1050FinalEDA.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "105FinalEDA.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "8FyFSNohizhS"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv(\"https://covid.ourworldindata.org/data/owid-covid-data.csv\")\n",
        "df.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 317
        },
        "id": "ESwYL4pWkObh",
        "outputId": "963472a7-0eca-4e0e-acfc-3d0aec073069"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>total_cases</th>\n",
              "      <th>new_cases</th>\n",
              "      <th>new_cases_smoothed</th>\n",
              "      <th>total_deaths</th>\n",
              "      <th>new_deaths</th>\n",
              "      <th>new_deaths_smoothed</th>\n",
              "      <th>total_cases_per_million</th>\n",
              "      <th>new_cases_per_million</th>\n",
              "      <th>new_cases_smoothed_per_million</th>\n",
              "      <th>total_deaths_per_million</th>\n",
              "      <th>new_deaths_per_million</th>\n",
              "      <th>new_deaths_smoothed_per_million</th>\n",
              "      <th>reproduction_rate</th>\n",
              "      <th>icu_patients</th>\n",
              "      <th>icu_patients_per_million</th>\n",
              "      <th>hosp_patients</th>\n",
              "      <th>hosp_patients_per_million</th>\n",
              "      <th>weekly_icu_admissions</th>\n",
              "      <th>weekly_icu_admissions_per_million</th>\n",
              "      <th>weekly_hosp_admissions</th>\n",
              "      <th>weekly_hosp_admissions_per_million</th>\n",
              "      <th>new_tests</th>\n",
              "      <th>total_tests</th>\n",
              "      <th>total_tests_per_thousand</th>\n",
              "      <th>new_tests_per_thousand</th>\n",
              "      <th>new_tests_smoothed</th>\n",
              "      <th>new_tests_smoothed_per_thousand</th>\n",
              "      <th>positive_rate</th>\n",
              "      <th>tests_per_case</th>\n",
              "      <th>total_vaccinations</th>\n",
              "      <th>people_vaccinated</th>\n",
              "      <th>people_fully_vaccinated</th>\n",
              "      <th>total_boosters</th>\n",
              "      <th>new_vaccinations</th>\n",
              "      <th>new_vaccinations_smoothed</th>\n",
              "      <th>total_vaccinations_per_hundred</th>\n",
              "      <th>people_vaccinated_per_hundred</th>\n",
              "      <th>people_fully_vaccinated_per_hundred</th>\n",
              "      <th>total_boosters_per_hundred</th>\n",
              "      <th>new_vaccinations_smoothed_per_million</th>\n",
              "      <th>new_people_vaccinated_smoothed</th>\n",
              "      <th>new_people_vaccinated_smoothed_per_hundred</th>\n",
              "      <th>stringency_index</th>\n",
              "      <th>population</th>\n",
              "      <th>population_density</th>\n",
              "      <th>median_age</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>cardiovasc_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_thousand</th>\n",
              "      <th>life_expectancy</th>\n",
              "      <th>human_development_index</th>\n",
              "      <th>excess_mortality_cumulative_absolute</th>\n",
              "      <th>excess_mortality_cumulative</th>\n",
              "      <th>excess_mortality</th>\n",
              "      <th>excess_mortality_cumulative_per_million</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1.316200e+05</td>\n",
              "      <td>131615.000000</td>\n",
              "      <td>130575.000000</td>\n",
              "      <td>1.202630e+05</td>\n",
              "      <td>120459.000000</td>\n",
              "      <td>130575.000000</td>\n",
              "      <td>130946.000000</td>\n",
              "      <td>130941.000000</td>\n",
              "      <td>129906.000000</td>\n",
              "      <td>119602.000000</td>\n",
              "      <td>119798.000000</td>\n",
              "      <td>129906.000000</td>\n",
              "      <td>110160.000000</td>\n",
              "      <td>17100.000000</td>\n",
              "      <td>17100.000000</td>\n",
              "      <td>19542.000000</td>\n",
              "      <td>19542.000000</td>\n",
              "      <td>1328.000000</td>\n",
              "      <td>1328.000000</td>\n",
              "      <td>2211.000000</td>\n",
              "      <td>2211.000000</td>\n",
              "      <td>5.843000e+04</td>\n",
              "      <td>5.856300e+04</td>\n",
              "      <td>58563.000000</td>\n",
              "      <td>58430.000000</td>\n",
              "      <td>7.038800e+04</td>\n",
              "      <td>70388.000000</td>\n",
              "      <td>66282.000000</td>\n",
              "      <td>65621.000000</td>\n",
              "      <td>3.662400e+04</td>\n",
              "      <td>3.500100e+04</td>\n",
              "      <td>3.206900e+04</td>\n",
              "      <td>9.436000e+03</td>\n",
              "      <td>3.044700e+04</td>\n",
              "      <td>6.594400e+04</td>\n",
              "      <td>36624.000000</td>\n",
              "      <td>35001.000000</td>\n",
              "      <td>32069.000000</td>\n",
              "      <td>9436.000000</td>\n",
              "      <td>65944.000000</td>\n",
              "      <td>6.478200e+04</td>\n",
              "      <td>64782.000000</td>\n",
              "      <td>113262.000000</td>\n",
              "      <td>1.383910e+05</td>\n",
              "      <td>126163.000000</td>\n",
              "      <td>120118.000000</td>\n",
              "      <td>118792.000000</td>\n",
              "      <td>119463.000000</td>\n",
              "      <td>120925.000000</td>\n",
              "      <td>80759.000000</td>\n",
              "      <td>120334.000000</td>\n",
              "      <td>124384.000000</td>\n",
              "      <td>93693.000000</td>\n",
              "      <td>92341.000000</td>\n",
              "      <td>60563.000000</td>\n",
              "      <td>109292.000000</td>\n",
              "      <td>129582.000000</td>\n",
              "      <td>120425.000000</td>\n",
              "      <td>4881.000000</td>\n",
              "      <td>4881.000000</td>\n",
              "      <td>4881.000000</td>\n",
              "      <td>4881.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>2.195452e+06</td>\n",
              "      <td>8559.717327</td>\n",
              "      <td>8563.451307</td>\n",
              "      <td>5.334078e+04</td>\n",
              "      <td>182.695506</td>\n",
              "      <td>167.805190</td>\n",
              "      <td>21479.900731</td>\n",
              "      <td>91.349637</td>\n",
              "      <td>91.176799</td>\n",
              "      <td>429.714347</td>\n",
              "      <td>1.600165</td>\n",
              "      <td>1.467138</td>\n",
              "      <td>0.996305</td>\n",
              "      <td>884.629825</td>\n",
              "      <td>22.707559</td>\n",
              "      <td>4044.037202</td>\n",
              "      <td>159.907346</td>\n",
              "      <td>258.054970</td>\n",
              "      <td>17.888689</td>\n",
              "      <td>3324.824966</td>\n",
              "      <td>90.130810</td>\n",
              "      <td>5.910424e+04</td>\n",
              "      <td>1.310322e+07</td>\n",
              "      <td>555.894336</td>\n",
              "      <td>2.648964</td>\n",
              "      <td>5.540552e+04</td>\n",
              "      <td>2.525476</td>\n",
              "      <td>0.085503</td>\n",
              "      <td>159.648372</td>\n",
              "      <td>1.241523e+08</td>\n",
              "      <td>6.675527e+07</td>\n",
              "      <td>4.795486e+07</td>\n",
              "      <td>4.993640e+06</td>\n",
              "      <td>1.094904e+06</td>\n",
              "      <td>5.153673e+05</td>\n",
              "      <td>56.581346</td>\n",
              "      <td>32.001054</td>\n",
              "      <td>25.867136</td>\n",
              "      <td>3.746448</td>\n",
              "      <td>3403.821788</td>\n",
              "      <td>2.649842e+05</td>\n",
              "      <td>0.173905</td>\n",
              "      <td>55.853403</td>\n",
              "      <td>1.567819e+08</td>\n",
              "      <td>403.080867</td>\n",
              "      <td>30.489522</td>\n",
              "      <td>8.737629</td>\n",
              "      <td>5.526888</td>\n",
              "      <td>19235.419493</td>\n",
              "      <td>13.528716</td>\n",
              "      <td>260.144778</td>\n",
              "      <td>8.052904</td>\n",
              "      <td>10.586103</td>\n",
              "      <td>32.753211</td>\n",
              "      <td>50.837213</td>\n",
              "      <td>3.027838</td>\n",
              "      <td>73.262401</td>\n",
              "      <td>0.726014</td>\n",
              "      <td>34081.168408</td>\n",
              "      <td>9.300443</td>\n",
              "      <td>16.473342</td>\n",
              "      <td>846.448426</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.245719e+07</td>\n",
              "      <td>44551.382323</td>\n",
              "      <td>43912.561191</td>\n",
              "      <td>2.729904e+05</td>\n",
              "      <td>864.607480</td>\n",
              "      <td>811.783588</td>\n",
              "      <td>35283.598286</td>\n",
              "      <td>215.906718</td>\n",
              "      <td>182.502998</td>\n",
              "      <td>694.696572</td>\n",
              "      <td>4.133591</td>\n",
              "      <td>3.123640</td>\n",
              "      <td>0.340955</td>\n",
              "      <td>2772.435842</td>\n",
              "      <td>24.777449</td>\n",
              "      <td>11102.879508</td>\n",
              "      <td>213.465692</td>\n",
              "      <td>529.619868</td>\n",
              "      <td>32.834642</td>\n",
              "      <td>10473.294243</td>\n",
              "      <td>142.162288</td>\n",
              "      <td>1.987878e+05</td>\n",
              "      <td>5.314157e+07</td>\n",
              "      <td>1349.330571</td>\n",
              "      <td>7.233811</td>\n",
              "      <td>1.778533e+05</td>\n",
              "      <td>5.996355</td>\n",
              "      <td>0.095145</td>\n",
              "      <td>830.421133</td>\n",
              "      <td>5.751547e+08</td>\n",
              "      <td>3.145819e+08</td>\n",
              "      <td>2.384430e+08</td>\n",
              "      <td>2.075052e+07</td>\n",
              "      <td>4.172248e+06</td>\n",
              "      <td>2.809202e+06</td>\n",
              "      <td>53.263103</td>\n",
              "      <td>26.994487</td>\n",
              "      <td>25.016393</td>\n",
              "      <td>7.891943</td>\n",
              "      <td>4064.476544</td>\n",
              "      <td>2.430098e+06</td>\n",
              "      <td>0.275547</td>\n",
              "      <td>20.606194</td>\n",
              "      <td>7.268482e+08</td>\n",
              "      <td>1880.569911</td>\n",
              "      <td>9.113887</td>\n",
              "      <td>6.177989</td>\n",
              "      <td>4.212237</td>\n",
              "      <td>20092.755476</td>\n",
              "      <td>20.000184</td>\n",
              "      <td>119.893488</td>\n",
              "      <td>4.324941</td>\n",
              "      <td>10.500102</td>\n",
              "      <td>13.517675</td>\n",
              "      <td>31.817005</td>\n",
              "      <td>2.454095</td>\n",
              "      <td>7.529330</td>\n",
              "      <td>0.150013</td>\n",
              "      <td>95174.579608</td>\n",
              "      <td>17.397939</td>\n",
              "      <td>31.774410</td>\n",
              "      <td>1254.158036</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>-74347.000000</td>\n",
              "      <td>-6223.000000</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>-1918.000000</td>\n",
              "      <td>-232.143000</td>\n",
              "      <td>0.001000</td>\n",
              "      <td>-3125.829000</td>\n",
              "      <td>-272.971000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-75.911000</td>\n",
              "      <td>-10.844000</td>\n",
              "      <td>-0.030000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>4.700000e+01</td>\n",
              "      <td>0.137000</td>\n",
              "      <td>15.100000</td>\n",
              "      <td>1.144000</td>\n",
              "      <td>0.526000</td>\n",
              "      <td>661.240000</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>79.370000</td>\n",
              "      <td>0.990000</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>7.700000</td>\n",
              "      <td>1.188000</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>53.280000</td>\n",
              "      <td>0.394000</td>\n",
              "      <td>-31959.400000</td>\n",
              "      <td>-27.350000</td>\n",
              "      <td>-95.920000</td>\n",
              "      <td>-1728.844404</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>2.633000e+03</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>10.714000</td>\n",
              "      <td>8.600000e+01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.143000</td>\n",
              "      <td>459.884500</td>\n",
              "      <td>0.326000</td>\n",
              "      <td>1.649250</td>\n",
              "      <td>12.932000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.004000</td>\n",
              "      <td>0.830000</td>\n",
              "      <td>26.000000</td>\n",
              "      <td>4.128000</td>\n",
              "      <td>113.000000</td>\n",
              "      <td>23.480000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>1.909000</td>\n",
              "      <td>57.000000</td>\n",
              "      <td>12.388000</td>\n",
              "      <td>2.230000e+03</td>\n",
              "      <td>2.843015e+05</td>\n",
              "      <td>25.879500</td>\n",
              "      <td>0.207000</td>\n",
              "      <td>2.321750e+03</td>\n",
              "      <td>0.228000</td>\n",
              "      <td>0.016200</td>\n",
              "      <td>8.100000</td>\n",
              "      <td>4.335382e+05</td>\n",
              "      <td>3.006230e+05</td>\n",
              "      <td>1.882380e+05</td>\n",
              "      <td>1.147500e+02</td>\n",
              "      <td>6.490500e+03</td>\n",
              "      <td>1.096000e+03</td>\n",
              "      <td>7.720000</td>\n",
              "      <td>5.660000</td>\n",
              "      <td>3.130000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>638.000000</td>\n",
              "      <td>5.540000e+02</td>\n",
              "      <td>0.030000</td>\n",
              "      <td>41.670000</td>\n",
              "      <td>2.015490e+06</td>\n",
              "      <td>36.253000</td>\n",
              "      <td>22.200000</td>\n",
              "      <td>3.466000</td>\n",
              "      <td>2.063000</td>\n",
              "      <td>4449.898000</td>\n",
              "      <td>0.600000</td>\n",
              "      <td>168.711000</td>\n",
              "      <td>5.310000</td>\n",
              "      <td>1.900000</td>\n",
              "      <td>21.600000</td>\n",
              "      <td>20.105000</td>\n",
              "      <td>1.300000</td>\n",
              "      <td>67.940000</td>\n",
              "      <td>0.602000</td>\n",
              "      <td>-133.400000</td>\n",
              "      <td>-0.830000</td>\n",
              "      <td>-0.480000</td>\n",
              "      <td>-37.116739</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>3.036550e+04</td>\n",
              "      <td>106.000000</td>\n",
              "      <td>131.571000</td>\n",
              "      <td>8.050000e+02</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>3558.199000</td>\n",
              "      <td>11.409000</td>\n",
              "      <td>16.229000</td>\n",
              "      <td>88.848000</td>\n",
              "      <td>0.164000</td>\n",
              "      <td>0.213000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>132.000000</td>\n",
              "      <td>13.530000</td>\n",
              "      <td>569.500000</td>\n",
              "      <td>72.810000</td>\n",
              "      <td>40.000000</td>\n",
              "      <td>6.732000</td>\n",
              "      <td>348.000000</td>\n",
              "      <td>40.079000</td>\n",
              "      <td>8.249000e+03</td>\n",
              "      <td>1.439601e+06</td>\n",
              "      <td>130.239000</td>\n",
              "      <td>0.792000</td>\n",
              "      <td>8.628500e+03</td>\n",
              "      <td>0.861000</td>\n",
              "      <td>0.050000</td>\n",
              "      <td>19.700000</td>\n",
              "      <td>3.276535e+06</td>\n",
              "      <td>2.155040e+06</td>\n",
              "      <td>1.517761e+06</td>\n",
              "      <td>5.865700e+04</td>\n",
              "      <td>3.938300e+04</td>\n",
              "      <td>8.987000e+03</td>\n",
              "      <td>40.710000</td>\n",
              "      <td>26.860000</td>\n",
              "      <td>17.410000</td>\n",
              "      <td>0.130000</td>\n",
              "      <td>2243.000000</td>\n",
              "      <td>4.631500e+03</td>\n",
              "      <td>0.093000</td>\n",
              "      <td>56.480000</td>\n",
              "      <td>9.749625e+06</td>\n",
              "      <td>83.479000</td>\n",
              "      <td>29.700000</td>\n",
              "      <td>6.378000</td>\n",
              "      <td>3.871000</td>\n",
              "      <td>12895.635000</td>\n",
              "      <td>2.200000</td>\n",
              "      <td>243.811000</td>\n",
              "      <td>7.140000</td>\n",
              "      <td>6.300000</td>\n",
              "      <td>31.400000</td>\n",
              "      <td>49.839000</td>\n",
              "      <td>2.400000</td>\n",
              "      <td>74.620000</td>\n",
              "      <td>0.744000</td>\n",
              "      <td>2958.200000</td>\n",
              "      <td>5.590000</td>\n",
              "      <td>7.070000</td>\n",
              "      <td>395.023346</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2.847530e+05</td>\n",
              "      <td>1101.000000</td>\n",
              "      <td>1162.071500</td>\n",
              "      <td>7.026500e+03</td>\n",
              "      <td>22.000000</td>\n",
              "      <td>18.857000</td>\n",
              "      <td>27668.588750</td>\n",
              "      <td>85.747000</td>\n",
              "      <td>95.975750</td>\n",
              "      <td>575.441250</td>\n",
              "      <td>1.383000</td>\n",
              "      <td>1.405000</td>\n",
              "      <td>1.160000</td>\n",
              "      <td>532.000000</td>\n",
              "      <td>34.175750</td>\n",
              "      <td>2574.750000</td>\n",
              "      <td>205.714500</td>\n",
              "      <td>224.000000</td>\n",
              "      <td>19.190750</td>\n",
              "      <td>1707.000000</td>\n",
              "      <td>113.616500</td>\n",
              "      <td>3.216925e+04</td>\n",
              "      <td>6.091002e+06</td>\n",
              "      <td>517.073500</td>\n",
              "      <td>2.453000</td>\n",
              "      <td>3.447350e+04</td>\n",
              "      <td>2.524250</td>\n",
              "      <td>0.122800</td>\n",
              "      <td>58.800000</td>\n",
              "      <td>1.993514e+07</td>\n",
              "      <td>1.254738e+07</td>\n",
              "      <td>8.738468e+06</td>\n",
              "      <td>1.365871e+06</td>\n",
              "      <td>2.563125e+05</td>\n",
              "      <td>6.277100e+04</td>\n",
              "      <td>98.457500</td>\n",
              "      <td>56.280000</td>\n",
              "      <td>46.230000</td>\n",
              "      <td>3.550000</td>\n",
              "      <td>4916.000000</td>\n",
              "      <td>3.159000e+04</td>\n",
              "      <td>0.229000</td>\n",
              "      <td>71.760000</td>\n",
              "      <td>3.734479e+07</td>\n",
              "      <td>209.588000</td>\n",
              "      <td>39.100000</td>\n",
              "      <td>14.178000</td>\n",
              "      <td>8.678000</td>\n",
              "      <td>27216.445000</td>\n",
              "      <td>21.200000</td>\n",
              "      <td>329.942000</td>\n",
              "      <td>10.080000</td>\n",
              "      <td>19.300000</td>\n",
              "      <td>41.300000</td>\n",
              "      <td>83.241000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>78.740000</td>\n",
              "      <td>0.845000</td>\n",
              "      <td>22071.700000</td>\n",
              "      <td>14.000000</td>\n",
              "      <td>22.880000</td>\n",
              "      <td>1412.769020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2.697360e+08</td>\n",
              "      <td>908289.000000</td>\n",
              "      <td>827219.857000</td>\n",
              "      <td>5.301714e+06</td>\n",
              "      <td>18007.000000</td>\n",
              "      <td>14703.286000</td>\n",
              "      <td>254175.218000</td>\n",
              "      <td>8620.690000</td>\n",
              "      <td>3544.004000</td>\n",
              "      <td>6047.258000</td>\n",
              "      <td>203.513000</td>\n",
              "      <td>94.804000</td>\n",
              "      <td>5.910000</td>\n",
              "      <td>28891.000000</td>\n",
              "      <td>192.642000</td>\n",
              "      <td>133268.000000</td>\n",
              "      <td>1544.082000</td>\n",
              "      <td>4492.000000</td>\n",
              "      <td>279.504000</td>\n",
              "      <td>116243.000000</td>\n",
              "      <td>1365.540000</td>\n",
              "      <td>3.740296e+06</td>\n",
              "      <td>6.733036e+08</td>\n",
              "      <td>19398.999000</td>\n",
              "      <td>534.013000</td>\n",
              "      <td>3.080396e+06</td>\n",
              "      <td>93.164000</td>\n",
              "      <td>0.970400</td>\n",
              "      <td>50000.000000</td>\n",
              "      <td>8.447075e+09</td>\n",
              "      <td>4.408091e+09</td>\n",
              "      <td>3.625389e+09</td>\n",
              "      <td>3.636052e+08</td>\n",
              "      <td>5.505967e+07</td>\n",
              "      <td>4.302838e+07</td>\n",
              "      <td>303.220000</td>\n",
              "      <td>121.770000</td>\n",
              "      <td>118.340000</td>\n",
              "      <td>63.110000</td>\n",
              "      <td>117497.000000</td>\n",
              "      <td>1.005933e+08</td>\n",
              "      <td>11.750000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>7.874966e+09</td>\n",
              "      <td>20546.766000</td>\n",
              "      <td>48.200000</td>\n",
              "      <td>27.049000</td>\n",
              "      <td>18.493000</td>\n",
              "      <td>116935.600000</td>\n",
              "      <td>77.600000</td>\n",
              "      <td>724.417000</td>\n",
              "      <td>30.530000</td>\n",
              "      <td>44.000000</td>\n",
              "      <td>78.100000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>13.800000</td>\n",
              "      <td>86.750000</td>\n",
              "      <td>0.957000</td>\n",
              "      <td>984309.300000</td>\n",
              "      <td>121.160000</td>\n",
              "      <td>373.940000</td>\n",
              "      <td>7270.553623</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        total_cases  ...  excess_mortality_cumulative_per_million\n",
              "count  1.316200e+05  ...                              4881.000000\n",
              "mean   2.195452e+06  ...                               846.448426\n",
              "std    1.245719e+07  ...                              1254.158036\n",
              "min    1.000000e+00  ...                             -1728.844404\n",
              "25%    2.633000e+03  ...                               -37.116739\n",
              "50%    3.036550e+04  ...                               395.023346\n",
              "75%    2.847530e+05  ...                              1412.769020\n",
              "max    2.697360e+08  ...                              7270.553623\n",
              "\n",
              "[8 rows x 62 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.head(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "id": "NU94rpF0vR8x",
        "outputId": "c66ec509-c173-4c91-de2e-c3992a9f20ba"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\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>continent</th>\n",
              "      <th>location</th>\n",
              "      <th>date</th>\n",
              "      <th>total_cases</th>\n",
              "      <th>new_cases</th>\n",
              "      <th>new_cases_smoothed</th>\n",
              "      <th>total_deaths</th>\n",
              "      <th>new_deaths</th>\n",
              "      <th>new_deaths_smoothed</th>\n",
              "      <th>total_cases_per_million</th>\n",
              "      <th>new_cases_per_million</th>\n",
              "      <th>new_cases_smoothed_per_million</th>\n",
              "      <th>total_deaths_per_million</th>\n",
              "      <th>new_deaths_per_million</th>\n",
              "      <th>new_deaths_smoothed_per_million</th>\n",
              "      <th>reproduction_rate</th>\n",
              "      <th>icu_patients</th>\n",
              "      <th>icu_patients_per_million</th>\n",
              "      <th>hosp_patients</th>\n",
              "      <th>hosp_patients_per_million</th>\n",
              "      <th>weekly_icu_admissions</th>\n",
              "      <th>weekly_icu_admissions_per_million</th>\n",
              "      <th>weekly_hosp_admissions</th>\n",
              "      <th>weekly_hosp_admissions_per_million</th>\n",
              "      <th>new_tests</th>\n",
              "      <th>total_tests</th>\n",
              "      <th>total_tests_per_thousand</th>\n",
              "      <th>new_tests_per_thousand</th>\n",
              "      <th>new_tests_smoothed</th>\n",
              "      <th>new_tests_smoothed_per_thousand</th>\n",
              "      <th>positive_rate</th>\n",
              "      <th>tests_per_case</th>\n",
              "      <th>tests_units</th>\n",
              "      <th>total_vaccinations</th>\n",
              "      <th>people_vaccinated</th>\n",
              "      <th>people_fully_vaccinated</th>\n",
              "      <th>total_boosters</th>\n",
              "      <th>new_vaccinations</th>\n",
              "      <th>new_vaccinations_smoothed</th>\n",
              "      <th>total_vaccinations_per_hundred</th>\n",
              "      <th>people_vaccinated_per_hundred</th>\n",
              "      <th>people_fully_vaccinated_per_hundred</th>\n",
              "      <th>total_boosters_per_hundred</th>\n",
              "      <th>new_vaccinations_smoothed_per_million</th>\n",
              "      <th>new_people_vaccinated_smoothed</th>\n",
              "      <th>new_people_vaccinated_smoothed_per_hundred</th>\n",
              "      <th>stringency_index</th>\n",
              "      <th>population</th>\n",
              "      <th>population_density</th>\n",
              "      <th>median_age</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>cardiovasc_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_thousand</th>\n",
              "      <th>life_expectancy</th>\n",
              "      <th>human_development_index</th>\n",
              "      <th>excess_mortality_cumulative_absolute</th>\n",
              "      <th>excess_mortality_cumulative</th>\n",
              "      <th>excess_mortality</th>\n",
              "      <th>excess_mortality_cumulative_per_million</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>AFG</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>2020-02-24</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.126</td>\n",
              "      <td>0.126</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.33</td>\n",
              "      <td>39835428.0</td>\n",
              "      <td>54.422</td>\n",
              "      <td>18.6</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>0.5</td>\n",
              "      <td>64.83</td>\n",
              "      <td>0.511</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>AFG</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>2020-02-25</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.126</td>\n",
              "      <td>0.000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.33</td>\n",
              "      <td>39835428.0</td>\n",
              "      <td>54.422</td>\n",
              "      <td>18.6</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>0.5</td>\n",
              "      <td>64.83</td>\n",
              "      <td>0.511</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>AFG</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>2020-02-26</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.126</td>\n",
              "      <td>0.000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.33</td>\n",
              "      <td>39835428.0</td>\n",
              "      <td>54.422</td>\n",
              "      <td>18.6</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>0.5</td>\n",
              "      <td>64.83</td>\n",
              "      <td>0.511</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>AFG</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>2020-02-27</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.126</td>\n",
              "      <td>0.000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.33</td>\n",
              "      <td>39835428.0</td>\n",
              "      <td>54.422</td>\n",
              "      <td>18.6</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>0.5</td>\n",
              "      <td>64.83</td>\n",
              "      <td>0.511</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>AFG</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>2020-02-28</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.126</td>\n",
              "      <td>0.000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.33</td>\n",
              "      <td>39835428.0</td>\n",
              "      <td>54.422</td>\n",
              "      <td>18.6</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>0.5</td>\n",
              "      <td>64.83</td>\n",
              "      <td>0.511</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  iso_code continent  ... excess_mortality excess_mortality_cumulative_per_million\n",
              "0      AFG      Asia  ...              NaN                                     NaN\n",
              "1      AFG      Asia  ...              NaN                                     NaN\n",
              "2      AFG      Asia  ...              NaN                                     NaN\n",
              "3      AFG      Asia  ...              NaN                                     NaN\n",
              "4      AFG      Asia  ...              NaN                                     NaN\n",
              "\n",
              "[5 rows x 67 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "unique_countries=df.location.unique()\n",
        "unique_countries"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8HxMrPaqLGx9",
        "outputId": "3ba86fc7-a9d7-4a11-c1a9-1a5d743c1975"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Afghanistan', 'Africa', 'Albania', 'Algeria', 'Andorra', 'Angola',\n",
              "       'Anguilla', 'Antigua and Barbuda', 'Argentina', 'Armenia', 'Aruba',\n",
              "       'Asia', 'Australia', 'Austria', 'Azerbaijan', 'Bahamas', 'Bahrain',\n",
              "       'Bangladesh', 'Barbados', 'Belarus', 'Belgium', 'Belize', 'Benin',\n",
              "       'Bermuda', 'Bhutan', 'Bolivia', 'Bonaire Sint Eustatius and Saba',\n",
              "       'Bosnia and Herzegovina', 'Botswana', 'Brazil',\n",
              "       'British Virgin Islands', 'Brunei', 'Bulgaria', 'Burkina Faso',\n",
              "       'Burundi', 'Cambodia', 'Cameroon', 'Canada', 'Cape Verde',\n",
              "       'Cayman Islands', 'Central African Republic', 'Chad', 'Chile',\n",
              "       'China', 'Colombia', 'Comoros', 'Congo', 'Cook Islands',\n",
              "       'Costa Rica', \"Cote d'Ivoire\", 'Croatia', 'Cuba', 'Curacao',\n",
              "       'Cyprus', 'Czechia', 'Democratic Republic of Congo', 'Denmark',\n",
              "       'Djibouti', 'Dominica', 'Dominican Republic', 'Ecuador', 'Egypt',\n",
              "       'El Salvador', 'Equatorial Guinea', 'Eritrea', 'Estonia',\n",
              "       'Eswatini', 'Ethiopia', 'Europe', 'European Union',\n",
              "       'Faeroe Islands', 'Falkland Islands', 'Fiji', 'Finland', 'France',\n",
              "       'French Polynesia', 'Gabon', 'Gambia', 'Georgia', 'Germany',\n",
              "       'Ghana', 'Gibraltar', 'Greece', 'Greenland', 'Grenada',\n",
              "       'Guatemala', 'Guernsey', 'Guinea', 'Guinea-Bissau', 'Guyana',\n",
              "       'Haiti', 'High income', 'Honduras', 'Hong Kong', 'Hungary',\n",
              "       'Iceland', 'India', 'Indonesia', 'International', 'Iran', 'Iraq',\n",
              "       'Ireland', 'Isle of Man', 'Israel', 'Italy', 'Jamaica', 'Japan',\n",
              "       'Jersey', 'Jordan', 'Kazakhstan', 'Kenya', 'Kiribati', 'Kosovo',\n",
              "       'Kuwait', 'Kyrgyzstan', 'Laos', 'Latvia', 'Lebanon', 'Lesotho',\n",
              "       'Liberia', 'Libya', 'Liechtenstein', 'Lithuania', 'Low income',\n",
              "       'Lower middle income', 'Luxembourg', 'Macao', 'Madagascar',\n",
              "       'Malawi', 'Malaysia', 'Maldives', 'Mali', 'Malta',\n",
              "       'Marshall Islands', 'Mauritania', 'Mauritius', 'Mexico',\n",
              "       'Micronesia (country)', 'Moldova', 'Monaco', 'Mongolia',\n",
              "       'Montenegro', 'Montserrat', 'Morocco', 'Mozambique', 'Myanmar',\n",
              "       'Namibia', 'Nauru', 'Nepal', 'Netherlands', 'New Caledonia',\n",
              "       'New Zealand', 'Nicaragua', 'Niger', 'Nigeria', 'Niue',\n",
              "       'North America', 'North Macedonia', 'Northern Cyprus', 'Norway',\n",
              "       'Oceania', 'Oman', 'Pakistan', 'Palau', 'Palestine', 'Panama',\n",
              "       'Papua New Guinea', 'Paraguay', 'Peru', 'Philippines', 'Pitcairn',\n",
              "       'Poland', 'Portugal', 'Qatar', 'Romania', 'Russia', 'Rwanda',\n",
              "       'Saint Helena', 'Saint Kitts and Nevis', 'Saint Lucia',\n",
              "       'Saint Vincent and the Grenadines', 'Samoa', 'San Marino',\n",
              "       'Sao Tome and Principe', 'Saudi Arabia', 'Senegal', 'Serbia',\n",
              "       'Seychelles', 'Sierra Leone', 'Singapore',\n",
              "       'Sint Maarten (Dutch part)', 'Slovakia', 'Slovenia',\n",
              "       'Solomon Islands', 'Somalia', 'South Africa', 'South America',\n",
              "       'South Korea', 'South Sudan', 'Spain', 'Sri Lanka', 'Sudan',\n",
              "       'Suriname', 'Sweden', 'Switzerland', 'Syria', 'Taiwan',\n",
              "       'Tajikistan', 'Tanzania', 'Thailand', 'Timor', 'Togo', 'Tokelau',\n",
              "       'Tonga', 'Trinidad and Tobago', 'Tunisia', 'Turkey',\n",
              "       'Turkmenistan', 'Turks and Caicos Islands', 'Tuvalu', 'Uganda',\n",
              "       'Ukraine', 'United Arab Emirates', 'United Kingdom',\n",
              "       'United States', 'Upper middle income', 'Uruguay', 'Uzbekistan',\n",
              "       'Vanuatu', 'Vatican', 'Venezuela', 'Vietnam', 'Wallis and Futuna',\n",
              "       'World', 'Yemen', 'Zambia', 'Zimbabwe'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Getting the most recent daily data for each country\n",
        "\n",
        "All_countries_Recent_df=[]\n",
        "temp=[]\n",
        "for i in unique_countries:\n",
        "  temp=df.loc[df['location'] == i]\n",
        "  recent=temp.iloc[-1]\n",
        "  All_countries_Recent_df.append(recent)"
      ],
      "metadata": {
        "id": "QKrd-RV9LUML"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Turn into df\n",
        "All_countries_Recent_df=pd.DataFrame(All_countries_Recent_df)\n",
        "\n",
        "All_countries_Recent_df\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 609
        },
        "id": "u3vGjWWALfst",
        "outputId": "993c1fec-99e9-48a4-e39a-6c04e4f6564e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>iso_code</th>\n",
              "      <th>continent</th>\n",
              "      <th>location</th>\n",
              "      <th>date</th>\n",
              "      <th>total_cases</th>\n",
              "      <th>new_cases</th>\n",
              "      <th>new_cases_smoothed</th>\n",
              "      <th>total_deaths</th>\n",
              "      <th>new_deaths</th>\n",
              "      <th>new_deaths_smoothed</th>\n",
              "      <th>total_cases_per_million</th>\n",
              "      <th>new_cases_per_million</th>\n",
              "      <th>new_cases_smoothed_per_million</th>\n",
              "      <th>total_deaths_per_million</th>\n",
              "      <th>new_deaths_per_million</th>\n",
              "      <th>new_deaths_smoothed_per_million</th>\n",
              "      <th>reproduction_rate</th>\n",
              "      <th>icu_patients</th>\n",
              "      <th>icu_patients_per_million</th>\n",
              "      <th>hosp_patients</th>\n",
              "      <th>hosp_patients_per_million</th>\n",
              "      <th>weekly_icu_admissions</th>\n",
              "      <th>weekly_icu_admissions_per_million</th>\n",
              "      <th>weekly_hosp_admissions</th>\n",
              "      <th>weekly_hosp_admissions_per_million</th>\n",
              "      <th>new_tests</th>\n",
              "      <th>total_tests</th>\n",
              "      <th>total_tests_per_thousand</th>\n",
              "      <th>new_tests_per_thousand</th>\n",
              "      <th>new_tests_smoothed</th>\n",
              "      <th>new_tests_smoothed_per_thousand</th>\n",
              "      <th>positive_rate</th>\n",
              "      <th>tests_per_case</th>\n",
              "      <th>tests_units</th>\n",
              "      <th>total_vaccinations</th>\n",
              "      <th>people_vaccinated</th>\n",
              "      <th>people_fully_vaccinated</th>\n",
              "      <th>total_boosters</th>\n",
              "      <th>new_vaccinations</th>\n",
              "      <th>new_vaccinations_smoothed</th>\n",
              "      <th>total_vaccinations_per_hundred</th>\n",
              "      <th>people_vaccinated_per_hundred</th>\n",
              "      <th>people_fully_vaccinated_per_hundred</th>\n",
              "      <th>total_boosters_per_hundred</th>\n",
              "      <th>new_vaccinations_smoothed_per_million</th>\n",
              "      <th>new_people_vaccinated_smoothed</th>\n",
              "      <th>new_people_vaccinated_smoothed_per_hundred</th>\n",
              "      <th>stringency_index</th>\n",
              "      <th>population</th>\n",
              "      <th>population_density</th>\n",
              "      <th>median_age</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>cardiovasc_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_thousand</th>\n",
              "      <th>life_expectancy</th>\n",
              "      <th>human_development_index</th>\n",
              "      <th>excess_mortality_cumulative_absolute</th>\n",
              "      <th>excess_mortality_cumulative</th>\n",
              "      <th>excess_mortality</th>\n",
              "      <th>excess_mortality_cumulative_per_million</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>656</th>\n",
              "      <td>AFG</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>157858.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>61.000</td>\n",
              "      <td>7325.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.857</td>\n",
              "      <td>3962.754</td>\n",
              "      <td>0.000</td>\n",
              "      <td>1.531</td>\n",
              "      <td>183.882</td>\n",
              "      <td>0.075</td>\n",
              "      <td>0.047</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.983543e+07</td>\n",
              "      <td>54.422</td>\n",
              "      <td>18.6</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",
              "      <td>64.83</td>\n",
              "      <td>0.511</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1324</th>\n",
              "      <td>OWID_AFR</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Africa</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>8896226.0</td>\n",
              "      <td>32924.0</td>\n",
              "      <td>24587.571</td>\n",
              "      <td>224299.0</td>\n",
              "      <td>154.0</td>\n",
              "      <td>127.000</td>\n",
              "      <td>6477.112</td>\n",
              "      <td>23.971</td>\n",
              "      <td>17.902</td>\n",
              "      <td>163.306</td>\n",
              "      <td>0.112</td>\n",
              "      <td>0.092</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.638935e+08</td>\n",
              "      <td>1.686220e+08</td>\n",
              "      <td>1.092038e+08</td>\n",
              "      <td>593495.0</td>\n",
              "      <td>41356.0</td>\n",
              "      <td>1736509.0</td>\n",
              "      <td>19.21</td>\n",
              "      <td>12.28</td>\n",
              "      <td>7.95</td>\n",
              "      <td>0.04</td>\n",
              "      <td>1264.0</td>\n",
              "      <td>1558061.0</td>\n",
              "      <td>0.113</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.373486e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980</th>\n",
              "      <td>ALB</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Albania</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>203524.0</td>\n",
              "      <td>309.0</td>\n",
              "      <td>303.143</td>\n",
              "      <td>3132.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.286</td>\n",
              "      <td>70841.864</td>\n",
              "      <td>107.556</td>\n",
              "      <td>105.517</td>\n",
              "      <td>1090.175</td>\n",
              "      <td>0.696</td>\n",
              "      <td>1.144</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.872934e+06</td>\n",
              "      <td>104.871</td>\n",
              "      <td>38.0</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",
              "      <td>78.57</td>\n",
              "      <td>0.795</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2636</th>\n",
              "      <td>DZA</td>\n",
              "      <td>Africa</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>212652.0</td>\n",
              "      <td>218.0</td>\n",
              "      <td>193.571</td>\n",
              "      <td>6137.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.857</td>\n",
              "      <td>4766.205</td>\n",
              "      <td>4.886</td>\n",
              "      <td>4.339</td>\n",
              "      <td>137.550</td>\n",
              "      <td>0.112</td>\n",
              "      <td>0.131</td>\n",
              "      <td>NaN</td>\n",
              "      <td>24.0</td>\n",
              "      <td>0.538</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.461663e+07</td>\n",
              "      <td>17.348</td>\n",
              "      <td>29.1</td>\n",
              "      <td>6.211</td>\n",
              "      <td>3.857</td>\n",
              "      <td>13913.839</td>\n",
              "      <td>0.5</td>\n",
              "      <td>278.364</td>\n",
              "      <td>6.73</td>\n",
              "      <td>0.700</td>\n",
              "      <td>30.400</td>\n",
              "      <td>83.741</td>\n",
              "      <td>1.900</td>\n",
              "      <td>76.88</td>\n",
              "      <td>0.748</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3286</th>\n",
              "      <td>AND</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Andorra</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>19440.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>204.286</td>\n",
              "      <td>133.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.143</td>\n",
              "      <td>251312.149</td>\n",
              "      <td>0.000</td>\n",
              "      <td>2640.920</td>\n",
              "      <td>1719.368</td>\n",
              "      <td>0.000</td>\n",
              "      <td>1.847</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.735400e+04</td>\n",
              "      <td>163.755</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>109.135</td>\n",
              "      <td>7.97</td>\n",
              "      <td>29.000</td>\n",
              "      <td>37.800</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>83.73</td>\n",
              "      <td>0.868</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</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",
              "      <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",
              "      <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",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>136814</th>\n",
              "      <td>WLF</td>\n",
              "      <td>Oceania</td>\n",
              "      <td>Wallis and Futuna</td>\n",
              "      <td>2021-11-30</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.193900e+04</td>\n",
              "      <td>6.016000e+03</td>\n",
              "      <td>5.923000e+03</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.0</td>\n",
              "      <td>107.62</td>\n",
              "      <td>54.23</td>\n",
              "      <td>53.39</td>\n",
              "      <td>NaN</td>\n",
              "      <td>361.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.018</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.109400e+04</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>79.94</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>137504</th>\n",
              "      <td>OWID_WRL</td>\n",
              "      <td>NaN</td>\n",
              "      <td>World</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>269736004.0</td>\n",
              "      <td>540705.0</td>\n",
              "      <td>613476.143</td>\n",
              "      <td>5301714.0</td>\n",
              "      <td>5808.0</td>\n",
              "      <td>7552.143</td>\n",
              "      <td>34252.340</td>\n",
              "      <td>68.661</td>\n",
              "      <td>77.902</td>\n",
              "      <td>673.236</td>\n",
              "      <td>0.738</td>\n",
              "      <td>0.959</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.447075e+09</td>\n",
              "      <td>4.408091e+09</td>\n",
              "      <td>3.625389e+09</td>\n",
              "      <td>363605249.0</td>\n",
              "      <td>36090102.0</td>\n",
              "      <td>34878261.0</td>\n",
              "      <td>107.26</td>\n",
              "      <td>55.98</td>\n",
              "      <td>46.04</td>\n",
              "      <td>4.62</td>\n",
              "      <td>4429.0</td>\n",
              "      <td>10738904.0</td>\n",
              "      <td>0.136</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.874966e+09</td>\n",
              "      <td>58.045</td>\n",
              "      <td>30.9</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",
              "      <td>72.58</td>\n",
              "      <td>0.737</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>138115</th>\n",
              "      <td>YEM</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Yemen</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>10063.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>6.000</td>\n",
              "      <td>1968.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2.143</td>\n",
              "      <td>330.036</td>\n",
              "      <td>0.230</td>\n",
              "      <td>0.197</td>\n",
              "      <td>64.544</td>\n",
              "      <td>0.197</td>\n",
              "      <td>0.070</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.049064e+07</td>\n",
              "      <td>53.508</td>\n",
              "      <td>20.3</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",
              "      <td>66.12</td>\n",
              "      <td>0.470</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>138749</th>\n",
              "      <td>ZMB</td>\n",
              "      <td>Africa</td>\n",
              "      <td>Zambia</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>210959.0</td>\n",
              "      <td>235.0</td>\n",
              "      <td>95.000</td>\n",
              "      <td>3669.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.286</td>\n",
              "      <td>11149.666</td>\n",
              "      <td>12.420</td>\n",
              "      <td>5.021</td>\n",
              "      <td>193.915</td>\n",
              "      <td>0.053</td>\n",
              "      <td>0.015</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.242193e+06</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.215360e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>14855.0</td>\n",
              "      <td>6.57</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.34</td>\n",
              "      <td>NaN</td>\n",
              "      <td>785.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.892066e+07</td>\n",
              "      <td>22.995</td>\n",
              "      <td>17.7</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",
              "      <td>63.89</td>\n",
              "      <td>0.584</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>139381</th>\n",
              "      <td>ZWE</td>\n",
              "      <td>Africa</td>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>165002.0</td>\n",
              "      <td>9185.0</td>\n",
              "      <td>3782.714</td>\n",
              "      <td>4735.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>3.714</td>\n",
              "      <td>10932.953</td>\n",
              "      <td>608.594</td>\n",
              "      <td>250.641</td>\n",
              "      <td>313.739</td>\n",
              "      <td>0.795</td>\n",
              "      <td>0.246</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.509217e+07</td>\n",
              "      <td>42.729</td>\n",
              "      <td>19.6</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",
              "      <td>61.49</td>\n",
              "      <td>0.571</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>237 rows × 67 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        iso_code  ... excess_mortality_cumulative_per_million\n",
              "656          AFG  ...                                     NaN\n",
              "1324    OWID_AFR  ...                                     NaN\n",
              "1980         ALB  ...                                     NaN\n",
              "2636         DZA  ...                                     NaN\n",
              "3286         AND  ...                                     NaN\n",
              "...          ...  ...                                     ...\n",
              "136814       WLF  ...                                     NaN\n",
              "137504  OWID_WRL  ...                                     NaN\n",
              "138115       YEM  ...                                     NaN\n",
              "138749       ZMB  ...                                     NaN\n",
              "139381       ZWE  ...                                     NaN\n",
              "\n",
              "[237 rows x 67 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Dropping countries that are missing values in total_deaths_per_million and total_vaccinations_per_hundred\n",
        "All_countries_Recent_df=All_countries_Recent_df.dropna(subset=['total_deaths_per_million','total_vaccinations_per_hundred'])\n",
        "All_countries_Recent_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "0WDWfBEWL_ti",
        "outputId": "199702f9-9d16-46a7-899c-c2119ccafc9d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    .dataframe tbody tr th:only-of-type {\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>continent</th>\n",
              "      <th>location</th>\n",
              "      <th>date</th>\n",
              "      <th>total_cases</th>\n",
              "      <th>new_cases</th>\n",
              "      <th>new_cases_smoothed</th>\n",
              "      <th>total_deaths</th>\n",
              "      <th>new_deaths</th>\n",
              "      <th>new_deaths_smoothed</th>\n",
              "      <th>total_cases_per_million</th>\n",
              "      <th>new_cases_per_million</th>\n",
              "      <th>new_cases_smoothed_per_million</th>\n",
              "      <th>total_deaths_per_million</th>\n",
              "      <th>new_deaths_per_million</th>\n",
              "      <th>new_deaths_smoothed_per_million</th>\n",
              "      <th>reproduction_rate</th>\n",
              "      <th>icu_patients</th>\n",
              "      <th>icu_patients_per_million</th>\n",
              "      <th>hosp_patients</th>\n",
              "      <th>hosp_patients_per_million</th>\n",
              "      <th>weekly_icu_admissions</th>\n",
              "      <th>weekly_icu_admissions_per_million</th>\n",
              "      <th>weekly_hosp_admissions</th>\n",
              "      <th>weekly_hosp_admissions_per_million</th>\n",
              "      <th>new_tests</th>\n",
              "      <th>total_tests</th>\n",
              "      <th>total_tests_per_thousand</th>\n",
              "      <th>new_tests_per_thousand</th>\n",
              "      <th>new_tests_smoothed</th>\n",
              "      <th>new_tests_smoothed_per_thousand</th>\n",
              "      <th>positive_rate</th>\n",
              "      <th>tests_per_case</th>\n",
              "      <th>tests_units</th>\n",
              "      <th>total_vaccinations</th>\n",
              "      <th>people_vaccinated</th>\n",
              "      <th>people_fully_vaccinated</th>\n",
              "      <th>total_boosters</th>\n",
              "      <th>new_vaccinations</th>\n",
              "      <th>new_vaccinations_smoothed</th>\n",
              "      <th>total_vaccinations_per_hundred</th>\n",
              "      <th>people_vaccinated_per_hundred</th>\n",
              "      <th>people_fully_vaccinated_per_hundred</th>\n",
              "      <th>total_boosters_per_hundred</th>\n",
              "      <th>new_vaccinations_smoothed_per_million</th>\n",
              "      <th>new_people_vaccinated_smoothed</th>\n",
              "      <th>new_people_vaccinated_smoothed_per_hundred</th>\n",
              "      <th>stringency_index</th>\n",
              "      <th>population</th>\n",
              "      <th>population_density</th>\n",
              "      <th>median_age</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>cardiovasc_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_thousand</th>\n",
              "      <th>life_expectancy</th>\n",
              "      <th>human_development_index</th>\n",
              "      <th>excess_mortality_cumulative_absolute</th>\n",
              "      <th>excess_mortality_cumulative</th>\n",
              "      <th>excess_mortality</th>\n",
              "      <th>excess_mortality_cumulative_per_million</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1324</th>\n",
              "      <td>OWID_AFR</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Africa</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>8896226.0</td>\n",
              "      <td>32924.0</td>\n",
              "      <td>24587.571</td>\n",
              "      <td>224299.0</td>\n",
              "      <td>154.0</td>\n",
              "      <td>127.000</td>\n",
              "      <td>6477.112</td>\n",
              "      <td>23.971</td>\n",
              "      <td>17.902</td>\n",
              "      <td>163.306</td>\n",
              "      <td>0.112</td>\n",
              "      <td>0.092</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.638935e+08</td>\n",
              "      <td>1.686220e+08</td>\n",
              "      <td>1.092038e+08</td>\n",
              "      <td>593495.0</td>\n",
              "      <td>41356.0</td>\n",
              "      <td>1736509.0</td>\n",
              "      <td>19.21</td>\n",
              "      <td>12.28</td>\n",
              "      <td>7.95</td>\n",
              "      <td>0.04</td>\n",
              "      <td>1264.0</td>\n",
              "      <td>1558061.0</td>\n",
              "      <td>0.113</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.373486e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5576</th>\n",
              "      <td>ARG</td>\n",
              "      <td>South America</td>\n",
              "      <td>Argentina</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>5356885.0</td>\n",
              "      <td>2445.0</td>\n",
              "      <td>2500.429</td>\n",
              "      <td>116760.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>16.714</td>\n",
              "      <td>117460.549</td>\n",
              "      <td>53.612</td>\n",
              "      <td>54.827</td>\n",
              "      <td>2560.199</td>\n",
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              "      <td>0.366</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.139786e+07</td>\n",
              "      <td>3.729704e+07</td>\n",
              "      <td>3.094172e+07</td>\n",
              "      <td>3008895.0</td>\n",
              "      <td>178611.0</td>\n",
              "      <td>231012.0</td>\n",
              "      <td>156.55</td>\n",
              "      <td>81.78</td>\n",
              "      <td>67.85</td>\n",
              "      <td>6.60</td>\n",
              "      <td>5065.0</td>\n",
              "      <td>46571.0</td>\n",
              "      <td>0.102</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.560582e+07</td>\n",
              "      <td>16.177</td>\n",
              "      <td>31.9</td>\n",
              "      <td>11.198</td>\n",
              "      <td>7.441</td>\n",
              "      <td>18933.907</td>\n",
              "      <td>0.6</td>\n",
              "      <td>191.032</td>\n",
              "      <td>5.50</td>\n",
              "      <td>16.200</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>5.000</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7174</th>\n",
              "      <td>OWID_ASI</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Asia</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>83019014.0</td>\n",
              "      <td>77042.0</td>\n",
              "      <td>82521.000</td>\n",
              "      <td>1236106.0</td>\n",
              "      <td>1482.0</td>\n",
              "      <td>1701.143</td>\n",
              "      <td>17745.002</td>\n",
              "      <td>16.467</td>\n",
              "      <td>17.639</td>\n",
              "      <td>264.213</td>\n",
              "      <td>0.317</td>\n",
              "      <td>0.364</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.735200e+09</td>\n",
              "      <td>3.015724e+09</td>\n",
              "      <td>2.450272e+09</td>\n",
              "      <td>163176747.0</td>\n",
              "      <td>31261868.0</td>\n",
              "      <td>25755972.0</td>\n",
              "      <td>122.59</td>\n",
              "      <td>64.46</td>\n",
              "      <td>52.37</td>\n",
              "      <td>3.49</td>\n",
              "      <td>5505.0</td>\n",
              "      <td>7206011.0</td>\n",
              "      <td>0.154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.678445e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7860</th>\n",
              "      <td>AUS</td>\n",
              "      <td>Oceania</td>\n",
              "      <td>Australia</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>228925.0</td>\n",
              "      <td>1543.0</td>\n",
              "      <td>1584.143</td>\n",
              "      <td>2104.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.714</td>\n",
              "      <td>8877.116</td>\n",
              "      <td>59.834</td>\n",
              "      <td>61.429</td>\n",
              "      <td>81.588</td>\n",
              "      <td>0.155</td>\n",
              "      <td>0.299</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.015476e+07</td>\n",
              "      <td>2.020528e+07</td>\n",
              "      <td>1.926242e+07</td>\n",
              "      <td>687067.0</td>\n",
              "      <td>49260.0</td>\n",
              "      <td>76137.0</td>\n",
              "      <td>155.71</td>\n",
              "      <td>78.35</td>\n",
              "      <td>74.69</td>\n",
              "      <td>2.66</td>\n",
              "      <td>2952.0</td>\n",
              "      <td>15112.0</td>\n",
              "      <td>0.059</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.578822e+07</td>\n",
              "      <td>3.202</td>\n",
              "      <td>37.9</td>\n",
              "      <td>15.504</td>\n",
              "      <td>10.129</td>\n",
              "      <td>44648.710</td>\n",
              "      <td>0.5</td>\n",
              "      <td>107.791</td>\n",
              "      <td>5.07</td>\n",
              "      <td>13.000</td>\n",
              "      <td>16.500</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.840</td>\n",
              "      <td>83.44</td>\n",
              "      <td>0.944</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8516</th>\n",
              "      <td>AUT</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Austria</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>1225555.0</td>\n",
              "      <td>4460.0</td>\n",
              "      <td>4609.857</td>\n",
              "      <td>13143.0</td>\n",
              "      <td>67.0</td>\n",
              "      <td>55.714</td>\n",
              "      <td>135524.189</td>\n",
              "      <td>493.195</td>\n",
              "      <td>509.767</td>\n",
              "      <td>1453.378</td>\n",
              "      <td>7.409</td>\n",
              "      <td>6.161</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.514105e+07</td>\n",
              "      <td>6.469342e+06</td>\n",
              "      <td>6.173828e+06</td>\n",
              "      <td>2838319.0</td>\n",
              "      <td>78315.0</td>\n",
              "      <td>93062.0</td>\n",
              "      <td>167.43</td>\n",
              "      <td>71.54</td>\n",
              "      <td>68.27</td>\n",
              "      <td>31.39</td>\n",
              "      <td>10291.0</td>\n",
              "      <td>8779.0</td>\n",
              "      <td>0.097</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9.043072e+06</td>\n",
              "      <td>106.749</td>\n",
              "      <td>44.4</td>\n",
              "      <td>19.202</td>\n",
              "      <td>13.748</td>\n",
              "      <td>45436.686</td>\n",
              "      <td>0.7</td>\n",
              "      <td>145.183</td>\n",
              "      <td>6.35</td>\n",
              "      <td>28.400</td>\n",
              "      <td>30.900</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.370</td>\n",
              "      <td>81.54</td>\n",
              "      <td>0.922</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9167</th>\n",
              "      <td>AZE</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Azerbaijan</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>603254.0</td>\n",
              "      <td>1117.0</td>\n",
              "      <td>1180.000</td>\n",
              "      <td>8070.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>17.571</td>\n",
              "      <td>59007.503</td>\n",
              "      <td>109.260</td>\n",
              "      <td>115.422</td>\n",
              "      <td>789.370</td>\n",
              "      <td>1.467</td>\n",
              "      <td>1.719</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.086947e+07</td>\n",
              "      <td>5.117826e+06</td>\n",
              "      <td>4.613676e+06</td>\n",
              "      <td>1137970.0</td>\n",
              "      <td>31944.0</td>\n",
              "      <td>27689.0</td>\n",
              "      <td>106.32</td>\n",
              "      <td>50.06</td>\n",
              "      <td>45.13</td>\n",
              "      <td>11.13</td>\n",
              "      <td>2708.0</td>\n",
              "      <td>3186.0</td>\n",
              "      <td>0.031</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.022334e+07</td>\n",
              "      <td>119.309</td>\n",
              "      <td>32.4</td>\n",
              "      <td>6.018</td>\n",
              "      <td>3.871</td>\n",
              "      <td>15847.419</td>\n",
              "      <td>NaN</td>\n",
              "      <td>559.812</td>\n",
              "      <td>7.11</td>\n",
              "      <td>0.300</td>\n",
              "      <td>42.500</td>\n",
              "      <td>83.241</td>\n",
              "      <td>4.700</td>\n",
              "      <td>73.00</td>\n",
              "      <td>0.756</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10460</th>\n",
              "      <td>BHR</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Bahrain</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>278037.0</td>\n",
              "      <td>40.0</td>\n",
              "      <td>33.429</td>\n",
              "      <td>1394.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>159033.230</td>\n",
              "      <td>22.879</td>\n",
              "      <td>19.121</td>\n",
              "      <td>797.348</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.037016e+06</td>\n",
              "      <td>1.192600e+06</td>\n",
              "      <td>1.165232e+06</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5970.0</td>\n",
              "      <td>9563.0</td>\n",
              "      <td>173.71</td>\n",
              "      <td>68.22</td>\n",
              "      <td>66.65</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5470.0</td>\n",
              "      <td>379.0</td>\n",
              "      <td>0.022</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.748295e+06</td>\n",
              "      <td>1935.907</td>\n",
              "      <td>32.4</td>\n",
              "      <td>2.372</td>\n",
              "      <td>1.387</td>\n",
              "      <td>43290.705</td>\n",
              "      <td>NaN</td>\n",
              "      <td>151.689</td>\n",
              "      <td>16.52</td>\n",
              "      <td>5.800</td>\n",
              "      <td>37.600</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.000</td>\n",
              "      <td>77.29</td>\n",
              "      <td>0.852</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11109</th>\n",
              "      <td>BGD</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Bangladesh</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>1578996.0</td>\n",
              "      <td>177.0</td>\n",
              "      <td>275.143</td>\n",
              "      <td>28022.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.714</td>\n",
              "      <td>9494.665</td>\n",
              "      <td>1.064</td>\n",
              "      <td>1.654</td>\n",
              "      <td>168.499</td>\n",
              "      <td>0.030</td>\n",
              "      <td>0.028</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.278407e+08</td>\n",
              "      <td>8.577563e+07</td>\n",
              "      <td>4.206507e+07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>657255.0</td>\n",
              "      <td>3806050.0</td>\n",
              "      <td>76.87</td>\n",
              "      <td>51.58</td>\n",
              "      <td>25.29</td>\n",
              "      <td>NaN</td>\n",
              "      <td>22886.0</td>\n",
              "      <td>3162278.0</td>\n",
              "      <td>1.902</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.663035e+08</td>\n",
              "      <td>1265.036</td>\n",
              "      <td>27.5</td>\n",
              "      <td>5.098</td>\n",
              "      <td>3.262</td>\n",
              "      <td>3523.984</td>\n",
              "      <td>14.8</td>\n",
              "      <td>298.003</td>\n",
              "      <td>8.38</td>\n",
              "      <td>1.000</td>\n",
              "      <td>44.700</td>\n",
              "      <td>34.808</td>\n",
              "      <td>0.800</td>\n",
              "      <td>72.59</td>\n",
              "      <td>0.632</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18031</th>\n",
              "      <td>BRA</td>\n",
              "      <td>South America</td>\n",
              "      <td>Brazil</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>22177059.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5544.571</td>\n",
              "      <td>616457.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>126.714</td>\n",
              "      <td>103634.293</td>\n",
              "      <td>0.000</td>\n",
              "      <td>25.910</td>\n",
              "      <td>2880.728</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.592</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.199801e+08</td>\n",
              "      <td>1.650802e+08</td>\n",
              "      <td>1.393895e+08</td>\n",
              "      <td>20456996.0</td>\n",
              "      <td>241022.0</td>\n",
              "      <td>789905.0</td>\n",
              "      <td>149.53</td>\n",
              "      <td>77.14</td>\n",
              "      <td>65.14</td>\n",
              "      <td>9.56</td>\n",
              "      <td>3691.0</td>\n",
              "      <td>76661.0</td>\n",
              "      <td>0.036</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.139934e+08</td>\n",
              "      <td>25.040</td>\n",
              "      <td>33.5</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",
              "      <td>75.88</td>\n",
              "      <td>0.765</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19515</th>\n",
              "      <td>BGR</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Bulgaria</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>714156.0</td>\n",
              "      <td>1073.0</td>\n",
              "      <td>1671.714</td>\n",
              "      <td>29486.0</td>\n",
              "      <td>27.0</td>\n",
              "      <td>97.286</td>\n",
              "      <td>103551.069</td>\n",
              "      <td>155.583</td>\n",
              "      <td>242.395</td>\n",
              "      <td>4275.406</td>\n",
              "      <td>3.915</td>\n",
              "      <td>14.106</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.490637e+06</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.838105e+06</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5987.0</td>\n",
              "      <td>13420.0</td>\n",
              "      <td>50.61</td>\n",
              "      <td>NaN</td>\n",
              "      <td>26.65</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1946.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.896655e+06</td>\n",
              "      <td>65.180</td>\n",
              "      <td>44.7</td>\n",
              "      <td>20.801</td>\n",
              "      <td>13.272</td>\n",
              "      <td>18563.307</td>\n",
              "      <td>1.5</td>\n",
              "      <td>424.688</td>\n",
              "      <td>5.81</td>\n",
              "      <td>30.100</td>\n",
              "      <td>44.400</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.454</td>\n",
              "      <td>75.05</td>\n",
              "      <td>0.816</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22795</th>\n",
              "      <td>CAN</td>\n",
              "      <td>North America</td>\n",
              "      <td>Canada</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>1839770.0</td>\n",
              "      <td>5201.0</td>\n",
              "      <td>3780.857</td>\n",
              "      <td>29963.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>20.571</td>\n",
              "      <td>48328.628</td>\n",
              "      <td>136.624</td>\n",
              "      <td>99.319</td>\n",
              "      <td>787.093</td>\n",
              "      <td>0.263</td>\n",
              "      <td>0.540</td>\n",
              "      <td>NaN</td>\n",
              "      <td>434.0</td>\n",
              "      <td>11.401</td>\n",
              "      <td>1460.0</td>\n",
              "      <td>38.353</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.303136e+07</td>\n",
              "      <td>3.108713e+07</td>\n",
              "      <td>2.918955e+07</td>\n",
              "      <td>2754681.0</td>\n",
              "      <td>126305.0</td>\n",
              "      <td>166990.0</td>\n",
              "      <td>165.58</td>\n",
              "      <td>81.66</td>\n",
              "      <td>76.68</td>\n",
              "      <td>7.24</td>\n",
              "      <td>4387.0</td>\n",
              "      <td>57878.0</td>\n",
              "      <td>0.152</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.806791e+07</td>\n",
              "      <td>4.037</td>\n",
              "      <td>41.4</td>\n",
              "      <td>16.984</td>\n",
              "      <td>10.797</td>\n",
              "      <td>44017.591</td>\n",
              "      <td>0.5</td>\n",
              "      <td>105.599</td>\n",
              "      <td>7.37</td>\n",
              "      <td>12.000</td>\n",
              "      <td>16.600</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.500</td>\n",
              "      <td>82.43</td>\n",
              "      <td>0.929</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26388</th>\n",
              "      <td>CHN</td>\n",
              "      <td>Asia</td>\n",
              "      <td>China</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>99756.0</td>\n",
              "      <td>75.0</td>\n",
              "      <td>76.714</td>\n",
              "      <td>4636.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>69.073</td>\n",
              "      <td>0.052</td>\n",
              "      <td>0.053</td>\n",
              "      <td>3.210</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.602703e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>10824000.0</td>\n",
              "      <td>8468429.0</td>\n",
              "      <td>180.22</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5864.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.444216e+09</td>\n",
              "      <td>147.674</td>\n",
              "      <td>38.7</td>\n",
              "      <td>10.641</td>\n",
              "      <td>5.929</td>\n",
              "      <td>15308.712</td>\n",
              "      <td>0.7</td>\n",
              "      <td>261.899</td>\n",
              "      <td>9.74</td>\n",
              "      <td>1.900</td>\n",
              "      <td>48.400</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.340</td>\n",
              "      <td>76.91</td>\n",
              "      <td>0.761</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30373</th>\n",
              "      <td>HRV</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Croatia</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>651863.0</td>\n",
              "      <td>3860.0</td>\n",
              "      <td>3374.571</td>\n",
              "      <td>11574.0</td>\n",
              "      <td>58.0</td>\n",
              "      <td>60.571</td>\n",
              "      <td>159705.482</td>\n",
              "      <td>945.694</td>\n",
              "      <td>826.765</td>\n",
              "      <td>2835.613</td>\n",
              "      <td>14.210</td>\n",
              "      <td>14.840</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.381704e+06</td>\n",
              "      <td>2.226748e+06</td>\n",
              "      <td>2.037511e+06</td>\n",
              "      <td>NaN</td>\n",
              "      <td>20467.0</td>\n",
              "      <td>19423.0</td>\n",
              "      <td>107.35</td>\n",
              "      <td>54.56</td>\n",
              "      <td>49.92</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4759.0</td>\n",
              "      <td>2822.0</td>\n",
              "      <td>0.069</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.081657e+06</td>\n",
              "      <td>73.726</td>\n",
              "      <td>44.0</td>\n",
              "      <td>19.724</td>\n",
              "      <td>13.053</td>\n",
              "      <td>22669.797</td>\n",
              "      <td>0.7</td>\n",
              "      <td>253.782</td>\n",
              "      <td>5.59</td>\n",
              "      <td>34.300</td>\n",
              "      <td>39.900</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.540</td>\n",
              "      <td>78.49</td>\n",
              "      <td>0.851</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32569</th>\n",
              "      <td>CZE</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Czechia</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>2325181.0</td>\n",
              "      <td>12445.0</td>\n",
              "      <td>13638.000</td>\n",
              "      <td>34377.0</td>\n",
              "      <td>135.0</td>\n",
              "      <td>114.429</td>\n",
              "      <td>216809.129</td>\n",
              "      <td>1160.421</td>\n",
              "      <td>1271.661</td>\n",
              "      <td>3205.448</td>\n",
              "      <td>12.588</td>\n",
              "      <td>10.670</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.436562e+07</td>\n",
              "      <td>6.737218e+06</td>\n",
              "      <td>6.482529e+06</td>\n",
              "      <td>1544748.0</td>\n",
              "      <td>31301.0</td>\n",
              "      <td>75036.0</td>\n",
              "      <td>133.95</td>\n",
              "      <td>62.82</td>\n",
              "      <td>60.45</td>\n",
              "      <td>14.40</td>\n",
              "      <td>6997.0</td>\n",
              "      <td>5754.0</td>\n",
              "      <td>0.054</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.072455e+07</td>\n",
              "      <td>137.176</td>\n",
              "      <td>43.3</td>\n",
              "      <td>19.027</td>\n",
              "      <td>11.580</td>\n",
              "      <td>32605.906</td>\n",
              "      <td>NaN</td>\n",
              "      <td>227.485</td>\n",
              "      <td>6.82</td>\n",
              "      <td>30.500</td>\n",
              "      <td>38.300</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.630</td>\n",
              "      <td>79.38</td>\n",
              "      <td>0.900</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39701</th>\n",
              "      <td>EST</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Estonia</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>227902.0</td>\n",
              "      <td>456.0</td>\n",
              "      <td>464.000</td>\n",
              "      <td>1848.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>4.714</td>\n",
              "      <td>171977.108</td>\n",
              "      <td>344.102</td>\n",
              "      <td>350.139</td>\n",
              "      <td>1394.519</td>\n",
              "      <td>2.264</td>\n",
              "      <td>3.557</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.496833e+06</td>\n",
              "      <td>8.338120e+05</td>\n",
              "      <td>8.013880e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>787.0</td>\n",
              "      <td>1418.0</td>\n",
              "      <td>112.95</td>\n",
              "      <td>62.92</td>\n",
              "      <td>60.47</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1070.0</td>\n",
              "      <td>466.0</td>\n",
              "      <td>0.035</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.325188e+06</td>\n",
              "      <td>31.033</td>\n",
              "      <td>42.7</td>\n",
              "      <td>19.452</td>\n",
              "      <td>13.491</td>\n",
              "      <td>29481.252</td>\n",
              "      <td>0.5</td>\n",
              "      <td>255.569</td>\n",
              "      <td>4.02</td>\n",
              "      <td>24.500</td>\n",
              "      <td>39.300</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.690</td>\n",
              "      <td>78.74</td>\n",
              "      <td>0.892</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41667</th>\n",
              "      <td>OWID_EUR</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Europe</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>78841264.0</td>\n",
              "      <td>358853.0</td>\n",
              "      <td>362167.714</td>\n",
              "      <td>1463305.0</td>\n",
              "      <td>3335.0</td>\n",
              "      <td>3848.000</td>\n",
              "      <td>105267.237</td>\n",
              "      <td>479.133</td>\n",
              "      <td>483.559</td>\n",
              "      <td>1953.775</td>\n",
              "      <td>4.453</td>\n",
              "      <td>5.138</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.005983e+09</td>\n",
              "      <td>4.773390e+08</td>\n",
              "      <td>4.449652e+08</td>\n",
              "      <td>104344936.0</td>\n",
              "      <td>2743586.0</td>\n",
              "      <td>4067926.0</td>\n",
              "      <td>134.32</td>\n",
              "      <td>63.73</td>\n",
              "      <td>59.41</td>\n",
              "      <td>13.93</td>\n",
              "      <td>5431.0</td>\n",
              "      <td>911110.0</td>\n",
              "      <td>0.122</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.489630e+08</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42356</th>\n",
              "      <td>OWID_EUN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>European Union</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>49646580.0</td>\n",
              "      <td>258060.0</td>\n",
              "      <td>252118.286</td>\n",
              "      <td>868200.0</td>\n",
              "      <td>1495.0</td>\n",
              "      <td>1987.429</td>\n",
              "      <td>111019.006</td>\n",
              "      <td>577.070</td>\n",
              "      <td>563.783</td>\n",
              "      <td>1941.457</td>\n",
              "      <td>3.343</td>\n",
              "      <td>4.444</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.766726e+08</td>\n",
              "      <td>3.194162e+08</td>\n",
              "      <td>3.040914e+08</td>\n",
              "      <td>72297085.0</td>\n",
              "      <td>1018492.0</td>\n",
              "      <td>2693829.0</td>\n",
              "      <td>151.32</td>\n",
              "      <td>71.43</td>\n",
              "      <td>68.00</td>\n",
              "      <td>16.17</td>\n",
              "      <td>6024.0</td>\n",
              "      <td>550356.0</td>\n",
              "      <td>0.123</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.471899e+08</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49307</th>\n",
              "      <td>GRC</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Greece</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>999652.0</td>\n",
              "      <td>4751.0</td>\n",
              "      <td>5279.571</td>\n",
              "      <td>19157.0</td>\n",
              "      <td>72.0</td>\n",
              "      <td>91.571</td>\n",
              "      <td>96391.514</td>\n",
              "      <td>458.116</td>\n",
              "      <td>509.083</td>\n",
              "      <td>1847.215</td>\n",
              "      <td>6.943</td>\n",
              "      <td>8.830</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.545353e+07</td>\n",
              "      <td>7.225914e+06</td>\n",
              "      <td>6.758054e+06</td>\n",
              "      <td>2196053.0</td>\n",
              "      <td>109496.0</td>\n",
              "      <td>108215.0</td>\n",
              "      <td>149.01</td>\n",
              "      <td>69.68</td>\n",
              "      <td>65.16</td>\n",
              "      <td>21.18</td>\n",
              "      <td>10435.0</td>\n",
              "      <td>16387.0</td>\n",
              "      <td>0.158</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.037075e+07</td>\n",
              "      <td>83.479</td>\n",
              "      <td>45.3</td>\n",
              "      <td>20.396</td>\n",
              "      <td>14.524</td>\n",
              "      <td>24574.382</td>\n",
              "      <td>1.5</td>\n",
              "      <td>175.695</td>\n",
              "      <td>4.55</td>\n",
              "      <td>35.300</td>\n",
              "      <td>52.000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.210</td>\n",
              "      <td>82.24</td>\n",
              "      <td>0.888</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>54466</th>\n",
              "      <td>OWID_HIC</td>\n",
              "      <td>NaN</td>\n",
              "      <td>High income</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>120208919.0</td>\n",
              "      <td>380209.0</td>\n",
              "      <td>449219.857</td>\n",
              "      <td>1871294.0</td>\n",
              "      <td>2107.0</td>\n",
              "      <td>3370.429</td>\n",
              "      <td>98943.064</td>\n",
              "      <td>312.947</td>\n",
              "      <td>369.750</td>\n",
              "      <td>1540.248</td>\n",
              "      <td>1.734</td>\n",
              "      <td>2.774</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.896527e+09</td>\n",
              "      <td>9.107750e+08</td>\n",
              "      <td>8.365613e+08</td>\n",
              "      <td>178147112.0</td>\n",
              "      <td>1349780.0</td>\n",
              "      <td>5110701.0</td>\n",
              "      <td>156.10</td>\n",
              "      <td>74.97</td>\n",
              "      <td>68.86</td>\n",
              "      <td>14.66</td>\n",
              "      <td>4207.0</td>\n",
              "      <td>646616.0</td>\n",
              "      <td>0.053</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.214930e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>55796</th>\n",
              "      <td>HKG</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Hong Kong</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>12483.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.429</td>\n",
              "      <td>213.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>1652.765</td>\n",
              "      <td>0.132</td>\n",
              "      <td>0.586</td>\n",
              "      <td>28.201</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9.634467e+06</td>\n",
              "      <td>4.806937e+06</td>\n",
              "      <td>4.575932e+06</td>\n",
              "      <td>NaN</td>\n",
              "      <td>19368.0</td>\n",
              "      <td>15592.0</td>\n",
              "      <td>127.56</td>\n",
              "      <td>63.64</td>\n",
              "      <td>60.59</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2064.0</td>\n",
              "      <td>4359.0</td>\n",
              "      <td>0.058</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.552800e+06</td>\n",
              "      <td>7039.714</td>\n",
              "      <td>44.8</td>\n",
              "      <td>16.303</td>\n",
              "      <td>10.158</td>\n",
              "      <td>56054.920</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.33</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>84.86</td>\n",
              "      <td>0.949</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57781</th>\n",
              "      <td>IND</td>\n",
              "      <td>Asia</td>\n",
              "      <td>India</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>34690510.0</td>\n",
              "      <td>7877.0</td>\n",
              "      <td>9450.000</td>\n",
              "      <td>475434.0</td>\n",
              "      <td>562.0</td>\n",
              "      <td>700.571</td>\n",
              "      <td>24896.143</td>\n",
              "      <td>5.653</td>\n",
              "      <td>6.782</td>\n",
              "      <td>341.202</td>\n",
              "      <td>0.403</td>\n",
              "      <td>0.503</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.327494e+09</td>\n",
              "      <td>8.153880e+08</td>\n",
              "      <td>5.121062e+08</td>\n",
              "      <td>NaN</td>\n",
              "      <td>15119160.0</td>\n",
              "      <td>7669715.0</td>\n",
              "      <td>95.27</td>\n",
              "      <td>58.52</td>\n",
              "      <td>36.75</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5504.0</td>\n",
              "      <td>2234639.0</td>\n",
              "      <td>0.160</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.393409e+09</td>\n",
              "      <td>450.419</td>\n",
              "      <td>28.2</td>\n",
              "      <td>5.989</td>\n",
              "      <td>3.414</td>\n",
              "      <td>6426.674</td>\n",
              "      <td>21.2</td>\n",
              "      <td>282.280</td>\n",
              "      <td>10.39</td>\n",
              "      <td>1.900</td>\n",
              "      <td>20.600</td>\n",
              "      <td>59.550</td>\n",
              "      <td>0.530</td>\n",
              "      <td>69.66</td>\n",
              "      <td>0.645</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58431</th>\n",
              "      <td>IDN</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Indonesia</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>4258980.0</td>\n",
              "      <td>228.0</td>\n",
              "      <td>213.000</td>\n",
              "      <td>143929.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>9.429</td>\n",
              "      <td>15410.886</td>\n",
              "      <td>0.825</td>\n",
              "      <td>0.771</td>\n",
              "      <td>520.799</td>\n",
              "      <td>0.022</td>\n",
              "      <td>0.034</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.493998e+08</td>\n",
              "      <td>1.464896e+08</td>\n",
              "      <td>1.029102e+08</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2519312.0</td>\n",
              "      <td>1136842.0</td>\n",
              "      <td>90.24</td>\n",
              "      <td>53.01</td>\n",
              "      <td>37.24</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4114.0</td>\n",
              "      <td>579613.0</td>\n",
              "      <td>0.210</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.763618e+08</td>\n",
              "      <td>145.725</td>\n",
              "      <td>29.3</td>\n",
              "      <td>5.319</td>\n",
              "      <td>3.053</td>\n",
              "      <td>11188.744</td>\n",
              "      <td>5.7</td>\n",
              "      <td>342.864</td>\n",
              "      <td>6.32</td>\n",
              "      <td>2.800</td>\n",
              "      <td>76.100</td>\n",
              "      <td>64.204</td>\n",
              "      <td>1.040</td>\n",
              "      <td>71.72</td>\n",
              "      <td>0.718</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62062</th>\n",
              "      <td>ISR</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Israel</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>1349741.0</td>\n",
              "      <td>356.0</td>\n",
              "      <td>614.143</td>\n",
              "      <td>8210.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.571</td>\n",
              "      <td>145274.029</td>\n",
              "      <td>38.317</td>\n",
              "      <td>66.101</td>\n",
              "      <td>883.651</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.169</td>\n",
              "      <td>NaN</td>\n",
              "      <td>59.0</td>\n",
              "      <td>6.350</td>\n",
              "      <td>150.0</td>\n",
              "      <td>16.145</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.631028e+07</td>\n",
              "      <td>6.400940e+06</td>\n",
              "      <td>5.789014e+06</td>\n",
              "      <td>4120329.0</td>\n",
              "      <td>2631.0</td>\n",
              "      <td>9586.0</td>\n",
              "      <td>175.55</td>\n",
              "      <td>68.89</td>\n",
              "      <td>62.31</td>\n",
              "      <td>44.35</td>\n",
              "      <td>1032.0</td>\n",
              "      <td>5189.0</td>\n",
              "      <td>0.056</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9.291000e+06</td>\n",
              "      <td>402.606</td>\n",
              "      <td>30.6</td>\n",
              "      <td>11.733</td>\n",
              "      <td>7.359</td>\n",
              "      <td>33132.320</td>\n",
              "      <td>0.5</td>\n",
              "      <td>93.320</td>\n",
              "      <td>6.74</td>\n",
              "      <td>15.400</td>\n",
              "      <td>35.400</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.990</td>\n",
              "      <td>82.97</td>\n",
              "      <td>0.919</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62743</th>\n",
              "      <td>ITA</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Italy</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>5206305.0</td>\n",
              "      <td>21035.0</td>\n",
              "      <td>16033.286</td>\n",
              "      <td>134765.0</td>\n",
              "      <td>96.0</td>\n",
              "      <td>87.571</td>\n",
              "      <td>86243.550</td>\n",
              "      <td>348.449</td>\n",
              "      <td>265.595</td>\n",
              "      <td>2232.411</td>\n",
              "      <td>1.590</td>\n",
              "      <td>1.451</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.017043e+08</td>\n",
              "      <td>4.760866e+07</td>\n",
              "      <td>4.428468e+07</td>\n",
              "      <td>11309329.0</td>\n",
              "      <td>478058.0</td>\n",
              "      <td>456936.0</td>\n",
              "      <td>168.48</td>\n",
              "      <td>78.86</td>\n",
              "      <td>73.36</td>\n",
              "      <td>18.73</td>\n",
              "      <td>7569.0</td>\n",
              "      <td>33839.0</td>\n",
              "      <td>0.056</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.036747e+07</td>\n",
              "      <td>205.859</td>\n",
              "      <td>47.9</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",
              "      <td>83.51</td>\n",
              "      <td>0.892</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>64990</th>\n",
              "      <td>JOR</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Jordan</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>1006136.0</td>\n",
              "      <td>2708.0</td>\n",
              "      <td>4962.143</td>\n",
              "      <td>11941.0</td>\n",
              "      <td>24.0</td>\n",
              "      <td>32.286</td>\n",
              "      <td>97977.782</td>\n",
              "      <td>263.706</td>\n",
              "      <td>483.215</td>\n",
              "      <td>1162.818</td>\n",
              "      <td>2.337</td>\n",
              "      <td>3.144</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.033715e+06</td>\n",
              "      <td>4.220599e+06</td>\n",
              "      <td>3.813116e+06</td>\n",
              "      <td>NaN</td>\n",
              "      <td>11219.0</td>\n",
              "      <td>14999.0</td>\n",
              "      <td>78.23</td>\n",
              "      <td>41.10</td>\n",
              "      <td>37.13</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1461.0</td>\n",
              "      <td>8642.0</td>\n",
              "      <td>0.084</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.026902e+07</td>\n",
              "      <td>109.285</td>\n",
              "      <td>23.2</td>\n",
              "      <td>3.810</td>\n",
              "      <td>2.361</td>\n",
              "      <td>8337.490</td>\n",
              "      <td>0.1</td>\n",
              "      <td>208.257</td>\n",
              "      <td>11.75</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.400</td>\n",
              "      <td>74.53</td>\n",
              "      <td>0.729</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>65629</th>\n",
              "      <td>KAZ</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Kazakhstan</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>1062833.0</td>\n",
              "      <td>554.0</td>\n",
              "      <td>675.429</td>\n",
              "      <td>18005.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>15.714</td>\n",
              "      <td>55953.427</td>\n",
              "      <td>29.166</td>\n",
              "      <td>35.558</td>\n",
              "      <td>947.883</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.827</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.712392e+07</td>\n",
              "      <td>8.846068e+06</td>\n",
              "      <td>8.277848e+06</td>\n",
              "      <td>NaN</td>\n",
              "      <td>28566.0</td>\n",
              "      <td>26672.0</td>\n",
              "      <td>90.15</td>\n",
              "      <td>46.57</td>\n",
              "      <td>43.58</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1404.0</td>\n",
              "      <td>10704.0</td>\n",
              "      <td>0.056</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.899496e+07</td>\n",
              "      <td>6.681</td>\n",
              "      <td>30.6</td>\n",
              "      <td>6.991</td>\n",
              "      <td>4.625</td>\n",
              "      <td>24055.588</td>\n",
              "      <td>0.1</td>\n",
              "      <td>466.792</td>\n",
              "      <td>7.11</td>\n",
              "      <td>7.000</td>\n",
              "      <td>43.100</td>\n",
              "      <td>98.999</td>\n",
              "      <td>6.700</td>\n",
              "      <td>73.60</td>\n",
              "      <td>0.825</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68412</th>\n",
              "      <td>KGZ</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Kyrgyzstan</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>183931.0</td>\n",
              "      <td>68.0</td>\n",
              "      <td>51.143</td>\n",
              "      <td>2768.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.571</td>\n",
              "      <td>27749.151</td>\n",
              "      <td>10.259</td>\n",
              "      <td>7.716</td>\n",
              "      <td>417.600</td>\n",
              "      <td>0.302</td>\n",
              "      <td>0.237</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.105537e+06</td>\n",
              "      <td>1.160863e+06</td>\n",
              "      <td>9.368140e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1595.0</td>\n",
              "      <td>7379.0</td>\n",
              "      <td>31.77</td>\n",
              "      <td>17.51</td>\n",
              "      <td>14.13</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1113.0</td>\n",
              "      <td>3498.0</td>\n",
              "      <td>0.053</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.628347e+06</td>\n",
              "      <td>32.333</td>\n",
              "      <td>26.3</td>\n",
              "      <td>4.489</td>\n",
              "      <td>2.882</td>\n",
              "      <td>3393.474</td>\n",
              "      <td>1.4</td>\n",
              "      <td>436.362</td>\n",
              "      <td>7.11</td>\n",
              "      <td>3.600</td>\n",
              "      <td>50.500</td>\n",
              "      <td>89.220</td>\n",
              "      <td>4.500</td>\n",
              "      <td>71.45</td>\n",
              "      <td>0.697</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>70355</th>\n",
              "      <td>LBN</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Lebanon</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>688515.0</td>\n",
              "      <td>1790.0</td>\n",
              "      <td>1624.000</td>\n",
              "      <td>8836.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>10.143</td>\n",
              "      <td>101713.642</td>\n",
              "      <td>264.435</td>\n",
              "      <td>239.912</td>\n",
              "      <td>1305.334</td>\n",
              "      <td>1.773</td>\n",
              "      <td>1.498</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.793028e+06</td>\n",
              "      <td>2.050765e+06</td>\n",
              "      <td>1.742263e+06</td>\n",
              "      <td>NaN</td>\n",
              "      <td>31733.0</td>\n",
              "      <td>19932.0</td>\n",
              "      <td>56.03</td>\n",
              "      <td>30.30</td>\n",
              "      <td>25.74</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2945.0</td>\n",
              "      <td>15076.0</td>\n",
              "      <td>0.223</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.769151e+06</td>\n",
              "      <td>594.561</td>\n",
              "      <td>31.1</td>\n",
              "      <td>8.514</td>\n",
              "      <td>5.430</td>\n",
              "      <td>13367.565</td>\n",
              "      <td>NaN</td>\n",
              "      <td>266.591</td>\n",
              "      <td>12.71</td>\n",
              "      <td>26.900</td>\n",
              "      <td>40.700</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.900</td>\n",
              "      <td>78.93</td>\n",
              "      <td>0.744</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>73516</th>\n",
              "      <td>LTU</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Lithuania</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>489673.0</td>\n",
              "      <td>1720.0</td>\n",
              "      <td>1622.714</td>\n",
              "      <td>6956.0</td>\n",
              "      <td>23.0</td>\n",
              "      <td>18.714</td>\n",
              "      <td>182043.912</td>\n",
              "      <td>639.438</td>\n",
              "      <td>603.270</td>\n",
              "      <td>2586.006</td>\n",
              "      <td>8.551</td>\n",
              "      <td>6.957</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.870603e+06</td>\n",
              "      <td>1.889820e+06</td>\n",
              "      <td>1.803809e+06</td>\n",
              "      <td>437584.0</td>\n",
              "      <td>4429.0</td>\n",
              "      <td>14474.0</td>\n",
              "      <td>143.90</td>\n",
              "      <td>70.26</td>\n",
              "      <td>67.06</td>\n",
              "      <td>16.27</td>\n",
              "      <td>5381.0</td>\n",
              "      <td>1605.0</td>\n",
              "      <td>0.060</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.689862e+06</td>\n",
              "      <td>45.135</td>\n",
              "      <td>43.5</td>\n",
              "      <td>19.002</td>\n",
              "      <td>13.778</td>\n",
              "      <td>29524.265</td>\n",
              "      <td>0.7</td>\n",
              "      <td>342.989</td>\n",
              "      <td>3.67</td>\n",
              "      <td>21.300</td>\n",
              "      <td>38.000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.560</td>\n",
              "      <td>75.93</td>\n",
              "      <td>0.882</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>74864</th>\n",
              "      <td>OWID_LMC</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lower middle income</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>64278350.0</td>\n",
              "      <td>55947.0</td>\n",
              "      <td>49531.286</td>\n",
              "      <td>1172773.0</td>\n",
              "      <td>1625.0</td>\n",
              "      <td>1719.000</td>\n",
              "      <td>19299.026</td>\n",
              "      <td>16.798</td>\n",
              "      <td>14.871</td>\n",
              "      <td>352.115</td>\n",
              "      <td>0.488</td>\n",
              "      <td>0.516</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.573435e+09</td>\n",
              "      <td>1.532543e+09</td>\n",
              "      <td>1.023616e+09</td>\n",
              "      <td>7783945.0</td>\n",
              "      <td>18536913.0</td>\n",
              "      <td>16867659.0</td>\n",
              "      <td>77.27</td>\n",
              "      <td>46.01</td>\n",
              "      <td>30.73</td>\n",
              "      <td>0.23</td>\n",
              "      <td>5064.0</td>\n",
              "      <td>7655027.0</td>\n",
              "      <td>0.230</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.330653e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82082</th>\n",
              "      <td>MEX</td>\n",
              "      <td>North America</td>\n",
              "      <td>Mexico</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>3914706.0</td>\n",
              "      <td>2992.0</td>\n",
              "      <td>2464.857</td>\n",
              "      <td>296385.0</td>\n",
              "      <td>197.0</td>\n",
              "      <td>211.571</td>\n",
              "      <td>30052.505</td>\n",
              "      <td>22.969</td>\n",
              "      <td>18.922</td>\n",
              "      <td>2275.295</td>\n",
              "      <td>1.512</td>\n",
              "      <td>1.624</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.368291e+08</td>\n",
              "      <td>8.019198e+07</td>\n",
              "      <td>6.600338e+07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>404312.0</td>\n",
              "      <td>105.04</td>\n",
              "      <td>61.56</td>\n",
              "      <td>50.67</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3104.0</td>\n",
              "      <td>317718.0</td>\n",
              "      <td>0.244</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.302622e+08</td>\n",
              "      <td>66.444</td>\n",
              "      <td>29.3</td>\n",
              "      <td>6.857</td>\n",
              "      <td>4.321</td>\n",
              "      <td>17336.469</td>\n",
              "      <td>2.5</td>\n",
              "      <td>152.783</td>\n",
              "      <td>13.06</td>\n",
              "      <td>6.900</td>\n",
              "      <td>21.400</td>\n",
              "      <td>87.847</td>\n",
              "      <td>1.380</td>\n",
              "      <td>75.05</td>\n",
              "      <td>0.779</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83051</th>\n",
              "      <td>MDA</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Moldova</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>369402.0</td>\n",
              "      <td>389.0</td>\n",
              "      <td>462.857</td>\n",
              "      <td>9354.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>20.857</td>\n",
              "      <td>91799.131</td>\n",
              "      <td>96.669</td>\n",
              "      <td>115.023</td>\n",
              "      <td>2324.538</td>\n",
              "      <td>5.219</td>\n",
              "      <td>5.183</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.680897e+06</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9.560100e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4785.0</td>\n",
              "      <td>5206.0</td>\n",
              "      <td>41.77</td>\n",
              "      <td>NaN</td>\n",
              "      <td>23.76</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1294.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.024025e+06</td>\n",
              "      <td>123.655</td>\n",
              "      <td>37.6</td>\n",
              "      <td>10.864</td>\n",
              "      <td>6.955</td>\n",
              "      <td>5189.972</td>\n",
              "      <td>0.2</td>\n",
              "      <td>408.502</td>\n",
              "      <td>5.72</td>\n",
              "      <td>5.900</td>\n",
              "      <td>44.600</td>\n",
              "      <td>86.979</td>\n",
              "      <td>5.800</td>\n",
              "      <td>71.90</td>\n",
              "      <td>0.750</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84345</th>\n",
              "      <td>MNG</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Mongolia</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>385353.0</td>\n",
              "      <td>441.0</td>\n",
              "      <td>258.571</td>\n",
              "      <td>2033.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.429</td>\n",
              "      <td>115746.578</td>\n",
              "      <td>132.461</td>\n",
              "      <td>77.666</td>\n",
              "      <td>610.642</td>\n",
              "      <td>1.502</td>\n",
              "      <td>0.729</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.418587e+06</td>\n",
              "      <td>2.262711e+06</td>\n",
              "      <td>2.155876e+06</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>556.0</td>\n",
              "      <td>132.72</td>\n",
              "      <td>67.96</td>\n",
              "      <td>64.75</td>\n",
              "      <td>NaN</td>\n",
              "      <td>167.0</td>\n",
              "      <td>178.0</td>\n",
              "      <td>0.005</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.329282e+06</td>\n",
              "      <td>1.980</td>\n",
              "      <td>28.6</td>\n",
              "      <td>4.031</td>\n",
              "      <td>2.421</td>\n",
              "      <td>11840.846</td>\n",
              "      <td>0.5</td>\n",
              "      <td>460.043</td>\n",
              "      <td>4.82</td>\n",
              "      <td>5.500</td>\n",
              "      <td>46.500</td>\n",
              "      <td>71.180</td>\n",
              "      <td>7.000</td>\n",
              "      <td>69.87</td>\n",
              "      <td>0.737</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84980</th>\n",
              "      <td>MNE</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Montenegro</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>159635.0</td>\n",
              "      <td>202.0</td>\n",
              "      <td>193.143</td>\n",
              "      <td>2349.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.571</td>\n",
              "      <td>254175.218</td>\n",
              "      <td>321.630</td>\n",
              "      <td>307.527</td>\n",
              "      <td>3740.142</td>\n",
              "      <td>3.184</td>\n",
              "      <td>5.687</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.430110e+05</td>\n",
              "      <td>2.796310e+05</td>\n",
              "      <td>2.633800e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1014.0</td>\n",
              "      <td>1036.0</td>\n",
              "      <td>86.46</td>\n",
              "      <td>44.52</td>\n",
              "      <td>41.94</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1650.0</td>\n",
              "      <td>396.0</td>\n",
              "      <td>0.063</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.280510e+05</td>\n",
              "      <td>46.280</td>\n",
              "      <td>39.1</td>\n",
              "      <td>14.762</td>\n",
              "      <td>9.395</td>\n",
              "      <td>16409.288</td>\n",
              "      <td>1.0</td>\n",
              "      <td>387.305</td>\n",
              "      <td>10.08</td>\n",
              "      <td>44.000</td>\n",
              "      <td>47.900</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.861</td>\n",
              "      <td>76.88</td>\n",
              "      <td>0.829</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90273</th>\n",
              "      <td>NZL</td>\n",
              "      <td>Oceania</td>\n",
              "      <td>New Zealand</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>12886.0</td>\n",
              "      <td>103.0</td>\n",
              "      <td>98.429</td>\n",
              "      <td>46.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.286</td>\n",
              "      <td>2515.519</td>\n",
              "      <td>20.107</td>\n",
              "      <td>19.215</td>\n",
              "      <td>8.980</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.056</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.871033e+06</td>\n",
              "      <td>3.948761e+06</td>\n",
              "      <td>3.747367e+06</td>\n",
              "      <td>174905.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>20612.0</td>\n",
              "      <td>153.65</td>\n",
              "      <td>77.09</td>\n",
              "      <td>73.15</td>\n",
              "      <td>3.41</td>\n",
              "      <td>4024.0</td>\n",
              "      <td>3513.0</td>\n",
              "      <td>0.069</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.122600e+06</td>\n",
              "      <td>18.206</td>\n",
              "      <td>37.9</td>\n",
              "      <td>15.322</td>\n",
              "      <td>9.720</td>\n",
              "      <td>36085.843</td>\n",
              "      <td>NaN</td>\n",
              "      <td>128.797</td>\n",
              "      <td>8.08</td>\n",
              "      <td>14.800</td>\n",
              "      <td>17.200</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.610</td>\n",
              "      <td>82.29</td>\n",
              "      <td>0.931</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>92924</th>\n",
              "      <td>OWID_NAM</td>\n",
              "      <td>NaN</td>\n",
              "      <td>North America</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>59515057.0</td>\n",
              "      <td>61277.0</td>\n",
              "      <td>127355.571</td>\n",
              "      <td>1189091.0</td>\n",
              "      <td>663.0</td>\n",
              "      <td>1540.000</td>\n",
              "      <td>99760.181</td>\n",
              "      <td>102.714</td>\n",
              "      <td>213.476</td>\n",
              "      <td>1993.175</td>\n",
              "      <td>1.111</td>\n",
              "      <td>2.581</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.791541e+08</td>\n",
              "      <td>3.967434e+08</td>\n",
              "      <td>3.332678e+08</td>\n",
              "      <td>58220519.0</td>\n",
              "      <td>1490184.0</td>\n",
              "      <td>1872641.0</td>\n",
              "      <td>130.60</td>\n",
              "      <td>66.50</td>\n",
              "      <td>55.86</td>\n",
              "      <td>9.76</td>\n",
              "      <td>3139.0</td>\n",
              "      <td>771414.0</td>\n",
              "      <td>0.129</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.965813e+08</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>95238</th>\n",
              "      <td>OWID_OCE</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Oceania</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>330268.0</td>\n",
              "      <td>1646.0</td>\n",
              "      <td>1751.000</td>\n",
              "      <td>3421.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>11.286</td>\n",
              "      <td>7641.563</td>\n",
              "      <td>38.084</td>\n",
              "      <td>40.514</td>\n",
              "      <td>79.153</td>\n",
              "      <td>0.093</td>\n",
              "      <td>0.261</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.127872e+07</td>\n",
              "      <td>2.599040e+07</td>\n",
              "      <td>2.442635e+07</td>\n",
              "      <td>861972.0</td>\n",
              "      <td>132328.0</td>\n",
              "      <td>100345.0</td>\n",
              "      <td>118.65</td>\n",
              "      <td>60.14</td>\n",
              "      <td>56.52</td>\n",
              "      <td>1.99</td>\n",
              "      <td>2322.0</td>\n",
              "      <td>20563.0</td>\n",
              "      <td>0.048</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.321995e+07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>97953</th>\n",
              "      <td>PAN</td>\n",
              "      <td>North America</td>\n",
              "      <td>Panama</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>480573.0</td>\n",
              "      <td>356.0</td>\n",
              "      <td>290.000</td>\n",
              "      <td>7386.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.143</td>\n",
              "      <td>109680.223</td>\n",
              "      <td>81.249</td>\n",
              "      <td>66.186</td>\n",
              "      <td>1685.692</td>\n",
              "      <td>0.228</td>\n",
              "      <td>0.489</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.684345e+06</td>\n",
              "      <td>3.015642e+06</td>\n",
              "      <td>2.445146e+06</td>\n",
              "      <td>223557.0</td>\n",
              "      <td>14009.0</td>\n",
              "      <td>5904.0</td>\n",
              "      <td>129.73</td>\n",
              "      <td>68.83</td>\n",
              "      <td>55.81</td>\n",
              "      <td>5.10</td>\n",
              "      <td>1347.0</td>\n",
              "      <td>688.0</td>\n",
              "      <td>0.016</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.381583e+06</td>\n",
              "      <td>55.133</td>\n",
              "      <td>29.7</td>\n",
              "      <td>7.918</td>\n",
              "      <td>5.030</td>\n",
              "      <td>22267.037</td>\n",
              "      <td>2.2</td>\n",
              "      <td>128.346</td>\n",
              "      <td>8.33</td>\n",
              "      <td>2.400</td>\n",
              "      <td>9.900</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.300</td>\n",
              "      <td>78.51</td>\n",
              "      <td>0.815</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>101356</th>\n",
              "      <td>POL</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Poland</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>3808798.0</td>\n",
              "      <td>23762.0</td>\n",
              "      <td>22824.429</td>\n",
              "      <td>88414.0</td>\n",
              "      <td>486.0</td>\n",
              "      <td>397.714</td>\n",
              "      <td>100769.849</td>\n",
              "      <td>628.674</td>\n",
              "      <td>603.869</td>\n",
              "      <td>2339.180</td>\n",
              "      <td>12.858</td>\n",
              "      <td>10.522</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.420003e+07</td>\n",
              "      <td>2.117147e+07</td>\n",
              "      <td>2.068521e+07</td>\n",
              "      <td>4858716.0</td>\n",
              "      <td>184524.0</td>\n",
              "      <td>218164.0</td>\n",
              "      <td>116.94</td>\n",
              "      <td>56.01</td>\n",
              "      <td>54.73</td>\n",
              "      <td>12.85</td>\n",
              "      <td>5772.0</td>\n",
              "      <td>28991.0</td>\n",
              "      <td>0.077</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.779700e+07</td>\n",
              "      <td>124.027</td>\n",
              "      <td>41.8</td>\n",
              "      <td>16.763</td>\n",
              "      <td>10.202</td>\n",
              "      <td>27216.445</td>\n",
              "      <td>NaN</td>\n",
              "      <td>227.331</td>\n",
              "      <td>5.91</td>\n",
              "      <td>23.300</td>\n",
              "      <td>33.100</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.620</td>\n",
              "      <td>78.73</td>\n",
              "      <td>0.880</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>102014</th>\n",
              "      <td>PRT</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Portugal</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>1190409.0</td>\n",
              "      <td>5373.0</td>\n",
              "      <td>3915.429</td>\n",
              "      <td>18645.0</td>\n",
              "      <td>19.0</td>\n",
              "      <td>18.714</td>\n",
              "      <td>117074.942</td>\n",
              "      <td>528.427</td>\n",
              "      <td>385.077</td>\n",
              "      <td>1833.708</td>\n",
              "      <td>1.869</td>\n",
              "      <td>1.841</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.827135e+07</td>\n",
              "      <td>9.083253e+06</td>\n",
              "      <td>9.026273e+06</td>\n",
              "      <td>1917881.0</td>\n",
              "      <td>65042.0</td>\n",
              "      <td>67923.0</td>\n",
              "      <td>179.70</td>\n",
              "      <td>89.33</td>\n",
              "      <td>88.77</td>\n",
              "      <td>18.86</td>\n",
              "      <td>6680.0</td>\n",
              "      <td>3562.0</td>\n",
              "      <td>0.035</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.016792e+07</td>\n",
              "      <td>112.371</td>\n",
              "      <td>46.2</td>\n",
              "      <td>21.502</td>\n",
              "      <td>14.924</td>\n",
              "      <td>27936.896</td>\n",
              "      <td>0.5</td>\n",
              "      <td>127.842</td>\n",
              "      <td>9.85</td>\n",
              "      <td>16.300</td>\n",
              "      <td>30.000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.390</td>\n",
              "      <td>82.05</td>\n",
              "      <td>0.864</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>102666</th>\n",
              "      <td>QAT</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Qatar</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>245188.0</td>\n",
              "      <td>158.0</td>\n",
              "      <td>159.571</td>\n",
              "      <td>612.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.143</td>\n",
              "      <td>83666.948</td>\n",
              "      <td>53.915</td>\n",
              "      <td>54.452</td>\n",
              "      <td>208.836</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.049</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.059023e+06</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7147.0</td>\n",
              "      <td>6797.0</td>\n",
              "      <td>172.63</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2319.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.930524e+06</td>\n",
              "      <td>227.322</td>\n",
              "      <td>31.9</td>\n",
              "      <td>1.307</td>\n",
              "      <td>0.617</td>\n",
              "      <td>116935.600</td>\n",
              "      <td>NaN</td>\n",
              "      <td>176.690</td>\n",
              "      <td>16.52</td>\n",
              "      <td>0.800</td>\n",
              "      <td>26.900</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.200</td>\n",
              "      <td>80.23</td>\n",
              "      <td>0.848</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>103321</th>\n",
              "      <td>ROU</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Romania</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>1791502.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>911.714</td>\n",
              "      <td>57531.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>72.857</td>\n",
              "      <td>93659.732</td>\n",
              "      <td>0.000</td>\n",
              "      <td>47.664</td>\n",
              "      <td>3007.721</td>\n",
              "      <td>0.000</td>\n",
              "      <td>3.809</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.538087e+07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.628548e+06</td>\n",
              "      <td>NaN</td>\n",
              "      <td>38564.0</td>\n",
              "      <td>40700.0</td>\n",
              "      <td>80.41</td>\n",
              "      <td>NaN</td>\n",
              "      <td>39.88</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2128.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.912777e+07</td>\n",
              "      <td>85.129</td>\n",
              "      <td>43.0</td>\n",
              "      <td>17.850</td>\n",
              "      <td>11.690</td>\n",
              "      <td>23313.199</td>\n",
              "      <td>5.7</td>\n",
              "      <td>370.946</td>\n",
              "      <td>9.74</td>\n",
              "      <td>22.900</td>\n",
              "      <td>37.100</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.892</td>\n",
              "      <td>76.05</td>\n",
              "      <td>0.828</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>104002</th>\n",
              "      <td>RUS</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Russia</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>9812538.0</td>\n",
              "      <td>29815.0</td>\n",
              "      <td>30607.857</td>\n",
              "      <td>282713.0</td>\n",
              "      <td>1142.0</td>\n",
              "      <td>1152.143</td>\n",
              "      <td>67249.688</td>\n",
              "      <td>204.335</td>\n",
              "      <td>209.769</td>\n",
              "      <td>1937.558</td>\n",
              "      <td>7.827</td>\n",
              "      <td>7.896</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.351546e+08</td>\n",
              "      <td>6.973878e+07</td>\n",
              "      <td>6.096213e+07</td>\n",
              "      <td>5557942.0</td>\n",
              "      <td>1635778.0</td>\n",
              "      <td>698425.0</td>\n",
              "      <td>92.63</td>\n",
              "      <td>47.80</td>\n",
              "      <td>41.78</td>\n",
              "      <td>3.81</td>\n",
              "      <td>4787.0</td>\n",
              "      <td>249582.0</td>\n",
              "      <td>0.171</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.459120e+08</td>\n",
              "      <td>8.823</td>\n",
              "      <td>39.6</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",
              "      <td>72.58</td>\n",
              "      <td>0.824</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>108941</th>\n",
              "      <td>SAU</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Saudi Arabia</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>550189.0</td>\n",
              "      <td>53.0</td>\n",
              "      <td>44.571</td>\n",
              "      <td>8852.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.429</td>\n",
              "      <td>15568.150</td>\n",
              "      <td>1.500</td>\n",
              "      <td>1.261</td>\n",
              "      <td>250.476</td>\n",
              "      <td>0.028</td>\n",
              "      <td>0.040</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.802317e+07</td>\n",
              "      <td>2.476693e+07</td>\n",
              "      <td>2.277150e+07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>39200.0</td>\n",
              "      <td>56540.0</td>\n",
              "      <td>135.89</td>\n",
              "      <td>70.08</td>\n",
              "      <td>64.43</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1600.0</td>\n",
              "      <td>14546.0</td>\n",
              "      <td>0.041</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.534068e+07</td>\n",
              "      <td>15.322</td>\n",
              "      <td>31.9</td>\n",
              "      <td>3.295</td>\n",
              "      <td>1.845</td>\n",
              "      <td>49045.411</td>\n",
              "      <td>NaN</td>\n",
              "      <td>259.538</td>\n",
              "      <td>17.72</td>\n",
              "      <td>1.800</td>\n",
              "      <td>25.400</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.700</td>\n",
              "      <td>75.13</td>\n",
              "      <td>0.854</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>113732</th>\n",
              "      <td>SVN</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Slovenia</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>439169.0</td>\n",
              "      <td>1480.0</td>\n",
              "      <td>1460.571</td>\n",
              "      <td>5394.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>14.857</td>\n",
              "      <td>211268.649</td>\n",
              "      <td>711.976</td>\n",
              "      <td>702.629</td>\n",
              "      <td>2594.862</td>\n",
              "      <td>4.811</td>\n",
              "      <td>7.147</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.756917e+06</td>\n",
              "      <td>1.238292e+06</td>\n",
              "      <td>1.170181e+06</td>\n",
              "      <td>348444.0</td>\n",
              "      <td>1522.0</td>\n",
              "      <td>6057.0</td>\n",
              "      <td>132.63</td>\n",
              "      <td>59.57</td>\n",
              "      <td>56.29</td>\n",
              "      <td>16.76</td>\n",
              "      <td>2914.0</td>\n",
              "      <td>493.0</td>\n",
              "      <td>0.024</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.078723e+06</td>\n",
              "      <td>102.619</td>\n",
              "      <td>44.5</td>\n",
              "      <td>19.062</td>\n",
              "      <td>12.930</td>\n",
              "      <td>31400.840</td>\n",
              "      <td>NaN</td>\n",
              "      <td>153.493</td>\n",
              "      <td>7.25</td>\n",
              "      <td>20.100</td>\n",
              "      <td>25.000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.500</td>\n",
              "      <td>81.32</td>\n",
              "      <td>0.917</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>116127</th>\n",
              "      <td>OWID_SAM</td>\n",
              "      <td>NaN</td>\n",
              "      <td>South America</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>39132589.0</td>\n",
              "      <td>8963.0</td>\n",
              "      <td>15093.286</td>\n",
              "      <td>1185477.0</td>\n",
              "      <td>170.0</td>\n",
              "      <td>324.714</td>\n",
              "      <td>90113.242</td>\n",
              "      <td>20.640</td>\n",
              "      <td>34.756</td>\n",
              "      <td>2729.878</td>\n",
              "      <td>0.391</td>\n",
              "      <td>0.748</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.115662e+08</td>\n",
              "      <td>3.236727e+08</td>\n",
              "      <td>2.632531e+08</td>\n",
              "      <td>36407580.0</td>\n",
              "      <td>420780.0</td>\n",
              "      <td>1344867.0</td>\n",
              "      <td>140.83</td>\n",
              "      <td>74.53</td>\n",
              "      <td>60.62</td>\n",
              "      <td>8.38</td>\n",
              "      <td>3097.0</td>\n",
              "      <td>271745.0</td>\n",
              "      <td>0.063</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.342601e+08</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>118800</th>\n",
              "      <td>LKA</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Sri Lanka</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>572188.0</td>\n",
              "      <td>762.0</td>\n",
              "      <td>750.286</td>\n",
              "      <td>14595.0</td>\n",
              "      <td>22.0</td>\n",
              "      <td>22.143</td>\n",
              "      <td>26616.730</td>\n",
              "      <td>35.446</td>\n",
              "      <td>34.901</td>\n",
              "      <td>678.922</td>\n",
              "      <td>1.023</td>\n",
              "      <td>1.030</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.091949e+07</td>\n",
              "      <td>1.595231e+07</td>\n",
              "      <td>1.378272e+07</td>\n",
              "      <td>1184455.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>174280.0</td>\n",
              "      <td>143.83</td>\n",
              "      <td>74.21</td>\n",
              "      <td>64.11</td>\n",
              "      <td>5.51</td>\n",
              "      <td>8107.0</td>\n",
              "      <td>1845.0</td>\n",
              "      <td>0.009</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.149731e+07</td>\n",
              "      <td>341.955</td>\n",
              "      <td>34.1</td>\n",
              "      <td>10.069</td>\n",
              "      <td>5.331</td>\n",
              "      <td>11669.077</td>\n",
              "      <td>0.7</td>\n",
              "      <td>197.093</td>\n",
              "      <td>10.68</td>\n",
              "      <td>0.300</td>\n",
              "      <td>27.000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.600</td>\n",
              "      <td>76.98</td>\n",
              "      <td>0.782</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>120078</th>\n",
              "      <td>SUR</td>\n",
              "      <td>South America</td>\n",
              "      <td>Suriname</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>51167.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>24.857</td>\n",
              "      <td>1176.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.857</td>\n",
              "      <td>86460.245</td>\n",
              "      <td>0.000</td>\n",
              "      <td>42.003</td>\n",
              "      <td>1987.165</td>\n",
              "      <td>0.000</td>\n",
              "      <td>1.448</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.838380e+05</td>\n",
              "      <td>2.597120e+05</td>\n",
              "      <td>2.241260e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1094.0</td>\n",
              "      <td>626.0</td>\n",
              "      <td>81.76</td>\n",
              "      <td>43.89</td>\n",
              "      <td>37.87</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1058.0</td>\n",
              "      <td>183.0</td>\n",
              "      <td>0.031</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.917980e+05</td>\n",
              "      <td>3.612</td>\n",
              "      <td>29.6</td>\n",
              "      <td>6.933</td>\n",
              "      <td>4.229</td>\n",
              "      <td>13767.119</td>\n",
              "      <td>NaN</td>\n",
              "      <td>258.314</td>\n",
              "      <td>12.54</td>\n",
              "      <td>7.400</td>\n",
              "      <td>42.900</td>\n",
              "      <td>67.779</td>\n",
              "      <td>3.100</td>\n",
              "      <td>71.68</td>\n",
              "      <td>0.738</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>124674</th>\n",
              "      <td>THA</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Thailand</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>2168646.0</td>\n",
              "      <td>3787.0</td>\n",
              "      <td>4587.000</td>\n",
              "      <td>21171.0</td>\n",
              "      <td>20.0</td>\n",
              "      <td>36.286</td>\n",
              "      <td>31002.428</td>\n",
              "      <td>54.138</td>\n",
              "      <td>65.575</td>\n",
              "      <td>302.655</td>\n",
              "      <td>0.286</td>\n",
              "      <td>0.519</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9.717733e+07</td>\n",
              "      <td>4.985970e+07</td>\n",
              "      <td>4.323434e+07</td>\n",
              "      <td>4083287.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>275138.0</td>\n",
              "      <td>138.92</td>\n",
              "      <td>71.28</td>\n",
              "      <td>61.81</td>\n",
              "      <td>5.84</td>\n",
              "      <td>3933.0</td>\n",
              "      <td>104282.0</td>\n",
              "      <td>0.149</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.995084e+07</td>\n",
              "      <td>135.132</td>\n",
              "      <td>40.1</td>\n",
              "      <td>11.373</td>\n",
              "      <td>6.890</td>\n",
              "      <td>16277.671</td>\n",
              "      <td>0.1</td>\n",
              "      <td>109.861</td>\n",
              "      <td>7.04</td>\n",
              "      <td>1.900</td>\n",
              "      <td>38.800</td>\n",
              "      <td>90.670</td>\n",
              "      <td>2.100</td>\n",
              "      <td>77.15</td>\n",
              "      <td>0.777</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>126940</th>\n",
              "      <td>TTO</td>\n",
              "      <td>North America</td>\n",
              "      <td>Trinidad and Tobago</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>80049.0</td>\n",
              "      <td>812.0</td>\n",
              "      <td>788.000</td>\n",
              "      <td>2383.0</td>\n",
              "      <td>22.0</td>\n",
              "      <td>21.000</td>\n",
              "      <td>57040.390</td>\n",
              "      <td>578.606</td>\n",
              "      <td>561.504</td>\n",
              "      <td>1698.051</td>\n",
              "      <td>15.677</td>\n",
              "      <td>14.964</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.352548e+06</td>\n",
              "      <td>6.984730e+05</td>\n",
              "      <td>6.540750e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1826.0</td>\n",
              "      <td>1695.0</td>\n",
              "      <td>96.38</td>\n",
              "      <td>49.77</td>\n",
              "      <td>46.61</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1208.0</td>\n",
              "      <td>814.0</td>\n",
              "      <td>0.058</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.403374e+06</td>\n",
              "      <td>266.886</td>\n",
              "      <td>36.2</td>\n",
              "      <td>10.014</td>\n",
              "      <td>5.819</td>\n",
              "      <td>28763.071</td>\n",
              "      <td>NaN</td>\n",
              "      <td>228.467</td>\n",
              "      <td>10.97</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>89.443</td>\n",
              "      <td>3.000</td>\n",
              "      <td>73.51</td>\n",
              "      <td>0.796</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>128229</th>\n",
              "      <td>TUR</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Turkey</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>9024193.0</td>\n",
              "      <td>19255.0</td>\n",
              "      <td>20066.143</td>\n",
              "      <td>78969.0</td>\n",
              "      <td>191.0</td>\n",
              "      <td>189.143</td>\n",
              "      <td>106113.625</td>\n",
              "      <td>226.416</td>\n",
              "      <td>235.954</td>\n",
              "      <td>928.580</td>\n",
              "      <td>2.246</td>\n",
              "      <td>2.224</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.216005e+08</td>\n",
              "      <td>5.650779e+07</td>\n",
              "      <td>5.089643e+07</td>\n",
              "      <td>14196321.0</td>\n",
              "      <td>67812.0</td>\n",
              "      <td>106143.0</td>\n",
              "      <td>142.99</td>\n",
              "      <td>66.45</td>\n",
              "      <td>59.85</td>\n",
              "      <td>16.69</td>\n",
              "      <td>1248.0</td>\n",
              "      <td>20974.0</td>\n",
              "      <td>0.025</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.504274e+07</td>\n",
              "      <td>104.914</td>\n",
              "      <td>31.6</td>\n",
              "      <td>8.153</td>\n",
              "      <td>5.061</td>\n",
              "      <td>25129.341</td>\n",
              "      <td>0.2</td>\n",
              "      <td>171.285</td>\n",
              "      <td>12.13</td>\n",
              "      <td>14.100</td>\n",
              "      <td>41.100</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.810</td>\n",
              "      <td>77.69</td>\n",
              "      <td>0.820</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>130171</th>\n",
              "      <td>UKR</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Ukraine</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>3728246.0</td>\n",
              "      <td>10606.0</td>\n",
              "      <td>9523.286</td>\n",
              "      <td>96427.0</td>\n",
              "      <td>475.0</td>\n",
              "      <td>428.714</td>\n",
              "      <td>85772.224</td>\n",
              "      <td>244.002</td>\n",
              "      <td>219.093</td>\n",
              "      <td>2218.405</td>\n",
              "      <td>10.928</td>\n",
              "      <td>9.863</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.653580e+07</td>\n",
              "      <td>1.411489e+07</td>\n",
              "      <td>1.244159e+07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>83256.0</td>\n",
              "      <td>149637.0</td>\n",
              "      <td>61.05</td>\n",
              "      <td>32.47</td>\n",
              "      <td>28.62</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3443.0</td>\n",
              "      <td>55570.0</td>\n",
              "      <td>0.128</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.346682e+07</td>\n",
              "      <td>77.390</td>\n",
              "      <td>41.4</td>\n",
              "      <td>16.462</td>\n",
              "      <td>11.133</td>\n",
              "      <td>7894.393</td>\n",
              "      <td>0.1</td>\n",
              "      <td>539.849</td>\n",
              "      <td>7.11</td>\n",
              "      <td>13.500</td>\n",
              "      <td>47.400</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.800</td>\n",
              "      <td>72.06</td>\n",
              "      <td>0.779</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>130854</th>\n",
              "      <td>ARE</td>\n",
              "      <td>Asia</td>\n",
              "      <td>United Arab Emirates</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>742719.0</td>\n",
              "      <td>78.0</td>\n",
              "      <td>72.143</td>\n",
              "      <td>2151.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.429</td>\n",
              "      <td>74338.187</td>\n",
              "      <td>7.807</td>\n",
              "      <td>7.221</td>\n",
              "      <td>215.292</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.043</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.212490e+07</td>\n",
              "      <td>9.890432e+06</td>\n",
              "      <td>9.010183e+06</td>\n",
              "      <td>3224281.0</td>\n",
              "      <td>36762.0</td>\n",
              "      <td>29725.0</td>\n",
              "      <td>221.45</td>\n",
              "      <td>98.99</td>\n",
              "      <td>90.18</td>\n",
              "      <td>32.27</td>\n",
              "      <td>2975.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9.991083e+06</td>\n",
              "      <td>112.442</td>\n",
              "      <td>34.0</td>\n",
              "      <td>1.144</td>\n",
              "      <td>0.526</td>\n",
              "      <td>67293.483</td>\n",
              "      <td>NaN</td>\n",
              "      <td>317.840</td>\n",
              "      <td>17.26</td>\n",
              "      <td>1.200</td>\n",
              "      <td>37.400</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.200</td>\n",
              "      <td>77.97</td>\n",
              "      <td>0.890</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>132225</th>\n",
              "      <td>USA</td>\n",
              "      <td>North America</td>\n",
              "      <td>United States</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>49884587.0</td>\n",
              "      <td>51148.0</td>\n",
              "      <td>118900.000</td>\n",
              "      <td>797179.0</td>\n",
              "      <td>415.0</td>\n",
              "      <td>1259.571</td>\n",
              "      <td>149841.779</td>\n",
              "      <td>153.637</td>\n",
              "      <td>357.148</td>\n",
              "      <td>2394.542</td>\n",
              "      <td>1.247</td>\n",
              "      <td>3.783</td>\n",
              "      <td>NaN</td>\n",
              "      <td>15092.0</td>\n",
              "      <td>45.333</td>\n",
              "      <td>61044.0</td>\n",
              "      <td>183.362</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.826960e+08</td>\n",
              "      <td>2.386797e+08</td>\n",
              "      <td>2.001454e+08</td>\n",
              "      <td>52836330.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>982975.0</td>\n",
              "      <td>145.39</td>\n",
              "      <td>71.89</td>\n",
              "      <td>60.28</td>\n",
              "      <td>15.91</td>\n",
              "      <td>2961.0</td>\n",
              "      <td>224480.0</td>\n",
              "      <td>0.068</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.329151e+08</td>\n",
              "      <td>35.608</td>\n",
              "      <td>38.3</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",
              "      <td>78.86</td>\n",
              "      <td>0.926</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>132915</th>\n",
              "      <td>OWID_UMC</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Upper middle income</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>83852957.0</td>\n",
              "      <td>102661.0</td>\n",
              "      <td>113325.714</td>\n",
              "      <td>2219971.0</td>\n",
              "      <td>2040.0</td>\n",
              "      <td>2433.571</td>\n",
              "      <td>33358.740</td>\n",
              "      <td>40.841</td>\n",
              "      <td>45.084</td>\n",
              "      <td>883.158</td>\n",
              "      <td>0.812</td>\n",
              "      <td>0.968</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.913002e+09</td>\n",
              "      <td>1.917231e+09</td>\n",
              "      <td>1.742166e+09</td>\n",
              "      <td>177674192.0</td>\n",
              "      <td>16203409.0</td>\n",
              "      <td>11939674.0</td>\n",
              "      <td>155.67</td>\n",
              "      <td>76.27</td>\n",
              "      <td>69.31</td>\n",
              "      <td>7.07</td>\n",
              "      <td>4750.0</td>\n",
              "      <td>1603889.0</td>\n",
              "      <td>0.064</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.513673e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>133554</th>\n",
              "      <td>URY</td>\n",
              "      <td>South America</td>\n",
              "      <td>Uruguay</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>402383.0</td>\n",
              "      <td>234.0</td>\n",
              "      <td>223.143</td>\n",
              "      <td>6142.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.429</td>\n",
              "      <td>115456.370</td>\n",
              "      <td>67.142</td>\n",
              "      <td>64.027</td>\n",
              "      <td>1762.333</td>\n",
              "      <td>0.287</td>\n",
              "      <td>0.410</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.857762e+06</td>\n",
              "      <td>2.755353e+06</td>\n",
              "      <td>2.665494e+06</td>\n",
              "      <td>1436915.0</td>\n",
              "      <td>53.0</td>\n",
              "      <td>4234.0</td>\n",
              "      <td>196.77</td>\n",
              "      <td>79.06</td>\n",
              "      <td>76.48</td>\n",
              "      <td>41.23</td>\n",
              "      <td>1215.0</td>\n",
              "      <td>386.0</td>\n",
              "      <td>0.011</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.485152e+06</td>\n",
              "      <td>19.751</td>\n",
              "      <td>35.6</td>\n",
              "      <td>14.655</td>\n",
              "      <td>10.361</td>\n",
              "      <td>20551.409</td>\n",
              "      <td>0.1</td>\n",
              "      <td>160.708</td>\n",
              "      <td>6.93</td>\n",
              "      <td>14.000</td>\n",
              "      <td>19.900</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.800</td>\n",
              "      <td>77.91</td>\n",
              "      <td>0.817</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>137504</th>\n",
              "      <td>OWID_WRL</td>\n",
              "      <td>NaN</td>\n",
              "      <td>World</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>269736004.0</td>\n",
              "      <td>540705.0</td>\n",
              "      <td>613476.143</td>\n",
              "      <td>5301714.0</td>\n",
              "      <td>5808.0</td>\n",
              "      <td>7552.143</td>\n",
              "      <td>34252.340</td>\n",
              "      <td>68.661</td>\n",
              "      <td>77.902</td>\n",
              "      <td>673.236</td>\n",
              "      <td>0.738</td>\n",
              "      <td>0.959</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.447075e+09</td>\n",
              "      <td>4.408091e+09</td>\n",
              "      <td>3.625389e+09</td>\n",
              "      <td>363605249.0</td>\n",
              "      <td>36090102.0</td>\n",
              "      <td>34878261.0</td>\n",
              "      <td>107.26</td>\n",
              "      <td>55.98</td>\n",
              "      <td>46.04</td>\n",
              "      <td>4.62</td>\n",
              "      <td>4429.0</td>\n",
              "      <td>10738904.0</td>\n",
              "      <td>0.136</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.874966e+09</td>\n",
              "      <td>58.045</td>\n",
              "      <td>30.9</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",
              "      <td>72.58</td>\n",
              "      <td>0.737</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>138749</th>\n",
              "      <td>ZMB</td>\n",
              "      <td>Africa</td>\n",
              "      <td>Zambia</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>210959.0</td>\n",
              "      <td>235.0</td>\n",
              "      <td>95.000</td>\n",
              "      <td>3669.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.286</td>\n",
              "      <td>11149.666</td>\n",
              "      <td>12.420</td>\n",
              "      <td>5.021</td>\n",
              "      <td>193.915</td>\n",
              "      <td>0.053</td>\n",
              "      <td>0.015</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.242193e+06</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.215360e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>14855.0</td>\n",
              "      <td>6.57</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.34</td>\n",
              "      <td>NaN</td>\n",
              "      <td>785.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.892066e+07</td>\n",
              "      <td>22.995</td>\n",
              "      <td>17.7</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",
              "      <td>63.89</td>\n",
              "      <td>0.584</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        iso_code  ... excess_mortality_cumulative_per_million\n",
              "1324    OWID_AFR  ...                                     NaN\n",
              "5576         ARG  ...                                     NaN\n",
              "7174    OWID_ASI  ...                                     NaN\n",
              "7860         AUS  ...                                     NaN\n",
              "8516         AUT  ...                                     NaN\n",
              "9167         AZE  ...                                     NaN\n",
              "10460        BHR  ...                                     NaN\n",
              "11109        BGD  ...                                     NaN\n",
              "18031        BRA  ...                                     NaN\n",
              "19515        BGR  ...                                     NaN\n",
              "22795        CAN  ...                                     NaN\n",
              "26388        CHN  ...                                     NaN\n",
              "30373        HRV  ...                                     NaN\n",
              "32569        CZE  ...                                     NaN\n",
              "39701        EST  ...                                     NaN\n",
              "41667   OWID_EUR  ...                                     NaN\n",
              "42356   OWID_EUN  ...                                     NaN\n",
              "49307        GRC  ...                                     NaN\n",
              "54466   OWID_HIC  ...                                     NaN\n",
              "55796        HKG  ...                                     NaN\n",
              "57781        IND  ...                                     NaN\n",
              "58431        IDN  ...                                     NaN\n",
              "62062        ISR  ...                                     NaN\n",
              "62743        ITA  ...                                     NaN\n",
              "64990        JOR  ...                                     NaN\n",
              "65629        KAZ  ...                                     NaN\n",
              "68412        KGZ  ...                                     NaN\n",
              "70355        LBN  ...                                     NaN\n",
              "73516        LTU  ...                                     NaN\n",
              "74864   OWID_LMC  ...                                     NaN\n",
              "82082        MEX  ...                                     NaN\n",
              "83051        MDA  ...                                     NaN\n",
              "84345        MNG  ...                                     NaN\n",
              "84980        MNE  ...                                     NaN\n",
              "90273        NZL  ...                                     NaN\n",
              "92924   OWID_NAM  ...                                     NaN\n",
              "95238   OWID_OCE  ...                                     NaN\n",
              "97953        PAN  ...                                     NaN\n",
              "101356       POL  ...                                     NaN\n",
              "102014       PRT  ...                                     NaN\n",
              "102666       QAT  ...                                     NaN\n",
              "103321       ROU  ...                                     NaN\n",
              "104002       RUS  ...                                     NaN\n",
              "108941       SAU  ...                                     NaN\n",
              "113732       SVN  ...                                     NaN\n",
              "116127  OWID_SAM  ...                                     NaN\n",
              "118800       LKA  ...                                     NaN\n",
              "120078       SUR  ...                                     NaN\n",
              "124674       THA  ...                                     NaN\n",
              "126940       TTO  ...                                     NaN\n",
              "128229       TUR  ...                                     NaN\n",
              "130171       UKR  ...                                     NaN\n",
              "130854       ARE  ...                                     NaN\n",
              "132225       USA  ...                                     NaN\n",
              "132915  OWID_UMC  ...                                     NaN\n",
              "133554       URY  ...                                     NaN\n",
              "137504  OWID_WRL  ...                                     NaN\n",
              "138749       ZMB  ...                                     NaN\n",
              "\n",
              "[58 rows x 67 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Values over 100 indicate on average an indiviudal has at least 1 shot\n",
        "#Values over 200 indicate on average an indiviudal has at least 2 shots\n",
        "Most_vaxed=All_countries_Recent_df.sort_values('total_vaccinations_per_hundred',ascending=False)\n",
        "Most_vaxed[['location','total_vaccinations_per_hundred']]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "vA4uh4_LNhK1",
        "outputId": "15e9283c-2a74-49fe-f8e2-68da26f1d970"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>location</th>\n",
              "      <th>total_vaccinations_per_hundred</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>130854</th>\n",
              "      <td>United Arab Emirates</td>\n",
              "      <td>221.45</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>133554</th>\n",
              "      <td>Uruguay</td>\n",
              "      <td>196.77</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26388</th>\n",
              "      <td>China</td>\n",
              "      <td>180.22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>102014</th>\n",
              "      <td>Portugal</td>\n",
              "      <td>179.70</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62062</th>\n",
              "      <td>Israel</td>\n",
              "      <td>175.55</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10460</th>\n",
              "      <td>Bahrain</td>\n",
              "      <td>173.71</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>102666</th>\n",
              "      <td>Qatar</td>\n",
              "      <td>172.63</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62743</th>\n",
              "      <td>Italy</td>\n",
              "      <td>168.48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8516</th>\n",
              "      <td>Austria</td>\n",
              "      <td>167.43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22795</th>\n",
              "      <td>Canada</td>\n",
              "      <td>165.58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5576</th>\n",
              "      <td>Argentina</td>\n",
              "      <td>156.55</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>54466</th>\n",
              "      <td>High income</td>\n",
              "      <td>156.10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7860</th>\n",
              "      <td>Australia</td>\n",
              "      <td>155.71</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>132915</th>\n",
              "      <td>Upper middle income</td>\n",
              "      <td>155.67</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90273</th>\n",
              "      <td>New Zealand</td>\n",
              "      <td>153.65</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42356</th>\n",
              "      <td>European Union</td>\n",
              "      <td>151.32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18031</th>\n",
              "      <td>Brazil</td>\n",
              "      <td>149.53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49307</th>\n",
              "      <td>Greece</td>\n",
              "      <td>149.01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>132225</th>\n",
              "      <td>United States</td>\n",
              "      <td>145.39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>73516</th>\n",
              "      <td>Lithuania</td>\n",
              "      <td>143.90</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>118800</th>\n",
              "      <td>Sri Lanka</td>\n",
              "      <td>143.83</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>128229</th>\n",
              "      <td>Turkey</td>\n",
              "      <td>142.99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>116127</th>\n",
              "      <td>South America</td>\n",
              "      <td>140.83</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>124674</th>\n",
              "      <td>Thailand</td>\n",
              "      <td>138.92</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>108941</th>\n",
              "      <td>Saudi Arabia</td>\n",
              "      <td>135.89</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41667</th>\n",
              "      <td>Europe</td>\n",
              "      <td>134.32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32569</th>\n",
              "      <td>Czechia</td>\n",
              "      <td>133.95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84345</th>\n",
              "      <td>Mongolia</td>\n",
              "      <td>132.72</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>113732</th>\n",
              "      <td>Slovenia</td>\n",
              "      <td>132.63</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>92924</th>\n",
              "      <td>North America</td>\n",
              "      <td>130.60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>97953</th>\n",
              "      <td>Panama</td>\n",
              "      <td>129.73</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>55796</th>\n",
              "      <td>Hong Kong</td>\n",
              "      <td>127.56</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7174</th>\n",
              "      <td>Asia</td>\n",
              "      <td>122.59</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>95238</th>\n",
              "      <td>Oceania</td>\n",
              "      <td>118.65</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>101356</th>\n",
              "      <td>Poland</td>\n",
              "      <td>116.94</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39701</th>\n",
              "      <td>Estonia</td>\n",
              "      <td>112.95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30373</th>\n",
              "      <td>Croatia</td>\n",
              "      <td>107.35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>137504</th>\n",
              "      <td>World</td>\n",
              "      <td>107.26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9167</th>\n",
              "      <td>Azerbaijan</td>\n",
              "      <td>106.32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82082</th>\n",
              "      <td>Mexico</td>\n",
              "      <td>105.04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>126940</th>\n",
              "      <td>Trinidad and Tobago</td>\n",
              "      <td>96.38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57781</th>\n",
              "      <td>India</td>\n",
              "      <td>95.27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>104002</th>\n",
              "      <td>Russia</td>\n",
              "      <td>92.63</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58431</th>\n",
              "      <td>Indonesia</td>\n",
              "      <td>90.24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>65629</th>\n",
              "      <td>Kazakhstan</td>\n",
              "      <td>90.15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84980</th>\n",
              "      <td>Montenegro</td>\n",
              "      <td>86.46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>120078</th>\n",
              "      <td>Suriname</td>\n",
              "      <td>81.76</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>103321</th>\n",
              "      <td>Romania</td>\n",
              "      <td>80.41</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>64990</th>\n",
              "      <td>Jordan</td>\n",
              "      <td>78.23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>74864</th>\n",
              "      <td>Lower middle income</td>\n",
              "      <td>77.27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11109</th>\n",
              "      <td>Bangladesh</td>\n",
              "      <td>76.87</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>130171</th>\n",
              "      <td>Ukraine</td>\n",
              "      <td>61.05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>70355</th>\n",
              "      <td>Lebanon</td>\n",
              "      <td>56.03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19515</th>\n",
              "      <td>Bulgaria</td>\n",
              "      <td>50.61</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83051</th>\n",
              "      <td>Moldova</td>\n",
              "      <td>41.77</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68412</th>\n",
              "      <td>Kyrgyzstan</td>\n",
              "      <td>31.77</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1324</th>\n",
              "      <td>Africa</td>\n",
              "      <td>19.21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>138749</th>\n",
              "      <td>Zambia</td>\n",
              "      <td>6.57</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                    location  total_vaccinations_per_hundred\n",
              "130854  United Arab Emirates                          221.45\n",
              "133554               Uruguay                          196.77\n",
              "26388                  China                          180.22\n",
              "102014              Portugal                          179.70\n",
              "62062                 Israel                          175.55\n",
              "10460                Bahrain                          173.71\n",
              "102666                 Qatar                          172.63\n",
              "62743                  Italy                          168.48\n",
              "8516                 Austria                          167.43\n",
              "22795                 Canada                          165.58\n",
              "5576               Argentina                          156.55\n",
              "54466            High income                          156.10\n",
              "7860               Australia                          155.71\n",
              "132915   Upper middle income                          155.67\n",
              "90273            New Zealand                          153.65\n",
              "42356         European Union                          151.32\n",
              "18031                 Brazil                          149.53\n",
              "49307                 Greece                          149.01\n",
              "132225         United States                          145.39\n",
              "73516              Lithuania                          143.90\n",
              "118800             Sri Lanka                          143.83\n",
              "128229                Turkey                          142.99\n",
              "116127         South America                          140.83\n",
              "124674              Thailand                          138.92\n",
              "108941          Saudi Arabia                          135.89\n",
              "41667                 Europe                          134.32\n",
              "32569                Czechia                          133.95\n",
              "84345               Mongolia                          132.72\n",
              "113732              Slovenia                          132.63\n",
              "92924          North America                          130.60\n",
              "97953                 Panama                          129.73\n",
              "55796              Hong Kong                          127.56\n",
              "7174                    Asia                          122.59\n",
              "95238                Oceania                          118.65\n",
              "101356                Poland                          116.94\n",
              "39701                Estonia                          112.95\n",
              "30373                Croatia                          107.35\n",
              "137504                 World                          107.26\n",
              "9167              Azerbaijan                          106.32\n",
              "82082                 Mexico                          105.04\n",
              "126940   Trinidad and Tobago                           96.38\n",
              "57781                  India                           95.27\n",
              "104002                Russia                           92.63\n",
              "58431              Indonesia                           90.24\n",
              "65629             Kazakhstan                           90.15\n",
              "84980             Montenegro                           86.46\n",
              "120078              Suriname                           81.76\n",
              "103321               Romania                           80.41\n",
              "64990                 Jordan                           78.23\n",
              "74864    Lower middle income                           77.27\n",
              "11109             Bangladesh                           76.87\n",
              "130171               Ukraine                           61.05\n",
              "70355                Lebanon                           56.03\n",
              "19515               Bulgaria                           50.61\n",
              "83051                Moldova                           41.77\n",
              "68412             Kyrgyzstan                           31.77\n",
              "1324                  Africa                           19.21\n",
              "138749                Zambia                            6.57"
            ]
          },
          "metadata": {},
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Looking at bigger countries that are considered COVID hotspots\n",
        "Recent_df=[]\n",
        "temp=[]\n",
        "countries=['Brazil','United States','India','United Kingdom','Russia','Turkey','France']\n",
        "for i in countries:\n",
        "  temp=df.loc[df['location'] == i]\n",
        "  recent=temp.iloc[-1]\n",
        "  Recent_df.append(recent)"
      ],
      "metadata": {
        "id": "LaDdFChbHkZO"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Recent_df=pd.DataFrame(Recent_df)\n",
        "Recent_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 405
        },
        "id": "lt0UQp1kIX4A",
        "outputId": "0cd0b38c-2c75-4942-c087-3f9868d6149a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "\n",
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              "    }\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>continent</th>\n",
              "      <th>location</th>\n",
              "      <th>date</th>\n",
              "      <th>total_cases</th>\n",
              "      <th>new_cases</th>\n",
              "      <th>new_cases_smoothed</th>\n",
              "      <th>total_deaths</th>\n",
              "      <th>new_deaths</th>\n",
              "      <th>new_deaths_smoothed</th>\n",
              "      <th>total_cases_per_million</th>\n",
              "      <th>new_cases_per_million</th>\n",
              "      <th>new_cases_smoothed_per_million</th>\n",
              "      <th>total_deaths_per_million</th>\n",
              "      <th>new_deaths_per_million</th>\n",
              "      <th>new_deaths_smoothed_per_million</th>\n",
              "      <th>reproduction_rate</th>\n",
              "      <th>icu_patients</th>\n",
              "      <th>icu_patients_per_million</th>\n",
              "      <th>hosp_patients</th>\n",
              "      <th>hosp_patients_per_million</th>\n",
              "      <th>weekly_icu_admissions</th>\n",
              "      <th>weekly_icu_admissions_per_million</th>\n",
              "      <th>weekly_hosp_admissions</th>\n",
              "      <th>weekly_hosp_admissions_per_million</th>\n",
              "      <th>new_tests</th>\n",
              "      <th>total_tests</th>\n",
              "      <th>total_tests_per_thousand</th>\n",
              "      <th>new_tests_per_thousand</th>\n",
              "      <th>new_tests_smoothed</th>\n",
              "      <th>new_tests_smoothed_per_thousand</th>\n",
              "      <th>positive_rate</th>\n",
              "      <th>tests_per_case</th>\n",
              "      <th>tests_units</th>\n",
              "      <th>total_vaccinations</th>\n",
              "      <th>people_vaccinated</th>\n",
              "      <th>people_fully_vaccinated</th>\n",
              "      <th>total_boosters</th>\n",
              "      <th>new_vaccinations</th>\n",
              "      <th>new_vaccinations_smoothed</th>\n",
              "      <th>total_vaccinations_per_hundred</th>\n",
              "      <th>people_vaccinated_per_hundred</th>\n",
              "      <th>people_fully_vaccinated_per_hundred</th>\n",
              "      <th>total_boosters_per_hundred</th>\n",
              "      <th>new_vaccinations_smoothed_per_million</th>\n",
              "      <th>new_people_vaccinated_smoothed</th>\n",
              "      <th>new_people_vaccinated_smoothed_per_hundred</th>\n",
              "      <th>stringency_index</th>\n",
              "      <th>population</th>\n",
              "      <th>population_density</th>\n",
              "      <th>median_age</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>cardiovasc_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_thousand</th>\n",
              "      <th>life_expectancy</th>\n",
              "      <th>human_development_index</th>\n",
              "      <th>excess_mortality_cumulative_absolute</th>\n",
              "      <th>excess_mortality_cumulative</th>\n",
              "      <th>excess_mortality</th>\n",
              "      <th>excess_mortality_cumulative_per_million</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>18031</th>\n",
              "      <td>BRA</td>\n",
              "      <td>South America</td>\n",
              "      <td>Brazil</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>22177059.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5544.571</td>\n",
              "      <td>616457.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>126.714</td>\n",
              "      <td>103634.293</td>\n",
              "      <td>0.000</td>\n",
              "      <td>25.910</td>\n",
              "      <td>2880.728</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.592</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.199801e+08</td>\n",
              "      <td>165080223.0</td>\n",
              "      <td>139389518.0</td>\n",
              "      <td>20456996.0</td>\n",
              "      <td>241022.0</td>\n",
              "      <td>789905.0</td>\n",
              "      <td>149.53</td>\n",
              "      <td>77.14</td>\n",
              "      <td>65.14</td>\n",
              "      <td>9.56</td>\n",
              "      <td>3691.0</td>\n",
              "      <td>76661.0</td>\n",
              "      <td>0.036</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.139934e+08</td>\n",
              "      <td>25.040</td>\n",
              "      <td>33.5</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>10.1</td>\n",
              "      <td>17.9</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.20</td>\n",
              "      <td>75.88</td>\n",
              "      <td>0.765</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>132225</th>\n",
              "      <td>USA</td>\n",
              "      <td>North America</td>\n",
              "      <td>United States</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>49884587.0</td>\n",
              "      <td>51148.0</td>\n",
              "      <td>118900.000</td>\n",
              "      <td>797179.0</td>\n",
              "      <td>415.0</td>\n",
              "      <td>1259.571</td>\n",
              "      <td>149841.779</td>\n",
              "      <td>153.637</td>\n",
              "      <td>357.148</td>\n",
              "      <td>2394.542</td>\n",
              "      <td>1.247</td>\n",
              "      <td>3.783</td>\n",
              "      <td>NaN</td>\n",
              "      <td>15092.0</td>\n",
              "      <td>45.333</td>\n",
              "      <td>61044.0</td>\n",
              "      <td>183.362</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.826960e+08</td>\n",
              "      <td>238679707.0</td>\n",
              "      <td>200145430.0</td>\n",
              "      <td>52836330.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>982975.0</td>\n",
              "      <td>145.39</td>\n",
              "      <td>71.89</td>\n",
              "      <td>60.28</td>\n",
              "      <td>15.91</td>\n",
              "      <td>2961.0</td>\n",
              "      <td>224480.0</td>\n",
              "      <td>0.068</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.329151e+08</td>\n",
              "      <td>35.608</td>\n",
              "      <td>38.3</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>19.1</td>\n",
              "      <td>24.6</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.77</td>\n",
              "      <td>78.86</td>\n",
              "      <td>0.926</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57781</th>\n",
              "      <td>IND</td>\n",
              "      <td>Asia</td>\n",
              "      <td>India</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>34690510.0</td>\n",
              "      <td>7877.0</td>\n",
              "      <td>9450.000</td>\n",
              "      <td>475434.0</td>\n",
              "      <td>562.0</td>\n",
              "      <td>700.571</td>\n",
              "      <td>24896.143</td>\n",
              "      <td>5.653</td>\n",
              "      <td>6.782</td>\n",
              "      <td>341.202</td>\n",
              "      <td>0.403</td>\n",
              "      <td>0.503</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.327494e+09</td>\n",
              "      <td>815387998.0</td>\n",
              "      <td>512106250.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>15119160.0</td>\n",
              "      <td>7669715.0</td>\n",
              "      <td>95.27</td>\n",
              "      <td>58.52</td>\n",
              "      <td>36.75</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5504.0</td>\n",
              "      <td>2234639.0</td>\n",
              "      <td>0.160</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.393409e+09</td>\n",
              "      <td>450.419</td>\n",
              "      <td>28.2</td>\n",
              "      <td>5.989</td>\n",
              "      <td>3.414</td>\n",
              "      <td>6426.674</td>\n",
              "      <td>21.2</td>\n",
              "      <td>282.280</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",
              "      <td>69.66</td>\n",
              "      <td>0.645</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>131535</th>\n",
              "      <td>GBR</td>\n",
              "      <td>Europe</td>\n",
              "      <td>United Kingdom</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>10833033.0</td>\n",
              "      <td>52423.0</td>\n",
              "      <td>50439.714</td>\n",
              "      <td>146844.0</td>\n",
              "      <td>132.0</td>\n",
              "      <td>120.429</td>\n",
              "      <td>158825.559</td>\n",
              "      <td>768.586</td>\n",
              "      <td>739.508</td>\n",
              "      <td>2152.913</td>\n",
              "      <td>1.935</td>\n",
              "      <td>1.766</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.820711e+07</td>\n",
              "      <td>272.898</td>\n",
              "      <td>40.8</td>\n",
              "      <td>18.517</td>\n",
              "      <td>12.527</td>\n",
              "      <td>39753.244</td>\n",
              "      <td>0.2</td>\n",
              "      <td>122.137</td>\n",
              "      <td>4.28</td>\n",
              "      <td>20.0</td>\n",
              "      <td>24.7</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.54</td>\n",
              "      <td>81.32</td>\n",
              "      <td>0.932</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>104002</th>\n",
              "      <td>RUS</td>\n",
              "      <td>Europe</td>\n",
              "      <td>Russia</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>9812538.0</td>\n",
              "      <td>29815.0</td>\n",
              "      <td>30607.857</td>\n",
              "      <td>282713.0</td>\n",
              "      <td>1142.0</td>\n",
              "      <td>1152.143</td>\n",
              "      <td>67249.688</td>\n",
              "      <td>204.335</td>\n",
              "      <td>209.769</td>\n",
              "      <td>1937.558</td>\n",
              "      <td>7.827</td>\n",
              "      <td>7.896</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.351546e+08</td>\n",
              "      <td>69738785.0</td>\n",
              "      <td>60962126.0</td>\n",
              "      <td>5557942.0</td>\n",
              "      <td>1635778.0</td>\n",
              "      <td>698425.0</td>\n",
              "      <td>92.63</td>\n",
              "      <td>47.80</td>\n",
              "      <td>41.78</td>\n",
              "      <td>3.81</td>\n",
              "      <td>4787.0</td>\n",
              "      <td>249582.0</td>\n",
              "      <td>0.171</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.459120e+08</td>\n",
              "      <td>8.823</td>\n",
              "      <td>39.6</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",
              "      <td>72.58</td>\n",
              "      <td>0.824</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>128229</th>\n",
              "      <td>TUR</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Turkey</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>9024193.0</td>\n",
              "      <td>19255.0</td>\n",
              "      <td>20066.143</td>\n",
              "      <td>78969.0</td>\n",
              "      <td>191.0</td>\n",
              "      <td>189.143</td>\n",
              "      <td>106113.625</td>\n",
              "      <td>226.416</td>\n",
              "      <td>235.954</td>\n",
              "      <td>928.580</td>\n",
              "      <td>2.246</td>\n",
              "      <td>2.224</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.216005e+08</td>\n",
              "      <td>56507792.0</td>\n",
              "      <td>50896427.0</td>\n",
              "      <td>14196321.0</td>\n",
              "      <td>67812.0</td>\n",
              "      <td>106143.0</td>\n",
              "      <td>142.99</td>\n",
              "      <td>66.45</td>\n",
              "      <td>59.85</td>\n",
              "      <td>16.69</td>\n",
              "      <td>1248.0</td>\n",
              "      <td>20974.0</td>\n",
              "      <td>0.025</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.504274e+07</td>\n",
              "      <td>104.914</td>\n",
              "      <td>31.6</td>\n",
              "      <td>8.153</td>\n",
              "      <td>5.061</td>\n",
              "      <td>25129.341</td>\n",
              "      <td>0.2</td>\n",
              "      <td>171.285</td>\n",
              "      <td>12.13</td>\n",
              "      <td>14.1</td>\n",
              "      <td>41.1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.81</td>\n",
              "      <td>77.69</td>\n",
              "      <td>0.820</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44757</th>\n",
              "      <td>FRA</td>\n",
              "      <td>Europe</td>\n",
              "      <td>France</td>\n",
              "      <td>2021-12-11</td>\n",
              "      <td>8318995.0</td>\n",
              "      <td>108844.0</td>\n",
              "      <td>48595.714</td>\n",
              "      <td>121368.0</td>\n",
              "      <td>212.0</td>\n",
              "      <td>125.714</td>\n",
              "      <td>123127.170</td>\n",
              "      <td>1610.970</td>\n",
              "      <td>719.252</td>\n",
              "      <td>1796.335</td>\n",
              "      <td>3.138</td>\n",
              "      <td>1.861</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2539.0</td>\n",
              "      <td>37.579</td>\n",
              "      <td>13855.0</td>\n",
              "      <td>205.064</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.756425e+07</td>\n",
              "      <td>122.578</td>\n",
              "      <td>42.0</td>\n",
              "      <td>19.718</td>\n",
              "      <td>13.079</td>\n",
              "      <td>38605.671</td>\n",
              "      <td>NaN</td>\n",
              "      <td>86.060</td>\n",
              "      <td>4.77</td>\n",
              "      <td>30.1</td>\n",
              "      <td>35.6</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.98</td>\n",
              "      <td>82.66</td>\n",
              "      <td>0.901</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       iso_code  ... excess_mortality_cumulative_per_million\n",
              "18031       BRA  ...                                     NaN\n",
              "132225      USA  ...                                     NaN\n",
              "57781       IND  ...                                     NaN\n",
              "131535      GBR  ...                                     NaN\n",
              "104002      RUS  ...                                     NaN\n",
              "128229      TUR  ...                                     NaN\n",
              "44757       FRA  ...                                     NaN\n",
              "\n",
              "[7 rows x 67 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Pie chart showing total cases (Population adjusted)\n",
        "fig1, ax1 = plt.subplots()\n",
        "ax1.pie(Recent_df['total_cases_per_million'], labels=Recent_df['location'], autopct='%1.1f%%',\n",
        "        shadow=True, startangle=90)\n",
        "ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.\n",
        "plt.title('Total cases per million based on most recent data')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 267
        },
        "id": "Yh8-PH5HJUtA",
        "outputId": "7bfe22c8-2ca8-40ab-cb70-5a93efe43f87"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig1, ax1 = plt.subplots()\n",
        "ax1.pie(Recent_df['new_cases'], labels=Recent_df['location'], autopct='%1.1f%%',\n",
        "        shadow=True, startangle=90)\n",
        "ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.\n",
        "plt.title('New cases')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 267
        },
        "id": "2OAjkB11QO-1",
        "outputId": "0710fc45-85e7-4b1f-c744-9a1ef3f90fd5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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1P07kha99rKkM7LfPP1f4SHUK82ZeX3rd5Ev448ePAvD4shd59qJ7mXXKzfz7y7kAPLjoWW4+/koMiflfiz+XFpfoJdSiRMz/NPY1Mwpt6UNT5Tc3TbZPMyS2s8nSsgDD0wyGphrYLcKlY2zMXeffb5+5631cfWSom/WcUSexcNsXKKWwGlaa/S00+zzYDCtba8rY6a7g+PyJZryUaGMA/yktLhlndiCaTtJ9yoxCmyPRzq2/muo4J84mcWbHY7YytyIv6dsf4dwkocy9f1dFWb0iLzm0j9Ww4nIkUNNcx0+O+z63vfUHHl78PDOPuoB7P32CXxRd16vxRzkX8KZeOMB8Okn3ETMKbQJcXjzVccXARENP5z1MYwaO4I2rHuW/lz3AtrqdDEhMRwE3zb2bW978HZWNe8wOMRoMBv6rl+Iyl37z+45p1060/Wj8QD2SY68cl7Cj/tuWc2m9Ise1/490TpKwoy60jz/ox93SSGrct/M2lFI8uOhZbp1yNX9d+DR3TruJy448j6c+n9M7LyL6nQT80uwgYplO0n3AjELbyPEDjdvOG2nVHaatHJ1jYWN1kC01QbwBxYurfcwotO63z4yRNv610gfA2+s+4YT8o2hdVvuVr9/l5KHHkRqXRLOvBUMEQ4Rmn6dXX0uUu6e0uGSy2UHEKlFKmR2D1oEZhbYUh4U//ONc5yUZ8bqb40DvbPRx27stBJTi2gl27jzRwV3zPUzOtjCj0IbHr7jytWYW7Yj3ZyZmWx+eMYvBKdkANPs8XP3KL3n+kvuwWaws2bGSO9+/H7vFxt/Pu4th6bqIYCsbgKNyZxc1mh1IrNFJOoqF+6Fv/tkU+7UnDrYeaXY8fdmaPddvTYo/v8DsOPq4J3NnF11vdhCxRnd3RLcpx+Vazpqar1f21qLCdXpR296nk3SUmlFoy0y084MfH20/Vq9NqEWRJ0qLS3Qhr16kk3QUmlFoswDX/t9xjmOSnRI1taGvndvMgD+7GftIw75tK8sDHP/PRsb9o4HzXmiivqXt7rP2pm9f8WoT4//RwB0ffnuj7veftvD6Ol/kXoh2ONKAe80OIpboJB2dph01yJg6KdsYbXYgrc2cYOPd78fvt+26N5uZfYqDr25K5LujrPx54cH1M9qbvr1qd4A4q7DqpkSW7QxQ51HscgdZUhbgO6N0MbYodmVpcckJZgcRK3SSjjIzCm2DgMtvmGSfEG3dHCcOtpIWt39IG6qDnDjYAsBpQ63MWes/6Lj2pm/bDGj2K4JK4QuAxYC75rdwzzRHr7we7ZAJ8HBpcYnF7EBigU7SUSQ8muPSi0dbBw9yGX2iPvSYTAtz14cS88trfPtNLtmrvenbR2RayIw3OOqxRs4baWXTniBBBUcN0r/7fcCRwE1mBxELdJKOLmMT7Uy+cLTtGLMD6aqnznfyyDIvkx5vwN0Cdkv3Gv9/O9PJlzcm8tMpDn4zv4XfnezgD5+2cMnLTTzxuTdCUWs95He6tkfk6SQdJWYU2uzAlTdNto+It0mfWcZoVIaF969M4PMfJnLZOCvDUg9O0l2Zvj13nY9JgwwavIrNNUH+e3E8r6z10eTT4/ijWArwJ7OD6O90ko4eJw1LNYZNybMcZXYg3VHRGEq+QaX4/adebpxsP2ifzqZv+wKKvy3x8osTHDT7Qh2eAIEgeAMHnU6LLleXFpfocgURZO18Fy3SZhTaUoGLfzjJVmgxJGo7ZC+b08THWwNUNSly73dzzzQHDV7Fw8tCw+UuOMLKNRNCozJ2uoNc94aHd66Ix2oID53t5IznmvZN3x4z4NuX+fAyL1cfaSPeJowfaNDkV4z7RwNnD7eS4oyqe6fawQS4C/iu2YH0V3paeBSYUWi7ZmS6cea9pzkujrYRHf2FnhYeUQqYmDu7aKXZgfRHurvDZOEhdydeM8E2UidorY8S4DdmB9Ff6SRtvrOGpIjjiExD1+fQ+rIL9HJbkaGTtIlmFNoGAFOvnWgfGevrFWp9nm5NR4hODOY6Iy9JHGMHGBPMDkTTesBFpcUlY8wOor/RSdokMwpt6cC0aybah0XziA5N6wYBfm52EP2NTtLmOS3RjnX8QN2K1vqVS0qLS1LMDqI/0UnaBDMKbcnAqZeOtWXYLaKrCWn9SRxwldlB9Cc6SZvjGMA4Ic8yyexANC0CfngoB4lIQES+bPVV0LNh9U06SfeycEH/s5oKEy3fzxrofwnnLr+eUaT1L2MOsd50s1JqQquvrXufkJCYzFcx9aJFpKHzvfbbf5qIvBV+PENEig83hhrDmNQgUlA3KXV0aXpczu+HDBh0THau+zZb0tatyuhWfJoWxW443BOISIGIrBeRZ4GvgTwR+YeILBeR1SJyT6t9t4rIPSLyhYh8JSKjwtsTReTp8LZVInJhePvpIvJZeP+XRSTxcOONlJhK0odDKfWGUmr24Z5nrd126vp4+4jmQXH7itL4nJakD3NTCs4bkpNwRlJm2XM4d/p061rr2y4uLS7p7tJvca26Ol4LbxsBPKKUGqOU2gbcqZSaDIwHThKR1pPAqpRSRwH/AH4W3vYboE4pNU4pNR74SEQygF8Dp4b3Xw7cfmgvM/JiMkmHW8gfi8grIrJORJ6X8JRsETkzvO0L4IJWx8wUkYfCj88TkSUiskJEPhCRLi3MmTQxKdlrGMONY1M3iMM4eNidiOxMj8v505AB2cfk5Db+xJ68dVPQcPfMq9a0XuUErujmMa27O/YWbNqmlFrcap9Lwr+bK4AxQOsl5l4N//s5UBB+fCrw8N4dlFI1wHHh4xaKyJfA1cDgbsbaa2K5Ct5EQv+TdwILgRNEZDnwBHAysAl4qZ1jFwDHKaWUiFwH/AL4aReueRRA/Ij4TqeA+x2WxE9ykhM/UUlqYE3Lzu/XudXlqmmQPUb75bQ+6WLgocM8R+PeByIyhFAL+WilVI2IPEPoj8FeexfYDNBxbhNgnlLqssOMrVfE8i/8UqVUqVIqCHxJ6C/vKGCLUmqjCnU3PNfOsbnAeyLyFaHB+53OskqamCTAaUac0WBLtQ3pcpQisjvNmX3fkMycY3Jym2+yp2xdF7TUd/l4TTPP1NLiki59yuyiJEJJuy786fWsLhwzD/jx3m9EJBVYTKhRNjy8LUFERvZgnD0qlpN062WtO/vLe6C/Aw8ppcYRukHi7GR/gBwgy3Wka5Ac4gzDgMOSsCAnqeDiodlJJ6cM3PUEcaWeoDp4UUFNiw4GPVhnWim1klA3xzrgP4Q+AXfm90CqiHwtIiuB6UqpSmAm8IKIrAI+I9RAi0qx3N3RlnVAgYgMU0ptBtr7OJQMlIUfX93Fc48BVNzguMLDjBFEqEx1DHowNZOHvcGmo6saKm71uFPGSkDP9NKizXeBR7uyo1Iq8YDvtwJjD9g2s51jC1o9Xg5MCz9uoI3fUaXUR8DRXYnLbLHckj6IUspDaCD+2+GbExXt7DoLeFlEPgequnj6qVios2XaRhx+pN8K2I34xdlJBZcNyU45KXVg+SMSt8MTVHrRKS1anFRaXBK1w9v6Ar0ySy9ImpiUAfw5YUyCyjgt45pIX8/wBpuPqmqsuKXZnTTR8Hd3GFS/pFdmMdUFubOLXut8N60tuiXdO0YBKn5I/PDeuFjQbsQtz3YNvmpYdmpR2sDdD0j8jkal/L1xbU1rw7lmB9CX6STdOyYDjfaB9mG9feHaZMfAJwsy8qbk5fmvdKZtWxq0Vvd2DFrMO9nsAPoynaQjLGlikh0YY022tlgSLYPMiiNoM5xfDkoc/INh2eknpGdV3GckbHcrfGbFo8WUgtLikiyzg+irdJKOvALAiB8Zn7t3VqPZ6pPsA54ZnJ5/Qn5u8PK4tG2LdOtai7wpZgfQV+kkHXmjAOXIcuSaHciBlNVwfJWVOPiGYdnpUzKyKv9kJGyvC+I1Oy4NAsEAZz79A2a+8ksAttfu5Lxnb2DqY5dx09y78Qba/xBUVr+bwvvP4NElLwBQ3VTLBc/9mFP+eTXvbijZt9+1c35Fuburg5MOm07Sh0gn6cibANTb0mw5vXlRb7WXLbO3sPGOjWy8YyNV7x/8yxhoDLDtwW1s/PVGvrx/R+aTloT8osG5nB9ILh39ZJNv7CMNvL7u22Rw/otN7HTruTO94Z/LX2F4+rflJP7fx49x3eRLWHDDC6Q4Xby46u12j/3thw8xfeix+76fu+YDvj/xfN666jH+ufxlAOZtWsjYgSPIcmVE7kXs7/jeulB/o5N0BCVNTLIB+QgNVpc1uzevLRYh69IsRvxxBEN/M5Q9H+7BU+bZb5/KNyuJy49jxO9HkHt9Lrue34WyGvZlW/y57nOybHHFw6puWeRv2aNoeXO9j4lZBtku/SMTabvqK/jom8+47MhzAFBKsXD7F5wz6iQALhp7Ju+1ahG39u6GEvJSBjEyo2DfNqvFSrPPQ0vAh8Uw8Af9/HP5y9x07OURfy2tTCotLrH35gX7C/0bF1mDACm02VNnvOfdVbjGX2HzBHvlZp0txUZcQRwAljgLjmwH/pr9R+F5dnpIOCIBAEe2A2+VF3+dHywQ9AZpdFoz9iTaHSfl5hrXLA56Jh2X2N7kHq0Hzfrw79wx7SaMcC2tmuY6khyJWI3QBOFBrkzKGw7+ZNTobeIfS/7D/50wc7/t3xl9Ku9vXMDlL93OT467kme/eJ0LxpxBnK0r1Qx6jAPQKxEdAj0tPJKUygFkWqNj0JWrLINZBUECqtrqr9mWHGzYOEiC6wsMxzdDLameBCNiax16K714tnmIGxa333ZnvpP6z+tJKEyg6ZsmfNU+fDU+Uo5LYcejO9jz8R6yLsmi+pMam/OUDNsdR6Q6f9foqz67uqHhx76GgZmG6tXf8ljwwaZFpCekMj6rkM+2r+jWsfcveJrrJl9Mgj1+v+1JjkT+dfG9ANR63Dyy+HmeuOD3/OJ/91LncfPDY77HpJyxbZ2ypx1HqE6G1g06SUfQ0HJOFsWUnAQjifAHPQORTL+kZlYbqZOrga9BEaDG4q/dlhRs2Jgl/vUFhmPTMCO12WU57CQY8ATY/tB2si7PwhK3f12nzHMy2fX8Ljb9ZhOOXAdxg+NAwBJvoeD2gtDxjQEq364k/+Z8yp4qI9AUSK8+MyN9zpAU/7Dq5u0/bKh3nC3enqx0FtOWl33FvI0Lmb95MS0BL+6WRu7+8EHqWxrwB/1YDSu73JVkJR7cl7xi11reWf8Jf/z4UepbGhARnFY7MydduG+fBxb+i5unXMncNR9ydO44zimcxvWv/Zrnv3dfb7y8qC1iFM10ko6g1EacQZg3KtHeYSUwQUgLSEpajZEysQZYC6CoM7z121yqftNAAusLxL5xmCW5IcUS39G5WlN+xY6HdpByfArJk5MPet4SZyH3utCgE6UUG362AfuA/bsNK96oIPPcTOoW1xE/Mp7ko5PZ/vftFPyswLp5QHz+LwfEc3eTv+aMKnf9T3wNA7IMFXfQhbQuKz7pBopPCq089dn2FTy29EX+ft5d3Pj6Xby97hPOH30Kr3z9LqePmHrQsa9e8W3p5vsXPEW8LW6/BL1lzw7K3ZUcnz+RNRWbcFiTEBE8/paDzhUhPVq3JlboJB0h010uG5BtQGmmxXpIBWaSg0bS+DqSxtcBGwAUbsPbsD1B1W0aqHzrBxu2TcMsKbXploQDj1VKUfZUGY5BDjLObPsOfqAxgDgEw2pQ80kNCYUJ+7W2W8pb8O3xkXhEIlU7qrDYQs8FvfuP8PDEW1Pn5qemzg2mBIZUN++4zl1vmyFePXmhB/1q2o38+I1Z/LnkScYOHMGl40M3Fd/fuIBV5ev5WdEPOj3HvZ8+yS9OvA6A8484letevYNHFj/PT4uujWjsregkfQh0gaUIme5yZQO/s0DpA9k5vzYiuKJKowQbdySouk2ZeDfki3XTMEvStjpP0pY/bsGR62DvHJqBFw3EVx26b5l2chpNm5oofaIUBJw5TnKuzcGS8G2S3v7wdgZeOBBHlgN/vZ9tD24j2BRkwHcHkHz0wS3z1uxN/tpTqxvqbvW5M7NFdbn1Hym6wFJUUEBC7uyiZrMD6Ut0ko6Q6S7XeODWfJutrnjAwP/r7es3SbC5LF7VbrITK/MAACAASURBVM5Q3vX5hmXjUMNVkW3tOLNGQlAF8/d4dl7rrrd8V3kGGSZNutRJOmqMy51d9LXZQfQlursjcpIBI9tmM6UQf7wy4kY0EjeiEc7cBpSAB1/LzrhgzeYMPBvyxLJhqOHalWMkYxiRy5yGGNsz4nJnZcTxx2Z/3bTqhtpbWxoy8o3gQV00WkwYDugk3Q06SUfOAMA3wGpNNzuQvZyIY2izJWvoDjhtB7AIvAS8u5y+mm/SlGd9nsjGoZaE0jwjTVl6PnF746zJ7+emJL8fTA7m1HjKZta75SLVPMgaJTVNtF6h+6W7SSfpyMkCWlItlt7vYugGO2If7LEMHLwTpu8EloCPgH+3w1fzTapq2pArsmGoJX57vpEWtBk9069uiFGWHpfzh/Q47vUE6ouqGmpubXGnDzWCegWP/q/A7AD6Gp2kI2cg4Ek2ojtJt8WGWHNbLJm55XBiObAcAgQCu+2+qi0pqmljjrBhiCVua4GR6ncYh/Uz5HNakj7KTU76SCWpQTUtZVfW1XOpas626dZ1f5VmdgB9jU7SETDd5RIgE6h2WYwks+PpCRbEku21ZGRXwAkVwAoIEAhW2XzVW5Np3JCN2jDEEvfNUCPV5zRs3b6AiOxKc+bcm+bk/pZAw5SqhurbPO7UEUawX7x/2j56seRu0kk6MhzhL79djH47ddqCGAN9lvSBVaQfWwV7p73vsfprth7GtHe/w5L4aU5y4qcqSQ2obdn5/Vp38ArVlG2P4DBGrdfoJN1NOklHRjKhMaFYofutyj7MQCTDL6kZ7U97D6wvMOxdmvYuIhWpzuz7U5084A00HlfZWHWrx516hBHQreu+Sy+M3E06SUeGg3CStojEVJJuS09Mew/YLQkLc5ISFioXGbXeXZfV1QeuCjRlOw3duu5jdEu6m3SSjox9idmqk3S7Opv2vi5f4jcNtaTUZVq/LSgiQlWqY9DfUzN5xBtsmlzVUHFLsztlvBHQv/x9g/7/1E06SUfGvsRsibHujsPlChqJY9wkjnHD+ZuAj6BBvI1b4wPe9RnK+k2uWLeOsBmVg6yOgN2IX5KdVHAFSaTVtpRfUuv2XRtozI4zxNLphTSzOEqLS5y5s4s8ne+qgU7SkdK6Ja1XozhMicpIGNtoJIxtBLYBC8Et3sAOp99TlkHjlnzDu2aY1fVoQUbW47605olVjbtvaXYnHyV+3f8ZneIAnaS7SCfpyLABIoCh3+OIcCnDMrrZnjB6BwnsABaCF6+30hms25Ju5T95aQ0PZQbrCsWf86O4Oj3mOrr4O99F20snkMiwA2KA6DkZvceOYc/xGFk5ZTC1LLTNg10ttyVUNY+1NY4f3PHxWq/RSbob9J3xyLABEgAVVEovr20iJ4jFkulYpRKTdjXs2mV2PBqgk3S36CQdGfve14D+gTTd8lFX+mzOPNdnlXMSvQFfry1DorUtd3ZRryzG3F/oJB0Z+34IA0rpH0gTLU0d73WkDE2327OSvKohYUn5B3rFc3MFzA6gr9FJOjL8QJDQf3RL2iTNYlOVhd9TAIZhNfwBo26nd1XetrqtpWbHFsP070M36SQdGftaz37dkjbNooLvVMQ5U/bVDPEGnQGAZdVz05p9nkbzIotpOkl3k07SkeEnPC08gNI/lCYoc2S2qLyi/Vbg9QUT4gAC4olfVP52rTmRxTz9vneTTtKR0apPGt2SNsHK0dfUGoZlv5mHhjVj3/+LKv+mnI0167b3fmQxr9zsAPoanaQjY1/ruSkYbDAzkFj0efqkGmfy4IEHbo+Ly9/vD+aKmneyGryN9b0XmQboYZDdpJN0ZOxLBu5gsM7MQGJNs9iCVYWXtjlJy+kc7Gr9vRKffcGuuU1KKdU70WnolnS36SQdGQ2AANQFArql1osWDrmg0maPd7X1nM3qcvoCwabW2+qCO7JWV6/U3R69RyfpbtJJOjLqCb+3ewJ+3ZLuJaXOAR5yp2Z0tI8vYHUfuG11/bzcWk/dnshFprWiuzu6SSfpCJjvdvsAN2Cv8uuWdG9ZdcQ1dYZhdFimNEDCwTMOJWhZUP5qMKiCegp/5OmWdDfpJB05VYBjl9+nk3QvWJ5xdK0zOf+gm4UHEkt6m/3Pjaoi48uKJbrbI/J2mh1AX6OTdORUAI6dPp87qG9MRVST2IPVIy/pUqF/q21Qu5UfNzZ+OriqqUpPG4+sdWYH0NfoJB05FYAjAKopGKwxO5j+bOHQ9m8WHsjpyEts90lBFu6eY/cH/Xpse2SU5s4u0pNZukkn6cipACwAewIB3Q8XIdudWR7JPSGzq/vb7dlJQaXaLfLjoTZl2e4S/ZE8MlaZHUBfpJN05NQQLrJU7vfrJB0hX4++pt4Qo8s/x4ZhiNdPhyNutjUvGbzTvVOPQuh5X5kdQF+kk3TklBMeK73d69W/8BGwLPPYGmdS7oDuHudXzqaOnhcRFle95vIGvHodvp6lk/Qh0Ek6cvYAXsC6rsWjW9I9rMlwBPeMvPiQVmJXktxp0SsfDYmflc+rPJTza+3SSfoQ6DUOI2S+262mu1xbgOydfn+tJxhsdBpGQm9d/85du/iksYE0i4U3hgwFYJ3Hwz27y2kKKnJsVu4dlE2i5eBBEadu3kSCYcEQsCK8XFAAwH2VFZQ0NDLK6WD2oGwA3qirozYQ4Kq0tN56aQAsHHpRhc0Wl3Uox1qsAy2hWwYdK/d+nbe1bnRpQfKQ3EO5jrYfP3pkxyHRLenI2gAkAtQEAr3a5fHd5GQez83bb9tdu8u5PXMAc4cM4RSXi6dq2p9k90xeHq8VDNmXoN2BAGs8Hl4fMgSbCBtaPHiCQV6rr+Oy1NRIvpSDbIvLbpac47rdzbGX3ZHj7Oq+y6vfSNe1p3vE6tzZRV6zg+iLdJKOrO2E3+Pdfn+vJunJ8fEkW/b/37vV62VyXBwAU+ITeN990AzpdhkCfqVQSuEJKqwIT+/ZwxUpqdh6eUX01UfMdHfnZuGBnI7ByV3dNyCeuIW69nRPmG92AH2VTtKRtYtw8f+1LZ4tJsfCcLuDDxtClVPfc7sp97XdNSsiXFe6g4u2buG/taH8lGBYODEhkQu2bSXDasFlsbDK08ypri4NT+4xSwccv8eZlHPIrWgAqzXB7gsEu9w6rvZvytmwZ62ejXh4PjI7gL5K90lHViWhYXiWpU1N2y9JTvFbREx7z3+flcUfK3bzaHUV0xNd2NppAD+Xl89Am41qv5/rSncw1G5ncnw8P0hP5wfp6QD8pnwXN2dk8kptLQubGil0OLgxvcPaRoet0XAEa0ZcaD+ku4UH8AWsbpsl2OV7BCtr38nKTsyvS7QndLkVroUopQIi8onZcfRVuiUdQfPdbj+wBkhpUSpQ4fdvMzOeoQ4HT+bl80rBEM5JSiLfbm9zv4G2UBpMt1o5JTGRVZ7m/Z5f4/GggAK7nffcbv6ancN2r4+t3sh2OS4cdnGFzRbX/ozBbgiQeHChpQ4ExW8vKX/No2tPd5+ILM+dXaRr2BwinaQj73MgAWCL17vZzECq/aHujaBSPFpdxSUpKQft0xQM0hgM7Hu8qLGJEQ7Hfvv8vaqSWzIy8CtFINSbgyHgiWARua1xOc2W7GMPq5ujNbF0v9VfHygb+HXVl6b+oe2jdFfHYdDdHZG3iXC/9EpP8zdTEnpnFN7PdpaxtKmJ2kCA6Zs38ZP0DJpUkP/UhMqInOZycUFS6JN7hd/Hb8rLeSw3j2q/n1t2lgGhG4XnJCVRlPBt4/UDt5sxTicDrKHW9iiHk/O3bGGkw8EoZ5cHTXTbmtHXNDjFiOup89lsg2wEv+n2cWvd8/LyXEOrU5zJ6T0VSwzQSfowiP70FlnTXS4DeIDQai0t9w/K/qnTMHrkI3usWDJgyp7G0Vf06EBsj2enm+YXD+muZ7wMqD47/+oUSye1qzVQSrWISGru7KLmzvfW2qK7OyJsvtsdBL4AUgF2+nzdb77FsAbDGawdcaGj8z27x27PcgWDqtOZh21pUhXpX1Yu3tHTMfVHIvKhTtCHRyfp3rESsAOs8njWmBxLn7Jo+CUVNpuzx/uIDMPAG+i40FJHNjWWDK5srNS1pzv3stkB9HU6SfeOva1n+bixYZNXBXXhni7YEp/bbBl0dKerrRwqv4o79BaeIAsr5zh07en2KaV8wFyz4+jrdJLuBfPd7lpgM5DiVSqw1etdbXZMfcHa0dc0iBgRm86oJOWQujv2alF1yUt3f6IrHLbvg9zZRXrBi8Okk3Tv+QhwASxratbVwDqxeODUamdiVpeL+R8Ki23gYd/42+FZnl/mLtOLBLRBRJ43O4b+QCfp3rOa0FA8Y1FT47amYFAP7m+H23AG6kdc0GPD7dpjt+f2yDUWV72W1OLXtadbCyrVCLxmdhz9gU7SvWS+211PaPmgdAVsamnRrel2LBp+aaXV6oiP9HWczvzknhiC6qcxcfHu96t6IKR+Q+DV3NlFHS6uoHWNTtK961MgDmBhU6NO0m34Jj6vyTpoUsRuFrZmtcTZfEHV0BPnKveuzt1S+01pT5yrPxCRZ8yOob/QSbp3rSVU/Nz6lcezu9rvLzM7oGgSULBu9DVNkbxZeCBfwNb1eq2d+LzmjYxmX3OPJP2+zB8MrM2dXaRnGfYQnaR70Xy32wMsBjIBljU3LTE3ouiyNOvEamfiwMiW0jtAkMQeqwoVoMW5YNdbMX+vwSLGfWbH0J/oJN37SghPbPmf273aEwzGfMsLoN4SF3CP+E7EbxYeyDiEQksd2RP4Jnv9njUxW4QpEAzU6FEdPavDJC0iBSLy9QHbZonIzzo5brKIPBh+PE1EpnQ3MBHZKiIH/Qa13i4ik0Rki4hMFJEZIlLc3eu0c+1pIvJWT5yrDZuAUiDZp1Twa49neYSu06d8NvzSit64WXggqz2n7Xqth2Fl7f+y3S0NhzybsY97JHd2kR7p0oMi0pJWSi1XSt0S/nYa0O0k3RkRGQ+8AnxPKbVCKfWGUmp2T1+np813uxXwFpAC8EZ93VJ/aGZWzNqcMLjJmjXpkBaVPVwOR16PF7tS4rctKH/dE1TBmKpeFlRBn8WwPGR2HP3NYSVpEflYRP4kIktFZIOIFIW3TxORt0SkALgR+D8R+VJEikQkU0TmiMiy8NcJ4WPSReR9EVktIk8CHd08OgJ4HbhSKbU0fPxMEXko/PgZEXlQRBaJyDciclF4uyEij4jIOhGZJyLvtHruzPD2L4ALWr3GNBF5XURWicji8B+HvZ8o/iUiJSKyTUQuEJF7ReQrEXlXRDpaQORLoAlwVgUCzRtbWr7s/rvfPwQUrB89s0mklxdKDLPbMl2BYLDHVyuoD5YNXF21Iqa6PQLB4Cu5s4vKzY6jv+mJlrRVKXUMcBtwd+snlFJbgUeBvyqlJiilSgiV7fyrUupo4ELgyfDudwMLlFJjCA2Cz+/gmnOBnyilFnSwzyBgKnAusLeFfQFQAIwGrgSOBxARJ/AEcB4wCWjdqrsHWKGUGg/cATzb6rlhwMnADOA5YL5SahzQDJzTXmDz3e4W4B1gAMDb7vpFwRitGbtk0LQqZ8KAXr1Z2Fqo0JIRkZt9a90f5tU011ZH4tzRRimlbBbrvWbH0R91lqTbSxytt78a/vdzQgmwM6cCD4nIl8AbQJKIJAInEkp0KKXeBjqa8/8BcJ2IdDSt93WlVFAptQbYO+52KvByeHs5365gPArYopTaGF4e6blW55kK/Dsc10dAuogkhZ/7X7iIzFeABXg3vP0rOn8vSoAAYP3G663d7PWu6GT/fqfOEh9oGD6jd1ZB6EDgcAotdUCJsiyomCOBYCAQifNHkxa/963c2UUx+4kwkjpL0tWE6yC3kga0nl21d624AF1b6cUAjgu3rCcopXKU6vaEgp+E/32kg31ar2EXqY/SLQBKqSDga7X+XZBO3ovwDMSPCP8B+W9t7ccBdWj1jfuqxSMuq7RaHb0+ouMgRkrEkmhTsCptReVn/XqSS1AFg06b46dmx9FfdZikw8lzl4icDKH+WeBMoKNuhgO5CRcWCnsfuHnvNyIyIfzwU+Dy8LazOPiPQ2vB8L6jROS33YhlIXBhuG96IKGbmgDrgAIRGRb+/rJWx5QAV4TjmgZUKaV66uPx+4T+gNjK/D73ao8nZsZNb0wsaLQOnNgrMws7Y7FmRXSFlU2NC/IrGit2R/IaZmr0Nr+QO7too9lx9Fdd6ZO+CvhNuHviI+AepVR3FlR9E/ju3huHwC3A5PCNuDWEbixCqO/3RBFZTajveHtHJ1VKeQj1Bc8QkR93MZY5hIa/rSHUpfEFUBc+1w+Bt8M3DlsXc58FTBKRVYT6tq/u4rU6Nd/trgb+R7gP/KW62gXeYLDfr2IRUMLGI2Y2m3Wz8EB2R25Eh/6JiCyqfNXpC/gju5y6CQLBgNflSPi52XH0ZzG3xqGIJCqlGkQkHVgKnBDunzbFdJfLBfwZqAU8V6akTjk+IeE0s+LpDQsHnVzVUnihaTcLD+QPePy+uoetkf6bkeeYtH1K9qkd3RDvc9wtjQ8c8dczbzM7jv4sFmccvhX+VFAC/M7MBA0w3+12E2rhh/qm62qXNAWD/XYiRK0lwd847DzTbxa2ZrU4rb6A6rEaHu3Z0fJ5fpm7tN/UnvYF/A0uR8Ldne+pHY6YS9JKqWnhG5ajlVLPmB1P2KdAPZDQolSgpLGh3xanWTzy8kqr1W7+zcID+II9V2ipI4urXktu8Xv7RZeWx+/5fe7son7boIgWXRmNoUXYfLe7ZbrL9SJwA9A4t75+1ZHOuCOzbLahZsfWkzYkDm20DThykNlxtCUoLh/UUlHfwHOLvx0NWd3QxBljR3LiyCH7tlXUN/DSspWU1tRz1tiRTBsVut/c4GnhmUWf0+z1cda4QsbmhIbbP71gORdMGktynBM/TQmLyt8tnZ47I7d3X2HPcrc0bnA5Ev9sdhyxIOZa0lFsGVBGaIgjz9XWvNmfposHlLBp9NWeKLlXeBDDElqpa0BSIrefXsTtpxdx26lTsVstjM3ZfxBKnN3G+RPHMK1wyH7bV2zfyfHD8rn11Kl8umELAKt37iY7JYnkOOe+/Sp8a3O/qd28I8IvKWICwWCwvqXhytzZRUGzY4kFOklHiflutx94GkgCLN94vbVLm5rmd3JYn/FZzilVzviMdLPjaI/Nlu04cNvGiirSE+JJS9h/8IfL6SA/LQVD9v/1sRgGPn8QfzCIIUIgGKRkwxamjxrGgT6veSOzqY/Wni5vqHz62EcuWmp2HLFCJ+koMt/t3gS8B2QDvFBbs3iP39/nbzTVWBP8TcPOabOQ0XMf/5nif13IH/77g33bvtj8Cb//77Xc/NipbKtc3+552zoW4PXFj/PHl6/j2Y++rbe1dMM85q+a0+65HI5814Hbvty+kwn52R28sv1NzM/m653lPP7JEk45YjiLNm1j0uAc7NaDh2EH8ToXlL/p7mujq9wtjbuthuVHZscRS3SSjj5zCd1EdAVAvVRX+0YwNKOxz1oy4ooqq8XubOu540aewY/P/n/7bctOK+D60+9h2KDxHZ63rWObWxrYUbWROy5+EovFSln1N3j9LSxe/x4njjm/3XM5HJkJgWBw3yxVfyDI6p27OTKv613ocXYb1xUdw22nTSUnNZk1uyoYnzuIl5et4l+LPmdr1f6VDmr8Wwb1pdrTSimqm2qumfTQd/vdeO9oppN0lJnvdjcBTwEZgHzl8exe6WnuzgzPqLI+cWijbcD4dsuQDs8eT7wzab9tWamDGZiS1+m52zpWxCAQDKCUwutvwWJY+XDlfzlp7HewWDq+T9660NK68gpyU5NxOQ/qBemSD9Zs5JQjhrNi+04KMtO49JgjeX/1hoP2W1X3v2x3S0PtIV2kl5U3VL0+9bHL/md2HLFGJ+no9DWwiHC3xzM1NZ9U+/19rv5DQAnfjJ7ZqzcLnfZ4xuQfw+w5N5Acn0acPYGtFWs5csjUTo8NqPh9xeq729XRWqW7kdomD8MHpOMLBDAAQfAFDv5ApCRgKyl/1RfttafrPQ0VHp/nKrPjiEU6SUeh8MIALwI+IMGnVPDJPdWv9LUp44tyTq1yxKf3+s3C0yZcyq8uepwLjr+Jt5Y/zbmTZ7Jo7dv8c95vefeL59o/0EgNALT4/WzYXcW4nG8/ACzatI1Fm0I9E/XNHn735od8umELH6zdxO/e/BCP79uBOP/7aj1njSsEYEJ+Nos2b+OBDxZQNLKgzcu6g7syv6r6osMyCGbyBXz+NZWbLi56/PJeGUuu7U+Pk45S893uuuku1+PA7cC2bT5f3Zvu+tcuSEq+PFqHsbW2x+ryNw87x2XmD9iOqo2gFANS8pi79J/85Jw/8e/591JRV8qA5IOHKVusWVYow2G18tvvnL7fc1OGD973OCnOyW/OO6Xd61415ah9j11OBzefckKnsa5zf5SXlzisKi0uNWqmy+/15a619130/M2fmh1HrNIt6Sg23+3+ktDiAHkAHzY0bPzK41loblRds3TkFVVWi+3QOnR7yFvLnuaco68J91GHuhoMEbz+ljb3d0S40FKHRBkLd88xoq329KbqbQseWfKfO8yOI5bpJB395hBavHYgwJN7qj+q9Puj9qMxwDrX8AZb5tgurVn49Ae/577Xb2Z33Q5+/dz3WLTuHVZuWcCvn/seW3ev4dH/3cFDb/8SgNrGKh5551cdHrvXyi0LyM8sJCUhg3hHIjnpw/jDy9fhC/jITT943DKAw5GbrEwcE9ekqtO+qIie2tNVTTW7P96y5Px5Gxf26dFFfV3MVcHri6a7XJnAb4FGoCHXZnPdnpF5g9MwoqpQEYBfCfOO++0eR1xamtmxHIq6yr/UOaxGslnXV0qp6QOvrRiYMMDUWtstfq93/jeLT73u1TtLzIxD0y3pPmG+210J/APIBCylPp/7hdqaF6JxJZdFuadX9tUEDeAP2hvNvL6IyGcVc+LMrD0dDAbV0tJVv9EJOjroJN1HzHe7VxFaEzIfYFlzc9mb9fWvRNMCtnusLl/L0LOSOt8zegUlyfR6KS3UJy3d/ZFpJXQ/3bb8X099/oounhQldJLuW+YCKwjfSHy/wb2+pLExaiYXLC28stpi8s3Cw2VYMqNi6Expy4r80vodZb193c+2r/j4X1+8+qN5GxdGzR//WKeTdB8SLsL0GKGlxQYBvFRXu2xVc7PpIz7WukY22DPHdOlmYTSz2bPtZsew15Lq11Nb/C29Njb+q/L1Kx9f9tKF8zYu7FPj8fs7naT7mPludzPwAKH6HukAj+2p/mCLt+Urs2LyY7B19FWmdxP0BKdjcNR01/hpil9U/m51b1xrc/X2LY8tffHceRsX7umN62ldp5N0HzTf7a4F7gcsQLICHqiqmrvL59tkRjyLcs+odMSldrS6e59ht6fF+4NBT+d79o4K37rcb2o3RbT29M763bv/teLV815f80HUDP/TvqWTdB813+3eRShRJwHxXqUC91ZWvFjm8x1cxSeCqqxJvpYhZ0RN67Mn+AKW+s736j2f17w5IFK1p3fWV1Q8u+L1i55aPmd1JM6vHT6dpPuwcP3phwlNdIlrCSXql7Z7vWt7K4Zl/eBm4YECKr7tKYkmCeJ1lOx6o8drT2+v3Vn+98+evfqhz57rs1UWY4FO0n3cfLf7C+DvhBJ1vE+p4F8qK17Z6vV+Helrr0kqdDsyR/f5m4UHCRdaiia1ga2D1u35usdqT2/es730Lwv+eWN5Q9V7PXVOLTJ0ku4H5rvdy4G/EZrskuCH4H2VFa9ubmlZGalr+jHYNvqqqJtM0xOstqyoLDz2Vf17OfUt7prO9+zYuspvtt2/4Onr3S2Nb+ihdtFPJ+l+IlyM6X5CIz4SA6D+WlU5d32L5/NIXG9h3pkVDmdKv7hZeCC7Iy/qptsDKALWkvJX/UEVPORaGl+Vb9j8t4XPzJy75oN3dYLuG3SS7kfmu91fAX8BUgFXENQDVVVvfdbYOK8nCwdVWpN93oIzUnrqfNEmXGgpKosKNQTLM1dVfn5Ioz2W7Fi5+m+LnrnirXXzP+7hsLQI0km6n5nvdq8B7gVchJI1/66tWfRafd2LPqV6pB7E8lFXVVss1qiZ9NHTLIbN8AaIqhEera1vmJ+3p3lPVVf39wcD/jmr3yt5dOkLV763oWRJJGPTep5O0v3QfLd7PfAHIAhkAXzQ0LDhierqfzYGg4e1nt7XyUfUOzJG9b+bhQcwu9BSh0QZC3a/agSCgU7vCTR6mxsfXvzc22+tm3/TvI0LV/RGeFrP0km6n5rvdm8jVN60jFBRJvm6xVPx58qKJw61HrUXQ+044sqo7AboadFQaKkjzao67fOKhR3W9ih3V1X88eN//PvLXWtvnrdxoR4H3UfpJN2PzXe7awh1fSwGCgBrhd/f9IeK3c9uOIQbiovyz650OJP7bV90a4ZlQNT/bnzTtGjw7obdbVbL+3r3hk2//ejvf9vprvjlvI0LIzpjUYusqP9B1A7PfLe7BXgSeJlQ9bw4r1KBv1VVvfVGXd1LLV1c3LbCluL1FZwWEwkawGbPjvoJOiLCoso58b6Ab9/kG38w4H9r3fwl9y146u5mf8tf5m1cGLV961rX6JVZYsh0l2sScCPgBSoBcqw21w/S0r6TZbMN7ejY/427tdyRPrLf90Xv5fXWNgcbn4ozO46uyHFM2D41+4z86qbayseXvbhgQ9XW+4BFeohd/6CTdIyZ7nJlAz8k1P1RCvgFuCIl9fhj4+NPsYhYDjzmq+Qx9ZUTf9Sv6nN0RUPVX5qtFiPqE7VSSrn8Ry1/Y03JEm/A98C8jQtNKbSlRYZO0jFoustlB84Lf+0hVPaUI53OrMtSUi9Mslgy9u7rxaI+PP73dQ5HUsx0dey1Z/dfd8fblalrDXam2RuoX7ujeWFFAVeOMAAACetJREFUne8t4DndvdH/6CQdw6a7XKOAGwiNqS4DlEPEckVK6tSJcXFTLSLW+fkzKtTQMwaYG6k5qnY/vj3R3pBvdhxtUUqpzRU1G9fuaN5lM+LvRHdv9Fs6Sce46S6XC/g+cDxQDjQBDIhPmXp2eu6Euqn3JFkMq83MGM1SVfnK1kTr9gKz4zhQY4u3YuGmbctLa+o+Bv61uqy8wuyYtMjRSVpjusslwNHAVUBcUKz17sSc033W+I+OGn7qgPFDppzutMXHXHdHbe3CMqdakmN2HHt5fP6ar8vKV6wqLd8MPAcsWF1WHhPj1mOZTtLaPuFW9XebHWnXNsdlqKDF8QmA3eq0njhmxpQhA8dMtRiWmGlVNzdvrxXPK6b/cfIFAo0byquWLt9aWhpQaiWh1nOXp4VrfZtO0tpBJmeNGt/iSL0QkQJgN+EukNTEAYnHFZ4xJTd9+ORYSNaBoD/YUvsAhogp8wkCwWDLlqqa5Yu/2b7V6w+UAS8Aq3TrObboJK21aVzBFAtwLHA5EE+ov9oLkByfEX9c4RnH52eMOKY/F1oCqKu8r8ZhlV4tyRpUKlBaU/fFZ5u3b2ps8VYCLwFLV5eV98v63VrHdJLWOjSuYEoCcBpwFmCjVbJ2xaXGHVd4xrGDMwuPtVpsThPDjJiq3Q+VJdq9vdIvrZRSu+sbvvps8/Z1NU3Ne4A5QMnqsvKoWs5L6106SWtdMq5giguYBpwDOAgl6xaABEeS47jCM48tGFB4jM3qiMqC+YeqsuLfW122yoJIXsMXCDSW1dSv+GL7ztLapuZG4C3gg9Vl5RFZfFbrW3SS1rol3LI+idBEGCehPmsPhOowH1lwQuGwQWMnpiUOGC5iiImh9og9e97bES+r8yJxbrenpXRzRfXnK0t3VQeCSoCPgHdWl5XvicT1tL5JJ2ntkIwrmBIPnACcDyQAdcC+WtXprkGuCUOmTsjNGD4hzp6QZlKYh83d8HWFzfd+j03m8QUCjeV17lVrdlZsLKutDwI+Qsn549Vl5W1WtNNim07S2mEZVzDFCRwJnAEMAQKEijeF+1GFI3InDS7MOeqozOTsURbj/7d3/6Fx33Ucx5/vu/xofvSuSdo0a8qSFbNN18RSZUpQ1A79Y46JOociBUUdVVEQh4KCChNBVkQn6h/bEMRV3caYoIMhhfnHKtS62tSU0nEmdEuWS5NL0sv9SO7H2z/e3+uutzRp7KX5tns/4Mvlrt/v9z4H6Sufe38/n8/3xrrQWCgu5EvpJ6+p3l5WLc1lsucSF1IjZyanF8qqTdg3kBeAE6MTU9m6NNbdlDykXV0M9g8LcAs2c/EjWO86C8wACtAQbYre2bu/79Ydtw/siPcOtDS1dW1ag9chPXM42xiNtK7nmNxyYTaVySYm59OJc8mZuaVisRX7A3Yc+Dvwqg+lc1fDQ9rV3WD/cCPwTuAAMBS8vIiVQy4F0y0dfR0Du9490NPRP7Cttas/Eok2XP/Wri2V/Hmytam86kJLxVIpN5/NjyUvLiYSF2YTM4tZgDggwDjwN2yMs18MdOviIe021GD/cCdwF3A3FtwRrEc5S3DBEaC5YUvDwK59fT0dt/Z2tHfvjrV09jY2NK2r97pRLiQfP7+1KX3ZQkvlcrm4uLQ8cSGdSZxPzSfGZ+bmFDqBKPbNYQz4JzACTI1OTK36H01EuoCjwdMe3iwbAdytq9xEWGzS0V9Ude/6P50LOw9pd90E9es9wCDwfqynCdbLvghcNlmjO7473tu5p6cr1rMz3rq9p70l3t3c2LItIpG3rHm9UcrlUmlq+rmz5eWzcjG/ND2XySaT6cx0ciF9Ue1u7JX1plNYKI8CY6MTU//3jWxF5EfAoqoevop9G4DdeEjftDyk3aYIatg9wB3Ae4ABbLKMYL3IxWArXX6ksK2tq62jvXtrvLUr1r4lHmtt3rq1pbk9tqWxNdbU0NwmEomKSCQikaggkeB5VCQSEZFouVwqFMuFXLFUyBdLhVyhuJwvlJZyy8Wl/HIxn8svZ7Oz6TcyE9PH35vOTRxRLUewGntb0EbFRmWMAK8ACWBmrd7y1aqENLAXC99ng9cXVbVdRD4MPALMAXcCHwv22ysie7BJMA9hfzh+BezArg98BVuSdgS4XVULIhIDTlWe16P9rr5CWQN0N7/T48cUeCPYXhrsH45gYdKL9bYHgD7eDMWIPerSfGZmaT4zMw9MU1XjvkYNwXttwXrHjeViKoeWb8PKMq8B/8LqyxPA65s8TXs/sFdVx4JyByJyB/BH4AuqekpEjgKHVPVVEXkf8GtVPSAiL2GTkp4HPgs85wEdXh7SLhROjx8rY8PSkljvtNLb7gR2AtuALqAb2B5su7Dwrg1qwYJdgq36Na36N6r2yQNpLIRfByYl0vaYljKvAakQjsQ4rqpjVc93AH8GPqWqZ0SkHRgGnhG5NKeocnPdJ4DvYCH9RayH7ULKQ9qFVtDbng22twhCvA2IBY9RLLSjNT9XHgtYGOdqHvOnx4+Vas8fAkWs7YitxFc9xry25r0AnAc+AJwJjptX1X21J1XVl0WkPyibRFX1PxvQdlcnHtJuRSJSAk5jvyNjwEFVnV/9qKs+9xPAz1T1zLWcJwjxSu36ZjSO1eufBu7HyjFXsgx8EngxqF0fEZExEfmMqj4j1p0eUluPGuB3wBGstu1CbFPWyXU3hJyq7gtGDKSAr9frxKr65WsN6LeJx4EPicgpbJLQqiNGVDUD3Ad8S0TuBz4PfCk4fhSbwl/xFDY65Q8b0XBXPz66w62oMpIg+PkQ1gv7WnDR6WFVPSEi24ETqtovIncBv8W+kkeATwOTWC9wN1ZueERV/1Rzjt9gt+5qAZ5V1R9e30/69iQiDwCfUNWDm90Wtzovd7hViUgUuAd4co1dDwG/UNWnRKQJC+V7gUlV/XhwrvgKx31fVVPB+xwVkSFVHanjR3A1ROSX2Prg9252W9zavNzhrqRFRP6NrRu9E5vWvJp/AN8Tke8Cfaqaw2raHxWRn4rIB1V1YYXjHhSRV4CT2MzEd9XvI7iVqOo3VPUdqnpus9vi1uYh7a4kF4wM6MOGqFVq0pdGHGBjigFQ1SPYxa0c8IKIHAhCYD8W1j8WkR9Uv4GI3AY8DNyjqkPAX6vP6ZzzkHZrUNUs8E3g28EU5HFsxAHAA5X9gplu/1XVx7DxukMisgvIqurvgUexwK4Wwy6GLYjITuwruHOuitek3ZpU9aSIjACfAw4DT4vIQ1jPt+JB4KCIFLASyU+wC4KPikhlcfuv1pz3lIicBM5iM/pe3vAP49wNxkd3OOdciHm5wznnQsxD2jnnQsxD2jnnQsxD2jnnQsxD2jnnQsxD2jnnQsxD2jnnQsxD2jnnQux/V5fdyimVEqQAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "LLZore0lKUze"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "USA=df.loc[df['iso_code'] == 'USA']"
      ],
      "metadata": {
        "id": "DwVrR3glogFU"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "USA.head(-5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 617
        },
        "id": "3tU_73bDn0vt",
        "outputId": "1b8152f2-f098-434f-9b82-c4d7dd0a7c95"
      },
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              "      <td>1591207.0</td>\n",
              "      <td>668775583.0</td>\n",
              "      <td>2008.847</td>\n",
              "      <td>4.780</td>\n",
              "      <td>1080013.0</td>\n",
              "      <td>3.244</td>\n",
              "      <td>0.0762</td>\n",
              "      <td>13.1</td>\n",
              "      <td>tests performed</td>\n",
              "      <td>467007018.0</td>\n",
              "      <td>235139886.0</td>\n",
              "      <td>197052820.0</td>\n",
              "      <td>43795908.0</td>\n",
              "      <td>1758213.0</td>\n",
              "      <td>1015793.0</td>\n",
              "      <td>140.66</td>\n",
              "      <td>70.82</td>\n",
              "      <td>59.35</td>\n",
              "      <td>13.19</td>\n",
              "      <td>3060.0</td>\n",
              "      <td>260251.0</td>\n",
              "      <td>0.078</td>\n",
              "      <td>50.46</td>\n",
              "      <td>332915074.0</td>\n",
              "      <td>35.608</td>\n",
              "      <td>38.3</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>19.1</td>\n",
              "      <td>24.6</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.77</td>\n",
              "      <td>78.86</td>\n",
              "      <td>0.926</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>131798</th>\n",
              "      <td>USA</td>\n",
              "      <td>North America</td>\n",
              "      <td>United States</td>\n",
              "      <td>2021-12-01</td>\n",
              "      <td>48698971.0</td>\n",
              "      <td>138505.0</td>\n",
              "      <td>86176.000</td>\n",
              "      <td>782522.0</td>\n",
              "      <td>1961.0</td>\n",
              "      <td>909.714</td>\n",
              "      <td>146280.463</td>\n",
              "      <td>416.037</td>\n",
              "      <td>258.853</td>\n",
              "      <td>2350.515</td>\n",
              "      <td>5.890</td>\n",
              "      <td>2.733</td>\n",
              "      <td>1.29</td>\n",
              "      <td>13675.0</td>\n",
              "      <td>41.077</td>\n",
              "      <td>53342.0</td>\n",
              "      <td>160.227</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1441041.0</td>\n",
              "      <td>670216624.0</td>\n",
              "      <td>2013.176</td>\n",
              "      <td>4.329</td>\n",
              "      <td>1053468.0</td>\n",
              "      <td>3.164</td>\n",
              "      <td>0.0818</td>\n",
              "      <td>12.2</td>\n",
              "      <td>tests performed</td>\n",
              "      <td>468939854.0</td>\n",
              "      <td>235583233.0</td>\n",
              "      <td>197420338.0</td>\n",
              "      <td>44929505.0</td>\n",
              "      <td>1932836.0</td>\n",
              "      <td>1108255.0</td>\n",
              "      <td>141.24</td>\n",
              "      <td>70.96</td>\n",
              "      <td>59.46</td>\n",
              "      <td>13.53</td>\n",
              "      <td>3338.0</td>\n",
              "      <td>267766.0</td>\n",
              "      <td>0.081</td>\n",
              "      <td>NaN</td>\n",
              "      <td>332915074.0</td>\n",
              "      <td>35.608</td>\n",
              "      <td>38.3</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>19.1</td>\n",
              "      <td>24.6</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.77</td>\n",
              "      <td>78.86</td>\n",
              "      <td>0.926</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>131799</th>\n",
              "      <td>USA</td>\n",
              "      <td>North America</td>\n",
              "      <td>United States</td>\n",
              "      <td>2021-12-02</td>\n",
              "      <td>48837404.0</td>\n",
              "      <td>138433.0</td>\n",
              "      <td>101275.286</td>\n",
              "      <td>786323.0</td>\n",
              "      <td>3801.0</td>\n",
              "      <td>1397.000</td>\n",
              "      <td>146696.283</td>\n",
              "      <td>415.821</td>\n",
              "      <td>304.208</td>\n",
              "      <td>2361.933</td>\n",
              "      <td>11.417</td>\n",
              "      <td>4.196</td>\n",
              "      <td>1.30</td>\n",
              "      <td>13771.0</td>\n",
              "      <td>41.365</td>\n",
              "      <td>53583.0</td>\n",
              "      <td>160.951</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1346913.0</td>\n",
              "      <td>671563537.0</td>\n",
              "      <td>2017.222</td>\n",
              "      <td>4.046</td>\n",
              "      <td>1139669.0</td>\n",
              "      <td>3.423</td>\n",
              "      <td>0.0889</td>\n",
              "      <td>11.3</td>\n",
              "      <td>tests performed</td>\n",
              "      <td>470864758.0</td>\n",
              "      <td>236007059.0</td>\n",
              "      <td>197767406.0</td>\n",
              "      <td>46094232.0</td>\n",
              "      <td>1924904.0</td>\n",
              "      <td>1380041.0</td>\n",
              "      <td>141.82</td>\n",
              "      <td>71.08</td>\n",
              "      <td>59.57</td>\n",
              "      <td>13.88</td>\n",
              "      <td>4157.0</td>\n",
              "      <td>327263.0</td>\n",
              "      <td>0.099</td>\n",
              "      <td>NaN</td>\n",
              "      <td>332915074.0</td>\n",
              "      <td>35.608</td>\n",
              "      <td>38.3</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>19.1</td>\n",
              "      <td>24.6</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.77</td>\n",
              "      <td>78.86</td>\n",
              "      <td>0.926</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>131800</th>\n",
              "      <td>USA</td>\n",
              "      <td>North America</td>\n",
              "      <td>United States</td>\n",
              "      <td>2021-12-03</td>\n",
              "      <td>48991100.0</td>\n",
              "      <td>153696.0</td>\n",
              "      <td>115902.000</td>\n",
              "      <td>787855.0</td>\n",
              "      <td>1532.0</td>\n",
              "      <td>1576.857</td>\n",
              "      <td>147157.951</td>\n",
              "      <td>461.667</td>\n",
              "      <td>348.143</td>\n",
              "      <td>2366.534</td>\n",
              "      <td>4.602</td>\n",
              "      <td>4.737</td>\n",
              "      <td>1.29</td>\n",
              "      <td>13889.0</td>\n",
              "      <td>41.719</td>\n",
              "      <td>54412.0</td>\n",
              "      <td>163.441</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1080773.0</td>\n",
              "      <td>672644310.0</td>\n",
              "      <td>2020.468</td>\n",
              "      <td>3.246</td>\n",
              "      <td>1187954.0</td>\n",
              "      <td>3.568</td>\n",
              "      <td>0.0976</td>\n",
              "      <td>10.2</td>\n",
              "      <td>tests performed</td>\n",
              "      <td>472981872.0</td>\n",
              "      <td>236456945.0</td>\n",
              "      <td>198185305.0</td>\n",
              "      <td>47353489.0</td>\n",
              "      <td>2117114.0</td>\n",
              "      <td>1521488.0</td>\n",
              "      <td>142.46</td>\n",
              "      <td>71.22</td>\n",
              "      <td>59.69</td>\n",
              "      <td>14.26</td>\n",
              "      <td>4583.0</td>\n",
              "      <td>347675.0</td>\n",
              "      <td>0.105</td>\n",
              "      <td>NaN</td>\n",
              "      <td>332915074.0</td>\n",
              "      <td>35.608</td>\n",
              "      <td>38.3</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>19.1</td>\n",
              "      <td>24.6</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.77</td>\n",
              "      <td>78.86</td>\n",
              "      <td>0.926</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>131801</th>\n",
              "      <td>USA</td>\n",
              "      <td>North America</td>\n",
              "      <td>United States</td>\n",
              "      <td>2021-12-04</td>\n",
              "      <td>49052287.0</td>\n",
              "      <td>61187.0</td>\n",
              "      <td>121102.857</td>\n",
              "      <td>788362.0</td>\n",
              "      <td>507.0</td>\n",
              "      <td>1619.571</td>\n",
              "      <td>147341.742</td>\n",
              "      <td>183.792</td>\n",
              "      <td>363.765</td>\n",
              "      <td>2368.057</td>\n",
              "      <td>1.523</td>\n",
              "      <td>4.865</td>\n",
              "      <td>1.27</td>\n",
              "      <td>13952.0</td>\n",
              "      <td>41.909</td>\n",
              "      <td>54514.0</td>\n",
              "      <td>163.747</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>659322.0</td>\n",
              "      <td>673303632.0</td>\n",
              "      <td>2022.449</td>\n",
              "      <td>1.980</td>\n",
              "      <td>1156178.0</td>\n",
              "      <td>3.473</td>\n",
              "      <td>0.1047</td>\n",
              "      <td>9.5</td>\n",
              "      <td>tests performed</td>\n",
              "      <td>474259443.0</td>\n",
              "      <td>236731093.0</td>\n",
              "      <td>198570310.0</td>\n",
              "      <td>47975897.0</td>\n",
              "      <td>1277571.0</td>\n",
              "      <td>1585428.0</td>\n",
              "      <td>142.85</td>\n",
              "      <td>71.30</td>\n",
              "      <td>59.81</td>\n",
              "      <td>14.45</td>\n",
              "      <td>4775.0</td>\n",
              "      <td>355374.0</td>\n",
              "      <td>0.107</td>\n",
              "      <td>NaN</td>\n",
              "      <td>332915074.0</td>\n",
              "      <td>35.608</td>\n",
              "      <td>38.3</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>19.1</td>\n",
              "      <td>24.6</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.77</td>\n",
              "      <td>78.86</td>\n",
              "      <td>0.926</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>683 rows × 67 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       iso_code  ... excess_mortality_cumulative_per_million\n",
              "131119      USA  ...                                     NaN\n",
              "131120      USA  ...                                     NaN\n",
              "131121      USA  ...                                     NaN\n",
              "131122      USA  ...                                     NaN\n",
              "131123      USA  ...                              -26.997876\n",
              "...         ...  ...                                     ...\n",
              "131797      USA  ...                                     NaN\n",
              "131798      USA  ...                                     NaN\n",
              "131799      USA  ...                                     NaN\n",
              "131800      USA  ...                                     NaN\n",
              "131801      USA  ...                                     NaN\n",
              "\n",
              "[683 rows x 67 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "USA.count()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Tw9V_ahcpyH4",
        "outputId": "05180421-492f-457a-b1de-0b643c27ce0c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "iso_code                                   688\n",
              "continent                                  688\n",
              "location                                   688\n",
              "date                                       688\n",
              "total_cases                                688\n",
              "                                          ... \n",
              "human_development_index                    688\n",
              "excess_mortality_cumulative_absolute        92\n",
              "excess_mortality_cumulative                 92\n",
              "excess_mortality                            92\n",
              "excess_mortality_cumulative_per_million     92\n",
              "Length: 67, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print('There are',len(USA.columns), 'unique columns')\n",
        "print(USA.columns)"
      ],
      "metadata": {
        "id": "3iFpR-OCkUUE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9ff5c623-2699-4796-a284-a1eac92d2568"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "There are 67 unique columns\n",
            "Index(['iso_code', 'continent', 'location', 'date', 'total_cases', 'new_cases',\n",
            "       'new_cases_smoothed', 'total_deaths', 'new_deaths',\n",
            "       'new_deaths_smoothed', 'total_cases_per_million',\n",
            "       'new_cases_per_million', 'new_cases_smoothed_per_million',\n",
            "       'total_deaths_per_million', 'new_deaths_per_million',\n",
            "       'new_deaths_smoothed_per_million', 'reproduction_rate', 'icu_patients',\n",
            "       'icu_patients_per_million', 'hosp_patients',\n",
            "       'hosp_patients_per_million', 'weekly_icu_admissions',\n",
            "       'weekly_icu_admissions_per_million', 'weekly_hosp_admissions',\n",
            "       'weekly_hosp_admissions_per_million', 'new_tests', 'total_tests',\n",
            "       'total_tests_per_thousand', 'new_tests_per_thousand',\n",
            "       'new_tests_smoothed', 'new_tests_smoothed_per_thousand',\n",
            "       'positive_rate', 'tests_per_case', 'tests_units', 'total_vaccinations',\n",
            "       'people_vaccinated', 'people_fully_vaccinated', 'total_boosters',\n",
            "       'new_vaccinations', 'new_vaccinations_smoothed',\n",
            "       'total_vaccinations_per_hundred', 'people_vaccinated_per_hundred',\n",
            "       'people_fully_vaccinated_per_hundred', 'total_boosters_per_hundred',\n",
            "       'new_vaccinations_smoothed_per_million',\n",
            "       'new_people_vaccinated_smoothed',\n",
            "       'new_people_vaccinated_smoothed_per_hundred', 'stringency_index',\n",
            "       'population', 'population_density', 'median_age', 'aged_65_older',\n",
            "       'aged_70_older', 'gdp_per_capita', 'extreme_poverty',\n",
            "       'cardiovasc_death_rate', 'diabetes_prevalence', 'female_smokers',\n",
            "       'male_smokers', 'handwashing_facilities', 'hospital_beds_per_thousand',\n",
            "       'life_expectancy', 'human_development_index',\n",
            "       'excess_mortality_cumulative_absolute', 'excess_mortality_cumulative',\n",
            "       'excess_mortality', 'excess_mortality_cumulative_per_million'],\n",
            "      dtype='object')\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "USA.dtypes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pZ5FDNuTnfOA",
        "outputId": "d7afbd84-3178-44b9-febf-29b12b23c6c0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "iso_code                                    object\n",
              "continent                                   object\n",
              "location                                    object\n",
              "date                                        object\n",
              "total_cases                                float64\n",
              "                                            ...   \n",
              "human_development_index                    float64\n",
              "excess_mortality_cumulative_absolute       float64\n",
              "excess_mortality_cumulative                float64\n",
              "excess_mortality                           float64\n",
              "excess_mortality_cumulative_per_million    float64\n",
              "Length: 67, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "percent_missing_ft = USA.isnull().sum(axis=0)/USA.shape[0]\n",
        "\n",
        "percent_missing_ft=percent_missing_ft.sort_values(ascending=False)\n",
        "\n",
        "percent_missing_ft.head(30)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AynL9ZBhpdje",
        "outputId": "da8c0673-2bfe-4bb8-c3f5-e300d65934b6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "handwashing_facilities                        1.000000\n",
              "weekly_icu_admissions_per_million             1.000000\n",
              "weekly_icu_admissions                         1.000000\n",
              "weekly_hosp_admissions_per_million            0.895349\n",
              "weekly_hosp_admissions                        0.895349\n",
              "excess_mortality_cumulative_per_million       0.866279\n",
              "excess_mortality                              0.866279\n",
              "excess_mortality_cumulative_absolute          0.866279\n",
              "excess_mortality_cumulative                   0.866279\n",
              "total_boosters_per_hundred                    0.827035\n",
              "total_boosters                                0.827035\n",
              "new_vaccinations                              0.475291\n",
              "new_vaccinations_smoothed_per_million         0.475291\n",
              "new_people_vaccinated_smoothed                0.475291\n",
              "new_people_vaccinated_smoothed_per_hundred    0.475291\n",
              "new_vaccinations_smoothed                     0.475291\n",
              "people_fully_vaccinated                       0.473837\n",
              "people_fully_vaccinated_per_hundred           0.473837\n",
              "people_vaccinated_per_hundred                 0.473837\n",
              "people_vaccinated                             0.473837\n",
              "total_vaccinations                            0.473837\n",
              "total_vaccinations_per_hundred                0.473837\n",
              "icu_patients                                  0.254360\n",
              "hosp_patients_per_million                     0.254360\n",
              "hosp_patients                                 0.254360\n",
              "icu_patients_per_million                      0.254360\n",
              "tests_per_case                                0.074128\n",
              "new_tests_smoothed_per_thousand               0.074128\n",
              "new_tests_smoothed                            0.074128\n",
              "positive_rate                                 0.074128\n",
              "dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Deadliest_Days=USA[['date','new_deaths']]\n",
        "Deadliest_Days=Deadliest_Days.dropna()\n",
        "Deadliest_Days.sort_values(by='new_deaths',ascending=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "V2oPfE38vxlQ",
        "outputId": "146cc89e-d335-4291-c69d-51c5497f6992"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>new_deaths</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>131483</th>\n",
              "      <td>2021-01-20</td>\n",
              "      <td>4442.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>131475</th>\n",
              "      <td>2021-01-12</td>\n",
              "      <td>4389.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>131471</th>\n",
              "      <td>2021-01-08</td>\n",
              "      <td>4189.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>131484</th>\n",
              "      <td>2021-01-21</td>\n",
              "      <td>4137.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>131490</th>\n",
              "      <td>2021-01-27</td>\n",
              "      <td>4128.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>131160</th>\n",
              "      <td>2020-03-03</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>131166</th>\n",
              "      <td>2020-03-09</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>131162</th>\n",
              "      <td>2020-03-05</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>131157</th>\n",
              "      <td>2020-02-29</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>131158</th>\n",
              "      <td>2020-03-01</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>650 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "              date  new_deaths\n",
              "131483  2021-01-20      4442.0\n",
              "131475  2021-01-12      4389.0\n",
              "131471  2021-01-08      4189.0\n",
              "131484  2021-01-21      4137.0\n",
              "131490  2021-01-27      4128.0\n",
              "...            ...         ...\n",
              "131160  2020-03-03         1.0\n",
              "131166  2020-03-09         1.0\n",
              "131162  2020-03-05         1.0\n",
              "131157  2020-02-29         1.0\n",
              "131158  2020-03-01         0.0\n",
              "\n",
              "[650 rows x 2 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Stringecy_Index=USA[['date','stringency_index']]\n",
        "Stringecy_Index=Stringecy_Index.dropna()\n"
      ],
      "metadata": {
        "id": "VjH3feq1z9tx"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Deadliest_Days.hist(column='new_deaths')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 316
        },
        "id": "AyY_PjB9wgXL",
        "outputId": "20746ef8-f383-4bd8-ff51-ca30ffe6f6cf"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f869ef27190>]],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "USA=USA.drop(['handwashing_facilities','weekly_icu_admissions_per_million','weekly_icu_admissions'],axis=1)"
      ],
      "metadata": {
        "id": "CxXfQT33szud"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#If anyone knows how to bin the dates at the bottom lmk\n",
        "sns.lineplot(data=USA,x='date',y='new_cases_smoothed')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "id": "d2Xx9nKXqCfW",
        "outputId": "0567efb1-e2d6-47d8-e50d-008af6a7ac6a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f869e3a4e90>"
            ]
          },
          "metadata": {},
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.lineplot(data=USA,x='date',y='new_deaths_smoothed')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "id": "Vpp6sx1GqvkR",
        "outputId": "5c344cda-2bf3-4494-c956-78f8768a9d7c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f869d652d90>"
            ]
          },
          "metadata": {},
          "execution_count": 15
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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fAaWA2DdjjMnt7xpjzBv2eb09N8A1NwM393H8uYGuUyqR3t5TD0B+H2tk8jJc+AJB9jd0MH/ikPNnhiTD5cTnDxIIGpwOXbSpklM0PZqfAx8zxmyPV2OUSkWBoOHZ9w+Rk55GVh/zL7kZ1p9Zc2d3zHs0of1uvP4Ame5ol8UpNTqiSQao1iCj1NEONnXi8wf57gXH9FkKpiirJ7jMKB5ysuaQ9N7vRqlkNJT9aD5h310nIo8CfwXCm2CEMsmUGq9CpWfmlGb3+fzskp7gMn9C7IfOoKc6tFLJaCh97Y9F3O8Azol4bAANNGpc++3Lu8lyO/udf5keUZJm7oS+g9FweXrtd6NUMhrKfjRXAojIqcaYNyOfE5FT49UwpVJBY7uPD6pb+cbZ88j19F3DzJ3m4KrTZrJwUm7M51Eyeu3gqVQyiua3/jbguCEcU2rc2FzVDMDxM44uPRPp+xcujMv7e1xHbqymVDIayhzNycApQImIfD3iqVysNS1KjVvlNW1A7OdehipDkwFUChhK1pkbyMYKSjkRtxbgU/FrmupLo+49klR217aRl+GK2WZm0fLo0JlKAUOZo3kVeFVE7jPG7LMLZGKMaYt769QR7nxtN7c8t4O/fe10jpnU7zpZNYoONHQwozgrYTtcejTrTKWAaNbR5IjIRmArsFVE1ovIsXFqlwKMMRxs6iQQNPzw6a3c8twOAF75QLdASBYtnd191jcbLaECnTp0ppJZNMkAdwJfN8a8DCAiq+xjp8ShXQp4a3c9n//9uyyanHvE5labK5sS2CoVqc3rp6wgNhuZDUe2ncXWroFGJbFoAk1WKMgAGGNeiWZPGhW97Yes4BIKMsXZ6TgdUNvqHegyNYravQGy0xNX+iUr3erRtGphTZXEohk62yMi3xeRGfbtBmBPvBo23gWDhnveqDji2JrvnsWJM4uoa9NAkyzavX6yEhho0pwOMt1O2rr8CWuDUoOJJtB8CSjBqgTwhH3/S/FolII3d9dx0N5n5PzFE/n155bjcAglOenao0kSxhjafP6E9mgAstPTaPNagWZLVTO3v7I7oe1Rqrch/4UYYxqB/xCRHOuhZp3F0+ZKayHg5SdP56bVPTkXJTnptPsCCf8mraDDF8AYEv7/IcfeKhrg3/+4kYq6di5YPIlpRbHbMlqpkRhyj0ZEFttZZ1vQrLO421zZxIyizCOCDECRvV6jQdfTJFy73YtIdKDJ9rhotdsS+v14bZdmJibKHa/uDs+vKks0Q2d3YGWdTTfGTAe+gZV1puLgvQPNLJ2af9Tx0MZazZ06+ZtooeGq7PTEFsjISU+jrevIHT731rUnsknjzu2v7OaW57ZzoKGDn/xtB1+8d02im5RUNOssCdW1eTnc0sXisryjngt9kDR1aKBJtHavlVKcnZ64dTRgDZ0dbrHm81o6reC3r6EjkU0aV2pauvjZ3601bg+8vReA6hadR42kWWdJ6FCT9aExtfDoMfZ8e3FgY4cOnSVaW3joLLE9msIsd3goNdTT3V+vgWa07InoPYa2axABn1+3bgjRrLMkVNNqBZoJuZ6jnssL9Wh06CzheobOEjtHU5KTTkO7j+5AsCfQNHRgjElou8aLysZOAFbOKATgkhOmYgxU271MFUWgMcY0GmP+wxhznH37mp2J1i8RmSoiL4vINhHZKiJfs48XisgLIrLL/llgHxcR+ZWIlIvIZhE5LuK1rrDP3yUiVwz3H5wKQt3uCblH7y8fKnfSrD2ahEuWZIDibOv3pL7NR3NnN+40B53dAU2DHyWVjR2IwANXreTZ/ziNC5ZMAuBQswaakGiyzlaIyBMissEOAptFZPMgl/mBbxhjFgInAdeKyELg28BLxpi5wEv2Y4CPAnPt29XA7fZ7FwI3AicCK4EbQ8FpLKpu6UKk5wMkUnqak5z0NB0DTgLJ1KMBONDYQWd3gGV2Esl1j27C69fSNPFkjOH5rdXMKs7C43KyaHIek/KskkQHmzoT3LrkEc3Q2UPAfcAnsbZ3Dt36ZYw5ZIzZYN9vBbYDZcBq4H77tPuBi+z7q4EHjOUdIF9EJgHnAi8YYxrsXtQLwHlRtD2l1Ld7yc9w4XL2/b9nUVku72m9s4RLlh5NKNBss0sVfXheCWDVynuzvC5h7RoPfvfqHrYfauHi5WXhY1MKMhCBvfWa+RcSTaCpNcY8ZYypMMbsC92GerGIzACWA+8CE4wxh+ynDgMT7PtlwIGIyyrtY/0d7/0eV4vIOhFZV1ubuusImjq6w2nMfVk5o5DNlc1sOqDBJpHavX5EINOV2GSAGUVW8uf6fdZI9vwJOXx2xVRAkwLiaUtVMz/7+w4WTsrlmlVzwsc9LidTCjLYU6uBJiSaQHOjiPxeRC4VkU+EbkO50N7D5nHgOmPMESuZjDVjGZNZS2PMncaYFcaYFSUlJbF4yYRoHqT0/FWnzyI9zcFTmw6OYqtUb23eAFnuNByOxOxFE1KY5SY/08W6vQ0AFGW7+eknF5PjSaO8Vgt4xMsja/cDhMtDRZpVnM1T7x0M/z8Z76IJNFcCy7CGrELDZhcOdpGIuLCCzEPGmCfsw9X2kBj2zxr7eBUwNeLyKfax/o6PSVaPpv9Ak5fhYumUfDYeGDAXQ8VZm7c74anNITOLs8K18Yqz0xERphRkclgnpONmbUUjZ8wvYVZJ9lHPfeXDs8nPdHHzc9sT0LLkE02gOcHuLVxhjLnSvg2Y3izWtoN3A9uNMb+MeOopIJQ5dgXwZMTxy+3ss5OAZnuI7XngHBEpsJMAzrGPjUlNnb7wepn+LJ+ez9aqFp3sTaDO7iCZ7uSoNzer2PqwS7MLrwIUZrm0VFGcGGOobOxgWh9r3QBOnl3Ex5dOpry6TdPMiS7QvGVnjEXjVOAy4EwR2WTfzgd+CpwtIruAj9iPAZ7DWgRaDtwFXANgjGkAfgSstW832cfGpMHmaACWTy3AFwjyE3vXTTX6uroDpKdF8ycUP7NKrHmaaYWZ4e2dCzLdNGoFibj47B3v0O4LMCm//03v5pRm0+r1U6Np5lGVoDkJ2CQiFYAXEKwpliX9XWCMecM+ry9n9XG+Aa7t57XuAe6Jor0pyR8I0trlJ3eQHs3Js4oA+MvGKv7fhQsTPk8wHnn9QdITnAgQEkppvtBewwFWgU3t0cTHGnvuZaCMw1Blj8rGzj4XX48n0QSaMZtOnExa7HLvBQPM0YBVIeDWzy7lPx99j02VTRw3bcwuK0paXd0BPEnSozl1TjFrvncWpTk9H2gFWW6aO7vxB4Kk9ZMqr0amr3qEIVppvUc0v31pwGE7pXkm1pqX5ri0ahwLlRAZKOss5KxjJpDldvLVhzZQo+UuRp23OxAepkoGkUEGrGw0gAatIhFzS6bkccrsonBPsi9F9oLrhnYdOosm0DwOBERkDtb2AFOBh+PSqnGsyf5QGCjrLCTX4+LXnzuO2jYvv9VdFUddV3cQjyt5ewoT7eEazTyLva7uALmegf9GQz2aeu3RRBVogsYYP/AJ4DZjzPXApEGuUVGKpkcDcMaCUo6bVqCLNxOgy59cPZreJudrKZR48foH/5IR+t14cVv1aDQpqUUTaLpF5FLgcuAZ+1hiN+IYg3oCzcBZZ5GOLctj+6EWuro11Xk0ebuDSZN11pcyO9BUNWmPJtasjMPBv2RkuJxs2N807is5R7tg82TgZmNMhYjMBB6MT7PGr2h7NABnLijF6w/y/NbD8WqW6kOy92jyM11kup1UNWqPJtaGOmx688XWVuwfHG6Nd5OSWjTbBGyztwn4o/24whjzs9DzIvJ4PBo43oR2zowm0Jw8q4gcTxprKsbs0qKk1JVkyQC9iQiT8zN06CwOvEP8kvEhu8Bpec34LgUUy37/rBi+1rjV3NlNptuJO4ohGYdDWDQ5ly0HWwY/WcWEMcb6VpvEQ2dgzdNUaaCJqdD/+6EMmxZluSnIdLGrV6D568Yq6trGTzZaLP9KtM5CDDR1dA9afqYvS6fks/1gC50+naeJl67uADc9vY2mDh++gLVNb7Is2OxPWb6H96ua2acl62Mmmv/3IsLc0hzKa3qGzhrafVz36Ca+8Pt349bGZJPcX8fGoebO7kGrAvTllDnF+AJB1mq12Lh5+N393PNmBb9/vSK8N3wyD50BnGRXkHhiw5itQTvqov1/P2dCNjsjap7V2z2ZHYdbw3sajXWxDDRaAyUGmjt9Q1pD09vyadbCsS0HdQ1tvBxqtoag0tMcPeudhvGlYDStXlbG5DwPBxp0X5pYCQWKoWYczinJprmzm9pWL6/urKWurWddzaIbn+fGJ7fEpZ3JZFiBxq6i3LvG2bdi0J5xb7C9aPqT63ExKc9DefX4nnSMp1q7OGJ30ITvhyolJ7OphZns00ATM9c+vBEAhwztu/XcCVZl7R8+s40r7lnDg+/sPeL5R9YeGPMVnoccaETkFRHJFZFCYANwl4iES/8bY/4RjwaON82d3YOuOO7PnNJs3egqjirtNOH6Nm840BRnJ3+gmVaYqT2aGPEHgmw/ZCXdnD63eEjXzJ+Qgwg8u9naVPi5961lCC/854f4+tnz8PqD7B/j/3+i6dHk2btjfgJ4wBhzIlaJfxVDnb4Ame7hjftPzPVQ0zJ+MllGW0+g8VHbljo9mpKcdBrafQSDY/tb82g4ZJfz+dknF4erMw+mNNfDGfNLjzo+sziLU+dYwWqspz9HVVTT3g3zM/RUBlAx1uUPDnuCuSg7nfp275jvhieC1x+gutX6kKlp7aKmxYtDegpXJrOi7HT8QUNLl+5NM1KhNUmTB9iHpi/zJ+aE72e5nTxy9UmkOR3MtvcR2h2DkYgOnz88f5Rsogk0N2HtallujFkrIrOAXfFp1vgUDBp8I9jjpDjbTXfA0NI5PjJZRlNFXTvGWBPA+xs6qWzsYFJeBs4U2AeoONsKhuNp3Ua8hHo0k/KiCzSh4fCy/Ay23nReOBswP9NaZ7O3fmRDZz5/kIX/73lW/+bNEb1OvERTGeDPxpglxpjQrpd7jDGfjF/Txh+v30qbzBhmoAkN49TqB0rMba60svkuWDKJujYvOw63MrUwug+bRAnNI0VmO6noGGNYt7eBykYrIEzOj24js9wMa+uv9D7K1kzMy6B6hBW2Qz2iysZOAkk4RDrkjc9EpAT4V2BG5HXGmC/FvlnjU6go5nBLzxdlWR8o9W1e5pRmx6xdCt6vbCY7PY1V80t5YkMVOw638unjpyS6WUMS2t2xoq49/E1aDZ0/EOT0n7/MoeYuphdlMjHXQ6Y7mj0je3o0OX0k+kzMTQ8Pyw7XjsM9VUEaO3xJl6QSzSfak0Ae8CLwbMRNxUiXPxRohjl0lhMaItFvrrH2flUzx5blckzEWPvsFAnms0uymFGUyd+3aNHV4ViztyE8ZLavviOcrhyN0ChFrufoADUh18Ph5pGNQuyt6xl6+59/fDCi14qHaAJNpjHmW8aYPxljHg/d4taycShUPmakPRodi4+t7kCQbYdaWFyWx6ySng+Z46enxvbZIsL8iTm6Adowbdx/5F5Pc0tz+jmzf6GyNfmZRyePlOZ6qG/34rfPGY4OX8+87B/XJN+6nGg+0Z4RkfOjeXERuUdEakRkS8SxH4hIlYhssm/nRzz3HREpF5EPROTciOPn2cfKReTb0bQhlYRLWwxhn4u+FGa5cQhJm3mSqnZWt+LzB1k8JR+nQ/iPs+ZyxvwSlkzpf7/4ZJOVnkbbOCl3Emu7e6UeL5vW//bN/TlzQSmfPn4K37/gmKOey/WkYQy0j6BOYUeva5NtXc6ggUZEWkWkBfgaVrDpFJGWiOMDuQ84r4/jtxpjltm35+z3WQhcAiyyr/mtiDhFxAn8BvgosBC41D53zBnp0JnTIRRmuanVobOY2lJlJQIsLrMCy9fPnse9V64c0sZXySJHA82wNXT4mJzXM/m/pCz6Lxgel5P//vRSSnOPTiLISreG0yJ7JdHq9AWYUpDBfVeeAJB0FbsHndEyxkTfT+y59jURmTHE01cDjxhjvECFiJQDK+3nyo0xewBE5BH73G3DbVey6kkGGP4HWHF2uq4Cj7FqexHslILUyDLrS6hHY4xBhlg6RVkaO7opK/x15rYAACAASURBVMjgoD30OKGPYDESoQXa7d6R9Wgy3U6y7aDlD6To0JmIvDSUY0P0VRHZbA+thQa6y4ADEedU2sf6O95XG68WkXUisq62tnaYTUscb7gq7PBrnZ69cAJv7q5jb52WhY+V5s5ustxOXM7ULXae7UkjEDThFHo1dM0dPiZGrJvJGGbljv6EgsNIKjl3dAfIcKeFf0e7RzDfEw9DGTrziEgRUGwX0yy0bzPo5wN/ELcDs4FlwCHgf4bxGn0yxtxpjFlhjFlRUlISq5cdNbHo0Vx28nTSHMIf1+yPVbPGvaaO4RU6TSY59odZa5cOn0WrsaObwmFUVB+qUKp0+4iGzvxkupxJG2iGkgz+ZeA6YDKwnp7tAFqAX0f7hsaY6tB9EbmLnnI2VcDUiFOn2McY4PiYEpoMzIoyRz9SaY6HZVPzWbevMVbNGveGu0dQMgnNA7R5/SlRny1ZBOzSPX1li8VKVrr1xbJjhENnE3NduNOsj+fuVBs6M8b8nzFmJvBNY8wsY8xM+7bUGBN1oLHrpYVcDIQy0p4CLhGRdBGZCcwF1gBrgbkiMlNE3FgJA09F+76poM2uRRX6xRuuY8vyWL+vkU/d/pYWUoyBls7uYe0RlExiMTwzHjV2+DAGCpK+RxMgw53aPRoAjDG3icixWJlfnojjD/R3jYj8EViFNexWCdwIrBKRZVhbP+/F6jFhjNkqIn/CmuT3A9caYwL263wVq86aE7jHGLM1in9jygj1aLL7WNQVjZNmFXHvm3tZt6+RtXsbOFFXg49IU6ePmcVZiW7GiBTZ9c5C2xuooQlVQ5+Q6+Hi5WVMjUNCSOiLZSySAdJSPdCIyI1YQWMh8BxWuvEbQL+BxhhzaR+H7x7g/JuBm/s4/pz9nmNam9ePyykjTpv90Nye+anXd9VpoBmh5s5u8jOSv0rzQEIl7ZNtfUWyq7FLw5TmpnPrZ5fF5T2yYpEM4POT4XLiclpDZ75UGzqL8CngLOCwMeZKYClWSRoVI21d/vAQx0hkuJ3sueV8ji3LZb3O1YxYU0c3eSk+dFaSnY7H5dBAE6UauwdYmhPblOZI2e40SnPSWbu3Ydiv0R0wuNMcuO0ezUiqDMRDNIGm0xgTBPwikgvUcOQkvRqhdq8//O1mpBwOYf6EXPbWa5rzSHR1B/D6gymfdSYiTCvM1EATpcfWVwLx3eDO4RAuXDKZVz6opblzeHsGBYIGp8ORtHM00QSadSKSD9yFlX22AXg7Lq0ap1q9senRhEzMS6em1asJASPQYv/hp3qgAZhWmMX+Ee57Mp50+gKsqWhg1fySES05GIqPL5uMLxDk+WEWPvUHg6Q5JCLQJNfffDT70VxjjGkyxvwOOBu4wh5CUzHSHuNAMyHXQyBoqGvXCeDhahpTgcbq0SRbwcVkta/BGg345HHx3w5i6ZQ8phVm8l+Pb456t81g0BA0Vgmq8BxNki3MjaYygIjIF0Tk/xlj9gJNIrJysOvU0MVy6Ax6SmWEMmdU9JrHVKDJoLM7oNtIDFGousaMovhnHIoI3zx3PkDU2zkE7C8OaQ5BREhzCP5gigYa4LfAyUAok6wVq9ilipFWr5+cEaY2RwoFmuoWLQ8/XE0dVqBJ9XU0ANPtD8z9DTpvNxhjDA++s49cTxqzS0cntf3jSyezYGIO71ZElxQQ2lEzlNrscjpSd+gMONEYcy3QBWCMaQRSO+czybR1xTrQWBOYhzXQDFtob5/CrNT/VdcU56F7t6KBN8vr+frZ86LeTXMkFkzMoby6Napr/MGeHg2AyympO3QGdNsl+w2Et3ZOrn9NimuL8RxNSXY6Ij3Vh1X0Djd3IRL7ir2JMKUgAxFrl0g1sLd31yMCn1oxuom1c0qzOdjc1eeWDoGg4d43K8I1EcPH7d6L0w407jRHSmed/Qr4C1AqIjdjLda8JS6tGof8gSAdvgDZ6bEboklzOijOTqdGezTDdri5i+Ls9JSu3BzicTmZVZzFyx/UakLAIN6rbGJeaU5Mv/gNxbKpVjH70DxN5CaGT26q4odPb+O3L5cfcU1oPibNGerROFJ3mwBjzEPAfwE/waq6fJEx5s/xath4Eyo/MdLyM71NyvNEncWiehxq6WJSXur3ZkLOXFDKewea+NO6A4OfPI7tr+9gTmn24CfG2KlzipiQm85b5XW8sauO43/8Ii9/UAP0lA9q61WqJjRHE+rRpDkl9Xo0EdsCFGIt0vwj8DBQbR9TMdDqtSadYzlHA3Duooms3duo+9MM0966dqYWZCa6GTHz72fNBWBntX756E8waKhs6qQsARvdiQgTcj08sbGKL9z9LgBPbqzi2oc28JO/7QAgw33kx/bRczQOfKkWaLAWZ66zf9YCO4Fd9v318Wva+BIak82JcVf9Y0smA4S/Famha+3qZn9DB8dMGvYms0kn1+NiZnGWZiIOoK7di88fTNiOqp5etQ7/uukgz75/KPy4d0ZZT4/G+jh3O1NwjsbeEmAW8CLwMWNMsTGmCLgQ+Ee8GzhetNkbUsV66GxaUSaT8zy8d6Appq87Hjy61hpeWjSMPeKTWWlOuq6tGkBoK/REBZoWe7uQ337+OD48zyqQ+4WTpnH8dGv+pqnjyHVQvXs0q5eVsWp+6Wg1d0iimeE8ya6iDIAx5m/AKbFv0vjUavdo4jH5WJrrob5dF+lF66+bqlhclndENeyxYEKuR1PeB7C71hpmnlU8+nM00DO6Ma0wM7yt+4KJuTz+b6ewYGIOjR1H1kML2MkAoTmaf1s1m0tXThvFFg8umkBzUERuEJEZ9u17wMF4NWy8CfVoYj1HA1Cc7U7YavCd1a14/cPfZyNROnx+th9q5cPzSsJ/wGPFlIIMDjZ1Jt3wSrLYXduG2+lIWI/mrAVWb2RqYSZib2gc2rNmUp6HndWtR2QN9u7RJKNoAs2lQAlWivMT9v2+9ptRw9AW7tHEfgV6cXb6EWmSo+VgUyfn3Poa//pA6k3lvXegmUDQhIcrxpJZJdn4g4ZnNx8a/ORxaE9tOzOKM8Mr7UfbDRcu5O3vnElehouvfWQus0uy+PA8K/icv3gS++o7+PKD63lms/U9399rHU0yimaHzQbga/09LyK3GWP+PSatGofiNUcD1u6K9e0+gkGDYxR/Gf+4Zj8Ar+2sHbX3jIWqpk4uvesdAJZPy09wa2JvVolVUuW6Rzdx0fKyBLcm+eyubWNeaeISQFxOB5PyrN7UMZNyeekbq8LPfeK4KWw60MRD7+7nH9uq+eixkyJK0CRvoIllyD41hq817rR2dSMCmXEoR16YlU4gaIa918Vw+PxB7n6jIvw4Vfaq7w4Eue6RjQD86+kzyc9M/dIzvR07uSe5IaBbSByhOxBkf33HqNU3i5bTIdx88WKuOHk6YI2E+HtlnSWj5G3ZONPq9ZPtTotLjyPfrjw8moFm04EmOnwBzl00AejZqTDZ3fbSLtbutXYl/d4FCxPcmvhwpzm45eLFAPz38x9osImwr74Df9AwuyQxiQBDtcj+stDa1d3To0nioTMNNEki1gU1I4UqD49moHlrdx0i8PGl1tDMU5sO8uSmKi67+92kXTxqjOHVXXUASPL+zcbEjGJrEervXt3NXzdWabCxhapozEryQBP6rGjt8odL0CTzHE0sA81R/0oRuUdEakRkS8SxQhF5QUR22T8L7OMiIr8SkXIR2Swix0Vcc4V9/i4RuSKGbU4abTHeiyZSXgJ6NG+W13Hs5DwWTc4F4NYXd/K1Rzbx+q46Vv3iFf6+5RC7a9v4vxd3JU3drbf31PPegSaKs9N57CtjO3N/yZSeuadv/Pk9bnlue9LtMz/ajDFc/+f3gJ55rGSV47H+pls6x1iPRkRmD3LK//Vx7D7gvF7Hvg28ZIyZC7xkPwb4KDDXvl0N3G6/byFwI3AisBK4MRScxpK2GO9FEykUaJpGKdBU1LWzdm8j5y6awIziLB65+qTwc6F1Ql/5wwbO+p9XufXFnUesek6kZzYfItPt5I1vnTEms80iZaenUZbfk7579xsVXHnf2qPOS5YvAaOhptVLS5efWSVZ5HqSe/+h3IzIHk3yZ51F06O5R0R2i8gjInKtiCyOfNIYc1/vC4wxrwG9d/FZDdxv378fuCji+APG8g6QLyKTgHOBF4wxDfYeOC9wdPBKea1dcezR9Bo6O+fWV/nBU1vj8l4AWw82A3DWMdb8zEmzitjw/bPZ/INzePPbZ/Kji47l9LnF4fO/+vDGhK+1CQQN/9h6mDPml8Z9f/hk8er1q0hP6/kIeH1XHRURw5rX//k9lvzgH3xwOLr9UVJV6Pf2p59YkuCWDC7Uo2n1doe3CUgbC8kAxpgPA8cAtwH5wLMiEt1WcJYJxpjQV9jDwAT7fhkQWVK20j7W3/GjiMjVIrJORNbV1qZWSm37KPRonn7vIN2BIDur27jvrb1xeS/oqTIbuYdLYZabXI+LvAwXl500nQevOpGKn5zPRPuctRWNcWvPUKzf10hdm4/zjp2Y0HaMpjSng59/yvpQzXRbwfWMX7xCZaNVguXP6ytp9fo5939fY/GNz/OGPX81VoUKjc6fmPy17Y6coxlDPRoROQ34BvA94ALgGeDakby5sfrlMeubG2PuNMasMMasKClJrbIhsd70LFJ6mpPzFk1kTUUDj6yNf3n42lYvaQ4JZ7v1R0R48RsfpjDLzS3PbSeYwAnpP607gDvNwRkLkqtGVLytXlbG3p9ewEP/cmL4WKgEy7wJ2cwqyeLfVs2m1etnx+GWRDVzVBxo6CAvwxX+YpbMQl8MOn2BMbeO5hWsYa47gVXGmGuMMX8cxntW20Ni2D9DZYWrgMjt7KbYx/o7Pqa0dfnjUhUg5H8vWUZpTjrf/2s4LyNu4++1rV5KctKHlKqdnZ7GDRccw7ZDLRz7g+cTUvyzw+fn8Q2VXHrC1FHf6CpZLJ9WwBPXWAkQoR5NV3eQJWV5XPcRa2sBb5JtDxxrlY2dTC1MTNmZaIUqPHd2B8Zc1lkxcBNwMvB3EXlRRH40jPd8Cghljl0BPBlx/HI7++wkoNkeYnseOEdECuwkgHPsY2NGMGho8/njUhUgxONycu0Zc444tiMOY+9d3QHW7WukNCd9yNdctKyM68+dT4cvwOrfvBkeehstNS1ejDkyE2s8WjolnzSHUNnYCVj/Lz0uJ26nAxGO2kJ4rKls7GBKfmrsPeRwCG6ng67u4NjKOjPGNAF7gAqsHTZnAx8a6BoR+SPwNjBfRCpF5Crgp8DZIrIL+Ij9GOA5+/XLgbuAa+z3bQB+BKy1bzfZx8aMju4AxsR+L5rePnfiNL5x9jx+fNGxZLqd/OGdfTF/j7vfqKCirp1/WzVYkmIPh0O49ow54UWEJ9z8It96bHPM29afOrsOXEkUwXEscjqEaUWZlNdYcxWhQCMipKc5xnyPpr7dl1K/A+kuB13dgbFV60xE9gA7gDewUo+vNMYMWBLYGNNf0c2z+jjX0M+cjzHmHuCeobY11YTqnMUr6yzE5XSEd1h8futh1u+L/QT8XzZWcfKsIs47dlLU137uxGlU1LVx1+sVPLruAP959jwmjsI2yqEeVHF26nzIxMvSKfm8UV6HMYYufzCcgedxOfGO4R5N0C7RFFrcnAoyXE68/kB4y4dkLpcUzdDZHGPM+caYW4wxbwwWZNTQtdnbOMdz6Ky3ZVPz2VndGtPhkK0HmymvaQuXnRmO712wkBe//mEAnthYGaum9SsQNOHdJlPp22y8LJuaT22rl8rGTnz+YHg/lPQ0a5hmrGr1+jGGlEgECPG4nHR1B9l6sJlZxVlJPb8YVaARkZdCq/xFZImI3BCndo0rbV7rwz7eQ2eRFkzMJWgID5PEwpObDuJOc3Dx8ikjep05pdmcNqeYn//9A25+dtsRzx1o6IhZgU5/IMhn7nibHzy9jcl5Hgqzkvcb4WhZNtWap3prt5XKHOrRpKc5E77WKZ6a7c3EkrlX0JvH5aCls5s1FQ0smZLcu8BGE2juAr4DdAMYYzYDl8SjUeNNPLcI6E9orUAsEwI27W9i0eTc8ALRkfjh6kUA3PV6BZsrezLRTv/5y1zwq9dH9Npd3QH+vO4Ac773N9bvayTL7eTxa05J6jHu0XLMpFzyM13c/Ox2ADz2gk6Pa2zP0TR1WgM0g6XkJxOPy8mrO2tp7Ohm9bLk3u4hmkCTaYxZ0+tYatR+T3LhobNR7NHMLM6iONvNKx/UDH7yEHQHgmw52MySsth8s5pdkh1Ot/3VS+Xh9wDYW98RLn44HL98YSfXRyQbrL3hI+H9P8Y7d5qD755/DC32l58Md0+PZixnnTWFezQpFGjSnOHFmjOKk7s2WzSBps6ud2YARORTWNlnaoRaQz2aUQw0Todw1oIJvLazNibraTbut7YFOHl2UQxaZzluWgGXnTSdN8prw5O1IQ++PbyMua89spG7Xt/DnNJs7rzseO6+YgWZ7uQd206EyOoIPUNnY7tHE9rGoiiFEkLSXT0f3wVJHiCjCTTXAncAC0SkCrgO+EpcWjXOhLZxjlcJmv4sn5ZPS5efvfUdw7q+pqWLt3fXc6i5k+se2UiGy8nJs4sHvzAKM4uz6OoO0tTZTVNHT/7JXzdVcbi5K6rXqm7p4slNBzln4QQevfokzlk0MVyPTfXI9bjCiRFuZ2jobGz3aPbXt+MQjig0muxCXwIcQtIXAY0m0FQB9wI3A49gFbcckyX7R9topTf3tmKGVaF4OL2DQNCw8paXuPSud7jmoQ0cbO7iRxcdG/OsnWL7A6+uzUujPbzx9bPn0drl5/rH3mPrwWau//N7XHnvmkE/CP+x9TAA1587P6W+uSbCA19ayYkzC8MbbI31Hs2+hg4m52fgTkvewpS9ZdiBJi/DNapbtA9HNJ9sTwJNwAbgYHyaMz61ef2kpzlwOUf3l3xOaQ6fOn4KD6/Zx9fOmhvVJP67e+rD9zfub2L1ssl86viRZZv1pcQOCLuq28JDZ2fML6WmtYs/vLOf13e9ET73gbf3cvWHjl4o+mZ5HTmeNH71z3Jml2QxJ4H7waeKYybl8uiXTw4/Th/jyQDbD7UwM8nnOXqblG+tMUuFTeuiCTRTjDFjrjx/MmiNY+XmwXz+xGk8tr6S+9/ey9UfmjXkEvm9F3t+9/xj4tA6KMmx0k2vfXhD+FhxjpubPn4sf3hnPwA3XHAMf99ymNtf2c0XTprOtoMtzCnN5o3yOr768MZe7VwQl3aOddnpadS1eWnz+tl+qIXjpxUc9S164/5G2rx+Tp+bWgVt99W3s7O6jUtXTkt0U6LyqeOmcMere1g6NflLJ0Xz6faWiCw2xrwft9aMUy2d3QkbY106JR+308EvX9jJ2r0NPHjViYNfBFQ1dVKc7ebV68+I65Bf5FYDAGctKA1niD391dPIcDuYU5pDcXY61z26iRU/fpEOXwB3mgNfr2/gn1kxZcRrfMars46ZwJ/WVbL8pn/QbZc8yfGkcc8XT+CEGYUAXPzbtwDYfcv5KZUqvsfegyfVat3NnZDDO985K5wZmMyi+YQ4DfiiiFQAXqytm40xJvl3CUpyrV2J69E4HMIvP7uUrz68kdd31bGvvp3pRYMPIVQ1dVKWnxH3eaUcj4unv3oa97+9l2tWzaasoGeydnHEIrWPLZ3Mlqpmfv9GBUA4yPzi00v50Nxi1u1r5EPzUuubdjL5yDET+PyJ03h1Zy3zJuTwzx01tHb5+fTv3mbZ1HxWziwMn/vlB9fz688tT5kN5GpbrIyzaArBJovRKNEUC9F8Snw0bq0Y51q6uslN4EKxC5dMZuWMQk772cvc+doebr548aDXHGjo4JhJuaPQOiug/OLTSwc8x+kQbrhwIR6Xk0PNXWyubOKb587n3EVWqu75i6OvvaZ6OB1yxO9Fa1c3e2rbWf2bN9l0oIlNB5rIdDvp8AV4cXs197xZwTWr5vT7esYYRJKj11PTqiWI4m3IgcYYE/tSvwqwejSTEvzNpDTXwyePL+PP6yv5+tnzBszK2nG4hb31HVx+8ozRa+AQffPc+YluwriQ43GxdGo+/3HmHCobO7nmjDnMLM7C6RD+5f51/Pbl3XxsyWSmFh5ddv+l7dVcdf86XvnmqoQvNPzNy+W8tKOGvAxXyvTAUlHq5PKNYYmco4n0pVNn4vMH+eOa/QOe985uK+NMewnq6+fM55efXcac0uzwvMyNH1uIzx/sd7vwV3da26zf9s/y0Wpmn9q9fv77+Q/YuL+JOaXZCW3LWKeBJgkkco4m0twJOZw2p5hH1x0YsFrAtkMtFGW5mZCrQw3qaFMLM1kxo4BH1uxnrz3RHikUkJ7ZfJCd1bHffG+oQuX1PS4H/zPI0KwaGQ00CdYdCNLZHUiKHg3AhUsmcaChs99im8YY1u1tZFFZXtKMsavkc8UpM+gOGP71gXVHPdfY7sOd5qA7EOSpTYlbkheqLHHvF1cmfAhvrNNAk2ChOmfJ0KMBK41VBP66sarP53ccbmVPXTvnR9TDUqq3cxdN5FsfXcCumjbeKq/jwbf3ErQXFta3+zhmUi5zS3P49cvlCSttEwo0qZK5lco00CRYi73aPZFZZ5FKctI5a8EE7nhtDx+77Y2jFmaG9pNfOHl0Ms5U6gptgPe537/L95/cygvbqwFo7PBRmOlinr1VxfN2aaDRtq+hA4eQ8ESc8UADTYK1dFmBJidJhs4Abv/CcfzXefN5v6qZax5aH94UCqyaY6DbHqvBTSnI5IYLjuHi5dZeKV9+cD1/33KIitp2JuR6uPniYwHYP8yiriP1fmUTc0tzNNtsFCTHeM04Fho6y02SoTMAl9PBNavmYAz89/MfcPJPX+Lyk2ews7o1XAC0KDt1diJUifMvp88C4OPLJvO9J97nK3+wSgktmJhDrsdFaU46+xtGP9AYY3i/qplV80tH/b3Ho4T1aERkr4i8LyKbRGSdfaxQRF4QkV32zwL7uIjIr0SkXEQ2i8hxiWp3rIWGzpKpRxNy7Rlz+P3lK/D5g/zu1d38c0cNa/Y2kJfhIj1NvwWqoTtjfilP//tp4cdzJ1jDZlMLM8PDsaPpYHMXdW2+pN8CeaxI9NDZGcaYZcaYFfbjbwMvGWPmAi/Zj8GqSjDXvl0N3D7qLY2TcI8mI3l6NJE+snACt3522RHHpvWxCE+pwRRlp/PBj8/j159bzin2Bnkl2enUt3tHtR2N7T4+87u3AVgcox1h1cCS7dNtNbDKvn8/8ArwLfv4A8Za3PGOiOSLyCRjTMrv8JmMczS9XbhkEjWtXhZMzMGd5ki5cuoqeaSnOblwyeTw44IsFw37rE3tth9qjekOrf259cWdVDVZvahUK6SZqhIZaAzwDxExwB3GmDuBCRHB4zAQ2v6wDDgQcW2lfeyIQCMiV2P1eJg2LTVKfte2enE7HeSM8qZn0RARrjptZqKbocag/Ew3TR0+PnPH2+ysbmPrD8+Ne6HWNRUNANx52fEpVWU6lSVy6Ow0Y8xxWMNi14rIhyKftHsvUe3oY4y50xizwhizoqQkNSr1HmzuYmKeJ+l3yFMqHgoyXfiDhp3VbQDsrm2L6/t1dQfYVdPGtWfM5pxFuhZstCQs0BhjquyfNcBfgJVAtYhMArB/1tinVwFTIy6fYh9LeYeaOjWPX41bBZlHZi9+0E9FiljZsK+RQNCwbGpBXN9HHSkhgUZEskQkJ3QfOAfYAjwFXGGfdgXW9tHYxy+3s89OAprHwvwMwKHmLibnZwx+olJjULFdmn9mcRZl+Rn9FuKMlb9tOYw7zcGpc+I/F6R6JGpiYALwF7tWVhrwsDHm7yKyFviTiFwF7AM+Y5//HHA+UA50AFeOfpNjLxA0HG7p0h6NGrdOmV3Ej1YvYvm0At7aXcctz+1gZ3Ur8+z051hq7ermiQ2VXLh4Epnu5J0THYsS8l/bGLMHOKpcqjGmHjirj+MGuHYUmjaqalu9BIJGezRq3EpPc3KZva9RqGD4lx9cz8vfXBXz9/rLxirafQEuP2VGzF9bDSzR62jGtYPNVorl5Hzt0Si1eEoeCybmsL+hg0AwqjygQRljuP+tvSydkseyqZrSPNo00CTQoSareuykPO3RKAVw1WkzCQSt8jCx9PCa/eyubU/KXWHHAw00CVRr71VeqnuVKwXAaXOLyfGkcf2f38Prj932Ab99eTdzS7O5cKnuCpsIGmgSqK7Nh0OOTvFUaryalJfBNavmsKumjf96bDMdPqtE0+HmrmHvW9Pa1U1VUycXLS/TGn0JoqkXCVTf7qUwK10XayoV4UunzWDt3gae3HSQJzcdZE5pNuU1bZw4s5CbVh/L/IlDz0gzxvCrl3YBMD8OmWxqaLRHk0C1rT6Ktdy+UkdIT3Pyv5csI7RTeHlNGwsm5vBuRQMf+/Ub7Kwe2qLOlq5u7nhtD3e9XsHHl07mw/NTo1rIWKQ9mgSqa/PqBmJK9SHX46LiJxewfl8jQWM4YUYhr+2s5Uv3reXyu9fw8jdXkeE+chhsw/5GXt9ZxyeOK6MsP4OLfv0me+raAfj5p5bgcur36kTRQJNAVU2dnKkbLynVr+On95SK+dC8Eu66fAVX3reW/3p8M7ddujz83H1vVvCDp7cBVnVmp0PCKdK/unS57qKZYBriE6TN66e21cv0Yt3bRamhOmNBKd88Zx5Pv3eQe9+sIBg0HGru5ObntnPCjAI+NM8aHgsFmVevX8XHl04e6CXVKNAeTYLsq7e69DOKdG8XpaLxlQ/P5s3yen749DZ+aPdiPC4Hv/zMMqbam/IdbOqkOxBkuv59JQUNNAmyr97aJ316kfZolIpGmtPBQ/9yIk9vPsiL22vI9aRx8fKycJABtKxTktFAkyAVddqjUWq4HA5h9bIyVi8rS3RT1BDoHE2C7KtvpyQnPe67CSqlVKJpoEmQndVt1+7uEQAABWZJREFUzCrW3oxSauzTQJMA/kCQ7YdaOLYsL9FNUUqpuNNAkwA7Drfi9QdZrIFGKTUOaKBJgLd31wNw0izdTlYpNfZpoEmAF7dXM29CNhN1C2el1DiggWaUlde0sWZvA+cv1n0xlFLjgwaaUXbrCzvJdDm57KTpiW6KUkqNipQKNCJynoh8ICLlIvLtRLcnWhv2N/Ls+4f40mkzKdKqzUqpcSJlVguKiBP4DXA2UAmsFZGnjDHbEtuy/vn8QVq7umnt8rP9UAs3/HULZfkZ/MvpsxLdNKWUGjUpE2iAlUC5MWYPgIg8AqwGYhpo9tS2cfWD6zHGYAwYIGgMwdBjY+3aFzRgsH/azwWNsc4PGnyBIF3dwSNee2ZxFr+/YgV5Ga5YNlkppZJaKgWaMuBAxONK4MTIE0TkauBqgGnTpg3rTdJdTuZNyEZEEMAhgkOwHgsIocfWc2I/5zjiOcGd5iAnPY0cTxo5HheluemcNKtIN19SSo07qRRoBmWMuRO4E2DFihVmOK9Rlp/Bbz9/fEzbpZRS41kqfb2uAqZGPJ5iH1NKKZXEUinQrAXmishMEXEDlwBPJbhNSimlBpEyQ2fGGL+IfBV4HnAC9xhjtia4WUoppQaRMoEGwBjzHPBcotuhlFJq6FJp6EwppVQK0kCjlFIqrjTQKKWUiisNNEoppeJKjBnWusakJyK1wL4oL5sZcT8d8A7weCjnRPs4WV5jPL9msrYrVV4zWds13v6tdfZtOKYbY0qGeW2fUirrLBrD+Q8lIu0RDz2ADPB4KOdE+zhZXmM8v2aytitVXjNZ2zXe/q11xpgVJAkdOlNKKRVXGmiUUkrF1ZgdOhumJyLuzwV2DfB4KOdE+zhZXmM8v2aytitVXjNZ2zXe/q33kETGbDKAUkqp5KBDZ0oppeJKA41SSqm4Suo5GhFZCbwI5CS6LUoppfp0qjHmrYFOSPYejRe4zb7dAvgT2xyllBqTgkM4p9v+aezbXVifyT8e7MKUSgYQkUNAMUneE1NKqRRigC4gY5DzAlh7gYWCxjpgBtAKnGKMqe7vwmTv0YSJyGlACRpklFIqloTBgwxYQSZ0vgAnAP8LTAemDHRhSgQaEZlAz86agQQ3RymlxrMgPZ/D3wPeY5DP5aQPNCKSAWzFirgBNNAopVSihYbQGoBJwJ6BTk7qQCMiAmwBCjgyiqbOxJJSSqWOgT5bQ8+12D+DQB7wujGmpe9LLMk+3/EVYFbEY2d/JyqllBqx3pWk+3ouP+LxB1if0wO/aCplnSmllEo9ST10ppRSKvVpoFFKKRVXGmiUUkrFlQYapZRScaWBRimlVFxpoFEqTkTkByLyzQGev0hEFo5mm5RKBA00SiXORYAGGjXm6ToapWJIRL4HXAHUAAeA9UAzcDXgBsqBy4BlwDP2c83AJ+2X+A1W8dgO4F+NMTtGs/1KxYMGGqViRESOB+4DTsSqurEB+B1wrzGm3j7nx0C1MeY2EbkPeMYY85j93EvAV4wxu0TkROAnxpgzR/9folRsJXsJGqVSyenAX4wxHQAi8pR9/Fg7wOQD2ViVyI8gItnAKcCfrRJ/AKTHvcVKjQINNErF333ARcaY90Tki8CqPs5xAE3GmGWj2C6lRoUmAygVO68BF4lIhojkAB+zj+cAh0TEBXw+4vxW+zns6rcVIvJpsCqXi8jS0Wu6UvGjgUapGDHGbAAexdoI6m/AWvup7wPvAm8CkZP7jwDXi8hGEZmNFYSuEpH3sPZgWj1abVcqnjQZQCmlVFxpj0YppVRcaaBRSikVVxpolFJKxZUGGqWUUnGlgUYppVRcaaBRSikVVxpolFJKxdX/B5xzm7N02AcdAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.lineplot(data=USA,x='date',y='new_people_vaccinated_smoothed')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 307
        },
        "id": "qP90exrOq7e8",
        "outputId": "d754e984-e5c1-424d-f8c4-17705a565e46"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f869ce77c10>"
            ]
          },
          "metadata": {},
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.lineplot(data=USA,x='date',y='excess_mortality')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "id": "TRUG-pMCvbgu",
        "outputId": "9508ac74-9ec4-4050-d9e9-9dbaa8c9ac5d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f869c7a2e50>"
            ]
          },
          "metadata": {},
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "correlation=USA[['total_cases','new_cases','total_deaths','new_deaths','icu_patients','hosp_patients','new_tests','total_tests','positive_rate','total_vaccinations','people_fully_vaccinated','total_boosters']]\n",
        "corr=correlation.corr()\n",
        "corr_round=corr.round(decimals=3)\n",
        "matrix=np.triu(corr_round)\n",
        "sns.set(rc = {'figure.figsize':(60,20)})\n",
        "sns.set(font_scale=1.5)\n",
        "\n",
        "\n",
        "heatmap=sns.heatmap(corr_round,annot=True,cmap='coolwarm',mask=matrix)\n",
        "heatmap.set_title('Non-Categorical Data Heatmap')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 878
        },
        "id": "UcnYDSFkrQub",
        "outputId": "c7c45c5b-8f44-4f89-efd1-471be11e9f4c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Non-Categorical Data Heatmap')"
            ]
          },
          "metadata": {},
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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l6tcxKKGpSQt/sqiw7DtBZRRZpJQMu37YVqyPlxfpix8tOp1t1z09PNQovNre4qMa4TMn4D6lea3YVrZg0ZH7qrAGSmSIQfGNjVq22Vql3HdzR5Myzkjr9/BtBaqnorN5zexRNveVrhJuuYDcV+rUyUR98f4zCgiso35Dnjlv/0WzXtHRg1vVc9A4hYRFX/B8wNXC5ONT/k4ZqtrzlqSpH8tutarVtEkK7nmDvMPrqnaP69Vq6r/LPG8x+5d8l+AZXFv7/vqyDv/7XaUtXqn9z7+uw2+8L//Yhqp394AK5wKuRcVFJUVK5d7zmc/e81mqXsjUe8Rk9R8zXV3veknhjTur2FIgy3nu+TJTD+tk4maFN7xOAUGVLzAIAAAAAABQVdf8ThsVSU5OltlsVlRUlFN7/fr1ZTablZycfN4xCgoK9P7772vevHlKSUlx2pHizJkzlxRf165d5efnp0WLFjkKIBYvXqz4+HiFhoY6+h0/flxvv/22Vq1apaysLKcxSgsRSgsnGjduXOF8VelTmdIdPUrVPLszQXZ2tqMtMzNTU6ZM0aJFi3T6tPN2zhfz55Wenq78/HxFR5f9gigmJkYLFy5URkaGgoODHe1hYWFO/QICSrZ8z8rKkr+/v/r376+5c+dq7NixCgkJUefOndW7d2/16tWrSsUrcB9bfoE8ageVe8zo6enoU5HsX7Zoz1Pj1fDZp9XyvyU7tNiLi3Vi3lfyPHRIwb16yppb9iFu1uZfHP+e8tUCxU18Ra0/nqnNA+5Qcfal/f8AcKWy2azKz0l3ajN7eMvDs+TLSmtx2S81rZbCkn6eVX+pO6JRB8e/N7/uDi368HF99tYQjfzrQnn71iz3nHUL39LWHz9Ry86DlXDT2CrPBVyNrPkF8qwo93l5nu1T8Ys7WRt/0c5xT6vJP8er9YfvSpJsxcU68dk85R4IUmjfXio++3myIsWZWUqeNVcxjz2smvFtlL56/UVeDXDlMhgkv9/V7lqKS/6RpPI26DObzvWrjMko3X6Dhw4m27Tt0PlfRK0TaNBDt3nq25+KtWHPuWqRbQetevROT91xg4cmflaoKmyWCFzx+MwJuI/BIPn+bsH9Yuu5vGY2GiQ5JxtH7iunmPG3jEbplo4mHT5h187E8yesltEGNQwzaOYyq8qpFQGuKTabVbnZzrnPw9NbnmfzWrGlbO4rPpv7PC4g90lSetoxzXxtlAwGg0Y8MVV+AeXfW5Za8eV/9NOKWWrf7W51vfVPFzQXcLWx5ufLM7h2uceq8rwlc8Mv2j72KcW99Kzazv6vpJLnLcdnzSvZhePmXirOKfmuwVpQ8nfYbrXq+FznHUyPf/61Gj71sAK7dNCxjz675OsCrjQ2m1UFuc55z2T2ltmz5CFMufd8xWfv+TwqXqTt9+rFnLvni+twh1bMelxfvztUdz/xrbwquOfbu/HLkv4Jd1Z5HgAAAAAAgPOptkUbl8OECRM0b948jRw5Um3atFGNGjVkMBj02GOPORVwXAwvLy91795dy5Yt09/+9jcdPXpUe/bs0T/+8Q9HH6vVqvvvv19ZWVkaM2aMYmJi5Ovrq5SUFI0fP162P3CvHKOx/BVdf/vn8Oijj2rLli0aPXq0mjZtKl9fX9lsNo0ZM+aS/7yqylTeG1W/idPb21uzZs3Shg0b9MMPP2j16tX6+uuv1aVLF02bNq3C8+F+hWlp8m0YI4OHh+wW52UaPeuEqig9Q/biyt+aO7VshU6tWCW/xo1k8vNTfmKiLOkZajPnY9ksFuUnHa30fElK+fobhfbvq+BePXVy3leXdE3AlepMxgnNeKGnU1uzhEFq2WWwJCmnnK3JS9v8y9nSvKqaJQzUvl8W6uC2ZWrR6a4yx9cvmqwNS/+r5h1vV8/BL1z0PMDVojA1VX6NY2Tw9JC9yDn3edUNVdHpdNnP88Z42qLlSluyUv5xjWXy81Pe4URZTqer/VezSnJf4vlzX8Gx45Ikj8DAi78Y4ApWy8+gZ4Y4v7m6eb9VG/aU/P2q6Ve2uDvgbFtWXuX3OZ2amRRS06CFPxWrdsC5cbw8Sv43qIZB3p5S+pmScW5oaZKH2aAdh53fiLVYpX1Hberc3KxAf4OjP3A14zMn4D4BvtKjgzyc2rYesmnzgZJnjTXK2WA0wKckj53Jq3zshCZGBQdIyzbbFOh/rt3z7HSB/gZ5ediVmVNS3Ngn3qQDyXbl5Nsd/QN8S+by8jAo0F/KK1SVduwArnRZp09q0pO9nNraXj9QHbrfLUnKziib+0rbAgJDyxyrSEZasma8OlJFhXm6/5kZqhvZpNL+K+dP0fcL3lO7G27XgPv+WeV5gKtV4ck0+TdpWO7zFu+wOio6df7nLanfLFPqwhXyb9pYZn8/5R5KlOVUuhKWzJHNYlHekaSSuU6U/B22ZGaXmasoJU2S5FEz4HJdGnBFyc08odmvOue9JvED1fS6knu+3HLu+Urb/C7hnq9J+0E6tG2RjuxcXm5Rhs1arP2bv5a3by1Ft+h90fMAAAAAAAD8XrUo2ihvh4Tw8HAVFxcrKSlJDRo0cLQnJSWpuLhY4eHhlZ4vSUuXLtXAgQM1fvx4R1thYeEl77JRql+/fvr222+1ceNGbdmyRSaTSX379nUc379/vxITE/Xaa69p4MCBjva1a9c6jRMZGSlJOnDgQIVzVaXPpcjKytL69es1btw4/eUvf3G0JyYmlulb1R0tgoKC5OPjoyNHjpQ5duTIEfn6+irwIl4eNBqN6tSpkzp16qTx48dr2rRp+ve//62ff/5ZnTp1uuDx8MfI2blLQV06q0bLFsr+ZYuj3eDpKf/YWKcdMSplsyl3337Hjx61a8s/LlZZm36RreD82y0bvUte6DPzRQquYX4BIbr9zzOd2vwDQlUjKEwms6dOJG4tc05pW52oFhc9b+nqkQV5WWWOrV80WT8tmaJmCYPUe8hL7I6EauHMtl2qfWMXBbRuqayN5/Kc0ctTNZrFKfPnzVUbyGZTzu59jh89Q2rLv3mcMjdsrlLu821QsnNd0anT5+kJXJ3O5Ns1faHz6o7ZeXZl5thlKbYrKrRsziltS06rvJC+lr9BRqNBo/p5lnv8L4O8VGix6/kPS3JgaTFIeWnOeLatgnp64KrDZ07AfXLypf+tcH4Z9Uy+XVm5UrHVrojgsv/tR4SUtB0/XXnhYE0/yWg0aHjP8h9LP9DPrCKLXa98ViyzSfLzNqhJhEFNIsomuNYxRrWOMWrZZqvW7/njFq8BXMW/ZrDue/oDp7aAWqGqWTtMZg9PHT20rcw5pW3h0VXLfRlpyfrg1REqyMvR/U/PUL36zSrtv3L+FH331Ttqe/1ADRw1gdyHaiF7604Fd++imm1bKnPD7563tIhVxvoLeN6yy/l5S40WccpYv8mxK3hR2mnlHz0u7/C6Mvp4O+0W7hVW8lJ60SnnnQiAa4VPjRDd/MAMpza/gFD51yq550tJKnvPl5JUkvdCIi7+ns9qKfl7Vt49nyT9uuc75eecUovrR8hkLv95DQAAAAAArvBHLX4P96kWRRu+viXLv/22mKJr165644039NFHH+n55593tP/vf/9zHC/l4+Oj7OzsMuOWt+vCxx9/LKvVWqb9Ytx4443y9/fXokWLtHXrViUkJKh27XNbMpfubvHbv6h2u91xDaWCgoIUHx+vuXPnauTIkapbt65Tf4PBUKU+l6KiHSo++uijMm3l/b4qGrNLly5avny5jh8/rnr16kmSjh8/ruXLl6tr164XvDNGRkZGmUKPpk2bSiopyMGVK3XJMkU+MFrh9w5zKtoIu/N2mXx9lLpwkaPNOzJCBrNZ+UcSKx/UYFCjZ5+WwWRS0tTpjmajj7ckg2y/3wLdaFS9e0pWAMretuNSLwm4Ypk9vFQ/tnO5x2JadNfBbcuVlrxXIeFxkqSiwlztXP+FaoU0UN36rRx9C/PPKDc7VT5+gfLxD5IkWQrzZJddnl5+TuPabFZtXT1LklS3QRunYz8tnqKflkxR0w4DdNPQl2XgbVVUEynfLlX9P49R5KjhTkUb9e65QyZfH538aqGjzScqQgYPs/IOJVY+qMGgxs+Pl8FkUuI70841m0wy+vrIeibHqbtXWB2FD79bRekZytpc9otU4FpQbJUOHi//RdA9STa1aGBUWJBBJ9JL7ss8zVKHWLPSsmw6mnbuXs3Lo2Rl8NwCu/LO3lps3m9VYkrZsTs1M6lhPZPm/mBRfuG5MVIz7GoSIcU3MenH7efuO709pWb1TcorsOt0Ng9ycG3gMyfgPlabdORk+flk3zG7mkYaVKeWlJJZ0uZhlto2NOp0tl3Jp51zn79PyU4Y+Wdz39ZDNiWllR27QxOjousa9fW6YuWfrZW0FEuf/1h2JXM/L4Nu7mjSgWSbthyyKSWD3Idrg4enlxo1Lz/3xbbprt2blutE0l6FRZXkvsKCXG364QvVrlNfETHncl9B3hmdyUyTb41A+dU496w741SyPnh1pAryzui+pz5QeHTzSuNZ9dU7+u6rd9Sm820aNPqlCnfbBq41KV8vUfT/PaCoP93rVLQRPvxOmXx9deLL3zxvqR9Z8rzlYNnFxZwYDIp96VkZTCYdeWuq06ETX3yjmMfGKmLEXUp6/2NHe+R9Jd81nFr542W4KuDKY/bwUkTj8vNe/abddWTncp0+vle165XkPUthrvb+/IVqBtdXaKTzPV/emTR5+wXKx68k71mK8iS7XR7l3PPtWjdbklSnfuty59778xeSpLgOd1zaBQIAAAAAAPxOtSjaaN685MuHN998U/3795eHh4e6d++uQYMGafbs2crOzla7du30yy+/6Ntvv9Wdd96p2NhYp/PXr1+vmTNnKjQ0VBEREWrdurW6deumr7/+Wv7+/mrUqJG2bt2qdevWqVatWpclbk9PT/Xs2VMLFixQXl6eJkyY4HQ8JiZGUVFReu2115SSkiJ/f38tXbq03AKT5557TsOHD9e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\n",
            "text/plain": [
              "<Figure size 4320x1440 with 2 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "NNOMap8Pruaz"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}