Corona_Virus_Visualizations.ipynb

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      "name": "Corona Virus Visualizations.ipynb",
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        "outputId": "bb253ca9-fbf2-461f-9eb2-58eee6954e98"
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import io\n"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
            "  import pandas.util.testing as tm\n"
          ],
          "name": "stderr"
        }
      ]
    },
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        },
        "outputId": "b8dea73d-de0e-40ad-ab06-1a708129a6cb"
      },
      "source": [
        "df = pd.read_csv('patient.csv')\n",
        "df"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>sex</th>\n",
              "      <th>birth_year</th>\n",
              "      <th>country</th>\n",
              "      <th>region</th>\n",
              "      <th>group</th>\n",
              "      <th>infection_reason</th>\n",
              "      <th>infection_order</th>\n",
              "      <th>infected_by</th>\n",
              "      <th>contact_number</th>\n",
              "      <th>confirmed_date</th>\n",
              "      <th>released_date</th>\n",
              "      <th>deceased_date</th>\n",
              "      <th>state</th>\n",
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              "  </thead>\n",
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              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>female</td>\n",
              "      <td>1984.0</td>\n",
              "      <td>China</td>\n",
              "      <td>filtered at airport</td>\n",
              "      <td>NaN</td>\n",
              "      <td>visit to Wuhan</td>\n",
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              "      <td>75.0</td>\n",
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              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>male</td>\n",
              "      <td>1966.0</td>\n",
              "      <td>Korea</td>\n",
              "      <td>capital area</td>\n",
              "      <td>NaN</td>\n",
              "      <td>visit to Wuhan</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>16.0</td>\n",
              "      <td>2020-01-26</td>\n",
              "      <td>2020-02-12</td>\n",
              "      <td>NaN</td>\n",
              "      <td>released</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>male</td>\n",
              "      <td>1964.0</td>\n",
              "      <td>Korea</td>\n",
              "      <td>capital area</td>\n",
              "      <td>NaN</td>\n",
              "      <td>visit to Wuhan</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>95.0</td>\n",
              "      <td>2020-01-27</td>\n",
              "      <td>2020-02-09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>released</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>male</td>\n",
              "      <td>1987.0</td>\n",
              "      <td>Korea</td>\n",
              "      <td>capital area</td>\n",
              "      <td>NaN</td>\n",
              "      <td>visit to Wuhan</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>31.0</td>\n",
              "      <td>2020-01-30</td>\n",
              "      <td>2020-03-02</td>\n",
              "      <td>NaN</td>\n",
              "      <td>released</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
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              "      <th>5323</th>\n",
              "      <td>5324</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Korea</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>2020-03-03</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>isolated</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5324</th>\n",
              "      <td>5325</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Korea</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>2020-03-03</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <th>5325</th>\n",
              "      <td>5326</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>2020-03-03</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>isolated</td>\n",
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              "      <th>5326</th>\n",
              "      <td>5327</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Korea</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>2020-03-03</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>5328</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Korea</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",
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              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5328 rows × 14 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        id     sex  birth_year  ... released_date deceased_date     state\n",
              "0        1  female      1984.0  ...    2020-02-06           NaN  released\n",
              "1        2    male      1964.0  ...    2020-02-05           NaN  released\n",
              "2        3    male      1966.0  ...    2020-02-12           NaN  released\n",
              "3        4    male      1964.0  ...    2020-02-09           NaN  released\n",
              "4        5    male      1987.0  ...    2020-03-02           NaN  released\n",
              "...    ...     ...         ...  ...           ...           ...       ...\n",
              "5323  5324     NaN         NaN  ...           NaN           NaN  isolated\n",
              "5324  5325     NaN         NaN  ...           NaN           NaN  isolated\n",
              "5325  5326     NaN         NaN  ...           NaN           NaN  isolated\n",
              "5326  5327     NaN         NaN  ...           NaN           NaN  isolated\n",
              "5327  5328     NaN         NaN  ...           NaN           NaN  isolated\n",
              "\n",
              "[5328 rows x 14 columns]"
            ]
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      "source": [
        "df.describe()"
      ],
      "execution_count": 3,
      "outputs": [
        {
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          "data": {
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>birth_year</th>\n",
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              "      <th>infected_by</th>\n",
              "      <th>contact_number</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>5328.000000</td>\n",
              "      <td>370.000000</td>\n",
              "      <td>35.000000</td>\n",
              "      <td>70.000000</td>\n",
              "      <td>47.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>2664.500000</td>\n",
              "      <td>1973.589189</td>\n",
              "      <td>2.285714</td>\n",
              "      <td>379.000000</td>\n",
              "      <td>72.978723</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1538.205448</td>\n",
              "      <td>17.560546</td>\n",
              "      <td>1.405272</td>\n",
              "      <td>540.247528</td>\n",
              "      <td>188.155288</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>1932.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>1332.750000</td>\n",
              "      <td>1960.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>29.250000</td>\n",
              "      <td>2.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>2664.500000</td>\n",
              "      <td>1974.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>126.000000</td>\n",
              "      <td>16.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>3996.250000</td>\n",
              "      <td>1987.750000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>563.250000</td>\n",
              "      <td>46.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>5328.000000</td>\n",
              "      <td>2018.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>2621.000000</td>\n",
              "      <td>1160.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                id   birth_year  infection_order  infected_by  contact_number\n",
              "count  5328.000000   370.000000        35.000000    70.000000       47.000000\n",
              "mean   2664.500000  1973.589189         2.285714   379.000000       72.978723\n",
              "std    1538.205448    17.560546         1.405272   540.247528      188.155288\n",
              "min       1.000000  1932.000000         1.000000     3.000000        0.000000\n",
              "25%    1332.750000  1960.000000         1.000000    29.250000        2.500000\n",
              "50%    2664.500000  1974.000000         2.000000   126.000000       16.000000\n",
              "75%    3996.250000  1987.750000         3.000000   563.250000       46.000000\n",
              "max    5328.000000  2018.000000         6.000000  2621.000000     1160.000000"
            ]
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      "source": [
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          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 5328 entries, 0 to 5327\n",
            "Data columns (total 14 columns):\n",
            " #   Column            Non-Null Count  Dtype  \n",
            "---  ------            --------------  -----  \n",
            " 0   id                5328 non-null   int64  \n",
            " 1   sex               383 non-null    object \n",
            " 2   birth_year        370 non-null    float64\n",
            " 3   country           5328 non-null   object \n",
            " 4   region            371 non-null    object \n",
            " 5   group             81 non-null     object \n",
            " 6   infection_reason  140 non-null    object \n",
            " 7   infection_order   35 non-null     float64\n",
            " 8   infected_by       70 non-null     float64\n",
            " 9   contact_number    47 non-null     float64\n",
            " 10  confirmed_date    5328 non-null   object \n",
            " 11  released_date     32 non-null     object \n",
            " 12  deceased_date     20 non-null     object \n",
            " 13  state             5328 non-null   object \n",
            "dtypes: float64(4), int64(1), object(9)\n",
            "memory usage: 582.9+ KB\n"
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        "df.index"
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              "RangeIndex(start=0, stop=5328, step=1)"
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              "(5328, 14)"
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          "data": {
            "text/plain": [
              "Index(['id', 'sex', 'birth_year', 'country', 'region', 'group',\n",
              "       'infection_reason', 'infection_order', 'infected_by', 'contact_number',\n",
              "       'confirmed_date', 'released_date', 'deceased_date', 'state'],\n",
              "      dtype='object')"
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          "execution_count": 9
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        "outputId": "b92518b3-c647-4f66-c7f9-ed650231d150"
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      "source": [
        "df.count()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "id                  5328\n",
              "sex                  383\n",
              "birth_year           370\n",
              "country             5328\n",
              "region               371\n",
              "group                 81\n",
              "infection_reason     140\n",
              "infection_order       35\n",
              "infected_by           70\n",
              "contact_number        47\n",
              "confirmed_date      5328\n",
              "released_date         32\n",
              "deceased_date         20\n",
              "state               5328\n",
              "dtype: int64"
            ]
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      "source": [
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              "      <td>2020-02-06</td>\n",
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              "      <td>2</td>\n",
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              "      <td>visit to Wuhan</td>\n",
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              "      <td>75.0</td>\n",
              "      <td>2020-01-24</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>male</td>\n",
              "      <td>1966.0</td>\n",
              "      <td>Korea</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>visit to Wuhan</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>16.0</td>\n",
              "      <td>2020-01-26</td>\n",
              "      <td>2020-02-12</td>\n",
              "      <td>NaN</td>\n",
              "      <td>released</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>male</td>\n",
              "      <td>1964.0</td>\n",
              "      <td>Korea</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>visit to Wuhan</td>\n",
              "      <td>1.0</td>\n",
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              "      <td>95.0</td>\n",
              "      <td>2020-01-27</td>\n",
              "      <td>2020-02-09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>released</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>male</td>\n",
              "      <td>1987.0</td>\n",
              "      <td>Korea</td>\n",
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              "      <td>visit to Wuhan</td>\n",
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              "      <td>2020-01-30</td>\n",
              "      <td>2020-03-02</td>\n",
              "      <td>NaN</td>\n",
              "      <td>released</td>\n",
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              "  </tbody>\n",
              "</table>\n",
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            ],
            "text/plain": [
              "   id     sex  birth_year  ... released_date deceased_date     state\n",
              "0   1  female      1984.0  ...    2020-02-06           NaN  released\n",
              "1   2    male      1964.0  ...    2020-02-05           NaN  released\n",
              "2   3    male      1966.0  ...    2020-02-12           NaN  released\n",
              "3   4    male      1964.0  ...    2020-02-09           NaN  released\n",
              "4   5    male      1987.0  ...    2020-03-02           NaN  released\n",
              "\n",
              "[5 rows x 14 columns]"
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              "    <tr>\n",
              "      <th>5327</th>\n",
              "      <td>5328</td>\n",
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              "      <td>NaN</td>\n",
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              "        id  sex  birth_year  ... released_date deceased_date     state\n",
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              "5326  5327  NaN         NaN  ...           NaN           NaN  isolated\n",
              "5327  5328  NaN         NaN  ...           NaN           NaN  isolated\n",
              "\n",
              "[5 rows x 14 columns]"
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        "df.isnull().sum() "
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      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "id                     0\n",
              "sex                 4945\n",
              "birth_year          4958\n",
              "country                0\n",
              "region              4957\n",
              "group               5247\n",
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              "dtype: int64"
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        "df.sort_index()"
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      "execution_count": 16,
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "<p>5328 rows × 14 columns</p>\n",
              "</div>"
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              "        id     sex  birth_year  ... released_date deceased_date     state\n",
              "0        1  female      1984.0  ...    2020-02-06           NaN  released\n",
              "1        2    male      1964.0  ...    2020-02-05           NaN  released\n",
              "2        3    male      1966.0  ...    2020-02-12           NaN  released\n",
              "3        4    male      1964.0  ...    2020-02-09           NaN  released\n",
              "4        5    male      1987.0  ...    2020-03-02           NaN  released\n",
              "...    ...     ...         ...  ...           ...           ...       ...\n",
              "5323  5324     NaN         NaN  ...           NaN           NaN  isolated\n",
              "5324  5325     NaN         NaN  ...           NaN           NaN  isolated\n",
              "5325  5326     NaN         NaN  ...           NaN           NaN  isolated\n",
              "5326  5327     NaN         NaN  ...           NaN           NaN  isolated\n",
              "5327  5328     NaN         NaN  ...           NaN           NaN  isolated\n",
              "\n",
              "[5328 rows x 14 columns]"
            ]
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    {
      "cell_type": "code",
      "metadata": {
        "id": "juUSS9FayhEV",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 69
        },
        "outputId": "033cdcce-6ef8-4f56-dc46-3136856e22c4"
      },
      "source": [
        "df['sex'].value_counts()"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "female    194\n",
              "male      189\n",
              "Name: sex, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_JNhxcSDyzi0",
        "colab_type": "text"
      },
      "source": [
        "Applying Lambda function to change the sex from male and female to 1 and 0 respectively\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cRUSGmP7yur4",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 343
        },
        "outputId": "0c7b3313-c826-49f3-df2d-19408164e018"
      },
      "source": [
        "df.sex = df.sex.apply(lambda X : 0 if X == 'female' else 1) \n",
        "df.head(5)"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>id</th>\n",
              "      <th>sex</th>\n",
              "      <th>birth_year</th>\n",
              "      <th>country</th>\n",
              "      <th>region</th>\n",
              "      <th>group</th>\n",
              "      <th>infection_reason</th>\n",
              "      <th>infection_order</th>\n",
              "      <th>infected_by</th>\n",
              "      <th>contact_number</th>\n",
              "      <th>confirmed_date</th>\n",
              "      <th>released_date</th>\n",
              "      <th>deceased_date</th>\n",
              "      <th>state</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1984.0</td>\n",
              "      <td>China</td>\n",
              "      <td>filtered at airport</td>\n",
              "      <td>NaN</td>\n",
              "      <td>visit to Wuhan</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>45.0</td>\n",
              "      <td>2020-01-20</td>\n",
              "      <td>2020-02-06</td>\n",
              "      <td>NaN</td>\n",
              "      <td>released</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1964.0</td>\n",
              "      <td>Korea</td>\n",
              "      <td>filtered at airport</td>\n",
              "      <td>NaN</td>\n",
              "      <td>visit to Wuhan</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>75.0</td>\n",
              "      <td>2020-01-24</td>\n",
              "      <td>2020-02-05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>released</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1966.0</td>\n",
              "      <td>Korea</td>\n",
              "      <td>capital area</td>\n",
              "      <td>NaN</td>\n",
              "      <td>visit to Wuhan</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>16.0</td>\n",
              "      <td>2020-01-26</td>\n",
              "      <td>2020-02-12</td>\n",
              "      <td>NaN</td>\n",
              "      <td>released</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>1964.0</td>\n",
              "      <td>Korea</td>\n",
              "      <td>capital area</td>\n",
              "      <td>NaN</td>\n",
              "      <td>visit to Wuhan</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>95.0</td>\n",
              "      <td>2020-01-27</td>\n",
              "      <td>2020-02-09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>released</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>1987.0</td>\n",
              "      <td>Korea</td>\n",
              "      <td>capital area</td>\n",
              "      <td>NaN</td>\n",
              "      <td>visit to Wuhan</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>31.0</td>\n",
              "      <td>2020-01-30</td>\n",
              "      <td>2020-03-02</td>\n",
              "      <td>NaN</td>\n",
              "      <td>released</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   id  sex  birth_year  ... released_date deceased_date     state\n",
              "0   1    0      1984.0  ...    2020-02-06           NaN  released\n",
              "1   2    1      1964.0  ...    2020-02-05           NaN  released\n",
              "2   3    1      1966.0  ...    2020-02-12           NaN  released\n",
              "3   4    1      1964.0  ...    2020-02-09           NaN  released\n",
              "4   5    1      1987.0  ...    2020-03-02           NaN  released\n",
              "\n",
              "[5 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qSo1DPwszKzE",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 233
        },
        "outputId": "4e4778ce-ab3c-455c-ae7b-12bb67d0cdea"
      },
      "source": [
        "df.describe().T"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>count</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>min</th>\n",
              "      <th>25%</th>\n",
              "      <th>50%</th>\n",
              "      <th>75%</th>\n",
              "      <th>max</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>id</th>\n",
              "      <td>5328.0</td>\n",
              "      <td>2664.500000</td>\n",
              "      <td>1538.205448</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1332.75</td>\n",
              "      <td>2664.5</td>\n",
              "      <td>3996.25</td>\n",
              "      <td>5328.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sex</th>\n",
              "      <td>5328.0</td>\n",
              "      <td>0.963589</td>\n",
              "      <td>0.187329</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>birth_year</th>\n",
              "      <td>370.0</td>\n",
              "      <td>1973.589189</td>\n",
              "      <td>17.560546</td>\n",
              "      <td>1932.0</td>\n",
              "      <td>1960.00</td>\n",
              "      <td>1974.0</td>\n",
              "      <td>1987.75</td>\n",
              "      <td>2018.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>infection_order</th>\n",
              "      <td>35.0</td>\n",
              "      <td>2.285714</td>\n",
              "      <td>1.405272</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.00</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.00</td>\n",
              "      <td>6.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>infected_by</th>\n",
              "      <td>70.0</td>\n",
              "      <td>379.000000</td>\n",
              "      <td>540.247528</td>\n",
              "      <td>3.0</td>\n",
              "      <td>29.25</td>\n",
              "      <td>126.0</td>\n",
              "      <td>563.25</td>\n",
              "      <td>2621.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>contact_number</th>\n",
              "      <td>47.0</td>\n",
              "      <td>72.978723</td>\n",
              "      <td>188.155288</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.50</td>\n",
              "      <td>16.0</td>\n",
              "      <td>46.00</td>\n",
              "      <td>1160.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                  count         mean          std  ...     50%      75%     max\n",
              "id               5328.0  2664.500000  1538.205448  ...  2664.5  3996.25  5328.0\n",
              "sex              5328.0     0.963589     0.187329  ...     1.0     1.00     1.0\n",
              "birth_year        370.0  1973.589189    17.560546  ...  1974.0  1987.75  2018.0\n",
              "infection_order    35.0     2.285714     1.405272  ...     2.0     3.00     6.0\n",
              "infected_by        70.0   379.000000   540.247528  ...   126.0   563.25  2621.0\n",
              "contact_number     47.0    72.978723   188.155288  ...    16.0    46.00  1160.0\n",
              "\n",
              "[6 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "92sPvG5MzWJ-",
        "colab_type": "text"
      },
      "source": [
        "# **Data Visualization**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "asFQPDglzKm2",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        },
        "outputId": "e232dd5a-54e6-4623-a867-95527a60d7ff"
      },
      "source": [
        "sns.heatmap(df.isnull(), yticklabels = False)\n",
        "#checking NULl Values via graph,where you can find yellow colour which means that column contains NUll values"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f791880ea90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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SO8yhlqK0fb+k64DHkioUPTY/t7TJLG0lVm+J0mJSp9l6idK0uBtEy3spVWIU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\npplZTe4wzcxqcodpZlaTO0wzs5r+Hz8lqK/cN5j/AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "41CiEWgyzsm1",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#sns.set(rc={'figure.figsize':(10,8)})"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UAvOJCQLzw0c",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 535
        },
        "outputId": "118298c4-13e9-4fb2-8db7-670a59325e28"
      },
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "sns.countplot(y=df['region'],).set_title('Regions affected Overall') # Ploting graph which regions maximum number of affected peole\n"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Regions affected Overall')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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7lymHg3foAACA0ovtGQAAAIAJQjMAAABggtAMAAAAmCA0AwAAACYIzQAAAIAJ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\n/wG3IkhM46B3MwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zdotAp7Z2ZO6",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "outputId": "edefdb24-0e5c-46e1-dffe-2729b4cea0ba"
      },
      "source": [
        "sns.countplot(x='sex',data=df, hue='sex')"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f791444f940>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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EnDs7AAAUSsgBABRKyAEAFErIAQAUSsgBABRq0CH35S9/+SWP33nnncM2DAAAgzfokLvt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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Zcs3-ij92M4h",
        "colab_type": "text"
      },
      "source": [
        "Which country have maximum number of affected people\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TQGM0VSr17h6",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "outputId": "c220961f-7d43-4551-c6bc-a7cd786c3bd3"
      },
      "source": [
        "sns.countplot(x='country',data=df, hue='country')"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f791444fe80>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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5cxfZ7XaFhIToppsa6Oefjyo/P08HDux37adZs+a/OcOXrx9/3KuePftIkho0aKjGjZtq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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iExQ5dyh1wJI",
        "colab_type": "text"
      },
      "source": [
        " \n",
        "Ploting Graph which area maximum number of affected people in country."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rnBuZUEE09cx",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "outputId": "aa5f01fa-1d66-42fd-aa20-019942ebbaa2"
      },
      "source": [
        "sns.countplot(y='group',data=df, hue='country') "
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f79144bfc88>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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2x7cnkgo9ZwAAAEZUZsO/M5o2bapq1apJkh5++GHt3LlTkvTll1/q4MGDCgsLkyTHbLgk\n7dq1SxMmTJDJZJLValXXrl21a9cuR/gPCgqS2WyWl5eX6tatq5MnT8rHx0eJiYkKDg6WJDVu3Fj1\n69eXdOXbh8TEREfY9ff3l5+fn6Pt0KFDCg8PlyTVq1dPDz74oPbt2+f0Gvj8/HzH32vXrlVcXJxy\ncnKUmZmpWrVqOY43ISFBvXr1cmxz6dKlIs9TVlaWpkyZosOHD8tkMik5OVkJCQmO8N+hQwe5ublJ\nkmrXrq22bdvKbDaratWqqlChgpKSkhx9r1W3bl3FxMQ4XicmJur555+XJO3fv18NGjRQvXr1JEnh\n4eGaOnWq0tPT1bx5c82ePVuXL19Wy5Yt9dhjjzn20a5dO/n4+EiSevbsqWnTpjl1/go7ZwAAAEZU\nZsN/w4YNdeLECV28eLHQ2X93d3fH3y4uLsrNzZV0JfwOHz5cPXv2vOlxC9unJJlMppve3624ePGi\nTp48KT8/P+3du1crVqzQypUr5e3trbi4OH366aeSrhxveHi4Xnrppevup7Bjeuutt+Tr66sZM2bI\nYrFo8ODBBWbp/3e7G52b4tCpUyf5+/vrm2++0ZIlSxQdHa05c+b86f3d6JwBAAAYUZl92k+tWrUU\nGBioyZMnKz09XdKVGfzPPvtMGRkZN9w2MDBQy5cvdywbsdlsSkhIkCS1atVK0dHRys/PV3p6ujZu\n3KjWrVvfcH9Wq1UPPPCA1q9fL0n68ccflZiY6Gjz8/NTXFycJOnAgQMF2h588EHFxsZKurIcJiEh\nQf7+/kUe/7lz5zRhwgS1atVK9erV06VLl2S1WlWpUiXZbDZFR0cXON61a9cqKSnJcZ4OHjxY5Bhp\naWm69957ZbFYlJiYqL179xa5za3y9/dXQkKCjh07JunKvQoNGzaU1WrViRMn5Ovrqx49emjEiBGO\n+zIkadu2bTp37pykK09GuvZbgausVqvS0tIcr290zgAAAIyozM78S9KMGTP07rvvKjw8XK6ursrL\ny1Pbtm0dS1EKExoaqgsXLmjAgAGSrsyMP/3002rQoIFeeOEFvf76644lPN27d3fqBtyZM2dqwoQJ\nWrx4sfz8/OTn5ycvLy9J0qxZszR+/HgtWbJEfn5+aty4sWO7OXPmaPLkyVq6dKksFotmzZpV6Hr/\nnTt3KjQ0VFlZWXJzc1PHjh0dNyM/8cQTWrdunTp16qTKlSurWbNmjnDcvHlzjRo1SsOHD1dubq5y\ncnIUFBSkRo0a3fCYhg8frrFjx2r16tWqXbu2mjdvXuR5uFXe3t6aNWuWxowZI7vdLm9vb82ePVuS\ntGnTJsXFxcnV1VUmk0kTJkxwbNesWTONHj1aZ86cUb169TRu3Lg/7LtVq1b66KOP1L17d7Vo0UIR\nERGFnjMAAAAjMuVfu6gchcrIyJCHh4dMJpOOHj2qgQMHavPmzTw55ja4+kSfa2/wLQ3xiyJku5Ra\nqjUYzaNjP1BKSlqR/Xx9vZzqh9LDNSrbuD5lG9enbCtr18dsNqlKFWuh7WV65r8s+eGHHzRr1izH\nDbivv/46wR8AAADlCuHfSW3atFGbNm1KuwxD+vvf/17aJQAAANwRyuwNvwAAAACKF+EfAAAAMAiW\n/QBOavz8zNIuwXDstuyiOwEAAKcR/gEnpaamKy+Ph2MBAIDyi2U/AAAAgEEQ/gEAAACDIPwDAAAA\nBkH4BwAAAAyC8A8AAAAYBOEfAAAAMAjCPwAAAGAQhH8AAADAIAj/AAAAgEEQ/gEAAACDIPwDAAAA\nBkH4BwAAAAyC8A8AAAAYBOEfAAAAMAjCPwAAAGAQhH8AAADAIAj/AAAAgEEQ/gEAAACDIPwDAAAA\nBkH4BwAAAAyC8A8AAAAYBOEfAAAAMAjCPwAAAGAQhH8AAADAIAj/AAAAgEEQ/gEAAACDIPwDAAAA\nBkH4BwAAAAyC8A8AAAAYBOEfAAAAMAjCPwAAAGAQhH8AAADAICylXQBQXlSpYnWqX1Z2jtIuZZVw\nNQAAADeP8A84aeSba3T2fEaR/ZbP6q80Ef4BAEDZw7IfAAAAwCAI/wAAAIBBEP4BAAAAgyD8AwAA\nAAZB+AcAAAAMgvAPAAAAGAThHwAAADAIwj8AAABgEIR/AAAAwCAI/wAAAIBBEP4BAAAAgyD8AwAA\nAAZB+AcAAAAMgvAPAAAAGAThHwAAADAIwj8AAABgEIR/AAAAwCAspV0AUF7MHx/qdF9fX68SrATX\nU9zn3G7L1vmLtmLdJwAApY3wDzgpflGEbJdSS7sM3CaPjv1AEuEfAHBnYdkPAAAAYBCEfwAAAMAg\nCP8AAACAQRD+AQAAAIO4LeE/MDBQQUFBCgkJcfw7ffr07Ri6zLh48aJefvlldevWTcHBwQoJCdGu\nXbskSbt379bXX3/t1H5Onz6t+vXra+TIkQXeHzdunOrXr6/ExMRirTswMPCm+o8bN05RUVEF3ps5\nc6YiIyOLsyyHoUOH6uTJk5KkmJgYHT9+3KntrlcnAADAne62Pe1n/vz58vPzu13DlTlvv/22qlat\nqrlz58pkMun8+fO6fPmyJGnPnj3KzMxUmzZtnNpXpUqVlJiYqIsXL6pixYrKyMjQ3r17VbVq1Zuu\ny263y2Ipvw99WrJkiePv2NhYVa5cWbVr1y7FigAAAMquUl32c/r0abVs2fK6r6/+PW/ePIWGhqpT\np07au3dvgbYZM2YoODhYwcHBjrapU6fqgw8+cOzzp59+UqdOnZSfn6/09HRNnDhRPXv2VHBwsKZN\nm6bc3FxJ0okTJzRo0CAFBwcrLCxMO3bscOyjfv36WrRokcLDw9W+fXt9/vnnjrbPP/9cQUFBCg0N\n1aJFi1S/fn1lZGT84ViTkpJUtWpVmUwmSVLlypV133336fDhw1q5cqXWrFmjkJAQLV682Klz16VL\nF61fv16StHnzZnXo0KFAiP/oo48UHh6u0NBQ9enTR4cOHSpwPJGRkQoPD9eCBQvUrVs3HThwwNH+\n8ccf69VXX3XUKUmXL1/WyJEj1aVLF3Xv3l0vvfSSU3X+r9zcXM2cOVPdunVTt27dNHPmTMc1WLVq\nlTp37qyQkBAFBwfr2LFjkq58+zBnzhz16NFDHTt2LDBjHxgYqMTEREVHR+vgwYOaNm2aQkJCtHPn\nTh0+fFj9+vVTWFiYunTpoqVLl/6pmgEAAO4Ut23Kd+TIkXJ3d5ckubi4KCYmpshtLly4IH9/f40e\nPVrr1q3TnDlztHLlSkdbgwYNNG7cOO3evVsvv/yytmzZogEDBuj555/XkCFDZDKZFBUVpX79+slk\nMunNN99U8+bN9cYbbygvL09jxoxRdHS0evfurTFjxqh3797q1auXjh49qv79+2vTpk3y9vaWJFmt\nVkVHR+v777/XqFGj1KlTJ509e1aTJ0/WqlWrVKtWrRuGy7/+9a8aOXKk1q9fr0ceeUSBgYFq1aqV\n6tevr759+yozM1MRERFOn8+wsDC98sor6t+/v9asWaNJkybpiy++cLSHhoZq8ODBkqSdO3fqn//8\npz799FNHu7u7u6KjoyVJVatW1YoVK9SkSRPl5+drxYoVmj9/viQ5+nz99dfKyMjQxo0bJV1ZxlSY\nxYsX67PPPnO8Tk5OVr9+/SRdCfiHDh1yXP+hQ4dq1apV6tevn2bNmqVNmzbpnnvukc1mc3wokKTU\n1FTFxMTo7NmzCg0NVbNmzdSgQQNHe3h4uNasWaPBgwcrICBAkpSenq6lS5fKzc1NGRkZ6tWrl554\n4gnVrVvX6fMMAABwJynTy348PDwcQc7f318zZ850tLm6uqp79+6SpJYtW+quu+7Szz//rAYNGqh6\n9erasWOH/P399eWXX2r8+PGSpC+//FIHDhzQxx9/LEnKyspS1apVlZ6erkOHDik8PFySVK9ePT34\n4IPat2+fY817ly5dHHUkJycrOztb+/fvV8OGDVWrVi1JVwLom2++ed1jadWqlbZu3ardu3c7PkAM\nGTJEw4YNu6lzclX16tXl7u6u7du3KzMzU/Xr1y/QfvDgQb3//vu6ePGiTCaTfvnllwLtYWFhjr9D\nQkL07rvv6sKFCzpw4ICqVKlSIFhLUoMGDXTs2DFNnTpVLVq0ULt27QqtbdiwYRowYIDj9bXXbdeu\nXQoLC5Obm5skqUePHtqyZYv69eunxx57TOPGjVNAQIDatWun6tWrO7br2bOnJMnHx0ft2rXTnj17\n/lDj/8rKytKUKVN0+PBhmUwmJScnKyEhgfAPAAAMq1QXe1ssFuXn5zteZ2dnF2i/GhAlyWw2y263\nO7XfgQMHasWKFTp27JieeuopeXl5SZLy8/O1cOHCAqFSujJDXJRrv7WQ5HQt17JarWrfvr3at2+v\nRo0a6b333vvT4V+6Mrs/duxYvfjiiwXet9lseumllxQVFaWHHnpIZ86c0ZNPPlmgj4eHR4G/g4OD\nFRMToz179qh///5/GKt69epav369vv32W+3YsUPz5s1TXFyc47wUhwULFig+Pl7ffvut/vrXv2rK\nlClq27btn97fW2+9JV9fX82YMUMWi0WDBw/+w/8xAAAAIynVNf8+Pj7KycnRiRMnJMmxht0ZOTk5\niouLkyTt3btXWVlZqlOnjiSpbdu2On78uD7++GPHchPpyvrwxYsXO5aTnDt3TqdOnZLVatWDDz6o\n2NhYSdKxY8eUkJAgf3//G9bw8MMP66effnI8bebq9tfzzTffOD5k5Ofn66efftL9998v6cqHgrS0\nNKeP/aqgoCANGTJEwcHBBd632Wyy2+2qVq2aJGn58uVF7qtfv35atmyZDh48qKeeeuoP7UlJSXJx\ncVGHDh00fvx4nTt3ThcuXLjpmlu1aqU1a9YoJydHOTk5WrNmjVq3bi273a5Tp06pSZMmGjZsmB5/\n/PEC9ylcPbfnzp3T9u3bC9wrcpWnp2eB85iWlqZ7771XFotFiYmJjvtCAAAAjKpU1vxL0rRp09S4\ncWNNnDhRzz77rLy9vW+4lOR/VapUSQkJCY6be9966y3HNwVms1mhoaHasWNHgaUhEyZM0OzZsxUS\nEiKTySRXV1dNmDBB1atX15w5czR58mQtXbpUFotFs2bNcqz3L4yPj4+mTJmioUOH6u6771a7du3k\n6uqqu++++w99Dx8+rBkzZji+6ahZs6YmT54sSerQoYPjht+uXbtq2LBhjpt/b/QEH09Pz+t+c2C1\nWjVy5Ej17NlTlSpVUqdOnYo4m1dm9uvUqaMmTZoU+Mbl2vrnzp0rScrLy9OwYcP+1NOF+vTpo5Mn\nTzqWHbVp00a9e/dWbm6uxo0bp7S0NJlMJlWrVk2vvPKKY7vKlSurR48eSktL09/+9rc/LHO6uu8Z\nM2boww8/VEREhIYPH66xY8dq9erVql27tpo3b37T9QIAANxJTPnXrrspJ06fPq3w8HDt3r270D7P\nPvusevfurc6dO5doLenp6bJarZKu3By7evVqrVixokTHLAnp6ekKCgpSdHT0nwr1JSkwMFCLFi0q\n9UfFxi+KkO1SaqnWgNvn0bEfKCXl5r+Rw/X5+npxPsswrk/ZxvUp28ra9TGbTapSxVpoe/l9wHsh\n4uPjNXr0aDVs2NCpGe9b9e9//1ubN29Wbm6uKlasqGnTppX4mMVtxYoVeu+99zR48OAyF/wBAABQ\nfMrlzD9QGpj5NxZm/otXWZsZQ0Fcn7KN61O2lbXrU9TMf6ne8AsAAADg9iH8AwAAAAZxx635B0pK\n4+dnFt0Jdwy7jd+EAADceQj/gJNSU9OVl8ctMmVRWVtvCQBAWcWyHwAAAMAgCP8AAACAQRD+AQAA\nAIMg/AMAAAAGQfgHAAAADILwDwAAABgE4R8AAAAwCMI/AAAAYBCEfwAAAMAgCP8AAACAQdx0+D9z\n5owOHDigM2fOlEQ9AAAAAEqIxdmOv/32m8aMGaN9+/apYsWKunjxovz9/TV79mz95S9/KckaAQAA\nABQDp2f+IyIi9NBDD2nv3r3atWuXvvvuOzVq1Ejjxo0ryfoAAAAAFBOnZ/5//PFHffTRR3J1dZUk\neXp6asyYMWrZsmWJFQcAAACg+Dg98+/v768DBw4UeO/gwYN65JFHir0oAAAAAMXP6Zn/6tWra9iw\nYWrXrp3uvfdeJSUlafv27erWrZveeecdR7+XXnqpRAoFAAAAcGucDv82m01PPfWUJOncuXNyc3NT\nx44dlZ2draSkpBIrEAAAAHAzFn0AACAASURBVEDxcDr8v/nmmyVZBwAAAIAS5nT4P3XqVKFt1atX\nL5ZiAAAAAJQcp8N/x44dZTKZlJ+f73jPZDJJkg4dOlT8lQEAAAAoVk6H/4SEhAKvU1JStGDBAjVr\n1qzYiwIAAABQ/Jx+1Of/8vX11cSJE/XWW28VZz0AAAAASsifDv+S9PPPP+vy5cvFVQsAAACAEuT0\nsp9+/fo51vhL0uXLl3X06FGNGDGiRAoDAAAAULycDv+9evUq8Pruu+9WgwYNVKtWreKuCQAAAEAJ\ncDr8h4WFlWQdAAAAAEqY02v+c3JyNH/+fLVv316NGzdW+/btNX/+fNlstpKsDwAAAEAxcXrmf/bs\n2Tpw4ICmTp2q++67T7/99psWLlyo9PR0TZgwoSRrBAAAAFAMnA7/mzdv1tq1a1W5cmVJUp06ddSw\nYUOFhIQQ/gEAAIBywOllP9f+sq8z7wMAAAAoW5wO/0FBQRo+fLi++uorHTt2TDt27NCIESPUuXPn\nkqwPAAAAQDFxetnPP/7xD7333nt67bXXlJycrKpVq6pLly564YUXSrI+AAAAAMXEqfCfm5urV199\nVa+//rpeeumlkq4JAAAAQAlwatmPi4uLvvnmmwK/8AsAAACgfHF6zf+gQYMUGRnJc/0BAACAcsrp\nNf9RUVE6e/asPv74Y3l7e8tkMik/P18mk0nbtm0rwRIBAAAAFIeb+pEvAAAAAOWX0+F/165d133f\nzc1Nv/76q5544gn5+PgUW2EAAAAAipfTa/5/+eUXLVmyRLt379bJkye1e/duLVmyRIcOHdKKFSvU\noUMH7dixoyRrBQAAAHALnJ75z8vL07x589SxY0fHe1u2bNH69ev16aefKjY2VnPnztWTTz5ZIoUC\nAAAAuDVOz/x//fXXCgwMLPBeQECAY7a/e/fuOnXqVPFWBwAAAKDYOB3+a9SooRUrVhR4b+XKlapR\no4Yk6fz587r77ruLtzoAAAAAxcbpZT/Tpk3T3//+dy1ZskRVq1bVmTNn5OLiosjISEnS8ePH+fVf\nAAAAoAxzOvw/9NBD+vzzz7V//34lJyfL19dX/v7+cnV1lSQ1b95czZs3L7FCAQAAANwap8O/JLm6\nuqpZs2YlVQsAAACAEuT0mn8AAAAA5RvhHwAAADAIwj8AAABgEIR/AAAAwCAI/wAAAIBBEP4BAAAA\ng7ipR30CRlalitWpfnZbts5ftJVwNQAAADeP8A84KX5RhGyXUovs9+jYDyQR/gEAQNnDsh8AAADA\nIAj/AAAAgEEQ/gEAAACDIPwDAAAABkH4BwAAAAyC8F8O2Ww2zZgxQx06dFBQUJBCQ0O1ZcuWW9rn\n7t271aNHj2Kq8Pry8/O1bNkyde3aVV27dlVoaKgmTZqkS5cu3ZbxAwMDlZiYWKJjAAAAlGU86rMc\nmjJlijIzM7Vhwwa5u7srMTFRzz33nCpWrKjmzZuXdnmFevvtt/Xdd99p2bJl8vHxUX5+vv7f//t/\nunjxYrGNkZubKxcXl2LbHwAAwJ2E8F/O/Prrr9q0aZO2bt0qd3d3SZKfn5+ef/55LViwQMuWLVNM\nTIzWr1+vChUq6MiRI/Ly8lJkZKR8fX0lSe+//77Wr18vk8kkDw8PLV++XNKV4Dx58mT98MMPMplM\nmjdvnurWrauYmBht27ZN8+fPl6QCr4sa66qMjAx9/PHHWrNmjXx8fCRJJpNJTz31lCTpt99++9Pj\nr1u3Tp6enjpx4oRmz56trKwszZo1SxkZGZKksWPHqk2bNpKkTZs26dVXX1VKSooGDx6sAQMGlOTl\nAgAAKFNY9lPOJCYmqkaNGqpUqVKB9/39/ZWQkOB4HR8fr4iICG3YsEH16tVTVFSUJCk2NlZffvml\nVqxYoXXr1um9996T2Xzlv8HRo0fVt29fxcXFqXPnzlq4cKFTNRU21rWOHTsmNzc31alTp9D9/Nnx\n9+/fr4iICK1fv17VqlXTiy++qH/84x9at26dYmNj1bhxY0ffrKwsrVq1Sv/61780d+5cxwcEAAAA\nIyD8lzP5+flO9WvatKmqVasmSXr44Yd18uRJSdLWrVv19NNPy2q1SpIqV67s2KZ27dpq2LChpCsf\nJk6dOnVLY92sWxm/Ro0akqR9+/apbt26atq0qSTJxcVFFStWdPTt0qWLJOn+++9XhQoVlJSU9Kdq\nBQAAKI8I/+WMn5+fTp48qQsXLhR4f9++fapfv77j9dUlQdKVAJybm1vkvt3c3Bx/m81m2e12x/Z5\neXmOtuzs7ALbOTNW3bp1lZ2drePHjxf7+J6enjc8rputFQAA4E5F+C9n7r//fgUFBWnKlCmOEJyY\nmKhFixbpxRdfLHL7gIAArVixQunp6ZKk8+fPF7lNzZo1dfjwYdlsNtlsNn3++ec3Xbenp6eeeeYZ\nTZ48WampqZKufIuxZcuWImf4b2Z8f39/HTt2TD/88IOkK/cxFOcNxQAAAOUZN/yWQ//85z/11ltv\nqUuXLnJ1dZW7u7smTpyoFi1aFLltaGiozpw5oz59+shiscjDw0OffPLJDbfx9/dXq1at1LVrV91z\nzz1q0KCBUlJSbrrul19+WUuXLtXAgQMlXQn/zZo1U4sWLfTbb78Vy/iVKlVSZGSkZsyYoczMTJnN\nZkVERKh169Y3XS8AAMCdxpTv7CJywODiF0XIdim1yH6Pjv1AKSlpt6EiXOXr68U5L+O4RmUb16ds\n4/qUbWXt+pjNJlWpYi28/TbWAgAAAKAUEf4BAAAAgyD8AwAAAAZB+AcAAAAMgqf9AE5q/PxMp/rZ\nbdlFdwIAACgFhH/ASamp6crL4+FYAACg/GLZDwAAAGAQhH8AAADAIAj/AAAAgEEQ/gEAAACDIPwD\nAAAABkH4BwAAAAyC8A8AAAAYBOEfAAAAMAjCPwAAAGAQhH8AAADAIAj/AAAAgEEQ/gEAAACDIPwD\nAAAABkH4BwAAAAyC8A8AAAAYBOEfAAAAMAjCPwAAAGAQhH8AAADAIAj/AAAAgEEQ/gEAAACDIPwD\nAAAABkH4BwAAAAyC8A8AAAAYBOEfAAAAMAjCPwAAAGAQhH8AAADAIAj/AAAAgEEQ/gEAAACDIPwD\nAAAABkH4BwAAAAyC8A8AAAAYBOEfAAAAMAjCPwAAAGAQhH8AAADAIAj/AAAAgEEQ/gEAAACDIPwD\nAAAABkH4BwAAAAyC8A8AAAAYBOEfAAAAMAjCPwAAAGAQhH8AAADAIAj/AAAAgEEQ/gEAAACDIPwD\nAAAABkH4BwAAAAyC8A8AAAAYBOEfAAAAMAjCPwAAAGAQhH8AAADAIAj/AAAAgEFYSrsAoLyoUsVa\n2iWUCrstW+cv2kq7DAAAUAwI/4CT4hdFyHYptbTLuO0eHfuBJMI/AAB3Apb9AAAAAAZB+AcAAAAM\ngvAPAAAAGAThHwAAADAIbvhFoQIDA+Xm5iY3Nzfl5eVp+PDhOnr0qB544AF16dJFkZGRyszMVERE\nxE3ve+LEiQoLC1OzZs1KoHIAAABcD+EfNzR//nz5+fnpp59+Ut++fbVt2zZ5e3vf0j5zc3P1xhtv\nFFOFAAAAcBbhH05p2LChPD09NW7cOD355JMaMGBAgXabzabXX39de/bskbe3tx588EGdPXtW8+fP\nV0xMjNatWydPT0+dOHFCs2fP1vTp0zV48GAFBARo3LhxcnNz0y+//KJTp06pY8eOCggIUGRkpJKS\nkjRo0CANGjRIkjRz5kzt2bNHOTk5qly5sqZPn66//OUvkqSoqCj961//kpeXl9q2batPPvlEu3fv\nliRt375d7733nmw2m1xdXTV+/Hj5+/vf3pMIAABQygj/cMq3336r7OxsWSzX/y+zatUq/fbbb9qw\nYYNyc3M1cOBA3XvvvY72/fv3a+3atapRo8Z1tz9y5IiWLVum3NxcBQYGKi0tTVFRUUpJSVFQUJB6\n9uwpT09PDR061LHM6LPPPtOcOXM0b948JSQk6P3339fatWvl7e2tadOmOfZ98uRJLVy4UB9++KGs\nVquOHDmioUOHatu2bcV3ggAAAMoBwj9uaOTIkXJ3d5fValVkZKTi4uKu22/37t0KCQmRxWKRxWJR\n165d9f333zvamzZtWmjwl6QOHTrIzc1NklS7dm21bdtWZrNZVatWVYUKFZSUlKS6detqx44dWr58\nuTIzM2W32x3b79mzR23btnUsSerZs6ej1q+++konT55U//79Hf3tdrvOnj0rHx+fP39yAAAAyhnC\nP27o6pr/qwoL/0Xx9PS8Ybu7u7vjbxcXlz+8zs3N1a+//qo333xTq1evVvXq1fXf//5XY8aMcWr8\nJ554QrNmzfpTtQMAANwpeNQnikWLFi0UFxcnu92u7Oxsbdq0qdjHSE9Pl6urq3x9fZWXl6eVK1cW\nGH/Hjh06d+6cJCk2NtbR9vjjj+urr77SkSNHHO8dOHCg2OsDAAAo65j5R7Ho27evEhIS1LVrV1Wu\nXFl16tQp9jHq16+voKAgdenSRZUrV1bbtm21d+9eSVKDBg303HPPqW/fvrJarXrsscfk5eUlSapV\nq5Zmz56tiRMnKisrSzk5OWratKmaNGlS7DUCAACUZab8/Pz80i4Cd4b09HRZrVbZbDYNHz5cQUFB\n6tWr120fX5IiIyN14sQJzZkzp9j2H78oQrZLqcW2v/Li0bEfKCUlrbTLuCFfX68yX6PRcY3KNq5P\n2cb1KdvK2vUxm02qUsVaaDsz/yg2zz77rGw2m7Kzs9W6dWuFhYXd1vHnzp2r//73v8rJyVH16tX1\n2muv3dbxAQAAyjrCP4rNZ599Vqrj//Of/yzV8QEAAMo6bvgFAAAADILwDwAAABgEy34AJzV+fmZp\nl1Aq7Lbs0i4BAAAUE8I/4KTU1HTl5fFwLAAAUH6x7AcAAAAwCMI/AAAAYBCEfwAAAMAgCP8AAACA\nQRD+AQAAAIMg/AMAAAAGQfgHAAAADILwDwAAABgE4R8AAAAwCMI/AAAAYBCEfwAAAMAgCP8AAACA\nQRD+AQAAAIMg/AMAAAAGQfgHAAAADILwDwAAABgE4R8AAAAwCMI/AAAAYBCEfwAAAMAgCP8AAACA\nQRD+AQAAAIMg/AMAAAAGQfgHAAAADILwDwAAABgE4R8AAAAwCMI/AAAAYBCEfwAAAMAgLKVdAAAA\nAO48ubl2nT+fIrvdVtqllKjkZLPy8vJu+7hms4vuvtsqq7WiTCaT09sR/gEAAFDszp9P0V13ecjT\n896bCqfljcVilt1+e8N/fn6+cnPtSku7oPPnU+TtfY/T27LsBwAAAMXObrfJ07PCHR38S4vJZJLF\n4qpKlarIZsu6qW0J/wAAACgRBP+SZTKZJeXf1DaEfwAAAMAgCP8AAADADSxd+kFpl1BsCP8AAADA\nDfzrXx8V2pabm3sbK7l1hH8AAACUa999962GDBmoQYOe1tChg5SVlaVFixZo4MDeGjiwt6KjP5Uk\n/f77b+rXL9yx3caNcZo9e7ok6Y03pujtt2dr+PAh6tWru+Li1kiS3n33HeXk5OiZZ/ppzJiRkqTA\nwNZauHC+nnmmnzZv3qgBA3o59nnp0iX16NFVOTk5t+vwbwqP+gQAAEC5df78eU2f/preeec91ahR\nU+np6fr222908OABffzxcmVlZem55/6qJk0eltXqdcN9JSX9rgULFuvs2RQ9+2x/desWohEjXlJ0\n9CotXbrc0c9ms6l27Tp64YWRsljM+vzzzdq/f58efthfX3yxUQEB7eXq6lrSh/6nMPMPAACAcuvH\nH+PVuPHDqlGjpiTJarXqwIF96tChkywWi6xWq9q2DdC+fT8Uua+2bQPl4uKiqlXv1V133aWLFy9e\nt5/ZbFbHjkGO1yEhYdqwYa0kaf36derWLbQYjqxkEP4BAABwR7v6yFEXFxfl5f3fozFttuwC/a6d\nrTebzcrNtV93fxaLRRbL/y2gefzxJ7V//w/673/36q677lLt2nWKs/xiRfgHAABAudWoURPFx+/X\nyZMnJEnp6elq0sRf//nPF7Lb7crISNeOHVvl799U3t5VdOnSRZ0/f152u107dmx3agxXV1dlZ2cX\n2m6xWBQY2FGvvfaqunULKZbjKims+QcAAEC5ValSJU2YMFlTpkxQbm6e7rrrLr3zzntKSDikZ5/t\np/x8KTy8jx54wE+SNGTI3zRs2DPy8fFR3boPKD8/r8gxevTorWef7af77vuL5syZf90+nTp1UXT0\np2rf/qliPb7iZsrPz7+5nwUDDCo1Nb3AV4UoO3x9vZSSklbaZeAGuEZlG9enbCuv1ycp6YTuvbdm\naZdR4iwWs+z2PK1bF6vExASNGTP+to7/v+fZbDapShVrof2Z+QcAAABuwaRJEfr556OaN+/d0i6l\nSIR/AAAA4BZMmzaztEtwGjf8AgAAAAZB+AcAAAAMgvAPAAAAGAThHwAAADAIbvgFAABAifOqcJfu\ncnctuuNNysrOUdqlLKf62u12LV36gbZs+ULu7m4ym81q2rS5ataspT17dmnatFl/2Obrr7dr//59\nGjHipeIuvVQQ/gEAAFDi7nJ3Vb+xnxT7fpfP6q80ORf+p0+fquzsLH300b/l4eEpu92uDRvWKSfH\nVug2bdq0VZs2bYur3FJH+AcAAMAd79Spk9qxY6tiYjbKw8NTkmSxWBQS0kMbN8YpIyNDkyeP188/\nH5OXl1XTps1SlSo+2rgxTjt3fqVp02bpv//dq/nz31LDhg/pxx/jJZk0bdqbql69llJTz2rKlInK\nyMiQzWZT69aP64UXyt63Baz5BwAAwB0vMfGw7r+/hipUqHDd9kOHftKIES8pKupT1apVR6tXr7pu\nv+PHjyk0NFzLlq1UYGAHffzxh5Ikq9VLM2fO00cfRWnp0uVKSDikb7/dWWLH82cx8w846UY/lX0t\nuy1b5y8W/vUhAAAoe5o0eVhVq94rSXrooUb67rvd1+1Xo0ZN+fk1+P/7NdbOnV9JkvLy8rRw4TuK\njz8gKV+pqak6ciRRjz3W+rbU7yzCP+Ck+EURsl1KLbLfo2M/kET4BwCgLPHzq6/Tp0/q0qVL1539\nd3Nzc/xtNrsoNzf3uvtxc3O/pp/Z0W/Vqk+UlnZJixcvlbu7u2bOfEM2W3YxH8WtY9kPAAAA7njV\nq9fQ448/qdmzpyszM0OSlJubq7i4Nbp8OfOW95+WlqYqVXzk7u6ulJRkff319lveZ0lg5h8AAAAl\nLis7R8tn9S+R/Tpr0qSp+uijxRo8eKBcXS3Kz8/XY489rho1at5yHb169dWrr0Zo4MDe8vWtqkcf\nbX7L+ywJpvz8/PzSLgIoD25m2U9KStptqAhX+fp6cc7LOK5R2cb1KdvK6/VJSjqhe++99VBd1lks\nZtnteaU2/v+eZ7PZdMP7FFn2AwAAABgE4R8AAAAwCML/bRAYGKg2bdoUuGs8JiZG9evXV1RUVClW\nVnYEBgYqMTGxxPYfGRmpmTNnltj+AQAAygPC/21yzz336Ouvv3a8jo2N1UMPPVSKFd157HZ7aZcA\nAABQphH+b5OwsDDFxMRIkk6dOqXMzEz5+flJkrKzs9WmTRslJyc7+k+bNk2LFi3S6dOn1bJlS8f7\n176++ve8efMUGhqqTp06ae/evY6+UVFReuqppxQeHq758+c7tktNTdUzzzyj4OBgBQcHa/r06ZL+\nODt+7evIyEi9/PLLGjp0qIKCgjRs2DBdvnxZ0pVHW/39739XUFCQBg0apLFjxxY6y/7DDz/o6aef\nVvfu3dW9e/cCH4g2bdqkPn36KDAwsMA3IvXr11dGRsZ1X9evX1+RkZEKDw/XggULlJaWpvHjxys4\nOFjdu3fXa6+95tjuzJkz160fAADAKHjU523SokULLV++XBcvXlRsbKxCQ0P1448/SpLc3d0VGhqq\nTz/9VC+++KIyMjK0YcMGrV+/vsiAeuHCBfn7+2v06NFat26d5syZo5UrVyohIUHvv/++1q5dK29v\nb02bNs2xTVxcnGrUqKGlS5dKki5evOjUMRw8eFCrV6+Wl5eXhgwZori4OPXu3VvvvvuuKlSooM2b\nN+vChQvq0aOHOnXqdN1aX3zxRUVGRqpp06bKzc1Venq6oz0rK0urVq3S6dOnFRwcrLCwMHl6ehZZ\nl7u7u6KjoyVJ48ePl4eHh9auXSuz2axz584VWT8AAIBRMPN/m5hMJnXu3FkbNmzQhg0b1K1btwLt\n/fv3V0xMjOx2u9atW6fHH39cVapUKXK/Hh4eCggIkCT5+/vr1KlTkqQ9e/aobdu28vb2liT17NnT\nsc3DDz+sHTt2aObMmdq6das8PDycOoY2bdqoQoUKMplMatKkiU6ePClJ2r17t3r06CFJqlSpkjp0\n6HDd7fft26e6deuqadOmkiQXFxdVrFjR0d6lSxdJ0v33368KFSooKSnJqbrCwsIcf2/dulVDhgyR\n2Xzlv/bV479R/QAAoORVrugmX1+vYv9XuaJb0YPDgZn/2ygsLEy9evVS8+bNVbly5QJt1apVU6NG\njfSf//xHy5cvdyxXsViu/ADFVdnZBX8muuBPUZudWvf+yCOPKDY2Vjt37tTatWu1ePFirVixQi4u\nLsrL+7/n1P7vWO7u//dz1i4uLn9ov1X/u/+rN0i7uLg4zsH1xnT2w0tJ1w8AAApncXPX97OeK/b9\nPjr2A0m2Ivv17BmsWbPmqU6desrKytKECWPk4+OriIhJcnFxKfa6yipm/m+j6tWra/To0XrhhReu\n2z5gwABNnz5dFotFjzzyiCTJx8dHOTk5OnHihCRp/fr1To3VokUL7dixw7HsJTY21tF26tQpWa1W\nde3aVePHj9ePP/6ovLw81axZ0/F3enq6tm3b5vRYa9eulSRdunRJ//nPf67bz9/fX8eOHdMPP/wg\n6cpPajuz5KhGjRqKj4+XdGXJ0o0EBAToww8/dHxYuHbZDwAAQFpamkaPfkE1a9bW+PGTnQr+eXl5\nulN+F5eZ/9usT58+hba1aNFC7u7u6tevn+M9i8WiiRMn6tlnn5W3t7fatWvn1DgNGjTQc889p759\n+8pqteqxxx6Tl5eXpCtLgpYuXSqz2ay8vDxNnTpVZrNZHTt21MaNG9W5c2fdd999Tj+NaMSIERo/\nfryCgoLk6+urRo0ayWr94y/LVapUSZGRkZoxY4YyMzNlNpsVERGh1q1b33D/48eP1+TJk+Xl5aWg\noKAi+06fPl3dunWTi4uLWrRooUmTJjl1HAAA4M52/vx5vf76ZLVp01ZDhvxNkhQVtVSff75RkvTg\ngw9p1Kh/yMPDQx9++L7+v/buPSqqeu/j+IcZArmoKGBc9JRoXo5ZuaSQ6rHFaAdUBDpaJqlZinRM\nc+kyLys9GFpPSqbmjZPaxdXtOc/RfMxLR5PlU1mZpj1K3gqIhYIXUA83GWBmP39Uc9LyGjiD+/36\na2bvmd/+7v1bv+EzP/beU1CQr6qqSp04cVzZ2W/o22/3afXq12W31+qmm27S+PGTdNddd6qsrFSz\nZj2nqqoq1dbW6t5779PYsRPcuasX5WXcKF9jbgBFRUUaOnSotm7dKj8/v9/dXmVlpSuEL168WIWF\nhXr55Zd/d7sXqqurk9PplK+vryorKzV06FBNnz79sqG+qdmfPVW15WWXfV3PKSub5M+wN2Whoc05\n5h6OPvJs9I9na6r9c/x4ocLCbnE9Dw1t3min/VzJ8Rk8eKDOnavWQw89rNGjn5IkffHFDi1btkjZ\n2a/L3z9Ac+ZkKDg4RGPHPqNVq/6mjRvX6/XX31FQUJCOHTuqzMyZeuWVxQoICFR+fp4mT35G69dv\nVlXVOTkcDvn7+6u+vl6TJo1TauoI9erV+FnowuNssXgpOPjXk7A/Y+bfQyxatEhr1qzRtGnTGiT4\nS9L8+fO1Z88e1dXVqV27dufd9rIhlZeXKy0tTQ6HQ3a7XYmJiTdc8AcAAE1fr173adu2LUpJGaSQ\nkFDt3v2V+vT5kwICfgzLSUl/1qJF/54ojY29T0FBQZKknTu/0LFjR/X002Nc6x0Oh8rKyuTj00zL\nli3S/v37JBkqKyvTd98duS7h/2oR/j3EhAkTNGFCw/57KCMjo0Hbu5jg4GDXbxgAAAB4qsceG6Ed\nOz7V+PHpWrz4b5d9vZ/fv28qYhiGYmJiNXPm+ZOp3t4WrVz5mioqyvXaa2/K19dXc+e+oNpaz7yx\nCBf8AgAAwDSGD39C/folavz4dHXu3EU5OVtVXV0lwzC0YcM63X13zG++7557emnnzi+Un5/nWnbw\n4I+/2VRRUaHg4BD5+vrq1KmT+uyz/70u+3ItmPkHAABAo6uvtf90W86Gb/dqjRjxpAzD0BtvrNCD\nDyYoPf0JSVKXLn/U44+P+s33tGv3B/31r7P10kuzZbfbVV9fp+7d71T37t318MOPaubMqRo+/BGF\nht6snj3v/l371Ji44BdoYPW1dp351+XvN4yG01QvhjMT+siz0T+eran2z4UXot6ovL0tqq93Xv6F\njYQLfoFGUlZWKaeT78oAAKDp4px/AAAAwCQI/wAAAIBJEP4BAAAAkyD8AwAAACZB+AcAAABMgrv9\nAAAAoNG1aOkrXx+fBm/XXlur8n9d/l7/gwcPVF1drdau3SSr1SpJ2rTpQ7344vOaOPFZDRo0pMFr\nu5T774/Wli2fyN/fX5MnP6OJE6coMrJto2+X8A8AAIBG5+vjo5FvTGjwdt98YpGkK/uhr+DgUH31\n1ReKjb1f0o/hv1OnLg1e09V6+eVXr9u2CP8AAAAwhf79E7Vp0wbFxt6vY8eOqqamRh06dJQkVVdX\na+HCLB08+K0kKSFhgB577HFJ0rhxY9S1azfl5u5TaWmpbLa++stfxkuSCgrylZmZoZqac7rtts46\nerRIjz8+Svfd9x86erRIWVkv6uzZM7JarRoz5mn16nXvr+oaPHig5s1boKiojnrvvbe1bdsWORz1\n8vHx1eTJ03TbbZ0bLLucwAAACplJREFU7BgQ/gEAAGAKPXpE64MP/qHy8nJ99NFGJST01+HDhyRJ\nb765Uk6nU6tX/5eqq6uUnv6koqI6Kjb2PknSiRPHtXTpClVXV2vIkGQlJiarXbs/aNasGXrkkVTF\nx/fXoUMHNGbMSNf2nn9+hpKTH1JiYooKCvI1blya3n77H2rVqtVFa0xIGKChQ4dJknbt2qmsrP/U\na6+92WDHgAt+AQAAYApeXpLN9qC2bduijz/+px58MMG1bvfurzRw4EPy8vJSQECg+vb9k3bv/sq1\nPi6ujywWiwIDA3XLLe117NhRVVVVKj8/z9VOly5//MV/Eqr0/fdH1L9/kiSpffsodezYWd9+u/+S\nNR4+fFBPP52m4cMf0ZIlC/T990ca9Bgw8w8AAADTSEgYoPT0kbrzzh5q2TLoit/n4+PremyxWORw\nOFzPvby8GqS2uro6zZw5VUuWrFDnzl1UWnpKKSn9GqTtnzHzDwAAANOIjGyrtLSxGjly9HnLo6Pv\n0caN/yPDMFRdXaVt27bo7rtjLtlWQECg2rfvoK1b/ylJOnz4kPLz8yRJ/v4B6tixkzZv3iBJ+uGH\nAuXlHVG3bt0v2l5trV0Oh0Nt2twsSVq79r+veT8vhpl/AAAANDp7be1Pd+Zp+HavVnLyn3+1bOTI\n0VqwYJ5GjPjxlp/x8f1/8+LcC2VkZGrOnFl6++03FBXVUVFRHRQYGPjTujnKynpRf//7u7JarZox\nI/OS5/sHBARq1Kh0paWNUIsWLRUX1+eq9+1yvAzDMBq8VeAGVFZWKaeT4eKJQkOb69SpCneXgUug\njzwb/ePZmmr/HD9eqLCwW9xdRqOrra3RTTf5ysvLSwUF+Ro/Pl3vvrtGLVq0uC7bv/A4WyxeCg4O\nvOjrmfkHAAAArtH+/f+nV19dKOnHCcKpU5+7bsH/WhD+AQAAgGsUExOrt9669LUBnoQLfgEAAACT\nIPwDAACgUXBpaeMyDKekq7vNKOEfAAAADc7b20dVVeV8AWgEhmGovr5OZ8+Wysen2VW9l3P+AQAA\n0OBatQrVmTOnVFl51t2lNCqLxSKn0+mG7Vrl5xeowMCWV/U+wj8AAAAanNXqrZCQcHeX0eia2q1Y\nOe0HAAAAMAnCPwAAAGASnPYDXCGL5equpsf1Rf94PvrIs9E/no3+8Wye1D+Xq8XL4BJsAAAAwBQ4\n7QcAAAAwCcI/AAAAYBKEfwAAAMAkCP8AAACASRD+AQAAAJMg/AMAAAAmQfgHAAAATILwDwAAAJgE\n4R8AAAAwCcI/AAAAYBKEf+ASCgoKNGTIEMXHx2vIkCH64Ycf3F2S6c2dO1c2m02dO3fWkSNHXMvp\nK/c7c+aM0tLSFB8fr4EDB2rcuHE6ffq0JOmbb75RUlKS4uPj9eSTT6qsrMzN1ZrX2LFjlZSUpJSU\nFKWmpurgwYOSGEOeZsmSJed9zjGGPIPNZlNCQoKSk5OVnJysTz/9VFIT6x8DwEUNHz7cWLdunWEY\nhrFu3Tpj+PDhbq4Iu3btMoqLi424uDjj8OHDruX0lfudOXPG+PLLL13PX3rpJWP69OmGw+Ew+vbt\na+zatcswDMNYunSpMW3aNHeVaXrl5eWux1u3bjVSUlIMw2AMeZLc3Fxj1KhRrs85xpDnuPBvj2EY\nTa5/mPkHLqKsrEwHDhxQYmKiJCkxMVEHDhxwzWTCPaKjoxUeHn7eMvrKMwQFBSkmJsb1/K677lJx\ncbFyc3Pl6+ur6OhoSdKjjz6qjz76yF1lml7z5s1djysrK+Xl5cUY8iC1tbXKzMzUrFmzXMsYQ56t\nqfWPt7sLADxVSUmJbr75ZlmtVkmS1WpVmzZtVFJSotatW7u5OvwSfeV5nE6n3nvvPdlsNpWUlCgi\nIsK1rnXr1nI6nTp79qyCgoLcWKV5Pffcc9qxY4cMw9DKlSsZQx5k0aJFSkpKUtu2bV3LGEOeZfLk\nyTIMQz179tSkSZOaXP8w8w8AaHCzZ8+Wv7+/hg0b5u5S8BteeOEFbd++XRMnTtS8efPcXQ5+snfv\nXuXm5io1NdXdpeAi3nnnHa1fv15r1qyRYRjKzMx0d0lXjfAPXER4eLhOnDghh8MhSXI4HDp58uSv\nTjmB+9FXnmXu3LkqLCzUwoULZbFYFB4eruLiYtf606dPy2KxeOSMmNmkpKRo586dCgsLYwx5gF27\ndikvL099+vSRzWbT8ePHNWrUKBUWFjKGPMTPY8LHx0epqanas2dPk/uMI/wDFxEcHKyuXbtqw4YN\nkqQNGzaoa9eu/AvcA9FXnuOVV15Rbm6uli5dKh8fH0nS7bffrpqaGu3evVuS9P777yshIcGdZZpW\nVVWVSkpKXM9zcnLUsmVLxpCHGDNmjD777DPl5OQoJydHYWFhWrVqlUaPHs0Y8gDV1dWqqKiQJBmG\noU2bNqlr165N7jPOyzAMw91FAJ4qLy9P06ZNU3l5uVq0aKG5c+cqKirK3WWZ2pw5c7RlyxaVlpaq\nVatWCgoK0saNG+krD/Ddd98pMTFRt956q5o1ayZJatu2rZYuXao9e/YoIyNDdrtdkZGRysrKUkhI\niJsrNp/S0lKNHTtW586dk8ViUcuWLTV16lR169aNMeSBbDabsrOz1alTJ8aQBygqKtL48ePlcDjk\ndDrVoUMHzZgxQ23atGlS/UP4BwAAAEyC034AAAAAkyD8AwAAACZB+AcAAABMgvAPAAAAmAThHwAA\nADAJwj8AAABgEoR/AACaEJvNps8//9zdZQBoogj/AAAAgEkQ/gEA+B1KSko0btw49erVSzExMcrM\nzJTT6dSyZcsUFxen2NhYTZkyRRUVFZKknTt3qnfv3ue18cvZ/MWLF2vChAmaMmWKevTooQEDBmj/\n/v2SpGeffVbFxcV66qmn1KNHD61YseL67iyAJo/wDwDANXI4HEpPT1dERIRycnL0ySefqH///lq7\ndq0++OADrV69Wh9//LGqq6uVmZl5xe3m5ORowIAB2r17t2w2m2bPni1JysrKUkREhLKzs7V3716l\npaU11q4BuEER/gEAuEb79u3TyZMnNWXKFPn7+8vX11fR0dH68MMPNXLkSLVr104BAQGaNGmSNm3a\npPr6+itqt2fPnnrggQdktVqVnJysQ4cONfKeADALwj8AANeopKREERER8vb2Pm/5yZMnFRkZ6Xoe\nGRmp+vp6lZWVXVG7ISEhrsfNmjWT3W6/4i8OAHAphH8AAK5ReHi4SkpKfhXM27Rpo2PHjrmeFxcX\ny9vbW8HBwfLz81NNTY1rncPh0OnTp69bzQDMjfAPAMA1uuOOOxQaGqr58+erurpadrtdX3/9tRIT\nE/XWW2+pqKhIVVVVWrBggfr16ydvb2+1b99edrtd27dvV11dnZYvX67a2tor3mZISIiKiooaca8A\n3MgI/wAAXCOr1ars7GwVFhYqLi5OvXv31ubNmzVo0CAlJSVp2LBh6tOnj3x8fDRz5kxJUvPmzZWR\nkaEZM2aod+/e8vPzU1hY2BVvc8yYMVq+fLmio6O1atWqxto1ADcoL8MwDHcXAQAAAKDxMfMPAAAA\nmAThHwAAADAJwj8AAABgEoR/AAAAwCQI/wAAAIBJEP4BAAAAkyD8AwAAACZB+AcAAABM4v8Bk1bh\n8EArwSYAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lqzGXL8U2jYD",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 502
        },
        "outputId": "da6b14c8-5930-47bd-bdd8-0f57e6cd0b29"
      },
      "source": [
        "sns.countplot(y='group',data=df, hue='group');"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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RmjNnjoYNG2bb7+3trQEDBmj79u22b08k5XrNAAAAjMhhw789atasqVKlSkmSHnvsMe3c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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Vdrbxrpx2xvW",
        "colab_type": "text"
      },
      "source": [
        "Confirmed Patients "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_aBrFlqK21cT",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 506
        },
        "outputId": "16cf8c48-3699-4080-b1cf-e1acaf46a3b7"
      },
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "sns.countplot(y='group',data=df, hue='confirmed_date');"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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e0aK5kDw2nOTQNiSPttHU81hVt5/GbPV58uQJHnvsYby9faytOr28bkene54D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\nFkIIIYQQQtQv1d7zP3r0aFasWIHRaLyd6xFCCCGEEELcJtXe8//OO+9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p0oW8vDy7zN+8\neXNWrFjBwoULKS0tRaFQEB8fz8MPP1zj9QohhBBC/NlItR8hqkmq/dReXa9oUV9IHGtPYmgfEkf7\nqOtxlGo/dVtNq/3InX8hqqmqf0h1QdnVcq4U/HynlyGEEOIu0Kx5Yxo52T+NrM7PssLCAubPn8eZ\nM6dxcnKidWsvZs3S4uFxDwcO5KDTpWAwGPD0tNT5d3NrQW7uSXS6FC5evICDgwP+/gHExsbTsGEj\nAHbs2EZGRhomkwlfX3+02kQaNWpU4fyVtc3J2U96ehrFxZZf5IKDQ5g8earNgWK/On/+HMnJczly\n5BCtW3vx+utvW98zmUysXLmcPXt2U15eziOPdGfKlGkVjnMr5M6/ENU04dOdnCstu9PLqFR2dFid\nvnMEdf/uVn0hcaw9iaF9SBzto67HsaI7/x4ezej/4ft2n2vD4GE3jUVRUSHHjh2lY8fOAKSnp1FU\nVEhCwjyGDIlCq00iMDCINWteIy/vDFptImfP5nHlShE+Pn6YzWaSkhLw9m7DmDHjKS0tZfjwgaSn\nr0aj8WLhwvmoVGrGjn3mhrmranvixDGcnJRoNF4YjUamTZtEZOQgwsP73TBOcXExx48fpaSkhNdf\nX2WT/H/88Ud89dUWFi9eDkB8/Az69OlHz569K4yH3PkX4jZ5tU/dfm6g7Gr5nV6CEEIIcdu5uLha\nE3+AgID2ZGVlcujQQZRKJYGBQQBERQ1myJAItNpEPD1b4enZCrBUFPT3D+DkSUsFwl27duLn549G\n4/VLv2hefDGpwuS/qrbe3m2t7ZRKJT4+vuj1Zyv8DE2bNiUw8EG++27PDe8dO3aUzp274OhoSdMf\neqgL//73Z5Um/zUlyb8Q1SR7/oUQQoi6xWw2k5WVSUhId/R6PWq1p/W95s2bYzabKSoqxMXltzN/\nDIYyNm5cx8SJUwDIz9ejUv3WT6VSc+5cfoXzVbft5cuX2Lp1Czrd8hp/Jl9fPz75ZD0DBw4BYPv2\nr6xbiexBkn8hhBBCCFEvpabqcHZuTHT0UHbs+Oqm7cvLy0lM1NKpU2dCQnrcljWVlpYQHz+D4cNH\n4ePjV+P+fftGkJd3hkmTxtGkSRP8/QP47rtv7LY+Sf6FEEIIIUS9s3Llck6fzmXRolQUCgVqtdpm\nm01BQQEKhcJ6199kMpGcPJdmzVyIiZllbadSqdm797ftN/n5elq2VAGwdOkicnL2A5CcnFJlW4Cy\nsjLi4qbTpUtXRowYZb0+Z85Mzp61lDXPyFiNs3PlB5QqFAomTJjMhAmTAXj33be47z7vmgeoEpL8\nCyGEEEKIemXVqnQOHz6ITpeGUqkEwM/PH4PBwP79+wgMDCI7+0NCQ3sClu1BKSlJKBQKZs+ea1M5\np2vXYFJTF3PqVC4ajRfZ2ZmEhVn6xcbG28zr7u5RaVuDwUB8/HTatWvP+PETbfotWLCk2p/NYDBw\n9epVmjZtil6vJyvrQ/7+d13Ng1QJSf6FEEIIIUS9ceLEcd5++000Gi8mTnwaAE/PVuh0y5g7Nxmd\nLgWj0YhabSn1CZYHdTdt+hRv7zaMG2c5bLRDh0BiY+Nxdm5CXJyWuLgYzGYz99/vy7RpMyucu6q2\nGzZ8zN6931JYWMjXX+8CIDT0MUaPHnfDOCaTicGDI7h61UhxcTEDB/alf/9Ixo17lpKSYp5//lka\nNFAAMGnS8/j61nz7UGWk1KcQ1SQP/NZeXS9nV19IHGtPYmgfEkf7qOtxrKjU552s818ZOeTLQkp9\nCiGEEEIIu7pS8DN199cVURXFnV6AEEIIIYQQ4o8hyb8QQgghhBB3CUn+hRBCCCGEuEtI8i+EEEII\nIcRdQpJ/IYQQQggh7hKS/AshhBBCCHGXkFKfQgghhBCiRu5knf/CwgLmz5/HmTOncXJyonVrL2bN\n0uLhcQ8HDuSg06VgMBjw9LQc8uXm1oLc3JPodClcvHgBBwcH/P0DiI2Np2HDRgDs2LGNjIw0TCYT\nvr7+aLWJNGrUqML5K2ubk7Of9PQ0iostRVCDg0OYPHmqzWnCv9q+fStvvvkaV68auXYN+vUbwIgR\no6zvr1nzGp98sh6Avn0jGDNm/C3FsyJyyJcQ1SSHfNVeXT/Ipr6QONaexNA+JI72UdfjWNEhXx4e\nzRjw4Xq7z7VucMRNY1FUVMixY0fp2LEzAOnpaRQVFZKQMI8hQ6LQapMIDAxizZrXyMs7g1abyNmz\neVy5UoSPjx9ms5mkpAS8vdswZsx4SktLGT58IOnpq9FovFi4cD4qlZqxY5+5Ye6q2p44cQwnJyUa\njRdGo5Fp0yYRGTmI8PB+N4zzv/8dQKVS4e7uQXFxMePGjUKrTSQw8EH27fuO1NTFvPrqGgAmTBjD\n9OlxBAV1rDAeNT3kS7b9CCGEEEKIesPFxdWa+AMEBLRHr9dz6NBBlEolgYFBAERFDebLLzcD4OnZ\nCh8fPwAUCgX+/gHo9WcB2LVrJ35+/mg0Xr/0i+aLLz6vcO6q2np7t7VeVyqV+Pj4Wuf4vYCA9ri7\newDQtGlT7r33r9a2X3zxOb1796Nhw0Y0bNiI3r37VbqeWyHJvxBCCCGEqJfMZjNZWZmEhHRHr9ej\nVnta32vevDlms5miokKbPgZDGRs3riMkpDsA+fl6VKrf+qlUas6dy69wvuq2vXz5Elu3buHhh0Nu\n+hlOnvyJH37IoVOnh6xzXP85LHPobzpOdUnyL4QQQggh6qXUVB3Ozo2Jjh5arfbl5eUkJmrp1Kkz\nISE9bsuaSktLiI+fwfDho6zfNlTmwoULzJ49gxkzZlu/Cbjd5IFfIYQQQghR76xcuZzTp3NZtCgV\nhUKBWq222WZTUFCAQqHAxcUVAJPJRHLyXJo1cyEmZpa1nUqlZu/ePdbX+fl6WrZUAbB06SJycvYD\nkJycUmVbgLKyMuLiptOlS1ebB3jnzJnJ2bN5AGRkrMbZuQmXL18iJmYyTzzxFGFhPW3Wc/3nsMyh\nrl2wriPJvxBCCCGEqFdWrUrn8OGD6HRpKJVKAPz8/DEYDOzfv4/AwCCysz8kNNSSVJvNZlJSklAo\nFMyePdemAk/XrsGkpi7m1KlcNBovsrMzrcl4bGy8zbzu7h6VtjUYDMTHT6ddu/aMHz/Rpt+CBUts\nXhcWFhATM4Xo6KH07x9l815o6GOkpS0hOnoIAJs2bbT5ZaW2pNqPENUk1X5qr65XtKgvJI61JzG0\nD4mjfdT1OFZU7edOlvo8ceI4Tz01DI3Gy1qq09OzFTrdMvbu3YtOl4LRaESttpT6bNHiHnbu3EFc\nXAze3m1QKBwA6NAh0Jrcb9++lYyMlzCbzdx/vy8JCUk0bty4wvkra5uZ+QFpaUvw9m5rbRsa+hij\nR4+7YYz09DQyMz/Ay+u3uA4ZMpx+/QYA8Prrq/jss08ACA/vy7hxz1Yaj5pW+5HkX4hqkuS/9ur6\nD7j6QuJYexJD+5A42kddj2NFyX9d5OiooLzcfKeX8YeTUp9CCCGEEEKICknyL4QQQgghxF1Ckn8h\nhBBCCCHuEpL8CyGEEEIIcZeQ5F8IIYQQQoi7hCT/QgghhBBC3CXkkC8hhBBCCFEjd7LOf2FhAfPn\nz+PMmdM4OTnRurUXs2Zp8fC4hwMHctDpUjAYDHh6Wur8u7m1IDf3JDpdChcvXsDBwQF//wBiY+Ot\n5wTs2LGNjIw0TCYTvr7+aLWJNGrUqML5K2ubk7Of9PQ0iostZVuDg0OYPHmqzYFiv9q+fStvvvka\nV68auXYN+vUbYD0R+OjRwyxbtogjRw4THPwIL764uDYhvYHU+ReimqTOf+3V9VrW9YXEsfYkhvYh\ncbSPuh7Hiur8e3g0Iypzi93nyo4Ou2ksiooKOXbsKB07dgYsB2YVFRWSkDCPIUOi0GqTCAwMYs2a\n18jLO4NWm8jZs3lcuVKEj48fZrOZpKQEvL3bMGbMeEpLSxk+fCDp6avRaLxYuHA+KpWasWOfuWHu\nqtqeOHEMJyclGo0XRqORadMmERk5iPDwfjeM87//HUClUuHu7kFxcTHjxo1Cq00kMPBBLlw4T35+\nPkePHmbPnt03Tf6lzr8QQgghhPjTcnFxtSb+AAEB7dHr9Rw6dBClUklgYBAAUVGD+fLLzYDlBGAf\nHz8AFAoF/v4B6PVnAdi1ayd+fv5oNF6/9Ivmiy8+r3Duqtp6e7e1Xlcqlfj4+Frn+L2AgPa4u3sA\n0LRpU+6996/Wtu7uHgQEtEepVN5ihKomyb8QQgghhKiXzGYzWVmZhIR0R6/Xo1Z7Wt9r3rw5ZrOZ\noqJCmz4GQxkbN64jJKQ7APn5elSq3/qpVGrOncuvcL7qtr18+RJbt27h4YdDbvoZTp78iR9+yKFT\np4du2tYeJPkXQgghhBD1UmqqDmfnxkRHD61W+/LychITtXTq1JmQkB63ZU2lpSXEx89g+PBR1m8b\nKnPhwgVmz57BjBmzrd8E3G7ywK8QQgghhKh3Vq5czunTuSxalIpCoUCtVttssykoKEChUODi4gqA\nyWQiOXkuzZq5EBMzy9pOpVKzd+8e6+v8fD0tW6oAWLp0ETk5+wFITk6psi1AWVkZcXHT6dKlq/UB\nXoA5c2Zy9mweABkZq3F2bsLly5eIiZnME088RVhYT3uGpkqS/AshhBBCiHpl1ap0Dh8+iE6XZt0b\n7+fnj8FgYP/+fQQGBpGd/SGhoZak2mw2k5KShEKhYPbsuTYVeLp2DSY1dTGnTuWi0XiRnZ1pTcZj\nY+Nt5nV396i0rcFgID5+Ou3atWf8+Ik2/RYsWGLzurCwgJiYKURHD6V//yj7BucmJPkXQgghhBD1\nxokTx3n77TfRaLyYOPFpwPJAr063jLlzk9HpUjAajajVllKfYHlQd9OmT/H2bsO4cU8C/8/evcdF\nWaeP/385wKCAiAjO0DqjYXIQXUjN1GX1g9XmhnlCi9JSQ/upHUBRDkMKi0bSaIQK5VbfbHO3djdU\nPNS2ZXitTpcAACAASURBVFq6rbkVuajZppagMBgKg0jMMDP+/qCmJYeDMgUs1/MvZu7rfr/fc2UP\nLu657+sNw4eHk5iYjIeHJ0lJOpKSErDZbAwZEkx8/HKHc7cUu3t3IUVFn2A0Gjl8+BAAUVG3MXdu\n3FXjbN36CqWlJRQWbqOwcBsAs2bFEh09hfLyMpYsWUB9fT1ms4np0+8iLu5hp/2RIK0+hWgjafXZ\nfp29nV1XIXlsP8mhc0genaOz59FRq8+O7PPfHFdXBRaLzckr6vyutdWnXPkXQgghhBDX5FL1t3Te\nP1dES6TbjxBCCCGEEN2EFP9CCCGEEEJ0E1L8CyGEEEII0U1I8S+EEEIIIUQ3IcW/EEIIIYQQ3YQU\n/0IIIYQQQnQT0upTCCGEEEJck94+HvR0c3H6uPUNVi5V17UYYzRWs3r1Ks6dO4ubmxsDBmhZsUKH\nv38/jh4tRq/PwmQyERDQuMlX376+lJScQa/P4sKFSlxcXAgNDSMxMRl3954AHDz4Afn5uVitVoKD\nQ9Hp0unZs6fD+ZuLLS4+Ql5eLrW1jU1Qx46NZMmSx5vsJvy9Awf28/LLL9LQYObKFYiOnsJ9980B\nYOfO7RQU/JkrV67Qo0cP7r//Qe688672pLUJ2eRLiDaSTb7ar7NvZNNVSB7bT3LoHJJH5+jseXS0\nyZe/f29iCj52+lwFMaNazUVNjZGTJ79kxIhRAOTl5VJTYyQtbRWzZk1Dp8sgPDyCLVtepKzsHDpd\nOuXlZVy6VENQUAg2m42MjDQCAwczb94C6urqiI2dTl7eC2g0WtauXY1KpWb+/IVXzd1S7OnTJ3Fz\nU6LRaDGbzcTHL2bq1BlMmhR91TjHjh1FpVLh5+dPbW0tcXFz0OnSCQ+/mU8//ZibbhqCt3cfzp+v\nYP78+3nxxVcJCLjBYT6udZMvue1HCCGEEEJ0Gd7efeyFP0BY2DAMBgMnTnyOUqkkPDwCgGnTZrJv\n37sABATcQFBQCAAKhYLQ0DAMhnIADh36kJCQUDQa7XfnxbB37zsO524pNjDwJvv7SqWSoKBg+xw/\nFhY2DD8/fwC8vLwYOPBGe+yIEaPw9u4DQP/+Kvr18+P8+fPXkyqHpPgXQgghhBBdks1mY/v2AiIj\nx2MwGFCrA+zHfHx8sNls1NQYm5xjMtWzZ89OIiPHA1BRYUCl+uE8lUrN+fMVDudra2xV1UX273+P\nceMiW/0MZ858zfHjxYwcectVxz799GNqa2sJCQlpdZy2kuJfCCGEEEJ0STk5ejw8ehETc0+b4i0W\nC+npOkaOHEVk5ISfZE11dZdJTl5GbOwc+7cNzamsrCQlZRnLlqXYvwn43ldfnWbNmnTS05+0P5vg\nDPLArxBCCCGE6HI2bXqWs2dLyM7OQaFQoFarm9xmU11djUKhsN9CY7VaycxcSe/e3iQkrLDHqVRq\niop+eH6hosJA//4qANavz6a4+AgAmZlZLcYC1NfXk5S0lNGjx9gf4AVITV1OeXkZAPn5L+Dh4UlV\n1UUSEpYwe/aDTJx4e5PPVlpawooV8axYobPfxuQsUvwLIYQQQoguZfPmPL744nP0+lyUSiUAISGh\nmEwmjhz5jPDwCHbseIOoqMai2mazkZWVgUKhICVlZZMOPGPGjCUn52lKS0vQaLTs2FFgL8YTE5Ob\nzOvn599srMlkIjl5KUOHDmPBgkVNznvqqXVNXhuN1SQkPEJMzD1MnjytybFz586ybNljJCQsZ+zY\nXzkhW01Jtx8h2ki6/bRfZ+9o0VVIHttPcugckkfn6Ox5dNTtpyNbfZ4+fYoHH7wXjUZrvx0mIOAG\n9PpnKCoqQq/Pwmw2o1Y3tvr09e3Hhx8eJCkpgcDAwSgUjesePjzcXtwfOLCf/PwN2Gw2hgwJJi0t\ng169ejmcv7nYgoK/kJu7jsDAm+yxUVG3MXdu3FVj5OXlUlDwF7TaH/I6a1Ys0dFTeOKJZP71r0ME\nBPzCfmzx4se49daxDtdzrd1+pPgXoo2k+G+/zv4LrquQPLaf5NA5JI/O0dnz6Kj474xcXRVYLLaO\nXsbPTlp9CiGEEEIIIRyS4l8IIYQQQohuQop/IYQQQgghugkp/oUQQgghhOgmpPgXQgghhBCim5Di\nXwghhBBCiG5CNvkSQgghhBDXpCP7/BuN1axevYpz587i5ubGgAFaVqzQ4e/fj6NHi9HrszCZTAQE\nNPb579vXl5KSM+j1WVy4UImLiwuhoWEkJibb9wk4ePAD8vNzsVqtBAeHotOl07NnT4fzNxdbXHyE\nvLxcamsb27aOHRvJkiWPN9lQ7HsHDuzn5ZdfpKHBzJUrEB09xb4j8KFDH/Lccxvp0aMHFouFX/96\nAg8/vMThONdD+vyLZk2cOBGlUolSqcRms7F48WJOnjzJkCFDuOuuu9i4cSN1dXUkJye3PtiPpKWl\nMX36dEaNGvUTrPynIX3+26+z97LuKiSP7Sc5dA7Jo3N09jw66vPv79+b2G1fO32u12cMajUXNTVG\nTp78khEjGmuIvLxcamqMpKWtYtasaeh0GYSHR7Bly4uUlZ1Dp0unvLyMS5dqCAoKwWazkZGRRmDg\nYObNW0BdXR2xsdPJy3sBjUbL2rWrUanUzJ+/8Kq5W4o9ffokbm5KNBotZrOZ+PjFTJ06g0mToq8a\n59ixo6hUKvz8/KmtrSUubg46XTrh4TdTV1eHu7s7Li4uWCwWFi9+iLlz44iMnOAwH9LnXzjVhg0b\n2LlzJ08//TSpqak88MAD3HXXXe0a02q18uSTT3apwl8IIYQQnYO3dx974Q8QFjYMg8HAiROfo1Qq\nCQ+PAGDatJns2/cu0LgDcFBQCAAKhYLQ0DAMhnKg8Up7SEgoGo32u/Ni2Lv3HYdztxQbGHiT/X2l\nUklQULB9jh8LCxuGn58/AF5eXgwceKM91sPDAxeXxm9VzGYTDQ0WevRwXskut/2INhk6dCienp6k\npKQwfvx45syZ0+S42Wxm9erVHD58GF9fX0JDQ6msrGTDhg1s27aNnTt34unpyZkzZ9Dr9WRlZfHQ\nQw8RFRVFSkoKSqWSr7/+mtLSUu644w6ioqLYuHEjBoOBuXPnMnfuXACys7M5fPgwDQ0N9O3bl6ys\nLH7xi8btr7du3cof/vAHevfuzYQJE/jjH//IRx99BMD777/Pc889h9lsxs3NjdTUVCIiIn7eJAoh\nhBDCqWw2G9u3FxAZOR6DwYBaHWA/5uPjg81mo6bGiLd3H/v7JlM9e/bsZNGiRwCoqDCgUv1wnkql\n5vz5CofztTW2quoi+/e/h17/bKuf4cyZrzl+vJikJJ39vRMnjvPUU5mUlpYyfXoM48ZFtjpOW0nx\nL9rk0KFDmEwmXF0d/5P585//TFlZGXv27MFqtfLAAw+gVqvtx48cOUJhYSFardbh+V9++SWvvPIK\nVquViRMncunSJbZu3co333zDpEmTmDlzJp6enixcuNB+m9Ff//pX1q1bR05ODidOnGDz5s0UFhbi\n6+vLmjVr7GOXlJSQn5/PSy+9hJeXF19++SULFy5k//79zkuQEEIIIX52OTl6PDx6ERNzDwcPvt9q\nvMViIT1dx8iRo5q9jaa96uouk5y8jNjYOfZvG5pTWVlJSsoyli1LsX8TABASMpRXXnmd6upqnngi\niSNHioiIGOGU9UnxL1r0+OOP4+7ujpeXFxs3bmTXrl0O4z766COmTp2Kq6srrq6uREdH88knn9iP\njxgxotnCH+D2229HqVQCcOONNzJhwgQUCgUqlQpvb28MBgODBw/mgw8+4E9/+hN1dXVYLBb7+YcP\nH2bChAn4+voCMHPmTPtaDxw4QElJCbNnz7bHWywWKisr8fPzu/7kCCGEEKLDbNr0LGfPlpCdnYNC\noUCtVje5zaa6uhqFQmG/6m+1WsnMXEnv3t4kJKywx6lUaoqKPra/rqgw0L+/CoD167MpLj4CQGZm\nVouxAPX19SQlLWX06DH2B3gBUlOXU15eBkB+/gt4eHhSVXWRhIQlzJ79IBMn3u7wM/r4+HDrrePY\nt+9dKf7Fz2PDhg0EBQXZXzdX/LfG09OzxePu7u72n11cXK56bbVaOXfuHE899RRvvPEGGo2GTz/9\nlOXLl7dp/l//+tc8/fTT17V2IYQQQnQumzfn8cUXn6PX59ovHoaEhGIymThy5DPCwyPYseMNoqIa\ni2qbzUZWVgYKhYKUlJVNOueMGTOWnJynKS0tQaPRsmNHgb0YT0xs2tTEz8+/2ViTyURy8lKGDh3G\nggWLmpz31FPrmrw2GqtJSHiEmJh7mDx5WpNjJSVnGDBAg0Kh4Ntvv+Wjjz7kjjsmOSFrjaT4F04x\nevRodu3axV133YXVauWtt96if//+Tp2jtrYWNzc3/P39sdlsvP76603mf/HFF7l48SK+vr5s377d\nfuxXv/oVmzZt4ssvv2TIkCEA/Pvf/+aXv/ylU9cnhBBCiJ/e6dOnePXVl9FotCxa9BDQ+ECvXv8M\nK1dmotdnYTabUasbW31C44O6b7/9FoGBg4mLewCA4cPDSUxMxsPDk6QkHUlJCdhsNoYMCSY+3vHF\nxZZid+8upKjoE4xGI4cPHwIgKuo25s6Nu2qcrVtfobS0hMLCbRQWbgNg1qxYoqOncPDg+7z55m5c\nXFyw2ayMHx/F3XdPu2qM6yXFv3CK2NhYTpw4QXR0NH379iUwMNDpcwQHBzNp0iTuuusu+vbty4QJ\nE/j448av3kJCQliwYAGxsbF4eXkxZswYevfuDcCgQYPQ6/WkpaVRX19PQ0MDI0aMkOJfCCGEuE71\nDVZenzHoJxm3NYGBgzl48GOHx4YPD+cPf/jzVe+PGxfZ7DkAv/71//HrX/9fm9bYXGxMzD3ExNzT\npjEeeSSeRx6Jd3js/vsf5P77H2zTONdD+vwLp6mtrcXLywuz2czixYuZNGkSs2bN+tnnB9i4cSNn\nzpxh3bp1rZzVdtLnv/06ey/rrkLy2H6SQ+eQPDpHZ8+joz7/nZGrqwKLxdbRy/jZXWuff7nyL5xm\n/vz5mM1mTCYT48aNY/r06T/r/OvXr+fTTz+loaEBjUZDZmbmzzq/EEIIIURnJ8W/cJq//vWvHTp/\nenp6h84vhBBCCNHZSfEvRBu19BWaaDt//94dvYT/CZ09j/UNVi5V13X0MoQQQvyIFP9CtNGit/7N\nN3Xmjl6GEF1CQcwoOu8dzEII0X1J8S9EGz3/287dHchstaF0UXT0MoQA2taxQwghxM9Pin8h2uix\nv53lmzpL64Ed5PUZgzp1twjo/B0tugrJoxBCiOslxb8QbbRx0oCOXkKL5EqrEEKIn0sfH0+Ubs7/\nttncYMNYfbnFGKOxmtWrV3Hu3Fnc3NwYMEDLihU6/P37cfRoMXp9FiaTiYCAxk2++vb1paTkDHp9\nFhcuVOLi4kJoaBiJicm4u/cE4ODBD8jPz8VqtRIcHIpOl07Pnj0dzt9cbHHxEfLycqmtbbw4M3Zs\nJEuWPN5kN+HvHTiwn5dffpGGBjNXrkB09BTuu29Ok5iqqioefPBewsMjWLPm6etJp0PS51+INpI+\n/+0nV6ydQ/LYfpJD55A8Okdnz6OjPv/+/r3Rbzc4fa4V09Wt5qKmxsjJk18yYsQoAPLycqmpMZKW\ntopZs6ah02UQHh7Bli0vUlZ2Dp0unfLyMi5dqiEoKASbzUZGRhqBgYOZN28BdXV1xMZOJy/vBTQa\nLWvXrkalUjN//sKr5m4p9vTpk7i5KdFotJjNZuLjFzN16gwmTYq+apxjx46iUqnw8/OntraWuLg5\n6HTphIffbI954olkPDw8qKu73GLxf619/uUGYSGEEEII0WV4e/exF/4AYWHDMBgMnDjxOUqlkvDw\nCACmTZvJvn3vAhAQcANBQSEAKBQKQkPDMBjKATh06ENCQkLRaLTfnRfD3r3vOJy7pdjAwJvs7yuV\nSoKCgu1z/FhY2DD8/PwB8PLyYuDAG5vE/v3vb+Hr60tExIjryFDLpPgXQgghhBBdks1mY/v2AiIj\nx2MwGFCrA+zHfHx8sNls1NQYm5xjMtWzZ89OIiPHA1BRYUCl+uE8lUrN+fMVDudra2xV1UX273+P\nceMiW/0MZ858zfHjxYwceQsAlZXf8Prrf2TRosdaPfd6SPEvhBBCCCG6pJwcPR4evYiJuadN8RaL\nhfR0HSNHjiIycsJPsqa6usskJy8jNnaO/duG5lRWVpKSsoxly1Ls3wRkZ69hyZLH8fDw+EnWJw/8\nCiGEEEKILmfTpmc5e7aE7OwcFAoFarW6ya0z1dXVKBQKvL37AGC1WsnMXEnv3t4kJKywx6lUaoqK\nPra/rqgw0L+/CoD167MpLj4CQGZmVouxAPX19SQlLWX06DFNHuBNTV1OeXkZAPn5L+Dh4UlV1UUS\nEpYwe/aDTJx4uz326NFivvpqNQDffluHyWRi+fLHWbduQ/uThhT/QgghhBCii9m8OY8vvvgcvT4X\npVIJQEhIKCaTiSNHPiM8PIIdO94gKqqxqLbZbGRlZaBQKEhJWdmkA8+YMWPJyXma0tISNBotO3YU\n2IvxxMTkJvP6+fk3G2symUhOXsrQocNYsGBRk/Oeempdk9dGYzUJCY8QE3MPkydPa3Lsrbfes//8\n5pu7+PDDA07t9iPFvxBCCCGEuCbmBhsrpqt/knFbc/r0KV599WU0Gi2LFj0END7Qq9c/w8qVmej1\nWZjNZtTqxlaf0Pig7ttvv0Vg4GDi4h4AYPjwcBITk/Hw8CQpSUdSUgI2m40hQ4KJj1/ucO6WYnfv\nLqSo6BOMRiOHDx8CICrqNubOjbtqnK1bX6G0tITCwm0UFm4DYNasWKKjp1xjxq6dtPoUoo2k1Wf7\ndfZ2dl2F5LH9JIfOIXl0js6eR0etPjsjV1cFFkvrfzz8r5FWn0IIIYQQQgiHpPgXQgghhBCim5Di\nXwghhBBCiG5Cin8hhBBCCCG6CSn+hRBCCCGE6Cak+BdCCCGEEKKbkD7/QgghhBDimvj4eOLm5vxr\nyA0NNqqrL7cYYzRWs3r1Ks6dO4ubmxsDBmhZsUKHv38/jh4tRq/PwmQyERDQ2Oe/b19fSkrOoNdn\nceFCJS4uLoSGhpGYmIy7e08ADh78gPz8XKxWK8HBoeh06fTs2dPh/M3FFhcfIS8vl9raxratY8dG\nsmTJ4002FPvegQP7efnlF2loMHPlCkRHT7HvCPzmm7vYsGE9avUNQOMeBj/eJKw9pM+/EG0kff7b\nr7P3su4qJI/tJzl0Dsmjc3T2PDrq8+/v35vXCyqdPldsjF+ruaipMXLy5JeMGDEKgLy8XGpqjKSl\nrWLWrGnodBmEh0ewZcuLlJWdQ6dLp7y8jEuXaggKCsFms5GRkUZg4GDmzVtAXV0dsbHTyct7AY1G\ny9q1q1Gp1Myfv/CquVuKPX36JG5uSjQaLWazmfj4xUydOoNJk6KvGufYsaOoVCr8/Pypra0lLm4O\nOl064eE3X/OuvtLnXwghhBBC/M/y9u5jL/wBwsKGYTAYOHHic5RKJeHhEQBMmzaTffveBRqvngcF\nhQCgUCgIDQ3DYCgHGnf/DQkJRaPRfndeDHv3vuNw7pZiAwNvsr+vVCoJCgq2z/FjYWHD8PPzB8DL\ny4uBA29sNtbZpPgXQgghhBBdks1mY/v2AiIjx2MwGFCrA+zHfHx8sNls1NQYm5xjMtWzZ89OIiPH\nA1BRYUCl+uE8lUrN+fMVDudra2xV1UX273+PceMiW/0MZ858zfHjxYwceYv9vc8++5R58+7nkUcW\n8uGHB1sd41rIPf9CCCGEEKJLysnR4+HRi5iYezh48P1W4y0WC+npOkaOHEVk5ISfZE11dZdJTl5G\nbOwc+7cNzamsrCQlZRnLlqXYvwkYN+7X3HbbHbi79+Q//znB8uXxbNjwPIMG3eiU9UnxL4QQQggh\nupxNm57l7NkSsrNzUCgUqNXqJrfOVFdXo1Ao8PbuA4DVaiUzcyW9e3uTkLDCHqdSqSkq+tj+uqLC\nQP/+KgDWr8+muPgIAJmZWS3GAtTX15OUtJTRo8fYH+AFSE1dTnl5GQD5+S/g4eFJVdVFEhKWMHv2\ng0yceLs91sfHx/5zUFAIw4f/ks8/PybFvxBCCCGE6J42b87jiy8+R6/PRalUAhASEorJZOLIkc8I\nD49gx443iIpqLKptNhtZWRkoFApSUlY26cAzZsxYcnKeprS0BI1Gy44dBfZiPDExucm8fn7+zcaa\nTCaSk5cydOgwFixY1OS8H3frMRqrSUh4hJiYe5g8eVqTY998cx5///4AGAzlHDt2lLlz49qbMjsp\n/oUQQgghRJdx+vQpXn31ZTQaLYsWPQQ0PtCr1z/DypWZ6PVZmM1m1OrGVp/Q+KDu22+/RWDgYOLi\nHgBg+PBwEhOT8fDwJClJR1JSAjabjSFDgomPX+5w7pZid+8upKjoE4xGI4cPHwIgKuo2h4X71q2v\nUFpaQmHhNgoLtwEwa1Ys0dFT2Lbtrxw48D4uLi4A/H//3yOt3j50LaTVpxBtJK0+26+zt7PrKiSP\n7Sc5dA7Jo3N09jw6avXZkX3+m+PqqsBisTl5RZ3ftbb6lCv/QgghhBDimlxvgS46nrT6FEIIIYQQ\nopuQ4l8IIYQQQohuQop/IYQQQgghugkp/oUQQgghhOgmpPgXQgghhBCim5DiXwghhBBCiG5CWn0K\nIYQQQohr0pF9/o3GalavXsW5c2dxc3NjwAAtK1bo8Pfvx9Gjxej1WZhMJgICGjf56tvXl5KSM+j1\nWVy4UImLiwuhoWEkJibj7t4TgIMHPyA/Pxer1UpwcCg6XTo9e/Z0OH9zscXFR8jLy6W2tnHPhrFj\nI1my5PEmuwl/78CB/bz88os0NJi5cgWio6dw331z7Mc/+eRf5OdvwGQyAZCevoYhQ4KuK6c/Jpt8\nCdFGsslX+3X2jWy6Cslj+0kOnUPy6BydPY+ONvny9+/NO6994/S57rjPv9Vc1NQYOXnyS0aMGAVA\nXl4uNTVG0tJWMWvWNHS6DMLDI9iy5UXKys6h06VTXl7GpUs1BAWFYLPZyMhIIzBwMPPmLaCuro7Y\n2Onk5b2ARqNl7drVqFRq5s9feNXcLcWePn0SNzclGo0Ws9lMfPxipk6dwaRJ0VeNc+zYUVQqFX5+\n/tTW1hIXNwedLp3w8Jv55pvzLF4cxzPPbESrHYTJVI/FYsHT0/HGXde6yZfc9iOEEEIIIboMb+8+\n9sIfICxsGAaDgRMnPkepVBIeHgHAtGkz2bfvXQACAm4gKCgEAIVCQWhoGAZDOQCHDn1ISEgoGo32\nu/Ni2Lv3HYdztxQbGHiT/X2lUklQULB9jh8LCxuGn58/AF5eXgwceKM9dtu2vzJpUjRa7SAA3N17\nNlv4Xw8p/oUQQgghRJdks9nYvr2AyMjxGAwG1OoA+zEfHx9sNhs1NcYm55hM9ezZs5PIyPEAVFQY\nUKl+OE+lUnP+fIXD+doaW1V1kf3732PcuMhWP8OZM19z/HgxI0feAsDXX39FXd1lHn98EfPn38/G\njc9gNptbHaetpPgXQgghhBBdUk6OHg+PXsTE3NOmeIvFQnq6jpEjRxEZOeEnWVNd3WWSk5cRGzvH\n/m1DcyorK0lJWcayZSn2bwJsNivFxUfIylrH73//ChUVBv74x1ectj554FcIIYQQQnQ5mzY9y9mz\nJWRn56BQKFCr1U1us6murkahUODt3QcAq9VKZuZKevf2JiFhhT1OpVJTVPSx/XVFhYH+/VUArF+f\nTXHxEQAyM7NajAWor68nKWkpo0ePafIAb2rqcsrLywDIz38BDw9PqqoukpCwhNmzH2TixNubrCck\nZCheXo23+kRF3cHbb+9pf8K+I8W/EEIIIYToUjZvzuOLLz5Hr89FqVQCEBISislk4siRzwgPj2DH\njjeIimosqm02G1lZGSgUClJSVjbpwDNmzFhycp6mtLQEjUbLjh0F9mI8MTG5ybx+fv7NxppMJpKT\nlzJ06DAWLFjU5LynnlrX5LXRWE1CwiPExNzD5MnTmhy7445JbN6cx5w583B1deXw4X8yePAQJ2St\nkXT7EaKNpNtP+3X2jhZdheSx/SSHziF5dI7OnkdH3X46stXn6dOnePDBe9FotPZWnQEBN6DXP0NR\nURF6fRZmsxm1urHVp69vPz788CBJSQkEBg5GoXABYPjwcHtxf+DAfvLzN2Cz2RgyJJi0tAx69erl\ncP7mYgsK/kJu7joCA2+yx0ZF3cbcuXFXjZGXl0tBwV/Qan/I66xZsURHTwFg69Yt/O1ve1AoFAQF\nhZCYmNLseq61248U/0K0kRT/7dfZf8F1FZLH9pMcOofk0Tk6ex4dFf+dkaurAovF1tHL+NlJq08h\nhBBCCCGEQ1L8CyGEEEII0U1I8S+EEEIIIUQ3IcW/EEIIIYQQ3YQU/0IIIYQQQnQTUvwLIYQQQgjR\nTcgmX0IIIYQQ4pr07eOJq9L515AtZhtVxpb7/BuN1axevYpz587i5ubGgAFaVqzQ4e/fj6NHi9Hr\nszCZTAQENPb579vXl5KSM+j1WVy4UImLiwuhoWEkJibb9wk4ePAD8vNzsVqtBAeHotOl07NnT4fz\nNxdbXHyEvLxcamsb27aOHRvJkiWPN9lQ7HsHDuzn5ZdfpKHBzJUrEB09xb4j8HPPbeSjj/5pjy0p\n+ZrFix9n1qzY68rpj0mffyHaSPr8t19n72XdVUge209y6BySR+fo7Hl01Off3783H/+/806fa9RD\n/VvNRU2NkZMnv2TEiFFA44ZZNTVG0tJWMWvWNHS6DMLDI9iy5UXKys6h06VTXl7GpUs1BAWFYLPZ\nyMhIIzBwMPPmLaCuro7Y2Onk5b2ARqNl7drVqFRq5s9feNXcLcWePn0SNzclGo0Ws9lMfPxipk6d\nwaRJ0VeNc+zYUVQqFX5+/tTW1hIXNwedLp3w8JubxFVVVTFz5mT+8pdC+vXzc5gP6fMvhBBCCCH+\ncXn4KwAAIABJREFUZ3l797EX/gBhYcMwGAycOPE5SqWS8PAIAKZNm8m+fe8CjTsABwWFAKBQKAgN\nDcNgKAfg0KEPCQkJRaPRfndeDHv3vuNw7pZiAwNvsr+vVCoJCgq2z/FjYWHD8PPzB8DLy4uBA290\nGPv223sYNWp0s4X/9ZDiXwghhBBCdEk2m43t2wuIjByPwWBArQ6wH/Px8cFms1FTY2xyjslUz549\nO4mMHA9ARYUBleqH81QqNefPVzicr62xVVUX2b//PcaNi2z1M5w58zXHjxczcuQtVx17881dREdP\nbXWMayHFvxBCCCGE6JJycvR4ePQiJuaeNsVbLBbS03WMHDmKyMgJP8ma6uouk5y8jNjYOfZvG5pT\nWVlJSsoyli1LsX8T8L3jx49SVVXVpj8groU88CuEEEIIIbqcTZue5ezZErKzc1AoFKjV6ia3zlRX\nV6NQKPD27gOA1WolM3MlvXt7k5Cwwh6nUqkpKvrY/rqiwkD//ioA1q/Pprj4CACZmVktxgLU19eT\nlLSU0aPH2B/gBUhNXU55eRkA+fkv4OHhSVXVRRISljB79oNMnHj7VZ9vz56d3HnnXbi6Ordcl+Jf\nCCGEEEJ0KZs35/HFF5+j1+eiVCoBCAkJxWQyceTIZ4SHR7BjxxtERTUW1TabjaysDBQKBSkpK5t0\n4BkzZiw5OU9TWlqCRqNlx44CezGemJjcZF4/P/9mY00mE8nJSxk6dBgLFixqct5TT61r8tporCYh\n4RFiYu5h8uRpV30+k6mevXv/znPP/b92ZupqUvwLIYQQQogu4/TpU7z66stoNFoWLXoIaHygV69/\nhpUrM9HrszCbzajVja0+ofFB3bfffovAwMHExT0AwPDh4SQmJuPh4UlSko6kpARsNhtDhgQTH7/c\n4dwtxe7eXUhR0ScYjUYOHz4EQFTUbcydG3fVOFu3vkJpaQmFhdsoLNwGwKxZsURHTwHg/ff3odUO\n4sYbA52YuUbS6lOINpJWn+3X2dvZdRWSx/aTHDqH5NE5OnseHbX67Mg+/81xdVVgsdicvKLO71pb\nfcqVfyGEEEIIcU2ut0AXHU+6/QghhBBCCNFNSPEvhBBCCCFENyHF/89g4sSJREZGYrVa7e9t27aN\n4OBgtm7d2oEr6zwmTpzIf/7zn59s/I0bN5Kdnf2TjS+EEEII0RVI8f8z6d+/PwcPHrS/3r59O2Fh\nYR24ov89Foulo5cghBBCCNGpSfH/M5k+fTrbtjW2ciotLaWuro6goCCgsS9sZGQk58+ft8evWbOG\n559/nrNnz3Lrrbfa3//v19//nJOTw7Rp07jzzjv5+OMfNp7YunUrv/nNb4iJiWHDhg328y5cuMC8\nefO4++67ufvuu8nKygKuvjr+3683btzIsmXLWLhwIZMmTeLhhx/m22+/BeDSpUs89thjTJo0iblz\n55KUlNTsVfaioiLuu+8+pkyZwpQpU5r8QfTWW29x7733MnHixCbfiAQHB3P58mWHr4ODg9m4cSMx\nMTFs2rSJS5cukZqayt13382UKVPIzMy0n1dRUeFw/UIIIYQQ3YV0+/mZjB49mj/96U8YjUa2b9/O\ntGnTOHbsGADu7u5MmzaNv/zlLzz66KNcvnyZPXv2sHv37lYL1OrqaiIiIli6dCk7d+5k3bp1vP76\n65w4cYLNmzdTWFiIr68va9assZ+za9cutFotW7ZsAcBoNLbpMxw9epQ33niD3r17ExcXx65du7jn\nnnvIy8vD29ubv/3tb1RXVzNjxgzuvPNOh2t99NFH2bhxIyNGjMBqtVJbW2s/Xl9fz5///GfOnj3L\n3XffzfTp0/H09Gx1Xe7u7hQUFACQmpqKh4cHhYWFKBQKLl682Or6hRBCCCG6Cyn+fyY9evTgt7/9\nLXv27GHPnj28/vrr9uIfYPbs2cyePZtFixaxc+dOfvWrX9GvXz/Onj3b4rgeHh5ERUUBEBERYb/i\nfvjwYSZMmICvry8AM2fOZNeuXQCEh4ezZcsWsrOzGT16NJGRkW36DJGRkXh7ewPwy1/+kpKSEgA+\n+ugjnnjiCQB8fHy4/fart6gG+Oyzzxg8eDAjRowAwMXFhT59+tiP33XXXQAMGDAAb29vDAYDgwcP\nbnVd06dPt/+8b98+tm3bhkLR+KXW95+/pfULIYQQ4tp0ZJ9/o7Ga1atXce7cWdzc3BgwQMuKFTr8\n/ftx9Ggxen0WJpOJgIDGTb769vWlpOQMen0WFy5U4uLiQmhoGImJybi79wTg4MEPyM/PxWq1Ehwc\nik6XTs+ePR3O31xscfER8vJyqa1t3LNh7NhIlix5vMluwt87cGA/L7/8Ig0NZq5cgejoKdx33xyg\n8WJodvYaTp78D1euQGDgYFJSnsDDo/ULom0hxf/PaPr06cyaNYtbbrmFvn37NjkWEBDAsGHD2Lt3\nL3/605/st6u4urry3/uwmUymJud9v6U1gEKhaNN97zfffDPbt2/nww8/pLCwkN///ve89tpruLi4\nYLP9sDnGj+dyd3e3/+zi4nLV8fb68fjfPyDt4uJiz4GjOT08PK5rfGevXwghhOguXJUKTm2scPq4\ngx9TtRrTo0cP7r//QUaMGAVAXl4uzz+/kbS0VaxevRKdLoPw8Ai2bHmR557biE6XjpubG489tpSg\noBBsNhsZGWm89tpW5s1bQF1dHU8//SR5eS+g0WhZu3Y1r732KvPnL7xq7pZiPT09SUvLQKPRYjab\niY9fzNtvv8mkSdFXjePr68fTT+fg5+dPbW0tcXFzGDo0jPDwm9m5cxsNDQ384Q9/BmDlymS2b3+D\n2bPntjO7jeSe/5+RRqNh6dKlLFmyxOHxOXPmkJWVhaurKzfffDMAfn5+NDQ0cObMGQB2797dprlG\njx7NBx98YL/tZfv27fZjpaWleHl5ER0dTWpqKseOHcNmszFw4ED7z7W1tezfv7/NcxUWFgJQU1PD\n3r17HcZFRERw6tQpioqKALBarW265Uir1VJcXAxg//aiOVFRUbz00kv2Pxb++7YfIYQQQnR93t59\n7IU/QFjYMAwGAydOfI5SqSQ8PAKAadNmsm/fuwAEBNxAUFAI0HixNDQ0DIOhHIBDhz4kJCQUjUb7\n3Xkx7N37jsO5W4oNDLzJ/r5SqSQoKNg+x4+FhQ3Dz88fAC8vLwYOvPG/YntgMtVjsViwWCx8+209\n/v6t/1HUVlL8/8zuvfdeQkNDHR4bPXo07u7u3H///fb3XF1dSUtLY/78+cycORMXF5c2zRMSEsKC\nBQuIjY1lxowZuLi40Lt3b6DxlqAZM2YwdepUFixYwO9+9zsUCgV33HEHffr04be//S2PPfZYm7sR\nPfLII1y4cIFJkybxyCOPMGzYMLy8rt5W2sfHh40bN7J27VruvvtuZsyY0eTWp+akpqayatUqZsyY\n0Woxn5qayuXLl5k8eTJTpkwhPz+/TZ9BCCGEEF2PzWZj+/YCIiPHYzAYUKsD7Md8fHyw2WzU1DS9\n0Ggy1bNnz04iI8cDUFFhQKX64TyVSs35846/1WhrbFXVRfbvf49x41q/tfrMma85fryYkSNvAWDq\n1Bl4eHhw992/4e67f4OXlye/+c2kVsdpqx5X/vueEtGhSktLue+++3jnnXfo1atXu8erra21F+Eb\nN27kzJkzrFu3rt3j/lhDQwM2mw13d3dqa2u57777SE1NZdy4cU6fqyNduFCLzSb/u7SHv39vvvnm\nUkcvo8uTPLaf5NA5JI/O0dnzaDCcQa0e2OQ9f//eP9ltP9eSi/Xrs6msPM+TT+o5ePB9du3agV6f\naz9+222/Yvv2N/H2bnzG0GKx8MQTSahUapYuTQLgtde2UlZ2jsTEZKCxcL/33un8/e/vXzVfW2Lr\n6i6TkPAIUVG32+/jb05lZSWPPfYwCxcuYeLExmcm//GPA/z972+i02UA8LvfPcGwYb/k/vsfcDjG\nj//7KBQ96Nfv6ouw35N7/juJ3NxcCgoKSElJcUrhD7B+/Xo+/fRTGhoa0Gg0TdpeOlNNTQ0LFy7E\narViMpmYPHny/1zhL4QQQojOZdOmZzl7toTs7BwUCgVqtbrJbTbV1dUoFAp74W+1WsnMXEnv3t4k\nJKywx6lUaoqKfmiVXlFhoH//xtts1q/Pprj4CACZmVktxkLjw7pJSUsZPXpMk8I/NXU55eVlAOTn\nv4CHhydVVRdJSFjC7NkP2gt/gMLCAu68M9r+rOJtt93B3/62p9ni/1pJ8d9JxMfHEx8f79Qx09PT\nnTpec/r162ffw0AIIYQQ4qe2eXMeX3zxOXp9rr35SUhIKCaTiSNHPiM8PIIdO94gKqqxqLbZbGRl\nZaBQKEhJWdmkA8+YMWPJyXma0tISNBotO3YU2Ivx76/wf8/Pz7/ZWJPJRHLyUoYOHcaCBYuanPfU\nU03vvDAaq0lIeISYmHuYPHlak2MBATdw+PA/mTjxdq5cucJHH/2TG29svfthW8ltP0K0kdz2036d\n/avtrkLy2H6SQ+eQPDpHZ8+jo9t+OrLV5+nTp3jwwXvRaLT2Vp0BATeg1z9DUVERen0WZrMZtbqx\n1aevbz8+/PAgSUkJBAYORqFofH5y+PBwe3F/4MB+8vM3YLPZGDIkmLS0jGbvxGgutqDgL+TmriMw\n8CZ7bFTUbcydG3fVGHl5uRQU/AWt9oe8zpoVS3T0FKqrq3n66ScpKWls9nLTTUNYsSIVT0/Ht/Jc\n620/UvwL0UZS/LdfZ/8F11VIHttPcugckkfn6Ox5dFT8d0aurgosFlvrgf9jrrX4l24/QgghhBBC\ndBNS/AshhBBCCNFNSPEvhBBCCCFENyHFvxBCCCGEEN2EtPoUoo1aenimM2hosFFd3XKHBCGEEEJ0\nb1L8C9FGu966yOW6zttFIDbGr6OXIIQQQohOTop/Idro7t/6dvQSWtTQ0Hn/MBFCCPG/xbePBy5K\nF6ePazVbuWisazHGaKxm9epVnDt3Fjc3NwYM0LJihQ5//34cPVqMXp+FyWQiIKCxz3/fvr6UlJxB\nr8/iwoVKXFxcCA0NIzEx2b5PwMGDH5Cfn4vVaiU4OBSdLp2ePXs6nL+52OLiI+Tl5VJb29i2dezY\nSJYsebzJhmLfO3BgPy+//CINDWauXIHo6Cn2HYHr6upYv34tX375BRaLhcmTpzltd1+QPv9CtJn0\n+W+/zt7LuquQPLaf5NA5JI/O0dnz6KjPv79/bwzrvnL6XOrlN7aai5oaIydPfsmIEaOAxg2zamqM\npKWtYtasaeh0GYSHR7Bly4uUlZ1Dp0unvLyMS5dqCAoKwWazkZGRRmDgYObNW0BdXR2xsdPJy3sB\njUbL2rWrUanUzJ+/8Kq5W4o9ffokbm5KNBotZrOZ+PjFTJ06g0mToq8a59ixo6hUKvz8/KmtrSUu\nbg46XTrh4TezeXMeVVUXSU5+gvr6ehYteogVK3QMGzbcYT6kz78QQgghhPif5e3dx174A4SFDcNg\nMHDixOcolUrCwyMAmDZtJvv2vQs07gAcFBQCgEKhIDQ0DIOhHIBDhz4kJCQUjUb73Xkx7N37jsO5\nW4oNDLzJ/r5SqSQoKNg+x4+FhQ3Dz88fAC8vLwYOvNEee/Lkfxg9eiw9evSgV69e3HzzCN55563r\nzNbVpPgXQgghhBBdks1mY/v2AiIjx2MwGFCrA+zHfHx8sNls1NQYm5xjMtWzZ89OIiPHA1BRYUCl\n+uE8lUrN+fMVDudra2xV1UX273+PceMiW/0MZ858zfHjxYwceQsAwcGh7N+/F4vFQnV1NR999M9m\n/4i4HlL8CyGEEEKILiknR4+HRy9iYu5pU7zFYiE9XcfIkaOIjJzwk6ypru4yycnLiI2dY/+2oTmV\nlZWkpCxj2bIU+zcBc+bMo08fH+LiHiA9XcfNN4/ExcV5j+nKA79CCCGEEKLL2bTpWc6eLSE7OweF\nQoFarW5yhby6uhqFQoG3dx8ArFYrmZkr6d3bm4SEFfY4lUpNUdHH9tcVFQb691cBsH59NsXFRwDI\nzMxqMRagvr6epKSljB49xv4AL0Bq6nLKy8sAyM9/AQ8PT6qqLpKQsITZsx9k4sTb7bE9e/YkMTHZ\n/nrdurUMGnRj+5L1X6T4F0IIIYQQXcrmzXl88cXn6PW5KJVKAEJCQjGZTBw58hnh4RHs2PEGUVGN\nRbXNZiMrKwOFQkFKysomHXjGjBlLTs7TlJaWoNFo2bGjwF6M/3cRDuDn599srMlkIjl5KUOHDmPB\ngkVNznvqqXVNXhuN1SQkPEJMzD1MnjytybHLl2txdXXF3b0nJ09+yYED+3jppa1OyFojKf6FEEII\nIUSXcfr0KV599WU0Gi2LFj0END7Qq9c/w8qVmej1WZjNZtTqxlaf0Pig7ttvv0Vg4GDi4hrbZg4f\nHk5iYjIeHp4kJelISkrAZrMxZEgw8fHLHc7dUuzu3YUUFX2C0Wjk8OFDAERF3cbcuXFXjbN16yuU\nlpZQWLiNwsJtAMyaFUt09BTKys6xcmUqrq4uKJVKVq1aY78lyBmk1acQbSStPtuvs7ez6yokj+0n\nOXQOyaNzdPY8Omr12ZF9/pvj6qrAYul+e95ca6tPufIvhBBCCCGuyfUW6KLjSbcfIYQQQgghugkp\n/oUQQgghhOgmpPgXQgghhBCim5DiXwghhBBCiG5Cin8hhBBCCCG6CSn+hRBCCCGE6Cak1acQQggh\nhLgmHdnn32isZvXqVZw7dxY3NzcGDNCyYoUOf/9+HD1ajF6fhclkIiCgcZOvvn19KSk5g16fxYUL\nlbi4uBAaGkZiYjLu7j0BOHjwA/Lzc7FarQQHh6LTpdOzZ0+H8zcXW1lZSXLyUqxWKzabFa12EElJ\naXh7e1/TOGazmZSURL744jgAe/bsbUdGryabfAnRRrLJV/t19o1sugrJY/tJDp1D8ugcnT2Pjjb5\n8vfvTUVOkdPnUi29udVc1NQYOXnyS0aMGAVAXl4uNTVG0tJWMWvWNHS6DMLDI9iy5UXKys6h06VT\nXl7GpUs1BAWFYLPZyMhIIzBwMPPmLaCuro7Y2Onk5b2ARqNl7drVqFRq5s9feNXcLcVaLBYsFov9\nj4YNG9bTo0cPHnts2TWPU1T0CT4+PiQkLGm1+L/WTb7kth8hhBBCCNFleHv3sRf+AGFhwzAYDJw4\n8TlKpZLw8AgApk2byb597wIQEHADQUEhACgUCkJDwzAYygE4dOhDQkJC0Wi0350Xw9697zicu6VY\nV1dXe+FvtVr59ttv6dHDcand2ji33HIrXl69rzNDLZPiXwghhBBCdEk2m43t2wuIjByPwWBArQ6w\nH/Px8cFms1FTY2xyjslUz549O4mMHA9ARYUBleqH81QqNefPVzicry2x8+bdz+TJd1BaWsL8+Quu\ne5yfitzzL0QbKRQ9OnoJ/xMkj84heWw/yaFzSB6dQ/J4fXJy9Hh49CIm5h4OHny/1XiLxUJ6uo6R\nI0cRGTnhJ1nTli1/wmKx8OyzenbsKGD27Lk/yTz/7b///bT2b0mKfyHaqG9fz45ewv+Elu5DFG0n\neWw/yaFzSB6dozPn0WBQ4Or6890s0ta5NmzI4dy5Utatexal0hW1Wk1FhcF+fnV1FQqFAl/fvkDj\nrTirV6/E27sPy5cn06NHY5F8ww0BfPbZx/bzKivPo1KpcHVVoNc/xb//fQSANWvWthjb9DMomTz5\nbp56ag1z586/rnFcXBRAj1bzoVAorunfjxT/QgghhBCiS3nuuY2cOPE5zzyTi1KpBCAkJBSTycRn\nnxUREXEz27YVMHHi7UDj7UGrV6fj4uJCWtoqe+EPMGbMONaty6akpAStVsu2bW9w2213ALBiRWqT\nef38/JuNragw0Lu3Nx4eHthsNvbt28vgwTdd8zg/Nen2I4QQQgghmnXs2HFuuKFptx9vz54/WavP\nmsv1LcacPn2K+++fhVY7EHd3dwBuuOEXZGev59//PkJ29pPftfq8gYyMNfTr149//OMAiYnxDB58\nEwpF45X0X/4y3F6Uf/DBfjZtysVmsxIUFMLKlb+jV69eDudvLvbw4Y/YsOEZrly5wpUrVxgyJIil\nS5fj49P3msYBmD9/DufPn6eq6iL9+vkxZsw40tJWORynrOwMYWFDW0/ud6T4F0IIIYQQzXJU/IvO\n41qLf+n2I4QQQgghRDchxb8QQgghhBDdhBT/QgghhBBCdBNS/AshhBBCCNFNSPEvhBBCCCFENyHF\nvxBCCCGEEN2EbPIlRAu++uorUlJSqK6uxsfHh+zsbAYNGtTRy+pSqqqqSEpKoqSkBKVSycCBA8nM\nzMTX17ejl9Zlbdq0iY0bN7Jr1y6CgoI6ejldjslkIisri3/+85+4u7sTERHB6tWrO3pZXcq+ffvI\nzc219zN/9NFH+c1vftPRy+r0srOzefvttzl37lyT/3+74u8ab093XJTOLyOtZgs1l00txvznP/9h\n3bq1VFQY8PDwQKsdyPLlqVy+fJnjx4+yZcuLNDQ0MGCAht/97kl8fX0pKTnD2rVPcuFCJS4uLoSG\nDmXFilR69uwJwIED77NpUy5Wq4Xg4FBWrsygZ0/Hff6bi62s/IblyxOwWq3YbDYGDhxESsoTeHt7\nX9M4//73ETZuzOHSpUsA/OpXkTz6aEKTjcnaQ/r8C9GCBx98kJiYGKZOnUphYSEFBQX84Q9/6Ohl\ndSnV1dV88cUX3HrrrUDjLz+j0UhWVlYHr6xrOnbsGDk5OZw+fZrnn39eiv/rsGbNGhQKBampqfTo\n0YPKykr8/Pw6elldxpUrVxg9ejR//OMfCQoK4sSJE9x333188skn9s2ThGMff/wxv/jFL5g9e3aT\n/387++8aR33++/b1pGLD+06fS/X4BKqqLrcYU15uoLT0a/r08WXgQC0vvPAcRqOR+PhE5s+fzRNP\n/A61OoA///lPXLpUwxNPZFBWVsalSzUEB4dgs9lYuTKVwYNv4qGHFlJXV8fMmVN5/vmX0Gq1PPlk\nJmq1mri4h6+au6VYi6UBi8Vi/6Ph2WfXAT1ISEi8pnFOnTqJm5sSrVaL2Wzm0UcXMX36DH7728kO\n8yF9/oVwkgsXLnD8+HEmT278n23y5MkcP36cixcvdvDKuhYfHx974Q8QERFBWVlZB66o6zKbzWRm\nZpKRkdHRS+myLl++zI4dO4iPj7dfRZPC/9opFAr7VclLly7Rv39/KfzbYNSoUQQEBDR5T37XXLuA\nADWjR4+xvw4L+yUGg4HS0hKUSnciIm6mVy8P/u//bmfv3ncAuOGGGwgODgEa//0OHTqM8vJyAP75\nz38QGhqKVqsFYMaMmbz77t8dzt1SrKurm73wt1qt1NV92+z/Fy2NM3jwTfb3lUolQUHBlJcbrjNb\nV5PbfoRoRnl5OSqVCheXxu3LXVxc6N+/P+Xl5XLLynWy2Wy89tprTJw4saOX0iXl5uYyZcoUBgwY\n0NFL6bJKS0vx8fFh06ZNfPTRR3h6ehIfH8+oUaM6emldRo8ePXj22WdZsmQJHh4eXL58md///vcd\nvawuS37XtI/NZmPbtr/y619PwGAwoFYHcOUKXLx4kQEDfoHNdgWj0UifPn3s59TX17N7dyGLFz8G\nYD/veyqVmoqKCofztSX2gQdiqagwMHjwENaty7nucaDxc+zfv5f16ze0IRttI3+mCyF+NqtXr8bD\nw4M5c+Z09FK6nKKiIo4ePcr999/f0Uvp0qxWK6WlpQwdOpRt27axfPlyHnvsMWprazt6aV2GxWJh\n8+bN5Ofns2/fPp577jkSEhK4fLnlWzWE+Cls2PAMHh4ezJp1r/298vIyFAoFvr79roq3WCysXJnK\nyJG3MH78hJ9kTa+++jpvvvkOgwbdyLZtb1z3OJcvX2bFigTuu+8B+7cWziDFvxDNCAgIoKKiAqvV\nCjQWDefPn7/qK1vRNtnZ2Zw5c4Znn31Wbg+4Dv/61784deoUt912GxMnTsRgMBAXF8fBgwc7emld\nSkBAAK6urvZbLMLDw+nbty9fffVVB6+s6/j88885f/48I0eOBGDkyJH06tWLU6dOdfDKuib5XXP9\nXnvtVc6eLWXNmrUoFArUajVnz5ZiNpvRajUYjVUoFD3sV/2tVivp6Wn07u1NYmKSfRy1Wo3BUG5/\nXVFhQKVSAaDXP8UDD8TywAOxnDnzdYux/83V1Y3o6Mn87W9vXtc49fXfsnx5PLfeOpbZsx9wUsYa\nyW9gIZrRr18/QkND2b17NwC7d+8mNDRUvoa9Ds888wxHjx4lLy8PpVLZ0cvpkh5++GEOHjzIe++9\nx3vvvYdareall14iMjKyo5fWpfj6+nLrrbfyj3/8A2jssnLhwgUGDhzYypnie41Fi4HTp08DcOrU\nKS5cuGC/R1lcG/ldc32ee24jX3/9FWvWZNt/r/Tt60t9fT1VVRfp0aMH27YVMHHi7UDj7UGrV6fj\n4uJCWtqqJp1zxowZx/HjxykpKQFg27Y3uO22OwBYsSKVV199nVdffZ2BAwe1GFtRYaCurs4+3759\nexk8+KZrHsdkMrF8eQJhYcN5+OHFTs+ddPsRogWnTp0iJSWFmpoavL29yc7OJjAwsKOX1aV8+eWX\nTJ48mUGDBtlbqg0YMID/v737j4n6vuM4/uTuBJUhoAjnUUGDgthJbXBJY6TE0/2haFw625moCRZ/\nRJuoVc+I3g2rR4alaOuPSOJWo/7josNMlBh/UIfRzkZjYxpLMtcUr3LAEMXOGyf3Y39oLrUCBQZD\ne6/HX1zu83l/Pt8/CK8v9733Z9++fQO8s5eb1WpVt59ecrlcbN68mQcPHmAymVi7di25uf3z8f/P\n1cmTJzlw4EAoQK1evZqZM2cO8K5efE6nk7Nnz9Lc3Ex8fDxxcXGcPn36hf9b86J1+7l69e+sWbOK\npCQzkZFRRERASkoq+flLqav7loMHD9De3k5iYhIlJR8xYsQILl++xPr1a0hLGxf69Dkr6zWoKUaZ\nAAAGxElEQVRstkIAamousnfvJwQCftLTJ+BwfMCQIR23+uxs7BdfXGX37p2hFrjjx6fz/vsbiIuL\n71Gd48f/zM6dpaEbBwCrdSZLliztsE5Pu/0o/IuIiIhIpzoK/wPZ51+e1dPwr24/IiIiItIjDx95\nQSH9paRn/kVEREREwoTCv4iIiIhImFD4FxEREREJEwr/IiIiIiJhQuFfRERERCRMKPyLiIi8RKxW\nK1euXBnobYjIS0qtPkVERESkR4b9IgrjoH7o89/u4+G/u24h2tr6gK1bHdy9+x2DBg3ilVdGs2mT\nnfj4eL766iYlJcV4vV5GjbKwdauT4cOHc+dOHSUlxdy714zRaCQzcyI2W2Ho8MlLl/7G3r2f4Pf7\nyMjIxOHYyuDBHR/y1dnY5uZ/sWHDWvx+P4FAgNTUMWzaZGfYsGH9WqendMiXiIjI/8DtdlNcXMy1\na9cIBoPk5eVht9spLy/n2LFjtLW1kZOTg8PhICYmhqtXr2Kz2aipqQnVsFqtOJ1Opk6dyp49e7h9\n+zZRUVGcO3cOi8VCSUkJkyZNwmazUVlZSWRkJEajkVWrVrFs2bIBvHoJB52d8Nu071Sfr5X43pyf\nPOG3tbWV27f/QXb2FAD27NnFw4cPKSx08M47v8Fu/4DJk1/n00//SH39d9jtW6mvr+f77x+SkTGB\nQCCAw1FIWto43n13GR6Ph/nz51Fe/idSUlIoLt6G2WymoGD5c2t3Ndbna8fn84VuGj7++CMggrVr\n1/dbHej5IV967EdERKSX/H4/K1aswGKxUF1dTU1NDbNnz6aiooITJ05w+PBhzp8/j8fjYdu2bd2u\nW11dTV5eHteuXcNqtbJ9+3YASktLsVgslJeXc+PGDQV/CUuxsbGh4A/w6qtZuN1uamu/JjIyismT\nXwfgrbd+y4UL5wCwWCxkZEwAwGAwMHHiL3G73QB8/vllMjMzSUlJeTpvPufPn+1w7a7GmkyDQoHd\n7/fj8fwHg6HjqN1XdXpD4V9ERKSXbt68SVNTExs3bmTo0KFERUUxZcoUKisryc/PZ/To0URHR7Nu\n3Tqqqqrw+XzdqpudnU1ubi5Go5F58+ZRW1vbz1ci8nIKBAJUVBwjJyeXhoYGzOZRoffi4uIJBIK0\ntrY+M6etrY1Tp/5KTk4uwHPzkpLMNDY2drhed8YuXryAWbNm4HLdoaCg4xv0vqrTGwr/IiIiveR2\nu7FYLJhMzz773NTURHJycuh1cnIyPp+Pe/fudatuQkJC6OfBgwfj9Xq7feMgEk7KynYwdOhQ3n77\nd90a7/P5cDgKyc7+FW++mdsvezpy5ChVVecYM2YsFRXHB7zOjyn8i4iI9NKoUaNwu93PBfPExETu\n3r0bel1fX4/JZGLEiBEMGTKEtra20Ht+v5+Wlpb/255Ffi52796Fy+XC6SzBYDBgNptpaHCH3n/w\n4D4GQwSxsbHAk9+1oqItxMQMY/36jaFxP57X2NhAUlISAKWlf2Dx4gUsXryAurpvuxz7QybTIPLy\n5nDmTFWf1ukLCv8iIiK9lJWVxciRIykrK8Pj8eD1erl+/Tpz5szh0KFDuFwuHj16xK5du5g1axYm\nk4mxY8fi9Xq5ePEi7e3t7N+/n8ePH3d7zYSEBFwuVz9elciLb//+PdTWfs2HH5YRGRkJwIQJmXi9\nXr788gYAFRV/wWqdCTx5PGj79iKMRiNbtvyeiIiIUK033pjKrVu3uHPnztN5x5kx49cA2GyFHDly\nlCNHjpKaOqbLsY2NDXg8ntB6n312gbS0cX1apy+o1aeIiEgvGY1GysvLcTqdTJ8+HYC5c+eyefNm\nGhsbWbRoEV6vl2nTpuFwOACIiYmhqKgIu92O3+9n6dKlmM3mbq+5fPlynE4npaWlrFy5koKCgn65\nNpGu+Nt9JL43p1/q/pRvvvknhw4dJCUllWXLlgBgsSSzY0cZRUXb2bHj2Vaf8OQLtmfOVJGWNo78\n/IUAZGW9hs1WSHR0NIWFdjZsWEMg4Cc9fQILF9o6XLursXV1dezevZNgMEgwGGT8+HTWrevfOr2h\nVp8iIiIi0qmOWn3Ki0OtPkVEREREpEMK/yIiIiIiYULhX0REREQkTCj8i4iIiEinIiIgGAwM9Dak\nA8FggB80LuoWhX8RERER6VR0dDQtLc34fO2oT8yLIRgM4vO109LSTHR0dI/mqtuPiIiIiHQqEAjQ\n3NzM/fv38fn8A70decpkMhIfH09CQgIGQ/f/n6/wLyIiIiISJvTYj4iIiIhImFD4FxEREREJEwr/\nIiIiIiJhQuFfRERERCRMKPyLiIiIiISJ/wKQRTxAB+bTyAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "95HqQH9l3Nif",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 566
        },
        "outputId": "2f583644-9229-4a68-fd96-9cb6a4436c67"
      },
      "source": [
        "plt.figure(figsize=(15,10))\n",
        "sns.countplot(y='country',data=df, hue='confirmed_date');"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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JiQMBGDPmHrZvfxuAiIiriImJA8AwDOLjE7DZDgOwa9f7xMXFExkZ9e24sWzb9laLc7cV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lh8JUkDByZ4wuX27dtUVPS0DMNQv36xeuyxeercuXOL/Z+vdt26V7RkyZOKjr7WU5ucfIvuu2/K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\nfeVyuXTs2DFFRERc6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            "text/plain": [
              "<Figure size 1080x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tKGlC3xw3gKq",
        "colab_type": "text"
      },
      "source": [
        "Ploting the graph confirmed date of the human infected or not in the Korea Country"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UAUEzWTC3cwi",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 535
        },
        "outputId": "7132be1a-ed1d-4035-cbd2-52e9682fb295"
      },
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "sns.countplot(y=df['confirmed_date'].loc[(df['country']==\"Korea\")],).set_title('Confirmed dates in Korea')  "
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Confirmed dates in Korea')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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IyMggLS3Ne0Y1Pz+f733ve9x+++1DnJ2IiIjI0BnUH0jPy8ujrq6OoqIirFYrdru91+Xk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\nRK5CYII=\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "miS1BHqM3yNf",
        "colab_type": "text"
      },
      "source": [
        "Ploting the graph confirmed date of the human infected or not in the China Country\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tJc_tW1S3uZb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 654
        },
        "outputId": "7021445d-4d43-4263-e04a-dcb5299dc70b"
      },
      "source": [
        "plt.figure(figsize=(20,15))\n",
        "sns.countplot(y=df['confirmed_date'].loc[(df['country']==\"China\")],).set_title('Confirmed dates in China')"
      ],
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Confirmed dates in China')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 48
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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zcOHCLFiwIP/1X/+VRx99tAOmhb3b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\n",
            "text/plain": [
              "<Figure size 1440x1080 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3pJq9JX34KuJ",
        "colab_type": "text"
      },
      "source": [
        "Ploting the graph confirmed date of the human infected or not in the Mongloia Country"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AASOXEaA4gMb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 390
        },
        "outputId": "be5275c4-f94a-44b4-fe5e-365860d47933"
      },
      "source": [
        "plt.figure(figsize=(10,5))\n",
        "sns.countplot(x=df['confirmed_date'].loc[(df['country']==\"Mongolia\")],).set_title('Confirmed dates in Mongloia')"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "ERROR! Session/line number was not unique in database. History logging moved to new session 62\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Confirmed dates in Mongloia')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ABgAAYBgCGgAAgGEIaAAAAIYhoAEAABiGgAYAAGAYAhoAAIBhCGgAAACGIaABAAAYhoAG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\nAAAMQ0ADAAAwDAENAADAMAQ0AAAAw/w/UEVl0oyHfqIAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TZM2jII24m9t",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 410
        },
        "outputId": "6065d117-3154-46e1-e9b8-a83de2e45eb3"
      },
      "source": [
        "plt.figure(figsize=(10,6))\n",
        "sns.stripplot(x=df.country, y=df.sex, hue=df.sex)\n",
        "plt.title(\"Age of patients from different countries\")\n",
        "plt.show()"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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AAAAWQ0ADAACwGAIaAACAxRDQAAAALIaABgAAYDEENAAAAIshoAEAAFgMAQ0A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\n0AAAACyGgAYAAGAx/w/sMCgbX7tYXwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E-ozFCda4zIc",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 528
        },
        "outputId": "dc5a29b2-732d-4f3a-cd57-06689cf54591"
      },
      "source": [
        "plt.figure(figsize=(15,10))\n",
        "sns.countplot(y='region',data=df, hue='confirmed_date');"
      ],
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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2//497NjxCatWvYDVaiU/P4/hwwfx97+/ejmP6SJKyEVEREREROSyPftsBgcP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\nM2eO3njjDUVGRurll192Hzt79qxSUlL06quvqlOnT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            "text/plain": [
              "<Figure size 1080x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z_GIeZCl432i",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 360
        },
        "outputId": "282246f5-f5dd-47ae-93f2-79a7c063915e"
      },
      "source": [
        "confirmed_patients_series = df['confirmed_date'].value_counts().sort_index()\n",
        "\n",
        "confirmed_patients_series.cumsum().plot(legend='accumulated')\n",
        "confirmed_patients_series.plot(kind='bar', color='orange', legend='daily', figsize=(16, 5), grid=True)"
      ],
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7913c74518>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 52
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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jj8pKq7ukdkusVssRBywPajHAVldXy+12Kzw8XIZhaOnSpUpNTVVaWppqa2u1evVqZWRk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\n/2kwAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1152x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xWhsk1844_zZ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 365
        },
        "outputId": "d5f3b689-c1ba-491a-cac7-6016a718f290"
      },
      "source": [
        "limit_series = confirmed_patients_series[:df[df['id'] == 31]['confirmed_date'].values[0]]\n",
        "limit_series.cumsum().plot(legend='accumulated')\n",
        "limit_series.plot(kind='bar', color='orange', legend='daily', figsize=(16, 5), grid=True)"
      ],
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7913bfaba8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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h9G2yK9kuX7svwisGYg8hCgAAgJhnGIYOVHtVVl6j7eW1avD4ZLNaNHOSW19e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\nZVmWZVlWQrOFqGVZlmVZlmVZlpXQ/gN0j1tyDQog0gAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 1152x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7OAEWt3b5LzF",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 360
        },
        "outputId": "6b350529-c8a4-432d-a216-77660e41da08"
      },
      "source": [
        "limit_series = confirmed_patients_series[df[df['id'] == 31]['confirmed_date'].values[0]:]\n",
        "limit_series.cumsum().plot(legend='accumulated')\n",
        "limit_series.plot(kind='bar', color='orange', legend='daily', figsize=(16, 5), grid=True)"
      ],
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7913c95e48>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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0551LVFBwijZs+FA/+9lP9Je/vCxJqq+vV37+BP3gBzfqjTde05NPPqInnvhvLV16ry6/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\n80G20ToAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 1152x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vo54AzKi5QSR",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "outputId": "78cfd0e1-efbc-47e1-b6b3-895d7e16ea34"
      },
      "source": [
        "sns.countplot(x=df['state'].loc[(df['infection_reason']=='contact with patient')])"
      ],
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7913a86ba8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 55
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mgwFpMzJ5hXe",
        "colab_type": "text"
      },
      "source": [
        "# Great Work Done!\n",
        "\n",
        "**Ravjot Singh**\n",
        "\n",
        "LinkedIn- https://www.linkedin.com/in/ravjot-singh-1a0777149/\n",
        "\n",
        "Github- https://github.com/Ravjot03\n",
        "\n",
        "E-mail- ravjot313@gmail.com\n",
        "\n",
        "Phone- +91-9654446404\n"
      ]
    }
  ]
}