=\"data row50 col2\" >$ 1327405.42</td>\n",
-       "                        <td id=\"T_b3bcd_row50_col3\" class=\"data row50 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row50_col4\" class=\"data row50 col4\" >44.04º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row50\" class=\"row_heading level0 row50\" >50</th>\n",
+       "                        <td id=\"T_ee0f7_row50_col0\" class=\"data row50 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row50_col1\" class=\"data row50 col1\" >21/01/11</td>\n",
+       "                        <td id=\"T_ee0f7_row50_col2\" class=\"data row50 col2\" >$ 1327405.42</td>\n",
+       "                        <td id=\"T_ee0f7_row50_col3\" class=\"data row50 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row50_col4\" class=\"data row50 col4\" >44.04º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row51\" class=\"row_heading level0 row51\" >51</th>\n",
-       "                        <td id=\"T_b3bcd_row51_col0\" class=\"data row51 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row51_col1\" class=\"data row51 col1\" >28/01/11</td>\n",
-       "                        <td id=\"T_b3bcd_row51_col2\" class=\"data row51 col2\" >$ 1316899.31</td>\n",
-       "                        <td id=\"T_b3bcd_row51_col3\" class=\"data row51 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row51_col4\" class=\"data row51 col4\" >43.83º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row51\" class=\"row_heading level0 row51\" >51</th>\n",
+       "                        <td id=\"T_ee0f7_row51_col0\" class=\"data row51 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row51_col1\" class=\"data row51 col1\" >28/01/11</td>\n",
+       "                        <td id=\"T_ee0f7_row51_col2\" class=\"data row51 col2\" >$ 1316899.31</td>\n",
+       "                        <td id=\"T_ee0f7_row51_col3\" class=\"data row51 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row51_col4\" class=\"data row51 col4\" >43.83º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row52\" class=\"row_heading level0 row52\" >52</th>\n",
-       "                        <td id=\"T_b3bcd_row52_col0\" class=\"data row52 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row52_col1\" class=\"data row52 col1\" >02/04/11</td>\n",
-       "                        <td id=\"T_b3bcd_row52_col2\" class=\"data row52 col2\" >$ 1606629.58</td>\n",
-       "                        <td id=\"T_b3bcd_row52_col3\" class=\"data row52 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row52_col4\" class=\"data row52 col4\" >42.27º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row52\" class=\"row_heading level0 row52\" >52</th>\n",
+       "                        <td id=\"T_ee0f7_row52_col0\" class=\"data row52 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row52_col1\" class=\"data row52 col1\" >02/04/11</td>\n",
+       "                        <td id=\"T_ee0f7_row52_col2\" class=\"data row52 col2\" >$ 1606629.58</td>\n",
+       "                        <td id=\"T_ee0f7_row52_col3\" class=\"data row52 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row52_col4\" class=\"data row52 col4\" >42.27º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row53\" class=\"row_heading level0 row53\" >53</th>\n",
-       "                        <td id=\"T_b3bcd_row53_col0\" class=\"data row53 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row53_col1\" class=\"data row53 col1\" >02/11/11</td>\n",
-       "                        <td id=\"T_b3bcd_row53_col2\" class=\"data row53 col2\" >$ 1649614.93</td>\n",
-       "                        <td id=\"T_b3bcd_row53_col3\" class=\"data row53 col3\" >True</td>\n",
-       "                        <td id=\"T_b3bcd_row53_col4\" class=\"data row53 col4\" >36.39º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row53\" class=\"row_heading level0 row53\" >53</th>\n",
+       "                        <td id=\"T_ee0f7_row53_col0\" class=\"data row53 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row53_col1\" class=\"data row53 col1\" >02/11/11</td>\n",
+       "                        <td id=\"T_ee0f7_row53_col2\" class=\"data row53 col2\" >$ 1649614.93</td>\n",
+       "                        <td id=\"T_ee0f7_row53_col3\" class=\"data row53 col3\" >True</td>\n",
+       "                        <td id=\"T_ee0f7_row53_col4\" class=\"data row53 col4\" >36.39º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row54\" class=\"row_heading level0 row54\" >54</th>\n",
-       "                        <td id=\"T_b3bcd_row54_col0\" class=\"data row54 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row54_col1\" class=\"data row54 col1\" >18/02/11</td>\n",
-       "                        <td id=\"T_b3bcd_row54_col2\" class=\"data row54 col2\" >$ 1686842.78</td>\n",
-       "                        <td id=\"T_b3bcd_row54_col3\" class=\"data row54 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row54_col4\" class=\"data row54 col4\" >57.36º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row54\" class=\"row_heading level0 row54\" >54</th>\n",
+       "                        <td id=\"T_ee0f7_row54_col0\" class=\"data row54 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row54_col1\" class=\"data row54 col1\" >18/02/11</td>\n",
+       "                        <td id=\"T_ee0f7_row54_col2\" class=\"data row54 col2\" >$ 1686842.78</td>\n",
+       "                        <td id=\"T_ee0f7_row54_col3\" class=\"data row54 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row54_col4\" class=\"data row54 col4\" >57.36º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row55\" class=\"row_heading level0 row55\" >55</th>\n",
-       "                        <td id=\"T_b3bcd_row55_col0\" class=\"data row55 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row55_col1\" class=\"data row55 col1\" >25/02/11</td>\n",
-       "                        <td id=\"T_b3bcd_row55_col2\" class=\"data row55 col2\" >$ 1456800.28</td>\n",
-       "                        <td id=\"T_b3bcd_row55_col3\" class=\"data row55 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row55_col4\" class=\"data row55 col4\" >62.90º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row55\" class=\"row_heading level0 row55\" >55</th>\n",
+       "                        <td id=\"T_ee0f7_row55_col0\" class=\"data row55 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row55_col1\" class=\"data row55 col1\" >25/02/11</td>\n",
+       "                        <td id=\"T_ee0f7_row55_col2\" class=\"data row55 col2\" >$ 1456800.28</td>\n",
+       "                        <td id=\"T_ee0f7_row55_col3\" class=\"data row55 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row55_col4\" class=\"data row55 col4\" >62.90º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row56\" class=\"row_heading level0 row56\" >56</th>\n",
-       "                        <td id=\"T_b3bcd_row56_col0\" class=\"data row56 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row56_col1\" class=\"data row56 col1\" >03/04/11</td>\n",
-       "                        <td id=\"T_b3bcd_row56_col2\" class=\"data row56 col2\" >$ 1636263.41</td>\n",
-       "                        <td id=\"T_b3bcd_row56_col3\" class=\"data row56 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row56_col4\" class=\"data row56 col4\" >59.58º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row56\" class=\"row_heading level0 row56\" >56</th>\n",
+       "                        <td id=\"T_ee0f7_row56_col0\" class=\"data row56 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row56_col1\" class=\"data row56 col1\" >03/04/11</td>\n",
+       "                        <td id=\"T_ee0f7_row56_col2\" class=\"data row56 col2\" >$ 1636263.41</td>\n",
+       "                        <td id=\"T_ee0f7_row56_col3\" class=\"data row56 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row56_col4\" class=\"data row56 col4\" >59.58º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row57\" class=\"row_heading level0 row57\" >57</th>\n",
-       "                        <td id=\"T_b3bcd_row57_col0\" class=\"data row57 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row57_col1\" class=\"data row57 col1\" >03/11/11</td>\n",
-       "                        <td id=\"T_b3bcd_row57_col2\" class=\"data row57 col2\" >$ 1553191.63</td>\n",
-       "                        <td id=\"T_b3bcd_row57_col3\" class=\"data row57 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row57_col4\" class=\"data row57 col4\" >53.56º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row57\" class=\"row_heading level0 row57\" >57</th>\n",
+       "                        <td id=\"T_ee0f7_row57_col0\" class=\"data row57 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row57_col1\" class=\"data row57 col1\" >03/11/11</td>\n",
+       "                        <td id=\"T_ee0f7_row57_col2\" class=\"data row57 col2\" >$ 1553191.63</td>\n",
+       "                        <td id=\"T_ee0f7_row57_col3\" class=\"data row57 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row57_col4\" class=\"data row57 col4\" >53.56º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row58\" class=\"row_heading level0 row58\" >58</th>\n",
-       "                        <td id=\"T_b3bcd_row58_col0\" class=\"data row58 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row58_col1\" class=\"data row58 col1\" >18/03/11</td>\n",
-       "                        <td id=\"T_b3bcd_row58_col2\" class=\"data row58 col2\" >$ 1576818.06</td>\n",
-       "                        <td id=\"T_b3bcd_row58_col3\" class=\"data row58 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row58_col4\" class=\"data row58 col4\" >62.76º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row58\" class=\"row_heading level0 row58\" >58</th>\n",
+       "                        <td id=\"T_ee0f7_row58_col0\" class=\"data row58 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row58_col1\" class=\"data row58 col1\" >18/03/11</td>\n",
+       "                        <td id=\"T_ee0f7_row58_col2\" class=\"data row58 col2\" >$ 1576818.06</td>\n",
+       "                        <td id=\"T_ee0f7_row58_col3\" class=\"data row58 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row58_col4\" class=\"data row58 col4\" >62.76º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row59\" class=\"row_heading level0 row59\" >59</th>\n",
-       "                        <td id=\"T_b3bcd_row59_col0\" class=\"data row59 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row59_col1\" class=\"data row59 col1\" >25/03/11</td>\n",
-       "                        <td id=\"T_b3bcd_row59_col2\" class=\"data row59 col2\" >$ 1541102.38</td>\n",
-       "                        <td id=\"T_b3bcd_row59_col3\" class=\"data row59 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row59_col4\" class=\"data row59 col4\" >69.97º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row59\" class=\"row_heading level0 row59\" >59</th>\n",
+       "                        <td id=\"T_ee0f7_row59_col0\" class=\"data row59 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row59_col1\" class=\"data row59 col1\" >25/03/11</td>\n",
+       "                        <td id=\"T_ee0f7_row59_col2\" class=\"data row59 col2\" >$ 1541102.38</td>\n",
+       "                        <td id=\"T_ee0f7_row59_col3\" class=\"data row59 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row59_col4\" class=\"data row59 col4\" >69.97º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row60\" class=\"row_heading level0 row60\" >60</th>\n",
-       "                        <td id=\"T_b3bcd_row60_col0\" class=\"data row60 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row60_col1\" class=\"data row60 col1\" >04/01/11</td>\n",
-       "                        <td id=\"T_b3bcd_row60_col2\" class=\"data row60 col2\" >$ 1495064.75</td>\n",
-       "                        <td id=\"T_b3bcd_row60_col3\" class=\"data row60 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row60_col4\" class=\"data row60 col4\" >59.17º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row60\" class=\"row_heading level0 row60\" >60</th>\n",
+       "                        <td id=\"T_ee0f7_row60_col0\" class=\"data row60 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row60_col1\" class=\"data row60 col1\" >04/01/11</td>\n",
+       "                        <td id=\"T_ee0f7_row60_col2\" class=\"data row60 col2\" >$ 1495064.75</td>\n",
+       "                        <td id=\"T_ee0f7_row60_col3\" class=\"data row60 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row60_col4\" class=\"data row60 col4\" >59.17º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row61\" class=\"row_heading level0 row61\" >61</th>\n",
-       "                        <td id=\"T_b3bcd_row61_col0\" class=\"data row61 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row61_col1\" class=\"data row61 col1\" >04/08/11</td>\n",
-       "                        <td id=\"T_b3bcd_row61_col2\" class=\"data row61 col2\" >$ 1614259.35</td>\n",
-       "                        <td id=\"T_b3bcd_row61_col3\" class=\"data row61 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row61_col4\" class=\"data row61 col4\" >67.84º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row61\" class=\"row_heading level0 row61\" >61</th>\n",
+       "                        <td id=\"T_ee0f7_row61_col0\" class=\"data row61 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row61_col1\" class=\"data row61 col1\" >04/08/11</td>\n",
+       "                        <td id=\"T_ee0f7_row61_col2\" class=\"data row61 col2\" >$ 1614259.35</td>\n",
+       "                        <td id=\"T_ee0f7_row61_col3\" class=\"data row61 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row61_col4\" class=\"data row61 col4\" >67.84º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row62\" class=\"row_heading level0 row62\" >62</th>\n",
-       "                        <td id=\"T_b3bcd_row62_col0\" class=\"data row62 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row62_col1\" class=\"data row62 col1\" >15/04/11</td>\n",
-       "                        <td id=\"T_b3bcd_row62_col2\" class=\"data row62 col2\" >$ 1559889.00</td>\n",
-       "                        <td id=\"T_b3bcd_row62_col3\" class=\"data row62 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row62_col4\" class=\"data row62 col4\" >71.27º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row62\" class=\"row_heading level0 row62\" >62</th>\n",
+       "                        <td id=\"T_ee0f7_row62_col0\" class=\"data row62 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row62_col1\" class=\"data row62 col1\" >15/04/11</td>\n",
+       "                        <td id=\"T_ee0f7_row62_col2\" class=\"data row62 col2\" >$ 1559889.00</td>\n",
+       "                        <td id=\"T_ee0f7_row62_col3\" class=\"data row62 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row62_col4\" class=\"data row62 col4\" >71.27º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row63\" class=\"row_heading level0 row63\" >63</th>\n",
-       "                        <td id=\"T_b3bcd_row63_col0\" class=\"data row63 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row63_col1\" class=\"data row63 col1\" >22/04/11</td>\n",
-       "                        <td id=\"T_b3bcd_row63_col2\" class=\"data row63 col2\" >$ 1564819.81</td>\n",
-       "                        <td id=\"T_b3bcd_row63_col3\" class=\"data row63 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row63_col4\" class=\"data row63 col4\" >72.99º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row63\" class=\"row_heading level0 row63\" >63</th>\n",
+       "                        <td id=\"T_ee0f7_row63_col0\" class=\"data row63 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row63_col1\" class=\"data row63 col1\" >22/04/11</td>\n",
+       "                        <td id=\"T_ee0f7_row63_col2\" class=\"data row63 col2\" >$ 1564819.81</td>\n",
+       "                        <td id=\"T_ee0f7_row63_col3\" class=\"data row63 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row63_col4\" class=\"data row63 col4\" >72.99º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row64\" class=\"row_heading level0 row64\" >64</th>\n",
-       "                        <td id=\"T_b3bcd_row64_col0\" class=\"data row64 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row64_col1\" class=\"data row64 col1\" >29/04/11</td>\n",
-       "                        <td id=\"T_b3bcd_row64_col2\" class=\"data row64 col2\" >$ 1455090.69</td>\n",
-       "                        <td id=\"T_b3bcd_row64_col3\" class=\"data row64 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row64_col4\" class=\"data row64 col4\" >72.03º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row64\" class=\"row_heading level0 row64\" >64</th>\n",
+       "                        <td id=\"T_ee0f7_row64_col0\" class=\"data row64 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row64_col1\" class=\"data row64 col1\" >29/04/11</td>\n",
+       "                        <td id=\"T_ee0f7_row64_col2\" class=\"data row64 col2\" >$ 1455090.69</td>\n",
+       "                        <td id=\"T_ee0f7_row64_col3\" class=\"data row64 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row64_col4\" class=\"data row64 col4\" >72.03º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row65\" class=\"row_heading level0 row65\" >65</th>\n",
-       "                        <td id=\"T_b3bcd_row65_col0\" class=\"data row65 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row65_col1\" class=\"data row65 col1\" >05/06/11</td>\n",
-       "                        <td id=\"T_b3bcd_row65_col2\" class=\"data row65 col2\" >$ 1629391.28</td>\n",
-       "                        <td id=\"T_b3bcd_row65_col3\" class=\"data row65 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row65_col4\" class=\"data row65 col4\" >64.61º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row65\" class=\"row_heading level0 row65\" >65</th>\n",
+       "                        <td id=\"T_ee0f7_row65_col0\" class=\"data row65 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row65_col1\" class=\"data row65 col1\" >05/06/11</td>\n",
+       "                        <td id=\"T_ee0f7_row65_col2\" class=\"data row65 col2\" >$ 1629391.28</td>\n",
+       "                        <td id=\"T_ee0f7_row65_col3\" class=\"data row65 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row65_col4\" class=\"data row65 col4\" >64.61º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row66\" class=\"row_heading level0 row66\" >66</th>\n",
-       "                        <td id=\"T_b3bcd_row66_col0\" class=\"data row66 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row66_col1\" class=\"data row66 col1\" >13/05/11</td>\n",
-       "                        <td id=\"T_b3bcd_row66_col2\" class=\"data row66 col2\" >$ 1604775.58</td>\n",
-       "                        <td id=\"T_b3bcd_row66_col3\" class=\"data row66 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row66_col4\" class=\"data row66 col4\" >75.64º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row66\" class=\"row_heading level0 row66\" >66</th>\n",
+       "                        <td id=\"T_ee0f7_row66_col0\" class=\"data row66 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row66_col1\" class=\"data row66 col1\" >13/05/11</td>\n",
+       "                        <td id=\"T_ee0f7_row66_col2\" class=\"data row66 col2\" >$ 1604775.58</td>\n",
+       "                        <td id=\"T_ee0f7_row66_col3\" class=\"data row66 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row66_col4\" class=\"data row66 col4\" >75.64º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row67\" class=\"row_heading level0 row67\" >67</th>\n",
-       "                        <td id=\"T_b3bcd_row67_col0\" class=\"data row67 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row67_col1\" class=\"data row67 col1\" >20/05/11</td>\n",
-       "                        <td id=\"T_b3bcd_row67_col2\" class=\"data row67 col2\" >$ 1428218.27</td>\n",
-       "                        <td id=\"T_b3bcd_row67_col3\" class=\"data row67 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row67_col4\" class=\"data row67 col4\" >67.63º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row67\" class=\"row_heading level0 row67\" >67</th>\n",
+       "                        <td id=\"T_ee0f7_row67_col0\" class=\"data row67 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row67_col1\" class=\"data row67 col1\" >20/05/11</td>\n",
+       "                        <td id=\"T_ee0f7_row67_col2\" class=\"data row67 col2\" >$ 1428218.27</td>\n",
+       "                        <td id=\"T_ee0f7_row67_col3\" class=\"data row67 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row67_col4\" class=\"data row67 col4\" >67.63º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row68\" class=\"row_heading level0 row68\" >68</th>\n",
-       "                        <td id=\"T_b3bcd_row68_col0\" class=\"data row68 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row68_col1\" class=\"data row68 col1\" >27/05/11</td>\n",
-       "                        <td id=\"T_b3bcd_row68_col2\" class=\"data row68 col2\" >$ 1466046.67</td>\n",
-       "                        <td id=\"T_b3bcd_row68_col3\" class=\"data row68 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row68_col4\" class=\"data row68 col4\" >77.72º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row68\" class=\"row_heading level0 row68\" >68</th>\n",
+       "                        <td id=\"T_ee0f7_row68_col0\" class=\"data row68 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row68_col1\" class=\"data row68 col1\" >27/05/11</td>\n",
+       "                        <td id=\"T_ee0f7_row68_col2\" class=\"data row68 col2\" >$ 1466046.67</td>\n",
+       "                        <td id=\"T_ee0f7_row68_col3\" class=\"data row68 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row68_col4\" class=\"data row68 col4\" >77.72º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row69\" class=\"row_heading level0 row69\" >69</th>\n",
-       "                        <td id=\"T_b3bcd_row69_col0\" class=\"data row69 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row69_col1\" class=\"data row69 col1\" >06/03/11</td>\n",
-       "                        <td id=\"T_b3bcd_row69_col2\" class=\"data row69 col2\" >$ 1635078.41</td>\n",
-       "                        <td id=\"T_b3bcd_row69_col3\" class=\"data row69 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row69_col4\" class=\"data row69 col4\" >83.00º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row69\" class=\"row_heading level0 row69\" >69</th>\n",
+       "                        <td id=\"T_ee0f7_row69_col0\" class=\"data row69 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row69_col1\" class=\"data row69 col1\" >06/03/11</td>\n",
+       "                        <td id=\"T_ee0f7_row69_col2\" class=\"data row69 col2\" >$ 1635078.41</td>\n",
+       "                        <td id=\"T_ee0f7_row69_col3\" class=\"data row69 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row69_col4\" class=\"data row69 col4\" >83.00º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row70\" class=\"row_heading level0 row70\" >70</th>\n",
-       "                        <td id=\"T_b3bcd_row70_col0\" class=\"data row70 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row70_col1\" class=\"data row70 col1\" >06/10/11</td>\n",
-       "                        <td id=\"T_b3bcd_row70_col2\" class=\"data row70 col2\" >$ 1588948.32</td>\n",
-       "                        <td id=\"T_b3bcd_row70_col3\" class=\"data row70 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row70_col4\" class=\"data row70 col4\" >83.13º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row70\" class=\"row_heading level0 row70\" >70</th>\n",
+       "                        <td id=\"T_ee0f7_row70_col0\" class=\"data row70 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row70_col1\" class=\"data row70 col1\" >06/10/11</td>\n",
+       "                        <td id=\"T_ee0f7_row70_col2\" class=\"data row70 col2\" >$ 1588948.32</td>\n",
+       "                        <td id=\"T_ee0f7_row70_col3\" class=\"data row70 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row70_col4\" class=\"data row70 col4\" >83.13º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row71\" class=\"row_heading level0 row71\" >71</th>\n",
-       "                        <td id=\"T_b3bcd_row71_col0\" class=\"data row71 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row71_col1\" class=\"data row71 col1\" >17/06/11</td>\n",
-       "                        <td id=\"T_b3bcd_row71_col2\" class=\"data row71 col2\" >$ 1532114.86</td>\n",
-       "                        <td id=\"T_b3bcd_row71_col3\" class=\"data row71 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row71_col4\" class=\"data row71 col4\" >86.41º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row71\" class=\"row_heading level0 row71\" >71</th>\n",
+       "                        <td id=\"T_ee0f7_row71_col0\" class=\"data row71 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row71_col1\" class=\"data row71 col1\" >17/06/11</td>\n",
+       "                        <td id=\"T_ee0f7_row71_col2\" class=\"data row71 col2\" >$ 1532114.86</td>\n",
+       "                        <td id=\"T_ee0f7_row71_col3\" class=\"data row71 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row71_col4\" class=\"data row71 col4\" >86.41º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row72\" class=\"row_heading level0 row72\" >72</th>\n",
-       "                        <td id=\"T_b3bcd_row72_col0\" class=\"data row72 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row72_col1\" class=\"data row72 col1\" >24/06/11</td>\n",
-       "                        <td id=\"T_b3bcd_row72_col2\" class=\"data row72 col2\" >$ 1438830.15</td>\n",
-       "                        <td id=\"T_b3bcd_row72_col3\" class=\"data row72 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row72_col4\" class=\"data row72 col4\" >83.58º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row72\" class=\"row_heading level0 row72\" >72</th>\n",
+       "                        <td id=\"T_ee0f7_row72_col0\" class=\"data row72 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row72_col1\" class=\"data row72 col1\" >24/06/11</td>\n",
+       "                        <td id=\"T_ee0f7_row72_col2\" class=\"data row72 col2\" >$ 1438830.15</td>\n",
+       "                        <td id=\"T_ee0f7_row72_col3\" class=\"data row72 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row72_col4\" class=\"data row72 col4\" >83.58º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row73\" class=\"row_heading level0 row73\" >73</th>\n",
-       "                        <td id=\"T_b3bcd_row73_col0\" class=\"data row73 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row73_col1\" class=\"data row73 col1\" >07/01/11</td>\n",
-       "                        <td id=\"T_b3bcd_row73_col2\" class=\"data row73 col2\" >$ 1488538.09</td>\n",
-       "                        <td id=\"T_b3bcd_row73_col3\" class=\"data row73 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row73_col4\" class=\"data row73 col4\" >85.55º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row73\" class=\"row_heading level0 row73\" >73</th>\n",
+       "                        <td id=\"T_ee0f7_row73_col0\" class=\"data row73 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row73_col1\" class=\"data row73 col1\" >07/01/11</td>\n",
+       "                        <td id=\"T_ee0f7_row73_col2\" class=\"data row73 col2\" >$ 1488538.09</td>\n",
+       "                        <td id=\"T_ee0f7_row73_col3\" class=\"data row73 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row73_col4\" class=\"data row73 col4\" >85.55º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row74\" class=\"row_heading level0 row74\" >74</th>\n",
-       "                        <td id=\"T_b3bcd_row74_col0\" class=\"data row74 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row74_col1\" class=\"data row74 col1\" >07/08/11</td>\n",
-       "                        <td id=\"T_b3bcd_row74_col2\" class=\"data row74 col2\" >$ 1534849.64</td>\n",
-       "                        <td id=\"T_b3bcd_row74_col3\" class=\"data row74 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row74_col4\" class=\"data row74 col4\" >85.83º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row74\" class=\"row_heading level0 row74\" >74</th>\n",
+       "                        <td id=\"T_ee0f7_row74_col0\" class=\"data row74 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row74_col1\" class=\"data row74 col1\" >07/08/11</td>\n",
+       "                        <td id=\"T_ee0f7_row74_col2\" class=\"data row74 col2\" >$ 1534849.64</td>\n",
+       "                        <td id=\"T_ee0f7_row74_col3\" class=\"data row74 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row74_col4\" class=\"data row74 col4\" >85.83º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row75\" class=\"row_heading level0 row75\" >75</th>\n",
-       "                        <td id=\"T_b3bcd_row75_col0\" class=\"data row75 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row75_col1\" class=\"data row75 col1\" >15/07/11</td>\n",
-       "                        <td id=\"T_b3bcd_row75_col2\" class=\"data row75 col2\" >$ 1455119.97</td>\n",
-       "                        <td id=\"T_b3bcd_row75_col3\" class=\"data row75 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row75_col4\" class=\"data row75 col4\" >88.54º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row75\" class=\"row_heading level0 row75\" >75</th>\n",
+       "                        <td id=\"T_ee0f7_row75_col0\" class=\"data row75 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row75_col1\" class=\"data row75 col1\" >15/07/11</td>\n",
+       "                        <td id=\"T_ee0f7_row75_col2\" class=\"data row75 col2\" >$ 1455119.97</td>\n",
+       "                        <td id=\"T_ee0f7_row75_col3\" class=\"data row75 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row75_col4\" class=\"data row75 col4\" >88.54º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row76\" class=\"row_heading level0 row76\" >76</th>\n",
-       "                        <td id=\"T_b3bcd_row76_col0\" class=\"data row76 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row76_col1\" class=\"data row76 col1\" >22/07/11</td>\n",
-       "                        <td id=\"T_b3bcd_row76_col2\" class=\"data row76 col2\" >$ 1396926.82</td>\n",
-       "                        <td id=\"T_b3bcd_row76_col3\" class=\"data row76 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row76_col4\" class=\"data row76 col4\" >85.77º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row76\" class=\"row_heading level0 row76\" >76</th>\n",
+       "                        <td id=\"T_ee0f7_row76_col0\" class=\"data row76 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row76_col1\" class=\"data row76 col1\" >22/07/11</td>\n",
+       "                        <td id=\"T_ee0f7_row76_col2\" class=\"data row76 col2\" >$ 1396926.82</td>\n",
+       "                        <td id=\"T_ee0f7_row76_col3\" class=\"data row76 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row76_col4\" class=\"data row76 col4\" >85.77º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row77\" class=\"row_heading level0 row77\" >77</th>\n",
-       "                        <td id=\"T_b3bcd_row77_col0\" class=\"data row77 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row77_col1\" class=\"data row77 col1\" >29/07/11</td>\n",
-       "                        <td id=\"T_b3bcd_row77_col2\" class=\"data row77 col2\" >$ 1352219.79</td>\n",
-       "                        <td id=\"T_b3bcd_row77_col3\" class=\"data row77 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row77_col4\" class=\"data row77 col4\" >86.83º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row77\" class=\"row_heading level0 row77\" >77</th>\n",
+       "                        <td id=\"T_ee0f7_row77_col0\" class=\"data row77 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row77_col1\" class=\"data row77 col1\" >29/07/11</td>\n",
+       "                        <td id=\"T_ee0f7_row77_col2\" class=\"data row77 col2\" >$ 1352219.79</td>\n",
+       "                        <td id=\"T_ee0f7_row77_col3\" class=\"data row77 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row77_col4\" class=\"data row77 col4\" >86.83º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row78\" class=\"row_heading level0 row78\" >78</th>\n",
-       "                        <td id=\"T_b3bcd_row78_col0\" class=\"data row78 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row78_col1\" class=\"data row78 col1\" >08/05/11</td>\n",
-       "                        <td id=\"T_b3bcd_row78_col2\" class=\"data row78 col2\" >$ 1624383.75</td>\n",
-       "                        <td id=\"T_b3bcd_row78_col3\" class=\"data row78 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row78_col4\" class=\"data row78 col4\" >91.65º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row78\" class=\"row_heading level0 row78\" >78</th>\n",
+       "                        <td id=\"T_ee0f7_row78_col0\" class=\"data row78 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row78_col1\" class=\"data row78 col1\" >08/05/11</td>\n",
+       "                        <td id=\"T_ee0f7_row78_col2\" class=\"data row78 col2\" >$ 1624383.75</td>\n",
+       "                        <td id=\"T_ee0f7_row78_col3\" class=\"data row78 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row78_col4\" class=\"data row78 col4\" >91.65º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row79\" class=\"row_heading level0 row79\" >79</th>\n",
-       "                        <td id=\"T_b3bcd_row79_col0\" class=\"data row79 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row79_col1\" class=\"data row79 col1\" >08/12/11</td>\n",
-       "                        <td id=\"T_b3bcd_row79_col2\" class=\"data row79 col2\" >$ 1525147.09</td>\n",
-       "                        <td id=\"T_b3bcd_row79_col3\" class=\"data row79 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row79_col4\" class=\"data row79 col4\" >90.76º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row79\" class=\"row_heading level0 row79\" >79</th>\n",
+       "                        <td id=\"T_ee0f7_row79_col0\" class=\"data row79 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row79_col1\" class=\"data row79 col1\" >08/12/11</td>\n",
+       "                        <td id=\"T_ee0f7_row79_col2\" class=\"data row79 col2\" >$ 1525147.09</td>\n",
+       "                        <td id=\"T_ee0f7_row79_col3\" class=\"data row79 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row79_col4\" class=\"data row79 col4\" >90.76º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row80\" class=\"row_heading level0 row80\" >80</th>\n",
-       "                        <td id=\"T_b3bcd_row80_col0\" class=\"data row80 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row80_col1\" class=\"data row80 col1\" >19/08/11</td>\n",
-       "                        <td id=\"T_b3bcd_row80_col2\" class=\"data row80 col2\" >$ 1530761.43</td>\n",
-       "                        <td id=\"T_b3bcd_row80_col3\" class=\"data row80 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row80_col4\" class=\"data row80 col4\" >89.94º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row80\" class=\"row_heading level0 row80\" >80</th>\n",
+       "                        <td id=\"T_ee0f7_row80_col0\" class=\"data row80 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row80_col1\" class=\"data row80 col1\" >19/08/11</td>\n",
+       "                        <td id=\"T_ee0f7_row80_col2\" class=\"data row80 col2\" >$ 1530761.43</td>\n",
+       "                        <td id=\"T_ee0f7_row80_col3\" class=\"data row80 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row80_col4\" class=\"data row80 col4\" >89.94º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row81\" class=\"row_heading level0 row81\" >81</th>\n",
-       "                        <td id=\"T_b3bcd_row81_col0\" class=\"data row81 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row81_col1\" class=\"data row81 col1\" >26/08/11</td>\n",
-       "                        <td id=\"T_b3bcd_row81_col2\" class=\"data row81 col2\" >$ 1464693.46</td>\n",
-       "                        <td id=\"T_b3bcd_row81_col3\" class=\"data row81 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row81_col4\" class=\"data row81 col4\" >87.96º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row81\" class=\"row_heading level0 row81\" >81</th>\n",
+       "                        <td id=\"T_ee0f7_row81_col0\" class=\"data row81 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row81_col1\" class=\"data row81 col1\" >26/08/11</td>\n",
+       "                        <td id=\"T_ee0f7_row81_col2\" class=\"data row81 col2\" >$ 1464693.46</td>\n",
+       "                        <td id=\"T_ee0f7_row81_col3\" class=\"data row81 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row81_col4\" class=\"data row81 col4\" >87.96º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row82\" class=\"row_heading level0 row82\" >82</th>\n",
-       "                        <td id=\"T_b3bcd_row82_col0\" class=\"data row82 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row82_col1\" class=\"data row82 col1\" >09/02/11</td>\n",
-       "                        <td id=\"T_b3bcd_row82_col2\" class=\"data row82 col2\" >$ 1550229.22</td>\n",
-       "                        <td id=\"T_b3bcd_row82_col3\" class=\"data row82 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row82_col4\" class=\"data row82 col4\" >87.83º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row82\" class=\"row_heading level0 row82\" >82</th>\n",
+       "                        <td id=\"T_ee0f7_row82_col0\" class=\"data row82 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row82_col1\" class=\"data row82 col1\" >09/02/11</td>\n",
+       "                        <td id=\"T_ee0f7_row82_col2\" class=\"data row82 col2\" >$ 1550229.22</td>\n",
+       "                        <td id=\"T_ee0f7_row82_col3\" class=\"data row82 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row82_col4\" class=\"data row82 col4\" >87.83º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row83\" class=\"row_heading level0 row83\" >83</th>\n",
-       "                        <td id=\"T_b3bcd_row83_col0\" class=\"data row83 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row83_col1\" class=\"data row83 col1\" >09/09/11</td>\n",
-       "                        <td id=\"T_b3bcd_row83_col2\" class=\"data row83 col2\" >$ 1540471.24</td>\n",
-       "                        <td id=\"T_b3bcd_row83_col3\" class=\"data row83 col3\" >True</td>\n",
-       "                        <td id=\"T_b3bcd_row83_col4\" class=\"data row83 col4\" >76.00º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row83\" class=\"row_heading level0 row83\" >83</th>\n",
+       "                        <td id=\"T_ee0f7_row83_col0\" class=\"data row83 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row83_col1\" class=\"data row83 col1\" >09/09/11</td>\n",
+       "                        <td id=\"T_ee0f7_row83_col2\" class=\"data row83 col2\" >$ 1540471.24</td>\n",
+       "                        <td id=\"T_ee0f7_row83_col3\" class=\"data row83 col3\" >True</td>\n",
+       "                        <td id=\"T_ee0f7_row83_col4\" class=\"data row83 col4\" >76.00º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row84\" class=\"row_heading level0 row84\" >84</th>\n",
-       "                        <td id=\"T_b3bcd_row84_col0\" class=\"data row84 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row84_col1\" class=\"data row84 col1\" >16/09/11</td>\n",
-       "                        <td id=\"T_b3bcd_row84_col2\" class=\"data row84 col2\" >$ 1514259.78</td>\n",
-       "                        <td id=\"T_b3bcd_row84_col3\" class=\"data row84 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row84_col4\" class=\"data row84 col4\" >79.94º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row84\" class=\"row_heading level0 row84\" >84</th>\n",
+       "                        <td id=\"T_ee0f7_row84_col0\" class=\"data row84 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row84_col1\" class=\"data row84 col1\" >16/09/11</td>\n",
+       "                        <td id=\"T_ee0f7_row84_col2\" class=\"data row84 col2\" >$ 1514259.78</td>\n",
+       "                        <td id=\"T_ee0f7_row84_col3\" class=\"data row84 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row84_col4\" class=\"data row84 col4\" >79.94º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row85\" class=\"row_heading level0 row85\" >85</th>\n",
-       "                        <td id=\"T_b3bcd_row85_col0\" class=\"data row85 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row85_col1\" class=\"data row85 col1\" >23/09/11</td>\n",
-       "                        <td id=\"T_b3bcd_row85_col2\" class=\"data row85 col2\" >$ 1380020.27</td>\n",
-       "                        <td id=\"T_b3bcd_row85_col3\" class=\"data row85 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row85_col4\" class=\"data row85 col4\" >75.80º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row85\" class=\"row_heading level0 row85\" >85</th>\n",
+       "                        <td id=\"T_ee0f7_row85_col0\" class=\"data row85 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row85_col1\" class=\"data row85 col1\" >23/09/11</td>\n",
+       "                        <td id=\"T_ee0f7_row85_col2\" class=\"data row85 col2\" >$ 1380020.27</td>\n",
+       "                        <td id=\"T_ee0f7_row85_col3\" class=\"data row85 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row85_col4\" class=\"data row85 col4\" >75.80º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row86\" class=\"row_heading level0 row86\" >86</th>\n",
-       "                        <td id=\"T_b3bcd_row86_col0\" class=\"data row86 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row86_col1\" class=\"data row86 col1\" >30/09/11</td>\n",
-       "                        <td id=\"T_b3bcd_row86_col2\" class=\"data row86 col2\" >$ 1394561.83</td>\n",
-       "                        <td id=\"T_b3bcd_row86_col3\" class=\"data row86 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row86_col4\" class=\"data row86 col4\" >79.69º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row86\" class=\"row_heading level0 row86\" >86</th>\n",
+       "                        <td id=\"T_ee0f7_row86_col0\" class=\"data row86 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row86_col1\" class=\"data row86 col1\" >30/09/11</td>\n",
+       "                        <td id=\"T_ee0f7_row86_col2\" class=\"data row86 col2\" >$ 1394561.83</td>\n",
+       "                        <td id=\"T_ee0f7_row86_col3\" class=\"data row86 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row86_col4\" class=\"data row86 col4\" >79.69º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row87\" class=\"row_heading level0 row87\" >87</th>\n",
-       "                        <td id=\"T_b3bcd_row87_col0\" class=\"data row87 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row87_col1\" class=\"data row87 col1\" >10/07/11</td>\n",
-       "                        <td id=\"T_b3bcd_row87_col2\" class=\"data row87 col2\" >$ 1630989.95</td>\n",
-       "                        <td id=\"T_b3bcd_row87_col3\" class=\"data row87 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row87_col4\" class=\"data row87 col4\" >69.31º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row87\" class=\"row_heading level0 row87\" >87</th>\n",
+       "                        <td id=\"T_ee0f7_row87_col0\" class=\"data row87 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row87_col1\" class=\"data row87 col1\" >10/07/11</td>\n",
+       "                        <td id=\"T_ee0f7_row87_col2\" class=\"data row87 col2\" >$ 1630989.95</td>\n",
+       "                        <td id=\"T_ee0f7_row87_col3\" class=\"data row87 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row87_col4\" class=\"data row87 col4\" >69.31º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row88\" class=\"row_heading level0 row88\" >88</th>\n",
-       "                        <td id=\"T_b3bcd_row88_col0\" class=\"data row88 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row88_col1\" class=\"data row88 col1\" >14/10/11</td>\n",
-       "                        <td id=\"T_b3bcd_row88_col2\" class=\"data row88 col2\" >$ 1493525.93</td>\n",
-       "                        <td id=\"T_b3bcd_row88_col3\" class=\"data row88 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row88_col4\" class=\"data row88 col4\" >71.74º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row88\" class=\"row_heading level0 row88\" >88</th>\n",
+       "                        <td id=\"T_ee0f7_row88_col0\" class=\"data row88 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row88_col1\" class=\"data row88 col1\" >14/10/11</td>\n",
+       "                        <td id=\"T_ee0f7_row88_col2\" class=\"data row88 col2\" >$ 1493525.93</td>\n",
+       "                        <td id=\"T_ee0f7_row88_col3\" class=\"data row88 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row88_col4\" class=\"data row88 col4\" >71.74º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row89\" class=\"row_heading level0 row89\" >89</th>\n",
-       "                        <td id=\"T_b3bcd_row89_col0\" class=\"data row89 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row89_col1\" class=\"data row89 col1\" >21/10/11</td>\n",
-       "                        <td id=\"T_b3bcd_row89_col2\" class=\"data row89 col2\" >$ 1502562.78</td>\n",
-       "                        <td id=\"T_b3bcd_row89_col3\" class=\"data row89 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row89_col4\" class=\"data row89 col4\" >63.71º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row89\" class=\"row_heading level0 row89\" >89</th>\n",
+       "                        <td id=\"T_ee0f7_row89_col0\" class=\"data row89 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row89_col1\" class=\"data row89 col1\" >21/10/11</td>\n",
+       "                        <td id=\"T_ee0f7_row89_col2\" class=\"data row89 col2\" >$ 1502562.78</td>\n",
+       "                        <td id=\"T_ee0f7_row89_col3\" class=\"data row89 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row89_col4\" class=\"data row89 col4\" >63.71º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row90\" class=\"row_heading level0 row90\" >90</th>\n",
-       "                        <td id=\"T_b3bcd_row90_col0\" class=\"data row90 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row90_col1\" class=\"data row90 col1\" >28/10/11</td>\n",
-       "                        <td id=\"T_b3bcd_row90_col2\" class=\"data row90 col2\" >$ 1445249.09</td>\n",
-       "                        <td id=\"T_b3bcd_row90_col3\" class=\"data row90 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row90_col4\" class=\"data row90 col4\" >66.57º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row90\" class=\"row_heading level0 row90\" >90</th>\n",
+       "                        <td id=\"T_ee0f7_row90_col0\" class=\"data row90 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row90_col1\" class=\"data row90 col1\" >28/10/11</td>\n",
+       "                        <td id=\"T_ee0f7_row90_col2\" class=\"data row90 col2\" >$ 1445249.09</td>\n",
+       "                        <td id=\"T_ee0f7_row90_col3\" class=\"data row90 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row90_col4\" class=\"data row90 col4\" >66.57º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row91\" class=\"row_heading level0 row91\" >91</th>\n",
-       "                        <td id=\"T_b3bcd_row91_col0\" class=\"data row91 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row91_col1\" class=\"data row91 col1\" >11/04/11</td>\n",
-       "                        <td id=\"T_b3bcd_row91_col2\" class=\"data row91 col2\" >$ 1697229.58</td>\n",
-       "                        <td id=\"T_b3bcd_row91_col3\" class=\"data row91 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row91_col4\" class=\"data row91 col4\" >54.98º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row91\" class=\"row_heading level0 row91\" >91</th>\n",
+       "                        <td id=\"T_ee0f7_row91_col0\" class=\"data row91 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row91_col1\" class=\"data row91 col1\" >11/04/11</td>\n",
+       "                        <td id=\"T_ee0f7_row91_col2\" class=\"data row91 col2\" >$ 1697229.58</td>\n",
+       "                        <td id=\"T_ee0f7_row91_col3\" class=\"data row91 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row91_col4\" class=\"data row91 col4\" >54.98º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row92\" class=\"row_heading level0 row92\" >92</th>\n",
-       "                        <td id=\"T_b3bcd_row92_col0\" class=\"data row92 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row92_col1\" class=\"data row92 col1\" >11/11/11</td>\n",
-       "                        <td id=\"T_b3bcd_row92_col2\" class=\"data row92 col2\" >$ 1594938.89</td>\n",
-       "                        <td id=\"T_b3bcd_row92_col3\" class=\"data row92 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row92_col4\" class=\"data row92 col4\" >59.11º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row92\" class=\"row_heading level0 row92\" >92</th>\n",
+       "                        <td id=\"T_ee0f7_row92_col0\" class=\"data row92 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row92_col1\" class=\"data row92 col1\" >11/11/11</td>\n",
+       "                        <td id=\"T_ee0f7_row92_col2\" class=\"data row92 col2\" >$ 1594938.89</td>\n",
+       "                        <td id=\"T_ee0f7_row92_col3\" class=\"data row92 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row92_col4\" class=\"data row92 col4\" >59.11º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row93\" class=\"row_heading level0 row93\" >93</th>\n",
-       "                        <td id=\"T_b3bcd_row93_col0\" class=\"data row93 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row93_col1\" class=\"data row93 col1\" >18/11/11</td>\n",
-       "                        <td id=\"T_b3bcd_row93_col2\" class=\"data row93 col2\" >$ 1539483.70</td>\n",
-       "                        <td id=\"T_b3bcd_row93_col3\" class=\"data row93 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row93_col4\" class=\"data row93 col4\" >62.25º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row93\" class=\"row_heading level0 row93\" >93</th>\n",
+       "                        <td id=\"T_ee0f7_row93_col0\" class=\"data row93 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row93_col1\" class=\"data row93 col1\" >18/11/11</td>\n",
+       "                        <td id=\"T_ee0f7_row93_col2\" class=\"data row93 col2\" >$ 1539483.70</td>\n",
+       "                        <td id=\"T_ee0f7_row93_col3\" class=\"data row93 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row93_col4\" class=\"data row93 col4\" >62.25º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row94\" class=\"row_heading level0 row94\" >94</th>\n",
-       "                        <td id=\"T_b3bcd_row94_col0\" class=\"data row94 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row94_col1\" class=\"data row94 col1\" >25/11/11</td>\n",
-       "                        <td id=\"T_b3bcd_row94_col2\" class=\"data row94 col2\" >$ 2033320.66</td>\n",
-       "                        <td id=\"T_b3bcd_row94_col3\" class=\"data row94 col3\" >True</td>\n",
-       "                        <td id=\"T_b3bcd_row94_col4\" class=\"data row94 col4\" >60.14º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row94\" class=\"row_heading level0 row94\" >94</th>\n",
+       "                        <td id=\"T_ee0f7_row94_col0\" class=\"data row94 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row94_col1\" class=\"data row94 col1\" >25/11/11</td>\n",
+       "                        <td id=\"T_ee0f7_row94_col2\" class=\"data row94 col2\" >$ 2033320.66</td>\n",
+       "                        <td id=\"T_ee0f7_row94_col3\" class=\"data row94 col3\" >True</td>\n",
+       "                        <td id=\"T_ee0f7_row94_col4\" class=\"data row94 col4\" >60.14º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row95\" class=\"row_heading level0 row95\" >95</th>\n",
-       "                        <td id=\"T_b3bcd_row95_col0\" class=\"data row95 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row95_col1\" class=\"data row95 col1\" >12/02/11</td>\n",
-       "                        <td id=\"T_b3bcd_row95_col2\" class=\"data row95 col2\" >$ 1584083.95</td>\n",
-       "                        <td id=\"T_b3bcd_row95_col3\" class=\"data row95 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row95_col4\" class=\"data row95 col4\" >48.91º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row95\" class=\"row_heading level0 row95\" >95</th>\n",
+       "                        <td id=\"T_ee0f7_row95_col0\" class=\"data row95 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row95_col1\" class=\"data row95 col1\" >12/02/11</td>\n",
+       "                        <td id=\"T_ee0f7_row95_col2\" class=\"data row95 col2\" >$ 1584083.95</td>\n",
+       "                        <td id=\"T_ee0f7_row95_col3\" class=\"data row95 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row95_col4\" class=\"data row95 col4\" >48.91º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row96\" class=\"row_heading level0 row96\" >96</th>\n",
-       "                        <td id=\"T_b3bcd_row96_col0\" class=\"data row96 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row96_col1\" class=\"data row96 col1\" >12/09/11</td>\n",
-       "                        <td id=\"T_b3bcd_row96_col2\" class=\"data row96 col2\" >$ 1799682.38</td>\n",
-       "                        <td id=\"T_b3bcd_row96_col3\" class=\"data row96 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row96_col4\" class=\"data row96 col4\" >43.93º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row96\" class=\"row_heading level0 row96\" >96</th>\n",
+       "                        <td id=\"T_ee0f7_row96_col0\" class=\"data row96 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row96_col1\" class=\"data row96 col1\" >12/09/11</td>\n",
+       "                        <td id=\"T_ee0f7_row96_col2\" class=\"data row96 col2\" >$ 1799682.38</td>\n",
+       "                        <td id=\"T_ee0f7_row96_col3\" class=\"data row96 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row96_col4\" class=\"data row96 col4\" >43.93º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row97\" class=\"row_heading level0 row97\" >97</th>\n",
-       "                        <td id=\"T_b3bcd_row97_col0\" class=\"data row97 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row97_col1\" class=\"data row97 col1\" >16/12/11</td>\n",
-       "                        <td id=\"T_b3bcd_row97_col2\" class=\"data row97 col2\" >$ 1881176.67</td>\n",
-       "                        <td id=\"T_b3bcd_row97_col3\" class=\"data row97 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row97_col4\" class=\"data row97 col4\" >51.63º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row97\" class=\"row_heading level0 row97\" >97</th>\n",
+       "                        <td id=\"T_ee0f7_row97_col0\" class=\"data row97 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row97_col1\" class=\"data row97 col1\" >16/12/11</td>\n",
+       "                        <td id=\"T_ee0f7_row97_col2\" class=\"data row97 col2\" >$ 1881176.67</td>\n",
+       "                        <td id=\"T_ee0f7_row97_col3\" class=\"data row97 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row97_col4\" class=\"data row97 col4\" >51.63º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row98\" class=\"row_heading level0 row98\" >98</th>\n",
-       "                        <td id=\"T_b3bcd_row98_col0\" class=\"data row98 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row98_col1\" class=\"data row98 col1\" >23/12/11</td>\n",
-       "                        <td id=\"T_b3bcd_row98_col2\" class=\"data row98 col2\" >$ 2270188.99</td>\n",
-       "                        <td id=\"T_b3bcd_row98_col3\" class=\"data row98 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row98_col4\" class=\"data row98 col4\" >47.96º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row98\" class=\"row_heading level0 row98\" >98</th>\n",
+       "                        <td id=\"T_ee0f7_row98_col0\" class=\"data row98 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row98_col1\" class=\"data row98 col1\" >23/12/11</td>\n",
+       "                        <td id=\"T_ee0f7_row98_col2\" class=\"data row98 col2\" >$ 2270188.99</td>\n",
+       "                        <td id=\"T_ee0f7_row98_col3\" class=\"data row98 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row98_col4\" class=\"data row98 col4\" >47.96º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row99\" class=\"row_heading level0 row99\" >99</th>\n",
-       "                        <td id=\"T_b3bcd_row99_col0\" class=\"data row99 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row99_col1\" class=\"data row99 col1\" >30/12/11</td>\n",
-       "                        <td id=\"T_b3bcd_row99_col2\" class=\"data row99 col2\" >$ 1497462.72</td>\n",
-       "                        <td id=\"T_b3bcd_row99_col3\" class=\"data row99 col3\" >True</td>\n",
-       "                        <td id=\"T_b3bcd_row99_col4\" class=\"data row99 col4\" >44.55º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row99\" class=\"row_heading level0 row99\" >99</th>\n",
+       "                        <td id=\"T_ee0f7_row99_col0\" class=\"data row99 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row99_col1\" class=\"data row99 col1\" >30/12/11</td>\n",
+       "                        <td id=\"T_ee0f7_row99_col2\" class=\"data row99 col2\" >$ 1497462.72</td>\n",
+       "                        <td id=\"T_ee0f7_row99_col3\" class=\"data row99 col3\" >True</td>\n",
+       "                        <td id=\"T_ee0f7_row99_col4\" class=\"data row99 col4\" >44.55º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row100\" class=\"row_heading level0 row100\" >100</th>\n",
-       "                        <td id=\"T_b3bcd_row100_col0\" class=\"data row100 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row100_col1\" class=\"data row100 col1\" >01/06/12</td>\n",
-       "                        <td id=\"T_b3bcd_row100_col2\" class=\"data row100 col2\" >$ 1550369.92</td>\n",
-       "                        <td id=\"T_b3bcd_row100_col3\" class=\"data row100 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row100_col4\" class=\"data row100 col4\" >49.01º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row100\" class=\"row_heading level0 row100\" >100</th>\n",
+       "                        <td id=\"T_ee0f7_row100_col0\" class=\"data row100 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row100_col1\" class=\"data row100 col1\" >01/06/12</td>\n",
+       "                        <td id=\"T_ee0f7_row100_col2\" class=\"data row100 col2\" >$ 1550369.92</td>\n",
+       "                        <td id=\"T_ee0f7_row100_col3\" class=\"data row100 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row100_col4\" class=\"data row100 col4\" >49.01º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row101\" class=\"row_heading level0 row101\" >101</th>\n",
-       "                        <td id=\"T_b3bcd_row101_col0\" class=\"data row101 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row101_col1\" class=\"data row101 col1\" >13/01/12</td>\n",
-       "                        <td id=\"T_b3bcd_row101_col2\" class=\"data row101 col2\" >$ 1459601.17</td>\n",
-       "                        <td id=\"T_b3bcd_row101_col3\" class=\"data row101 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row101_col4\" class=\"data row101 col4\" >48.53º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row101\" class=\"row_heading level0 row101\" >101</th>\n",
+       "                        <td id=\"T_ee0f7_row101_col0\" class=\"data row101 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row101_col1\" class=\"data row101 col1\" >13/01/12</td>\n",
+       "                        <td id=\"T_ee0f7_row101_col2\" class=\"data row101 col2\" >$ 1459601.17</td>\n",
+       "                        <td id=\"T_ee0f7_row101_col3\" class=\"data row101 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row101_col4\" class=\"data row101 col4\" >48.53º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row102\" class=\"row_heading level0 row102\" >102</th>\n",
-       "                        <td id=\"T_b3bcd_row102_col0\" class=\"data row102 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row102_col1\" class=\"data row102 col1\" >20/01/12</td>\n",
-       "                        <td id=\"T_b3bcd_row102_col2\" class=\"data row102 col2\" >$ 1394393.84</td>\n",
-       "                        <td id=\"T_b3bcd_row102_col3\" class=\"data row102 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row102_col4\" class=\"data row102 col4\" >54.11º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row102\" class=\"row_heading level0 row102\" >102</th>\n",
+       "                        <td id=\"T_ee0f7_row102_col0\" class=\"data row102 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row102_col1\" class=\"data row102 col1\" >20/01/12</td>\n",
+       "                        <td id=\"T_ee0f7_row102_col2\" class=\"data row102 col2\" >$ 1394393.84</td>\n",
+       "                        <td id=\"T_ee0f7_row102_col3\" class=\"data row102 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row102_col4\" class=\"data row102 col4\" >54.11º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row103\" class=\"row_heading level0 row103\" >103</th>\n",
-       "                        <td id=\"T_b3bcd_row103_col0\" class=\"data row103 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row103_col1\" class=\"data row103 col1\" >27/01/12</td>\n",
-       "                        <td id=\"T_b3bcd_row103_col2\" class=\"data row103 col2\" >$ 1319325.59</td>\n",
-       "                        <td id=\"T_b3bcd_row103_col3\" class=\"data row103 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row103_col4\" class=\"data row103 col4\" >54.26º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row103\" class=\"row_heading level0 row103\" >103</th>\n",
+       "                        <td id=\"T_ee0f7_row103_col0\" class=\"data row103 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row103_col1\" class=\"data row103 col1\" >27/01/12</td>\n",
+       "                        <td id=\"T_ee0f7_row103_col2\" class=\"data row103 col2\" >$ 1319325.59</td>\n",
+       "                        <td id=\"T_ee0f7_row103_col3\" class=\"data row103 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row103_col4\" class=\"data row103 col4\" >54.26º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row104\" class=\"row_heading level0 row104\" >104</th>\n",
-       "                        <td id=\"T_b3bcd_row104_col0\" class=\"data row104 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row104_col1\" class=\"data row104 col1\" >02/03/12</td>\n",
-       "                        <td id=\"T_b3bcd_row104_col2\" class=\"data row104 col2\" >$ 1636339.65</td>\n",
-       "                        <td id=\"T_b3bcd_row104_col3\" class=\"data row104 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row104_col4\" class=\"data row104 col4\" >56.55º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row104\" class=\"row_heading level0 row104\" >104</th>\n",
+       "                        <td id=\"T_ee0f7_row104_col0\" class=\"data row104 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row104_col1\" class=\"data row104 col1\" >02/03/12</td>\n",
+       "                        <td id=\"T_ee0f7_row104_col2\" class=\"data row104 col2\" >$ 1636339.65</td>\n",
+       "                        <td id=\"T_ee0f7_row104_col3\" class=\"data row104 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row104_col4\" class=\"data row104 col4\" >56.55º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row105\" class=\"row_heading level0 row105\" >105</th>\n",
-       "                        <td id=\"T_b3bcd_row105_col0\" class=\"data row105 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row105_col1\" class=\"data row105 col1\" >02/10/12</td>\n",
-       "                        <td id=\"T_b3bcd_row105_col2\" class=\"data row105 col2\" >$ 1802477.43</td>\n",
-       "                        <td id=\"T_b3bcd_row105_col3\" class=\"data row105 col3\" >True</td>\n",
-       "                        <td id=\"T_b3bcd_row105_col4\" class=\"data row105 col4\" >48.02º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row105\" class=\"row_heading level0 row105\" >105</th>\n",
+       "                        <td id=\"T_ee0f7_row105_col0\" class=\"data row105 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row105_col1\" class=\"data row105 col1\" >02/10/12</td>\n",
+       "                        <td id=\"T_ee0f7_row105_col2\" class=\"data row105 col2\" >$ 1802477.43</td>\n",
+       "                        <td id=\"T_ee0f7_row105_col3\" class=\"data row105 col3\" >True</td>\n",
+       "                        <td id=\"T_ee0f7_row105_col4\" class=\"data row105 col4\" >48.02º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row106\" class=\"row_heading level0 row106\" >106</th>\n",
-       "                        <td id=\"T_b3bcd_row106_col0\" class=\"data row106 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row106_col1\" class=\"data row106 col1\" >17/02/12</td>\n",
-       "                        <td id=\"T_b3bcd_row106_col2\" class=\"data row106 col2\" >$ 1819870.00</td>\n",
-       "                        <td id=\"T_b3bcd_row106_col3\" class=\"data row106 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row106_col4\" class=\"data row106 col4\" >45.32º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row106\" class=\"row_heading level0 row106\" >106</th>\n",
+       "                        <td id=\"T_ee0f7_row106_col0\" class=\"data row106 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row106_col1\" class=\"data row106 col1\" >17/02/12</td>\n",
+       "                        <td id=\"T_ee0f7_row106_col2\" class=\"data row106 col2\" >$ 1819870.00</td>\n",
+       "                        <td id=\"T_ee0f7_row106_col3\" class=\"data row106 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row106_col4\" class=\"data row106 col4\" >45.32º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row107\" class=\"row_heading level0 row107\" >107</th>\n",
-       "                        <td id=\"T_b3bcd_row107_col0\" class=\"data row107 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row107_col1\" class=\"data row107 col1\" >24/02/12</td>\n",
-       "                        <td id=\"T_b3bcd_row107_col2\" class=\"data row107 col2\" >$ 1539387.83</td>\n",
-       "                        <td id=\"T_b3bcd_row107_col3\" class=\"data row107 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row107_col4\" class=\"data row107 col4\" >57.25º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row107\" class=\"row_heading level0 row107\" >107</th>\n",
+       "                        <td id=\"T_ee0f7_row107_col0\" class=\"data row107 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row107_col1\" class=\"data row107 col1\" >24/02/12</td>\n",
+       "                        <td id=\"T_ee0f7_row107_col2\" class=\"data row107 col2\" >$ 1539387.83</td>\n",
+       "                        <td id=\"T_ee0f7_row107_col3\" class=\"data row107 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row107_col4\" class=\"data row107 col4\" >57.25º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row108\" class=\"row_heading level0 row108\" >108</th>\n",
-       "                        <td id=\"T_b3bcd_row108_col0\" class=\"data row108 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row108_col1\" class=\"data row108 col1\" >03/02/12</td>\n",
-       "                        <td id=\"T_b3bcd_row108_col2\" class=\"data row108 col2\" >$ 1688420.76</td>\n",
-       "                        <td id=\"T_b3bcd_row108_col3\" class=\"data row108 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row108_col4\" class=\"data row108 col4\" >60.96º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row108\" class=\"row_heading level0 row108\" >108</th>\n",
+       "                        <td id=\"T_ee0f7_row108_col0\" class=\"data row108 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row108_col1\" class=\"data row108 col1\" >03/02/12</td>\n",
+       "                        <td id=\"T_ee0f7_row108_col2\" class=\"data row108 col2\" >$ 1688420.76</td>\n",
+       "                        <td id=\"T_ee0f7_row108_col3\" class=\"data row108 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row108_col4\" class=\"data row108 col4\" >60.96º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row109\" class=\"row_heading level0 row109\" >109</th>\n",
-       "                        <td id=\"T_b3bcd_row109_col0\" class=\"data row109 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row109_col1\" class=\"data row109 col1\" >03/09/12</td>\n",
-       "                        <td id=\"T_b3bcd_row109_col2\" class=\"data row109 col2\" >$ 1675431.16</td>\n",
-       "                        <td id=\"T_b3bcd_row109_col3\" class=\"data row109 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row109_col4\" class=\"data row109 col4\" >58.76º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row109\" class=\"row_heading level0 row109\" >109</th>\n",
+       "                        <td id=\"T_ee0f7_row109_col0\" class=\"data row109 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row109_col1\" class=\"data row109 col1\" >03/09/12</td>\n",
+       "                        <td id=\"T_ee0f7_row109_col2\" class=\"data row109 col2\" >$ 1675431.16</td>\n",
+       "                        <td id=\"T_ee0f7_row109_col3\" class=\"data row109 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row109_col4\" class=\"data row109 col4\" >58.76º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row110\" class=\"row_heading level0 row110\" >110</th>\n",
-       "                        <td id=\"T_b3bcd_row110_col0\" class=\"data row110 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row110_col1\" class=\"data row110 col1\" >16/03/12</td>\n",
-       "                        <td id=\"T_b3bcd_row110_col2\" class=\"data row110 col2\" >$ 1677472.78</td>\n",
-       "                        <td id=\"T_b3bcd_row110_col3\" class=\"data row110 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row110_col4\" class=\"data row110 col4\" >64.74º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row110\" class=\"row_heading level0 row110\" >110</th>\n",
+       "                        <td id=\"T_ee0f7_row110_col0\" class=\"data row110 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row110_col1\" class=\"data row110 col1\" >16/03/12</td>\n",
+       "                        <td id=\"T_ee0f7_row110_col2\" class=\"data row110 col2\" >$ 1677472.78</td>\n",
+       "                        <td id=\"T_ee0f7_row110_col3\" class=\"data row110 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row110_col4\" class=\"data row110 col4\" >64.74º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row111\" class=\"row_heading level0 row111\" >111</th>\n",
-       "                        <td id=\"T_b3bcd_row111_col0\" class=\"data row111 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row111_col1\" class=\"data row111 col1\" >23/03/12</td>\n",
-       "                        <td id=\"T_b3bcd_row111_col2\" class=\"data row111 col2\" >$ 1511068.07</td>\n",
-       "                        <td id=\"T_b3bcd_row111_col3\" class=\"data row111 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row111_col4\" class=\"data row111 col4\" >65.93º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row111\" class=\"row_heading level0 row111\" >111</th>\n",
+       "                        <td id=\"T_ee0f7_row111_col0\" class=\"data row111 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row111_col1\" class=\"data row111 col1\" >23/03/12</td>\n",
+       "                        <td id=\"T_ee0f7_row111_col2\" class=\"data row111 col2\" >$ 1511068.07</td>\n",
+       "                        <td id=\"T_ee0f7_row111_col3\" class=\"data row111 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row111_col4\" class=\"data row111 col4\" >65.93º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row112\" class=\"row_heading level0 row112\" >112</th>\n",
-       "                        <td id=\"T_b3bcd_row112_col0\" class=\"data row112 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row112_col1\" class=\"data row112 col1\" >30/03/12</td>\n",
-       "                        <td id=\"T_b3bcd_row112_col2\" class=\"data row112 col2\" >$ 1649604.63</td>\n",
-       "                        <td id=\"T_b3bcd_row112_col3\" class=\"data row112 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row112_col4\" class=\"data row112 col4\" >67.61º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row112\" class=\"row_heading level0 row112\" >112</th>\n",
+       "                        <td id=\"T_ee0f7_row112_col0\" class=\"data row112 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row112_col1\" class=\"data row112 col1\" >30/03/12</td>\n",
+       "                        <td id=\"T_ee0f7_row112_col2\" class=\"data row112 col2\" >$ 1649604.63</td>\n",
+       "                        <td id=\"T_ee0f7_row112_col3\" class=\"data row112 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row112_col4\" class=\"data row112 col4\" >67.61º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row113\" class=\"row_heading level0 row113\" >113</th>\n",
-       "                        <td id=\"T_b3bcd_row113_col0\" class=\"data row113 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row113_col1\" class=\"data row113 col1\" >04/06/12</td>\n",
-       "                        <td id=\"T_b3bcd_row113_col2\" class=\"data row113 col2\" >$ 1899676.88</td>\n",
-       "                        <td id=\"T_b3bcd_row113_col3\" class=\"data row113 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row113_col4\" class=\"data row113 col4\" >70.43º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row113\" class=\"row_heading level0 row113\" >113</th>\n",
+       "                        <td id=\"T_ee0f7_row113_col0\" class=\"data row113 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row113_col1\" class=\"data row113 col1\" >04/06/12</td>\n",
+       "                        <td id=\"T_ee0f7_row113_col2\" class=\"data row113 col2\" >$ 1899676.88</td>\n",
+       "                        <td id=\"T_ee0f7_row113_col3\" class=\"data row113 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row113_col4\" class=\"data row113 col4\" >70.43º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row114\" class=\"row_heading level0 row114\" >114</th>\n",
-       "                        <td id=\"T_b3bcd_row114_col0\" class=\"data row114 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row114_col1\" class=\"data row114 col1\" >13/04/12</td>\n",
-       "                        <td id=\"T_b3bcd_row114_col2\" class=\"data row114 col2\" >$ 1621031.70</td>\n",
-       "                        <td id=\"T_b3bcd_row114_col3\" class=\"data row114 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row114_col4\" class=\"data row114 col4\" >69.07º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row114\" class=\"row_heading level0 row114\" >114</th>\n",
+       "                        <td id=\"T_ee0f7_row114_col0\" class=\"data row114 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row114_col1\" class=\"data row114 col1\" >13/04/12</td>\n",
+       "                        <td id=\"T_ee0f7_row114_col2\" class=\"data row114 col2\" >$ 1621031.70</td>\n",
+       "                        <td id=\"T_ee0f7_row114_col3\" class=\"data row114 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row114_col4\" class=\"data row114 col4\" >69.07º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row115\" class=\"row_heading level0 row115\" >115</th>\n",
-       "                        <td id=\"T_b3bcd_row115_col0\" class=\"data row115 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row115_col1\" class=\"data row115 col1\" >20/04/12</td>\n",
-       "                        <td id=\"T_b3bcd_row115_col2\" class=\"data row115 col2\" >$ 1521577.87</td>\n",
-       "                        <td id=\"T_b3bcd_row115_col3\" class=\"data row115 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row115_col4\" class=\"data row115 col4\" >66.76º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row115\" class=\"row_heading level0 row115\" >115</th>\n",
+       "                        <td id=\"T_ee0f7_row115_col0\" class=\"data row115 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row115_col1\" class=\"data row115 col1\" >20/04/12</td>\n",
+       "                        <td id=\"T_ee0f7_row115_col2\" class=\"data row115 col2\" >$ 1521577.87</td>\n",
+       "                        <td id=\"T_ee0f7_row115_col3\" class=\"data row115 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row115_col4\" class=\"data row115 col4\" >66.76º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row116\" class=\"row_heading level0 row116\" >116</th>\n",
-       "                        <td id=\"T_b3bcd_row116_col0\" class=\"data row116 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row116_col1\" class=\"data row116 col1\" >27/04/12</td>\n",
-       "                        <td id=\"T_b3bcd_row116_col2\" class=\"data row116 col2\" >$ 1468928.37</td>\n",
-       "                        <td id=\"T_b3bcd_row116_col3\" class=\"data row116 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row116_col4\" class=\"data row116 col4\" >67.23º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row116\" class=\"row_heading level0 row116\" >116</th>\n",
+       "                        <td id=\"T_ee0f7_row116_col0\" class=\"data row116 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row116_col1\" class=\"data row116 col1\" >27/04/12</td>\n",
+       "                        <td id=\"T_ee0f7_row116_col2\" class=\"data row116 col2\" >$ 1468928.37</td>\n",
+       "                        <td id=\"T_ee0f7_row116_col3\" class=\"data row116 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row116_col4\" class=\"data row116 col4\" >67.23º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row117\" class=\"row_heading level0 row117\" >117</th>\n",
-       "                        <td id=\"T_b3bcd_row117_col0\" class=\"data row117 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row117_col1\" class=\"data row117 col1\" >05/04/12</td>\n",
-       "                        <td id=\"T_b3bcd_row117_col2\" class=\"data row117 col2\" >$ 1684519.99</td>\n",
-       "                        <td id=\"T_b3bcd_row117_col3\" class=\"data row117 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row117_col4\" class=\"data row117 col4\" >75.55º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row117\" class=\"row_heading level0 row117\" >117</th>\n",
+       "                        <td id=\"T_ee0f7_row117_col0\" class=\"data row117 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row117_col1\" class=\"data row117 col1\" >05/04/12</td>\n",
+       "                        <td id=\"T_ee0f7_row117_col2\" class=\"data row117 col2\" >$ 1684519.99</td>\n",
+       "                        <td id=\"T_ee0f7_row117_col3\" class=\"data row117 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row117_col4\" class=\"data row117 col4\" >75.55º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row118\" class=\"row_heading level0 row118\" >118</th>\n",
-       "                        <td id=\"T_b3bcd_row118_col0\" class=\"data row118 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row118_col1\" class=\"data row118 col1\" >05/11/12</td>\n",
-       "                        <td id=\"T_b3bcd_row118_col2\" class=\"data row118 col2\" >$ 1611096.05</td>\n",
-       "                        <td id=\"T_b3bcd_row118_col3\" class=\"data row118 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row118_col4\" class=\"data row118 col4\" >73.77º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row118\" class=\"row_heading level0 row118\" >118</th>\n",
+       "                        <td id=\"T_ee0f7_row118_col0\" class=\"data row118 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row118_col1\" class=\"data row118 col1\" >05/11/12</td>\n",
+       "                        <td id=\"T_ee0f7_row118_col2\" class=\"data row118 col2\" >$ 1611096.05</td>\n",
+       "                        <td id=\"T_ee0f7_row118_col3\" class=\"data row118 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row118_col4\" class=\"data row118 col4\" >73.77º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row119\" class=\"row_heading level0 row119\" >119</th>\n",
-       "                        <td id=\"T_b3bcd_row119_col0\" class=\"data row119 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row119_col1\" class=\"data row119 col1\" >18/05/12</td>\n",
-       "                        <td id=\"T_b3bcd_row119_col2\" class=\"data row119 col2\" >$ 1595901.87</td>\n",
-       "                        <td id=\"T_b3bcd_row119_col3\" class=\"data row119 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row119_col4\" class=\"data row119 col4\" >70.33º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row119\" class=\"row_heading level0 row119\" >119</th>\n",
+       "                        <td id=\"T_ee0f7_row119_col0\" class=\"data row119 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row119_col1\" class=\"data row119 col1\" >18/05/12</td>\n",
+       "                        <td id=\"T_ee0f7_row119_col2\" class=\"data row119 col2\" >$ 1595901.87</td>\n",
+       "                        <td id=\"T_ee0f7_row119_col3\" class=\"data row119 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row119_col4\" class=\"data row119 col4\" >70.33º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row120\" class=\"row_heading level0 row120\" >120</th>\n",
-       "                        <td id=\"T_b3bcd_row120_col0\" class=\"data row120 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row120_col1\" class=\"data row120 col1\" >25/05/12</td>\n",
-       "                        <td id=\"T_b3bcd_row120_col2\" class=\"data row120 col2\" >$ 1555444.55</td>\n",
-       "                        <td id=\"T_b3bcd_row120_col3\" class=\"data row120 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row120_col4\" class=\"data row120 col4\" >77.22º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row120\" class=\"row_heading level0 row120\" >120</th>\n",
+       "                        <td id=\"T_ee0f7_row120_col0\" class=\"data row120 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row120_col1\" class=\"data row120 col1\" >25/05/12</td>\n",
+       "                        <td id=\"T_ee0f7_row120_col2\" class=\"data row120 col2\" >$ 1555444.55</td>\n",
+       "                        <td id=\"T_ee0f7_row120_col3\" class=\"data row120 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row120_col4\" class=\"data row120 col4\" >77.22º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row121\" class=\"row_heading level0 row121\" >121</th>\n",
-       "                        <td id=\"T_b3bcd_row121_col0\" class=\"data row121 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row121_col1\" class=\"data row121 col1\" >06/01/12</td>\n",
-       "                        <td id=\"T_b3bcd_row121_col2\" class=\"data row121 col2\" >$ 1624477.58</td>\n",
-       "                        <td id=\"T_b3bcd_row121_col3\" class=\"data row121 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row121_col4\" class=\"data row121 col4\" >77.95º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row121\" class=\"row_heading level0 row121\" >121</th>\n",
+       "                        <td id=\"T_ee0f7_row121_col0\" class=\"data row121 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row121_col1\" class=\"data row121 col1\" >06/01/12</td>\n",
+       "                        <td id=\"T_ee0f7_row121_col2\" class=\"data row121 col2\" >$ 1624477.58</td>\n",
+       "                        <td id=\"T_ee0f7_row121_col3\" class=\"data row121 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row121_col4\" class=\"data row121 col4\" >77.95º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row122\" class=\"row_heading level0 row122\" >122</th>\n",
-       "                        <td id=\"T_b3bcd_row122_col0\" class=\"data row122 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row122_col1\" class=\"data row122 col1\" >06/08/12</td>\n",
-       "                        <td id=\"T_b3bcd_row122_col2\" class=\"data row122 col2\" >$ 1697230.96</td>\n",
-       "                        <td id=\"T_b3bcd_row122_col3\" class=\"data row122 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row122_col4\" class=\"data row122 col4\" >78.30º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row122\" class=\"row_heading level0 row122\" >122</th>\n",
+       "                        <td id=\"T_ee0f7_row122_col0\" class=\"data row122 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row122_col1\" class=\"data row122 col1\" >06/08/12</td>\n",
+       "                        <td id=\"T_ee0f7_row122_col2\" class=\"data row122 col2\" >$ 1697230.96</td>\n",
+       "                        <td id=\"T_ee0f7_row122_col3\" class=\"data row122 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row122_col4\" class=\"data row122 col4\" >78.30º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row123\" class=\"row_heading level0 row123\" >123</th>\n",
-       "                        <td id=\"T_b3bcd_row123_col0\" class=\"data row123 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row123_col1\" class=\"data row123 col1\" >15/06/12</td>\n",
-       "                        <td id=\"T_b3bcd_row123_col2\" class=\"data row123 col2\" >$ 1630607.00</td>\n",
-       "                        <td id=\"T_b3bcd_row123_col3\" class=\"data row123 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row123_col4\" class=\"data row123 col4\" >79.35º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row123\" class=\"row_heading level0 row123\" >123</th>\n",
+       "                        <td id=\"T_ee0f7_row123_col0\" class=\"data row123 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row123_col1\" class=\"data row123 col1\" >15/06/12</td>\n",
+       "                        <td id=\"T_ee0f7_row123_col2\" class=\"data row123 col2\" >$ 1630607.00</td>\n",
+       "                        <td id=\"T_ee0f7_row123_col3\" class=\"data row123 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row123_col4\" class=\"data row123 col4\" >79.35º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row124\" class=\"row_heading level0 row124\" >124</th>\n",
-       "                        <td id=\"T_b3bcd_row124_col0\" class=\"data row124 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row124_col1\" class=\"data row124 col1\" >22/06/12</td>\n",
-       "                        <td id=\"T_b3bcd_row124_col2\" class=\"data row124 col2\" >$ 1527845.81</td>\n",
-       "                        <td id=\"T_b3bcd_row124_col3\" class=\"data row124 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row124_col4\" class=\"data row124 col4\" >78.39º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row124\" class=\"row_heading level0 row124\" >124</th>\n",
+       "                        <td id=\"T_ee0f7_row124_col0\" class=\"data row124 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row124_col1\" class=\"data row124 col1\" >22/06/12</td>\n",
+       "                        <td id=\"T_ee0f7_row124_col2\" class=\"data row124 col2\" >$ 1527845.81</td>\n",
+       "                        <td id=\"T_ee0f7_row124_col3\" class=\"data row124 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row124_col4\" class=\"data row124 col4\" >78.39º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row125\" class=\"row_heading level0 row125\" >125</th>\n",
-       "                        <td id=\"T_b3bcd_row125_col0\" class=\"data row125 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row125_col1\" class=\"data row125 col1\" >29/06/12</td>\n",
-       "                        <td id=\"T_b3bcd_row125_col2\" class=\"data row125 col2\" >$ 1540421.49</td>\n",
-       "                        <td id=\"T_b3bcd_row125_col3\" class=\"data row125 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row125_col4\" class=\"data row125 col4\" >84.88º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row125\" class=\"row_heading level0 row125\" >125</th>\n",
+       "                        <td id=\"T_ee0f7_row125_col0\" class=\"data row125 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row125_col1\" class=\"data row125 col1\" >29/06/12</td>\n",
+       "                        <td id=\"T_ee0f7_row125_col2\" class=\"data row125 col2\" >$ 1540421.49</td>\n",
+       "                        <td id=\"T_ee0f7_row125_col3\" class=\"data row125 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row125_col4\" class=\"data row125 col4\" >84.88º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row126\" class=\"row_heading level0 row126\" >126</th>\n",
-       "                        <td id=\"T_b3bcd_row126_col0\" class=\"data row126 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row126_col1\" class=\"data row126 col1\" >07/06/12</td>\n",
-       "                        <td id=\"T_b3bcd_row126_col2\" class=\"data row126 col2\" >$ 1769854.16</td>\n",
-       "                        <td id=\"T_b3bcd_row126_col3\" class=\"data row126 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row126_col4\" class=\"data row126 col4\" >81.57º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row126\" class=\"row_heading level0 row126\" >126</th>\n",
+       "                        <td id=\"T_ee0f7_row126_col0\" class=\"data row126 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row126_col1\" class=\"data row126 col1\" >07/06/12</td>\n",
+       "                        <td id=\"T_ee0f7_row126_col2\" class=\"data row126 col2\" >$ 1769854.16</td>\n",
+       "                        <td id=\"T_ee0f7_row126_col3\" class=\"data row126 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row126_col4\" class=\"data row126 col4\" >81.57º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row127\" class=\"row_heading level0 row127\" >127</th>\n",
-       "                        <td id=\"T_b3bcd_row127_col0\" class=\"data row127 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row127_col1\" class=\"data row127 col1\" >13/07/12</td>\n",
-       "                        <td id=\"T_b3bcd_row127_col2\" class=\"data row127 col2\" >$ 1527014.04</td>\n",
-       "                        <td id=\"T_b3bcd_row127_col3\" class=\"data row127 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row127_col4\" class=\"data row127 col4\" >77.12º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row127\" class=\"row_heading level0 row127\" >127</th>\n",
+       "                        <td id=\"T_ee0f7_row127_col0\" class=\"data row127 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row127_col1\" class=\"data row127 col1\" >13/07/12</td>\n",
+       "                        <td id=\"T_ee0f7_row127_col2\" class=\"data row127 col2\" >$ 1527014.04</td>\n",
+       "                        <td id=\"T_ee0f7_row127_col3\" class=\"data row127 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row127_col4\" class=\"data row127 col4\" >77.12º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row128\" class=\"row_heading level0 row128\" >128</th>\n",
-       "                        <td id=\"T_b3bcd_row128_col0\" class=\"data row128 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row128_col1\" class=\"data row128 col1\" >20/07/12</td>\n",
-       "                        <td id=\"T_b3bcd_row128_col2\" class=\"data row128 col2\" >$ 1497954.76</td>\n",
-       "                        <td id=\"T_b3bcd_row128_col3\" class=\"data row128 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row128_col4\" class=\"data row128 col4\" >80.42º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row128\" class=\"row_heading level0 row128\" >128</th>\n",
+       "                        <td id=\"T_ee0f7_row128_col0\" class=\"data row128 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row128_col1\" class=\"data row128 col1\" >20/07/12</td>\n",
+       "                        <td id=\"T_ee0f7_row128_col2\" class=\"data row128 col2\" >$ 1497954.76</td>\n",
+       "                        <td id=\"T_ee0f7_row128_col3\" class=\"data row128 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row128_col4\" class=\"data row128 col4\" >80.42º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row129\" class=\"row_heading level0 row129\" >129</th>\n",
-       "                        <td id=\"T_b3bcd_row129_col0\" class=\"data row129 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row129_col1\" class=\"data row129 col1\" >27/07/12</td>\n",
-       "                        <td id=\"T_b3bcd_row129_col2\" class=\"data row129 col2\" >$ 1439123.71</td>\n",
-       "                        <td id=\"T_b3bcd_row129_col3\" class=\"data row129 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row129_col4\" class=\"data row129 col4\" >82.66º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row129\" class=\"row_heading level0 row129\" >129</th>\n",
+       "                        <td id=\"T_ee0f7_row129_col0\" class=\"data row129 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row129_col1\" class=\"data row129 col1\" >27/07/12</td>\n",
+       "                        <td id=\"T_ee0f7_row129_col2\" class=\"data row129 col2\" >$ 1439123.71</td>\n",
+       "                        <td id=\"T_ee0f7_row129_col3\" class=\"data row129 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row129_col4\" class=\"data row129 col4\" >82.66º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row130\" class=\"row_heading level0 row130\" >130</th>\n",
-       "                        <td id=\"T_b3bcd_row130_col0\" class=\"data row130 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row130_col1\" class=\"data row130 col1\" >08/03/12</td>\n",
-       "                        <td id=\"T_b3bcd_row130_col2\" class=\"data row130 col2\" >$ 1631135.79</td>\n",
-       "                        <td id=\"T_b3bcd_row130_col3\" class=\"data row130 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row130_col4\" class=\"data row130 col4\" >86.11º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row130\" class=\"row_heading level0 row130\" >130</th>\n",
+       "                        <td id=\"T_ee0f7_row130_col0\" class=\"data row130 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row130_col1\" class=\"data row130 col1\" >08/03/12</td>\n",
+       "                        <td id=\"T_ee0f7_row130_col2\" class=\"data row130 col2\" >$ 1631135.79</td>\n",
+       "                        <td id=\"T_ee0f7_row130_col3\" class=\"data row130 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row130_col4\" class=\"data row130 col4\" >86.11º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row131\" class=\"row_heading level0 row131\" >131</th>\n",
-       "                        <td id=\"T_b3bcd_row131_col0\" class=\"data row131 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row131_col1\" class=\"data row131 col1\" >08/10/12</td>\n",
-       "                        <td id=\"T_b3bcd_row131_col2\" class=\"data row131 col2\" >$ 1592409.97</td>\n",
-       "                        <td id=\"T_b3bcd_row131_col3\" class=\"data row131 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row131_col4\" class=\"data row131 col4\" >85.05º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row131\" class=\"row_heading level0 row131\" >131</th>\n",
+       "                        <td id=\"T_ee0f7_row131_col0\" class=\"data row131 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row131_col1\" class=\"data row131 col1\" >08/10/12</td>\n",
+       "                        <td id=\"T_ee0f7_row131_col2\" class=\"data row131 col2\" >$ 1592409.97</td>\n",
+       "                        <td id=\"T_ee0f7_row131_col3\" class=\"data row131 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row131_col4\" class=\"data row131 col4\" >85.05º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row132\" class=\"row_heading level0 row132\" >132</th>\n",
-       "                        <td id=\"T_b3bcd_row132_col0\" class=\"data row132 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row132_col1\" class=\"data row132 col1\" >17/08/12</td>\n",
-       "                        <td id=\"T_b3bcd_row132_col2\" class=\"data row132 col2\" >$ 1597868.05</td>\n",
-       "                        <td id=\"T_b3bcd_row132_col3\" class=\"data row132 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row132_col4\" class=\"data row132 col4\" >84.85º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row132\" class=\"row_heading level0 row132\" >132</th>\n",
+       "                        <td id=\"T_ee0f7_row132_col0\" class=\"data row132 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row132_col1\" class=\"data row132 col1\" >17/08/12</td>\n",
+       "                        <td id=\"T_ee0f7_row132_col2\" class=\"data row132 col2\" >$ 1597868.05</td>\n",
+       "                        <td id=\"T_ee0f7_row132_col3\" class=\"data row132 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row132_col4\" class=\"data row132 col4\" >84.85º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row133\" class=\"row_heading level0 row133\" >133</th>\n",
-       "                        <td id=\"T_b3bcd_row133_col0\" class=\"data row133 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row133_col1\" class=\"data row133 col1\" >24/08/12</td>\n",
-       "                        <td id=\"T_b3bcd_row133_col2\" class=\"data row133 col2\" >$ 1494122.38</td>\n",
-       "                        <td id=\"T_b3bcd_row133_col3\" class=\"data row133 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row133_col4\" class=\"data row133 col4\" >77.66º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row133\" class=\"row_heading level0 row133\" >133</th>\n",
+       "                        <td id=\"T_ee0f7_row133_col0\" class=\"data row133 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row133_col1\" class=\"data row133 col1\" >24/08/12</td>\n",
+       "                        <td id=\"T_ee0f7_row133_col2\" class=\"data row133 col2\" >$ 1494122.38</td>\n",
+       "                        <td id=\"T_ee0f7_row133_col3\" class=\"data row133 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row133_col4\" class=\"data row133 col4\" >77.66º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row134\" class=\"row_heading level0 row134\" >134</th>\n",
-       "                        <td id=\"T_b3bcd_row134_col0\" class=\"data row134 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row134_col1\" class=\"data row134 col1\" >31/08/12</td>\n",
-       "                        <td id=\"T_b3bcd_row134_col2\" class=\"data row134 col2\" >$ 1582083.40</td>\n",
-       "                        <td id=\"T_b3bcd_row134_col3\" class=\"data row134 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row134_col4\" class=\"data row134 col4\" >80.49º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row134\" class=\"row_heading level0 row134\" >134</th>\n",
+       "                        <td id=\"T_ee0f7_row134_col0\" class=\"data row134 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row134_col1\" class=\"data row134 col1\" >31/08/12</td>\n",
+       "                        <td id=\"T_ee0f7_row134_col2\" class=\"data row134 col2\" >$ 1582083.40</td>\n",
+       "                        <td id=\"T_ee0f7_row134_col3\" class=\"data row134 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row134_col4\" class=\"data row134 col4\" >80.49º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row135\" class=\"row_heading level0 row135\" >135</th>\n",
-       "                        <td id=\"T_b3bcd_row135_col0\" class=\"data row135 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row135_col1\" class=\"data row135 col1\" >09/07/12</td>\n",
-       "                        <td id=\"T_b3bcd_row135_col2\" class=\"data row135 col2\" >$ 1661767.33</td>\n",
-       "                        <td id=\"T_b3bcd_row135_col3\" class=\"data row135 col3\" >True</td>\n",
-       "                        <td id=\"T_b3bcd_row135_col4\" class=\"data row135 col4\" >83.96º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row135\" class=\"row_heading level0 row135\" >135</th>\n",
+       "                        <td id=\"T_ee0f7_row135_col0\" class=\"data row135 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row135_col1\" class=\"data row135 col1\" >09/07/12</td>\n",
+       "                        <td id=\"T_ee0f7_row135_col2\" class=\"data row135 col2\" >$ 1661767.33</td>\n",
+       "                        <td id=\"T_ee0f7_row135_col3\" class=\"data row135 col3\" >True</td>\n",
+       "                        <td id=\"T_ee0f7_row135_col4\" class=\"data row135 col4\" >83.96º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row136\" class=\"row_heading level0 row136\" >136</th>\n",
-       "                        <td id=\"T_b3bcd_row136_col0\" class=\"data row136 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row136_col1\" class=\"data row136 col1\" >14/09/12</td>\n",
-       "                        <td id=\"T_b3bcd_row136_col2\" class=\"data row136 col2\" >$ 1517428.87</td>\n",
-       "                        <td id=\"T_b3bcd_row136_col3\" class=\"data row136 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row136_col4\" class=\"data row136 col4\" >74.97º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row136\" class=\"row_heading level0 row136\" >136</th>\n",
+       "                        <td id=\"T_ee0f7_row136_col0\" class=\"data row136 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row136_col1\" class=\"data row136 col1\" >14/09/12</td>\n",
+       "                        <td id=\"T_ee0f7_row136_col2\" class=\"data row136 col2\" >$ 1517428.87</td>\n",
+       "                        <td id=\"T_ee0f7_row136_col3\" class=\"data row136 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row136_col4\" class=\"data row136 col4\" >74.97º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row137\" class=\"row_heading level0 row137\" >137</th>\n",
-       "                        <td id=\"T_b3bcd_row137_col0\" class=\"data row137 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row137_col1\" class=\"data row137 col1\" >21/09/12</td>\n",
-       "                        <td id=\"T_b3bcd_row137_col2\" class=\"data row137 col2\" >$ 1506126.06</td>\n",
-       "                        <td id=\"T_b3bcd_row137_col3\" class=\"data row137 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row137_col4\" class=\"data row137 col4\" >69.87º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row137\" class=\"row_heading level0 row137\" >137</th>\n",
+       "                        <td id=\"T_ee0f7_row137_col0\" class=\"data row137 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row137_col1\" class=\"data row137 col1\" >21/09/12</td>\n",
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+       "                        <td id=\"T_ee0f7_row137_col3\" class=\"data row137 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row137_col4\" class=\"data row137 col4\" >69.87º</td>\n",
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        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row138\" class=\"row_heading level0 row138\" >138</th>\n",
-       "                        <td id=\"T_b3bcd_row138_col0\" class=\"data row138 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row138_col1\" class=\"data row138 col1\" >28/09/12</td>\n",
-       "                        <td id=\"T_b3bcd_row138_col2\" class=\"data row138 col2\" >$ 1437059.26</td>\n",
-       "                        <td id=\"T_b3bcd_row138_col3\" class=\"data row138 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row138_col4\" class=\"data row138 col4\" >76.08º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row138\" class=\"row_heading level0 row138\" >138</th>\n",
+       "                        <td id=\"T_ee0f7_row138_col0\" class=\"data row138 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row138_col1\" class=\"data row138 col1\" >28/09/12</td>\n",
+       "                        <td id=\"T_ee0f7_row138_col2\" class=\"data row138 col2\" >$ 1437059.26</td>\n",
+       "                        <td id=\"T_ee0f7_row138_col3\" class=\"data row138 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row138_col4\" class=\"data row138 col4\" >76.08º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row139\" class=\"row_heading level0 row139\" >139</th>\n",
-       "                        <td id=\"T_b3bcd_row139_col0\" class=\"data row139 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row139_col1\" class=\"data row139 col1\" >10/05/12</td>\n",
-       "                        <td id=\"T_b3bcd_row139_col2\" class=\"data row139 col2\" >$ 1670785.97</td>\n",
-       "                        <td id=\"T_b3bcd_row139_col3\" class=\"data row139 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row139_col4\" class=\"data row139 col4\" >68.55º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row139\" class=\"row_heading level0 row139\" >139</th>\n",
+       "                        <td id=\"T_ee0f7_row139_col0\" class=\"data row139 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row139_col1\" class=\"data row139 col1\" >10/05/12</td>\n",
+       "                        <td id=\"T_ee0f7_row139_col2\" class=\"data row139 col2\" >$ 1670785.97</td>\n",
+       "                        <td id=\"T_ee0f7_row139_col3\" class=\"data row139 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row139_col4\" class=\"data row139 col4\" >68.55º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row140\" class=\"row_heading level0 row140\" >140</th>\n",
-       "                        <td id=\"T_b3bcd_row140_col0\" class=\"data row140 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row140_col1\" class=\"data row140 col1\" >10/12/12</td>\n",
-       "                        <td id=\"T_b3bcd_row140_col2\" class=\"data row140 col2\" >$ 1573072.81</td>\n",
-       "                        <td id=\"T_b3bcd_row140_col3\" class=\"data row140 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row140_col4\" class=\"data row140 col4\" >62.99º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row140\" class=\"row_heading level0 row140\" >140</th>\n",
+       "                        <td id=\"T_ee0f7_row140_col0\" class=\"data row140 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row140_col1\" class=\"data row140 col1\" >10/12/12</td>\n",
+       "                        <td id=\"T_ee0f7_row140_col2\" class=\"data row140 col2\" >$ 1573072.81</td>\n",
+       "                        <td id=\"T_ee0f7_row140_col3\" class=\"data row140 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row140_col4\" class=\"data row140 col4\" >62.99º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row141\" class=\"row_heading level0 row141\" >141</th>\n",
-       "                        <td id=\"T_b3bcd_row141_col0\" class=\"data row141 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row141_col1\" class=\"data row141 col1\" >19/10/12</td>\n",
-       "                        <td id=\"T_b3bcd_row141_col2\" class=\"data row141 col2\" >$ 1508068.77</td>\n",
-       "                        <td id=\"T_b3bcd_row141_col3\" class=\"data row141 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row141_col4\" class=\"data row141 col4\" >67.97º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row141\" class=\"row_heading level0 row141\" >141</th>\n",
+       "                        <td id=\"T_ee0f7_row141_col0\" class=\"data row141 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row141_col1\" class=\"data row141 col1\" >19/10/12</td>\n",
+       "                        <td id=\"T_ee0f7_row141_col2\" class=\"data row141 col2\" >$ 1508068.77</td>\n",
+       "                        <td id=\"T_ee0f7_row141_col3\" class=\"data row141 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row141_col4\" class=\"data row141 col4\" >67.97º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                        <th id=\"T_b3bcd_level0_row142\" class=\"row_heading level0 row142\" >142</th>\n",
-       "                        <td id=\"T_b3bcd_row142_col0\" class=\"data row142 col0\" >1</td>\n",
-       "                        <td id=\"T_b3bcd_row142_col1\" class=\"data row142 col1\" >26/10/12</td>\n",
-       "                        <td id=\"T_b3bcd_row142_col2\" class=\"data row142 col2\" >$ 1493659.74</td>\n",
-       "                        <td id=\"T_b3bcd_row142_col3\" class=\"data row142 col3\" >False</td>\n",
-       "                        <td id=\"T_b3bcd_row142_col4\" class=\"data row142 col4\" >69.16º</td>\n",
+       "                        <th id=\"T_ee0f7_level0_row142\" class=\"row_heading level0 row142\" >142</th>\n",
+       "                        <td id=\"T_ee0f7_row142_col0\" class=\"data row142 col0\" >1</td>\n",
+       "                        <td id=\"T_ee0f7_row142_col1\" class=\"data row142 col1\" >26/10/12</td>\n",
+       "                        <td id=\"T_ee0f7_row142_col2\" class=\"data row142 col2\" >$ 1493659.74</td>\n",
+       "                        <td id=\"T_ee0f7_row142_col3\" class=\"data row142 col3\" >False</td>\n",
+       "                        <td id=\"T_ee0f7_row142_col4\" class=\"data row142 col4\" >69.16º</td>\n",
        "            </tr>\n",
        "    </tbody></table>"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x7f3b0be7ca60>"
+       "<pandas.io.formats.style.Styler at 0x7f98af20c400>"
       ]
      },
-     "execution_count": 83,
+     "execution_count": 86,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -9254,7 +10208,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 87,
    "id": "333783d5",
    "metadata": {},
    "outputs": [
@@ -9262,1740 +10216,1740 @@
      "data": {
       "text/html": [
        "<style  type=\"text/css\" >\n",
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        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 73.1%, transparent 73.1%);\n",
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        "            background-color:  #b7e2b1;\n",
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        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 71.8%, transparent 71.8%);\n",
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        "            background-color:  #e7f6e2;\n",
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        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 81.5%, transparent 81.5%);\n",
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        "            color:  #000000;\n",
-       "        }#T_c1bb2_row6_col4{\n",
+       "        }#T_3ad6f_row6_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 79.8%, transparent 79.8%);\n",
-       "        }#T_c1bb2_row7_col2,#T_c1bb2_row15_col2,#T_c1bb2_row76_col2{\n",
+       "        }#T_3ad6f_row7_col2,#T_3ad6f_row15_col2,#T_3ad6f_row76_col2{\n",
        "            background-color:  #ecf8e8;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row7_col4{\n",
+       "        }#T_3ad6f_row7_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 78.1%, transparent 78.1%);\n",
-       "        }#T_c1bb2_row8_col2,#T_c1bb2_row92_col2,#T_c1bb2_row119_col2{\n",
+       "        }#T_3ad6f_row8_col2,#T_3ad6f_row92_col2,#T_3ad6f_row119_col2{\n",
        "            background-color:  #c4e8bd;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row8_col4,#T_c1bb2_row93_col4{\n",
+       "        }#T_3ad6f_row8_col4,#T_3ad6f_row93_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 84.0%, transparent 84.0%);\n",
-       "        }#T_c1bb2_row9_col2,#T_c1bb2_row22_col2{\n",
+       "        }#T_3ad6f_row9_col2,#T_3ad6f_row22_col2{\n",
        "            background-color:  #d0edca;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row9_col4{\n",
+       "        }#T_3ad6f_row9_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 85.9%, transparent 85.9%);\n",
-       "        }#T_c1bb2_row10_col2,#T_c1bb2_row68_col2,#T_c1bb2_row81_col2{\n",
+       "        }#T_3ad6f_row10_col2,#T_3ad6f_row68_col2,#T_3ad6f_row81_col2{\n",
        "            background-color:  #e2f4dd;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row10_col4{\n",
+       "        }#T_3ad6f_row10_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 86.2%, transparent 86.2%);\n",
-       "        }#T_c1bb2_row11_col2,#T_c1bb2_row49_col2{\n",
+       "        }#T_3ad6f_row11_col2,#T_3ad6f_row49_col2{\n",
        "            background-color:  #edf8ea;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row11_col4{\n",
+       "        }#T_3ad6f_row11_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 85.4%, transparent 85.4%);\n",
-       "        }#T_c1bb2_row12_col2,#T_c1bb2_row20_col2{\n",
+       "        }#T_3ad6f_row12_col2,#T_3ad6f_row20_col2{\n",
        "            background-color:  #e9f7e5;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row12_col4{\n",
+       "        }#T_3ad6f_row12_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 86.8%, transparent 86.8%);\n",
-       "        }#T_c1bb2_row13_col2,#T_c1bb2_row26_col2,#T_c1bb2_row66_col2{\n",
+       "        }#T_3ad6f_row13_col2,#T_3ad6f_row26_col2,#T_3ad6f_row66_col2{\n",
        "            background-color:  #c2e7bb;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row13_col4{\n",
+       "        }#T_3ad6f_row13_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 89.6%, transparent 89.6%);\n",
-       "        }#T_c1bb2_row14_col2,#T_c1bb2_row40_col2,#T_c1bb2_row60_col2,#T_c1bb2_row88_col2,#T_c1bb2_row133_col2,#T_c1bb2_row142_col2{\n",
+       "        }#T_3ad6f_row14_col2,#T_3ad6f_row40_col2,#T_3ad6f_row60_col2,#T_3ad6f_row88_col2,#T_3ad6f_row133_col2,#T_3ad6f_row142_col2{\n",
        "            background-color:  #dbf1d6;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row14_col4{\n",
+       "        }#T_3ad6f_row14_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 90.8%, transparent 90.8%);\n",
-       "        }#T_c1bb2_row15_col4{\n",
+       "        }#T_3ad6f_row15_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 91.7%, transparent 91.7%);\n",
-       "        }#T_c1bb2_row16_col2,#T_c1bb2_row32_col2{\n",
+       "        }#T_3ad6f_row16_col2,#T_3ad6f_row32_col2{\n",
        "            background-color:  #e8f6e3;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row16_col4,#T_c1bb2_row18_col4,#T_c1bb2_row22_col4,#T_c1bb2_row128_col4,#T_c1bb2_row134_col4{\n",
+       "        }#T_3ad6f_row16_col4,#T_3ad6f_row18_col4,#T_3ad6f_row22_col4,#T_3ad6f_row128_col4,#T_3ad6f_row134_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 93.9%, transparent 93.9%);\n",
-       "        }#T_c1bb2_row17_col2,#T_c1bb2_row61_col2{\n",
+       "        }#T_3ad6f_row17_col2,#T_3ad6f_row61_col2{\n",
        "            background-color:  #bee5b8;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row17_col4{\n",
+       "        }#T_3ad6f_row17_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 94.0%, transparent 94.0%);\n",
-       "        }#T_c1bb2_row18_col2,#T_c1bb2_row30_col2,#T_c1bb2_row59_col2,#T_c1bb2_row83_col2,#T_c1bb2_row93_col2,#T_c1bb2_row107_col2,#T_c1bb2_row125_col2{\n",
+       "        }#T_3ad6f_row18_col2,#T_3ad6f_row30_col2,#T_3ad6f_row59_col2,#T_3ad6f_row83_col2,#T_3ad6f_row93_col2,#T_3ad6f_row107_col2,#T_3ad6f_row125_col2{\n",
        "            background-color:  #d1edcb;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row19_col2,#T_c1bb2_row89_col2{\n",
+       "        }#T_3ad6f_row19_col2,#T_3ad6f_row89_col2{\n",
        "            background-color:  #daf0d4;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row19_col4{\n",
+       "        }#T_3ad6f_row19_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 95.9%, transparent 95.9%);\n",
-       "        }#T_c1bb2_row20_col4{\n",
+       "        }#T_3ad6f_row20_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 96.0%, transparent 96.0%);\n",
-       "        }#T_c1bb2_row21_col2,#T_c1bb2_row73_col2{\n",
+       "        }#T_3ad6f_row21_col2,#T_3ad6f_row73_col2{\n",
        "            background-color:  #dcf2d7;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row21_col4{\n",
+       "        }#T_3ad6f_row21_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 94.1%, transparent 94.1%);\n",
-       "        }#T_c1bb2_row23_col2,#T_c1bb2_row29_col2{\n",
+       "        }#T_3ad6f_row23_col2,#T_3ad6f_row29_col2{\n",
        "            background-color:  #e5f5e1;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row23_col4,#T_c1bb2_row70_col4{\n",
+       "        }#T_3ad6f_row23_col4,#T_3ad6f_row70_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 95.4%, transparent 95.4%);\n",
-       "        }#T_c1bb2_row24_col2,#T_c1bb2_row38_col2{\n",
+       "        }#T_3ad6f_row24_col2,#T_3ad6f_row38_col2{\n",
        "            background-color:  #eef8ea;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row24_col4{\n",
+       "        }#T_3ad6f_row24_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 95.5%, transparent 95.5%);\n",
-       "        }#T_c1bb2_row25_col2{\n",
+       "        }#T_3ad6f_row25_col2{\n",
        "            background-color:  #f0f9ec;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row25_col4{\n",
+       "        }#T_3ad6f_row25_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 94.6%, transparent 94.6%);\n",
-       "        }#T_c1bb2_row26_col4{\n",
+       "        }#T_3ad6f_row26_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 97.6%, transparent 97.6%);\n",
-       "        }#T_c1bb2_row27_col2,#T_c1bb2_row31_col2,#T_c1bb2_row35_col2,#T_c1bb2_row137_col2,#T_c1bb2_row141_col2{\n",
+       "        }#T_3ad6f_row27_col2,#T_3ad6f_row31_col2,#T_3ad6f_row35_col2,#T_3ad6f_row137_col2,#T_3ad6f_row141_col2{\n",
        "            background-color:  #d9f0d3;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row27_col4{\n",
+       "        }#T_3ad6f_row27_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 97.5%, transparent 97.5%);\n",
-       "        }#T_c1bb2_row28_col2,#T_c1bb2_row111_col2{\n",
+       "        }#T_3ad6f_row28_col2,#T_3ad6f_row111_col2{\n",
        "            background-color:  #d8f0d2;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row28_col4{\n",
+       "        }#T_3ad6f_row28_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 97.3%, transparent 97.3%);\n",
-       "        }#T_c1bb2_row29_col4{\n",
+       "        }#T_3ad6f_row29_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 96.5%, transparent 96.5%);\n",
-       "        }#T_c1bb2_row30_col4{\n",
+       "        }#T_3ad6f_row30_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 94.3%, transparent 94.3%);\n",
-       "        }#T_c1bb2_row31_col4{\n",
+       "        }#T_3ad6f_row31_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 92.9%, transparent 92.9%);\n",
-       "        }#T_c1bb2_row32_col4{\n",
+       "        }#T_3ad6f_row32_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 94.8%, transparent 94.8%);\n",
-       "        }#T_c1bb2_row33_col2,#T_c1bb2_row77_col2{\n",
+       "        }#T_3ad6f_row33_col2,#T_3ad6f_row77_col2{\n",
        "            background-color:  #f2faf0;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row33_col4{\n",
+       "        }#T_3ad6f_row33_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 94.2%, transparent 94.2%);\n",
-       "        }#T_c1bb2_row34_col2{\n",
+       "        }#T_3ad6f_row34_col2{\n",
        "            background-color:  #e5f5e0;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row34_col4{\n",
+       "        }#T_3ad6f_row34_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 89.2%, transparent 89.2%);\n",
-       "        }#T_c1bb2_row35_col4{\n",
+       "        }#T_3ad6f_row35_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 84.9%, transparent 84.9%);\n",
-       "        }#T_c1bb2_row36_col2,#T_c1bb2_row101_col2{\n",
+       "        }#T_3ad6f_row36_col2,#T_3ad6f_row101_col2{\n",
        "            background-color:  #e3f4de;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row36_col4,#T_c1bb2_row116_col4{\n",
+       "        }#T_3ad6f_row36_col4,#T_3ad6f_row116_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 86.7%, transparent 86.7%);\n",
-       "        }#T_c1bb2_row37_col2{\n",
+       "        }#T_3ad6f_row37_col2{\n",
        "            background-color:  #f4fbf1;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row37_col4,#T_c1bb2_row137_col4{\n",
+       "        }#T_3ad6f_row37_col4,#T_3ad6f_row137_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 88.1%, transparent 88.1%);\n",
-       "        }#T_c1bb2_row38_col4{\n",
+       "        }#T_3ad6f_row38_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 88.0%, transparent 88.0%);\n",
-       "        }#T_c1bb2_row39_col4{\n",
+       "        }#T_3ad6f_row39_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 82.0%, transparent 82.0%);\n",
-       "        }#T_c1bb2_row40_col4,#T_c1bb2_row56_col4{\n",
+       "        }#T_3ad6f_row40_col4,#T_3ad6f_row56_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 82.5%, transparent 82.5%);\n",
-       "        }#T_c1bb2_row41_col2{\n",
+       "        }#T_3ad6f_row41_col2{\n",
        "            background-color:  #def2d9;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row41_col4{\n",
+       "        }#T_3ad6f_row41_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 78.0%, transparent 78.0%);\n",
-       "        }#T_c1bb2_row42_col2{\n",
+       "        }#T_3ad6f_row42_col2{\n",
        "            background-color:  #4db163;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row42_col4,#T_c1bb2_row65_col4{\n",
+       "        }#T_3ad6f_row42_col4,#T_3ad6f_row65_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 85.2%, transparent 85.2%);\n",
-       "        }#T_c1bb2_row43_col2,#T_c1bb2_row82_col2,#T_c1bb2_row100_col2{\n",
+       "        }#T_3ad6f_row43_col2,#T_3ad6f_row82_col2,#T_3ad6f_row100_col2{\n",
        "            background-color:  #cfecc9;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row43_col4{\n",
+       "        }#T_3ad6f_row43_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 76.9%, transparent 76.9%);\n",
-       "        }#T_c1bb2_row44_col2,#T_c1bb2_row117_col2{\n",
+       "        }#T_3ad6f_row44_col2,#T_3ad6f_row117_col2{\n",
        "            background-color:  #abdda5;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row44_col4{\n",
+       "        }#T_3ad6f_row44_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 75.3%, transparent 75.3%);\n",
-       "        }#T_c1bb2_row45_col2{\n",
+       "        }#T_3ad6f_row45_col2{\n",
        "            background-color:  #65bd6f;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row45_col4{\n",
+       "        }#T_3ad6f_row45_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 77.2%, transparent 77.2%);\n",
-       "        }#T_c1bb2_row46_col2{\n",
+       "        }#T_3ad6f_row46_col2{\n",
        "            background-color:  #00441b;\n",
        "            color:  #f1f1f1;\n",
-       "        }#T_c1bb2_row46_col4{\n",
+       "        }#T_3ad6f_row46_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 78.5%, transparent 78.5%);\n",
-       "        }#T_c1bb2_row47_col2{\n",
+       "        }#T_3ad6f_row47_col2{\n",
        "            background-color:  #f0f9ed;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row47_col4{\n",
+       "        }#T_3ad6f_row47_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 76.4%, transparent 76.4%);\n",
-       "        }#T_c1bb2_row48_col2,#T_c1bb2_row90_col2{\n",
+       "        }#T_3ad6f_row48_col2,#T_3ad6f_row90_col2{\n",
        "            background-color:  #e6f5e1;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row48_col4{\n",
+       "        }#T_3ad6f_row48_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 76.3%, transparent 76.3%);\n",
-       "        }#T_c1bb2_row49_col4{\n",
+       "        }#T_3ad6f_row49_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 69.3%, transparent 69.3%);\n",
-       "        }#T_c1bb2_row50_col2{\n",
+       "        }#T_3ad6f_row50_col2{\n",
        "            background-color:  #f6fcf4;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row50_col4,#T_c1bb2_row96_col4{\n",
+       "        }#T_3ad6f_row50_col4,#T_3ad6f_row96_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 74.0%, transparent 74.0%);\n",
-       "        }#T_c1bb2_row51_col2,#T_c1bb2_row103_col2{\n",
+       "        }#T_3ad6f_row51_col2,#T_3ad6f_row103_col2{\n",
        "            background-color:  #f7fcf5;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row51_col4{\n",
+       "        }#T_3ad6f_row51_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 73.9%, transparent 73.9%);\n",
-       "        }#T_c1bb2_row52_col2{\n",
+       "        }#T_3ad6f_row52_col2{\n",
        "            background-color:  #c1e6ba;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row53_col2,#T_c1bb2_row112_col2{\n",
+       "        }#T_3ad6f_row53_col2,#T_3ad6f_row112_col2{\n",
        "            background-color:  #b5e1ae;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row53_col4{\n",
+       "        }#T_3ad6f_row53_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 69.9%, transparent 69.9%);\n",
-       "        }#T_c1bb2_row54_col2,#T_c1bb2_row108_col2{\n",
+       "        }#T_3ad6f_row54_col2,#T_3ad6f_row108_col2{\n",
        "            background-color:  #aadda4;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row54_col4{\n",
+       "        }#T_3ad6f_row54_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 81.3%, transparent 81.3%);\n",
-       "        }#T_c1bb2_row55_col2,#T_c1bb2_row64_col2,#T_c1bb2_row75_col2{\n",
+       "        }#T_3ad6f_row55_col2,#T_3ad6f_row64_col2,#T_3ad6f_row75_col2{\n",
        "            background-color:  #e4f5df;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row55_col4{\n",
+       "        }#T_3ad6f_row55_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 84.3%, transparent 84.3%);\n",
-       "        }#T_c1bb2_row56_col2,#T_c1bb2_row69_col2,#T_c1bb2_row104_col2{\n",
+       "        }#T_3ad6f_row56_col2,#T_3ad6f_row69_col2,#T_3ad6f_row104_col2{\n",
        "            background-color:  #b8e3b2;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row57_col4{\n",
+       "        }#T_3ad6f_row57_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 79.2%, transparent 79.2%);\n",
-       "        }#T_c1bb2_row58_col2{\n",
+       "        }#T_3ad6f_row58_col2{\n",
        "            background-color:  #c9eac2;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row58_col4{\n",
+       "        }#T_3ad6f_row58_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 84.2%, transparent 84.2%);\n",
-       "        }#T_c1bb2_row59_col4{\n",
+       "        }#T_3ad6f_row59_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 88.2%, transparent 88.2%);\n",
-       "        }#T_c1bb2_row60_col4{\n",
+       "        }#T_3ad6f_row60_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 82.3%, transparent 82.3%);\n",
-       "        }#T_c1bb2_row61_col4{\n",
+       "        }#T_3ad6f_row61_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 87.0%, transparent 87.0%);\n",
-       "        }#T_c1bb2_row62_col2{\n",
+       "        }#T_3ad6f_row62_col2{\n",
        "            background-color:  #ccebc6;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row62_col4{\n",
+       "        }#T_3ad6f_row62_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 88.9%, transparent 88.9%);\n",
-       "        }#T_c1bb2_row63_col2{\n",
+       "        }#T_3ad6f_row63_col2{\n",
        "            background-color:  #cbebc5;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row63_col4{\n",
+       "        }#T_3ad6f_row63_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 89.8%, transparent 89.8%);\n",
-       "        }#T_c1bb2_row64_col4{\n",
+       "        }#T_3ad6f_row64_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 89.3%, transparent 89.3%);\n",
-       "        }#T_c1bb2_row65_col2,#T_c1bb2_row123_col2{\n",
+       "        }#T_3ad6f_row65_col2,#T_3ad6f_row123_col2{\n",
        "            background-color:  #bbe4b4;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row66_col4{\n",
+       "        }#T_3ad6f_row66_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 91.3%, transparent 91.3%);\n",
-       "        }#T_c1bb2_row67_col2{\n",
+       "        }#T_3ad6f_row67_col2{\n",
        "            background-color:  #e8f6e4;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row67_col4,#T_c1bb2_row112_col4{\n",
+       "        }#T_3ad6f_row67_col4,#T_3ad6f_row112_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 86.9%, transparent 86.9%);\n",
-       "        }#T_c1bb2_row68_col4,#T_c1bb2_row133_col4{\n",
+       "        }#T_3ad6f_row68_col4,#T_3ad6f_row133_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 92.4%, transparent 92.4%);\n",
-       "        }#T_c1bb2_row69_col4{\n",
+       "        }#T_3ad6f_row69_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 95.3%, transparent 95.3%);\n",
-       "        }#T_c1bb2_row70_col2,#T_c1bb2_row131_col2{\n",
+       "        }#T_3ad6f_row70_col2,#T_3ad6f_row131_col2{\n",
        "            background-color:  #c6e8bf;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row71_col2,#T_c1bb2_row80_col2{\n",
+       "        }#T_3ad6f_row71_col2,#T_3ad6f_row80_col2{\n",
        "            background-color:  #d3eecd;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row71_col4{\n",
+       "        }#T_3ad6f_row71_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 97.1%, transparent 97.1%);\n",
-       "        }#T_c1bb2_row72_col4{\n",
+       "        }#T_3ad6f_row72_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 95.6%, transparent 95.6%);\n",
-       "        }#T_c1bb2_row73_col4{\n",
+       "        }#T_3ad6f_row73_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 96.7%, transparent 96.7%);\n",
-       "        }#T_c1bb2_row74_col2{\n",
+       "        }#T_3ad6f_row74_col2{\n",
        "            background-color:  #d2edcc;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row74_col4,#T_c1bb2_row76_col4{\n",
+       "        }#T_3ad6f_row74_col4,#T_3ad6f_row76_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 96.8%, transparent 96.8%);\n",
-       "        }#T_c1bb2_row75_col4{\n",
+       "        }#T_3ad6f_row75_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 98.3%, transparent 98.3%);\n",
-       "        }#T_c1bb2_row77_col4{\n",
+       "        }#T_3ad6f_row77_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 97.4%, transparent 97.4%);\n",
-       "        }#T_c1bb2_row78_col2,#T_c1bb2_row121_col2{\n",
+       "        }#T_3ad6f_row78_col2,#T_3ad6f_row121_col2{\n",
        "            background-color:  #bce4b5;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row78_col4{\n",
+       "        }#T_3ad6f_row78_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 100.0%, transparent 100.0%);\n",
-       "        }#T_c1bb2_row79_col2{\n",
+       "        }#T_3ad6f_row79_col2{\n",
        "            background-color:  #d5efcf;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row79_col4{\n",
+       "        }#T_3ad6f_row79_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 99.5%, transparent 99.5%);\n",
-       "        }#T_c1bb2_row80_col4{\n",
+       "        }#T_3ad6f_row80_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 99.1%, transparent 99.1%);\n",
-       "        }#T_c1bb2_row81_col4{\n",
+       "        }#T_3ad6f_row81_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 98.0%, transparent 98.0%);\n",
-       "        }#T_c1bb2_row82_col4{\n",
+       "        }#T_3ad6f_row82_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 97.9%, transparent 97.9%);\n",
-       "        }#T_c1bb2_row83_col4,#T_c1bb2_row138_col4{\n",
+       "        }#T_3ad6f_row83_col4,#T_3ad6f_row138_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 91.5%, transparent 91.5%);\n",
-       "        }#T_c1bb2_row84_col2,#T_c1bb2_row136_col2{\n",
+       "        }#T_3ad6f_row84_col2,#T_3ad6f_row136_col2{\n",
        "            background-color:  #d7efd1;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row84_col4{\n",
+       "        }#T_3ad6f_row84_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 93.6%, transparent 93.6%);\n",
-       "        }#T_c1bb2_row85_col2{\n",
+       "        }#T_3ad6f_row85_col2{\n",
        "            background-color:  #eff9eb;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row85_col4{\n",
+       "        }#T_3ad6f_row85_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 91.4%, transparent 91.4%);\n",
-       "        }#T_c1bb2_row86_col2,#T_c1bb2_row102_col2{\n",
+       "        }#T_3ad6f_row86_col2,#T_3ad6f_row102_col2{\n",
        "            background-color:  #edf8e9;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row86_col4{\n",
+       "        }#T_3ad6f_row86_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 93.5%, transparent 93.5%);\n",
-       "        }#T_c1bb2_row87_col2,#T_c1bb2_row130_col2{\n",
+       "        }#T_3ad6f_row87_col2,#T_3ad6f_row130_col2{\n",
        "            background-color:  #bae3b3;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row87_col4{\n",
+       "        }#T_3ad6f_row87_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 87.8%, transparent 87.8%);\n",
-       "        }#T_c1bb2_row88_col4{\n",
+       "        }#T_3ad6f_row88_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 89.1%, transparent 89.1%);\n",
-       "        }#T_c1bb2_row89_col4{\n",
+       "        }#T_3ad6f_row89_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 84.8%, transparent 84.8%);\n",
-       "        }#T_c1bb2_row90_col4{\n",
+       "        }#T_3ad6f_row90_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 86.3%, transparent 86.3%);\n",
-       "        }#T_c1bb2_row91_col2,#T_c1bb2_row122_col2{\n",
+       "        }#T_3ad6f_row91_col2,#T_3ad6f_row122_col2{\n",
        "            background-color:  #a8dca2;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row91_col4{\n",
+       "        }#T_3ad6f_row91_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 80.0%, transparent 80.0%);\n",
-       "        }#T_c1bb2_row92_col4{\n",
+       "        }#T_3ad6f_row92_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 82.2%, transparent 82.2%);\n",
-       "        }#T_c1bb2_row94_col2{\n",
+       "        }#T_3ad6f_row94_col2{\n",
        "            background-color:  #369f54;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row94_col4{\n",
+       "        }#T_3ad6f_row94_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 82.8%, transparent 82.8%);\n",
-       "        }#T_c1bb2_row95_col2,#T_c1bb2_row134_col2{\n",
+       "        }#T_3ad6f_row95_col2,#T_3ad6f_row134_col2{\n",
        "            background-color:  #c8e9c1;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row95_col4,#T_c1bb2_row100_col4{\n",
+       "        }#T_3ad6f_row95_col4,#T_3ad6f_row100_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 76.7%, transparent 76.7%);\n",
-       "        }#T_c1bb2_row96_col2{\n",
+       "        }#T_3ad6f_row96_col2{\n",
        "            background-color:  #86cc85;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row97_col2{\n",
+       "        }#T_3ad6f_row97_col2{\n",
        "            background-color:  #6abf71;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row97_col4{\n",
+       "        }#T_3ad6f_row97_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 78.2%, transparent 78.2%);\n",
-       "        }#T_c1bb2_row98_col2{\n",
+       "        }#T_3ad6f_row98_col2{\n",
        "            background-color:  #00682a;\n",
        "            color:  #f1f1f1;\n",
-       "        }#T_c1bb2_row98_col4,#T_c1bb2_row105_col4{\n",
+       "        }#T_3ad6f_row98_col4,#T_3ad6f_row105_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 76.2%, transparent 76.2%);\n",
-       "        }#T_c1bb2_row99_col2,#T_c1bb2_row128_col2{\n",
+       "        }#T_3ad6f_row99_col2,#T_3ad6f_row128_col2{\n",
        "            background-color:  #dbf1d5;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row99_col4{\n",
+       "        }#T_3ad6f_row99_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 74.3%, transparent 74.3%);\n",
-       "        }#T_c1bb2_row101_col4{\n",
+       "        }#T_3ad6f_row101_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 76.5%, transparent 76.5%);\n",
-       "        }#T_c1bb2_row102_col4{\n",
+       "        }#T_3ad6f_row102_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 79.5%, transparent 79.5%);\n",
-       "        }#T_c1bb2_row103_col4{\n",
+       "        }#T_3ad6f_row103_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 79.6%, transparent 79.6%);\n",
-       "        }#T_c1bb2_row104_col4{\n",
+       "        }#T_3ad6f_row104_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 80.9%, transparent 80.9%);\n",
-       "        }#T_c1bb2_row105_col2{\n",
+       "        }#T_3ad6f_row105_col2{\n",
        "            background-color:  #84cc83;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row106_col2{\n",
+       "        }#T_3ad6f_row106_col2{\n",
        "            background-color:  #7fc97f;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row106_col4{\n",
+       "        }#T_3ad6f_row106_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 74.7%, transparent 74.7%);\n",
-       "        }#T_c1bb2_row107_col4{\n",
+       "        }#T_3ad6f_row107_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 81.2%, transparent 81.2%);\n",
-       "        }#T_c1bb2_row108_col4{\n",
+       "        }#T_3ad6f_row108_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 83.3%, transparent 83.3%);\n",
-       "        }#T_c1bb2_row109_col2{\n",
+       "        }#T_3ad6f_row109_col2{\n",
        "            background-color:  #aedea7;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row109_col4{\n",
+       "        }#T_3ad6f_row109_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 82.1%, transparent 82.1%);\n",
-       "        }#T_c1bb2_row110_col2{\n",
+       "        }#T_3ad6f_row110_col2{\n",
        "            background-color:  #acdea6;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row110_col4{\n",
+       "        }#T_3ad6f_row110_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 85.3%, transparent 85.3%);\n",
-       "        }#T_c1bb2_row111_col4{\n",
+       "        }#T_3ad6f_row111_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 86.0%, transparent 86.0%);\n",
-       "        }#T_c1bb2_row113_col2{\n",
+       "        }#T_3ad6f_row113_col2{\n",
        "            background-color:  #62bb6d;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row113_col4,#T_c1bb2_row119_col4{\n",
+       "        }#T_3ad6f_row113_col4,#T_3ad6f_row119_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 88.4%, transparent 88.4%);\n",
-       "        }#T_c1bb2_row114_col2{\n",
+       "        }#T_3ad6f_row114_col2{\n",
        "            background-color:  #bde5b6;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row114_col4,#T_c1bb2_row142_col4{\n",
+       "        }#T_3ad6f_row114_col4,#T_3ad6f_row142_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 87.7%, transparent 87.7%);\n",
-       "        }#T_c1bb2_row115_col2{\n",
+       "        }#T_3ad6f_row115_col2{\n",
        "            background-color:  #d6efd0;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row115_col4{\n",
+       "        }#T_3ad6f_row115_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 86.4%, transparent 86.4%);\n",
-       "        }#T_c1bb2_row116_col2{\n",
+       "        }#T_3ad6f_row116_col2{\n",
        "            background-color:  #e1f3dc;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row117_col4{\n",
+       "        }#T_3ad6f_row117_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 91.2%, transparent 91.2%);\n",
-       "        }#T_c1bb2_row118_col4{\n",
+       "        }#T_3ad6f_row118_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 90.2%, transparent 90.2%);\n",
-       "        }#T_c1bb2_row120_col2{\n",
+       "        }#T_3ad6f_row120_col2{\n",
        "            background-color:  #cdecc7;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row120_col4,#T_c1bb2_row127_col4{\n",
+       "        }#T_3ad6f_row120_col4,#T_3ad6f_row127_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 92.1%, transparent 92.1%);\n",
-       "        }#T_c1bb2_row121_col4{\n",
+       "        }#T_3ad6f_row121_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 92.5%, transparent 92.5%);\n",
-       "        }#T_c1bb2_row122_col4{\n",
+       "        }#T_3ad6f_row122_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 92.7%, transparent 92.7%);\n",
-       "        }#T_c1bb2_row123_col4{\n",
+       "        }#T_3ad6f_row123_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 93.3%, transparent 93.3%);\n",
-       "        }#T_c1bb2_row124_col2,#T_c1bb2_row127_col2{\n",
+       "        }#T_3ad6f_row124_col2,#T_3ad6f_row127_col2{\n",
        "            background-color:  #d4eece;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row124_col4{\n",
+       "        }#T_3ad6f_row124_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 92.8%, transparent 92.8%);\n",
-       "        }#T_c1bb2_row125_col4,#T_c1bb2_row132_col4{\n",
+       "        }#T_3ad6f_row125_col4,#T_3ad6f_row132_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 96.3%, transparent 96.3%);\n",
-       "        }#T_c1bb2_row126_col2{\n",
+       "        }#T_3ad6f_row126_col2{\n",
        "            background-color:  #90d18d;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row126_col4{\n",
+       "        }#T_3ad6f_row126_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 94.5%, transparent 94.5%);\n",
-       "        }#T_c1bb2_row129_col4{\n",
+       "        }#T_3ad6f_row129_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 95.1%, transparent 95.1%);\n",
-       "        }#T_c1bb2_row130_col4{\n",
+       "        }#T_3ad6f_row130_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 97.0%, transparent 97.0%);\n",
-       "        }#T_c1bb2_row131_col4{\n",
+       "        }#T_3ad6f_row131_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 96.4%, transparent 96.4%);\n",
-       "        }#T_c1bb2_row132_col2{\n",
+       "        }#T_3ad6f_row132_col2{\n",
        "            background-color:  #c3e7bc;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row135_col2{\n",
+       "        }#T_3ad6f_row135_col2{\n",
        "            background-color:  #b1e0ab;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row135_col4{\n",
+       "        }#T_3ad6f_row135_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 95.8%, transparent 95.8%);\n",
-       "        }#T_c1bb2_row136_col4{\n",
+       "        }#T_3ad6f_row136_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 90.9%, transparent 90.9%);\n",
-       "        }#T_c1bb2_row138_col2{\n",
+       "        }#T_3ad6f_row138_col2{\n",
        "            background-color:  #e7f6e3;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row139_col2{\n",
+       "        }#T_3ad6f_row139_col2{\n",
        "            background-color:  #afdfa8;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row139_col4{\n",
+       "        }#T_3ad6f_row139_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 87.4%, transparent 87.4%);\n",
-       "        }#T_c1bb2_row140_col2{\n",
+       "        }#T_3ad6f_row140_col2{\n",
        "            background-color:  #caeac3;\n",
        "            color:  #000000;\n",
-       "        }#T_c1bb2_row140_col4{\n",
+       "        }#T_3ad6f_row140_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 84.4%, transparent 84.4%);\n",
-       "        }#T_c1bb2_row141_col4{\n",
+       "        }#T_3ad6f_row141_col4{\n",
        "            width:  10em;\n",
        "             height:  80%;\n",
        "            background:  linear-gradient(90deg, transparent 50.0%, lightblue 50.0%, lightblue 87.1%, transparent 87.1%);\n",
-       "        }</style><table id=\"T_c1bb2_\" ><caption>Vendas semanais das lojas do Walmart</caption><thead>    <tr>        <th class=\"col_heading level0 col0\" >loja</th>        <th class=\"col_heading level0 col1\" >data</th>        <th class=\"col_heading level0 col2\" >vendas_semanais</th>        <th class=\"col_heading level0 col3\" >feriado</th>        <th class=\"col_heading level0 col4\" >temperatura</th>    </tr></thead><tbody>\n",
+       "        }</style><table id=\"T_3ad6f_\" ><caption>Vendas semanais das lojas do Walmart</caption><thead>    <tr>        <th class=\"col_heading level0 col0\" >loja</th>        <th class=\"col_heading level0 col1\" >data</th>        <th class=\"col_heading level0 col2\" >vendas_semanais</th>        <th class=\"col_heading level0 col3\" >feriado</th>        <th class=\"col_heading level0 col4\" >temperatura</th>    </tr></thead><tbody>\n",
        "                <tr>\n",
-       "                                <td id=\"T_c1bb2_row0_col0\" class=\"data row0 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row0_col1\" class=\"data row0 col1\" >02/05/10</td>\n",
-       "                        <td id=\"T_c1bb2_row0_col2\" class=\"data row0 col2\" >$ 1643690.90</td>\n",
-       "                        <td id=\"T_c1bb2_row0_col3\" class=\"data row0 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row0_col4\" class=\"data row0 col4\" >42.31º</td>\n",
+       "                                <td id=\"T_3ad6f_row0_col0\" class=\"data row0 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row0_col1\" class=\"data row0 col1\" >02/05/10</td>\n",
+       "                        <td id=\"T_3ad6f_row0_col2\" class=\"data row0 col2\" >$ 1643690.90</td>\n",
+       "                        <td id=\"T_3ad6f_row0_col3\" class=\"data row0 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row0_col4\" class=\"data row0 col4\" >42.31º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row1_col0\" class=\"data row1 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row1_col1\" class=\"data row1 col1\" >02/12/10</td>\n",
-       "                        <td id=\"T_c1bb2_row1_col2\" class=\"data row1 col2\" >$ 1641957.44</td>\n",
-       "                        <td id=\"T_c1bb2_row1_col3\" class=\"data row1 col3\" >True</td>\n",
-       "                        <td id=\"T_c1bb2_row1_col4\" class=\"data row1 col4\" >38.51º</td>\n",
+       "                                <td id=\"T_3ad6f_row1_col0\" class=\"data row1 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row1_col1\" class=\"data row1 col1\" >02/12/10</td>\n",
+       "                        <td id=\"T_3ad6f_row1_col2\" class=\"data row1 col2\" >$ 1641957.44</td>\n",
+       "                        <td id=\"T_3ad6f_row1_col3\" class=\"data row1 col3\" >True</td>\n",
+       "                        <td id=\"T_3ad6f_row1_col4\" class=\"data row1 col4\" >38.51º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row2_col0\" class=\"data row2 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row2_col1\" class=\"data row2 col1\" >19/02/10</td>\n",
-       "                        <td id=\"T_c1bb2_row2_col2\" class=\"data row2 col2\" >$ 1611968.17</td>\n",
-       "                        <td id=\"T_c1bb2_row2_col3\" class=\"data row2 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row2_col4\" class=\"data row2 col4\" >39.93º</td>\n",
+       "                                <td id=\"T_3ad6f_row2_col0\" class=\"data row2 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row2_col1\" class=\"data row2 col1\" >19/02/10</td>\n",
+       "                        <td id=\"T_3ad6f_row2_col2\" class=\"data row2 col2\" >$ 1611968.17</td>\n",
+       "                        <td id=\"T_3ad6f_row2_col3\" class=\"data row2 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row2_col4\" class=\"data row2 col4\" >39.93º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row3_col0\" class=\"data row3 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row3_col1\" class=\"data row3 col1\" >26/02/10</td>\n",
-       "                        <td id=\"T_c1bb2_row3_col2\" class=\"data row3 col2\" >$ 1409727.59</td>\n",
-       "                        <td id=\"T_c1bb2_row3_col3\" class=\"data row3 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row3_col4\" class=\"data row3 col4\" >46.63º</td>\n",
+       "                                <td id=\"T_3ad6f_row3_col0\" class=\"data row3 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row3_col1\" class=\"data row3 col1\" >26/02/10</td>\n",
+       "                        <td id=\"T_3ad6f_row3_col2\" class=\"data row3 col2\" >$ 1409727.59</td>\n",
+       "                        <td id=\"T_3ad6f_row3_col3\" class=\"data row3 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row3_col4\" class=\"data row3 col4\" >46.63º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row4_col0\" class=\"data row4 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row4_col1\" class=\"data row4 col1\" >03/05/10</td>\n",
-       "                        <td id=\"T_c1bb2_row4_col2\" class=\"data row4 col2\" >$ 1554806.68</td>\n",
-       "                        <td id=\"T_c1bb2_row4_col3\" class=\"data row4 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row4_col4\" class=\"data row4 col4\" >46.50º</td>\n",
+       "                                <td id=\"T_3ad6f_row4_col0\" class=\"data row4 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row4_col1\" class=\"data row4 col1\" >03/05/10</td>\n",
+       "                        <td id=\"T_3ad6f_row4_col2\" class=\"data row4 col2\" >$ 1554806.68</td>\n",
+       "                        <td id=\"T_3ad6f_row4_col3\" class=\"data row4 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row4_col4\" class=\"data row4 col4\" >46.50º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row5_col0\" class=\"data row5 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row5_col1\" class=\"data row5 col1\" >03/12/10</td>\n",
-       "                        <td id=\"T_c1bb2_row5_col2\" class=\"data row5 col2\" >$ 1439541.59</td>\n",
-       "                        <td id=\"T_c1bb2_row5_col3\" class=\"data row5 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row5_col4\" class=\"data row5 col4\" >57.79º</td>\n",
+       "                                <td id=\"T_3ad6f_row5_col0\" class=\"data row5 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row5_col1\" class=\"data row5 col1\" >03/12/10</td>\n",
+       "                        <td id=\"T_3ad6f_row5_col2\" class=\"data row5 col2\" >$ 1439541.59</td>\n",
+       "                        <td id=\"T_3ad6f_row5_col3\" class=\"data row5 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row5_col4\" class=\"data row5 col4\" >57.79º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row6_col0\" class=\"data row6 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row6_col1\" class=\"data row6 col1\" >19/03/10</td>\n",
-       "                        <td id=\"T_c1bb2_row6_col2\" class=\"data row6 col2\" >$ 1472515.79</td>\n",
-       "                        <td id=\"T_c1bb2_row6_col3\" class=\"data row6 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row6_col4\" class=\"data row6 col4\" >54.58º</td>\n",
+       "                                <td id=\"T_3ad6f_row6_col0\" class=\"data row6 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row6_col1\" class=\"data row6 col1\" >19/03/10</td>\n",
+       "                        <td id=\"T_3ad6f_row6_col2\" class=\"data row6 col2\" >$ 1472515.79</td>\n",
+       "                        <td id=\"T_3ad6f_row6_col3\" class=\"data row6 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row6_col4\" class=\"data row6 col4\" >54.58º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row7_col0\" class=\"data row7 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row7_col1\" class=\"data row7 col1\" >26/03/10</td>\n",
-       "                        <td id=\"T_c1bb2_row7_col2\" class=\"data row7 col2\" >$ 1404429.92</td>\n",
-       "                        <td id=\"T_c1bb2_row7_col3\" class=\"data row7 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row7_col4\" class=\"data row7 col4\" >51.45º</td>\n",
+       "                                <td id=\"T_3ad6f_row7_col0\" class=\"data row7 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row7_col1\" class=\"data row7 col1\" >26/03/10</td>\n",
+       "                        <td id=\"T_3ad6f_row7_col2\" class=\"data row7 col2\" >$ 1404429.92</td>\n",
+       "                        <td id=\"T_3ad6f_row7_col3\" class=\"data row7 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row7_col4\" class=\"data row7 col4\" >51.45º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row8_col0\" class=\"data row8 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row8_col1\" class=\"data row8 col1\" >04/02/10</td>\n",
-       "                        <td id=\"T_c1bb2_row8_col2\" class=\"data row8 col2\" >$ 1594968.28</td>\n",
-       "                        <td id=\"T_c1bb2_row8_col3\" class=\"data row8 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row8_col4\" class=\"data row8 col4\" >62.27º</td>\n",
+       "                                <td id=\"T_3ad6f_row8_col0\" class=\"data row8 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row8_col1\" class=\"data row8 col1\" >04/02/10</td>\n",
+       "                        <td id=\"T_3ad6f_row8_col2\" class=\"data row8 col2\" >$ 1594968.28</td>\n",
+       "                        <td id=\"T_3ad6f_row8_col3\" class=\"data row8 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row8_col4\" class=\"data row8 col4\" >62.27º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row9_col0\" class=\"data row9 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row9_col1\" class=\"data row9 col1\" >04/09/10</td>\n",
-       "                        <td id=\"T_c1bb2_row9_col2\" class=\"data row9 col2\" >$ 1545418.53</td>\n",
-       "                        <td id=\"T_c1bb2_row9_col3\" class=\"data row9 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row9_col4\" class=\"data row9 col4\" >65.86º</td>\n",
+       "                                <td id=\"T_3ad6f_row9_col0\" class=\"data row9 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row9_col1\" class=\"data row9 col1\" >04/09/10</td>\n",
+       "                        <td id=\"T_3ad6f_row9_col2\" class=\"data row9 col2\" >$ 1545418.53</td>\n",
+       "                        <td id=\"T_3ad6f_row9_col3\" class=\"data row9 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row9_col4\" class=\"data row9 col4\" >65.86º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row10_col0\" class=\"data row10 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row10_col1\" class=\"data row10 col1\" >16/04/10</td>\n",
-       "                        <td id=\"T_c1bb2_row10_col2\" class=\"data row10 col2\" >$ 1466058.28</td>\n",
-       "                        <td id=\"T_c1bb2_row10_col3\" class=\"data row10 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row10_col4\" class=\"data row10 col4\" >66.32º</td>\n",
+       "                                <td id=\"T_3ad6f_row10_col0\" class=\"data row10 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row10_col1\" class=\"data row10 col1\" >16/04/10</td>\n",
+       "                        <td id=\"T_3ad6f_row10_col2\" class=\"data row10 col2\" >$ 1466058.28</td>\n",
+       "                        <td id=\"T_3ad6f_row10_col3\" class=\"data row10 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row10_col4\" class=\"data row10 col4\" >66.32º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row11_col0\" class=\"data row11 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row11_col1\" class=\"data row11 col1\" >23/04/10</td>\n",
-       "                        <td id=\"T_c1bb2_row11_col2\" class=\"data row11 col2\" >$ 1391256.12</td>\n",
-       "                        <td id=\"T_c1bb2_row11_col3\" class=\"data row11 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row11_col4\" class=\"data row11 col4\" >64.84º</td>\n",
+       "                                <td id=\"T_3ad6f_row11_col0\" class=\"data row11 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row11_col1\" class=\"data row11 col1\" >23/04/10</td>\n",
+       "                        <td id=\"T_3ad6f_row11_col2\" class=\"data row11 col2\" >$ 1391256.12</td>\n",
+       "                        <td id=\"T_3ad6f_row11_col3\" class=\"data row11 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row11_col4\" class=\"data row11 col4\" >64.84º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row12_col0\" class=\"data row12 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row12_col1\" class=\"data row12 col1\" >30/04/10</td>\n",
-       "                        <td id=\"T_c1bb2_row12_col2\" class=\"data row12 col2\" >$ 1425100.71</td>\n",
-       "                        <td id=\"T_c1bb2_row12_col3\" class=\"data row12 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row12_col4\" class=\"data row12 col4\" >67.41º</td>\n",
+       "                                <td id=\"T_3ad6f_row12_col0\" class=\"data row12 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row12_col1\" class=\"data row12 col1\" >30/04/10</td>\n",
+       "                        <td id=\"T_3ad6f_row12_col2\" class=\"data row12 col2\" >$ 1425100.71</td>\n",
+       "                        <td id=\"T_3ad6f_row12_col3\" class=\"data row12 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row12_col4\" class=\"data row12 col4\" >67.41º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row13_col0\" class=\"data row13 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row13_col1\" class=\"data row13 col1\" >05/07/10</td>\n",
-       "                        <td id=\"T_c1bb2_row13_col2\" class=\"data row13 col2\" >$ 1603955.12</td>\n",
-       "                        <td id=\"T_c1bb2_row13_col3\" class=\"data row13 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row13_col4\" class=\"data row13 col4\" >72.55º</td>\n",
+       "                                <td id=\"T_3ad6f_row13_col0\" class=\"data row13 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row13_col1\" class=\"data row13 col1\" >05/07/10</td>\n",
+       "                        <td id=\"T_3ad6f_row13_col2\" class=\"data row13 col2\" >$ 1603955.12</td>\n",
+       "                        <td id=\"T_3ad6f_row13_col3\" class=\"data row13 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row13_col4\" class=\"data row13 col4\" >72.55º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row14_col0\" class=\"data row14 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row14_col1\" class=\"data row14 col1\" >14/05/10</td>\n",
-       "                        <td id=\"T_c1bb2_row14_col2\" class=\"data row14 col2\" >$ 1494251.50</td>\n",
-       "                        <td id=\"T_c1bb2_row14_col3\" class=\"data row14 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row14_col4\" class=\"data row14 col4\" >74.78º</td>\n",
+       "                                <td id=\"T_3ad6f_row14_col0\" class=\"data row14 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row14_col1\" class=\"data row14 col1\" >14/05/10</td>\n",
+       "                        <td id=\"T_3ad6f_row14_col2\" class=\"data row14 col2\" >$ 1494251.50</td>\n",
+       "                        <td id=\"T_3ad6f_row14_col3\" class=\"data row14 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row14_col4\" class=\"data row14 col4\" >74.78º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row15_col0\" class=\"data row15 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row15_col1\" class=\"data row15 col1\" >21/05/10</td>\n",
-       "                        <td id=\"T_c1bb2_row15_col2\" class=\"data row15 col2\" >$ 1399662.07</td>\n",
-       "                        <td id=\"T_c1bb2_row15_col3\" class=\"data row15 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row15_col4\" class=\"data row15 col4\" >76.44º</td>\n",
+       "                                <td id=\"T_3ad6f_row15_col0\" class=\"data row15 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row15_col1\" class=\"data row15 col1\" >21/05/10</td>\n",
+       "                        <td id=\"T_3ad6f_row15_col2\" class=\"data row15 col2\" >$ 1399662.07</td>\n",
+       "                        <td id=\"T_3ad6f_row15_col3\" class=\"data row15 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row15_col4\" class=\"data row15 col4\" >76.44º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row16_col0\" class=\"data row16 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row16_col1\" class=\"data row16 col1\" >28/05/10</td>\n",
-       "                        <td id=\"T_c1bb2_row16_col2\" class=\"data row16 col2\" >$ 1432069.95</td>\n",
-       "                        <td id=\"T_c1bb2_row16_col3\" class=\"data row16 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row16_col4\" class=\"data row16 col4\" >80.44º</td>\n",
+       "                                <td id=\"T_3ad6f_row16_col0\" class=\"data row16 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row16_col1\" class=\"data row16 col1\" >28/05/10</td>\n",
+       "                        <td id=\"T_3ad6f_row16_col2\" class=\"data row16 col2\" >$ 1432069.95</td>\n",
+       "                        <td id=\"T_3ad6f_row16_col3\" class=\"data row16 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row16_col4\" class=\"data row16 col4\" >80.44º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row17_col0\" class=\"data row17 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row17_col1\" class=\"data row17 col1\" >06/04/10</td>\n",
-       "                        <td id=\"T_c1bb2_row17_col2\" class=\"data row17 col2\" >$ 1615524.71</td>\n",
-       "                        <td id=\"T_c1bb2_row17_col3\" class=\"data row17 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row17_col4\" class=\"data row17 col4\" >80.69º</td>\n",
+       "                                <td id=\"T_3ad6f_row17_col0\" class=\"data row17 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row17_col1\" class=\"data row17 col1\" >06/04/10</td>\n",
+       "                        <td id=\"T_3ad6f_row17_col2\" class=\"data row17 col2\" >$ 1615524.71</td>\n",
+       "                        <td id=\"T_3ad6f_row17_col3\" class=\"data row17 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row17_col4\" class=\"data row17 col4\" >80.69º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row18_col0\" class=\"data row18 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row18_col1\" class=\"data row18 col1\" >06/11/10</td>\n",
-       "                        <td id=\"T_c1bb2_row18_col2\" class=\"data row18 col2\" >$ 1542561.09</td>\n",
-       "                        <td id=\"T_c1bb2_row18_col3\" class=\"data row18 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row18_col4\" class=\"data row18 col4\" >80.43º</td>\n",
+       "                                <td id=\"T_3ad6f_row18_col0\" class=\"data row18 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row18_col1\" class=\"data row18 col1\" >06/11/10</td>\n",
+       "                        <td id=\"T_3ad6f_row18_col2\" class=\"data row18 col2\" >$ 1542561.09</td>\n",
+       "                        <td id=\"T_3ad6f_row18_col3\" class=\"data row18 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row18_col4\" class=\"data row18 col4\" >80.43º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row19_col0\" class=\"data row19 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row19_col1\" class=\"data row19 col1\" >18/06/10</td>\n",
-       "                        <td id=\"T_c1bb2_row19_col2\" class=\"data row19 col2\" >$ 1503284.06</td>\n",
-       "                        <td id=\"T_c1bb2_row19_col3\" class=\"data row19 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row19_col4\" class=\"data row19 col4\" >84.11º</td>\n",
+       "                                <td id=\"T_3ad6f_row19_col0\" class=\"data row19 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row19_col1\" class=\"data row19 col1\" >18/06/10</td>\n",
+       "                        <td id=\"T_3ad6f_row19_col2\" class=\"data row19 col2\" >$ 1503284.06</td>\n",
+       "                        <td id=\"T_3ad6f_row19_col3\" class=\"data row19 col3\" >False</td>\n",
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        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row20_col0\" class=\"data row20 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row20_col1\" class=\"data row20 col1\" >25/06/10</td>\n",
-       "                        <td id=\"T_c1bb2_row20_col2\" class=\"data row20 col2\" >$ 1422711.60</td>\n",
-       "                        <td id=\"T_c1bb2_row20_col3\" class=\"data row20 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row20_col4\" class=\"data row20 col4\" >84.34º</td>\n",
+       "                                <td id=\"T_3ad6f_row20_col0\" class=\"data row20 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row20_col1\" class=\"data row20 col1\" >25/06/10</td>\n",
+       "                        <td id=\"T_3ad6f_row20_col2\" class=\"data row20 col2\" >$ 1422711.60</td>\n",
+       "                        <td id=\"T_3ad6f_row20_col3\" class=\"data row20 col3\" >False</td>\n",
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        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row21_col0\" class=\"data row21 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row21_col1\" class=\"data row21 col1\" >07/02/10</td>\n",
-       "                        <td id=\"T_c1bb2_row21_col2\" class=\"data row21 col2\" >$ 1492418.14</td>\n",
-       "                        <td id=\"T_c1bb2_row21_col3\" class=\"data row21 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row21_col4\" class=\"data row21 col4\" >80.91º</td>\n",
+       "                                <td id=\"T_3ad6f_row21_col0\" class=\"data row21 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row21_col1\" class=\"data row21 col1\" >07/02/10</td>\n",
+       "                        <td id=\"T_3ad6f_row21_col2\" class=\"data row21 col2\" >$ 1492418.14</td>\n",
+       "                        <td id=\"T_3ad6f_row21_col3\" class=\"data row21 col3\" >False</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row22_col0\" class=\"data row22 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row22_col1\" class=\"data row22 col1\" >07/09/10</td>\n",
-       "                        <td id=\"T_c1bb2_row22_col2\" class=\"data row22 col2\" >$ 1546074.18</td>\n",
-       "                        <td id=\"T_c1bb2_row22_col3\" class=\"data row22 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row22_col4\" class=\"data row22 col4\" >80.48º</td>\n",
+       "                                <td id=\"T_3ad6f_row22_col0\" class=\"data row22 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row22_col1\" class=\"data row22 col1\" >07/09/10</td>\n",
+       "                        <td id=\"T_3ad6f_row22_col2\" class=\"data row22 col2\" >$ 1546074.18</td>\n",
+       "                        <td id=\"T_3ad6f_row22_col3\" class=\"data row22 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row23_col0\" class=\"data row23 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row23_col1\" class=\"data row23 col1\" >16/07/10</td>\n",
-       "                        <td id=\"T_c1bb2_row23_col2\" class=\"data row23 col2\" >$ 1448938.92</td>\n",
-       "                        <td id=\"T_c1bb2_row23_col3\" class=\"data row23 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row23_col4\" class=\"data row23 col4\" >83.15º</td>\n",
+       "                                <td id=\"T_3ad6f_row23_col0\" class=\"data row23 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row23_col1\" class=\"data row23 col1\" >16/07/10</td>\n",
+       "                        <td id=\"T_3ad6f_row23_col2\" class=\"data row23 col2\" >$ 1448938.92</td>\n",
+       "                        <td id=\"T_3ad6f_row23_col3\" class=\"data row23 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row24_col0\" class=\"data row24 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row24_col1\" class=\"data row24 col1\" >23/07/10</td>\n",
-       "                        <td id=\"T_c1bb2_row24_col2\" class=\"data row24 col2\" >$ 1385065.20</td>\n",
-       "                        <td id=\"T_c1bb2_row24_col3\" class=\"data row24 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row24_col4\" class=\"data row24 col4\" >83.36º</td>\n",
+       "                                <td id=\"T_3ad6f_row24_col0\" class=\"data row24 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row24_col1\" class=\"data row24 col1\" >23/07/10</td>\n",
+       "                        <td id=\"T_3ad6f_row24_col2\" class=\"data row24 col2\" >$ 1385065.20</td>\n",
+       "                        <td id=\"T_3ad6f_row24_col3\" class=\"data row24 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row25_col0\" class=\"data row25 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row25_col1\" class=\"data row25 col1\" >30/07/10</td>\n",
-       "                        <td id=\"T_c1bb2_row25_col2\" class=\"data row25 col2\" >$ 1371986.60</td>\n",
-       "                        <td id=\"T_c1bb2_row25_col3\" class=\"data row25 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row25_col4\" class=\"data row25 col4\" >81.84º</td>\n",
+       "                                <td id=\"T_3ad6f_row25_col0\" class=\"data row25 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row25_col1\" class=\"data row25 col1\" >30/07/10</td>\n",
+       "                        <td id=\"T_3ad6f_row25_col2\" class=\"data row25 col2\" >$ 1371986.60</td>\n",
+       "                        <td id=\"T_3ad6f_row25_col3\" class=\"data row25 col3\" >False</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row26_col0\" class=\"data row26 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row26_col1\" class=\"data row26 col1\" >08/06/10</td>\n",
-       "                        <td id=\"T_c1bb2_row26_col2\" class=\"data row26 col2\" >$ 1605491.78</td>\n",
-       "                        <td id=\"T_c1bb2_row26_col3\" class=\"data row26 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row26_col4\" class=\"data row26 col4\" >87.16º</td>\n",
+       "                                <td id=\"T_3ad6f_row26_col0\" class=\"data row26 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row26_col1\" class=\"data row26 col1\" >08/06/10</td>\n",
+       "                        <td id=\"T_3ad6f_row26_col2\" class=\"data row26 col2\" >$ 1605491.78</td>\n",
+       "                        <td id=\"T_3ad6f_row26_col3\" class=\"data row26 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row26_col4\" class=\"data row26 col4\" >87.16º</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row27_col0\" class=\"data row27 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row27_col1\" class=\"data row27 col1\" >13/08/10</td>\n",
-       "                        <td id=\"T_c1bb2_row27_col2\" class=\"data row27 col2\" >$ 1508237.76</td>\n",
-       "                        <td id=\"T_c1bb2_row27_col3\" class=\"data row27 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row27_col4\" class=\"data row27 col4\" >87.00º</td>\n",
+       "                                <td id=\"T_3ad6f_row27_col0\" class=\"data row27 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row27_col1\" class=\"data row27 col1\" >13/08/10</td>\n",
+       "                        <td id=\"T_3ad6f_row27_col2\" class=\"data row27 col2\" >$ 1508237.76</td>\n",
+       "                        <td id=\"T_3ad6f_row27_col3\" class=\"data row27 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row27_col4\" class=\"data row27 col4\" >87.00º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row28_col0\" class=\"data row28 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row28_col1\" class=\"data row28 col1\" >20/08/10</td>\n",
-       "                        <td id=\"T_c1bb2_row28_col2\" class=\"data row28 col2\" >$ 1513080.49</td>\n",
-       "                        <td id=\"T_c1bb2_row28_col3\" class=\"data row28 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row28_col4\" class=\"data row28 col4\" >86.65º</td>\n",
+       "                                <td id=\"T_3ad6f_row28_col0\" class=\"data row28 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row28_col1\" class=\"data row28 col1\" >20/08/10</td>\n",
+       "                        <td id=\"T_3ad6f_row28_col2\" class=\"data row28 col2\" >$ 1513080.49</td>\n",
+       "                        <td id=\"T_3ad6f_row28_col3\" class=\"data row28 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row28_col4\" class=\"data row28 col4\" >86.65º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row29_col0\" class=\"data row29 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row29_col1\" class=\"data row29 col1\" >27/08/10</td>\n",
-       "                        <td id=\"T_c1bb2_row29_col2\" class=\"data row29 col2\" >$ 1449142.92</td>\n",
-       "                        <td id=\"T_c1bb2_row29_col3\" class=\"data row29 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row29_col4\" class=\"data row29 col4\" >85.22º</td>\n",
+       "                                <td id=\"T_3ad6f_row29_col0\" class=\"data row29 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row29_col1\" class=\"data row29 col1\" >27/08/10</td>\n",
+       "                        <td id=\"T_3ad6f_row29_col2\" class=\"data row29 col2\" >$ 1449142.92</td>\n",
+       "                        <td id=\"T_3ad6f_row29_col3\" class=\"data row29 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row29_col4\" class=\"data row29 col4\" >85.22º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row30_col0\" class=\"data row30 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row30_col1\" class=\"data row30 col1\" >09/03/10</td>\n",
-       "                        <td id=\"T_c1bb2_row30_col2\" class=\"data row30 col2\" >$ 1540163.53</td>\n",
-       "                        <td id=\"T_c1bb2_row30_col3\" class=\"data row30 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row30_col4\" class=\"data row30 col4\" >81.21º</td>\n",
+       "                                <td id=\"T_3ad6f_row30_col0\" class=\"data row30 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row30_col1\" class=\"data row30 col1\" >09/03/10</td>\n",
+       "                        <td id=\"T_3ad6f_row30_col2\" class=\"data row30 col2\" >$ 1540163.53</td>\n",
+       "                        <td id=\"T_3ad6f_row30_col3\" class=\"data row30 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row30_col4\" class=\"data row30 col4\" >81.21º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row31_col0\" class=\"data row31 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row31_col1\" class=\"data row31 col1\" >09/10/10</td>\n",
-       "                        <td id=\"T_c1bb2_row31_col2\" class=\"data row31 col2\" >$ 1507460.69</td>\n",
-       "                        <td id=\"T_c1bb2_row31_col3\" class=\"data row31 col3\" >True</td>\n",
-       "                        <td id=\"T_c1bb2_row31_col4\" class=\"data row31 col4\" >78.69º</td>\n",
+       "                                <td id=\"T_3ad6f_row31_col0\" class=\"data row31 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row31_col1\" class=\"data row31 col1\" >09/10/10</td>\n",
+       "                        <td id=\"T_3ad6f_row31_col2\" class=\"data row31 col2\" >$ 1507460.69</td>\n",
+       "                        <td id=\"T_3ad6f_row31_col3\" class=\"data row31 col3\" >True</td>\n",
+       "                        <td id=\"T_3ad6f_row31_col4\" class=\"data row31 col4\" >78.69º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row32_col0\" class=\"data row32 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row32_col1\" class=\"data row32 col1\" >17/09/10</td>\n",
-       "                        <td id=\"T_c1bb2_row32_col2\" class=\"data row32 col2\" >$ 1430378.67</td>\n",
-       "                        <td id=\"T_c1bb2_row32_col3\" class=\"data row32 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row32_col4\" class=\"data row32 col4\" >82.11º</td>\n",
+       "                                <td id=\"T_3ad6f_row32_col0\" class=\"data row32 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row32_col1\" class=\"data row32 col1\" >17/09/10</td>\n",
+       "                        <td id=\"T_3ad6f_row32_col2\" class=\"data row32 col2\" >$ 1430378.67</td>\n",
+       "                        <td id=\"T_3ad6f_row32_col3\" class=\"data row32 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row32_col4\" class=\"data row32 col4\" >82.11º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row33_col0\" class=\"data row33 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row33_col1\" class=\"data row33 col1\" >24/09/10</td>\n",
-       "                        <td id=\"T_c1bb2_row33_col2\" class=\"data row33 col2\" >$ 1351791.03</td>\n",
-       "                        <td id=\"T_c1bb2_row33_col3\" class=\"data row33 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row33_col4\" class=\"data row33 col4\" >80.94º</td>\n",
+       "                                <td id=\"T_3ad6f_row33_col0\" class=\"data row33 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row33_col1\" class=\"data row33 col1\" >24/09/10</td>\n",
+       "                        <td id=\"T_3ad6f_row33_col2\" class=\"data row33 col2\" >$ 1351791.03</td>\n",
+       "                        <td id=\"T_3ad6f_row33_col3\" class=\"data row33 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row33_col4\" class=\"data row33 col4\" >80.94º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row34_col0\" class=\"data row34 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row34_col1\" class=\"data row34 col1\" >10/01/10</td>\n",
-       "                        <td id=\"T_c1bb2_row34_col2\" class=\"data row34 col2\" >$ 1453329.50</td>\n",
-       "                        <td id=\"T_c1bb2_row34_col3\" class=\"data row34 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row34_col4\" class=\"data row34 col4\" >71.89º</td>\n",
+       "                                <td id=\"T_3ad6f_row34_col0\" class=\"data row34 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row34_col1\" class=\"data row34 col1\" >10/01/10</td>\n",
+       "                        <td id=\"T_3ad6f_row34_col2\" class=\"data row34 col2\" >$ 1453329.50</td>\n",
+       "                        <td id=\"T_3ad6f_row34_col3\" class=\"data row34 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row34_col4\" class=\"data row34 col4\" >71.89º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row35_col0\" class=\"data row35 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row35_col1\" class=\"data row35 col1\" >10/08/10</td>\n",
-       "                        <td id=\"T_c1bb2_row35_col2\" class=\"data row35 col2\" >$ 1508239.93</td>\n",
-       "                        <td id=\"T_c1bb2_row35_col3\" class=\"data row35 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row35_col4\" class=\"data row35 col4\" >63.93º</td>\n",
+       "                                <td id=\"T_3ad6f_row35_col0\" class=\"data row35 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row35_col1\" class=\"data row35 col1\" >10/08/10</td>\n",
+       "                        <td id=\"T_3ad6f_row35_col2\" class=\"data row35 col2\" >$ 1508239.93</td>\n",
+       "                        <td id=\"T_3ad6f_row35_col3\" class=\"data row35 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row35_col4\" class=\"data row35 col4\" >63.93º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row36_col0\" class=\"data row36 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row36_col1\" class=\"data row36 col1\" >15/10/10</td>\n",
-       "                        <td id=\"T_c1bb2_row36_col2\" class=\"data row36 col2\" >$ 1459409.10</td>\n",
-       "                        <td id=\"T_c1bb2_row36_col3\" class=\"data row36 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row36_col4\" class=\"data row36 col4\" >67.18º</td>\n",
+       "                                <td id=\"T_3ad6f_row36_col0\" class=\"data row36 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row36_col1\" class=\"data row36 col1\" >15/10/10</td>\n",
+       "                        <td id=\"T_3ad6f_row36_col2\" class=\"data row36 col2\" >$ 1459409.10</td>\n",
+       "                        <td id=\"T_3ad6f_row36_col3\" class=\"data row36 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row36_col4\" class=\"data row36 col4\" >67.18º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row37_col0\" class=\"data row37 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row37_col1\" class=\"data row37 col1\" >22/10/10</td>\n",
-       "                        <td id=\"T_c1bb2_row37_col2\" class=\"data row37 col2\" >$ 1345454.00</td>\n",
-       "                        <td id=\"T_c1bb2_row37_col3\" class=\"data row37 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row37_col4\" class=\"data row37 col4\" >69.86º</td>\n",
+       "                                <td id=\"T_3ad6f_row37_col0\" class=\"data row37 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row37_col1\" class=\"data row37 col1\" >22/10/10</td>\n",
+       "                        <td id=\"T_3ad6f_row37_col2\" class=\"data row37 col2\" >$ 1345454.00</td>\n",
+       "                        <td id=\"T_3ad6f_row37_col3\" class=\"data row37 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row37_col4\" class=\"data row37 col4\" >69.86º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row38_col0\" class=\"data row38 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row38_col1\" class=\"data row38 col1\" >29/10/10</td>\n",
-       "                        <td id=\"T_c1bb2_row38_col2\" class=\"data row38 col2\" >$ 1384209.22</td>\n",
-       "                        <td id=\"T_c1bb2_row38_col3\" class=\"data row38 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row38_col4\" class=\"data row38 col4\" >69.64º</td>\n",
+       "                                <td id=\"T_3ad6f_row38_col0\" class=\"data row38 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row38_col1\" class=\"data row38 col1\" >29/10/10</td>\n",
+       "                        <td id=\"T_3ad6f_row38_col2\" class=\"data row38 col2\" >$ 1384209.22</td>\n",
+       "                        <td id=\"T_3ad6f_row38_col3\" class=\"data row38 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row38_col4\" class=\"data row38 col4\" >69.64º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row39_col0\" class=\"data row39 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row39_col1\" class=\"data row39 col1\" >11/05/10</td>\n",
-       "                        <td id=\"T_c1bb2_row39_col2\" class=\"data row39 col2\" >$ 1551659.28</td>\n",
-       "                        <td id=\"T_c1bb2_row39_col3\" class=\"data row39 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row39_col4\" class=\"data row39 col4\" >58.74º</td>\n",
+       "                                <td id=\"T_3ad6f_row39_col0\" class=\"data row39 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row39_col1\" class=\"data row39 col1\" >11/05/10</td>\n",
+       "                        <td id=\"T_3ad6f_row39_col2\" class=\"data row39 col2\" >$ 1551659.28</td>\n",
+       "                        <td id=\"T_3ad6f_row39_col3\" class=\"data row39 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row39_col4\" class=\"data row39 col4\" >58.74º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row40_col0\" class=\"data row40 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row40_col1\" class=\"data row40 col1\" >11/12/10</td>\n",
-       "                        <td id=\"T_c1bb2_row40_col2\" class=\"data row40 col2\" >$ 1494479.49</td>\n",
-       "                        <td id=\"T_c1bb2_row40_col3\" class=\"data row40 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row40_col4\" class=\"data row40 col4\" >59.61º</td>\n",
+       "                                <td id=\"T_3ad6f_row40_col0\" class=\"data row40 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row40_col1\" class=\"data row40 col1\" >11/12/10</td>\n",
+       "                        <td id=\"T_3ad6f_row40_col2\" class=\"data row40 col2\" >$ 1494479.49</td>\n",
+       "                        <td id=\"T_3ad6f_row40_col3\" class=\"data row40 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row40_col4\" class=\"data row40 col4\" >59.61º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row41_col0\" class=\"data row41 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row41_col1\" class=\"data row41 col1\" >19/11/10</td>\n",
-       "                        <td id=\"T_c1bb2_row41_col2\" class=\"data row41 col2\" >$ 1483784.18</td>\n",
-       "                        <td id=\"T_c1bb2_row41_col3\" class=\"data row41 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row41_col4\" class=\"data row41 col4\" >51.41º</td>\n",
+       "                                <td id=\"T_3ad6f_row41_col0\" class=\"data row41 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row41_col1\" class=\"data row41 col1\" >19/11/10</td>\n",
+       "                        <td id=\"T_3ad6f_row41_col2\" class=\"data row41 col2\" >$ 1483784.18</td>\n",
+       "                        <td id=\"T_3ad6f_row41_col3\" class=\"data row41 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row41_col4\" class=\"data row41 col4\" >51.41º</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row42_col0\" class=\"data row42 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row42_col1\" class=\"data row42 col1\" >26/11/10</td>\n",
-       "                        <td id=\"T_c1bb2_row42_col2\" class=\"data row42 col2\" >$ 1955624.11</td>\n",
-       "                        <td id=\"T_c1bb2_row42_col3\" class=\"data row42 col3\" >True</td>\n",
-       "                        <td id=\"T_c1bb2_row42_col4\" class=\"data row42 col4\" >64.52º</td>\n",
+       "                                <td id=\"T_3ad6f_row42_col0\" class=\"data row42 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row42_col1\" class=\"data row42 col1\" >26/11/10</td>\n",
+       "                        <td id=\"T_3ad6f_row42_col2\" class=\"data row42 col2\" >$ 1955624.11</td>\n",
+       "                        <td id=\"T_3ad6f_row42_col3\" class=\"data row42 col3\" >True</td>\n",
+       "                        <td id=\"T_3ad6f_row42_col4\" class=\"data row42 col4\" >64.52º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row43_col0\" class=\"data row43 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row43_col1\" class=\"data row43 col1\" >12/03/10</td>\n",
-       "                        <td id=\"T_c1bb2_row43_col2\" class=\"data row43 col2\" >$ 1548033.78</td>\n",
-       "                        <td id=\"T_c1bb2_row43_col3\" class=\"data row43 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row43_col4\" class=\"data row43 col4\" >49.27º</td>\n",
+       "                                <td id=\"T_3ad6f_row43_col0\" class=\"data row43 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row43_col1\" class=\"data row43 col1\" >12/03/10</td>\n",
+       "                        <td id=\"T_3ad6f_row43_col2\" class=\"data row43 col2\" >$ 1548033.78</td>\n",
+       "                        <td id=\"T_3ad6f_row43_col3\" class=\"data row43 col3\" >False</td>\n",
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        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row44_col0\" class=\"data row44 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row44_col1\" class=\"data row44 col1\" >12/10/10</td>\n",
-       "                        <td id=\"T_c1bb2_row44_col2\" class=\"data row44 col2\" >$ 1682614.26</td>\n",
-       "                        <td id=\"T_c1bb2_row44_col3\" class=\"data row44 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row44_col4\" class=\"data row44 col4\" >46.33º</td>\n",
+       "                                <td id=\"T_3ad6f_row44_col0\" class=\"data row44 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row44_col1\" class=\"data row44 col1\" >12/10/10</td>\n",
+       "                        <td id=\"T_3ad6f_row44_col2\" class=\"data row44 col2\" >$ 1682614.26</td>\n",
+       "                        <td id=\"T_3ad6f_row44_col3\" class=\"data row44 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row44_col4\" class=\"data row44 col4\" >46.33º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row45_col0\" class=\"data row45 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row45_col1\" class=\"data row45 col1\" >17/12/10</td>\n",
-       "                        <td id=\"T_c1bb2_row45_col2\" class=\"data row45 col2\" >$ 1891034.93</td>\n",
-       "                        <td id=\"T_c1bb2_row45_col3\" class=\"data row45 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row45_col4\" class=\"data row45 col4\" >49.84º</td>\n",
+       "                                <td id=\"T_3ad6f_row45_col0\" class=\"data row45 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row45_col1\" class=\"data row45 col1\" >17/12/10</td>\n",
+       "                        <td id=\"T_3ad6f_row45_col2\" class=\"data row45 col2\" >$ 1891034.93</td>\n",
+       "                        <td id=\"T_3ad6f_row45_col3\" class=\"data row45 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row45_col4\" class=\"data row45 col4\" >49.84º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row46_col0\" class=\"data row46 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row46_col1\" class=\"data row46 col1\" >24/12/10</td>\n",
-       "                        <td id=\"T_c1bb2_row46_col2\" class=\"data row46 col2\" >$ 2387950.20</td>\n",
-       "                        <td id=\"T_c1bb2_row46_col3\" class=\"data row46 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row46_col4\" class=\"data row46 col4\" >52.33º</td>\n",
+       "                                <td id=\"T_3ad6f_row46_col0\" class=\"data row46 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row46_col1\" class=\"data row46 col1\" >24/12/10</td>\n",
+       "                        <td id=\"T_3ad6f_row46_col2\" class=\"data row46 col2\" >$ 2387950.20</td>\n",
+       "                        <td id=\"T_3ad6f_row46_col3\" class=\"data row46 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row46_col4\" class=\"data row46 col4\" >52.33º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row47_col0\" class=\"data row47 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row47_col1\" class=\"data row47 col1\" >31/12/10</td>\n",
-       "                        <td id=\"T_c1bb2_row47_col2\" class=\"data row47 col2\" >$ 1367320.01</td>\n",
-       "                        <td id=\"T_c1bb2_row47_col3\" class=\"data row47 col3\" >True</td>\n",
-       "                        <td id=\"T_c1bb2_row47_col4\" class=\"data row47 col4\" >48.43º</td>\n",
+       "                                <td id=\"T_3ad6f_row47_col0\" class=\"data row47 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row47_col1\" class=\"data row47 col1\" >31/12/10</td>\n",
+       "                        <td id=\"T_3ad6f_row47_col2\" class=\"data row47 col2\" >$ 1367320.01</td>\n",
+       "                        <td id=\"T_3ad6f_row47_col3\" class=\"data row47 col3\" >True</td>\n",
+       "                        <td id=\"T_3ad6f_row47_col4\" class=\"data row47 col4\" >48.43º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row48_col0\" class=\"data row48 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row48_col1\" class=\"data row48 col1\" >01/07/11</td>\n",
-       "                        <td id=\"T_c1bb2_row48_col2\" class=\"data row48 col2\" >$ 1444732.28</td>\n",
-       "                        <td id=\"T_c1bb2_row48_col3\" class=\"data row48 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row48_col4\" class=\"data row48 col4\" >48.27º</td>\n",
+       "                                <td id=\"T_3ad6f_row48_col0\" class=\"data row48 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row48_col1\" class=\"data row48 col1\" >01/07/11</td>\n",
+       "                        <td id=\"T_3ad6f_row48_col2\" class=\"data row48 col2\" >$ 1444732.28</td>\n",
+       "                        <td id=\"T_3ad6f_row48_col3\" class=\"data row48 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row48_col4\" class=\"data row48 col4\" >48.27º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row49_col0\" class=\"data row49 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row49_col1\" class=\"data row49 col1\" >14/01/11</td>\n",
-       "                        <td id=\"T_c1bb2_row49_col2\" class=\"data row49 col2\" >$ 1391013.96</td>\n",
-       "                        <td id=\"T_c1bb2_row49_col3\" class=\"data row49 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row49_col4\" class=\"data row49 col4\" >35.40º</td>\n",
+       "                                <td id=\"T_3ad6f_row49_col0\" class=\"data row49 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row49_col1\" class=\"data row49 col1\" >14/01/11</td>\n",
+       "                        <td id=\"T_3ad6f_row49_col2\" class=\"data row49 col2\" >$ 1391013.96</td>\n",
+       "                        <td id=\"T_3ad6f_row49_col3\" class=\"data row49 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row49_col4\" class=\"data row49 col4\" >35.40º</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row50_col0\" class=\"data row50 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row50_col1\" class=\"data row50 col1\" >21/01/11</td>\n",
-       "                        <td id=\"T_c1bb2_row50_col2\" class=\"data row50 col2\" >$ 1327405.42</td>\n",
-       "                        <td id=\"T_c1bb2_row50_col3\" class=\"data row50 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row50_col4\" class=\"data row50 col4\" >44.04º</td>\n",
+       "                                <td id=\"T_3ad6f_row50_col0\" class=\"data row50 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row50_col1\" class=\"data row50 col1\" >21/01/11</td>\n",
+       "                        <td id=\"T_3ad6f_row50_col2\" class=\"data row50 col2\" >$ 1327405.42</td>\n",
+       "                        <td id=\"T_3ad6f_row50_col3\" class=\"data row50 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row50_col4\" class=\"data row50 col4\" >44.04º</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row51_col0\" class=\"data row51 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row51_col1\" class=\"data row51 col1\" >28/01/11</td>\n",
-       "                        <td id=\"T_c1bb2_row51_col2\" class=\"data row51 col2\" >$ 1316899.31</td>\n",
-       "                        <td id=\"T_c1bb2_row51_col3\" class=\"data row51 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row51_col4\" class=\"data row51 col4\" >43.83º</td>\n",
+       "                                <td id=\"T_3ad6f_row51_col0\" class=\"data row51 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row51_col1\" class=\"data row51 col1\" >28/01/11</td>\n",
+       "                        <td id=\"T_3ad6f_row51_col2\" class=\"data row51 col2\" >$ 1316899.31</td>\n",
+       "                        <td id=\"T_3ad6f_row51_col3\" class=\"data row51 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row51_col4\" class=\"data row51 col4\" >43.83º</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row52_col0\" class=\"data row52 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row52_col1\" class=\"data row52 col1\" >02/04/11</td>\n",
-       "                        <td id=\"T_c1bb2_row52_col2\" class=\"data row52 col2\" >$ 1606629.58</td>\n",
-       "                        <td id=\"T_c1bb2_row52_col3\" class=\"data row52 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row52_col4\" class=\"data row52 col4\" >42.27º</td>\n",
+       "                                <td id=\"T_3ad6f_row52_col0\" class=\"data row52 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row52_col1\" class=\"data row52 col1\" >02/04/11</td>\n",
+       "                        <td id=\"T_3ad6f_row52_col2\" class=\"data row52 col2\" >$ 1606629.58</td>\n",
+       "                        <td id=\"T_3ad6f_row52_col3\" class=\"data row52 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row52_col4\" class=\"data row52 col4\" >42.27º</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row53_col0\" class=\"data row53 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row53_col1\" class=\"data row53 col1\" >02/11/11</td>\n",
-       "                        <td id=\"T_c1bb2_row53_col2\" class=\"data row53 col2\" >$ 1649614.93</td>\n",
-       "                        <td id=\"T_c1bb2_row53_col3\" class=\"data row53 col3\" >True</td>\n",
-       "                        <td id=\"T_c1bb2_row53_col4\" class=\"data row53 col4\" >36.39º</td>\n",
+       "                                <td id=\"T_3ad6f_row53_col0\" class=\"data row53 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row53_col1\" class=\"data row53 col1\" >02/11/11</td>\n",
+       "                        <td id=\"T_3ad6f_row53_col2\" class=\"data row53 col2\" >$ 1649614.93</td>\n",
+       "                        <td id=\"T_3ad6f_row53_col3\" class=\"data row53 col3\" >True</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row54_col0\" class=\"data row54 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row54_col1\" class=\"data row54 col1\" >18/02/11</td>\n",
-       "                        <td id=\"T_c1bb2_row54_col2\" class=\"data row54 col2\" >$ 1686842.78</td>\n",
-       "                        <td id=\"T_c1bb2_row54_col3\" class=\"data row54 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row54_col4\" class=\"data row54 col4\" >57.36º</td>\n",
+       "                                <td id=\"T_3ad6f_row54_col0\" class=\"data row54 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row54_col1\" class=\"data row54 col1\" >18/02/11</td>\n",
+       "                        <td id=\"T_3ad6f_row54_col2\" class=\"data row54 col2\" >$ 1686842.78</td>\n",
+       "                        <td id=\"T_3ad6f_row54_col3\" class=\"data row54 col3\" >False</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row55_col0\" class=\"data row55 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row55_col1\" class=\"data row55 col1\" >25/02/11</td>\n",
-       "                        <td id=\"T_c1bb2_row55_col2\" class=\"data row55 col2\" >$ 1456800.28</td>\n",
-       "                        <td id=\"T_c1bb2_row55_col3\" class=\"data row55 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row55_col4\" class=\"data row55 col4\" >62.90º</td>\n",
+       "                                <td id=\"T_3ad6f_row55_col0\" class=\"data row55 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row55_col1\" class=\"data row55 col1\" >25/02/11</td>\n",
+       "                        <td id=\"T_3ad6f_row55_col2\" class=\"data row55 col2\" >$ 1456800.28</td>\n",
+       "                        <td id=\"T_3ad6f_row55_col3\" class=\"data row55 col3\" >False</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row56_col0\" class=\"data row56 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row56_col1\" class=\"data row56 col1\" >03/04/11</td>\n",
-       "                        <td id=\"T_c1bb2_row56_col2\" class=\"data row56 col2\" >$ 1636263.41</td>\n",
-       "                        <td id=\"T_c1bb2_row56_col3\" class=\"data row56 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row56_col4\" class=\"data row56 col4\" >59.58º</td>\n",
+       "                                <td id=\"T_3ad6f_row56_col0\" class=\"data row56 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row56_col1\" class=\"data row56 col1\" >03/04/11</td>\n",
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+       "                        <td id=\"T_3ad6f_row56_col3\" class=\"data row56 col3\" >False</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row57_col0\" class=\"data row57 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row57_col1\" class=\"data row57 col1\" >03/11/11</td>\n",
-       "                        <td id=\"T_c1bb2_row57_col2\" class=\"data row57 col2\" >$ 1553191.63</td>\n",
-       "                        <td id=\"T_c1bb2_row57_col3\" class=\"data row57 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row57_col4\" class=\"data row57 col4\" >53.56º</td>\n",
+       "                                <td id=\"T_3ad6f_row57_col0\" class=\"data row57 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row57_col1\" class=\"data row57 col1\" >03/11/11</td>\n",
+       "                        <td id=\"T_3ad6f_row57_col2\" class=\"data row57 col2\" >$ 1553191.63</td>\n",
+       "                        <td id=\"T_3ad6f_row57_col3\" class=\"data row57 col3\" >False</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row58_col0\" class=\"data row58 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row58_col1\" class=\"data row58 col1\" >18/03/11</td>\n",
-       "                        <td id=\"T_c1bb2_row58_col2\" class=\"data row58 col2\" >$ 1576818.06</td>\n",
-       "                        <td id=\"T_c1bb2_row58_col3\" class=\"data row58 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row58_col4\" class=\"data row58 col4\" >62.76º</td>\n",
+       "                                <td id=\"T_3ad6f_row58_col0\" class=\"data row58 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row58_col1\" class=\"data row58 col1\" >18/03/11</td>\n",
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+       "                        <td id=\"T_3ad6f_row58_col3\" class=\"data row58 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row59_col0\" class=\"data row59 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row59_col1\" class=\"data row59 col1\" >25/03/11</td>\n",
-       "                        <td id=\"T_c1bb2_row59_col2\" class=\"data row59 col2\" >$ 1541102.38</td>\n",
-       "                        <td id=\"T_c1bb2_row59_col3\" class=\"data row59 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row59_col4\" class=\"data row59 col4\" >69.97º</td>\n",
+       "                                <td id=\"T_3ad6f_row59_col0\" class=\"data row59 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row59_col3\" class=\"data row59 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row60_col0\" class=\"data row60 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row60_col1\" class=\"data row60 col1\" >04/01/11</td>\n",
-       "                        <td id=\"T_c1bb2_row60_col2\" class=\"data row60 col2\" >$ 1495064.75</td>\n",
-       "                        <td id=\"T_c1bb2_row60_col3\" class=\"data row60 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row60_col4\" class=\"data row60 col4\" >59.17º</td>\n",
+       "                                <td id=\"T_3ad6f_row60_col0\" class=\"data row60 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row60_col2\" class=\"data row60 col2\" >$ 1495064.75</td>\n",
+       "                        <td id=\"T_3ad6f_row60_col3\" class=\"data row60 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row61_col0\" class=\"data row61 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row61_col1\" class=\"data row61 col1\" >04/08/11</td>\n",
-       "                        <td id=\"T_c1bb2_row61_col2\" class=\"data row61 col2\" >$ 1614259.35</td>\n",
-       "                        <td id=\"T_c1bb2_row61_col3\" class=\"data row61 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row61_col4\" class=\"data row61 col4\" >67.84º</td>\n",
+       "                                <td id=\"T_3ad6f_row61_col0\" class=\"data row61 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row61_col3\" class=\"data row61 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row62_col0\" class=\"data row62 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row62_col1\" class=\"data row62 col1\" >15/04/11</td>\n",
-       "                        <td id=\"T_c1bb2_row62_col2\" class=\"data row62 col2\" >$ 1559889.00</td>\n",
-       "                        <td id=\"T_c1bb2_row62_col3\" class=\"data row62 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row62_col4\" class=\"data row62 col4\" >71.27º</td>\n",
+       "                                <td id=\"T_3ad6f_row62_col0\" class=\"data row62 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row62_col3\" class=\"data row62 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row63_col0\" class=\"data row63 col0\" >1</td>\n",
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-       "                        <td id=\"T_c1bb2_row63_col2\" class=\"data row63 col2\" >$ 1564819.81</td>\n",
-       "                        <td id=\"T_c1bb2_row63_col3\" class=\"data row63 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row63_col4\" class=\"data row63 col4\" >72.99º</td>\n",
+       "                                <td id=\"T_3ad6f_row63_col0\" class=\"data row63 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row63_col3\" class=\"data row63 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row64_col0\" class=\"data row64 col0\" >1</td>\n",
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-       "                        <td id=\"T_c1bb2_row64_col2\" class=\"data row64 col2\" >$ 1455090.69</td>\n",
-       "                        <td id=\"T_c1bb2_row64_col3\" class=\"data row64 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row64_col4\" class=\"data row64 col4\" >72.03º</td>\n",
+       "                                <td id=\"T_3ad6f_row64_col0\" class=\"data row64 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row64_col3\" class=\"data row64 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row65_col0\" class=\"data row65 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row65_col1\" class=\"data row65 col1\" >05/06/11</td>\n",
-       "                        <td id=\"T_c1bb2_row65_col2\" class=\"data row65 col2\" >$ 1629391.28</td>\n",
-       "                        <td id=\"T_c1bb2_row65_col3\" class=\"data row65 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row65_col4\" class=\"data row65 col4\" >64.61º</td>\n",
+       "                                <td id=\"T_3ad6f_row65_col0\" class=\"data row65 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row65_col1\" class=\"data row65 col1\" >05/06/11</td>\n",
+       "                        <td id=\"T_3ad6f_row65_col2\" class=\"data row65 col2\" >$ 1629391.28</td>\n",
+       "                        <td id=\"T_3ad6f_row65_col3\" class=\"data row65 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row65_col4\" class=\"data row65 col4\" >64.61º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row66_col0\" class=\"data row66 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row66_col1\" class=\"data row66 col1\" >13/05/11</td>\n",
-       "                        <td id=\"T_c1bb2_row66_col2\" class=\"data row66 col2\" >$ 1604775.58</td>\n",
-       "                        <td id=\"T_c1bb2_row66_col3\" class=\"data row66 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row66_col4\" class=\"data row66 col4\" >75.64º</td>\n",
+       "                                <td id=\"T_3ad6f_row66_col0\" class=\"data row66 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row66_col1\" class=\"data row66 col1\" >13/05/11</td>\n",
+       "                        <td id=\"T_3ad6f_row66_col2\" class=\"data row66 col2\" >$ 1604775.58</td>\n",
+       "                        <td id=\"T_3ad6f_row66_col3\" class=\"data row66 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row66_col4\" class=\"data row66 col4\" >75.64º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row67_col0\" class=\"data row67 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row67_col1\" class=\"data row67 col1\" >20/05/11</td>\n",
-       "                        <td id=\"T_c1bb2_row67_col2\" class=\"data row67 col2\" >$ 1428218.27</td>\n",
-       "                        <td id=\"T_c1bb2_row67_col3\" class=\"data row67 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row67_col4\" class=\"data row67 col4\" >67.63º</td>\n",
+       "                                <td id=\"T_3ad6f_row67_col0\" class=\"data row67 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row67_col1\" class=\"data row67 col1\" >20/05/11</td>\n",
+       "                        <td id=\"T_3ad6f_row67_col2\" class=\"data row67 col2\" >$ 1428218.27</td>\n",
+       "                        <td id=\"T_3ad6f_row67_col3\" class=\"data row67 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row67_col4\" class=\"data row67 col4\" >67.63º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row68_col0\" class=\"data row68 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row68_col1\" class=\"data row68 col1\" >27/05/11</td>\n",
-       "                        <td id=\"T_c1bb2_row68_col2\" class=\"data row68 col2\" >$ 1466046.67</td>\n",
-       "                        <td id=\"T_c1bb2_row68_col3\" class=\"data row68 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row68_col4\" class=\"data row68 col4\" >77.72º</td>\n",
+       "                                <td id=\"T_3ad6f_row68_col0\" class=\"data row68 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row68_col1\" class=\"data row68 col1\" >27/05/11</td>\n",
+       "                        <td id=\"T_3ad6f_row68_col2\" class=\"data row68 col2\" >$ 1466046.67</td>\n",
+       "                        <td id=\"T_3ad6f_row68_col3\" class=\"data row68 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row68_col4\" class=\"data row68 col4\" >77.72º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row69_col0\" class=\"data row69 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row69_col1\" class=\"data row69 col1\" >06/03/11</td>\n",
-       "                        <td id=\"T_c1bb2_row69_col2\" class=\"data row69 col2\" >$ 1635078.41</td>\n",
-       "                        <td id=\"T_c1bb2_row69_col3\" class=\"data row69 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row69_col4\" class=\"data row69 col4\" >83.00º</td>\n",
+       "                                <td id=\"T_3ad6f_row69_col0\" class=\"data row69 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row69_col1\" class=\"data row69 col1\" >06/03/11</td>\n",
+       "                        <td id=\"T_3ad6f_row69_col2\" class=\"data row69 col2\" >$ 1635078.41</td>\n",
+       "                        <td id=\"T_3ad6f_row69_col3\" class=\"data row69 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row69_col4\" class=\"data row69 col4\" >83.00º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row70_col0\" class=\"data row70 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row70_col1\" class=\"data row70 col1\" >06/10/11</td>\n",
-       "                        <td id=\"T_c1bb2_row70_col2\" class=\"data row70 col2\" >$ 1588948.32</td>\n",
-       "                        <td id=\"T_c1bb2_row70_col3\" class=\"data row70 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row70_col4\" class=\"data row70 col4\" >83.13º</td>\n",
+       "                                <td id=\"T_3ad6f_row70_col0\" class=\"data row70 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row70_col1\" class=\"data row70 col1\" >06/10/11</td>\n",
+       "                        <td id=\"T_3ad6f_row70_col2\" class=\"data row70 col2\" >$ 1588948.32</td>\n",
+       "                        <td id=\"T_3ad6f_row70_col3\" class=\"data row70 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row70_col4\" class=\"data row70 col4\" >83.13º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row71_col0\" class=\"data row71 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row71_col1\" class=\"data row71 col1\" >17/06/11</td>\n",
-       "                        <td id=\"T_c1bb2_row71_col2\" class=\"data row71 col2\" >$ 1532114.86</td>\n",
-       "                        <td id=\"T_c1bb2_row71_col3\" class=\"data row71 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row71_col4\" class=\"data row71 col4\" >86.41º</td>\n",
+       "                                <td id=\"T_3ad6f_row71_col0\" class=\"data row71 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row71_col1\" class=\"data row71 col1\" >17/06/11</td>\n",
+       "                        <td id=\"T_3ad6f_row71_col2\" class=\"data row71 col2\" >$ 1532114.86</td>\n",
+       "                        <td id=\"T_3ad6f_row71_col3\" class=\"data row71 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row71_col4\" class=\"data row71 col4\" >86.41º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row72_col0\" class=\"data row72 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row72_col1\" class=\"data row72 col1\" >24/06/11</td>\n",
-       "                        <td id=\"T_c1bb2_row72_col2\" class=\"data row72 col2\" >$ 1438830.15</td>\n",
-       "                        <td id=\"T_c1bb2_row72_col3\" class=\"data row72 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row72_col4\" class=\"data row72 col4\" >83.58º</td>\n",
+       "                                <td id=\"T_3ad6f_row72_col0\" class=\"data row72 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row72_col1\" class=\"data row72 col1\" >24/06/11</td>\n",
+       "                        <td id=\"T_3ad6f_row72_col2\" class=\"data row72 col2\" >$ 1438830.15</td>\n",
+       "                        <td id=\"T_3ad6f_row72_col3\" class=\"data row72 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row72_col4\" class=\"data row72 col4\" >83.58º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row73_col0\" class=\"data row73 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row73_col1\" class=\"data row73 col1\" >07/01/11</td>\n",
-       "                        <td id=\"T_c1bb2_row73_col2\" class=\"data row73 col2\" >$ 1488538.09</td>\n",
-       "                        <td id=\"T_c1bb2_row73_col3\" class=\"data row73 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row73_col4\" class=\"data row73 col4\" >85.55º</td>\n",
+       "                                <td id=\"T_3ad6f_row73_col0\" class=\"data row73 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row73_col1\" class=\"data row73 col1\" >07/01/11</td>\n",
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+       "                        <td id=\"T_3ad6f_row73_col3\" class=\"data row73 col3\" >False</td>\n",
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        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row74_col0\" class=\"data row74 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row74_col1\" class=\"data row74 col1\" >07/08/11</td>\n",
-       "                        <td id=\"T_c1bb2_row74_col2\" class=\"data row74 col2\" >$ 1534849.64</td>\n",
-       "                        <td id=\"T_c1bb2_row74_col3\" class=\"data row74 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row74_col4\" class=\"data row74 col4\" >85.83º</td>\n",
+       "                                <td id=\"T_3ad6f_row74_col0\" class=\"data row74 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row74_col1\" class=\"data row74 col1\" >07/08/11</td>\n",
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+       "                        <td id=\"T_3ad6f_row74_col3\" class=\"data row74 col3\" >False</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row75_col0\" class=\"data row75 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row75_col1\" class=\"data row75 col1\" >15/07/11</td>\n",
-       "                        <td id=\"T_c1bb2_row75_col2\" class=\"data row75 col2\" >$ 1455119.97</td>\n",
-       "                        <td id=\"T_c1bb2_row75_col3\" class=\"data row75 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row75_col4\" class=\"data row75 col4\" >88.54º</td>\n",
+       "                                <td id=\"T_3ad6f_row75_col0\" class=\"data row75 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row75_col3\" class=\"data row75 col3\" >False</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row76_col0\" class=\"data row76 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row76_col1\" class=\"data row76 col1\" >22/07/11</td>\n",
-       "                        <td id=\"T_c1bb2_row76_col2\" class=\"data row76 col2\" >$ 1396926.82</td>\n",
-       "                        <td id=\"T_c1bb2_row76_col3\" class=\"data row76 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row76_col4\" class=\"data row76 col4\" >85.77º</td>\n",
+       "                                <td id=\"T_3ad6f_row76_col0\" class=\"data row76 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row76_col3\" class=\"data row76 col3\" >False</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row77_col0\" class=\"data row77 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row77_col1\" class=\"data row77 col1\" >29/07/11</td>\n",
-       "                        <td id=\"T_c1bb2_row77_col2\" class=\"data row77 col2\" >$ 1352219.79</td>\n",
-       "                        <td id=\"T_c1bb2_row77_col3\" class=\"data row77 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row77_col4\" class=\"data row77 col4\" >86.83º</td>\n",
+       "                                <td id=\"T_3ad6f_row77_col0\" class=\"data row77 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row77_col3\" class=\"data row77 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row78_col0\" class=\"data row78 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row78_col1\" class=\"data row78 col1\" >08/05/11</td>\n",
-       "                        <td id=\"T_c1bb2_row78_col2\" class=\"data row78 col2\" >$ 1624383.75</td>\n",
-       "                        <td id=\"T_c1bb2_row78_col3\" class=\"data row78 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row78_col4\" class=\"data row78 col4\" >91.65º</td>\n",
+       "                                <td id=\"T_3ad6f_row78_col0\" class=\"data row78 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row78_col3\" class=\"data row78 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row79_col0\" class=\"data row79 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row79_col1\" class=\"data row79 col1\" >08/12/11</td>\n",
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-       "                        <td id=\"T_c1bb2_row79_col3\" class=\"data row79 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row79_col4\" class=\"data row79 col4\" >90.76º</td>\n",
+       "                                <td id=\"T_3ad6f_row79_col0\" class=\"data row79 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row79_col3\" class=\"data row79 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row80_col0\" class=\"data row80 col0\" >1</td>\n",
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-       "                        <td id=\"T_c1bb2_row80_col2\" class=\"data row80 col2\" >$ 1530761.43</td>\n",
-       "                        <td id=\"T_c1bb2_row80_col3\" class=\"data row80 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row80_col4\" class=\"data row80 col4\" >89.94º</td>\n",
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+       "                        <td id=\"T_3ad6f_row80_col3\" class=\"data row80 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row81_col0\" class=\"data row81 col0\" >1</td>\n",
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-       "                        <td id=\"T_c1bb2_row81_col3\" class=\"data row81 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row81_col4\" class=\"data row81 col4\" >87.96º</td>\n",
+       "                                <td id=\"T_3ad6f_row81_col0\" class=\"data row81 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row81_col3\" class=\"data row81 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row82_col0\" class=\"data row82 col0\" >1</td>\n",
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-       "                        <td id=\"T_c1bb2_row82_col3\" class=\"data row82 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row82_col4\" class=\"data row82 col4\" >87.83º</td>\n",
+       "                                <td id=\"T_3ad6f_row82_col0\" class=\"data row82 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row82_col3\" class=\"data row82 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row83_col0\" class=\"data row83 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row83_col1\" class=\"data row83 col1\" >09/09/11</td>\n",
-       "                        <td id=\"T_c1bb2_row83_col2\" class=\"data row83 col2\" >$ 1540471.24</td>\n",
-       "                        <td id=\"T_c1bb2_row83_col3\" class=\"data row83 col3\" >True</td>\n",
-       "                        <td id=\"T_c1bb2_row83_col4\" class=\"data row83 col4\" >76.00º</td>\n",
+       "                                <td id=\"T_3ad6f_row83_col0\" class=\"data row83 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row83_col3\" class=\"data row83 col3\" >True</td>\n",
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-       "                                <td id=\"T_c1bb2_row84_col0\" class=\"data row84 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row84_col1\" class=\"data row84 col1\" >16/09/11</td>\n",
-       "                        <td id=\"T_c1bb2_row84_col2\" class=\"data row84 col2\" >$ 1514259.78</td>\n",
-       "                        <td id=\"T_c1bb2_row84_col3\" class=\"data row84 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row84_col4\" class=\"data row84 col4\" >79.94º</td>\n",
+       "                                <td id=\"T_3ad6f_row84_col0\" class=\"data row84 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row84_col1\" class=\"data row84 col1\" >16/09/11</td>\n",
+       "                        <td id=\"T_3ad6f_row84_col2\" class=\"data row84 col2\" >$ 1514259.78</td>\n",
+       "                        <td id=\"T_3ad6f_row84_col3\" class=\"data row84 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row84_col4\" class=\"data row84 col4\" >79.94º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row85_col0\" class=\"data row85 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row85_col1\" class=\"data row85 col1\" >23/09/11</td>\n",
-       "                        <td id=\"T_c1bb2_row85_col2\" class=\"data row85 col2\" >$ 1380020.27</td>\n",
-       "                        <td id=\"T_c1bb2_row85_col3\" class=\"data row85 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row85_col4\" class=\"data row85 col4\" >75.80º</td>\n",
+       "                                <td id=\"T_3ad6f_row85_col0\" class=\"data row85 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row85_col1\" class=\"data row85 col1\" >23/09/11</td>\n",
+       "                        <td id=\"T_3ad6f_row85_col2\" class=\"data row85 col2\" >$ 1380020.27</td>\n",
+       "                        <td id=\"T_3ad6f_row85_col3\" class=\"data row85 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row85_col4\" class=\"data row85 col4\" >75.80º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row86_col0\" class=\"data row86 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row86_col1\" class=\"data row86 col1\" >30/09/11</td>\n",
-       "                        <td id=\"T_c1bb2_row86_col2\" class=\"data row86 col2\" >$ 1394561.83</td>\n",
-       "                        <td id=\"T_c1bb2_row86_col3\" class=\"data row86 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row86_col4\" class=\"data row86 col4\" >79.69º</td>\n",
+       "                                <td id=\"T_3ad6f_row86_col0\" class=\"data row86 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row86_col1\" class=\"data row86 col1\" >30/09/11</td>\n",
+       "                        <td id=\"T_3ad6f_row86_col2\" class=\"data row86 col2\" >$ 1394561.83</td>\n",
+       "                        <td id=\"T_3ad6f_row86_col3\" class=\"data row86 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row86_col4\" class=\"data row86 col4\" >79.69º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row87_col0\" class=\"data row87 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row87_col1\" class=\"data row87 col1\" >10/07/11</td>\n",
-       "                        <td id=\"T_c1bb2_row87_col2\" class=\"data row87 col2\" >$ 1630989.95</td>\n",
-       "                        <td id=\"T_c1bb2_row87_col3\" class=\"data row87 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row87_col4\" class=\"data row87 col4\" >69.31º</td>\n",
+       "                                <td id=\"T_3ad6f_row87_col0\" class=\"data row87 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row87_col1\" class=\"data row87 col1\" >10/07/11</td>\n",
+       "                        <td id=\"T_3ad6f_row87_col2\" class=\"data row87 col2\" >$ 1630989.95</td>\n",
+       "                        <td id=\"T_3ad6f_row87_col3\" class=\"data row87 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row87_col4\" class=\"data row87 col4\" >69.31º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row88_col0\" class=\"data row88 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row88_col1\" class=\"data row88 col1\" >14/10/11</td>\n",
-       "                        <td id=\"T_c1bb2_row88_col2\" class=\"data row88 col2\" >$ 1493525.93</td>\n",
-       "                        <td id=\"T_c1bb2_row88_col3\" class=\"data row88 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row88_col4\" class=\"data row88 col4\" >71.74º</td>\n",
+       "                                <td id=\"T_3ad6f_row88_col0\" class=\"data row88 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row88_col1\" class=\"data row88 col1\" >14/10/11</td>\n",
+       "                        <td id=\"T_3ad6f_row88_col2\" class=\"data row88 col2\" >$ 1493525.93</td>\n",
+       "                        <td id=\"T_3ad6f_row88_col3\" class=\"data row88 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row88_col4\" class=\"data row88 col4\" >71.74º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row89_col0\" class=\"data row89 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row89_col1\" class=\"data row89 col1\" >21/10/11</td>\n",
-       "                        <td id=\"T_c1bb2_row89_col2\" class=\"data row89 col2\" >$ 1502562.78</td>\n",
-       "                        <td id=\"T_c1bb2_row89_col3\" class=\"data row89 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row89_col4\" class=\"data row89 col4\" >63.71º</td>\n",
+       "                                <td id=\"T_3ad6f_row89_col0\" class=\"data row89 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row89_col1\" class=\"data row89 col1\" >21/10/11</td>\n",
+       "                        <td id=\"T_3ad6f_row89_col2\" class=\"data row89 col2\" >$ 1502562.78</td>\n",
+       "                        <td id=\"T_3ad6f_row89_col3\" class=\"data row89 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row89_col4\" class=\"data row89 col4\" >63.71º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row90_col0\" class=\"data row90 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row90_col1\" class=\"data row90 col1\" >28/10/11</td>\n",
-       "                        <td id=\"T_c1bb2_row90_col2\" class=\"data row90 col2\" >$ 1445249.09</td>\n",
-       "                        <td id=\"T_c1bb2_row90_col3\" class=\"data row90 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row90_col4\" class=\"data row90 col4\" >66.57º</td>\n",
+       "                                <td id=\"T_3ad6f_row90_col0\" class=\"data row90 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row90_col1\" class=\"data row90 col1\" >28/10/11</td>\n",
+       "                        <td id=\"T_3ad6f_row90_col2\" class=\"data row90 col2\" >$ 1445249.09</td>\n",
+       "                        <td id=\"T_3ad6f_row90_col3\" class=\"data row90 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row90_col4\" class=\"data row90 col4\" >66.57º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row91_col0\" class=\"data row91 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row91_col1\" class=\"data row91 col1\" >11/04/11</td>\n",
-       "                        <td id=\"T_c1bb2_row91_col2\" class=\"data row91 col2\" >$ 1697229.58</td>\n",
-       "                        <td id=\"T_c1bb2_row91_col3\" class=\"data row91 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row91_col4\" class=\"data row91 col4\" >54.98º</td>\n",
+       "                                <td id=\"T_3ad6f_row91_col0\" class=\"data row91 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row91_col1\" class=\"data row91 col1\" >11/04/11</td>\n",
+       "                        <td id=\"T_3ad6f_row91_col2\" class=\"data row91 col2\" >$ 1697229.58</td>\n",
+       "                        <td id=\"T_3ad6f_row91_col3\" class=\"data row91 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row91_col4\" class=\"data row91 col4\" >54.98º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row92_col0\" class=\"data row92 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row92_col1\" class=\"data row92 col1\" >11/11/11</td>\n",
-       "                        <td id=\"T_c1bb2_row92_col2\" class=\"data row92 col2\" >$ 1594938.89</td>\n",
-       "                        <td id=\"T_c1bb2_row92_col3\" class=\"data row92 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row92_col4\" class=\"data row92 col4\" >59.11º</td>\n",
+       "                                <td id=\"T_3ad6f_row92_col0\" class=\"data row92 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row92_col1\" class=\"data row92 col1\" >11/11/11</td>\n",
+       "                        <td id=\"T_3ad6f_row92_col2\" class=\"data row92 col2\" >$ 1594938.89</td>\n",
+       "                        <td id=\"T_3ad6f_row92_col3\" class=\"data row92 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row92_col4\" class=\"data row92 col4\" >59.11º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row93_col0\" class=\"data row93 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row93_col1\" class=\"data row93 col1\" >18/11/11</td>\n",
-       "                        <td id=\"T_c1bb2_row93_col2\" class=\"data row93 col2\" >$ 1539483.70</td>\n",
-       "                        <td id=\"T_c1bb2_row93_col3\" class=\"data row93 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row93_col4\" class=\"data row93 col4\" >62.25º</td>\n",
+       "                                <td id=\"T_3ad6f_row93_col0\" class=\"data row93 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row93_col1\" class=\"data row93 col1\" >18/11/11</td>\n",
+       "                        <td id=\"T_3ad6f_row93_col2\" class=\"data row93 col2\" >$ 1539483.70</td>\n",
+       "                        <td id=\"T_3ad6f_row93_col3\" class=\"data row93 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row93_col4\" class=\"data row93 col4\" >62.25º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row94_col0\" class=\"data row94 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row94_col1\" class=\"data row94 col1\" >25/11/11</td>\n",
-       "                        <td id=\"T_c1bb2_row94_col2\" class=\"data row94 col2\" >$ 2033320.66</td>\n",
-       "                        <td id=\"T_c1bb2_row94_col3\" class=\"data row94 col3\" >True</td>\n",
-       "                        <td id=\"T_c1bb2_row94_col4\" class=\"data row94 col4\" >60.14º</td>\n",
+       "                                <td id=\"T_3ad6f_row94_col0\" class=\"data row94 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row94_col1\" class=\"data row94 col1\" >25/11/11</td>\n",
+       "                        <td id=\"T_3ad6f_row94_col2\" class=\"data row94 col2\" >$ 2033320.66</td>\n",
+       "                        <td id=\"T_3ad6f_row94_col3\" class=\"data row94 col3\" >True</td>\n",
+       "                        <td id=\"T_3ad6f_row94_col4\" class=\"data row94 col4\" >60.14º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row95_col0\" class=\"data row95 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row95_col1\" class=\"data row95 col1\" >12/02/11</td>\n",
-       "                        <td id=\"T_c1bb2_row95_col2\" class=\"data row95 col2\" >$ 1584083.95</td>\n",
-       "                        <td id=\"T_c1bb2_row95_col3\" class=\"data row95 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row95_col4\" class=\"data row95 col4\" >48.91º</td>\n",
+       "                                <td id=\"T_3ad6f_row95_col0\" class=\"data row95 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row95_col1\" class=\"data row95 col1\" >12/02/11</td>\n",
+       "                        <td id=\"T_3ad6f_row95_col2\" class=\"data row95 col2\" >$ 1584083.95</td>\n",
+       "                        <td id=\"T_3ad6f_row95_col3\" class=\"data row95 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row95_col4\" class=\"data row95 col4\" >48.91º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row96_col0\" class=\"data row96 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row96_col1\" class=\"data row96 col1\" >12/09/11</td>\n",
-       "                        <td id=\"T_c1bb2_row96_col2\" class=\"data row96 col2\" >$ 1799682.38</td>\n",
-       "                        <td id=\"T_c1bb2_row96_col3\" class=\"data row96 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row96_col4\" class=\"data row96 col4\" >43.93º</td>\n",
+       "                                <td id=\"T_3ad6f_row96_col0\" class=\"data row96 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row96_col1\" class=\"data row96 col1\" >12/09/11</td>\n",
+       "                        <td id=\"T_3ad6f_row96_col2\" class=\"data row96 col2\" >$ 1799682.38</td>\n",
+       "                        <td id=\"T_3ad6f_row96_col3\" class=\"data row96 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row96_col4\" class=\"data row96 col4\" >43.93º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row97_col0\" class=\"data row97 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row97_col1\" class=\"data row97 col1\" >16/12/11</td>\n",
-       "                        <td id=\"T_c1bb2_row97_col2\" class=\"data row97 col2\" >$ 1881176.67</td>\n",
-       "                        <td id=\"T_c1bb2_row97_col3\" class=\"data row97 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row97_col4\" class=\"data row97 col4\" >51.63º</td>\n",
+       "                                <td id=\"T_3ad6f_row97_col0\" class=\"data row97 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row97_col1\" class=\"data row97 col1\" >16/12/11</td>\n",
+       "                        <td id=\"T_3ad6f_row97_col2\" class=\"data row97 col2\" >$ 1881176.67</td>\n",
+       "                        <td id=\"T_3ad6f_row97_col3\" class=\"data row97 col3\" >False</td>\n",
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        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row98_col0\" class=\"data row98 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row98_col1\" class=\"data row98 col1\" >23/12/11</td>\n",
-       "                        <td id=\"T_c1bb2_row98_col2\" class=\"data row98 col2\" >$ 2270188.99</td>\n",
-       "                        <td id=\"T_c1bb2_row98_col3\" class=\"data row98 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row98_col4\" class=\"data row98 col4\" >47.96º</td>\n",
+       "                                <td id=\"T_3ad6f_row98_col0\" class=\"data row98 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row98_col1\" class=\"data row98 col1\" >23/12/11</td>\n",
+       "                        <td id=\"T_3ad6f_row98_col2\" class=\"data row98 col2\" >$ 2270188.99</td>\n",
+       "                        <td id=\"T_3ad6f_row98_col3\" class=\"data row98 col3\" >False</td>\n",
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        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row99_col0\" class=\"data row99 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row99_col1\" class=\"data row99 col1\" >30/12/11</td>\n",
-       "                        <td id=\"T_c1bb2_row99_col2\" class=\"data row99 col2\" >$ 1497462.72</td>\n",
-       "                        <td id=\"T_c1bb2_row99_col3\" class=\"data row99 col3\" >True</td>\n",
-       "                        <td id=\"T_c1bb2_row99_col4\" class=\"data row99 col4\" >44.55º</td>\n",
+       "                                <td id=\"T_3ad6f_row99_col0\" class=\"data row99 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row99_col1\" class=\"data row99 col1\" >30/12/11</td>\n",
+       "                        <td id=\"T_3ad6f_row99_col2\" class=\"data row99 col2\" >$ 1497462.72</td>\n",
+       "                        <td id=\"T_3ad6f_row99_col3\" class=\"data row99 col3\" >True</td>\n",
+       "                        <td id=\"T_3ad6f_row99_col4\" class=\"data row99 col4\" >44.55º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row100_col0\" class=\"data row100 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row100_col1\" class=\"data row100 col1\" >01/06/12</td>\n",
-       "                        <td id=\"T_c1bb2_row100_col2\" class=\"data row100 col2\" >$ 1550369.92</td>\n",
-       "                        <td id=\"T_c1bb2_row100_col3\" class=\"data row100 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row100_col4\" class=\"data row100 col4\" >49.01º</td>\n",
+       "                                <td id=\"T_3ad6f_row100_col0\" class=\"data row100 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row100_col1\" class=\"data row100 col1\" >01/06/12</td>\n",
+       "                        <td id=\"T_3ad6f_row100_col2\" class=\"data row100 col2\" >$ 1550369.92</td>\n",
+       "                        <td id=\"T_3ad6f_row100_col3\" class=\"data row100 col3\" >False</td>\n",
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        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row101_col0\" class=\"data row101 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row101_col1\" class=\"data row101 col1\" >13/01/12</td>\n",
-       "                        <td id=\"T_c1bb2_row101_col2\" class=\"data row101 col2\" >$ 1459601.17</td>\n",
-       "                        <td id=\"T_c1bb2_row101_col3\" class=\"data row101 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row101_col4\" class=\"data row101 col4\" >48.53º</td>\n",
+       "                                <td id=\"T_3ad6f_row101_col0\" class=\"data row101 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row101_col1\" class=\"data row101 col1\" >13/01/12</td>\n",
+       "                        <td id=\"T_3ad6f_row101_col2\" class=\"data row101 col2\" >$ 1459601.17</td>\n",
+       "                        <td id=\"T_3ad6f_row101_col3\" class=\"data row101 col3\" >False</td>\n",
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        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row102_col0\" class=\"data row102 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row102_col1\" class=\"data row102 col1\" >20/01/12</td>\n",
-       "                        <td id=\"T_c1bb2_row102_col2\" class=\"data row102 col2\" >$ 1394393.84</td>\n",
-       "                        <td id=\"T_c1bb2_row102_col3\" class=\"data row102 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row102_col4\" class=\"data row102 col4\" >54.11º</td>\n",
+       "                                <td id=\"T_3ad6f_row102_col0\" class=\"data row102 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row102_col1\" class=\"data row102 col1\" >20/01/12</td>\n",
+       "                        <td id=\"T_3ad6f_row102_col2\" class=\"data row102 col2\" >$ 1394393.84</td>\n",
+       "                        <td id=\"T_3ad6f_row102_col3\" class=\"data row102 col3\" >False</td>\n",
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        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row103_col0\" class=\"data row103 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row103_col1\" class=\"data row103 col1\" >27/01/12</td>\n",
-       "                        <td id=\"T_c1bb2_row103_col2\" class=\"data row103 col2\" >$ 1319325.59</td>\n",
-       "                        <td id=\"T_c1bb2_row103_col3\" class=\"data row103 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row103_col4\" class=\"data row103 col4\" >54.26º</td>\n",
+       "                                <td id=\"T_3ad6f_row103_col0\" class=\"data row103 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row103_col1\" class=\"data row103 col1\" >27/01/12</td>\n",
+       "                        <td id=\"T_3ad6f_row103_col2\" class=\"data row103 col2\" >$ 1319325.59</td>\n",
+       "                        <td id=\"T_3ad6f_row103_col3\" class=\"data row103 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row103_col4\" class=\"data row103 col4\" >54.26º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row104_col0\" class=\"data row104 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row104_col1\" class=\"data row104 col1\" >02/03/12</td>\n",
-       "                        <td id=\"T_c1bb2_row104_col2\" class=\"data row104 col2\" >$ 1636339.65</td>\n",
-       "                        <td id=\"T_c1bb2_row104_col3\" class=\"data row104 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row104_col4\" class=\"data row104 col4\" >56.55º</td>\n",
+       "                                <td id=\"T_3ad6f_row104_col0\" class=\"data row104 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row104_col1\" class=\"data row104 col1\" >02/03/12</td>\n",
+       "                        <td id=\"T_3ad6f_row104_col2\" class=\"data row104 col2\" >$ 1636339.65</td>\n",
+       "                        <td id=\"T_3ad6f_row104_col3\" class=\"data row104 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row104_col4\" class=\"data row104 col4\" >56.55º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row105_col0\" class=\"data row105 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row105_col1\" class=\"data row105 col1\" >02/10/12</td>\n",
-       "                        <td id=\"T_c1bb2_row105_col2\" class=\"data row105 col2\" >$ 1802477.43</td>\n",
-       "                        <td id=\"T_c1bb2_row105_col3\" class=\"data row105 col3\" >True</td>\n",
-       "                        <td id=\"T_c1bb2_row105_col4\" class=\"data row105 col4\" >48.02º</td>\n",
+       "                                <td id=\"T_3ad6f_row105_col0\" class=\"data row105 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row105_col1\" class=\"data row105 col1\" >02/10/12</td>\n",
+       "                        <td id=\"T_3ad6f_row105_col2\" class=\"data row105 col2\" >$ 1802477.43</td>\n",
+       "                        <td id=\"T_3ad6f_row105_col3\" class=\"data row105 col3\" >True</td>\n",
+       "                        <td id=\"T_3ad6f_row105_col4\" class=\"data row105 col4\" >48.02º</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row106_col0\" class=\"data row106 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row106_col1\" class=\"data row106 col1\" >17/02/12</td>\n",
-       "                        <td id=\"T_c1bb2_row106_col2\" class=\"data row106 col2\" >$ 1819870.00</td>\n",
-       "                        <td id=\"T_c1bb2_row106_col3\" class=\"data row106 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row106_col4\" class=\"data row106 col4\" >45.32º</td>\n",
+       "                                <td id=\"T_3ad6f_row106_col0\" class=\"data row106 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row106_col1\" class=\"data row106 col1\" >17/02/12</td>\n",
+       "                        <td id=\"T_3ad6f_row106_col2\" class=\"data row106 col2\" >$ 1819870.00</td>\n",
+       "                        <td id=\"T_3ad6f_row106_col3\" class=\"data row106 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row106_col4\" class=\"data row106 col4\" >45.32º</td>\n",
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-       "                                <td id=\"T_c1bb2_row107_col0\" class=\"data row107 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row107_col1\" class=\"data row107 col1\" >24/02/12</td>\n",
-       "                        <td id=\"T_c1bb2_row107_col2\" class=\"data row107 col2\" >$ 1539387.83</td>\n",
-       "                        <td id=\"T_c1bb2_row107_col3\" class=\"data row107 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row107_col4\" class=\"data row107 col4\" >57.25º</td>\n",
+       "                                <td id=\"T_3ad6f_row107_col0\" class=\"data row107 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row107_col1\" class=\"data row107 col1\" >24/02/12</td>\n",
+       "                        <td id=\"T_3ad6f_row107_col2\" class=\"data row107 col2\" >$ 1539387.83</td>\n",
+       "                        <td id=\"T_3ad6f_row107_col3\" class=\"data row107 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row107_col4\" class=\"data row107 col4\" >57.25º</td>\n",
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-       "                                <td id=\"T_c1bb2_row108_col0\" class=\"data row108 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row108_col1\" class=\"data row108 col1\" >03/02/12</td>\n",
-       "                        <td id=\"T_c1bb2_row108_col2\" class=\"data row108 col2\" >$ 1688420.76</td>\n",
-       "                        <td id=\"T_c1bb2_row108_col3\" class=\"data row108 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row108_col4\" class=\"data row108 col4\" >60.96º</td>\n",
+       "                                <td id=\"T_3ad6f_row108_col0\" class=\"data row108 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row108_col1\" class=\"data row108 col1\" >03/02/12</td>\n",
+       "                        <td id=\"T_3ad6f_row108_col2\" class=\"data row108 col2\" >$ 1688420.76</td>\n",
+       "                        <td id=\"T_3ad6f_row108_col3\" class=\"data row108 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row108_col4\" class=\"data row108 col4\" >60.96º</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row109_col0\" class=\"data row109 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row109_col1\" class=\"data row109 col1\" >03/09/12</td>\n",
-       "                        <td id=\"T_c1bb2_row109_col2\" class=\"data row109 col2\" >$ 1675431.16</td>\n",
-       "                        <td id=\"T_c1bb2_row109_col3\" class=\"data row109 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row109_col4\" class=\"data row109 col4\" >58.76º</td>\n",
+       "                                <td id=\"T_3ad6f_row109_col0\" class=\"data row109 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row109_col1\" class=\"data row109 col1\" >03/09/12</td>\n",
+       "                        <td id=\"T_3ad6f_row109_col2\" class=\"data row109 col2\" >$ 1675431.16</td>\n",
+       "                        <td id=\"T_3ad6f_row109_col3\" class=\"data row109 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row109_col4\" class=\"data row109 col4\" >58.76º</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row110_col0\" class=\"data row110 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row110_col1\" class=\"data row110 col1\" >16/03/12</td>\n",
-       "                        <td id=\"T_c1bb2_row110_col2\" class=\"data row110 col2\" >$ 1677472.78</td>\n",
-       "                        <td id=\"T_c1bb2_row110_col3\" class=\"data row110 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row110_col4\" class=\"data row110 col4\" >64.74º</td>\n",
+       "                                <td id=\"T_3ad6f_row110_col0\" class=\"data row110 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row110_col1\" class=\"data row110 col1\" >16/03/12</td>\n",
+       "                        <td id=\"T_3ad6f_row110_col2\" class=\"data row110 col2\" >$ 1677472.78</td>\n",
+       "                        <td id=\"T_3ad6f_row110_col3\" class=\"data row110 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row110_col4\" class=\"data row110 col4\" >64.74º</td>\n",
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-       "                                <td id=\"T_c1bb2_row111_col0\" class=\"data row111 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row111_col1\" class=\"data row111 col1\" >23/03/12</td>\n",
-       "                        <td id=\"T_c1bb2_row111_col2\" class=\"data row111 col2\" >$ 1511068.07</td>\n",
-       "                        <td id=\"T_c1bb2_row111_col3\" class=\"data row111 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row111_col4\" class=\"data row111 col4\" >65.93º</td>\n",
+       "                                <td id=\"T_3ad6f_row111_col0\" class=\"data row111 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row111_col1\" class=\"data row111 col1\" >23/03/12</td>\n",
+       "                        <td id=\"T_3ad6f_row111_col2\" class=\"data row111 col2\" >$ 1511068.07</td>\n",
+       "                        <td id=\"T_3ad6f_row111_col3\" class=\"data row111 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row111_col4\" class=\"data row111 col4\" >65.93º</td>\n",
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-       "                                <td id=\"T_c1bb2_row112_col0\" class=\"data row112 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row112_col1\" class=\"data row112 col1\" >30/03/12</td>\n",
-       "                        <td id=\"T_c1bb2_row112_col2\" class=\"data row112 col2\" >$ 1649604.63</td>\n",
-       "                        <td id=\"T_c1bb2_row112_col3\" class=\"data row112 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row112_col4\" class=\"data row112 col4\" >67.61º</td>\n",
+       "                                <td id=\"T_3ad6f_row112_col0\" class=\"data row112 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row112_col1\" class=\"data row112 col1\" >30/03/12</td>\n",
+       "                        <td id=\"T_3ad6f_row112_col2\" class=\"data row112 col2\" >$ 1649604.63</td>\n",
+       "                        <td id=\"T_3ad6f_row112_col3\" class=\"data row112 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row112_col4\" class=\"data row112 col4\" >67.61º</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row113_col0\" class=\"data row113 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row113_col1\" class=\"data row113 col1\" >04/06/12</td>\n",
-       "                        <td id=\"T_c1bb2_row113_col2\" class=\"data row113 col2\" >$ 1899676.88</td>\n",
-       "                        <td id=\"T_c1bb2_row113_col3\" class=\"data row113 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row113_col4\" class=\"data row113 col4\" >70.43º</td>\n",
+       "                                <td id=\"T_3ad6f_row113_col0\" class=\"data row113 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row113_col1\" class=\"data row113 col1\" >04/06/12</td>\n",
+       "                        <td id=\"T_3ad6f_row113_col2\" class=\"data row113 col2\" >$ 1899676.88</td>\n",
+       "                        <td id=\"T_3ad6f_row113_col3\" class=\"data row113 col3\" >False</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row114_col0\" class=\"data row114 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row114_col1\" class=\"data row114 col1\" >13/04/12</td>\n",
-       "                        <td id=\"T_c1bb2_row114_col2\" class=\"data row114 col2\" >$ 1621031.70</td>\n",
-       "                        <td id=\"T_c1bb2_row114_col3\" class=\"data row114 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row114_col4\" class=\"data row114 col4\" >69.07º</td>\n",
+       "                                <td id=\"T_3ad6f_row114_col0\" class=\"data row114 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row114_col1\" class=\"data row114 col1\" >13/04/12</td>\n",
+       "                        <td id=\"T_3ad6f_row114_col2\" class=\"data row114 col2\" >$ 1621031.70</td>\n",
+       "                        <td id=\"T_3ad6f_row114_col3\" class=\"data row114 col3\" >False</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row115_col0\" class=\"data row115 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row115_col1\" class=\"data row115 col1\" >20/04/12</td>\n",
-       "                        <td id=\"T_c1bb2_row115_col2\" class=\"data row115 col2\" >$ 1521577.87</td>\n",
-       "                        <td id=\"T_c1bb2_row115_col3\" class=\"data row115 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row115_col4\" class=\"data row115 col4\" >66.76º</td>\n",
+       "                                <td id=\"T_3ad6f_row115_col0\" class=\"data row115 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row115_col1\" class=\"data row115 col1\" >20/04/12</td>\n",
+       "                        <td id=\"T_3ad6f_row115_col2\" class=\"data row115 col2\" >$ 1521577.87</td>\n",
+       "                        <td id=\"T_3ad6f_row115_col3\" class=\"data row115 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row116_col0\" class=\"data row116 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row116_col1\" class=\"data row116 col1\" >27/04/12</td>\n",
-       "                        <td id=\"T_c1bb2_row116_col2\" class=\"data row116 col2\" >$ 1468928.37</td>\n",
-       "                        <td id=\"T_c1bb2_row116_col3\" class=\"data row116 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row116_col4\" class=\"data row116 col4\" >67.23º</td>\n",
+       "                                <td id=\"T_3ad6f_row116_col0\" class=\"data row116 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row116_col1\" class=\"data row116 col1\" >27/04/12</td>\n",
+       "                        <td id=\"T_3ad6f_row116_col2\" class=\"data row116 col2\" >$ 1468928.37</td>\n",
+       "                        <td id=\"T_3ad6f_row116_col3\" class=\"data row116 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row117_col0\" class=\"data row117 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row117_col1\" class=\"data row117 col1\" >05/04/12</td>\n",
-       "                        <td id=\"T_c1bb2_row117_col2\" class=\"data row117 col2\" >$ 1684519.99</td>\n",
-       "                        <td id=\"T_c1bb2_row117_col3\" class=\"data row117 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row117_col4\" class=\"data row117 col4\" >75.55º</td>\n",
+       "                                <td id=\"T_3ad6f_row117_col0\" class=\"data row117 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row117_col3\" class=\"data row117 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row118_col0\" class=\"data row118 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row118_col1\" class=\"data row118 col1\" >05/11/12</td>\n",
-       "                        <td id=\"T_c1bb2_row118_col2\" class=\"data row118 col2\" >$ 1611096.05</td>\n",
-       "                        <td id=\"T_c1bb2_row118_col3\" class=\"data row118 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row118_col4\" class=\"data row118 col4\" >73.77º</td>\n",
+       "                                <td id=\"T_3ad6f_row118_col0\" class=\"data row118 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row118_col3\" class=\"data row118 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row119_col0\" class=\"data row119 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row119_col1\" class=\"data row119 col1\" >18/05/12</td>\n",
-       "                        <td id=\"T_c1bb2_row119_col2\" class=\"data row119 col2\" >$ 1595901.87</td>\n",
-       "                        <td id=\"T_c1bb2_row119_col3\" class=\"data row119 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row119_col4\" class=\"data row119 col4\" >70.33º</td>\n",
+       "                                <td id=\"T_3ad6f_row119_col0\" class=\"data row119 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row119_col2\" class=\"data row119 col2\" >$ 1595901.87</td>\n",
+       "                        <td id=\"T_3ad6f_row119_col3\" class=\"data row119 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row120_col0\" class=\"data row120 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row120_col1\" class=\"data row120 col1\" >25/05/12</td>\n",
-       "                        <td id=\"T_c1bb2_row120_col2\" class=\"data row120 col2\" >$ 1555444.55</td>\n",
-       "                        <td id=\"T_c1bb2_row120_col3\" class=\"data row120 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row120_col4\" class=\"data row120 col4\" >77.22º</td>\n",
+       "                                <td id=\"T_3ad6f_row120_col0\" class=\"data row120 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row120_col2\" class=\"data row120 col2\" >$ 1555444.55</td>\n",
+       "                        <td id=\"T_3ad6f_row120_col3\" class=\"data row120 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row121_col0\" class=\"data row121 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row121_col1\" class=\"data row121 col1\" >06/01/12</td>\n",
-       "                        <td id=\"T_c1bb2_row121_col2\" class=\"data row121 col2\" >$ 1624477.58</td>\n",
-       "                        <td id=\"T_c1bb2_row121_col3\" class=\"data row121 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row121_col4\" class=\"data row121 col4\" >77.95º</td>\n",
+       "                                <td id=\"T_3ad6f_row121_col0\" class=\"data row121 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row121_col1\" class=\"data row121 col1\" >06/01/12</td>\n",
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+       "                        <td id=\"T_3ad6f_row121_col3\" class=\"data row121 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row122_col0\" class=\"data row122 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row122_col1\" class=\"data row122 col1\" >06/08/12</td>\n",
-       "                        <td id=\"T_c1bb2_row122_col2\" class=\"data row122 col2\" >$ 1697230.96</td>\n",
-       "                        <td id=\"T_c1bb2_row122_col3\" class=\"data row122 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row122_col4\" class=\"data row122 col4\" >78.30º</td>\n",
+       "                                <td id=\"T_3ad6f_row122_col0\" class=\"data row122 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row122_col1\" class=\"data row122 col1\" >06/08/12</td>\n",
+       "                        <td id=\"T_3ad6f_row122_col2\" class=\"data row122 col2\" >$ 1697230.96</td>\n",
+       "                        <td id=\"T_3ad6f_row122_col3\" class=\"data row122 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row122_col4\" class=\"data row122 col4\" >78.30º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row123_col0\" class=\"data row123 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row123_col1\" class=\"data row123 col1\" >15/06/12</td>\n",
-       "                        <td id=\"T_c1bb2_row123_col2\" class=\"data row123 col2\" >$ 1630607.00</td>\n",
-       "                        <td id=\"T_c1bb2_row123_col3\" class=\"data row123 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row123_col4\" class=\"data row123 col4\" >79.35º</td>\n",
+       "                                <td id=\"T_3ad6f_row123_col0\" class=\"data row123 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row123_col1\" class=\"data row123 col1\" >15/06/12</td>\n",
+       "                        <td id=\"T_3ad6f_row123_col2\" class=\"data row123 col2\" >$ 1630607.00</td>\n",
+       "                        <td id=\"T_3ad6f_row123_col3\" class=\"data row123 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row123_col4\" class=\"data row123 col4\" >79.35º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row124_col0\" class=\"data row124 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row124_col1\" class=\"data row124 col1\" >22/06/12</td>\n",
-       "                        <td id=\"T_c1bb2_row124_col2\" class=\"data row124 col2\" >$ 1527845.81</td>\n",
-       "                        <td id=\"T_c1bb2_row124_col3\" class=\"data row124 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row124_col4\" class=\"data row124 col4\" >78.39º</td>\n",
+       "                                <td id=\"T_3ad6f_row124_col0\" class=\"data row124 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row124_col1\" class=\"data row124 col1\" >22/06/12</td>\n",
+       "                        <td id=\"T_3ad6f_row124_col2\" class=\"data row124 col2\" >$ 1527845.81</td>\n",
+       "                        <td id=\"T_3ad6f_row124_col3\" class=\"data row124 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row124_col4\" class=\"data row124 col4\" >78.39º</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row125_col0\" class=\"data row125 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row125_col1\" class=\"data row125 col1\" >29/06/12</td>\n",
-       "                        <td id=\"T_c1bb2_row125_col2\" class=\"data row125 col2\" >$ 1540421.49</td>\n",
-       "                        <td id=\"T_c1bb2_row125_col3\" class=\"data row125 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row125_col4\" class=\"data row125 col4\" >84.88º</td>\n",
+       "                                <td id=\"T_3ad6f_row125_col0\" class=\"data row125 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row125_col1\" class=\"data row125 col1\" >29/06/12</td>\n",
+       "                        <td id=\"T_3ad6f_row125_col2\" class=\"data row125 col2\" >$ 1540421.49</td>\n",
+       "                        <td id=\"T_3ad6f_row125_col3\" class=\"data row125 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row125_col4\" class=\"data row125 col4\" >84.88º</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row126_col0\" class=\"data row126 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row126_col1\" class=\"data row126 col1\" >07/06/12</td>\n",
-       "                        <td id=\"T_c1bb2_row126_col2\" class=\"data row126 col2\" >$ 1769854.16</td>\n",
-       "                        <td id=\"T_c1bb2_row126_col3\" class=\"data row126 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row126_col4\" class=\"data row126 col4\" >81.57º</td>\n",
+       "                                <td id=\"T_3ad6f_row126_col0\" class=\"data row126 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row126_col1\" class=\"data row126 col1\" >07/06/12</td>\n",
+       "                        <td id=\"T_3ad6f_row126_col2\" class=\"data row126 col2\" >$ 1769854.16</td>\n",
+       "                        <td id=\"T_3ad6f_row126_col3\" class=\"data row126 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row126_col4\" class=\"data row126 col4\" >81.57º</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row127_col0\" class=\"data row127 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row127_col1\" class=\"data row127 col1\" >13/07/12</td>\n",
-       "                        <td id=\"T_c1bb2_row127_col2\" class=\"data row127 col2\" >$ 1527014.04</td>\n",
-       "                        <td id=\"T_c1bb2_row127_col3\" class=\"data row127 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row127_col4\" class=\"data row127 col4\" >77.12º</td>\n",
+       "                                <td id=\"T_3ad6f_row127_col0\" class=\"data row127 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row127_col1\" class=\"data row127 col1\" >13/07/12</td>\n",
+       "                        <td id=\"T_3ad6f_row127_col2\" class=\"data row127 col2\" >$ 1527014.04</td>\n",
+       "                        <td id=\"T_3ad6f_row127_col3\" class=\"data row127 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row127_col4\" class=\"data row127 col4\" >77.12º</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row128_col0\" class=\"data row128 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row128_col1\" class=\"data row128 col1\" >20/07/12</td>\n",
-       "                        <td id=\"T_c1bb2_row128_col2\" class=\"data row128 col2\" >$ 1497954.76</td>\n",
-       "                        <td id=\"T_c1bb2_row128_col3\" class=\"data row128 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row128_col4\" class=\"data row128 col4\" >80.42º</td>\n",
+       "                                <td id=\"T_3ad6f_row128_col0\" class=\"data row128 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row128_col1\" class=\"data row128 col1\" >20/07/12</td>\n",
+       "                        <td id=\"T_3ad6f_row128_col2\" class=\"data row128 col2\" >$ 1497954.76</td>\n",
+       "                        <td id=\"T_3ad6f_row128_col3\" class=\"data row128 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row128_col4\" class=\"data row128 col4\" >80.42º</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row129_col0\" class=\"data row129 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row129_col1\" class=\"data row129 col1\" >27/07/12</td>\n",
-       "                        <td id=\"T_c1bb2_row129_col2\" class=\"data row129 col2\" >$ 1439123.71</td>\n",
-       "                        <td id=\"T_c1bb2_row129_col3\" class=\"data row129 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row129_col4\" class=\"data row129 col4\" >82.66º</td>\n",
+       "                                <td id=\"T_3ad6f_row129_col0\" class=\"data row129 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row129_col1\" class=\"data row129 col1\" >27/07/12</td>\n",
+       "                        <td id=\"T_3ad6f_row129_col2\" class=\"data row129 col2\" >$ 1439123.71</td>\n",
+       "                        <td id=\"T_3ad6f_row129_col3\" class=\"data row129 col3\" >False</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row130_col0\" class=\"data row130 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row130_col1\" class=\"data row130 col1\" >08/03/12</td>\n",
-       "                        <td id=\"T_c1bb2_row130_col2\" class=\"data row130 col2\" >$ 1631135.79</td>\n",
-       "                        <td id=\"T_c1bb2_row130_col3\" class=\"data row130 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row130_col4\" class=\"data row130 col4\" >86.11º</td>\n",
+       "                                <td id=\"T_3ad6f_row130_col0\" class=\"data row130 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row130_col1\" class=\"data row130 col1\" >08/03/12</td>\n",
+       "                        <td id=\"T_3ad6f_row130_col2\" class=\"data row130 col2\" >$ 1631135.79</td>\n",
+       "                        <td id=\"T_3ad6f_row130_col3\" class=\"data row130 col3\" >False</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row131_col0\" class=\"data row131 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row131_col1\" class=\"data row131 col1\" >08/10/12</td>\n",
-       "                        <td id=\"T_c1bb2_row131_col2\" class=\"data row131 col2\" >$ 1592409.97</td>\n",
-       "                        <td id=\"T_c1bb2_row131_col3\" class=\"data row131 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row131_col4\" class=\"data row131 col4\" >85.05º</td>\n",
+       "                                <td id=\"T_3ad6f_row131_col0\" class=\"data row131 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row131_col1\" class=\"data row131 col1\" >08/10/12</td>\n",
+       "                        <td id=\"T_3ad6f_row131_col2\" class=\"data row131 col2\" >$ 1592409.97</td>\n",
+       "                        <td id=\"T_3ad6f_row131_col3\" class=\"data row131 col3\" >False</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row132_col0\" class=\"data row132 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row132_col1\" class=\"data row132 col1\" >17/08/12</td>\n",
-       "                        <td id=\"T_c1bb2_row132_col2\" class=\"data row132 col2\" >$ 1597868.05</td>\n",
-       "                        <td id=\"T_c1bb2_row132_col3\" class=\"data row132 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row132_col4\" class=\"data row132 col4\" >84.85º</td>\n",
+       "                                <td id=\"T_3ad6f_row132_col0\" class=\"data row132 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row132_col3\" class=\"data row132 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row133_col0\" class=\"data row133 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row133_col1\" class=\"data row133 col1\" >24/08/12</td>\n",
-       "                        <td id=\"T_c1bb2_row133_col2\" class=\"data row133 col2\" >$ 1494122.38</td>\n",
-       "                        <td id=\"T_c1bb2_row133_col3\" class=\"data row133 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row133_col4\" class=\"data row133 col4\" >77.66º</td>\n",
+       "                                <td id=\"T_3ad6f_row133_col0\" class=\"data row133 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row133_col1\" class=\"data row133 col1\" >24/08/12</td>\n",
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+       "                        <td id=\"T_3ad6f_row133_col3\" class=\"data row133 col3\" >False</td>\n",
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        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row134_col0\" class=\"data row134 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row134_col1\" class=\"data row134 col1\" >31/08/12</td>\n",
-       "                        <td id=\"T_c1bb2_row134_col2\" class=\"data row134 col2\" >$ 1582083.40</td>\n",
-       "                        <td id=\"T_c1bb2_row134_col3\" class=\"data row134 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row134_col4\" class=\"data row134 col4\" >80.49º</td>\n",
+       "                                <td id=\"T_3ad6f_row134_col0\" class=\"data row134 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row134_col3\" class=\"data row134 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row135_col0\" class=\"data row135 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row135_col1\" class=\"data row135 col1\" >09/07/12</td>\n",
-       "                        <td id=\"T_c1bb2_row135_col2\" class=\"data row135 col2\" >$ 1661767.33</td>\n",
-       "                        <td id=\"T_c1bb2_row135_col3\" class=\"data row135 col3\" >True</td>\n",
-       "                        <td id=\"T_c1bb2_row135_col4\" class=\"data row135 col4\" >83.96º</td>\n",
+       "                                <td id=\"T_3ad6f_row135_col0\" class=\"data row135 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row135_col3\" class=\"data row135 col3\" >True</td>\n",
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-       "                                <td id=\"T_c1bb2_row136_col0\" class=\"data row136 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row136_col1\" class=\"data row136 col1\" >14/09/12</td>\n",
-       "                        <td id=\"T_c1bb2_row136_col2\" class=\"data row136 col2\" >$ 1517428.87</td>\n",
-       "                        <td id=\"T_c1bb2_row136_col3\" class=\"data row136 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row136_col4\" class=\"data row136 col4\" >74.97º</td>\n",
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+       "                        <td id=\"T_3ad6f_row136_col3\" class=\"data row136 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row137_col0\" class=\"data row137 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row137_col1\" class=\"data row137 col1\" >21/09/12</td>\n",
-       "                        <td id=\"T_c1bb2_row137_col2\" class=\"data row137 col2\" >$ 1506126.06</td>\n",
-       "                        <td id=\"T_c1bb2_row137_col3\" class=\"data row137 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row137_col4\" class=\"data row137 col4\" >69.87º</td>\n",
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+       "                        <td id=\"T_3ad6f_row137_col3\" class=\"data row137 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row138_col0\" class=\"data row138 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row138_col1\" class=\"data row138 col1\" >28/09/12</td>\n",
-       "                        <td id=\"T_c1bb2_row138_col2\" class=\"data row138 col2\" >$ 1437059.26</td>\n",
-       "                        <td id=\"T_c1bb2_row138_col3\" class=\"data row138 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row138_col4\" class=\"data row138 col4\" >76.08º</td>\n",
+       "                                <td id=\"T_3ad6f_row138_col0\" class=\"data row138 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row138_col3\" class=\"data row138 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row139_col0\" class=\"data row139 col0\" >1</td>\n",
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-       "                        <td id=\"T_c1bb2_row139_col3\" class=\"data row139 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row139_col4\" class=\"data row139 col4\" >68.55º</td>\n",
+       "                                <td id=\"T_3ad6f_row139_col0\" class=\"data row139 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row139_col3\" class=\"data row139 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row140_col0\" class=\"data row140 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row140_col1\" class=\"data row140 col1\" >10/12/12</td>\n",
-       "                        <td id=\"T_c1bb2_row140_col2\" class=\"data row140 col2\" >$ 1573072.81</td>\n",
-       "                        <td id=\"T_c1bb2_row140_col3\" class=\"data row140 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row140_col4\" class=\"data row140 col4\" >62.99º</td>\n",
+       "                                <td id=\"T_3ad6f_row140_col0\" class=\"data row140 col0\" >1</td>\n",
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+       "                        <td id=\"T_3ad6f_row140_col3\" class=\"data row140 col3\" >False</td>\n",
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-       "                                <td id=\"T_c1bb2_row141_col0\" class=\"data row141 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row141_col1\" class=\"data row141 col1\" >19/10/12</td>\n",
-       "                        <td id=\"T_c1bb2_row141_col2\" class=\"data row141 col2\" >$ 1508068.77</td>\n",
-       "                        <td id=\"T_c1bb2_row141_col3\" class=\"data row141 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row141_col4\" class=\"data row141 col4\" >67.97º</td>\n",
+       "                                <td id=\"T_3ad6f_row141_col0\" class=\"data row141 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row141_col1\" class=\"data row141 col1\" >19/10/12</td>\n",
+       "                        <td id=\"T_3ad6f_row141_col2\" class=\"data row141 col2\" >$ 1508068.77</td>\n",
+       "                        <td id=\"T_3ad6f_row141_col3\" class=\"data row141 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row141_col4\" class=\"data row141 col4\" >67.97º</td>\n",
        "            </tr>\n",
        "            <tr>\n",
-       "                                <td id=\"T_c1bb2_row142_col0\" class=\"data row142 col0\" >1</td>\n",
-       "                        <td id=\"T_c1bb2_row142_col1\" class=\"data row142 col1\" >26/10/12</td>\n",
-       "                        <td id=\"T_c1bb2_row142_col2\" class=\"data row142 col2\" >$ 1493659.74</td>\n",
-       "                        <td id=\"T_c1bb2_row142_col3\" class=\"data row142 col3\" >False</td>\n",
-       "                        <td id=\"T_c1bb2_row142_col4\" class=\"data row142 col4\" >69.16º</td>\n",
+       "                                <td id=\"T_3ad6f_row142_col0\" class=\"data row142 col0\" >1</td>\n",
+       "                        <td id=\"T_3ad6f_row142_col1\" class=\"data row142 col1\" >26/10/12</td>\n",
+       "                        <td id=\"T_3ad6f_row142_col2\" class=\"data row142 col2\" >$ 1493659.74</td>\n",
+       "                        <td id=\"T_3ad6f_row142_col3\" class=\"data row142 col3\" >False</td>\n",
+       "                        <td id=\"T_3ad6f_row142_col4\" class=\"data row142 col4\" >69.16º</td>\n",
        "            </tr>\n",
        "    </tbody></table>"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x7f3b0abf3880>"
+       "<pandas.io.formats.style.Styler at 0x7f98ae0b17c0>"
       ]
      },
-     "execution_count": 84,
+     "execution_count": 87,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -11021,7 +11975,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 88,
    "id": "853e018a",
    "metadata": {},
    "outputs": [
@@ -11035,7 +11989,7 @@
        "dtype: float64"
       ]
      },
-     "execution_count": 85,
+     "execution_count": 88,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -11055,7 +12009,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 89,
    "id": "ece1205c",
    "metadata": {},
    "outputs": [
@@ -11070,7 +12024,7 @@
        "dtype: float64"
       ]
      },
-     "execution_count": 86,
+     "execution_count": 89,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -11090,7 +12044,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 90,
    "id": "0e721f47",
    "metadata": {},
    "outputs": [
@@ -11103,7 +12057,7 @@
        "dtype: object"
       ]
      },
-     "execution_count": 87,
+     "execution_count": 90,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -11115,7 +12069,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 91,
    "id": "d6a39673",
    "metadata": {},
    "outputs": [
@@ -11131,7 +12085,7 @@
        "dtype: object"
       ]
      },
-     "execution_count": 88,
+     "execution_count": 91,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -11142,7 +12096,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 92,
    "id": "2eabaf79",
    "metadata": {},
    "outputs": [
@@ -11158,7 +12112,7 @@
        "dtype: object"
       ]
      },
-     "execution_count": 89,
+     "execution_count": 92,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -11177,7 +12131,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 93,
    "id": "ed1716ee",
    "metadata": {},
    "outputs": [
@@ -11237,7 +12191,7 @@
        "d     6      7           8"
       ]
      },
-     "execution_count": 90,
+     "execution_count": 93,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -11251,7 +12205,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
+   "execution_count": 94,
    "id": "46269014",
    "metadata": {},
    "outputs": [
@@ -11318,7 +12272,7 @@
        "d   6.0    7.0         8.0"
       ]
      },
-     "execution_count": 91,
+     "execution_count": 94,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -11330,7 +12284,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 95,
    "id": "9d64e0d3",
    "metadata": {},
    "outputs": [
@@ -11390,7 +12344,7 @@
        "d      7   NaN           8"
       ]
      },
-     "execution_count": 92,
+     "execution_count": 95,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -11410,7 +12364,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 96,
    "id": "b6ec2d79",
    "metadata": {},
    "outputs": [
@@ -11470,7 +12424,7 @@
        "M   Mary   F   Music,Reading"
       ]
      },
-     "execution_count": 93,
+     "execution_count": 96,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -11487,7 +12441,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 97,
    "id": "8d018ff4",
    "metadata": {},
    "outputs": [
@@ -11547,7 +12501,7 @@
        "M   Mary   F   [Music, Reading]"
       ]
      },
-     "execution_count": 94,
+     "execution_count": 97,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -11559,7 +12513,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 98,
    "id": "ae2e0edb",
    "metadata": {},
    "outputs": [
@@ -11640,7 +12594,7 @@
        "M   Mary   F  Reading"
       ]
      },
-     "execution_count": 95,
+     "execution_count": 98,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/03. Indexing, Merge, Concatenate, and Combine.html b/03. Indexing, Merge, Concatenate, and Combine.html
index 3aa662b..cc536ad 100644
--- a/03. Indexing, Merge, Concatenate, and Combine.html	
+++ b/03. Indexing, Merge, Concatenate, and Combine.html	
@@ -14272,7 +14272,7 @@
 
 <div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<h2><font color=green> Tratamento de dados: junção, combinação e reformatação</h2>
+<h2><font color=green> Tratamento de dados: indexação, junção, concatenação e combinação</h2>
 
 </div>
 </div>
@@ -14342,15 +14342,15 @@ <h3 id="Indexa&#231;&#227;o-Hier&#225;rquica">Indexa&#231;&#227;o Hier&#225;rqui
 
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>a  1    0.495730
-   2    0.419658
-   3    0.136879
-b  1    0.784125
-   3    0.405854
-c  1    0.971204
-   2    0.619552
-d  2    0.035013
-   3    0.496375
+<pre>a  1    0.005646
+   2    0.967006
+   3    0.260935
+b  1    0.492904
+   3    0.318336
+c  1    0.365956
+   2    0.111986
+d  2    0.592394
+   3    0.761145
 dtype: float64</pre>
 </div>
 
@@ -14450,8 +14450,8 @@ <h3 id="Indexa&#231;&#227;o-Hier&#225;rquica">Indexa&#231;&#227;o Hier&#225;rqui
 
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>1    0.784125
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+<pre>1    0.492904
+3    0.318336
 dtype: float64</pre>
 </div>
 
@@ -14489,10 +14489,10 @@ <h3 id="Indexa&#231;&#227;o-Hier&#225;rquica">Indexa&#231;&#227;o Hier&#225;rqui
 
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>b  1    0.784125
-   3    0.405854
-d  2    0.035013
-   3    0.496375
+<pre>b  1    0.492904
+   3    0.318336
+d  2    0.592394
+   3    0.761145
 dtype: float64</pre>
 </div>
 
@@ -14538,9 +14538,9 @@ <h3 id="Indexa&#231;&#227;o-Hier&#225;rquica">Indexa&#231;&#227;o Hier&#225;rqui
 
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>a    0.419658
-c    0.619552
-d    0.035013
+<pre>a    0.967006
+c    0.111986
+d    0.592394
 dtype: float64</pre>
 </div>
 
@@ -14612,27 +14612,27 @@ <h3 id="Indexa&#231;&#227;o-Hier&#225;rquica">Indexa&#231;&#227;o Hier&#225;rqui
   <tbody>
     <tr>
       <th>a</th>
-      <td>0.495730</td>
-      <td>0.419658</td>
-      <td>0.136879</td>
+      <td>0.005646</td>
+      <td>0.967006</td>
+      <td>0.260935</td>
     </tr>
     <tr>
       <th>b</th>
-      <td>0.784125</td>
+      <td>0.492904</td>
       <td>NaN</td>
-      <td>0.405854</td>
+      <td>0.318336</td>
     </tr>
     <tr>
       <th>c</th>
-      <td>0.971204</td>
-      <td>0.619552</td>
+      <td>0.365956</td>
+      <td>0.111986</td>
       <td>NaN</td>
     </tr>
     <tr>
       <th>d</th>
       <td>NaN</td>
-      <td>0.035013</td>
-      <td>0.496375</td>
+      <td>0.592394</td>
+      <td>0.761145</td>
     </tr>
   </tbody>
 </table>
@@ -19458,24 +19458,24 @@ <h3 id="Concatenando-ao-longo-de-um-eixo">Concatenando ao longo de um eixo<a cla
   <tbody>
     <tr>
       <th>0</th>
-      <td>0.793636</td>
-      <td>1.377189</td>
-      <td>-2.019517</td>
-      <td>-1.636774</td>
+      <td>-0.102494</td>
+      <td>-1.381333</td>
+      <td>0.283748</td>
+      <td>-0.250660</td>
     </tr>
     <tr>
       <th>1</th>
-      <td>-0.505208</td>
-      <td>-0.068062</td>
-      <td>0.109442</td>
-      <td>-1.789722</td>
+      <td>-2.248611</td>
+      <td>-0.992999</td>
+      <td>-0.188599</td>
+      <td>0.102097</td>
     </tr>
     <tr>
       <th>2</th>
-      <td>-0.534593</td>
-      <td>-0.196721</td>
-      <td>1.174847</td>
-      <td>0.035795</td>
+      <td>0.523714</td>
+      <td>-1.038862</td>
+      <td>0.722294</td>
+      <td>-1.517398</td>
     </tr>
   </tbody>
 </table>
@@ -19541,15 +19541,15 @@ <h3 id="Concatenando-ao-longo-de-um-eixo">Concatenando ao longo de um eixo<a cla
   <tbody>
     <tr>
       <th>0</th>
-      <td>1.068083</td>
-      <td>-1.226159</td>
-      <td>-0.104534</td>
+      <td>-0.160190</td>
+      <td>-1.452414</td>
+      <td>-2.336241</td>
     </tr>
     <tr>
       <th>1</th>
-      <td>0.744239</td>
-      <td>-0.305096</td>
-      <td>0.257395</td>
+      <td>0.353083</td>
+      <td>-0.136983</td>
+      <td>-1.020427</td>
     </tr>
   </tbody>
 </table>
@@ -19616,38 +19616,38 @@ <h3 id="Concatenando-ao-longo-de-um-eixo">Concatenando ao longo de um eixo<a cla
   <tbody>
     <tr>
       <th>0</th>
-      <td>0.793636</td>
-      <td>1.377189</td>
-      <td>-2.019517</td>
-      <td>-1.636774</td>
+      <td>-0.102494</td>
+      <td>-1.381333</td>
+      <td>0.283748</td>
+      <td>-0.250660</td>
     </tr>
     <tr>
       <th>1</th>
-      <td>-0.505208</td>
-      <td>-0.068062</td>
-      <td>0.109442</td>
-      <td>-1.789722</td>
+      <td>-2.248611</td>
+      <td>-0.992999</td>
+      <td>-0.188599</td>
+      <td>0.102097</td>
     </tr>
     <tr>
       <th>2</th>
-      <td>-0.534593</td>
-      <td>-0.196721</td>
-      <td>1.174847</td>
-      <td>0.035795</td>
+      <td>0.523714</td>
+      <td>-1.038862</td>
+      <td>0.722294</td>
+      <td>-1.517398</td>
     </tr>
     <tr>
       <th>3</th>
-      <td>-0.104534</td>
-      <td>1.068083</td>
+      <td>-2.336241</td>
+      <td>-0.160190</td>
       <td>NaN</td>
-      <td>-1.226159</td>
+      <td>-1.452414</td>
     </tr>
     <tr>
       <th>4</th>
-      <td>0.257395</td>
-      <td>0.744239</td>
+      <td>-1.020427</td>
+      <td>0.353083</td>
       <td>NaN</td>
-      <td>-0.305096</td>
+      <td>-0.136983</td>
     </tr>
   </tbody>
 </table>
@@ -20094,6 +20094,641 @@ <h3 id="Combinando-dados-com-sobreposi&#231;&#227;o">Combinando dados com sobrep
 
 </div>
 
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<h3 id="Reformatando-um-DataFrame">Reformatando um DataFrame<a class="anchor-link" href="#Reformatando-um-DataFrame">&#182;</a></h3>
+</div>
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<ul>
+<li>Podemos formatar um DataFrame fazendo com que valores se tornem coluna e vice-versa</li>
+</ul>
+
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[75]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_longo</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span>
+        <span class="s2">&quot;estudante&quot;</span><span class="p">:</span>
+            <span class="p">[</span><span class="s2">&quot;André&quot;</span><span class="p">,</span> <span class="s2">&quot;Bernardo&quot;</span><span class="p">,</span> <span class="s2">&quot;Cristina&quot;</span><span class="p">,</span> <span class="s2">&quot;Debóra&quot;</span><span class="p">,</span>
+             <span class="s2">&quot;André&quot;</span><span class="p">,</span> <span class="s2">&quot;Bernardo&quot;</span><span class="p">,</span> <span class="s2">&quot;Cristina&quot;</span><span class="p">,</span> <span class="s2">&quot;Debóra&quot;</span><span class="p">,</span>
+             <span class="s2">&quot;André&quot;</span><span class="p">,</span> <span class="s2">&quot;Bernardo&quot;</span><span class="p">,</span> <span class="s2">&quot;Cristina&quot;</span><span class="p">,</span> <span class="s2">&quot;Debóra&quot;</span><span class="p">],</span>
+        <span class="s2">&quot;escola&quot;</span><span class="p">:</span>
+            <span class="p">[</span><span class="s2">&quot;Z&quot;</span><span class="p">,</span> <span class="s2">&quot;Y&quot;</span><span class="p">,</span> <span class="s2">&quot;Z&quot;</span><span class="p">,</span> <span class="s2">&quot;Y&quot;</span><span class="p">,</span>
+             <span class="s2">&quot;Z&quot;</span><span class="p">,</span> <span class="s2">&quot;Y&quot;</span><span class="p">,</span> <span class="s2">&quot;Z&quot;</span><span class="p">,</span> <span class="s2">&quot;Y&quot;</span><span class="p">,</span>
+             <span class="s2">&quot;Z&quot;</span><span class="p">,</span> <span class="s2">&quot;Y&quot;</span><span class="p">,</span> <span class="s2">&quot;Z&quot;</span><span class="p">,</span> <span class="s2">&quot;Y&quot;</span><span class="p">],</span>
+        <span class="s2">&quot;matéria&quot;</span><span class="p">:</span>
+            <span class="p">[</span><span class="s2">&quot;inglês&quot;</span><span class="p">,</span> <span class="s2">&quot;inglês&quot;</span><span class="p">,</span> <span class="s2">&quot;inglês&quot;</span><span class="p">,</span> <span class="s2">&quot;inglês&quot;</span><span class="p">,</span>
+             <span class="s2">&quot;matemática&quot;</span><span class="p">,</span> <span class="s2">&quot;matemática&quot;</span><span class="p">,</span> <span class="s2">&quot;matemática&quot;</span><span class="p">,</span> <span class="s2">&quot;matemática&quot;</span><span class="p">,</span>
+             <span class="s2">&quot;física&quot;</span><span class="p">,</span> <span class="s2">&quot;física&quot;</span><span class="p">,</span> <span class="s2">&quot;física&quot;</span><span class="p">,</span> <span class="s2">&quot;física&quot;</span><span class="p">],</span>
+        <span class="s2">&quot;nota&quot;</span><span class="p">:</span>
+            <span class="p">[</span><span class="mi">10</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">1000</span><span class="p">,</span> <span class="mi">10000</span><span class="p">,</span>
+             <span class="mi">20</span><span class="p">,</span> <span class="mi">200</span><span class="p">,</span> <span class="mi">2000</span><span class="p">,</span> <span class="mi">20000</span><span class="p">,</span>
+             <span class="mi">50</span><span class="p">,</span> <span class="mi">500</span><span class="p">,</span> <span class="mi">5000</span><span class="p">,</span> <span class="mi">50000</span><span class="p">]</span>
+<span class="p">})</span>
+
+<span class="n">df_longo</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[75]:</div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>estudante</th>
+      <th>escola</th>
+      <th>matéria</th>
+      <th>nota</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>0</th>
+      <td>André</td>
+      <td>Z</td>
+      <td>inglês</td>
+      <td>10</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>Bernardo</td>
+      <td>Y</td>
+      <td>inglês</td>
+      <td>100</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>Cristina</td>
+      <td>Z</td>
+      <td>inglês</td>
+      <td>1000</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>Debóra</td>
+      <td>Y</td>
+      <td>inglês</td>
+      <td>10000</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>André</td>
+      <td>Z</td>
+      <td>matemática</td>
+      <td>20</td>
+    </tr>
+    <tr>
+      <th>5</th>
+      <td>Bernardo</td>
+      <td>Y</td>
+      <td>matemática</td>
+      <td>200</td>
+    </tr>
+    <tr>
+      <th>6</th>
+      <td>Cristina</td>
+      <td>Z</td>
+      <td>matemática</td>
+      <td>2000</td>
+    </tr>
+    <tr>
+      <th>7</th>
+      <td>Debóra</td>
+      <td>Y</td>
+      <td>matemática</td>
+      <td>20000</td>
+    </tr>
+    <tr>
+      <th>8</th>
+      <td>André</td>
+      <td>Z</td>
+      <td>física</td>
+      <td>50</td>
+    </tr>
+    <tr>
+      <th>9</th>
+      <td>Bernardo</td>
+      <td>Y</td>
+      <td>física</td>
+      <td>500</td>
+    </tr>
+    <tr>
+      <th>10</th>
+      <td>Cristina</td>
+      <td>Z</td>
+      <td>física</td>
+      <td>5000</td>
+    </tr>
+    <tr>
+      <th>11</th>
+      <td>Debóra</td>
+      <td>Y</td>
+      <td>física</td>
+      <td>50000</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<ul>
+<li>Tornando o DataFrame menos longo e mais amplo</li>
+</ul>
+
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[76]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_longo</span><span class="o">.</span><span class="n">pivot_table</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;estudante&quot;</span><span class="p">,</span> <span class="s2">&quot;escola&quot;</span><span class="p">],</span> 
+                    <span class="n">columns</span><span class="o">=</span><span class="s1">&#39;matéria&#39;</span><span class="p">,</span> 
+                    <span class="n">values</span><span class="o">=</span><span class="s1">&#39;nota&#39;</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[76]:</div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>matéria</th>
+      <th>física</th>
+      <th>inglês</th>
+      <th>matemática</th>
+    </tr>
+    <tr>
+      <th>estudante</th>
+      <th>escola</th>
+      <th></th>
+      <th></th>
+      <th></th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>André</th>
+      <th>Z</th>
+      <td>50</td>
+      <td>10</td>
+      <td>20</td>
+    </tr>
+    <tr>
+      <th>Bernardo</th>
+      <th>Y</th>
+      <td>500</td>
+      <td>100</td>
+      <td>200</td>
+    </tr>
+    <tr>
+      <th>Cristina</th>
+      <th>Z</th>
+      <td>5000</td>
+      <td>1000</td>
+      <td>2000</td>
+    </tr>
+    <tr>
+      <th>Debóra</th>
+      <th>Y</th>
+      <td>50000</td>
+      <td>10000</td>
+      <td>20000</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<ul>
+<li>Adicionando margens para com a soma dos valores por linhas e por colunas</li>
+</ul>
+
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[77]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_longo</span><span class="o">.</span><span class="n">pivot_table</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;estudante&quot;</span><span class="p">,</span> <span class="s2">&quot;escola&quot;</span><span class="p">],</span> 
+                    <span class="n">columns</span><span class="o">=</span><span class="s1">&#39;matéria&#39;</span><span class="p">,</span> 
+                    <span class="n">values</span><span class="o">=</span><span class="s1">&#39;nota&#39;</span><span class="p">,</span>
+                    <span class="n">margins</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>  <span class="c1"># add margins</span>
+                    <span class="n">aggfunc</span><span class="o">=</span><span class="s1">&#39;sum&#39;</span><span class="p">)</span>  <span class="c1"># sum margins (rows/columns)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[77]:</div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>matéria</th>
+      <th>física</th>
+      <th>inglês</th>
+      <th>matemática</th>
+      <th>All</th>
+    </tr>
+    <tr>
+      <th>estudante</th>
+      <th>escola</th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>André</th>
+      <th>Z</th>
+      <td>50</td>
+      <td>10</td>
+      <td>20</td>
+      <td>80</td>
+    </tr>
+    <tr>
+      <th>Bernardo</th>
+      <th>Y</th>
+      <td>500</td>
+      <td>100</td>
+      <td>200</td>
+      <td>800</td>
+    </tr>
+    <tr>
+      <th>Cristina</th>
+      <th>Z</th>
+      <td>5000</td>
+      <td>1000</td>
+      <td>2000</td>
+      <td>8000</td>
+    </tr>
+    <tr>
+      <th>Debóra</th>
+      <th>Y</th>
+      <td>50000</td>
+      <td>10000</td>
+      <td>20000</td>
+      <td>80000</td>
+    </tr>
+    <tr>
+      <th>All</th>
+      <th></th>
+      <td>55550</td>
+      <td>11110</td>
+      <td>22220</td>
+      <td>88880</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<ul>
+<li>Se o parâmetro columns não for especificado, serão apresentadas as médias de todas as colunas numéricas </li>
+</ul>
+
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[78]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_longo</span><span class="o">.</span><span class="n">pivot_table</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;estudante&quot;</span><span class="p">,</span> <span class="s2">&quot;escola&quot;</span><span class="p">])</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[78]:</div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th></th>
+      <th>nota</th>
+    </tr>
+    <tr>
+      <th>estudante</th>
+      <th>escola</th>
+      <th></th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>André</th>
+      <th>Z</th>
+      <td>26.666667</td>
+    </tr>
+    <tr>
+      <th>Bernardo</th>
+      <th>Y</th>
+      <td>266.666667</td>
+    </tr>
+    <tr>
+      <th>Cristina</th>
+      <th>Z</th>
+      <td>2666.666667</td>
+    </tr>
+    <tr>
+      <th>Debóra</th>
+      <th>Y</th>
+      <td>26666.666667</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<ul>
+<li>É possível também especificar o preenchemento dos valores faltantes </li>
+</ul>
+
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[79]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_longo</span><span class="o">.</span><span class="n">pivot_table</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="s2">&quot;estudante&quot;</span><span class="p">,</span> 
+                    <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;escola&#39;</span><span class="p">,</span> <span class="s1">&#39;matéria&#39;</span><span class="p">],</span> 
+                    <span class="n">values</span><span class="o">=</span><span class="s1">&#39;nota&#39;</span><span class="p">,</span> 
+                    <span class="n">fill_value</span><span class="o">=-</span><span class="mi">5</span><span class="p">)</span>  <span class="c1"># replace NaN with -5</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[79]:</div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead tr th {
+        text-align: left;
+    }
+
+    .dataframe thead tr:last-of-type th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr>
+      <th>escola</th>
+      <th colspan="3" halign="left">Y</th>
+      <th colspan="3" halign="left">Z</th>
+    </tr>
+    <tr>
+      <th>matéria</th>
+      <th>física</th>
+      <th>inglês</th>
+      <th>matemática</th>
+      <th>física</th>
+      <th>inglês</th>
+      <th>matemática</th>
+    </tr>
+    <tr>
+      <th>estudante</th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>André</th>
+      <td>-5</td>
+      <td>-5</td>
+      <td>-5</td>
+      <td>50</td>
+      <td>10</td>
+      <td>20</td>
+    </tr>
+    <tr>
+      <th>Bernardo</th>
+      <td>500</td>
+      <td>100</td>
+      <td>200</td>
+      <td>-5</td>
+      <td>-5</td>
+      <td>-5</td>
+    </tr>
+    <tr>
+      <th>Cristina</th>
+      <td>-5</td>
+      <td>-5</td>
+      <td>-5</td>
+      <td>5000</td>
+      <td>1000</td>
+      <td>2000</td>
+    </tr>
+    <tr>
+      <th>Debóra</th>
+      <td>50000</td>
+      <td>10000</td>
+      <td>20000</td>
+      <td>-5</td>
+      <td>-5</td>
+      <td>-5</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
 </div>
 </body>
 
diff --git a/03. Indexing, Merge, Concatenate, and Combine.ipynb b/03. Indexing, Merge, Concatenate, and Combine.ipynb
index 77e8deb..d5a5a51 100644
--- a/03. Indexing, Merge, Concatenate, and Combine.ipynb	
+++ b/03. Indexing, Merge, Concatenate, and Combine.ipynb	
@@ -5,7 +5,7 @@
    "id": "f4e5e202",
    "metadata": {},
    "source": [
-    "## <font color=green> Tratamento de dados: junção, combinação e reformatação"
+    "## <font color=green> Tratamento de dados: indexação, junção, concatenação e combinação"
    ]
   },
   {
@@ -52,15 +52,15 @@
     {
      "data": {
       "text/plain": [
-       "a  1    0.495730\n",
-       "   2    0.419658\n",
-       "   3    0.136879\n",
-       "b  1    0.784125\n",
-       "   3    0.405854\n",
-       "c  1    0.971204\n",
-       "   2    0.619552\n",
-       "d  2    0.035013\n",
-       "   3    0.496375\n",
+       "a  1    0.005646\n",
+       "   2    0.967006\n",
+       "   3    0.260935\n",
+       "b  1    0.492904\n",
+       "   3    0.318336\n",
+       "c  1    0.365956\n",
+       "   2    0.111986\n",
+       "d  2    0.592394\n",
+       "   3    0.761145\n",
        "dtype: float64"
       ]
      },
@@ -131,8 +131,8 @@
     {
      "data": {
       "text/plain": [
-       "1    0.784125\n",
-       "3    0.405854\n",
+       "1    0.492904\n",
+       "3    0.318336\n",
        "dtype: float64"
       ]
      },
@@ -154,10 +154,10 @@
     {
      "data": {
       "text/plain": [
-       "b  1    0.784125\n",
-       "   3    0.405854\n",
-       "d  2    0.035013\n",
-       "   3    0.496375\n",
+       "b  1    0.492904\n",
+       "   3    0.318336\n",
+       "d  2    0.592394\n",
+       "   3    0.761145\n",
        "dtype: float64"
       ]
      },
@@ -187,9 +187,9 @@
     {
      "data": {
       "text/plain": [
-       "a    0.419658\n",
-       "c    0.619552\n",
-       "d    0.035013\n",
+       "a    0.967006\n",
+       "c    0.111986\n",
+       "d    0.592394\n",
        "dtype: float64"
       ]
      },
@@ -246,27 +246,27 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>a</th>\n",
-       "      <td>0.495730</td>\n",
-       "      <td>0.419658</td>\n",
-       "      <td>0.136879</td>\n",
+       "      <td>0.005646</td>\n",
+       "      <td>0.967006</td>\n",
+       "      <td>0.260935</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>b</th>\n",
-       "      <td>0.784125</td>\n",
+       "      <td>0.492904</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.405854</td>\n",
+       "      <td>0.318336</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>c</th>\n",
-       "      <td>0.971204</td>\n",
-       "      <td>0.619552</td>\n",
+       "      <td>0.365956</td>\n",
+       "      <td>0.111986</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>d</th>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.035013</td>\n",
-       "      <td>0.496375</td>\n",
+       "      <td>0.592394</td>\n",
+       "      <td>0.761145</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -274,10 +274,10 @@
       ],
       "text/plain": [
        "          1         2         3\n",
-       "a  0.495730  0.419658  0.136879\n",
-       "b  0.784125       NaN  0.405854\n",
-       "c  0.971204  0.619552       NaN\n",
-       "d       NaN  0.035013  0.496375"
+       "a  0.005646  0.967006  0.260935\n",
+       "b  0.492904       NaN  0.318336\n",
+       "c  0.365956  0.111986       NaN\n",
+       "d       NaN  0.592394  0.761145"
       ]
      },
      "execution_count": 7,
@@ -4674,24 +4674,24 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>0.793636</td>\n",
-       "      <td>1.377189</td>\n",
-       "      <td>-2.019517</td>\n",
-       "      <td>-1.636774</td>\n",
+       "      <td>-0.102494</td>\n",
+       "      <td>-1.381333</td>\n",
+       "      <td>0.283748</td>\n",
+       "      <td>-0.250660</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>-0.505208</td>\n",
-       "      <td>-0.068062</td>\n",
-       "      <td>0.109442</td>\n",
-       "      <td>-1.789722</td>\n",
+       "      <td>-2.248611</td>\n",
+       "      <td>-0.992999</td>\n",
+       "      <td>-0.188599</td>\n",
+       "      <td>0.102097</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>-0.534593</td>\n",
-       "      <td>-0.196721</td>\n",
-       "      <td>1.174847</td>\n",
-       "      <td>0.035795</td>\n",
+       "      <td>0.523714</td>\n",
+       "      <td>-1.038862</td>\n",
+       "      <td>0.722294</td>\n",
+       "      <td>-1.517398</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -4699,9 +4699,9 @@
       ],
       "text/plain": [
        "          a         b         c         d\n",
-       "0  0.793636  1.377189 -2.019517 -1.636774\n",
-       "1 -0.505208 -0.068062  0.109442 -1.789722\n",
-       "2 -0.534593 -0.196721  1.174847  0.035795"
+       "0 -0.102494 -1.381333  0.283748 -0.250660\n",
+       "1 -2.248611 -0.992999 -0.188599  0.102097\n",
+       "2  0.523714 -1.038862  0.722294 -1.517398"
       ]
      },
      "execution_count": 65,
@@ -4748,15 +4748,15 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>1.068083</td>\n",
-       "      <td>-1.226159</td>\n",
-       "      <td>-0.104534</td>\n",
+       "      <td>-0.160190</td>\n",
+       "      <td>-1.452414</td>\n",
+       "      <td>-2.336241</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>0.744239</td>\n",
-       "      <td>-0.305096</td>\n",
-       "      <td>0.257395</td>\n",
+       "      <td>0.353083</td>\n",
+       "      <td>-0.136983</td>\n",
+       "      <td>-1.020427</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -4764,8 +4764,8 @@
       ],
       "text/plain": [
        "          b         d         a\n",
-       "0  1.068083 -1.226159 -0.104534\n",
-       "1  0.744239 -0.305096  0.257395"
+       "0 -0.160190 -1.452414 -2.336241\n",
+       "1  0.353083 -0.136983 -1.020427"
       ]
      },
      "execution_count": 66,
@@ -4813,38 +4813,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>0.793636</td>\n",
-       "      <td>1.377189</td>\n",
-       "      <td>-2.019517</td>\n",
-       "      <td>-1.636774</td>\n",
+       "      <td>-0.102494</td>\n",
+       "      <td>-1.381333</td>\n",
+       "      <td>0.283748</td>\n",
+       "      <td>-0.250660</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>-0.505208</td>\n",
-       "      <td>-0.068062</td>\n",
-       "      <td>0.109442</td>\n",
-       "      <td>-1.789722</td>\n",
+       "      <td>-2.248611</td>\n",
+       "      <td>-0.992999</td>\n",
+       "      <td>-0.188599</td>\n",
+       "      <td>0.102097</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>-0.534593</td>\n",
-       "      <td>-0.196721</td>\n",
-       "      <td>1.174847</td>\n",
-       "      <td>0.035795</td>\n",
+       "      <td>0.523714</td>\n",
+       "      <td>-1.038862</td>\n",
+       "      <td>0.722294</td>\n",
+       "      <td>-1.517398</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>-0.104534</td>\n",
-       "      <td>1.068083</td>\n",
+       "      <td>-2.336241</td>\n",
+       "      <td>-0.160190</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>-1.226159</td>\n",
+       "      <td>-1.452414</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>0.257395</td>\n",
-       "      <td>0.744239</td>\n",
+       "      <td>-1.020427</td>\n",
+       "      <td>0.353083</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>-0.305096</td>\n",
+       "      <td>-0.136983</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -4852,11 +4852,11 @@
       ],
       "text/plain": [
        "          a         b         c         d\n",
-       "0  0.793636  1.377189 -2.019517 -1.636774\n",
-       "1 -0.505208 -0.068062  0.109442 -1.789722\n",
-       "2 -0.534593 -0.196721  1.174847  0.035795\n",
-       "3 -0.104534  1.068083       NaN -1.226159\n",
-       "4  0.257395  0.744239       NaN -0.305096"
+       "0 -0.102494 -1.381333  0.283748 -0.250660\n",
+       "1 -2.248611 -0.992999 -0.188599  0.102097\n",
+       "2  0.523714 -1.038862  0.722294 -1.517398\n",
+       "3 -2.336241 -0.160190       NaN -1.452414\n",
+       "4 -1.020427  0.353083       NaN -0.136983"
       ]
      },
      "execution_count": 67,
@@ -5230,6 +5230,618 @@
    "source": [
     "df1.combine_first(df2)"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "37d16a99",
+   "metadata": {},
+   "source": [
+    "### Reformatando um DataFrame"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "56cf0d9e",
+   "metadata": {},
+   "source": [
+    "- Podemos formatar um DataFrame fazendo com que valores se tornem coluna e vice-versa"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "id": "02165c03",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>estudante</th>\n",
+       "      <th>escola</th>\n",
+       "      <th>matéria</th>\n",
+       "      <th>nota</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>André</td>\n",
+       "      <td>Z</td>\n",
+       "      <td>inglês</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Bernardo</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>inglês</td>\n",
+       "      <td>100</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Cristina</td>\n",
+       "      <td>Z</td>\n",
+       "      <td>inglês</td>\n",
+       "      <td>1000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Debóra</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>inglês</td>\n",
+       "      <td>10000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>André</td>\n",
+       "      <td>Z</td>\n",
+       "      <td>matemática</td>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Bernardo</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>matemática</td>\n",
+       "      <td>200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Cristina</td>\n",
+       "      <td>Z</td>\n",
+       "      <td>matemática</td>\n",
+       "      <td>2000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Debóra</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>matemática</td>\n",
+       "      <td>20000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>André</td>\n",
+       "      <td>Z</td>\n",
+       "      <td>física</td>\n",
+       "      <td>50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Bernardo</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>física</td>\n",
+       "      <td>500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>Cristina</td>\n",
+       "      <td>Z</td>\n",
+       "      <td>física</td>\n",
+       "      <td>5000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>Debóra</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>física</td>\n",
+       "      <td>50000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   estudante escola     matéria   nota\n",
+       "0      André      Z      inglês     10\n",
+       "1   Bernardo      Y      inglês    100\n",
+       "2   Cristina      Z      inglês   1000\n",
+       "3     Debóra      Y      inglês  10000\n",
+       "4      André      Z  matemática     20\n",
+       "5   Bernardo      Y  matemática    200\n",
+       "6   Cristina      Z  matemática   2000\n",
+       "7     Debóra      Y  matemática  20000\n",
+       "8      André      Z      física     50\n",
+       "9   Bernardo      Y      física    500\n",
+       "10  Cristina      Z      física   5000\n",
+       "11    Debóra      Y      física  50000"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_longo = pd.DataFrame({\n",
+    "        \"estudante\":\n",
+    "            [\"André\", \"Bernardo\", \"Cristina\", \"Debóra\",\n",
+    "             \"André\", \"Bernardo\", \"Cristina\", \"Debóra\",\n",
+    "             \"André\", \"Bernardo\", \"Cristina\", \"Debóra\"],\n",
+    "        \"escola\":\n",
+    "            [\"Z\", \"Y\", \"Z\", \"Y\",\n",
+    "             \"Z\", \"Y\", \"Z\", \"Y\",\n",
+    "             \"Z\", \"Y\", \"Z\", \"Y\"],\n",
+    "        \"matéria\":\n",
+    "            [\"inglês\", \"inglês\", \"inglês\", \"inglês\",\n",
+    "             \"matemática\", \"matemática\", \"matemática\", \"matemática\",\n",
+    "             \"física\", \"física\", \"física\", \"física\"],\n",
+    "        \"nota\":\n",
+    "            [10, 100, 1000, 10000,\n",
+    "             20, 200, 2000, 20000,\n",
+    "             50, 500, 5000, 50000]\n",
+    "})\n",
+    "\n",
+    "df_longo"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "10dfe71b",
+   "metadata": {},
+   "source": [
+    "- Tornando o DataFrame menos longo e mais amplo"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "id": "8371e6da",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>matéria</th>\n",
+       "      <th>física</th>\n",
+       "      <th>inglês</th>\n",
+       "      <th>matemática</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>estudante</th>\n",
+       "      <th>escola</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>André</th>\n",
+       "      <th>Z</th>\n",
+       "      <td>50</td>\n",
+       "      <td>10</td>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Bernardo</th>\n",
+       "      <th>Y</th>\n",
+       "      <td>500</td>\n",
+       "      <td>100</td>\n",
+       "      <td>200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Cristina</th>\n",
+       "      <th>Z</th>\n",
+       "      <td>5000</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>2000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Debóra</th>\n",
+       "      <th>Y</th>\n",
+       "      <td>50000</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>20000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "matéria           física  inglês  matemática\n",
+       "estudante escola                            \n",
+       "André     Z           50      10          20\n",
+       "Bernardo  Y          500     100         200\n",
+       "Cristina  Z         5000    1000        2000\n",
+       "Debóra    Y        50000   10000       20000"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_longo.pivot_table(index=[\"estudante\", \"escola\"], \n",
+    "                    columns='matéria', \n",
+    "                    values='nota')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "62090f4a",
+   "metadata": {},
+   "source": [
+    "- Adicionando margens para com a soma dos valores por linhas e por colunas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "id": "6a789c25",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>matéria</th>\n",
+       "      <th>física</th>\n",
+       "      <th>inglês</th>\n",
+       "      <th>matemática</th>\n",
+       "      <th>All</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>estudante</th>\n",
+       "      <th>escola</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>André</th>\n",
+       "      <th>Z</th>\n",
+       "      <td>50</td>\n",
+       "      <td>10</td>\n",
+       "      <td>20</td>\n",
+       "      <td>80</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Bernardo</th>\n",
+       "      <th>Y</th>\n",
+       "      <td>500</td>\n",
+       "      <td>100</td>\n",
+       "      <td>200</td>\n",
+       "      <td>800</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Cristina</th>\n",
+       "      <th>Z</th>\n",
+       "      <td>5000</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>2000</td>\n",
+       "      <td>8000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Debóra</th>\n",
+       "      <th>Y</th>\n",
+       "      <td>50000</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>20000</td>\n",
+       "      <td>80000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>All</th>\n",
+       "      <th></th>\n",
+       "      <td>55550</td>\n",
+       "      <td>11110</td>\n",
+       "      <td>22220</td>\n",
+       "      <td>88880</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "matéria           física  inglês  matemática    All\n",
+       "estudante escola                                   \n",
+       "André     Z           50      10          20     80\n",
+       "Bernardo  Y          500     100         200    800\n",
+       "Cristina  Z         5000    1000        2000   8000\n",
+       "Debóra    Y        50000   10000       20000  80000\n",
+       "All                55550   11110       22220  88880"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_longo.pivot_table(index=[\"estudante\", \"escola\"], \n",
+    "                    columns='matéria', \n",
+    "                    values='nota',\n",
+    "                    margins=True,  # add margins\n",
+    "                    aggfunc='sum')  # sum margins (rows/columns)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2bdff7dd",
+   "metadata": {},
+   "source": [
+    "- Se o parâmetro columns não for especificado, serão apresentadas as médias de todas as colunas numéricas "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "id": "3ff9888a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>nota</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>estudante</th>\n",
+       "      <th>escola</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>André</th>\n",
+       "      <th>Z</th>\n",
+       "      <td>26.666667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Bernardo</th>\n",
+       "      <th>Y</th>\n",
+       "      <td>266.666667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Cristina</th>\n",
+       "      <th>Z</th>\n",
+       "      <td>2666.666667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Debóra</th>\n",
+       "      <th>Y</th>\n",
+       "      <td>26666.666667</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                          nota\n",
+       "estudante escola              \n",
+       "André     Z          26.666667\n",
+       "Bernardo  Y         266.666667\n",
+       "Cristina  Z        2666.666667\n",
+       "Debóra    Y       26666.666667"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_longo.pivot_table(index=[\"estudante\", \"escola\"])\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "180834ed",
+   "metadata": {},
+   "source": [
+    "- É possível também especificar o preenchemento dos valores faltantes "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "id": "a21b6fcf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr:last-of-type th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th>escola</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">Y</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">Z</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>matéria</th>\n",
+       "      <th>física</th>\n",
+       "      <th>inglês</th>\n",
+       "      <th>matemática</th>\n",
+       "      <th>física</th>\n",
+       "      <th>inglês</th>\n",
+       "      <th>matemática</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>estudante</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>André</th>\n",
+       "      <td>-5</td>\n",
+       "      <td>-5</td>\n",
+       "      <td>-5</td>\n",
+       "      <td>50</td>\n",
+       "      <td>10</td>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Bernardo</th>\n",
+       "      <td>500</td>\n",
+       "      <td>100</td>\n",
+       "      <td>200</td>\n",
+       "      <td>-5</td>\n",
+       "      <td>-5</td>\n",
+       "      <td>-5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Cristina</th>\n",
+       "      <td>-5</td>\n",
+       "      <td>-5</td>\n",
+       "      <td>-5</td>\n",
+       "      <td>5000</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>2000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Debóra</th>\n",
+       "      <td>50000</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>20000</td>\n",
+       "      <td>-5</td>\n",
+       "      <td>-5</td>\n",
+       "      <td>-5</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "escola         Y                        Z                  \n",
+       "matéria   física inglês matemática física inglês matemática\n",
+       "estudante                                                  \n",
+       "André         -5     -5         -5     50     10         20\n",
+       "Bernardo     500    100        200     -5     -5         -5\n",
+       "Cristina      -5     -5         -5   5000   1000       2000\n",
+       "Debóra     50000  10000      20000     -5     -5         -5"
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_longo.pivot_table(index=\"estudante\", \n",
+    "                    columns=['escola', 'matéria'], \n",
+    "                    values='nota', \n",
+    "                    fill_value=-5)  # replace NaN with -5"
+   ]
   }
  ],
  "metadata": {
@@ -5250,6 +5862,11 @@
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.8.8"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "4ef1bb06cfdb40804b9995cc70859f43ff54c1a5223e7f7279b6762f9929c1e2"
+   }
   }
  },
  "nbformat": 4,
diff --git a/04. Aggregation.html b/04. Aggregation.html
index ca7f380..e3159fb 100644
--- a/04. Aggregation.html	
+++ b/04. Aggregation.html	
@@ -14532,7 +14532,7 @@ <h3 id="Funcionamento-de-GroupBy">Funcionamento de GroupBy<a class="anchor-link"
 
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>{&#39;Aaron Hendrickson&#39;: [25612, 25613, 25614, 25615, 25616, 25617, 25618, 25619, 25620, 25621, 25622, 25623, 25624, 25625, 25626, 25627, 25628, 25629, 25630, 25631, 25632, 25633, 25634, 25635, 25636, 25637, 25638, 25639, 25640, 25641, 25642, 25643, 25644, 25645, 25646, 25647, 25648, 25649, 25650, 25651, 25652, 25653, 25654, 25655, 25656, 25657, 25658, 25659, 25660, 25661, 25662, 25663, 25664, 25665, 25666, 25667, 25668, 25669, 25670, 25671, 25672, 25673, 25674, 25675, 25676, 25677, 25678, 25679, 25680, 25681, 25682, 25683, 25684, 25685, 25686, 25687, 25688, 25689, 25690, 25691, 25692, 25693, 25694, 25695, 25696, 25697, 25698, 25699, 25700, 25701, 25702, 25703, 25704, 25705, 25706, 25707, 25708, 25709, 25710, 25711, ...], &#39;Adam Sawyer&#39;: [67140, 67141, 67142, 67143, 67144, 67145, 67146, 67147, 67148, 67149, 67150, 67151, 67152, 67153, 67154, 67155, 67156, 67157, 67158, 67159, 67160, 67161, 67162, 67163, 67164, 67165, 67166, 67167, 67168, 67169, 67170, 67171, 67172, 67173, 67174, 67175, 67176, 67177, 67178, 67179, 67180, 67181, 67182, 67183, 67184, 67185, 67186, 67187, 67188, 67189, 67190, 67191, 67192, 67193, 67194, 67195, 67196, 67197, 67198, 67199, 67200, 67201, 67202, 67203, 67204, 67205, 67206, 67207, 67208, 67209, 67210, 67211, 67212, 67213, 67214, 67215, 67216, 67217, 67218, 67219, 67220, 67221, 67222, 67223, 67224, 67225, 67226, 67227, 67228, 67229, 67230, 67231, 67232, 67233, 67234, 67235, 67236, 67237, 67238, 67239, ...], &#39;Adele Kimmel&#39;: [90915, 90916, 90917, 90918, 90919, 90920, 90921, 90922, 90923, 90924, 90925, 90926, 90927, 90928, 90929, 90930, 90931, 90932, 90933, 90934, 90935, 90936, 90937, 90938, 90939, 90940, 90941, 90942, 90943, 90944, 90945, 90946, 90947, 90948, 90949, 90950, 90951, 90952, 90953, 90954, 90955, 90956, 90957, 90958, 90959, 90960, 90961, 90962, 90963, 90964, 90965, 90966, 90967, 90968, 90969, 90970, 90971, 90972, 90973, 90974, 90975, 90976, 90977, 90978, 90979, 90980, 90981, 90982, 90983, 90984, 90985, 90986, 90987, 90988, 90989, 90990, 90991, 90992, 90993, 90994, 90995, 90996, 90997, 90998, 90999, 91000, 91001, 91002, 91003, 91004, 91005, 91006, 91007, 91008, 91009, 91010, 91011, 91012, 91013, 91014, ...], &#39;Adrian Daugherty&#39;: [31483, 31484, 31485, 31486, 31487, 31488, 31489, 31490, 31491, 31492, 31493, 31494, 31495, 31496, 31497, 31498, 31499, 31500, 31501, 31502, 31503, 31504, 31505, 31506, 31507, 31508, 31509, 31510, 31511, 31512, 31513, 31514, 31515, 31516, 31517, 31518, 31519, 31520, 31521, 31522, 31523, 31524, 31525, 31526, 31527, 31528, 31529, 31530, 31531, 31532, 31533, 31534, 31535, 31536, 31537, 31538, 31539, 31540, 31541, 31542, 31543, 31544, 31545, 31546, 31547, 31548, 31549, 31550, 31551, 31552, 31553, 31554, 31555, 31556, 31557, 31558, 31559, 31560, 31561, 31562, 31563, 31564, 31565, 31566, 31567, 31568, 31569, 31570, 31571, 31572, 31573, 31574, 31575, 31576, 31577, 31578, 31579, 31580, 31581, 31582, ...], &#39;Adrianna Shelton&#39;: [3368, 3369, 3370, 3371, 3372, 3373, 3374, 3375, 3376, 3377, 3378, 3379, 3380, 3381, 3382, 3383, 3384, 3385, 3386, 3387, 3388, 3389, 3390, 3391, 3392, 3393, 3394, 3395, 3396, 3397, 3398, 3399, 3400, 3401, 3402, 3403, 3404], &#39;Ahmad Derck&#39;: [44306, 44307, 44308, 44309, 44310, 44311, 44312, 44313, 44314, 44315, 44316, 44317, 44318, 44319, 44320, 44321, 44322, 44323, 44324, 44325, 44326, 44327, 44328, 44329, 44330, 44331, 44332, 44333, 44334, 44335, 44336, 44337, 44338, 44339, 44340, 44341, 44342, 44343, 44344, 44345, 44346, 44347, 44348, 44349, 44350, 44351, 44352, 44353, 44354, 44355, 44356, 44357, 44358, 44359, 44360, 44361, 44362, 44363, 44364, 44365, 44366, 44367, 44368, 44369, 44370, 44371, 44372, 44373, 44374, 44375, 44376, 44377, 44378, 44379, 44380, 44381, 44382, 44383, 44384, 44385, 44386, 44387, 44388, 44389, 44390, 44391, 44392, 44393, 44394, 44395, 44396, 44397, 44398, 44399, 44400, 44401, 44402, 44403, 44404, 44405, ...], &#39;Albert Pellowski&#39;: [26755, 26756, 26757, 26758, 26759, 26760, 26761, 26762, 26763, 26764, 26765, 26766, 26767, 26768, 26769, 26770, 26771, 26772, 26773, 26774, 26775, 26776, 26777, 26778, 26779, 26780, 26781, 26782, 26783, 26784, 26785, 26786, 26787, 26788, 26789, 26790, 26791, 26792, 26793, 26794, 26795, 26796, 26797, 26798, 26799, 26800, 26801, 26802, 26803, 26804, 26805, 26806, 26807, 26808, 26809, 26810, 26811, 26812, 26813, 26814], ...}</pre>
+<pre>{&#39;Aaron Hendrickson&#39;: [25612, 25613, 25614, 25615, 25616, 25617, 25618, 25619, 25620, 25621, 25622, 25623, 25624, 25625, 25626, 25627, 25628, 25629, 25630, 25631, 25632, 25633, 25634, 25635, 25636, 25637, 25638, 25639, 25640, 25641, 25642, 25643, 25644, 25645, 25646, 25647, 25648, 25649, 25650, 25651, 25652, 25653, 25654, 25655, 25656, 25657, 25658, 25659, 25660, 25661, 25662, 25663, 25664, 25665, 25666, 25667, 25668, 25669, 25670, 25671, 25672, 25673, 25674, 25675, 25676, 25677, 25678, 25679, 25680, 25681, 25682, 25683, 25684, 25685, 25686, 25687, 25688, 25689, 25690, 25691, 25692, 25693, 25694, 25695, 25696, 25697, 25698, 25699, 25700, 25701, 25702, 25703, 25704, 25705, 25706, 25707, 25708, 25709, 25710, 25711, ...], &#39;Adam Sawyer&#39;: [67140, 67141, 67142, 67143, 67144, 67145, 67146, 67147, 67148, 67149, 67150, 67151, 67152, 67153, 67154, 67155, 67156, 67157, 67158, 67159, 67160, 67161, 67162, 67163, 67164, 67165, 67166, 67167, 67168, 67169, 67170, 67171, 67172, 67173, 67174, 67175, 67176, 67177, 67178, 67179, 67180, 67181, 67182, 67183, 67184, 67185, 67186, 67187, 67188, 67189, 67190, 67191, 67192, 67193, 67194, 67195, 67196, 67197, 67198, 67199, 67200, 67201, 67202, 67203, 67204, 67205, 67206, 67207, 67208, 67209, 67210, 67211, 67212, 67213, 67214, 67215, 67216, 67217, 67218, 67219, 67220, 67221, 67222, 67223, 67224, 67225, 67226, 67227, 67228, 67229, 67230, 67231, 67232, 67233, 67234, 67235, 67236, 67237, 67238, 67239, ...], &#39;Adele Kimmel&#39;: [90915, 90916, 90917, 90918, 90919, 90920, 90921, 90922, 90923, 90924, 90925, 90926, 90927, 90928, 90929, 90930, 90931, 90932, 90933, 90934, 90935, 90936, 90937, 90938, 90939, 90940, 90941, 90942, 90943, 90944, 90945, 90946, 90947, 90948, 90949, 90950, 90951, 90952, 90953, 90954, 90955, 90956, 90957, 90958, 90959, 90960, 90961, 90962, 90963, 90964, 90965, 90966, 90967, 90968, 90969, 90970, 90971, 90972, 90973, 90974, 90975, 90976, 90977, 90978, 90979, 90980, 90981, 90982, 90983, 90984, 90985, 90986, 90987, 90988, 90989, 90990, 90991, 90992, 90993, 90994, 90995, 90996, 90997, 90998, 90999, 91000, 91001, 91002, 91003, 91004, 91005, 91006, 91007, 91008, 91009, 91010, 91011, 91012, 91013, 91014, ...], &#39;Adrian Daugherty&#39;: [31483, 31484, 31485, 31486, 31487, 31488, 31489, 31490, 31491, 31492, 31493, 31494, 31495, 31496, 31497, 31498, 31499, 31500, 31501, 31502, 31503, 31504, 31505, 31506, 31507, 31508, 31509, 31510, 31511, 31512, 31513, 31514, 31515, 31516, 31517, 31518, 31519, 31520, 31521, 31522, 31523, 31524, 31525, 31526, 31527, 31528, 31529, 31530, 31531, 31532, 31533, 31534, 31535, 31536, 31537, 31538, 31539, 31540, 31541, 31542, 31543, 31544, 31545, 31546, 31547, 31548, 31549, 31550, 31551, 31552, 31553, 31554, 31555, 31556, 31557, 31558, 31559, 31560, 31561, 31562, 31563, 31564, 31565, 31566, 31567, 31568, 31569, 31570, 31571, 31572, 31573, 31574, 31575, 31576, 31577, 31578, 31579, 31580, 31581, 31582, ...], &#39;Adrianna Shelton&#39;: [3368, 3369, 3370, 3371, 3372, 3373, 3374, 3375, 3376, 3377, 3378, 3379, 3380, 3381, 3382, 3383, 3384, 3385, 3386, 3387, 3388, 3389, 3390, 3391, 3392, 3393, 3394, 3395, 3396, 3397, 3398, 3399, 3400, 3401, 3402, 3403, 3404], &#39;Ahmad Derck&#39;: [44306, 44307, 44308, 44309, 44310, 44311, 44312, 44313, 44314, 44315, 44316, 44317, 44318, 44319, 44320, 44321, 44322, 44323, 44324, 44325, 44326, 44327, 44328, 44329, 44330, 44331, 44332, 44333, 44334, 44335, 44336, 44337, 44338, 44339, 44340, 44341, 44342, 44343, 44344, 44345, 44346, 44347, 44348, 44349, 44350, 44351, 44352, 44353, 44354, 44355, 44356, 44357, 44358, 44359, 44360, 44361, 44362, 44363, 44364, 44365, 44366, 44367, 44368, 44369, 44370, 44371, 44372, 44373, 44374, 44375, 44376, 44377, 44378, 44379, 44380, 44381, 44382, 44383, 44384, 44385, 44386, 44387, 44388, 44389, 44390, 44391, 44392, 44393, 44394, 44395, 44396, 44397, 44398, 44399, 44400, 44401, 44402, 44403, 44404, 44405, ...], &#39;Albert Pellowski&#39;: [26755, 26756, 26757, 26758, 26759, 26760, 26761, 26762, 26763, 26764, 26765, 26766, 26767, 26768, 26769, 26770, 26771, 26772, 26773, 26774, 26775, 26776, 26777, 26778, 26779, 26780, 26781, 26782, 26783, 26784, 26785, 26786, 26787, 26788, 26789, 26790, 26791, 26792, 26793, 26794, 26795, 26796, 26797, 26798, 26799, 26800, 26801, 26802, 26803, 26804, 26805, 26806, 26807, 26808, 26809, 26810, 26811, 26812, 26813, 26814], &#39;Alease Puckett&#39;: [91425, 91426, 91427, 91428, 91429, 91430, 91431, 91432, 91433, 91434, 91435, 91436, 91437, 91438, 91439, 91440, 91441, 91442, 91443, 91444, 91445, 91446, 91447, 91448, 91449, 91450, 91451, 91452, 91453, 91454, 91455, 91456, 91457, 91458, 91459, 91460, 91461, 91462, 91463, 91464, 91465, 91466, 91467, 91468, 91469, 91470, 91471, 91472, 91473, 91474, 91475, 91476, 91477, 91478, 91479, 91480, 91481, 91482, 91483, 91484, 91485, 91486, 91487, 91488, 91489, 91490, 91491, 91492, 91493, 91494, 91495, 91496, 91497, 91498, 91499, 91500, 91501, 91502, 91503, 91504, 91505, 91506, 91507, 91508, 91509, 91510, 91511, 91512, 91513, 91514, 91515, 91516, 91517, 91518, 91519, 91520, 91521, 91522, 91523, 91524, ...], &#39;Alejandro Ford&#39;: [43508, 43509, 43510, 43511, 43512, 43513, 43514, 43515, 43516, 43517, 43518, 43519, 43520, 43521, 43522, 43523, 43524, 43525, 43526, 43527, 43528, 43529, 43530, 43531, 43532, 43533, 43534, 43535, 43536, 43537, 43538, 43539, 43540, 43541, 43542, 43543, 43544, 43545, 43546, 43547, 43548, 43549, 43550, 43551, 43552, 43553, 43554, 43555, 43556, 43557, 43558, 43559, 43560, 43561, 43562, 43563, 43564] ...}</pre>
 </div>
 
 </div>
@@ -15274,36 +15274,36 @@ <h3 id="Funcionamento-de-GroupBy">Funcionamento de GroupBy<a class="anchor-link"
       <th>0</th>
       <td>a</td>
       <td>one</td>
-      <td>0.553033</td>
-      <td>-0.275056</td>
+      <td>1.113765</td>
+      <td>1.201429</td>
     </tr>
     <tr>
       <th>1</th>
       <td>a</td>
       <td>two</td>
-      <td>-0.502761</td>
-      <td>-0.087086</td>
+      <td>-0.632424</td>
+      <td>-0.449736</td>
     </tr>
     <tr>
       <th>2</th>
       <td>b</td>
       <td>one</td>
-      <td>-2.234555</td>
-      <td>0.455597</td>
+      <td>0.629210</td>
+      <td>-0.370542</td>
     </tr>
     <tr>
       <th>3</th>
       <td>b</td>
       <td>two</td>
-      <td>-2.019072</td>
-      <td>1.030227</td>
+      <td>-0.699669</td>
+      <td>0.136154</td>
     </tr>
     <tr>
       <th>4</th>
       <td>a</td>
       <td>one</td>
-      <td>0.729383</td>
-      <td>-0.307753</td>
+      <td>1.149117</td>
+      <td>0.265016</td>
     </tr>
   </tbody>
 </table>
@@ -15353,7 +15353,7 @@ <h3 id="Funcionamento-de-GroupBy">Funcionamento de GroupBy<a class="anchor-link"
 
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>&lt;pandas.core.groupby.generic.SeriesGroupBy object at 0x7fca3ee8bc40&gt;</pre>
+<pre>&lt;pandas.core.groupby.generic.SeriesGroupBy object at 0x7f83a8f0a6d0&gt;</pre>
 </div>
 
 </div>
@@ -15408,8 +15408,8 @@ <h3 id="Funcionamento-de-GroupBy">Funcionamento de GroupBy<a class="anchor-link"
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
 <pre>key1
-a    0.259885
-b   -2.126813
+a    0.543486
+b   -0.035229
 Name: data1, dtype: float64</pre>
 </div>
 
@@ -15457,10 +15457,10 @@ <h3 id="Funcionamento-de-GroupBy">Funcionamento de GroupBy<a class="anchor-link"
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
 <pre>key1  key2
-a     one     0.641208
-      two    -0.502761
-b     one    -2.234555
-      two    -2.019072
+a     one     1.131441
+      two    -0.632424
+b     one     0.629210
+      two    -0.699669
 Name: data1, dtype: float64</pre>
 </div>
 
@@ -15535,13 +15535,13 @@ <h3 id="Funcionamento-de-GroupBy">Funcionamento de GroupBy<a class="anchor-link"
   <tbody>
     <tr>
       <th>a</th>
-      <td>0.641208</td>
-      <td>-0.502761</td>
+      <td>1.131441</td>
+      <td>-0.632424</td>
     </tr>
     <tr>
       <th>b</th>
-      <td>-2.234555</td>
-      <td>-2.019072</td>
+      <td>0.629210</td>
+      <td>-0.699669</td>
     </tr>
   </tbody>
 </table>
@@ -15619,13 +15619,13 @@ <h3 id="Funcionamento-de-GroupBy">Funcionamento de GroupBy<a class="anchor-link"
   <tbody>
     <tr>
       <th>a</th>
-      <td>0.259885</td>
-      <td>-0.223298</td>
+      <td>0.543486</td>
+      <td>0.338903</td>
     </tr>
     <tr>
       <th>b</th>
-      <td>-2.126813</td>
-      <td>0.742912</td>
+      <td>-0.035229</td>
+      <td>-0.117194</td>
     </tr>
   </tbody>
 </table>
@@ -15698,24 +15698,24 @@ <h3 id="Funcionamento-de-GroupBy">Funcionamento de GroupBy<a class="anchor-link"
     <tr>
       <th rowspan="2" valign="top">a</th>
       <th>one</th>
-      <td>0.641208</td>
-      <td>-0.291404</td>
+      <td>1.131441</td>
+      <td>0.733223</td>
     </tr>
     <tr>
       <th>two</th>
-      <td>-0.502761</td>
-      <td>-0.087086</td>
+      <td>-0.632424</td>
+      <td>-0.449736</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">b</th>
       <th>one</th>
-      <td>-2.234555</td>
-      <td>0.455597</td>
+      <td>0.629210</td>
+      <td>-0.370542</td>
     </tr>
     <tr>
       <th>two</th>
-      <td>-2.019072</td>
-      <td>1.030227</td>
+      <td>-0.699669</td>
+      <td>0.136154</td>
     </tr>
   </tbody>
 </table>
@@ -15855,36 +15855,36 @@ <h3 id="Iterando-por-grupos">Iterando por grupos<a class="anchor-link" href="#It
       <th>0</th>
       <td>a</td>
       <td>one</td>
-      <td>0.553033</td>
-      <td>-0.275056</td>
+      <td>1.113765</td>
+      <td>1.201429</td>
     </tr>
     <tr>
       <th>1</th>
       <td>a</td>
       <td>two</td>
-      <td>-0.502761</td>
-      <td>-0.087086</td>
+      <td>-0.632424</td>
+      <td>-0.449736</td>
     </tr>
     <tr>
       <th>2</th>
       <td>b</td>
       <td>one</td>
-      <td>-2.234555</td>
-      <td>0.455597</td>
+      <td>0.629210</td>
+      <td>-0.370542</td>
     </tr>
     <tr>
       <th>3</th>
       <td>b</td>
       <td>two</td>
-      <td>-2.019072</td>
-      <td>1.030227</td>
+      <td>-0.699669</td>
+      <td>0.136154</td>
     </tr>
     <tr>
       <th>4</th>
       <td>a</td>
       <td>one</td>
-      <td>0.729383</td>
-      <td>-0.307753</td>
+      <td>1.149117</td>
+      <td>0.265016</td>
     </tr>
   </tbody>
 </table>
@@ -15927,13 +15927,13 @@ <h3 id="Iterando-por-grupos">Iterando por grupos<a class="anchor-link" href="#It
 <div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
 <pre>a
   key1 key2     data1     data2
-0    a  one  0.553033 -0.275056
-1    a  two -0.502761 -0.087086
-4    a  one  0.729383 -0.307753
+0    a  one  1.113765  1.201429
+1    a  two -0.632424 -0.449736
+4    a  one  1.149117  0.265016
 b
   key1 key2     data1     data2
-2    b  one -2.234555  0.455597
-3    b  two -2.019072  1.030227
+2    b  one  0.629210 -0.370542
+3    b  two -0.699669  0.136154
 </pre>
 </div>
 </div>
@@ -15972,17 +15972,17 @@ <h3 id="Iterando-por-grupos">Iterando por grupos<a class="anchor-link" href="#It
 <div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
 <pre>(&#39;a&#39;, &#39;one&#39;)
   key1 key2     data1     data2
-0    a  one  0.553033 -0.275056
-4    a  one  0.729383 -0.307753
+0    a  one  1.113765  1.201429
+4    a  one  1.149117  0.265016
 (&#39;a&#39;, &#39;two&#39;)
   key1 key2     data1     data2
-1    a  two -0.502761 -0.087086
+1    a  two -0.632424 -0.449736
 (&#39;b&#39;, &#39;one&#39;)
-  key1 key2     data1     data2
-2    b  one -2.234555  0.455597
+  key1 key2    data1     data2
+2    b  one  0.62921 -0.370542
 (&#39;b&#39;, &#39;two&#39;)
   key1 key2     data1     data2
-3    b  two -2.019072  1.030227
+3    b  two -0.699669  0.136154
 </pre>
 </div>
 </div>
@@ -16083,22 +16083,22 @@ <h3 id="Iterando-por-grupos">Iterando por grupos<a class="anchor-link" href="#It
       <th>0</th>
       <td>a</td>
       <td>one</td>
-      <td>0.553033</td>
-      <td>-0.275056</td>
+      <td>1.113765</td>
+      <td>1.201429</td>
     </tr>
     <tr>
       <th>1</th>
       <td>a</td>
       <td>two</td>
-      <td>-0.502761</td>
-      <td>-0.087086</td>
+      <td>-0.632424</td>
+      <td>-0.449736</td>
     </tr>
     <tr>
       <th>4</th>
       <td>a</td>
       <td>one</td>
-      <td>0.729383</td>
-      <td>-0.307753</td>
+      <td>1.149117</td>
+      <td>0.265016</td>
     </tr>
   </tbody>
 </table>
@@ -16181,15 +16181,15 @@ <h3 id="Iterando-por-grupos">Iterando por grupos<a class="anchor-link" href="#It
       <th>2</th>
       <td>b</td>
       <td>one</td>
-      <td>-2.234555</td>
-      <td>0.455597</td>
+      <td>0.629210</td>
+      <td>-0.370542</td>
     </tr>
     <tr>
       <th>3</th>
       <td>b</td>
       <td>two</td>
-      <td>-2.019072</td>
-      <td>1.030227</td>
+      <td>-0.699669</td>
+      <td>0.136154</td>
     </tr>
   </tbody>
 </table>
@@ -16240,12 +16240,12 @@ <h3 id="Iterando-por-grupos">Iterando por grupos<a class="anchor-link" href="#It
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
 <pre>{&#39;a&#39;:   key1 key2     data1     data2
- 0    a  one  0.553033 -0.275056
- 1    a  two -0.502761 -0.087086
- 4    a  one  0.729383 -0.307753,
+ 0    a  one  1.113765  1.201429
+ 1    a  two -0.632424 -0.449736
+ 4    a  one  1.149117  0.265016,
  &#39;b&#39;:   key1 key2     data1     data2
- 2    b  one -2.234555  0.455597
- 3    b  two -2.019072  1.030227}</pre>
+ 2    b  one  0.629210 -0.370542
+ 3    b  two -0.699669  0.136154}</pre>
 </div>
 
 </div>
@@ -16310,15 +16310,15 @@ <h3 id="Iterando-por-grupos">Iterando por grupos<a class="anchor-link" href="#It
       <th>2</th>
       <td>b</td>
       <td>one</td>
-      <td>-2.234555</td>
-      <td>0.455597</td>
+      <td>0.629210</td>
+      <td>-0.370542</td>
     </tr>
     <tr>
       <th>3</th>
       <td>b</td>
       <td>two</td>
-      <td>-2.019072</td>
-      <td>1.030227</td>
+      <td>-0.699669</td>
+      <td>0.136154</td>
     </tr>
   </tbody>
 </table>
@@ -16373,10 +16373,10 @@ <h3 id="Selecionando-uma-coluna-ou-um-subconjunto-de-colunas">Selecionando uma c
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
 <pre>key1  key2
-a     one     0.641208
-      two    -0.502761
-b     one    -2.234555
-      two    -2.019072
+a     one     1.131441
+      two    -0.632424
+b     one     0.629210
+      two    -0.699669
 Name: data1, dtype: float64</pre>
 </div>
 
@@ -16452,20 +16452,20 @@ <h3 id="Selecionando-uma-coluna-ou-um-subconjunto-de-colunas">Selecionando uma c
     <tr>
       <th rowspan="2" valign="top">a</th>
       <th>one</th>
-      <td>0.641208</td>
+      <td>1.131441</td>
     </tr>
     <tr>
       <th>two</th>
-      <td>-0.502761</td>
+      <td>-0.632424</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">b</th>
       <th>one</th>
-      <td>-2.234555</td>
+      <td>0.629210</td>
     </tr>
     <tr>
       <th>two</th>
-      <td>-2.019072</td>
+      <td>-0.699669</td>
     </tr>
   </tbody>
 </table>
@@ -16541,43 +16541,43 @@ <h3 id="Agrupando-com-dicion&#225;rios-e-Series">Agrupando com dicion&#225;rios
   <tbody>
     <tr>
       <th>Joe</th>
-      <td>-1.270939</td>
-      <td>-0.453299</td>
-      <td>-0.063081</td>
-      <td>-2.144573</td>
-      <td>0.137126</td>
+      <td>0.122528</td>
+      <td>1.843844</td>
+      <td>-0.320371</td>
+      <td>-1.443436</td>
+      <td>-0.287311</td>
     </tr>
     <tr>
       <th>Steve</th>
-      <td>-0.433835</td>
-      <td>0.778746</td>
-      <td>0.572547</td>
-      <td>0.332721</td>
-      <td>0.809772</td>
+      <td>1.059765</td>
+      <td>-0.862856</td>
+      <td>0.937505</td>
+      <td>-0.044146</td>
+      <td>-0.785330</td>
     </tr>
     <tr>
       <th>Wes</th>
-      <td>0.620639</td>
-      <td>0.879264</td>
-      <td>1.351556</td>
-      <td>0.742441</td>
-      <td>0.639998</td>
+      <td>0.699457</td>
+      <td>1.239113</td>
+      <td>0.708434</td>
+      <td>-0.032737</td>
+      <td>-0.392959</td>
     </tr>
     <tr>
       <th>Jim</th>
-      <td>-1.276242</td>
-      <td>-0.489946</td>
-      <td>0.091790</td>
-      <td>-0.541705</td>
-      <td>-0.383573</td>
+      <td>-0.365546</td>
+      <td>-0.318528</td>
+      <td>-1.786501</td>
+      <td>-1.116975</td>
+      <td>-1.292874</td>
     </tr>
     <tr>
       <th>Mike</th>
-      <td>-2.172602</td>
-      <td>-1.070150</td>
-      <td>0.197160</td>
-      <td>1.378175</td>
-      <td>-0.627305</td>
+      <td>0.018739</td>
+      <td>0.757862</td>
+      <td>-1.081231</td>
+      <td>0.725321</td>
+      <td>1.026412</td>
     </tr>
   </tbody>
 </table>
@@ -16646,43 +16646,43 @@ <h3 id="Agrupando-com-dicion&#225;rios-e-Series">Agrupando com dicion&#225;rios
   <tbody>
     <tr>
       <th>Joe</th>
-      <td>-1.270939</td>
-      <td>-0.453299</td>
-      <td>-0.063081</td>
-      <td>-2.144573</td>
-      <td>0.137126</td>
+      <td>0.122528</td>
+      <td>1.843844</td>
+      <td>-0.320371</td>
+      <td>-1.443436</td>
+      <td>-0.287311</td>
     </tr>
     <tr>
       <th>Steve</th>
-      <td>-0.433835</td>
-      <td>0.778746</td>
-      <td>0.572547</td>
-      <td>0.332721</td>
-      <td>0.809772</td>
+      <td>1.059765</td>
+      <td>-0.862856</td>
+      <td>0.937505</td>
+      <td>-0.044146</td>
+      <td>-0.785330</td>
     </tr>
     <tr>
       <th>Wes</th>
-      <td>0.620639</td>
+      <td>0.699457</td>
       <td>NaN</td>
       <td>NaN</td>
-      <td>0.742441</td>
-      <td>0.639998</td>
+      <td>-0.032737</td>
+      <td>-0.392959</td>
     </tr>
     <tr>
       <th>Jim</th>
-      <td>-1.276242</td>
-      <td>-0.489946</td>
-      <td>0.091790</td>
-      <td>-0.541705</td>
-      <td>-0.383573</td>
+      <td>-0.365546</td>
+      <td>-0.318528</td>
+      <td>-1.786501</td>
+      <td>-1.116975</td>
+      <td>-1.292874</td>
     </tr>
     <tr>
       <th>Mike</th>
-      <td>-2.172602</td>
-      <td>-1.070150</td>
-      <td>0.197160</td>
-      <td>1.378175</td>
-      <td>-0.627305</td>
+      <td>0.018739</td>
+      <td>0.757862</td>
+      <td>-1.081231</td>
+      <td>0.725321</td>
+      <td>1.026412</td>
     </tr>
   </tbody>
 </table>
@@ -16761,28 +16761,28 @@ <h3 id="Agrupando-com-dicion&#225;rios-e-Series">Agrupando com dicion&#225;rios
   <tbody>
     <tr>
       <th>Joe</th>
-      <td>-2.207655</td>
-      <td>-1.587113</td>
+      <td>-1.763807</td>
+      <td>1.679062</td>
     </tr>
     <tr>
       <th>Steve</th>
-      <td>0.905268</td>
-      <td>1.154683</td>
+      <td>0.893359</td>
+      <td>-0.588421</td>
     </tr>
     <tr>
       <th>Wes</th>
-      <td>0.742441</td>
-      <td>1.260637</td>
+      <td>-0.032737</td>
+      <td>0.306499</td>
     </tr>
     <tr>
       <th>Jim</th>
-      <td>-0.449915</td>
-      <td>-2.149761</td>
+      <td>-2.903475</td>
+      <td>-1.976948</td>
     </tr>
     <tr>
       <th>Mike</th>
-      <td>1.575335</td>
-      <td>-3.870057</td>
+      <td>-0.355910</td>
+      <td>1.803014</td>
     </tr>
   </tbody>
 </table>
@@ -17009,43 +17009,43 @@ <h3 id="Agrupando-com-fun&#231;&#245;es">Agrupando com fun&#231;&#245;es<a class
   <tbody>
     <tr>
       <th>Joe</th>
-      <td>-1.270939</td>
-      <td>-0.453299</td>
-      <td>-0.063081</td>
-      <td>-2.144573</td>
-      <td>0.137126</td>
+      <td>0.122528</td>
+      <td>1.843844</td>
+      <td>-0.320371</td>
+      <td>-1.443436</td>
+      <td>-0.287311</td>
     </tr>
     <tr>
       <th>Steve</th>
-      <td>-0.433835</td>
-      <td>0.778746</td>
-      <td>0.572547</td>
-      <td>0.332721</td>
-      <td>0.809772</td>
+      <td>1.059765</td>
+      <td>-0.862856</td>
+      <td>0.937505</td>
+      <td>-0.044146</td>
+      <td>-0.785330</td>
     </tr>
     <tr>
       <th>Wes</th>
-      <td>0.620639</td>
+      <td>0.699457</td>
       <td>NaN</td>
       <td>NaN</td>
-      <td>0.742441</td>
-      <td>0.639998</td>
+      <td>-0.032737</td>
+      <td>-0.392959</td>
     </tr>
     <tr>
       <th>Jim</th>
-      <td>-1.276242</td>
-      <td>-0.489946</td>
-      <td>0.091790</td>
-      <td>-0.541705</td>
-      <td>-0.383573</td>
+      <td>-0.365546</td>
+      <td>-0.318528</td>
+      <td>-1.786501</td>
+      <td>-1.116975</td>
+      <td>-1.292874</td>
     </tr>
     <tr>
       <th>Mike</th>
-      <td>-2.172602</td>
-      <td>-1.070150</td>
-      <td>0.197160</td>
-      <td>1.378175</td>
-      <td>-0.627305</td>
+      <td>0.018739</td>
+      <td>0.757862</td>
+      <td>-1.081231</td>
+      <td>0.725321</td>
+      <td>1.026412</td>
     </tr>
   </tbody>
 </table>
@@ -17113,27 +17113,27 @@ <h3 id="Agrupando-com-fun&#231;&#245;es">Agrupando com fun&#231;&#245;es<a class
   <tbody>
     <tr>
       <th>3</th>
-      <td>-1.926542</td>
-      <td>-0.943245</td>
-      <td>0.028709</td>
-      <td>-1.943838</td>
-      <td>0.393550</td>
+      <td>0.456439</td>
+      <td>1.525316</td>
+      <td>-2.106871</td>
+      <td>-2.593148</td>
+      <td>-1.973143</td>
     </tr>
     <tr>
       <th>4</th>
-      <td>-2.172602</td>
-      <td>-1.070150</td>
-      <td>0.197160</td>
-      <td>1.378175</td>
-      <td>-0.627305</td>
+      <td>0.018739</td>
+      <td>0.757862</td>
+      <td>-1.081231</td>
+      <td>0.725321</td>
+      <td>1.026412</td>
     </tr>
     <tr>
       <th>5</th>
-      <td>-0.433835</td>
-      <td>0.778746</td>
-      <td>0.572547</td>
-      <td>0.332721</td>
-      <td>0.809772</td>
+      <td>1.059765</td>
+      <td>-0.862856</td>
+      <td>0.937505</td>
+      <td>-0.044146</td>
+      <td>-0.785330</td>
     </tr>
   </tbody>
 </table>
@@ -17215,36 +17215,36 @@ <h3 id="Agrega&#231;&#227;o-de-dados">Agrega&#231;&#227;o de dados<a class="anch
       <th>0</th>
       <td>a</td>
       <td>one</td>
-      <td>0.553033</td>
-      <td>-0.275056</td>
+      <td>1.113765</td>
+      <td>1.201429</td>
     </tr>
     <tr>
       <th>1</th>
       <td>a</td>
       <td>two</td>
-      <td>-0.502761</td>
-      <td>-0.087086</td>
+      <td>-0.632424</td>
+      <td>-0.449736</td>
     </tr>
     <tr>
       <th>2</th>
       <td>b</td>
       <td>one</td>
-      <td>-2.234555</td>
-      <td>0.455597</td>
+      <td>0.629210</td>
+      <td>-0.370542</td>
     </tr>
     <tr>
       <th>3</th>
       <td>b</td>
       <td>two</td>
-      <td>-2.019072</td>
-      <td>1.030227</td>
+      <td>-0.699669</td>
+      <td>0.136154</td>
     </tr>
     <tr>
       <th>4</th>
       <td>a</td>
       <td>one</td>
-      <td>0.729383</td>
-      <td>-0.307753</td>
+      <td>1.149117</td>
+      <td>0.265016</td>
     </tr>
   </tbody>
 </table>
@@ -17394,13 +17394,13 @@ <h3 id="Agrega&#231;&#227;o-de-dados">Agrega&#231;&#227;o de dados<a class="anch
   <tbody>
     <tr>
       <th>a</th>
-      <td>0.779655</td>
-      <td>-0.669894</td>
+      <td>1.630458</td>
+      <td>1.016709</td>
     </tr>
     <tr>
       <th>b</th>
-      <td>-4.253627</td>
-      <td>1.485823</td>
+      <td>-0.070458</td>
+      <td>-0.234388</td>
     </tr>
   </tbody>
 </table>
@@ -17470,13 +17470,13 @@ <h3 id="Agrega&#231;&#227;o-de-dados">Agrega&#231;&#227;o de dados<a class="anch
   <tbody>
     <tr>
       <th>a</th>
-      <td>0.259885</td>
-      <td>-0.223298</td>
+      <td>0.543486</td>
+      <td>0.338903</td>
     </tr>
     <tr>
       <th>b</th>
-      <td>-2.126813</td>
-      <td>0.742912</td>
+      <td>-0.035229</td>
+      <td>-0.117194</td>
     </tr>
   </tbody>
 </table>
@@ -17546,13 +17546,13 @@ <h3 id="Agrega&#231;&#227;o-de-dados">Agrega&#231;&#227;o de dados<a class="anch
   <tbody>
     <tr>
       <th>a</th>
-      <td>0.553033</td>
-      <td>-0.275056</td>
+      <td>1.113765</td>
+      <td>0.265016</td>
     </tr>
     <tr>
       <th>b</th>
-      <td>-2.126813</td>
-      <td>0.742912</td>
+      <td>-0.035229</td>
+      <td>-0.117194</td>
     </tr>
   </tbody>
 </table>
@@ -17622,13 +17622,13 @@ <h3 id="Agrega&#231;&#227;o-de-dados">Agrega&#231;&#227;o de dados<a class="anch
   <tbody>
     <tr>
       <th>a</th>
-      <td>0.666330</td>
-      <td>0.119091</td>
+      <td>1.018521</td>
+      <td>0.828059</td>
     </tr>
     <tr>
       <th>b</th>
-      <td>0.152369</td>
-      <td>0.406325</td>
+      <td>0.939659</td>
+      <td>0.358288</td>
     </tr>
   </tbody>
 </table>
@@ -17701,14 +17701,14 @@ <h3 id="Agrega&#231;&#227;o-de-dados">Agrega&#231;&#227;o de dados<a class="anch
     <tr>
       <th>a</th>
       <td>one</td>
-      <td>-0.502761</td>
-      <td>-0.307753</td>
+      <td>-0.632424</td>
+      <td>-0.449736</td>
     </tr>
     <tr>
       <th>b</th>
       <td>one</td>
-      <td>-2.234555</td>
-      <td>0.455597</td>
+      <td>-0.699669</td>
+      <td>-0.370542</td>
     </tr>
   </tbody>
 </table>
@@ -17781,14 +17781,14 @@ <h3 id="Agrega&#231;&#227;o-de-dados">Agrega&#231;&#227;o de dados<a class="anch
     <tr>
       <th>a</th>
       <td>two</td>
-      <td>0.729383</td>
-      <td>-0.087086</td>
+      <td>1.149117</td>
+      <td>1.201429</td>
     </tr>
     <tr>
       <th>b</th>
       <td>two</td>
-      <td>-2.019072</td>
-      <td>1.030227</td>
+      <td>0.629210</td>
+      <td>0.136154</td>
     </tr>
   </tbody>
 </table>
@@ -17858,13 +17858,13 @@ <h3 id="Agrega&#231;&#227;o-de-dados">Agrega&#231;&#227;o de dados<a class="anch
   <tbody>
     <tr>
       <th>a</th>
-      <td>-0.202800</td>
-      <td>-0.007372</td>
+      <td>-0.809406</td>
+      <td>-0.143195</td>
     </tr>
     <tr>
       <th>b</th>
-      <td>4.511727</td>
-      <td>0.469368</td>
+      <td>-0.440239</td>
+      <td>-0.050451</td>
     </tr>
   </tbody>
 </table>
@@ -17937,14 +17937,14 @@ <h3 id="Agrega&#231;&#227;o-de-dados">Agrega&#231;&#227;o de dados<a class="anch
     <tr>
       <th>a</th>
       <td>one</td>
-      <td>0.553033</td>
-      <td>-0.275056</td>
+      <td>1.113765</td>
+      <td>1.201429</td>
     </tr>
     <tr>
       <th>b</th>
       <td>one</td>
-      <td>-2.234555</td>
-      <td>0.455597</td>
+      <td>0.629210</td>
+      <td>-0.370542</td>
     </tr>
   </tbody>
 </table>
@@ -18017,14 +18017,14 @@ <h3 id="Agrega&#231;&#227;o-de-dados">Agrega&#231;&#227;o de dados<a class="anch
     <tr>
       <th>a</th>
       <td>one</td>
-      <td>0.729383</td>
-      <td>-0.307753</td>
+      <td>1.149117</td>
+      <td>0.265016</td>
     </tr>
     <tr>
       <th>b</th>
       <td>two</td>
-      <td>-2.019072</td>
-      <td>1.030227</td>
+      <td>-0.699669</td>
+      <td>0.136154</td>
     </tr>
   </tbody>
 </table>
@@ -18075,8 +18075,8 @@ <h3 id="Agrega&#231;&#227;o-de-dados">Agrega&#231;&#227;o de dados<a class="anch
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
 <pre>key1
-a    0.694113
-b   -2.040620
+a    1.142047
+b    0.496322
 Name: data1, dtype: float64</pre>
 </div>
 
@@ -18166,13 +18166,13 @@ <h3 id="Agrega&#231;&#227;o-de-dados">Agrega&#231;&#227;o de dados<a class="anch
   <tbody>
     <tr>
       <th>a</th>
-      <td>1.232144</td>
-      <td>0.220667</td>
+      <td>1.781541</td>
+      <td>1.651165</td>
     </tr>
     <tr>
       <th>b</th>
-      <td>0.215482</td>
-      <td>0.574630</td>
+      <td>1.328879</td>
+      <td>0.506696</td>
     </tr>
   </tbody>
 </table>
@@ -18185,6 +18185,20 @@ <h3 id="Agrega&#231;&#227;o-de-dados">Agrega&#231;&#227;o de dados<a class="anch
 
 </div>
 
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[&nbsp;]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span> 
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
 </div>
 <div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
@@ -18642,7 +18656,7 @@ <h3 id="Aplica&#231;&#227;o-de-fun&#231;&#227;o-nas-colunas-e-aplica&#231;&#227;
 <div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
-<li>Observe que, para estatísticas descritivas, podemos passa o nome da função como uma string</li>
+<li>Retornando quantos grupos foram gerados</li>
 </ul>
 
 </div>
@@ -18650,6 +18664,51 @@ <h3 id="Aplica&#231;&#227;o-de-fun&#231;&#227;o-nas-colunas-e-aplica&#231;&#227;
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
 <div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[61]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">grouped</span><span class="o">.</span><span class="n">ngroups</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[61]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre>10</pre>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<ul>
+<li>Observe que, para estatísticas descritivas, podemos passar o nome da função como uma string</li>
+</ul>
+
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[62]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">grouped_renda</span> <span class="o">=</span> <span class="n">grouped</span><span class="p">[</span><span class="s1">&#39;Renda&#39;</span><span class="p">]</span>
@@ -18669,7 +18728,7 @@ <h3 id="Aplica&#231;&#227;o-de-fun&#231;&#227;o-nas-colunas-e-aplica&#231;&#227;
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[61]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[62]:</div>
 
 
 
@@ -18706,7 +18765,7 @@ <h3 id="Aplica&#231;&#227;o-de-fun&#231;&#227;o-nas-colunas-e-aplica&#231;&#227;
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[62]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[63]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">grouped_renda</span><span class="o">.</span><span class="n">agg</span><span class="p">([</span><span class="s1">&#39;mean&#39;</span><span class="p">,</span><span class="s1">&#39;std&#39;</span><span class="p">,</span><span class="n">peak_to_peak</span><span class="p">])</span>
@@ -18725,7 +18784,7 @@ <h3 id="Aplica&#231;&#227;o-de-fun&#231;&#227;o-nas-colunas-e-aplica&#231;&#227;
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[62]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[63]:</div>
 
 
 
@@ -18846,7 +18905,7 @@ <h3 id="Aplica&#231;&#227;o-de-fun&#231;&#227;o-nas-colunas-e-aplica&#231;&#227;
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[63]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[64]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">grouped_renda</span><span class="o">.</span><span class="n">agg</span><span class="p">([(</span><span class="s1">&#39;Média&#39;</span><span class="p">,</span><span class="s1">&#39;mean&#39;</span><span class="p">),(</span><span class="s1">&#39;Desvio Padrão&#39;</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">)])</span>
@@ -18865,7 +18924,7 @@ <h3 id="Aplica&#231;&#227;o-de-fun&#231;&#227;o-nas-colunas-e-aplica&#231;&#227;
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[63]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[64]:</div>
 
 
 
@@ -18967,14 +19026,347 @@ <h3 id="Aplica&#231;&#227;o-de-fun&#231;&#227;o-nas-colunas-e-aplica&#231;&#227;
 <div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
-<li>Podemos especificar uma lista de funçõs a serem aplicadas em todas as colunas</li>
+<li>Ordenar por uma coluna</li>
+</ul>
+
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[65]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">grouped_renda</span><span class="o">.</span><span class="n">agg</span><span class="p">([(</span><span class="s1">&#39;Média&#39;</span><span class="p">,</span><span class="s1">&#39;mean&#39;</span><span class="p">),(</span><span class="s1">&#39;Desvio Padrão&#39;</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">)])</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s2">&quot;Média&quot;</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[65]:</div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th></th>
+      <th>Média</th>
+      <th>Desvio Padrão</th>
+    </tr>
+    <tr>
+      <th>Gênero</th>
+      <th>Cor2</th>
+      <th></th>
+      <th></th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>Masculino</th>
+      <th>Indígena</th>
+      <td>1081.710938</td>
+      <td>1204.093490</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Feminino</th>
+      <th>Preta</th>
+      <td>1134.596400</td>
+      <td>1349.799809</td>
+    </tr>
+    <tr>
+      <th>Parda</th>
+      <td>1176.758516</td>
+      <td>1596.233048</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Masculino</th>
+      <th>Preta</th>
+      <td>1603.861687</td>
+      <td>1936.309271</td>
+    </tr>
+    <tr>
+      <th>Parda</th>
+      <td>1659.577425</td>
+      <td>2312.087184</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Feminino</th>
+      <th>Branca</th>
+      <td>2109.866750</td>
+      <td>3251.013154</td>
+    </tr>
+    <tr>
+      <th>Indígena</th>
+      <td>2464.386139</td>
+      <td>11957.498292</td>
+    </tr>
+    <tr>
+      <th>Masculino</th>
+      <th>Branca</th>
+      <td>2925.744435</td>
+      <td>4750.791872</td>
+    </tr>
+    <tr>
+      <th>Feminino</th>
+      <th>Amarela</th>
+      <td>3027.341880</td>
+      <td>3731.173660</td>
+    </tr>
+    <tr>
+      <th>Masculino</th>
+      <th>Amarela</th>
+      <td>4758.251064</td>
+      <td>5740.824820</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<ul>
+<li>Filtrando pelos n maiores e menores valores de cada grupo</li>
+</ul>
+
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[66]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dados</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;Gênero&#39;</span><span class="p">])[</span><span class="s2">&quot;Renda&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">nlargest</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[66]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre>Gênero          
+Feminino   43694    120000
+           40934    100000
+Masculino  28110    200000
+           43693    200000
+Name: Renda, dtype: int64</pre>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[67]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dados</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;Gênero&#39;</span><span class="p">])[</span><span class="s2">&quot;Renda&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">nsmallest</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[67]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre>Gênero        
+Feminino   287    0
+           618    0
+Masculino  42     0
+           68     0
+Name: Renda, dtype: int64</pre>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<ul>
+<li>Retornando o n-ésimo valor do dataset</li>
+</ul>
+
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[68]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dados</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;Gênero&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">nth</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span> <span class="c1">#Retornando o terceiro valor de cada grupo</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[68]:</div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>UF</th>
+      <th>Sexo</th>
+      <th>Idade</th>
+      <th>Cor</th>
+      <th>Anos de Estudo</th>
+      <th>Renda</th>
+      <th>Altura</th>
+      <th>Cor2</th>
+    </tr>
+    <tr>
+      <th>Gênero</th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>Feminino</th>
+      <td>11</td>
+      <td>1</td>
+      <td>47</td>
+      <td>8</td>
+      <td>9</td>
+      <td>150</td>
+      <td>1.690631</td>
+      <td>Parda</td>
+    </tr>
+    <tr>
+      <th>Masculino</th>
+      <td>11</td>
+      <td>0</td>
+      <td>57</td>
+      <td>8</td>
+      <td>12</td>
+      <td>3150</td>
+      <td>1.570078</td>
+      <td>Parda</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<ul>
+<li>Podemos especificar uma lista de funções a serem aplicadas em todas as colunas</li>
 </ul>
 
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[64]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[69]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">functions</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;count&#39;</span><span class="p">,</span> <span class="s1">&#39;mean&#39;</span><span class="p">,</span> <span class="s1">&#39;max&#39;</span><span class="p">]</span>
@@ -18988,7 +19380,7 @@ <h3 id="Aplica&#231;&#227;o-de-fun&#231;&#227;o-nas-colunas-e-aplica&#231;&#227;
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[65]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[70]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">result</span> <span class="o">=</span> <span class="n">grouped</span><span class="p">[</span><span class="s1">&#39;Renda&#39;</span><span class="p">,</span> <span class="s1">&#39;Anos de Estudo&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">functions</span><span class="p">)</span>
@@ -19012,7 +19404,7 @@ <h3 id="Aplica&#231;&#227;o-de-fun&#231;&#227;o-nas-colunas-e-aplica&#231;&#227;
 
 
 <div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
-<pre>&lt;ipython-input-65-ba3d09886ef5&gt;:1: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.
+<pre>&lt;ipython-input-70-ba3d09886ef5&gt;:1: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.
   result = grouped[&#39;Renda&#39;, &#39;Anos de Estudo&#39;].agg(functions)
 </pre>
 </div>
@@ -19021,7 +19413,7 @@ <h3 id="Aplica&#231;&#227;o-de-fun&#231;&#227;o-nas-colunas-e-aplica&#231;&#227;
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[65]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[70]:</div>
 
 
 
@@ -19180,7 +19572,7 @@ <h3 id="Aplica&#231;&#227;o-de-fun&#231;&#227;o-nas-colunas-e-aplica&#231;&#227;
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[66]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[71]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">result</span><span class="p">[</span><span class="s1">&#39;Renda&#39;</span><span class="p">]</span>
@@ -19199,7 +19591,7 @@ <h3 id="Aplica&#231;&#227;o-de-fun&#231;&#227;o-nas-colunas-e-aplica&#231;&#227;
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[66]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[71]:</div>
 
 
 
@@ -19320,7 +19712,7 @@ <h3 id="Aplica&#231;&#227;o-de-fun&#231;&#227;o-nas-colunas-e-aplica&#231;&#227;
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[67]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[72]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">ftuples</span> <span class="o">=</span> <span class="p">[(</span><span class="s1">&#39;Média&#39;</span><span class="p">,</span> <span class="s1">&#39;mean&#39;</span><span class="p">),(</span><span class="s1">&#39;Desvio Padrão&#39;</span><span class="p">,</span> <span class="s1">&#39;mad&#39;</span><span class="p">)]</span>
@@ -19334,7 +19726,7 @@ <h3 id="Aplica&#231;&#227;o-de-fun&#231;&#227;o-nas-colunas-e-aplica&#231;&#227;
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[68]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[73]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">grouped</span><span class="p">[</span><span class="s1">&#39;Renda&#39;</span><span class="p">,</span> <span class="s1">&#39;Anos de Estudo&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">ftuples</span><span class="p">)</span>
@@ -19357,7 +19749,7 @@ <h3 id="Aplica&#231;&#227;o-de-fun&#231;&#227;o-nas-colunas-e-aplica&#231;&#227;
 
 
 <div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
-<pre>&lt;ipython-input-68-7dd97c9a50c6&gt;:1: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.
+<pre>&lt;ipython-input-73-7dd97c9a50c6&gt;:1: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.
   grouped[&#39;Renda&#39;, &#39;Anos de Estudo&#39;].agg(ftuples)
 </pre>
 </div>
@@ -19366,7 +19758,7 @@ <h3 id="Aplica&#231;&#227;o-de-fun&#231;&#227;o-nas-colunas-e-aplica&#231;&#227;
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[68]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[73]:</div>
 
 
 
@@ -19514,7 +19906,7 @@ <h3 id="Devolvendo-dados-agregados-sem-&#237;ndices-de-linha">Devolvendo dados a
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[69]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[74]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">dados</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;Gênero&#39;</span><span class="p">,</span> <span class="s1">&#39;Renda&#39;</span><span class="p">],</span> <span class="n">as_index</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
@@ -19533,7 +19925,7 @@ <h3 id="Devolvendo-dados-agregados-sem-&#237;ndices-de-linha">Devolvendo dados a
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[69]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[74]:</div>
 
 
 
@@ -19724,7 +20116,7 @@ <h3 id="Filtrando-dados">Filtrando dados<a class="anchor-link" href="#Filtrando-
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[70]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[75]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">dados</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;UF&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">filter</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[</span><span class="s1">&#39;Renda&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span> <span class="o">&gt;</span> <span class="mi">2000</span><span class="p">)</span>
@@ -19743,7 +20135,7 @@ <h3 id="Filtrando-dados">Filtrando dados<a class="anchor-link" href="#Filtrando-
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[70]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[75]:</div>
 
 
 
diff --git a/04. Aggregation.ipynb b/04. Aggregation.ipynb
index 00cc6a7..d789501 100644
--- a/04. Aggregation.ipynb	
+++ b/04. Aggregation.ipynb	
@@ -829,36 +829,36 @@
        "      <th>0</th>\n",
        "      <td>a</td>\n",
        "      <td>one</td>\n",
-       "      <td>0.553033</td>\n",
-       "      <td>-0.275056</td>\n",
+       "      <td>1.113765</td>\n",
+       "      <td>1.201429</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>a</td>\n",
        "      <td>two</td>\n",
-       "      <td>-0.502761</td>\n",
-       "      <td>-0.087086</td>\n",
+       "      <td>-0.632424</td>\n",
+       "      <td>-0.449736</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>b</td>\n",
        "      <td>one</td>\n",
-       "      <td>-2.234555</td>\n",
-       "      <td>0.455597</td>\n",
+       "      <td>0.629210</td>\n",
+       "      <td>-0.370542</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>b</td>\n",
        "      <td>two</td>\n",
-       "      <td>-2.019072</td>\n",
-       "      <td>1.030227</td>\n",
+       "      <td>-0.699669</td>\n",
+       "      <td>0.136154</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>a</td>\n",
        "      <td>one</td>\n",
-       "      <td>0.729383</td>\n",
-       "      <td>-0.307753</td>\n",
+       "      <td>1.149117</td>\n",
+       "      <td>0.265016</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -866,11 +866,11 @@
       ],
       "text/plain": [
        "  key1 key2     data1     data2\n",
-       "0    a  one  0.553033 -0.275056\n",
-       "1    a  two -0.502761 -0.087086\n",
-       "2    b  one -2.234555  0.455597\n",
-       "3    b  two -2.019072  1.030227\n",
-       "4    a  one  0.729383 -0.307753"
+       "0    a  one  1.113765  1.201429\n",
+       "1    a  two -0.632424 -0.449736\n",
+       "2    b  one  0.629210 -0.370542\n",
+       "3    b  two -0.699669  0.136154\n",
+       "4    a  one  1.149117  0.265016"
       ]
      },
      "execution_count": 16,
@@ -904,7 +904,7 @@
     {
      "data": {
       "text/plain": [
-       "<pandas.core.groupby.generic.SeriesGroupBy object at 0x7fca3ee8bc40>"
+       "<pandas.core.groupby.generic.SeriesGroupBy object at 0x7f83a8f0a6d0>"
       ]
      },
      "execution_count": 17,
@@ -944,8 +944,8 @@
      "data": {
       "text/plain": [
        "key1\n",
-       "a    0.259885\n",
-       "b   -2.126813\n",
+       "a    0.543486\n",
+       "b   -0.035229\n",
        "Name: data1, dtype: float64"
       ]
      },
@@ -976,10 +976,10 @@
      "data": {
       "text/plain": [
        "key1  key2\n",
-       "a     one     0.641208\n",
-       "      two    -0.502761\n",
-       "b     one    -2.234555\n",
-       "      two    -2.019072\n",
+       "a     one     1.131441\n",
+       "      two    -0.632424\n",
+       "b     one     0.629210\n",
+       "      two    -0.699669\n",
        "Name: data1, dtype: float64"
       ]
      },
@@ -1040,13 +1040,13 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>a</th>\n",
-       "      <td>0.641208</td>\n",
-       "      <td>-0.502761</td>\n",
+       "      <td>1.131441</td>\n",
+       "      <td>-0.632424</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>b</th>\n",
-       "      <td>-2.234555</td>\n",
-       "      <td>-2.019072</td>\n",
+       "      <td>0.629210</td>\n",
+       "      <td>-0.699669</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1055,8 +1055,8 @@
       "text/plain": [
        "key2       one       two\n",
        "key1                    \n",
-       "a     0.641208 -0.502761\n",
-       "b    -2.234555 -2.019072"
+       "a     1.131441 -0.632424\n",
+       "b     0.629210 -0.699669"
       ]
      },
      "execution_count": 20,
@@ -1115,13 +1115,13 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>a</th>\n",
-       "      <td>0.259885</td>\n",
-       "      <td>-0.223298</td>\n",
+       "      <td>0.543486</td>\n",
+       "      <td>0.338903</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>b</th>\n",
-       "      <td>-2.126813</td>\n",
-       "      <td>0.742912</td>\n",
+       "      <td>-0.035229</td>\n",
+       "      <td>-0.117194</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1130,8 +1130,8 @@
       "text/plain": [
        "         data1     data2\n",
        "key1                    \n",
-       "a     0.259885 -0.223298\n",
-       "b    -2.126813  0.742912"
+       "a     0.543486  0.338903\n",
+       "b    -0.035229 -0.117194"
       ]
      },
      "execution_count": 21,
@@ -1185,24 +1185,24 @@
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">a</th>\n",
        "      <th>one</th>\n",
-       "      <td>0.641208</td>\n",
-       "      <td>-0.291404</td>\n",
+       "      <td>1.131441</td>\n",
+       "      <td>0.733223</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>two</th>\n",
-       "      <td>-0.502761</td>\n",
-       "      <td>-0.087086</td>\n",
+       "      <td>-0.632424</td>\n",
+       "      <td>-0.449736</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">b</th>\n",
        "      <th>one</th>\n",
-       "      <td>-2.234555</td>\n",
-       "      <td>0.455597</td>\n",
+       "      <td>0.629210</td>\n",
+       "      <td>-0.370542</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>two</th>\n",
-       "      <td>-2.019072</td>\n",
-       "      <td>1.030227</td>\n",
+       "      <td>-0.699669</td>\n",
+       "      <td>0.136154</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1211,10 +1211,10 @@
       "text/plain": [
        "              data1     data2\n",
        "key1 key2                    \n",
-       "a    one   0.641208 -0.291404\n",
-       "     two  -0.502761 -0.087086\n",
-       "b    one  -2.234555  0.455597\n",
-       "     two  -2.019072  1.030227"
+       "a    one   1.131441  0.733223\n",
+       "     two  -0.632424 -0.449736\n",
+       "b    one   0.629210 -0.370542\n",
+       "     two  -0.699669  0.136154"
       ]
      },
      "execution_count": 22,
@@ -1322,36 +1322,36 @@
        "      <th>0</th>\n",
        "      <td>a</td>\n",
        "      <td>one</td>\n",
-       "      <td>0.553033</td>\n",
-       "      <td>-0.275056</td>\n",
+       "      <td>1.113765</td>\n",
+       "      <td>1.201429</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>a</td>\n",
        "      <td>two</td>\n",
-       "      <td>-0.502761</td>\n",
-       "      <td>-0.087086</td>\n",
+       "      <td>-0.632424</td>\n",
+       "      <td>-0.449736</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>b</td>\n",
        "      <td>one</td>\n",
-       "      <td>-2.234555</td>\n",
-       "      <td>0.455597</td>\n",
+       "      <td>0.629210</td>\n",
+       "      <td>-0.370542</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>b</td>\n",
        "      <td>two</td>\n",
-       "      <td>-2.019072</td>\n",
-       "      <td>1.030227</td>\n",
+       "      <td>-0.699669</td>\n",
+       "      <td>0.136154</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>a</td>\n",
        "      <td>one</td>\n",
-       "      <td>0.729383</td>\n",
-       "      <td>-0.307753</td>\n",
+       "      <td>1.149117</td>\n",
+       "      <td>0.265016</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1359,11 +1359,11 @@
       ],
       "text/plain": [
        "  key1 key2     data1     data2\n",
-       "0    a  one  0.553033 -0.275056\n",
-       "1    a  two -0.502761 -0.087086\n",
-       "2    b  one -2.234555  0.455597\n",
-       "3    b  two -2.019072  1.030227\n",
-       "4    a  one  0.729383 -0.307753"
+       "0    a  one  1.113765  1.201429\n",
+       "1    a  two -0.632424 -0.449736\n",
+       "2    b  one  0.629210 -0.370542\n",
+       "3    b  two -0.699669  0.136154\n",
+       "4    a  one  1.149117  0.265016"
       ]
      },
      "execution_count": 24,
@@ -1387,13 +1387,13 @@
      "text": [
       "a\n",
       "  key1 key2     data1     data2\n",
-      "0    a  one  0.553033 -0.275056\n",
-      "1    a  two -0.502761 -0.087086\n",
-      "4    a  one  0.729383 -0.307753\n",
+      "0    a  one  1.113765  1.201429\n",
+      "1    a  two -0.632424 -0.449736\n",
+      "4    a  one  1.149117  0.265016\n",
       "b\n",
       "  key1 key2     data1     data2\n",
-      "2    b  one -2.234555  0.455597\n",
-      "3    b  two -2.019072  1.030227\n"
+      "2    b  one  0.629210 -0.370542\n",
+      "3    b  two -0.699669  0.136154\n"
      ]
     }
    ],
@@ -1415,17 +1415,17 @@
      "text": [
       "('a', 'one')\n",
       "  key1 key2     data1     data2\n",
-      "0    a  one  0.553033 -0.275056\n",
-      "4    a  one  0.729383 -0.307753\n",
+      "0    a  one  1.113765  1.201429\n",
+      "4    a  one  1.149117  0.265016\n",
       "('a', 'two')\n",
       "  key1 key2     data1     data2\n",
-      "1    a  two -0.502761 -0.087086\n",
+      "1    a  two -0.632424 -0.449736\n",
       "('b', 'one')\n",
-      "  key1 key2     data1     data2\n",
-      "2    b  one -2.234555  0.455597\n",
+      "  key1 key2    data1     data2\n",
+      "2    b  one  0.62921 -0.370542\n",
       "('b', 'two')\n",
       "  key1 key2     data1     data2\n",
-      "3    b  two -2.019072  1.030227\n"
+      "3    b  two -0.699669  0.136154\n"
      ]
     }
    ],
@@ -1498,22 +1498,22 @@
        "      <th>0</th>\n",
        "      <td>a</td>\n",
        "      <td>one</td>\n",
-       "      <td>0.553033</td>\n",
-       "      <td>-0.275056</td>\n",
+       "      <td>1.113765</td>\n",
+       "      <td>1.201429</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>a</td>\n",
        "      <td>two</td>\n",
-       "      <td>-0.502761</td>\n",
-       "      <td>-0.087086</td>\n",
+       "      <td>-0.632424</td>\n",
+       "      <td>-0.449736</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>a</td>\n",
        "      <td>one</td>\n",
-       "      <td>0.729383</td>\n",
-       "      <td>-0.307753</td>\n",
+       "      <td>1.149117</td>\n",
+       "      <td>0.265016</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1521,9 +1521,9 @@
       ],
       "text/plain": [
        "  key1 key2     data1     data2\n",
-       "0    a  one  0.553033 -0.275056\n",
-       "1    a  two -0.502761 -0.087086\n",
-       "4    a  one  0.729383 -0.307753"
+       "0    a  one  1.113765  1.201429\n",
+       "1    a  two -0.632424 -0.449736\n",
+       "4    a  one  1.149117  0.265016"
       ]
      },
      "execution_count": 28,
@@ -1582,15 +1582,15 @@
        "      <th>2</th>\n",
        "      <td>b</td>\n",
        "      <td>one</td>\n",
-       "      <td>-2.234555</td>\n",
-       "      <td>0.455597</td>\n",
+       "      <td>0.629210</td>\n",
+       "      <td>-0.370542</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>b</td>\n",
        "      <td>two</td>\n",
-       "      <td>-2.019072</td>\n",
-       "      <td>1.030227</td>\n",
+       "      <td>-0.699669</td>\n",
+       "      <td>0.136154</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1598,8 +1598,8 @@
       ],
       "text/plain": [
        "  key1 key2     data1     data2\n",
-       "2    b  one -2.234555  0.455597\n",
-       "3    b  two -2.019072  1.030227"
+       "2    b  one  0.629210 -0.370542\n",
+       "3    b  two -0.699669  0.136154"
       ]
      },
      "execution_count": 29,
@@ -1631,12 +1631,12 @@
      "data": {
       "text/plain": [
        "{'a':   key1 key2     data1     data2\n",
-       " 0    a  one  0.553033 -0.275056\n",
-       " 1    a  two -0.502761 -0.087086\n",
-       " 4    a  one  0.729383 -0.307753,\n",
+       " 0    a  one  1.113765  1.201429\n",
+       " 1    a  two -0.632424 -0.449736\n",
+       " 4    a  one  1.149117  0.265016,\n",
        " 'b':   key1 key2     data1     data2\n",
-       " 2    b  one -2.234555  0.455597\n",
-       " 3    b  two -2.019072  1.030227}"
+       " 2    b  one  0.629210 -0.370542\n",
+       " 3    b  two -0.699669  0.136154}"
       ]
      },
      "execution_count": 30,
@@ -1687,15 +1687,15 @@
        "      <th>2</th>\n",
        "      <td>b</td>\n",
        "      <td>one</td>\n",
-       "      <td>-2.234555</td>\n",
-       "      <td>0.455597</td>\n",
+       "      <td>0.629210</td>\n",
+       "      <td>-0.370542</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>b</td>\n",
        "      <td>two</td>\n",
-       "      <td>-2.019072</td>\n",
-       "      <td>1.030227</td>\n",
+       "      <td>-0.699669</td>\n",
+       "      <td>0.136154</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1703,8 +1703,8 @@
       ],
       "text/plain": [
        "  key1 key2     data1     data2\n",
-       "2    b  one -2.234555  0.455597\n",
-       "3    b  two -2.019072  1.030227"
+       "2    b  one  0.629210 -0.370542\n",
+       "3    b  two -0.699669  0.136154"
       ]
      },
      "execution_count": 31,
@@ -1742,10 +1742,10 @@
      "data": {
       "text/plain": [
        "key1  key2\n",
-       "a     one     0.641208\n",
-       "      two    -0.502761\n",
-       "b     one    -2.234555\n",
-       "      two    -2.019072\n",
+       "a     one     1.131441\n",
+       "      two    -0.632424\n",
+       "b     one     0.629210\n",
+       "      two    -0.699669\n",
        "Name: data1, dtype: float64"
       ]
      },
@@ -1806,20 +1806,20 @@
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">a</th>\n",
        "      <th>one</th>\n",
-       "      <td>0.641208</td>\n",
+       "      <td>1.131441</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>two</th>\n",
-       "      <td>-0.502761</td>\n",
+       "      <td>-0.632424</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">b</th>\n",
        "      <th>one</th>\n",
-       "      <td>-2.234555</td>\n",
+       "      <td>0.629210</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>two</th>\n",
-       "      <td>-2.019072</td>\n",
+       "      <td>-0.699669</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1828,10 +1828,10 @@
       "text/plain": [
        "              data1\n",
        "key1 key2          \n",
-       "a    one   0.641208\n",
-       "     two  -0.502761\n",
-       "b    one  -2.234555\n",
-       "     two  -2.019072"
+       "a    one   1.131441\n",
+       "     two  -0.632424\n",
+       "b    one   0.629210\n",
+       "     two  -0.699669"
       ]
      },
      "execution_count": 33,
@@ -1888,43 +1888,43 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>Joe</th>\n",
-       "      <td>-1.270939</td>\n",
-       "      <td>-0.453299</td>\n",
-       "      <td>-0.063081</td>\n",
-       "      <td>-2.144573</td>\n",
-       "      <td>0.137126</td>\n",
+       "      <td>0.122528</td>\n",
+       "      <td>1.843844</td>\n",
+       "      <td>-0.320371</td>\n",
+       "      <td>-1.443436</td>\n",
+       "      <td>-0.287311</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Steve</th>\n",
-       "      <td>-0.433835</td>\n",
-       "      <td>0.778746</td>\n",
-       "      <td>0.572547</td>\n",
-       "      <td>0.332721</td>\n",
-       "      <td>0.809772</td>\n",
+       "      <td>1.059765</td>\n",
+       "      <td>-0.862856</td>\n",
+       "      <td>0.937505</td>\n",
+       "      <td>-0.044146</td>\n",
+       "      <td>-0.785330</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Wes</th>\n",
-       "      <td>0.620639</td>\n",
-       "      <td>0.879264</td>\n",
-       "      <td>1.351556</td>\n",
-       "      <td>0.742441</td>\n",
-       "      <td>0.639998</td>\n",
+       "      <td>0.699457</td>\n",
+       "      <td>1.239113</td>\n",
+       "      <td>0.708434</td>\n",
+       "      <td>-0.032737</td>\n",
+       "      <td>-0.392959</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Jim</th>\n",
-       "      <td>-1.276242</td>\n",
-       "      <td>-0.489946</td>\n",
-       "      <td>0.091790</td>\n",
-       "      <td>-0.541705</td>\n",
-       "      <td>-0.383573</td>\n",
+       "      <td>-0.365546</td>\n",
+       "      <td>-0.318528</td>\n",
+       "      <td>-1.786501</td>\n",
+       "      <td>-1.116975</td>\n",
+       "      <td>-1.292874</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mike</th>\n",
-       "      <td>-2.172602</td>\n",
-       "      <td>-1.070150</td>\n",
-       "      <td>0.197160</td>\n",
-       "      <td>1.378175</td>\n",
-       "      <td>-0.627305</td>\n",
+       "      <td>0.018739</td>\n",
+       "      <td>0.757862</td>\n",
+       "      <td>-1.081231</td>\n",
+       "      <td>0.725321</td>\n",
+       "      <td>1.026412</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1932,11 +1932,11 @@
       ],
       "text/plain": [
        "              a         b         c         d         e\n",
-       "Joe   -1.270939 -0.453299 -0.063081 -2.144573  0.137126\n",
-       "Steve -0.433835  0.778746  0.572547  0.332721  0.809772\n",
-       "Wes    0.620639  0.879264  1.351556  0.742441  0.639998\n",
-       "Jim   -1.276242 -0.489946  0.091790 -0.541705 -0.383573\n",
-       "Mike  -2.172602 -1.070150  0.197160  1.378175 -0.627305"
+       "Joe    0.122528  1.843844 -0.320371 -1.443436 -0.287311\n",
+       "Steve  1.059765 -0.862856  0.937505 -0.044146 -0.785330\n",
+       "Wes    0.699457  1.239113  0.708434 -0.032737 -0.392959\n",
+       "Jim   -0.365546 -0.318528 -1.786501 -1.116975 -1.292874\n",
+       "Mike   0.018739  0.757862 -1.081231  0.725321  1.026412"
       ]
      },
      "execution_count": 34,
@@ -1988,43 +1988,43 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>Joe</th>\n",
-       "      <td>-1.270939</td>\n",
-       "      <td>-0.453299</td>\n",
-       "      <td>-0.063081</td>\n",
-       "      <td>-2.144573</td>\n",
-       "      <td>0.137126</td>\n",
+       "      <td>0.122528</td>\n",
+       "      <td>1.843844</td>\n",
+       "      <td>-0.320371</td>\n",
+       "      <td>-1.443436</td>\n",
+       "      <td>-0.287311</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Steve</th>\n",
-       "      <td>-0.433835</td>\n",
-       "      <td>0.778746</td>\n",
-       "      <td>0.572547</td>\n",
-       "      <td>0.332721</td>\n",
-       "      <td>0.809772</td>\n",
+       "      <td>1.059765</td>\n",
+       "      <td>-0.862856</td>\n",
+       "      <td>0.937505</td>\n",
+       "      <td>-0.044146</td>\n",
+       "      <td>-0.785330</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Wes</th>\n",
-       "      <td>0.620639</td>\n",
+       "      <td>0.699457</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.742441</td>\n",
-       "      <td>0.639998</td>\n",
+       "      <td>-0.032737</td>\n",
+       "      <td>-0.392959</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Jim</th>\n",
-       "      <td>-1.276242</td>\n",
-       "      <td>-0.489946</td>\n",
-       "      <td>0.091790</td>\n",
-       "      <td>-0.541705</td>\n",
-       "      <td>-0.383573</td>\n",
+       "      <td>-0.365546</td>\n",
+       "      <td>-0.318528</td>\n",
+       "      <td>-1.786501</td>\n",
+       "      <td>-1.116975</td>\n",
+       "      <td>-1.292874</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mike</th>\n",
-       "      <td>-2.172602</td>\n",
-       "      <td>-1.070150</td>\n",
-       "      <td>0.197160</td>\n",
-       "      <td>1.378175</td>\n",
-       "      <td>-0.627305</td>\n",
+       "      <td>0.018739</td>\n",
+       "      <td>0.757862</td>\n",
+       "      <td>-1.081231</td>\n",
+       "      <td>0.725321</td>\n",
+       "      <td>1.026412</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2032,11 +2032,11 @@
       ],
       "text/plain": [
        "              a         b         c         d         e\n",
-       "Joe   -1.270939 -0.453299 -0.063081 -2.144573  0.137126\n",
-       "Steve -0.433835  0.778746  0.572547  0.332721  0.809772\n",
-       "Wes    0.620639       NaN       NaN  0.742441  0.639998\n",
-       "Jim   -1.276242 -0.489946  0.091790 -0.541705 -0.383573\n",
-       "Mike  -2.172602 -1.070150  0.197160  1.378175 -0.627305"
+       "Joe    0.122528  1.843844 -0.320371 -1.443436 -0.287311\n",
+       "Steve  1.059765 -0.862856  0.937505 -0.044146 -0.785330\n",
+       "Wes    0.699457       NaN       NaN -0.032737 -0.392959\n",
+       "Jim   -0.365546 -0.318528 -1.786501 -1.116975 -1.292874\n",
+       "Mike   0.018739  0.757862 -1.081231  0.725321  1.026412"
       ]
      },
      "execution_count": 35,
@@ -2093,28 +2093,28 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>Joe</th>\n",
-       "      <td>-2.207655</td>\n",
-       "      <td>-1.587113</td>\n",
+       "      <td>-1.763807</td>\n",
+       "      <td>1.679062</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Steve</th>\n",
-       "      <td>0.905268</td>\n",
-       "      <td>1.154683</td>\n",
+       "      <td>0.893359</td>\n",
+       "      <td>-0.588421</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Wes</th>\n",
-       "      <td>0.742441</td>\n",
-       "      <td>1.260637</td>\n",
+       "      <td>-0.032737</td>\n",
+       "      <td>0.306499</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Jim</th>\n",
-       "      <td>-0.449915</td>\n",
-       "      <td>-2.149761</td>\n",
+       "      <td>-2.903475</td>\n",
+       "      <td>-1.976948</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mike</th>\n",
-       "      <td>1.575335</td>\n",
-       "      <td>-3.870057</td>\n",
+       "      <td>-0.355910</td>\n",
+       "      <td>1.803014</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2122,11 +2122,11 @@
       ],
       "text/plain": [
        "           blue       red\n",
-       "Joe   -2.207655 -1.587113\n",
-       "Steve  0.905268  1.154683\n",
-       "Wes    0.742441  1.260637\n",
-       "Jim   -0.449915 -2.149761\n",
-       "Mike   1.575335 -3.870057"
+       "Joe   -1.763807  1.679062\n",
+       "Steve  0.893359 -0.588421\n",
+       "Wes   -0.032737  0.306499\n",
+       "Jim   -2.903475 -1.976948\n",
+       "Mike  -0.355910  1.803014"
       ]
      },
      "execution_count": 37,
@@ -2314,43 +2314,43 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>Joe</th>\n",
-       "      <td>-1.270939</td>\n",
-       "      <td>-0.453299</td>\n",
-       "      <td>-0.063081</td>\n",
-       "      <td>-2.144573</td>\n",
-       "      <td>0.137126</td>\n",
+       "      <td>0.122528</td>\n",
+       "      <td>1.843844</td>\n",
+       "      <td>-0.320371</td>\n",
+       "      <td>-1.443436</td>\n",
+       "      <td>-0.287311</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Steve</th>\n",
-       "      <td>-0.433835</td>\n",
-       "      <td>0.778746</td>\n",
-       "      <td>0.572547</td>\n",
-       "      <td>0.332721</td>\n",
-       "      <td>0.809772</td>\n",
+       "      <td>1.059765</td>\n",
+       "      <td>-0.862856</td>\n",
+       "      <td>0.937505</td>\n",
+       "      <td>-0.044146</td>\n",
+       "      <td>-0.785330</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Wes</th>\n",
-       "      <td>0.620639</td>\n",
+       "      <td>0.699457</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.742441</td>\n",
-       "      <td>0.639998</td>\n",
+       "      <td>-0.032737</td>\n",
+       "      <td>-0.392959</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Jim</th>\n",
-       "      <td>-1.276242</td>\n",
-       "      <td>-0.489946</td>\n",
-       "      <td>0.091790</td>\n",
-       "      <td>-0.541705</td>\n",
-       "      <td>-0.383573</td>\n",
+       "      <td>-0.365546</td>\n",
+       "      <td>-0.318528</td>\n",
+       "      <td>-1.786501</td>\n",
+       "      <td>-1.116975</td>\n",
+       "      <td>-1.292874</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mike</th>\n",
-       "      <td>-2.172602</td>\n",
-       "      <td>-1.070150</td>\n",
-       "      <td>0.197160</td>\n",
-       "      <td>1.378175</td>\n",
-       "      <td>-0.627305</td>\n",
+       "      <td>0.018739</td>\n",
+       "      <td>0.757862</td>\n",
+       "      <td>-1.081231</td>\n",
+       "      <td>0.725321</td>\n",
+       "      <td>1.026412</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2358,11 +2358,11 @@
       ],
       "text/plain": [
        "              a         b         c         d         e\n",
-       "Joe   -1.270939 -0.453299 -0.063081 -2.144573  0.137126\n",
-       "Steve -0.433835  0.778746  0.572547  0.332721  0.809772\n",
-       "Wes    0.620639       NaN       NaN  0.742441  0.639998\n",
-       "Jim   -1.276242 -0.489946  0.091790 -0.541705 -0.383573\n",
-       "Mike  -2.172602 -1.070150  0.197160  1.378175 -0.627305"
+       "Joe    0.122528  1.843844 -0.320371 -1.443436 -0.287311\n",
+       "Steve  1.059765 -0.862856  0.937505 -0.044146 -0.785330\n",
+       "Wes    0.699457       NaN       NaN -0.032737 -0.392959\n",
+       "Jim   -0.365546 -0.318528 -1.786501 -1.116975 -1.292874\n",
+       "Mike   0.018739  0.757862 -1.081231  0.725321  1.026412"
       ]
      },
      "execution_count": 40,
@@ -2411,27 +2411,27 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>-1.926542</td>\n",
-       "      <td>-0.943245</td>\n",
-       "      <td>0.028709</td>\n",
-       "      <td>-1.943838</td>\n",
-       "      <td>0.393550</td>\n",
+       "      <td>0.456439</td>\n",
+       "      <td>1.525316</td>\n",
+       "      <td>-2.106871</td>\n",
+       "      <td>-2.593148</td>\n",
+       "      <td>-1.973143</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>-2.172602</td>\n",
-       "      <td>-1.070150</td>\n",
-       "      <td>0.197160</td>\n",
-       "      <td>1.378175</td>\n",
-       "      <td>-0.627305</td>\n",
+       "      <td>0.018739</td>\n",
+       "      <td>0.757862</td>\n",
+       "      <td>-1.081231</td>\n",
+       "      <td>0.725321</td>\n",
+       "      <td>1.026412</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>-0.433835</td>\n",
-       "      <td>0.778746</td>\n",
-       "      <td>0.572547</td>\n",
-       "      <td>0.332721</td>\n",
-       "      <td>0.809772</td>\n",
+       "      <td>1.059765</td>\n",
+       "      <td>-0.862856</td>\n",
+       "      <td>0.937505</td>\n",
+       "      <td>-0.044146</td>\n",
+       "      <td>-0.785330</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2439,9 +2439,9 @@
       ],
       "text/plain": [
        "          a         b         c         d         e\n",
-       "3 -1.926542 -0.943245  0.028709 -1.943838  0.393550\n",
-       "4 -2.172602 -1.070150  0.197160  1.378175 -0.627305\n",
-       "5 -0.433835  0.778746  0.572547  0.332721  0.809772"
+       "3  0.456439  1.525316 -2.106871 -2.593148 -1.973143\n",
+       "4  0.018739  0.757862 -1.081231  0.725321  1.026412\n",
+       "5  1.059765 -0.862856  0.937505 -0.044146 -0.785330"
       ]
      },
      "execution_count": 41,
@@ -2507,36 +2507,36 @@
        "      <th>0</th>\n",
        "      <td>a</td>\n",
        "      <td>one</td>\n",
-       "      <td>0.553033</td>\n",
-       "      <td>-0.275056</td>\n",
+       "      <td>1.113765</td>\n",
+       "      <td>1.201429</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>a</td>\n",
        "      <td>two</td>\n",
-       "      <td>-0.502761</td>\n",
-       "      <td>-0.087086</td>\n",
+       "      <td>-0.632424</td>\n",
+       "      <td>-0.449736</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>b</td>\n",
        "      <td>one</td>\n",
-       "      <td>-2.234555</td>\n",
-       "      <td>0.455597</td>\n",
+       "      <td>0.629210</td>\n",
+       "      <td>-0.370542</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>b</td>\n",
        "      <td>two</td>\n",
-       "      <td>-2.019072</td>\n",
-       "      <td>1.030227</td>\n",
+       "      <td>-0.699669</td>\n",
+       "      <td>0.136154</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>a</td>\n",
        "      <td>one</td>\n",
-       "      <td>0.729383</td>\n",
-       "      <td>-0.307753</td>\n",
+       "      <td>1.149117</td>\n",
+       "      <td>0.265016</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2544,11 +2544,11 @@
       ],
       "text/plain": [
        "  key1 key2     data1     data2\n",
-       "0    a  one  0.553033 -0.275056\n",
-       "1    a  two -0.502761 -0.087086\n",
-       "2    b  one -2.234555  0.455597\n",
-       "3    b  two -2.019072  1.030227\n",
-       "4    a  one  0.729383 -0.307753"
+       "0    a  one  1.113765  1.201429\n",
+       "1    a  two -0.632424 -0.449736\n",
+       "2    b  one  0.629210 -0.370542\n",
+       "3    b  two -0.699669  0.136154\n",
+       "4    a  one  1.149117  0.265016"
       ]
      },
      "execution_count": 42,
@@ -2670,13 +2670,13 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>a</th>\n",
-       "      <td>0.779655</td>\n",
-       "      <td>-0.669894</td>\n",
+       "      <td>1.630458</td>\n",
+       "      <td>1.016709</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>b</th>\n",
-       "      <td>-4.253627</td>\n",
-       "      <td>1.485823</td>\n",
+       "      <td>-0.070458</td>\n",
+       "      <td>-0.234388</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2685,8 +2685,8 @@
       "text/plain": [
        "         data1     data2\n",
        "key1                    \n",
-       "a     0.779655 -0.669894\n",
-       "b    -4.253627  1.485823"
+       "a     1.630458  1.016709\n",
+       "b    -0.070458 -0.234388"
       ]
      },
      "execution_count": 44,
@@ -2737,13 +2737,13 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>a</th>\n",
-       "      <td>0.259885</td>\n",
-       "      <td>-0.223298</td>\n",
+       "      <td>0.543486</td>\n",
+       "      <td>0.338903</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>b</th>\n",
-       "      <td>-2.126813</td>\n",
-       "      <td>0.742912</td>\n",
+       "      <td>-0.035229</td>\n",
+       "      <td>-0.117194</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2752,8 +2752,8 @@
       "text/plain": [
        "         data1     data2\n",
        "key1                    \n",
-       "a     0.259885 -0.223298\n",
-       "b    -2.126813  0.742912"
+       "a     0.543486  0.338903\n",
+       "b    -0.035229 -0.117194"
       ]
      },
      "execution_count": 45,
@@ -2804,13 +2804,13 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>a</th>\n",
-       "      <td>0.553033</td>\n",
-       "      <td>-0.275056</td>\n",
+       "      <td>1.113765</td>\n",
+       "      <td>0.265016</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>b</th>\n",
-       "      <td>-2.126813</td>\n",
-       "      <td>0.742912</td>\n",
+       "      <td>-0.035229</td>\n",
+       "      <td>-0.117194</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2819,8 +2819,8 @@
       "text/plain": [
        "         data1     data2\n",
        "key1                    \n",
-       "a     0.553033 -0.275056\n",
-       "b    -2.126813  0.742912"
+       "a     1.113765  0.265016\n",
+       "b    -0.035229 -0.117194"
       ]
      },
      "execution_count": 46,
@@ -2871,13 +2871,13 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>a</th>\n",
-       "      <td>0.666330</td>\n",
-       "      <td>0.119091</td>\n",
+       "      <td>1.018521</td>\n",
+       "      <td>0.828059</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>b</th>\n",
-       "      <td>0.152369</td>\n",
-       "      <td>0.406325</td>\n",
+       "      <td>0.939659</td>\n",
+       "      <td>0.358288</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2886,8 +2886,8 @@
       "text/plain": [
        "         data1     data2\n",
        "key1                    \n",
-       "a     0.666330  0.119091\n",
-       "b     0.152369  0.406325"
+       "a     1.018521  0.828059\n",
+       "b     0.939659  0.358288"
       ]
      },
      "execution_count": 47,
@@ -2941,14 +2941,14 @@
        "    <tr>\n",
        "      <th>a</th>\n",
        "      <td>one</td>\n",
-       "      <td>-0.502761</td>\n",
-       "      <td>-0.307753</td>\n",
+       "      <td>-0.632424</td>\n",
+       "      <td>-0.449736</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>b</th>\n",
        "      <td>one</td>\n",
-       "      <td>-2.234555</td>\n",
-       "      <td>0.455597</td>\n",
+       "      <td>-0.699669</td>\n",
+       "      <td>-0.370542</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2957,8 +2957,8 @@
       "text/plain": [
        "     key2     data1     data2\n",
        "key1                         \n",
-       "a     one -0.502761 -0.307753\n",
-       "b     one -2.234555  0.455597"
+       "a     one -0.632424 -0.449736\n",
+       "b     one -0.699669 -0.370542"
       ]
      },
      "execution_count": 48,
@@ -3012,14 +3012,14 @@
        "    <tr>\n",
        "      <th>a</th>\n",
        "      <td>two</td>\n",
-       "      <td>0.729383</td>\n",
-       "      <td>-0.087086</td>\n",
+       "      <td>1.149117</td>\n",
+       "      <td>1.201429</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>b</th>\n",
        "      <td>two</td>\n",
-       "      <td>-2.019072</td>\n",
-       "      <td>1.030227</td>\n",
+       "      <td>0.629210</td>\n",
+       "      <td>0.136154</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -3028,8 +3028,8 @@
       "text/plain": [
        "     key2     data1     data2\n",
        "key1                         \n",
-       "a     two  0.729383 -0.087086\n",
-       "b     two -2.019072  1.030227"
+       "a     two  1.149117  1.201429\n",
+       "b     two  0.629210  0.136154"
       ]
      },
      "execution_count": 49,
@@ -3080,13 +3080,13 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>a</th>\n",
-       "      <td>-0.202800</td>\n",
-       "      <td>-0.007372</td>\n",
+       "      <td>-0.809406</td>\n",
+       "      <td>-0.143195</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>b</th>\n",
-       "      <td>4.511727</td>\n",
-       "      <td>0.469368</td>\n",
+       "      <td>-0.440239</td>\n",
+       "      <td>-0.050451</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -3095,8 +3095,8 @@
       "text/plain": [
        "         data1     data2\n",
        "key1                    \n",
-       "a    -0.202800 -0.007372\n",
-       "b     4.511727  0.469368"
+       "a    -0.809406 -0.143195\n",
+       "b    -0.440239 -0.050451"
       ]
      },
      "execution_count": 50,
@@ -3150,14 +3150,14 @@
        "    <tr>\n",
        "      <th>a</th>\n",
        "      <td>one</td>\n",
-       "      <td>0.553033</td>\n",
-       "      <td>-0.275056</td>\n",
+       "      <td>1.113765</td>\n",
+       "      <td>1.201429</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>b</th>\n",
        "      <td>one</td>\n",
-       "      <td>-2.234555</td>\n",
-       "      <td>0.455597</td>\n",
+       "      <td>0.629210</td>\n",
+       "      <td>-0.370542</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -3166,8 +3166,8 @@
       "text/plain": [
        "     key2     data1     data2\n",
        "key1                         \n",
-       "a     one  0.553033 -0.275056\n",
-       "b     one -2.234555  0.455597"
+       "a     one  1.113765  1.201429\n",
+       "b     one  0.629210 -0.370542"
       ]
      },
      "execution_count": 51,
@@ -3221,14 +3221,14 @@
        "    <tr>\n",
        "      <th>a</th>\n",
        "      <td>one</td>\n",
-       "      <td>0.729383</td>\n",
-       "      <td>-0.307753</td>\n",
+       "      <td>1.149117</td>\n",
+       "      <td>0.265016</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>b</th>\n",
        "      <td>two</td>\n",
-       "      <td>-2.019072</td>\n",
-       "      <td>1.030227</td>\n",
+       "      <td>-0.699669</td>\n",
+       "      <td>0.136154</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -3237,8 +3237,8 @@
       "text/plain": [
        "     key2     data1     data2\n",
        "key1                         \n",
-       "a     one  0.729383 -0.307753\n",
-       "b     two -2.019072  1.030227"
+       "a     one  1.149117  0.265016\n",
+       "b     two -0.699669  0.136154"
       ]
      },
      "execution_count": 52,
@@ -3268,8 +3268,8 @@
      "data": {
       "text/plain": [
        "key1\n",
-       "a    0.694113\n",
-       "b   -2.040620\n",
+       "a    1.142047\n",
+       "b    0.496322\n",
        "Name: data1, dtype: float64"
       ]
      },
@@ -3341,13 +3341,13 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>a</th>\n",
-       "      <td>1.232144</td>\n",
-       "      <td>0.220667</td>\n",
+       "      <td>1.781541</td>\n",
+       "      <td>1.651165</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>b</th>\n",
-       "      <td>0.215482</td>\n",
-       "      <td>0.574630</td>\n",
+       "      <td>1.328879</td>\n",
+       "      <td>0.506696</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -3356,8 +3356,8 @@
       "text/plain": [
        "         data1     data2\n",
        "key1                    \n",
-       "a     1.232144  0.220667\n",
-       "b     0.215482  0.574630"
+       "a     1.781541  1.651165\n",
+       "b     1.328879  0.506696"
       ]
      },
      "execution_count": 55,
@@ -3369,6 +3369,14 @@
     "grouped.agg(peak_to_peak)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "88fabc14",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "id": "7527bff3",
@@ -3830,15 +3838,44 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8b905a50",
+   "id": "44457c6c",
    "metadata": {},
    "source": [
-    "- Observe que, para estatísticas descritivas, podemos passa o nome da função como uma string"
+    "- Retornando quantos grupos foram gerados"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 61,
+   "id": "4c95053d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "10"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "grouped.ngroups"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8b905a50",
+   "metadata": {},
+   "source": [
+    "- Observe que, para estatísticas descritivas, podemos passar o nome da função como uma string"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
    "id": "ec546768",
    "metadata": {},
    "outputs": [
@@ -3859,7 +3896,7 @@
        "Name: Renda, dtype: float64"
       ]
      },
-     "execution_count": 61,
+     "execution_count": 62,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3879,7 +3916,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 63,
    "id": "01ed1d09",
    "metadata": {},
    "outputs": [
@@ -3999,7 +4036,7 @@
        "          Preta     1603.861687   1936.309271         50000"
       ]
      },
-     "execution_count": 62,
+     "execution_count": 63,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4018,7 +4055,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 64,
    "id": "775e7cef",
    "metadata": {},
    "outputs": [
@@ -4126,7 +4163,7 @@
        "          Preta     1603.861687    1936.309271"
       ]
      },
-     "execution_count": 63,
+     "execution_count": 64,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4135,17 +4172,308 @@
     "grouped_renda.agg([('Média','mean'),('Desvio Padrão',np.std)])"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "ce799833",
+   "metadata": {},
+   "source": [
+    "- Ordenar por uma coluna"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "id": "0e3d9655",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>Média</th>\n",
+       "      <th>Desvio Padrão</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Gênero</th>\n",
+       "      <th>Cor2</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Masculino</th>\n",
+       "      <th>Indígena</th>\n",
+       "      <td>1081.710938</td>\n",
+       "      <td>1204.093490</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Feminino</th>\n",
+       "      <th>Preta</th>\n",
+       "      <td>1134.596400</td>\n",
+       "      <td>1349.799809</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Parda</th>\n",
+       "      <td>1176.758516</td>\n",
+       "      <td>1596.233048</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Masculino</th>\n",
+       "      <th>Preta</th>\n",
+       "      <td>1603.861687</td>\n",
+       "      <td>1936.309271</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Parda</th>\n",
+       "      <td>1659.577425</td>\n",
+       "      <td>2312.087184</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Feminino</th>\n",
+       "      <th>Branca</th>\n",
+       "      <td>2109.866750</td>\n",
+       "      <td>3251.013154</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Indígena</th>\n",
+       "      <td>2464.386139</td>\n",
+       "      <td>11957.498292</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Masculino</th>\n",
+       "      <th>Branca</th>\n",
+       "      <td>2925.744435</td>\n",
+       "      <td>4750.791872</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Feminino</th>\n",
+       "      <th>Amarela</th>\n",
+       "      <td>3027.341880</td>\n",
+       "      <td>3731.173660</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Masculino</th>\n",
+       "      <th>Amarela</th>\n",
+       "      <td>4758.251064</td>\n",
+       "      <td>5740.824820</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                          Média  Desvio Padrão\n",
+       "Gênero    Cor2                                \n",
+       "Masculino Indígena  1081.710938    1204.093490\n",
+       "Feminino  Preta     1134.596400    1349.799809\n",
+       "          Parda     1176.758516    1596.233048\n",
+       "Masculino Preta     1603.861687    1936.309271\n",
+       "          Parda     1659.577425    2312.087184\n",
+       "Feminino  Branca    2109.866750    3251.013154\n",
+       "          Indígena  2464.386139   11957.498292\n",
+       "Masculino Branca    2925.744435    4750.791872\n",
+       "Feminino  Amarela   3027.341880    3731.173660\n",
+       "Masculino Amarela   4758.251064    5740.824820"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "grouped_renda.agg([('Média','mean'),('Desvio Padrão',np.std)]).sort_values(by=\"Média\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3f518e4b",
+   "metadata": {},
+   "source": [
+    "- Filtrando pelos n maiores e menores valores de cada grupo"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "id": "fd243d96",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Gênero          \n",
+       "Feminino   43694    120000\n",
+       "           40934    100000\n",
+       "Masculino  28110    200000\n",
+       "           43693    200000\n",
+       "Name: Renda, dtype: int64"
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dados.groupby(['Gênero'])[\"Renda\"].nlargest(2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "id": "cac7d60c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Gênero        \n",
+       "Feminino   287    0\n",
+       "           618    0\n",
+       "Masculino  42     0\n",
+       "           68     0\n",
+       "Name: Renda, dtype: int64"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dados.groupby(['Gênero'])[\"Renda\"].nsmallest(2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09694a05",
+   "metadata": {},
+   "source": [
+    "- Retornando o n-ésimo valor do dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "id": "6def9471",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>UF</th>\n",
+       "      <th>Sexo</th>\n",
+       "      <th>Idade</th>\n",
+       "      <th>Cor</th>\n",
+       "      <th>Anos de Estudo</th>\n",
+       "      <th>Renda</th>\n",
+       "      <th>Altura</th>\n",
+       "      <th>Cor2</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Gênero</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Feminino</th>\n",
+       "      <td>11</td>\n",
+       "      <td>1</td>\n",
+       "      <td>47</td>\n",
+       "      <td>8</td>\n",
+       "      <td>9</td>\n",
+       "      <td>150</td>\n",
+       "      <td>1.690631</td>\n",
+       "      <td>Parda</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Masculino</th>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "      <td>57</td>\n",
+       "      <td>8</td>\n",
+       "      <td>12</td>\n",
+       "      <td>3150</td>\n",
+       "      <td>1.570078</td>\n",
+       "      <td>Parda</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           UF  Sexo  Idade  Cor  Anos de Estudo  Renda    Altura   Cor2\n",
+       "Gênero                                                                 \n",
+       "Feminino   11     1     47    8               9    150  1.690631  Parda\n",
+       "Masculino  11     0     57    8              12   3150  1.570078  Parda"
+      ]
+     },
+     "execution_count": 68,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dados.groupby(['Gênero']).nth(2) #Retornando o terceiro valor de cada grupo"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "297bb4a7",
    "metadata": {},
    "source": [
-    "- Podemos especificar uma lista de funçõs a serem aplicadas em todas as colunas"
+    "- Podemos especificar uma lista de funções a serem aplicadas em todas as colunas"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 69,
    "id": "f44a1529",
    "metadata": {},
    "outputs": [],
@@ -4155,7 +4483,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 70,
    "id": "93bd2fa6",
    "metadata": {},
    "outputs": [
@@ -4163,7 +4491,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "<ipython-input-65-ba3d09886ef5>:1: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
+      "<ipython-input-70-ba3d09886ef5>:1: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
       "  result = grouped['Renda', 'Anos de Estudo'].agg(functions)\n"
      ]
     },
@@ -4330,7 +4658,7 @@
        "          Preta      5502  1603.861687   50000           5502   8.514540  17"
       ]
      },
-     "execution_count": 65,
+     "execution_count": 70,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4342,7 +4670,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 71,
    "id": "24445be3",
    "metadata": {},
    "outputs": [
@@ -4462,7 +4790,7 @@
        "          Preta      5502  1603.861687   50000"
       ]
      },
-     "execution_count": 66,
+     "execution_count": 71,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4481,7 +4809,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 72,
    "id": "8cabc276",
    "metadata": {},
    "outputs": [],
@@ -4491,7 +4819,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 73,
    "id": "c3f91842",
    "metadata": {},
    "outputs": [
@@ -4499,7 +4827,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "<ipython-input-68-7dd97c9a50c6>:1: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
+      "<ipython-input-73-7dd97c9a50c6>:1: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
       "  grouped['Renda', 'Anos de Estudo'].agg(ftuples)\n"
      ]
     },
@@ -4642,7 +4970,7 @@
        "          Preta     1603.861687    975.602482       8.514540      3.807608"
       ]
      },
-     "execution_count": 68,
+     "execution_count": 73,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4669,7 +4997,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 74,
    "id": "dd0c1e11",
    "metadata": {},
    "outputs": [
@@ -4861,7 +5189,7 @@
        "[2237 rows x 8 columns]"
       ]
      },
-     "execution_count": 69,
+     "execution_count": 74,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4896,7 +5224,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 75,
    "id": "22f6d3c4",
    "metadata": {},
    "outputs": [
@@ -5100,7 +5428,7 @@
        "[41544 rows x 9 columns]"
       ]
      },
-     "execution_count": 70,
+     "execution_count": 75,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/05. Matplotlib.html b/05. Matplotlib.html
index e7003c0..6158452 100644
--- a/05. Matplotlib.html	
+++ b/05. Matplotlib.html	
@@ -14408,7 +14408,7 @@ <h3 id="Introdu&#231;&#227;o-r&#225;pida-&#224;-API-da-matplotlib">Introdu&#231;
 
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>[&lt;matplotlib.lines.Line2D at 0x7f8491f048e0&gt;]</pre>
+<pre>[&lt;matplotlib.lines.Line2D at 0x7f7cf4d78580&gt;]</pre>
 </div>
 
 </div>
@@ -14480,7 +14480,7 @@ <h3 id="Introdu&#231;&#227;o-r&#225;pida-&#224;-API-da-matplotlib">Introdu&#231;
 
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>[&lt;matplotlib.lines.Line2D at 0x7f84916c2f10&gt;]</pre>
+<pre>[&lt;matplotlib.lines.Line2D at 0x7f7cf44bd670&gt;]</pre>
 </div>
 
 </div>
@@ -14774,7 +14774,7 @@ <h3 id="Formatando-o-estilo">Formatando o estilo<a class="anchor-link" href="#Fo
 
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>[&lt;matplotlib.lines.Line2D at 0x7f8491551c70&gt;]</pre>
+<pre>[&lt;matplotlib.lines.Line2D at 0x7f7cf4316a30&gt;]</pre>
 </div>
 
 </div>
@@ -14788,7 +14788,7 @@ <h3 id="Formatando-o-estilo">Formatando o estilo<a class="anchor-link" href="#Fo
 
 
 <div class="jp-RenderedImage jp-OutputArea-output ">
-<img 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
 "
 >
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@@ -14877,7 +14877,7 @@ <h3 id="Formatando-o-estilo">Formatando o estilo<a class="anchor-link" href="#Fo
 
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>[&lt;matplotlib.lines.Line2D at 0x7f84914988e0&gt;]</pre>
+<pre>[&lt;matplotlib.lines.Line2D at 0x7f7cf4440d60&gt;]</pre>
 </div>
 
 </div>
@@ -14891,7 +14891,7 @@ <h3 id="Formatando-o-estilo">Formatando o estilo<a class="anchor-link" href="#Fo
 
 
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 </div>
 
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@@ -15631,7 +15631,7 @@ <h3 id="Figuras-e-subplotagens">Figuras e subplotagens<a class="anchor-link" hre
 
 
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@@ -15706,7 +15706,7 @@ <h3 id="Figuras-e-subplotagens">Figuras e subplotagens<a class="anchor-link" hre
 
 
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-<pre>[&lt;matplotlib.lines.Line2D at 0x7f848ce6c880&gt;]</pre>
+<pre>[&lt;matplotlib.lines.Line2D at 0x7f7cefcd8a00&gt;]</pre>
 </div>
 
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@@ -15720,7 +15720,7 @@ <h3 id="Figuras-e-subplotagens">Figuras e subplotagens<a class="anchor-link" hre
 
 
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DnZlrrNzoUHm+3bw5VXZr7Pk0/aGaRTpmR8b9Mm26J/+OE/+8QffRTOn7cLSueBJvIw4UT3RU7/Cgi3ETrKRZo0sQ8fR460i1BczsKF8Pvvdv+s3HQT1K9vu1c8nvTvTZpkf3l0SXNfV65su2YmTLAJPZc0kYcJJ7ovvPkroEutLuzuuxvPYA+7++7WJK4CZ8gQm3RHjbr8fu+9B1dfDc2aXX6/J5+EbdvSD0U8examToU77oDo6PT7P/YY/PILzJuXu/jRRB42nOi+8MdfAW59YKuCWMWKdhTJhAlZV0c8fBgWLLCt6fzZrFnfqZNN+K+//ue2+fPh0CHbrXKpNm3sw9c33sj1JWgiDwE5SW5OdF/4+q8ANz+wVUGuf3+7HFxWI05mzoRz5y7frXJBZCT06gWLFsH27XbbxIlQpgw0b55x//z57f7LltmWfC5oIg9y3iS3QHdf+PqvAB1vrvwmNtZ2e7z+un1Yean33oPrr4fatXN2vF69IF8+GDfOdpssXgwPPGC3Zebhh21Cf/PNXIWviTzIuTm5+fqvAH901YhIJxH5QUQ8IhJ3yXsDRGS7iGwVkRa5PokKDv3724eZb7+dfvvWrbBmTc5a4xdcc42dPTppkk3mHo8dapiVUqXs4heTJ+d8KGQamsiDnJOTaXLapeOrvwL89MB2E9AB+DLtRhGpAdwLxAItgTdEJIvmlAoJDRvamimvvpq+oNbUqXbCT+fO3h3vySftePKXX4b4eDsb9HJ694ajR+0QRy9pIg9yTk2mcaK/2h8PbI0xm40xmc2pbgfMMMacMcbsArYD9XJ9IhUcBgywXSHTptnXHo9N5M2bQ+nS3h2rYUNbe+VCtcPsNGkCderYglpe0kQe5JyaTONEl06AH9iWAX5O83pv6rYMRKSniCSKSOLBgwf9EYsKlObNoW5d24pOSYEvv4Q9e7zrVrlAxJYBaNDAdpvkZP+1a2HoUK9Plc04GuV2F5LYwOUD2XNsD+WLlWfYrcP8/iDTqS6dLrW6eH1tIrIMKJXJWwONMXOy+lgm2zItFWqMmQBMAFv90KvglLuI2Fb53XfbqfMLF8IVV0C7drk73u2326+cKlAgV6fRRB4CcpPcLmf6xunZ/mIoX6w8yceSM3zWjfVRjDHZzODI1F6gXJrXZYHQW+xRZdShA1SpYlvGO3bYceFRUdl/zkHataLSyWnfdxjUR5kL3CsiBUXkWqAKsNbhmFQg5MsHzz0H331nhyLmplslwDSRq3Ry2vcdKvVRRKS9iOwFGgILRGQJgDHmB+BD4EdgMfC4MSbFuUhVQHXtaocQli8Pf/2r09FkS7tWVDre9H37ukvHCcaYT4BMV8E1xgwDQuZPDOWFggXttHpj7NBDl9NErtIJpr5vpfyqbl2nI8gx9/+qUQEVBn3fSoUcTeQqnVDp+1YqnIgxgR/2KiIHgYx/v1slgUMBDMcfQuEaIHivo4IxJjr73XzvMvd2sP5bekuv078yvbcdSeSXIyKJxpi47Pd0r1C4Bgid63CDcPm31Ot0hnatKKVUkNNErpRSQc6NiXyC0wH4QChcA4TOdbhBuPxb6nU6wHV95Eoppbzjxha5UkopL2giV0qpIOeaRC4iLVPXRtwuIv2djie3RGS3iGwUkQ0ikuh0PDkhIpNE5ICIbEqzrYSILBWRn1K/F3cyxmAWKvf2pcLhvhGRciLyuYhsTl3btU/qdlddpysSeepaiOOAVkAN4L7UNRODVYIxpo6bxplm413supRp9QeWG2OqAMtTXysvheC9nda7hP59cx542hhTHWgAPJ76/+eq63RFIseuhbjdGLPTGHMWmIFdM1EFgDHmS+D3Sza3A6ak/jwFuDOQMYWQkL23w+G+McbsN8asT/35D2Azdsk/V12nWxJ5jtdHDAIG+ExEkkSkp9PB5MHVxpj9YG9mIMbheIJVKN3bORGy942IVATqAmtw2XW6pYxtjtdHDAI3G2P2iUgMsFREtqS2XFR4CqV7O2yJSFFgNtDXGHNcJLP/Vue4pUUeMusjGmP2pX4/gF2woJ6zEeXabyJSGiD1+wGH4wlWIXNv51DI3TciUgCbxKcbYz5O3eyq63RLIl8HVBGRa0UkErgXu2ZiUBGRIiJyxYWfgebApst/yrXmAt1Tf+4OZLXavLq8kLi3vRBS943YpvdEYLMxZlSat1x1na6Z2SkirYH/APmASanLbAUVEbmOP5cNyw+8HwzXISIfAPHY0py/AYOBT7FrVpYH9gCdjDGXPthSORAK93ZmwuG+EZHGwCpgI+BJ3fwCtp/cNdfpmkSulFIqd9zStaKUUiqXNJErpVSQ00SulFJBzpFx5CVLljQVK1Z04tQqDCQlJR1yas1OpZzgSCKvWLEiiYlBUU9KBSERyWphb6VCknatKKVUkNNErnLs9OnTbNmyxekwlFKXyHEiz6L28D9F5JfU2tsbUic+qBC0c+dOGjRoQGxsLJs2BetkVaVCkzct8nfJWHsYYHRq7e06xpiFvglLucmSJUu48cYb2bNnD5GRkYwdO9bpkJRSaeQ4kWdRe1iFoOPHj3P//fczb948APLly0elSpVITEzkhRdeoH79+g5HqJRKyxejVp4QkW5AInYljSOZ7ZRam7snQPny5X1wWuUPZ8+epUOHDqxYsYI2bdoA0KxZM9auXUtERASDBg1yOEKl1KXy+rBzPFAJqAPsB17NakdjzARjTJwxJi46Wof4upHH4+HBBx9k+fLlTJ48mfvuu+/iexERf94qJ06cYPLkyaSkpDgRplLqEnlqkRtjfrvws4i8DczPc0TKMQMHDuT9999n+PDhdO/ePcv9Fi1axEMPPUR0dDQVKlRg1qxZxMXFcfvttwcwWqXUBXlqkV8orJ6qPcFbezvsGWPYu3cvjzzyCP37X34d2TvvvJMyZcrQqVMnrr/+epYuXUp8fHxgAlVKZZDjFnna2sMishdbezheROpgl67aDfTyfYgqEESEqVOn5mjfAgUKMHz4cN577z3at29Pp06duOKKK/wcoVIqK47UI4+LizM6Rd89UlJS2LZtG9WrV8/V548ePcrw4cNp06YNTZs29XF03hORJGNMnNNxKBUoOrNTsWjRImrUqMGKFSty9fnChQvz+uuvM2dO1qtdHT58OLfhKaWyoYlc8eabb1K6dGmaNGmSq88XLFiQ+vXrs3r16kzfnzFjBjExMXz33Xd5CVMplQVN5GEuOTmZhQsX0qNHDwoUKJDr4zRp0oT169dz4sSJdNvPnDlD//798Xg8fPzxx1l8WimVF5rIw9jJkyd5+umnERF69OiRp2M1btyYlJQU1qxZk277m2++SXJyMq1bt6ZGjRp5OodSKnOO1CNX7lCoUCFWr17NU089lefZto0aNSI6Oprffvst3XYRoUOHDsyePTtPx09r/vz51K1blzJlyvjsmEoFMx21Eoa6detGy5Yt6dy5M6dOnaJw4cI+Oa4xBhHJcvuhQ4c4cuQIVapUydN53n77bb777rssi3fpqBUVbrRFHma2bNnC1KlTqVu3LoDPkjiQLokvW7aM33//nU6dOl3c3qBBA2rUqMHcuXPzdJ5HHnkkT59XKtRoH3kI2rdvH2fPns30valTpxIREcG9997r8/MmJiZSrVo1HnroIVq0aMGQIUPSdbW0atWKZcuWcerUqVwdf+vWrUyaNElrvCh1CU3kIebw4cOUKVOGv/3tbxne83g8TJs2jdtuu43SpUtn8um8KVOmDFu3bmXy5Ml06tSJNWvWUKpUqYvvt23bllOnTvH555/n6vj9+/enb9++/P67VlNWKi1N5CHmgw8+AODaa6/N8N6qVavYs2cPXbt29cu5S5cuTb9+/RgzZgwffPABRYsWTfd+06ZNKVKkCPPne19b7auvvuLTTz+lf//+aPVMpdLTh50hJi4ujpSUFL799tsM73311VcMHz6cmTNnUqRIEQeigw4dOpCYmEhycnKmD0az0q5dO7766iuSk5OJioq67L76sFOFG33YGQIujArZtGkTSUlJjB49mh9//BERSVc/pVGjRrlqDfvSsGHDvJ54tG3bNubNm8egQYOyTeJKhSPtWglShw8f5vTp0zzwwAMMHDgQgN27d1O2bFnuu+8+mjZtyvDhwy/uv2HDBn799Venwr2oevXqVK5c2avW+JEjR6hXrx69e/f2Y2RKBS/tWglSnTt35vvvvycuLo5p06aRlJRE7dq18Xg8RERE0KVLF5YtW8b+/fsREerUqUO+fPlYv36906Eze/Zs9u7dS58+ffxyfO1aUeFGW+RBaOvWrcycOZM2bdowatQorrrqKjp27Mi5c+cuLsnWokULDhw4wIYNG1i4cCHff/89ffv2dTbwVAsWLGDIkCF4PJ5s9/3mm284evSo/4NSKohpIg9Cw4cPp2DBgjz99NOUKFGC1157jR07dhAZGcmFv7CaN28OwOLFixk2bBgVKlRItwank2655RaOHDmSbTXE06dP06FDB7p16xagyJQKTvqwM8js2LGD6dOn89RTTxETEwPAPffcw+rVq6laterFvudSpUpRp04d/v73v2OMYdy4cXmqbuhLCQkJAKxYseLiDNNLpaSk0LVrV/bv3++3LhilQoYxJuBfN954o1G5849//MNERkaaffv2Zbvvpk2bzIABA8w111xjTp48GYDocq5q1aqmdevWmb7n8XhMz549DWBGjRrl9bGBROPAfa1f+uXUlz7sDDLGGH788UdiY2Nz/JkTJ05kmJzjtN69e5OUlMQ333yTYQTLmDFjeOqppxgwYEC6kTc5pQ87VbjRRB5EjMm8umAwOn/+PPnzZ96zd+TIESZNmkS/fv1ydb2ayFW4yfHDThGZJCIHRGRTmm0lRGSpiPyU+r24f8IMbefOnWPJkiWXLQbl8XioX78+48ePD2Bk/pNZEl+yZAmnT5+mePHiFxe8UEplz5tRK+8CLS/Z1h9YboypAixPfa28sGDBAgYNGkTLli1ZtWpVlvstXryYdevWUbx46PyufPbZZylWrBi9e/fmmWeeoVWrVgwdOtTpsJQKOjketWKM+VJEKl6yuR0Qn/rzFGAl8LwvAgsHZ8+epVevXpQtW5aiRYsyffp04uPjM913zJgxlC5dmo4dOwY2SD+qW7culSpVYubMmfz+++/Ex8fzwgsvOB2WUkEnr+PIrzbG7AdI/R6T1Y4i0lNEEkUk8eDBg3k8bWiYMWMGv/zyC4MHD6Z9+/bMmjWLM2fOZNhv69atLF68mEcffdQ1Qwh9oXPnzqxfv57Dhw9z4sQJVqxYobVUlMqFgE0IMsZMMMbEGWPitAypfXD5yiuvULNmzYvLrh09epRFixZl2Pell16iUKFC9OrVy4FIA6NIkSLaJ65ULuU1kf8mIqUBUr8fyHtI4WHp0qVs3Ljx4kO9Zs2aER0dzYIFCzLs26dPH8aPH8/VV1/tQKRKKbfL68zOuUB34KXU73PyHFGY+OWXX6hWrRqdO3cG7CiOr7/+OtMFIerUqUOdOnUCHKFSKlh4M/zwA+BroKqI7BWRh7EJ/DYR+Qm4LfW1yoEHH3yQH374gcjIyIvbKlWqREREBGvXrsUYw65du+jWrRt79+51MFKllNt5M2olq4pLt/oolrCxbt064uLiLlYqTGvDhg3Ur1+fRo0aUbx4cZYtW8ZLL+nvR6VU1rT6YYD9+OOP1KtXj9dffz3T92vVqsXbb7/Nzp07WbBgAY888gjXXHNNgKNUSgUTnaIfYN27d2fWrFkkJydTsmTJLPc7ceIEs2bNokOHDlx55ZUBjDD46RR9FW60jG0AJScn8/777/P4449fNokDFC1alAceeCAwgSmlgpp2rQTQO++8g8fj4emnn3Y6FKVUCNFEHkArVqwgISGBcuXKOR2KUiqEaNdKAH3xxRdoeQKllK9pizyA8ufPT+nSpZ0OQykVYjSRB4AxhoSEBCZNmuR0KEqpEKSJPACSkpJYuXKl02EopUKUJvIAmDlzJgUKFKB9+/ZOh6KUCkGayP3MGMOHH35I8+bNQ2p1H6WUe2gi97P169ezZ88eOnXq5HQoSqkQpYnczwoWLEiPHj1ISEhwOhSlVIjSWisq5GitFRVutEXuZ4cOHcLj8TgdhlIqhGki97OGDRty//33Ox2GUiqEaSL3ozNnzrBz504qV67sdChKqRCmidyPfvrpJzweD9WrV3c6FKVUCNNE7kebN28G0ESulPIrn1Q/FJHdwB9ACnBeRwxYW7ZsQUT4y1/+4nQoSqkQ5ssytgnGmEM+PF7Qa9asGUWKFCEqKsrpUJRSIUzrkftRw4YNadiwodNhKKVCnK/6yA3wmYgkiUjPzHYQkZ4ikigiieGwuILH42H16tUcO3bM6VCUUiHOV4n8ZmPMDUAr4HER+eulOxhjJhhj4owxcdHR0T46rXvt2bOHJk2a8OGHHzodilIqxPkkkRtj9qV+PwB8AtTzxXGD2ZYtWwCoVq2aw5EopUJdnvvIRaQIEGGM+SP15+bAi3mOLBMpKSls3LiRyMhIrrzySmJiYoiMjPTHqfJMhx4qpQLFFw87rwY+EZELx3vfGLPYB8dN5/Tp03Tq1In58+df3BYbG8uGDRvIn999z2w3b95MyZIlKVmypNOhKKVCXJ4zoDFmJ1DbB7Fc1quvvsr8+fMZOnQolStXZseOHbRu3TpdEj98+DBXXXUVR48epVixYqT+cnHE5s2btVtFKRUQ7mvKZuHZZ5+lXr163HbbbRneO3LkCHv27KFx48Y8/vjjjB07ltmzZ9OiRQsHIrVGjRrFmTNnHDu/Uip8uL4e+c6dOwG47rrrMn1/8ODBvPvuuxQuXJjjx4+zbt066tevT5UqVfj88899FrMKHlqPXIUb19daefnll6lbty7nz5/P9P2WLVvy888/s23bNqZPn06ZMmXo168fK1euZM2aNQGO1lq5ciUfffQRKSkpjpxfKRVeXN8ir1y5MrGxscyZMyfLfSZOnEiBAgXo1q0bAH/88Qfly5cnISGBjz/+2Ccxe6Ndu3Z899137Nq1y9F++nClLXIVblzdIk9OTmbHjh3ccsstl93v4YcfvpjEAa644gqeeOIJ5syZw969e/0dZjqnT59m2bJltG3bVpO4UiogXJ3IV6xYAcCtt97q9Wf79OnDt99+S9myZfF4PJw7d87X4WVq5cqVnDx5krZt2wbkfEop5epEvnz5cmJiYoiNjfX6syVLluT6668HYOzYsTRq1Ijjx4/7OsQM5s+fT1RUFPHx8X4/l1JKgcsT+ahRo/jkk0/y3EURExNDYmIi77//vo8iy9oPP/xAs2bNKFSokN/PpZRSEAQPO33BGEPNmjUpUaIEq1at8vu5/ve//1G0aFG/nkdlTR92qnDj2hb5woULGT16dJbDDr0hItx///2sXr2a3bt35z24bM6lSVwpFUiuTeQTJ07ktddeI1++fD45XufOnQH82r1y5513MmTIEL8dXymlMuOqKfrGGH766SdWrlzJ8uXL6dChg8+G8FWoUIEpU6b47SHk/PnzmTNnDn/9a4ZS7Eop5Veu6iNPSkoiLs52bV5zzTV8+umn3HTTTYEOz2snT54kNjaWqKgovv32W9eW1g0X2keuwo2rWuS1a9fmrbfeIj4+nipVqvhlQs3s2bP5448/eOCBB3x2zKFDh7J7926++OILTeJKqYBzVYs8EO644w7Wrl3Lf//7XypVqpTn4x05coRy5crRsWNHpkyZ4oMIVV5pi1yFG9c+7PSXAQMGcPr0aWrXrs2ECRPI7S8yj8fDqVOnKF68OOvWrWPkyJE+jlQppXIm7BJ5w4YN2bhxIw0bNqRXr17cc889eDwer46xYcMGbrjhBgYNGgTY5dxiYmL8Ea5SSmXLVX3kgVKuXDmWLFnCyJEjKVGihFd98fv376d169aICPXqhf0a00opFwjLRA4QERHB888/f/H12bNniYyMZOPGjYwYMYIePXrQtGnTdJ85c+YMHTt25NixY3zzzTfUqlUr0GErpVQGPulaEZGWIrJVRLaLSH9fHDOQFixYQNWqVenRowd16tRh2rRpHDp0KMN+/fr14+uvv2bKlCmaxJVSrpHnFrmI5APGAbcBe4F1IjLXGPNjXo8dKJUrV+bw4cNMmTKFJ554gsGDB1OiRIkM+3Xu3JkKFSpw1113ORClUkplzhddK/WA7caYnQAiMgNoBwRNIq9atSpr1qwhMjLy4pDEM2fOMHnyZLp37865c+e48sorufnmm7n55psdjlYppdLzRddKGeDnNK/3pm5LR0R6ikiiiCQePHjQB6f1rerVq6cbV75u3Toee+wxBg8eTM2aNRk1apSD0SmlVNZ8kcgzG/KRYXC2MWaCMSbOGBMXHR3tg9P6V+PGjWnVqhUjR47k4MGDJCQkOB2SUkplyheJfC9QLs3rssA+HxzXcS+99BLR0dFMmDCBunXrOh2OUkplyhd95OuAKiJyLfALcC/Q2QfHddz111/Pr7/+SkRE2M2bUkoFkTwncmPMeRF5AlgC5AMmGWN+yHNkLqFJXCnldj6ZEGSMWQgs9MWxlFJKeUebm0opFeQcKWMrIgeB5CzeLglknFYZOkL9+sD5a6xgjHH/0CilfMSRRH45IpIYyrWkQ/36IDyuUSk30a4VpZQKcprIlVIqyLkxkU9wOgA/C/Xrg/C4RqVcw3V95Eoppbzjxha5UkopL2giV0qpIOeaRB7sqwxlRkTKicjnIrJZRH4QkT6p20uIyFIR+Sn1e3GnY80LEcknIt+KyPzU1yF1fUq5nSsSeZpVhloBNYD7RKSGs1H5xHngaWNMdaAB8HjqdfUHlhtjqgDLU18Hsz7A5jSvQ+36lHI1VyRy0qwyZIw5C1xYZSioGWP2G2PWp/78BzbZlcFe25TU3aYAdzoSoA+ISFmgDfBOms0hc31KBQO3JPIcrTIUzESkIlAXWANcbYzZDzbZAzEOhpZX/wGeAzxptoXS9Snlem5J5DlaZShYiUhRYDbQ1xhz3Ol4fEVE2gIHjDFJTseiVDjzSRlbHwjZVYZEpAA2iU83xnycuvk3ESltjNkvIqWBA85FmCc3A3eISGugEHCliEwjdK5PqaDglhb5xVWGRCQSu8rQXIdjyjMREWAisNkYk3b15rlA99SfuwNzAh2bLxhjBhhjyhpjKmL/z1YYY+4nRK5PqWDhihZ5CK8ydDPQFdgoIhtSt70AvAR8KCIPA3uATs6E5zehfn1KuYpO0VdKqSDnlq4VpZRSuaSJXCmlgpwmcqWUCnKayJVSKshpIldKqSCniVwppYKcJnKllApy/w8D8G+8s8z5zQAAAABJRU5ErkJggg==
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@@ -15945,7 +15945,7 @@ <h3 id="Ajustando-o-espa&#231;amento-em-torno-das-subplotagens">Ajustando o espa
 
 
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
 "
 >
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@@ -16014,7 +16014,7 @@ <h3 id="Definindo-o-t&#237;tulo-e-os-tiques">Definindo o t&#237;tulo e os tiques
 
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>&lt;matplotlib.legend.Legend at 0x7f848cc0fd90&gt;</pre>
+<pre>&lt;matplotlib.legend.Legend at 0x7f7cefad3490&gt;</pre>
 </div>
 
 </div>
@@ -16273,7 +16273,7 @@ <h3 id="Definindo-o-t&#237;tulo-e-os-tiques">Definindo o t&#237;tulo e os tiques
 
 
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
 "
 >
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@@ -16466,7 +16466,7 @@ <h3 id="Atividade">Atividade<a class="anchor-link" href="#Atividade">&#182;</a><
 
 
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-<pre>[&lt;matplotlib.lines.Line2D at 0x7f848cb45f40&gt;]</pre>
+<pre>[&lt;matplotlib.lines.Line2D at 0x7f7cef824070&gt;]</pre>
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@@ -16761,7 +16761,7 @@ <h3 id="Atividade">Atividade<a class="anchor-link" href="#Atividade">&#182;</a><
 
 
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-<pre>&lt;matplotlib.legend.Legend at 0x7f848a29eca0&gt;</pre>
+<pre>&lt;matplotlib.legend.Legend at 0x7f7ced141040&gt;</pre>
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@@ -17930,7 +17930,7 @@ <h3 id="Criando-Histograma">Criando Histograma<a class="anchor-link" href="#Cria
 
 
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@@ -18415,7 +18415,7 @@ <h3 id="Criando-Scatter">Criando Scatter<a class="anchor-link" href="#Criando-Sc
 
 
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
 "
 >
 </div>
@@ -18471,7 +18471,7 @@ <h3 id="Criando-Scatter">Criando Scatter<a class="anchor-link" href="#Criando-Sc
 
 
 <div class="jp-RenderedImage jp-OutputArea-output ">
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@@ -18527,7 +18527,7 @@ <h3 id="Criando-Scatter">Criando Scatter<a class="anchor-link" href="#Criando-Sc
 
 
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
 "
 >
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@@ -19335,7 +19335,7 @@ <h3 id="Visualizando-Dados-Geogr&#225;ficos">Visualizando Dados Geogr&#225;ficos
 
 
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-<pre>&lt;matplotlib.legend.Legend at 0x7f84899cdd60&gt;</pre>
+<pre>&lt;matplotlib.legend.Legend at 0x7f7ced1d1cd0&gt;</pre>
 </div>
 
 </div>
@@ -19847,7 +19847,7 @@ <h2><font color=green> Seaborn</h2>
 
 
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 >
 </div>
@@ -19926,7 +19926,7 @@ <h2><font color=green> Seaborn</h2>
 
 
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@@ -20014,7 +20014,7 @@ <h2><font color=green> Seaborn</h2>
 
 
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
 "
 >
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@@ -20073,7 +20073,7 @@ <h2><font color=green> Seaborn</h2>
 
 
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-<pre>&lt;seaborn.axisgrid.FacetGrid at 0x7f848a388ee0&gt;</pre>
+<pre>&lt;seaborn.axisgrid.FacetGrid at 0x7f7cecec61c0&gt;</pre>
 </div>
 
 </div>
@@ -20087,7 +20087,7 @@ <h2><font color=green> Seaborn</h2>
 
 
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@@ -20395,7 +20395,7 @@ <h2><font color=green> Seaborn</h2>
 
 
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
 "
 >
 </div>
@@ -20443,7 +20443,7 @@ <h2><font color=green> Seaborn</h2>
 
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>&lt;seaborn.axisgrid.PairGrid at 0x7f848a131820&gt;</pre>
+<pre>&lt;seaborn.axisgrid.PairGrid at 0x7f7ced16d850&gt;</pre>
 </div>
 
 </div>
@@ -20526,7 +20526,7 @@ <h2><font color=green> Seaborn</h2>
 
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>&lt;seaborn.axisgrid.FacetGrid at 0x7f8489d8c400&gt;</pre>
+<pre>&lt;seaborn.axisgrid.FacetGrid at 0x7f7cec74d280&gt;</pre>
 </div>
 
 </div>
@@ -20540,7 +20540,7 @@ <h2><font color=green> Seaborn</h2>
 
 
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
 "
 >
 </div>
@@ -20600,7 +20600,7 @@ <h2><font color=green> Seaborn</h2>
 
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>&lt;seaborn.axisgrid.FacetGrid at 0x7f848a0a7640&gt;</pre>
+<pre>&lt;seaborn.axisgrid.FacetGrid at 0x7f7cec8dc880&gt;</pre>
 </div>
 
 </div>
@@ -20614,7 +20614,7 @@ <h2><font color=green> Seaborn</h2>
 
 
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
 "
 >
 </div>
@@ -20675,7 +20675,7 @@ <h2><font color=green> Seaborn</h2>
 
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>&lt;seaborn.axisgrid.FacetGrid at 0x7f8482312340&gt;</pre>
+<pre>&lt;seaborn.axisgrid.FacetGrid at 0x7f7ce4f83c40&gt;</pre>
 </div>
 
 </div>
@@ -20915,7 +20915,7 @@ <h3 id="Atividade">Atividade<a class="anchor-link" href="#Atividade">&#182;</a><
 
 
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
 "
 >
 </div>
diff --git a/05. Matplotlib.ipynb b/05. Matplotlib.ipynb
index 98b23ce..8b982a3 100644
--- a/05. Matplotlib.ipynb	
+++ b/05. Matplotlib.ipynb	
@@ -97,7 +97,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f8491f048e0>]"
+       "[<matplotlib.lines.Line2D at 0x7f7cf4d78580>]"
       ]
      },
      "execution_count": 5,
@@ -146,7 +146,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f84916c2f10>]"
+       "[<matplotlib.lines.Line2D at 0x7f7cf44bd670>]"
       ]
      },
      "execution_count": 6,
@@ -346,7 +346,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f8491551c70>]"
+       "[<matplotlib.lines.Line2D at 0x7f7cf4316a30>]"
       ]
      },
      "execution_count": 12,
@@ -355,7 +355,7 @@
     },
     {
      "data": {
-      "image/png": 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bEAfcvn0bvXr1QlBQEDIzM6FSKfuPVHeP43qSnJwcREZGIjQ0FDdv3hS9fACNYRNixbJlyzBr1iynXqvRaLBw4UKUlJSgoKDA7tft2bMHBw4ccKpPKXniOK67pKWlAQAOHz7sMeUDKGE7SMoaykQYW7ZswenTp51+/fTp0/Hbb79Bq9Xa/Zp58+bhjTfecLpPqXjkOK6b7NmzBxEREejevbvUoTSghO0AqWsoE9eVl5cjMzOzxfnXtqjVavj6+qKyshKnTp2yeX5OTg6OHTsmu4eNgHAPXOWmtrYWe/fuxbhx4zxqRg8lbAdIXUOZuC4jIwM1NTUuJex606ZNw6OPPoqqqqoWz9u0aRMYY5g6darLfbqbtR1v3nzzTfTp00fq0ERVWFiIgIAAjBs3TupQGqGHjg4QcgEFkcaCBQuwaNEi3Lx50+Xaxrt378b48eOxcuVKvPrqq1bP4Zyjd+/eCA8Px969e13qzxPcvn0bkZGR0Gg0OHbsGFq3bi11SKLhnMNisdg19VMI9NBRYN48nqcUwcHBiI+PF6QQ/UMPPYTRo0dj8eLFKC8vt3rOpUuXUFRUJMvhEGs0Gg0+++wz5OTk4D/+4z+kDkdUjDG3JWu72Zr358yHUudhp6amNikCBIDPnDlT6tCIRA4cOMAB8CVLljR7TlVVFa+srHRjVOJ74403OAD+/fffSx2K4CorK/kDDzzAN27c6NZ+QcWfhJWQkIDo6Gj4+PiAMYauXbsiJiYGf//73/Hpp59KHR6xoaqqSvChq+HDh2PSpElIT09v8r36HzJfX1/4+/sL2q/UkpOT0bdvX/zLv/wLlLZhya+//opz585Jvh2YNZSwHXT16lX85S9/gcViwYULF3D48GE89dRTmDNnDlJSUqQOj7Rg5cqV6NixI0pLSwVtd9OmTfjuu++aHD906BB69uwJs9ksaH+ewM/PDwaDAbNnz0bbtm2lDkdQaWlpUKvVGD16tNShNOHIJrxer7y8HG3btsXgwYMbjvn6+uLrr7/GvHnzMGHCBAmjI7akp6cjNDQUQUHC7iNd397Vq1eh0WgaNtjdtGkTCgsLcf/99wvan6eIiopCVFQUAKCmpgY+PspIJ2lpaRg0aJDg/0+EQHfYDmjdujVOnjzZZDNOjUaD5cuXIyIiArW1tdi6davV2SREOhaLBQcOHBBkOp81JSUl6NmzJxYvXgzgTgLbvHkzHnvsMQQGBorSp6fIyMhAZGQkfvvtN6lDcdmtW7dw9OhRPPTQQ1KHYhUlbIF99dVXmDJlCh5//HFotVpaEekhzpw5gxs3boiWsENCQvD0009j9erVKCwsxN69exU1O6QlERERuHXrFhISEpps9CA3FRUVSExMxOOPPy51KNbZeirpzIdSZ4m88MIL/F//9V9bPKe2tpaPGzeuyUwSb6lw5qnWrFnDAfBz586J1sf58+e5SqXibdq04QA4Y4yvX79etP48ydatWzkAHhQU1GRTY2If0CwRYe3evbvJSsd7qVQqnD17tslxWhEprUGDBuGdd94RdTz54MGDUKlUKCsrA3DnZujVV1/1ir+uKisroVarUVpaKuuyDadPn/bsRXC2MrozH0q8w758+TIHwD/66COb5zLGmtxho+6OiyjX3fWy7/7QarVShyY6JVx7/c/4smXLJOkfdIctnMzMTABAbGyLK0cB0IpIT3P9+nUcPHgQ1dXVovbjzaVIlXDtP//8MwBgzJgx0gbSAkrYdsrMzARjDP3797d5rrdWOPNUP/74I0aMGIEzZ86I2o83/6JWwrXv2bMHoaGhiImJkTqUZlHCtpNOp8Pzzz9v1xSteyuc+fn5YdGiRZIXP/dW6enpCA4ObpgzLBZv/kVt7dr9/Pxkc+2cc6SlpSEuLs7z6ofczdaYiTMfShzDdlZBQQEHwBcvXix1KF6rV69efNKkSW7pq37vR2+cKXH3tatUKi6nPHD27FkOgK9evVqyGEB7OgqjqqoKtbW1Te4g7DV8+HCUl5fDZDIJGxix6dq1a+jYsSPef/99vPnmm1KH4zX+8z//E//1X/+FnJwcPPDAA1KHY1NlZSX279+Pfv36ITw8XJIYqLyqQNLS0hAUFISjR4869fpnnnkGZrMZOTk5AkdGbKnfR1GsBTPEutmzZ0Oj0eCTTz6ROhS7tGrVChMmTJAsWduLErYdjEYjLBYLevXq5dTrp0yZAgDYvHmzkGERO0ycOBG//PKLXbN7iHDCw8Px7LPP4ssvv2y2VrinsFgsWLx4segPpYVACdsOmZmZ6Nmzp9M1Ibp06YKXX34Z3bp1EzgyYou/vz9GjhwJPz8/qUPxOu+++64sdqUxm82YP39+w9RdT6aM8loiy8zMdLnU4tq1awWKhtirrKwM7733HmbOnOn0X0fEeTqdTuoQ7LJnzx4AwNixYyWOxDa6w7bhypUruHjxoiB/Ut+6dQunT58WICpij19//RVLly6V1eINpSkpKcGTTz7p0UvU09LS0Lt3b9x3331Sh2ITJWwbfH19sWLFCjzyyCMut/X4449jxowZAkRF7JGeng6VSoWhQ4dKHYrXCg4Oxrlz57Bs2TKnSg4bDAbodDrRql5WVVXhl19+8dhyqveihG1DaGgo5s6diz59+rjcVnx8PEwmk9XiUER46enp6N+/v+LrUXsyxhhef/11mEwm7Nu3z6HXGgwGJCYmIj8/X7SCUjk5OWCMYdy4cYK1KSZK2DZkZGTg4sWLgrRFs0Xcp6qqChkZGTSdzwMkJCSgQ4cO+Oijjxx6XVJSUpPqmEJXvYyOjsbNmzcxceJEwdoUEyVsG6ZMmYJ58+YJ0lbXrl0xZMgQSthucP78+YYZIkRa/v7+mD17Nn744QdkZ2fb/Tp3FZTy9fWFr6+voG2KxWbCZoz5M8aOMMbMjLHTjLGF7gjME1y9ehUXL17EwIEDBWtz6tSpMJlMyMvLE6xN0pjBYMCECRNw69YtvPbaax79wMtbvPLKK1iwYAE6dOhg1/nV1dXN7jQv1Ka/paWliI2Nxc6dOwVpzy1srV0HwAC0qftcA+AwgCEtvUZONQRa8sMPP3AAfP/+/YK1ee3aNZ6VlSVYe6Sx1NRUHhAQQLv9yFhVVRV/8sknOQDu6+vb6L1Uq9UcAH/rrbe4xWJxqZ/vvvuOA+BpaWkCRe4aCFEPu66tsrovNXUfXrHDrNFotLukqr3at2+P3r17C9Yeacwd457Eedu3b8fGjRtbPGf+/Pn49ttvsWrVKqxfv76h6qVWq8Xf//53vPzyy3j//ffx3HPPubQ7zJ49e+Dv749hw4Y53Ybb2crodxI/1ABMAMoAfNDMOYkAjACMERERbvqdJK4nnniCR0ZGCt5uTk4Onz59uqj7C3or2u3Hs02aNIl37NiRV1ZWNntOcXExNxgMzX7fYrHwxYsX83feecelWKKiovi4ceNcakNIsOMO26GyqQBCAOwFENXSeUoZEsnNzeWHDh0SvN38/HwOgL///vuCt+3tlLBVlZLt2bOHA+Cff/55o+PV1dX8ww8/5H/++afDbRqNRl5YWGj3+ampqbxLly4cAA8JCfGY4TLBE/adNvEugL+2dI5SEraYHnzwQT5gwACHXuPNtZbtlZqa2uQum8awPYfFYuF9+/bler2+YQz69u3bfOrUqRwA37p1q0PtVVdX827duvGuXbvyJUuW2Pz58ORnHIIkbAAdAITUfd4KQDqAx1p6jRISttls5mvWrOGlpaWitL9s2TIOwO5hEU/+j+ZJjh8/zgHw0NBQ+sXmob744gsOgHfs2JEzxhr+X3/44YdOtXf8+HEeFBTU5K+qgIAAPnfuXL548WI+c+ZMPmrUqIaHlp74F5hQCbsvgOMATgA4BeAdW69RQsJetGgRZ4yJlrDz8vIcGhahP/Xtc+rUKT5jxgxeVFQkdSikGV988QVXqVSN/h9rNBqXfrF27tzZ6s+HRqPhAHh4eDgfMWKE1XM85RmHPQmbdpxpxuTJk/Hbb7+JWiN36tSpGD16NGbPnm3zXJVKBWvvFWPMpSflhLibTqdDfn5+k+Nardbp9Qkt/XyUlZU17BYlRt9CoR1nXGA0GgVdMGPNN998Y1eyvnbtGnx8rFfC7dq1q9BhyVZRURGysrKs/uASzyHGCsaWdm2/e2s/uW+UTAnbCjFWODanpqbG5n/U4OBg9O3bt0kR/latWqG2ttbhojpKtWHDBuj1ehQUFEgdCmlBS8nVWfYm4oSEBKSkpDSa252SkoKEhASn+3YrW2MmznzIfQw7LS1N8BWOzXnkkUea3V36p59+ajQWe+8skVWrVvE+ffpwf39/vnPnTtFj9XTDhg3jMTExUodBbBDrAbrcZ1FBjGl99nzIPWFzzvnNmzd5VVWV6P18+OGHHADPzc1tdHzlypVcpVLxl19+ucXXFxUV8ZiYGK7RaPj27dtFjNSzXb58mTPG+MKFC6UOhdhB7slVDJSwZeD8+fMcAF+yZAnnnPOamho+Z84cDoA/8cQTvKyszGYbN27c4A8++CBXq9X8xx9/FDtkj7R27VoOgJ88eVLqUAhxij0Jm8awrXjuueewbds2t/Sl0+nQrVs3vPPOO1CpVAgMDMQnn3yCuXPnYtu2bXZtYNq2bVvs3r0bs2bN8trdVXbs2IEHHngAer1e6lAIEQ0l7HtcuXIFGzdutDr1RwwGgwGFhYWorq4G5xyVlZXQaDSIjY2FWq22u53AwECsWrUKISEhqKysxNy5c0XdWsnTbNq0CVu2bAFjTOpQCBENJex71G91744ZIsCd6nK3b99udOz27dsuVZd7/vnn8cknn4i6tZKnCQoKQr9+/aQOgxBRUcK+R2ZmpuAlVVsixpzUw4cPNzmm5BKj77zzDv72t79JHQYhoqOEfY/MzExERka6beNWMeakNjcPWeitlTxBZWUlli9f3vCXESFKRgn7Hn5+fhg1apTb+hNj5ZUYvwQ81Z49e1BeXo74+HipQyFEdJSw7/HNN99g3bp1butPjJVXcl9+64jt27cjODgYcXFxUodCiOio+JNCGQwGJCUl4cKFC4iIiEBycrJ8lt/aqaamBmFhYZgwYQJSU1OlDocQl1DxJwd98MEHePDBB1FTUyN1KC5LSEhAXl4eqqqqcPr0acUlawAoLi5G//79MWXKFKlDIcQtKGHf5dChQ7h161azlfHkpqKiAm3atMEnn3widSiiCAsLw+7duzF58mSpQyHELShh487wgU6nw44dO1BQUKCY+coBAQEIDw/HqVOnpA5FcJxzXLt2TeowCHErr0/YBoMBiYmJDSsbKyoqFLXIRK/X4/Tp01KHIbhjx44hLCwMP/zwg9ShEOI2HpOw6+9y3b2UOikpCRUVFY2OKWmRSVRUFLKzsxUxLn+37du3gzGGIUOGSB0KIW7jEQn77rtcdy+lFmOloSfR6/Worq7GuXPnpA5FUNu3b8eoUaPQrl07qUMhxG08ImFLeZer9EUmI0aMwPvvv4/g4GCpQxFMTk4OsrKyaLEM8ToekbClvMtNTk5Gq1atGh1T0iKT+++/H2+++SbCw8OlDkUw27dvBwCaHUK8jkckbCnvchMSEvDII48AgDz3eLPD1atXcfLkSanDEMyzzz6LjRs30gbExOt4RMKWcik15xzZ2dmIi4uDxWJBXl6eopI1ALz88suYNm2a1GEIpmvXrpgxY4bUYRDidh6RsO+up1Fv/vz5bkmcWVlZyM7OxjPPPCN6X1LR6/XIyclBdXW11KG4bNeuXdiwYQMsFovUoRDidh6RsIH/W0p9/fp1BAQEoLi42C39bt68GYwxRT/A0uv1qKmpQU5OjtShOK1+2ufEiRPx4osvYtOmTVKHRIjbedwa7NDQUBw8eBDR0dFu6W/btm0YOXIkwsLC3NKfFKKiogAAp06davhcTuqnfdbPJKqpqUFiYiIAKG74ipCWeMwd9t1iYmKgVqshRiXBe/3zn//EqlWrRO9HSpGRkVCr1bJdoq70xU2E2MsjEzZwpy51VFQUKisrRe0nLCzMbXfzUvHz88PmzZvxwgsvSB2KU5S+uIkQe3lswu7UqROysrKwceNG0fqYNWuW19SiiI+PxwMPPCB1GE5R+uImQuzlsQl71KhRGDBgAFasWCHKjIDs7GysW7cOubm5grftiQoLC/HFF1/gzz//lDoUh3nTDjqEtMRjEzZjDG+88Qays7Oxc+dOwdvfsmULAOCpp54SvG1P9Ouvv2LmzJk4c+aM1KE4TIxt1AiRI49N2ADwzDPPoHPnzli+fLngbW/evBnDhg1Dly5dBG/bE+n1egCQbanVkJAQREdH48qVK4pc3ESIPTxuWt/dNBoNVq1ahdDQUEHbzcnJwYkTJ7BixQpB2/VkPXr0gEajke1MkQMHDuCnn35CSEiI1KEQIhmbCZsx1hXABgBhACwAUjjnbttzSowCP9evX0dsbCyefvppwdv2VBqNBpGRkbK9wzaZTOjTpw98fX2lDoUQydgzJFID4A3OeW8AQwDMZoz1ETesxi5evIh/+7d/w6VLlwRpb+jQoTh69KjXFQ/S6/WyvcM2m83o16+f1GEQIimbd9ic88sALtd9/gdj7AyAzgCyRI6twZ9//on//u//RlBQkMszA0pLS6FSqdCmTRuBopOPDz74AP7+/lKH4bCioiJcvnyZEjbxeg49dGSM6QD0B3DYyvcSGWNGxphR6M1Ru3fvjvj4eKxduxbl5eUutbVmzRp07NgR169fFyg6+dBqtejUqZPUYTjs5s2bGDFiBAYNGiR1KIRIyu6EzRhrA2ArgLmc89J7v885T+Gcx3LOYzt06CBkjACA119/HTdu3MCGDRtcamfLli2Ijo72yq2lKisrkZycjP3790sdikMiIyORnp6OkSNHSh0KIZKyK2EzxjS4k6wNnPNt4oZk3bBhwzB48GCXFtKcP38eRqMRU6ZMETg6efD19cXixYvx3XffSR2KQ9xRU4YQObCZsBljDMDnAM5wzoWfEG0nxhjmzZuHUaNGoayszKk26hfLeGvCVqvV6NWrl+wePA4ePBhz586VOgxCJGfPHfZwAP8PwFjGmKnuY5LIcVn11FNP4bPPPkNQUJBTr9+yZQsGDhyIbt26CRyZfOj1etGn9tXXrlapVNDpdDAYDE63VVVVBZPJhNatWwsYISHyZDNhc84PcM4Z57wv5zym7uNHdwRnjcFgQHh4uFPJ4LPPPvOqxTLWREVFobCwELdu3RKl/fra1fn5+eCcIz8/H4mJiU4n7aysLNTU1CAmJkbYQAmRIY9emn4vg8GAl156CVeuXHEqGURHR3v9gyu9Xg9fX1/8/vvvorQvdO1qs9kMADSljxDILGEnJSU1qY9tbzJYtGgR0tPTxQpNNiZMmIDy8nL0799flPaFrl1tMpkQEBCA7t27uxIWIYrg0bVE7uVsMigoKMC7774LHx8fr7/D1mg0orYfERGB/Px8q8edMXjwYLRu3RpqtdrV0AiRPVndYTf3Q29rTnX97BAl74zuiGXLluH1118Xpe0ZM2Y0OeZK7epnn32W6l4TUkdWCbu5QvYff/wxAGDt2rX44osvmszb3bJlC/r164cePXq4K1SPdvr0aXz11VeCt1tbW4utW7eiffv2DXVaVCoV1q1b51Q51IqKChQVFQkdJiGyJauE3VIhe845tm/fjpkzZ+Lhhx9Gbm4uDAYDunTpgkOHDiEvL8+l6WVKEhUVhatXrwq+PF+tVmP16tXYsmULLly4gA0bNsBisTi9U3taWho6deqEjIwMQeMkRLY454J/DBw4kEuhtraWr1mzhgcGBnKNRsM1Gg0H0PAREBDAU1NTJYnNk+zcuZMD4Pv37xeszZqamibHCgoKOAC+fPlyp9p87733OABeWlrqaniEeDwARm4jt8rqDtsWlUqFWbNm4cyZM/Dx8cHt27cbfd+V6WVKUn/HK9QCGs45HnvsMSxYsKDR8S5duqBHjx74+eefnWrXZDKhe/fuCAwMFCBKQuRPUQm7XufOnZvdbNbZ6WVK0rlzZ0RHRwtWo2PTpk3YtWsXrBX9Gjt2LI4ePepU/ReqgU1IY0yoH9q7xcbGcqPRKHi7jtDpdFanl2m1WuTl5bk/IIW6efMmevXqBa1Wi19//bXJ9Lvi4mIEBgbCz8/PoXbLysoQFBSEhQsXYv78+UKGTIhHYoxlcs5jWzpHkXfYQPMzSmiKmLDeeustFBcXY926dVbnSrdv397hZA3cKfa1fv16UbaII0SuFJuwW5pRQoAdO3age/fuuHLlitNtXL58GV9++SXmzJnT4srJlStXOlxtr3Xr1njhhRcQHR3tdHyEKI2sVjo6KiEhgRJ0MwICAvD777/j9OnTCAsLc6qN8PBwmEwm3HfffS2ed/bsWXz++edYunSp3ZvoZmRkIDAwEHq93qnYCFEixd5hk5a5OlOk/jlAZGSkzVkccXFxqKiowJEjR+xuf+7cuZg9e7ZTsRGiVJSwvVSnTp0QGhrq1GYG+fn50Ov1WLp0qV3njx49Gowxu6f31dbW4uTJkzRDhJB7UML2UowxREVFOXSHbTAYoNVqodPpUFlZaffDxNDQUPTv3x979+616/zc3FxUVFRQDWxC7qHoMWzSsieffBIXL16069z6jQnqa11zzvH222+jffv2dj0nmDx5Mk6fPg3OOe7sOtc8k8kEgGpgE3Ivxc7DJsJy57z2pKQkfPDBBygrK4O/v7+gbRPiqbx6Hjaxj8ViaXZV6N2E2pjAnr7mzp2LvXv3UrIm5B6UsL1YaWkpAgMDsXr16hbPq6qqarYWuSMbE0yfPh3jxo2zeV6HDh28fqMJQqyhhO3FgoKCEBgY2OJMkZs3b2LIkCEYOXKkyytHu3XrhiNHjqCsrKzZc0pKSrBkyRLR9pwkRM4oYXs5vV7f7EyR0tJSTJgwAVlZWZgxY4bLK0fj4uJQU1ODAwcONHvOsWPH8NZbbyE3N9fhayFE6WiWiJeLiorC559/DovFApXq/35/l5eX49FHH8WxY8ewdetWPPLIIwDg0srR4cOHQ6PR4Oeff8aECROsnkO7pBPSPLrD9nJ6vR7l5eWNHh7W1tZi8uTJOHToEL766is88cQTgvQVEBCAIUOGtDgf22w2IywsDB07dhSkT0KUhO6wvdyoUaOwcOHCRotg1Go14uPj8dxzzwm+cfFrr72G0tLSZr9vMplowQwhzaB52KRBTU0NsrOznd6DUYj+27Zti9mzZ2PJkiWSxECIVGgeNrHJYDCga9euUKlUCA4OxoABA1BYWChqn+fOncOhQ4eaHPfx8cGNGzfw9ttvi9o/IXJFCduL1S83LywsBOe8Ydn5/v37Re33lVdewaxZs6x+T6PRICgoSNT+CZErStheLCkpqSFJ17t9+7boGxWPHTsWJ0+exLVr1xodX7NmDebNmydq34TIGSVsLybUcnNHxcXFAQD27dvX6PjWrVud3mGdEG9ACduLCbHc3BmxsbEIDAxsNL2Pcw6z2UwzRAhpASVsLybVRsU+Pj4YOXJko4R96dIlFBcX04IZQlpA87C9WP2qxaSkJFy4cAERERFITk52yz6YH3/8MUJCQhq+phWOhNhGCdvLSbVRcY8ePRp9/ccff6BLly7o27ev22MhRC5sDokwxtYzxooYY45v/kdIC9atW4eVK1cCAP7yl7+goKAAwcHBEkdFiOeyZwz7CwDWK/UQ4oJdu3ZhxYoVUodBiGzYTNic818A3HBDLMTLjB07FufPn0dWVhYiIyPxP//zP1KHRIhHE2yWCGMskTFmZIwZ710QQYg19fOxP/30U+Tk5MDX11fiiAjxbIIlbM55Cuc8lnMe26FDB6GaJQqm1+vRoUMHrFu3DgDNECHEFpqHTSTDGGs0WyQuLg4Gg0HCiAjxbJSwiWQMBgNMJlPD1xcuXEBiYiIlbUKaYc+0vk0AfgUQyRgrZIy9KH5YxBtYKz5VUVEhevEpQuTK5sIZzvl0dwRCvI9UxacIkSsaEiGSkar4FCFyRQmbSEaq4lOEyBUlbCKZhIQEpKSkQKvVgjEGrVaLlJQUSWqbECIHtAkvIYR4ANqElxBCFIQSNiGEyAQlbEIIkQlK2IQQIhOUsAkhRCZEmSXCGLsGIN/Jl7cHUCxgOFJT2vUAyrsmpV0PoLxrUtr1AE2vScs5b7HUqSgJ2xWMMaOtqS1yorTrAZR3TUq7HkB516S06wGcuyYaEiGEEJmghE0IITLhiQk7ReoABKa06wGUd01Kux5AedektOsBnLgmjxvDJoQQYp0n3mETQgixghI2IYTIhMckbMbYBMbYb4yxc4yxN6WORwiMsTzG2EnGmIkxJrvyhYyx9YyxIsbYqbuOhTLGdjPGztb921bKGB3VzDUtYIxdrHufTIyxSVLG6AjGWFfG2F7G2BnG2GnG2Jy647J9n1q4Jlm+T4wxf8bYEcaYue56FtYdd/g98ogxbMaYGkAOgIcBFAI4CmA65zxL0sBcxBjLAxDLOZflhH/G2CgAZQA2cM6j6o4tBXCDc76k7hdrW875PCnjdEQz17QAQBnnfJmUsTmDMRYOIJxzfowxFgggE8BkAC9Apu9TC9c0FTJ8nxhjDEBrznkZY0wD4ACAOQCegoPvkafcYQ8GcI5z/jvnvBrA1wCelDgmr8c5/wXAjXsOPwngy7rPv8SdHyTZaOaaZItzfplzfqzu8z8AnAHQGTJ+n1q4Jlnid5TVfamp++Bw4j3ylITdGUDBXV8XQsZv0F04gH8yxjIZY4lSByOQTpzzy8CdHywAHSWORyivMsZO1A2ZyGb44G6MMR2A/gAOQyHv0z3XBMj0fWKMqRljJgBFAHZzzp16jzwlYTMrx6Qfq3HdcM75AAATAcyu+3OceJ41ALoDiAFwGcBHkkbjBMZYGwBbAczlnJdKHY8QrFyTbN8nznkt5zwGQBcAgxljUc604ykJuxBA17u+7gLgkkSxCIZzfqnu3yIA23Fn6EfurtaNMdaPNRZJHI/LOOdX636gLAD+Bpm9T3XjolsBGDjn2+oOy/p9snZNcn+fAIBzXgJgH4AJcOI98pSEfRRAD8ZYN8aYL4BpAHZIHJNLGGOt6x6YgDHWGsB4AKdafpUs7ADwfN3nzwP4VsJYBFH/Q1MnHjJ6n+oeaH0O4AznfPld35Lt+9TcNcn1fWKMdWCMhdR93grAQwCy4cR75BGzRACgborOxwDUANZzzpOljcg1jLH7ceeuGgB8AHwlt2tijG0CMAZ3ykBeBfAugH8A+AZABIALAJ7hnMvmIV4z1zQGd/7M5gDyALxcP7bo6RhjIwCkAzgJwFJ3+G3cGfOV5fvUwjVNhwzfJ8ZYX9x5qKjGnZvkbzjnixhj7eDge+QxCZsQQkjLPGVIhBBCiA2UsAkhRCYoYRNCiExQwiaEEJmghE0IITJBCZsQQmSCEjYhhMjE/wJWtCUNf4qE+QAAAABJRU5ErkJggg==\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -413,7 +413,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f84914988e0>]"
+       "[<matplotlib.lines.Line2D at 0x7f7cf4440d60>]"
       ]
      },
      "execution_count": 14,
@@ -422,7 +422,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -695,7 +695,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f848d229520>]"
+       "[<matplotlib.lines.Line2D at 0x7f7cf015edc0>]"
       ]
      },
      "execution_count": 20,
@@ -729,7 +729,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f84913c2eb0>]"
+       "[<matplotlib.lines.Line2D at 0x7f7ceff8d880>]"
       ]
      },
      "execution_count": 21,
@@ -771,7 +771,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f849143cc70>]"
+       "[<matplotlib.lines.Line2D at 0x7f7cf43f1850>]"
       ]
      },
      "execution_count": 22,
@@ -815,7 +815,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f849146d490>]"
+       "[<matplotlib.lines.Line2D at 0x7f7cf434c4f0>]"
       ]
      },
      "execution_count": 23,
@@ -964,7 +964,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f848cf09eb0>]"
+       "[<matplotlib.lines.Line2D at 0x7f7cefd822e0>]"
       ]
      },
      "execution_count": 27,
@@ -973,7 +973,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 3 Axes>"
       ]
@@ -1017,7 +1017,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f848ce6c880>]"
+       "[<matplotlib.lines.Line2D at 0x7f7cefcd8a00>]"
       ]
      },
      "execution_count": 28,
@@ -1026,7 +1026,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 3 Axes>"
       ]
@@ -1188,7 +1188,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 4 Axes>"
       ]
@@ -1240,7 +1240,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f848cc0fd90>"
+       "<matplotlib.legend.Legend at 0x7f7cefad3490>"
       ]
      },
      "execution_count": 33,
@@ -1428,7 +1428,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1592,7 +1592,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f848cb45f40>]"
+       "[<matplotlib.lines.Line2D at 0x7f7cef824070>]"
       ]
      },
      "execution_count": 40,
@@ -1834,7 +1834,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f848a29eca0>"
+       "<matplotlib.legend.Legend at 0x7f7ced141040>"
       ]
      },
      "execution_count": 45,
@@ -2743,7 +2743,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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Mob5p2fD9J9kN/Cnw9qr66ZJVk+u9qvyM8QN8EHiU/jnhTwIvAl5B/4qE4930gmnXOaHe/xH4F/qnT67sxjZs7/T/gloAfkb/KOumF+oXeD/wb8BjwFunXf+E+r+um38GOAl8eSP2v0Lvj9M/1324+/z1pHv3VnpJapSnUCSpUQa4JDXKAJekRhngktQoA1ySGmWAS1KjDHBJatT/APKjiPe74ecVAAAAAElFTkSuQmCC\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -3172,7 +3172,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -3207,7 +3207,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -3247,7 +3247,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -3833,7 +3833,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f84899cdd60>"
+       "<matplotlib.legend.Legend at 0x7f7ced1d1cd0>"
       ]
      },
      "execution_count": 87,
@@ -4279,7 +4279,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -4338,7 +4338,7 @@
     },
     {
      "data": {
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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -4400,7 +4400,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZAAAAEMCAYAAADqG+D0AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAdw0lEQVR4nO3deXBUdbrG8Sd7DEQQQQhLFJSETSEBBRWU1QhCoiEgXsAK4HBVKJBiUGeo0sLRUVRkgAEFBC1FVBgDYVMYVMSRKtSQGkBBFkWyQBjZTaDT6fzuHwx9CYHQnHTndHe+nyqq+vRZ+n052g9n+3WIMcYIAICrFGp3AQCAwESAAAAsIUAAAJYQIAAASwgQAIAl4XYXUFPKy8tVXFysiIgIhYSE2F0OAAQEY4ycTqfq1Kmj0NCKxxy1JkCKi4u1Z88eu8sAgICUkJCg2NjYCu/VmgCJiIiQdO4vITIy0uZqvGPnzp3q0KGD3WV4TTD1E0y9SPTj73zZT2lpqfbs2eP+Dr1QrQmQ86etIiMjFRUVZXM13hNMvUjB1U8w9SLRj7/zdT+XOvXPRXQAgCUECADAEgIkgHXu3NnuErwqmPoJpl6kmu2n1Omqsc9C9dSaayDnTXw5W6dKnHaXAeAylr463O4S4CGOQAAAlhAgAABLCBAAgCUECADAEgIEAGAJAQIAsIQAAQBYQoAAACypdQ8SAsHOcTJPvxduk3EF5gOzjz663uef4XA4gmowxSv1ExMTo8zMTHXr1s2rn0uAAEGm+PAOlZUctbsMywoKTtldQlBatmwZAQKganWa3KrfC50BewTSpGHslReqptp4BDJ06FCvfy4BAgSZqHotFFWvhd1lWPZeDYyFlZOTE1QDXtrVDxfRAQCWECAAAEsIEACAJQQIAMAS2y6if/rpp5o/f76MMXI4HGrfvr1mzJhhVzkAgKtkS4AcOXJE06ZN04oVKxQXFydjjHbv3m1HKQAAi2w5hfXbb78pPDxc9evXlySFhISobdu2ys/PV9euXd3LXTh9/vXMmTP14IMPKiUlRd9//70d5QMAZFOAtGnTRrfddpt69uypCRMm6N1339Xx48evuN6JEyfUqVMnrVy5UuPGjdPrr79eA9UCAC7FllNYoaGhmjdvnvbs2aPvvvtOGzdu1KJFi/TWW29VuV5MTIx69eolSerUqZOmT59+1Z89609pQfUEKhBsSp0uRUaE2V0GPGDrXVgJCQkaPny43nnnHcXGxmrv3r0yxrjnOxyOCstHRka6X4eGhqqsrKzGavVHOTk5dpfgVcHUTzD1ItVsP4RH4LAlQIqKipSbm+uePnz4sI4dO6ZWrVrJ6XTq119/lSStWbPGjvIAAB6w5RRWWVmZ5syZo4KCAkVHR6u8vFxPPfWUbrvtNk2dOlWjRo1Ss2bNKlxQBwD4F1sCpFmzZlq8ePEl52VkZCgjI8M9PX78eElS8+bNtXXrVvf7F08DAGoWT6IDACwhQAAAlhAgAABLCBAAgCUECADAEgIEAGAJAQIAsIQAAQBYQoAAACwhQAAAlhAgAABLCBAAgCUECADAEgIEAGAJAQIAsIQAAQBYQoAAACwhQAAAlhAgAABLCBAAgCUECADAEgIEAGAJAQIAsIQAAQBYQoAAACwhQAAAlhAgAABLCBAAgCUESADr3Lmz3SV4VTD144+9lDpddpeAIBNudwE1beLL2TpV4rS7DKDGLX11uN0lIMhwBAIAsIQAAQBYQoAAACwhQAAAlhAgAABLCBAAgCUECADAEgIEAGBJrXuQEAg0jpN5+r1wm4yreg/APvroeus1OByKioqSJMXExCgzM1PdunWrVj0IfAQI4OeKD+9QWcnRam+noOCUF6o5Z9myZQQICBDA39Vpcqt+L3RW+wikScNYy+tefAQydOjQatWC4ECAAH4uql4LRdVrUe3tvFeNsbBycnL8coBI2IuL6AAASwgQAIAlBAgAwBICBABgiV9cRP/00081f/58GWPkcDjUvn17zZgx47LL5+fn65tvvtHDDz9cg1UCAC5ke4AcOXJE06ZN04oVKxQXFydjjHbv3l3lOgUFBfr4448JEACwke0B8ttvvyk8PFz169eXJIWEhKht27aSpMmTJ+uXX36R0+lUfHy8/vrXv6pevXp64YUXlJ+fr7S0NN14442aPXu2jR0AQO1ke4C0adNGt912m3r27KmuXbsqOTlZaWlpuu666zR16lQ1aNBAkjRz5kwtXLhQf/zjH/Xcc89p+vTpysrKuurPm/WnNPcDUUBtUup0KTIizO4yEERsD5DQ0FDNmzdPe/bs0XfffaeNGzdq0aJFWr16tbKzs7V69Wo5nU6VlJTopptusrtcvxJsD3cFUz/+2EttDA+n06n8/HydPXu2wvvh4eHatWuXTVV5nzf6iY6OVvPmzRUREeH551brE70oISFBCQkJGj58uAYMGKAlS5Zo1apV+uijj9SgQQOtXr1ay5Yts7tMAAEkPz9fsbGxuummmxQSEuJ+v7i4WHXq1LGxMu+qbj/GGB09elT5+flq2bKlx+vZfhtvUVGRcnNz3dOHDx/WsWPHFBISorp166p+/foqLS3VJ5984l6mbt26+v333+0oF0AAOXv2rK6//voK4YHKQkJCdP3111c6UrsS249AysrKNGfOHBUUFCg6Olrl5eV66qmnlJGRob1796p///5q3LixOnTooB07dkiSEhMT1bJlSw0cOFCtWrXiIjqAyyI8PGPl78n2AGnWrJkWL158yXl/+9vfLvl+eHi45s+f78OqAABXYvspLAAIJoWFhUpKSpLL5bK7FJ8jQACgmnr37q0tW7ZIkpo2barc3FyFhQX/XW8ECADAEgIEAKphypQpKiws1OOPP66kpCQtXLhQiYmJKisrkySNHDlSM2fO1LBhw5SUlKTHH39cx48f1+TJk5WcnKzBgwcrPz/fvb39+/dr1KhRuuOOO5SSkqJ169bZ1doVESAAUA2vvfaamjZtqrfeeku5ubnq379/pWXWrVunV199VZs3b9bBgwc1bNgwDR48WN9++61uvvlmzZ07V5JUUlKi0aNHa+DAgdqyZYveeOMNTZs2TXv37q3ptjxCgACAj6Wnpys+Pl6xsbG655571KJFC911110KDw/X/fffrx9//FGStGnTJjVr1kyDBw9WeHi42rdvr5SUFK1fv97mDi7N9tt4ASDYNWzY0P06KiqqwnR0dLRKSkoknRtpfPv27erSpYt7vsvlUmpqas0VexUIEADwE3Fxcbr99tv1zjvv2F2KRziFBQDV1LBhQ+Xl5VV7Oz179tSBAwe0cuVKOZ1OOZ1Obd++Xfv37/dCld5HgABANY0dO1ZvvvmmunTpUq3rFXXr1tWiRYu0bt069ejRQ927d9frr7+u0tJSL1brPZzCAoBq6tu3r/r27eueHjNmjPv1+++/X2HZSZMmVZi+66679M9//tM93apVKy1YsMBHlXoXRyAAAEsIEACAJR4HyPjx47Vx40Y5nU5f1gMACBAeB0hycrLmzp2r7t276/nnn9e2bdt8WRcAwM95HCCjR4/WihUrtGTJEl177bWaPHmy+vXrp7///e86ePCgL2sEAPihq74G0rp1a02ePFmvvfaarrnmGs2dO1cPPfSQMjMztXv3bl/UCADwQ1d1G+/PP/+sVatWac2aNYqIiFBaWprS0tLUoEEDLV26VE8++aS++OILX9UKAPAjHgdIenq6CgoKNGDAAM2YMUMdO3asMH/UqFGV7ncGAH9S6nQpMiJMderU8cl2r6R3796KjIxUZGSkzpw5o1tuuUV/+MMflJycrA8//FAOh0OZmZlerc2XPA6QsWPHupu/HI4+APizyIgw/c/TH3h9u0tfHe7xsrNnz1ZCQoIkacOGDRo7dqwWLVqkRx55xOt1XU55eblCQkIUEhJSre14HCD333+/+7UxRsYY93RoKI+TAMDVuu+++7R9+3YtWrRIrVu3VklJiZ555hllZWVpzZo1uvbaa7V3717FxsZqzpw5atSo0SXnTZ8+3X1UtXDhQq1fv14ul0uNGzfWX/7yFzVq1Ehz5szRr7/+qpKSEuXl5WnJkiWqV69eter3+Ju/qKhI48aNU9euXdWuXTu1b9/e/QcAYE3Hjh21b9++Su/v2LFDzzzzjNauXatbbrlFS5Ysuey8jz76SJKUnZ2tgwcPatmyZVqxYoXuuecevfLKK+71vv/+e7344otavXp1tcNDuoojkOeff17R0dF69913NWLECH3wwQeaM2eO7r333moXAQC11YVncy6UnJysuLg4SedCZsuWLZedt3nzZknnLiPs3LlTDz30kKRzvyVSt25d93r33HOPGjRo4LXaPQ6Q3Nxcffnll4qJiVFISIjatGmjl156ScOGDdPQoUO9VhAA1CY7duxQ69atK70fFRXlfh0WFiaXy3XFecYYPfHEE8rIyLjkZ3n75gGPT2GFhoYqPPxc3lx77bU6duyYYmJiVFRU5NWCAKC22Lhxoz788EONGjXKK9vr3bu3li5dqpMnT0qSSktLffp8nsdHIB07dtRXX32lfv36qXv37nrqqacUHR2tDh06+Kw4AAg2EyZMcN/Ge/PNN2vBggXq1KmTvv7662pv+8EHH9SJEyc0YsQISeeOSB555BG1adOm2tu+lBBzuRNwFzl16pSMMapXr57Onj2rxYsXq7i4WJmZmWrUqJFPivMmh8OhnTt3qkOHDhUO/wJZTk6OOnfubHcZXhNM/QRTL1Lg9rNr1y61bdvWPe3p8xpXy1fb9VRxcbFXTk9d/PclVf3dWeURyKxZs6r8sMjISC1dulQTJ060WC6qIxD/h65KMPUTKL3Y/cVX08736q0v3Iu3W9tUGSCHDx92v3Y4HNqwYYM6dOigZs2aqbCwUDt27NB9993n8yK9aeLL2TpVwpD0gHR1D8ABF6syQF5++WX360mTJmnGjBlKSUlxv7dhwwZ99tlnvqsOAOC3PL4La/PmzRV+81eS+vTpo6+++srrRQEA/J/HAXLjjTfqgw8qjiGzdOlSxcfHe70oAID/8/g23hdffFHjx4/X22+/rcaNG6uoqEjh4eGaM2eOL+sDAPgpjwOkXbt2Wr9+vf7973/ryJEjatSokTp16qSIiAhf1gcA8FNXNYxuRESEunTpogEDBuj2228nPAAElPKyc3dgentIj/PbvZLevXtrz549Xv3sC+Xn56tr164+2/7FruoXCQEgkIWGRyjn1ce8vt3OT7/t9W0GAn7IAwBssnXrVqWnp19yeuvWrUpLS9Nzzz2nQYMGKTU1Vfv373cv+49//EOpqalKTU3ViBEj9Ntvv7nnzZw5Uw8++KBSUlL0/fff+6x+AgQA/NS+ffs0bNgwrV69Wv3799e8efMknQuX+fPna9GiRVq1apUWLFig2NhYSdKJEyfUqVMnrVy5UuPGjdPrr7/us/oIEADwUy1btlS7du0kSZ06dVJeXp4kadOmTUpLS3OPQxgTE+MepyomJka9evWqtI4vECAAYJOwsLAKPyjlcDgqzI+MjHS/Dg0NVVlZ2RW3aWUdqwgQALBJixYtlJeXp5MnT8oYo7Vr13q0Xq9evZSdne2+7lFSUqLS0lJflnpJ3IUFADVo1KhRCgsLqzCdnp6u5s2b69Zbb9XevXuvuI077rhDY8eO1ahRoxQSEqLw8HAtWLDAl2Vfkse/BxLozo9pv3D1fkbjBf7L09F4g+X3QMrLnAoN9/7za77arqfs+j0QTmEBqDXOf8kXFxf7ZLu1DQECALDE59dAhgwZotLSUjmdTh04cECtW7eWJJ0+fVr169dXVlaWr0sAAPiAzwNk+fLlks6N0TJ48GBlZ2dLOvcgzPTp06u9fZfLVeGCFABcyBijkJAQu8vwe1Yuh9t6Csvlcl3yMf2srCxNmDDBvdyF01lZWRozZoymTJmi9PR0nw5MBiCwRUdH6+jRo5a+HGsTY4yOHj2q6Ojoq1rP1tt49+3bp5dfflkvvPCC3nzzTc2bN08zZsy44nrbtm1TdnY2P2YFoErNmzdXfn6+/vOf/1R4v7S0tMIDd4HOG/1ER0erefPmV7WOrQFy8WP6X375pUfrJScnWw6PWX9Kq3QrGoD/Z/ctqd4UERGhli1bVno/JydHHTt2tKEi37CrH1sD5HKP3IeFham8vNw97+LH+6tzv/PO+c9KZ09bXh8IdrV1aHJcPb+8jTc+Pl4//fSTSktLVVpaqvXr19tdEgDgIn45lElSUpLuvPNODRw4UM2bN9fNN99c6RwmAMBetW4oE32zhFNYQBUudQorUIcyuRz68RxDmQAAvI4AAQBYQoAAACwhQAAAlhAgAABL/PI2XgDVs+s/Jdqw77gcZeVXXvgiUTsfrfSew+HwaASHmJgYZWZmqlu3blf9uQg8BAgQhL765aQKTln8jeySgmp99rJlywiQWoIAAYLQvS3ryeEqt3YEcl3jSu9dzRHI0KFDr/ozEZgIECAItW0Uo7aNYiytWxseJIR3cBEdAGAJAQIAsIQAAQBYQoAAACwhQAAAlhAgAABLCBAAgCUECADAklr3IGGH/33FoydqgdqqvMyp0PAIu8tAAOAIJIDl5OTYXYJXBVM/gdwL4QFPESAAAEsIEACAJQQIAMASAgQAYAkBAgCwhAABAFhCgAAALCFAAACWECABLNh+YjSY+gnEXkqdLrtLQICpdUOZTHw5W6dKnHaXAfidpa8Ot7sEBBiOQAAAlhAgAABLCBAAgCUECADAEgIEAGAJAQIAsIQAAQBYQoAAACypdQ8SAv7AcTJPvxduk3H5z0Otjz66/rLzHA6HoqKiarAaz8XExCgzM1PdunWzu5RahwABbFB8eIfKSo7aXUYFBQWn7C7BsmXLlhEgNiBAABvUaXKrfi90+tURSJOGsZed5+9HIEOHDrW7jFqJAAFsEFWvhaLqtbC7jAreq2IsrJycnIAcIBK+xUV0AIAlBAgAwBICBABgCQECALDELy+i9+7dW5GRke67Prp27ao///nPFZaZOnWqHnroIXXp0sWOEgGg1vPLAJGk2bNnKyEh4ZLzXC6XXnrppRquCABwoYA4hZWVlaUxY8ZoypQpSk9P1549ezRy5Eh9+eWXdpcGALWW3x6BTJgwwX0K65FHHtG2bduUnZ2t+Ph4mysDAEh+HCAXnsLKyspScnKyV8Jj1p/S/PaJWsBf+etDhOVlToWGR9hdRq3ltwFysTp16nhlOzvnPyudPe2VbQGwV+en37a7hFotIK6BAAD8DwECALDEL09hffHFFxWm09PTlZ6eXuG9999/vyZLAgBchCMQAIAlBAgAwBICBABgCQECALCEAAEAWOKXd2EB8J1d/ynRhn3H5Sgrt7uUaova+ail9fz5N94vJSYmRpmZmerWrZvdpVRAgAC1zFe/nFTBqVK7y/COkgK7K6gxy5YtI0AA2OvelvXkcJUHxxHIdY0trReIRyBDhw61u4xKCBCglmnbKEZtG8XYXYZXWB0LKycnx28HiAwkXEQHAFhCgAAALCFAAACWECAAAEsIEACAJQQIAMASAgQAYAkBAgCwpNY9SNjhf18JqCdQAVxeeZlToeERdpdRa3EEEsBycnLsLsGrgqmfYOpF8t9+CA97ESAAAEsIEACAJbXmGogxRpJUWhokw1j/l8PhsLsErwqmfoKpF4l+/J2v+jn/nXn+O/RCIeZS7wah06dPa8+ePXaXAQABKSEhQbGxsRXeqzUBUl5eruLiYkVERCgkJMTucgAgIBhj5HQ6VadOHYWGVrzqUWsCBADgXVxEBwBYQoAAACwhQAAAlhAgAABLCBAAgCUECADAEgIEAGBJUATIL7/8oocfflgpKSl6+OGHdeDAgUrLuFwuTZs2TX379lW/fv20fPlyj+bVtOr2MmfOHN15551KS0tTWlqapk2bVoPVV+ZJP//617+Unp6uDh06aPr06RXm+dO+karfTyDun7lz5+qBBx5Qamqq0tPT9fXXX7vnBeL+qaoff9o/nvTyySefaNCgQUpLS9OgQYP03nvvuefVyL4xQWDkyJFm5cqVxhhjVq5caUaOHFlpmRUrVpjRo0cbl8tljh49anr06GHy8vKuOK+mVbeX2bNnm1deeaVGa66KJ/0cOHDA/PDDD+aNN96oVLs/7Rtjqt9PIO6fzZs3m5KSEmOMMbt27TKdO3c2Z86cMcYE5v6pqh9/2j+e9HL69GlTXl7uft2zZ0+za9cuY0zN7JuAPwI5evSofvzxRw0cOFCSNHDgQP344486duxYheXWrVunIUOGKDQ0VA0aNFDfvn312WefXXFeoPXiTzzt58Ybb1S7du0UHl55bE9/6tUb/fgTT/vp0aOHrrnmGklSYmKijDE6ceKEpMDcP1X14y887aVu3bruoZnOnj0rp9Ppnq6JfRPwAXLo0CE1btxYYWFhkqSwsDDdcMMNOnToUKXlmjZt6p6Oi4vT4cOHrzivJnmjF0lau3atBg0apNGjRys3N7dmir8ET/u50jb8Yd+cr6W6/UiBvX9Wrlyp+Ph4NWnSxL2NQN4/F/cj+cf+uZpePv/8cz3wwAPq1auXHnvsMSUmJrq34et9E/ABgoqGDRumzz//XKtXr9aYMWP05JNP6vjx43aXhf8K5P3z7bffatasWZoxY4bdpXjFpfoJxP3Tp08frV27VuvXr1d2drZ+/vnnGvvsgA+QuLg4FRUVyeVySTp34ejIkSOKi4urtFxhYaF7+tChQ+5/dVQ1ryZ5o5dGjRopIuLcz3zefffdiouL0969e2uog4o87edK2/CHfXO+lur2E6j7Jzc3V1OmTNHcuXPVqlWrCtsIxP1zuX78Zf9Y+W+tadOmuvXWW7Vp0yb3Nny9bwI+QK6//nq1bdtWa9askSStWbNGbdu2VYMGDSosd//992v58uUqLy/XsWPHtHHjRqWkpFxxXqD1UlRU5F5u165dKigoUMuWLWuuiQt42k9V/GXfSN7pJxD3z/bt2zVp0iTNnj1b7du3rzAvEPdPVf34y/7xtJf9+/e7Xx87dkxbt25VQkKCpBraN169JG+Tffv2mYyMDHPfffeZjIwMs3//fmOMMY899pjZvn27McaYsrIy89xzz5k+ffqYPn36mI8++si9flXzalp1e3n66afNAw88YAYNGmTS09PNpk2bbOnjPE/6+e6770yPHj1MUlKS6dSpk+nRo4fZvHmzMca/9o0x1e8nEPdPenq66dq1q0lNTXX/2b17tzEmMPdPVf340/7xpJeXXnrJDBgwwKSmpppBgwaZ9957z71+Tewbfg8EAGBJwJ/CAgDYgwABAFhCgAAALCFAAACWECAAAEsIEMALCgsLlZSU5H7wC6gNCBDAot69e2vLli2Szj0FnJub6x67qKYlJibq119/teWzUXsRIAAASwgQwIIpU6aosLBQjz/+uJKSkrRw4UIlJiaqrKxMkjRy5EjNmDFDGRkZ6ty5s5544okrDhmen5+vxMREffzxx+revbu6d++uxYsXu+e7XC699dZb6tu3r5KSkpSenq5Dhw5p+PDhkqS0tDQlJSVp3bp1PusbqMDrz7YDtUSvXr3MN998Y4wxJi8vzyQkJBin02mMMWbEiBGme/fu5qeffjLFxcVm/PjxZvLkyVVu7/w2Jk2aZIqLi83u3btN165d3Z+xcOFCM3DgQLN//35TXl5udu3aZY4dO2aMMSYhIcEcOHDAh90ClXEEAvhIWlqaEhISFBMTo4kTJ+qzzz7z6CL7uHHjFBMTo8TERKWnp7sH1Fu+fLkmTpyoVq1aKSQkRG3atNF1113n6zaAyyJAAB+5cOjtpk2byul0evTbEheu16xZMx05ckSSdPjwYcXHx3u/UMAiAgTwkQt/Pe7QoUOKiIjw6IjhwvUKCwt1ww03SJKaNGmigwcPer9QwCICBLCoYcOGysvLu+z8VatWad++fTpz5oxmzZqllJQUj27znTdvns6cOaO9e/cqKytLAwYMkCQNGTJEs2bN0oEDB2SM0e7du91HNFeqBfAFAgSwaOzYsXrzzTfVpUsXrV+/vtL8tLQ0Pfvss7r77rtVWlqqqVOnerTdO+64Q/369VNmZqZGjx6t7t27S5JGjRql/v37a/To0UpOTtbUqVPlcDgkSePHj9ezzz6rLl26cBcWagy/BwL4wMiRI5WamqohQ4Z4vE5+fr769OmjH374QeHh4T6sDvAOjkAAAJbwzxygBq1atUrPP/98pfebNm2q+fPn21ARYB2nsAAAlnAKCwBgCQECALCEAAEAWEKAAAAsIUAAAJYQIAAAS/4Poo/sA5TlVkcAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -4438,7 +4438,7 @@
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.FacetGrid at 0x7f848a388ee0>"
+       "<seaborn.axisgrid.FacetGrid at 0x7f7cecec61c0>"
       ]
      },
      "execution_count": 98,
@@ -4447,7 +4447,7 @@
     },
     {
      "data": {
-      "image/png": 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3N6O7uxtGoxHp6ekAgNu3b2Pfvn14+PAh4uPjYTAYfAa4w+FAVVUVLl++jIiICGzfvt3rLwAiIqULeQ73m2++wfHjx7Fq1SrodDqsWrUKx48fh91uD3rsqlWrcOLECTz99NOjtpeXl6OwsBDNzc0oLCz0+/vRjEYjurq60NLSgg8//BDV1dW4d+9eqKUTESlCyIH73nvv4eOPP0ZFRQXOnTuHiooKfPLJJzh8+HDQY5cuXQqtVjtq24MHD9De3o5169YBANatW4f29nYMDAx4Hd/U1IT8/HxERkYiMTEROTk5/G3BRDTphDylcOHCBZw7dw4JCQkAgHnz5uEHP/gB1q9fj9/+9rdjvnBvby9mzZqFqKgoAEBUVBRSUlLQ29uLxMREr7azZ892/6zVaqfdeg5cinHyE3UPIyIi+MtdFSrkwPX8hlko25Wora0tpHYmk2lc51er1e7fhtHa2gq73Q61Wo36+nr09fUhJSUFRUVFAACbzQar1Yrh4eFRfzy3zZgxw71No9Fg3759MJvNWLBggdcxcXFxaG1tBQCv64Uy7ROq8fZNOCipFsB/Pa5xkZycPOoeDg4Owul0SnKPXNdwjZUPPvgAZrM5LGNgPCbLvZJCVlaW330hB+7atWvxxhtvoKSkBLNnz0Z3dzf+9Kc/Ye3ateMqSqvVwmw2w+FwICoqCg6HA319fV5TD662PT09WLRoEQDvJ95QZWZmIjo6OmAbk8kUsMOC0Wg0AACdTufeZrVaMTQ0BI1G496u0WgQGxuLmJiYUX88twEYta2/vx9DQ0Ow2Wxex3ie29f1pDDRvpGSkmoBgtej0Wi87uHQ0BAASHaPPMfU3bt3wzIGxmOy3atwCnkO99e//jVeeuklVFZW4qc//Smqqqrw4osvYs+ePeO6cFJSEjIyMnD+/HkAwPnz55GRkeE1nQB8F/YNDQ0YGRnBwMAALl68iNzc3HFdl4hILkED12Qy4b333oNarcabb76Jjz76CDdu3EBLSwvsdjva29uDXqSqqgqvvPIK7t+/jy1btuAnP/kJgO9WqK+vr0dubi7q6+tRUVHhPqa4uNj9f5HXr1+P1NRUrFmzBj/72c9QUlLCFcqIaNIJOqXw5z//GYWFhT73LVu2DLW1taitrQ14jrKyMpSVlXltnz9/PhoaGnweU1dX534dFRU1KoyJiCajoE+4HR0dWLFihc99L7/8csj/EEVENN0FDVyr1YpvvvnG575vv/0Wjx49krwoIqKpKGjgzps3D1euXPG578qVK5g3b57kRRERTUVBA/cXv/gFysvL0dLSgpGREQDAyMgIWlpaoNfrsWXLlrAXSUQ0FQT9R7O8vDz09/dj7969+OabbxAfH4+HDx9CrVajtLTU/dVcIiIKLKQvPmzZsgX5+fm4fv26e2Wv559/HrGxseGuj4hoygj5m2axsbF+P61ARETBTehX7BARUegYuAJxxS8SjWNOWUKeUqCJS0pKgl6vdy9xSRQKvV4Pi8WC5ORk6PX6MR3rGnOu85C8GLiCWSyWSbWkJcnPYrHAbDZP6HhSBk4pEBEJwsAlIhKEgUtEJAgDl4hIEAYuEZEgDFwiIkEYuEREgjBwiYgEYeASEQnCwCUiEoSBS0QkCAOXiEgQBi4RkSBcLYxIoZSwlOdEloYkbwxcIoVSwlKeE10akkbjlAIRkSAMXCIiQWSfUrh37x5KSkrcPw8NDcFqteKzzz4b1a66uhonT55ESkoKAGDJkiUoLy8XWisR0UTIHripqak4d+6c++eDBw/C4XD4bLthwwbs3btXVGlERJJS1JSC3W6H0WjEpk2b5C6FiEhyigrcS5cuYdasWVi4cKHP/Y2NjcjLy8PWrVtx/fp1wdUREU2M7FMKnk6fPu336bagoAA7duyASqXC1atXsXPnTjQ1NY3pc4ptbW0htTOZTCGf05NarYbNZgMAtLa2wm63u7dZrVYMDw+P+hNs24wZM7y2+TsmLi4Ora2tAOC+nmub3W4f1/uRsm/CQUm1AP7rcY0BX/fQ6XT6vEe+jgl0Px8fZwBCuk4gnuec6FiaLPdKCllZWX73KSZwzWYzrl27hkOHDvncn5yc7H69fPlyaLVadHZ24oUXXgj5GpmZmYiOjg7YxmQyBeywYDQaDQBAp9ON2hYbG4uYmJhRf4JtA+C1zd8xGo3GfU3X9Ty3SWGifSMlJdUCBK9Ho9H4vcf+7tHjxwS7n57jDEDI1wlEirE02e5VOClmSuHMmTNYuXKl3ydWzw9fd3R0oLu7G3PnzhVVHhHRhCnmCffMmTPYv3//qG3FxcUoLS2FTqfDkSNHcPPmTURGRkKlUuHQoUOjnnqJiJROMYHb3Nzsta2urs792mAwiCyHiEhyiplSICKa6hi4RESCKGZKgYjE4/KLYjFwiaYxLr8oFqcUiIgEYeASEQnCwCUiEoSBS0QkCAOXiEgQBi4RkSAMXCIiQRi4RESCMHCJiARh4BIRCcLAJSIShIFLRCQIAzcMIiIi5C4BgHLqIP9E3SOOBWXgamFhkJSU5F72Lj09XfY6AHDpPYXyHCvjXSJRr9cH/e3VUlyHJo6BGyauZe9mzpwpex2kbBNdItFiscDpdIb9OjRxnFIgIhKEgUtEJAgDl4hIEAYuEZEgDFwiIkEYuEREgjBwiYgEYeASEQnCwCUiEoSBS0QkiCK+2pudnQ21Wo3o6GgAwO7du7FixYpRbRwOB6qqqnD58mVERERg+/btyM/Pl6NcIqJxUUTgAsDx48cDLvRiNBrR1dWFlpYWPHz4EBs2bMBLL72E1NRUgVUSEY3fpJlSaGpqQn5+PiIjI5GYmIicnBxcuHBB7rImBS7NR6QMinnC3b17N5xOJ7KysvDWW2/hySefHLW/t7cXs2fPdv+s1Wpx//79MV2jra0tpHYmk2lM53VRq9Ww2WwYHh7G8PAwrFarz9ehbpsxY0bI54mLi0NraysAwGazjWo3c+ZM7Nu3D2azGSkpKSgqKoLdbh/Xexxv34SDHLWo1WrU19cDgFc/+qsn0LjwdQ/tdrvPYzz3Bzs3gDGNFc9t9fX16Ovrw4IFCwJeeyyUNG6A8NaTlZXld58iAvfEiRPQarWw2+04ePAgKisrcfjwYcmvk5mZ6Z4n9sdkMgXssGA0Gg1iYmIQExOD2NhYn69D3QYg5PNoNBrodDp3DY+36+/vx9DQ0Kh2YzXRvpGSnLVYrVYAGNWPwerxNy783UNfx/i7d77ODWBMY8Vzm9VqxdDQEGw2W9Brh0JJ4waQtx5FTClotVoA3/1tXVhYiM8//9xnm56eHvfPvb29eOqpp4TVSEQ0UbIHrs1mw9DQEADA6XSiqakJGRkZXu3Wrl2LhoYGjIyMYGBgABcvXkRubq7ocomIxk32KYUHDx5g165dcDgcGBkZwfz581FeXg4AKC4uRmlpKXQ6HdavX48bN25gzZo1AICSkhKkpaXJWToR0ZjIHrhpaWk4e/asz311dXXu11FRUaioqBBUFRGR9GSfUiAimi4YuEREgjBwiYgEYeASEQnCwCUiEoSBS0QkCAOXiEgQBi4RkSAM3CmCSzDKS61Wy13ChAQbPxMZX5O9b6Qk+zfNSBpJSUnQ6/VISEiQu5RJS6/Xj/rfsaivr4fVakVycvK4jpdbsPHj2g+E3j96vR4WiwXPPPMMTp8+DYvFMmn7RyoM3CnEYrHA6XTKXcakZbFYxn1sX1+fexGmySrY+Blr/1gsFpjNZsyYMQOPHj2C2WyeaImTHqcUiIgEYeASEQnCwCUiEoSBS0QkCAOXiEgQBi4RkSAMXCIiQRi4RESCMHCJiARh4BIRCcLAJSIShIFLRCQIA5dIQhNZxjCcSyRKZaI1KOE9yImrhQXgWl7Oc0k517b09HQMDg4iISEBg4OD7m2TjWtJPtd7mO7L5/njed8D8VzmcKzjwnWsv2Mmcm6pPF7j4OAggNFLNoayzON0HXMM3ABcy8v52jZz5kz09/fD6XSiv7/fvW2ycS3J53oP5JvnfQ+l7XjHRbDrTOTcUnn8vwF/NQY6frqOOU4pEBEJwsAlIhJE9imFwcFB7NmzB11dXVCr1Xj22WdRWVmJxMTEUe2qq6tx8uRJpKSkAACWLFmC8vJyOUomIhoX2QM3IiIC27Ztw7JlywAABoMBhw8fxu9+9zuvths2bMDevXtFl0hEJAnZpxTi4+PdYQsAixcvRk9Pj4wVERGFh+yB62lkZASnTp1Cdna2z/2NjY3Iy8vD1q1bcf36dcHVERFNjOxTCp4OHDgAjUaDoqIir30FBQXYsWMHVCoVrl69ip07d6KpqWlMvxa8ra0tpHYmkwlqtRo2mw1WqxVxcXFobW0FAPe24eHhUX+CbRvPMTNmzJDkPJ7bXO/Fbre736O//f76RimkrMXVFwC83r/nWHD1ldPpHNWPACZ8b6S6x8PDwwHrGet4Drb/8b54fEwBCHlMihLOcZyVleV3n2IC12Aw4M6dO6itrUVkpPeDd3Jysvv18uXLodVq0dnZiRdeeCHka2RmZiI6OjpgG5PJ5O4wjUaD2NhYaDQa6HS6UdtiYmJG/Qm2bTzHAJDkPJ7bPN+L6/0E2u+vb+QWjlo0Gg0A+Hz/j993X+0mem+kuseu+kIZA6GM51DGaaAxBXiP41DHXDjIOY4VMaVw9OhRtLW1oaamxv208DjPD0h3dHSgu7sbc+fOFVUiEdGEyf6E29nZidraWsyZMwcFBQUAgNTUVNTU1KC4uBilpaXQ6XQ4cuQIbt68icjISKhUKhw6dGjUUy8RkdLJHrjPPfccbt265XNfXV2d+7XBYBBVEhFRWChiSoGIaDpg4E4z0315PKmwH2k8ZJ9SILGCLQHoydfylNONv6UGH+9HBrD0puL4Y+BOQ6EuNehrecrpJtBSg2NZspHGbiqOP04pEBEJwsAlIhKEgUtEJAgDl4hIEAYuEZEgDFwiIkEYuEREgjBwiYgEYeASEQnCwCUiEoSBS0QkCAOXiEgQBm4IpvtKUK737+/XH00l0+FeS/0eJ1ufyTmOuVpYCFxL8Y3lNwRPJa73HxMTg9OnTytuyTzXvRkcHPSqzXMJxcHBQfc2f8ayfOVkJfV4lrLPgp3n8fvped8DbfN8PTw8HPQ3yHiOHykxcEMUaJm+6cBisWDGjBl49OiR4pbMc92b/v5+r9o8l1Ds7+8P+XxTfdlFqcezVH0W7DyP30/P+x5om+drm80WUh3hwCkFIiJBGLhERIIwcImIBGHgEhEJwsAlIhKEgUtEJAgDl4hIEAYuEZEgDFwiIkEYuEREgigicG/fvo3NmzcjNzcXmzdvxhdffOHVxuFwoKKiAjk5OVi9ejUaGhrEF0pENAGKCNzy8nIUFhaiubkZhYWFePvtt73aGI1GdHV1oaWlBR9++CGqq6tx7949GaolIhof2RevefDgAdrb2/HBBx8AANatW4cDBw5gYGAAiYmJ7nZNTU3Iz89HZGQkEhMTkZOTgwsXLmDbtm1Br+FapMNut4dU09dffw0AeOaZZxAbGwutVguNRoPvf//70Gg049o2nmOeeOIJfPXVVxM+z1jqSUxM9Pv+PevxbCcHlUo1qs5Q3wMAv3U/fp6x9GlUVBQePXok21hRcj2zZ8/2Gseh3q9g+8fzHr766qugY/eZZ54JOFaCUavVPpetjHDKvARWW1sb9u7di8bGRve2H//4x3jvvfewcOFC97a8vDwcPHgQixYtAgDU1dXBbDajrKws6DWGhobw73//W/riiYh8yMzMRHR0tNd22Z9wRZgxYwbS09OhUqkm3WLJRDT5+FvkXPbA1Wq1MJvNcDgciIqKgsPhQF9fH7RarVe7np4e9xNub28vZs+eHdI1IiMjERcXJ3ntRERjIfs/miUlJSEjIwPnz58HAJw/fx4ZGRmj5m8BYO3atWhoaMDIyAgGBgZw8eJF5ObmylEyEdG4yD6HCwD//e9/sW/fPnz55Zd48sknYTAYMG/ePBQXF6O0tBQ6nQ4OhwOVlZW4evUqAKC4uBibN2+WuXIiotApInCJiKYD2acUiIimCwYuEZEgDFwiIkEYuEREgsj+OVw5VVRU4J///CfUajU0Gg32798PnU7n1e7TTz/F9u3bMWfOHADffahZqsVzbt++jX379uHhw4eIj4+HwWBwX8fF4XCgqqoKly9fRkREBLZv3478/HxJru9pcHAQe/bsQVdXF9RqNZ599llUVlZ6fUSvuroaJ0+eREpKCgBgyZIlKC8vl7weAMjOzoZarXZ/a2f37t1YsWLFqDYi+ufevXsoKSlx/zw0NASr1YrPPvtsVLtw9o3BYEBzczO6u7thNBqRnp4OILQxBEjbT75qCXX8ANL3k7++CWX8AOL+G4NzGrt06ZLTbre7X69atcpnu08++cS5cePGsNTw2muvOc+ePet0Op3Os2fPOl977TWvNmfOnHFu3brV6XA4nA8ePHCuWLHCeffuXclrGRwcdH7yySfun999913nb37zG692x48fd7777ruSX9+XH/3oR85bt24FbCOqfzxVVVU5KyoqvLaHs2+uXbvm7Onp8eqTUMaQ0yltP/mqJdTx43RK30/++iaU8eN0ihtD03pK4Uc/+hFUKhUAYPHixbh//z5GRkaEXd+1cM+6desAfLdwT3t7OwYGBka187dwj9Ti4+OxbNky98+LFy9GT0+P5NeRmqj+cbHb7TAajdi0aVPYruHL0qVLvb6BGeoYAqTtJ1+1yDl+fNUzFqLG0LQOXE8nTpzA//3f/yEy0neXfPHFF9i4cSPy8/Nx5swZSa7Z29uLWbNmISoqCgAQFRWFlJQU9Pb2erXz/BqzVqvF/fv3JanBn5GREZw6dQrZ2dk+9zc2NiIvLw9bt27F9evXw1rL7t27kZeXB71ejy+//NJrv+j+uXTpEmbNmjVqcSVPIvsm1DHkaiuqn4KNH0BcPwUbP4C4vpnSc7gbN270+zfsxx9/7B6kjY2NMBqNOHHihM+2CxcuxD/+8Q/ExcXh7t272LJlC2bNmoWXX345bLXL7cCBA9BoNCgqKvLaV1BQgB07dkClUuHq1avYuXMnmpqakJCQIHkdJ06cgFarhd1ux8GDB1FZWYnDhw9Lfp2xOH36tN+nW5F9o2SBxg8grp+UNn6m9BPumTNn8Omnn/r84wrbjz76CEePHsX777+PmTNn+jxPbGyse/GbtLQ05OTk4PPPP59wfZ4L9wAIunCPS29vL5566qkJX98fg8GAO3fu4NixYz6f+JOTk91TMcuXL4dWq0VnZ2dYanH1hVqtRmFhoc9+F9k/ZrMZ165dQ15ens/9IvsGCH0MudqK6Kdg4wcQ10+hjB9XOxF9M6UDN5i//e1veOedd/D+++8jNTXVb7u+vj73IuYPHz7E1atXsWDBgglfX4kL9xw9ehRtbW2oqanxu8Sc2Wx2v+7o6EB3dzfmzp0reS02mw1DQ0MAvltEvqmpCRkZGV7tRPbPmTNnsHLlSr9PYqL6xiXUMQSI6adQxg8gpp9CHT+AuDE0rddSePHFF6FSqUYNzr/85S9ISEjA73//e6SkpODnP/856uvrcerUKXzve9+Dw+HA+vXrUVxcLEkNSlq4p7OzE+vWrcOcOXPwxBNPAABSU1NRU1Mzqp69e/fi5s2biIyMhEqlQmlpKVauXCl5PXfv3sWuXbvgcDgwMjKC+fPno6ysDCkpKbItbJSbm4v9+/fjlVdecW8T1TdVVVVoaWlBf38/EhISEB8fj8bGRr9j6PHapOwnX7UcO3bM7/h5vBap+8lXPbW1tX7HTzj7JpBpHbhERCJN6ykFIiKRGLhERIIwcImIBGHgEhEJwsAlIhKEgUtEJAgDl4hIEAYuEZEg/w9HjYN1qC/GjwAAAABJRU5ErkJggg==\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 360x360 with 1 Axes>"
       ]
@@ -4721,7 +4721,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -4752,7 +4752,7 @@
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.PairGrid at 0x7f848a131820>"
+       "<seaborn.axisgrid.PairGrid at 0x7f7ced16d850>"
       ]
      },
      "execution_count": 102,
@@ -4808,7 +4808,7 @@
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.FacetGrid at 0x7f8489d8c400>"
+       "<seaborn.axisgrid.FacetGrid at 0x7f7cec74d280>"
       ]
      },
      "execution_count": 103,
@@ -4817,7 +4817,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 796.725x360 with 2 Axes>"
       ]
@@ -4855,7 +4855,7 @@
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.FacetGrid at 0x7f848a0a7640>"
+       "<seaborn.axisgrid.FacetGrid at 0x7f7cec8dc880>"
       ]
      },
      "execution_count": 104,
@@ -4864,7 +4864,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x720 with 4 Axes>"
       ]
@@ -4903,7 +4903,7 @@
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.FacetGrid at 0x7f8482312340>"
+       "<seaborn.axisgrid.FacetGrid at 0x7f7ce4f83c40>"
       ]
      },
      "execution_count": 105,
@@ -5071,7 +5071,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5103,6 +5103,11 @@
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.8.8"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
+   }
   }
  },
  "nbformat": 4,
diff --git a/06. Statistical Analysis.html b/06. Statistical Analysis.html
index bda4c30..9f86f42 100644
--- a/06. Statistical Analysis.html	
+++ b/06. Statistical Analysis.html	
@@ -14282,6 +14282,7 @@ <h2><font color=green> Exploração de Dados com análise estatística</h2>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
 </pre></div>
 
      </div>
@@ -15208,13 +15209,28 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-qualitati
 
 </div>
 
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<ul>
+<li>Outra opção é utilizar o método pivot_table é parecida com a crosstab</li>
+</ul>
+
+</div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
 <div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[10]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">frequencia</span><span class="o">.</span><span class="n">T</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">rot</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">frequencia_sub</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">pivot_table</span><span class="p">(</span><span class="n">dados</span><span class="p">,</span> 
+                        <span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;Sexo&quot;</span><span class="p">],</span> 
+                        <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;Cor&quot;</span><span class="p">],</span> 
+                        <span class="n">aggfunc</span><span class="o">=</span><span class="s1">&#39;size&#39;</span><span class="p">,</span>
+                        <span class="n">fill_value</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+<span class="n">frequencia_sub</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">index</span> <span class="o">=</span> <span class="n">sexo</span><span class="p">,</span> <span class="n">inplace</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
+<span class="n">frequencia_sub</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span> <span class="o">=</span> <span class="n">cor</span><span class="p">,</span> <span class="n">inplace</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
+<span class="n">frequencia_sub</span>
 </pre></div>
 
      </div>
@@ -15234,6 +15250,94 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-qualitati
 
 
 
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th>Cor</th>
+      <th>Indígena</th>
+      <th>Branca</th>
+      <th>Preta</th>
+      <th>Amarela</th>
+      <th>Parda</th>
+    </tr>
+    <tr>
+      <th>Sexo</th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>Masculino</th>
+      <td>256</td>
+      <td>22194</td>
+      <td>5502</td>
+      <td>235</td>
+      <td>25063</td>
+    </tr>
+    <tr>
+      <th>Feminino</th>
+      <td>101</td>
+      <td>9621</td>
+      <td>2889</td>
+      <td>117</td>
+      <td>10862</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[11]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">frequencia</span><span class="o">.</span><span class="n">T</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">rot</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[11]:</div>
+
+
+
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
 <pre>&lt;AxesSubplot:xlabel=&#39;Cor&#39;&gt;</pre>
@@ -15261,6 +15365,59 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-qualitati
 
 </div>
 
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[12]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">heatmap</span><span class="p">(</span><span class="n">frequencia</span><span class="p">,</span> <span class="n">annot</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">fmt</span> <span class="o">=</span> <span class="s1">&#39;g&#39;</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[12]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre>&lt;AxesSubplot:xlabel=&#39;Cor&#39;, ylabel=&#39;Sexo&#39;&gt;</pre>
+</div>
+
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+
+
+<div class="jp-RenderedImage jp-OutputArea-output ">
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
+"
+>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
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+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[13]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">percentual</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">crosstab</span><span class="p">(</span><span class="n">dados</span><span class="o">.</span><span class="n">Sexo</span><span class="p">,</span>
@@ -15296,7 +15453,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-qualitati
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[11]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[13]:</div>
 
 
 
@@ -15373,7 +15530,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-qualitati
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[12]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[14]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">percentual</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">crosstab</span><span class="p">(</span><span class="n">dados</span><span class="o">.</span><span class="n">Sexo</span><span class="p">,</span>
@@ -15398,7 +15555,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-qualitati
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[12]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[14]:</div>
 
 
 
@@ -15467,7 +15624,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-qualitati
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[13]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[15]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">percentual</span><span class="o">.</span><span class="n">T</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">rot</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
@@ -15486,7 +15643,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-qualitati
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[13]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[15]:</div>
 
 
 
@@ -15543,7 +15700,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[14]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[16]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="nb">min</span><span class="p">(</span><span class="n">dados</span><span class="p">[</span><span class="s2">&quot;Renda&quot;</span><span class="p">])</span>
@@ -15562,7 +15719,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[14]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[16]:</div>
 
 
 
@@ -15580,7 +15737,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[15]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[17]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="nb">max</span><span class="p">(</span><span class="n">dados</span><span class="p">[</span><span class="s2">&quot;Renda&quot;</span><span class="p">])</span>
@@ -15599,7 +15756,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[15]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[17]:</div>
 
 
 
@@ -15631,7 +15788,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[16]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[18]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">classes</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1576</span><span class="p">,</span> <span class="mi">3152</span><span class="p">,</span> <span class="mi">7880</span><span class="p">,</span> <span class="mi">15760</span><span class="p">,</span> <span class="mi">200000</span><span class="p">]</span>
@@ -15654,7 +15811,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[17]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[19]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">frequencia</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">value_counts</span><span class="p">(</span>
@@ -15679,7 +15836,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[17]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[19]:</div>
 
 
 
@@ -15710,7 +15867,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[18]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[20]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">percentual</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">value_counts</span><span class="p">(</span>
@@ -15736,7 +15893,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[18]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[20]:</div>
 
 
 
@@ -15759,7 +15916,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[19]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[21]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">dist_freq_quantitativas_personalizadas</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
@@ -15781,7 +15938,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[19]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[21]:</div>
 
 
 
@@ -15848,7 +16005,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[20]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[22]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">dist_freq_quantitativas_personalizadas</span><span class="p">[</span><span class="s1">&#39;Frequência&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">barh</span><span class="p">(</span><span class="n">rot</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
@@ -15867,7 +16024,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[20]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[22]:</div>
 
 
 
@@ -15909,7 +16066,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[21]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[23]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">dados</span><span class="o">.</span><span class="n">Altura</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">bins</span> <span class="o">=</span> <span class="mi">50</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>
@@ -15928,7 +16085,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[21]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[23]:</div>
 
 
 
@@ -15962,7 +16119,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[22]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[24]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">dist_freq_quantitativas_personalizadas</span><span class="p">[</span><span class="s1">&#39;Frequência&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">width</span><span class="o">=</span> <span class="mi">1</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span> <span class="s1">&#39;blue&#39;</span><span class="p">,</span> <span class="n">alpha</span> <span class="o">=</span> <span class="mf">0.2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span> <span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
@@ -15981,7 +16138,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[22]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[24]:</div>
 
 
 
@@ -16028,7 +16185,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[23]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[25]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">dados</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
@@ -16048,7 +16205,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[23]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[25]:</div>
 
 
 
@@ -16206,7 +16363,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[24]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[26]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">sexo</span> <span class="o">=</span> <span class="p">{</span><span class="mi">0</span><span class="p">:</span> <span class="s1">&#39;Masculino&#39;</span><span class="p">,</span>
@@ -16221,7 +16378,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[25]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[27]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;Genero&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;Sexo&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">sexo</span><span class="p">[</span><span class="n">x</span><span class="p">])</span>
@@ -16241,7 +16398,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[25]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[27]:</div>
 
 
 
@@ -16411,7 +16568,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[26]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[28]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;Altura&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">box</span><span class="p">(</span><span class="n">vert</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span><span class="mi">2</span><span class="p">))</span>
@@ -16430,7 +16587,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[26]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[28]:</div>
 
 
 
@@ -16464,7 +16621,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[27]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[29]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">boxplot</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">boxplot</span><span class="p">(</span><span class="n">vert</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">column</span><span class="o">=</span><span class="s1">&#39;Altura&#39;</span><span class="p">,</span> <span class="n">by</span><span class="o">=</span><span class="s1">&#39;Genero&#39;</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span><span class="mi">5</span><span class="p">))</span>
@@ -16503,7 +16660,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[28]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[30]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">&#39;Renda &lt; 10000&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">boxplot</span><span class="p">(</span><span class="n">vert</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">column</span><span class="o">=</span><span class="s1">&#39;Renda&#39;</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span><span class="mi">2</span><span class="p">))</span>
@@ -16522,7 +16679,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[28]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[30]:</div>
 
 
 
@@ -16556,7 +16713,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[29]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[31]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">&#39;Renda &lt; 10000&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">boxplot</span><span class="p">(</span><span class="n">vert</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">column</span><span class="o">=</span><span class="s1">&#39;Renda&#39;</span><span class="p">,</span> <span class="n">by</span><span class="o">=</span><span class="s1">&#39;Genero&#39;</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span><span class="mi">5</span><span class="p">))</span>
@@ -16575,7 +16732,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[29]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[31]:</div>
 
 
 
@@ -16609,7 +16766,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[30]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[32]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">boxplot</span><span class="p">(</span><span class="n">vert</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">column</span><span class="o">=</span><span class="s1">&#39;Anos de Estudo&#39;</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span><span class="mi">2</span><span class="p">))</span>
@@ -16628,7 +16785,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[30]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[32]:</div>
 
 
 
@@ -16662,7 +16819,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[31]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[33]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">boxplot</span><span class="p">(</span><span class="n">vert</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">column</span><span class="o">=</span><span class="s1">&#39;Anos de Estudo&#39;</span><span class="p">,</span> <span class="n">by</span><span class="o">=</span><span class="s1">&#39;Genero&#39;</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span><span class="mi">5</span><span class="p">))</span>
@@ -16681,7 +16838,7 @@ <h3 id="Distribui&#231;&#227;o-de-frequ&#234;ncias-para-vari&#225;veis-quantitat
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[31]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[33]:</div>
 
 
 
@@ -16723,7 +16880,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[32]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[34]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">data</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;Fulano&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mf">8.0</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">8</span><span class="p">],</span>
@@ -16756,7 +16913,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
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-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[32]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[34]:</div>
 
 
 
@@ -16847,7 +17004,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[33]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[35]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">style</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;o&#39;</span><span class="p">,</span><span class="s1">&#39;x&#39;</span><span class="p">,</span><span class="s1">&#39;*&#39;</span><span class="p">],</span> <span class="n">rot</span><span class="o">=</span><span class="mi">45</span><span class="p">,</span> 
@@ -16869,7 +17026,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[33]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[35]:</div>
 
 
 
@@ -16904,7 +17061,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
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 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[34]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[36]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
@@ -16923,7 +17080,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[34]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[36]:</div>
 
 
 
@@ -16945,7 +17102,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[35]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[37]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">notas_fulano</span> <span class="o">=</span> <span class="n">df</span><span class="p">[[</span><span class="s1">&#39;Fulano&#39;</span><span class="p">]]</span>
@@ -16965,7 +17122,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[35]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[37]:</div>
 
 
 
@@ -17046,7 +17203,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[36]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[38]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">nota_media_fulano</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;Fulano&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
@@ -17066,7 +17223,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[36]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[38]:</div>
 
 
 
@@ -17092,7 +17249,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
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 <div class="jp-Cell-inputWrapper">
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[37]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[39]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">notas_fulano</span><span class="p">[</span><span class="s1">&#39;Desvio&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">notas_fulano</span><span class="p">[</span><span class="s1">&#39;Fulano&#39;</span><span class="p">]</span> <span class="o">-</span> <span class="n">nota_media_fulano</span>
@@ -17116,7 +17273,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
 
 
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@@ -17129,7 +17286,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[37]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[39]:</div>
 
 
 
@@ -17219,7 +17376,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
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 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[38]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[40]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">notas_fulano</span><span class="p">[</span><span class="s1">&#39;|Desvio|&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">notas_fulano</span><span class="p">[</span><span class="s1">&#39;Desvio&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">abs</span><span class="p">()</span>
@@ -17239,7 +17396,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[38]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[40]:</div>
 
 
 
@@ -17330,7 +17487,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
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 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[39]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[41]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">notas_fulano</span><span class="o">.</span><span class="n">index</span>
@@ -17349,7 +17506,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[39]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[41]:</div>
 
 
 
@@ -17369,7 +17526,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
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 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[40]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[42]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">notas_fulano</span><span class="p">[</span><span class="s1">&#39;Média&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">nota_media_fulano</span>
@@ -17383,7 +17540,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
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 <div class="jp-Cell-inputWrapper">
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[41]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[43]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">notas_fulano</span><span class="p">[[</span><span class="s1">&#39;Fulano&#39;</span><span class="p">,</span> <span class="s1">&#39;Média&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">style</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;o&#39;</span><span class="p">,</span><span class="s1">&#39;-&#39;</span><span class="p">],</span> <span class="n">rot</span><span class="o">=</span><span class="mi">45</span><span class="p">,</span> <span class="n">yticks</span><span class="o">=</span><span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="mi">11</span><span class="p">))</span>
@@ -17402,7 +17559,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[41]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[43]:</div>
 
 
 
@@ -17444,7 +17601,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
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 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[42]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[44]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">notas_fulano</span><span class="p">[</span><span class="s1">&#39;|Desvio|&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
@@ -17463,7 +17620,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[42]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[44]:</div>
 
 
 
@@ -17489,7 +17646,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[43]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[45]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">notas_fulano</span><span class="p">[</span><span class="s1">&#39;Fulano&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">mad</span><span class="p">()</span>
@@ -17508,7 +17665,7 @@ <h3 id="Medidas-de-dispers&#227;o">Medidas de dispers&#227;o<a class="anchor-lin
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[43]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[45]:</div>
 
 
 
@@ -17568,7 +17725,7 @@ <h2><font color=green> Correlação e covariância</h2>
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 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[44]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[46]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
@@ -17591,7 +17748,7 @@ <h2><font color=green> Correlação e covariância</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[45]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[47]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">price</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;datasets/price_stocks.csv&#39;</span><span class="p">,</span><span class="n">index_col</span><span class="o">=</span><span class="s1">&#39;Date&#39;</span><span class="p">)</span>
@@ -17611,7 +17768,7 @@ <h2><font color=green> Correlação e covariância</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[45]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[47]:</div>
 
 
 
@@ -17697,7 +17854,7 @@ <h2><font color=green> Correlação e covariância</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[46]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[48]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">price</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">style</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;r-&#39;</span><span class="p">,</span><span class="s1">&#39;g-&#39;</span><span class="p">,</span><span class="s1">&#39;b-&#39;</span><span class="p">,</span><span class="s1">&#39;y-&#39;</span><span class="p">],</span> <span class="n">rot</span><span class="o">=</span><span class="mi">45</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>
@@ -17716,7 +17873,7 @@ <h2><font color=green> Correlação e covariância</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[46]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[48]:</div>
 
 
 
@@ -17750,7 +17907,7 @@ <h2><font color=green> Correlação e covariância</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[47]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[49]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">volume</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;datasets/volume_stocks.csv&#39;</span><span class="p">,</span><span class="n">index_col</span><span class="o">=</span><span class="s1">&#39;Date&#39;</span><span class="p">)</span>
@@ -17770,7 +17927,7 @@ <h2><font color=green> Correlação e covariância</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[47]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[49]:</div>
 
 
 
@@ -17856,7 +18013,7 @@ <h2><font color=green> Correlação e covariância</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[48]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[50]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">volume</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">style</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;r-&#39;</span><span class="p">,</span><span class="s1">&#39;g-&#39;</span><span class="p">,</span><span class="s1">&#39;b-&#39;</span><span class="p">,</span><span class="s1">&#39;y-&#39;</span><span class="p">],</span> <span class="n">rot</span><span class="o">=</span><span class="mi">45</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>
@@ -17875,7 +18032,7 @@ <h2><font color=green> Correlação e covariância</h2>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[48]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[50]:</div>
 
 
 
@@ -17917,7 +18074,7 @@ <h2><font color=green> Correlação e covariância</h2>
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 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[49]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[51]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">returns</span> <span class="o">=</span> <span class="n">price</span><span class="o">.</span><span class="n">pct_change</span><span class="p">()</span>
@@ -17937,7 +18094,7 @@ <h2><font color=green> Correlação e covariância</h2>
 <div class="jp-OutputArea-child">
 
     
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 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">returns</span><span class="p">[</span><span class="s1">&#39;MSFT&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">corr</span><span class="p">(</span><span class="n">returns</span><span class="p">[</span><span class="s1">&#39;IBM&#39;</span><span class="p">])</span>
@@ -18050,7 +18207,7 @@ <h2><font color=green> Correlação e covariância</h2>
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@@ -18076,7 +18233,7 @@ <h2><font color=green> Correlação e covariância</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[51]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[53]:</div>
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 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">returns</span><span class="p">[</span><span class="s1">&#39;MSFT&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">cov</span><span class="p">(</span><span class="n">returns</span><span class="p">[</span><span class="s1">&#39;IBM&#39;</span><span class="p">])</span>
@@ -18095,7 +18252,7 @@ <h2><font color=green> Correlação e covariância</h2>
 <div class="jp-OutputArea-child">
 
     
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@@ -18121,7 +18278,7 @@ <h2><font color=green> Correlação e covariância</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[52]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[54]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">returns</span><span class="o">.</span><span class="n">corr</span><span class="p">()</span>
@@ -18140,7 +18297,7 @@ <h2><font color=green> Correlação e covariância</h2>
 <div class="jp-OutputArea-child">
 
     
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@@ -18212,7 +18369,7 @@ <h2><font color=green> Correlação e covariância</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[53]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[55]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">returns</span><span class="o">.</span><span class="n">cov</span><span class="p">()</span>
@@ -18231,7 +18388,7 @@ <h2><font color=green> Correlação e covariância</h2>
 <div class="jp-OutputArea-child">
 
     
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@@ -18303,7 +18460,7 @@ <h2><font color=green> Correlação e covariância</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[54]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[56]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
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 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">price</span><span class="p">[[</span><span class="s1">&#39;IBM&#39;</span><span class="p">,</span> <span class="s1">&#39;MSFT&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">style</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;-&#39;</span><span class="p">,</span><span class="s1">&#39;r-&#39;</span><span class="p">],</span> <span class="n">rot</span><span class="o">=</span><span class="mi">45</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>
@@ -18322,7 +18479,7 @@ <h2><font color=green> Correlação e covariância</h2>
 <div class="jp-OutputArea-child">
 
     
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+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[56]:</div>
 
 
 
@@ -18364,7 +18521,7 @@ <h2><font color=green> Correlação e covariância</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[55]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[57]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">returns</span><span class="o">.</span><span class="n">corrwith</span><span class="p">(</span><span class="n">returns</span><span class="p">[</span><span class="s1">&#39;IBM&#39;</span><span class="p">])</span>
@@ -18383,7 +18540,7 @@ <h2><font color=green> Correlação e covariância</h2>
 <div class="jp-OutputArea-child">
 
     
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+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[57]:</div>
 
 
 
@@ -18413,7 +18570,7 @@ <h2><font color=green> Correlação e covariância</h2>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[56]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[58]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">returns</span><span class="o">.</span><span class="n">corrwith</span><span class="p">(</span><span class="n">volume</span><span class="p">)</span>
@@ -18432,7 +18589,7 @@ <h2><font color=green> Correlação e covariância</h2>
 <div class="jp-OutputArea-child">
 
     
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+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[58]:</div>
 
 
 
diff --git a/06. Statistical Analysis.ipynb b/06. Statistical Analysis.ipynb
index feef606..3bdbd12 100644
--- a/06. Statistical Analysis.ipynb	
+++ b/06. Statistical Analysis.ipynb	
@@ -15,7 +15,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import pandas as pd"
+    "import pandas as pd\n",
+    "import seaborn as sns"
    ]
   },
   {
@@ -688,9 +689,103 @@
     "frequencia_sub"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "666063ed",
+   "metadata": {},
+   "source": [
+    "- Outra opção é utilizar o método pivot_table é parecida com a crosstab"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 10,
+   "id": "8aca1056",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>Cor</th>\n",
+       "      <th>Indígena</th>\n",
+       "      <th>Branca</th>\n",
+       "      <th>Preta</th>\n",
+       "      <th>Amarela</th>\n",
+       "      <th>Parda</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sexo</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Masculino</th>\n",
+       "      <td>256</td>\n",
+       "      <td>22194</td>\n",
+       "      <td>5502</td>\n",
+       "      <td>235</td>\n",
+       "      <td>25063</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Feminino</th>\n",
+       "      <td>101</td>\n",
+       "      <td>9621</td>\n",
+       "      <td>2889</td>\n",
+       "      <td>117</td>\n",
+       "      <td>10862</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Cor        Indígena  Branca  Preta  Amarela  Parda\n",
+       "Sexo                                              \n",
+       "Masculino       256   22194   5502      235  25063\n",
+       "Feminino        101    9621   2889      117  10862"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "frequencia_sub = pd.pivot_table(dados, \n",
+    "                        index=[\"Sexo\"], \n",
+    "                        columns=[\"Cor\"], \n",
+    "                        aggfunc='size',\n",
+    "                        fill_value=0)\n",
+    "frequencia_sub.rename(index = sexo, inplace = True)\n",
+    "frequencia_sub.rename(columns = cor, inplace = True)\n",
+    "frequencia_sub"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
    "id": "6de00cfd",
    "metadata": {},
    "outputs": [
@@ -700,7 +795,7 @@
        "<AxesSubplot:xlabel='Cor'>"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -721,6 +816,39 @@
     "frequencia.T.plot.bar(rot=0)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "8c7c6c9a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Cor', ylabel='Sexo'>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.heatmap(frequencia, annot = True, fmt = 'g')"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "e380a25f",
@@ -731,7 +859,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 13,
    "id": "7f32e4f5",
    "metadata": {},
    "outputs": [
@@ -799,7 +927,7 @@
        "Feminino   0.131442  12.520822  3.759761  0.152264  14.135867"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -823,7 +951,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
    "id": "477d47b0",
    "metadata": {},
    "outputs": [
@@ -891,7 +1019,7 @@
        "Feminino   2464.386139  2109.866750  1134.596400  3027.341880  1176.758516"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -908,7 +1036,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 15,
    "id": "25af4698",
    "metadata": {},
    "outputs": [
@@ -918,7 +1046,7 @@
        "<AxesSubplot:xlabel='Cor'>"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -980,7 +1108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 16,
    "id": "b057a2e9",
    "metadata": {},
    "outputs": [
@@ -990,7 +1118,7 @@
        "0"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1001,7 +1129,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 17,
    "id": "053f446e",
    "metadata": {},
    "outputs": [
@@ -1011,7 +1139,7 @@
        "200000"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1038,7 +1166,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 18,
    "id": "a91653f6",
    "metadata": {
     "colab": {},
@@ -1061,7 +1189,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 19,
    "id": "dfb8804a",
    "metadata": {},
    "outputs": [
@@ -1076,7 +1204,7 @@
        "Name: Renda, dtype: int64"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1101,7 +1229,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 20,
    "id": "994cbe41",
    "metadata": {},
    "outputs": [
@@ -1116,7 +1244,7 @@
        "Name: Renda, dtype: float64"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1134,7 +1262,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 21,
    "id": "80cf2052",
    "metadata": {},
    "outputs": [
@@ -1202,7 +1330,7 @@
        "E       49755        64.751432"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1216,7 +1344,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 22,
    "id": "accd06de",
    "metadata": {},
    "outputs": [
@@ -1226,7 +1354,7 @@
        "<AxesSubplot:>"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1257,7 +1385,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 23,
    "id": "09c79119",
    "metadata": {},
    "outputs": [
@@ -1267,7 +1395,7 @@
        "<AxesSubplot:>"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1290,7 +1418,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 24,
    "id": "830eba24",
    "metadata": {},
    "outputs": [
@@ -1300,7 +1428,7 @@
        "<AxesSubplot:>"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1340,7 +1468,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 25,
    "id": "5f7dcc78",
    "metadata": {},
    "outputs": [
@@ -1507,7 +1635,7 @@
        "[76840 rows x 7 columns]"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1519,7 +1647,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 26,
    "id": "6481b33e",
    "metadata": {},
    "outputs": [],
@@ -1530,7 +1658,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 27,
    "id": "60136b69",
    "metadata": {},
    "outputs": [
@@ -1709,7 +1837,7 @@
        "[76840 rows x 8 columns]"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1721,7 +1849,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 28,
    "id": "6e5fe060",
    "metadata": {},
    "outputs": [
@@ -1731,7 +1859,7 @@
        "<AxesSubplot:>"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1754,7 +1882,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 29,
    "id": "e74e4530",
    "metadata": {},
    "outputs": [
@@ -1777,7 +1905,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 30,
    "id": "73f9dd3f",
    "metadata": {},
    "outputs": [
@@ -1787,7 +1915,7 @@
        "<AxesSubplot:>"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1810,7 +1938,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 31,
    "id": "324fc3ce",
    "metadata": {},
    "outputs": [
@@ -1820,7 +1948,7 @@
        "<AxesSubplot:title={'center':'Renda'}, xlabel='Genero'>"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1843,7 +1971,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 32,
    "id": "1fcb6ba7",
    "metadata": {},
    "outputs": [
@@ -1853,7 +1981,7 @@
        "<AxesSubplot:>"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1876,7 +2004,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 33,
    "id": "8b9c25e7",
    "metadata": {},
    "outputs": [
@@ -1886,7 +2014,7 @@
        "<AxesSubplot:title={'center':'Anos de Estudo'}, xlabel='Genero'>"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1918,7 +2046,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 34,
    "id": "5ea70c35",
    "metadata": {},
    "outputs": [
@@ -2013,7 +2141,7 @@
        "Química        8.0      10.0      7.0"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2038,7 +2166,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 35,
    "id": "8ce6319e",
    "metadata": {},
    "outputs": [
@@ -2049,7 +2177,7 @@
        "        <AxesSubplot:xlabel='Matérias'>]], dtype=object)"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2075,7 +2203,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 36,
    "id": "42aae55a",
    "metadata": {},
    "outputs": [
@@ -2089,7 +2217,7 @@
        "dtype: float64"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2100,7 +2228,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 37,
    "id": "7f464fb9",
    "metadata": {},
    "outputs": [
@@ -2177,7 +2305,7 @@
        "Química        8.0"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2197,7 +2325,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 38,
    "id": "8089d30f",
    "metadata": {},
    "outputs": [
@@ -2207,7 +2335,7 @@
        "7.714285714285714"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2227,7 +2355,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 39,
    "id": "69d84f7c",
    "metadata": {},
    "outputs": [
@@ -2235,7 +2363,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "<ipython-input-37-e2160f3efa0b>:1: SettingWithCopyWarning: \n",
+      "<ipython-input-39-e2160f3efa0b>:1: SettingWithCopyWarning: \n",
       "A value is trying to be set on a copy of a slice from a DataFrame.\n",
       "Try using .loc[row_indexer,col_indexer] = value instead\n",
       "\n",
@@ -2325,7 +2453,7 @@
        "Química        8.0  0.285714"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2345,7 +2473,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 40,
    "id": "b1553e3b",
    "metadata": {},
    "outputs": [
@@ -2440,7 +2568,7 @@
        "Química        8.0  0.285714  0.285714"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2452,7 +2580,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 41,
    "id": "5186116b",
    "metadata": {},
    "outputs": [
@@ -2464,7 +2592,7 @@
        "      dtype='object', name='Matérias')"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2475,7 +2603,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 42,
    "id": "0e6b8ddf",
    "metadata": {},
    "outputs": [],
@@ -2485,7 +2613,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 43,
    "id": "ff112776",
    "metadata": {},
    "outputs": [
@@ -2495,7 +2623,7 @@
        "<AxesSubplot:xlabel='Matérias'>"
       ]
      },
-     "execution_count": 41,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2526,7 +2654,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 44,
    "id": "e79162ab",
    "metadata": {},
    "outputs": [
@@ -2536,7 +2664,7 @@
        "1.5510204081632648"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2555,7 +2683,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 45,
    "id": "969c6cca",
    "metadata": {},
    "outputs": [
@@ -2565,7 +2693,7 @@
        "1.5510204081632648"
       ]
      },
-     "execution_count": 43,
+     "execution_count": 45,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2603,7 +2731,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 46,
    "id": "d2a58c29",
    "metadata": {},
    "outputs": [],
@@ -2622,7 +2750,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 47,
    "id": "8ec4bf77",
    "metadata": {},
    "outputs": [
@@ -2710,7 +2838,7 @@
        "2010-01-08  6.51  90.40  23.77  299.89"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2722,7 +2850,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 48,
    "id": "a73103eb",
    "metadata": {},
    "outputs": [
@@ -2732,7 +2860,7 @@
        "<AxesSubplot:xlabel='Date'>"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2755,7 +2883,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 49,
    "id": "61f9063e",
    "metadata": {},
    "outputs": [
@@ -2843,7 +2971,7 @@
        "2010-01-08  447610800  4197200  51197400   9484016"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2855,7 +2983,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 50,
    "id": "29ce5046",
    "metadata": {},
    "outputs": [
@@ -2865,7 +2993,7 @@
        "<AxesSubplot:xlabel='Date'>"
       ]
      },
-     "execution_count": 48,
+     "execution_count": 50,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2896,7 +3024,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 51,
    "id": "55b9ef09",
    "metadata": {},
    "outputs": [
@@ -2984,7 +3112,7 @@
        "2015-12-31 -0.019370 -0.012341 -0.014858 -0.015720"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 51,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3004,7 +3132,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 52,
    "id": "2e019a1e",
    "metadata": {},
    "outputs": [
@@ -3014,7 +3142,7 @@
        "0.5080444874087222"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 52,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3033,7 +3161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 53,
    "id": "f47fd8f4",
    "metadata": {},
    "outputs": [
@@ -3043,7 +3171,7 @@
        "8.901383608936152e-05"
       ]
      },
-     "execution_count": 51,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3062,7 +3190,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 54,
    "id": "2ecbff50",
    "metadata": {},
    "outputs": [
@@ -3134,7 +3262,7 @@
        "GOOG  0.405395  0.413306  0.444555  1.000000"
       ]
      },
-     "execution_count": 52,
+     "execution_count": 54,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3145,7 +3273,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 55,
    "id": "b0b80388",
    "metadata": {},
    "outputs": [
@@ -3217,7 +3345,7 @@
        "GOOG  0.000110  0.000080  0.000105  0.000263"
       ]
      },
-     "execution_count": 53,
+     "execution_count": 55,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3228,7 +3356,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 56,
    "id": "926c8fea",
    "metadata": {},
    "outputs": [
@@ -3238,7 +3366,7 @@
        "<AxesSubplot:xlabel='Date'>"
       ]
      },
-     "execution_count": 54,
+     "execution_count": 56,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -3269,7 +3397,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 57,
    "id": "029dfd21",
    "metadata": {},
    "outputs": [
@@ -3283,7 +3411,7 @@
        "dtype: float64"
       ]
      },
-     "execution_count": 55,
+     "execution_count": 57,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3302,7 +3430,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 58,
    "id": "48bf3e72",
    "metadata": {},
    "outputs": [
@@ -3316,7 +3444,7 @@
        "dtype: float64"
       ]
      },
-     "execution_count": 56,
+     "execution_count": 58,
      "metadata": {},
      "output_type": "execute_result"
     }