10. Practice - IMDb.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a7aaf532",
   "metadata": {},
   "source": [
    "## <font color=green>  Análise de dados do dataset IMDb "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f4e6c9be",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8817eb72",
   "metadata": {},
   "outputs": [],
   "source": [
    "%config Completer.use_jedi = False"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94a97196",
   "metadata": {},
   "source": [
    "- Carregando os dados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "372e33aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies = pd.read_csv('datasets/Movie+Assignment+Data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d0f8414a",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns',70)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d945d6ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Title</th>\n",
       "      <th>title_year</th>\n",
       "      <th>budget</th>\n",
       "      <th>Gross</th>\n",
       "      <th>actor_1_name</th>\n",
       "      <th>actor_2_name</th>\n",
       "      <th>actor_3_name</th>\n",
       "      <th>actor_1_facebook_likes</th>\n",
       "      <th>actor_2_facebook_likes</th>\n",
       "      <th>actor_3_facebook_likes</th>\n",
       "      <th>IMDb_rating</th>\n",
       "      <th>genre_1</th>\n",
       "      <th>genre_2</th>\n",
       "      <th>genre_3</th>\n",
       "      <th>MetaCritic</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>CVotes10</th>\n",
       "      <th>CVotes09</th>\n",
       "      <th>CVotes08</th>\n",
       "      <th>CVotes07</th>\n",
       "      <th>CVotes06</th>\n",
       "      <th>CVotes05</th>\n",
       "      <th>CVotes04</th>\n",
       "      <th>CVotes03</th>\n",
       "      <th>CVotes02</th>\n",
       "      <th>CVotes01</th>\n",
       "      <th>CVotesMale</th>\n",
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       "      <th>CVotesU18M</th>\n",
       "      <th>CVotesU18F</th>\n",
       "      <th>CVotes1829</th>\n",
       "      <th>CVotes1829M</th>\n",
       "      <th>CVotes1829F</th>\n",
       "      <th>CVotes3044</th>\n",
       "      <th>CVotes3044M</th>\n",
       "      <th>CVotes3044F</th>\n",
       "      <th>CVotes45A</th>\n",
       "      <th>CVotes45AM</th>\n",
       "      <th>CVotes45AF</th>\n",
       "      <th>CVotes1000</th>\n",
       "      <th>CVotesUS</th>\n",
       "      <th>CVotesnUS</th>\n",
       "      <th>VotesM</th>\n",
       "      <th>VotesF</th>\n",
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       "      <th>VotesU18M</th>\n",
       "      <th>VotesU18F</th>\n",
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       "      <th>Votes1829M</th>\n",
       "      <th>Votes1829F</th>\n",
       "      <th>Votes3044</th>\n",
       "      <th>Votes3044M</th>\n",
       "      <th>Votes3044F</th>\n",
       "      <th>Votes45A</th>\n",
       "      <th>Votes45AM</th>\n",
       "      <th>Votes45AF</th>\n",
       "      <th>Votes1000</th>\n",
       "      <th>VotesUS</th>\n",
       "      <th>VotesnUS</th>\n",
       "      <th>content_rating</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>La La Land</td>\n",
       "      <td>2016</td>\n",
       "      <td>30000000</td>\n",
       "      <td>151101803</td>\n",
       "      <td>Ryan Gosling</td>\n",
       "      <td>Emma Stone</td>\n",
       "      <td>Amiée Conn</td>\n",
       "      <td>14000</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Music</td>\n",
       "      <td>93.0</td>\n",
       "      <td>128</td>\n",
       "      <td>74245</td>\n",
       "      <td>71191</td>\n",
       "      <td>64640</td>\n",
       "      <td>38831</td>\n",
       "      <td>17377</td>\n",
       "      <td>8044</td>\n",
       "      <td>3998</td>\n",
       "      <td>2839</td>\n",
       "      <td>2407</td>\n",
       "      <td>6802</td>\n",
       "      <td>157693</td>\n",
       "      <td>56713</td>\n",
       "      <td>2675</td>\n",
       "      <td>1784</td>\n",
       "      <td>868</td>\n",
       "      <td>113008</td>\n",
       "      <td>78998</td>\n",
       "      <td>32730</td>\n",
       "      <td>66058</td>\n",
       "      <td>50835</td>\n",
       "      <td>14165</td>\n",
       "      <td>15765</td>\n",
       "      <td>12148</td>\n",
       "      <td>3302</td>\n",
       "      <td>454</td>\n",
       "      <td>33360</td>\n",
       "      <td>117987</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.9</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.7</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.1</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.1</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Zootopia</td>\n",
       "      <td>2016</td>\n",
       "      <td>150000000</td>\n",
       "      <td>341268248</td>\n",
       "      <td>Ginnifer Goodwin</td>\n",
       "      <td>Jason Bateman</td>\n",
       "      <td>Idris Elba</td>\n",
       "      <td>2800</td>\n",
       "      <td>28000.0</td>\n",
       "      <td>27000.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Animation</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>78.0</td>\n",
       "      <td>108</td>\n",
       "      <td>53626</td>\n",
       "      <td>70912</td>\n",
       "      <td>102352</td>\n",
       "      <td>57261</td>\n",
       "      <td>16719</td>\n",
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       "      <td>733</td>\n",
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       "      <td>2362</td>\n",
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       "      <td>518</td>\n",
       "      <td>35975</td>\n",
       "      <td>122844</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.7</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.4</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.6</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Lion</td>\n",
       "      <td>2016</td>\n",
       "      <td>12000000</td>\n",
       "      <td>51738905</td>\n",
       "      <td>Dev Patel</td>\n",
       "      <td>Nicole Kidman</td>\n",
       "      <td>Rooney Mara</td>\n",
       "      <td>33000</td>\n",
       "      <td>96000.0</td>\n",
       "      <td>9800.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Biography</td>\n",
       "      <td>Drama</td>\n",
       "      <td>NaN</td>\n",
       "      <td>69.0</td>\n",
       "      <td>118</td>\n",
       "      <td>23325</td>\n",
       "      <td>29830</td>\n",
       "      <td>40564</td>\n",
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       "      <td>1669</td>\n",
       "      <td>558</td>\n",
       "      <td>309</td>\n",
       "      <td>182</td>\n",
       "      <td>493</td>\n",
       "      <td>68921</td>\n",
       "      <td>24977</td>\n",
       "      <td>702</td>\n",
       "      <td>477</td>\n",
       "      <td>220</td>\n",
       "      <td>42962</td>\n",
       "      <td>29729</td>\n",
       "      <td>12780</td>\n",
       "      <td>34297</td>\n",
       "      <td>26384</td>\n",
       "      <td>7413</td>\n",
       "      <td>9054</td>\n",
       "      <td>6714</td>\n",
       "      <td>2184</td>\n",
       "      <td>298</td>\n",
       "      <td>13478</td>\n",
       "      <td>53931</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.7</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>8.4</td>\n",
       "      <td>7.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>Australia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Arrival</td>\n",
       "      <td>2016</td>\n",
       "      <td>47000000</td>\n",
       "      <td>100546139</td>\n",
       "      <td>Amy Adams</td>\n",
       "      <td>Jeremy Renner</td>\n",
       "      <td>Forest Whitaker</td>\n",
       "      <td>35000</td>\n",
       "      <td>5300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>81.0</td>\n",
       "      <td>116</td>\n",
       "      <td>55533</td>\n",
       "      <td>87850</td>\n",
       "      <td>109536</td>\n",
       "      <td>65440</td>\n",
       "      <td>26913</td>\n",
       "      <td>10556</td>\n",
       "      <td>5057</td>\n",
       "      <td>3083</td>\n",
       "      <td>2194</td>\n",
       "      <td>4734</td>\n",
       "      <td>237437</td>\n",
       "      <td>46272</td>\n",
       "      <td>1943</td>\n",
       "      <td>1544</td>\n",
       "      <td>376</td>\n",
       "      <td>126301</td>\n",
       "      <td>101741</td>\n",
       "      <td>23163</td>\n",
       "      <td>111985</td>\n",
       "      <td>95005</td>\n",
       "      <td>15227</td>\n",
       "      <td>24027</td>\n",
       "      <td>20118</td>\n",
       "      <td>3440</td>\n",
       "      <td>537</td>\n",
       "      <td>42062</td>\n",
       "      <td>163774</td>\n",
       "      <td>7.9</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Manchester by the Sea</td>\n",
       "      <td>2016</td>\n",
       "      <td>9000000</td>\n",
       "      <td>47695371</td>\n",
       "      <td>Casey Affleck</td>\n",
       "      <td>Michelle Williams</td>\n",
       "      <td>Kyle Chandler</td>\n",
       "      <td>518</td>\n",
       "      <td>71000.0</td>\n",
       "      <td>3300.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>Drama</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>96.0</td>\n",
       "      <td>137</td>\n",
       "      <td>18191</td>\n",
       "      <td>33532</td>\n",
       "      <td>46596</td>\n",
       "      <td>29626</td>\n",
       "      <td>11879</td>\n",
       "      <td>4539</td>\n",
       "      <td>1976</td>\n",
       "      <td>1233</td>\n",
       "      <td>888</td>\n",
       "      <td>1834</td>\n",
       "      <td>92452</td>\n",
       "      <td>22834</td>\n",
       "      <td>855</td>\n",
       "      <td>681</td>\n",
       "      <td>166</td>\n",
       "      <td>55475</td>\n",
       "      <td>43467</td>\n",
       "      <td>11378</td>\n",
       "      <td>40645</td>\n",
       "      <td>32983</td>\n",
       "      <td>7053</td>\n",
       "      <td>11361</td>\n",
       "      <td>8862</td>\n",
       "      <td>2306</td>\n",
       "      <td>402</td>\n",
       "      <td>20287</td>\n",
       "      <td>65837</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.7</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.8</td>\n",
       "      <td>R</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Title  title_year     budget      Gross      actor_1_name  \\\n",
       "0             La La Land        2016   30000000  151101803      Ryan Gosling   \n",
       "1               Zootopia        2016  150000000  341268248  Ginnifer Goodwin   \n",
       "2                   Lion        2016   12000000   51738905         Dev Patel   \n",
       "3                Arrival        2016   47000000  100546139         Amy Adams   \n",
       "4  Manchester by the Sea        2016    9000000   47695371     Casey Affleck   \n",
       "\n",
       "         actor_2_name     actor_3_name  actor_1_facebook_likes  \\\n",
       "0          Emma Stone       Amiée Conn                   14000   \n",
       "1       Jason Bateman       Idris Elba                    2800   \n",
       "2       Nicole Kidman      Rooney Mara                   33000   \n",
       "3       Jeremy Renner  Forest Whitaker                   35000   \n",
       "4  Michelle Williams     Kyle Chandler                     518   \n",
       "\n",
       "   actor_2_facebook_likes  actor_3_facebook_likes  IMDb_rating    genre_1  \\\n",
       "0                 19000.0                     NaN          8.2     Comedy   \n",
       "1                 28000.0                 27000.0          8.1  Animation   \n",
       "2                 96000.0                  9800.0          8.1  Biography   \n",
       "3                  5300.0                     NaN          8.0      Drama   \n",
       "4                 71000.0                  3300.0          7.9      Drama   \n",
       "\n",
       "     genre_2 genre_3  MetaCritic  Runtime  CVotes10  CVotes09  CVotes08  \\\n",
       "0      Drama   Music        93.0      128     74245     71191     64640   \n",
       "1  Adventure  Comedy        78.0      108     53626     70912    102352   \n",
       "2      Drama     NaN        69.0      118     23325     29830     40564   \n",
       "3    Mystery  Sci-Fi        81.0      116     55533     87850    109536   \n",
       "4        NaN     NaN        96.0      137     18191     33532     46596   \n",
       "\n",
       "   CVotes07  CVotes06  CVotes05  CVotes04  CVotes03  CVotes02  CVotes01  \\\n",
       "0     38831     17377      8044      3998      2839      2407      6802   \n",
       "1     57261     16719      4539      1467       733       496      1386   \n",
       "2     20296      5842      1669       558       309       182       493   \n",
       "3     65440     26913     10556      5057      3083      2194      4734   \n",
       "4     29626     11879      4539      1976      1233       888      1834   \n",
       "\n",
       "   CVotesMale  CVotesFemale  CVotesU18  CVotesU18M  CVotesU18F  CVotes1829  \\\n",
       "0      157693         56713       2675        1784         868      113008   \n",
       "1      176202         52345       2362        1641         706      119637   \n",
       "2       68921         24977        702         477         220       42962   \n",
       "3      237437         46272       1943        1544         376      126301   \n",
       "4       92452         22834        855         681         166       55475   \n",
       "\n",
       "   CVotes1829M  CVotes1829F  CVotes3044  CVotes3044M  CVotes3044F  CVotes45A  \\\n",
       "0        78998        32730       66058        50835        14165      15765   \n",
       "1        87499        30813       75474        61358        13034      12353   \n",
       "2        29729        12780       34297        26384         7413       9054   \n",
       "3       101741        23163      111985        95005        15227      24027   \n",
       "4        43467        11378       40645        32983         7053      11361   \n",
       "\n",
       "   CVotes45AM  CVotes45AF  CVotes1000  CVotesUS  CVotesnUS  VotesM  VotesF  \\\n",
       "0       12148        3302         454     33360     117987     8.2     8.1   \n",
       "1        9959        2151         518     35975     122844     8.0     8.3   \n",
       "2        6714        2184         298     13478      53931     8.0     8.4   \n",
       "3       20118        3440         537     42062     163774     7.9     8.0   \n",
       "4        8862        2306         402     20287      65837     7.9     7.7   \n",
       "\n",
       "   VotesU18  VotesU18M  VotesU18F  Votes1829  Votes1829M  Votes1829F  \\\n",
       "0       8.9        9.0        8.7        8.4         8.4         8.2   \n",
       "1       8.4        8.3        8.7        8.2         8.1         8.4   \n",
       "2       8.3        8.2        8.7        8.1         8.0         8.4   \n",
       "3       8.6        8.6        8.4        8.2         8.2         8.1   \n",
       "4       8.5        8.5        8.1        8.0         8.1         7.8   \n",
       "\n",
       "   Votes3044  Votes3044M  Votes3044F  Votes45A  Votes45AM  Votes45AF  \\\n",
       "0        7.9         7.9         7.8       7.6        7.6        7.5   \n",
       "1        7.8         7.8         8.1       7.8        7.8        8.1   \n",
       "2        8.0         7.9         8.2       8.0        7.9        8.4   \n",
       "3        7.8         7.8         7.8       7.6        7.6        7.7   \n",
       "4        7.7         7.7         7.7       7.6        7.6        7.6   \n",
       "\n",
       "   Votes1000  VotesUS  VotesnUS content_rating    Country  \n",
       "0        7.1      8.3       8.1          PG-13        USA  \n",
       "1        7.6      8.0       8.0             PG        USA  \n",
       "2        7.1      8.1       8.0          PG-13  Australia  \n",
       "3        7.3      8.0       7.9          PG-13        USA  \n",
       "4        7.1      7.9       7.8              R        USA  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a47f198",
   "metadata": {},
   "source": [
    "- **Title**: Título do filme\n",
    "- **title_year**: ano do filme\n",
    "- **budget**: orçamento do filme em dólar\n",
    "- **Gross**: rendimento bruto do filme em dólar\n",
    "- **actor_1_name**: Nome do ator principal do filme\n",
    "- **actor_2_name**: Nome do segundo ator coadjuvante\n",
    "- **actor_3_name**: Nome do terceiro ator coadjuvante\n",
    "- **actor_1_facebook_likes**: Curtidas no facebook do ator principal do filme\n",
    "- **actor_2_facebook_likes**: Curtidas no facebook do segundo ator coadjuvante do filme\n",
    "- **actor_3_facebook_likes**: Curtidas no facebook do terceiro ator coadjuvante do filme\n",
    "- **IMDb_rating**: Notas do filme no IMDb\n",
    "- **genre_1**: Gênero principal do filme\n",
    "- **genre_2**: Gênero secundário do filme\n",
    "- **genre_3**: Gênero terciário do filme\n",
    "- **MetaCritic**: Avaliação média no Metacritic (website de críticas) em uma escala de 100\n",
    "- **Runtime**: Duração do filme em minutos\n",
    "- **CVotes10**: Número de pessoas que votaram 10/10 para o filme\n",
    "- **CVotes09**: Número de pessoas que votaram 9/10 para o filme\n",
    "- **CVotes08**: Número de pessoas que votaram 8/10 para o filme\n",
    "- **CVotes07**: Número de pessoas que votaram 7/10 para o filme\n",
    "- **CVotes06**: Número de pessoas que votaram 6/10 para o filme\n",
    "- **CVotes05**: Número de pessoas que votaram 5/10 para o filme\n",
    "- **CVotes04**: Número de pessoas que votaram 4/10 para o filme\n",
    "- **CVotes03**: Número de pessoas que votaram 3/10 para o filme\n",
    "- **Cvotes02**: Número de pessoas que votaram 2/10 para o filme\n",
    "- **CVotes01**: Número de pessoas que votaram 1/10 para o filme\n",
    "- **CVotesMale**: Número total de votos dos homens\n",
    "- **CVotesFemale**: Número total de votos das mulheres\n",
    "- **CVotesU18**: Número de votos do grupo com idade inferior a 18 anos\n",
    "- **CVotesU18M**: Número de votos dos homens do grupo com idade inferior a 18 anos\n",
    "- **CVotesU18F**: Número de votos das mulheres do grupo com idade inferior a 18 anos\n",
    "- **CVotes1829**: Número de votos do grupo com idade entre 18 e 29 anos\n",
    "- **CVotes1829M**: Número de votos dos homens do grupo com idade entre 18 e 29 anos\n",
    "- **CVotes1829F**: Número de votos das mulheres do grupo com idade entre 18 e 29 anos\n",
    "- **CVotes3044**: Números de votos do grupo com idade entre 30 a 44 anos\n",
    "- **CVotes3044M**: Números de votos dos homens do grupo com idade entre 30 a 44 anos\n",
    "- **CVotes3044F**: Números de votos das mulheres do grupo com idade entre 30 a 44 anos\n",
    "- **CVotes45A**: Número de votos do grupo com idade superior a 45 anos\n",
    "- **CVotes45AM**: Número de votos dos homens do grupo com idade superior a 45 anos\n",
    "- **CVotes45AF**: Número de votos das mulheres do grupo com idade superior a 45 anos\n",
    "- **CVotes1000**: Número de votos dos top 1000 votantes do IMDb\n",
    "- **CVotesUS**: Número de votos de americanos\n",
    "- **CVotesnUS**: Número de votos de não-americanos\n",
    "- **VotesM**: Avaliação média dada por homens\n",
    "- **VotesF**: Avaliação média dada por mulheres\n",
    "- **VotesU18**: Avaliação média dada pelo grupo com idade inferior a 18 anos\n",
    "- **VotesU18M**: Avaliação média dada pelos homens do grupo com idade inferior a 18 anos\n",
    "- **VotesU18F**: Avaliação média dada pelas mulheres do grupo com idade inferior a 18 anos\n",
    "- **Votes1829**: Avaliação média dada pelo grupo com idade entre 18 a 29 anos\n",
    "- **Votes1829M**: Avaliação média dada pelos homens do grupo com idade entre 18 a 29 anos\n",
    "- **Votes1829F**: Avaliação média dada pelas mulheres do grupo com idade entre 18 a 29 anos\n",
    "- **Votes3044**: Avaliação média dada pelo grupo com idade entre 30 a 44 anos\n",
    "- **Votes3044M**: Avaliação média dada pelos homens do grupo com idade entre 30 a 44 anos\n",
    "- **Votes3044F**: Avaliação média dada pelas mulheres do grupo com idade entre 30 a 44 anos\n",
    "- **Votes45A**: Avaliação média dada pelo grupo com idade superior a 45 anos\n",
    "- **Votes45AM**: Avaliação média dada pelos homens do grupo com idade superior a 45 anos\n",
    "- **Votes45AF**: Avaliação média dada pelas mulheres do grupo com idade superior a 45 anos\n",
    "- **Votes1000**: Avaliação média dada pelos top 1000 votantes do IMDb\n",
    "- **VotesUS**: Avaliação média dada pelos americanos\n",
    "- **VotesnUS**: Avaliação média dada pelos não-americanos\n",
    "- **content_rating**: Classificação do conteúdo do filme. Por exemplo: PG-13, classificação R, etc.\n",
    "- **Country**: País de origem do filme"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c69aa638",
   "metadata": {},
   "source": [
    "- Vamos inspecionar os dados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a48a4264",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100, 62)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "421096b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 100 entries, 0 to 99\n",
      "Data columns (total 62 columns):\n",
      " #   Column                  Non-Null Count  Dtype  \n",
      "---  ------                  --------------  -----  \n",
      " 0   Title                   100 non-null    object \n",
      " 1   title_year              100 non-null    int64  \n",
      " 2   budget                  100 non-null    int64  \n",
      " 3   Gross                   100 non-null    int64  \n",
      " 4   actor_1_name            100 non-null    object \n",
      " 5   actor_2_name            100 non-null    object \n",
      " 6   actor_3_name            100 non-null    object \n",
      " 7   actor_1_facebook_likes  100 non-null    int64  \n",
      " 8   actor_2_facebook_likes  99 non-null     float64\n",
      " 9   actor_3_facebook_likes  98 non-null     float64\n",
      " 10  IMDb_rating             100 non-null    float64\n",
      " 11  genre_1                 100 non-null    object \n",
      " 12  genre_2                 97 non-null     object \n",
      " 13  genre_3                 74 non-null     object \n",
      " 14  MetaCritic              95 non-null     float64\n",
      " 15  Runtime                 100 non-null    int64  \n",
      " 16  CVotes10                100 non-null    int64  \n",
      " 17  CVotes09                100 non-null    int64  \n",
      " 18  CVotes08                100 non-null    int64  \n",
      " 19  CVotes07                100 non-null    int64  \n",
      " 20  CVotes06                100 non-null    int64  \n",
      " 21  CVotes05                100 non-null    int64  \n",
      " 22  CVotes04                100 non-null    int64  \n",
      " 23  CVotes03                100 non-null    int64  \n",
      " 24  CVotes02                100 non-null    int64  \n",
      " 25  CVotes01                100 non-null    int64  \n",
      " 26  CVotesMale              100 non-null    int64  \n",
      " 27  CVotesFemale            100 non-null    int64  \n",
      " 28  CVotesU18               100 non-null    int64  \n",
      " 29  CVotesU18M              100 non-null    int64  \n",
      " 30  CVotesU18F              100 non-null    int64  \n",
      " 31  CVotes1829              100 non-null    int64  \n",
      " 32  CVotes1829M             100 non-null    int64  \n",
      " 33  CVotes1829F             100 non-null    int64  \n",
      " 34  CVotes3044              100 non-null    int64  \n",
      " 35  CVotes3044M             100 non-null    int64  \n",
      " 36  CVotes3044F             100 non-null    int64  \n",
      " 37  CVotes45A               100 non-null    int64  \n",
      " 38  CVotes45AM              100 non-null    int64  \n",
      " 39  CVotes45AF              100 non-null    int64  \n",
      " 40  CVotes1000              100 non-null    int64  \n",
      " 41  CVotesUS                100 non-null    int64  \n",
      " 42  CVotesnUS               100 non-null    int64  \n",
      " 43  VotesM                  100 non-null    float64\n",
      " 44  VotesF                  100 non-null    float64\n",
      " 45  VotesU18                100 non-null    float64\n",
      " 46  VotesU18M               100 non-null    float64\n",
      " 47  VotesU18F               100 non-null    float64\n",
      " 48  Votes1829               100 non-null    float64\n",
      " 49  Votes1829M              100 non-null    float64\n",
      " 50  Votes1829F              100 non-null    float64\n",
      " 51  Votes3044               100 non-null    float64\n",
      " 52  Votes3044M              100 non-null    float64\n",
      " 53  Votes3044F              100 non-null    float64\n",
      " 54  Votes45A                100 non-null    float64\n",
      " 55  Votes45AM               100 non-null    float64\n",
      " 56  Votes45AF               100 non-null    float64\n",
      " 57  Votes1000               100 non-null    float64\n",
      " 58  VotesUS                 100 non-null    float64\n",
      " 59  VotesnUS                100 non-null    float64\n",
      " 60  content_rating          100 non-null    object \n",
      " 61  Country                 100 non-null    object \n",
      "dtypes: float64(21), int64(32), object(9)\n",
      "memory usage: 48.6+ KB\n"
     ]
    }
   ],
   "source": [
    "movies.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8257e847",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Title</th>\n",
       "      <th>title_year</th>\n",
       "      <th>budget</th>\n",
       "      <th>Gross</th>\n",
       "      <th>actor_1_name</th>\n",
       "      <th>actor_2_name</th>\n",
       "      <th>actor_3_name</th>\n",
       "      <th>actor_1_facebook_likes</th>\n",
       "      <th>actor_2_facebook_likes</th>\n",
       "      <th>actor_3_facebook_likes</th>\n",
       "      <th>IMDb_rating</th>\n",
       "      <th>genre_1</th>\n",
       "      <th>genre_2</th>\n",
       "      <th>genre_3</th>\n",
       "      <th>MetaCritic</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>CVotes10</th>\n",
       "      <th>CVotes09</th>\n",
       "      <th>CVotes08</th>\n",
       "      <th>CVotes07</th>\n",
       "      <th>CVotes06</th>\n",
       "      <th>CVotes05</th>\n",
       "      <th>CVotes04</th>\n",
       "      <th>CVotes03</th>\n",
       "      <th>CVotes02</th>\n",
       "      <th>CVotes01</th>\n",
       "      <th>CVotesMale</th>\n",
       "      <th>CVotesFemale</th>\n",
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       "      <th>CVotesU18M</th>\n",
       "      <th>CVotesU18F</th>\n",
       "      <th>CVotes1829</th>\n",
       "      <th>CVotes1829M</th>\n",
       "      <th>CVotes1829F</th>\n",
       "      <th>CVotes3044</th>\n",
       "      <th>CVotes3044M</th>\n",
       "      <th>CVotes3044F</th>\n",
       "      <th>CVotes45A</th>\n",
       "      <th>CVotes45AM</th>\n",
       "      <th>CVotes45AF</th>\n",
       "      <th>CVotes1000</th>\n",
       "      <th>CVotesUS</th>\n",
       "      <th>CVotesnUS</th>\n",
       "      <th>VotesM</th>\n",
       "      <th>VotesF</th>\n",
       "      <th>VotesU18</th>\n",
       "      <th>VotesU18M</th>\n",
       "      <th>VotesU18F</th>\n",
       "      <th>Votes1829</th>\n",
       "      <th>Votes1829M</th>\n",
       "      <th>Votes1829F</th>\n",
       "      <th>Votes3044</th>\n",
       "      <th>Votes3044M</th>\n",
       "      <th>Votes3044F</th>\n",
       "      <th>Votes45A</th>\n",
       "      <th>Votes45AM</th>\n",
       "      <th>Votes45AF</th>\n",
       "      <th>Votes1000</th>\n",
       "      <th>VotesUS</th>\n",
       "      <th>VotesnUS</th>\n",
       "      <th>content_rating</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>count</th>\n",
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       "      <td>1.000000e+02</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100</td>\n",
       "      <td>97</td>\n",
       "      <td>74</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>1.000000e+02</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.00000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>75</td>\n",
       "      <td>94</td>\n",
       "      <td>96</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>19</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>La La Land</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Leonardo DiCaprio</td>\n",
       "      <td>Jeff Bridges</td>\n",
       "      <td>James Nesbitt</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Action</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27</td>\n",
       "      <td>35</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2012.820000</td>\n",
       "      <td>7.838400e+07</td>\n",
       "      <td>1.468679e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13407.270000</td>\n",
       "      <td>7377.303030</td>\n",
       "      <td>3002.153061</td>\n",
       "      <td>7.883000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78.252632</td>\n",
       "      <td>126.420000</td>\n",
       "      <td>73212.160000</td>\n",
       "      <td>92404.170000</td>\n",
       "      <td>125762.230000</td>\n",
       "      <td>76715.280000</td>\n",
       "      <td>27841.450000</td>\n",
       "      <td>10171.750000</td>\n",
       "      <td>4330.110000</td>\n",
       "      <td>2477.070000</td>\n",
       "      <td>1711.570000</td>\n",
       "      <td>4084.350000</td>\n",
       "      <td>2.714462e+05</td>\n",
       "      <td>64468.860000</td>\n",
       "      <td>1769.050000</td>\n",
       "      <td>1318.950000</td>\n",
       "      <td>435.660000</td>\n",
       "      <td>165863.770000</td>\n",
       "      <td>128473.140000</td>\n",
       "      <td>35739.710000</td>\n",
       "      <td>124561.100000</td>\n",
       "      <td>103437.920000</td>\n",
       "      <td>19371.540000</td>\n",
       "      <td>24170.160000</td>\n",
       "      <td>19653.260000</td>\n",
       "      <td>4093.530000</td>\n",
       "      <td>624.370000</td>\n",
       "      <td>54096.740000</td>\n",
       "      <td>188245.680000</td>\n",
       "      <td>7.852000</td>\n",
       "      <td>7.910000</td>\n",
       "      <td>8.205000</td>\n",
       "      <td>8.174000</td>\n",
       "      <td>8.215000</td>\n",
       "      <td>8.005000</td>\n",
       "      <td>8.005000</td>\n",
       "      <td>7.982000</td>\n",
       "      <td>7.732000</td>\n",
       "      <td>7.723000</td>\n",
       "      <td>7.780000</td>\n",
       "      <td>7.65100</td>\n",
       "      <td>7.624000</td>\n",
       "      <td>7.770000</td>\n",
       "      <td>7.274000</td>\n",
       "      <td>7.958000</td>\n",
       "      <td>7.793000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.919491</td>\n",
       "      <td>7.445295e+07</td>\n",
       "      <td>1.454004e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10649.037862</td>\n",
       "      <td>13471.568216</td>\n",
       "      <td>6940.301133</td>\n",
       "      <td>0.247433</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.122066</td>\n",
       "      <td>19.050799</td>\n",
       "      <td>82669.594746</td>\n",
       "      <td>75666.918775</td>\n",
       "      <td>62162.752481</td>\n",
       "      <td>32586.358624</td>\n",
       "      <td>12883.912563</td>\n",
       "      <td>5480.914204</td>\n",
       "      <td>2713.608902</td>\n",
       "      <td>1768.167506</td>\n",
       "      <td>1318.631164</td>\n",
       "      <td>3489.778403</td>\n",
       "      <td>1.676580e+05</td>\n",
       "      <td>39117.954828</td>\n",
       "      <td>1324.522818</td>\n",
       "      <td>1040.959361</td>\n",
       "      <td>366.499996</td>\n",
       "      <td>103522.932356</td>\n",
       "      <td>83188.725257</td>\n",
       "      <td>23092.041366</td>\n",
       "      <td>72089.245359</td>\n",
       "      <td>61116.374727</td>\n",
       "      <td>11324.680698</td>\n",
       "      <td>12841.696513</td>\n",
       "      <td>10669.041306</td>\n",
       "      <td>2187.955655</td>\n",
       "      <td>133.244262</td>\n",
       "      <td>32115.288162</td>\n",
       "      <td>106902.256347</td>\n",
       "      <td>0.263036</td>\n",
       "      <td>0.298312</td>\n",
       "      <td>0.305959</td>\n",
       "      <td>0.358059</td>\n",
       "      <td>0.381484</td>\n",
       "      <td>0.271686</td>\n",
       "      <td>0.281904</td>\n",
       "      <td>0.321417</td>\n",
       "      <td>0.251814</td>\n",
       "      <td>0.260479</td>\n",
       "      <td>0.282128</td>\n",
       "      <td>0.21485</td>\n",
       "      <td>0.213258</td>\n",
       "      <td>0.301344</td>\n",
       "      <td>0.361987</td>\n",
       "      <td>0.232327</td>\n",
       "      <td>0.264099</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>3.000000e+06</td>\n",
       "      <td>2.238380e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>91.000000</td>\n",
       "      <td>6420.000000</td>\n",
       "      <td>7321.000000</td>\n",
       "      <td>11668.000000</td>\n",
       "      <td>8558.000000</td>\n",
       "      <td>3370.000000</td>\n",
       "      <td>1162.000000</td>\n",
       "      <td>456.000000</td>\n",
       "      <td>227.000000</td>\n",
       "      <td>158.000000</td>\n",
       "      <td>293.000000</td>\n",
       "      <td>2.244100e+04</td>\n",
       "      <td>9552.000000</td>\n",
       "      <td>121.000000</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>15959.000000</td>\n",
       "      <td>10150.000000</td>\n",
       "      <td>4370.000000</td>\n",
       "      <td>12174.000000</td>\n",
       "      <td>9280.000000</td>\n",
       "      <td>2682.000000</td>\n",
       "      <td>1899.000000</td>\n",
       "      <td>1496.000000</td>\n",
       "      <td>355.000000</td>\n",
       "      <td>198.000000</td>\n",
       "      <td>3678.000000</td>\n",
       "      <td>19009.000000</td>\n",
       "      <td>7.400000</td>\n",
       "      <td>7.300000</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>7.400000</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>7.300000</td>\n",
       "      <td>7.300000</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>7.10000</td>\n",
       "      <td>7.100000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>7.300000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2011.000000</td>\n",
       "      <td>1.575000e+07</td>\n",
       "      <td>4.199752e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>580.000000</td>\n",
       "      <td>319.750000</td>\n",
       "      <td>7.700000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>114.750000</td>\n",
       "      <td>30587.000000</td>\n",
       "      <td>47098.250000</td>\n",
       "      <td>83207.500000</td>\n",
       "      <td>54934.500000</td>\n",
       "      <td>17834.500000</td>\n",
       "      <td>6026.000000</td>\n",
       "      <td>2293.500000</td>\n",
       "      <td>1172.750000</td>\n",
       "      <td>761.750000</td>\n",
       "      <td>1532.750000</td>\n",
       "      <td>1.719362e+05</td>\n",
       "      <td>35188.750000</td>\n",
       "      <td>756.250000</td>\n",
       "      <td>579.000000</td>\n",
       "      <td>159.750000</td>\n",
       "      <td>109797.750000</td>\n",
       "      <td>77537.750000</td>\n",
       "      <td>17637.750000</td>\n",
       "      <td>78866.250000</td>\n",
       "      <td>64930.250000</td>\n",
       "      <td>12030.500000</td>\n",
       "      <td>15288.750000</td>\n",
       "      <td>12154.750000</td>\n",
       "      <td>2492.750000</td>\n",
       "      <td>545.000000</td>\n",
       "      <td>33328.750000</td>\n",
       "      <td>121863.500000</td>\n",
       "      <td>7.675000</td>\n",
       "      <td>7.700000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.900000</td>\n",
       "      <td>7.975000</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>7.700000</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>7.50000</td>\n",
       "      <td>7.475000</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>7.100000</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2013.000000</td>\n",
       "      <td>4.225000e+07</td>\n",
       "      <td>1.070266e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>626.500000</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78.000000</td>\n",
       "      <td>124.000000</td>\n",
       "      <td>54900.500000</td>\n",
       "      <td>71376.000000</td>\n",
       "      <td>117405.500000</td>\n",
       "      <td>76862.000000</td>\n",
       "      <td>27072.000000</td>\n",
       "      <td>9123.000000</td>\n",
       "      <td>3801.000000</td>\n",
       "      <td>1950.000000</td>\n",
       "      <td>1320.000000</td>\n",
       "      <td>2933.000000</td>\n",
       "      <td>2.381995e+05</td>\n",
       "      <td>58539.500000</td>\n",
       "      <td>1420.000000</td>\n",
       "      <td>998.000000</td>\n",
       "      <td>325.500000</td>\n",
       "      <td>139321.500000</td>\n",
       "      <td>111362.000000</td>\n",
       "      <td>32639.500000</td>\n",
       "      <td>111317.500000</td>\n",
       "      <td>94010.500000</td>\n",
       "      <td>17763.000000</td>\n",
       "      <td>21869.500000</td>\n",
       "      <td>17782.000000</td>\n",
       "      <td>3771.500000</td>\n",
       "      <td>639.500000</td>\n",
       "      <td>48560.000000</td>\n",
       "      <td>169132.000000</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>7.900000</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>8.150000</td>\n",
       "      <td>8.300000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.700000</td>\n",
       "      <td>7.700000</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>7.65000</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>7.300000</td>\n",
       "      <td>7.950000</td>\n",
       "      <td>7.750000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2014.000000</td>\n",
       "      <td>1.500000e+08</td>\n",
       "      <td>2.107548e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20000.000000</td>\n",
       "      <td>11000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>8.100000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83.500000</td>\n",
       "      <td>136.250000</td>\n",
       "      <td>80639.000000</td>\n",
       "      <td>115240.250000</td>\n",
       "      <td>166742.500000</td>\n",
       "      <td>100789.000000</td>\n",
       "      <td>37561.750000</td>\n",
       "      <td>13008.500000</td>\n",
       "      <td>5571.000000</td>\n",
       "      <td>3309.500000</td>\n",
       "      <td>2334.500000</td>\n",
       "      <td>5296.000000</td>\n",
       "      <td>3.383265e+05</td>\n",
       "      <td>82355.000000</td>\n",
       "      <td>2478.750000</td>\n",
       "      <td>1790.750000</td>\n",
       "      <td>660.000000</td>\n",
       "      <td>212788.250000</td>\n",
       "      <td>160442.000000</td>\n",
       "      <td>47301.000000</td>\n",
       "      <td>158760.750000</td>\n",
       "      <td>135668.750000</td>\n",
       "      <td>24859.500000</td>\n",
       "      <td>30043.000000</td>\n",
       "      <td>24780.000000</td>\n",
       "      <td>5342.250000</td>\n",
       "      <td>727.000000</td>\n",
       "      <td>70167.000000</td>\n",
       "      <td>239628.250000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.100000</td>\n",
       "      <td>8.400000</td>\n",
       "      <td>8.400000</td>\n",
       "      <td>8.500000</td>\n",
       "      <td>8.125000</td>\n",
       "      <td>8.100000</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>7.900000</td>\n",
       "      <td>7.900000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.80000</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>7.925000</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>8.100000</td>\n",
       "      <td>7.925000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>2.600000e+08</td>\n",
       "      <td>9.366622e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35000.000000</td>\n",
       "      <td>96000.000000</td>\n",
       "      <td>46000.000000</td>\n",
       "      <td>8.800000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>180.000000</td>\n",
       "      <td>584839.000000</td>\n",
       "      <td>485218.000000</td>\n",
       "      <td>304457.000000</td>\n",
       "      <td>162604.000000</td>\n",
       "      <td>67579.000000</td>\n",
       "      <td>27957.000000</td>\n",
       "      <td>12286.000000</td>\n",
       "      <td>7868.000000</td>\n",
       "      <td>5751.000000</td>\n",
       "      <td>15768.000000</td>\n",
       "      <td>1.044318e+06</td>\n",
       "      <td>239796.000000</td>\n",
       "      <td>5735.000000</td>\n",
       "      <td>4596.000000</td>\n",
       "      <td>1910.000000</td>\n",
       "      <td>655187.000000</td>\n",
       "      <td>512411.000000</td>\n",
       "      <td>136770.000000</td>\n",
       "      <td>472680.000000</td>\n",
       "      <td>392845.000000</td>\n",
       "      <td>73555.000000</td>\n",
       "      <td>79634.000000</td>\n",
       "      <td>65508.000000</td>\n",
       "      <td>12795.000000</td>\n",
       "      <td>885.000000</td>\n",
       "      <td>212524.000000</td>\n",
       "      <td>707266.000000</td>\n",
       "      <td>8.800000</td>\n",
       "      <td>8.700000</td>\n",
       "      <td>9.100000</td>\n",
       "      <td>9.100000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>8.800000</td>\n",
       "      <td>8.700000</td>\n",
       "      <td>8.700000</td>\n",
       "      <td>8.500000</td>\n",
       "      <td>8.10000</td>\n",
       "      <td>8.100000</td>\n",
       "      <td>8.500000</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>8.700000</td>\n",
       "      <td>8.800000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Title   title_year        budget         Gross  \\\n",
       "count          100   100.000000  1.000000e+02  1.000000e+02   \n",
       "unique         100          NaN           NaN           NaN   \n",
       "top     La La Land          NaN           NaN           NaN   \n",
       "freq             1          NaN           NaN           NaN   \n",
       "mean           NaN  2012.820000  7.838400e+07  1.468679e+08   \n",
       "std            NaN     1.919491  7.445295e+07  1.454004e+08   \n",
       "min            NaN  2010.000000  3.000000e+06  2.238380e+05   \n",
       "25%            NaN  2011.000000  1.575000e+07  4.199752e+07   \n",
       "50%            NaN  2013.000000  4.225000e+07  1.070266e+08   \n",
       "75%            NaN  2014.000000  1.500000e+08  2.107548e+08   \n",
       "max            NaN  2016.000000  2.600000e+08  9.366622e+08   \n",
       "\n",
       "             actor_1_name  actor_2_name   actor_3_name  \\\n",
       "count                 100           100            100   \n",
       "unique                 75            94             96   \n",
       "top     Leonardo DiCaprio  Jeff Bridges  James Nesbitt   \n",
       "freq                    5             2              2   \n",
       "mean                  NaN           NaN            NaN   \n",
       "std                   NaN           NaN            NaN   \n",
       "min                   NaN           NaN            NaN   \n",
       "25%                   NaN           NaN            NaN   \n",
       "50%                   NaN           NaN            NaN   \n",
       "75%                   NaN           NaN            NaN   \n",
       "max                   NaN           NaN            NaN   \n",
       "\n",
       "        actor_1_facebook_likes  actor_2_facebook_likes  \\\n",
       "count               100.000000               99.000000   \n",
       "unique                     NaN                     NaN   \n",
       "top                        NaN                     NaN   \n",
       "freq                       NaN                     NaN   \n",
       "mean              13407.270000             7377.303030   \n",
       "std               10649.037862            13471.568216   \n",
       "min                  39.000000               12.000000   \n",
       "25%                1000.000000              580.000000   \n",
       "50%               13000.000000             1000.000000   \n",
       "75%               20000.000000            11000.000000   \n",
       "max               35000.000000            96000.000000   \n",
       "\n",
       "        actor_3_facebook_likes  IMDb_rating genre_1 genre_2 genre_3  \\\n",
       "count                98.000000   100.000000     100      97      74   \n",
       "unique                     NaN          NaN       8      19      15   \n",
       "top                        NaN          NaN  Action   Drama  Sci-Fi   \n",
       "freq                       NaN          NaN      27      35      15   \n",
       "mean               3002.153061     7.883000     NaN     NaN     NaN   \n",
       "std                6940.301133     0.247433     NaN     NaN     NaN   \n",
       "min                   0.000000     7.500000     NaN     NaN     NaN   \n",
       "25%                 319.750000     7.700000     NaN     NaN     NaN   \n",
       "50%                 626.500000     7.800000     NaN     NaN     NaN   \n",
       "75%                1000.000000     8.100000     NaN     NaN     NaN   \n",
       "max               46000.000000     8.800000     NaN     NaN     NaN   \n",
       "\n",
       "        MetaCritic     Runtime       CVotes10       CVotes09       CVotes08  \\\n",
       "count    95.000000  100.000000     100.000000     100.000000     100.000000   \n",
       "unique         NaN         NaN            NaN            NaN            NaN   \n",
       "top            NaN         NaN            NaN            NaN            NaN   \n",
       "freq           NaN         NaN            NaN            NaN            NaN   \n",
       "mean     78.252632  126.420000   73212.160000   92404.170000  125762.230000   \n",
       "std       9.122066   19.050799   82669.594746   75666.918775   62162.752481   \n",
       "min      62.000000   91.000000    6420.000000    7321.000000   11668.000000   \n",
       "25%      72.000000  114.750000   30587.000000   47098.250000   83207.500000   \n",
       "50%      78.000000  124.000000   54900.500000   71376.000000  117405.500000   \n",
       "75%      83.500000  136.250000   80639.000000  115240.250000  166742.500000   \n",
       "max     100.000000  180.000000  584839.000000  485218.000000  304457.000000   \n",
       "\n",
       "             CVotes07      CVotes06      CVotes05      CVotes04     CVotes03  \\\n",
       "count      100.000000    100.000000    100.000000    100.000000   100.000000   \n",
       "unique            NaN           NaN           NaN           NaN          NaN   \n",
       "top               NaN           NaN           NaN           NaN          NaN   \n",
       "freq              NaN           NaN           NaN           NaN          NaN   \n",
       "mean     76715.280000  27841.450000  10171.750000   4330.110000  2477.070000   \n",
       "std      32586.358624  12883.912563   5480.914204   2713.608902  1768.167506   \n",
       "min       8558.000000   3370.000000   1162.000000    456.000000   227.000000   \n",
       "25%      54934.500000  17834.500000   6026.000000   2293.500000  1172.750000   \n",
       "50%      76862.000000  27072.000000   9123.000000   3801.000000  1950.000000   \n",
       "75%     100789.000000  37561.750000  13008.500000   5571.000000  3309.500000   \n",
       "max     162604.000000  67579.000000  27957.000000  12286.000000  7868.000000   \n",
       "\n",
       "           CVotes02      CVotes01    CVotesMale   CVotesFemale    CVotesU18  \\\n",
       "count    100.000000    100.000000  1.000000e+02     100.000000   100.000000   \n",
       "unique          NaN           NaN           NaN            NaN          NaN   \n",
       "top             NaN           NaN           NaN            NaN          NaN   \n",
       "freq            NaN           NaN           NaN            NaN          NaN   \n",
       "mean    1711.570000   4084.350000  2.714462e+05   64468.860000  1769.050000   \n",
       "std     1318.631164   3489.778403  1.676580e+05   39117.954828  1324.522818   \n",
       "min      158.000000    293.000000  2.244100e+04    9552.000000   121.000000   \n",
       "25%      761.750000   1532.750000  1.719362e+05   35188.750000   756.250000   \n",
       "50%     1320.000000   2933.000000  2.381995e+05   58539.500000  1420.000000   \n",
       "75%     2334.500000   5296.000000  3.383265e+05   82355.000000  2478.750000   \n",
       "max     5751.000000  15768.000000  1.044318e+06  239796.000000  5735.000000   \n",
       "\n",
       "         CVotesU18M   CVotesU18F     CVotes1829    CVotes1829M    CVotes1829F  \\\n",
       "count    100.000000   100.000000     100.000000     100.000000     100.000000   \n",
       "unique          NaN          NaN            NaN            NaN            NaN   \n",
       "top             NaN          NaN            NaN            NaN            NaN   \n",
       "freq            NaN          NaN            NaN            NaN            NaN   \n",
       "mean    1318.950000   435.660000  165863.770000  128473.140000   35739.710000   \n",
       "std     1040.959361   366.499996  103522.932356   83188.725257   23092.041366   \n",
       "min       95.000000    20.000000   15959.000000   10150.000000    4370.000000   \n",
       "25%      579.000000   159.750000  109797.750000   77537.750000   17637.750000   \n",
       "50%      998.000000   325.500000  139321.500000  111362.000000   32639.500000   \n",
       "75%     1790.750000   660.000000  212788.250000  160442.000000   47301.000000   \n",
       "max     4596.000000  1910.000000  655187.000000  512411.000000  136770.000000   \n",
       "\n",
       "           CVotes3044    CVotes3044M   CVotes3044F     CVotes45A  \\\n",
       "count      100.000000     100.000000    100.000000    100.000000   \n",
       "unique            NaN            NaN           NaN           NaN   \n",
       "top               NaN            NaN           NaN           NaN   \n",
       "freq              NaN            NaN           NaN           NaN   \n",
       "mean    124561.100000  103437.920000  19371.540000  24170.160000   \n",
       "std      72089.245359   61116.374727  11324.680698  12841.696513   \n",
       "min      12174.000000    9280.000000   2682.000000   1899.000000   \n",
       "25%      78866.250000   64930.250000  12030.500000  15288.750000   \n",
       "50%     111317.500000   94010.500000  17763.000000  21869.500000   \n",
       "75%     158760.750000  135668.750000  24859.500000  30043.000000   \n",
       "max     472680.000000  392845.000000  73555.000000  79634.000000   \n",
       "\n",
       "          CVotes45AM    CVotes45AF  CVotes1000       CVotesUS      CVotesnUS  \\\n",
       "count     100.000000    100.000000  100.000000     100.000000     100.000000   \n",
       "unique           NaN           NaN         NaN            NaN            NaN   \n",
       "top              NaN           NaN         NaN            NaN            NaN   \n",
       "freq             NaN           NaN         NaN            NaN            NaN   \n",
       "mean    19653.260000   4093.530000  624.370000   54096.740000  188245.680000   \n",
       "std     10669.041306   2187.955655  133.244262   32115.288162  106902.256347   \n",
       "min      1496.000000    355.000000  198.000000    3678.000000   19009.000000   \n",
       "25%     12154.750000   2492.750000  545.000000   33328.750000  121863.500000   \n",
       "50%     17782.000000   3771.500000  639.500000   48560.000000  169132.000000   \n",
       "75%     24780.000000   5342.250000  727.000000   70167.000000  239628.250000   \n",
       "max     65508.000000  12795.000000  885.000000  212524.000000  707266.000000   \n",
       "\n",
       "            VotesM      VotesF    VotesU18   VotesU18M   VotesU18F  \\\n",
       "count   100.000000  100.000000  100.000000  100.000000  100.000000   \n",
       "unique         NaN         NaN         NaN         NaN         NaN   \n",
       "top            NaN         NaN         NaN         NaN         NaN   \n",
       "freq           NaN         NaN         NaN         NaN         NaN   \n",
       "mean      7.852000    7.910000    8.205000    8.174000    8.215000   \n",
       "std       0.263036    0.298312    0.305959    0.358059    0.381484   \n",
       "min       7.400000    7.300000    7.500000    7.400000    7.200000   \n",
       "25%       7.675000    7.700000    8.000000    7.900000    7.975000   \n",
       "50%       7.800000    7.900000    8.200000    8.150000    8.300000   \n",
       "75%       8.000000    8.100000    8.400000    8.400000    8.500000   \n",
       "max       8.800000    8.700000    9.100000    9.100000    9.000000   \n",
       "\n",
       "         Votes1829  Votes1829M  Votes1829F   Votes3044  Votes3044M  \\\n",
       "count   100.000000  100.000000  100.000000  100.000000  100.000000   \n",
       "unique         NaN         NaN         NaN         NaN         NaN   \n",
       "top            NaN         NaN         NaN         NaN         NaN   \n",
       "freq           NaN         NaN         NaN         NaN         NaN   \n",
       "mean      8.005000    8.005000    7.982000    7.732000    7.723000   \n",
       "std       0.271686    0.281904    0.321417    0.251814    0.260479   \n",
       "min       7.600000    7.600000    7.300000    7.300000    7.200000   \n",
       "25%       7.800000    7.800000    7.700000    7.600000    7.500000   \n",
       "50%       8.000000    8.000000    8.000000    7.700000    7.700000   \n",
       "75%       8.125000    8.100000    8.200000    7.900000    7.900000   \n",
       "max       9.000000    9.000000    8.800000    8.700000    8.700000   \n",
       "\n",
       "        Votes3044F   Votes45A   Votes45AM   Votes45AF   Votes1000     VotesUS  \\\n",
       "count   100.000000  100.00000  100.000000  100.000000  100.000000  100.000000   \n",
       "unique         NaN        NaN         NaN         NaN         NaN         NaN   \n",
       "top            NaN        NaN         NaN         NaN         NaN         NaN   \n",
       "freq           NaN        NaN         NaN         NaN         NaN         NaN   \n",
       "mean      7.780000    7.65100    7.624000    7.770000    7.274000    7.958000   \n",
       "std       0.282128    0.21485    0.213258    0.301344    0.361987    0.232327   \n",
       "min       7.200000    7.10000    7.100000    7.000000    6.400000    7.500000   \n",
       "25%       7.600000    7.50000    7.475000    7.500000    7.100000    7.800000   \n",
       "50%       7.800000    7.65000    7.600000    7.800000    7.300000    7.950000   \n",
       "75%       8.000000    7.80000    7.800000    7.925000    7.500000    8.100000   \n",
       "max       8.500000    8.10000    8.100000    8.500000    8.200000    8.700000   \n",
       "\n",
       "          VotesnUS content_rating Country  \n",
       "count   100.000000            100     100  \n",
       "unique         NaN              4       6  \n",
       "top            NaN          PG-13     USA  \n",
       "freq           NaN             45      81  \n",
       "mean      7.793000            NaN     NaN  \n",
       "std       0.264099            NaN     NaN  \n",
       "min       7.300000            NaN     NaN  \n",
       "25%       7.600000            NaN     NaN  \n",
       "50%       7.750000            NaN     NaN  \n",
       "75%       7.925000            NaN     NaN  \n",
       "max       8.800000            NaN     NaN  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.describe(include='all')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25da672b",
   "metadata": {},
   "source": [
    "### Quais são os que filmes mais deram lucro?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2ba64d3",
   "metadata": {},
   "source": [
    "- Para responder essa pergunta nós vamos analisar\n",
    "    - os atributos do filme\n",
    "    - o orçamento do filme\n",
    "    - o lucro de cada filme"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ea1e1e5",
   "metadata": {},
   "source": [
    "- Os números de orçamento (*budget*) e rendimento (*lucro*) são muito grande.\n",
    "- Para melhorar a leitura, vamos converter a unidade do orçamento e rendimento para milhão."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8223b2c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies['Gross']=movies['Gross'].floordiv(1000000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "35ad0e81",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies['budget']=movies['budget'].floordiv(1000000)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2bd2762b",
   "metadata": {},
   "source": [
    "- Vamos criar uma nova coluna chamada *Profit* (lucro) para armazenar a diferença entre as colunas de rendimento e orçamento."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9e67cffc",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies.insert(4, column='Profit', value=movies['Gross']-movies['budget'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3423648",
   "metadata": {},
   "source": [
    "- Agora vamos ordenar o *dataframe* usando a coluna lucro como referência para identificar os 10 filmes que mais deram lucro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e5cb412b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Star Wars: Episode VII - The Force Awakens\n",
       "1                                  The Avengers\n",
       "2                                      Deadpool\n",
       "3               The Hunger Games: Catching Fire\n",
       "4                                   Toy Story 3\n",
       "5                         The Dark Knight Rises\n",
       "6                                The Lego Movie\n",
       "7                                      Zootopia\n",
       "8                                 Despicable Me\n",
       "9                                    Inside Out\n",
       "Name: Title, dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.sort_values(by=['Profit'], ascending=False, inplace=True, ignore_index=True)\n",
    "\n",
    "top_10=movies.loc[0:9, 'Title']\n",
    "top_10"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84cc7dca",
   "metadata": {},
   "source": [
    "### Há alguma correlação entre o valores do custo e do lucro?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc4bb369",
   "metadata": {},
   "source": [
    "- Vamos plotar um scatter para correlacionar as colunas de orçamento e lucro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0bdc6ca4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 576x432 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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YbkREJDsMNyIikh2GGxERyQ7DzYLS0lKxi+A0rJt7kmvd5FovQN51cwcMNwuuX78udhGchnVzT3Ktm1zrBci7bu6A4WYDQ7NJ7CKYSaksRERS5SV2AdyBt5cSd+edFLsYAIBXcpLFLgIRkeSx5UZERLLDcCMiItlhuBERkeww3IiISHYYbkREJDsMNyIikh2GGxERyQ7DjYiIZIfhRkREssNwIyIi2WG4ERGR7DDciIhIdhhuREQkOww3IiKSHYYbERHJDsONiIhkh+FGRESyw3AjIiLZYbgREZHsMNyIiEh2GG5ERCQ7DDciIpIdhhsREckOw42IiGSH4UZERLLDcCMiItlhuBERkeww3IiISHYYbm7G0Gzq0fYxMTEOKknPy0JE5CxeYheA7OPtpcTdeSe7vX1DQwP8/PwcUpZXcpIdsh8iIkdjy42IiGSH4UYkc1LqPpZSWUje2C1JJHM97cp2JHZlk6uw5UZERLLDcCMiItlhuBERkeww3IiISHYYbkREJDsMNyIHc8Zwd0fOLEPkCfgoAHWbodkEby9pXB9J6fkpZwy978nMMhx+T56I4UbdJqXnp/5+7yi2btxA+wsiMY+ZlC7OyPEYbiQL3l5K/OrZAofNm9kTbClZ1/6CyJFzndrr7/eOcur+7QluBq3jMdyIyCM5u+fBnuDmBZHj8VKBiIhkh+FGRESyoxAEQRC7EK5y9uxZNDc3i10MIiKH8PLyQlRUlNjFkCSPCjciIvIM7JYkIiLZYbgREZHsMNyIiEh2GG5ERCQ7DDciIpIdhhsREckOw42IiGSH4UZERLLjUeF29uxZm9YrLS11bkFExLq5J7nWTa71AqRXN1vPf3LhUeFm69Rb169fd3JJxMO6uSe51k2u9QKkVzdPm3rQo8KNiIg8A8ONiIhkh+FGRESyw3AjIiLZYbgREZHsSCLczp8/j+nTp5v/3XHHHXjppZdQU1OD7OxspKenIzs7G7W1teZtdu7cibS0NEyaNAmFhYUilp6IiKRGEuEWGRmJQ4cO4dChQzhw4AB69+6NtLQ05OXlITk5GUePHkVycjLy8vIAACUlJdBqtdBqtdi1axc2btwIo9Eoci2IiEgqJBFurZ08eRLh4eEICwtDQUEBsrKyAABZWVk4duwYAKCgoACZmZnw9vZGeHg4IiIiUFRUJGKpiYhISrzELkB7Wq0WU6dOBQBUVlZCrVYDANRqNaqqqgAAOp0OiYmJ5m1CQkKg0+m63HdjYyOKi4u7XE+v19u0njti3dyTXOvm7vVSqlSoV/qjusGIID8V/Ez1MP1fL5Ir6hYTE2Pzurae/9xJZ/WXVLgZDAYcP34cK1eu7HQ9QRA6LFMoFF3u38fHx6YPQ3FxsV0fGnfCurknudbNnetlMgk48nU5Vvzrc+ibTPDtpcTWucMwOVYDpVIhubrZev6TC0l1S544cQKxsbEYMGAAACA4OBgVFRUAgIqKCgQFBQEANBoNysvLzdvpdDpzC4+IyBVKK+vNwQYA+iYTVvzrc5RW1otcMgIkFm5arRaZmZnmr1NSUpCfnw8AyM/PR2pqqnm5VquFwWBAWVkZSktLkZCQIEaRichD6a7qzcHWQt9kQsU1vUgl6pwgCDA0m7peUSYkE27Xr1/HBx98gPT0dPOynJwcvP/++0hPT8f777+PnJwcAEBUVBSmTJmCjIwMLFy4EBs2bIBKpRKr6ETkgUL6+cK3V9tTqG8vJdR9fUUqUecUCgW8vSRzync6ydxz6927N06dOtVmWWBgIHbv3m1x/dzcXOTm5rqiaEREHQwJ9sfWucM63HMbEuwvdtEIEgo3IiJ3olQqMDlWg6FLx6Himh7qvr4YEuwPpbLrwW3kfAw3IqJuUioViBzYB5ED+4hdFGrHczpgiYjIYzDciIhIdhhuREQkOww3IiKSHYYbERHJDsONiIhkh+FGRESyw3AjIiLZYbgREXkATpxMRESy42kTJ3tOTYmIyGMw3IiISHYYbkREJDsMNyIikh2GGxERyQ7DjYiIZIfhRkREssNwIyIi2WG4ERGR7DDciIhIdhhuREQkOww3IiKSHcmE29WrV7F06VJMnjwZU6ZMwWeffYaamhpkZ2cjPT0d2dnZqK2tNa+/c+dOpKWlYdKkSSgsLBSx5EREJDWSCbcnnngC48aNw5EjR3Do0CHccsstyMvLQ3JyMo4ePYrk5GTk5eUBAEpKSqDVaqHVarFr1y5s3LgRRqNR5BoQEZFUSCLc6urq8PHHH2P27NkAAG9vb/Tr1w8FBQXIysoCAGRlZeHYsWMAgIKCAmRmZsLb2xvh4eGIiIhAUVGRWMUnIiKJkUS4lZWVISgoCGvXrkVWVhbWr1+PhoYGVFZWQq1WAwDUajWqqqoAADqdDhqNxrx9SEgIdDqdKGUnIiLp8RK7AADQ3NyMb775Bo8++igSExPx+OOPm7sgLREEocMyhULR5c9pbGxEcXFxl+vp9Xqb1nNHrJt7kmvd5FovwDV1i4mJsWt9uf2uO6u/JMJNo9FAo9EgMTERADB58mTk5eUhODgYFRUVUKvVqKioQFBQkHn98vJy8/Y6nc7cwuuMj4+PTR+G4uJiuz807oJ1c09yrZtc6wVIs25SK48zSaJbcuDAgdBoNDh//jwA4OTJk7jllluQkpKC/Px8AEB+fj5SU1MBACkpKdBqtTAYDCgrK0NpaSkSEhLEKj4REUmMJFpuAPDoo49i1apVaGpqQnh4OP7whz/AZDJh2bJl2L9/P0JDQ7Ft2zYAQFRUFKZMmYKMjAyoVCps2LABKpVK5BoQEZFUSCbcYmJicODAgQ7Ld+/ebXH93Nxc5ObmOrtYRETkhiTRLUlERORIDDciIpIdhhsREckOw42IiGSH4UZERLLDcCMiItlhuBERkeww3IiISHYYbkREJDsMNyIikh2GGxERyQ7DjYiIZIfhRkREssNwIyIi2WG4ERGR7DDciIhIdhhuREQkOww3IiKSHYYbERHJDsONiIhkh+FGRESyw3AjIiLZYbgREZHsMNyIiEh2GG5ERCQ7XmIXoEVKSgr8/f2hVCqhUqlw4MAB1NTUYPny5bh48SLCwsLw7LPPIiAgAACwc+dO7N+/H0qlEo888gjGjRsncg2IiEgqJNVy2717Nw4dOoQDBw4AAPLy8pCcnIyjR48iOTkZeXl5AICSkhJotVpotVrs2rULGzduhNFoFLPoREQkIZIKt/YKCgqQlZUFAMjKysKxY8fMyzMzM+Ht7Y3w8HBERESgqKhIxJISEZGUSKZbEgAWLFgAhUKBu+66C3fddRcqKyuhVqsBAGq1GlVVVQAAnU6HxMRE83YhISHQ6XRd7r+xsRHFxcVdrqfX621azx2xbu5JrnWTa70A19QtJibGrvXl9rvurP6SCbe9e/ciJCQElZWVyM7ORmRkpNV1BUHosEyhUHT5M3x8fGz6MBQXF9v9oXEXrJt7kmvd5FovQJp1k1p5nEky3ZIhISEAgODgYKSlpaGoqAjBwcGoqKgAAFRUVCAoKAgAoNFoUF5ebt5Wp9OZW3hERESSCLeGhgbU1dWZ///+++8jKioKKSkpyM/PBwDk5+cjNTUVwI2RlVqtFgaDAWVlZSgtLUVCQoJYxSciIomRRLdkZWUlFi9eDAAwGo2YOnUqxo8fj/j4eCxbtgz79+9HaGgotm3bBgCIiorClClTkJGRAZVKhQ0bNkClUolZBSIikhBJhFt4eDhee+21DssDAwOxe/dui9vk5uYiNzfX2UUjIiI3JIluSSIiIkdiuBERkeww3IiISHYYbkREJDsMNyIikh2GGxERyQ7DjYiIZIfhRkREssNwIyIi2WG4ERGR7DDciIhIdhhuREQkOww3IiKSHYYbERHJDsONiIhkh+FGRESyw3AjIiLZYbgREXkAQQAMzSaxi+EyDDciIg+gUADeXp5zyvecmhIRkcdguBERkeww3IiISHYYbkREJDteYheAiMhRTCYBpZX10F3VI6SfL4YE+0OpVIhdLBKBpFpuRqMRWVlZuP/++wEANTU1yM7ORnp6OrKzs1FbW2ted+fOnUhLS8OkSZNQWFgoVpGJSCJMJgFHvi5HxvZCzHvuFDK2F+LI1+UwmQSxi0YikFS4/f3vf8ctt9xi/jovLw/Jyck4evQokpOTkZeXBwAoKSmBVquFVqvFrl27sHHjRhiNRrGKTUQSUFpZjxX/+hz6phvPcumbTFjxr89RWlkvcslIDJIJt/Lycrz77ruYPXu2eVlBQQGysrIAAFlZWTh27Jh5eWZmJry9vREeHo6IiAgUFRWJUWwikgjdVb052From0youKYXqUQkJsncc3vyySexevVq1Nf/fJVVWVkJtVoNAFCr1aiqqgIA6HQ6JCYmmtcLCQmBTqfr8mc0NjaiuLi4y/X0er1N67kj1s09ybVujqyXb69+8O2lbBNwvr2U8DbZ9nfvaK44ZjExMXZvI6fPUWf1l0S4vfPOOwgKCkJcXBxOnTrV5fqC0LEPXaHo+qaxj4+PTR+G4uLibn1o3AHr5p7kWjdH1stkErB1rtLcNenbS4mtc4dhWKQGSmWYQ36GPaR6zKRYJmeQRLh9+umnOH78OE6cOIHGxkbU1dVh1apVCA4ORkVFBdRqNSoqKhAUFAQA0Gg0KC8vN2+v0+nMLTwi8kxKpQKTYzUYunQcKq7poe7L0ZKeTBL33FauXIkTJ07g+PHj2Lp1K0aPHo2nn34aKSkpyM/PBwDk5+cjNTUVAJCSkgKtVguDwYCysjKUlpYiISFBxBoQkRQolQpEDuyD0ZEDEDmwD4OtFUEQPGriZEm03KzJycnBsmXLsH//foSGhmLbtm0AgKioKEyZMgUZGRlQqVTYsGEDVCqVyKUlIpIuhULhURMnSy7cRo0ahVGjRgEAAgMDsXv3bovr5ebmIjc315VFIyIiN+E5MU5ERB6D4UZERLLDcCMiItlhuBERkeww3IiISHYYbkREJDsMNyIikh2GGxERyQ7DjYiIZIfhRkREssNwIyIi2WG4ERGR7DDciIhIdhhuREQkOww3IiKSHYYbERHJjl0vK3311Vdx6NAh6HQ6hISEYPr06Zg1a5azykZERNQtNofbX//6V+Tn5+Pee+/FTTfdhJ9++gm7du1CRUUF34hNRESSYnO4/fvf/8aePXsQFhZmXjZ27Fjcc889DDciIpIUm++5Xb9+HUFBQW2W9e/fH3q93uGFIiIi6gmbw23cuHFYtWoVzp8/D71ej3PnzmHNmjUYO3asM8tHRERkN5vDbcOGDfD398f06dORlJSErKws9O7dG48++qgzy0dERGQ3m+65GY1GPP/889i8eTO2bNmC6upqBAYGQqnkkwRyYjIJKK2sh+6qHiH9fDEk2B9KpULsYhGRAwjCz/83NJvg7SXv87dNtVOpVPjnP/+JXr16QalUIjg4mMEmMyaTgCNflyNjeyHmPXcKGdsLceTrcphMQtcbE5HkKRTA3XkncXfeSdkHG2BHt2RWVhb27t3rlEI0NjZi9uzZ+NWvfoXMzExs374dAFBTU4Ps7Gykp6cjOzsbtbW15m127tyJtLQ0TJo0CYWFhU4plycprazHin99Dn2TCQCgbzJhxb8+R2llvcglIyKyn82PAhQVFeEf//gHnn/+eWg0GigUP3dXvfzyyz0qhLe3N3bv3g1/f380NTXh17/+NcaPH4+jR48iOTkZOTk5yMvLQ15eHlavXo2SkhJotVpotVrodDpkZ2fjrbfegkql6lE5PJnuqt4cbC30TSZUXNMjcmAfkUpFRNQ9Nofb3LlzMXfuXKcUQqFQwN/fHwDQ3NyM5uZmKBQKFBQUYM+ePQButBznz5+P1atXo6CgAJmZmfD29kZ4eDgiIiJQVFSEpKQkp5TPE4T084VvL2WbgPPtpYS6r6+IpXIfvF9JJC02h9uMGTOcWQ4YjUbMnDkTP/74I379618jMTERlZWVUKvVAAC1Wo2qqioAgE6nQ2JionnbkJAQ6HS6Ln9GY2MjiouLu1xPr9fbtJ47slY3pUqFLVm3Y03+N9A3meDbS4ktWbejqfonFF8xilBS+4l13JQqFYqv+XT43cX0bYTJ6JjfnVw/k3KtF+CausXExNi1fkNDg/n/cvi9d1Z/m8Pt8ccfR0ZGBu644w7zsk8//RRvvvkm1q9f37MS4saglUOHDuHq1atYvHgxvvvuO6vrCkLHQQ6tu0mt8fHxsenDUFxcbPeHxl10Vrcok4CEwcGouKaHuq/7tT7EOm7nL9dhzZ7CNvcr1+R/gzeWjnNYl65cP5NyrRcgzbr5+fmZ/y+1sjmazQNKDh8+jLi4uDbL4uLicPjwYYcWqF+/fhg1ahQKCwsRHByMiooKAEBFRYV5hhSNRoPy8nLzNjqdztzCo+5TKhWIHNgHoyMHIHJgH7cKNjF1dr+SiMRhc7gpFIoOLSaj0QiTyWRlC9tVVVXh6tWrAG405T/44ANERkYiJSUF+fn5AID8/HykpqYCAFJSUqDVamEwGFBWVobS0lIkJCT0uBxE3dFyv7I13q8kEpfN3ZLDhw/Hs88+i9WrV0OpVMJkMmHHjh0YPnx4jwtRUVGBNWvWwGg0QhAETJ48GRMnTsSwYcOwbNky7N+/H6Ghodi2bRsAICoqClOmTEFGRgZUKhU2bNjAkZIkmiHB/tg6d5j5UQrfXkpsnTsMQ4L9xS4akceyOdzWr1+P+++/H2PHjsVNN92ES5cuYeDAgfjb3/7W40IMHTrU3EJrLTAwELt377a4TW5uLt9GQJKgVCowOVaDoUvHue39SiK5sTncNBoNDh48iC+++ALl5eUIDQ1FQkICZyohws/3K/lMIJE02PUmbqVSyWfJiIjckCAIeCUnGYBnzC1pc7hNmDDB6nD7d99911HlISIiJ2h9/pZ7sAF2hNuf/vSnNl9fvnwZf//735GRkeHwQhEREfWEzeE2cuRIi8sWLlyI3/72tw4tFBERUU/0qG3q7e2NCxcuOKosREREDmFzy63lGbMWer0e7733HiZMmODwQhEREfWEzeHWerorAOjduzeys7Px/fffO7xQREREPWFzuP3hD3/osMxgMCAxMRH//d//7dBCERER9USPx4NamqGfiIhITD0ON1teNUNERORKXXZLnjx50ur3mpqaHFoYIiIiR+gy3Lp6EWloaKjDCkNEROQIXYbb8ePHXVEOIiIih5H/BGNERARBuDFhsqdguBEReQCFwjMmTG7hOTUlIiKPwXAjIiLZYbgREZHsMNyIiEh2GG5E5HImk4Dzl+vwU5M/zl+ug8nEafzIsWyeOJmIyBFMJgFHvi7Hin99Dn2TCb69lNg6dxgmx2qgVHI6P3IMttyIyKVKK+vNwQYA+iYTVvzrc5RW1otcMpIThhsRuZTuqt4cbC30TSZUXNOLVCKSI0mE26VLlzB//nxMmTIFmZmZ2L17NwCgpqYG2dnZSE9PR3Z2Nmpra83b7Ny5E2lpaZg0aRIKCwvFKjoR2Smkny98e7U99fj2UkLd11ekEpEcSSLcVCoV1qxZgzfffBP79u3DP//5T5SUlCAvLw/Jyck4evQokpOTkZeXBwAoKSmBVquFVqvFrl27sHHjRhiNRpFrIR8tN/tPnrvCm/3kcEOC/bF17jBzwLXccxsS7C9yyRyDg2WkQRIDStRqNdRqNQCgT58+iIyMhE6nQ0FBAfbs2QMAyMrKwvz587F69WoUFBQgMzMT3t7eCA8PR0REBIqKipCUlCRmNWSBN/vJ2ZRKBSbHajB06Th8X16FmzVBGBLsL4vPl5T/fgRBgKHZZHUKrs6+544kEW6tXbhwAcXFxUhMTERlZaU59NRqNaqqqgAAOp0OiYmJ5m1CQkKg0+m63HdjYyOKi4u7XE+v19u0njvqqm7Xe/XDin8VdbjZr/ltAno3XXVVMbtFjsdNqVKhXumPysbe0JdchJ+pHiYZ9VIENevReKUe314RuySO4eq/n5iYGJvXVSgUmP2Xd6x+/7VlqW7399NZ/SUVbvX19Vi6dCnWrVuHPn36WF1PEDo28215I7iPj49NH4bi4mK7PjTupKu6nTx3xeLNfoPSB3dI/Hcit+Mm5VaAo8jtmEn978fPz6/T78vpWEimDdrU1ISlS5di2rRpSE9PBwAEBwejoqICAFBRUYGgoCAAgEajQXl5uXlbnU5nbuFRz/Bmv3RwyLz74d+PdEgi3ARBwPr16xEZGYns7Gzz8pSUFOTn5wMA8vPzkZqaal6u1WphMBhQVlaG0tJSJCQkiFF02bHnZj8HnjgXh8y7H7kPlnEnkuiW/OSTT3Do0CFER0dj+vTpAIAVK1YgJycHy5Ytw/79+xEaGopt27YBAKKiojBlyhRkZGRApVJhw4YNUKlUYlZBNlrf7K+4poe6r6/Fm/2e0GUmtpZWQOuAc2YrwGQSUFpZD91VPUL6WT7u1Dk5D5ZxN5IIt+HDh+Pbb7+1+L2WZ97ay83NRW5urjOL5bGUSgUiB/ZB5EDr9z2tdZkNXTqu0+3Idi2tgPYXEM5oBfBixXFa/n4ar5QhcuBgsYvjsSQRbuR+Ousyc3W4tbQ4fmryh8/lOtlcKbuyFcCLFZIbhht1i6u7zKyRe4vDVa0AKV2sEDmCJAaUkPuRyo1zjih0DI7yI7lhy426xdaBJ87GFkf3tB88MjjQz2X394hcgeFG3WbLwBNnk0r3qDux1pWbHhOCN0S+WCFyFHZLkluTSveoO7HWlftjdQMiB/bB6MgBiBzYh8HWTZw4WRrYciO3xueK7MeuXOeR8gAnQRDwSk6y1e+3TJwslwmUGW7k9vhckX3Yles8Un6kQqFQ4O68k12u11kAuhP3j2cisgu7cp2HU6ZJB1tuRBLmjAfUpTLSVY7YKpYOhpuIOJcfdcaZ92+kMNJVjlw5ZRp1juEmEinfeCZpkPL9G7KMA5ykg/fcRMKZNagrvH/jnlpaxTd51fORChGx5SaS9ieu0ABfzLxjEL7TXQOATq/22J3pGXj/hqj7GG4iaX3iCg3wxfzREdh+/GyXXZTszvQc9t6/4UUP0c/YLSmS1sOxZ94xyBxsQOddlOzO9Bwt92/eWDoOz/8mHm8sHWf1IqbloidjeyHmPXcKGdsLceTrcs6OQR6L4SaS1ieu+LB+Nt9b4X0Yz2Lr/Rte9BC1xW5JB7Ona6jlxAWgTRflzDsGQaUEevfygskktNme92HIEmdNqcWuTnJXDDcH6u79sJYuyqeOFOOu4YPNXZR5J8532J7P0XSP3E/Szrjo4f1deelqbskW7eeWdNe5JhluDtTd55JauijD+vvirrwPO92es0vYzxNO0s646OFzdvJi69yS7bnrXJMMNwdoaRV8p7uGheMi8eonF3Cp9sY9MFu7hpRKBRoMRpu6lji7hH084STtjIsevj2A3BnDrYcstQqWpkRhz4c/4FKt3tw1ZEu3GO+nOYennKQdfdHDzyO5M/frSJUYS62C7cfPYuYdg8xdQ4MD/Wwapi2l2dpbXrh48twVt3/hYstJujWepLsmpc8jkb3Ycusha62ChLB+eGPpOAwJ9re5W0wq99Pkdo+Kg3C6x5mfR2e87YCoNcmE29q1a/Huu+8iODgYhw8fBgDU1NRg+fLluHjxIsLCwvDss88iICAAALBz507s378fSqUSjzzyCMaNGydKua113USF9DUHlz3dYlK4nya3e1RSuWhwR874PMrt4omkSTLdkjNnzsSuXbvaLMvLy0NycjKOHj2K5ORk5OXlAQBKSkqg1Wqh1Wqxa9cubNy4EUajUYxi29R1427dYnJ8ULzlJD06cgAnsxUZHzgnV5BMuI0YMcLcKmtRUFCArKwsAEBWVhaOHTtmXp6ZmQlvb2+Eh4cjIiICRUVFri4ygLYzjbySM8riFEnudu/C3cKY3IscL55IeiTTLWlJZWUl1Go1AECtVqOqqgoAoNPpkJiYaF4vJCQEOp2uy/01NjaiuLi4y/X0er1N67WmVKngrfTH95caUFtbCz9TPUytWpO3+Kjwz98moPq6EYG9VfA3XcO339bY9TNsLUe90h/VDUYE+ak6lMOWuilVKmzJuh1r8r8xdxttybodTdU/ofiKOC1kW3TnuLkLOdXNt1c/i1353ibb/j7dhSuOWUxMjF3rNzQ0dOvnSPW4dFZ/SYebNYLQceSeQtF1N5OPj49NH4bi4mK7PjRSuYdgSzlsrVuUSUDC4GC3ukdl73FzJ46um5gztphMArbOVXb4nA6L1ECpDHNJGVxBip9HPz+/bm0ntXrYQtLhFhwcjIqKCqjValRUVCAoKAgAoNFoUF5ebl5Pp9OZW3hiEGsARvsTlFIBh5fDwnUEuTmxL8b4tmpyBUmHW0pKCvLz85GTk4P8/Hykpqaal69cuRLZ2dnQ6XQoLS1FQkKCaOUU4yFhSyeoJ2fEI9DP2zw7SnfLIfbJz1J55DwvpKtJYTRsywCfxitliBw42CU/09PZOrdke63nlnSneSYlE24rVqzARx99hOrqaowfPx5LlixBTk4Oli1bhv379yM0NBTbtm0DAERFRWHKlCnIyMiASqXChg0boFKpRCu7GDM5WDpBrTv4JXLGR2J7QUmPyiGFk18LqQWtHHjKjC3UVnfnlmzNneaZlEy4bd261eLy3bt3W1yem5uL3NxcZxbJZq1n9Z+aEAaVEhgREYTBgd3r37aFtRNUdEhfc9B2d1SmlE5+UgpaueC0WuQJJBNu7kypVCA9JgRNRhMefrXIKS2M9l1zoQGWT1Axmhszo/RkIIiUTn5SClq54Iwt5AkYbg7yY3WDOdgAx7YwrHXN/eXXSXjwn5+1WXbzAP82L0HtDimd/KQUtHLBGVvIEzDcHKQ7LQxbB0pY65rTLhnX41aaJVI6+UkpaN2Rtc+YFKZ5I3ImhpuD2NvCsGeghLXgvFynN08n5WhSOflJKWjdDQfjkCdzjzGdbsDeKbbsmV/P06fD6mpeyJbX8/zU5O/2r+dxJM7hSJ6MLTcHsbeFYU83JrvmrGPrxDoOxiFPxnBzIHu68uzpxmwdnFX1jeilUqLBYMT3V+qhUgKXaj334WY+KmBdSD9fRAT3xtSEMLTMTvf6Fxc9psVPno3hJhJ7W2NKpQJDgv1xpvxam20eSo3C30/+gOoGQ4cWi6XBBO25++wfbJ1YNzjQD6vSb8PZijqYBEClAFal3+bU5y+JpILhJpLuDJSw1ErZVnAWC8ZG4n/eKWnTYrHWXXeLz88zucihS4+PClh3oaYBF6qvI+/E+TYXQxdqGjBkgGcHP8kfB5SIyN4XaFprpbR0ObV+J5a17rp65c+tN1cPOGgZ+HHy3BWHDfyQ8rvynFFfe+iuNmJbwdkOF0O6q40uLQeRGNhycyPWWiktM/e3brFYC8Lq6z+/j82VXXrOaiVKdYZ5KbSK6w3NFo9vg6HZJT+fpKW7Eye3JpWJk20pB8NNImy592XpPl3LPbf2LRZrQRjY++duSVd26Tlz4IcUZ5iXwkCXiCB/i8d3cJD4rVpyPUdMnCwVtoQ0w60b2gfR4EA//Fjd0GHghq0DNWy9ym9/n25gH1+olEDS4P4d7tlZG7Dib7pm3p8rHzHwtIEfUqjvzQMsH9+bB/g7ZSCRuw9OInlhuNnJUhA9nhWHHcfP4ofK6/DtpcRffp0EQ7NgXiciuDc2T49HL5WizR99y8mgtLIe35ZfNb+LrbOrfEuPG1gaHGBtwMq339Z0uY4zTkieNvBDCvW1dnwBOLzLVArdsEStid956kZMJgFfXqzBmfKrWDguEqEBvtA3mfBI/leYmhAG4MbVedGFWvMfeWiAL+4aPhg5e05j3nOnkLG9EEe+LkdzswlHvi5HxvZC3PvSaew8cR7zR0cgNMDXvJ+WwSGdlaezAQu2DFixd1BLd0l54Icz2FtfZw0+sXR8nTGQyN59unpWGbEH95DrseVmI0tXpktTorDnwx9wqVZvHrEYGuCL2JsC8KfZiWhobEY/v17Y8mZxhz/6fTmjO5wMth//eVh/V1f57nal7GlzRNpTX1cfS2d0mdqzT1fX193+Vsgx2HKzUcuVaaCfNxZPvBULx0WisdmI/0qOQERwb0SH9MWKtGhs+lUsdLXXsXr/F3j4wJdYvu9z/Hrkzy0y4MYffUv3Y2stw/ptadVI/UrZEle1EqXC1vq6+pEMZ8xVas8+XV1fzrHpmdhys4HJJODytUYs+uWtiNH0xfdX6nC18caQ+vCg3nhwYhT+e/8XbUYwBvp5AwBm3jEITUYTtsyKR/Glq6hrNOL1Ly4iNKC3xXsy424dgJlJYV22aqR8pUz2cebgk+ZmE76+VItLtXqEBvRGbGg/pwwksmefrh5sI4XBPeR6DLcuNDeb8MH5Spz+oQomAXj8jW9w94jBePWTC6huMODRqbcj78Q58x9PtLoPwgP9sGbKUAT5eWNbwbc4/UOtuRvz9S8uYklKFGJC+lo8GYwYEmRT4NgzYEEKw9LJOmcNPmluNiH/i4t4JP+rNoOfshLDHN5FbE83rKsH20hhcA+5HrslO2EyCdB+dQk5e05je0EJdhWex13DB+OVj3/EzDsGQd9kwubD35gHkySE9cO8kRFYtf8LPPTK57hvz2nMumMwEsL6me+pTU0IwyP5X+FC7XVMjtXgjaXj8ErOKLyxdBwmx2pgMgn4oqwaR766hC/KatDcbLJYNnsGLHR25dqT341UbtBLocu1J5w12ObrS7XmYANgHvz09aVap3QR27pPVw8u8rTBTHQDW26dKK2sx8OvFlkc9NF6yqsAXxUWT7wVQzV9UVJxrc2Q/o2Hv8YfZydi6d7PzPfUWneJtB7W39mVtle7p/G7ulJu/cyRn7cXIoJ744fK6+bte3LlKqVuTimVpbucNdjG2n3d8lo9EsN7tOsecfWsMp42mIluYLh1orK+sU2QvfrJBVyq1UOlBIz/d86ICO6N4L6+2HrsS/MzbY9OvR0lFXUwGE149ZMLuP5/0x21TJVlLVisXWlHqfsgMTyww/rWXrFjy7N4PblydUU3p60PBMuly9UZbz63dl9XEyB+d5yrZ5WRypvlyXUYblaYTAJ+qtHj+f/8PKP60pQo7Dv9I2I0/bDp8Dfw7aXE5unxyNlzus0zbe2nx+rv591me2vB4qgrbUsn/Efyv8K+nNG4UnOtx1fKzr5Bb09rjIMFrIsN7YfHs+I69ATEhgaIXTQSgSPmlpQKzi3ZA6WV9dj69rdtWm77Tv+Ijb+Kw80D/PDMXYlQ9/WF7qoegX7e+K/kCNwW0hdX6hqxJOVW/OPDH3GpVo9tBWfxjwUjsS9nNJqMJkyO01gNFkddaVs74V9vMuImr/oeXyk7+wa9Pa0xDhawzstLiazEMESp+6C8Vg9NgC9iQwM6dHGTZ3Dl3JLODlFbJm/mp9yKyvpG3DV8MJ7/z3n85fjPg0n8fVSICP75pnlogC+W33krhgT74/MLNfix+jr+dboMvxszBKEBvgj084bRBDQYjAjy9zG32CwNxmi50m5947s7V9rOeI6pNWffoLdnAIzcBwv0dLCMl5cSieGBmBQXisTwQAYbeQy3brmdOHECTzzxBEwmE+bMmYOcnByH7dtbpcT2423fhbX9+FnsyxndZj1BAJpMwPJ2M5f886MfkDshEgP7+uL9c1dgEoDXv7iIR6fe3mbeydZdbo660u7smaNvr/T8d+PsG/T2tMak+sobR5DDYBkisbhtuBmNRmzatAkvvvgiQkJCMHv2bKSkpODWW291yP4bDEbzyTU0wBcz7xhkHuloMgnmk0vFtUZsPvxNhxB8KDUKvb29OoTe+Yo6bD121mqXW8uVdk9Gs7lidJgzb9Db+5CxFF954whyGSxDJAa3DbeioiJEREQgPPxGCmRmZqKgoMBh4dbSegj088b80RHmVtzrX1xsM8O/wWi02IUWHuiHVf83a0nLsu3Hz+JPsxNdMgDCnUeHcej2DRwsQ9R9bhtuOp0OGo3G/HVISAiKioo63aaxsRHFxcVd7luv10NZ/RO2ZN2O81V6c7C1nuG/pUXxhxlxFp8hUypheVCHodlil5u3ybay9ZRer3fJz3GUAACNjbCpO9Xd6tYV3179RP2suILcjllrrqhbTEyMXes3NDQ4qSQdueK4dlZ/tw03Qeh4Y12h6PzK3sfHx6YPQ3FxMW6LjkaUScC731WYTy4z7xjU4T7c2oNfIW/+cOTsOY1AP2/MGT4It6r7IKy/n8XQuymwt7nLrWX9aHVfBPTrh5sH3GRT66QnL4UsLi62+w/CXcitbiaTgK1zlR26Z4dFaqBUhllc391eFiq3Y9aaFOvm5+fnsp8ldt3dNtw0Gg3Ky8vNX+t0OqjVaof+DKVSgSHB/uar55Z7bq3pm0zopVLgyEPj8OmPNVh38EurD04/NSsBo4cEQ6lU4HYL69syWICDDDyHPYNl+LkgasttxwXHx8ejtLQUZWVlMBgM0Gq1SElJcfjPsTTUvDXfXkqE9POFSYA5qICfH5zefneSee7IaQk3wctLeeMt3BbWt+U1HHx9h2dpuXd64/lE6bw2h0jq3Lbl5uXlhQ0bNmDhwoUwGo2YNWsWoqKiHP5zWl89V9U3IkrdxzzfZOtRfKe+r7T64PToyAEd9tvdwQIcZECW8HNB1JbbhhsATJgwARMmTHD6z2k98vAOk4D4sIAOo/jsnSmjuzNrcEYOsoSfC6K23LZbUizWXuth70wZ3Z1ZwxUzckjpdTZkG7nP1EJkL7duuUmJvc9mdfdZLmc/A8aBCe6JzwZSV1w5cbItExs7G8PNgex9cLq7D1o78wFtzorhvtz5wX1yvq4elXIksYMNYLckteOMt3YTEbkaw43acPYbBYiIXIHhRm1wYAIRyQHvuVEbHJhARHLAcKMOODCBiNwduyWJiEh2GG5ERCQ77JYkIhKJO76myF0w3IiIRMDZgJyL3ZJERCLga4qci+FGRCQCV88GJAgCDM1tf177r+WE3ZJERCJw9WuKFAoF/uuFU22WuWoiZTGw5UZEJALOBuRcbLkRUQccxed8nA3IuRhu5FI8aUofR/G5DmcDch52S5LLtJw0M7YXYt5zp5CxvRBHvi7nm74lhqP4SA4YbuQyPGm6B77Tj+SA4UYuw5Ome+A7/UgOGG7kMjxpugeO4iM54IAScpmWk2b7gQo8aUoLR/GRHDDcyGV40pSOrkatchQfuTvRuyXffPNNZGZmYujQofjyyy/bfG/nzp1IS0vDpEmTUFhYaF7+1VdfYdq0aUhLS8Pjjz8OQeBoO3fRctIcHTkAkQP7MNhEwFGr5AlED7fo6Gjs2LEDI0aMaLO8pKQEWq0WWq0Wu3btwsaNG2E0GgEAv//977Fp0yYcPXoUpaWlOHHihBhFJ3JLHLVKnkD0bslbbrnF4vKCggJkZmbC29sb4eHhiIiIQFFREcLCwlBXV4ekpCQAQFZWFgoKCjBhwgRXFpvIbXU2apXdkPIlCEKHuSQNzSZ4e4nexnEK0cPNGp1Oh8TERPPXISEh0Ol08PLygkajMS/XaDTQ6XQ27bOxsRHFxcVdrqfX621azx2xbu7JkXXz7dXP4oS93ibb/j4cicesZ2JiYmxe12AwyO533Vn9XRJuv/vd73DlypUOy5ctW4Y777zT4jaW7qMpFAqry23h4+Nj04ehuLjYrg+NO2Hd3JMj62YyCdg6V9lh1OqwSA2UyjCH/Axb8Zi5jq3nP7lwSbi99NJLdm+j0WhQXl5u/lqn00GtVndYXl5eDrVa7YhiEnkEjlolTyDZztaUlBRotVoYDAaUlZWhtLQUCQkJUKvV8Pf3x+effw5BEJCfn4/U1FSxi0vkVjhqleRO9Htub7/9NjZv3oyqqircf//9iImJwfPPP4+oqChMmTIFGRkZUKlU2LBhA1QqFYAboyXXrl0LvV6P8ePHY/z48SLXgoiIpET0cEtLS0NaWprF7+Xm5iI3N7fD8vj4eBw+fNjZRSMiIjcl2W5JIiKi7mK4ERGR7DDciIhIdhhuREQkOww3IiKSHYYbERHJjkLwoPfFfP755/Dx8RG7GEREDuHl5YWoqCib1j179qzN68qBR4UbERF5BnZLEhGR7DDciIhIdhhuREQkOww3IiKSHYYbERHJDsONiIhkh+HWzokTJzBp0iSkpaUhLy9P7OL0WEpKCqZNm4bp06dj5syZAICamhpkZ2cjPT0d2dnZqK2tFbmUXVu7di2Sk5MxdepU87LO6rFz506kpaVh0qRJKCwsFKPINrNUtx07dmDcuHGYPn06pk+fjvfee8/8PXeq26VLlzB//nxMmTIFmZmZ2L17NwD3P3bW6iWX4yYLApk1NzcLqampwo8//ig0NjYK06ZNE86ePSt2sXpk4sSJQmVlZZtlTz31lLBz505BEARh586dwh//+EcximaXjz76SPjqq6+EzMxM8zJr9Th79qwwbdo0obGxUfjxxx+F1NRUobm5WZRy28JS3bZv3y7s2rWrw7ruVjedTid89dVXgiAIwrVr14T09HTh7Nmzbn/srNVLLsdNDthya6WoqAgREREIDw+Ht7c3MjMzUVBQIHaxHK6goABZWVkAgKysLBw7dkzcAtlgxIgRCAgIaLPMWj0KCgqQmZkJb29vhIeHIyIiAkVFRa4uss0s1c0ad6ubWq1GbGwsAKBPnz6IjIyETqdz+2NnrV7WuEu95ITh1opOp4NGozF/HRIS0ukH1l0sWLAAM2fOxL59+wAAlZWVUKvVAG78kVZVVYlZvG6zVg+5HMeXX34Z06ZNw9q1a83ddu5ctwsXLqC4uBiJiYmyOnat6wXI77i5K4ZbK4KFmcgUCoUIJXGcvXv34uDBg3juuefw8ssv4+OPPxa7SE4nh+M4b948vP322zh06BDUajW2bNkCwH3rVl9fj6VLl2LdunXo06eP1fXcrX7t6yW34+bOGG6taDQalJeXm7/W6XTmq0t3FRISAgAIDg5GWloaioqKEBwcjIqKCgBARUUFgoKCxCxit1mrhxyO44ABA6BSqaBUKjFnzhx8+eWXANyzbk1NTVi6dCmmTZuG9PR0API4dpbqJafj5u4Ybq3Ex8ejtLQUZWVlMBgM0Gq1SElJEbtY3dbQ0IC6ujrz/99//31ERUUhJSUF+fn5AID8/HykpqaKWMrus1aPlJQUaLVaGAwGlJWVobS0FAkJCSKW1H4tJ34AOHbsmHk2d3ermyAIWL9+PSIjI5GdnW1e7u7Hzlq95HLc5IBvBWjnvffew5NPPgmj0YhZs2YhNzdX7CJ1W1lZGRYvXgwAMBqNmDp1KnJzc1FdXY1ly5bh0qVLCA0NxbZt29C/f39xC9uFFStW4KOPPkJ1dTWCg4OxZMkS3HnnnVbr8de//hWvvvoqVCoV1q1bhwkTJohbgU5YqttHH32EM2fOAADCwsKwadMm85W+O9Xt9OnT+M1vfoPo6GgolTeupVesWIGEhAS3PnbW6nX48GFZHDc5YLgREZHssFuSiIhkh+FGRESyw3AjIiLZYbgREZHsMNyIiEh2GG5ERCQ7DDciK15//XXMnDkTSUlJGDt2LBYuXIjTp093e387duzAqlWrHFhCIrLGS+wCEEnRiy++iLy8PGzcuBFjx45Fr169UFhYiIKCAgwfPlzs4hFRF/gQN1E7165dw/jx4/Hkk09iypQpHb6/Zs0ahISEYPny5QCAU6dOYfXq1Thx4gQAIC8vD3v27EFdXR3UajV+//vfo6mpCYsWLYIgCObXnrz22mvQ6XR47LHH8OmnnyIgIAD33Xcf5s6d69L6EskRW25E7Xz22WdobGxEWlqa3dueP38eL7/8Mvbv34+QkBBcuHABJpMJgwcPxv33348ffvgBTz/9tHn9lStX4tZbb0VhYSHOnz+P7OxshIeHIzk52ZFVIvI4vOdG1E5NTQ0CAwPh5WX/tZ9KpYLBYMC5c+fQ1NSEQYMGYfDgwRbXvXTpEj755BOsWrUKPj4+iImJwZw5c3Do0KGeVoHI4zHciNrp378/qqur0dzcbPe2ERERWLduHXbs2IExY8Zg+fLlVl9KWVFRgYCAgDbvN7vpppv4EksiB2C4EbWTlJQEHx8fHDt2zOL3e/fuDb1eb/76ypUrbb4/bdo07N27F++88w4UCoW5G7L9yynVajVqa2vNryUCbrTmWt7BR0Tdx3Ajaqdv375YunQpNm3ahGPHjuH69etoamrCe++9hz/+8Y+IiYnBe++9h5qaGly+fBm7d+82b3v+/HmcPHkSBoMB3t7e8PHxgUqlAnDjBZ0XL16EyWQCAISGhiIpKQlbt25FY2Mjzpw5g/3792PatGmi1JtITjhaksiK1157DS+99BLOnz8Pf39/xMbG4oEHHkBsbCwefvhhnDhxAmFhYZg1axZeeOEFnDhxAmfOnMEjjzyCc+fOoVevXkhKSsKmTZsQEhKC6upqLFq0CCUlJRg0aBAOHjyI8vJyPPbYY/jss8/Qr18/LFiwAPPmzRO76kRuj+FGRESyw25JIiKSHYYbERHJDsONiIhkh+FGRESyw3AjIiLZYbgREZHsMNyIiEh2GG5ERCQ7/x8lJV0sk3Z9WAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('whitegrid')\n",
    "\n",
    "plt.figure(figsize=[8,6])\n",
    "h=sns.jointplot(x='budget', y='Profit', data=movies)\n",
    "h.set_axis_labels('Custo', 'Lucro', fontsize=12)\n",
    "plt.subplots_adjust(top=0.9)\n",
    "plt.suptitle('Relação de custo e lucro', fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f42bcd4",
   "metadata": {},
   "source": [
    "- Podemos obsevar que a maioria dos filmes estão no canto inferior esquerdo\n",
    "- Alguns filmes tiveram valores de orçamento alto, mas ainda sim tiveram um lucro negativo\n",
    "- Podemos notar também que uma suave correlação positiva entre o valor do orçamento e o lucro"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc6d4daa",
   "metadata": {},
   "source": [
    "### Quais são os filmes que mais deram prejuízo?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5dbac63",
   "metadata": {},
   "source": [
    "- Vamos verificar os filmes que tiveram prejuízo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9ce9d3ed",
   "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>Title</th>\n",
       "      <th>title_year</th>\n",
       "      <th>budget</th>\n",
       "      <th>Gross</th>\n",
       "      <th>Profit</th>\n",
       "      <th>actor_1_name</th>\n",
       "      <th>actor_2_name</th>\n",
       "      <th>actor_3_name</th>\n",
       "      <th>actor_1_facebook_likes</th>\n",
       "      <th>actor_2_facebook_likes</th>\n",
       "      <th>actor_3_facebook_likes</th>\n",
       "      <th>IMDb_rating</th>\n",
       "      <th>genre_1</th>\n",
       "      <th>genre_2</th>\n",
       "      <th>genre_3</th>\n",
       "      <th>MetaCritic</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>CVotes10</th>\n",
       "      <th>CVotes09</th>\n",
       "      <th>CVotes08</th>\n",
       "      <th>CVotes07</th>\n",
       "      <th>CVotes06</th>\n",
       "      <th>CVotes05</th>\n",
       "      <th>CVotes04</th>\n",
       "      <th>CVotes03</th>\n",
       "      <th>CVotes02</th>\n",
       "      <th>CVotes01</th>\n",
       "      <th>CVotesMale</th>\n",
       "      <th>CVotesFemale</th>\n",
       "      <th>CVotesU18</th>\n",
       "      <th>CVotesU18M</th>\n",
       "      <th>CVotesU18F</th>\n",
       "      <th>CVotes1829</th>\n",
       "      <th>CVotes1829M</th>\n",
       "      <th>CVotes1829F</th>\n",
       "      <th>CVotes3044</th>\n",
       "      <th>CVotes3044M</th>\n",
       "      <th>CVotes3044F</th>\n",
       "      <th>CVotes45A</th>\n",
       "      <th>CVotes45AM</th>\n",
       "      <th>CVotes45AF</th>\n",
       "      <th>CVotes1000</th>\n",
       "      <th>CVotesUS</th>\n",
       "      <th>CVotesnUS</th>\n",
       "      <th>VotesM</th>\n",
       "      <th>VotesF</th>\n",
       "      <th>VotesU18</th>\n",
       "      <th>VotesU18M</th>\n",
       "      <th>VotesU18F</th>\n",
       "      <th>Votes1829</th>\n",
       "      <th>Votes1829M</th>\n",
       "      <th>Votes1829F</th>\n",
       "      <th>Votes3044</th>\n",
       "      <th>Votes3044M</th>\n",
       "      <th>Votes3044F</th>\n",
       "      <th>Votes45A</th>\n",
       "      <th>Votes45AM</th>\n",
       "      <th>Votes45AF</th>\n",
       "      <th>Votes1000</th>\n",
       "      <th>VotesUS</th>\n",
       "      <th>VotesnUS</th>\n",
       "      <th>content_rating</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Hugo</td>\n",
       "      <td>2011</td>\n",
       "      <td>170</td>\n",
       "      <td>73</td>\n",
       "      <td>-97</td>\n",
       "      <td>ChloÃ« Grace Moretz</td>\n",
       "      <td>Christopher Lee</td>\n",
       "      <td>Ray Winstone</td>\n",
       "      <td>17000</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>7.5</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Family</td>\n",
       "      <td>83.0</td>\n",
       "      <td>126</td>\n",
       "      <td>29228</td>\n",
       "      <td>40728</td>\n",
       "      <td>77893</td>\n",
       "      <td>62936</td>\n",
       "      <td>27932</td>\n",
       "      <td>11179</td>\n",
       "      <td>4664</td>\n",
       "      <td>2674</td>\n",
       "      <td>1700</td>\n",
       "      <td>3023</td>\n",
       "      <td>179655</td>\n",
       "      <td>47795</td>\n",
       "      <td>884</td>\n",
       "      <td>616</td>\n",
       "      <td>250</td>\n",
       "      <td>105814</td>\n",
       "      <td>79064</td>\n",
       "      <td>25620</td>\n",
       "      <td>93126</td>\n",
       "      <td>76098</td>\n",
       "      <td>15694</td>\n",
       "      <td>22136</td>\n",
       "      <td>17667</td>\n",
       "      <td>4065</td>\n",
       "      <td>669</td>\n",
       "      <td>39127</td>\n",
       "      <td>142850</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.4</td>\n",
       "      <td>7.4</td>\n",
       "      <td>7.4</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.4</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.5</td>\n",
       "      <td>PG</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>The Little Prince</td>\n",
       "      <td>2015</td>\n",
       "      <td>81</td>\n",
       "      <td>1</td>\n",
       "      <td>-80</td>\n",
       "      <td>Jeff Bridges</td>\n",
       "      <td>James Franco</td>\n",
       "      <td>Mackenzie Foy</td>\n",
       "      <td>12000</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>Animation</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Drama</td>\n",
       "      <td>70.0</td>\n",
       "      <td>108</td>\n",
       "      <td>7565</td>\n",
       "      <td>7321</td>\n",
       "      <td>11668</td>\n",
       "      <td>8558</td>\n",
       "      <td>3370</td>\n",
       "      <td>1162</td>\n",
       "      <td>456</td>\n",
       "      <td>227</td>\n",
       "      <td>158</td>\n",
       "      <td>293</td>\n",
       "      <td>22441</td>\n",
       "      <td>9552</td>\n",
       "      <td>226</td>\n",
       "      <td>128</td>\n",
       "      <td>96</td>\n",
       "      <td>15959</td>\n",
       "      <td>10150</td>\n",
       "      <td>5610</td>\n",
       "      <td>12174</td>\n",
       "      <td>9280</td>\n",
       "      <td>2682</td>\n",
       "      <td>1899</td>\n",
       "      <td>1496</td>\n",
       "      <td>355</td>\n",
       "      <td>198</td>\n",
       "      <td>3678</td>\n",
       "      <td>19009</td>\n",
       "      <td>7.6</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.4</td>\n",
       "      <td>7.9</td>\n",
       "      <td>6.6</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.7</td>\n",
       "      <td>PG</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Edge of Tomorrow</td>\n",
       "      <td>2014</td>\n",
       "      <td>178</td>\n",
       "      <td>100</td>\n",
       "      <td>-78</td>\n",
       "      <td>Tom Cruise</td>\n",
       "      <td>Lara Pulver</td>\n",
       "      <td>Noah Taylor</td>\n",
       "      <td>10000</td>\n",
       "      <td>854.0</td>\n",
       "      <td>509.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>71.0</td>\n",
       "      <td>113</td>\n",
       "      <td>60383</td>\n",
       "      <td>99596</td>\n",
       "      <td>175961</td>\n",
       "      <td>100724</td>\n",
       "      <td>28982</td>\n",
       "      <td>8145</td>\n",
       "      <td>2858</td>\n",
       "      <td>1368</td>\n",
       "      <td>857</td>\n",
       "      <td>1661</td>\n",
       "      <td>341199</td>\n",
       "      <td>45790</td>\n",
       "      <td>1893</td>\n",
       "      <td>1584</td>\n",
       "      <td>292</td>\n",
       "      <td>172016</td>\n",
       "      <td>148814</td>\n",
       "      <td>21495</td>\n",
       "      <td>157476</td>\n",
       "      <td>138752</td>\n",
       "      <td>16463</td>\n",
       "      <td>30965</td>\n",
       "      <td>26562</td>\n",
       "      <td>3820</td>\n",
       "      <td>691</td>\n",
       "      <td>55486</td>\n",
       "      <td>217557</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.5</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Tangled</td>\n",
       "      <td>2010</td>\n",
       "      <td>260</td>\n",
       "      <td>200</td>\n",
       "      <td>-60</td>\n",
       "      <td>Brad Garrett</td>\n",
       "      <td>Donna Murphy</td>\n",
       "      <td>M.C. Gainey</td>\n",
       "      <td>799</td>\n",
       "      <td>553.0</td>\n",
       "      <td>284.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>Animation</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>71.0</td>\n",
       "      <td>124</td>\n",
       "      <td>56575</td>\n",
       "      <td>54688</td>\n",
       "      <td>97207</td>\n",
       "      <td>70947</td>\n",
       "      <td>26805</td>\n",
       "      <td>8530</td>\n",
       "      <td>3043</td>\n",
       "      <td>1396</td>\n",
       "      <td>805</td>\n",
       "      <td>1606</td>\n",
       "      <td>166088</td>\n",
       "      <td>97213</td>\n",
       "      <td>1950</td>\n",
       "      <td>1048</td>\n",
       "      <td>885</td>\n",
       "      <td>144744</td>\n",
       "      <td>81897</td>\n",
       "      <td>61390</td>\n",
       "      <td>89588</td>\n",
       "      <td>63534</td>\n",
       "      <td>24912</td>\n",
       "      <td>15318</td>\n",
       "      <td>11277</td>\n",
       "      <td>3805</td>\n",
       "      <td>622</td>\n",
       "      <td>47643</td>\n",
       "      <td>148024</td>\n",
       "      <td>7.6</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.4</td>\n",
       "      <td>8.3</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.7</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.5</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.9</td>\n",
       "      <td>6.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.7</td>\n",
       "      <td>PG</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Scott Pilgrim vs. the World</td>\n",
       "      <td>2010</td>\n",
       "      <td>60</td>\n",
       "      <td>31</td>\n",
       "      <td>-29</td>\n",
       "      <td>Anna Kendrick</td>\n",
       "      <td>Kieran Culkin</td>\n",
       "      <td>Ellen Wong</td>\n",
       "      <td>10000</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>719.0</td>\n",
       "      <td>7.5</td>\n",
       "      <td>Action</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Romance</td>\n",
       "      <td>69.0</td>\n",
       "      <td>112</td>\n",
       "      <td>47292</td>\n",
       "      <td>48976</td>\n",
       "      <td>79198</td>\n",
       "      <td>59689</td>\n",
       "      <td>28452</td>\n",
       "      <td>13451</td>\n",
       "      <td>6977</td>\n",
       "      <td>4254</td>\n",
       "      <td>3069</td>\n",
       "      <td>6287</td>\n",
       "      <td>208417</td>\n",
       "      <td>45718</td>\n",
       "      <td>1022</td>\n",
       "      <td>791</td>\n",
       "      <td>221</td>\n",
       "      <td>129202</td>\n",
       "      <td>99363</td>\n",
       "      <td>28557</td>\n",
       "      <td>102986</td>\n",
       "      <td>88456</td>\n",
       "      <td>13334</td>\n",
       "      <td>14195</td>\n",
       "      <td>12157</td>\n",
       "      <td>1778</td>\n",
       "      <td>677</td>\n",
       "      <td>56559</td>\n",
       "      <td>150511</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.4</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.4</td>\n",
       "      <td>7.4</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.4</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Title  title_year  budget  Gross  Profit  \\\n",
       "99                         Hugo        2011     170     73     -97   \n",
       "98            The Little Prince        2015      81      1     -80   \n",
       "97             Edge of Tomorrow        2014     178    100     -78   \n",
       "96                      Tangled        2010     260    200     -60   \n",
       "95  Scott Pilgrim vs. the World        2010      60     31     -29   \n",
       "\n",
       "           actor_1_name     actor_2_name   actor_3_name  \\\n",
       "99  ChloÃ« Grace Moretz  Christopher Lee   Ray Winstone   \n",
       "98         Jeff Bridges     James Franco  Mackenzie Foy   \n",
       "97           Tom Cruise      Lara Pulver    Noah Taylor   \n",
       "96         Brad Garrett     Donna Murphy    M.C. Gainey   \n",
       "95        Anna Kendrick    Kieran Culkin     Ellen Wong   \n",
       "\n",
       "    actor_1_facebook_likes  actor_2_facebook_likes  actor_3_facebook_likes  \\\n",
       "99                   17000                 16000.0                  1000.0   \n",
       "98                   12000                 11000.0                  6000.0   \n",
       "97                   10000                   854.0                   509.0   \n",
       "96                     799                   553.0                   284.0   \n",
       "95                   10000                  1000.0                   719.0   \n",
       "\n",
       "    IMDb_rating    genre_1    genre_2  genre_3  MetaCritic  Runtime  CVotes10  \\\n",
       "99          7.5  Adventure      Drama   Family        83.0      126     29228   \n",
       "98          7.8  Animation  Adventure    Drama        70.0      108      7565   \n",
       "97          7.9     Action  Adventure   Sci-Fi        71.0      113     60383   \n",
       "96          7.8  Animation  Adventure   Comedy        71.0      124     56575   \n",
       "95          7.5     Action     Comedy  Romance        69.0      112     47292   \n",
       "\n",
       "    CVotes09  CVotes08  CVotes07  CVotes06  CVotes05  CVotes04  CVotes03  \\\n",
       "99     40728     77893     62936     27932     11179      4664      2674   \n",
       "98      7321     11668      8558      3370      1162       456       227   \n",
       "97     99596    175961    100724     28982      8145      2858      1368   \n",
       "96     54688     97207     70947     26805      8530      3043      1396   \n",
       "95     48976     79198     59689     28452     13451      6977      4254   \n",
       "\n",
       "    CVotes02  CVotes01  CVotesMale  CVotesFemale  CVotesU18  CVotesU18M  \\\n",
       "99      1700      3023      179655         47795        884         616   \n",
       "98       158       293       22441          9552        226         128   \n",
       "97       857      1661      341199         45790       1893        1584   \n",
       "96       805      1606      166088         97213       1950        1048   \n",
       "95      3069      6287      208417         45718       1022         791   \n",
       "\n",
       "    CVotesU18F  CVotes1829  CVotes1829M  CVotes1829F  CVotes3044  CVotes3044M  \\\n",
       "99         250      105814        79064        25620       93126        76098   \n",
       "98          96       15959        10150         5610       12174         9280   \n",
       "97         292      172016       148814        21495      157476       138752   \n",
       "96         885      144744        81897        61390       89588        63534   \n",
       "95         221      129202        99363        28557      102986        88456   \n",
       "\n",
       "    CVotes3044F  CVotes45A  CVotes45AM  CVotes45AF  CVotes1000  CVotesUS  \\\n",
       "99        15694      22136       17667        4065         669     39127   \n",
       "98         2682       1899        1496         355         198      3678   \n",
       "97        16463      30965       26562        3820         691     55486   \n",
       "96        24912      15318       11277        3805         622     47643   \n",
       "95        13334      14195       12157        1778         677     56559   \n",
       "\n",
       "    CVotesnUS  VotesM  VotesF  VotesU18  VotesU18M  VotesU18F  Votes1829  \\\n",
       "99     142850     7.5     7.6       7.8        7.8        7.6        7.7   \n",
       "98      19009     7.6     8.1       8.0        7.8        8.2        7.9   \n",
       "97     217557     7.9     7.8       8.2        8.1        8.2        8.0   \n",
       "96     148024     7.6     8.2       7.8        7.4        8.3        7.9   \n",
       "95     150511     7.5     7.4       8.1        8.2        8.0        7.6   \n",
       "\n",
       "    Votes1829M  Votes1829F  Votes3044  Votes3044M  Votes3044F  Votes45A  \\\n",
       "99         7.7         7.7        7.4         7.4         7.4       7.5   \n",
       "98         7.8         8.2        7.6         7.5         7.9       7.5   \n",
       "97         8.0         7.8        7.8         7.8         7.7       7.8   \n",
       "96         7.7         8.2        7.6         7.5         8.0       7.7   \n",
       "95         7.7         7.5        7.4         7.4         7.2       7.1   \n",
       "\n",
       "    Votes45AM  Votes45AF  Votes1000  VotesUS  VotesnUS content_rating Country  \n",
       "99        7.5        7.6        7.4      7.7       7.5             PG     USA  \n",
       "98        7.4        7.9        6.6      7.7       7.7             PG  France  \n",
       "97        7.8        7.8        7.5      8.0       7.8          PG-13     USA  \n",
       "96        7.6        7.9        6.9      7.9       7.7             PG     USA  \n",
       "95        7.1        7.0        6.6      7.8       7.4          PG-13     USA  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "negative_profit=movies[movies['Profit'] < 0]\n",
    "negative_profit.reset_index(drop=True)\n",
    "\n",
    "negative_profit.sort_values(by='Profit')[0:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23f42d64",
   "metadata": {},
   "source": [
    "### Quais os filmes mais populares, ou seja, que tiveram uma boa resposta do público?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "850e5b06",
   "metadata": {},
   "source": [
    "- Para isso podemos utilizar as colunas *MetaCritic* e a *IMDb_rating*."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c4d6bf9",
   "metadata": {},
   "source": [
    "- Contudo é necessário converter ambas as colunas para os valores ficarem na mesma escala. A coluna *MetaCritic* está numa escala de 100 e a *IMDb_rating* está em uma escala de 10."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2bc9596c",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies['MetaCritic'] = movies['MetaCritic']/10"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d88420c",
   "metadata": {},
   "source": [
    "- Vamos criar uma coluna para armazenar o valor médio de ambas os valores da crítica."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "1e684c5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies.insert(18, column='Avg_rating', value=movies.loc[:, ['MetaCritic', 'IMDb_rating']].mean(axis=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "466c7397",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies.sort_values(by='Avg_rating', ascending=False, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e488220",
   "metadata": {},
   "source": [
    "- Agora nós temos todos os filmes ordenados pela sua popularidade"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "dffebaf7",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Title</th>\n",
       "      <th>title_year</th>\n",
       "      <th>budget</th>\n",
       "      <th>Gross</th>\n",
       "      <th>Profit</th>\n",
       "      <th>actor_1_name</th>\n",
       "      <th>actor_2_name</th>\n",
       "      <th>actor_3_name</th>\n",
       "      <th>actor_1_facebook_likes</th>\n",
       "      <th>actor_2_facebook_likes</th>\n",
       "      <th>actor_3_facebook_likes</th>\n",
       "      <th>IMDb_rating</th>\n",
       "      <th>genre_1</th>\n",
       "      <th>genre_2</th>\n",
       "      <th>genre_3</th>\n",
       "      <th>MetaCritic</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>CVotes10</th>\n",
       "      <th>Avg_rating</th>\n",
       "      <th>CVotes09</th>\n",
       "      <th>CVotes08</th>\n",
       "      <th>CVotes07</th>\n",
       "      <th>CVotes06</th>\n",
       "      <th>CVotes05</th>\n",
       "      <th>CVotes04</th>\n",
       "      <th>CVotes03</th>\n",
       "      <th>CVotes02</th>\n",
       "      <th>CVotes01</th>\n",
       "      <th>CVotesMale</th>\n",
       "      <th>CVotesFemale</th>\n",
       "      <th>CVotesU18</th>\n",
       "      <th>CVotesU18M</th>\n",
       "      <th>CVotesU18F</th>\n",
       "      <th>CVotes1829</th>\n",
       "      <th>CVotes1829M</th>\n",
       "      <th>CVotes1829F</th>\n",
       "      <th>CVotes3044</th>\n",
       "      <th>CVotes3044M</th>\n",
       "      <th>CVotes3044F</th>\n",
       "      <th>CVotes45A</th>\n",
       "      <th>CVotes45AM</th>\n",
       "      <th>CVotes45AF</th>\n",
       "      <th>CVotes1000</th>\n",
       "      <th>CVotesUS</th>\n",
       "      <th>CVotesnUS</th>\n",
       "      <th>VotesM</th>\n",
       "      <th>VotesF</th>\n",
       "      <th>VotesU18</th>\n",
       "      <th>VotesU18M</th>\n",
       "      <th>VotesU18F</th>\n",
       "      <th>Votes1829</th>\n",
       "      <th>Votes1829M</th>\n",
       "      <th>Votes1829F</th>\n",
       "      <th>Votes3044</th>\n",
       "      <th>Votes3044M</th>\n",
       "      <th>Votes3044F</th>\n",
       "      <th>Votes45A</th>\n",
       "      <th>Votes45AM</th>\n",
       "      <th>Votes45AF</th>\n",
       "      <th>Votes1000</th>\n",
       "      <th>VotesUS</th>\n",
       "      <th>VotesnUS</th>\n",
       "      <th>content_rating</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Boyhood</td>\n",
       "      <td>2014</td>\n",
       "      <td>4</td>\n",
       "      <td>25</td>\n",
       "      <td>21</td>\n",
       "      <td>Ellar Coltrane</td>\n",
       "      <td>Lorelei Linklater</td>\n",
       "      <td>Libby Villari</td>\n",
       "      <td>230</td>\n",
       "      <td>193.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>Drama</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>165</td>\n",
       "      <td>49673</td>\n",
       "      <td>8.95</td>\n",
       "      <td>62055</td>\n",
       "      <td>76838</td>\n",
       "      <td>52238</td>\n",
       "      <td>23789</td>\n",
       "      <td>10431</td>\n",
       "      <td>4906</td>\n",
       "      <td>3071</td>\n",
       "      <td>2248</td>\n",
       "      <td>5086</td>\n",
       "      <td>183807</td>\n",
       "      <td>51558</td>\n",
       "      <td>1393</td>\n",
       "      <td>995</td>\n",
       "      <td>381</td>\n",
       "      <td>123006</td>\n",
       "      <td>92639</td>\n",
       "      <td>29076</td>\n",
       "      <td>81594</td>\n",
       "      <td>65261</td>\n",
       "      <td>15118</td>\n",
       "      <td>17881</td>\n",
       "      <td>13995</td>\n",
       "      <td>3567</td>\n",
       "      <td>559</td>\n",
       "      <td>36433</td>\n",
       "      <td>134679</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.7</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>R</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>12 Years a Slave</td>\n",
       "      <td>2013</td>\n",
       "      <td>20</td>\n",
       "      <td>56</td>\n",
       "      <td>36</td>\n",
       "      <td>QuvenzhanÃ© Wallis</td>\n",
       "      <td>Scoot McNairy</td>\n",
       "      <td>Taran Killam</td>\n",
       "      <td>2000</td>\n",
       "      <td>660.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Biography</td>\n",
       "      <td>Drama</td>\n",
       "      <td>History</td>\n",
       "      <td>9.6</td>\n",
       "      <td>134</td>\n",
       "      <td>75556</td>\n",
       "      <td>8.85</td>\n",
       "      <td>126223</td>\n",
       "      <td>161460</td>\n",
       "      <td>83070</td>\n",
       "      <td>27231</td>\n",
       "      <td>9603</td>\n",
       "      <td>4021</td>\n",
       "      <td>2420</td>\n",
       "      <td>1785</td>\n",
       "      <td>4739</td>\n",
       "      <td>313823</td>\n",
       "      <td>82012</td>\n",
       "      <td>1837</td>\n",
       "      <td>1363</td>\n",
       "      <td>457</td>\n",
       "      <td>200910</td>\n",
       "      <td>153669</td>\n",
       "      <td>45301</td>\n",
       "      <td>138762</td>\n",
       "      <td>112943</td>\n",
       "      <td>23895</td>\n",
       "      <td>29252</td>\n",
       "      <td>23072</td>\n",
       "      <td>5726</td>\n",
       "      <td>664</td>\n",
       "      <td>53328</td>\n",
       "      <td>224519</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.7</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>R</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Inside Out</td>\n",
       "      <td>2015</td>\n",
       "      <td>175</td>\n",
       "      <td>356</td>\n",
       "      <td>181</td>\n",
       "      <td>Amy Poehler</td>\n",
       "      <td>Mindy Kaling</td>\n",
       "      <td>Phyllis Smith</td>\n",
       "      <td>1000</td>\n",
       "      <td>767.0</td>\n",
       "      <td>384.0</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Animation</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>9.4</td>\n",
       "      <td>95</td>\n",
       "      <td>87509</td>\n",
       "      <td>8.80</td>\n",
       "      <td>113244</td>\n",
       "      <td>119801</td>\n",
       "      <td>67153</td>\n",
       "      <td>24210</td>\n",
       "      <td>8542</td>\n",
       "      <td>3349</td>\n",
       "      <td>1872</td>\n",
       "      <td>1123</td>\n",
       "      <td>3450</td>\n",
       "      <td>244433</td>\n",
       "      <td>79081</td>\n",
       "      <td>3361</td>\n",
       "      <td>2294</td>\n",
       "      <td>1040</td>\n",
       "      <td>170056</td>\n",
       "      <td>121574</td>\n",
       "      <td>46685</td>\n",
       "      <td>108560</td>\n",
       "      <td>86312</td>\n",
       "      <td>20516</td>\n",
       "      <td>18694</td>\n",
       "      <td>14910</td>\n",
       "      <td>3416</td>\n",
       "      <td>587</td>\n",
       "      <td>48297</td>\n",
       "      <td>176446</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.6</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.1</td>\n",
       "      <td>PG</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>La La Land</td>\n",
       "      <td>2016</td>\n",
       "      <td>30</td>\n",
       "      <td>151</td>\n",
       "      <td>121</td>\n",
       "      <td>Ryan Gosling</td>\n",
       "      <td>Emma Stone</td>\n",
       "      <td>Amiée Conn</td>\n",
       "      <td>14000</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Music</td>\n",
       "      <td>9.3</td>\n",
       "      <td>128</td>\n",
       "      <td>74245</td>\n",
       "      <td>8.75</td>\n",
       "      <td>71191</td>\n",
       "      <td>64640</td>\n",
       "      <td>38831</td>\n",
       "      <td>17377</td>\n",
       "      <td>8044</td>\n",
       "      <td>3998</td>\n",
       "      <td>2839</td>\n",
       "      <td>2407</td>\n",
       "      <td>6802</td>\n",
       "      <td>157693</td>\n",
       "      <td>56713</td>\n",
       "      <td>2675</td>\n",
       "      <td>1784</td>\n",
       "      <td>868</td>\n",
       "      <td>113008</td>\n",
       "      <td>78998</td>\n",
       "      <td>32730</td>\n",
       "      <td>66058</td>\n",
       "      <td>50835</td>\n",
       "      <td>14165</td>\n",
       "      <td>15765</td>\n",
       "      <td>12148</td>\n",
       "      <td>3302</td>\n",
       "      <td>454</td>\n",
       "      <td>33360</td>\n",
       "      <td>117987</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.9</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.7</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.1</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.1</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Manchester by the Sea</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>47</td>\n",
       "      <td>38</td>\n",
       "      <td>Casey Affleck</td>\n",
       "      <td>Michelle Williams</td>\n",
       "      <td>Kyle Chandler</td>\n",
       "      <td>518</td>\n",
       "      <td>71000.0</td>\n",
       "      <td>3300.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>Drama</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.6</td>\n",
       "      <td>137</td>\n",
       "      <td>18191</td>\n",
       "      <td>8.75</td>\n",
       "      <td>33532</td>\n",
       "      <td>46596</td>\n",
       "      <td>29626</td>\n",
       "      <td>11879</td>\n",
       "      <td>4539</td>\n",
       "      <td>1976</td>\n",
       "      <td>1233</td>\n",
       "      <td>888</td>\n",
       "      <td>1834</td>\n",
       "      <td>92452</td>\n",
       "      <td>22834</td>\n",
       "      <td>855</td>\n",
       "      <td>681</td>\n",
       "      <td>166</td>\n",
       "      <td>55475</td>\n",
       "      <td>43467</td>\n",
       "      <td>11378</td>\n",
       "      <td>40645</td>\n",
       "      <td>32983</td>\n",
       "      <td>7053</td>\n",
       "      <td>11361</td>\n",
       "      <td>8862</td>\n",
       "      <td>2306</td>\n",
       "      <td>402</td>\n",
       "      <td>20287</td>\n",
       "      <td>65837</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.7</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.8</td>\n",
       "      <td>R</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Title  title_year  budget  Gross  Profit  \\\n",
       "69                Boyhood        2014       4     25      21   \n",
       "51       12 Years a Slave        2013      20     56      36   \n",
       "9              Inside Out        2015     175    356     181   \n",
       "20             La La Land        2016      30    151     121   \n",
       "49  Manchester by the Sea        2016       9     47      38   \n",
       "\n",
       "          actor_1_name        actor_2_name   actor_3_name  \\\n",
       "69      Ellar Coltrane   Lorelei Linklater  Libby Villari   \n",
       "51  QuvenzhanÃ© Wallis       Scoot McNairy   Taran Killam   \n",
       "9          Amy Poehler        Mindy Kaling  Phyllis Smith   \n",
       "20        Ryan Gosling          Emma Stone     Amiée Conn   \n",
       "49       Casey Affleck  Michelle Williams   Kyle Chandler   \n",
       "\n",
       "    actor_1_facebook_likes  actor_2_facebook_likes  actor_3_facebook_likes  \\\n",
       "69                     230                   193.0                   127.0   \n",
       "51                    2000                   660.0                   500.0   \n",
       "9                     1000                   767.0                   384.0   \n",
       "20                   14000                 19000.0                     NaN   \n",
       "49                     518                 71000.0                  3300.0   \n",
       "\n",
       "    IMDb_rating    genre_1    genre_2  genre_3  MetaCritic  Runtime  CVotes10  \\\n",
       "69          7.9      Drama        NaN      NaN        10.0      165     49673   \n",
       "51          8.1  Biography      Drama  History         9.6      134     75556   \n",
       "9           8.2  Animation  Adventure   Comedy         9.4       95     87509   \n",
       "20          8.2     Comedy      Drama    Music         9.3      128     74245   \n",
       "49          7.9      Drama        NaN      NaN         9.6      137     18191   \n",
       "\n",
       "    Avg_rating  CVotes09  CVotes08  CVotes07  CVotes06  CVotes05  CVotes04  \\\n",
       "69        8.95     62055     76838     52238     23789     10431      4906   \n",
       "51        8.85    126223    161460     83070     27231      9603      4021   \n",
       "9         8.80    113244    119801     67153     24210      8542      3349   \n",
       "20        8.75     71191     64640     38831     17377      8044      3998   \n",
       "49        8.75     33532     46596     29626     11879      4539      1976   \n",
       "\n",
       "    CVotes03  CVotes02  CVotes01  CVotesMale  CVotesFemale  CVotesU18  \\\n",
       "69      3071      2248      5086      183807         51558       1393   \n",
       "51      2420      1785      4739      313823         82012       1837   \n",
       "9       1872      1123      3450      244433         79081       3361   \n",
       "20      2839      2407      6802      157693         56713       2675   \n",
       "49      1233       888      1834       92452         22834        855   \n",
       "\n",
       "    CVotesU18M  CVotesU18F  CVotes1829  CVotes1829M  CVotes1829F  CVotes3044  \\\n",
       "69         995         381      123006        92639        29076       81594   \n",
       "51        1363         457      200910       153669        45301      138762   \n",
       "9         2294        1040      170056       121574        46685      108560   \n",
       "20        1784         868      113008        78998        32730       66058   \n",
       "49         681         166       55475        43467        11378       40645   \n",
       "\n",
       "    CVotes3044M  CVotes3044F  CVotes45A  CVotes45AM  CVotes45AF  CVotes1000  \\\n",
       "69        65261        15118      17881       13995        3567         559   \n",
       "51       112943        23895      29252       23072        5726         664   \n",
       "9         86312        20516      18694       14910        3416         587   \n",
       "20        50835        14165      15765       12148        3302         454   \n",
       "49        32983         7053      11361        8862        2306         402   \n",
       "\n",
       "    CVotesUS  CVotesnUS  VotesM  VotesF  VotesU18  VotesU18M  VotesU18F  \\\n",
       "69     36433     134679     8.0     7.7       8.1        8.1        8.0   \n",
       "51     53328     224519     8.1     8.1       8.4        8.4        8.5   \n",
       "9      48297     176446     8.2     8.2       8.4        8.4        8.3   \n",
       "20     33360     117987     8.2     8.1       8.9        9.0        8.7   \n",
       "49     20287      65837     7.9     7.7       8.5        8.5        8.1   \n",
       "\n",
       "    Votes1829  Votes1829M  Votes1829F  Votes3044  Votes3044M  Votes3044F  \\\n",
       "69        8.1         8.1         7.8        7.8         7.8         7.6   \n",
       "51        8.2         8.2         8.2        8.0         7.9         8.0   \n",
       "9         8.3         8.3         8.3        8.1         8.1         8.1   \n",
       "20        8.4         8.4         8.2        7.9         7.9         7.8   \n",
       "49        8.0         8.1         7.8        7.7         7.7         7.7   \n",
       "\n",
       "    Votes45A  Votes45AM  Votes45AF  Votes1000  VotesUS  VotesnUS  \\\n",
       "69       7.7        7.7        7.7        7.2      8.0       7.9   \n",
       "51       7.8        7.8        8.1        7.7      8.3       8.0   \n",
       "9        7.9        7.9        7.9        7.6      8.2       8.1   \n",
       "20       7.6        7.6        7.5        7.1      8.3       8.1   \n",
       "49       7.6        7.6        7.6        7.1      7.9       7.8   \n",
       "\n",
       "   content_rating Country  \n",
       "69              R     USA  \n",
       "51              R     USA  \n",
       "9              PG     USA  \n",
       "20          PG-13     USA  \n",
       "49              R     USA  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f9caaf6",
   "metadata": {},
   "source": [
    "- Podemos utilizar outro critério, como por exemplo, os filmes que tiveram valores alto em ambas as colunas de *IMDb_rating* e *MetaCritic*, ou seja que tiveram a crítica mais consistente"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "58dee5e9",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-19-745fc4177691>:5: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  UniversalAcclaim[(abs(movies['MetaCritic']-movies['IMDb_rating']) < 0.5) & (movies['Avg_rating'] >= 8)].sort_index()[0:5]\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Title</th>\n",
       "      <th>title_year</th>\n",
       "      <th>budget</th>\n",
       "      <th>Gross</th>\n",
       "      <th>Profit</th>\n",
       "      <th>actor_1_name</th>\n",
       "      <th>actor_2_name</th>\n",
       "      <th>actor_3_name</th>\n",
       "      <th>actor_1_facebook_likes</th>\n",
       "      <th>actor_2_facebook_likes</th>\n",
       "      <th>actor_3_facebook_likes</th>\n",
       "      <th>IMDb_rating</th>\n",
       "      <th>genre_1</th>\n",
       "      <th>genre_2</th>\n",
       "      <th>genre_3</th>\n",
       "      <th>MetaCritic</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>CVotes10</th>\n",
       "      <th>Avg_rating</th>\n",
       "      <th>CVotes09</th>\n",
       "      <th>CVotes08</th>\n",
       "      <th>CVotes07</th>\n",
       "      <th>CVotes06</th>\n",
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       "      <th>CVotes03</th>\n",
       "      <th>CVotes02</th>\n",
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       "      <th>CVotesU18F</th>\n",
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       "      <th>CVotes1829M</th>\n",
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       "      <th>CVotes45AM</th>\n",
       "      <th>CVotes45AF</th>\n",
       "      <th>CVotes1000</th>\n",
       "      <th>CVotesUS</th>\n",
       "      <th>CVotesnUS</th>\n",
       "      <th>VotesM</th>\n",
       "      <th>VotesF</th>\n",
       "      <th>VotesU18</th>\n",
       "      <th>VotesU18M</th>\n",
       "      <th>VotesU18F</th>\n",
       "      <th>Votes1829</th>\n",
       "      <th>Votes1829M</th>\n",
       "      <th>Votes1829F</th>\n",
       "      <th>Votes3044</th>\n",
       "      <th>Votes3044M</th>\n",
       "      <th>Votes3044F</th>\n",
       "      <th>Votes45A</th>\n",
       "      <th>Votes45AM</th>\n",
       "      <th>Votes45AF</th>\n",
       "      <th>Votes1000</th>\n",
       "      <th>VotesUS</th>\n",
       "      <th>VotesnUS</th>\n",
       "      <th>content_rating</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Star Wars: Episode VII - The Force Awakens</td>\n",
       "      <td>2015</td>\n",
       "      <td>245</td>\n",
       "      <td>936</td>\n",
       "      <td>691</td>\n",
       "      <td>Doug Walker</td>\n",
       "      <td>Rob Walker</td>\n",
       "      <td>0</td>\n",
       "      <td>131</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Fantasy</td>\n",
       "      <td>8.1</td>\n",
       "      <td>136</td>\n",
       "      <td>155391</td>\n",
       "      <td>8.10</td>\n",
       "      <td>161810</td>\n",
       "      <td>166378</td>\n",
       "      <td>99402</td>\n",
       "      <td>40734</td>\n",
       "      <td>18060</td>\n",
       "      <td>8751</td>\n",
       "      <td>5970</td>\n",
       "      <td>4489</td>\n",
       "      <td>15768</td>\n",
       "      <td>425971</td>\n",
       "      <td>68664</td>\n",
       "      <td>4722</td>\n",
       "      <td>3919</td>\n",
       "      <td>768</td>\n",
       "      <td>220467</td>\n",
       "      <td>183671</td>\n",
       "      <td>34366</td>\n",
       "      <td>187138</td>\n",
       "      <td>162918</td>\n",
       "      <td>21362</td>\n",
       "      <td>42942</td>\n",
       "      <td>36441</td>\n",
       "      <td>5729</td>\n",
       "      <td>712</td>\n",
       "      <td>85141</td>\n",
       "      <td>250769</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.7</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.9</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>The Martian</td>\n",
       "      <td>2015</td>\n",
       "      <td>108</td>\n",
       "      <td>228</td>\n",
       "      <td>120</td>\n",
       "      <td>Matt Damon</td>\n",
       "      <td>Donald Glover</td>\n",
       "      <td>Benedict Wong</td>\n",
       "      <td>13000</td>\n",
       "      <td>801.0</td>\n",
       "      <td>372.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>8.0</td>\n",
       "      <td>144</td>\n",
       "      <td>75560</td>\n",
       "      <td>8.00</td>\n",
       "      <td>139593</td>\n",
       "      <td>200315</td>\n",
       "      <td>102723</td>\n",
       "      <td>31179</td>\n",
       "      <td>9930</td>\n",
       "      <td>3815</td>\n",
       "      <td>2046</td>\n",
       "      <td>1316</td>\n",
       "      <td>2907</td>\n",
       "      <td>359265</td>\n",
       "      <td>71421</td>\n",
       "      <td>3206</td>\n",
       "      <td>2543</td>\n",
       "      <td>638</td>\n",
       "      <td>200653</td>\n",
       "      <td>161765</td>\n",
       "      <td>36790</td>\n",
       "      <td>161073</td>\n",
       "      <td>136425</td>\n",
       "      <td>22228</td>\n",
       "      <td>35406</td>\n",
       "      <td>29354</td>\n",
       "      <td>5409</td>\n",
       "      <td>671</td>\n",
       "      <td>61128</td>\n",
       "      <td>239125</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.9</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Gone Girl</td>\n",
       "      <td>2014</td>\n",
       "      <td>61</td>\n",
       "      <td>167</td>\n",
       "      <td>106</td>\n",
       "      <td>Patrick Fugit</td>\n",
       "      <td>Sela Ward</td>\n",
       "      <td>Emily Ratajkowski</td>\n",
       "      <td>835</td>\n",
       "      <td>812.0</td>\n",
       "      <td>625.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Crime</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>7.9</td>\n",
       "      <td>149</td>\n",
       "      <td>89539</td>\n",
       "      <td>8.00</td>\n",
       "      <td>177373</td>\n",
       "      <td>218018</td>\n",
       "      <td>103600</td>\n",
       "      <td>32989</td>\n",
       "      <td>11691</td>\n",
       "      <td>5285</td>\n",
       "      <td>3262</td>\n",
       "      <td>2247</td>\n",
       "      <td>5500</td>\n",
       "      <td>397571</td>\n",
       "      <td>113606</td>\n",
       "      <td>2286</td>\n",
       "      <td>1598</td>\n",
       "      <td>665</td>\n",
       "      <td>260425</td>\n",
       "      <td>193602</td>\n",
       "      <td>64291</td>\n",
       "      <td>179552</td>\n",
       "      <td>144771</td>\n",
       "      <td>32133</td>\n",
       "      <td>34696</td>\n",
       "      <td>27226</td>\n",
       "      <td>6840</td>\n",
       "      <td>689</td>\n",
       "      <td>70667</td>\n",
       "      <td>280587</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.9</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.6</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>R</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Django Unchained</td>\n",
       "      <td>2012</td>\n",
       "      <td>100</td>\n",
       "      <td>162</td>\n",
       "      <td>62</td>\n",
       "      <td>Leonardo DiCaprio</td>\n",
       "      <td>Christoph Waltz</td>\n",
       "      <td>Ato Essandoh</td>\n",
       "      <td>29000</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>265.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Western</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.1</td>\n",
       "      <td>165</td>\n",
       "      <td>234824</td>\n",
       "      <td>8.25</td>\n",
       "      <td>339329</td>\n",
       "      <td>286911</td>\n",
       "      <td>121445</td>\n",
       "      <td>38251</td>\n",
       "      <td>14227</td>\n",
       "      <td>6469</td>\n",
       "      <td>4149</td>\n",
       "      <td>3181</td>\n",
       "      <td>8065</td>\n",
       "      <td>695211</td>\n",
       "      <td>139226</td>\n",
       "      <td>3250</td>\n",
       "      <td>2726</td>\n",
       "      <td>501</td>\n",
       "      <td>410538</td>\n",
       "      <td>332690</td>\n",
       "      <td>74006</td>\n",
       "      <td>301231</td>\n",
       "      <td>253253</td>\n",
       "      <td>43774</td>\n",
       "      <td>57463</td>\n",
       "      <td>47535</td>\n",
       "      <td>8962</td>\n",
       "      <td>816</td>\n",
       "      <td>123423</td>\n",
       "      <td>448126</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.8</td>\n",
       "      <td>8.9</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>R</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Arrival</td>\n",
       "      <td>2016</td>\n",
       "      <td>47</td>\n",
       "      <td>100</td>\n",
       "      <td>53</td>\n",
       "      <td>Amy Adams</td>\n",
       "      <td>Jeremy Renner</td>\n",
       "      <td>Forest Whitaker</td>\n",
       "      <td>35000</td>\n",
       "      <td>5300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>8.1</td>\n",
       "      <td>116</td>\n",
       "      <td>55533</td>\n",
       "      <td>8.05</td>\n",
       "      <td>87850</td>\n",
       "      <td>109536</td>\n",
       "      <td>65440</td>\n",
       "      <td>26913</td>\n",
       "      <td>10556</td>\n",
       "      <td>5057</td>\n",
       "      <td>3083</td>\n",
       "      <td>2194</td>\n",
       "      <td>4734</td>\n",
       "      <td>237437</td>\n",
       "      <td>46272</td>\n",
       "      <td>1943</td>\n",
       "      <td>1544</td>\n",
       "      <td>376</td>\n",
       "      <td>126301</td>\n",
       "      <td>101741</td>\n",
       "      <td>23163</td>\n",
       "      <td>111985</td>\n",
       "      <td>95005</td>\n",
       "      <td>15227</td>\n",
       "      <td>24027</td>\n",
       "      <td>20118</td>\n",
       "      <td>3440</td>\n",
       "      <td>537</td>\n",
       "      <td>42062</td>\n",
       "      <td>163774</td>\n",
       "      <td>7.9</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Title  title_year  budget  Gross  \\\n",
       "0   Star Wars: Episode VII - The Force Awakens        2015     245    936   \n",
       "21                                 The Martian        2015     108    228   \n",
       "24                                   Gone Girl        2014      61    167   \n",
       "36                            Django Unchained        2012     100    162   \n",
       "40                                     Arrival        2016      47    100   \n",
       "\n",
       "    Profit       actor_1_name     actor_2_name       actor_3_name  \\\n",
       "0      691        Doug Walker       Rob Walker                  0   \n",
       "21     120         Matt Damon    Donald Glover      Benedict Wong   \n",
       "24     106      Patrick Fugit        Sela Ward  Emily Ratajkowski   \n",
       "36      62  Leonardo DiCaprio  Christoph Waltz       Ato Essandoh   \n",
       "40      53          Amy Adams    Jeremy Renner    Forest Whitaker   \n",
       "\n",
       "    actor_1_facebook_likes  actor_2_facebook_likes  actor_3_facebook_likes  \\\n",
       "0                      131                    12.0                     0.0   \n",
       "21                   13000                   801.0                   372.0   \n",
       "24                     835                   812.0                   625.0   \n",
       "36                   29000                 11000.0                   265.0   \n",
       "40                   35000                  5300.0                     NaN   \n",
       "\n",
       "    IMDb_rating    genre_1    genre_2  genre_3  MetaCritic  Runtime  CVotes10  \\\n",
       "0           8.1     Action  Adventure  Fantasy         8.1      136    155391   \n",
       "21          8.0  Adventure      Drama   Sci-Fi         8.0      144     75560   \n",
       "24          8.1      Crime      Drama  Mystery         7.9      149     89539   \n",
       "36          8.4      Drama    Western      NaN         8.1      165    234824   \n",
       "40          8.0      Drama    Mystery   Sci-Fi         8.1      116     55533   \n",
       "\n",
       "    Avg_rating  CVotes09  CVotes08  CVotes07  CVotes06  CVotes05  CVotes04  \\\n",
       "0         8.10    161810    166378     99402     40734     18060      8751   \n",
       "21        8.00    139593    200315    102723     31179      9930      3815   \n",
       "24        8.00    177373    218018    103600     32989     11691      5285   \n",
       "36        8.25    339329    286911    121445     38251     14227      6469   \n",
       "40        8.05     87850    109536     65440     26913     10556      5057   \n",
       "\n",
       "    CVotes03  CVotes02  CVotes01  CVotesMale  CVotesFemale  CVotesU18  \\\n",
       "0       5970      4489     15768      425971         68664       4722   \n",
       "21      2046      1316      2907      359265         71421       3206   \n",
       "24      3262      2247      5500      397571        113606       2286   \n",
       "36      4149      3181      8065      695211        139226       3250   \n",
       "40      3083      2194      4734      237437         46272       1943   \n",
       "\n",
       "    CVotesU18M  CVotesU18F  CVotes1829  CVotes1829M  CVotes1829F  CVotes3044  \\\n",
       "0         3919         768      220467       183671        34366      187138   \n",
       "21        2543         638      200653       161765        36790      161073   \n",
       "24        1598         665      260425       193602        64291      179552   \n",
       "36        2726         501      410538       332690        74006      301231   \n",
       "40        1544         376      126301       101741        23163      111985   \n",
       "\n",
       "    CVotes3044M  CVotes3044F  CVotes45A  CVotes45AM  CVotes45AF  CVotes1000  \\\n",
       "0        162918        21362      42942       36441        5729         712   \n",
       "21       136425        22228      35406       29354        5409         671   \n",
       "24       144771        32133      34696       27226        6840         689   \n",
       "36       253253        43774      57463       47535        8962         816   \n",
       "40        95005        15227      24027       20118        3440         537   \n",
       "\n",
       "    CVotesUS  CVotesnUS  VotesM  VotesF  VotesU18  VotesU18M  VotesU18F  \\\n",
       "0      85141     250769     8.0     8.3       8.5        8.5        8.6   \n",
       "21     61128     239125     8.0     8.1       8.4        8.4        8.5   \n",
       "24     70667     280587     8.1     8.1       8.5        8.6        8.4   \n",
       "36    123423     448126     8.4     8.4       8.8        8.9        8.5   \n",
       "40     42062     163774     7.9     8.0       8.6        8.6        8.4   \n",
       "\n",
       "    Votes1829  Votes1829M  Votes1829F  Votes3044  Votes3044M  Votes3044F  \\\n",
       "0         8.2         8.2         8.3        8.0         7.9         8.2   \n",
       "21        8.1         8.1         8.1        7.9         7.9         7.9   \n",
       "24        8.3         8.3         8.2        7.9         8.0         7.9   \n",
       "36        8.6         8.6         8.5        8.3         8.3         8.3   \n",
       "40        8.2         8.2         8.1        7.8         7.8         7.8   \n",
       "\n",
       "    Votes45A  Votes45AM  Votes45AF  Votes1000  VotesUS  VotesnUS  \\\n",
       "0        7.9        7.8        8.2        7.7      8.2       7.9   \n",
       "21       8.0        7.9        8.2        7.8      8.1       7.9   \n",
       "24       7.7        7.7        7.7        7.6      8.1       8.1   \n",
       "36       8.0        8.0        8.1        7.8      8.4       8.4   \n",
       "40       7.6        7.6        7.7        7.3      8.0       7.9   \n",
       "\n",
       "   content_rating Country  \n",
       "0           PG-13     USA  \n",
       "21          PG-13     USA  \n",
       "24              R     USA  \n",
       "36              R     USA  \n",
       "40          PG-13     USA  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Pegando os filmes que tiveram uma diferença absoluta menor que 0.5\n",
    "UniversalAcclaim = movies[abs(movies['MetaCritic'] - movies['IMDb_rating']) < 0.5]\n",
    "\n",
    "# Selecionando os filmes com uma diferença absoluta menor que 0.5 e média de pontuação maior que 8\n",
    "UniversalAcclaim[(abs(movies['MetaCritic']-movies['IMDb_rating']) < 0.5) & (movies['Avg_rating'] >= 8)].sort_index()[0:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71cd4e17",
   "metadata": {},
   "source": [
    "- Ainda com os filmes do conjunto de dados com valores consistentes vamos ordená-los pelos filmes que tiveram maior média de crítica"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "cc9ba2f4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-20-636962fb530c>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  UniversalAcclaim.sort_values(by='Avg_rating', ascending=False, inplace=True)\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Title</th>\n",
       "      <th>title_year</th>\n",
       "      <th>budget</th>\n",
       "      <th>Gross</th>\n",
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       "      <th>Votes1829M</th>\n",
       "      <th>Votes1829F</th>\n",
       "      <th>Votes3044</th>\n",
       "      <th>Votes3044M</th>\n",
       "      <th>Votes3044F</th>\n",
       "      <th>Votes45A</th>\n",
       "      <th>Votes45AM</th>\n",
       "      <th>Votes45AF</th>\n",
       "      <th>Votes1000</th>\n",
       "      <th>VotesUS</th>\n",
       "      <th>VotesnUS</th>\n",
       "      <th>content_rating</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Whiplash</td>\n",
       "      <td>2014</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>J.K. Simmons</td>\n",
       "      <td>Melissa Benoist</td>\n",
       "      <td>Chris Mulkey</td>\n",
       "      <td>24000</td>\n",
       "      <td>970.0</td>\n",
       "      <td>535.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Music</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.8</td>\n",
       "      <td>107</td>\n",
       "      <td>110404</td>\n",
       "      <td>8.65</td>\n",
       "      <td>161864</td>\n",
       "      <td>132656</td>\n",
       "      <td>56007</td>\n",
       "      <td>16577</td>\n",
       "      <td>6031</td>\n",
       "      <td>2937</td>\n",
       "      <td>1859</td>\n",
       "      <td>1263</td>\n",
       "      <td>2723</td>\n",
       "      <td>308900</td>\n",
       "      <td>71066</td>\n",
       "      <td>2878</td>\n",
       "      <td>2200</td>\n",
       "      <td>660</td>\n",
       "      <td>205839</td>\n",
       "      <td>161853</td>\n",
       "      <td>41944</td>\n",
       "      <td>123712</td>\n",
       "      <td>102839</td>\n",
       "      <td>19018</td>\n",
       "      <td>23345</td>\n",
       "      <td>19072</td>\n",
       "      <td>3812</td>\n",
       "      <td>590</td>\n",
       "      <td>49868</td>\n",
       "      <td>213952</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.4</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.1</td>\n",
       "      <td>8.9</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.7</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.4</td>\n",
       "      <td>R</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Django Unchained</td>\n",
       "      <td>2012</td>\n",
       "      <td>100</td>\n",
       "      <td>162</td>\n",
       "      <td>62</td>\n",
       "      <td>Leonardo DiCaprio</td>\n",
       "      <td>Christoph Waltz</td>\n",
       "      <td>Ato Essandoh</td>\n",
       "      <td>29000</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>265.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Western</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.1</td>\n",
       "      <td>165</td>\n",
       "      <td>234824</td>\n",
       "      <td>8.25</td>\n",
       "      <td>339329</td>\n",
       "      <td>286911</td>\n",
       "      <td>121445</td>\n",
       "      <td>38251</td>\n",
       "      <td>14227</td>\n",
       "      <td>6469</td>\n",
       "      <td>4149</td>\n",
       "      <td>3181</td>\n",
       "      <td>8065</td>\n",
       "      <td>695211</td>\n",
       "      <td>139226</td>\n",
       "      <td>3250</td>\n",
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       "      <td>501</td>\n",
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       "      <td>43774</td>\n",
       "      <td>57463</td>\n",
       "      <td>47535</td>\n",
       "      <td>8962</td>\n",
       "      <td>816</td>\n",
       "      <td>123423</td>\n",
       "      <td>448126</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.8</td>\n",
       "      <td>8.9</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>R</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Dallas Buyers Club</td>\n",
       "      <td>2013</td>\n",
       "      <td>5</td>\n",
       "      <td>27</td>\n",
       "      <td>22</td>\n",
       "      <td>Matthew McConaughey</td>\n",
       "      <td>Jennifer Garner</td>\n",
       "      <td>Denis O'Hare</td>\n",
       "      <td>11000</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>896.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Biography</td>\n",
       "      <td>Drama</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.4</td>\n",
       "      <td>117</td>\n",
       "      <td>37544</td>\n",
       "      <td>8.20</td>\n",
       "      <td>82276</td>\n",
       "      <td>145488</td>\n",
       "      <td>66156</td>\n",
       "      <td>16777</td>\n",
       "      <td>4582</td>\n",
       "      <td>1721</td>\n",
       "      <td>870</td>\n",
       "      <td>654</td>\n",
       "      <td>1588</td>\n",
       "      <td>231258</td>\n",
       "      <td>63266</td>\n",
       "      <td>864</td>\n",
       "      <td>650</td>\n",
       "      <td>205</td>\n",
       "      <td>145018</td>\n",
       "      <td>110493</td>\n",
       "      <td>32974</td>\n",
       "      <td>110555</td>\n",
       "      <td>88233</td>\n",
       "      <td>20687</td>\n",
       "      <td>22093</td>\n",
       "      <td>16963</td>\n",
       "      <td>4743</td>\n",
       "      <td>598</td>\n",
       "      <td>42222</td>\n",
       "      <td>173002</td>\n",
       "      <td>7.9</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>R</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Star Wars: Episode VII - The Force Awakens</td>\n",
       "      <td>2015</td>\n",
       "      <td>245</td>\n",
       "      <td>936</td>\n",
       "      <td>691</td>\n",
       "      <td>Doug Walker</td>\n",
       "      <td>Rob Walker</td>\n",
       "      <td>0</td>\n",
       "      <td>131</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Fantasy</td>\n",
       "      <td>8.1</td>\n",
       "      <td>136</td>\n",
       "      <td>155391</td>\n",
       "      <td>8.10</td>\n",
       "      <td>161810</td>\n",
       "      <td>166378</td>\n",
       "      <td>99402</td>\n",
       "      <td>40734</td>\n",
       "      <td>18060</td>\n",
       "      <td>8751</td>\n",
       "      <td>5970</td>\n",
       "      <td>4489</td>\n",
       "      <td>15768</td>\n",
       "      <td>425971</td>\n",
       "      <td>68664</td>\n",
       "      <td>4722</td>\n",
       "      <td>3919</td>\n",
       "      <td>768</td>\n",
       "      <td>220467</td>\n",
       "      <td>183671</td>\n",
       "      <td>34366</td>\n",
       "      <td>187138</td>\n",
       "      <td>162918</td>\n",
       "      <td>21362</td>\n",
       "      <td>42942</td>\n",
       "      <td>36441</td>\n",
       "      <td>5729</td>\n",
       "      <td>712</td>\n",
       "      <td>85141</td>\n",
       "      <td>250769</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.7</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.9</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Arrival</td>\n",
       "      <td>2016</td>\n",
       "      <td>47</td>\n",
       "      <td>100</td>\n",
       "      <td>53</td>\n",
       "      <td>Amy Adams</td>\n",
       "      <td>Jeremy Renner</td>\n",
       "      <td>Forest Whitaker</td>\n",
       "      <td>35000</td>\n",
       "      <td>5300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>8.1</td>\n",
       "      <td>116</td>\n",
       "      <td>55533</td>\n",
       "      <td>8.05</td>\n",
       "      <td>87850</td>\n",
       "      <td>109536</td>\n",
       "      <td>65440</td>\n",
       "      <td>26913</td>\n",
       "      <td>10556</td>\n",
       "      <td>5057</td>\n",
       "      <td>3083</td>\n",
       "      <td>2194</td>\n",
       "      <td>4734</td>\n",
       "      <td>237437</td>\n",
       "      <td>46272</td>\n",
       "      <td>1943</td>\n",
       "      <td>1544</td>\n",
       "      <td>376</td>\n",
       "      <td>126301</td>\n",
       "      <td>101741</td>\n",
       "      <td>23163</td>\n",
       "      <td>111985</td>\n",
       "      <td>95005</td>\n",
       "      <td>15227</td>\n",
       "      <td>24027</td>\n",
       "      <td>20118</td>\n",
       "      <td>3440</td>\n",
       "      <td>537</td>\n",
       "      <td>42062</td>\n",
       "      <td>163774</td>\n",
       "      <td>7.9</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Title  title_year  budget  Gross  \\\n",
       "0                                    Whiplash        2014       3     13   \n",
       "1                            Django Unchained        2012     100    162   \n",
       "2                          Dallas Buyers Club        2013       5     27   \n",
       "3  Star Wars: Episode VII - The Force Awakens        2015     245    936   \n",
       "4                                     Arrival        2016      47    100   \n",
       "\n",
       "   Profit         actor_1_name     actor_2_name     actor_3_name  \\\n",
       "0      10         J.K. Simmons  Melissa Benoist     Chris Mulkey   \n",
       "1      62    Leonardo DiCaprio  Christoph Waltz     Ato Essandoh   \n",
       "2      22  Matthew McConaughey  Jennifer Garner     Denis O'Hare   \n",
       "3     691          Doug Walker       Rob Walker                0   \n",
       "4      53            Amy Adams    Jeremy Renner  Forest Whitaker   \n",
       "\n",
       "   actor_1_facebook_likes  actor_2_facebook_likes  actor_3_facebook_likes  \\\n",
       "0                   24000                   970.0                   535.0   \n",
       "1                   29000                 11000.0                   265.0   \n",
       "2                   11000                  3000.0                   896.0   \n",
       "3                     131                    12.0                     0.0   \n",
       "4                   35000                  5300.0                     NaN   \n",
       "\n",
       "   IMDb_rating    genre_1    genre_2  genre_3  MetaCritic  Runtime  CVotes10  \\\n",
       "0          8.5      Drama      Music      NaN         8.8      107    110404   \n",
       "1          8.4      Drama    Western      NaN         8.1      165    234824   \n",
       "2          8.0  Biography      Drama      NaN         8.4      117     37544   \n",
       "3          8.1     Action  Adventure  Fantasy         8.1      136    155391   \n",
       "4          8.0      Drama    Mystery   Sci-Fi         8.1      116     55533   \n",
       "\n",
       "   Avg_rating  CVotes09  CVotes08  CVotes07  CVotes06  CVotes05  CVotes04  \\\n",
       "0        8.65    161864    132656     56007     16577      6031      2937   \n",
       "1        8.25    339329    286911    121445     38251     14227      6469   \n",
       "2        8.20     82276    145488     66156     16777      4582      1721   \n",
       "3        8.10    161810    166378     99402     40734     18060      8751   \n",
       "4        8.05     87850    109536     65440     26913     10556      5057   \n",
       "\n",
       "   CVotes03  CVotes02  CVotes01  CVotesMale  CVotesFemale  CVotesU18  \\\n",
       "0      1859      1263      2723      308900         71066       2878   \n",
       "1      4149      3181      8065      695211        139226       3250   \n",
       "2       870       654      1588      231258         63266        864   \n",
       "3      5970      4489     15768      425971         68664       4722   \n",
       "4      3083      2194      4734      237437         46272       1943   \n",
       "\n",
       "   CVotesU18M  CVotesU18F  CVotes1829  CVotes1829M  CVotes1829F  CVotes3044  \\\n",
       "0        2200         660      205839       161853        41944      123712   \n",
       "1        2726         501      410538       332690        74006      301231   \n",
       "2         650         205      145018       110493        32974      110555   \n",
       "3        3919         768      220467       183671        34366      187138   \n",
       "4        1544         376      126301       101741        23163      111985   \n",
       "\n",
       "   CVotes3044M  CVotes3044F  CVotes45A  CVotes45AM  CVotes45AF  CVotes1000  \\\n",
       "0       102839        19018      23345       19072        3812         590   \n",
       "1       253253        43774      57463       47535        8962         816   \n",
       "2        88233        20687      22093       16963        4743         598   \n",
       "3       162918        21362      42942       36441        5729         712   \n",
       "4        95005        15227      24027       20118        3440         537   \n",
       "\n",
       "   CVotesUS  CVotesnUS  VotesM  VotesF  VotesU18  VotesU18M  VotesU18F  \\\n",
       "0     49868     213952     8.5     8.4       9.0        9.1        8.9   \n",
       "1    123423     448126     8.4     8.4       8.8        8.9        8.5   \n",
       "2     42222     173002     7.9     8.1       8.2        8.2        8.1   \n",
       "3     85141     250769     8.0     8.3       8.5        8.5        8.6   \n",
       "4     42062     163774     7.9     8.0       8.6        8.6        8.4   \n",
       "\n",
       "   Votes1829  Votes1829M  Votes1829F  Votes3044  Votes3044M  Votes3044F  \\\n",
       "0        8.6         8.7         8.5        8.3         8.3         8.2   \n",
       "1        8.6         8.6         8.5        8.3         8.3         8.3   \n",
       "2        8.1         8.1         8.1        7.8         7.8         8.0   \n",
       "3        8.2         8.2         8.3        8.0         7.9         8.2   \n",
       "4        8.2         8.2         8.1        7.8         7.8         7.8   \n",
       "\n",
       "   Votes45A  Votes45AM  Votes45AF  Votes1000  VotesUS  VotesnUS  \\\n",
       "0       8.1        8.1        8.2        8.0      8.6       8.4   \n",
       "1       8.0        8.0        8.1        7.8      8.4       8.4   \n",
       "2       7.8        7.8        8.0        7.2      8.0       7.9   \n",
       "3       7.9        7.8        8.2        7.7      8.2       7.9   \n",
       "4       7.6        7.6        7.7        7.3      8.0       7.9   \n",
       "\n",
       "  content_rating Country  \n",
       "0              R     USA  \n",
       "1              R     USA  \n",
       "2              R     USA  \n",
       "3          PG-13     USA  \n",
       "4          PG-13     USA  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "UniversalAcclaim.sort_values(by='Avg_rating', ascending=False, inplace=True)\n",
    "UniversalAcclaim.reset_index(drop=True, inplace=True)\n",
    "UniversalAcclaim[0:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4682549",
   "metadata": {},
   "source": [
    "### Quais elencos tiveram mais popularidade combinado?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a38087f",
   "metadata": {},
   "source": [
    "- Agora vamos identificar os top5 trio de atores que tiveram mais popularidade combinado, para isso vamos utilizar como métrica os *likes* do *Facebook*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "fb8f3e55",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies.insert(11, column='Popularity', value=movies.loc[:,['actor_1_facebook_likes',\n",
    "                                                           'actor_2_facebook_likes',\n",
    "                                                           'actor_3_facebook_likes']].sum(axis=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f8048d1a",
   "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>Title</th>\n",
       "      <th>title_year</th>\n",
       "      <th>budget</th>\n",
       "      <th>Gross</th>\n",
       "      <th>Profit</th>\n",
       "      <th>actor_1_name</th>\n",
       "      <th>actor_2_name</th>\n",
       "      <th>actor_3_name</th>\n",
       "      <th>actor_1_facebook_likes</th>\n",
       "      <th>actor_2_facebook_likes</th>\n",
       "      <th>actor_3_facebook_likes</th>\n",
       "      <th>Popularity</th>\n",
       "      <th>IMDb_rating</th>\n",
       "      <th>genre_1</th>\n",
       "      <th>genre_2</th>\n",
       "      <th>genre_3</th>\n",
       "      <th>MetaCritic</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>CVotes10</th>\n",
       "      <th>Avg_rating</th>\n",
       "      <th>CVotes09</th>\n",
       "      <th>CVotes08</th>\n",
       "      <th>CVotes07</th>\n",
       "      <th>CVotes06</th>\n",
       "      <th>CVotes05</th>\n",
       "      <th>CVotes04</th>\n",
       "      <th>CVotes03</th>\n",
       "      <th>CVotes02</th>\n",
       "      <th>CVotes01</th>\n",
       "      <th>CVotesMale</th>\n",
       "      <th>CVotesFemale</th>\n",
       "      <th>CVotesU18</th>\n",
       "      <th>CVotesU18M</th>\n",
       "      <th>CVotesU18F</th>\n",
       "      <th>CVotes1829</th>\n",
       "      <th>CVotes1829M</th>\n",
       "      <th>CVotes1829F</th>\n",
       "      <th>CVotes3044</th>\n",
       "      <th>CVotes3044M</th>\n",
       "      <th>CVotes3044F</th>\n",
       "      <th>CVotes45A</th>\n",
       "      <th>CVotes45AM</th>\n",
       "      <th>CVotes45AF</th>\n",
       "      <th>CVotes1000</th>\n",
       "      <th>CVotesUS</th>\n",
       "      <th>CVotesnUS</th>\n",
       "      <th>VotesM</th>\n",
       "      <th>VotesF</th>\n",
       "      <th>VotesU18</th>\n",
       "      <th>VotesU18M</th>\n",
       "      <th>VotesU18F</th>\n",
       "      <th>Votes1829</th>\n",
       "      <th>Votes1829M</th>\n",
       "      <th>Votes1829F</th>\n",
       "      <th>Votes3044</th>\n",
       "      <th>Votes3044M</th>\n",
       "      <th>Votes3044F</th>\n",
       "      <th>Votes45A</th>\n",
       "      <th>Votes45AM</th>\n",
       "      <th>Votes45AF</th>\n",
       "      <th>Votes1000</th>\n",
       "      <th>VotesUS</th>\n",
       "      <th>VotesnUS</th>\n",
       "      <th>content_rating</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lion</td>\n",
       "      <td>2016</td>\n",
       "      <td>12</td>\n",
       "      <td>51</td>\n",
       "      <td>39</td>\n",
       "      <td>Dev Patel</td>\n",
       "      <td>Nicole Kidman</td>\n",
       "      <td>Rooney Mara</td>\n",
       "      <td>33000</td>\n",
       "      <td>96000.0</td>\n",
       "      <td>9800.0</td>\n",
       "      <td>138800.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Biography</td>\n",
       "      <td>Drama</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.9</td>\n",
       "      <td>118</td>\n",
       "      <td>23325</td>\n",
       "      <td>7.50</td>\n",
       "      <td>29830</td>\n",
       "      <td>40564</td>\n",
       "      <td>20296</td>\n",
       "      <td>5842</td>\n",
       "      <td>1669</td>\n",
       "      <td>558</td>\n",
       "      <td>309</td>\n",
       "      <td>182</td>\n",
       "      <td>493</td>\n",
       "      <td>68921</td>\n",
       "      <td>24977</td>\n",
       "      <td>702</td>\n",
       "      <td>477</td>\n",
       "      <td>220</td>\n",
       "      <td>42962</td>\n",
       "      <td>29729</td>\n",
       "      <td>12780</td>\n",
       "      <td>34297</td>\n",
       "      <td>26384</td>\n",
       "      <td>7413</td>\n",
       "      <td>9054</td>\n",
       "      <td>6714</td>\n",
       "      <td>2184</td>\n",
       "      <td>298</td>\n",
       "      <td>13478</td>\n",
       "      <td>53931</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.7</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>8.4</td>\n",
       "      <td>7.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>Australia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Inception</td>\n",
       "      <td>2010</td>\n",
       "      <td>160</td>\n",
       "      <td>292</td>\n",
       "      <td>132</td>\n",
       "      <td>Leonardo DiCaprio</td>\n",
       "      <td>Tom Hardy</td>\n",
       "      <td>Joseph Gordon-Levitt</td>\n",
       "      <td>29000</td>\n",
       "      <td>27000.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>79000.0</td>\n",
       "      <td>8.8</td>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>7.4</td>\n",
       "      <td>148</td>\n",
       "      <td>584839</td>\n",
       "      <td>8.10</td>\n",
       "      <td>485218</td>\n",
       "      <td>304457</td>\n",
       "      <td>130972</td>\n",
       "      <td>46393</td>\n",
       "      <td>20595</td>\n",
       "      <td>10050</td>\n",
       "      <td>6631</td>\n",
       "      <td>5243</td>\n",
       "      <td>15365</td>\n",
       "      <td>1044318</td>\n",
       "      <td>239796</td>\n",
       "      <td>5678</td>\n",
       "      <td>4462</td>\n",
       "      <td>1184</td>\n",
       "      <td>655187</td>\n",
       "      <td>512411</td>\n",
       "      <td>136770</td>\n",
       "      <td>472680</td>\n",
       "      <td>392845</td>\n",
       "      <td>73555</td>\n",
       "      <td>79634</td>\n",
       "      <td>65508</td>\n",
       "      <td>12795</td>\n",
       "      <td>885</td>\n",
       "      <td>212524</td>\n",
       "      <td>707266</td>\n",
       "      <td>8.8</td>\n",
       "      <td>8.7</td>\n",
       "      <td>9.1</td>\n",
       "      <td>9.1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.8</td>\n",
       "      <td>8.7</td>\n",
       "      <td>8.7</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.7</td>\n",
       "      <td>8.8</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>X-Men: Days of Future Past</td>\n",
       "      <td>2014</td>\n",
       "      <td>200</td>\n",
       "      <td>233</td>\n",
       "      <td>33</td>\n",
       "      <td>Jennifer Lawrence</td>\n",
       "      <td>Peter Dinklage</td>\n",
       "      <td>Hugh Jackman</td>\n",
       "      <td>34000</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>76000.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>7.4</td>\n",
       "      <td>132</td>\n",
       "      <td>91765</td>\n",
       "      <td>7.70</td>\n",
       "      <td>127521</td>\n",
       "      <td>183578</td>\n",
       "      <td>104658</td>\n",
       "      <td>33027</td>\n",
       "      <td>10059</td>\n",
       "      <td>3710</td>\n",
       "      <td>1903</td>\n",
       "      <td>1225</td>\n",
       "      <td>3301</td>\n",
       "      <td>370835</td>\n",
       "      <td>71008</td>\n",
       "      <td>3038</td>\n",
       "      <td>2403</td>\n",
       "      <td>614</td>\n",
       "      <td>220178</td>\n",
       "      <td>179039</td>\n",
       "      <td>39094</td>\n",
       "      <td>158607</td>\n",
       "      <td>135392</td>\n",
       "      <td>20927</td>\n",
       "      <td>26834</td>\n",
       "      <td>22460</td>\n",
       "      <td>3884</td>\n",
       "      <td>710</td>\n",
       "      <td>67889</td>\n",
       "      <td>229049</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.4</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.9</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Manchester by the Sea</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>47</td>\n",
       "      <td>38</td>\n",
       "      <td>Casey Affleck</td>\n",
       "      <td>Michelle Williams</td>\n",
       "      <td>Kyle Chandler</td>\n",
       "      <td>518</td>\n",
       "      <td>71000.0</td>\n",
       "      <td>3300.0</td>\n",
       "      <td>74818.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>Drama</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.6</td>\n",
       "      <td>137</td>\n",
       "      <td>18191</td>\n",
       "      <td>8.75</td>\n",
       "      <td>33532</td>\n",
       "      <td>46596</td>\n",
       "      <td>29626</td>\n",
       "      <td>11879</td>\n",
       "      <td>4539</td>\n",
       "      <td>1976</td>\n",
       "      <td>1233</td>\n",
       "      <td>888</td>\n",
       "      <td>1834</td>\n",
       "      <td>92452</td>\n",
       "      <td>22834</td>\n",
       "      <td>855</td>\n",
       "      <td>681</td>\n",
       "      <td>166</td>\n",
       "      <td>55475</td>\n",
       "      <td>43467</td>\n",
       "      <td>11378</td>\n",
       "      <td>40645</td>\n",
       "      <td>32983</td>\n",
       "      <td>7053</td>\n",
       "      <td>11361</td>\n",
       "      <td>8862</td>\n",
       "      <td>2306</td>\n",
       "      <td>402</td>\n",
       "      <td>20287</td>\n",
       "      <td>65837</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.7</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.8</td>\n",
       "      <td>R</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>2012</td>\n",
       "      <td>250</td>\n",
       "      <td>448</td>\n",
       "      <td>198</td>\n",
       "      <td>Tom Hardy</td>\n",
       "      <td>Christian Bale</td>\n",
       "      <td>Joseph Gordon-Levitt</td>\n",
       "      <td>27000</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>73000.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>Action</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.8</td>\n",
       "      <td>164</td>\n",
       "      <td>380589</td>\n",
       "      <td>8.10</td>\n",
       "      <td>341965</td>\n",
       "      <td>281426</td>\n",
       "      <td>134959</td>\n",
       "      <td>50406</td>\n",
       "      <td>20106</td>\n",
       "      <td>9589</td>\n",
       "      <td>5713</td>\n",
       "      <td>4073</td>\n",
       "      <td>11988</td>\n",
       "      <td>842343</td>\n",
       "      <td>143070</td>\n",
       "      <td>4726</td>\n",
       "      <td>4023</td>\n",
       "      <td>672</td>\n",
       "      <td>509635</td>\n",
       "      <td>425041</td>\n",
       "      <td>79826</td>\n",
       "      <td>348324</td>\n",
       "      <td>299862</td>\n",
       "      <td>43434</td>\n",
       "      <td>55689</td>\n",
       "      <td>46968</td>\n",
       "      <td>7741</td>\n",
       "      <td>840</td>\n",
       "      <td>160533</td>\n",
       "      <td>501687</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.7</td>\n",
       "      <td>8.7</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Title  title_year  budget  Gross  Profit  \\\n",
       "0                        Lion        2016      12     51      39   \n",
       "1                   Inception        2010     160    292     132   \n",
       "2  X-Men: Days of Future Past        2014     200    233      33   \n",
       "3       Manchester by the Sea        2016       9     47      38   \n",
       "4       The Dark Knight Rises        2012     250    448     198   \n",
       "\n",
       "        actor_1_name        actor_2_name          actor_3_name  \\\n",
       "0          Dev Patel       Nicole Kidman           Rooney Mara   \n",
       "1  Leonardo DiCaprio           Tom Hardy  Joseph Gordon-Levitt   \n",
       "2  Jennifer Lawrence      Peter Dinklage          Hugh Jackman   \n",
       "3      Casey Affleck  Michelle Williams          Kyle Chandler   \n",
       "4          Tom Hardy      Christian Bale  Joseph Gordon-Levitt   \n",
       "\n",
       "   actor_1_facebook_likes  actor_2_facebook_likes  actor_3_facebook_likes  \\\n",
       "0                   33000                 96000.0                  9800.0   \n",
       "1                   29000                 27000.0                 23000.0   \n",
       "2                   34000                 22000.0                 20000.0   \n",
       "3                     518                 71000.0                  3300.0   \n",
       "4                   27000                 23000.0                 23000.0   \n",
       "\n",
       "   Popularity  IMDb_rating    genre_1    genre_2 genre_3  MetaCritic  Runtime  \\\n",
       "0    138800.0          8.1  Biography      Drama     NaN         6.9      118   \n",
       "1     79000.0          8.8     Action  Adventure  Sci-Fi         7.4      148   \n",
       "2     76000.0          8.0     Action  Adventure  Sci-Fi         7.4      132   \n",
       "3     74818.0          7.9      Drama        NaN     NaN         9.6      137   \n",
       "4     73000.0          8.4     Action   Thriller     NaN         7.8      164   \n",
       "\n",
       "   CVotes10  Avg_rating  CVotes09  CVotes08  CVotes07  CVotes06  CVotes05  \\\n",
       "0     23325        7.50     29830     40564     20296      5842      1669   \n",
       "1    584839        8.10    485218    304457    130972     46393     20595   \n",
       "2     91765        7.70    127521    183578    104658     33027     10059   \n",
       "3     18191        8.75     33532     46596     29626     11879      4539   \n",
       "4    380589        8.10    341965    281426    134959     50406     20106   \n",
       "\n",
       "   CVotes04  CVotes03  CVotes02  CVotes01  CVotesMale  CVotesFemale  \\\n",
       "0       558       309       182       493       68921         24977   \n",
       "1     10050      6631      5243     15365     1044318        239796   \n",
       "2      3710      1903      1225      3301      370835         71008   \n",
       "3      1976      1233       888      1834       92452         22834   \n",
       "4      9589      5713      4073     11988      842343        143070   \n",
       "\n",
       "   CVotesU18  CVotesU18M  CVotesU18F  CVotes1829  CVotes1829M  CVotes1829F  \\\n",
       "0        702         477         220       42962        29729        12780   \n",
       "1       5678        4462        1184      655187       512411       136770   \n",
       "2       3038        2403         614      220178       179039        39094   \n",
       "3        855         681         166       55475        43467        11378   \n",
       "4       4726        4023         672      509635       425041        79826   \n",
       "\n",
       "   CVotes3044  CVotes3044M  CVotes3044F  CVotes45A  CVotes45AM  CVotes45AF  \\\n",
       "0       34297        26384         7413       9054        6714        2184   \n",
       "1      472680       392845        73555      79634       65508       12795   \n",
       "2      158607       135392        20927      26834       22460        3884   \n",
       "3       40645        32983         7053      11361        8862        2306   \n",
       "4      348324       299862        43434      55689       46968        7741   \n",
       "\n",
       "   CVotes1000  CVotesUS  CVotesnUS  VotesM  VotesF  VotesU18  VotesU18M  \\\n",
       "0         298     13478      53931     8.0     8.4       8.3        8.2   \n",
       "1         885    212524     707266     8.8     8.7       9.1        9.1   \n",
       "2         710     67889     229049     8.0     8.1       8.4        8.4   \n",
       "3         402     20287      65837     7.9     7.7       8.5        8.5   \n",
       "4         840    160533     501687     8.5     8.4       8.6        8.5   \n",
       "\n",
       "   VotesU18F  Votes1829  Votes1829M  Votes1829F  Votes3044  Votes3044M  \\\n",
       "0        8.7        8.1         8.0         8.4        8.0         7.9   \n",
       "1        9.0        9.0         9.0         8.8        8.7         8.7   \n",
       "2        8.6        8.1         8.1         8.2        7.8         7.8   \n",
       "3        8.1        8.0         8.1         7.8        7.7         7.7   \n",
       "4        8.6        8.7         8.7         8.6        8.3         8.3   \n",
       "\n",
       "   Votes3044F  Votes45A  Votes45AM  Votes45AF  Votes1000  VotesUS  VotesnUS  \\\n",
       "0         8.2       8.0        7.9        8.4        7.1      8.1       8.0   \n",
       "1         8.5       8.1        8.1        8.0        8.2      8.7       8.8   \n",
       "2         8.0       7.7        7.7        7.9        7.4      8.1       7.9   \n",
       "3         7.7       7.6        7.6        7.6        7.1      7.9       7.8   \n",
       "4         8.2       7.9        7.9        7.9        7.8      8.4       8.4   \n",
       "\n",
       "  content_rating    Country  \n",
       "0          PG-13  Australia  \n",
       "1          PG-13        USA  \n",
       "2          PG-13        USA  \n",
       "3              R        USA  \n",
       "4          PG-13        USA  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_popular_actors=movies.sort_values(by='Popularity', ascending=False, ignore_index=True).loc[0:4,:]\n",
    "top_popular_actors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ed7620ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Dev Patel', 'Nicole Kidman', 'Rooney Mara'],\n",
       " ['Leonardo DiCaprio', 'Tom Hardy', 'Joseph Gordon-Levitt'],\n",
       " ['Jennifer Lawrence', 'Peter Dinklage', 'Hugh Jackman'],\n",
       " ['Casey Affleck', 'Michelle Williams ', 'Kyle Chandler'],\n",
       " ['Tom Hardy', 'Christian Bale', 'Joseph Gordon-Levitt']]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_5_popular_trios=movies.sort_values(by='Popularity', ascending=False,\n",
    "                                      ignore_index=True).loc[0:4, ['actor_1_name', 'actor_2_name', 'actor_3_name']].values.tolist()\n",
    "\n",
    "top_5_popular_trios"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f74f6a94",
   "metadata": {},
   "source": [
    "### Qual a faixa de duração que a maioria dos filmes possuem?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47b357e8",
   "metadata": {},
   "source": [
    "- Vamos verificar a distribuição de filmes pela sua duração em minutos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "9c7f81df",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/andre/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[8,4])\n",
    "run=sns.distplot(movies['Runtime'])\n",
    "run.axes.set_title('Distribuição da duração dos filmes', fontsize=20)\n",
    "run.set_xlabel(\"Duração\", fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "337e84e1",
   "metadata": {},
   "source": [
    "- Podemos observar que a maioria dos filmes tem duração de 120-130 minutos"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c9c0006",
   "metadata": {},
   "source": [
    "### Quais são os filmes de classificação R mais populares entre os jovens com menos de 18 anos? "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de0bc9ae",
   "metadata": {},
   "source": [
    "- Vamos aprofundar nossa análise nos filmes de classificação R de conteúdo, ou seja, os filmes que são restritos para menores de 18 anos.\n",
    "\n",
    "- Depois ordená-los pelo número de votos do grupo com idade inferior a 18 anos (*CVotesU18*) em ordem decrescente e verificar os top5."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "263d0258",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Title</th>\n",
       "      <th>title_year</th>\n",
       "      <th>budget</th>\n",
       "      <th>Gross</th>\n",
       "      <th>Profit</th>\n",
       "      <th>actor_1_name</th>\n",
       "      <th>actor_2_name</th>\n",
       "      <th>actor_3_name</th>\n",
       "      <th>actor_1_facebook_likes</th>\n",
       "      <th>actor_2_facebook_likes</th>\n",
       "      <th>actor_3_facebook_likes</th>\n",
       "      <th>Popularity</th>\n",
       "      <th>IMDb_rating</th>\n",
       "      <th>genre_1</th>\n",
       "      <th>genre_2</th>\n",
       "      <th>genre_3</th>\n",
       "      <th>MetaCritic</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>CVotes10</th>\n",
       "      <th>Avg_rating</th>\n",
       "      <th>CVotes09</th>\n",
       "      <th>CVotes08</th>\n",
       "      <th>CVotes07</th>\n",
       "      <th>CVotes06</th>\n",
       "      <th>CVotes05</th>\n",
       "      <th>CVotes04</th>\n",
       "      <th>CVotes03</th>\n",
       "      <th>CVotes02</th>\n",
       "      <th>CVotes01</th>\n",
       "      <th>CVotesMale</th>\n",
       "      <th>CVotesFemale</th>\n",
       "      <th>CVotesU18</th>\n",
       "      <th>CVotesU18M</th>\n",
       "      <th>CVotesU18F</th>\n",
       "      <th>CVotes1829</th>\n",
       "      <th>CVotes1829M</th>\n",
       "      <th>CVotes1829F</th>\n",
       "      <th>CVotes3044</th>\n",
       "      <th>CVotes3044M</th>\n",
       "      <th>CVotes3044F</th>\n",
       "      <th>CVotes45A</th>\n",
       "      <th>CVotes45AM</th>\n",
       "      <th>CVotes45AF</th>\n",
       "      <th>CVotes1000</th>\n",
       "      <th>CVotesUS</th>\n",
       "      <th>CVotesnUS</th>\n",
       "      <th>VotesM</th>\n",
       "      <th>VotesF</th>\n",
       "      <th>VotesU18</th>\n",
       "      <th>VotesU18M</th>\n",
       "      <th>VotesU18F</th>\n",
       "      <th>Votes1829</th>\n",
       "      <th>Votes1829M</th>\n",
       "      <th>Votes1829F</th>\n",
       "      <th>Votes3044</th>\n",
       "      <th>Votes3044M</th>\n",
       "      <th>Votes3044F</th>\n",
       "      <th>Votes45A</th>\n",
       "      <th>Votes45AM</th>\n",
       "      <th>Votes45AF</th>\n",
       "      <th>Votes1000</th>\n",
       "      <th>VotesUS</th>\n",
       "      <th>VotesnUS</th>\n",
       "      <th>content_rating</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Deadpool</td>\n",
       "      <td>2016</td>\n",
       "      <td>58</td>\n",
       "      <td>363</td>\n",
       "      <td>305</td>\n",
       "      <td>Ryan Reynolds</td>\n",
       "      <td>Ed Skrein</td>\n",
       "      <td>Stefan Kapicic</td>\n",
       "      <td>16000</td>\n",
       "      <td>805.0</td>\n",
       "      <td>361.0</td>\n",
       "      <td>17166.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>6.5</td>\n",
       "      <td>108</td>\n",
       "      <td>147467</td>\n",
       "      <td>7.25</td>\n",
       "      <td>147966</td>\n",
       "      <td>170810</td>\n",
       "      <td>105717</td>\n",
       "      <td>41811</td>\n",
       "      <td>15510</td>\n",
       "      <td>7046</td>\n",
       "      <td>4273</td>\n",
       "      <td>3037</td>\n",
       "      <td>8538</td>\n",
       "      <td>391955</td>\n",
       "      <td>79804</td>\n",
       "      <td>4598</td>\n",
       "      <td>3601</td>\n",
       "      <td>969</td>\n",
       "      <td>232840</td>\n",
       "      <td>186139</td>\n",
       "      <td>44316</td>\n",
       "      <td>159222</td>\n",
       "      <td>135428</td>\n",
       "      <td>21521</td>\n",
       "      <td>28753</td>\n",
       "      <td>24218</td>\n",
       "      <td>4009</td>\n",
       "      <td>667</td>\n",
       "      <td>67933</td>\n",
       "      <td>241138</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.3</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.9</td>\n",
       "      <td>R</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>The Wolf of Wall Street</td>\n",
       "      <td>2013</td>\n",
       "      <td>100</td>\n",
       "      <td>116</td>\n",
       "      <td>16</td>\n",
       "      <td>Leonardo DiCaprio</td>\n",
       "      <td>Matthew McConaughey</td>\n",
       "      <td>Jon Favreau</td>\n",
       "      <td>29000</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>44000.0</td>\n",
       "      <td>8.2</td>\n",
       "      <td>Biography</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Crime</td>\n",
       "      <td>7.5</td>\n",
       "      <td>180</td>\n",
       "      <td>171660</td>\n",
       "      <td>7.85</td>\n",
       "      <td>236650</td>\n",
       "      <td>250667</td>\n",
       "      <td>129164</td>\n",
       "      <td>46715</td>\n",
       "      <td>18682</td>\n",
       "      <td>8674</td>\n",
       "      <td>5854</td>\n",
       "      <td>4258</td>\n",
       "      <td>9689</td>\n",
       "      <td>559564</td>\n",
       "      <td>123698</td>\n",
       "      <td>3622</td>\n",
       "      <td>2842</td>\n",
       "      <td>757</td>\n",
       "      <td>360841</td>\n",
       "      <td>286627</td>\n",
       "      <td>70874</td>\n",
       "      <td>227096</td>\n",
       "      <td>189110</td>\n",
       "      <td>34712</td>\n",
       "      <td>39996</td>\n",
       "      <td>32676</td>\n",
       "      <td>6629</td>\n",
       "      <td>730</td>\n",
       "      <td>89006</td>\n",
       "      <td>366829</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.7</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.5</td>\n",
       "      <td>7.9</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>R</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Django Unchained</td>\n",
       "      <td>2012</td>\n",
       "      <td>100</td>\n",
       "      <td>162</td>\n",
       "      <td>62</td>\n",
       "      <td>Leonardo DiCaprio</td>\n",
       "      <td>Christoph Waltz</td>\n",
       "      <td>Ato Essandoh</td>\n",
       "      <td>29000</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>265.0</td>\n",
       "      <td>40265.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Western</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.1</td>\n",
       "      <td>165</td>\n",
       "      <td>234824</td>\n",
       "      <td>8.25</td>\n",
       "      <td>339329</td>\n",
       "      <td>286911</td>\n",
       "      <td>121445</td>\n",
       "      <td>38251</td>\n",
       "      <td>14227</td>\n",
       "      <td>6469</td>\n",
       "      <td>4149</td>\n",
       "      <td>3181</td>\n",
       "      <td>8065</td>\n",
       "      <td>695211</td>\n",
       "      <td>139226</td>\n",
       "      <td>3250</td>\n",
       "      <td>2726</td>\n",
       "      <td>501</td>\n",
       "      <td>410538</td>\n",
       "      <td>332690</td>\n",
       "      <td>74006</td>\n",
       "      <td>301231</td>\n",
       "      <td>253253</td>\n",
       "      <td>43774</td>\n",
       "      <td>57463</td>\n",
       "      <td>47535</td>\n",
       "      <td>8962</td>\n",
       "      <td>816</td>\n",
       "      <td>123423</td>\n",
       "      <td>448126</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.8</td>\n",
       "      <td>8.9</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>R</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>2015</td>\n",
       "      <td>150</td>\n",
       "      <td>153</td>\n",
       "      <td>3</td>\n",
       "      <td>Tom Hardy</td>\n",
       "      <td>Charlize Theron</td>\n",
       "      <td>ZoÃ« Kravitz</td>\n",
       "      <td>27000</td>\n",
       "      <td>9000.0</td>\n",
       "      <td>943.0</td>\n",
       "      <td>36943.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>9.0</td>\n",
       "      <td>120</td>\n",
       "      <td>136194</td>\n",
       "      <td>8.55</td>\n",
       "      <td>158403</td>\n",
       "      <td>163494</td>\n",
       "      <td>97218</td>\n",
       "      <td>42636</td>\n",
       "      <td>19505</td>\n",
       "      <td>9932</td>\n",
       "      <td>6743</td>\n",
       "      <td>4930</td>\n",
       "      <td>10516</td>\n",
       "      <td>424435</td>\n",
       "      <td>69670</td>\n",
       "      <td>3159</td>\n",
       "      <td>2682</td>\n",
       "      <td>456</td>\n",
       "      <td>238202</td>\n",
       "      <td>198026</td>\n",
       "      <td>37751</td>\n",
       "      <td>183637</td>\n",
       "      <td>159520</td>\n",
       "      <td>21373</td>\n",
       "      <td>34848</td>\n",
       "      <td>29980</td>\n",
       "      <td>4209</td>\n",
       "      <td>726</td>\n",
       "      <td>73080</td>\n",
       "      <td>267084</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.9</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>R</td>\n",
       "      <td>Australia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Whiplash</td>\n",
       "      <td>2014</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>J.K. Simmons</td>\n",
       "      <td>Melissa Benoist</td>\n",
       "      <td>Chris Mulkey</td>\n",
       "      <td>24000</td>\n",
       "      <td>970.0</td>\n",
       "      <td>535.0</td>\n",
       "      <td>25505.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Music</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.8</td>\n",
       "      <td>107</td>\n",
       "      <td>110404</td>\n",
       "      <td>8.65</td>\n",
       "      <td>161864</td>\n",
       "      <td>132656</td>\n",
       "      <td>56007</td>\n",
       "      <td>16577</td>\n",
       "      <td>6031</td>\n",
       "      <td>2937</td>\n",
       "      <td>1859</td>\n",
       "      <td>1263</td>\n",
       "      <td>2723</td>\n",
       "      <td>308900</td>\n",
       "      <td>71066</td>\n",
       "      <td>2878</td>\n",
       "      <td>2200</td>\n",
       "      <td>660</td>\n",
       "      <td>205839</td>\n",
       "      <td>161853</td>\n",
       "      <td>41944</td>\n",
       "      <td>123712</td>\n",
       "      <td>102839</td>\n",
       "      <td>19018</td>\n",
       "      <td>23345</td>\n",
       "      <td>19072</td>\n",
       "      <td>3812</td>\n",
       "      <td>590</td>\n",
       "      <td>49868</td>\n",
       "      <td>213952</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.4</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.1</td>\n",
       "      <td>8.9</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.7</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.6</td>\n",
       "      <td>8.4</td>\n",
       "      <td>R</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Title  title_year  budget  Gross  Profit  \\\n",
       "0                 Deadpool        2016      58    363     305   \n",
       "1  The Wolf of Wall Street        2013     100    116      16   \n",
       "2         Django Unchained        2012     100    162      62   \n",
       "3       Mad Max: Fury Road        2015     150    153       3   \n",
       "4                 Whiplash        2014       3     13      10   \n",
       "\n",
       "        actor_1_name         actor_2_name    actor_3_name  \\\n",
       "0      Ryan Reynolds            Ed Skrein  Stefan Kapicic   \n",
       "1  Leonardo DiCaprio  Matthew McConaughey     Jon Favreau   \n",
       "2  Leonardo DiCaprio      Christoph Waltz    Ato Essandoh   \n",
       "3          Tom Hardy      Charlize Theron    ZoÃ« Kravitz   \n",
       "4       J.K. Simmons      Melissa Benoist    Chris Mulkey   \n",
       "\n",
       "   actor_1_facebook_likes  actor_2_facebook_likes  actor_3_facebook_likes  \\\n",
       "0                   16000                   805.0                   361.0   \n",
       "1                   29000                 11000.0                  4000.0   \n",
       "2                   29000                 11000.0                   265.0   \n",
       "3                   27000                  9000.0                   943.0   \n",
       "4                   24000                   970.0                   535.0   \n",
       "\n",
       "   Popularity  IMDb_rating    genre_1    genre_2 genre_3  MetaCritic  Runtime  \\\n",
       "0     17166.0          8.0     Action  Adventure  Comedy         6.5      108   \n",
       "1     44000.0          8.2  Biography     Comedy   Crime         7.5      180   \n",
       "2     40265.0          8.4      Drama    Western     NaN         8.1      165   \n",
       "3     36943.0          8.1     Action  Adventure  Sci-Fi         9.0      120   \n",
       "4     25505.0          8.5      Drama      Music     NaN         8.8      107   \n",
       "\n",
       "   CVotes10  Avg_rating  CVotes09  CVotes08  CVotes07  CVotes06  CVotes05  \\\n",
       "0    147467        7.25    147966    170810    105717     41811     15510   \n",
       "1    171660        7.85    236650    250667    129164     46715     18682   \n",
       "2    234824        8.25    339329    286911    121445     38251     14227   \n",
       "3    136194        8.55    158403    163494     97218     42636     19505   \n",
       "4    110404        8.65    161864    132656     56007     16577      6031   \n",
       "\n",
       "   CVotes04  CVotes03  CVotes02  CVotes01  CVotesMale  CVotesFemale  \\\n",
       "0      7046      4273      3037      8538      391955         79804   \n",
       "1      8674      5854      4258      9689      559564        123698   \n",
       "2      6469      4149      3181      8065      695211        139226   \n",
       "3      9932      6743      4930     10516      424435         69670   \n",
       "4      2937      1859      1263      2723      308900         71066   \n",
       "\n",
       "   CVotesU18  CVotesU18M  CVotesU18F  CVotes1829  CVotes1829M  CVotes1829F  \\\n",
       "0       4598        3601         969      232840       186139        44316   \n",
       "1       3622        2842         757      360841       286627        70874   \n",
       "2       3250        2726         501      410538       332690        74006   \n",
       "3       3159        2682         456      238202       198026        37751   \n",
       "4       2878        2200         660      205839       161853        41944   \n",
       "\n",
       "   CVotes3044  CVotes3044M  CVotes3044F  CVotes45A  CVotes45AM  CVotes45AF  \\\n",
       "0      159222       135428        21521      28753       24218        4009   \n",
       "1      227096       189110        34712      39996       32676        6629   \n",
       "2      301231       253253        43774      57463       47535        8962   \n",
       "3      183637       159520        21373      34848       29980        4209   \n",
       "4      123712       102839        19018      23345       19072        3812   \n",
       "\n",
       "   CVotes1000  CVotesUS  CVotesnUS  VotesM  VotesF  VotesU18  VotesU18M  \\\n",
       "0         667     67933     241138     8.0     8.1       8.4        8.4   \n",
       "1         730     89006     366829     8.2     7.8       8.6        8.7   \n",
       "2         816    123423     448126     8.4     8.4       8.8        8.9   \n",
       "3         726     73080     267084     8.1     7.9       8.5        8.6   \n",
       "4         590     49868     213952     8.5     8.4       9.0        9.1   \n",
       "\n",
       "   VotesU18F  Votes1829  Votes1829M  Votes1829F  Votes3044  Votes3044M  \\\n",
       "0        8.6        8.1         8.1         8.1        7.9         7.9   \n",
       "1        8.0        8.4         8.5         7.9        8.0         8.1   \n",
       "2        8.5        8.6         8.6         8.5        8.3         8.3   \n",
       "3        8.4        8.3         8.3         8.1        8.0         8.0   \n",
       "4        8.9        8.6         8.7         8.5        8.3         8.3   \n",
       "\n",
       "   Votes3044F  Votes45A  Votes45AM  Votes45AF  Votes1000  VotesUS  VotesnUS  \\\n",
       "0         7.9       7.8        7.8        7.9        7.3      8.1       7.9   \n",
       "1         7.7       7.6        7.6        7.5        7.8      8.1       8.1   \n",
       "2         8.3       8.0        8.0        8.1        7.8      8.4       8.4   \n",
       "3         7.8       7.5        7.5        7.2        8.0      8.2       8.0   \n",
       "4         8.2       8.1        8.1        8.2        8.0      8.6       8.4   \n",
       "\n",
       "  content_rating    Country  \n",
       "0              R        USA  \n",
       "1              R        USA  \n",
       "2              R        USA  \n",
       "3              R  Australia  \n",
       "4              R        USA  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "content_r = movies[movies['content_rating']=='R']\n",
    "PopularR = content_r.sort_values(by='CVotesU18', ascending = False, ignore_index=True)[0:10]\n",
    "PopularR[0:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a2343b0",
   "metadata": {},
   "source": [
    "- *Deadpool*, *The Wolf of Wall Street* são os mais populares entre os jovens."
   ]
  }
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