Covid_19_group6.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Covid-19_group6 ",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "MC20oBaqvYye"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import io"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "RxX3bgQlbIyK"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "6LbKg7W9ewYf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import files\n",
        " \n",
        " \n",
        "uploaded = files.upload()"
      ],
      "metadata": {
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": "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              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 91
        },
        "id": "K13VgkJmzAHi",
        "outputId": "7044a173-a6c0-4321-d1ee-a2fe7f996081"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-0f2840e8-2b94-4211-a5ac-fb95fdc0f36d\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-0f2840e8-2b94-4211-a5ac-fb95fdc0f36d\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving covid.csv to covid.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv(io.BytesIO(uploaded['covid.csv']))\n",
        "print(df)"
      ],
      "metadata": {
        "id": "cCxo7wXovxaS",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "bf4cfa87-d019-4b73-c449-c587462da806"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "      iso_code       location        date  total_cases  new_cases  \\\n",
            "0          ABW          Aruba  2020-03-13            2          2   \n",
            "1          ABW          Aruba  2020-03-20            4          2   \n",
            "2          ABW          Aruba  2020-03-24           12          8   \n",
            "3          ABW          Aruba  2020-03-25           17          5   \n",
            "4          ABW          Aruba  2020-03-26           19          2   \n",
            "...        ...            ...         ...          ...        ...   \n",
            "19491      NaN  International  2020-02-28          705          0   \n",
            "19492      NaN  International  2020-02-29          705          0   \n",
            "19493      NaN  International  2020-03-01          705          0   \n",
            "19494      NaN  International  2020-03-02          705          0   \n",
            "19495      NaN  International  2020-03-10          696         -9   \n",
            "\n",
            "       total_deaths  new_deaths  total_cases_per_million  \\\n",
            "0                 0           0                   18.733   \n",
            "1                 0           0                   37.465   \n",
            "2                 0           0                  112.395   \n",
            "3                 0           0                  159.227   \n",
            "4                 0           0                  177.959   \n",
            "...             ...         ...                      ...   \n",
            "19491             4           0                      NaN   \n",
            "19492             6           2                      NaN   \n",
            "19493             6           0                      NaN   \n",
            "19494             6           0                      NaN   \n",
            "19495             7           1                      NaN   \n",
            "\n",
            "       new_cases_per_million  total_deaths_per_million  ...  aged_65_older  \\\n",
            "0                     18.733                       0.0  ...         13.085   \n",
            "1                     18.733                       0.0  ...         13.085   \n",
            "2                     74.930                       0.0  ...         13.085   \n",
            "3                     46.831                       0.0  ...         13.085   \n",
            "4                     18.733                       0.0  ...         13.085   \n",
            "...                      ...                       ...  ...            ...   \n",
            "19491                    NaN                       NaN  ...            NaN   \n",
            "19492                    NaN                       NaN  ...            NaN   \n",
            "19493                    NaN                       NaN  ...            NaN   \n",
            "19494                    NaN                       NaN  ...            NaN   \n",
            "19495                    NaN                       NaN  ...            NaN   \n",
            "\n",
            "       aged_70_older  gdp_per_capita  extreme_poverty  cvd_death_rate  \\\n",
            "0              7.452       35973.781              NaN             NaN   \n",
            "1              7.452       35973.781              NaN             NaN   \n",
            "2              7.452       35973.781              NaN             NaN   \n",
            "3              7.452       35973.781              NaN             NaN   \n",
            "4              7.452       35973.781              NaN             NaN   \n",
            "...              ...             ...              ...             ...   \n",
            "19491            NaN             NaN              NaN             NaN   \n",
            "19492            NaN             NaN              NaN             NaN   \n",
            "19493            NaN             NaN              NaN             NaN   \n",
            "19494            NaN             NaN              NaN             NaN   \n",
            "19495            NaN             NaN              NaN             NaN   \n",
            "\n",
            "       diabetes_prevalence  female_smokers male_smokers  \\\n",
            "0                    11.62             NaN          NaN   \n",
            "1                    11.62             NaN          NaN   \n",
            "2                    11.62             NaN          NaN   \n",
            "3                    11.62             NaN          NaN   \n",
            "4                    11.62             NaN          NaN   \n",
            "...                    ...             ...          ...   \n",
            "19491                  NaN             NaN          NaN   \n",
            "19492                  NaN             NaN          NaN   \n",
            "19493                  NaN             NaN          NaN   \n",
            "19494                  NaN             NaN          NaN   \n",
            "19495                  NaN             NaN          NaN   \n",
            "\n",
            "       handwashing_facilities  hospital_beds_per_100k  \n",
            "0                         NaN                     NaN  \n",
            "1                         NaN                     NaN  \n",
            "2                         NaN                     NaN  \n",
            "3                         NaN                     NaN  \n",
            "4                         NaN                     NaN  \n",
            "...                       ...                     ...  \n",
            "19491                     NaN                     NaN  \n",
            "19492                     NaN                     NaN  \n",
            "19493                     NaN                     NaN  \n",
            "19494                     NaN                     NaN  \n",
            "19495                     NaN                     NaN  \n",
            "\n",
            "[19496 rows x 32 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "id": "E77Kn0jPxerw",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 386
        },
        "outputId": "af55c8ff-5d6d-4bde-f8ec-8c497b905f69"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  iso_code location        date  total_cases  new_cases  total_deaths  \\\n",
              "0      ABW    Aruba  2020-03-13            2          2             0   \n",
              "1      ABW    Aruba  2020-03-20            4          2             0   \n",
              "2      ABW    Aruba  2020-03-24           12          8             0   \n",
              "3      ABW    Aruba  2020-03-25           17          5             0   \n",
              "4      ABW    Aruba  2020-03-26           19          2             0   \n",
              "\n",
              "   new_deaths  total_cases_per_million  new_cases_per_million  \\\n",
              "0           0                   18.733                 18.733   \n",
              "1           0                   37.465                 18.733   \n",
              "2           0                  112.395                 74.930   \n",
              "3           0                  159.227                 46.831   \n",
              "4           0                  177.959                 18.733   \n",
              "\n",
              "   total_deaths_per_million  ...  aged_65_older  aged_70_older  \\\n",
              "0                       0.0  ...         13.085          7.452   \n",
              "1                       0.0  ...         13.085          7.452   \n",
              "2                       0.0  ...         13.085          7.452   \n",
              "3                       0.0  ...         13.085          7.452   \n",
              "4                       0.0  ...         13.085          7.452   \n",
              "\n",
              "   gdp_per_capita  extreme_poverty  cvd_death_rate  diabetes_prevalence  \\\n",
              "0       35973.781              NaN             NaN                11.62   \n",
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              "\n",
              "   female_smokers male_smokers  handwashing_facilities  hospital_beds_per_100k  \n",
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              "4             NaN          NaN                     NaN                     NaN  \n",
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              "(19496, 32)"
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          "execution_count": 6
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          "data": {
            "text/plain": [
              "Index(['iso_code', 'location', 'date', 'total_cases', 'new_cases',\n",
              "       'total_deaths', 'new_deaths', 'total_cases_per_million',\n",
              "       'new_cases_per_million', 'total_deaths_per_million',\n",
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              "       'cvd_death_rate', 'diabetes_prevalence', 'female_smokers',\n",
              "       'male_smokers', 'handwashing_facilities', 'hospital_beds_per_100k'],\n",
              "      dtype='object')"
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          "metadata": {},
          "execution_count": 7
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        "outputId": "460182ae-eceb-4811-cf5a-c12f42e35754"
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      "execution_count": null,
      "outputs": [
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          "data": {
            "text/plain": [
              "Sweden            146\n",
              "Canada            146\n",
              "United States     146\n",
              "Lithuania         146\n",
              "Brazil            146\n",
              "                 ... \n",
              "Yemen              45\n",
              "Western Sahara     29\n",
              "Tajikistan         24\n",
              "Comoros            23\n",
              "Lesotho            10\n",
              "Name: location, Length: 212, dtype: int64"
            ]
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              "iso_code                            True\n",
              "location                           False\n",
              "date                               False\n",
              "total_cases                        False\n",
              "new_cases                          False\n",
              "total_deaths                       False\n",
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              "new_cases_per_million               True\n",
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              "diabetes_prevalence                 True\n",
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          "execution_count": 9
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              "iso_code                              64\n",
              "location                               0\n",
              "date                                   0\n",
              "total_cases                            0\n",
              "new_cases                              0\n",
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              "new_cases_per_million                377\n",
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              "tests_units                        13267\n",
              "stringency_index                    4500\n",
              "population                            64\n",
              "population_density                   850\n",
              "median_age                          1743\n",
              "aged_65_older                       1980\n",
              "aged_70_older                       1832\n",
              "gdp_per_capita                      1982\n",
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              "cvd_death_rate                      1817\n",
              "diabetes_prevalence                 1174\n",
              "female_smokers                      5052\n",
              "male_smokers                        5206\n",
              "handwashing_facilities             11822\n",
              "hospital_beds_per_100k              3160\n",
              "dtype: int64"
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          "metadata": {},
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        "india_case=df[df[\"location\"]==\"India\"] "
      ],
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      "execution_count": null,
      "outputs": []
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              "     iso_code location        date  total_cases  new_cases  total_deaths  \\\n",
              "8379      IND    India  2019-12-31            0          0             0   \n",
              "8380      IND    India  2020-01-01            0          0             0   \n",
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              "8382      IND    India  2020-01-03            0          0             0   \n",
              "8383      IND    India  2020-01-04            0          0             0   \n",
              "\n",
              "      new_deaths  total_cases_per_million  new_cases_per_million  \\\n",
              "8379           0                      0.0                    0.0   \n",
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              "\n",
              "      total_deaths_per_million  ...  aged_65_older  aged_70_older  \\\n",
              "8379                       0.0  ...          5.989          3.414   \n",
              "8380                       0.0  ...          5.989          3.414   \n",
              "8381                       0.0  ...          5.989          3.414   \n",
              "8382                       0.0  ...          5.989          3.414   \n",
              "8383                       0.0  ...          5.989          3.414   \n",
              "\n",
              "      gdp_per_capita  extreme_poverty  cvd_death_rate  diabetes_prevalence  \\\n",
              "8379        6426.674             21.2          282.28                10.39   \n",
              "8380        6426.674             21.2          282.28                10.39   \n",
              "8381        6426.674             21.2          282.28                10.39   \n",
              "8382        6426.674             21.2          282.28                10.39   \n",
              "8383        6426.674             21.2          282.28                10.39   \n",
              "\n",
              "      female_smokers male_smokers  handwashing_facilities  \\\n",
              "8379             1.9         20.6                   59.55   \n",
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              "8382             1.9         20.6                   59.55   \n",
              "8383             1.9         20.6                   59.55   \n",
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              "      <td>3.414</td>\n",
              "      <td>6426.674</td>\n",
              "      <td>21.2</td>\n",
              "      <td>282.28</td>\n",
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              "      <td>59.55</td>\n",
              "      <td>0.53</td>\n",
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              "    <tr>\n",
              "      <th>8382</th>\n",
              "      <td>IND</td>\n",
              "      <td>India</td>\n",
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              "    <tr>\n",
              "      <th>8383</th>\n",
              "      <td>IND</td>\n",
              "      <td>India</td>\n",
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              "                                                     [key], {});\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "india_case.tail()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 386
        },
        "id": "8GhJzS2a384U",
        "outputId": "cb15f242-d439-42f7-8ea6-f601301e254e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     iso_code location        date  total_cases  new_cases  total_deaths  \\\n",
              "8519      IND    India  2020-05-20       106750       5611          3303   \n",
              "8520      IND    India  2020-05-21       112359       5609          3435   \n",
              "8521      IND    India  2020-05-22       118447       6088          3583   \n",
              "8522      IND    India  2020-05-23       125101       6654          3720   \n",
              "8523      IND    India  2020-05-24       131868       6767          3867   \n",
              "\n",
              "      new_deaths  total_cases_per_million  new_cases_per_million  \\\n",
              "8519         140                   77.355                  4.066   \n",
              "8520         132                   81.419                  4.064   \n",
              "8521         148                   85.831                  4.412   \n",
              "8522         137                   90.653                  4.822   \n",
              "8523         147                   95.556                  4.904   \n",
              "\n",
              "      total_deaths_per_million  ...  aged_65_older  aged_70_older  \\\n",
              "8519                     2.393  ...          5.989          3.414   \n",
              "8520                     2.489  ...          5.989          3.414   \n",
              "8521                     2.596  ...          5.989          3.414   \n",
              "8522                     2.696  ...          5.989          3.414   \n",
              "8523                     2.802  ...          5.989          3.414   \n",
              "\n",
              "      gdp_per_capita  extreme_poverty  cvd_death_rate  diabetes_prevalence  \\\n",
              "8519        6426.674             21.2          282.28                10.39   \n",
              "8520        6426.674             21.2          282.28                10.39   \n",
              "8521        6426.674             21.2          282.28                10.39   \n",
              "8522        6426.674             21.2          282.28                10.39   \n",
              "8523        6426.674             21.2          282.28                10.39   \n",
              "\n",
              "      female_smokers male_smokers  handwashing_facilities  \\\n",
              "8519             1.9         20.6                   59.55   \n",
              "8520             1.9         20.6                   59.55   \n",
              "8521             1.9         20.6                   59.55   \n",
              "8522             1.9         20.6                   59.55   \n",
              "8523             1.9         20.6                   59.55   \n",
              "\n",
              "      hospital_beds_per_100k  \n",
              "8519                    0.53  \n",
              "8520                    0.53  \n",
              "8521                    0.53  \n",
              "8522                    0.53  \n",
              "8523                    0.53  \n",
              "\n",
              "[5 rows x 32 columns]"
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              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-4b4aab1c-3f8e-4eba-8dc8-f10553f83425 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-4b4aab1c-3f8e-4eba-8dc8-f10553f83425');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns\n",
        "from matplotlib import pyplot as plt"
      ],
      "metadata": {
        "id": "R6AxXNuW4CCY"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sns.set(rc={'figure.figsize':(8,6)})\n",
        "sns.lineplot(x=\"date\",y=\"total_cases\",data=india_case)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 360
        },
        "id": "dM7uy4RX4JY5",
        "outputId": "ae6a67aa-03ca-4548-8a44-0076d0c26a84"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "india_last_5_days=india_case.tail()"
      ],
      "metadata": {
        "id": "LI8VXjLH4N6U"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sns.set(rc={'figure.figsize':(8,6)})\n",
        "sns.lineplot(x=\"date\",y=\"total_cases\",data=india_last_5_days)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 353
        },
        "id": "xwovD94E4Rb8",
        "outputId": "f54f7dea-0ecb-4287-e3bf-ea6c4ca64c3a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.set(rc={'figure.figsize':(8,6)})\n",
        "sns.lineplot(x=\"date\",y=\"total_tests\",data=india_case)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 375
        },
        "id": "sEAYD1iR4hWj",
        "outputId": "958d38c8-6aec-4075-f511-a8b3d1d13cc9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.set(rc={'figure.figsize':(8,6)})\n",
        "sns.lineplot(x=\"date\",y=\"total_tests\",data=india_last_5_days)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 374
        },
        "id": "ZvPC8wSbHkwK",
        "outputId": "7d396357-29c0-4062-9595-320330a13f2c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "brazil_case=df[df[\"location\"]==\"Brazil\"] \n",
        "brazil_case.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 386
        },
        "id": "flgRXzD0HpE9",
        "outputId": "590fc462-3f06-4692-c6b3-2408c4ba05d5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     iso_code location        date  total_cases  new_cases  total_deaths  \\\n",
              "2510      BRA   Brazil  2019-12-31            0          0             0   \n",
              "2511      BRA   Brazil  2020-01-01            0          0             0   \n",
              "2512      BRA   Brazil  2020-01-02            0          0             0   \n",
              "2513      BRA   Brazil  2020-01-03            0          0             0   \n",
              "2514      BRA   Brazil  2020-01-04            0          0             0   \n",
              "\n",
              "      new_deaths  total_cases_per_million  new_cases_per_million  \\\n",
              "2510           0                      0.0                    0.0   \n",
              "2511           0                      0.0                    0.0   \n",
              "2512           0                      0.0                    0.0   \n",
              "2513           0                      0.0                    0.0   \n",
              "2514           0                      0.0                    0.0   \n",
              "\n",
              "      total_deaths_per_million  ...  aged_65_older  aged_70_older  \\\n",
              "2510                       0.0  ...          8.552           5.06   \n",
              "2511                       0.0  ...          8.552           5.06   \n",
              "2512                       0.0  ...          8.552           5.06   \n",
              "2513                       0.0  ...          8.552           5.06   \n",
              "2514                       0.0  ...          8.552           5.06   \n",
              "\n",
              "      gdp_per_capita  extreme_poverty  cvd_death_rate  diabetes_prevalence  \\\n",
              "2510       14103.452              3.4         177.961                 8.11   \n",
              "2511       14103.452              3.4         177.961                 8.11   \n",
              "2512       14103.452              3.4         177.961                 8.11   \n",
              "2513       14103.452              3.4         177.961                 8.11   \n",
              "2514       14103.452              3.4         177.961                 8.11   \n",
              "\n",
              "      female_smokers male_smokers  handwashing_facilities  \\\n",
              "2510            10.1         17.9                     NaN   \n",
              "2511            10.1         17.9                     NaN   \n",
              "2512            10.1         17.9                     NaN   \n",
              "2513            10.1         17.9                     NaN   \n",
              "2514            10.1         17.9                     NaN   \n",
              "\n",
              "      hospital_beds_per_100k  \n",
              "2510                     2.2  \n",
              "2511                     2.2  \n",
              "2512                     2.2  \n",
              "2513                     2.2  \n",
              "2514                     2.2  \n",
              "\n",
              "[5 rows x 32 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-e41cc7b3-65a7-4732-b5da-133acdf5567b\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>iso_code</th>\n",
              "      <th>location</th>\n",
              "      <th>date</th>\n",
              "      <th>total_cases</th>\n",
              "      <th>new_cases</th>\n",
              "      <th>total_deaths</th>\n",
              "      <th>new_deaths</th>\n",
              "      <th>total_cases_per_million</th>\n",
              "      <th>new_cases_per_million</th>\n",
              "      <th>total_deaths_per_million</th>\n",
              "      <th>...</th>\n",
              "      <th>aged_65_older</th>\n",
              "      <th>aged_70_older</th>\n",
              "      <th>gdp_per_capita</th>\n",
              "      <th>extreme_poverty</th>\n",
              "      <th>cvd_death_rate</th>\n",
              "      <th>diabetes_prevalence</th>\n",
              "      <th>female_smokers</th>\n",
              "      <th>male_smokers</th>\n",
              "      <th>handwashing_facilities</th>\n",
              "      <th>hospital_beds_per_100k</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2510</th>\n",
              "      <td>BRA</td>\n",
              "      <td>Brazil</td>\n",
              "      <td>2019-12-31</td>\n",
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              "      <td>3.4</td>\n",
              "      <td>177.961</td>\n",
              "      <td>8.11</td>\n",
              "      <td>10.1</td>\n",
              "      <td>17.9</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.2</td>\n",
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              "    <tr>\n",
              "      <th>2511</th>\n",
              "      <td>BRA</td>\n",
              "      <td>Brazil</td>\n",
              "      <td>2020-01-01</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>8.552</td>\n",
              "      <td>5.06</td>\n",
              "      <td>14103.452</td>\n",
              "      <td>3.4</td>\n",
              "      <td>177.961</td>\n",
              "      <td>8.11</td>\n",
              "      <td>10.1</td>\n",
              "      <td>17.9</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.2</td>\n",
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              "    <tr>\n",
              "      <th>2512</th>\n",
              "      <td>BRA</td>\n",
              "      <td>Brazil</td>\n",
              "      <td>2020-01-02</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>8.552</td>\n",
              "      <td>5.06</td>\n",
              "      <td>14103.452</td>\n",
              "      <td>3.4</td>\n",
              "      <td>177.961</td>\n",
              "      <td>8.11</td>\n",
              "      <td>10.1</td>\n",
              "      <td>17.9</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.2</td>\n",
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              "    <tr>\n",
              "      <th>2513</th>\n",
              "      <td>BRA</td>\n",
              "      <td>Brazil</td>\n",
              "      <td>2020-01-03</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>8.552</td>\n",
              "      <td>5.06</td>\n",
              "      <td>14103.452</td>\n",
              "      <td>3.4</td>\n",
              "      <td>177.961</td>\n",
              "      <td>8.11</td>\n",
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              "      <td>17.9</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.2</td>\n",
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              "    <tr>\n",
              "      <th>2514</th>\n",
              "      <td>BRA</td>\n",
              "      <td>Brazil</td>\n",
              "      <td>2020-01-04</td>\n",
              "      <td>0</td>\n",
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              "      <td>0.0</td>\n",
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              "      <td>8.552</td>\n",
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              "      <td>177.961</td>\n",
              "      <td>8.11</td>\n",
              "      <td>10.1</td>\n",
              "      <td>17.9</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.2</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 32 columns</p>\n",
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              "\n",
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              "\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "brazil_case.tail()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 386
        },
        "id": "v0NN1Kv-Hv3M",
        "outputId": "b5a36a65-33b0-4e32-829c-f1d1a944e599"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     iso_code location        date  total_cases  new_cases  total_deaths  \\\n",
              "2651      BRA   Brazil  2020-05-20       271628      17408         17971   \n",
              "2652      BRA   Brazil  2020-05-21       291579      19951         18859   \n",
              "2653      BRA   Brazil  2020-05-22       310087      18508         20047   \n",
              "2654      BRA   Brazil  2020-05-23       330890      20803         21048   \n",
              "2655      BRA   Brazil  2020-05-24       347398      16508         22013   \n",
              "\n",
              "      new_deaths  total_cases_per_million  new_cases_per_million  \\\n",
              "2651        1179                 1277.892                 81.897   \n",
              "2652         888                 1371.753                 93.861   \n",
              "2653        1188                 1458.825                 87.072   \n",
              "2654        1001                 1556.694                 97.869   \n",
              "2655         965                 1634.357                 77.663   \n",
              "\n",
              "      total_deaths_per_million  ...  aged_65_older  aged_70_older  \\\n",
              "2651                    84.546  ...          8.552           5.06   \n",
              "2652                    88.723  ...          8.552           5.06   \n",
              "2653                    94.312  ...          8.552           5.06   \n",
              "2654                    99.022  ...          8.552           5.06   \n",
              "2655                   103.562  ...          8.552           5.06   \n",
              "\n",
              "      gdp_per_capita  extreme_poverty  cvd_death_rate  diabetes_prevalence  \\\n",
              "2651       14103.452              3.4         177.961                 8.11   \n",
              "2652       14103.452              3.4         177.961                 8.11   \n",
              "2653       14103.452              3.4         177.961                 8.11   \n",
              "2654       14103.452              3.4         177.961                 8.11   \n",
              "2655       14103.452              3.4         177.961                 8.11   \n",
              "\n",
              "      female_smokers male_smokers  handwashing_facilities  \\\n",
              "2651            10.1         17.9                     NaN   \n",
              "2652            10.1         17.9                     NaN   \n",
              "2653            10.1         17.9                     NaN   \n",
              "2654            10.1         17.9                     NaN   \n",
              "2655            10.1         17.9                     NaN   \n",
              "\n",
              "      hospital_beds_per_100k  \n",
              "2651                     2.2  \n",
              "2652                     2.2  \n",
              "2653                     2.2  \n",
              "2654                     2.2  \n",
              "2655                     2.2  \n",
              "\n",
              "[5 rows x 32 columns]"
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              "        const buttonEl =\n",
              "          document.querySelector('#df-f6968e2b-e994-4de8-863c-adf0a175bb45 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-f6968e2b-e994-4de8-863c-adf0a175bb45');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "brazil_last_5_days=brazil_case.tail()"
      ],
      "metadata": {
        "id": "jL8umeXdHzSt"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sns.set(rc={'figure.figsize':(8,6)})\n",
        "sns.lineplot(x=\"date\",y=\"total_cases\",data=brazil_last_5_days)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 353
        },
        "id": "kF03FO_mH5BN",
        "outputId": "1740d041-1a63-44a4-aca1-811a28d3311c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "india_japan_china=df[(df[\"location\"] ==\"India\") | (df[\"location\"] ==\"China\") | (df[\"location\"]==\"Japan\")]"
      ],
      "metadata": {
        "id": "zgSYifNaH9t7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sns.set(rc={'figure.figsize':(20,15)})\n",
        "sns.barplot(x=\"location\",y=\"total_cases\",data=india_japan_china,hue=\"date\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 921
        },
        "id": "yI-uEzseIEhe",
        "outputId": "655704ee-2ba7-407c-de9d-5feccc4ac947"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x1080 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "germany_spain=df[(df[\"location\"] ==\"Germany\") | (df[\"location\"] ==\"Spain\")]"
      ],
      "metadata": {
        "id": "ohkYPMLdIOIz"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sns.set(rc={'figure.figsize':(10,8)})\n",
        "sns.barplot(x=\"location\",y=\"total_cases\",data=germany_spain,hue=\"date\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1708
        },
        "id": "fGR_6K35IXdZ",
        "outputId": "9a5b122b-4fba-4114-9a9f-3e26ce1dc2e4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "last_day_cases=df[df[\"date\"]==\"2020-05-24\"]\n",
        "last_day_cases"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 661
        },
        "id": "6Kpmxi2JVl6v",
        "outputId": "d956bf16-70dd-4169-c2ac-97f1351e724a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       iso_code      location        date  total_cases  new_cases  \\\n",
              "62          ABW         Aruba  2020-05-24          101          0   \n",
              "198         AFG   Afghanistan  2020-05-24         9998        782   \n",
              "262         AGO        Angola  2020-05-24           60          0   \n",
              "321         AIA      Anguilla  2020-05-24            3          0   \n",
              "398         ALB       Albania  2020-05-24          989          8   \n",
              "...         ...           ...         ...          ...        ...   \n",
              "19045       YEM         Yemen  2020-05-24          212          7   \n",
              "19153       ZAF  South Africa  2020-05-24        21343       1218   \n",
              "19220       ZMB        Zambia  2020-05-24          920          0   \n",
              "19285       ZWE      Zimbabwe  2020-05-24           56          0   \n",
              "19431  OWID_WRL         World  2020-05-24      5273572      97636   \n",
              "\n",
              "       total_deaths  new_deaths  total_cases_per_million  \\\n",
              "62                3           0                  945.994   \n",
              "198             216          11                  256.831   \n",
              "262               3           0                    1.826   \n",
              "321               0           0                  199.973   \n",
              "398              31           0                  343.665   \n",
              "...             ...         ...                      ...   \n",
              "19045            39           6                    7.108   \n",
              "19153           407          10                  359.863   \n",
              "19220             7           0                   50.044   \n",
              "19285             4           0                    3.768   \n",
              "19431        341722        3633                  676.550   \n",
              "\n",
              "       new_cases_per_million  total_deaths_per_million  ...  aged_65_older  \\\n",
              "62                     0.000                    28.099  ...         13.085   \n",
              "198                   20.088                     5.549  ...          2.581   \n",
              "262                    0.000                     0.091  ...          2.405   \n",
              "321                    0.000                     0.000  ...            NaN   \n",
              "398                    2.780                    10.772  ...         13.188   \n",
              "...                      ...                       ...  ...            ...   \n",
              "19045                  0.235                     1.308  ...          2.922   \n",
              "19153                 20.537                     6.862  ...          5.344   \n",
              "19220                  0.000                     0.381  ...          2.480   \n",
              "19285                  0.000                     0.269  ...          2.822   \n",
              "19431                 12.526                    43.840  ...          8.696   \n",
              "\n",
              "       aged_70_older  gdp_per_capita  extreme_poverty  cvd_death_rate  \\\n",
              "62             7.452       35973.781              NaN             NaN   \n",
              "198            1.337        1803.987              NaN         597.029   \n",
              "262            1.362        5819.495              NaN         276.045   \n",
              "321              NaN             NaN              NaN             NaN   \n",
              "398            8.643       11803.431              1.1         304.195   \n",
              "...              ...             ...              ...             ...   \n",
              "19045          1.583        1479.147             18.8         495.003   \n",
              "19153          3.053       12294.876             18.9         200.380   \n",
              "19220          1.542        3689.251             57.5         234.499   \n",
              "19285          1.882        1899.775             21.4         307.846   \n",
              "19431          5.355       15469.207             10.0         233.070   \n",
              "\n",
              "       diabetes_prevalence  female_smokers male_smokers  \\\n",
              "62                   11.62             NaN          NaN   \n",
              "198                   9.59             NaN          NaN   \n",
              "262                   3.94             NaN          NaN   \n",
              "321                    NaN             NaN          NaN   \n",
              "398                  10.08           7.100       51.200   \n",
              "...                    ...             ...          ...   \n",
              "19045                 5.35           7.600       29.200   \n",
              "19153                 5.52           8.100       33.200   \n",
              "19220                 3.94           3.100       24.700   \n",
              "19285                 1.82           1.600       30.700   \n",
              "19431                 8.51           6.434       34.635   \n",
              "\n",
              "       handwashing_facilities  hospital_beds_per_100k  \n",
              "62                        NaN                     NaN  \n",
              "198                    37.746                   0.500  \n",
              "262                    26.664                     NaN  \n",
              "321                       NaN                     NaN  \n",
              "398                       NaN                   2.890  \n",
              "...                       ...                     ...  \n",
              "19045                  49.542                   0.700  \n",
              "19153                  43.993                   2.320  \n",
              "19220                  13.938                   2.000  \n",
              "19285                  36.791                   1.700  \n",
              "19431                  60.130                   2.705  \n",
              "\n",
              "[207 rows x 32 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-5fc61b68-dd88-4483-9c9b-7fbf4e41d2da\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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",
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              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>iso_code</th>\n",
              "      <th>location</th>\n",
              "      <th>date</th>\n",
              "      <th>total_cases</th>\n",
              "      <th>new_cases</th>\n",
              "      <th>total_deaths</th>\n",
              "      <th>new_deaths</th>\n",
              "      <th>total_cases_per_million</th>\n",
              "      <th>new_cases_per_million</th>\n",
              "      <th>total_deaths_per_million</th>\n",
              "      <th>...</th>\n",
              "      <th>aged_65_older</th>\n",
              "      <th>aged_70_older</th>\n",
              "      <th>gdp_per_capita</th>\n",
              "      <th>extreme_poverty</th>\n",
              "      <th>cvd_death_rate</th>\n",
              "      <th>diabetes_prevalence</th>\n",
              "      <th>female_smokers</th>\n",
              "      <th>male_smokers</th>\n",
              "      <th>handwashing_facilities</th>\n",
              "      <th>hospital_beds_per_100k</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>62</th>\n",
              "      <td>ABW</td>\n",
              "      <td>Aruba</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>101</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>945.994</td>\n",
              "      <td>0.000</td>\n",
              "      <td>28.099</td>\n",
              "      <td>...</td>\n",
              "      <td>13.085</td>\n",
              "      <td>7.452</td>\n",
              "      <td>35973.781</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>11.62</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>198</th>\n",
              "      <td>AFG</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>9998</td>\n",
              "      <td>782</td>\n",
              "      <td>216</td>\n",
              "      <td>11</td>\n",
              "      <td>256.831</td>\n",
              "      <td>20.088</td>\n",
              "      <td>5.549</td>\n",
              "      <td>...</td>\n",
              "      <td>2.581</td>\n",
              "      <td>1.337</td>\n",
              "      <td>1803.987</td>\n",
              "      <td>NaN</td>\n",
              "      <td>597.029</td>\n",
              "      <td>9.59</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>37.746</td>\n",
              "      <td>0.500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>262</th>\n",
              "      <td>AGO</td>\n",
              "      <td>Angola</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>60</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1.826</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.091</td>\n",
              "      <td>...</td>\n",
              "      <td>2.405</td>\n",
              "      <td>1.362</td>\n",
              "      <td>5819.495</td>\n",
              "      <td>NaN</td>\n",
              "      <td>276.045</td>\n",
              "      <td>3.94</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>26.664</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>321</th>\n",
              "      <td>AIA</td>\n",
              "      <td>Anguilla</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>199.973</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>398</th>\n",
              "      <td>ALB</td>\n",
              "      <td>Albania</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>989</td>\n",
              "      <td>8</td>\n",
              "      <td>31</td>\n",
              "      <td>0</td>\n",
              "      <td>343.665</td>\n",
              "      <td>2.780</td>\n",
              "      <td>10.772</td>\n",
              "      <td>...</td>\n",
              "      <td>13.188</td>\n",
              "      <td>8.643</td>\n",
              "      <td>11803.431</td>\n",
              "      <td>1.1</td>\n",
              "      <td>304.195</td>\n",
              "      <td>10.08</td>\n",
              "      <td>7.100</td>\n",
              "      <td>51.200</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.890</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19045</th>\n",
              "      <td>YEM</td>\n",
              "      <td>Yemen</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>212</td>\n",
              "      <td>7</td>\n",
              "      <td>39</td>\n",
              "      <td>6</td>\n",
              "      <td>7.108</td>\n",
              "      <td>0.235</td>\n",
              "      <td>1.308</td>\n",
              "      <td>...</td>\n",
              "      <td>2.922</td>\n",
              "      <td>1.583</td>\n",
              "      <td>1479.147</td>\n",
              "      <td>18.8</td>\n",
              "      <td>495.003</td>\n",
              "      <td>5.35</td>\n",
              "      <td>7.600</td>\n",
              "      <td>29.200</td>\n",
              "      <td>49.542</td>\n",
              "      <td>0.700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19153</th>\n",
              "      <td>ZAF</td>\n",
              "      <td>South Africa</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>21343</td>\n",
              "      <td>1218</td>\n",
              "      <td>407</td>\n",
              "      <td>10</td>\n",
              "      <td>359.863</td>\n",
              "      <td>20.537</td>\n",
              "      <td>6.862</td>\n",
              "      <td>...</td>\n",
              "      <td>5.344</td>\n",
              "      <td>3.053</td>\n",
              "      <td>12294.876</td>\n",
              "      <td>18.9</td>\n",
              "      <td>200.380</td>\n",
              "      <td>5.52</td>\n",
              "      <td>8.100</td>\n",
              "      <td>33.200</td>\n",
              "      <td>43.993</td>\n",
              "      <td>2.320</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19220</th>\n",
              "      <td>ZMB</td>\n",
              "      <td>Zambia</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>920</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>50.044</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.381</td>\n",
              "      <td>...</td>\n",
              "      <td>2.480</td>\n",
              "      <td>1.542</td>\n",
              "      <td>3689.251</td>\n",
              "      <td>57.5</td>\n",
              "      <td>234.499</td>\n",
              "      <td>3.94</td>\n",
              "      <td>3.100</td>\n",
              "      <td>24.700</td>\n",
              "      <td>13.938</td>\n",
              "      <td>2.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19285</th>\n",
              "      <td>ZWE</td>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>56</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>3.768</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.269</td>\n",
              "      <td>...</td>\n",
              "      <td>2.822</td>\n",
              "      <td>1.882</td>\n",
              "      <td>1899.775</td>\n",
              "      <td>21.4</td>\n",
              "      <td>307.846</td>\n",
              "      <td>1.82</td>\n",
              "      <td>1.600</td>\n",
              "      <td>30.700</td>\n",
              "      <td>36.791</td>\n",
              "      <td>1.700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19431</th>\n",
              "      <td>OWID_WRL</td>\n",
              "      <td>World</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>5273572</td>\n",
              "      <td>97636</td>\n",
              "      <td>341722</td>\n",
              "      <td>3633</td>\n",
              "      <td>676.550</td>\n",
              "      <td>12.526</td>\n",
              "      <td>43.840</td>\n",
              "      <td>...</td>\n",
              "      <td>8.696</td>\n",
              "      <td>5.355</td>\n",
              "      <td>15469.207</td>\n",
              "      <td>10.0</td>\n",
              "      <td>233.070</td>\n",
              "      <td>8.51</td>\n",
              "      <td>6.434</td>\n",
              "      <td>34.635</td>\n",
              "      <td>60.130</td>\n",
              "      <td>2.705</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>207 rows × 32 columns</p>\n",
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          "metadata": {},
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "max_cases_country=last_day_cases.sort_values(by=\"total_cases\",ascending=False)\n",
        "max_cases_country"
      ],
      "metadata": {
        "colab": {
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          "height": 713
        },
        "id": "LosBhzViVp9d",
        "outputId": "27fadab8-69f5-4f3a-83fa-4a984c0460d0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       iso_code                         location        date  total_cases  \\\n",
              "19431  OWID_WRL                            World  2020-05-24      5273572   \n",
              "18391       USA                    United States  2020-05-24      1622670   \n",
              "2655        BRA                           Brazil  2020-05-24       347398   \n",
              "15569       RUS                           Russia  2020-05-24       335882   \n",
              "9396        ITA                            Italy  2020-05-24       229327   \n",
              "...         ...                              ...         ...          ...   \n",
              "18723       VGB           British Virgin Islands  2020-05-24            8   \n",
              "1645        BES  Bonaire Sint Eustatius and Saba  2020-05-24            6   \n",
              "5543        ESH                   Western Sahara  2020-05-24            6   \n",
              "321         AIA                         Anguilla  2020-05-24            3   \n",
              "11086       LSO                          Lesotho  2020-05-24            2   \n",
              "\n",
              "       new_cases  total_deaths  new_deaths  total_cases_per_million  \\\n",
              "19431      97636        341722        3633                  676.550   \n",
              "18391      21236         97087        1080                 4902.287   \n",
              "2655       16508         22013         965                 1634.357   \n",
              "15569       9434          3388         139                 2301.595   \n",
              "9396         669         32735         119                 3792.922   \n",
              "...          ...           ...         ...                      ...   \n",
              "18723          0             1           0                  264.577   \n",
              "1645           0             0           0                  228.824   \n",
              "5543           0             0           0                   10.045   \n",
              "321            0             0           0                  199.973   \n",
              "11086          1             0           0                    0.934   \n",
              "\n",
              "       new_cases_per_million  total_deaths_per_million  ...  aged_65_older  \\\n",
              "19431                 12.526                    43.840  ...          8.696   \n",
              "18391                 64.157                   293.312  ...         15.413   \n",
              "2655                  77.663                   103.562  ...          8.552   \n",
              "15569                 64.645                    23.216  ...         14.178   \n",
              "9396                  11.065                   541.416  ...         23.021   \n",
              "...                      ...                       ...  ...            ...   \n",
              "18723                  0.000                    33.072  ...            NaN   \n",
              "1645                   0.000                     0.000  ...            NaN   \n",
              "5543                   0.000                     0.000  ...            NaN   \n",
              "321                    0.000                     0.000  ...            NaN   \n",
              "11086                  0.467                     0.000  ...          4.506   \n",
              "\n",
              "       aged_70_older  gdp_per_capita  extreme_poverty  cvd_death_rate  \\\n",
              "19431          5.355       15469.207             10.0         233.070   \n",
              "18391          9.732       54225.446              1.2         151.089   \n",
              "2655           5.060       14103.452              3.4         177.961   \n",
              "15569          9.393       24765.954              0.1         431.297   \n",
              "9396          16.240       35220.084              2.0         113.151   \n",
              "...              ...             ...              ...             ...   \n",
              "18723            NaN             NaN              NaN             NaN   \n",
              "1645             NaN             NaN              NaN             NaN   \n",
              "5543           1.380             NaN              NaN             NaN   \n",
              "321              NaN             NaN              NaN             NaN   \n",
              "11086          2.647        2851.153             59.6         405.126   \n",
              "\n",
              "       diabetes_prevalence  female_smokers male_smokers  \\\n",
              "19431                 8.51           6.434       34.635   \n",
              "18391                10.79          19.100       24.600   \n",
              "2655                  8.11          10.100       17.900   \n",
              "15569                 6.18          23.400       58.300   \n",
              "9396                  4.78          19.800       27.800   \n",
              "...                    ...             ...          ...   \n",
              "18723                13.67             NaN          NaN   \n",
              "1645                   NaN             NaN          NaN   \n",
              "5543                   NaN             NaN          NaN   \n",
              "321                    NaN             NaN          NaN   \n",
              "11086                 3.94           0.400       53.900   \n",
              "\n",
              "       handwashing_facilities  hospital_beds_per_100k  \n",
              "19431                  60.130                   2.705  \n",
              "18391                     NaN                   2.770  \n",
              "2655                      NaN                   2.200  \n",
              "15569                     NaN                   8.050  \n",
              "9396                      NaN                   3.180  \n",
              "...                       ...                     ...  \n",
              "18723                     NaN                     NaN  \n",
              "1645                      NaN                     NaN  \n",
              "5543                      NaN                     NaN  \n",
              "321                       NaN                     NaN  \n",
              "11086                   2.117                     NaN  \n",
              "\n",
              "[207 rows x 32 columns]"
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              "      <th>hospital_beds_per_100k</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>19431</th>\n",
              "      <td>OWID_WRL</td>\n",
              "      <td>World</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>5273572</td>\n",
              "      <td>97636</td>\n",
              "      <td>341722</td>\n",
              "      <td>3633</td>\n",
              "      <td>676.550</td>\n",
              "      <td>12.526</td>\n",
              "      <td>43.840</td>\n",
              "      <td>...</td>\n",
              "      <td>8.696</td>\n",
              "      <td>5.355</td>\n",
              "      <td>15469.207</td>\n",
              "      <td>10.0</td>\n",
              "      <td>233.070</td>\n",
              "      <td>8.51</td>\n",
              "      <td>6.434</td>\n",
              "      <td>34.635</td>\n",
              "      <td>60.130</td>\n",
              "      <td>2.705</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18391</th>\n",
              "      <td>USA</td>\n",
              "      <td>United States</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>1622670</td>\n",
              "      <td>21236</td>\n",
              "      <td>97087</td>\n",
              "      <td>1080</td>\n",
              "      <td>4902.287</td>\n",
              "      <td>64.157</td>\n",
              "      <td>293.312</td>\n",
              "      <td>...</td>\n",
              "      <td>15.413</td>\n",
              "      <td>9.732</td>\n",
              "      <td>54225.446</td>\n",
              "      <td>1.2</td>\n",
              "      <td>151.089</td>\n",
              "      <td>10.79</td>\n",
              "      <td>19.100</td>\n",
              "      <td>24.600</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.770</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2655</th>\n",
              "      <td>BRA</td>\n",
              "      <td>Brazil</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>347398</td>\n",
              "      <td>16508</td>\n",
              "      <td>22013</td>\n",
              "      <td>965</td>\n",
              "      <td>1634.357</td>\n",
              "      <td>77.663</td>\n",
              "      <td>103.562</td>\n",
              "      <td>...</td>\n",
              "      <td>8.552</td>\n",
              "      <td>5.060</td>\n",
              "      <td>14103.452</td>\n",
              "      <td>3.4</td>\n",
              "      <td>177.961</td>\n",
              "      <td>8.11</td>\n",
              "      <td>10.100</td>\n",
              "      <td>17.900</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15569</th>\n",
              "      <td>RUS</td>\n",
              "      <td>Russia</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>335882</td>\n",
              "      <td>9434</td>\n",
              "      <td>3388</td>\n",
              "      <td>139</td>\n",
              "      <td>2301.595</td>\n",
              "      <td>64.645</td>\n",
              "      <td>23.216</td>\n",
              "      <td>...</td>\n",
              "      <td>14.178</td>\n",
              "      <td>9.393</td>\n",
              "      <td>24765.954</td>\n",
              "      <td>0.1</td>\n",
              "      <td>431.297</td>\n",
              "      <td>6.18</td>\n",
              "      <td>23.400</td>\n",
              "      <td>58.300</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.050</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9396</th>\n",
              "      <td>ITA</td>\n",
              "      <td>Italy</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>229327</td>\n",
              "      <td>669</td>\n",
              "      <td>32735</td>\n",
              "      <td>119</td>\n",
              "      <td>3792.922</td>\n",
              "      <td>11.065</td>\n",
              "      <td>541.416</td>\n",
              "      <td>...</td>\n",
              "      <td>23.021</td>\n",
              "      <td>16.240</td>\n",
              "      <td>35220.084</td>\n",
              "      <td>2.0</td>\n",
              "      <td>113.151</td>\n",
              "      <td>4.78</td>\n",
              "      <td>19.800</td>\n",
              "      <td>27.800</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.180</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>18723</th>\n",
              "      <td>VGB</td>\n",
              "      <td>British Virgin Islands</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>264.577</td>\n",
              "      <td>0.000</td>\n",
              "      <td>33.072</td>\n",
              "      <td>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>13.67</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1645</th>\n",
              "      <td>BES</td>\n",
              "      <td>Bonaire Sint Eustatius and Saba</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>228.824</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5543</th>\n",
              "      <td>ESH</td>\n",
              "      <td>Western Sahara</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>10.045</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.380</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>321</th>\n",
              "      <td>AIA</td>\n",
              "      <td>Anguilla</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>199.973</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11086</th>\n",
              "      <td>LSO</td>\n",
              "      <td>Lesotho</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.934</td>\n",
              "      <td>0.467</td>\n",
              "      <td>0.000</td>\n",
              "      <td>...</td>\n",
              "      <td>4.506</td>\n",
              "      <td>2.647</td>\n",
              "      <td>2851.153</td>\n",
              "      <td>59.6</td>\n",
              "      <td>405.126</td>\n",
              "      <td>3.94</td>\n",
              "      <td>0.400</td>\n",
              "      <td>53.900</td>\n",
              "      <td>2.117</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>207 rows × 32 columns</p>\n",
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          "metadata": {},
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    {
      "cell_type": "code",
      "source": [
        "max_cases_country[1:6]"
      ],
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          "height": 386
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        "id": "-EGZvyMIVz-8",
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      "execution_count": null,
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            "text/plain": [
              "      iso_code       location        date  total_cases  new_cases  \\\n",
              "18391      USA  United States  2020-05-24      1622670      21236   \n",
              "2655       BRA         Brazil  2020-05-24       347398      16508   \n",
              "15569      RUS         Russia  2020-05-24       335882       9434   \n",
              "9396       ITA          Italy  2020-05-24       229327        669   \n",
              "4613       DEU        Germany  2020-05-24       178281        431   \n",
              "\n",
              "       total_deaths  new_deaths  total_cases_per_million  \\\n",
              "18391         97087        1080                 4902.287   \n",
              "2655          22013         965                 1634.357   \n",
              "15569          3388         139                 2301.595   \n",
              "9396          32735         119                 3792.922   \n",
              "4613           8247          31                 2127.866   \n",
              "\n",
              "       new_cases_per_million  total_deaths_per_million  ...  aged_65_older  \\\n",
              "18391                 64.157                   293.312  ...         15.413   \n",
              "2655                  77.663                   103.562  ...          8.552   \n",
              "15569                 64.645                    23.216  ...         14.178   \n",
              "9396                  11.065                   541.416  ...         23.021   \n",
              "4613                   5.144                    98.432  ...         21.453   \n",
              "\n",
              "       aged_70_older  gdp_per_capita  extreme_poverty  cvd_death_rate  \\\n",
              "18391          9.732       54225.446              1.2         151.089   \n",
              "2655           5.060       14103.452              3.4         177.961   \n",
              "15569          9.393       24765.954              0.1         431.297   \n",
              "9396          16.240       35220.084              2.0         113.151   \n",
              "4613          15.957       45229.245              NaN         156.139   \n",
              "\n",
              "       diabetes_prevalence  female_smokers male_smokers  \\\n",
              "18391                10.79            19.1         24.6   \n",
              "2655                  8.11            10.1         17.9   \n",
              "15569                 6.18            23.4         58.3   \n",
              "9396                  4.78            19.8         27.8   \n",
              "4613                  8.31            28.2         33.1   \n",
              "\n",
              "       handwashing_facilities  hospital_beds_per_100k  \n",
              "18391                     NaN                    2.77  \n",
              "2655                      NaN                    2.20  \n",
              "15569                     NaN                    8.05  \n",
              "9396                      NaN                    3.18  \n",
              "4613                      NaN                    8.00  \n",
              "\n",
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              "      <th>15569</th>\n",
              "      <td>RUS</td>\n",
              "      <td>Russia</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>335882</td>\n",
              "      <td>9434</td>\n",
              "      <td>3388</td>\n",
              "      <td>139</td>\n",
              "      <td>2301.595</td>\n",
              "      <td>64.645</td>\n",
              "      <td>23.216</td>\n",
              "      <td>...</td>\n",
              "      <td>14.178</td>\n",
              "      <td>9.393</td>\n",
              "      <td>24765.954</td>\n",
              "      <td>0.1</td>\n",
              "      <td>431.297</td>\n",
              "      <td>6.18</td>\n",
              "      <td>23.4</td>\n",
              "      <td>58.3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9396</th>\n",
              "      <td>ITA</td>\n",
              "      <td>Italy</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>229327</td>\n",
              "      <td>669</td>\n",
              "      <td>32735</td>\n",
              "      <td>119</td>\n",
              "      <td>3792.922</td>\n",
              "      <td>11.065</td>\n",
              "      <td>541.416</td>\n",
              "      <td>...</td>\n",
              "      <td>23.021</td>\n",
              "      <td>16.240</td>\n",
              "      <td>35220.084</td>\n",
              "      <td>2.0</td>\n",
              "      <td>113.151</td>\n",
              "      <td>4.78</td>\n",
              "      <td>19.8</td>\n",
              "      <td>27.8</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4613</th>\n",
              "      <td>DEU</td>\n",
              "      <td>Germany</td>\n",
              "      <td>2020-05-24</td>\n",
              "      <td>178281</td>\n",
              "      <td>431</td>\n",
              "      <td>8247</td>\n",
              "      <td>31</td>\n",
              "      <td>2127.866</td>\n",
              "      <td>5.144</td>\n",
              "      <td>98.432</td>\n",
              "      <td>...</td>\n",
              "      <td>21.453</td>\n",
              "      <td>15.957</td>\n",
              "      <td>45229.245</td>\n",
              "      <td>NaN</td>\n",
              "      <td>156.139</td>\n",
              "      <td>8.31</td>\n",
              "      <td>28.2</td>\n",
              "      <td>33.1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 32 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9d58cdb5-7c73-4cd5-849e-c6ebd01b5a2c')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9d58cdb5-7c73-4cd5-849e-c6ebd01b5a2c button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9d58cdb5-7c73-4cd5-849e-c6ebd01b5a2c');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.barplot(x=\"location\",y=\"total_cases\",data=max_cases_country[1:6],hue=\"location\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 622
        },
        "id": "UW-VXFD_XE1e",
        "outputId": "dc8735e8-a03c-49ee-ec19-0d60ba6285ee"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x720 with 1 Axes>"
            ],
            "image/png": 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XX/zjHHLIt1IqVaR79x754Q/PXunzff3r++XSS3+am266Mcccc3z22GPPvPPOvHzve0cmef8q2b77fjObbrpZDj30iJx33sgMHfqNdO7cJVtttfWHHrO2tjbXXntVZsyYntat26RcrssRR3y3/qYv3/rWsBx33FFp3bpNLrnkqhx33Ak57bST0qFDh2y//Rfql4YmyZAh38q5556dNm3aZMSIUTnooENz7bVX5YgjDk5FRUWSUg4/fHjWXXe9/OhHZ2XBgvkplSrSo0ePHHXUsSv9eXyYUrlcXvU1kquhxlj22RS/c/JhbhozzLJPAACa1YwZr6Znz8b7OQRazr/+W35iln0CAADQdMQfAABAAYg/AACAAhB/AAAABSD+AAAACkD8AQAAFECz/M4fAACweuq0TnWqqls3+nGX1SzJ2+/UfOx2Q4bslerq6lRXt05NzZJ87nNb58QTf5Cqqn8/Ve6//7488cRfc8wxx+cvf3k0l112ca699sZ/+7ifVOIPAAAKrKq6dR4bc0SjH3ebk69J8vHxlySjRo3Oxhv3TW1tbY45Znjuu+/e7LbbV+pfr6urS6lUSqlUWqkZdt75S9l55y+t1D5rMvEHAACsFmpqalJTsyQdOqyda6+9Ki+//FIWLlyQt96akSuvHJfx46/LX//6lyxdujQdO3bMqaeemZ49e2XSpF/ll7+8JUlSLpfz4ovPZ9y4m/L888/mf/7nTxk1akwLv7PVg/gDAABa1BlnnJLq6tZ5443Xs91222e77XbI1KlP5Kmn/pbrrpuYjh07JkkOOujQHHvsfyZJJk36Va644mcZOfK87LXXPtlrr32SJFdddVl69+6dTTbpm+eff7bF3tPqSPwBAAAt6h/LPpcsWZIzzjg5t9xyU5Jkxx13qg+/JHnwwT/ntttuzXvvLUptbe0HjjN58q/yl788mp/97IpUVLi35b8SfwAAwGqhdevW+cIXvpj/+Z8/ZYstPpW2bdeqf23GjOm55JKf5Oqrx2fdddfL1KlPZOTIM+pff/jhB3PTTTfmssuuSevWbVpi/NWe+AMAAFYLdXV1+etfH8v662/wgdcWLlyYqqpW6dKlS+rq6vKrX/2y/rUXX3whF1xwbi688JJ06tSpOUf+RBF/AABAi/rHd/6WLVuajTbaJIceOjy33nrzcttssknffPnLA3PQQftnnXU6Zscdd8oTTzyeJPn5zyfmvfcW5cwzT63f/uyzz23W9/BJUCqXy+WWHqIxzZmzIHV1q/6WunXrkKEnT2zEiVbspjHDMmvW/GY5FwAAJMmMGa+mZ88N6x+39O/8ser+9d+yoqKULl3ar3B7V/4AAKDA3g80kVYEboEDAABQAOIPAACgAMQfAABAAYg/AACAAhB/AAAABeBunwAAUGBrr9M6raurG/24S2pq8u47Sxr9uKw68QcAAAXWuro6h447vtGPe/1hFyf5+PgbMmSvVFdXp1Wr6ixbtjTf+tZB2WuvfRptjl/96hdZsmRJDjhgWKMd85NK/AEAAC1q1KjR2XjjvnnppRdy+OEHZccdd0rXrt0a5dj77DOkUY6zJhB/AADAamHjjfumQ4e1M2vWzOyzz1czZcofs9ZaayVJdt65f6ZM+WMqKioyatSIvPLKS6msrMoGG2yYc845P9OmvZIf/WhkFi9enLq62nz1q3tl6NBv59prr8p7772XY4/9z7z44gu58MLzs3jxe6mpqcnXv75v9t9/aAu/6+Yj/gAAgNXCk0/+Neus0zF9+262wm0eeuiBLFq0MBMm3Jokeffdd5Mkt932i+y88y759rcPW+75/6tXr1656KLLU11dnUWLFuXIIw/JdtvtmD59NmqCd7P6EX8AAECLOuOMU1Iul/PGG6/nnHPOT6tWrVa4bd++m+aVV17OhReOztZbb5MvfGHnJMlWW22dyy//WRYvXpzPf75/Pv/5/h/Yd/Hixbn00vPzwgvPpVSqyOzZs/LCC88VJv781AMAANCiRo0anZtvvi1nnXVuzj13ZObOnZPKysqUy3VJkiVL/nnjmPXW650JE27Jtttun0cffSiHHnpglixZkl133S2XX37N/75+fc4558wPnOeqqy5L585dct11E3PDDTenX79Pp6amptneZ0sTfwAAwGphwICB2XbbHXLjjddnvfV65+mnn0qS/O53d9VvM3PmW6moqMwuu+ya4447MfPmvZ3589/N66+/ls6du+RrX9srhx02PE899fcPHH/Bgvnp3r1Hqqqq8tJLL+SJJ/7abO9tdWDZJwAAFNiSmpr//VmGxj/uqjjqqGPzne8clBNP/EEuuODctGvXPgMGDKx//cUXX8iVV16aJKmrq81BBx2arl27Zfz46zJlyl1p1aoqpVIpxx9/4geOfcgh38k555yZO+74ddZff4NstdXWq/bmPqFK5XK53NJDNKY5cxakrm7V31K3bh0y9OSJjTjRit00ZlhmzZrfLOcCAIAkmTHj1fTsuWFLj0Ej+Nd/y4qKUrp0ab/C7S37BAAAKADxBwAAUADiDwAAoADEHwAAQAGIPwAAgAIQfwAAAAXgd/4AAKDAOnaoTqs2rRv9uEsXL8m8+R//W39DhuyVMWN+mmeeeTqf+cyW2WCDj/8Zih/96KxssUW/fOMbBzTGqIUh/gAAoMBatWmdOw8+rNGP+7Xx45IGxN8/3HnnpKyzTscGxR+rxrJPAACgRf3lL4/m2WefzkUX/TiHHjo0jzzyUF588YUcffQROfzwYTnooG/mlltu+sB+S5Ysyd57D8rs2bPrn7voogsyfvx1zTn+J4YrfwAAQIv6/Of7Z/PN++XAA7+dnXb6YpJk0aKFueiiy1NdXZ1FixblyCMPyXbb7Zg+fTaq369169bZY4/B+c1vbsvhhx+ZRYsW5Z57puTGG3/eUm9ltSb+AACA1c7ixYtz6aXn54UXnkupVJHZs2flhReeWy7+kmS//b6ZY44ZnoMPPjxTptyZ7bbbIZ06dW6hqVdvln0CAACrnauuuiydO3fJdddNzA033Jx+/T6dmpoPfoewR4+e2WKLfrn//vty2223Zr/9vtkC034yiD8AAKDFtWvXLgsXLqh/vGDB/HTv3iNVVVV56aUX8sQTf13hvt/4xgH52c9+kqqqqnzmM1s2x7ifSOIPAABocV//+n4ZN+7q+hu+HHLIdzJp0u055JBv5brrxmarrbZe4b5bb71Nqqurs+++rvp9FN/5AwCAAlu6eMn7P8vQBMdtiF/8YlKSZOON+9bf7OUfbrzxlg/d5/TTz1ru8ZtvvpH33nsvu+++x8oPWiDiDwAACmze/JqV+j2+1c0111yZO+74TY499j/Tpk2blh5ntSb+AACAT6wjjjgqRxxxVEuP8YngO38AAAAFIP4AAAAKQPwBAAAUgPgDAAAoADd8AQCAAltn7bapbt34WVCzZFneefe9Rj8uq078AQBAgVW3rsq5p/+i0Y972o+GNHjbZcuW5YYbrs0999ydysqqVFZWZv311893vnNUNtpo40afrajEHwAA0KLOPXdkFi9enLFjb0iHDh1SLpfzwAN/zrRprzY4/pYtW5aqKnnzUZrt0xk9enTuvvvuvPHGG5k0aVI222yzFW770ksvZd99983QoUNzyimnNNeIAABAM3vttWn54x9/n9tuuzMdOnRIkpRKpXzhCzsnSZYuXZqxYy/PX//6WGpqlqZv37458cRTs9Zaa+VHPzorlZWVmTbt1SxatCjHHXdCLr74wnzqU5/O3/8+NVVVVTnjjLMzbtzVefnlF9O9e4/86EcXpG3btnn00Ydz9dVXpKZmSWpra3PwwYdn4MBBSZJjjz0y/fp9On/725OZPXt2BgwYmO9+93t5+um/59xzR+bGG2+pn/+QQw7MSSf9IJ/97Oea/8NbSc12w5fddtstEydOzHrrrfeR29XW1mbEiBEZOHBgM00GAAC0lOeeeza9e2+Qtdde+0NfnzjxhrRr1y5XXz0+N9xwc7p06ZYbbxxX//rzzz+XCy+8JNdff1OS5JVXXsp++30z48f/PJ/+9JY58cTv5Xvf+34mTLg1FRUVueeeu5Mkm222RS6//JqMG3dTLrro8lx22cV5991364/71lszctllV2fcuImZPPlXee21aenX79Np23atPP74Y0mSJ554PBUVpU9E+CXNeOWvf//+Ddpu7Nix2XXXXbNo0aIsWrSoiacCAABWJy+//FJGjjwjixcvzg47fCF///uTWbhwYf7wh3uTJEuX1qRv303rt991193Stm3b+scbbLBhNt108yTJ5ptvnrfemp7u3Xv87+N+ef3115Ik8+a9nfPOOzuvvz4tlZVVeffddzJt2qv5zGc+myT58pd3S0VFRdq3b58NN9wob7zxetZff4MMGfKt3H77L7L11tvktttuyX777d8sn0tjWK0WxT7zzDO5//77M378+Fx++eUtPQ4AANDENtts87z++rTMnz8/HTp0yEYbbZzrr78pv/zlz/PMM0+nXE5OPPEH2WabbT90/7XWarvc4+rq1vV/V1RUprq6+v88rkhtbW2S5MILz89OO+2Sc8+9IKVSKd/61n6pqVmyguP8c78BAwbmqqsuzXPPPZO//OWxnHrqiH//Q2gmq038LV26ND/84Q9z3nnnpbKycpWP06VL+0acqul169ahpUcAAKBAZs6sSFVV83z7qyHn2WijPtlll11zwQU/ymmn/TDt27///+MlS5akVCpll12+lFtumZjPfe5zadOmTRYuXJiZM9/KRhttnFKplIqKUv15KisrUir987wVFaWUSqXlHv9j+wUL5qd37/XSqlVlHnrowbzxxmuprHz/symVSqms/Od+//dxVVV19tpr7/zgBydm0KCvpn37tRr/g2ugioqKleqJ1Sb+Zs2alWnTpuXII49Mkrz77rspl8tZsGBBzjnnnAYfZ86cBamrK6/yHM0dY7NmzW/W8wEAUGx1dXVZtqyu/nHNkmUr9bMMDVWzZNly5/kop546Itdff00OPfTbqaqqSocOHdK1a7ccdNCh2WSTvrn22qty2GEHpaKiIkkphx8+POuv3yflcjl1deX689TW1qVcTv3jurpyyuXyco//sf1RRx2bCy8cnbFjr0y/fp/KJptsmtra9z+bcrmc2tp/7vevj/fcc+9ce+3Y7L33Nxr8HptCXV3dcj1RUVH6yIthpXK5vOqltAoGDBiQK6+88iPv9pkkl1xySRYtWrTSd/tsjPgbevLEVd5/Zdw0Zpj4AwCgWc2Y8Wp69tywpcf4RLv77jtzzz1354ILLm7ROf713/Lj4q/Z7vY5atSo7LLLLpkxY0YOO+yw7LnnnkmS4cOHZ+rUqc01BgAAwCo74YRjc911Y3P00ce39Cgrrdmv/DU1V/4AAGDFXPlbc6y2V/4AAIDVwxp2/aeQVuXfUPwBAECBVFRUprZ2WUuPwb9p6dKaVFau3P07xR8AABRI27btM3/+vJTLLXeXSlZduVxOTc2SzJs3K+3bd1ypfVebn3oAAACaXvv26+Ttt2flrbdeT2L55ydRZWVVOnTolLZt263UfuIPAAAKpFQqpXPn7i09Bi3Ask8AAIACEH8AAAAFIP4AAAAKQPwBAAAUgPgDAAAoAPEHAABQAOIPAACgAMQfAABAAYg/AACAAhB/AAAABSD+AAAACkD8AQAAFID4AwAAKADxBwAAUADiDwAAoADEHwAAQAGIPwAAgAIQfwAAAAUg/gAAAApA/AEAABSA+AMAACgA8QcAAFAA4g8AAKAAxB8AAEABiD8AAIACEH8AAAAFIP4AAAAKQPwBAAAUgPgDAAAoAPEHAABQAOIPAACgAMQfAABAAYg/AACAAhB/AAAABSD+AAAACkD8AQAAFID4AwAAKADxBwAAUADiDwAAoADEHwAAQAGIPwAAgAIQfwAAAAUg/gAAAApA/AEAABSA+AMAACgA8QcAAFAA4g8AAKAAxB8AAEABiD8AAIACEH8AAAAF0GzxN3r06AwYMCCbb755nnvuuQ/d5rLLLsuee+6ZvfbaK/vtt1/+9Kc/Ndd4AAAAa7Sq5jrRbrvtloMPPjjDhg1b4TZbbrllDj/88LRt2zbPPAJZdgQAACAASURBVPNMDjrooNx///1p06ZNc40JAACwRmq2+Ovfv//HbvPFL36x/u/NN9885XI58+bNS8+ePZtyNAAAgDVes8XfyvrVr36VDTbYYKXDr0uX9k00UdPo1q1DS48AAAAUwGoZfw8//HAuvvjiXHfddSu975w5C1JXV17lczd3jM2aNb9ZzwcAAKyZKipKH3kxbLWLv8cffzz/9V//lcsvvzwbb7xxS48DAACwRlitfurhySefzPe///387Gc/y6c//emWHgcAAGCN0WzxN2rUqOyyyy6ZMWNGDjvssOy5555JkuHDh2fq1KlJkpEjR2bx4sU588wzs/fee2fvvffOs88+21wjAgAArLFK5XJ51b8gtxpqjO/8DT15YiNOtGI3jRnmO38AAECj+Ljv/K1Wyz4BAABoGuIPAACgAMQfAABAAYg/AACAAhB/AAAABSD+AAAACkD8AQAAFID4AwAAKADxBwAAUADiDwAAoADEHwAAQAGIPwAAgAIQfwAAAAUg/gAAAApA/AEAABSA+AMAACgA8QcAAFAA4g8AAKAAxB8AAEABiD8AAIACEH8AAAAFIP4AAAAKQPwBAAAUgPgDAAAoAPEHAABQAOIPAACgAMQfAABAAYg/AACAAhB/AAAABSD+AAAACkD8AQAAFID4AwAAKADxBwAAUADiDwAAoADEHwAAQAGIPwAAgAIQfwAAAAUg/gAAAApA/AEAABSA+AMAACgA8QcAAFAA4g8AAKAAxB8AAEABiD8AAIACEH8AAAAFIP4AAAAKQPwBAAAUgPgDAAAoAPEHAABQAOIPAACgAMQfAABAAYg/AACAAhB/AAAABSD+AAAACkD8AQAAFECzxN/o0aMzYMCAbL755nnuuec+dJva2tqMHDkyAwcOzO67755bb721OUYDAAAohGaJv9122y0TJ07Meuutt8JtJk2alGnTpmXKlCn5+c9/nksuuSSvv/56c4wHAACwxmuW+Ovfv3969er1kdvceeed+eY3v5mKiop07tw5AwcOzF133dUc4wEAAKzxqlp6gH+YPn161l133frHvXr1yowZM1b6OF26tG/MsZpct24dWnoEAACgAFab+Gssc+YsSF1deZX3b+4YmzVrfrOeDwAAWDNVVJQ+8mLYanO3z169euXNN9+sfzx9+vT07NmzBScCAABYc6w28bfHHnvk1ltvTV1dXebOnZt77rkngwYNaumxAAAA1gjNEn+jRo3KLrvskhkzZuSwww7LnnvumSQZPnx4pk6dmiTZe++907t373zlK1/J/vvvn2OOOSbrr79+c4wHAACwxiuVy+VV/4LcaqgxvvM39OSJjTjRit00Zpjv/AEAAI3iE/OdPwAAAJqO+AMAACgA8QcAAFAA4g8AAKAAxB8AAEABiD8AAIACEH8AAAAFIP4AAAAKQPwBAAAUgPgDAAAogFWOv8WLF6empqYxZwEAAKCJNDj+Ro8enSeffDJJ8oc//CHbbbddtt1229x7771NNhwAAACNo8HxN2nSpGy66aZJkssuuywXXHBBrrjiivz0pz9tsuEAAABoHFUN3fC9995L27Zt8/bbb+e1117LoEGDkiRvvPFGkw0HAABA42hw/PXp0ye/+c1vMm3atOy0005Jkrlz56ZNmzZNNhwAAACNo8HxN2LEiJx77rmpqqrKueeemyS5//7760MQAACA1VepXC6XW3qIxjRnzoLU1a36W+rWrUOGnjyxESdasZvGDMusWfOb5VwAAMCaraKilC5d2q/w9QZf+UuSP//5z7njjjsyd+7cXHnllZk6dWoWLFiQHXfc8d8eFAAAgKbT4Lt93njjjTnrrLPSp0+fPPLII0mSNm3a5OKLL26y4QAAAGgcDY6/G264IePGjcuRRx6Zior3d9t4443z8ssvN9lwAAAANI4Gx9/ChQvTq1evJEmpVEqSLFu2LK1atWqayQAAAGg0DY6/bbfdNmPHjl3uufHjx2f77bdv9KEAAABoXA2+4csZZ5yRo446KrfeemsWLlyYQYMGpV27drnqqquacj4AAAAaQYPjr3v37vnlL3+ZqVOn5o033kivXr2y5ZZb1n//DwAAgNXXSpVbqVTKlltuma9+9atZvHhxHn300aaaCwAAgEbU4Pg76KCD8thjjyVJxo4dmxNOOCEnnnhirrzyyiYbDgAAgMbR4Ph7/vnns9VWWyVJbr311owfPz633HJL/vu//7vJhgMAAKBxNPg7f3V1dSmVSpk2bVrK5XL69u2bJHnnnXeabDgAAAAaR4Pjb5tttsnZZ5+dWbNmZffdd0+STJs2LZ06dWqy4QAAAGgcDV72ed5552XttdfO5ptvnmOPPTZJ8tJLL+Xggw9usuEAAABoHA2+8tepU6eccMIJyz236667NvY8AAAANIEGx1+SPP3003n00Ufz9ttvp1wu1z9//PHHN/pgAAAANJ4GL/v8+c9/ngMPPDAPPvhgrr766jz33HMZN25cpk2b1pTzAQAA0AgaHH/XXHNNrrnmmlx22WVp06ZNLrvsslx88cWpqlqpi4cAAAC0gAbH35w5c9K/f//3d6qoSF1dXb70pS/l97//fZMNBwAAQONo8GW7nj175vXXX0/v3r3Tp0+f/L//9//SqVOntGrVqinnAwAAoBE0OP6OOOKIvPjii+ndu3eOPvroHH/88Vm6dGlOP/30ppwPAACARtDg+Ntvv/3q//7Sl76Uhx9+OEuXLk27du2aZDAAAAAaT4O/83f//ffn5Zdfrn9cXV2dmTNn5s9//nOTDAYAAEDjaXD8nX322R+4yrfWWmvl7LPPbvShAAAAaFwrdbfP7t27L/dc9+7dM2vWrEYfCgAAgMbV4Phbf/3188ADDyz33EMPPZTevXs3+lAAAAA0rgbf8OXYY4/N9773vQwZMiTrr79+Xnvttdx2220599xzm3I+AAAAGkGDr/wNHDgw1113XRYtWpT77rsvixYtyjXXXJOBAwc25XwAAAA0ggZf+UuSLbfcMltuueUKXz/yyCMzduzYf3soAAAAGleDr/w1xKOPPtqYhwMAAKCRNGr8AQAAsHoSfwAAAAUg/gAAAAqgUeOvXC435uEAAABoJI0af0cddVRjHg4AAIBG8pE/9XDxxRc36CDHH398kuQ//uM//v2JAAAAaHQfGX8zZsxorjkAAABoQh8Zf+edd15zzQEAAEAT+sj4+zALFizI22+/vdxz66+/fqMNBAAAQONrcPy98MILOemkk/LMM8+kVCqlXC6nVColSZ5++umP3f/ll1/OD37wg8ybNy8dO3bM6NGj06dPn+W2mTNnTk499dRMnz49y5Yty/bbb58zzjgjVVUr3agAAAD8Hw2+2+fIkSOz/fbb5+GHH0779u3zyCOP5IADDsj555/foP1HjBiRoUOH5u67787QoUNz5plnfmCbK6+8MptsskkmTZqU3/zmN/n73/+eKVOmNPzdAAAA8KEaHH/PPPNMTjrppKy99topl8vp0KFDTj755AbdEXTOnDl56qmnMnjw4CTJ4MGD89RTT2Xu3LnLbVcqlbJw4cLU1dWlpqYmS5cuTY8ePVbyLQEAAPCvGryesnXr1lm2bFlatWqVTp065c0338zaa6+defPmfey+06dPT48ePVJZWZkkqaysTPfu3TN9+vR07ty5frujjz463/ve97Lzzjvnvffey7Bhw7LNNtus1Bvq0qX9Sm3f0rp169DSIwAAAAXQ4PjbZptt8tvf/jb77bdfBg0alOHDh6e6ujo77LBDow1z1113ZfPNN88NN9yQhQsXZvjw4bnrrruyxx57NPgYc+YsSF1deZVnaO4YmzVrfrOeDwAAWDNVVJQ+8mJYg+Pv/y7vPOGEE7Lppptm4cKF2XfffT923169euWtt95KbW1tKisrU1tbm5kzZ6ZXr17LbTdhwoSce+65qaioSIcOHTJgwIA89NBDKxV/AAAAfFCDv/N37bXX/nOniorsvffeGTp0aP77v//7Y/ft0qVL+vXrl8mTJydJJk+enH79+i235DNJevfunT/+8Y9JkpqamjzwwAPZdNNNGzoiAAAAK9Dg+Lvssss+9PkrrriiQfufddZZmTBhQgYNGpQJEyZk5MiRSZLhw4dn6tSpSZLTTjstjz32WPbaa6/ss88+6dOnT/bff/+GjggAAMAKfOyyzwceeCBJUldXlwcffDDl8j+/T/f666+nXbt2DTrRJptskltvvfUDz1999dX1f2+wwQYZN25cg44HAABAw31s/J1++ulJkiVLluS0006rf75UKqVbt24544wzmm46AAAAGsXHxt+9996bJDn55JMzZsyYJh8IAACAxtfgu32OGTMmy5Yty+OPP5633norPXv2zFZbbZWqqgYfAgAAgBbS4HJ76aWXctRRR2Xx4sXp1atXpk+fntatW+fKK6/MJpts0pQzAgAA8G9qcPydddZZ2X///fOd73wnpVIpyfs//3DWWWflxhtvbLIBAQAA+Pc1+KcennnmmRx22GH14ZckhxxySJ555pkmGQwAAIDG0+D46969ex5++OHlnnv00UfTvXv3Rh8KAACAxtXgZZ8nnHBCjj766Oy6665Zd9118+abb+YPf/hDLrjggqacDwAAgEbQ4Ct/L7/8cm6//fZsuummWbhwYTbddNPcdtttee2115pyPgAAABpBqVwulxuy4ec///n85S9/+cDz22233QeWg7akOXMWpK6uQW/pQ3Xr1iFDT57YiBOt2E1jhmXWrPnNci4AAGDNVlFRSpcu7Vf4+scu+3zggQeSJHV1dXnwwQfzf1vx9ddfT7t27RphTAAAAJrSx8bf6aefniRZsmRJTjvttPrnS6VSunbtmjPOOKPppgMAAKBRfGz83XvvvUmSk08+OWPGjGnygQAAAGh8Db7hi/ADAAD45Gpw/AEAAPDJJf4AAAAKQPwBAAAUgPgDAAAoAPEHAABQAOIPAACgAMQfAABAAYg/AACAAhB/AAAABSD+AAAACkD8AQAAFID4AwAAKADxBwAAUADiDwAAoADEHwAAQAGIPwAAgAIQfwAAAAUg/gAAAApA/AEAABSA+AMAACgA8QcAAFAA4g8AAKAAxB8AAEABiD8AAIACEH8AAAAFIP4AAAAKQPwBAAAUgPgDAAAoAPEHAABQAOIPAACgAMQfAABAAYg/AACAAhB/AAAABSD+AAAACkD8AQAAFID4AwAAKADxBwAAUADiDwAAoADEHwAAQAGIPwAAgAJotvh7+eWXc8ABB2TQoEE54IAD8sorr3zodnfeeWf22muvDB48OHvttVdmz57dXCMCAACssaqa60QjRozI0KFDs/fee+fXv/51zjzzzIwfP365baZOnZpLL700N9xwQ7p165b58+enurq6uUYEAABYYzXLlb85c+bkqaeeyuDBg5MkgwcPzlNPPZW5c+cut93111+fww8/PN26dUuSdOjQIa1bt26OEQEAANZozRJ/06dPT48ePVJZWZkkqaysTPfu3TN9+vTltnvxxRfz2muvZdiwYdl3331z+eWXp1wuN8eIAAAAa7RmW/bZELW1tXn22Wczbty41NTU5Igjjsi6666bffbZp8HH6NKlfRNO2Pi6devQ0iMAAAAF0Czx16tXr7z11lupra1NZWVlamtrM3PmzPTq1Wu57dZdd93sscceqa6uTnV1dXbbbbc8+eSTKxV/c+YsSF3dql8tbO4YmzVrfrOeDwAAWDNVVJQ+8mJYsyz77NKlS/r165fJkycnSSZPnpx+/fqlc+fOy203ePDg3H///SmXy1m6dGkefPDBbLHFFs0xIgAAwBqt2X7q4ayzzsqECRMyaNCgTJgwISNHjkySDB8+PFOnTk2S7LnnnunSpUu+9rWvZZ999knfvn0zZMiQ5hoRAABgjVUqr2F3VGmMZZ9DT57YiBOt2E1jhln2CQAANIrVYtknAAAALUv8AQAAFID4AwAAKADxBwAAUADiDwAAoADEHwAAQAGIPwAAgAIQfwAAAAUg/gAAAApA/AEAABSA+AMAACgA8QcAAFAA4g8AAKAAxB8AAEABiD8AAIACEH8AAAAFIP4AAAAKQPwBAAAUgPgDAAAoAPEHAABQAOIPAACgAMQfAABAAYg/AACAAhB/AAAABSD+AAAACkD8AQAAFID4AwAAKADxBwAAUADiDwAAoADEHwAAQAGIPwAAgAIQfwAAAAUg/gAAAApA/AEAABSA+AMAACgA8QcAAFAA4g8AAKAAxB8AAEABiD8AAIACEH8AAAAFIP4AAAAKQPwBAAAUgPgDAAAoAPEHAABQAOIPAACgAMQfAABAAYg/AACAAhB/AAAABSD+AAAACkD8AQAAFID4AwAAKADxBwAAUADiDwAAoADEHwAAQAGIPwAAgAJotvh7+eWXc8ABB2TQoEE54IAD8sorr6xw25deeimf+9znMnr06OYaDwAAYI3WbPE3YsSIDB06NHfffXeGDh2aM88880O3q62tzYgRIzJw4MDmGg0AAGCN1yzxN2fOnDz11FMZPHhwkmTw4MF56qmnMnfu3A9sO3bs2Oy6667p06dPc4wGAABQCM0Sf9OnT0+PHj1SWVmZJKmsrEz37t0zffr05bZ75plncv/99+fQQw9tjrEAAAAKo6qlB/iHpUuX5oc//GHOO++8+khcFV26tG/EqZpet24dWnoEAACgAJol/nr16pW33nortbW1qaysTG1tbWbOnJlevXrVbzNr1qxMmzYtRx55ZJLk3XffTblczoIFC3LOOec0+Fxz5ixIXV15lWdt7hibNWt+s54PAABYM1VUlD7yYlizxF+XLl3Sr1+/TJ48OXvvvXcmT56cfv36pXPnzvXbrLvuunnooYfqH19yySVZtGhRTjnllOYYEQAAYI3WbHf7POusszJhwoQMGjQoEyZMyMiRI5Mkw4cPz9SpU5trDAAAgEIqlcvlVV8juRpqjGWfQ0+e2IgTrdhNY4ZZ9gkAADSKj1v22WxX/gAAAGg54g8AAKAAxB8AAEABiD8AAIACEH8AAAAFIP4AAAAKQPwBAAAUgPgDAAAoAPEHAABQAOIPAACgAMQfAABAAVS19ADA6qfTOtWpqm7dLOdaVrMkb79T0yznAgAoMvEHfEBVdes8NuaIZjnXNidfk0T8AQA0Ncs+AQAACkD8AQAAFIBlnwDwIdZep3VaV1c3y7mW1NTk3XeWNMu5ACgu8QcAH6J1dXUOHXd8s5zr+sMuTiL+AGhaln0CAAAUgPgDAAAoAPEHAABQAOIPAACgAMQfAABAAYg/AACAAhB/AAAABSD+AAAACkD8AQAAFID4AwAAKADxBwAAUADiDwAAoADEHwAAQAGIPwAAgAIQfwAAAAUg/gAAAApA/AEAABSA+AMAACgA8QcAAFAA4g8AAKAAxB8AAEABiD8AAIACEH8AAAAFIP4AAAAKQPwBAAAUgPgDAAAoAPEHAABQAOIPAACgAMQfAABAAYg/AACAAhB/AAAABSD+AAAACqCqpQcAAGD11LFDdVq1ad0s51q6eEnmza9plnNBUYk/AAA+VKs2rXPnwYc1y7m+Nn5cIv6gSVn2CQAAUADiDwCA/9/evUdVVeZ/HP9w8V6kICCaLi8NiqWpU2QaKkgDXknTcbyuWZgu72NhgehSyBQvecVbOZbjbTLUUlAn01a4Mq9LSx0S08FbIqj8SBABOTy/P1yeFWGpqUdkv19/nX323s/z3Wftfc7+7P2wAWABhD8AAAAAsADCHwAAAABYgMMe+JKWlqaoqChlZ2erevXqmjFjhurXr19imUWLFmnr1q1ydnZWhQoV9OabbyogIMBRJQIAAABAueWw8Dd58mT169dPYWFh2rRpkyZNmqSVK1eWWKZ58+YKDw9XlSpVdPz4cQ0YMEDffPONKleu7KgyAQAAAKBccsiwzytXriglJUVdu3aVJHXt2lUpKSnKysoqsVxAQICqVKkiSWrcuLGMMcrOznZEiQAAAABQrjnkzl96erq8vb3l4uIiSXJxcZGXl5fS09Pl7u5+23U+//xz1atXT7Vq1bqnvjw8nrjveh3J0/PJR10C8MhxHAAcB4DEcQA8bGXyn7zv379f8+fP10cffXTP6165kqviYvOH+3b0l86lSzkO7Q+4GxwHAMcBIHEcAI8bZ2en370Z5pBhnz4+PsrIyJDNZpMk2Ww2ZWZmysfHp9Syhw8f1ttvv61FixapYcOGjigPAAAAAMo9h4Q/Dw8P+fn5KSkpSZKUlJQkPz+/UkM+jxw5ojfffFMLFizQs88+64jSAAAAAMASHPZ//mJiYrR69WqFhIRo9erVio2NlSQNGTJER48elSTFxsYqPz9fkyZNUlhYmMLCwpSamuqoEgEAAACg3HLY3/w1atRICQkJpd5ftmyZ/fWGDRscVQ4AAAAAWIrD7vwBAAAAAB6dMvm0TwAAAAAoK55yq6KKlR5+dCosKNLPV68/tPYJfwAAAADwOypWctW0Cesfej/RU3s91PYZ9gkAAAAAFkD4AwAAAAALIPwBAAAAgAUQ/gAAAADAAgh/AAAAAGABhD8AAAAAsADCHwAAAABYAOEPAAAAACyA8AcAAAAAFkD4AwAAAAALIPwBAAAAgAUQ/gAAAADAAgh/AAAAAGABhD8AAAAAsADCHwAAAABYAOEPAAAAACyA8AcAAAAAFkD4AwAAAAALIPwBAAAAgAUQ/gAAAADAAgh/AAAAAGABhD8AAAAAsADCHwAAAABYAOEPAAAAACyA8AcAAAAAFkD4AwAAAAALIPwBAAAAgAUQ/gAAAADAAgh/AAAAAGABhD8AAAAAsADCHwAAAABYAOEPAAAAACyA8AcAAAAAFkD4AwAAAAALIPwBAAAAgAUQ/gAAAADAAgh/AAAAAGABhD8AAAAAsADCHwAAAABYAOEPAAAAACyA8AcAAAAAFkD4AwAAAAALIPwBAAAAgAUQ/gAAAADAAgh/AAAAAGABhD8AAAAAsADCHwAAAABYAOEPAAAAACyA8AcAAAAAFkD4AwAAAAALIPwBAAAAgAUQ/gAAAADAAhwW/tLS0tSnTx+FhISoT58+On36dKllbDabYmNjFRwcrFdffVUJCQmOKg8AAAAAyjWHhb/JkyerX79++uKLL9SvXz9NmjSp1DKJiYk6e/astm/frnXr1ik+Pl7nz593VIkAAAAAUG65OqKTK1euKCUlRR9//LEkqWvXrpoyZYqysrLk7u5uX27r1q3q3bu3nJ2d5e7uruDgYP3nP//RG2+8cdd9OTs73Xe9NWtUu+827taDqBd4GCq6eTisL44DlFU1n3C/80IPCMcByqoqNfk9ACTpqepVHdLP/RwHd1rXIeEvPT1d3t7ecnFxkSS5uLjIy8tL6enpJcJfenq6ateubZ/28fHRxYsX76mvGg8guC0Y/9p9t3G3PDyecFhfwL1oNmyGw/riOEBZ9X7vyQ7ri+MAZVXgnPcd1hfHAcqykW93dkg/D/M44IEvAAAAAGABDgl/Pj4+ysjIkM1mk3TzwS6ZmZny8fEptdyFCxfs0+np6apVq5YjSgQAAACAcs0h4c/Dw0N+fn5KSkqSJCUlJcnPz6/EkE9JCg0NVUJCgoqLi5WVlaUdO3YoJCTEESUCAAAAQLnmZIwxjujo1KlTioqK0tWrV+Xm5qYZM2aoYcOGGjJkiMaMGaNmzZrJZrPp3Xff1e7duyVJQ4YMUZ8+fRxRHgAAAACUaw4LfwAAAACAR4cHvgAAAACABRD+AAAAAMACCH8AAAAAYAGEPwAAAACwAMJfGdG4cWNdu3atxHsvvfSSzp8/f8d1hwwZorNnz0qSNm7cqLS0tD9UQ3x8vGbMmHHbedu2bdNrr72msLAwhYaGKiIiosR6hYWFd9XHihUrdOXKlT9UH8qfoKAghYaG2veriRMn6saNGw+k7Z07d9r353379qlnz54PpF2Ub7f2ye7du6tTp05KSEh4oO3/+9//1ooVKx5om7C2oKAgnThx4p5+/6OiorR69eqHXBnKmxs3big+Pl4hISHq0qWLunfvrjFjxujkyZOPujTcA9dHXQDu37Jly+yvP/vsM9WoUUMNGjR4YO1nZmYqNjZWn332mXx8fGSM0Q8//GCfv3DhQoWHh6tixYp3bGvlypVq06aNPDw8Hlh9eLwtWLBAvr6+stls6t+/v7788kt17tzZPr+4uFhOTk5ycnK6p3Y7duyojh07PuhyYQG39skTJ06oZ8+eateunby9vR9I23379n0g7QC/9jB+/4FfGj9+vPLz85WQkCA3NzcZY5ScnKy0tDQ988wzd9VGUVGRXF2JH48Sn/5jIigoSGFhYfr222916dIlhYeHa8CAAfZ5S5cu1dGjR3Xs2DG99957mjdvniIjI9WmTRt9+OGH2r59u2w2m7y9vTVlyhR5enoqJydHEyZM0IkTJ+Tp6alatWqpZs2apfq+fPmyXF1dVb16dUmSk5OTmjZtKkmKjY2VJP3tb3+Ts7OzVq1apeTkZK1cudJ+BycyMlIvv/yylixZoszMTI0ZM0aVKlXS7NmzVa9ePc2dO1cHDhxQYWGhGjdurJiYGFWrVk3r1q3TihUrVLFiRRUXF2vevHlq1KiRIz5uPAIFBQUqKCiQm5ub4uPj9eOPPyo3N1cXLlzQunXrtHTpUu3fv183btxQjRo1NG3aNNWpU0cJCQn2K9jGGKWmpmrTpk1KSUnR119/rQULFjziLcPjytfXV25ubsrIyFC7du106NAhVatWTdLN0RqHDh2Ss7OzIiMjdfLkSbm6uqpBgwaaP3++/ve//2n8+PG6fv26iouL1aNHDw0ePFjx8fHKy8tTZGSkUlNTFRsbq+vXr6ugoEB//etf9fe///3RbjQeS/v27Sv1++/h4XHH/augoEAdO3bUxo0b5eXlJUl67733VLNmw401cAAADYhJREFUTQ0bNuwRbAnKqtOnT2vHjh1KTk6Wm5ubpJvngx06dJAkFRYW/ub5XFRUlFxcXJSWlqZr164pOjpaU6dOVfPmzfX999/L1dVVM2fO1MKFC/Xjjz/Kx8dH8fHxqlq1qvbs2aN58+apoKBANptNw4YNU5cuXSRJAwcO1HPPPafvvvtOmZmZ6tSpk8aNG6cjR44oOjpaSUlJ9vq7d++umJgYtWrVyuGfXZljUCb4+vqa3NzcEu/5+/ubc+fOGWOMCQwMNNOnTzfGGHPu3DnTokUL+/KBgYEmNTXVGGPMgAEDzFdffWVv4/PPPzcTJ040NpvNGGPMmjVrzFtvvWWMMSYuLs5ERUUZY4y5cuWKad++vb2PX7LZbGb48OHG39/fjB492nz88ccmKyvrN2vPysoyxcXFxhhjTp06ZQICAuzzflmrMcYsWrTILFq0yD49c+ZMM2fOHGOMMa1atTIZGRnGGGMKCgpMXl7enT5GPGYCAwNNSEiI6d69u2nRooUZNWqUMcaYBQsWmPbt25srV67Yl/3l608//dSMHTu2VHtz5swxo0aNMjabzWzYsMGMHj3aGGPM3r17TY8ePR7y1qA8+OV31MGDB03nzp1NQUFBqe+5W9Pbt2834eHh9vezs7ONMcZMmTLFLF26tNT7CxYssH/P5uTkmIKCAmOMMbm5uaZTp07m5MmTD3cDUe7c2md//fv/e/tXZGSkWbVqlTHGmFmzZpn4+Hj7cq1btzaXL1928FagrNuyZYvp3r37b87/vfO5yMhI06NHD3Pt2jVjzM3f5KZNm5qUlBRjjDExMTEmICDApKenG2OMeeONN8ynn35qjLn53VlUVGSMMebSpUsmICDA/n06YMAA849//MPYbDZz9epV4+/vb9LS0owxxvTu3dvs27fPGGPMgQMHTFhY2IP6KB573Pkr43451O3WULinn35abm5uunjx4h3vhH311Vc6duyYevToIUmy2Wx64oknJN28Ujhx4kRJkru7u1599dXbtuHs7KzFixfrxIkTOnDggHbs2KHly5crMTHRfjfwl86dO6eIiAhlZGTI1dVVly9f1qVLl+Tp6Xnb+nJzc/XFF19IunnlqEmTJpKk1q1bKyoqSoGBgerQoYPq1q37u9uKx9OtIXYFBQUaPXq0/e+h2rVrJ3d3d/tyu3bt0tq1a5WXl6eioqJS7SQkJGjv3r3617/+JWdn/pwZf9yYMWNkjNHZs2c1f/783x3S3qRJE506dUqxsbHy9/e3XwV/8cUXNWvWLF2/fl0vvfSSWrduXWrd/Px8xcTEKDU1VU5OTsrMzNTx48cZ4YAH4m73r/79+6t///4aNmyYNm/erLZt2/KnGbijkydPKiIiQvn5+QoICNB33333m+dzkhQaGqqqVavapxs0aCA/Pz9JUtOmTXXhwgXVqlVLkvTss8/qzJkzkqSsrCxFR0frzJkzcnFx0c8//6y0tDS1aNHC3q6zs7OefPJJNWrUSGfPnlX9+vU1cOBArV27Vv7+/lqzZo369+/vkM/lcUD4KyPc3d2VnZ1tH1JUVFSk3NzcEie/lSpVsr92cXGRzWa7Y7vGGA0fPly9evW67xp9fX3l6+ur/v37q3Pnztq/f7/+8pe/lFrurbfeUlRUlIKDg1VcXKznn39eBQUFv1nf5MmT9fLLL5eat3DhQh09elR79+7VoEGDFBMTo/bt29/3dqBsqlSpkjp06KCvv/5azZo1sx8LkvTTTz8pLi5O69evV926dXXo0CGNGzfOPv+bb77R8uXLtXbtWlWuXPlRlI9y5NYFiW3btmn8+PFq1aqVXFxcZIyRpBLfZ3Xr1lVSUpL27t2rXbt2ae7cuUpMTFRISIhatGih3bt3a9myZdqwYYPef//9Ev3MmTNHnp6emj59ulxdXRUeHv6b35XAvbrb/cvHx0fPPfecdu7cqbVr1+rdd999BNWirGvatKnOnDmjq1evys3NTc8884w2bdqk1atX69ixY797PiepRPCTVOKimouLS6lz3Fv7akxMjIKCgrRw4UI5OTkpJCSkxH78W+fGoaGhmjNnjlJSUrRv3z5Nmzbt/j+EcoLL42VEmzZttG7dOvv0unXr9Pzzz6tKlSr31E61atWUk5Njnw4KCtLatWv1888/S7p5Jeb48eOSbt5Z27hxoyTp//7v/7Rjx47btpmRkaHDhw/bpy9evKisrCw9/fTT9j5zc3Pt83NycuzzNmzYUOJJoLerb8WKFcrPz5ck5ebm6tSpUyoqKtK5c+fUvHlzDR06VG3bti3xkBmUP8XFxTpw4IDq169fal5ubq4qVKggT09PFRcX65NPPrHPS01N1aRJk7RkyZISF0uA+9WpUye1bdtWH3zwgerVq6ejR49KkhITE+3LXLx4US4uLgoODtb48eOVlZWl7OxsnTlzRp6enurZs6dGjhxpX/eXcnJyVKtWLbm6uurEiRM6ePCgw7YN5c+vf1/vZf8aMGCApk2bJldXV7Vs2dIR5eIxU79+fXXs2FETJ04ssZ/l5eVJ+u3zufuVk5OjOnXqyMnJSbt377bfEbyTChUq6PXXX9fw4cPVrVu3ez6fLs+481dGTJgwQVOnTlW3bt3k7OwsHx8fzZw5857b6dOnj6ZPn67ly5crMjJSr732mrKzs+0PhzHGqG/fvmrSpIlGjBih6OhohYaGytPTUy+88MJt2ywqKlJ8fLx++uknVa5cWcXFxRo7dqz9oS/h4eEaNGiQKleurFWrVmn8+PEaMWKEnnrqKQUEBJQYGjpo0CBFR0ercuXKmj17toYOHaqFCxeqV69e9ic6jho1SnXr1lVUVJRycnLk5OQkHx+fEv9eAuXHrQcA3bhxQ3/60580cuRIrVy5ssQyjRs3VmhoqDp37qwaNWqoffv29hOZFStWKC8vT2PHjrUvP3fuXIduA8qviIgI9ezZU5MnT9akSZP05JNPKjQ01D4/NTVVs2fPlnTzAsbQoUPl7e2tpUuXKjExURUqVJCTk5Oio6NLtT18+HC98847Wr9+vRo0aKAXX3zRYduF8ufXv//3sn/5+/urUqVK6tevnwMrxuMmLi5OixcvVq9eveTq6io3Nzd5eXlp6NCh8vX1ve353P0OY4+IiFBsbKzi4+PVrFkzNW7c+K7X7d27txYuXMhTln/FydwaxwIAAADLOXfunPr27asvv/ySOyQoNzZt2qQtW7boww8/fNSllCnc+QMAALCo+fPna8OGDYqKiiL4odwYPHiwzp49qyVLljzqUsoc7vwBAAAAgAXwwBcAAAAAsADCHwAAAABYAOEPAAAAACyA8AcAsJygoCB9++23Dutv6dKlmjBhgsP6AwDgdnjaJwAAD9C+ffv09ttva9euXfb3hg0b9ggrAgDgJu78AQAAAIAFEP4AAJZVWFioqVOn6pVXXtErr7yiqVOnqrCw0D5/x44dCgsLU6tWrRQcHGy/m7dhwwZ16tRJLVu2VMeOHfXJJ59IkvLy8jRkyBBlZmaqZcuWatmypTIyMhQfH69x48bZ2925c6e6dOmiF154QQMHDtSpU6fs84KCgrR8+XJ169ZNf/7znzV27FgVFBQ46BMBAJRnhD8AgGUtWbJE33//vTZt2qTNmzfr6NGjWrx4sSTpyJEjioyM1DvvvKODBw9qzZo1qlOnjiTJw8NDH3zwgQ4dOqS4uDjFxcXpv//9r6pWraply5bJy8tLhw8f1uHDh+Xt7V2iz7S0NEVERCg6Olp79uxRu3btNGzYsBKhc9u2bfrnP/+pnTt3KjU1VRs3bnTchwIAKLcIfwAAy0pMTNTIkSPl4eEhd3d3jRw5Ups3b5YkrV+/Xq+//rratm0rZ2dneXt7q1GjRpKkDh06qF69enJycpK/v7/atm2rgwcP3lWfW7duVfv27dW2bVtVqFBBgwcPVn5+vg4fPmxfZuDAgfL29lb16tUVGBioH3744cFvPADAcnjgCwDAsjIzM1W7dm37dO3atZWZmSlJSk9PV/v27W+7XnJyshYtWqTTp0+ruLhY+fn58vX1/UN9Ojs7y8fHRxkZGfb3PD097a+rVKlirwkAgPvBnT8AgGV5eXnpwoUL9un09HR5eXlJknx8fHT27NlS6xQWFmrMmDEKDw/X7t27dfDgQbVr107GGEmSk5PTPfVpjFF6enqp4aEAADxohD8AgGV16dJFS5YsUVZWlrKysrRo0SJ169ZNktSrVy9t3LhRe/bsUXFxsTIyMnTq1CkVFhaqsLBQ7u7ucnV1VXJysnbv3m1v08PDQ9nZ2crJybltn506dVJycrL27NmjGzdu6KOPPlLFihXVsmVLh2wzAMC6GPYJALCsESNG6Nq1a+revbskKTQ0VCNGjJAkNW/eXHFxcZo2bZrOnz+vmjVratKkSWrUqJEmTpyosWPHqrCwUIGBgQoKCrK32ahRI3Xp0kXBwcGy2WzasmVLiT4bNmyoWbNmacqUKcrIyJCfn5+WLl2qihUrOm7DAQCW5GRujVMBAAAAAJRbDPsEAAAAAAsg/AEAAACABRD+AAAAAMACCH8AAAAAYAGEPwAAAACwAMIfAAAAAFgA4Q8AAAAALIDwBwAAAAAWQPgDAAAAAAv4f2OYctRDyT/6AAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "india_case.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 386
        },
        "id": "CXtKz1NDXQoe",
        "outputId": "94e35f97-05b4-4610-bdfe-8ca5c8c4ac5f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     iso_code location        date  total_cases  new_cases  total_deaths  \\\n",
              "8379      IND    India  2019-12-31            0          0             0   \n",
              "8380      IND    India  2020-01-01            0          0             0   \n",
              "8381      IND    India  2020-01-02            0          0             0   \n",
              "8382      IND    India  2020-01-03            0          0             0   \n",
              "8383      IND    India  2020-01-04            0          0             0   \n",
              "\n",
              "      new_deaths  total_cases_per_million  new_cases_per_million  \\\n",
              "8379           0                      0.0                    0.0   \n",
              "8380           0                      0.0                    0.0   \n",
              "8381           0                      0.0                    0.0   \n",
              "8382           0                      0.0                    0.0   \n",
              "8383           0                      0.0                    0.0   \n",
              "\n",
              "      total_deaths_per_million  ...  aged_65_older  aged_70_older  \\\n",
              "8379                       0.0  ...          5.989          3.414   \n",
              "8380                       0.0  ...          5.989          3.414   \n",
              "8381                       0.0  ...          5.989          3.414   \n",
              "8382                       0.0  ...          5.989          3.414   \n",
              "8383                       0.0  ...          5.989          3.414   \n",
              "\n",
              "      gdp_per_capita  extreme_poverty  cvd_death_rate  diabetes_prevalence  \\\n",
              "8379        6426.674             21.2          282.28                10.39   \n",
              "8380        6426.674             21.2          282.28                10.39   \n",
              "8381        6426.674             21.2          282.28                10.39   \n",
              "8382        6426.674             21.2          282.28                10.39   \n",
              "8383        6426.674             21.2          282.28                10.39   \n",
              "\n",
              "      female_smokers male_smokers  handwashing_facilities  \\\n",
              "8379             1.9         20.6                   59.55   \n",
              "8380             1.9         20.6                   59.55   \n",
              "8381             1.9         20.6                   59.55   \n",
              "8382             1.9         20.6                   59.55   \n",
              "8383             1.9         20.6                   59.55   \n",
              "\n",
              "      hospital_beds_per_100k  \n",
              "8379                    0.53  \n",
              "8380                    0.53  \n",
              "8381                    0.53  \n",
              "8382                    0.53  \n",
              "8383                    0.53  \n",
              "\n",
              "[5 rows x 32 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c4a26554-5b42-413a-877d-b12ca4e0f148\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
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              "    }\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>iso_code</th>\n",
              "      <th>location</th>\n",
              "      <th>date</th>\n",
              "      <th>total_cases</th>\n",
              "      <th>new_cases</th>\n",
              "      <th>total_deaths</th>\n",
              "      <th>new_deaths</th>\n",
              "      <th>total_cases_per_million</th>\n",
              "      <th>new_cases_per_million</th>\n",
              "      <th>total_deaths_per_million</th>\n",
              "      <th>...</th>\n",
              "      <th>aged_65_older</th>\n",
              "      <th>aged_70_older</th>\n",
              "      <th>gdp_per_capita</th>\n",
              "      <th>extreme_poverty</th>\n",
              "      <th>cvd_death_rate</th>\n",
              "      <th>diabetes_prevalence</th>\n",
              "      <th>female_smokers</th>\n",
              "      <th>male_smokers</th>\n",
              "      <th>handwashing_facilities</th>\n",
              "      <th>hospital_beds_per_100k</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>8379</th>\n",
              "      <td>IND</td>\n",
              "      <td>India</td>\n",
              "      <td>2019-12-31</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>5.989</td>\n",
              "      <td>3.414</td>\n",
              "      <td>6426.674</td>\n",
              "      <td>21.2</td>\n",
              "      <td>282.28</td>\n",
              "      <td>10.39</td>\n",
              "      <td>1.9</td>\n",
              "      <td>20.6</td>\n",
              "      <td>59.55</td>\n",
              "      <td>0.53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8380</th>\n",
              "      <td>IND</td>\n",
              "      <td>India</td>\n",
              "      <td>2020-01-01</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>5.989</td>\n",
              "      <td>3.414</td>\n",
              "      <td>6426.674</td>\n",
              "      <td>21.2</td>\n",
              "      <td>282.28</td>\n",
              "      <td>10.39</td>\n",
              "      <td>1.9</td>\n",
              "      <td>20.6</td>\n",
              "      <td>59.55</td>\n",
              "      <td>0.53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8381</th>\n",
              "      <td>IND</td>\n",
              "      <td>India</td>\n",
              "      <td>2020-01-02</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>5.989</td>\n",
              "      <td>3.414</td>\n",
              "      <td>6426.674</td>\n",
              "      <td>21.2</td>\n",
              "      <td>282.28</td>\n",
              "      <td>10.39</td>\n",
              "      <td>1.9</td>\n",
              "      <td>20.6</td>\n",
              "      <td>59.55</td>\n",
              "      <td>0.53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8382</th>\n",
              "      <td>IND</td>\n",
              "      <td>India</td>\n",
              "      <td>2020-01-03</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>5.989</td>\n",
              "      <td>3.414</td>\n",
              "      <td>6426.674</td>\n",
              "      <td>21.2</td>\n",
              "      <td>282.28</td>\n",
              "      <td>10.39</td>\n",
              "      <td>1.9</td>\n",
              "      <td>20.6</td>\n",
              "      <td>59.55</td>\n",
              "      <td>0.53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8383</th>\n",
              "      <td>IND</td>\n",
              "      <td>India</td>\n",
              "      <td>2020-01-04</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>5.989</td>\n",
              "      <td>3.414</td>\n",
              "      <td>6426.674</td>\n",
              "      <td>21.2</td>\n",
              "      <td>282.28</td>\n",
              "      <td>10.39</td>\n",
              "      <td>1.9</td>\n",
              "      <td>20.6</td>\n",
              "      <td>59.55</td>\n",
              "      <td>0.53</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 32 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c4a26554-5b42-413a-877d-b12ca4e0f148')\"\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "      border: none;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "  </style>\n",
              "\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-c4a26554-5b42-413a-877d-b12ca4e0f148');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split"
      ],
      "metadata": {
        "id": "MZxLVA8eXzfC"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import datetime as dt\n",
        "india_case['date'] = pd.to_datetime(india_case['date']) \n",
        "india_case.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 495
        },
        "id": "fk3wyo5NX2Dz",
        "outputId": "4cb1ea48-028e-4b83-bc2f-055fdd2fa804"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \n"
          ]
        },
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              "     iso_code location       date  total_cases  new_cases  total_deaths  \\\n",
              "8379      IND    India 2019-12-31            0          0             0   \n",
              "8380      IND    India 2020-01-01            0          0             0   \n",
              "8381      IND    India 2020-01-02            0          0             0   \n",
              "8382      IND    India 2020-01-03            0          0             0   \n",
              "8383      IND    India 2020-01-04            0          0             0   \n",
              "\n",
              "      new_deaths  total_cases_per_million  new_cases_per_million  \\\n",
              "8379           0                      0.0                    0.0   \n",
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              "\n",
              "      total_deaths_per_million  ...  aged_65_older  aged_70_older  \\\n",
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              "8380                       0.0  ...          5.989          3.414   \n",
              "8381                       0.0  ...          5.989          3.414   \n",
              "8382                       0.0  ...          5.989          3.414   \n",
              "8383                       0.0  ...          5.989          3.414   \n",
              "\n",
              "      gdp_per_capita  extreme_poverty  cvd_death_rate  diabetes_prevalence  \\\n",
              "8379        6426.674             21.2          282.28                10.39   \n",
              "8380        6426.674             21.2          282.28                10.39   \n",
              "8381        6426.674             21.2          282.28                10.39   \n",
              "8382        6426.674             21.2          282.28                10.39   \n",
              "8383        6426.674             21.2          282.28                10.39   \n",
              "\n",
              "      female_smokers male_smokers  handwashing_facilities  \\\n",
              "8379             1.9         20.6                   59.55   \n",
              "8380             1.9         20.6                   59.55   \n",
              "8381             1.9         20.6                   59.55   \n",
              "8382             1.9         20.6                   59.55   \n",
              "8383             1.9         20.6                   59.55   \n",
              "\n",
              "      hospital_beds_per_100k  \n",
              "8379                    0.53  \n",
              "8380                    0.53  \n",
              "8381                    0.53  \n",
              "8382                    0.53  \n",
              "8383                    0.53  \n",
              "\n",
              "[5 rows x 32 columns]"
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              "<p>5 rows × 32 columns</p>\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
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              "    [theme=dark] .colab-df-convert {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-7c09618c-5c86-4360-aa14-0fca54565e81');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
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              "        }\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "india_case['date']=india_case['date'].map(dt.datetime.toordinal)\n",
        "india_case.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 408
        },
        "id": "feQ13tR9aPnG",
        "outputId": "528f95d1-523f-4865-96b2-ef252cb47297"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
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        },
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          "data": {
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              "     iso_code location    date  total_cases  new_cases  total_deaths  \\\n",
              "8379      IND    India  737424            0          0             0   \n",
              "8380      IND    India  737425            0          0             0   \n",
              "8381      IND    India  737426            0          0             0   \n",
              "8382      IND    India  737427            0          0             0   \n",
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              "\n",
              "      new_deaths  total_cases_per_million  new_cases_per_million  \\\n",
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              "8383           0                      0.0                    0.0   \n",
              "\n",
              "      total_deaths_per_million  ...  aged_65_older  aged_70_older  \\\n",
              "8379                       0.0  ...          5.989          3.414   \n",
              "8380                       0.0  ...          5.989          3.414   \n",
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            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x=india_case['date']\n",
        "y=india_case['total_cases']"
      ],
      "metadata": {
        "id": "li-L_KtZaRLa"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.3)"
      ],
      "metadata": {
        "id": "H9O8ptWXaqiA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.linear_model import LinearRegression"
      ],
      "metadata": {
        "id": "vciRVrteatgv"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "lr = LinearRegression()"
      ],
      "metadata": {
        "id": "s-S57tvOaxbR"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "lr.fit(np.array(x_train).reshape(-1,1),np.array(y_train).reshape(-1,1))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MBb6WjvzdLAM",
        "outputId": "d36524a2-47eb-4523-9e16-f1643a71c57a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LinearRegression()"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "india_case.tail()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "id": "_aovmCLpdPC6",
        "outputId": "25945a9b-b6cb-4e7c-ea37-7820c6bd9b58"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     iso_code location    date  total_cases  new_cases  total_deaths  \\\n",
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              "8520      IND    India  737566       112359       5609          3435   \n",
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              "8523      IND    India  737569       131868       6767          3867   \n",
              "\n",
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              "\n",
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              "8522                     2.696  ...          5.989          3.414   \n",
              "8523                     2.802  ...          5.989          3.414   \n",
              "\n",
              "      gdp_per_capita  extreme_poverty  cvd_death_rate  diabetes_prevalence  \\\n",
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              "\n",
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              "8519                    0.53  \n",
              "8520                    0.53  \n",
              "8521                    0.53  \n",
              "8522                    0.53  \n",
              "8523                    0.53  \n",
              "\n",
              "[5 rows x 32 columns]"
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>8522</th>\n",
              "      <td>IND</td>\n",
              "      <td>India</td>\n",
              "      <td>737568</td>\n",
              "      <td>125101</td>\n",
              "      <td>6654</td>\n",
              "      <td>3720</td>\n",
              "      <td>137</td>\n",
              "      <td>90.653</td>\n",
              "      <td>4.822</td>\n",
              "      <td>2.696</td>\n",
              "      <td>...</td>\n",
              "      <td>5.989</td>\n",
              "      <td>3.414</td>\n",
              "      <td>6426.674</td>\n",
              "      <td>21.2</td>\n",
              "      <td>282.28</td>\n",
              "      <td>10.39</td>\n",
              "      <td>1.9</td>\n",
              "      <td>20.6</td>\n",
              "      <td>59.55</td>\n",
              "      <td>0.53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8523</th>\n",
              "      <td>IND</td>\n",
              "      <td>India</td>\n",
              "      <td>737569</td>\n",
              "      <td>131868</td>\n",
              "      <td>6767</td>\n",
              "      <td>3867</td>\n",
              "      <td>147</td>\n",
              "      <td>95.556</td>\n",
              "      <td>4.904</td>\n",
              "      <td>2.802</td>\n",
              "      <td>...</td>\n",
              "      <td>5.989</td>\n",
              "      <td>3.414</td>\n",
              "      <td>6426.674</td>\n",
              "      <td>21.2</td>\n",
              "      <td>282.28</td>\n",
              "      <td>10.39</td>\n",
              "      <td>1.9</td>\n",
              "      <td>20.6</td>\n",
              "      <td>59.55</td>\n",
              "      <td>0.53</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 32 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8b92dca3-0c9e-407b-942e-ebb30715f6cf')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-8b92dca3-0c9e-407b-942e-ebb30715f6cf button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-8b92dca3-0c9e-407b-942e-ebb30715f6cf');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_pred=lr.predict(np.array(x_test).reshape(-1,1))"
      ],
      "metadata": {
        "id": "S6pcUp6hdQce"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import mean_squared_error"
      ],
      "metadata": {
        "id": "faAxKOWCdWHT"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "mean_squared_error(x_test,y_pred)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b9gGddaCdcG5",
        "outputId": "71d5ea72-9d0c-4be9-c2ec-351b85cbd3e3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "521006248737.2556"
            ]
          },
          "metadata": {},
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "lr.predict(np.array([[737573]]))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qN2w8FEadc9D",
        "outputId": "d2fea4ba-cab2-4ba5-b6e0-3ee1ac258412"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[51986.0881415]])"
            ]
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    }
  ]
}