Covid_vacc_track.ipynb

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  "metadata": {
    "colab": {
      "name": "Covid_vacc_track.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyMlbz/oQbK85oTAntnRPu1a",
      "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/abhirukth/Data-Sci.-File/blob/main/Covid_vacc_track.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WdCuMF6UmnSO",
        "outputId": "2f64f641-90a1-4310-9fa3-16e354776323"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lwc4m8iumtZj"
      },
      "source": [
        "import os\n",
        "os.environ['KAGGLE_CONFIG_DIR'] = '/content'"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZNCkDORVnC-1",
        "outputId": "01cf6ba1-fc27-4d36-e14d-c2ec6a6da75c"
      },
      "source": [
        "!kaggle datasets download -d gpreda/covid-world-vaccination-progress"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Warning: Your Kaggle API key is readable by other users on this system! To fix this, you can run 'chmod 600 /content/kaggle.json'\n",
            "Downloading covid-world-vaccination-progress.zip to /content\n",
            "  0% 0.00/467k [00:00<?, ?B/s]\n",
            "100% 467k/467k [00:00<00:00, 63.3MB/s]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UbDuApAB97Ku"
      },
      "source": [
        "## Importing Libraries"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XypAbGcZnGhk"
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "from matplotlib import pyplot as plt\n",
        "%matplotlib inline\n",
        "from matplotlib.pyplot import figure\n",
        "import math"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 674
        },
        "id": "BrzM9_SAneg4",
        "outputId": "984ee0fa-cca9-4a96-b334-084a3386a901"
      },
      "source": [
        "df_vacc = pd.read_csv('/content/country_vaccinations.csv')\n",
        "df_vacc"
      ],
      "execution_count": 5,
      "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</th>\n",
              "      <th>iso_code</th>\n",
              "      <th>date</th>\n",
              "      <th>total_vaccinations</th>\n",
              "      <th>people_vaccinated</th>\n",
              "      <th>people_fully_vaccinated</th>\n",
              "      <th>daily_vaccinations_raw</th>\n",
              "      <th>daily_vaccinations</th>\n",
              "      <th>total_vaccinations_per_hundred</th>\n",
              "      <th>people_vaccinated_per_hundred</th>\n",
              "      <th>people_fully_vaccinated_per_hundred</th>\n",
              "      <th>daily_vaccinations_per_million</th>\n",
              "      <th>vaccines</th>\n",
              "      <th>source_name</th>\n",
              "      <th>source_website</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-22</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-23</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1367.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-24</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1367.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-25</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1367.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-26</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1367.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20918</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-24</td>\n",
              "      <td>914921.0</td>\n",
              "      <td>633635.0</td>\n",
              "      <td>281286.0</td>\n",
              "      <td>3888.0</td>\n",
              "      <td>14380.0</td>\n",
              "      <td>6.16</td>\n",
              "      <td>4.26</td>\n",
              "      <td>1.89</td>\n",
              "      <td>968.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1398356390...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20919</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-25</td>\n",
              "      <td>927990.0</td>\n",
              "      <td>639553.0</td>\n",
              "      <td>288437.0</td>\n",
              "      <td>13069.0</td>\n",
              "      <td>13719.0</td>\n",
              "      <td>6.24</td>\n",
              "      <td>4.30</td>\n",
              "      <td>1.94</td>\n",
              "      <td>923.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1398356390...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20920</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-26</td>\n",
              "      <td>937040.0</td>\n",
              "      <td>643531.0</td>\n",
              "      <td>293509.0</td>\n",
              "      <td>9050.0</td>\n",
              "      <td>13194.0</td>\n",
              "      <td>6.30</td>\n",
              "      <td>4.33</td>\n",
              "      <td>1.97</td>\n",
              "      <td>888.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1398356390...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20921</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-27</td>\n",
              "      <td>953389.0</td>\n",
              "      <td>648121.0</td>\n",
              "      <td>305268.0</td>\n",
              "      <td>16349.0</td>\n",
              "      <td>12285.0</td>\n",
              "      <td>6.41</td>\n",
              "      <td>4.36</td>\n",
              "      <td>2.05</td>\n",
              "      <td>827.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1398356390...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20922</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-28</td>\n",
              "      <td>976796.0</td>\n",
              "      <td>656630.0</td>\n",
              "      <td>320166.0</td>\n",
              "      <td>23407.0</td>\n",
              "      <td>12695.0</td>\n",
              "      <td>6.57</td>\n",
              "      <td>4.42</td>\n",
              "      <td>2.15</td>\n",
              "      <td>854.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1398356390...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>20923 rows × 15 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           country  ...                                     source_website\n",
              "0      Afghanistan  ...                           https://covid19.who.int/\n",
              "1      Afghanistan  ...                           https://covid19.who.int/\n",
              "2      Afghanistan  ...                           https://covid19.who.int/\n",
              "3      Afghanistan  ...                           https://covid19.who.int/\n",
              "4      Afghanistan  ...                           https://covid19.who.int/\n",
              "...            ...  ...                                                ...\n",
              "20918     Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1398356390...\n",
              "20919     Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1398356390...\n",
              "20920     Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1398356390...\n",
              "20921     Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1398356390...\n",
              "20922     Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1398356390...\n",
              "\n",
              "[20923 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4_heIBZM-F_Z"
      },
      "source": [
        "### Dataset of the country \"Afghanistan\""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 758
        },
        "id": "jAxQaJCKo6Bm",
        "outputId": "cedf0215-f05b-4417-b6ac-404bc5ceb740"
      },
      "source": [
        "df_vacc.loc[df_vacc.country == \"Afghanistan\"]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    }\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</th>\n",
              "      <th>iso_code</th>\n",
              "      <th>date</th>\n",
              "      <th>total_vaccinations</th>\n",
              "      <th>people_vaccinated</th>\n",
              "      <th>people_fully_vaccinated</th>\n",
              "      <th>daily_vaccinations_raw</th>\n",
              "      <th>daily_vaccinations</th>\n",
              "      <th>total_vaccinations_per_hundred</th>\n",
              "      <th>people_vaccinated_per_hundred</th>\n",
              "      <th>people_fully_vaccinated_per_hundred</th>\n",
              "      <th>daily_vaccinations_per_million</th>\n",
              "      <th>vaccines</th>\n",
              "      <th>source_name</th>\n",
              "      <th>source_website</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-22</td>\n",
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              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-23</td>\n",
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              "      <td>35.0</td>\n",
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              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-24</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-25</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>1367.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-26</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1367.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>89</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-05-22</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5257.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>135.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-05-23</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5474.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>141.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>91</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-05-24</td>\n",
              "      <td>573277.0</td>\n",
              "      <td>476367.0</td>\n",
              "      <td>96910.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5692.0</td>\n",
              "      <td>1.47</td>\n",
              "      <td>1.22</td>\n",
              "      <td>0.25</td>\n",
              "      <td>146.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>92</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-05-25</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6230.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>160.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-05-26</td>\n",
              "      <td>590454.0</td>\n",
              "      <td>479372.0</td>\n",
              "      <td>111082.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6768.0</td>\n",
              "      <td>1.52</td>\n",
              "      <td>1.23</td>\n",
              "      <td>0.29</td>\n",
              "      <td>174.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>94 rows × 15 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        country iso_code  ...                source_name            source_website\n",
              "0   Afghanistan      AFG  ...  World Health Organization  https://covid19.who.int/\n",
              "1   Afghanistan      AFG  ...  World Health Organization  https://covid19.who.int/\n",
              "2   Afghanistan      AFG  ...  World Health Organization  https://covid19.who.int/\n",
              "3   Afghanistan      AFG  ...  World Health Organization  https://covid19.who.int/\n",
              "4   Afghanistan      AFG  ...  World Health Organization  https://covid19.who.int/\n",
              "..          ...      ...  ...                        ...                       ...\n",
              "89  Afghanistan      AFG  ...  World Health Organization  https://covid19.who.int/\n",
              "90  Afghanistan      AFG  ...  World Health Organization  https://covid19.who.int/\n",
              "91  Afghanistan      AFG  ...  World Health Organization  https://covid19.who.int/\n",
              "92  Afghanistan      AFG  ...  World Health Organization  https://covid19.who.int/\n",
              "93  Afghanistan      AFG  ...  World Health Organization  https://covid19.who.int/\n",
              "\n",
              "[94 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VSKzDhvYpTg7",
        "outputId": "a15d22cc-1ff3-442f-b7e5-6e358eae42ab"
      },
      "source": [
        "# len(df_vacc.country.unique())\n",
        "df_vacc.country.unique()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Afghanistan', 'Albania', 'Algeria', 'Andorra', 'Angola',\n",
              "       'Anguilla', 'Antigua and Barbuda', 'Argentina', 'Armenia', 'Aruba',\n",
              "       'Australia', 'Austria', 'Azerbaijan', 'Bahamas', 'Bahrain',\n",
              "       'Bangladesh', 'Barbados', 'Belarus', 'Belgium', 'Belize', 'Benin',\n",
              "       'Bermuda', 'Bhutan', 'Bolivia', 'Bonaire Sint Eustatius and Saba',\n",
              "       'Bosnia and Herzegovina', 'Botswana', 'Brazil',\n",
              "       'British Virgin Islands', 'Brunei', 'Bulgaria', 'Cambodia',\n",
              "       'Cameroon', 'Canada', 'Cape Verde', 'Cayman Islands',\n",
              "       'Central African Republic', 'Chile', 'China', 'Colombia',\n",
              "       'Comoros', 'Congo', 'Cook Islands', 'Costa Rica', \"Cote d'Ivoire\",\n",
              "       'Croatia', 'Cuba', 'Curacao', 'Cyprus', 'Czechia',\n",
              "       'Democratic Republic of Congo', 'Denmark', 'Djibouti', 'Dominica',\n",
              "       'Dominican Republic', 'Ecuador', 'Egypt', 'El Salvador', 'England',\n",
              "       'Equatorial Guinea', 'Estonia', 'Eswatini', 'Ethiopia',\n",
              "       'Faeroe Islands', 'Falkland Islands', 'Fiji', 'Finland', 'France',\n",
              "       'French Polynesia', 'Gabon', 'Gambia', 'Georgia', 'Germany',\n",
              "       'Ghana', 'Gibraltar', 'Greece', 'Greenland', 'Grenada',\n",
              "       'Guatemala', 'Guernsey', 'Guinea', 'Guinea-Bissau', 'Guyana',\n",
              "       'Honduras', 'Hong Kong', 'Hungary', 'Iceland', 'India',\n",
              "       'Indonesia', 'Iran', 'Iraq', 'Ireland', 'Isle of Man', 'Israel',\n",
              "       'Italy', 'Jamaica', 'Japan', 'Jersey', 'Jordan', 'Kazakhstan',\n",
              "       'Kenya', 'Kosovo', 'Kuwait', 'Kyrgyzstan', 'Laos', 'Latvia',\n",
              "       'Lebanon', 'Lesotho', 'Liberia', 'Libya', 'Liechtenstein',\n",
              "       'Lithuania', 'Luxembourg', 'Macao', 'Madagascar', 'Malawi',\n",
              "       'Malaysia', 'Maldives', 'Mali', 'Malta', 'Mauritania', 'Mauritius',\n",
              "       'Mexico', 'Moldova', 'Monaco', 'Mongolia', 'Montenegro',\n",
              "       'Montserrat', 'Morocco', 'Mozambique', 'Myanmar', 'Namibia',\n",
              "       'Nauru', 'Nepal', 'Netherlands', 'New Caledonia', 'New Zealand',\n",
              "       'Nicaragua', 'Niger', 'Nigeria', 'North Macedonia',\n",
              "       'Northern Cyprus', 'Northern Ireland', 'Norway', 'Oman',\n",
              "       'Pakistan', 'Palestine', 'Panama', 'Papua New Guinea', 'Paraguay',\n",
              "       'Peru', 'Philippines', 'Pitcairn', 'Poland', 'Portugal', 'Qatar',\n",
              "       'Romania', 'Russia', 'Rwanda', 'Saint Helena',\n",
              "       'Saint Kitts and Nevis', 'Saint Lucia',\n",
              "       'Saint Vincent and the Grenadines', 'Samoa', 'San Marino',\n",
              "       'Sao Tome and Principe', 'Saudi Arabia', 'Scotland', 'Senegal',\n",
              "       'Serbia', 'Seychelles', 'Sierra Leone', 'Singapore',\n",
              "       'Sint Maarten (Dutch part)', 'Slovakia', 'Slovenia',\n",
              "       'Solomon Islands', 'Somalia', 'South Africa', 'South Korea',\n",
              "       'South Sudan', 'Spain', 'Sri Lanka', 'Sudan', 'Suriname', 'Sweden',\n",
              "       'Switzerland', 'Syria', 'Taiwan', 'Tajikistan', 'Thailand',\n",
              "       'Timor', 'Togo', 'Tonga', 'Trinidad and Tobago', 'Tunisia',\n",
              "       'Turkey', 'Turkmenistan', 'Turks and Caicos Islands', 'Tuvalu',\n",
              "       'Uganda', 'Ukraine', 'United Arab Emirates', 'United Kingdom',\n",
              "       'United States', 'Uruguay', 'Uzbekistan', 'Venezuela', 'Vietnam',\n",
              "       'Wales', 'Wallis and Futuna', 'Yemen', 'Zambia', 'Zimbabwe'],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NDcxzGAf-SAS"
      },
      "source": [
        "The list of different countries has been printed in an numpy array, which will help in data analysis in further stage"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n27aisjE-gbZ"
      },
      "source": [
        "### Graph plot of \"Afghanistan\" representing cummulative total vaccinations for each day"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 511
        },
        "id": "vuraKpZJp320",
        "outputId": "1dd28a45-81a7-409e-f424-5302cc3fd244"
      },
      "source": [
        "figure(figsize = (20, 8))\n",
        "sns.barplot(x = df_vacc.loc[df_vacc.country == 'Afghanistan']['date'], y = df_vacc.loc[df_vacc.country == 'Afghanistan']['total_vaccinations'])\n",
        "plt.xticks(rotation = 90)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 674
        },
        "id": "spa3yQdAXMzt",
        "outputId": "606fd0f1-8040-448c-ed4c-fdf22f26ce92"
      },
      "source": [
        "df_vacc.daily_vaccinations = df_vacc.daily_vaccinations.fillna(0)\n",
        "df_vacc"
      ],
      "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</th>\n",
              "      <th>iso_code</th>\n",
              "      <th>date</th>\n",
              "      <th>total_vaccinations</th>\n",
              "      <th>people_vaccinated</th>\n",
              "      <th>people_fully_vaccinated</th>\n",
              "      <th>daily_vaccinations_raw</th>\n",
              "      <th>daily_vaccinations</th>\n",
              "      <th>total_vaccinations_per_hundred</th>\n",
              "      <th>people_vaccinated_per_hundred</th>\n",
              "      <th>people_fully_vaccinated_per_hundred</th>\n",
              "      <th>daily_vaccinations_per_million</th>\n",
              "      <th>vaccines</th>\n",
              "      <th>source_name</th>\n",
              "      <th>source_website</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-22</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-23</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1367.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-24</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1367.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-25</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1367.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-26</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1367.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20918</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-24</td>\n",
              "      <td>914921.0</td>\n",
              "      <td>633635.0</td>\n",
              "      <td>281286.0</td>\n",
              "      <td>3888.0</td>\n",
              "      <td>14380.0</td>\n",
              "      <td>6.16</td>\n",
              "      <td>4.26</td>\n",
              "      <td>1.89</td>\n",
              "      <td>968.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1398356390...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20919</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-25</td>\n",
              "      <td>927990.0</td>\n",
              "      <td>639553.0</td>\n",
              "      <td>288437.0</td>\n",
              "      <td>13069.0</td>\n",
              "      <td>13719.0</td>\n",
              "      <td>6.24</td>\n",
              "      <td>4.30</td>\n",
              "      <td>1.94</td>\n",
              "      <td>923.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1398356390...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20920</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-26</td>\n",
              "      <td>937040.0</td>\n",
              "      <td>643531.0</td>\n",
              "      <td>293509.0</td>\n",
              "      <td>9050.0</td>\n",
              "      <td>13194.0</td>\n",
              "      <td>6.30</td>\n",
              "      <td>4.33</td>\n",
              "      <td>1.97</td>\n",
              "      <td>888.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1398356390...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20921</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-27</td>\n",
              "      <td>953389.0</td>\n",
              "      <td>648121.0</td>\n",
              "      <td>305268.0</td>\n",
              "      <td>16349.0</td>\n",
              "      <td>12285.0</td>\n",
              "      <td>6.41</td>\n",
              "      <td>4.36</td>\n",
              "      <td>2.05</td>\n",
              "      <td>827.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1398356390...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20922</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-28</td>\n",
              "      <td>976796.0</td>\n",
              "      <td>656630.0</td>\n",
              "      <td>320166.0</td>\n",
              "      <td>23407.0</td>\n",
              "      <td>12695.0</td>\n",
              "      <td>6.57</td>\n",
              "      <td>4.42</td>\n",
              "      <td>2.15</td>\n",
              "      <td>854.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1398356390...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>20923 rows × 15 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           country  ...                                     source_website\n",
              "0      Afghanistan  ...                           https://covid19.who.int/\n",
              "1      Afghanistan  ...                           https://covid19.who.int/\n",
              "2      Afghanistan  ...                           https://covid19.who.int/\n",
              "3      Afghanistan  ...                           https://covid19.who.int/\n",
              "4      Afghanistan  ...                           https://covid19.who.int/\n",
              "...            ...  ...                                                ...\n",
              "20918     Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1398356390...\n",
              "20919     Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1398356390...\n",
              "20920     Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1398356390...\n",
              "20921     Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1398356390...\n",
              "20922     Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1398356390...\n",
              "\n",
              "[20923 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S2FyiYHu_oPI"
      },
      "source": [
        "Daily vaccination slots having NULL values can be replaced by 0.0 as there is no record on the first day of that particular country."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iWutG3Gk-zRk"
      },
      "source": [
        "\n",
        "\n",
        "*   We can observe that there are NULL values in total vaccinations column.\n",
        "*   Total vaccinations are sum of daily vaccinations for that current date.\n",
        "*   Hence Total vaccinations can be depicted as the cummulative sum of each current daily vaccinations with the previous date's total vaccination count.\n",
        "*   Hence NULL values in total vaccinations can be replaced\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 758
        },
        "id": "Je1EEwmGG1TF",
        "outputId": "ccf35b0a-1df4-4e3a-8bf7-ebc7b5ddb6c9"
      },
      "source": [
        "for i in range(len(df_vacc.total_vaccinations)):\n",
        "  if np.isnan(df_vacc.total_vaccinations[i]):\n",
        "    df_vacc.total_vaccinations[i] = df_vacc.daily_vaccinations[i] + df_vacc.total_vaccinations[i-1]\n",
        "  \n",
        "df_vacc"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  This is separate from the ipykernel package so we can avoid doing imports until\n"
          ],
          "name": "stderr"
        },
        {
          "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</th>\n",
              "      <th>iso_code</th>\n",
              "      <th>date</th>\n",
              "      <th>total_vaccinations</th>\n",
              "      <th>people_vaccinated</th>\n",
              "      <th>people_fully_vaccinated</th>\n",
              "      <th>daily_vaccinations_raw</th>\n",
              "      <th>daily_vaccinations</th>\n",
              "      <th>total_vaccinations_per_hundred</th>\n",
              "      <th>people_vaccinated_per_hundred</th>\n",
              "      <th>people_fully_vaccinated_per_hundred</th>\n",
              "      <th>daily_vaccinations_per_million</th>\n",
              "      <th>vaccines</th>\n",
              "      <th>source_name</th>\n",
              "      <th>source_website</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-22</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-23</td>\n",
              "      <td>1367.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1367.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-24</td>\n",
              "      <td>2734.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1367.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-25</td>\n",
              "      <td>4101.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1367.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>2021-02-26</td>\n",
              "      <td>5468.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1367.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35.0</td>\n",
              "      <td>Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm...</td>\n",
              "      <td>World Health Organization</td>\n",
              "      <td>https://covid19.who.int/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20918</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-24</td>\n",
              "      <td>914921.0</td>\n",
              "      <td>633635.0</td>\n",
              "      <td>281286.0</td>\n",
              "      <td>3888.0</td>\n",
              "      <td>14380.0</td>\n",
              "      <td>6.16</td>\n",
              "      <td>4.26</td>\n",
              "      <td>1.89</td>\n",
              "      <td>968.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1398356390...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20919</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-25</td>\n",
              "      <td>927990.0</td>\n",
              "      <td>639553.0</td>\n",
              "      <td>288437.0</td>\n",
              "      <td>13069.0</td>\n",
              "      <td>13719.0</td>\n",
              "      <td>6.24</td>\n",
              "      <td>4.30</td>\n",
              "      <td>1.94</td>\n",
              "      <td>923.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1398356390...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20920</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-26</td>\n",
              "      <td>937040.0</td>\n",
              "      <td>643531.0</td>\n",
              "      <td>293509.0</td>\n",
              "      <td>9050.0</td>\n",
              "      <td>13194.0</td>\n",
              "      <td>6.30</td>\n",
              "      <td>4.33</td>\n",
              "      <td>1.97</td>\n",
              "      <td>888.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1398356390...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20921</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-27</td>\n",
              "      <td>953389.0</td>\n",
              "      <td>648121.0</td>\n",
              "      <td>305268.0</td>\n",
              "      <td>16349.0</td>\n",
              "      <td>12285.0</td>\n",
              "      <td>6.41</td>\n",
              "      <td>4.36</td>\n",
              "      <td>2.05</td>\n",
              "      <td>827.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1398356390...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20922</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-28</td>\n",
              "      <td>976796.0</td>\n",
              "      <td>656630.0</td>\n",
              "      <td>320166.0</td>\n",
              "      <td>23407.0</td>\n",
              "      <td>12695.0</td>\n",
              "      <td>6.57</td>\n",
              "      <td>4.42</td>\n",
              "      <td>2.15</td>\n",
              "      <td>854.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1398356390...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>20923 rows × 15 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           country  ...                                     source_website\n",
              "0      Afghanistan  ...                           https://covid19.who.int/\n",
              "1      Afghanistan  ...                           https://covid19.who.int/\n",
              "2      Afghanistan  ...                           https://covid19.who.int/\n",
              "3      Afghanistan  ...                           https://covid19.who.int/\n",
              "4      Afghanistan  ...                           https://covid19.who.int/\n",
              "...            ...  ...                                                ...\n",
              "20918     Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1398356390...\n",
              "20919     Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1398356390...\n",
              "20920     Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1398356390...\n",
              "20921     Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1398356390...\n",
              "20922     Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1398356390...\n",
              "\n",
              "[20923 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RoBTol8g_6U3"
      },
      "source": [
        "#### Graph plot of \"Afghanistan\" representing cummulative total vaccinations for each day after filling missing data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 511
        },
        "id": "IFYzYrOVJIsM",
        "outputId": "7867c76f-8a22-4b3f-aac8-4476050c2658"
      },
      "source": [
        "figure(figsize = (20, 8))\n",
        "sns.barplot(x = df_vacc.loc[df_vacc.country == 'Afghanistan']['date'], y = df_vacc.loc[df_vacc.country == 'Afghanistan']['total_vaccinations'])\n",
        "plt.xticks(rotation = 90)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0RqxL99qJYtr"
      },
      "source": [
        "# figure(figsize = (50, 8))\n",
        "# sns.barplot(x = df_vacc['country'], y = df_vacc['total_vaccinations'])\n",
        "# plt.xticks(rotation = 90)\n",
        "# plt.show()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CQ6cm61QNkL-"
      },
      "source": [
        "# def plot_date_totalVacc(country_name):\n",
        "#   figure(figsize = (20, 8))\n",
        "#   sns.barplot(x = df_vacc.loc[df_vacc.country == country_name]['date'], y = df_vacc.loc[df_vacc.country == country_name]['total_vaccinations'])\n",
        "#   plt.xticks(rotation = 90)\n",
        "#   plt.show()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "26BIpudsw2ha"
      },
      "source": [
        "def vaccine_count(country_name):\n",
        "  print(\"Country name : \" + country_name)\n",
        "  print(df_vacc.loc[df_vacc.country == country_name]['vaccines'].unique())\n",
        "  print(\"\\n\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Qm44TyvdN19N"
      },
      "source": [
        "# for i in df_vacc.country.unique():\n",
        "#   plot_date_totalVacc(i)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bmA29cc_AOEz"
      },
      "source": [
        "Task 1 : \"What vaccines are used and in which countries?\" done ✔️"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b4ZZZACgwZSI",
        "outputId": "0a20abd6-6859-4a59-8ff8-34a8eb37120b"
      },
      "source": [
        "for i in df_vacc.country.unique():\n",
        "  vaccine_count(i)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Country name : Afghanistan\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Albania\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Algeria\n",
            "['Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Andorra\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Angola\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Anguilla\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Antigua and Barbuda\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Argentina\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Armenia\n",
            "['Oxford/AstraZeneca, Sinovac, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Aruba\n",
            "['Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Australia\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Austria\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Azerbaijan\n",
            "['Oxford/AstraZeneca, Sinovac, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Bahamas\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Bahrain\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Bangladesh\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Barbados\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Belarus\n",
            "['Sinopharm/Beijing, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Belgium\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Belize\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Benin\n",
            "['Oxford/AstraZeneca, Sinovac']\n",
            "\n",
            "\n",
            "Country name : Bermuda\n",
            "['Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Bhutan\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Bolivia\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Bonaire Sint Eustatius and Saba\n",
            "['Moderna, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Bosnia and Herzegovina\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Botswana\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Brazil\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac']\n",
            "\n",
            "\n",
            "Country name : British Virgin Islands\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Brunei\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Bulgaria\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Cambodia\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing, Sinovac']\n",
            "\n",
            "\n",
            "Country name : Cameroon\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Canada\n",
            "['Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Cape Verde\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Cayman Islands\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Central African Republic\n",
            "['Covaxin, Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Chile\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac']\n",
            "\n",
            "\n",
            "Country name : China\n",
            "['CanSino, Sinopharm/Beijing, Sinopharm/Wuhan, Sinovac']\n",
            "\n",
            "\n",
            "Country name : Colombia\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac']\n",
            "\n",
            "\n",
            "Country name : Comoros\n",
            "['Covaxin, Oxford/AstraZeneca, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Congo\n",
            "['Moderna, Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Cook Islands\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Costa Rica\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Cote d'Ivoire\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Croatia\n",
            "['Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Cuba\n",
            "['Abdala, Soberana02']\n",
            "\n",
            "\n",
            "Country name : Curacao\n",
            "['Moderna, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Cyprus\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Czechia\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Democratic Republic of Congo\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Denmark\n",
            "['Moderna, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Djibouti\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Dominica\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Dominican Republic\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing, Sinovac']\n",
            "\n",
            "\n",
            "Country name : Ecuador\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac']\n",
            "\n",
            "\n",
            "Country name : Egypt\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing, Sinovac, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : El Salvador\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac']\n",
            "\n",
            "\n",
            "Country name : England\n",
            "['Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Equatorial Guinea\n",
            "['Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Estonia\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Eswatini\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Ethiopia\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Faeroe Islands\n",
            "['Moderna, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Falkland Islands\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Fiji\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Finland\n",
            "['Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : France\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : French Polynesia\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Gabon\n",
            "['Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Gambia\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Georgia\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Germany\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Ghana\n",
            "['Oxford/AstraZeneca, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Gibraltar\n",
            "['Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Greece\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Greenland\n",
            "['Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Grenada\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Guatemala\n",
            "['Moderna, Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Guernsey\n",
            "['Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Guinea\n",
            "['Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Guinea-Bissau\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Guyana\n",
            "['Oxford/AstraZeneca, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Honduras\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Hong Kong\n",
            "['Pfizer/BioNTech, Sinovac']\n",
            "\n",
            "\n",
            "Country name : Hungary\n",
            "['Moderna, Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Iceland\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : India\n",
            "['Covaxin, Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Indonesia\n",
            "['Oxford/AstraZeneca, Sinovac']\n",
            "\n",
            "\n",
            "Country name : Iran\n",
            "['Covaxin, Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Iraq\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Ireland\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Isle of Man\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Israel\n",
            "['Moderna, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Italy\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Jamaica\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Japan\n",
            "['Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Jersey\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Jordan\n",
            "['Pfizer/BioNTech, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Kazakhstan\n",
            "['QazVac, Sinopharm/HayatVax, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Kenya\n",
            "['Oxford/AstraZeneca, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Kosovo\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Kuwait\n",
            "['Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Kyrgyzstan\n",
            "['Sinopharm/Beijing, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Laos\n",
            "['Sinopharm/Beijing, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Latvia\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Lebanon\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Lesotho\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Liberia\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Libya\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Liechtenstein\n",
            "['Moderna, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Lithuania\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Luxembourg\n",
            "['Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Macao\n",
            "['Pfizer/BioNTech, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Madagascar\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Malawi\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Malaysia\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac']\n",
            "\n",
            "\n",
            "Country name : Maldives\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Mali\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Malta\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Mauritania\n",
            "['Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Mauritius\n",
            "['Covaxin, Oxford/AstraZeneca, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Mexico\n",
            "['CanSino, Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Moldova\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Monaco\n",
            "['Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Mongolia\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Montenegro\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Montserrat\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Morocco\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Mozambique\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Myanmar\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Namibia\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Nauru\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Nepal\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Netherlands\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : New Caledonia\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : New Zealand\n",
            "['Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Nicaragua\n",
            "['Oxford/AstraZeneca, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Niger\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Nigeria\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : North Macedonia\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Northern Cyprus\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac']\n",
            "\n",
            "\n",
            "Country name : Northern Ireland\n",
            "['Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Norway\n",
            "['Moderna, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Oman\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Pakistan\n",
            "['CanSino, Oxford/AstraZeneca, Sinopharm/Beijing, Sinovac, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Palestine\n",
            "['Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Panama\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Papua New Guinea\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Paraguay\n",
            "['Covaxin, Oxford/AstraZeneca, Sinopharm/Beijing, Sinovac, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Peru\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Philippines\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Pitcairn\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Poland\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Portugal\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Qatar\n",
            "['Moderna, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Romania\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Russia\n",
            "['EpiVacCorona, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Rwanda\n",
            "['Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Saint Helena\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Saint Kitts and Nevis\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Saint Lucia\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Saint Vincent and the Grenadines\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Samoa\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : San Marino\n",
            "['Pfizer/BioNTech, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Sao Tome and Principe\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Saudi Arabia\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Scotland\n",
            "['Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Senegal\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Serbia\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Seychelles\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Sierra Leone\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Singapore\n",
            "['Moderna, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Sint Maarten (Dutch part)\n",
            "['Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Slovakia\n",
            "['Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Slovenia\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Solomon Islands\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Somalia\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing, Sinovac']\n",
            "\n",
            "\n",
            "Country name : South Africa\n",
            "['Johnson&Johnson, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : South Korea\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : South Sudan\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Spain\n",
            "['Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Sri Lanka\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Sudan\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sinovac']\n",
            "\n",
            "\n",
            "Country name : Suriname\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Sweden\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Switzerland\n",
            "['Moderna, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Syria\n",
            "['Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Taiwan\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Tajikistan\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Thailand\n",
            "['Oxford/AstraZeneca, Sinovac']\n",
            "\n",
            "\n",
            "Country name : Timor\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Togo\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Tonga\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Trinidad and Tobago\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Tunisia\n",
            "['Pfizer/BioNTech, Sinovac, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Turkey\n",
            "['Pfizer/BioNTech, Sinovac']\n",
            "\n",
            "\n",
            "Country name : Turkmenistan\n",
            "['EpiVacCorona, Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Turks and Caicos Islands\n",
            "['Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Tuvalu\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Uganda\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Ukraine\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac']\n",
            "\n",
            "\n",
            "Country name : United Arab Emirates\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sinopharm/Wuhan, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : United Kingdom\n",
            "['Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : United States\n",
            "['Johnson&Johnson, Moderna, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Uruguay\n",
            "['Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac']\n",
            "\n",
            "\n",
            "Country name : Uzbekistan\n",
            "['Oxford/AstraZeneca, RBD-Dimer, Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Venezuela\n",
            "['Sputnik V']\n",
            "\n",
            "\n",
            "Country name : Vietnam\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Wales\n",
            "['Moderna, Oxford/AstraZeneca, Pfizer/BioNTech']\n",
            "\n",
            "\n",
            "Country name : Wallis and Futuna\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Yemen\n",
            "['Oxford/AstraZeneca']\n",
            "\n",
            "\n",
            "Country name : Zambia\n",
            "['Oxford/AstraZeneca, Sinopharm/Beijing']\n",
            "\n",
            "\n",
            "Country name : Zimbabwe\n",
            "['Sinopharm/Beijing']\n",
            "\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Rr1MAn1SS_9Y"
      },
      "source": [
        "# figure(figsize = (20, 8))\n",
        "# sns.countplot(df_vacc.vaccines)\n",
        "# plt.xticks(rotation = 90)\n",
        "# plt.show()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DWlfDDtfBLvD"
      },
      "source": [
        "Task 2 : \"What country is vaccinated more people?\" done ✔️\n",
        "\n",
        "Answer : China has vaccinated more people"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yPc1q6ltTE4Y",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ac0422b0-1bcd-4525-cb8a-b911bb1a9df3"
      },
      "source": [
        "country_name = []\n",
        "vaccine_count = []\n",
        "country_vaccine = []\n",
        "\n",
        "for i in df_vacc.country.unique():\n",
        "  array = df_vacc.loc[df_vacc.country == i]['total_vaccinations'].fillna(0)\n",
        "  np_array = np.array(array)\n",
        "  country_name.append(i)\n",
        "  vaccine_count.append(np_array[-1])\n",
        "\n",
        "country_vaccine.append(country_name)\n",
        "country_vaccine.append(vaccine_count)\n",
        "country_vaccine"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['Afghanistan',\n",
              "  'Albania',\n",
              "  'Algeria',\n",
              "  'Andorra',\n",
              "  'Angola',\n",
              "  'Anguilla',\n",
              "  'Antigua and Barbuda',\n",
              "  'Argentina',\n",
              "  'Armenia',\n",
              "  'Aruba',\n",
              "  'Australia',\n",
              "  'Austria',\n",
              "  'Azerbaijan',\n",
              "  'Bahamas',\n",
              "  'Bahrain',\n",
              "  'Bangladesh',\n",
              "  'Barbados',\n",
              "  'Belarus',\n",
              "  'Belgium',\n",
              "  'Belize',\n",
              "  'Benin',\n",
              "  'Bermuda',\n",
              "  'Bhutan',\n",
              "  'Bolivia',\n",
              "  'Bonaire Sint Eustatius and Saba',\n",
              "  'Bosnia and Herzegovina',\n",
              "  'Botswana',\n",
              "  'Brazil',\n",
              "  'British Virgin Islands',\n",
              "  'Brunei',\n",
              "  'Bulgaria',\n",
              "  'Cambodia',\n",
              "  'Cameroon',\n",
              "  'Canada',\n",
              "  'Cape Verde',\n",
              "  'Cayman Islands',\n",
              "  'Central African Republic',\n",
              "  'Chile',\n",
              "  'China',\n",
              "  'Colombia',\n",
              "  'Comoros',\n",
              "  'Congo',\n",
              "  'Cook Islands',\n",
              "  'Costa Rica',\n",
              "  \"Cote d'Ivoire\",\n",
              "  'Croatia',\n",
              "  'Cuba',\n",
              "  'Curacao',\n",
              "  'Cyprus',\n",
              "  'Czechia',\n",
              "  'Democratic Republic of Congo',\n",
              "  'Denmark',\n",
              "  'Djibouti',\n",
              "  'Dominica',\n",
              "  'Dominican Republic',\n",
              "  'Ecuador',\n",
              "  'Egypt',\n",
              "  'El Salvador',\n",
              "  'England',\n",
              "  'Equatorial Guinea',\n",
              "  'Estonia',\n",
              "  'Eswatini',\n",
              "  'Ethiopia',\n",
              "  'Faeroe Islands',\n",
              "  'Falkland Islands',\n",
              "  'Fiji',\n",
              "  'Finland',\n",
              "  'France',\n",
              "  'French Polynesia',\n",
              "  'Gabon',\n",
              "  'Gambia',\n",
              "  'Georgia',\n",
              "  'Germany',\n",
              "  'Ghana',\n",
              "  'Gibraltar',\n",
              "  'Greece',\n",
              "  'Greenland',\n",
              "  'Grenada',\n",
              "  'Guatemala',\n",
              "  'Guernsey',\n",
              "  'Guinea',\n",
              "  'Guinea-Bissau',\n",
              "  'Guyana',\n",
              "  'Honduras',\n",
              "  'Hong Kong',\n",
              "  'Hungary',\n",
              "  'Iceland',\n",
              "  'India',\n",
              "  'Indonesia',\n",
              "  'Iran',\n",
              "  'Iraq',\n",
              "  'Ireland',\n",
              "  'Isle of Man',\n",
              "  'Israel',\n",
              "  'Italy',\n",
              "  'Jamaica',\n",
              "  'Japan',\n",
              "  'Jersey',\n",
              "  'Jordan',\n",
              "  'Kazakhstan',\n",
              "  'Kenya',\n",
              "  'Kosovo',\n",
              "  'Kuwait',\n",
              "  'Kyrgyzstan',\n",
              "  'Laos',\n",
              "  'Latvia',\n",
              "  'Lebanon',\n",
              "  'Lesotho',\n",
              "  'Liberia',\n",
              "  'Libya',\n",
              "  'Liechtenstein',\n",
              "  'Lithuania',\n",
              "  'Luxembourg',\n",
              "  'Macao',\n",
              "  'Madagascar',\n",
              "  'Malawi',\n",
              "  'Malaysia',\n",
              "  'Maldives',\n",
              "  'Mali',\n",
              "  'Malta',\n",
              "  'Mauritania',\n",
              "  'Mauritius',\n",
              "  'Mexico',\n",
              "  'Moldova',\n",
              "  'Monaco',\n",
              "  'Mongolia',\n",
              "  'Montenegro',\n",
              "  'Montserrat',\n",
              "  'Morocco',\n",
              "  'Mozambique',\n",
              "  'Myanmar',\n",
              "  'Namibia',\n",
              "  'Nauru',\n",
              "  'Nepal',\n",
              "  'Netherlands',\n",
              "  'New Caledonia',\n",
              "  'New Zealand',\n",
              "  'Nicaragua',\n",
              "  'Niger',\n",
              "  'Nigeria',\n",
              "  'North Macedonia',\n",
              "  'Northern Cyprus',\n",
              "  'Northern Ireland',\n",
              "  'Norway',\n",
              "  'Oman',\n",
              "  'Pakistan',\n",
              "  'Palestine',\n",
              "  'Panama',\n",
              "  'Papua New Guinea',\n",
              "  'Paraguay',\n",
              "  'Peru',\n",
              "  'Philippines',\n",
              "  'Pitcairn',\n",
              "  'Poland',\n",
              "  'Portugal',\n",
              "  'Qatar',\n",
              "  'Romania',\n",
              "  'Russia',\n",
              "  'Rwanda',\n",
              "  'Saint Helena',\n",
              "  'Saint Kitts and Nevis',\n",
              "  'Saint Lucia',\n",
              "  'Saint Vincent and the Grenadines',\n",
              "  'Samoa',\n",
              "  'San Marino',\n",
              "  'Sao Tome and Principe',\n",
              "  'Saudi Arabia',\n",
              "  'Scotland',\n",
              "  'Senegal',\n",
              "  'Serbia',\n",
              "  'Seychelles',\n",
              "  'Sierra Leone',\n",
              "  'Singapore',\n",
              "  'Sint Maarten (Dutch part)',\n",
              "  'Slovakia',\n",
              "  'Slovenia',\n",
              "  'Solomon Islands',\n",
              "  'Somalia',\n",
              "  'South Africa',\n",
              "  'South Korea',\n",
              "  'South Sudan',\n",
              "  'Spain',\n",
              "  'Sri Lanka',\n",
              "  'Sudan',\n",
              "  'Suriname',\n",
              "  'Sweden',\n",
              "  'Switzerland',\n",
              "  'Syria',\n",
              "  'Taiwan',\n",
              "  'Tajikistan',\n",
              "  'Thailand',\n",
              "  'Timor',\n",
              "  'Togo',\n",
              "  'Tonga',\n",
              "  'Trinidad and Tobago',\n",
              "  'Tunisia',\n",
              "  'Turkey',\n",
              "  'Turkmenistan',\n",
              "  'Turks and Caicos Islands',\n",
              "  'Tuvalu',\n",
              "  'Uganda',\n",
              "  'Ukraine',\n",
              "  'United Arab Emirates',\n",
              "  'United Kingdom',\n",
              "  'United States',\n",
              "  'Uruguay',\n",
              "  'Uzbekistan',\n",
              "  'Venezuela',\n",
              "  'Vietnam',\n",
              "  'Wales',\n",
              "  'Wallis and Futuna',\n",
              "  'Yemen',\n",
              "  'Zambia',\n",
              "  'Zimbabwe'],\n",
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            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        },
        "id": "IjxSoWfO0rtR",
        "outputId": "5630aec6-b2e7-4e1a-cc1d-8bdb3d193e58"
      },
      "source": [
        "df_country_vacc = pd.DataFrame(country_vaccine).transpose()\n",
        "df_country_vacc.columns = ['Country_Name', 'Total_vaccinations']\n",
        "df_country_vacc"
      ],
      "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>Total_vaccinations</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>590454</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Albania</td>\n",
              "      <td>759043</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Algeria</td>\n",
              "      <td>75000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Andorra</td>\n",
              "      <td>32317</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Angola</td>\n",
              "      <td>859979</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>209</th>\n",
              "      <td>Wales</td>\n",
              "      <td>3.20922e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>210</th>\n",
              "      <td>Wallis and Futuna</td>\n",
              "      <td>8283</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>211</th>\n",
              "      <td>Yemen</td>\n",
              "      <td>18555</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>212</th>\n",
              "      <td>Zambia</td>\n",
              "      <td>146645</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>213</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>976796</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>214 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "          Country_Name Total_vaccinations\n",
              "0          Afghanistan             590454\n",
              "1              Albania             759043\n",
              "2              Algeria              75000\n",
              "3              Andorra              32317\n",
              "4               Angola             859979\n",
              "..                 ...                ...\n",
              "209              Wales        3.20922e+06\n",
              "210  Wallis and Futuna               8283\n",
              "211              Yemen              18555\n",
              "212             Zambia             146645\n",
              "213           Zimbabwe             976796\n",
              "\n",
              "[214 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 389
        },
        "id": "dqFGddf73Ony",
        "outputId": "c3e846f4-4950-4e4c-d84a-ea78216e3a54"
      },
      "source": [
        "figure(figsize = (40, 8))\n",
        "sns.barplot(df_country_vacc.Country_Name, df_country_vacc.Total_vaccinations)\n",
        "plt.xticks(rotation = 90)\n",
        "plt.show()"
      ],
      "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": "display_data",
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\n",
            "text/plain": [
              "<Figure size 2880x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hfTQK4mbBh3y"
      },
      "source": [
        "Task 3 : \"What country is vaccinated a larger percent from its population?\" done ✔️\n",
        "\n",
        "Answer : Gibraltar has vaccinated a larger percent from its population"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FQ1DjYxq3tHK",
        "outputId": "163c2f5c-1b08-4710-8357-5f1ff5f5c447"
      },
      "source": [
        "country_name = []\n",
        "vaccine_count_percentage = []\n",
        "country_vaccine_percentage = []\n",
        "\n",
        "for i in df_vacc.country.unique():\n",
        "  vacc_per = df_vacc.loc[df_vacc.country == i]['people_fully_vaccinated_per_hundred'].fillna(0)\n",
        "  array_vacc = np.array(vacc_per)\n",
        "  country_name.append(i)\n",
        "  vaccine_count_percentage.append(array_vacc[-1])\n",
        "\n",
        "country_vaccine_percentage.append(country_name)\n",
        "country_vaccine_percentage.append(vaccine_count_percentage)\n",
        "country_vaccine_percentage"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['Afghanistan',\n",
              "  'Albania',\n",
              "  'Algeria',\n",
              "  'Andorra',\n",
              "  'Angola',\n",
              "  'Anguilla',\n",
              "  'Antigua and Barbuda',\n",
              "  'Argentina',\n",
              "  'Armenia',\n",
              "  'Aruba',\n",
              "  'Australia',\n",
              "  'Austria',\n",
              "  'Azerbaijan',\n",
              "  'Bahamas',\n",
              "  'Bahrain',\n",
              "  'Bangladesh',\n",
              "  'Barbados',\n",
              "  'Belarus',\n",
              "  'Belgium',\n",
              "  'Belize',\n",
              "  'Benin',\n",
              "  'Bermuda',\n",
              "  'Bhutan',\n",
              "  'Bolivia',\n",
              "  'Bonaire Sint Eustatius and Saba',\n",
              "  'Bosnia and Herzegovina',\n",
              "  'Botswana',\n",
              "  'Brazil',\n",
              "  'British Virgin Islands',\n",
              "  'Brunei',\n",
              "  'Bulgaria',\n",
              "  'Cambodia',\n",
              "  'Cameroon',\n",
              "  'Canada',\n",
              "  'Cape Verde',\n",
              "  'Cayman Islands',\n",
              "  'Central African Republic',\n",
              "  'Chile',\n",
              "  'China',\n",
              "  'Colombia',\n",
              "  'Comoros',\n",
              "  'Congo',\n",
              "  'Cook Islands',\n",
              "  'Costa Rica',\n",
              "  \"Cote d'Ivoire\",\n",
              "  'Croatia',\n",
              "  'Cuba',\n",
              "  'Curacao',\n",
              "  'Cyprus',\n",
              "  'Czechia',\n",
              "  'Democratic Republic of Congo',\n",
              "  'Denmark',\n",
              "  'Djibouti',\n",
              "  'Dominica',\n",
              "  'Dominican Republic',\n",
              "  'Ecuador',\n",
              "  'Egypt',\n",
              "  'El Salvador',\n",
              "  'England',\n",
              "  'Equatorial Guinea',\n",
              "  'Estonia',\n",
              "  'Eswatini',\n",
              "  'Ethiopia',\n",
              "  'Faeroe Islands',\n",
              "  'Falkland Islands',\n",
              "  'Fiji',\n",
              "  'Finland',\n",
              "  'France',\n",
              "  'French Polynesia',\n",
              "  'Gabon',\n",
              "  'Gambia',\n",
              "  'Georgia',\n",
              "  'Germany',\n",
              "  'Ghana',\n",
              "  'Gibraltar',\n",
              "  'Greece',\n",
              "  'Greenland',\n",
              "  'Grenada',\n",
              "  'Guatemala',\n",
              "  'Guernsey',\n",
              "  'Guinea',\n",
              "  'Guinea-Bissau',\n",
              "  'Guyana',\n",
              "  'Honduras',\n",
              "  'Hong Kong',\n",
              "  'Hungary',\n",
              "  'Iceland',\n",
              "  'India',\n",
              "  'Indonesia',\n",
              "  'Iran',\n",
              "  'Iraq',\n",
              "  'Ireland',\n",
              "  'Isle of Man',\n",
              "  'Israel',\n",
              "  'Italy',\n",
              "  'Jamaica',\n",
              "  'Japan',\n",
              "  'Jersey',\n",
              "  'Jordan',\n",
              "  'Kazakhstan',\n",
              "  'Kenya',\n",
              "  'Kosovo',\n",
              "  'Kuwait',\n",
              "  'Kyrgyzstan',\n",
              "  'Laos',\n",
              "  'Latvia',\n",
              "  'Lebanon',\n",
              "  'Lesotho',\n",
              "  'Liberia',\n",
              "  'Libya',\n",
              "  'Liechtenstein',\n",
              "  'Lithuania',\n",
              "  'Luxembourg',\n",
              "  'Macao',\n",
              "  'Madagascar',\n",
              "  'Malawi',\n",
              "  'Malaysia',\n",
              "  'Maldives',\n",
              "  'Mali',\n",
              "  'Malta',\n",
              "  'Mauritania',\n",
              "  'Mauritius',\n",
              "  'Mexico',\n",
              "  'Moldova',\n",
              "  'Monaco',\n",
              "  'Mongolia',\n",
              "  'Montenegro',\n",
              "  'Montserrat',\n",
              "  'Morocco',\n",
              "  'Mozambique',\n",
              "  'Myanmar',\n",
              "  'Namibia',\n",
              "  'Nauru',\n",
              "  'Nepal',\n",
              "  'Netherlands',\n",
              "  'New Caledonia',\n",
              "  'New Zealand',\n",
              "  'Nicaragua',\n",
              "  'Niger',\n",
              "  'Nigeria',\n",
              "  'North Macedonia',\n",
              "  'Northern Cyprus',\n",
              "  'Northern Ireland',\n",
              "  'Norway',\n",
              "  'Oman',\n",
              "  'Pakistan',\n",
              "  'Palestine',\n",
              "  'Panama',\n",
              "  'Papua New Guinea',\n",
              "  'Paraguay',\n",
              "  'Peru',\n",
              "  'Philippines',\n",
              "  'Pitcairn',\n",
              "  'Poland',\n",
              "  'Portugal',\n",
              "  'Qatar',\n",
              "  'Romania',\n",
              "  'Russia',\n",
              "  'Rwanda',\n",
              "  'Saint Helena',\n",
              "  'Saint Kitts and Nevis',\n",
              "  'Saint Lucia',\n",
              "  'Saint Vincent and the Grenadines',\n",
              "  'Samoa',\n",
              "  'San Marino',\n",
              "  'Sao Tome and Principe',\n",
              "  'Saudi Arabia',\n",
              "  'Scotland',\n",
              "  'Senegal',\n",
              "  'Serbia',\n",
              "  'Seychelles',\n",
              "  'Sierra Leone',\n",
              "  'Singapore',\n",
              "  'Sint Maarten (Dutch part)',\n",
              "  'Slovakia',\n",
              "  'Slovenia',\n",
              "  'Solomon Islands',\n",
              "  'Somalia',\n",
              "  'South Africa',\n",
              "  'South Korea',\n",
              "  'South Sudan',\n",
              "  'Spain',\n",
              "  'Sri Lanka',\n",
              "  'Sudan',\n",
              "  'Suriname',\n",
              "  'Sweden',\n",
              "  'Switzerland',\n",
              "  'Syria',\n",
              "  'Taiwan',\n",
              "  'Tajikistan',\n",
              "  'Thailand',\n",
              "  'Timor',\n",
              "  'Togo',\n",
              "  'Tonga',\n",
              "  'Trinidad and Tobago',\n",
              "  'Tunisia',\n",
              "  'Turkey',\n",
              "  'Turkmenistan',\n",
              "  'Turks and Caicos Islands',\n",
              "  'Tuvalu',\n",
              "  'Uganda',\n",
              "  'Ukraine',\n",
              "  'United Arab Emirates',\n",
              "  'United Kingdom',\n",
              "  'United States',\n",
              "  'Uruguay',\n",
              "  'Uzbekistan',\n",
              "  'Venezuela',\n",
              "  'Vietnam',\n",
              "  'Wales',\n",
              "  'Wallis and Futuna',\n",
              "  'Yemen',\n",
              "  'Zambia',\n",
              "  'Zimbabwe'],\n",
              " [0.29,\n",
              "  9.63,\n",
              "  0.0,\n",
              "  6.09,\n",
              "  0.6,\n",
              "  29.49,\n",
              "  11.59,\n",
              "  5.74,\n",
              "  0.0,\n",
              "  47.21,\n",
              "  1.93,\n",
              "  16.12,\n",
              "  8.78,\n",
              "  1.53,\n",
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              "  0.03,\n",
              "  2.15]]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        },
        "id": "LCsUJ4fy5oCs",
        "outputId": "2350a218-122a-4a3c-bbf8-454d2a65319d"
      },
      "source": [
        "df_country_vacc_per = pd.DataFrame(country_vaccine_percentage).transpose()\n",
        "df_country_vacc_per.columns = ['Country_Name', 'Vaccine_percentage']\n",
        "df_country_vacc_per"
      ],
      "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>Vaccine_percentage</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>0.29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Albania</td>\n",
              "      <td>9.63</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Algeria</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Andorra</td>\n",
              "      <td>6.09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Angola</td>\n",
              "      <td>0.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>209</th>\n",
              "      <td>Wales</td>\n",
              "      <td>34.29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>210</th>\n",
              "      <td>Wallis and Futuna</td>\n",
              "      <td>34.95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>211</th>\n",
              "      <td>Yemen</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>212</th>\n",
              "      <td>Zambia</td>\n",
              "      <td>0.03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>213</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>2.15</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>214 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "          Country_Name Vaccine_percentage\n",
              "0          Afghanistan               0.29\n",
              "1              Albania               9.63\n",
              "2              Algeria                  0\n",
              "3              Andorra               6.09\n",
              "4               Angola                0.6\n",
              "..                 ...                ...\n",
              "209              Wales              34.29\n",
              "210  Wallis and Futuna              34.95\n",
              "211              Yemen                  0\n",
              "212             Zambia               0.03\n",
              "213           Zimbabwe               2.15\n",
              "\n",
              "[214 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 710
        },
        "id": "32lIeN65C4gm",
        "outputId": "b40e5e0a-26d5-4201-8e2a-8f8a4438d93f"
      },
      "source": [
        "figure(figsize = (40, 8))\n",
        "sns.barplot(df_country_vacc_per.Country_Name, df_country_vacc_per.Vaccine_percentage)\n",
        "plt.xticks(rotation = 90)\n",
        "plt.show()"
      ],
      "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": "display_data",
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\n",
            "text/plain": [
              "<Figure size 2880x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IIhyKzPRDDTN"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}