COVID_19_Data_Analysis.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "COVID 19 Data Analysis",
      "provenance": [],
      "authorship_tag": "ABX9TyOR0But4E21fQtiG9aqcBxc",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Charanjeev-2k2/COVID-19-Data-Analysis/blob/main/COVID_19_Data_Analysis.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "t7gf9296RWqK"
      },
      "source": [
        "Import Modules"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xAurYV_4SQcB",
        "outputId": "47e65e49-fa7b-4a98-bec9-1cddc83327f6"
      },
      "source": [
        "import pandas as pd \n",
        "import numpy as np \n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt \n",
        "import io\n",
        "print('Modules are imported.')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Modules are imported.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YbYW25EYCGKO"
      },
      "source": [
        "Import COVID 19 Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": 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              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 73
        },
        "id": "A1sVN7BUgIpt",
        "outputId": "0bde78e7-7a7a-4efd-fbe5-08dcda8a4d37"
      },
      "source": [
        "#Import COVID 19 Dataset\n",
        "from google.colab import files\n",
        "uploaded = files.upload()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-89dbc4c4-617d-47ca-84f5-b86bfe50445e\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-89dbc4c4-617d-47ca-84f5-b86bfe50445e\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving time_series_covid19_confirmed_global.csv to time_series_covid19_confirmed_global.csv\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 244
        },
        "id": "nfwfnrE4tFd5",
        "outputId": "aa11814d-ac9a-4f56-f037-c41516ac968d"
      },
      "source": [
        "corona_dataset = pd.read_csv(io.BytesIO(uploaded['time_series_covid19_confirmed_global.csv'])) \n",
        "corona_dataset.head()"
      ],
      "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>Province/State</th>\n",
              "      <th>Country/Region</th>\n",
              "      <th>Lat</th>\n",
              "      <th>Long</th>\n",
              "      <th>1/22/20</th>\n",
              "      <th>1/23/20</th>\n",
              "      <th>1/24/20</th>\n",
              "      <th>1/25/20</th>\n",
              "      <th>1/26/20</th>\n",
              "      <th>1/27/20</th>\n",
              "      <th>1/28/20</th>\n",
              "      <th>1/29/20</th>\n",
              "      <th>1/30/20</th>\n",
              "      <th>1/31/20</th>\n",
              "      <th>2/1/20</th>\n",
              "      <th>2/2/20</th>\n",
              "      <th>2/3/20</th>\n",
              "      <th>2/4/20</th>\n",
              "      <th>2/5/20</th>\n",
              "      <th>2/6/20</th>\n",
              "      <th>2/7/20</th>\n",
              "      <th>2/8/20</th>\n",
              "      <th>2/9/20</th>\n",
              "      <th>2/10/20</th>\n",
              "      <th>2/11/20</th>\n",
              "      <th>2/12/20</th>\n",
              "      <th>2/13/20</th>\n",
              "      <th>2/14/20</th>\n",
              "      <th>2/15/20</th>\n",
              "      <th>2/16/20</th>\n",
              "      <th>2/17/20</th>\n",
              "      <th>2/18/20</th>\n",
              "      <th>2/19/20</th>\n",
              "      <th>2/20/20</th>\n",
              "      <th>2/21/20</th>\n",
              "      <th>2/22/20</th>\n",
              "      <th>2/23/20</th>\n",
              "      <th>2/24/20</th>\n",
              "      <th>2/25/20</th>\n",
              "      <th>2/26/20</th>\n",
              "      <th>...</th>\n",
              "      <th>2/17/21</th>\n",
              "      <th>2/18/21</th>\n",
              "      <th>2/19/21</th>\n",
              "      <th>2/20/21</th>\n",
              "      <th>2/21/21</th>\n",
              "      <th>2/22/21</th>\n",
              "      <th>2/23/21</th>\n",
              "      <th>2/24/21</th>\n",
              "      <th>2/25/21</th>\n",
              "      <th>2/26/21</th>\n",
              "      <th>2/27/21</th>\n",
              "      <th>2/28/21</th>\n",
              "      <th>3/1/21</th>\n",
              "      <th>3/2/21</th>\n",
              "      <th>3/3/21</th>\n",
              "      <th>3/4/21</th>\n",
              "      <th>3/5/21</th>\n",
              "      <th>3/6/21</th>\n",
              "      <th>3/7/21</th>\n",
              "      <th>3/8/21</th>\n",
              "      <th>3/9/21</th>\n",
              "      <th>3/10/21</th>\n",
              "      <th>3/11/21</th>\n",
              "      <th>3/12/21</th>\n",
              "      <th>3/13/21</th>\n",
              "      <th>3/14/21</th>\n",
              "      <th>3/15/21</th>\n",
              "      <th>3/16/21</th>\n",
              "      <th>3/17/21</th>\n",
              "      <th>3/18/21</th>\n",
              "      <th>3/19/21</th>\n",
              "      <th>3/20/21</th>\n",
              "      <th>3/21/21</th>\n",
              "      <th>3/22/21</th>\n",
              "      <th>3/23/21</th>\n",
              "      <th>3/24/21</th>\n",
              "      <th>3/25/21</th>\n",
              "      <th>3/26/21</th>\n",
              "      <th>3/27/21</th>\n",
              "      <th>3/28/21</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>33.93911</td>\n",
              "      <td>67.709953</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>55540</td>\n",
              "      <td>55557</td>\n",
              "      <td>55575</td>\n",
              "      <td>55580</td>\n",
              "      <td>55604</td>\n",
              "      <td>55617</td>\n",
              "      <td>55646</td>\n",
              "      <td>55664</td>\n",
              "      <td>55680</td>\n",
              "      <td>55696</td>\n",
              "      <td>55707</td>\n",
              "      <td>55714</td>\n",
              "      <td>55733</td>\n",
              "      <td>55759</td>\n",
              "      <td>55770</td>\n",
              "      <td>55775</td>\n",
              "      <td>55827</td>\n",
              "      <td>55840</td>\n",
              "      <td>55847</td>\n",
              "      <td>55876</td>\n",
              "      <td>55876</td>\n",
              "      <td>55894</td>\n",
              "      <td>55917</td>\n",
              "      <td>55959</td>\n",
              "      <td>55959</td>\n",
              "      <td>55985</td>\n",
              "      <td>55985</td>\n",
              "      <td>55995</td>\n",
              "      <td>56016</td>\n",
              "      <td>56044</td>\n",
              "      <td>56069</td>\n",
              "      <td>56093</td>\n",
              "      <td>56103</td>\n",
              "      <td>56153</td>\n",
              "      <td>56177</td>\n",
              "      <td>56192</td>\n",
              "      <td>56226</td>\n",
              "      <td>56254</td>\n",
              "      <td>56290</td>\n",
              "      <td>56294</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Albania</td>\n",
              "      <td>41.15330</td>\n",
              "      <td>20.168300</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>95726</td>\n",
              "      <td>96838</td>\n",
              "      <td>97909</td>\n",
              "      <td>99062</td>\n",
              "      <td>100246</td>\n",
              "      <td>101285</td>\n",
              "      <td>102306</td>\n",
              "      <td>103327</td>\n",
              "      <td>104313</td>\n",
              "      <td>105229</td>\n",
              "      <td>106215</td>\n",
              "      <td>107167</td>\n",
              "      <td>107931</td>\n",
              "      <td>108823</td>\n",
              "      <td>109674</td>\n",
              "      <td>110521</td>\n",
              "      <td>111301</td>\n",
              "      <td>112078</td>\n",
              "      <td>112897</td>\n",
              "      <td>113580</td>\n",
              "      <td>114209</td>\n",
              "      <td>114840</td>\n",
              "      <td>115442</td>\n",
              "      <td>116123</td>\n",
              "      <td>116821</td>\n",
              "      <td>117474</td>\n",
              "      <td>118017</td>\n",
              "      <td>118492</td>\n",
              "      <td>118938</td>\n",
              "      <td>119528</td>\n",
              "      <td>120022</td>\n",
              "      <td>120541</td>\n",
              "      <td>121200</td>\n",
              "      <td>121544</td>\n",
              "      <td>121847</td>\n",
              "      <td>122295</td>\n",
              "      <td>122767</td>\n",
              "      <td>123216</td>\n",
              "      <td>123641</td>\n",
              "      <td>124134</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>28.03390</td>\n",
              "      <td>1.659600</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>111247</td>\n",
              "      <td>111418</td>\n",
              "      <td>111600</td>\n",
              "      <td>111764</td>\n",
              "      <td>111917</td>\n",
              "      <td>112094</td>\n",
              "      <td>112279</td>\n",
              "      <td>112461</td>\n",
              "      <td>112622</td>\n",
              "      <td>112805</td>\n",
              "      <td>112960</td>\n",
              "      <td>113092</td>\n",
              "      <td>113255</td>\n",
              "      <td>113430</td>\n",
              "      <td>113593</td>\n",
              "      <td>113761</td>\n",
              "      <td>113948</td>\n",
              "      <td>114104</td>\n",
              "      <td>114234</td>\n",
              "      <td>114382</td>\n",
              "      <td>114543</td>\n",
              "      <td>114681</td>\n",
              "      <td>114851</td>\n",
              "      <td>115008</td>\n",
              "      <td>115143</td>\n",
              "      <td>115265</td>\n",
              "      <td>115410</td>\n",
              "      <td>115540</td>\n",
              "      <td>115688</td>\n",
              "      <td>115842</td>\n",
              "      <td>115970</td>\n",
              "      <td>116066</td>\n",
              "      <td>116157</td>\n",
              "      <td>116255</td>\n",
              "      <td>116349</td>\n",
              "      <td>116438</td>\n",
              "      <td>116543</td>\n",
              "      <td>116657</td>\n",
              "      <td>116750</td>\n",
              "      <td>116836</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Andorra</td>\n",
              "      <td>42.50630</td>\n",
              "      <td>1.521800</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>10583</td>\n",
              "      <td>10610</td>\n",
              "      <td>10645</td>\n",
              "      <td>10672</td>\n",
              "      <td>10699</td>\n",
              "      <td>10712</td>\n",
              "      <td>10739</td>\n",
              "      <td>10775</td>\n",
              "      <td>10799</td>\n",
              "      <td>10822</td>\n",
              "      <td>10849</td>\n",
              "      <td>10866</td>\n",
              "      <td>10889</td>\n",
              "      <td>10908</td>\n",
              "      <td>10948</td>\n",
              "      <td>10976</td>\n",
              "      <td>10998</td>\n",
              "      <td>11019</td>\n",
              "      <td>11042</td>\n",
              "      <td>11069</td>\n",
              "      <td>11089</td>\n",
              "      <td>11130</td>\n",
              "      <td>11130</td>\n",
              "      <td>11199</td>\n",
              "      <td>11228</td>\n",
              "      <td>11266</td>\n",
              "      <td>11289</td>\n",
              "      <td>11319</td>\n",
              "      <td>11360</td>\n",
              "      <td>11393</td>\n",
              "      <td>11431</td>\n",
              "      <td>11481</td>\n",
              "      <td>11517</td>\n",
              "      <td>11545</td>\n",
              "      <td>11591</td>\n",
              "      <td>11638</td>\n",
              "      <td>11687</td>\n",
              "      <td>11732</td>\n",
              "      <td>11809</td>\n",
              "      <td>11850</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Angola</td>\n",
              "      <td>-11.20270</td>\n",
              "      <td>17.873900</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>20400</td>\n",
              "      <td>20452</td>\n",
              "      <td>20478</td>\n",
              "      <td>20499</td>\n",
              "      <td>20519</td>\n",
              "      <td>20548</td>\n",
              "      <td>20584</td>\n",
              "      <td>20640</td>\n",
              "      <td>20695</td>\n",
              "      <td>20759</td>\n",
              "      <td>20782</td>\n",
              "      <td>20807</td>\n",
              "      <td>20854</td>\n",
              "      <td>20882</td>\n",
              "      <td>20923</td>\n",
              "      <td>20981</td>\n",
              "      <td>21026</td>\n",
              "      <td>21055</td>\n",
              "      <td>21086</td>\n",
              "      <td>21108</td>\n",
              "      <td>21114</td>\n",
              "      <td>21161</td>\n",
              "      <td>21205</td>\n",
              "      <td>21265</td>\n",
              "      <td>21323</td>\n",
              "      <td>21380</td>\n",
              "      <td>21407</td>\n",
              "      <td>21446</td>\n",
              "      <td>21489</td>\n",
              "      <td>21558</td>\n",
              "      <td>21642</td>\n",
              "      <td>21696</td>\n",
              "      <td>21733</td>\n",
              "      <td>21757</td>\n",
              "      <td>21774</td>\n",
              "      <td>21836</td>\n",
              "      <td>21914</td>\n",
              "      <td>21961</td>\n",
              "      <td>22031</td>\n",
              "      <td>22063</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 436 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "  Province/State Country/Region       Lat  ...  3/26/21  3/27/21  3/28/21\n",
              "0            NaN    Afghanistan  33.93911  ...    56254    56290    56294\n",
              "1            NaN        Albania  41.15330  ...   123216   123641   124134\n",
              "2            NaN        Algeria  28.03390  ...   116657   116750   116836\n",
              "3            NaN        Andorra  42.50630  ...    11732    11809    11850\n",
              "4            NaN         Angola -11.20270  ...    21961    22031    22063\n",
              "\n",
              "[5 rows x 436 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7TMzDrANCq6X",
        "outputId": "9e0b9cc7-c29d-4234-ced0-655170a9544d"
      },
      "source": [
        "#Check Shape\n",
        "corona_dataset.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(274, 436)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 438
        },
        "id": "AVd6qV-cgRXs",
        "outputId": "687aacc2-7412-4447-f22b-dc2505949a24"
      },
      "source": [
        "#Delete useless columns\n",
        "corona_dataset.drop(['Lat','Long'],axis=1,inplace=True)\n",
        "#Aggregate rows by country\n",
        "corona_dataset_aggregated = corona_dataset.groupby(\"Country/Region\").sum()\n",
        "corona_dataset_aggregated.head(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>3/10/21</th>\n",
              "      <th>3/11/21</th>\n",
              "      <th>3/12/21</th>\n",
              "      <th>3/13/21</th>\n",
              "      <th>3/14/21</th>\n",
              "      <th>3/15/21</th>\n",
              "      <th>3/16/21</th>\n",
              "      <th>3/17/21</th>\n",
              "      <th>3/18/21</th>\n",
              "      <th>3/19/21</th>\n",
              "      <th>3/20/21</th>\n",
              "      <th>3/21/21</th>\n",
              "      <th>3/22/21</th>\n",
              "      <th>3/23/21</th>\n",
              "      <th>3/24/21</th>\n",
              "      <th>3/25/21</th>\n",
              "      <th>3/26/21</th>\n",
              "      <th>3/27/21</th>\n",
              "      <th>3/28/21</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Country/Region</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Afghanistan</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>55540</td>\n",
              "      <td>55557</td>\n",
              "      <td>55575</td>\n",
              "      <td>55580</td>\n",
              "      <td>55604</td>\n",
              "      <td>55617</td>\n",
              "      <td>55646</td>\n",
              "      <td>55664</td>\n",
              "      <td>55680</td>\n",
              "      <td>55696</td>\n",
              "      <td>55707</td>\n",
              "      <td>55714</td>\n",
              "      <td>55733</td>\n",
              "      <td>55759</td>\n",
              "      <td>55770</td>\n",
              "      <td>55775</td>\n",
              "      <td>55827</td>\n",
              "      <td>55840</td>\n",
              "      <td>55847</td>\n",
              "      <td>55876</td>\n",
              "      <td>55876</td>\n",
              "      <td>55894</td>\n",
              "      <td>55917</td>\n",
              "      <td>55959</td>\n",
              "      <td>55959</td>\n",
              "      <td>55985</td>\n",
              "      <td>55985</td>\n",
              "      <td>55995</td>\n",
              "      <td>56016</td>\n",
              "      <td>56044</td>\n",
              "      <td>56069</td>\n",
              "      <td>56093</td>\n",
              "      <td>56103</td>\n",
              "      <td>56153</td>\n",
              "      <td>56177</td>\n",
              "      <td>56192</td>\n",
              "      <td>56226</td>\n",
              "      <td>56254</td>\n",
              "      <td>56290</td>\n",
              "      <td>56294</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Albania</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>95726</td>\n",
              "      <td>96838</td>\n",
              "      <td>97909</td>\n",
              "      <td>99062</td>\n",
              "      <td>100246</td>\n",
              "      <td>101285</td>\n",
              "      <td>102306</td>\n",
              "      <td>103327</td>\n",
              "      <td>104313</td>\n",
              "      <td>105229</td>\n",
              "      <td>106215</td>\n",
              "      <td>107167</td>\n",
              "      <td>107931</td>\n",
              "      <td>108823</td>\n",
              "      <td>109674</td>\n",
              "      <td>110521</td>\n",
              "      <td>111301</td>\n",
              "      <td>112078</td>\n",
              "      <td>112897</td>\n",
              "      <td>113580</td>\n",
              "      <td>114209</td>\n",
              "      <td>114840</td>\n",
              "      <td>115442</td>\n",
              "      <td>116123</td>\n",
              "      <td>116821</td>\n",
              "      <td>117474</td>\n",
              "      <td>118017</td>\n",
              "      <td>118492</td>\n",
              "      <td>118938</td>\n",
              "      <td>119528</td>\n",
              "      <td>120022</td>\n",
              "      <td>120541</td>\n",
              "      <td>121200</td>\n",
              "      <td>121544</td>\n",
              "      <td>121847</td>\n",
              "      <td>122295</td>\n",
              "      <td>122767</td>\n",
              "      <td>123216</td>\n",
              "      <td>123641</td>\n",
              "      <td>124134</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Algeria</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>111247</td>\n",
              "      <td>111418</td>\n",
              "      <td>111600</td>\n",
              "      <td>111764</td>\n",
              "      <td>111917</td>\n",
              "      <td>112094</td>\n",
              "      <td>112279</td>\n",
              "      <td>112461</td>\n",
              "      <td>112622</td>\n",
              "      <td>112805</td>\n",
              "      <td>112960</td>\n",
              "      <td>113092</td>\n",
              "      <td>113255</td>\n",
              "      <td>113430</td>\n",
              "      <td>113593</td>\n",
              "      <td>113761</td>\n",
              "      <td>113948</td>\n",
              "      <td>114104</td>\n",
              "      <td>114234</td>\n",
              "      <td>114382</td>\n",
              "      <td>114543</td>\n",
              "      <td>114681</td>\n",
              "      <td>114851</td>\n",
              "      <td>115008</td>\n",
              "      <td>115143</td>\n",
              "      <td>115265</td>\n",
              "      <td>115410</td>\n",
              "      <td>115540</td>\n",
              "      <td>115688</td>\n",
              "      <td>115842</td>\n",
              "      <td>115970</td>\n",
              "      <td>116066</td>\n",
              "      <td>116157</td>\n",
              "      <td>116255</td>\n",
              "      <td>116349</td>\n",
              "      <td>116438</td>\n",
              "      <td>116543</td>\n",
              "      <td>116657</td>\n",
              "      <td>116750</td>\n",
              "      <td>116836</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Andorra</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>10583</td>\n",
              "      <td>10610</td>\n",
              "      <td>10645</td>\n",
              "      <td>10672</td>\n",
              "      <td>10699</td>\n",
              "      <td>10712</td>\n",
              "      <td>10739</td>\n",
              "      <td>10775</td>\n",
              "      <td>10799</td>\n",
              "      <td>10822</td>\n",
              "      <td>10849</td>\n",
              "      <td>10866</td>\n",
              "      <td>10889</td>\n",
              "      <td>10908</td>\n",
              "      <td>10948</td>\n",
              "      <td>10976</td>\n",
              "      <td>10998</td>\n",
              "      <td>11019</td>\n",
              "      <td>11042</td>\n",
              "      <td>11069</td>\n",
              "      <td>11089</td>\n",
              "      <td>11130</td>\n",
              "      <td>11130</td>\n",
              "      <td>11199</td>\n",
              "      <td>11228</td>\n",
              "      <td>11266</td>\n",
              "      <td>11289</td>\n",
              "      <td>11319</td>\n",
              "      <td>11360</td>\n",
              "      <td>11393</td>\n",
              "      <td>11431</td>\n",
              "      <td>11481</td>\n",
              "      <td>11517</td>\n",
              "      <td>11545</td>\n",
              "      <td>11591</td>\n",
              "      <td>11638</td>\n",
              "      <td>11687</td>\n",
              "      <td>11732</td>\n",
              "      <td>11809</td>\n",
              "      <td>11850</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Angola</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>20400</td>\n",
              "      <td>20452</td>\n",
              "      <td>20478</td>\n",
              "      <td>20499</td>\n",
              "      <td>20519</td>\n",
              "      <td>20548</td>\n",
              "      <td>20584</td>\n",
              "      <td>20640</td>\n",
              "      <td>20695</td>\n",
              "      <td>20759</td>\n",
              "      <td>20782</td>\n",
              "      <td>20807</td>\n",
              "      <td>20854</td>\n",
              "      <td>20882</td>\n",
              "      <td>20923</td>\n",
              "      <td>20981</td>\n",
              "      <td>21026</td>\n",
              "      <td>21055</td>\n",
              "      <td>21086</td>\n",
              "      <td>21108</td>\n",
              "      <td>21114</td>\n",
              "      <td>21161</td>\n",
              "      <td>21205</td>\n",
              "      <td>21265</td>\n",
              "      <td>21323</td>\n",
              "      <td>21380</td>\n",
              "      <td>21407</td>\n",
              "      <td>21446</td>\n",
              "      <td>21489</td>\n",
              "      <td>21558</td>\n",
              "      <td>21642</td>\n",
              "      <td>21696</td>\n",
              "      <td>21733</td>\n",
              "      <td>21757</td>\n",
              "      <td>21774</td>\n",
              "      <td>21836</td>\n",
              "      <td>21914</td>\n",
              "      <td>21961</td>\n",
              "      <td>22031</td>\n",
              "      <td>22063</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Antigua and Barbuda</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>525</td>\n",
              "      <td>548</td>\n",
              "      <td>548</td>\n",
              "      <td>598</td>\n",
              "      <td>598</td>\n",
              "      <td>614</td>\n",
              "      <td>636</td>\n",
              "      <td>646</td>\n",
              "      <td>701</td>\n",
              "      <td>701</td>\n",
              "      <td>726</td>\n",
              "      <td>730</td>\n",
              "      <td>769</td>\n",
              "      <td>769</td>\n",
              "      <td>769</td>\n",
              "      <td>813</td>\n",
              "      <td>813</td>\n",
              "      <td>813</td>\n",
              "      <td>848</td>\n",
              "      <td>848</td>\n",
              "      <td>862</td>\n",
              "      <td>882</td>\n",
              "      <td>882</td>\n",
              "      <td>945</td>\n",
              "      <td>962</td>\n",
              "      <td>963</td>\n",
              "      <td>963</td>\n",
              "      <td>992</td>\n",
              "      <td>992</td>\n",
              "      <td>1008</td>\n",
              "      <td>1011</td>\n",
              "      <td>1033</td>\n",
              "      <td>1033</td>\n",
              "      <td>1072</td>\n",
              "      <td>1080</td>\n",
              "      <td>1080</td>\n",
              "      <td>1103</td>\n",
              "      <td>1122</td>\n",
              "      <td>1122</td>\n",
              "      <td>1128</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Argentina</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2039124</td>\n",
              "      <td>2046795</td>\n",
              "      <td>2054681</td>\n",
              "      <td>2060625</td>\n",
              "      <td>2064334</td>\n",
              "      <td>2069751</td>\n",
              "      <td>2077228</td>\n",
              "      <td>2085411</td>\n",
              "      <td>2093645</td>\n",
              "      <td>2098728</td>\n",
              "      <td>2104197</td>\n",
              "      <td>2107365</td>\n",
              "      <td>2112023</td>\n",
              "      <td>2118676</td>\n",
              "      <td>2126531</td>\n",
              "      <td>2133963</td>\n",
              "      <td>2141854</td>\n",
              "      <td>2146714</td>\n",
              "      <td>2149636</td>\n",
              "      <td>2154694</td>\n",
              "      <td>2162001</td>\n",
              "      <td>2169694</td>\n",
              "      <td>2177898</td>\n",
              "      <td>2185747</td>\n",
              "      <td>2192025</td>\n",
              "      <td>2195722</td>\n",
              "      <td>2201886</td>\n",
              "      <td>2210121</td>\n",
              "      <td>2218425</td>\n",
              "      <td>2226753</td>\n",
              "      <td>2234913</td>\n",
              "      <td>2241739</td>\n",
              "      <td>2245771</td>\n",
              "      <td>2252172</td>\n",
              "      <td>2261577</td>\n",
              "      <td>2269877</td>\n",
              "      <td>2278115</td>\n",
              "      <td>2291051</td>\n",
              "      <td>2301389</td>\n",
              "      <td>2308597</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Armenia</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>169597</td>\n",
              "      <td>169820</td>\n",
              "      <td>170011</td>\n",
              "      <td>170234</td>\n",
              "      <td>170402</td>\n",
              "      <td>170506</td>\n",
              "      <td>170672</td>\n",
              "      <td>170945</td>\n",
              "      <td>171227</td>\n",
              "      <td>171510</td>\n",
              "      <td>171793</td>\n",
              "      <td>172058</td>\n",
              "      <td>172216</td>\n",
              "      <td>172456</td>\n",
              "      <td>172816</td>\n",
              "      <td>173307</td>\n",
              "      <td>173749</td>\n",
              "      <td>174257</td>\n",
              "      <td>174679</td>\n",
              "      <td>175016</td>\n",
              "      <td>175198</td>\n",
              "      <td>175538</td>\n",
              "      <td>176286</td>\n",
              "      <td>177104</td>\n",
              "      <td>177899</td>\n",
              "      <td>178385</td>\n",
              "      <td>178702</td>\n",
              "      <td>179287</td>\n",
              "      <td>180141</td>\n",
              "      <td>181165</td>\n",
              "      <td>182056</td>\n",
              "      <td>183127</td>\n",
              "      <td>183713</td>\n",
              "      <td>184219</td>\n",
              "      <td>185020</td>\n",
              "      <td>186184</td>\n",
              "      <td>187441</td>\n",
              "      <td>188446</td>\n",
              "      <td>189540</td>\n",
              "      <td>190317</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Australia</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>6</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>13</td>\n",
              "      <td>13</td>\n",
              "      <td>14</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>25</td>\n",
              "      <td>27</td>\n",
              "      <td>...</td>\n",
              "      <td>28912</td>\n",
              "      <td>28918</td>\n",
              "      <td>28920</td>\n",
              "      <td>28926</td>\n",
              "      <td>28930</td>\n",
              "      <td>28937</td>\n",
              "      <td>28939</td>\n",
              "      <td>28947</td>\n",
              "      <td>28957</td>\n",
              "      <td>28965</td>\n",
              "      <td>28970</td>\n",
              "      <td>28978</td>\n",
              "      <td>28986</td>\n",
              "      <td>28996</td>\n",
              "      <td>29007</td>\n",
              "      <td>29021</td>\n",
              "      <td>29029</td>\n",
              "      <td>29034</td>\n",
              "      <td>29046</td>\n",
              "      <td>29061</td>\n",
              "      <td>29074</td>\n",
              "      <td>29090</td>\n",
              "      <td>29102</td>\n",
              "      <td>29112</td>\n",
              "      <td>29117</td>\n",
              "      <td>29130</td>\n",
              "      <td>29137</td>\n",
              "      <td>29154</td>\n",
              "      <td>29166</td>\n",
              "      <td>29183</td>\n",
              "      <td>29192</td>\n",
              "      <td>29196</td>\n",
              "      <td>29206</td>\n",
              "      <td>29211</td>\n",
              "      <td>29221</td>\n",
              "      <td>29230</td>\n",
              "      <td>29239</td>\n",
              "      <td>29252</td>\n",
              "      <td>29259</td>\n",
              "      <td>29276</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Austria</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>14</td>\n",
              "      <td>...</td>\n",
              "      <td>437874</td>\n",
              "      <td>439841</td>\n",
              "      <td>441659</td>\n",
              "      <td>443536</td>\n",
              "      <td>445374</td>\n",
              "      <td>446644</td>\n",
              "      <td>448371</td>\n",
              "      <td>450376</td>\n",
              "      <td>452767</td>\n",
              "      <td>454860</td>\n",
              "      <td>457317</td>\n",
              "      <td>459440</td>\n",
              "      <td>460849</td>\n",
              "      <td>462769</td>\n",
              "      <td>465322</td>\n",
              "      <td>467646</td>\n",
              "      <td>470314</td>\n",
              "      <td>472871</td>\n",
              "      <td>475070</td>\n",
              "      <td>476980</td>\n",
              "      <td>479391</td>\n",
              "      <td>481919</td>\n",
              "      <td>484916</td>\n",
              "      <td>488042</td>\n",
              "      <td>491065</td>\n",
              "      <td>493568</td>\n",
              "      <td>495464</td>\n",
              "      <td>497889</td>\n",
              "      <td>501224</td>\n",
              "      <td>504581</td>\n",
              "      <td>508096</td>\n",
              "      <td>511440</td>\n",
              "      <td>514153</td>\n",
              "      <td>516565</td>\n",
              "      <td>519980</td>\n",
              "      <td>523269</td>\n",
              "      <td>526393</td>\n",
              "      <td>530288</td>\n",
              "      <td>533786</td>\n",
              "      <td>536465</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>10 rows × 432 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                     1/22/20  1/23/20  1/24/20  ...  3/26/21  3/27/21  3/28/21\n",
              "Country/Region                                  ...                           \n",
              "Afghanistan                0        0        0  ...    56254    56290    56294\n",
              "Albania                    0        0        0  ...   123216   123641   124134\n",
              "Algeria                    0        0        0  ...   116657   116750   116836\n",
              "Andorra                    0        0        0  ...    11732    11809    11850\n",
              "Angola                     0        0        0  ...    21961    22031    22063\n",
              "Antigua and Barbuda        0        0        0  ...     1122     1122     1128\n",
              "Argentina                  0        0        0  ...  2291051  2301389  2308597\n",
              "Armenia                    0        0        0  ...   188446   189540   190317\n",
              "Australia                  0        0        0  ...    29252    29259    29276\n",
              "Austria                    0        0        0  ...   530288   533786   536465\n",
              "\n",
              "[10 rows x 432 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TYcHkseRgn1Y",
        "outputId": "99140beb-9382-4652-9c05-180e004896f6"
      },
      "source": [
        "corona_dataset_aggregated.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(192, 432)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jSIDVvKVC6GD"
      },
      "source": [
        "Visualizing data related to a country"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 293
        },
        "id": "O7ZTaUvGgrHY",
        "outputId": "ce9aa3b4-6af2-49b4-aba9-1c291be19b3c"
      },
      "source": [
        "corona_dataset_aggregated.loc['China'].plot()\n",
        "corona_dataset_aggregated.loc['Italy'].plot()\n",
        "corona_dataset_aggregated.loc['Spain'].plot()\n",
        "plt.legend()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7feef6e6cc90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 83
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LeIWmXBODEac"
      },
      "source": [
        "Calculating a good measure"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "OjDpVTDlgyeR",
        "outputId": "19915ad9-4f85-4785-c79a-41cf3091cbbb"
      },
      "source": [
        "corona_dataset_aggregated.loc['China'].plot()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7feef6dbf610>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 84
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "oQ_LABQCg35f",
        "outputId": "6811152f-2a49-48fa-8030-d7ffa5f3ebc4"
      },
      "source": [
        "#Calculating first derivative of curve\n",
        "corona_dataset_aggregated.loc['China'].diff().plot()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7feef6d81810>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 85
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MBAGidUPg_ce",
        "outputId": "25f4492b-1e47-4fa7-a5c4-390b757dc542"
      },
      "source": [
        "print(corona_dataset_aggregated.loc['China'].diff().max())\n",
        "print(corona_dataset_aggregated.loc['Italy'].diff().max())\n",
        "print(corona_dataset_aggregated.loc['Spain'].diff().max())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "15136.0\n",
            "40902.0\n",
            "93822.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6krYFRjTDd8d"
      },
      "source": [
        "Finding max infection rate for each country"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "kTOAHKjjhMEK",
        "outputId": "8414c226-8e6b-4cd8-edac-69cd431b8246"
      },
      "source": [
        "countries = list(corona_dataset_aggregated.index)\n",
        "max_infection_rates = []\n",
        "for country in countries :\n",
        "    max_infection_rates.append(corona_dataset_aggregated.loc[country].diff().max())\n",
        "corona_dataset_aggregated['max infection rate'] = max_infection_rates\n",
        "corona_dataset_aggregated.head(10)"
      ],
      "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>1/22/20</th>\n",
              "      <th>1/23/20</th>\n",
              "      <th>1/24/20</th>\n",
              "      <th>1/25/20</th>\n",
              "      <th>1/26/20</th>\n",
              "      <th>1/27/20</th>\n",
              "      <th>1/28/20</th>\n",
              "      <th>1/29/20</th>\n",
              "      <th>1/30/20</th>\n",
              "      <th>1/31/20</th>\n",
              "      <th>2/1/20</th>\n",
              "      <th>2/2/20</th>\n",
              "      <th>2/3/20</th>\n",
              "      <th>2/4/20</th>\n",
              "      <th>2/5/20</th>\n",
              "      <th>2/6/20</th>\n",
              "      <th>2/7/20</th>\n",
              "      <th>2/8/20</th>\n",
              "      <th>2/9/20</th>\n",
              "      <th>2/10/20</th>\n",
              "      <th>2/11/20</th>\n",
              "      <th>2/12/20</th>\n",
              "      <th>2/13/20</th>\n",
              "      <th>2/14/20</th>\n",
              "      <th>2/15/20</th>\n",
              "      <th>2/16/20</th>\n",
              "      <th>2/17/20</th>\n",
              "      <th>2/18/20</th>\n",
              "      <th>2/19/20</th>\n",
              "      <th>2/20/20</th>\n",
              "      <th>2/21/20</th>\n",
              "      <th>2/22/20</th>\n",
              "      <th>2/23/20</th>\n",
              "      <th>2/24/20</th>\n",
              "      <th>2/25/20</th>\n",
              "      <th>2/26/20</th>\n",
              "      <th>2/27/20</th>\n",
              "      <th>2/28/20</th>\n",
              "      <th>2/29/20</th>\n",
              "      <th>3/1/20</th>\n",
              "      <th>...</th>\n",
              "      <th>2/18/21</th>\n",
              "      <th>2/19/21</th>\n",
              "      <th>2/20/21</th>\n",
              "      <th>2/21/21</th>\n",
              "      <th>2/22/21</th>\n",
              "      <th>2/23/21</th>\n",
              "      <th>2/24/21</th>\n",
              "      <th>2/25/21</th>\n",
              "      <th>2/26/21</th>\n",
              "      <th>2/27/21</th>\n",
              "      <th>2/28/21</th>\n",
              "      <th>3/1/21</th>\n",
              "      <th>3/2/21</th>\n",
              "      <th>3/3/21</th>\n",
              "      <th>3/4/21</th>\n",
              "      <th>3/5/21</th>\n",
              "      <th>3/6/21</th>\n",
              "      <th>3/7/21</th>\n",
              "      <th>3/8/21</th>\n",
              "      <th>3/9/21</th>\n",
              "      <th>3/10/21</th>\n",
              "      <th>3/11/21</th>\n",
              "      <th>3/12/21</th>\n",
              "      <th>3/13/21</th>\n",
              "      <th>3/14/21</th>\n",
              "      <th>3/15/21</th>\n",
              "      <th>3/16/21</th>\n",
              "      <th>3/17/21</th>\n",
              "      <th>3/18/21</th>\n",
              "      <th>3/19/21</th>\n",
              "      <th>3/20/21</th>\n",
              "      <th>3/21/21</th>\n",
              "      <th>3/22/21</th>\n",
              "      <th>3/23/21</th>\n",
              "      <th>3/24/21</th>\n",
              "      <th>3/25/21</th>\n",
              "      <th>3/26/21</th>\n",
              "      <th>3/27/21</th>\n",
              "      <th>3/28/21</th>\n",
              "      <th>max infection rate</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Country/Region</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Afghanistan</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>55557</td>\n",
              "      <td>55575</td>\n",
              "      <td>55580</td>\n",
              "      <td>55604</td>\n",
              "      <td>55617</td>\n",
              "      <td>55646</td>\n",
              "      <td>55664</td>\n",
              "      <td>55680</td>\n",
              "      <td>55696</td>\n",
              "      <td>55707</td>\n",
              "      <td>55714</td>\n",
              "      <td>55733</td>\n",
              "      <td>55759</td>\n",
              "      <td>55770</td>\n",
              "      <td>55775</td>\n",
              "      <td>55827</td>\n",
              "      <td>55840</td>\n",
              "      <td>55847</td>\n",
              "      <td>55876</td>\n",
              "      <td>55876</td>\n",
              "      <td>55894</td>\n",
              "      <td>55917</td>\n",
              "      <td>55959</td>\n",
              "      <td>55959</td>\n",
              "      <td>55985</td>\n",
              "      <td>55985</td>\n",
              "      <td>55995</td>\n",
              "      <td>56016</td>\n",
              "      <td>56044</td>\n",
              "      <td>56069</td>\n",
              "      <td>56093</td>\n",
              "      <td>56103</td>\n",
              "      <td>56153</td>\n",
              "      <td>56177</td>\n",
              "      <td>56192</td>\n",
              "      <td>56226</td>\n",
              "      <td>56254</td>\n",
              "      <td>56290</td>\n",
              "      <td>56294</td>\n",
              "      <td>1485.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Albania</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>96838</td>\n",
              "      <td>97909</td>\n",
              "      <td>99062</td>\n",
              "      <td>100246</td>\n",
              "      <td>101285</td>\n",
              "      <td>102306</td>\n",
              "      <td>103327</td>\n",
              "      <td>104313</td>\n",
              "      <td>105229</td>\n",
              "      <td>106215</td>\n",
              "      <td>107167</td>\n",
              "      <td>107931</td>\n",
              "      <td>108823</td>\n",
              "      <td>109674</td>\n",
              "      <td>110521</td>\n",
              "      <td>111301</td>\n",
              "      <td>112078</td>\n",
              "      <td>112897</td>\n",
              "      <td>113580</td>\n",
              "      <td>114209</td>\n",
              "      <td>114840</td>\n",
              "      <td>115442</td>\n",
              "      <td>116123</td>\n",
              "      <td>116821</td>\n",
              "      <td>117474</td>\n",
              "      <td>118017</td>\n",
              "      <td>118492</td>\n",
              "      <td>118938</td>\n",
              "      <td>119528</td>\n",
              "      <td>120022</td>\n",
              "      <td>120541</td>\n",
              "      <td>121200</td>\n",
              "      <td>121544</td>\n",
              "      <td>121847</td>\n",
              "      <td>122295</td>\n",
              "      <td>122767</td>\n",
              "      <td>123216</td>\n",
              "      <td>123641</td>\n",
              "      <td>124134</td>\n",
              "      <td>1239.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Algeria</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>111418</td>\n",
              "      <td>111600</td>\n",
              "      <td>111764</td>\n",
              "      <td>111917</td>\n",
              "      <td>112094</td>\n",
              "      <td>112279</td>\n",
              "      <td>112461</td>\n",
              "      <td>112622</td>\n",
              "      <td>112805</td>\n",
              "      <td>112960</td>\n",
              "      <td>113092</td>\n",
              "      <td>113255</td>\n",
              "      <td>113430</td>\n",
              "      <td>113593</td>\n",
              "      <td>113761</td>\n",
              "      <td>113948</td>\n",
              "      <td>114104</td>\n",
              "      <td>114234</td>\n",
              "      <td>114382</td>\n",
              "      <td>114543</td>\n",
              "      <td>114681</td>\n",
              "      <td>114851</td>\n",
              "      <td>115008</td>\n",
              "      <td>115143</td>\n",
              "      <td>115265</td>\n",
              "      <td>115410</td>\n",
              "      <td>115540</td>\n",
              "      <td>115688</td>\n",
              "      <td>115842</td>\n",
              "      <td>115970</td>\n",
              "      <td>116066</td>\n",
              "      <td>116157</td>\n",
              "      <td>116255</td>\n",
              "      <td>116349</td>\n",
              "      <td>116438</td>\n",
              "      <td>116543</td>\n",
              "      <td>116657</td>\n",
              "      <td>116750</td>\n",
              "      <td>116836</td>\n",
              "      <td>1133.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Andorra</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>10610</td>\n",
              "      <td>10645</td>\n",
              "      <td>10672</td>\n",
              "      <td>10699</td>\n",
              "      <td>10712</td>\n",
              "      <td>10739</td>\n",
              "      <td>10775</td>\n",
              "      <td>10799</td>\n",
              "      <td>10822</td>\n",
              "      <td>10849</td>\n",
              "      <td>10866</td>\n",
              "      <td>10889</td>\n",
              "      <td>10908</td>\n",
              "      <td>10948</td>\n",
              "      <td>10976</td>\n",
              "      <td>10998</td>\n",
              "      <td>11019</td>\n",
              "      <td>11042</td>\n",
              "      <td>11069</td>\n",
              "      <td>11089</td>\n",
              "      <td>11130</td>\n",
              "      <td>11130</td>\n",
              "      <td>11199</td>\n",
              "      <td>11228</td>\n",
              "      <td>11266</td>\n",
              "      <td>11289</td>\n",
              "      <td>11319</td>\n",
              "      <td>11360</td>\n",
              "      <td>11393</td>\n",
              "      <td>11431</td>\n",
              "      <td>11481</td>\n",
              "      <td>11517</td>\n",
              "      <td>11545</td>\n",
              "      <td>11591</td>\n",
              "      <td>11638</td>\n",
              "      <td>11687</td>\n",
              "      <td>11732</td>\n",
              "      <td>11809</td>\n",
              "      <td>11850</td>\n",
              "      <td>299.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Angola</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>20452</td>\n",
              "      <td>20478</td>\n",
              "      <td>20499</td>\n",
              "      <td>20519</td>\n",
              "      <td>20548</td>\n",
              "      <td>20584</td>\n",
              "      <td>20640</td>\n",
              "      <td>20695</td>\n",
              "      <td>20759</td>\n",
              "      <td>20782</td>\n",
              "      <td>20807</td>\n",
              "      <td>20854</td>\n",
              "      <td>20882</td>\n",
              "      <td>20923</td>\n",
              "      <td>20981</td>\n",
              "      <td>21026</td>\n",
              "      <td>21055</td>\n",
              "      <td>21086</td>\n",
              "      <td>21108</td>\n",
              "      <td>21114</td>\n",
              "      <td>21161</td>\n",
              "      <td>21205</td>\n",
              "      <td>21265</td>\n",
              "      <td>21323</td>\n",
              "      <td>21380</td>\n",
              "      <td>21407</td>\n",
              "      <td>21446</td>\n",
              "      <td>21489</td>\n",
              "      <td>21558</td>\n",
              "      <td>21642</td>\n",
              "      <td>21696</td>\n",
              "      <td>21733</td>\n",
              "      <td>21757</td>\n",
              "      <td>21774</td>\n",
              "      <td>21836</td>\n",
              "      <td>21914</td>\n",
              "      <td>21961</td>\n",
              "      <td>22031</td>\n",
              "      <td>22063</td>\n",
              "      <td>355.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Antigua and Barbuda</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>548</td>\n",
              "      <td>548</td>\n",
              "      <td>598</td>\n",
              "      <td>598</td>\n",
              "      <td>614</td>\n",
              "      <td>636</td>\n",
              "      <td>646</td>\n",
              "      <td>701</td>\n",
              "      <td>701</td>\n",
              "      <td>726</td>\n",
              "      <td>730</td>\n",
              "      <td>769</td>\n",
              "      <td>769</td>\n",
              "      <td>769</td>\n",
              "      <td>813</td>\n",
              "      <td>813</td>\n",
              "      <td>813</td>\n",
              "      <td>848</td>\n",
              "      <td>848</td>\n",
              "      <td>862</td>\n",
              "      <td>882</td>\n",
              "      <td>882</td>\n",
              "      <td>945</td>\n",
              "      <td>962</td>\n",
              "      <td>963</td>\n",
              "      <td>963</td>\n",
              "      <td>992</td>\n",
              "      <td>992</td>\n",
              "      <td>1008</td>\n",
              "      <td>1011</td>\n",
              "      <td>1033</td>\n",
              "      <td>1033</td>\n",
              "      <td>1072</td>\n",
              "      <td>1080</td>\n",
              "      <td>1080</td>\n",
              "      <td>1103</td>\n",
              "      <td>1122</td>\n",
              "      <td>1122</td>\n",
              "      <td>1128</td>\n",
              "      <td>82.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Argentina</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2046795</td>\n",
              "      <td>2054681</td>\n",
              "      <td>2060625</td>\n",
              "      <td>2064334</td>\n",
              "      <td>2069751</td>\n",
              "      <td>2077228</td>\n",
              "      <td>2085411</td>\n",
              "      <td>2093645</td>\n",
              "      <td>2098728</td>\n",
              "      <td>2104197</td>\n",
              "      <td>2107365</td>\n",
              "      <td>2112023</td>\n",
              "      <td>2118676</td>\n",
              "      <td>2126531</td>\n",
              "      <td>2133963</td>\n",
              "      <td>2141854</td>\n",
              "      <td>2146714</td>\n",
              "      <td>2149636</td>\n",
              "      <td>2154694</td>\n",
              "      <td>2162001</td>\n",
              "      <td>2169694</td>\n",
              "      <td>2177898</td>\n",
              "      <td>2185747</td>\n",
              "      <td>2192025</td>\n",
              "      <td>2195722</td>\n",
              "      <td>2201886</td>\n",
              "      <td>2210121</td>\n",
              "      <td>2218425</td>\n",
              "      <td>2226753</td>\n",
              "      <td>2234913</td>\n",
              "      <td>2241739</td>\n",
              "      <td>2245771</td>\n",
              "      <td>2252172</td>\n",
              "      <td>2261577</td>\n",
              "      <td>2269877</td>\n",
              "      <td>2278115</td>\n",
              "      <td>2291051</td>\n",
              "      <td>2301389</td>\n",
              "      <td>2308597</td>\n",
              "      <td>18326.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Armenia</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>169820</td>\n",
              "      <td>170011</td>\n",
              "      <td>170234</td>\n",
              "      <td>170402</td>\n",
              "      <td>170506</td>\n",
              "      <td>170672</td>\n",
              "      <td>170945</td>\n",
              "      <td>171227</td>\n",
              "      <td>171510</td>\n",
              "      <td>171793</td>\n",
              "      <td>172058</td>\n",
              "      <td>172216</td>\n",
              "      <td>172456</td>\n",
              "      <td>172816</td>\n",
              "      <td>173307</td>\n",
              "      <td>173749</td>\n",
              "      <td>174257</td>\n",
              "      <td>174679</td>\n",
              "      <td>175016</td>\n",
              "      <td>175198</td>\n",
              "      <td>175538</td>\n",
              "      <td>176286</td>\n",
              "      <td>177104</td>\n",
              "      <td>177899</td>\n",
              "      <td>178385</td>\n",
              "      <td>178702</td>\n",
              "      <td>179287</td>\n",
              "      <td>180141</td>\n",
              "      <td>181165</td>\n",
              "      <td>182056</td>\n",
              "      <td>183127</td>\n",
              "      <td>183713</td>\n",
              "      <td>184219</td>\n",
              "      <td>185020</td>\n",
              "      <td>186184</td>\n",
              "      <td>187441</td>\n",
              "      <td>188446</td>\n",
              "      <td>189540</td>\n",
              "      <td>190317</td>\n",
              "      <td>2476.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Australia</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>6</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>13</td>\n",
              "      <td>13</td>\n",
              "      <td>14</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>25</td>\n",
              "      <td>27</td>\n",
              "      <td>...</td>\n",
              "      <td>28918</td>\n",
              "      <td>28920</td>\n",
              "      <td>28926</td>\n",
              "      <td>28930</td>\n",
              "      <td>28937</td>\n",
              "      <td>28939</td>\n",
              "      <td>28947</td>\n",
              "      <td>28957</td>\n",
              "      <td>28965</td>\n",
              "      <td>28970</td>\n",
              "      <td>28978</td>\n",
              "      <td>28986</td>\n",
              "      <td>28996</td>\n",
              "      <td>29007</td>\n",
              "      <td>29021</td>\n",
              "      <td>29029</td>\n",
              "      <td>29034</td>\n",
              "      <td>29046</td>\n",
              "      <td>29061</td>\n",
              "      <td>29074</td>\n",
              "      <td>29090</td>\n",
              "      <td>29102</td>\n",
              "      <td>29112</td>\n",
              "      <td>29117</td>\n",
              "      <td>29130</td>\n",
              "      <td>29137</td>\n",
              "      <td>29154</td>\n",
              "      <td>29166</td>\n",
              "      <td>29183</td>\n",
              "      <td>29192</td>\n",
              "      <td>29196</td>\n",
              "      <td>29206</td>\n",
              "      <td>29211</td>\n",
              "      <td>29221</td>\n",
              "      <td>29230</td>\n",
              "      <td>29239</td>\n",
              "      <td>29252</td>\n",
              "      <td>29259</td>\n",
              "      <td>29276</td>\n",
              "      <td>716.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Austria</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>14</td>\n",
              "      <td>...</td>\n",
              "      <td>439841</td>\n",
              "      <td>441659</td>\n",
              "      <td>443536</td>\n",
              "      <td>445374</td>\n",
              "      <td>446644</td>\n",
              "      <td>448371</td>\n",
              "      <td>450376</td>\n",
              "      <td>452767</td>\n",
              "      <td>454860</td>\n",
              "      <td>457317</td>\n",
              "      <td>459440</td>\n",
              "      <td>460849</td>\n",
              "      <td>462769</td>\n",
              "      <td>465322</td>\n",
              "      <td>467646</td>\n",
              "      <td>470314</td>\n",
              "      <td>472871</td>\n",
              "      <td>475070</td>\n",
              "      <td>476980</td>\n",
              "      <td>479391</td>\n",
              "      <td>481919</td>\n",
              "      <td>484916</td>\n",
              "      <td>488042</td>\n",
              "      <td>491065</td>\n",
              "      <td>493568</td>\n",
              "      <td>495464</td>\n",
              "      <td>497889</td>\n",
              "      <td>501224</td>\n",
              "      <td>504581</td>\n",
              "      <td>508096</td>\n",
              "      <td>511440</td>\n",
              "      <td>514153</td>\n",
              "      <td>516565</td>\n",
              "      <td>519980</td>\n",
              "      <td>523269</td>\n",
              "      <td>526393</td>\n",
              "      <td>530288</td>\n",
              "      <td>533786</td>\n",
              "      <td>536465</td>\n",
              "      <td>9586.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>10 rows × 433 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                     1/22/20  1/23/20  ...  3/28/21  max infection rate\n",
              "Country/Region                         ...                             \n",
              "Afghanistan                0        0  ...    56294              1485.0\n",
              "Albania                    0        0  ...   124134              1239.0\n",
              "Algeria                    0        0  ...   116836              1133.0\n",
              "Andorra                    0        0  ...    11850               299.0\n",
              "Angola                     0        0  ...    22063               355.0\n",
              "Antigua and Barbuda        0        0  ...     1128                82.0\n",
              "Argentina                  0        0  ...  2308597             18326.0\n",
              "Armenia                    0        0  ...   190317              2476.0\n",
              "Australia                  0        0  ...    29276               716.0\n",
              "Austria                    0        0  ...   536465              9586.0\n",
              "\n",
              "[10 rows x 433 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 225
        },
        "id": "-qIECa4UhV2Z",
        "outputId": "c37c68ac-be29-41da-f8bf-5b2c93ee9786"
      },
      "source": [
        "#Selecting the useful column\n",
        "corona_data = pd.DataFrame(corona_dataset_aggregated['max infection rate'])\n",
        "corona_data.head()"
      ],
      "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>max infection rate</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Country/Region</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Afghanistan</th>\n",
              "      <td>1485.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Albania</th>\n",
              "      <td>1239.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Algeria</th>\n",
              "      <td>1133.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Andorra</th>\n",
              "      <td>299.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Angola</th>\n",
              "      <td>355.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                max infection rate\n",
              "Country/Region                    \n",
              "Afghanistan                 1485.0\n",
              "Albania                     1239.0\n",
              "Algeria                     1133.0\n",
              "Andorra                      299.0\n",
              "Angola                       355.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": "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",
              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 73
        },
        "id": "m7iDkJ7EhbLI",
        "outputId": "39db8f8b-22e3-45e2-c73f-b3e7c538c490"
      },
      "source": [
        "#IMPORTING SECOND DATASET\n",
        "from google.colab import files\n",
        "uploaded = files.upload()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-32a1b086-795e-4ff7-807c-349b1cbf4c1e\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-32a1b086-795e-4ff7-807c-349b1cbf4c1e\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving WHR20_DataForFigure2.1.csv to WHR20_DataForFigure2.1 (3).csv\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 343
        },
        "id": "QwdhJtMD3UNw",
        "outputId": "6241cb73-8de2-4f55-912c-fdfc396ef2d2"
      },
      "source": [
        "happiness_data = pd.read_csv(io.BytesIO(uploaded['WHR20_DataForFigure2.1.csv'])) \n",
        "happiness_data.head(10)"
      ],
      "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>Country name</th>\n",
              "      <th>Score</th>\n",
              "      <th>GDP per capita</th>\n",
              "      <th>Social support</th>\n",
              "      <th>Healthy life expectancy</th>\n",
              "      <th>Freedom to make life choices</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Finland</td>\n",
              "      <td>7.8087</td>\n",
              "      <td>10.639267</td>\n",
              "      <td>0.954330</td>\n",
              "      <td>71.900825</td>\n",
              "      <td>0.949172</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Denmark</td>\n",
              "      <td>7.6456</td>\n",
              "      <td>10.774001</td>\n",
              "      <td>0.955991</td>\n",
              "      <td>72.402504</td>\n",
              "      <td>0.951444</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Switzerland</td>\n",
              "      <td>7.5599</td>\n",
              "      <td>10.979933</td>\n",
              "      <td>0.942847</td>\n",
              "      <td>74.102448</td>\n",
              "      <td>0.921337</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Iceland</td>\n",
              "      <td>7.5045</td>\n",
              "      <td>10.772559</td>\n",
              "      <td>0.974670</td>\n",
              "      <td>73.000000</td>\n",
              "      <td>0.948892</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Norway</td>\n",
              "      <td>7.4880</td>\n",
              "      <td>11.087804</td>\n",
              "      <td>0.952487</td>\n",
              "      <td>73.200783</td>\n",
              "      <td>0.955750</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Netherlands</td>\n",
              "      <td>7.4489</td>\n",
              "      <td>10.812712</td>\n",
              "      <td>0.939139</td>\n",
              "      <td>72.300919</td>\n",
              "      <td>0.908548</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Sweden</td>\n",
              "      <td>7.3535</td>\n",
              "      <td>10.758794</td>\n",
              "      <td>0.926311</td>\n",
              "      <td>72.600769</td>\n",
              "      <td>0.939144</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>New Zealand</td>\n",
              "      <td>7.2996</td>\n",
              "      <td>10.500943</td>\n",
              "      <td>0.949119</td>\n",
              "      <td>73.202629</td>\n",
              "      <td>0.936217</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Austria</td>\n",
              "      <td>7.2942</td>\n",
              "      <td>10.742824</td>\n",
              "      <td>0.928046</td>\n",
              "      <td>73.002502</td>\n",
              "      <td>0.899989</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Luxembourg</td>\n",
              "      <td>7.2375</td>\n",
              "      <td>11.450681</td>\n",
              "      <td>0.906912</td>\n",
              "      <td>72.599998</td>\n",
              "      <td>0.905636</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Country name   Score  ...  Healthy life expectancy  Freedom to make life choices\n",
              "0      Finland  7.8087  ...                71.900825                      0.949172\n",
              "1      Denmark  7.6456  ...                72.402504                      0.951444\n",
              "2  Switzerland  7.5599  ...                74.102448                      0.921337\n",
              "3      Iceland  7.5045  ...                73.000000                      0.948892\n",
              "4       Norway  7.4880  ...                73.200783                      0.955750\n",
              "5  Netherlands  7.4489  ...                72.300919                      0.908548\n",
              "6       Sweden  7.3535  ...                72.600769                      0.939144\n",
              "7  New Zealand  7.2996  ...                73.202629                      0.936217\n",
              "8      Austria  7.2942  ...                73.002502                      0.899989\n",
              "9   Luxembourg  7.2375  ...                72.599998                      0.905636\n",
              "\n",
              "[10 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pe5iUtv3hoUc",
        "outputId": "ffb5f58a-c7d2-4e09-f059-dd52facc1f9d"
      },
      "source": [
        "happiness_data.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(153, 6)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 93
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 225
        },
        "id": "MlAPA94Kh6lH",
        "outputId": "b82ce1cc-2a61-4f7e-d2c3-e72244c54a4a"
      },
      "source": [
        "#Setting Indices\n",
        "happiness_data.set_index(['Country name'],inplace=True)\n",
        "happiness_data.head()"
      ],
      "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",
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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>Score</th>\n",
              "      <th>GDP per capita</th>\n",
              "      <th>Social support</th>\n",
              "      <th>Healthy life expectancy</th>\n",
              "      <th>Freedom to make life choices</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Country name</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Finland</th>\n",
              "      <td>7.8087</td>\n",
              "      <td>10.639267</td>\n",
              "      <td>0.954330</td>\n",
              "      <td>71.900825</td>\n",
              "      <td>0.949172</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Denmark</th>\n",
              "      <td>7.6456</td>\n",
              "      <td>10.774001</td>\n",
              "      <td>0.955991</td>\n",
              "      <td>72.402504</td>\n",
              "      <td>0.951444</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Switzerland</th>\n",
              "      <td>7.5599</td>\n",
              "      <td>10.979933</td>\n",
              "      <td>0.942847</td>\n",
              "      <td>74.102448</td>\n",
              "      <td>0.921337</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Iceland</th>\n",
              "      <td>7.5045</td>\n",
              "      <td>10.772559</td>\n",
              "      <td>0.974670</td>\n",
              "      <td>73.000000</td>\n",
              "      <td>0.948892</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Norway</th>\n",
              "      <td>7.4880</td>\n",
              "      <td>11.087804</td>\n",
              "      <td>0.952487</td>\n",
              "      <td>73.200783</td>\n",
              "      <td>0.955750</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               Score  ...  Freedom to make life choices\n",
              "Country name          ...                              \n",
              "Finland       7.8087  ...                      0.949172\n",
              "Denmark       7.6456  ...                      0.951444\n",
              "Switzerland   7.5599  ...                      0.921337\n",
              "Iceland       7.5045  ...                      0.948892\n",
              "Norway        7.4880  ...                      0.955750\n",
              "\n",
              "[5 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 94
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dvEIQ8qxieiG"
      },
      "source": [
        "Joining the datasets"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 225
        },
        "id": "8_UaCxCsiVPo",
        "outputId": "298cc0ac-a73d-425b-8095-e8412561378b"
      },
      "source": [
        "#corona dataset\n",
        "corona_data.head()"
      ],
      "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>max infection rate</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Country/Region</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Afghanistan</th>\n",
              "      <td>1485.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Albania</th>\n",
              "      <td>1239.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Algeria</th>\n",
              "      <td>1133.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Andorra</th>\n",
              "      <td>299.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Angola</th>\n",
              "      <td>355.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                max infection rate\n",
              "Country/Region                    \n",
              "Afghanistan                 1485.0\n",
              "Albania                     1239.0\n",
              "Algeria                     1133.0\n",
              "Andorra                      299.0\n",
              "Angola                       355.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 95
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 225
        },
        "id": "vS6_R0EjiZde",
        "outputId": "3fca866e-8b92-4519-c066-f21171bfcb42"
      },
      "source": [
        "#world happiness report dataset\n",
        "happiness_data.head()"
      ],
      "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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              "\n",
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              "\n",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Score</th>\n",
              "      <th>GDP per capita</th>\n",
              "      <th>Social support</th>\n",
              "      <th>Healthy life expectancy</th>\n",
              "      <th>Freedom to make life choices</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Country name</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Finland</th>\n",
              "      <td>7.8087</td>\n",
              "      <td>10.639267</td>\n",
              "      <td>0.954330</td>\n",
              "      <td>71.900825</td>\n",
              "      <td>0.949172</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Denmark</th>\n",
              "      <td>7.6456</td>\n",
              "      <td>10.774001</td>\n",
              "      <td>0.955991</td>\n",
              "      <td>72.402504</td>\n",
              "      <td>0.951444</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Switzerland</th>\n",
              "      <td>7.5599</td>\n",
              "      <td>10.979933</td>\n",
              "      <td>0.942847</td>\n",
              "      <td>74.102448</td>\n",
              "      <td>0.921337</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Iceland</th>\n",
              "      <td>7.5045</td>\n",
              "      <td>10.772559</td>\n",
              "      <td>0.974670</td>\n",
              "      <td>73.000000</td>\n",
              "      <td>0.948892</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Norway</th>\n",
              "      <td>7.4880</td>\n",
              "      <td>11.087804</td>\n",
              "      <td>0.952487</td>\n",
              "      <td>73.200783</td>\n",
              "      <td>0.955750</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               Score  ...  Freedom to make life choices\n",
              "Country name          ...                              \n",
              "Finland       7.8087  ...                      0.949172\n",
              "Denmark       7.6456  ...                      0.951444\n",
              "Switzerland   7.5599  ...                      0.921337\n",
              "Iceland       7.5045  ...                      0.948892\n",
              "Norway        7.4880  ...                      0.955750\n",
              "\n",
              "[5 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 96
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 225
        },
        "id": "06S9O6Wbior5",
        "outputId": "bc3fff56-7280-41a9-a86f-6beebe43a8e2"
      },
      "source": [
        "data = happiness_data.join(corona_data).copy()\n",
        "data.head()"
      ],
      "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>Score</th>\n",
              "      <th>GDP per capita</th>\n",
              "      <th>Social support</th>\n",
              "      <th>Healthy life expectancy</th>\n",
              "      <th>Freedom to make life choices</th>\n",
              "      <th>max infection rate</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Country name</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Finland</th>\n",
              "      <td>7.8087</td>\n",
              "      <td>10.639267</td>\n",
              "      <td>0.954330</td>\n",
              "      <td>71.900825</td>\n",
              "      <td>0.949172</td>\n",
              "      <td>863.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Denmark</th>\n",
              "      <td>7.6456</td>\n",
              "      <td>10.774001</td>\n",
              "      <td>0.955991</td>\n",
              "      <td>72.402504</td>\n",
              "      <td>0.951444</td>\n",
              "      <td>4508.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Switzerland</th>\n",
              "      <td>7.5599</td>\n",
              "      <td>10.979933</td>\n",
              "      <td>0.942847</td>\n",
              "      <td>74.102448</td>\n",
              "      <td>0.921337</td>\n",
              "      <td>21926.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Iceland</th>\n",
              "      <td>7.5045</td>\n",
              "      <td>10.772559</td>\n",
              "      <td>0.974670</td>\n",
              "      <td>73.000000</td>\n",
              "      <td>0.948892</td>\n",
              "      <td>106.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Norway</th>\n",
              "      <td>7.4880</td>\n",
              "      <td>11.087804</td>\n",
              "      <td>0.952487</td>\n",
              "      <td>73.200783</td>\n",
              "      <td>0.955750</td>\n",
              "      <td>1680.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               Score  ...  max infection rate\n",
              "Country name          ...                    \n",
              "Finland       7.8087  ...               863.0\n",
              "Denmark       7.6456  ...              4508.0\n",
              "Switzerland   7.5599  ...             21926.0\n",
              "Iceland       7.5045  ...               106.0\n",
              "Norway        7.4880  ...              1680.0\n",
              "\n",
              "[5 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 97
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 225
        },
        "id": "_U5I10pmiu_s",
        "outputId": "0944e0e5-6465-44e7-d73d-cb533615dd2b"
      },
      "source": [
        "#Correlation matrix representing the correlation between every two columns of the dataset\n",
        "data.corr() "
      ],
      "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>Score</th>\n",
              "      <th>GDP per capita</th>\n",
              "      <th>Social support</th>\n",
              "      <th>Healthy life expectancy</th>\n",
              "      <th>Freedom to make life choices</th>\n",
              "      <th>max infection rate</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Score</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.775374</td>\n",
              "      <td>0.765001</td>\n",
              "      <td>0.770316</td>\n",
              "      <td>0.590597</td>\n",
              "      <td>0.034717</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>GDP per capita</th>\n",
              "      <td>0.775374</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.781814</td>\n",
              "      <td>0.848469</td>\n",
              "      <td>0.419019</td>\n",
              "      <td>0.131309</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Social support</th>\n",
              "      <td>0.765001</td>\n",
              "      <td>0.781814</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.742744</td>\n",
              "      <td>0.478863</td>\n",
              "      <td>0.065853</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Healthy life expectancy</th>\n",
              "      <td>0.770316</td>\n",
              "      <td>0.848469</td>\n",
              "      <td>0.742744</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.448846</td>\n",
              "      <td>0.103965</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Freedom to make life choices</th>\n",
              "      <td>0.590597</td>\n",
              "      <td>0.419019</td>\n",
              "      <td>0.478863</td>\n",
              "      <td>0.448846</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.093217</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max infection rate</th>\n",
              "      <td>0.034717</td>\n",
              "      <td>0.131309</td>\n",
              "      <td>0.065853</td>\n",
              "      <td>0.103965</td>\n",
              "      <td>-0.093217</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                 Score  ...  max infection rate\n",
              "Score                         1.000000  ...            0.034717\n",
              "GDP per capita                0.775374  ...            0.131309\n",
              "Social support                0.765001  ...            0.065853\n",
              "Healthy life expectancy       0.770316  ...            0.103965\n",
              "Freedom to make life choices  0.590597  ...           -0.093217\n",
              "max infection rate            0.034717  ...            1.000000\n",
              "\n",
              "[6 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 98
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "a_WEy5-ci8FN"
      },
      "source": [
        "Visualization of results"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 225
        },
        "id": "vTbR_7Uui-Zv",
        "outputId": "1bea1041-d72e-402c-9a8d-0a978fa7d65c"
      },
      "source": [
        "data.head()"
      ],
      "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>Score</th>\n",
              "      <th>GDP per capita</th>\n",
              "      <th>Social support</th>\n",
              "      <th>Healthy life expectancy</th>\n",
              "      <th>Freedom to make life choices</th>\n",
              "      <th>max infection rate</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Country name</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Finland</th>\n",
              "      <td>7.8087</td>\n",
              "      <td>10.639267</td>\n",
              "      <td>0.954330</td>\n",
              "      <td>71.900825</td>\n",
              "      <td>0.949172</td>\n",
              "      <td>863.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Denmark</th>\n",
              "      <td>7.6456</td>\n",
              "      <td>10.774001</td>\n",
              "      <td>0.955991</td>\n",
              "      <td>72.402504</td>\n",
              "      <td>0.951444</td>\n",
              "      <td>4508.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Switzerland</th>\n",
              "      <td>7.5599</td>\n",
              "      <td>10.979933</td>\n",
              "      <td>0.942847</td>\n",
              "      <td>74.102448</td>\n",
              "      <td>0.921337</td>\n",
              "      <td>21926.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Iceland</th>\n",
              "      <td>7.5045</td>\n",
              "      <td>10.772559</td>\n",
              "      <td>0.974670</td>\n",
              "      <td>73.000000</td>\n",
              "      <td>0.948892</td>\n",
              "      <td>106.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Norway</th>\n",
              "      <td>7.4880</td>\n",
              "      <td>11.087804</td>\n",
              "      <td>0.952487</td>\n",
              "      <td>73.200783</td>\n",
              "      <td>0.955750</td>\n",
              "      <td>1680.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               Score  ...  max infection rate\n",
              "Country name          ...                    \n",
              "Finland       7.8087  ...               863.0\n",
              "Denmark       7.6456  ...              4508.0\n",
              "Switzerland   7.5599  ...             21926.0\n",
              "Iceland       7.5045  ...               106.0\n",
              "Norway        7.4880  ...              1680.0\n",
              "\n",
              "[5 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 350
        },
        "id": "noZ2egZGjA8v",
        "outputId": "22c26c45-8727-45c1-ad3b-82a2f656e008"
      },
      "source": [
        "#Plotting GDP vs max infection rate\n",
        "x = data['GDP per capita']\n",
        "y = data['max infection rate']\n",
        "sns.scatterplot(x,np.log(y))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7feef6d26550>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 99
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 350
        },
        "id": "O2fvcsobjIzv",
        "outputId": "23546675-b8da-4a32-cecc-3ae9de73864a"
      },
      "source": [
        "# regplot is a better approach\n",
        "sns.regplot(x,np.log(y))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7feef6cbcd90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 100
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 350
        },
        "id": "_X6F-5MvjfAw",
        "outputId": "83bd20f2-58d7-43cb-84e4-0776ccdcc9d7"
      },
      "source": [
        "#social support vs max infection rate\n",
        "x = data['Social support']\n",
        "y = data['max infection rate']\n",
        "sns.regplot(x,np.log(y))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7feef6c6a6d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 101
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 350
        },
        "id": "lXG_edkrjOh8",
        "outputId": "16706648-53ce-43e9-fe9b-c5eaa2e64389"
      },
      "source": [
        "#Healthy life expectancy vs max infection rate\n",
        "x = data['Healthy life expectancy']\n",
        "y = data['max infection rate']\n",
        "sns.regplot(x,np.log(y))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7feef6be45d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 102
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 350
        },
        "id": "MqCGyTNKj2rc",
        "outputId": "6825fc4e-04b8-4955-d019-934837599a36"
      },
      "source": [
        "#Freedom to make life choices vs max infection rate\n",
        "x = data['Freedom to make life choices']\n",
        "y = data['max infection rate']\n",
        "sns.regplot(x,np.log(y))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7feef6b47710>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 103
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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rIvtwQz2CO4/KsyO1zDDalGrDFgt9r15zwIY9YroeHfQLZQUtdD1aJYPMJ4jw/17kVhhGlTTzhNa1UK3YlfpePWv6tNKIaZ8gZaSbfVBWJQQZuXvAm3j9v3mLfurNx2ssElpVPJu5QFkjKHcdS3nhN9yxJ/Rr30x9DUFplcF+YREknfNdwJeBAe/xJRF5R9SGGfUhzHhsvSkXl203FrqOxdIiM9kcjw+OhX7tWy3eDY2bqaxRBAn1vBV4gaqOA4jIDcDdwKeiNMyoD/WoYBlVi6IVQwpRsdB1LOaFHx2Zqunal7qurRbv9ikM1fjzHLRaSzgIQYRfgPxZg7PeMmMRELV4RhmOacWQQlQsdB2LhjJyOdYs6yr5nXLkX1dH4IGDQ7z1C7s5f6CH9129oSXi3eUcklYJI6oq6aySzSmZXI5szn2fzuaIx0rLdBDh/zzwCxH5lvf+VcDnQrDZaAKiFs8oWxTtFpctRyVz3PpeeCImpHNzp14Neu3965rJal6FSth3fLyuAllta3IhYW+muRzS2Zz3UDJZT9xzs69LkSwI7eUTpHP3EyKyAzetE+DNqvpAhbYbTUrU4hlli6JVQwphs2PPIKcmptl/YoKEI5ze20ncic27jsVCGdVee/+67hsen6lQqbiFyvx+lqivQy1e+ULCXs8wYiabI5PzvPas67lncjoj9gvNi14NJYVfRPpUdUREVgD7vYf/2QpVPRm6NUbdiVo8o25RtEJIoRRh9H3ki9+aZUmOjkxx6FSK8/p7+NDLLyy7vaDXvtwEJ/6MX+BWqOxwYnXrZ6nFK19I2MP63eZySiY3K+Yzwj4Tnikv7PfsPclX7z3IUyMpzuzr4nWXreX561dUZEMxynn8XwFegVujJ98y8d63X3t6kRKleFo4pjhhxZALxa+vq4OJ6QzLl3QGnu+23HoLTXDiz/jljuqE/t7OuvWz1OKVLyTsQX63O/YM8q8/+S0HhyZYvaybN15xNpc/47Q54p6rwVu/Z+9JbrzrCeIxoS8Z58T4FDfe9QTv4ryaxb+k8KvqK7znc2rag9HWWDimOGHFkH3xG51Mc2x0iulsjkRMGE6lI7XTn+Dk4997lCeOjZEQ4YylnTgxqduNvRavfCFh37xhgL9VnWnprF7WzfPOXsanf/wbPvCth+lOOJycmKanM053h8NTwyk+9p+P8q6rqhPlYp79V+89SDwmM2m4vp1fvfdgdMLvIyJ3qupLF1pmGKVo5XBMVIQVQ167vJv9J8Y4MZaemXM3nVNGJzOhTMISZIITPxR0aGiCgd5k3W7sxcR7OJWmw4nNTGBTypZN5/fzoZc/k3/76T4ODU2walkXb3jBWVxwZi8HT06QU+XslUv4u1e7Zcryve+eTocDJ9yJb7oSDoLUJMqlPPvUdIb+3s456yYTMZ4eSVV/0jzKxfiTQDewUkSWM5vC2QesrnnPRt1p1RG6i5GwYsjXbVrPdV+6D0WJIWjOXb68OxFKB2sQOxt1Yy9sTS7pcBBgKpOlLxnn6ZEUf/PtX/GBqQ288NyVpL3wS9rLhnnGQA8ff83c+pOp6WzRfRV63zlVYgJDntcP1YtyKc8+nVUm07k5A+8m0znO6OsqtanAlBu5ex1ufH+D9+w/vg18uuY9G3WllUfoLkbCGt26ecMAPZ0OHU6MrCpxR1i1tIuVPZ2hdLA20yhcN2c9x2Q6y9hUhuGJNBevWcqNr7uEr113BV0dcZIJh3gsRiarJGIxBPi3n+5jaGKasckMk+ls2RTIUjw1kiKZmJXLhOO+TmdzM8sqFeV79p7kL7/2EL88fIrjY1OMTWVmPksmYnTEY2RySiqdRXGfMznldZetrdj+QsrF+G8EbhSRd6iqjdJtcZopL7kRNFtrJ8y+j/NP75vnlU9MZ0LpYI26jyaXU7LqZrj4WS7+YKRcDrKq7jq5hTtKjwyn6EvOlbSwQiNn9nVxYnxqxvtesaSDp4cncRxBcT3zSkQ5P7zT4QjpbM6bgyFJT2ecyXSOs1csmYn1Pz2S4owiWT3pbI6xqQzjUxnGp7KMT2UYm3ZfT2dyJfcfZABXTkSWqeopAC/sc42q/u9AR1gEEfkL4E9ws4Mexh0bMFnuO1kvc8D9/sx2qjWh7Wjn8gbNOgozrBBJ1JlTldipvoirzkxAni/evsj76Yy1ZL0UUijOEF5o5HWXrXXj7uksyUSMmAh9XQmWdyUYncwUFeVybP/pXo6PTpJTiAnkcoDA8bEpJj3P/oIzernvySFWLUvS1x1nfCrLLXfv5zM7fuOK/XR5cS9HEOF/m6p+xn+jqkMi8jagKuEXkdXAO4ELVTUlIl8HXgfcUuo7U5kcB06Ml9um+0zeTcG7TeTfGwpvGPNuJHnfmflaie1JgO0gc9cvZav/ncL7WP72NC+jNv9/xX/tf174f+RvY9XSLo6NFcRqpzOsWtbFdCY377jcOUQXx411sbd2avXK871uVc/LVkVzbiw7p+6vS9UVdsVdrjr77H8visFGQSkU52JeeNC8+GLrveuq82a879N7k1x7xTouOLPX9banXW/7B488zZjveU9lGJ+e9cTHpzOMTWY4NZFmNC+sk/VPmcJ0Vjk54WZk/ejRysOwAnR3OizpiNObjHOgxHpBhN8REVHvioqIA3RUbNH8/XaJSBq3A/lILRvzf2w682fOCwN49XNXc+NdT5DJpuf8U/zBJavLev0xEfcRc28E6v2j5+O/L3WfKLw5+Tc5kdmbTEy826XkfY6/XSl+c/W3wdztzNrtLn/y5DjLu+f+ZJPxGAdPjs/Ee/MFa0bkSvyGZq0pWJ538yz85pybdcFN2hXXWVHVPCHIX1eZ+1ufsVHhmav6+OQfXzJjhwCDI3Mb0TnNE3Kdu9/FwPPXr+BdnFcyNOKHVxyBJR0OR0dS/OMPH+PVz13NZDrHjseOMZSaJh4TJqazxGPu73DP0yN86PZfsayrg5wq41MZnh6Z4qHDw6EfQ0zcydqXdMZZ0uG4z51xlnhi3uO97vGW+8/+ul0dzsz/QDLhsPo9xfcTRPjvAL4mIjd576/zllWFqh4WkX8EngRSwA9U9QeF64nIVmArwKo1tXdmtDsL/VOUwhcKqmtRlqC+QtPfk5wXAkils6zsSZZtSRrNRzanpKazXhw7M+tZ53nZF5zRw5oVXYxPZfjmA4f4wq4DjE9nOHIqRSY7/3a+/af7iu5rquD9sbHCJXPpSjiuQBcI8lyRdvj8z/cTFxhOZWZa/m6LCf7uVReHMjJ3IYII//twxf7t3vsfAp+tdodeH8ErgXOAU8A3ROQNqvql/PVUdTuwHeDiSy5dHC5Jg3n++hV1+VE1G0FCAPUmqqH4jd5XOXKqTEzNFe3xqawXDnFfj+WLuRc+yV9vokS6Za0IEIu5heams25/YkygpzNOLOa2Hqezyp+/5NxZce+Y9ca7O+I4Zaph5vOTx45zYnyKZCLO0MQ06WyOmCOctbSrbtclSJG2nIjcAtylqo+FsM/fAfap6jEAEfkm8ELgS2W/ZRhVUm1rJypKDdi5+unTeeDgcKgCHdaw/5x6nnYRwR7Li2GPz3md99mUK9pReHDJeGyOR+162m4/zr7jE0ykMyzr6mA6k0XVDYHEvMFuUxk3m+aclUtmQngHhybIZHMocHpfEnBbiGuXdPL/XHh6zfb6jkg8JqxZ3jXjiGzd9Iyatx2UICN3twD/gBvXP0dELgG2qeqWKvf5JHC5iHTjhnpeCuyucluGEYhmau0UG7AzNDHFl+55kjP6koEEOqgX/9V7D+IIdDpubntMIJvLsX3nXkbzBDpfzAtDJ+PTGSamohFtP9Rx2pJOTuvpmA2RFMS0fTGfeT3jcTvEnfnDkfwbXjIRI+HEOTY6Sdo7/hVLEizr7mAy7Yr7WSuWzBkoVWuq5kI0gyMSJNTzYeD5wA4AVX1QRKqu36OqvxCR24D7gQzwAF5IxzDagadG5uebj05myHklAGB29Oat9zzJxWuW5mWIZLj/wCm+9cBht0SDwG+Pj7Htu7/mgtN76UzE5njjgyNTRQV7kGk+9p+P1nQcHfHYnA7InoLOyNk4tx/jdrjpJ3sZnUzT3RGf6XxPpbOctqSTT/zxc2qyJx//5ppT5djoNAjEvfvDqVSGTI6ZPHkg1FTNIDTaEQki/GlVHS5I7avp5q+qH8a9oRhGaDRLLNtHVZnK5OZ2QE5nSMYdjo9N44jMZNZMZlxv9ODQhJt946VYHhxK8fJP/Veg/T1w8FRg2wRY1p2Y70l3FIi2L+Id8XnhlEQRT3shhifT9CXjczKjkokYB06O85dfeyi0a+ffXA8NpcDL9vLTUJd3xZmYzvHUSIqv3ntwXqrmGX1d/Nnmc8vuv9l+a5USRPgfEZHX46Z1noebg//zaM0yjMoIu4TtL357glvvPciR4RQrl3Ry1YYBzl7ZPS8EMp4Xw3bDJPnvKysPkFNIpYOlTzmC1+k4m26byykvu/jMOR74kVOTfO+Rp4jHYnQl3MlZcqq8+6XnN0Soig2yOjUxzdhUhhPjU6GVH/b3k87miMVm5wuIiTA0nkaBVcuSs/u66rzALY4oyyXXiyDC/w7gg7jZTV8Bvg/8zyiNMoxKKYybd8ZjZKez3PLz/fR2xecMspnJICmSTTI+7daAGc/LHjk+Ns2eo6Oh2eqGaNxMEYCuRJz+3g6ODE+6Q/jjMXcwFfD8s5dz35OnSDgyI9xHR6dY1hVnefds5UY/XPJnLzl33v4uXr20bvHkhTzhYhlWp1IZlibjgcoP+2M6ig669EJHjgjXvvBs/uEHj7utKn+AWt49uNMREo5DwnGYmM7wf+8/xMuec+bMmBB/H/mDJ1XdZTf/bC8nx6fI5pQOJ8bKnk66EjG+9cBhXnXp6plxErM2u9uJxbyWhzeGwt+mojPjNKTgO/7rwm3lU5ig6o+Dic2N0syhXHXOL6rqf8cduftBXPE3jMiZzuSKpvi5dUjmp/iNT2X41ZFhxBv67o80BTgyPMmffSW8mUL7krMhkB6vA7JwkM3MZ3mhkyeOjnHzz/a5N6cOZ6bDML9+uy+aT4+kWLOse6ZOS3eHMyOKCQeWJrOcSmVIJuKB0lMXiieHFbbwPeGEIyxNJjg5McU/3/UE741fwAvPW4kIvPTC0+nucPjCrgMcOZVi9bIuxqbS9Pcm5wzUizvC8bFJ1izvnh3gV8Fo8ldduoZl3R3ccMceHjs6iqrbSvLFP5NzC871JhP0dMZ5emSSvmSi/EZxy3/89vg4jgjxWIxsDp4amWTV0iRHhlNl57mtlTDrTZXz+J8nIquAt4jIF2DubcamXjSKkc7mSmaI+EPWC0Mk+WI+NuVWfwybmFAynp0/4Kan0+Fz/7WPJR0OTszt6HMEJAZjkxlu3XpFVfu/8Ue/IeFNSwjFvdpiAv3JOx+f1xG8fEkH2Zxy2pLOmr34omL94yd4b+ICXnTuSteD9vLYYzFXmH/2xHFu/tl+Dp9yy0Ns/W/recmGAT74rV/R3eHMlMboTLje9NfvO8QfPG/NzD63PHc1W547W9n9mu27ihSZy7J2xRI64pX3I/j4NYau/uRP2H/SrZ+vOSUGOE6MY6NT9CYTFZXDvmnnXhKxmOudezcjcnB0dIrnrl1eta0LEXa9qXLC/6/AnbhTLN7HXOGv69SLe4+N8Zdfe6jlOlBajUw2VxACKRTw+RUA873xWopGlUNg1qMu7ID0Xp8cT/Pz3x4n4QidXjnbnMLbrlzPleetJJmIBfYW73r0WNGRvmcurb7aZbFMniCVI0sVHjv7tJ6SMWnHj/3H5oYsnJgQjwmO4z3HhH9/8HBxsd59iD+4dM28be/YM8jffW8PCUdY3t3B8bEp/vY7v8aJSdWFAKMuMjc2neXc/h5EhJFUmiPDqZmO90rLTB8cmuD0vk6eGp4ih7qjblEyWSItVR12valyZZn/GfhnEfkXVX17qfXqgROTluxAqSfZnOZlj7giPOtd54n0vEE2s972ZESi3Z2f8jdHvIul/Tlzh7t7sd8gon3P3v6ZUMmqpd1VOwpRjPTNF/CxqQxDE9NMZ3IkEw737D1Z1E4R4fUvWMs//egJpjJZuhIOkxk39/ztL17Pqrhm6ZwAABohSURBVGVdc2oS+aNPK+HQqVRFYl1OgKqdXCbq0s/5dvV5x3p0dBJRqXjGMH9bq5YlZ6a6dER4Rv+SBecuriVME3Z13SAjd9/uFWY7PX99VX2yqj1WSZjzTTYbvmjnC3HhkPXCkElhB+VkwGyQSunucOYVgpoj2CVi2v563XlFo6ImrNzoKAbY+DeTk+NTnPLmw3VbMg6f+vFveF/nBbz4ggHiMSHuuPFjJyacs3IJA73JuoiiTzmxLiVATxwdob83yf4TEyQc4fTeTuJOLLA3HeUsXoUtirjjCv62LRdVvE9/WwnHvTZ+6+R9V28o+Z0wwjRhzdjmE2Tk7p8DHwGOMluqS4FnV7XHGghrUoUwmSkaNROvnhsSKSXm+aGTVDqa+iPdHc48Ic4vGjW3M3L+qMiuDidw/ZGoqXfedKU3ET+bJBZzW6hOTGY6ACUGv3/JKpYvSfCebzxETl2x7O/tpDeZYGI6w633HGTLJcVnNK2nKPpCdsX6FVyzfdc8D7WYAB0fm2J0KsvS7hxrliU5OjLFoVMpzuvv4UMvv7Ahpa8LPezXXrqau/eerPnmWU3rJIwwTdjhMFmoJKuI/AZ4gaqeqGoPIdC39gK9/C+2hz7CL6fKRJEskXxRLpavnT8YJ6qiUclEbM6w9DkDauZ43sUrAFZSNCqfZhyYkp83nR96yc+IiRIRmeOJF8bJfe88CFfecBfLuhJzQleqynAqzU/fd1VUh1CW/MnS1yzv5or1K7jt/sNeCumsyGzbchHAjPfqf3ZoKMWKJQlW9iRntjkxnWGgN8mtWy9vyPEU2ujb34ibUFjXvPA6Bbl5ich9qrqxcHmQPP6DQPiFpyukcL5Jv2jU+DwvOr94VGOLRhV61TP1R5Jxrw5JQQnXvHUb4Wk368CUUpNRhxX2c/IEPO74Iu8KvP86LMJusodBYYvimu27Snqot269fJ7HO5xKc9qSzjnbbOTsbs028U5Y1zzMll8Q4d8L7BCR75JXolpVPxGKBQGYzuQ4OT5NbzLBJ370eKRFozriMS92XRDPLgiJHB2e4kd7js54oZmsm0XyzqvO44pzT4vAsuiJWmCrpdqMGJjvrSecWVH3s1zqOdNY1BksYbBQR2KxG0Uz3cyabZrRZrzmQYT/Se/RQe0zb1WFguvVLxBWSTgyJ0Okp9Mp4XkXzGSTFwcPWn/kL7/2ED2ds6MNSbg/9m/cd6hlhb8WgY2SheZSTThuqCXuCAnPa0/4HnuI3noYRJ3BEgaVeqhhClsYg5Tq0aqqxM5GXHPfvkT/uouLfR4kq+dvwzerMpZ3J3jTFWcX9cDzc7trGexRKc0qkrUQ5WTV1RKPxfjvV5zFJ374BNPZnJfS6DoA77jqXNb39zTMtmqptcke5gjOYlQq5GEJW35s3hF44OAQb/3Cbs4f6OF9V29oWEdoOTuDZulE2UFfzj40lym2TrmSDf+kqu8Wkf+gSDXOGurxV0x/b5I3vXBdvXYXiGYUyVqp90xVxWLr+Z2lCccNw5x1WjenLelsai8Zohdkfx9hjuAsRXcixr4Tbmhk/colfOjl5YU3DGHzY/OZrHJkeJIY7g1g3/HxBY8xqiyecnY2Sx9CIYX2FaOcx/9F7/kfQ7VqkdCM0/nVSpj5635s3cnPhvE7Tr3MmEoGG9UiLItJkKMWnfzjOG+gh1R64RBrWPix+X3D48Rwfx+KmzKdcKTkMRY797fdfziyLJ569SFU+7stZl8h5Ubu3uc9/6RSg9uBZphFJwqC5K/nd5jme+j5HabNEltfLILsE7XoNNKb9WPz/mhYcKtXdng1jqoZTRyFzfXqQ6j2d1vMvkKCdO4aJWj0LDpRUeitN3uHaTkWiyD7RC06jcyI8WPzTswtpSy4wt/f21nVaOKobK5Hlk4tv9t8+0phwt+mxERIxN30xg7Hj6m3nrAvxGIRZJ+oRaeR4wz8TuKPf+9Rnjg2RkKEM5Z24sSk7DHW2+ZSndlA0dHO1VDL7zbfPiRWVOODlGxIqupkwbKVqnp8QQuMhhOPxUjEXVFPODE6nNlc9nZgsQiyT5gZNMXix43OOff7cvJHqS5USK0RNhf2OYUdUqz1d+vbJ9ftf7jY50FKNjyMOxnLLu/9a4C/V9XzAx5DzVx8yaX67R/urNfuWgrH89ATM6EZT9i9wUr1HJzUjNRz+H41Q+oLv1vOWwyrk3qhc1LLcTSKRttcfE6B6stWhPW7LVWyIYjwXwzcDOwAVgGnAX+iqocqOZBaaGfh91Me/UFKfrzdj71XWoa3HWm0KCxEkH/yMG9gYYuUEU0NpjB+t1XX6lHVh0XkY7jpnaPApnqK/mInXiDkjv+cl8du1EY9B88UYyFPPUhHXpid1M1W0qBVKHcdowgpRvm7DRLj/xzwDNwyzOcD3xGRT6nqZyKxaBFRmPZowt5e7NgzyA137OHxwbGZGvXFYr9BhDhMsW7GQnHNzkIx/Eb3jVRKkKyeh3FDOwrsE5EXAHUr0NbM+MI+E4bJKwC22LJjjMrwhWJwZBJ35Lw78fuqpV3zBiMFEeIwxbrVRKoZWKjFVa7TvR4DCCslSKjnnwreDwNvjcyiJiM/7TE/n90Xe8Mohi8UWVWcmCAI5NxJS85ZuWSOpx5EiMMU61YoFFcLUQhtkBZXsdBMvQYQVkqQUM95wN8DFwIzMy2o6qJyD9o97dGonmJC4wtFh+NO/C7iTno+nc3N89SDCHHYYt3ofo+oiEpoq21xNWtdnyChns8DHwY+CbwEeDPQcmpYWBDMj7fHY+4AJsuOMaqhlND0dsZJpbP093Zy5NQkORT1vP9innoQIV6sYh0mUQlttS2uZu1IDyL8Xap6p4iIqh4APiIi9wHXV7tTEVkGfBZ4Fm7lz7eo6t01bK9oJ2q1BcEMIyilhEZVSWfd4mJnLu3k6MgUGVXWr1jC+3/vmSbgERGV0Fbb4mrWjvQgwj8lIjHgCW/i9cNArUXQbwTuUNXXikgHUPYsCO7MWDMlBTyvPT+/3TAaQSmhGU6l+egrnzUjFM89a/miiqM3K1EKbTUtrmbtSA8i/O/CFeZ3Ah8FrgLeVO0ORWQpsAm4FkBVp4Hpct/piMcafoc0jGKUExoLzdSfZhPaZu1IX3Dkbug7FLkE2A78GngOcB/wLlUdL1hvK7AV4KyzznregQMH6mon1KeOu1EforqW9SwJYQSj2Udq15NaSjZsBD4InE1eC0FVn12lIRuBXcCLVPUXInIjMKKqHyr1nY0bN+ru3bur2V3V2D/04iHqa2lCYzQrVZdsAL4MvBd3IFcuBFsOAYdU9Rfe+9uA94ew3VBp1jQso3KCXstqWwVBQzrWgjSahSDCf0xVbw9rh6r6tIgcFJELVPUx4KW4YZ+molnTsKJgsQtSkGsZ9UCbZh3IY7QnQYT/wyLyWeBOYMpfqKrfrGG/7wC+7GX07MUdG9BUNGsaVjWUE/Z2EKQg1zLqFp61II1mIshArDcDlwBXA7/vPV5Ry05V9UFV3aiqz1bVV6nqUC3bi4LrNq0nndWZnOyJ6UxTpGFVykzNmNHJOcK+Y88gMFeQRNxnv5bMYiHItTw4NEFXwpnzvTBbeFFv3zAqIYjHf5mqXhC5JU1Gs6ZhVcpCnmY7hLSCXMuoW3i1bn+xh+OM+hJE+H8uIheqatPF4aNmMeRhlxL2JwZHuWb7Lo6NTnF8bIrTe5P0eeu1akirHAtdy6jzv/O3n8nmODo6RTqrdDgxduwZLGtbO4TjjPoSJNRzOfCgiDwmIr8UkYdF5JdRG2aEw9rl3aTS2TnLToxPMTqZYXB0kjP6OslklcOnUoykpls2pFUrmzcMsG3LRQz0JhlOpRnoTYaauutvPxETDp1KgcKaZUmms7k5obditEM4zqgvQTz+qyO3woiMYp7syfE0y7sTM2EHEeHp4UmeHpni0hYvLVBLSCTqFt7mDQPctHMv63I6b9rDcp287RCOg+qunf+dJwZHmc7kSDjC+af3tfRvuB4s6PGr6oFij3oYZ9ROMU+2p9NhZU/nzDq9yQTnDvQw0NvJrVsvb9l/mIU6spuBajp5i7XaFls4rppr539n/4kxhifSpNJZRiYz7Ds+1nTXvdloufLKRuVs3jDArVsv56fvu4pbt17O+af3LUohaYWQSDUivlgyzMpRzbXzvzOSyhDzijfGEEYnM0133ZuNIKEeY5HRbIWswqIVQiLVnPvFkmHmU27imnwWunb+d6azuZkKvf5kN8123cMkjAwvE/42ZLEJiU8rDLqr9twvhgwzKJ2h1NPh3gQruXb+9c6f5UwVOpxY0133sAgrw8uEv01ZLEKST6u0ZBbjuQ9KqXElIkI6m6vo2vnXu68rzvHRaXLiFpzsTSaa8rqHQVgjwC3Gbywaok7JNGqnVOf22FSm4mvnX+91p/WwtDtBV8JhaTLOOSt7Fu11D2sEuHn8Rt2JchRqK3nT9RqN20yjfsOeuKaVrncYhBXONI/fqCutkHJZD+p1HprtfLdDhlKUhHX+TPiNutIKKZf1oF7nodnOt4XjaiOs82ehHqOutELKZT2o13loxvPdbuGZsAnj/JnHb9SVdhiFGoR6nQc730YxTPiNumIxXpd6nQc7383Pjj2DXLN9F1fecBfXbN810/9SankYLDjZejPQiMnWjeioZXLyZspQqZV6TdJuk8E3L/kDsvLHL7z20tXcdv/hecsrjeeXmmzdhN9oGUr9k7RL5+BiuukZLtds3zUvPXNiOsOx0Sn6ezvnLR/oTXLr1ssDb7+U8FuoxwidqJqozZahUk+aLS3TCIdSA7LGp7ORTtVpwm+ESpQC1c7z1rbzTW+xsmPPICOpNI8+PcLeY2OMTqYBt/N9iVe7KJ8wO+VN+I1QiVKg2jlDpZ1veosR30Hq7nCIiTCdzXF4KMXxsUnSWeVPrjwn0k55E34jVKIUqHbOUGnnm95ixHeQ+nuTrFraRYcTQ4HxqSzbtlzEO3/n/EgHutkALiNUoiyNvFjLSQehVSqPGsHIH1jX15WgryuBqjKcSs/8nqMc6GbCb4RK1ALVrqM+2/mmtxhp9NwRJvxGqJhARUe73vQWI41uwZnwG6FjAmW0KvUaK9FoB8mE3zAMg/CmNQxKIx2khmX1iIgjIg+IyHcaZYNhGIZPO42VaGQ657uARxu4f8MwjBnaaaxEQ4RfRNYALwc+24j9G4ZhFNJOYyUa5fH/E/DXQK7UCiKyVUR2i8juY8eO1c8ywzDaknYaIFh34ReRVwCDqnpfufVUdbuqblTVjf39/XWyzjCMdqWdpoVsRFbPi4AtIvIyIAn0iciXVPUNDbDFMAxjhnZJRa67x6+qH1DVNaq6DngdcJeJvmEYRv2wIm2GYRhtRkMHcKnqDmBHI20wDMNoN8zjNwzDaDNM+A3DMNoME37DMIw2w4TfMAyjzTDhNwzDaDNM+A3DMNoME37DMIw2w4TfMAyjzTDhNwzDaDNM+A3DMNoME37DMIw2w4TfMAyjzTDhNwzDaDNM+A3DMNoME37DMIw2w4TfMAyjzWjoRCyGYRityo49g9y0cy8HhyZYu7yb6zatb5n5es3jNwzDqJAdewa5/vZHGBydZFlXgsHRSa6//RF27BlstGmBMOE3DMOokJt27iXhCN0dcUTc54Qj3LRzb6NNC4QJv2EYRoUcHJqgK+HMWdaVcDg0NNEgiyrDhN8wDKNC1i7vJpXOzlmWSmdZs7y7QRZVhgm/YRhGhVy3aT3prDIxnUHVfU5nles2rW+0aYEw4TcMw6iQzRsG2LblIgZ6kwyn0gz0Jtm25aKWyeqxdE7DMIwq2LxhoGWEvhDz+A3DMNoME37DMIw2w4TfMAyjzTDhNwzDaDNM+A3DMNoMUdVG27AgInIMOACsBI432Jx6YMe5uGiH42yHY4TWO86zVbW/cGFLCL+PiOxW1Y2NtiNq7DgXF+1wnO1wjLB4jtNCPYZhGG2GCb9hGEab0WrCv73RBtQJO87FRTscZzscIyyS42ypGL9hGIZRO63m8RuGYRg1YsJvGIbRZjSl8IvI1SLymIj8RkTeX2a914iIikhLplctdJwicq2IHBORB73HnzTCzloIci1F5I9E5Nci8oiIfKXeNoZBgGv5ybzr+LiInGqEnbUS4DjPEpEfi8gDIvJLEXlZI+yslQDHebaI3Okd4w4RWdMIO6tGVZvqATjAb4H1QAfwEHBhkfV6gZ3ALmBjo+2O4jiBa4FPN9rWiI/xPOABYLn3fqDRdkdxnAXrvwO4udF2R3Q9twNv915fCOxvtN0RHec3gDd5r68Cvthouyt5NKPH/3zgN6q6V1Wnga8Cryyy3keBG4DJehoXIkGPs5UJcoxvAz6jqkMAqjpYZxvDoNJreQ1wa10sC5cgx6lAn/d6KXCkjvaFRZDjvBC4y3v94yKfNzXNKPyrgYN57w95y2YQkUuBtar63XoaFjILHqfHa7zm5G0isrY+poVGkGM8HzhfRH4mIrtE5Oq6WRceQa8lInI2cA6zotFKBDnOjwBvEJFDwH/itm5ajSDH+RDwau/1HwC9InJaHWwLhWYU/rKISAz4BPBXjbalDvwHsE5Vnw38EPg/DbYnCuK44Z7NuJ7wv4nIsoZaFC2vA25T1eyCa7Ym1wC3qOoa4GXAF73/2cXGe4AXi8gDwIuBw0DLXNNmvCCHgXzPdo23zKcXeBawQ0T2A5cDt7dgB+9Cx4mqnlDVKe/tZ4Hn1cm2sFjwGHG9qdtVNa2q+4DHcW8ErUSQ4/R5Ha0Z5oFgx/lW4OsAqno3kMQtbNZKBPnfPKKqr1bV5wIf9Ja1TId9Mwr/vcB5InKOiHTg/qPc7n+oqsOqulJV16nqOtzO3S2qursx5lZN2eMEEJEz895uAR6to31hsOAxAv+O6+0jIitxQz9762lkCAQ5TkRkA7AcuLvO9oVFkON8EngpgIg8E1f4j9XVytoJ8r+5Mq8l8wHg5jrbWBNNJ/yqmgH+HPg+rtB9XVUfEZFtIrKlsdaFR8DjfKeX4vgQ8E7cLJ+WIeAxfh84ISK/xu0ke6+qnmiMxdVRwW/2dcBX1UsFaTUCHudfAW/zfrO3Ate22vEGPM7NwGMi8jhwOvCxhhhbJVaywTAMo81oOo/fMAzDiBYTfsMwjDbDhN8wDKPNMOE3DMNoM0z4DcMw2gwTfqMsIpLNqyr5oIisC3n714rIp8Pcprfdd4tId9jbLbO/dSLyqyq/O3MORORPReSN3usN3jl/QESeUYNtFZ9jEfnPRT6Cuq2JN9oAo+lJqeolxT4QEcFNCc7V2aYgvBv4EjDRaEMqQVX/Ne/tq3DLO/zPBtjRkuWUjWCYx29UhOfZPiYiXwB+BawVkfeKyL1eMbm/zVv3DSJyj+e13iQijrf8zV5N+nuAFxVs+y5vO3eKyFne8ltE5F+8Im57RWSziNwsIo+KyC1FbHwnsAr4sYj82Ft2jYg8LCK/EpEbShzbfhH5e8/e3SJyqYh8X0R+KyJ/6q3T49l2v7e9eVUZRWS956VfJiLPEJE7ROQ+EfmpN3q33Pn9iIi8R9w69u8G3p53DEXPZ8H3LxORn4vIQ966vd5Hqzw7nhCR/5W3ftHz4p2Lld7rN3rX5CER+aK3rF9E/q933e8VkRd5y1+c1zp8IG//RjPR6LrQ9mjuB27hqQe9x7eAdUAOuNz7/Hdxa7ALriPxHWAT8EzcInMJb73/DbwROBN3WH8/bq3zn+HNOeCt/ybv9VuAf/de34JbGldwy9+OABd7+7sPuKSI3fuBld7rVXn7jONWxnxVie/4teQ/CfwStzZUP3DUWx4H+rzXK4HfeHatw70RXoA7v8BzvHXuBM7zXr8AuKvIfq/NOwcfAd5T5HXR81mwnQ7ccheXee/7PHuv9ZYvxS2hcAC3Fk3J8+KfP+Ai3PpJ/rlc4T1/BbjSe30W8GjeNXyR97oHiDf6N2yP+Q8L9RgLMSfU48X4D6jqLm/R73qPB7z3PbhF1p6NW1TuXjciRBcwiCt+O1T1mLe9r+HW5wG4gtlSt18EZjxT4D9UVUXkYVwRftj7/iO4ovtgmWO4rGCfX8a9Of17kXX9miwPAz2qOgqMisiUF/MeB/5ORDbh3gBX4w7ZB1dAvw28WlV/LSI9wAuBb3jnAKCzjJ3leCnFz2c+FwBPqeq9AKo64h0vwJ2qOuy9/zVwNnAaC5+Xq4BvqOpxb5snveW/A1yYd1x93vH+DPiEt61vquqhKo/XiBATfqMaxvNeC/D3qnpT/goi8g7g/6jqBwqWv6rKffpVSnN5r/33Yf6OF9rP/4cr8M9T1bS4FWKT3jrDuB70lcCvcVskp7REH0mFCEXOZwXkH0uW2s9ZDLfVVzgR0sdF5Lu4JZl/JiL/r6ruqXFfRshYjN+ole8Db/G8PURktYgM4IY4Xuu9RkRWiDsJyS9w65ifJiIJ4A/ztvVz3EJm4ArsT2uwaxQ3TANwj7fPlV5c/BrgJ1Vudykw6In+S3A9Z59p3Ek53igir/c87n0i8ofgdoaLyHOq3G+p85nPY8CZInKZt06viJQT+CDn5S7gD8WbZEREVnjLf0DeJCsicon3/AxVfVhVb8Ctclm2T8NoDObxGzWhqj8Qt/zu3V6zfwx4gxfq+BvgB+KWr00Df6aqu0TkI7iliU8xN0TzDuDzIvJe3FK+b67BtO3AHSJyRFVfIu6E2T/G9Zy/q6rfrnK7Xwb+wws57QbmeLOqOi4irwB+KCJjuDewf/HORQK3r+KhSnda6nzixuv9daZF5I+BT4lIF5DCDcmU2uZTC50XdatSfgz4iYhkcUN61+JWi/2MiPwSV0d2An8KvNu7IeaAR4DvVXqsRvRYdU7DMIw2w0I9hmEYbYYJv2EYRpthwm8YhtFmmPAbhmG0GSb8hmEYbYYJv2EYRpthwm8YhtFm/P92Xh4cKmU7ngAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eH0KPW1QEVl1"
      },
      "source": [
        "*Referenced from a Coursera Guided Project*"
      ]
    }
  ]
}