forecast_COVID_19_Vaccines_ARIMA.ipynb

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        "!pip install python-utils\n",
        "!pip install plotly==4.1.0\n",
        "!pip install -U scikit-learn"
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            "Installing collected packages: graphviz, mxnet, pydantic, gluonts\n",
            "  Found existing installation: graphviz 0.10.1\n",
            "    Uninstalling graphviz-0.10.1:\n",
            "      Successfully uninstalled graphviz-0.10.1\n",
            "Successfully installed gluonts-0.7.5 graphviz-0.8.4 mxnet-1.8.0.post0 pydantic-1.8.2\n",
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            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/63/2b/4ca10995bfbdefd65c4238f9a2d3fde33705d18dd50914dd13302ec1daf1/plotly-4.1.0-py2.py3-none-any.whl (7.1MB)\n",
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            "\u001b[31mERROR: cufflinks 0.17.3 has requirement plotly>=4.1.1, but you'll have plotly 4.1.0 which is incompatible.\u001b[0m\n",
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        "id": "R66IV-4sC1T5",
        "outputId": "5674996b-2aef-4a12-ef39-205a600aca8b"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
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          "status": "completed"
        },
        "tags": [],
        "id": "deW4WpiuCg6f"
      },
      "source": [
        "import pandas as pd \n",
        "import numpy as np\n",
        "import plotly.express as px\n",
        "import plotly.graph_objects as go\n",
        "import seaborn as sns \n",
        "import folium\n",
        "import matplotlib.pyplot as plt\n",
        "import math\n",
        "import scipy\n",
        "import statsmodels as sms\n",
        "from plotly.subplots import make_subplots\n",
        "from sklearn.preprocessing import MinMaxScaler \n",
        "from keras.models import Sequential\n",
        "from keras.layers import Dense\n",
        "from keras.layers import LSTM\n",
        "from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n",
        "from statsmodels.tsa.stattools import adfuller\n",
        "from statsmodels.tsa.arima.model import ARIMA\n",
        "from sklearn.metrics import mean_squared_error, r2_score, median_absolute_error\n",
        "from sklearn.metrics import mean_absolute_percentage_error\n",
        "\n",
        "import warnings\n",
        "from sklearn.model_selection import train_test_split\n",
        "import datetime\n",
        "warnings.filterwarnings(\"ignore\")\n",
        "np.random.seed(32)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "_kg_hide-input": true,
        "execution": {
          "iopub.execute_input": "2021-03-12T21:50:35.192673Z",
          "iopub.status.busy": "2021-03-12T21:50:35.187206Z",
          "iopub.status.idle": "2021-03-12T21:50:35.201112Z",
          "shell.execute_reply": "2021-03-12T21:50:35.200399Z"
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          "status": "completed"
        },
        "tags": [],
        "id": "2Cknc00bCg6o",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "5ba7f0f1-c58f-4f63-af5a-fc274a1f6e32"
      },
      "source": [
        "data = pd.read_csv('/content/drive/MyDrive/dataset/country_vaccinations.csv')\n",
        "data.tail(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>2.92</td>\n",
              "      <td>2.49</td>\n",
              "      <td>0.43</td>\n",
              "      <td>1047.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1390390738...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15657</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-04-28</td>\n",
              "      <td>458013.0</td>\n",
              "      <td>388021.0</td>\n",
              "      <td>69992.0</td>\n",
              "      <td>24074.0</td>\n",
              "      <td>17860.0</td>\n",
              "      <td>3.08</td>\n",
              "      <td>2.61</td>\n",
              "      <td>0.47</td>\n",
              "      <td>1202.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1390390738...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15658</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-04-29</td>\n",
              "      <td>477597.0</td>\n",
              "      <td>400771.0</td>\n",
              "      <td>76826.0</td>\n",
              "      <td>19584.0</td>\n",
              "      <td>17971.0</td>\n",
              "      <td>3.21</td>\n",
              "      <td>2.70</td>\n",
              "      <td>0.52</td>\n",
              "      <td>1209.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1390390738...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15659</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-04-30</td>\n",
              "      <td>500342.0</td>\n",
              "      <td>414735.0</td>\n",
              "      <td>85607.0</td>\n",
              "      <td>22745.0</td>\n",
              "      <td>19194.0</td>\n",
              "      <td>3.37</td>\n",
              "      <td>2.79</td>\n",
              "      <td>0.58</td>\n",
              "      <td>1291.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1390390738...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15660</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-01</td>\n",
              "      <td>520299.0</td>\n",
              "      <td>428135.0</td>\n",
              "      <td>92164.0</td>\n",
              "      <td>19957.0</td>\n",
              "      <td>21171.0</td>\n",
              "      <td>3.50</td>\n",
              "      <td>2.88</td>\n",
              "      <td>0.62</td>\n",
              "      <td>1424.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1390390738...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15661</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-02</td>\n",
              "      <td>524199.0</td>\n",
              "      <td>430068.0</td>\n",
              "      <td>94131.0</td>\n",
              "      <td>3900.0</td>\n",
              "      <td>19169.0</td>\n",
              "      <td>3.53</td>\n",
              "      <td>2.89</td>\n",
              "      <td>0.63</td>\n",
              "      <td>1290.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1390390738...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15662</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-03</td>\n",
              "      <td>537516.0</td>\n",
              "      <td>437751.0</td>\n",
              "      <td>99765.0</td>\n",
              "      <td>13317.0</td>\n",
              "      <td>17987.0</td>\n",
              "      <td>3.62</td>\n",
              "      <td>2.95</td>\n",
              "      <td>0.67</td>\n",
              "      <td>1210.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1390390738...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15663</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-04</td>\n",
              "      <td>559777.0</td>\n",
              "      <td>452191.0</td>\n",
              "      <td>107586.0</td>\n",
              "      <td>22261.0</td>\n",
              "      <td>17977.0</td>\n",
              "      <td>3.77</td>\n",
              "      <td>3.04</td>\n",
              "      <td>0.72</td>\n",
              "      <td>1210.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1390390738...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15664</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-05</td>\n",
              "      <td>576233.0</td>\n",
              "      <td>461023.0</td>\n",
              "      <td>115210.0</td>\n",
              "      <td>16456.0</td>\n",
              "      <td>16889.0</td>\n",
              "      <td>3.88</td>\n",
              "      <td>3.10</td>\n",
              "      <td>0.78</td>\n",
              "      <td>1136.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1390390738...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15665</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>2021-05-06</td>\n",
              "      <td>607355.0</td>\n",
              "      <td>478174.0</td>\n",
              "      <td>129181.0</td>\n",
              "      <td>31122.0</td>\n",
              "      <td>18537.0</td>\n",
              "      <td>4.09</td>\n",
              "      <td>3.22</td>\n",
              "      <td>0.87</td>\n",
              "      <td>1247.0</td>\n",
              "      <td>Sinopharm/Beijing</td>\n",
              "      <td>Ministry of Health</td>\n",
              "      <td>https://twitter.com/MoHCCZim/status/1390390738...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        country  ...                                     source_website\n",
              "15656  Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1390390738...\n",
              "15657  Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1390390738...\n",
              "15658  Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1390390738...\n",
              "15659  Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1390390738...\n",
              "15660  Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1390390738...\n",
              "15661  Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1390390738...\n",
              "15662  Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1390390738...\n",
              "15663  Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1390390738...\n",
              "15664  Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1390390738...\n",
              "15665  Zimbabwe  ...  https://twitter.com/MoHCCZim/status/1390390738...\n",
              "\n",
              "[10 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kxjEvaX3TevI",
        "outputId": "62e246e3-69af-4176-c5e2-b45ea4e8d2ed"
      },
      "source": [
        "data.info()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 15666 entries, 0 to 15665\n",
            "Data columns (total 15 columns):\n",
            " #   Column                               Non-Null Count  Dtype  \n",
            "---  ------                               --------------  -----  \n",
            " 0   country                              15666 non-null  object \n",
            " 1   iso_code                             15666 non-null  object \n",
            " 2   date                                 15666 non-null  object \n",
            " 3   total_vaccinations                   9437 non-null   float64\n",
            " 4   people_vaccinated                    8754 non-null   float64\n",
            " 5   people_fully_vaccinated              6502 non-null   float64\n",
            " 6   daily_vaccinations_raw               7928 non-null   float64\n",
            " 7   daily_vaccinations                   15465 non-null  float64\n",
            " 8   total_vaccinations_per_hundred       9437 non-null   float64\n",
            " 9   people_vaccinated_per_hundred        8754 non-null   float64\n",
            " 10  people_fully_vaccinated_per_hundred  6502 non-null   float64\n",
            " 11  daily_vaccinations_per_million       15465 non-null  float64\n",
            " 12  vaccines                             15666 non-null  object \n",
            " 13  source_name                          15666 non-null  object \n",
            " 14  source_website                       15666 non-null  object \n",
            "dtypes: float64(9), object(6)\n",
            "memory usage: 1.8+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DRcffBmcDvBT"
      },
      "source": [
        "data[\"date\"] = pd.to_datetime(data[\"date\"], format = '%Y-%m-%d')\n",
        "data = data.replace([np.inf, -np.inf], np.nan)\n",
        "data = data.fillna(0)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VWkT0DOxG55z",
        "outputId": "3b55bac6-9f61-4221-d118-24618c8fd555"
      },
      "source": [
        "data.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',\n",
              "       'Bermuda', 'Bhutan', 'Bolivia', 'Bosnia and Herzegovina',\n",
              "       'Botswana', 'Brazil', 'Brunei', 'Bulgaria', 'Cambodia', 'Cameroon',\n",
              "       'Canada', 'Cape Verde', 'Cayman Islands', 'Chile', 'China',\n",
              "       'Colombia', 'Comoros', 'Congo', 'Costa Rica', \"Cote d'Ivoire\",\n",
              "       'Croatia', '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",
              "       'Gabon', 'Gambia', 'Georgia', 'Germany', 'Ghana', 'Gibraltar',\n",
              "       'Greece', 'Greenland', 'Grenada', 'Guatemala', 'Guernsey',\n",
              "       'Guinea', 'Guyana', 'Honduras', 'Hong Kong', 'Hungary', 'Iceland',\n",
              "       'India', 'Indonesia', 'Iran', 'Iraq', 'Ireland', 'Isle of Man',\n",
              "       'Israel', 'Italy', 'Jamaica', 'Japan', 'Jersey', 'Jordan',\n",
              "       'Kazakhstan', 'Kenya', 'Kosovo', 'Kuwait', 'Kyrgyzstan', 'Laos',\n",
              "       'Latvia', 'Lebanon', 'Lesotho', 'Libya', 'Liechtenstein',\n",
              "       'Lithuania', 'Luxembourg', 'Macao', 'Malawi', 'Malaysia',\n",
              "       'Maldives', 'Mali', 'Malta', 'Mauritania', 'Mauritius', 'Mexico',\n",
              "       'Moldova', 'Monaco', 'Mongolia', 'Montenegro', 'Montserrat',\n",
              "       'Morocco', 'Mozambique', 'Myanmar', 'Namibia', 'Nauru', 'Nepal',\n",
              "       'Netherlands', 'New Zealand', 'Nicaragua', 'Niger', 'Nigeria',\n",
              "       'North Macedonia', 'Northern Cyprus', 'Northern Ireland', 'Norway',\n",
              "       'Oman', 'Pakistan', 'Palestine', 'Panama', 'Papua New Guinea',\n",
              "       'Paraguay', 'Peru', 'Philippines', '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', 'Slovakia',\n",
              "       'Slovenia', 'Solomon Islands', 'Somalia', 'South Africa',\n",
              "       'South Korea', 'South Sudan', 'Spain', 'Sri Lanka', 'Sudan',\n",
              "       'Suriname', 'Sweden', 'Switzerland', 'Syria', 'Taiwan', 'Thailand',\n",
              "       'Timor', 'Togo', 'Tonga', 'Trinidad and Tobago', 'Tunisia',\n",
              "       'Turkey', 'Turks and Caicos Islands', 'Uganda', 'Ukraine',\n",
              "       'United Arab Emirates', 'United Kingdom', 'United States',\n",
              "       'Uruguay', 'Uzbekistan', 'Venezuela', 'Vietnam', 'Wales', 'Zambia',\n",
              "       'Zimbabwe'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N9KKG6NNG_Dy",
        "outputId": "bd999c15-d591-42be-8561-97e92ad20a79"
      },
      "source": [
        "data.vaccines.unique()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Oxford/AstraZeneca',\n",
              "       'Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac, Sputnik V',\n",
              "       'Sputnik V', 'Oxford/AstraZeneca, Pfizer/BioNTech',\n",
              "       'Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V',\n",
              "       'Pfizer/BioNTech',\n",
              "       'Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech',\n",
              "       'Oxford/AstraZeneca, Sinovac',\n",
              "       'Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V',\n",
              "       'Moderna, Oxford/AstraZeneca, Pfizer/BioNTech',\n",
              "       'Oxford/AstraZeneca, Sinopharm/Beijing, Sinovac',\n",
              "       'Sinopharm/Beijing', 'Pfizer/BioNTech, Sinovac',\n",
              "       'Sinopharm/Beijing, Sinopharm/Wuhan, Sinovac',\n",
              "       'Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac',\n",
              "       'Sinopharm/Beijing, Sputnik V', 'Moderna, Pfizer/BioNTech',\n",
              "       'Oxford/AstraZeneca, Sinopharm/Beijing',\n",
              "       'Moderna, Oxford/AstraZeneca',\n",
              "       'Moderna, Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V',\n",
              "       'Covaxin, Oxford/AstraZeneca',\n",
              "       'Pfizer/BioNTech, Sinopharm/Beijing',\n",
              "       'Oxford/AstraZeneca, Sputnik V',\n",
              "       'Oxford/AstraZeneca, Sinovac, Sputnik V',\n",
              "       'Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing',\n",
              "       'CanSino, Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac, Sputnik V',\n",
              "       'Oxford/AstraZeneca, Pfizer/BioNTech, Sputnik V',\n",
              "       'CanSino, Sinopharm/Beijing, Sinovac, Sputnik V',\n",
              "       'EpiVacCorona, Sputnik V', 'Pfizer/BioNTech, Sputnik V',\n",
              "       'Johnson&Johnson', 'Pfizer/BioNTech, Sinovac, Sputnik V',\n",
              "       'Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sinopharm/Wuhan, Sputnik V',\n",
              "       'Johnson&Johnson, Moderna, Pfizer/BioNTech'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 738
        },
        "id": "e-hpS0jFHDTr",
        "outputId": "d68567df-2d43-4686-8abb-b8018b122554"
      },
      "source": [
        "columns = ['country', 'date', 'total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','people_fully_vaccinated_per_hundred','vaccines','iso_code']\n",
        "latest_data = data[columns].groupby('country', as_index = True).max().sort_values(by='total_vaccinations', ascending = False)\n",
        "latest_data.head(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>total_vaccinations</th>\n",
              "      <th>people_vaccinated</th>\n",
              "      <th>people_fully_vaccinated</th>\n",
              "      <th>people_fully_vaccinated_per_hundred</th>\n",
              "      <th>vaccines</th>\n",
              "      <th>iso_code</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>country</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>China</th>\n",
              "      <td>2021-05-06</td>\n",
              "      <td>297734000.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>Sinopharm/Beijing, Sinopharm/Wuhan, Sinovac</td>\n",
              "      <td>CHN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>United States</th>\n",
              "      <td>2021-05-06</td>\n",
              "      <td>251973752.0</td>\n",
              "      <td>149462265.0</td>\n",
              "      <td>108926627.0</td>\n",
              "      <td>32.57</td>\n",
              "      <td>Johnson&amp;Johnson, Moderna, Pfizer/BioNTech</td>\n",
              "      <td>USA</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>India</th>\n",
              "      <td>2021-05-06</td>\n",
              "      <td>162603603.0</td>\n",
              "      <td>131058890.0</td>\n",
              "      <td>31544713.0</td>\n",
              "      <td>2.29</td>\n",
              "      <td>Covaxin, Oxford/AstraZeneca</td>\n",
              "      <td>IND</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>United Kingdom</th>\n",
              "      <td>2021-05-05</td>\n",
              "      <td>51225890.0</td>\n",
              "      <td>34934171.0</td>\n",
              "      <td>16291719.0</td>\n",
              "      <td>24.00</td>\n",
              "      <td>Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "      <td>GBR</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Brazil</th>\n",
              "      <td>2021-05-06</td>\n",
              "      <td>46542392.0</td>\n",
              "      <td>31504414.0</td>\n",
              "      <td>15037978.0</td>\n",
              "      <td>7.07</td>\n",
              "      <td>Oxford/AstraZeneca, Sinovac</td>\n",
              "      <td>BRA</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>England</th>\n",
              "      <td>2021-05-05</td>\n",
              "      <td>42864836.0</td>\n",
              "      <td>29232101.0</td>\n",
              "      <td>13632735.0</td>\n",
              "      <td>24.22</td>\n",
              "      <td>Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "      <td>OWID_ENG</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Germany</th>\n",
              "      <td>2021-05-06</td>\n",
              "      <td>33565445.0</td>\n",
              "      <td>26220901.0</td>\n",
              "      <td>7360108.0</td>\n",
              "      <td>8.78</td>\n",
              "      <td>Johnson&amp;Johnson, Moderna, Oxford/AstraZeneca, ...</td>\n",
              "      <td>DEU</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Turkey</th>\n",
              "      <td>2021-05-06</td>\n",
              "      <td>24467719.0</td>\n",
              "      <td>14391595.0</td>\n",
              "      <td>10076124.0</td>\n",
              "      <td>11.95</td>\n",
              "      <td>Pfizer/BioNTech, Sinovac</td>\n",
              "      <td>TUR</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>France</th>\n",
              "      <td>2021-05-05</td>\n",
              "      <td>23949989.0</td>\n",
              "      <td>16791193.0</td>\n",
              "      <td>7238601.0</td>\n",
              "      <td>10.62</td>\n",
              "      <td>Johnson&amp;Johnson, Moderna, Oxford/AstraZeneca, ...</td>\n",
              "      <td>FRA</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Italy</th>\n",
              "      <td>2021-05-06</td>\n",
              "      <td>22644364.0</td>\n",
              "      <td>15898833.0</td>\n",
              "      <td>6877239.0</td>\n",
              "      <td>11.37</td>\n",
              "      <td>Johnson&amp;Johnson, Moderna, Oxford/AstraZeneca, ...</td>\n",
              "      <td>ITA</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                     date  ...  iso_code\n",
              "country                    ...          \n",
              "China          2021-05-06  ...       CHN\n",
              "United States  2021-05-06  ...       USA\n",
              "India          2021-05-06  ...       IND\n",
              "United Kingdom 2021-05-05  ...       GBR\n",
              "Brazil         2021-05-06  ...       BRA\n",
              "England        2021-05-05  ...  OWID_ENG\n",
              "Germany        2021-05-06  ...       DEU\n",
              "Turkey         2021-05-06  ...       TUR\n",
              "France         2021-05-05  ...       FRA\n",
              "Italy          2021-05-06  ...       ITA\n",
              "\n",
              "[10 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "59gUot9sHWTi"
      },
      "source": [
        "total_vaccines = pd.DataFrame()\n",
        "vaccines = data.groupby('vaccines')\n",
        "for col, group in vaccines:\n",
        "    total_vaccines.loc[col,\"total_vaccinations\"] = group[\"daily_vaccinations\"].sum()\n",
        "total_vaccines = total_vaccines.sort_values(by='total_vaccinations', ascending = False)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MxJjhm75HdbD"
      },
      "source": [
        "def show_values_on_bars(axs, h_v=\"v\", space=0.7):\n",
        "    def _show_on_single_plot(ax):\n",
        "        if h_v == \"v\":\n",
        "            for p in ax.patches:\n",
        "                _x = p.get_x() + p.get_width() / 2\n",
        "                _y = p.get_y() + p.get_height()\n",
        "                value = '{:.0f}%'.format(int(p.get_height()))\n",
        "                ax.text(_x, _y, value, ha=\"center\") \n",
        "        elif h_v == \"h\":\n",
        "            for p in ax.patches:\n",
        "                _x = p.get_x() + p.get_width() + float(space)\n",
        "                _y = p.get_y() + p.get_height() / 2\n",
        "                value = '{:.1f}m'.format(int(p.get_width()) / 1000000)\n",
        "                ax.text(_x, _y, value, ha=\"left\")\n",
        "\n",
        "    if isinstance(axs, np.ndarray):\n",
        "        for idx, ax in np.ndenumerate(axs):\n",
        "            _show_on_single_plot(ax)\n",
        "    else:\n",
        "        _show_on_single_plot(axs)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        },
        "id": "6DfjEW3kHgjj",
        "outputId": "59c40c5c-df15-42ef-c80a-440937861605"
      },
      "source": [
        "sns.set_style('darkgrid')\n",
        "ax = sns.barplot(x = total_vaccines.iloc[:7,:]['total_vaccinations'] , y =total_vaccines.iloc[:7,:].index, palette=\"rocket\")\n",
        "ax.set_xlabel('Millions of vaccinations')\n",
        "ax.set_ylabel('Vaccine type')\n",
        "ax.set_title('Most popular vaccines')\n",
        "plt.xticks(ticks = [0,10000000,20000000,30000000,40000000,50000000,60000000,70000000,80000000,90000000,100000000],labels= [0,10,20,30,40,50,60,70,80,90,100])\n",
        "show_values_on_bars(ax,h_v = 'h', space = 0.7)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        },
        "id": "I0KOJa53HmOT",
        "outputId": "4ea6b9db-56f4-458c-e68b-1ff508bd0434"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Pfizer/BioNTech'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "        }</style><table id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Japan</th>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >4197463.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >3091529.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >1105934.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Slovakia</th>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row1_col1\" class=\"data row1 col1\" >1740460.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row1_col2\" class=\"data row1 col2\" >1176143.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row1_col3\" class=\"data row1 col3\" >564317.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row1_col4\" class=\"data row1 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Qatar</th>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row2_col0\" class=\"data row2 col0\" >Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row2_col1\" class=\"data row2 col1\" >1732471.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row2_col2\" class=\"data row2 col2\" >1080415.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row2_col3\" class=\"data row2 col3\" >652056.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row2_col4\" class=\"data row2 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >Kuwait</th>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row3_col0\" class=\"data row3 col0\" >Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row3_col1\" class=\"data row3 col1\" >1440000.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row3_col2\" class=\"data row3 col2\" >822000.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row3_col3\" class=\"data row3 col3\" >38000.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row3_col4\" class=\"data row3 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >New Zealand</th>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row4_col0\" class=\"data row4 col0\" >Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row4_col1\" class=\"data row4 col1\" >304900.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row4_col2\" class=\"data row4 col2\" >217603.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row4_col3\" class=\"data row4 col3\" >87297.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row4_col4\" class=\"data row4 col4\" >2021-05-04 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >Cyprus</th>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row5_col0\" class=\"data row5 col0\" >Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row5_col1\" class=\"data row5 col1\" >287816.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row5_col2\" class=\"data row5 col2\" >218323.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row5_col3\" class=\"data row5 col3\" >69463.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row5_col4\" class=\"data row5 col4\" >2021-05-01 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >Aruba</th>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row6_col0\" class=\"data row6 col0\" >Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row6_col1\" class=\"data row6 col1\" >79553.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row6_col2\" class=\"data row6 col2\" >55371.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row6_col3\" class=\"data row6 col3\" >24182.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row6_col4\" class=\"data row6 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >Gibraltar</th>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row7_col0\" class=\"data row7 col0\" >Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row7_col1\" class=\"data row7 col1\" >72674.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row7_col2\" class=\"data row7 col2\" >37988.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row7_col3\" class=\"data row7 col3\" >34686.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row7_col4\" class=\"data row7 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >Bermuda</th>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row8_col0\" class=\"data row8 col0\" >Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row8_col1\" class=\"data row8 col1\" >55904.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row8_col2\" class=\"data row8 col2\" >32129.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row8_col3\" class=\"data row8 col3\" >23775.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row8_col4\" class=\"data row8 col4\" >2021-04-26 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >Turks and Caicos Islands</th>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row9_col0\" class=\"data row9 col0\" >Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row9_col1\" class=\"data row9 col1\" >25039.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row9_col2\" class=\"data row9 col2\" >15039.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row9_col3\" class=\"data row9 col3\" >10000.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row9_col4\" class=\"data row9 col4\" >2021-04-11 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >Monaco</th>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row10_col0\" class=\"data row10 col0\" >Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row10_col1\" class=\"data row10 col1\" >24390.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row10_col2\" class=\"data row10 col2\" >12758.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row10_col3\" class=\"data row10 col3\" >11632.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row10_col4\" class=\"data row10 col4\" >2021-04-22 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >Greenland</th>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row11_col0\" class=\"data row11 col0\" >Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row11_col1\" class=\"data row11 col1\" >14177.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row11_col2\" class=\"data row11 col2\" >8900.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row11_col3\" class=\"data row11 col3\" >5277.000000</td>\n",
              "                        <td id=\"T_ccc93308_c9c7_11eb_b217_0242ac1c0002row11_col4\" class=\"data row11 col4\" >2021-05-04 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1acaa1d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 215
        },
        "id": "BJ71WfC7H0Q6",
        "outputId": "3629813d-c1eb-4660-dcb6-ad93dd63f951"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Sputnik V'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row0_col1,#T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row0_col2,#T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row0_col3{\n",
              "            background-color:  #08306b;\n",
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              "            background-color:  #e9f2fa;\n",
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              "            background-color:  #ebf3fb;\n",
              "            color:  #000000;\n",
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              "            background-color:  #e0ecf8;\n",
              "            color:  #000000;\n",
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              "            background-color:  #e7f0fa;\n",
              "            color:  #000000;\n",
              "        }#T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row4_col3{\n",
              "            background-color:  #f2f8fd;\n",
              "            color:  #000000;\n",
              "        }#T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row5_col1{\n",
              "            background-color:  #f0f6fd;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Kazakhstan</th>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Sputnik V</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >2025911.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >1565681.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >460230.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Belarus</th>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Sputnik V</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row1_col1\" class=\"data row1 col1\" >328500.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row1_col2\" class=\"data row1 col2\" >244000.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row1_col3\" class=\"data row1 col3\" >84500.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row1_col4\" class=\"data row1 col4\" >2021-04-23 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Venezuela</th>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row2_col0\" class=\"data row2 col0\" >Sputnik V</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row2_col1\" class=\"data row2 col1\" >250000.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row2_col2\" class=\"data row2 col2\" >250000.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row2_col3\" class=\"data row2 col3\" >0.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row2_col4\" class=\"data row2 col4\" >2021-04-12 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >Guinea</th>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row3_col0\" class=\"data row3 col0\" >Sputnik V</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row3_col1\" class=\"data row3 col1\" >150799.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row3_col2\" class=\"data row3 col2\" >97511.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row3_col3\" class=\"data row3 col3\" >53288.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row3_col4\" class=\"data row3 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >Paraguay</th>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row4_col0\" class=\"data row4 col0\" >Sputnik V</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row4_col1\" class=\"data row4 col1\" >143441.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row4_col2\" class=\"data row4 col2\" >131013.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row4_col3\" class=\"data row4 col3\" >12428.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row4_col4\" class=\"data row4 col4\" >2021-05-02 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >Algeria</th>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row5_col0\" class=\"data row5 col0\" >Sputnik V</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row5_col1\" class=\"data row5 col1\" >75000.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row5_col2\" class=\"data row5 col2\" >0.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row5_col3\" class=\"data row5 col3\" >0.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row5_col4\" class=\"data row5 col4\" >2021-02-19 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >Syria</th>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row6_col0\" class=\"data row6 col0\" >Sputnik V</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row6_col1\" class=\"data row6 col1\" >2500.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row6_col2\" class=\"data row6 col2\" >2500.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row6_col3\" class=\"data row6 col3\" >0.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row6_col4\" class=\"data row6 col4\" >2021-04-08 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >Armenia</th>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row7_col0\" class=\"data row7 col0\" >Sputnik V</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row7_col1\" class=\"data row7 col1\" >565.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row7_col2\" class=\"data row7 col2\" >565.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row7_col3\" class=\"data row7 col3\" >0.000000</td>\n",
              "                        <td id=\"T_ccd16c44_c9c7_11eb_b217_0242ac1c0002row7_col4\" class=\"data row7 col4\" >2021-03-31 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1ac9cd50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 354
        },
        "id": "AC_PEV-HH89K",
        "outputId": "2cf81b88-e456-4541-8067-917bb7a4fb8f"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Oxford/AstraZeneca'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "        }</style><table id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Bangladesh</th>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Oxford/AstraZeneca</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >9133278.000000</td>\n",
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              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >3313424.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Nigeria</th>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Oxford/AstraZeneca</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row1_col1\" class=\"data row1 col1\" >1266742.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row1_col2\" class=\"data row1 col2\" >1266742.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row1_col3\" class=\"data row1 col3\" >0.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row1_col4\" class=\"data row1 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Ethiopia</th>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row2_col0\" class=\"data row2 col0\" >Oxford/AstraZeneca</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row2_col1\" class=\"data row2 col1\" >1215934.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row2_col2\" class=\"data row2 col2\" >0.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row2_col3\" class=\"data row2 col3\" >0.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row2_col4\" class=\"data row2 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >Myanmar</th>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row3_col0\" class=\"data row3 col0\" >Oxford/AstraZeneca</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row3_col1\" class=\"data row3 col1\" >1040000.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row3_col2\" class=\"data row3 col2\" >1000000.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row3_col3\" class=\"data row3 col3\" >40000.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row3_col4\" class=\"data row3 col4\" >2021-03-31 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >Ghana</th>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row4_col0\" class=\"data row4 col0\" >Oxford/AstraZeneca</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row4_col1\" class=\"data row4 col1\" >849527.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row4_col2\" class=\"data row4 col2\" >849527.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row4_col3\" class=\"data row4 col3\" >0.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row4_col4\" class=\"data row4 col4\" >2021-04-30 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >Vietnam</th>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row5_col0\" class=\"data row5 col0\" >Oxford/AstraZeneca</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row5_col1\" class=\"data row5 col1\" >675956.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row5_col2\" class=\"data row5 col2\" >675956.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row5_col3\" class=\"data row5 col3\" >0.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row5_col4\" class=\"data row5 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >Uzbekistan</th>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row6_col0\" class=\"data row6 col0\" >Oxford/AstraZeneca</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row6_col1\" class=\"data row6 col1\" >600369.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row6_col2\" class=\"data row6 col2\" >600369.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row6_col3\" class=\"data row6 col3\" >0.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row6_col4\" class=\"data row6 col4\" >2021-04-27 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >Bhutan</th>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row7_col0\" class=\"data row7 col0\" >Oxford/AstraZeneca</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row7_col1\" class=\"data row7 col1\" >481107.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row7_col2\" class=\"data row7 col2\" >481107.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row7_col3\" class=\"data row7 col3\" >0.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row7_col4\" class=\"data row7 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >Angola</th>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row8_col0\" class=\"data row8 col0\" >Oxford/AstraZeneca</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row8_col1\" class=\"data row8 col1\" >456349.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row8_col2\" class=\"data row8 col2\" >456349.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row8_col3\" class=\"data row8 col3\" >0.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row8_col4\" class=\"data row8 col4\" >2021-04-23 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >Uganda</th>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row9_col0\" class=\"data row9 col0\" >Oxford/AstraZeneca</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row9_col1\" class=\"data row9 col1\" >375283.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row9_col2\" class=\"data row9 col2\" >375283.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row9_col3\" class=\"data row9 col3\" >0.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row9_col4\" class=\"data row9 col4\" >2021-05-04 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >Malawi</th>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row10_col0\" class=\"data row10 col0\" >Oxford/AstraZeneca</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row10_col1\" class=\"data row10 col1\" >311751.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row10_col2\" class=\"data row10 col2\" >311751.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row10_col3\" class=\"data row10 col3\" >0.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row10_col4\" class=\"data row10 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >Afghanistan</th>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row11_col0\" class=\"data row11 col0\" >Oxford/AstraZeneca</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row11_col1\" class=\"data row11 col1\" >240000.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row11_col2\" class=\"data row11 col2\" >240000.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row11_col3\" class=\"data row11 col3\" >0.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row11_col4\" class=\"data row11 col4\" >2021-04-22 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002level0_row12\" class=\"row_heading level0 row12\" >Cote d'Ivoire</th>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row12_col0\" class=\"data row12 col0\" >Oxford/AstraZeneca</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row12_col1\" class=\"data row12 col1\" >215010.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row12_col2\" class=\"data row12 col2\" >215010.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row12_col3\" class=\"data row12 col3\" >0.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row12_col4\" class=\"data row12 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002level0_row13\" class=\"row_heading level0 row13\" >Togo</th>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row13_col0\" class=\"data row13 col0\" >Oxford/AstraZeneca</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row13_col1\" class=\"data row13 col1\" >160000.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row13_col2\" class=\"data row13 col2\" >160000.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row13_col3\" class=\"data row13 col3\" >0.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row13_col4\" class=\"data row13 col4\" >2021-04-17 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002level0_row14\" class=\"row_heading level0 row14\" >Sudan</th>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row14_col0\" class=\"data row14 col0\" >Oxford/AstraZeneca</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row14_col1\" class=\"data row14 col1\" >140227.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row14_col2\" class=\"data row14 col2\" >140227.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row14_col3\" class=\"data row14 col3\" >0.000000</td>\n",
              "                        <td id=\"T_ccd72486_c9c7_11eb_b217_0242ac1c0002row14_col4\" class=\"data row14 col4\" >2021-04-23 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a78b9d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 604
        },
        "id": "FHtc6pGOIBgq",
        "outputId": "08f2ed81-8b06-413a-8f03-bda2a1f79a9a"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Moderna, Oxford/AstraZeneca, Pfizer/BioNTech'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "            color:  #000000;\n",
              "        }</style><table id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >United Kingdom</th>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >51225890.000000</td>\n",
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              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >England</th>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row1_col1\" class=\"data row1 col1\" >42864836.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row1_col2\" class=\"data row1 col2\" >29232101.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row1_col3\" class=\"data row1 col3\" >13632735.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row1_col4\" class=\"data row1 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Canada</th>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row2_col0\" class=\"data row2 col0\" >Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row2_col1\" class=\"data row2 col1\" >14924694.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row2_col2\" class=\"data row2 col2\" >13728528.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row2_col3\" class=\"data row2 col3\" >1196166.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row2_col4\" class=\"data row2 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >Scotland</th>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row3_col0\" class=\"data row3 col0\" >Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row3_col1\" class=\"data row3 col1\" >4260931.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row3_col2\" class=\"data row3 col2\" >2860635.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row3_col3\" class=\"data row3 col3\" >1400296.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row3_col4\" class=\"data row3 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >Portugal</th>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row4_col0\" class=\"data row4 col0\" >Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row4_col1\" class=\"data row4 col1\" >3675613.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row4_col2\" class=\"data row4 col2\" >2692633.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row4_col3\" class=\"data row4 col3\" >982958.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row4_col4\" class=\"data row4 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >Greece</th>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row5_col0\" class=\"data row5 col0\" >Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row5_col1\" class=\"data row5 col1\" >3424468.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row5_col2\" class=\"data row5 col2\" >2333921.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row5_col3\" class=\"data row5 col3\" >1090547.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row5_col4\" class=\"data row5 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >Wales</th>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row6_col0\" class=\"data row6 col0\" >Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row6_col1\" class=\"data row6 col1\" >2683297.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row6_col2\" class=\"data row6 col2\" >1884372.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row6_col3\" class=\"data row6 col3\" >798925.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row6_col4\" class=\"data row6 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >Denmark</th>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row7_col0\" class=\"data row7 col0\" >Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row7_col1\" class=\"data row7 col1\" >2155301.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row7_col2\" class=\"data row7 col2\" >1415117.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row7_col3\" class=\"data row7 col3\" >740184.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row7_col4\" class=\"data row7 col4\" >2021-05-04 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >Finland</th>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row8_col0\" class=\"data row8 col0\" >Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row8_col1\" class=\"data row8 col1\" >1990774.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row8_col2\" class=\"data row8 col2\" >1804953.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row8_col3\" class=\"data row8 col3\" >185821.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row8_col4\" class=\"data row8 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >Norway</th>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row9_col0\" class=\"data row9 col0\" >Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row9_col1\" class=\"data row9 col1\" >1847728.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row9_col2\" class=\"data row9 col2\" >1430384.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row9_col3\" class=\"data row9 col3\" >417344.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row9_col4\" class=\"data row9 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >Ireland</th>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row10_col0\" class=\"data row10 col0\" >Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row10_col1\" class=\"data row10 col1\" >1655866.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row10_col2\" class=\"data row10 col2\" >1201373.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row10_col3\" class=\"data row10 col3\" >454493.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row10_col4\" class=\"data row10 col4\" >2021-05-04 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >Northern Ireland</th>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row11_col0\" class=\"data row11 col0\" >Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row11_col1\" class=\"data row11 col1\" >1416826.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row11_col2\" class=\"data row11 col2\" >957063.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row11_col3\" class=\"data row11 col3\" >459763.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row11_col4\" class=\"data row11 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002level0_row12\" class=\"row_heading level0 row12\" >Croatia</th>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row12_col0\" class=\"data row12 col0\" >Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row12_col1\" class=\"data row12 col1\" >979181.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row12_col2\" class=\"data row12 col2\" >760805.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row12_col3\" class=\"data row12 col3\" >218376.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row12_col4\" class=\"data row12 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002level0_row13\" class=\"row_heading level0 row13\" >Bulgaria</th>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row13_col0\" class=\"data row13 col0\" >Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row13_col1\" class=\"data row13 col1\" >884254.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row13_col2\" class=\"data row13 col2\" >629749.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row13_col3\" class=\"data row13 col3\" >254505.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row13_col4\" class=\"data row13 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002level0_row14\" class=\"row_heading level0 row14\" >Estonia</th>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row14_col0\" class=\"data row14 col0\" >Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row14_col1\" class=\"data row14 col1\" >510125.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row14_col2\" class=\"data row14 col2\" >362865.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row14_col3\" class=\"data row14 col3\" >147260.000000</td>\n",
              "                        <td id=\"T_ccdeff8a_c9c7_11eb_b217_0242ac1c0002row14_col4\" class=\"data row14 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a78b5d0>"
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          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 96
        },
        "id": "Qsig97E3IJaJ",
        "outputId": "ba4ef079-b1fc-4b68-af58-374d50d30b70"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Oxford/AstraZeneca, Sputnik V'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_cce48bc6_c9c7_11eb_b217_0242ac1c0002row0_col1,#T_cce48bc6_c9c7_11eb_b217_0242ac1c0002row0_col2{\n",
              "            background-color:  #08306b;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_cce48bc6_c9c7_11eb_b217_0242ac1c0002row0_col3,#T_cce48bc6_c9c7_11eb_b217_0242ac1c0002row1_col1,#T_cce48bc6_c9c7_11eb_b217_0242ac1c0002row1_col2,#T_cce48bc6_c9c7_11eb_b217_0242ac1c0002row1_col3{\n",
              "            background-color:  #f7fbff;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_cce48bc6_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_cce48bc6_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Kenya</th>\n",
              "                        <td id=\"T_cce48bc6_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Oxford/AstraZeneca, Sputnik V</td>\n",
              "                        <td id=\"T_cce48bc6_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >853081.000000</td>\n",
              "                        <td id=\"T_cce48bc6_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >853081.000000</td>\n",
              "                        <td id=\"T_cce48bc6_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >0.000000</td>\n",
              "                        <td id=\"T_cce48bc6_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-04-28 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cce48bc6_c9c7_11eb_b217_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Nicaragua</th>\n",
              "                        <td id=\"T_cce48bc6_c9c7_11eb_b217_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Oxford/AstraZeneca, Sputnik V</td>\n",
              "                        <td id=\"T_cce48bc6_c9c7_11eb_b217_0242ac1c0002row1_col1\" class=\"data row1 col1\" >135130.000000</td>\n",
              "                        <td id=\"T_cce48bc6_c9c7_11eb_b217_0242ac1c0002row1_col2\" class=\"data row1 col2\" >135130.000000</td>\n",
              "                        <td id=\"T_cce48bc6_c9c7_11eb_b217_0242ac1c0002row1_col3\" class=\"data row1 col3\" >0.000000</td>\n",
              "                        <td id=\"T_cce48bc6_c9c7_11eb_b217_0242ac1c0002row1_col4\" class=\"data row1 col4\" >2021-04-24 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a7adb10>"
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          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 240
        },
        "id": "doiTjbpSIMRL",
        "outputId": "f31c828e-4716-4f55-a186-79ff470be532"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_ccea5646_c9c7_11eb_b217_0242ac1c0002row0_col1,#T_ccea5646_c9c7_11eb_b217_0242ac1c0002row0_col2,#T_ccea5646_c9c7_11eb_b217_0242ac1c0002row0_col3{\n",
              "            background-color:  #08306b;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_ccea5646_c9c7_11eb_b217_0242ac1c0002row1_col1{\n",
              "            background-color:  #68acd5;\n",
              "            color:  #000000;\n",
              "        }#T_ccea5646_c9c7_11eb_b217_0242ac1c0002row1_col2{\n",
              "            background-color:  #3e8ec4;\n",
              "            color:  #000000;\n",
              "        }#T_ccea5646_c9c7_11eb_b217_0242ac1c0002row1_col3,#T_ccea5646_c9c7_11eb_b217_0242ac1c0002row2_col2{\n",
              "            background-color:  #a6cee4;\n",
              "            color:  #000000;\n",
              "        }#T_ccea5646_c9c7_11eb_b217_0242ac1c0002row2_col1{\n",
              "            background-color:  #a9cfe5;\n",
              "            color:  #000000;\n",
              "        }#T_ccea5646_c9c7_11eb_b217_0242ac1c0002row2_col3{\n",
              "            background-color:  #abd0e6;\n",
              "            color:  #000000;\n",
              "        }#T_ccea5646_c9c7_11eb_b217_0242ac1c0002row3_col1{\n",
              "            background-color:  #e0ecf8;\n",
              "            color:  #000000;\n",
              "        }#T_ccea5646_c9c7_11eb_b217_0242ac1c0002row3_col2{\n",
              "            background-color:  #deebf7;\n",
              "            color:  #000000;\n",
              "        }#T_ccea5646_c9c7_11eb_b217_0242ac1c0002row3_col3{\n",
              "            background-color:  #e4eff9;\n",
              "            color:  #000000;\n",
              "        }#T_ccea5646_c9c7_11eb_b217_0242ac1c0002row4_col1,#T_ccea5646_c9c7_11eb_b217_0242ac1c0002row4_col2,#T_ccea5646_c9c7_11eb_b217_0242ac1c0002row4_col3{\n",
              "            background-color:  #f7fbff;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Serbia</th>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >3715103.000000</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >2088102.000000</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >1627001.000000</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Mongolia</th>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row1_col1\" class=\"data row1 col1\" >1946350.000000</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row1_col2\" class=\"data row1 col2\" >1356678.000000</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row1_col3\" class=\"data row1 col3\" >589672.000000</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row1_col4\" class=\"data row1 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Bahrain</th>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row2_col0\" class=\"data row2 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row2_col1\" class=\"data row2 col1\" >1334658.000000</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row2_col2\" class=\"data row2 col2\" >772205.000000</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row2_col3\" class=\"data row2 col3\" >562453.000000</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row2_col4\" class=\"data row2 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >Lebanon</th>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row3_col0\" class=\"data row3 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row3_col1\" class=\"data row3 col1\" >509705.000000</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row3_col2\" class=\"data row3 col2\" >325383.000000</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row3_col3\" class=\"data row3 col3\" >184322.000000</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row3_col4\" class=\"data row3 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >Montenegro</th>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row4_col0\" class=\"data row4 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row4_col1\" class=\"data row4 col1\" >94291.000000</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row4_col2\" class=\"data row4 col2\" >65390.000000</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row4_col3\" class=\"data row4 col3\" >28901.000000</td>\n",
              "                        <td id=\"T_ccea5646_c9c7_11eb_b217_0242ac1c0002row4_col4\" class=\"data row4 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a7b9650>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 156
        },
        "id": "LN4UFzy7IQQC",
        "outputId": "4f9a0988-4b0d-4a5a-fd46-974b110c4e98"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Oxford/AstraZeneca, Sinovac'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row0_col1,#T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row0_col2,#T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row0_col3{\n",
              "            background-color:  #08306b;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row1_col1{\n",
              "            background-color:  #84bcdb;\n",
              "            color:  #000000;\n",
              "        }#T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row1_col2{\n",
              "            background-color:  #97c6df;\n",
              "            color:  #000000;\n",
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              "            background-color:  #5ca4d0;\n",
              "            color:  #000000;\n",
              "        }#T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row2_col1{\n",
              "            background-color:  #f5f9fe;\n",
              "            color:  #000000;\n",
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              "            background-color:  #f2f8fd;\n",
              "            color:  #000000;\n",
              "        }#T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row2_col3,#T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row3_col1,#T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row4_col1,#T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row4_col2{\n",
              "            background-color:  #f7fbff;\n",
              "            color:  #000000;\n",
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              "            background-color:  #f6faff;\n",
              "            color:  #000000;\n",
              "        }#T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row4_col3{\n",
              "            background-color:  #f4f9fe;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Brazil</th>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Oxford/AstraZeneca, Sinovac</td>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >46542392.000000</td>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >31504414.000000</td>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >15037978.000000</td>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Indonesia</th>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Oxford/AstraZeneca, Sinovac</td>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row1_col1\" class=\"data row1 col1\" >21367754.000000</td>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row1_col2\" class=\"data row1 col2\" >13028699.000000</td>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row1_col3\" class=\"data row1 col3\" >8339055.000000</td>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row1_col4\" class=\"data row1 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Philippines</th>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row2_col0\" class=\"data row2 col0\" >Oxford/AstraZeneca, Sinovac</td>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row2_col1\" class=\"data row2 col1\" >2129185.000000</td>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row2_col2\" class=\"data row2 col2\" >1786480.000000</td>\n",
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              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row2_col4\" class=\"data row2 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >Thailand</th>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row3_col0\" class=\"data row3 col0\" >Oxford/AstraZeneca, Sinovac</td>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row3_col1\" class=\"data row3 col1\" >1651782.000000</td>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row3_col2\" class=\"data row3 col2\" >1201258.000000</td>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row3_col3\" class=\"data row3 col3\" >450524.000000</td>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row3_col4\" class=\"data row3 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >Azerbaijan</th>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row4_col0\" class=\"data row4 col0\" >Oxford/AstraZeneca, Sinovac</td>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row4_col1\" class=\"data row4 col1\" >1593883.000000</td>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row4_col2\" class=\"data row4 col2\" >992252.000000</td>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row4_col3\" class=\"data row4 col3\" >601631.000000</td>\n",
              "                        <td id=\"T_ccf0882c_c9c7_11eb_b217_0242ac1c0002row4_col4\" class=\"data row4 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a560dd0>"
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          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 215
        },
        "id": "7tEPMCpwIT9C",
        "outputId": "017bbbad-03c3-4a80-f696-bd2bb9754890"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Sinopharm/Beijing'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "        }</style><table id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Zimbabwe</th>\n",
              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Sinopharm/Beijing</td>\n",
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              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-06 00:00:00</td>\n",
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              "            <tr>\n",
              "                        <th id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Senegal</th>\n",
              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Sinopharm/Beijing</td>\n",
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              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row1_col4\" class=\"data row1 col4\" >2021-05-06 00:00:00</td>\n",
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              "            <tr>\n",
              "                        <th id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Equatorial Guinea</th>\n",
              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row2_col0\" class=\"data row2 col0\" >Sinopharm/Beijing</td>\n",
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              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row2_col4\" class=\"data row2 col4\" >2021-04-28 00:00:00</td>\n",
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              "            <tr>\n",
              "                        <th id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >Mozambique</th>\n",
              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row3_col0\" class=\"data row3 col0\" >Sinopharm/Beijing</td>\n",
              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row3_col1\" class=\"data row3 col1\" >57305.000000</td>\n",
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              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row3_col4\" class=\"data row3 col4\" >2021-03-23 00:00:00</td>\n",
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              "            <tr>\n",
              "                        <th id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >Cameroon</th>\n",
              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row4_col0\" class=\"data row4 col0\" >Sinopharm/Beijing</td>\n",
              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row4_col1\" class=\"data row4 col1\" >11000.000000</td>\n",
              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row4_col2\" class=\"data row4 col2\" >11000.000000</td>\n",
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              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row4_col4\" class=\"data row4 col4\" >2021-04-29 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >Gabon</th>\n",
              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row5_col0\" class=\"data row5 col0\" >Sinopharm/Beijing</td>\n",
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              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row5_col4\" class=\"data row5 col4\" >2021-04-23 00:00:00</td>\n",
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              "            <tr>\n",
              "                        <th id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >Mauritania</th>\n",
              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row6_col0\" class=\"data row6 col0\" >Sinopharm/Beijing</td>\n",
              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row6_col1\" class=\"data row6 col1\" >7038.000000</td>\n",
              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row6_col2\" class=\"data row6 col2\" >7038.000000</td>\n",
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              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row6_col4\" class=\"data row6 col4\" >2021-04-18 00:00:00</td>\n",
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              "            <tr>\n",
              "                        <th id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >Niger</th>\n",
              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row7_col0\" class=\"data row7 col0\" >Sinopharm/Beijing</td>\n",
              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row7_col1\" class=\"data row7 col1\" >1366.000000</td>\n",
              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row7_col2\" class=\"data row7 col2\" >1366.000000</td>\n",
              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row7_col3\" class=\"data row7 col3\" >0.000000</td>\n",
              "                        <td id=\"T_ccf61846_c9c7_11eb_b217_0242ac1c0002row7_col4\" class=\"data row7 col4\" >2021-04-17 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a7ad4d0>"
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          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 176
        },
        "id": "-STOuoe9IXe6",
        "outputId": "a006260e-90ee-4c06-e405-475ef57e3b96"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Moderna, Pfizer/BioNTech'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "            background-color:  #f5fafe;\n",
              "            color:  #000000;\n",
              "        }#T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row3_col2{\n",
              "            background-color:  #f5f9fe;\n",
              "            color:  #000000;\n",
              "        }#T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row3_col3{\n",
              "            background-color:  #f6faff;\n",
              "            color:  #000000;\n",
              "        }#T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row4_col1,#T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row4_col2,#T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row4_col3,#T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row5_col1,#T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row5_col2,#T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row5_col3{\n",
              "            background-color:  #f7fbff;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Israel</th>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Moderna, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >10489167.000000</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >5417346.000000</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >5071821.000000</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Switzerland</th>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Moderna, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row1_col1\" class=\"data row1 col1\" >2791978.000000</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row1_col2\" class=\"data row1 col2\" >1841984.000000</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row1_col3\" class=\"data row1 col3\" >949994.000000</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row1_col4\" class=\"data row1 col4\" >2021-05-02 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Singapore</th>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row2_col0\" class=\"data row2 col0\" >Moderna, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row2_col1\" class=\"data row2 col1\" >2213888.000000</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row2_col2\" class=\"data row2 col2\" >1364124.000000</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row2_col3\" class=\"data row2 col3\" >849764.000000</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row2_col4\" class=\"data row2 col4\" >2021-04-18 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >Curacao</th>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row3_col0\" class=\"data row3 col0\" >Moderna, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row3_col1\" class=\"data row3 col1\" >106971.000000</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row3_col2\" class=\"data row3 col2\" >76031.000000</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row3_col3\" class=\"data row3 col3\" >30940.000000</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row3_col4\" class=\"data row3 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >Faeroe Islands</th>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row4_col0\" class=\"data row4 col0\" >Moderna, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row4_col1\" class=\"data row4 col1\" >21128.000000</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row4_col2\" class=\"data row4 col2\" >14743.000000</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row4_col3\" class=\"data row4 col3\" >6385.000000</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row4_col4\" class=\"data row4 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >Liechtenstein</th>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row5_col0\" class=\"data row5 col0\" >Moderna, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row5_col1\" class=\"data row5 col1\" >12998.000000</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row5_col2\" class=\"data row5 col2\" >8815.000000</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row5_col3\" class=\"data row5 col3\" >4183.000000</td>\n",
              "                        <td id=\"T_ccfd8090_c9c7_11eb_b217_0242ac1c0002row5_col4\" class=\"data row5 col4\" >2021-05-02 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a558a50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        },
        "id": "pluC0RGuIdbS",
        "outputId": "e75d51c5-3f31-41b1-d559-9ee234272856"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Pfizer/BioNTech, Sinovac'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row0_col1,#T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row0_col2,#T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row0_col3{\n",
              "            background-color:  #08306b;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row1_col1{\n",
              "            background-color:  #4a98c9;\n",
              "            color:  #000000;\n",
              "        }#T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row1_col2{\n",
              "            background-color:  #5ba3d0;\n",
              "            color:  #000000;\n",
              "        }#T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row1_col3{\n",
              "            background-color:  #3585bf;\n",
              "            color:  #000000;\n",
              "        }#T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row2_col1{\n",
              "            background-color:  #f6faff;\n",
              "            color:  #000000;\n",
              "        }#T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row2_col2{\n",
              "            background-color:  #f5fafe;\n",
              "            color:  #000000;\n",
              "        }#T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row2_col3,#T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row3_col1,#T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row3_col2,#T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row3_col3{\n",
              "            background-color:  #f7fbff;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Turkey</th>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Pfizer/BioNTech, Sinovac</td>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >24467719.000000</td>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >14391595.000000</td>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >10076124.000000</td>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Chile</th>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Pfizer/BioNTech, Sinovac</td>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row1_col1\" class=\"data row1 col1\" >15296805.000000</td>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row1_col2\" class=\"data row1 col2\" >8303682.000000</td>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row1_col3\" class=\"data row1 col3\" >6993123.000000</td>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row1_col4\" class=\"data row1 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Hong Kong</th>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row2_col0\" class=\"data row2 col0\" >Pfizer/BioNTech, Sinovac</td>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row2_col1\" class=\"data row2 col1\" >1623981.000000</td>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row2_col2\" class=\"data row2 col2\" >1021217.000000</td>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row2_col3\" class=\"data row2 col3\" >602764.000000</td>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row2_col4\" class=\"data row2 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >Malaysia</th>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row3_col0\" class=\"data row3 col0\" >Pfizer/BioNTech, Sinovac</td>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row3_col1\" class=\"data row3 col1\" >1500202.000000</td>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row3_col2\" class=\"data row3 col2\" >914663.000000</td>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row3_col3\" class=\"data row3 col3\" >585539.000000</td>\n",
              "                        <td id=\"T_cd06cdee_c9c7_11eb_b217_0242ac1c0002row3_col4\" class=\"data row3 col4\" >2021-05-03 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1adaef50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 77
        },
        "id": "wssUc7N6IfqS",
        "outputId": "e3223721-8d36-4e9d-d05f-86c5bb5febab"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Sinopharm/Beijing, Sinopharm/Wuhan, Sinovac'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_cd0d5c5e_c9c7_11eb_b217_0242ac1c0002row0_col1,#T_cd0d5c5e_c9c7_11eb_b217_0242ac1c0002row0_col2,#T_cd0d5c5e_c9c7_11eb_b217_0242ac1c0002row0_col3{\n",
              "            background-color:  #f7fbff;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_cd0d5c5e_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_cd0d5c5e_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >China</th>\n",
              "                        <td id=\"T_cd0d5c5e_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Sinopharm/Beijing, Sinopharm/Wuhan, Sinovac</td>\n",
              "                        <td id=\"T_cd0d5c5e_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >297734000.000000</td>\n",
              "                        <td id=\"T_cd0d5c5e_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >0.000000</td>\n",
              "                        <td id=\"T_cd0d5c5e_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >0.000000</td>\n",
              "                        <td id=\"T_cd0d5c5e_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a7b98d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 314
        },
        "id": "N0kM8XlvIity",
        "outputId": "d8198f62-6a8f-467c-e521-1be5f1825f31"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Oxford/AstraZeneca, Pfizer/BioNTech'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row0_col1,#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row1_col2,#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row2_col3{\n",
              "            background-color:  #08306b;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row0_col2,#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row0_col3,#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row3_col3,#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row11_col1,#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row12_col1{\n",
              "            background-color:  #f7fbff;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row1_col1{\n",
              "            background-color:  #95c5df;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row1_col3{\n",
              "            background-color:  #6aaed6;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row2_col1{\n",
              "            background-color:  #a5cde3;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row2_col2{\n",
              "            background-color:  #1d6cb1;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row3_col1{\n",
              "            background-color:  #c7dcef;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row3_col2,#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row8_col3{\n",
              "            background-color:  #eef5fc;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row4_col1,#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row7_col3{\n",
              "            background-color:  #e5eff9;\n",
              "            color:  #000000;\n",
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              "            background-color:  #d6e6f4;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row4_col3{\n",
              "            background-color:  #85bcdc;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row5_col1,#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row6_col1,#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row7_col2{\n",
              "            background-color:  #eaf2fb;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row5_col2{\n",
              "            background-color:  #dce9f6;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row5_col3{\n",
              "            background-color:  #b8d5ea;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row6_col2{\n",
              "            background-color:  #deebf7;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row6_col3{\n",
              "            background-color:  #b5d4e9;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row7_col1{\n",
              "            background-color:  #f2f7fd;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row8_col1,#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row9_col1,#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row10_col1,#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row12_col2,#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row12_col3{\n",
              "            background-color:  #f6faff;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row8_col2{\n",
              "            background-color:  #f5f9fe;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row9_col2,#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row11_col3{\n",
              "            background-color:  #f4f9fe;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row9_col3{\n",
              "            background-color:  #f3f8fe;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row10_col2,#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row11_col2{\n",
              "            background-color:  #f5fafe;\n",
              "            color:  #000000;\n",
              "        }#T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row10_col3{\n",
              "            background-color:  #eff6fc;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Saudi Arabia</th>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >10065924.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >0.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >0.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >South Korea</th>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row1_col1\" class=\"data row1 col1\" >4005806.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row1_col2\" class=\"data row1 col2\" >3608616.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row1_col3\" class=\"data row1 col3\" >397190.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row1_col4\" class=\"data row1 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Sweden</th>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row2_col0\" class=\"data row2 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row2_col1\" class=\"data row2 col1\" >3563609.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row2_col2\" class=\"data row2 col2\" >2769411.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row2_col3\" class=\"data row2 col3\" >794198.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row2_col4\" class=\"data row2 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >Australia</th>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row3_col0\" class=\"data row3 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row3_col1\" class=\"data row3 col1\" >2473529.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row3_col2\" class=\"data row3 col2\" >159294.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row3_col3\" class=\"data row3 col3\" >0.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row3_col4\" class=\"data row3 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >Costa Rica</th>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row4_col0\" class=\"data row4 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row4_col1\" class=\"data row4 col1\" >950252.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row4_col2\" class=\"data row4 col2\" >605099.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row4_col3\" class=\"data row4 col3\" >345153.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row4_col4\" class=\"data row4 col4\" >2021-05-03 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >Panama</th>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row5_col0\" class=\"data row5 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row5_col1\" class=\"data row5 col1\" >731189.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row5_col2\" class=\"data row5 col2\" >496131.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row5_col3\" class=\"data row5 col3\" >235058.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row5_col4\" class=\"data row5 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >Slovenia</th>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row6_col0\" class=\"data row6 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row6_col1\" class=\"data row6 col1\" >702666.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row6_col2\" class=\"data row6 col2\" >463252.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row6_col3\" class=\"data row6 col3\" >239414.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row6_col4\" class=\"data row6 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >Oman</th>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row7_col0\" class=\"data row7 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row7_col1\" class=\"data row7 col1\" >315691.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row7_col2\" class=\"data row7 col2\" >253000.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row7_col3\" class=\"data row7 col3\" >73269.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row7_col4\" class=\"data row7 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >Jersey</th>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row8_col0\" class=\"data row8 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row8_col1\" class=\"data row8 col1\" >88404.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row8_col2\" class=\"data row8 col2\" >52891.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row8_col3\" class=\"data row8 col3\" >35513.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row8_col4\" class=\"data row8 col4\" >2021-05-02 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >Isle of Man</th>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row9_col0\" class=\"data row9 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row9_col1\" class=\"data row9 col1\" >75013.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row9_col2\" class=\"data row9 col2\" >59217.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row9_col3\" class=\"data row9 col3\" >15796.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row9_col4\" class=\"data row9 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >Cayman Islands</th>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row10_col0\" class=\"data row10 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row10_col1\" class=\"data row10 col1\" >69573.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row10_col2\" class=\"data row10 col2\" >37062.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row10_col3\" class=\"data row10 col3\" >32511.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row10_col4\" class=\"data row10 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >Guernsey</th>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row11_col0\" class=\"data row11 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row11_col1\" class=\"data row11 col1\" >46587.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row11_col2\" class=\"data row11 col2\" >32969.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row11_col3\" class=\"data row11 col3\" >13618.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row11_col4\" class=\"data row11 col4\" >2021-04-20 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002level0_row12\" class=\"row_heading level0 row12\" >Andorra</th>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row12_col0\" class=\"data row12 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row12_col1\" class=\"data row12 col1\" >28881.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row12_col2\" class=\"data row12 col2\" >24182.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row12_col3\" class=\"data row12 col3\" >4699.000000</td>\n",
              "                        <td id=\"T_cd1417e2_c9c7_11eb_b217_0242ac1c0002row12_col4\" class=\"data row12 col4\" >2021-05-03 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a56ccd0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 57
        },
        "id": "4hOaIfyOIlGa",
        "outputId": "f2bf4dd6-6f0d-4841-8488-45d8487e1dec"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Sinovac'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "</style><table id=\"T_cd1937ae_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "        </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a7b9f50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 57
        },
        "id": "75F3m0yRItEc",
        "outputId": "c44bc532-4368-4d8b-f772-bcc40f837546"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Moderna'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "</style><table id=\"T_cd1d8e3a_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "        </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a4fcf90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 94
        },
        "id": "qli1VNA6IvRJ",
        "outputId": "dd26f6b7-2f5e-4230-d029-21e9e8c944eb"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Moderna, Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_cd22c30a_c9c7_11eb_b217_0242ac1c0002row0_col1,#T_cd22c30a_c9c7_11eb_b217_0242ac1c0002row0_col2,#T_cd22c30a_c9c7_11eb_b217_0242ac1c0002row0_col3{\n",
              "            background-color:  #f7fbff;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_cd22c30a_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_cd22c30a_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Hungary</th>\n",
              "                        <td id=\"T_cd22c30a_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Moderna, Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V</td>\n",
              "                        <td id=\"T_cd22c30a_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >6468466.000000</td>\n",
              "                        <td id=\"T_cd22c30a_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >4153038.000000</td>\n",
              "                        <td id=\"T_cd22c30a_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >2315428.000000</td>\n",
              "                        <td id=\"T_cd22c30a_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1ae03610>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 77
        },
        "id": "e-JNh8-GIxyZ",
        "outputId": "6e06bf33-a223-42fe-dcb2-5c0918cea7ae"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Covaxin, Oxford/AstraZeneca'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_cd27c0da_c9c7_11eb_b217_0242ac1c0002row0_col1,#T_cd27c0da_c9c7_11eb_b217_0242ac1c0002row0_col2,#T_cd27c0da_c9c7_11eb_b217_0242ac1c0002row0_col3{\n",
              "            background-color:  #f7fbff;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_cd27c0da_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_cd27c0da_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >India</th>\n",
              "                        <td id=\"T_cd27c0da_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Covaxin, Oxford/AstraZeneca</td>\n",
              "                        <td id=\"T_cd27c0da_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >162603603.000000</td>\n",
              "                        <td id=\"T_cd27c0da_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >131058890.000000</td>\n",
              "                        <td id=\"T_cd27c0da_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >31544713.000000</td>\n",
              "                        <td id=\"T_cd27c0da_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a509d90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 96
        },
        "id": "SaAJNntDIzyy",
        "outputId": "571aec57-6471-4909-dda5-4e989e6bdb8e"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Pfizer/BioNTech, Sinopharm/Beijing'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_cd31074e_c9c7_11eb_b217_0242ac1c0002row0_col1,#T_cd31074e_c9c7_11eb_b217_0242ac1c0002row0_col2,#T_cd31074e_c9c7_11eb_b217_0242ac1c0002row0_col3{\n",
              "            background-color:  #08306b;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_cd31074e_c9c7_11eb_b217_0242ac1c0002row1_col1,#T_cd31074e_c9c7_11eb_b217_0242ac1c0002row1_col2,#T_cd31074e_c9c7_11eb_b217_0242ac1c0002row1_col3{\n",
              "            background-color:  #f7fbff;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_cd31074e_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_cd31074e_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Jordan</th>\n",
              "                        <td id=\"T_cd31074e_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Pfizer/BioNTech, Sinopharm/Beijing</td>\n",
              "                        <td id=\"T_cd31074e_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >1091048.000000</td>\n",
              "                        <td id=\"T_cd31074e_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >805020.000000</td>\n",
              "                        <td id=\"T_cd31074e_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >286028.000000</td>\n",
              "                        <td id=\"T_cd31074e_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-04 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd31074e_c9c7_11eb_b217_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Macao</th>\n",
              "                        <td id=\"T_cd31074e_c9c7_11eb_b217_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Pfizer/BioNTech, Sinopharm/Beijing</td>\n",
              "                        <td id=\"T_cd31074e_c9c7_11eb_b217_0242ac1c0002row1_col1\" class=\"data row1 col1\" >112748.000000</td>\n",
              "                        <td id=\"T_cd31074e_c9c7_11eb_b217_0242ac1c0002row1_col2\" class=\"data row1 col2\" >74059.000000</td>\n",
              "                        <td id=\"T_cd31074e_c9c7_11eb_b217_0242ac1c0002row1_col3\" class=\"data row1 col3\" >38831.000000</td>\n",
              "                        <td id=\"T_cd31074e_c9c7_11eb_b217_0242ac1c0002row1_col4\" class=\"data row1 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a560cd0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 94
        },
        "id": "BSzjonsQI3FK",
        "outputId": "b8220392-ef10-42a9-b36c-f67f84a48179"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Oxford/AstraZeneca, Pfizer/BioNTech, Sputnik V'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_cd362cd8_c9c7_11eb_b217_0242ac1c0002row0_col1,#T_cd362cd8_c9c7_11eb_b217_0242ac1c0002row0_col2,#T_cd362cd8_c9c7_11eb_b217_0242ac1c0002row0_col3{\n",
              "            background-color:  #f7fbff;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_cd362cd8_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_cd362cd8_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >North Macedonia</th>\n",
              "                        <td id=\"T_cd362cd8_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech, Sputnik V</td>\n",
              "                        <td id=\"T_cd362cd8_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >74076.000000</td>\n",
              "                        <td id=\"T_cd362cd8_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >74076.000000</td>\n",
              "                        <td id=\"T_cd362cd8_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >0.000000</td>\n",
              "                        <td id=\"T_cd362cd8_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a50e490>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 116
        },
        "id": "z-clCd1QI856",
        "outputId": "e87ceca5-b2f1-4ebd-c57b-64b433cdbe49"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Sinopharm/Beijing, Sputnik V'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row0_col1,#T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row0_col2,#T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row0_col3{\n",
              "            background-color:  #08306b;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row1_col1{\n",
              "            background-color:  #e7f1fa;\n",
              "            color:  #000000;\n",
              "        }#T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row1_col2{\n",
              "            background-color:  #e0ecf8;\n",
              "            color:  #000000;\n",
              "        }#T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row1_col3{\n",
              "            background-color:  #f5f9fe;\n",
              "            color:  #000000;\n",
              "        }#T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row2_col1,#T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row2_col2,#T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row2_col3{\n",
              "            background-color:  #f7fbff;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Laos</th>\n",
              "                        <td id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Sinopharm/Beijing, Sputnik V</td>\n",
              "                        <td id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >184387.000000</td>\n",
              "                        <td id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >126072.000000</td>\n",
              "                        <td id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >58315.000000</td>\n",
              "                        <td id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-04-26 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Kyrgyzstan</th>\n",
              "                        <td id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Sinopharm/Beijing, Sputnik V</td>\n",
              "                        <td id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row1_col1\" class=\"data row1 col1\" >27858.000000</td>\n",
              "                        <td id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row1_col2\" class=\"data row1 col2\" >27000.000000</td>\n",
              "                        <td id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row1_col3\" class=\"data row1 col3\" >858.000000</td>\n",
              "                        <td id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row1_col4\" class=\"data row1 col4\" >2021-04-28 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Congo</th>\n",
              "                        <td id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row2_col0\" class=\"data row2 col0\" >Sinopharm/Beijing, Sputnik V</td>\n",
              "                        <td id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row2_col1\" class=\"data row2 col1\" >14297.000000</td>\n",
              "                        <td id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row2_col2\" class=\"data row2 col2\" >14297.000000</td>\n",
              "                        <td id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row2_col3\" class=\"data row2 col3\" >0.000000</td>\n",
              "                        <td id=\"T_cd3b364c_c9c7_11eb_b217_0242ac1c0002row2_col4\" class=\"data row2 col4\" >2021-04-14 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1acc0bd0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 215
        },
        "id": "ZBw4WHqKJAS7",
        "outputId": "5d4509fa-d5ad-4279-d514-10db51201e7e"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Oxford/AstraZeneca, Sinopharm/Beijing'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row0_col1,#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row0_col2,#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row0_col3{\n",
              "            background-color:  #08306b;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row1_col1{\n",
              "            background-color:  #cde0f1;\n",
              "            color:  #000000;\n",
              "        }#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row1_col2{\n",
              "            background-color:  #99c7e0;\n",
              "            color:  #000000;\n",
              "        }#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row1_col3,#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row3_col3,#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row4_col3,#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row6_col3,#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row7_col1,#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row7_col2,#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row7_col3{\n",
              "            background-color:  #f7fbff;\n",
              "            color:  #000000;\n",
              "        }#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row2_col1{\n",
              "            background-color:  #e1edf8;\n",
              "            color:  #000000;\n",
              "        }#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row2_col2{\n",
              "            background-color:  #d6e5f4;\n",
              "            color:  #000000;\n",
              "        }#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row2_col3{\n",
              "            background-color:  #f0f6fd;\n",
              "            color:  #000000;\n",
              "        }#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row3_col1{\n",
              "            background-color:  #eaf3fb;\n",
              "            color:  #000000;\n",
              "        }#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row3_col2{\n",
              "            background-color:  #dfecf7;\n",
              "            color:  #000000;\n",
              "        }#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row4_col1{\n",
              "            background-color:  #f2f7fd;\n",
              "            color:  #000000;\n",
              "        }#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row4_col2{\n",
              "            background-color:  #edf4fc;\n",
              "            color:  #000000;\n",
              "        }#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row5_col1,#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row5_col2,#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row6_col1{\n",
              "            background-color:  #f5fafe;\n",
              "            color:  #000000;\n",
              "        }#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row5_col3{\n",
              "            background-color:  #f5f9fe;\n",
              "            color:  #000000;\n",
              "        }#T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row6_col2{\n",
              "            background-color:  #f4f9fe;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Morocco</th>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Oxford/AstraZeneca, Sinopharm/Beijing</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >9680954.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >5334087.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >4346867.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Nepal</th>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Oxford/AstraZeneca, Sinopharm/Beijing</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row1_col1\" class=\"data row1 col1\" >2091511.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row1_col2\" class=\"data row1 col2\" >2091511.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row1_col3\" class=\"data row1 col3\" >0.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row1_col4\" class=\"data row1 col4\" >2021-04-28 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Sri Lanka</th>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row2_col0\" class=\"data row2 col0\" >Oxford/AstraZeneca, Sinopharm/Beijing</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row2_col1\" class=\"data row2 col1\" >1088093.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row2_col2\" class=\"data row2 col2\" >928107.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row2_col3\" class=\"data row2 col3\" >159986.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row2_col4\" class=\"data row2 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >Egypt</th>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row3_col0\" class=\"data row3 col0\" >Oxford/AstraZeneca, Sinopharm/Beijing</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row3_col1\" class=\"data row3 col1\" >660000.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row3_col2\" class=\"data row3 col2\" >660000.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row3_col3\" class=\"data row3 col3\" >0.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row3_col4\" class=\"data row3 col4\" >2021-04-18 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >Iraq</th>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row4_col0\" class=\"data row4 col0\" >Oxford/AstraZeneca, Sinopharm/Beijing</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row4_col1\" class=\"data row4 col1\" >298377.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row4_col2\" class=\"data row4 col2\" >298377.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row4_col3\" class=\"data row4 col3\" >0.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row4_col4\" class=\"data row4 col4\" >2021-04-23 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >Seychelles</th>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row5_col0\" class=\"data row5 col0\" >Oxford/AstraZeneca, Sinopharm/Beijing</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row5_col1\" class=\"data row5 col1\" >127721.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row5_col2\" class=\"data row5 col2\" >68045.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row5_col3\" class=\"data row5 col3\" >59676.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row5_col4\" class=\"data row5 col4\" >2021-05-03 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >Somalia</th>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row6_col0\" class=\"data row6 col0\" >Oxford/AstraZeneca, Sinopharm/Beijing</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row6_col1\" class=\"data row6 col1\" >117567.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row6_col2\" class=\"data row6 col2\" >117567.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row6_col3\" class=\"data row6 col3\" >0.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row6_col4\" class=\"data row6 col4\" >2021-04-17 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >Namibia</th>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row7_col0\" class=\"data row7 col0\" >Oxford/AstraZeneca, Sinopharm/Beijing</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row7_col1\" class=\"data row7 col1\" >20005.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row7_col2\" class=\"data row7 col2\" >18837.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row7_col3\" class=\"data row7 col3\" >1168.000000</td>\n",
              "                        <td id=\"T_cd4119b8_c9c7_11eb_b217_0242ac1c0002row7_col4\" class=\"data row7 col4\" >2021-04-28 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a509190>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 116
        },
        "id": "enaYtlOcJDVy",
        "outputId": "e4ae2bf7-fecc-4528-c909-5c883fc580b1"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row0_col1,#T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row0_col2,#T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row0_col3{\n",
              "            background-color:  #08306b;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row1_col1{\n",
              "            background-color:  #ecf4fb;\n",
              "            color:  #000000;\n",
              "        }#T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row1_col2{\n",
              "            background-color:  #eaf3fb;\n",
              "            color:  #000000;\n",
              "        }#T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row1_col3,#T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row2_col1,#T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row2_col2{\n",
              "            background-color:  #f7fbff;\n",
              "            color:  #000000;\n",
              "        }#T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row2_col3{\n",
              "            background-color:  #f5fafe;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Argentina</th>\n",
              "                        <td id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V</td>\n",
              "                        <td id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >8591061.000000</td>\n",
              "                        <td id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >7399515.000000</td>\n",
              "                        <td id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >1191546.000000</td>\n",
              "                        <td id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Iran</th>\n",
              "                        <td id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V</td>\n",
              "                        <td id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row1_col1\" class=\"data row1 col1\" >1314641.000000</td>\n",
              "                        <td id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row1_col2\" class=\"data row1 col2\" >1083138.000000</td>\n",
              "                        <td id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row1_col3\" class=\"data row1 col3\" >231503.000000</td>\n",
              "                        <td id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row1_col4\" class=\"data row1 col4\" >2021-05-04 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Bolivia</th>\n",
              "                        <td id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row2_col0\" class=\"data row2 col0\" >Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V</td>\n",
              "                        <td id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row2_col1\" class=\"data row2 col1\" >878563.000000</td>\n",
              "                        <td id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row2_col2\" class=\"data row2 col2\" >637694.000000</td>\n",
              "                        <td id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row2_col3\" class=\"data row2 col3\" >240869.000000</td>\n",
              "                        <td id=\"T_cd482cf8_c9c7_11eb_b217_0242ac1c0002row2_col4\" class=\"data row2 col4\" >2021-05-03 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a7add50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 77
        },
        "id": "cXlyGoUWJILy",
        "outputId": "98abd4a0-05e9-4ce4-9564-db716c1e4b19"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'EpiVacCorona, Sputnik V'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_cd4e97aa_c9c7_11eb_b217_0242ac1c0002row0_col1,#T_cd4e97aa_c9c7_11eb_b217_0242ac1c0002row0_col2,#T_cd4e97aa_c9c7_11eb_b217_0242ac1c0002row0_col3{\n",
              "            background-color:  #f7fbff;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_cd4e97aa_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_cd4e97aa_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Russia</th>\n",
              "                        <td id=\"T_cd4e97aa_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >EpiVacCorona, Sputnik V</td>\n",
              "                        <td id=\"T_cd4e97aa_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >21177713.000000</td>\n",
              "                        <td id=\"T_cd4e97aa_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >12893563.000000</td>\n",
              "                        <td id=\"T_cd4e97aa_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >8284150.000000</td>\n",
              "                        <td id=\"T_cd4e97aa_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a7b97d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 77
        },
        "id": "daA73lZlJKfi",
        "outputId": "b5c41a82-3742-4deb-a7fc-0b056f0d7d26"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Johnson&Johnson'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_cd53f420_c9c7_11eb_b217_0242ac1c0002row0_col1,#T_cd53f420_c9c7_11eb_b217_0242ac1c0002row0_col2,#T_cd53f420_c9c7_11eb_b217_0242ac1c0002row0_col3{\n",
              "            background-color:  #f7fbff;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_cd53f420_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_cd53f420_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >South Africa</th>\n",
              "                        <td id=\"T_cd53f420_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Johnson&Johnson</td>\n",
              "                        <td id=\"T_cd53f420_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >366101.000000</td>\n",
              "                        <td id=\"T_cd53f420_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >366101.000000</td>\n",
              "                        <td id=\"T_cd53f420_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >366101.000000</td>\n",
              "                        <td id=\"T_cd53f420_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a51a490>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 94
        },
        "id": "tVpOQ5giJNP2",
        "outputId": "c06effa6-9a90-4266-b9e5-e300d82c6ca9"
      },
      "source": [
        "latest_data[latest_data['vaccines'] == 'Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sinopharm/Wuhan, Sputnik V'][['vaccines','total_vaccinations', 'people_vaccinated', 'people_fully_vaccinated','date']].sort_values(by='total_vaccinations', ascending = False).head(15).style.background_gradient(cmap='Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_cd5903f2_c9c7_11eb_b217_0242ac1c0002row0_col1,#T_cd5903f2_c9c7_11eb_b217_0242ac1c0002row0_col2,#T_cd5903f2_c9c7_11eb_b217_0242ac1c0002row0_col3{\n",
              "            background-color:  #f7fbff;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_cd5903f2_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >vaccines</th>        <th class=\"col_heading level0 col1\" >total_vaccinations</th>        <th class=\"col_heading level0 col2\" >people_vaccinated</th>        <th class=\"col_heading level0 col3\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col4\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_cd5903f2_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >United Arab Emirates</th>\n",
              "                        <td id=\"T_cd5903f2_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sinopharm/Wuhan, Sputnik V</td>\n",
              "                        <td id=\"T_cd5903f2_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >10907264.000000</td>\n",
              "                        <td id=\"T_cd5903f2_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >5081853.000000</td>\n",
              "                        <td id=\"T_cd5903f2_c9c7_11eb_b217_0242ac1c0002row0_col3\" class=\"data row0 col3\" >3836521.000000</td>\n",
              "                        <td id=\"T_cd5903f2_c9c7_11eb_b217_0242ac1c0002row0_col4\" class=\"data row0 col4\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a52c6d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_MDOdznRJQYk"
      },
      "source": [
        "# Sns settings\n",
        "c = '#386B7F'\n",
        "sns.set_style('darkgrid')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 650
        },
        "id": "XKYHLqEQJ5GZ",
        "outputId": "6c566870-a299-43d1-9a91-3ab31d406011"
      },
      "source": [
        "latest_data[['people_fully_vaccinated_per_hundred','people_fully_vaccinated', 'date' ]].sort_values(by='people_fully_vaccinated_per_hundred', ascending = False).head(30).style.background_gradient(cmap = 'Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "            background-color:  #08306b;\n",
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              "            background-color:  #f7fbff;\n",
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              "        }#T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row1_col0{\n",
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              "            background-color:  #99c7e0;\n",
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              "            background-color:  #c7dcef;\n",
              "            color:  #000000;\n",
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              "            background-color:  #f0f6fd;\n",
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              "            background-color:  #d0e1f2;\n",
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              "            background-color:  #d4e4f4;\n",
              "            color:  #000000;\n",
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              "            background-color:  #f6faff;\n",
              "            color:  #000000;\n",
              "        }#T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row10_col0{\n",
              "            background-color:  #d6e5f4;\n",
              "            color:  #000000;\n",
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              "            background-color:  #d8e7f5;\n",
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              "            background-color:  #dce9f6;\n",
              "            color:  #000000;\n",
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              "            background-color:  #e5eff9;\n",
              "            color:  #000000;\n",
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              "            background-color:  #f5f9fe;\n",
              "            color:  #000000;\n",
              "        }#T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row15_col0,#T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row16_col0{\n",
              "            background-color:  #e6f0f9;\n",
              "            color:  #000000;\n",
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              "            background-color:  #e9f2fa;\n",
              "            color:  #000000;\n",
              "        }#T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row18_col1{\n",
              "            background-color:  #deebf7;\n",
              "            color:  #000000;\n",
              "        }#T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row19_col1{\n",
              "            background-color:  #d9e8f5;\n",
              "            color:  #000000;\n",
              "        }#T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row20_col1{\n",
              "            background-color:  #f3f8fe;\n",
              "            color:  #000000;\n",
              "        }#T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row21_col0{\n",
              "            background-color:  #eaf2fb;\n",
              "            color:  #000000;\n",
              "        }#T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row22_col0,#T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row23_col0{\n",
              "            background-color:  #ecf4fb;\n",
              "            color:  #000000;\n",
              "        }#T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row24_col0{\n",
              "            background-color:  #edf4fc;\n",
              "            color:  #000000;\n",
              "        }#T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row26_col0{\n",
              "            background-color:  #f2f8fd;\n",
              "            color:  #000000;\n",
              "        }#T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row27_col0{\n",
              "            background-color:  #f5fafe;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >people_fully_vaccinated_per_hundred</th>        <th class=\"col_heading level0 col1\" >people_fully_vaccinated</th>        <th class=\"col_heading level0 col2\" >date</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Gibraltar</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >102.950000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >34686.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row0_col2\" class=\"data row0 col2\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Seychelles</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row1_col0\" class=\"data row1 col0\" >60.680000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row1_col1\" class=\"data row1 col1\" >59676.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row1_col2\" class=\"data row1 col2\" >2021-05-03 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Israel</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row2_col0\" class=\"data row2 col0\" >58.600000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row2_col1\" class=\"data row2 col1\" >5071821.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row2_col2\" class=\"data row2 col2\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >Falkland Islands</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row3_col0\" class=\"data row3 col0\" >50.960000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row3_col1\" class=\"data row3 col1\" >1775.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row3_col2\" class=\"data row3 col2\" >2021-04-14 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >Cayman Islands</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row4_col0\" class=\"data row4 col0\" >49.470000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row4_col1\" class=\"data row4 col1\" >32511.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row4_col2\" class=\"data row4 col2\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >United Arab Emirates</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row5_col0\" class=\"data row5 col0\" >38.790000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row5_col1\" class=\"data row5 col1\" >3836521.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row5_col2\" class=\"data row5 col2\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >Bermuda</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row6_col0\" class=\"data row6 col0\" >38.180000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row6_col1\" class=\"data row6 col1\" >23775.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row6_col2\" class=\"data row6 col2\" >2021-04-26 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >Chile</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row7_col0\" class=\"data row7 col0\" >36.580000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row7_col1\" class=\"data row7 col1\" >6993123.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row7_col2\" class=\"data row7 col2\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >Jersey</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row8_col0\" class=\"data row8 col0\" >35.140000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row8_col1\" class=\"data row8 col1\" >35513.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row8_col2\" class=\"data row8 col2\" >2021-05-02 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >Bahrain</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row9_col0\" class=\"data row9 col0\" >33.050000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row9_col1\" class=\"data row9 col1\" >562453.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row9_col2\" class=\"data row9 col2\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >United States</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row10_col0\" class=\"data row10 col0\" >32.570000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row10_col1\" class=\"data row10 col1\" >108926627.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row10_col2\" class=\"data row10 col2\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >San Marino</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row11_col0\" class=\"data row11 col0\" >31.510000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row11_col1\" class=\"data row11 col1\" >10694.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row11_col2\" class=\"data row11 col2\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row12\" class=\"row_heading level0 row12\" >Monaco</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row12_col0\" class=\"data row12 col0\" >29.640000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row12_col1\" class=\"data row12 col1\" >11632.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row12_col2\" class=\"data row12 col2\" >2021-04-22 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row13\" class=\"row_heading level0 row13\" >Turks and Caicos Islands</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row13_col0\" class=\"data row13 col0\" >25.830000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row13_col1\" class=\"data row13 col1\" >10000.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row13_col2\" class=\"data row13 col2\" >2021-04-11 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row14\" class=\"row_heading level0 row14\" >Scotland</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row14_col0\" class=\"data row14 col0\" >25.630000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row14_col1\" class=\"data row14 col1\" >1400296.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row14_col2\" class=\"data row14 col2\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row15\" class=\"row_heading level0 row15\" >Malta</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row15_col0\" class=\"data row15 col0\" >25.530000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row15_col1\" class=\"data row15 col1\" >112731.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row15_col2\" class=\"data row15 col2\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row16\" class=\"row_heading level0 row16\" >Wales</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row16_col0\" class=\"data row16 col0\" >25.340000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row16_col1\" class=\"data row16 col1\" >798925.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row16_col2\" class=\"data row16 col2\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row17\" class=\"row_heading level0 row17\" >Northern Ireland</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row17_col0\" class=\"data row17 col0\" >24.280000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row17_col1\" class=\"data row17 col1\" >459763.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row17_col2\" class=\"data row17 col2\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row18\" class=\"row_heading level0 row18\" >England</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row18_col0\" class=\"data row18 col0\" >24.220000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row18_col1\" class=\"data row18 col1\" >13632735.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row18_col2\" class=\"data row18 col2\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row19\" class=\"row_heading level0 row19\" >United Kingdom</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row19_col0\" class=\"data row19 col0\" >24.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row19_col1\" class=\"data row19 col1\" >16291719.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row19_col2\" class=\"data row19 col2\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row20\" class=\"row_heading level0 row20\" >Hungary</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row20_col0\" class=\"data row20 col0\" >23.970000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row20_col1\" class=\"data row20 col1\" >2315428.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row20_col2\" class=\"data row20 col2\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row21\" class=\"row_heading level0 row21\" >Serbia</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row21_col0\" class=\"data row21 col0\" >23.910000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row21_col1\" class=\"data row21 col1\" >1627001.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row21_col2\" class=\"data row21 col2\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row22\" class=\"row_heading level0 row22\" >Maldives</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row22_col0\" class=\"data row22 col0\" >22.860000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row22_col1\" class=\"data row22 col1\" >123581.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row22_col2\" class=\"data row22 col2\" >2021-05-05 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row23\" class=\"row_heading level0 row23\" >Aruba</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row23_col0\" class=\"data row23 col0\" >22.650000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row23_col1\" class=\"data row23 col1\" >24182.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row23_col2\" class=\"data row23 col2\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row24\" class=\"row_heading level0 row24\" >Qatar</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row24_col0\" class=\"data row24 col0\" >22.630000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row24_col1\" class=\"data row24 col1\" >652056.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row24_col2\" class=\"data row24 col2\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row25\" class=\"row_heading level0 row25\" >Uruguay</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row25_col0\" class=\"data row25 col0\" >21.890000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row25_col1\" class=\"data row25 col1\" >760274.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row25_col2\" class=\"data row25 col2\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row26\" class=\"row_heading level0 row26\" >Guernsey</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row26_col0\" class=\"data row26 col0\" >20.310000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row26_col1\" class=\"data row26 col1\" >13618.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row26_col2\" class=\"data row26 col2\" >2021-04-20 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row27\" class=\"row_heading level0 row27\" >Curacao</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row27_col0\" class=\"data row27 col0\" >18.850000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row27_col1\" class=\"data row27 col1\" >30940.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row27_col2\" class=\"data row27 col2\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row28\" class=\"row_heading level0 row28\" >Isle of Man</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row28_col0\" class=\"data row28 col0\" >18.580000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row28_col1\" class=\"data row28 col1\" >15796.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row28_col2\" class=\"data row28 col2\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002level0_row29\" class=\"row_heading level0 row29\" >Mongolia</th>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row29_col0\" class=\"data row29 col0\" >17.990000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row29_col1\" class=\"data row29 col1\" >589672.000000</td>\n",
              "                        <td id=\"T_cd619bfc_c9c7_11eb_b217_0242ac1c0002row29_col2\" class=\"data row29 col2\" >2021-05-06 00:00:00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a505dd0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 255
        },
        "id": "OGu8NAnzKZWy",
        "outputId": "25330307-758d-4d3f-bd5b-4a1f3bdd1aea"
      },
      "source": [
        "latest_data[['people_fully_vaccinated_per_hundred', 'people_fully_vaccinated']].sort_values(by='people_fully_vaccinated', ascending = False).head(10).style.background_gradient(cmap = 'Blues')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "            color:  #000000;\n",
              "        }</style><table id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >people_fully_vaccinated_per_hundred</th>        <th class=\"col_heading level0 col1\" >people_fully_vaccinated</th>    </tr>    <tr>        <th class=\"index_name level0\" >country</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >United States</th>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row0_col0\" class=\"data row0 col0\" >32.570000</td>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row0_col1\" class=\"data row0 col1\" >108926627.000000</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >India</th>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row1_col0\" class=\"data row1 col0\" >2.290000</td>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row1_col1\" class=\"data row1 col1\" >31544713.000000</td>\n",
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              "            <tr>\n",
              "                        <th id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >United Kingdom</th>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row2_col0\" class=\"data row2 col0\" >24.000000</td>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row2_col1\" class=\"data row2 col1\" >16291719.000000</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >Brazil</th>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row3_col0\" class=\"data row3 col0\" >7.070000</td>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row3_col1\" class=\"data row3 col1\" >15037978.000000</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >England</th>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row4_col0\" class=\"data row4 col0\" >24.220000</td>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row4_col1\" class=\"data row4 col1\" >13632735.000000</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >Turkey</th>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row5_col0\" class=\"data row5 col0\" >11.950000</td>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row5_col1\" class=\"data row5 col1\" >10076124.000000</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >Mexico</th>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row6_col0\" class=\"data row6 col0\" >6.820000</td>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row6_col1\" class=\"data row6 col1\" >8790655.000000</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >Indonesia</th>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row7_col0\" class=\"data row7 col0\" >3.050000</td>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row7_col1\" class=\"data row7 col1\" >8339055.000000</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >Russia</th>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row8_col0\" class=\"data row8 col0\" >5.680000</td>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row8_col1\" class=\"data row8 col1\" >8284150.000000</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >Germany</th>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row9_col0\" class=\"data row9 col0\" >8.780000</td>\n",
              "                        <td id=\"T_cd68c71a_c9c7_11eb_b217_0242ac1c0002row9_col1\" class=\"data row9 col1\" >7360108.000000</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f5c1a4c8ed0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 628
        },
        "id": "2gfEtyu_KfNr",
        "outputId": "c79721c4-0c93-4c63-8bea-4f6d8181f37d"
      },
      "source": [
        "sns.set(rc={'figure.figsize':(11.7,8.27)}, style = 'darkgrid')\n",
        "ax3 = sns.barplot(x = latest_data['people_fully_vaccinated_per_hundred'].sort_values(ascending = False).head(15).index,\n",
        "                 y = latest_data['people_fully_vaccinated_per_hundred'].sort_values(ascending = False).head(15))\n",
        "ax3.set_xlabel('Country')\n",
        "ax3.set_ylabel('% of fully vaccinated people')\n",
        "plt.xticks(rotation = 60)\n",
        "show_values_on_bars(ax3, h_v = 'v')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 842.4x595.44 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ok70TwVlKmCq"
      },
      "source": [
        "def show_values_on_bars(axs, h_v=\"v\", space=0.7):\n",
        "    def _show_on_single_plot(ax):\n",
        "        if h_v == \"v\":\n",
        "            for p in ax.patches:\n",
        "                _x = p.get_x() + p.get_width() / 2\n",
        "                _y = p.get_y() + p.get_height()\n",
        "                value = '{:.0f}m'.format(int(p.get_height()) / 1000000)\n",
        "                ax.text(_x, _y, value, ha=\"center\") \n",
        "        elif h_v == \"h\":\n",
        "            for p in ax.patches:\n",
        "                _x = p.get_x() + p.get_width() + float(space)\n",
        "                _y = p.get_y() + p.get_height() / 2\n",
        "                value = '{:.1f}m'.format(int(p.get_width()) / 1000000)\n",
        "                ax.text(_x, _y, value, ha=\"left\")\n",
        "\n",
        "    if isinstance(axs, np.ndarray):\n",
        "        for idx, ax in np.ndenumerate(axs):\n",
        "            _show_on_single_plot(ax)\n",
        "    else:\n",
        "        _show_on_single_plot(axs)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 588
        },
        "id": "1N97pz-gKq5G",
        "outputId": "8f42ebc4-a9c6-4d7f-e5a1-d4fcda1636b9"
      },
      "source": [
        "sns.set(rc={'figure.figsize':(11.7,8.27)}, style = 'darkgrid')\n",
        "ax2 = sns.barplot(x = latest_data['total_vaccinations'].sort_values(ascending = False).head(15).index,\n",
        "                 y = latest_data['total_vaccinations'].sort_values(ascending = False).head(15))\n",
        "ax2.set_xlabel('Country')\n",
        "ax2.set_ylabel('Number of total vaccinations in millions')\n",
        "plt.yticks(ticks = [0,20000000,40000000,60000000,80000000,100000000], labels = [0,20,40,60,80,100])\n",
        "plt.xticks(rotation = 60)\n",
        "show_values_on_bars(ax2, h_v = 'v')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 842.4x595.44 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 738
        },
        "id": "cwg5RYJlKvt8",
        "outputId": "51486d96-a34d-431b-b693-b2bba89d5cfc"
      },
      "source": [
        "conditions = [(latest_data['people_fully_vaccinated_per_hundred'] <= 2.5), \n",
        "              (latest_data['people_fully_vaccinated_per_hundred'] > 2.5) & (latest_data['people_fully_vaccinated_per_hundred'] <= 5),\n",
        "              (latest_data['people_fully_vaccinated_per_hundred'] > 5) & (latest_data['people_fully_vaccinated_per_hundred'] <= 7.5),\n",
        "              (latest_data['people_fully_vaccinated_per_hundred'] > 7.5) & (latest_data['people_fully_vaccinated_per_hundred'] <= 10),\n",
        "             (latest_data['people_fully_vaccinated_per_hundred'] > 10)]\n",
        "values = ['very low','low', 'moderated', 'medium', 'high']\n",
        "new_data = latest_data\n",
        "new_data['vaccination_level'] = np.select(conditions, values)\n",
        "new_data.head(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>total_vaccinations</th>\n",
              "      <th>people_vaccinated</th>\n",
              "      <th>people_fully_vaccinated</th>\n",
              "      <th>people_fully_vaccinated_per_hundred</th>\n",
              "      <th>vaccines</th>\n",
              "      <th>iso_code</th>\n",
              "      <th>vaccination_level</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>country</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>China</th>\n",
              "      <td>2021-05-06</td>\n",
              "      <td>297734000.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>Sinopharm/Beijing, Sinopharm/Wuhan, Sinovac</td>\n",
              "      <td>CHN</td>\n",
              "      <td>very low</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>United States</th>\n",
              "      <td>2021-05-06</td>\n",
              "      <td>251973752.0</td>\n",
              "      <td>149462265.0</td>\n",
              "      <td>108926627.0</td>\n",
              "      <td>32.57</td>\n",
              "      <td>Johnson&amp;Johnson, Moderna, Pfizer/BioNTech</td>\n",
              "      <td>USA</td>\n",
              "      <td>high</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>India</th>\n",
              "      <td>2021-05-06</td>\n",
              "      <td>162603603.0</td>\n",
              "      <td>131058890.0</td>\n",
              "      <td>31544713.0</td>\n",
              "      <td>2.29</td>\n",
              "      <td>Covaxin, Oxford/AstraZeneca</td>\n",
              "      <td>IND</td>\n",
              "      <td>very low</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>United Kingdom</th>\n",
              "      <td>2021-05-05</td>\n",
              "      <td>51225890.0</td>\n",
              "      <td>34934171.0</td>\n",
              "      <td>16291719.0</td>\n",
              "      <td>24.00</td>\n",
              "      <td>Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "      <td>GBR</td>\n",
              "      <td>high</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Brazil</th>\n",
              "      <td>2021-05-06</td>\n",
              "      <td>46542392.0</td>\n",
              "      <td>31504414.0</td>\n",
              "      <td>15037978.0</td>\n",
              "      <td>7.07</td>\n",
              "      <td>Oxford/AstraZeneca, Sinovac</td>\n",
              "      <td>BRA</td>\n",
              "      <td>moderated</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>England</th>\n",
              "      <td>2021-05-05</td>\n",
              "      <td>42864836.0</td>\n",
              "      <td>29232101.0</td>\n",
              "      <td>13632735.0</td>\n",
              "      <td>24.22</td>\n",
              "      <td>Moderna, Oxford/AstraZeneca, Pfizer/BioNTech</td>\n",
              "      <td>OWID_ENG</td>\n",
              "      <td>high</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Germany</th>\n",
              "      <td>2021-05-06</td>\n",
              "      <td>33565445.0</td>\n",
              "      <td>26220901.0</td>\n",
              "      <td>7360108.0</td>\n",
              "      <td>8.78</td>\n",
              "      <td>Johnson&amp;Johnson, Moderna, Oxford/AstraZeneca, ...</td>\n",
              "      <td>DEU</td>\n",
              "      <td>medium</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Turkey</th>\n",
              "      <td>2021-05-06</td>\n",
              "      <td>24467719.0</td>\n",
              "      <td>14391595.0</td>\n",
              "      <td>10076124.0</td>\n",
              "      <td>11.95</td>\n",
              "      <td>Pfizer/BioNTech, Sinovac</td>\n",
              "      <td>TUR</td>\n",
              "      <td>high</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>France</th>\n",
              "      <td>2021-05-05</td>\n",
              "      <td>23949989.0</td>\n",
              "      <td>16791193.0</td>\n",
              "      <td>7238601.0</td>\n",
              "      <td>10.62</td>\n",
              "      <td>Johnson&amp;Johnson, Moderna, Oxford/AstraZeneca, ...</td>\n",
              "      <td>FRA</td>\n",
              "      <td>high</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Italy</th>\n",
              "      <td>2021-05-06</td>\n",
              "      <td>22644364.0</td>\n",
              "      <td>15898833.0</td>\n",
              "      <td>6877239.0</td>\n",
              "      <td>11.37</td>\n",
              "      <td>Johnson&amp;Johnson, Moderna, Oxford/AstraZeneca, ...</td>\n",
              "      <td>ITA</td>\n",
              "      <td>high</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                     date  total_vaccinations  ...  iso_code  vaccination_level\n",
              "country                                        ...                             \n",
              "China          2021-05-06         297734000.0  ...       CHN           very low\n",
              "United States  2021-05-06         251973752.0  ...       USA               high\n",
              "India          2021-05-06         162603603.0  ...       IND           very low\n",
              "United Kingdom 2021-05-05          51225890.0  ...       GBR               high\n",
              "Brazil         2021-05-06          46542392.0  ...       BRA          moderated\n",
              "England        2021-05-05          42864836.0  ...  OWID_ENG               high\n",
              "Germany        2021-05-06          33565445.0  ...       DEU             medium\n",
              "Turkey         2021-05-06          24467719.0  ...       TUR               high\n",
              "France         2021-05-05          23949989.0  ...       FRA               high\n",
              "Italy          2021-05-06          22644364.0  ...       ITA               high\n",
              "\n",
              "[10 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 356
        },
        "id": "rmlujPYyK7YB",
        "outputId": "ce3a73c8-8528-4408-d8eb-102f4410f563"
      },
      "source": [
        "fig, ax = plt.subplots(figsize=(8, 6))\n",
        "new_data.groupby('vaccination_level').size().plot(kind='pie', autopct='%1.0f%%', ax = ax)\n",
        "ax.set_ylabel('Worldwide vaccination level', fontsize = 16)\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 355
        },
        "id": "grKHChpFLgdS",
        "outputId": "8491385e-4641-414e-ef7d-1d263ac7e414"
      },
      "source": [
        "daily_data = data[['daily_vaccinations','date']].groupby('date', as_index = False).sum()\n",
        "daily_data['vac_test'] = daily_data['daily_vaccinations']\n",
        "daily_data.head(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>daily_vaccinations</th>\n",
              "      <th>vac_test</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2020-12-14</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2020-12-15</td>\n",
              "      <td>718.0</td>\n",
              "      <td>718.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2020-12-16</td>\n",
              "      <td>192366.0</td>\n",
              "      <td>192366.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2020-12-17</td>\n",
              "      <td>193256.0</td>\n",
              "      <td>193256.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2020-12-18</td>\n",
              "      <td>193649.0</td>\n",
              "      <td>193649.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2020-12-19</td>\n",
              "      <td>193235.0</td>\n",
              "      <td>193235.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>2020-12-20</td>\n",
              "      <td>200354.0</td>\n",
              "      <td>200354.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>2020-12-21</td>\n",
              "      <td>267874.0</td>\n",
              "      <td>267874.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>2020-12-22</td>\n",
              "      <td>347612.0</td>\n",
              "      <td>347612.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>2020-12-23</td>\n",
              "      <td>391560.0</td>\n",
              "      <td>391560.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        date  daily_vaccinations  vac_test\n",
              "0 2020-12-14                 0.0       0.0\n",
              "1 2020-12-15               718.0     718.0\n",
              "2 2020-12-16            192366.0  192366.0\n",
              "3 2020-12-17            193256.0  193256.0\n",
              "4 2020-12-18            193649.0  193649.0\n",
              "5 2020-12-19            193235.0  193235.0\n",
              "6 2020-12-20            200354.0  200354.0\n",
              "7 2020-12-21            267874.0  267874.0\n",
              "8 2020-12-22            347612.0  347612.0\n",
              "9 2020-12-23            391560.0  391560.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 355
        },
        "id": "0x9Jd4CcLpDN",
        "outputId": "f2e5cf22-0781-4db7-b164-a3a9cf593ade"
      },
      "source": [
        "daily_data['year'] = daily_data['date'].dt.year\n",
        "daily_data['month'] = daily_data['date'].dt.month\n",
        "daily_data['day'] = daily_data['date'].dt.day\n",
        "daily_data.tail(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>daily_vaccinations</th>\n",
              "      <th>vac_test</th>\n",
              "      <th>year</th>\n",
              "      <th>month</th>\n",
              "      <th>day</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>134</th>\n",
              "      <td>2021-04-27</td>\n",
              "      <td>18414295.0</td>\n",
              "      <td>18414295.0</td>\n",
              "      <td>2021</td>\n",
              "      <td>4</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>135</th>\n",
              "      <td>2021-04-28</td>\n",
              "      <td>19215486.0</td>\n",
              "      <td>19215486.0</td>\n",
              "      <td>2021</td>\n",
              "      <td>4</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>136</th>\n",
              "      <td>2021-04-29</td>\n",
              "      <td>19573439.0</td>\n",
              "      <td>19573439.0</td>\n",
              "      <td>2021</td>\n",
              "      <td>4</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>137</th>\n",
              "      <td>2021-04-30</td>\n",
              "      <td>20398287.0</td>\n",
              "      <td>20398287.0</td>\n",
              "      <td>2021</td>\n",
              "      <td>4</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>138</th>\n",
              "      <td>2021-05-01</td>\n",
              "      <td>20334355.0</td>\n",
              "      <td>20334355.0</td>\n",
              "      <td>2021</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>139</th>\n",
              "      <td>2021-05-02</td>\n",
              "      <td>19995640.0</td>\n",
              "      <td>19995640.0</td>\n",
              "      <td>2021</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>140</th>\n",
              "      <td>2021-05-03</td>\n",
              "      <td>19292226.0</td>\n",
              "      <td>19292226.0</td>\n",
              "      <td>2021</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>141</th>\n",
              "      <td>2021-05-04</td>\n",
              "      <td>18816094.0</td>\n",
              "      <td>18816094.0</td>\n",
              "      <td>2021</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>142</th>\n",
              "      <td>2021-05-05</td>\n",
              "      <td>18135652.0</td>\n",
              "      <td>18135652.0</td>\n",
              "      <td>2021</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>143</th>\n",
              "      <td>2021-05-06</td>\n",
              "      <td>14911882.0</td>\n",
              "      <td>14911882.0</td>\n",
              "      <td>2021</td>\n",
              "      <td>5</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          date  daily_vaccinations    vac_test  year  month  day\n",
              "134 2021-04-27          18414295.0  18414295.0  2021      4   27\n",
              "135 2021-04-28          19215486.0  19215486.0  2021      4   28\n",
              "136 2021-04-29          19573439.0  19573439.0  2021      4   29\n",
              "137 2021-04-30          20398287.0  20398287.0  2021      4   30\n",
              "138 2021-05-01          20334355.0  20334355.0  2021      5    1\n",
              "139 2021-05-02          19995640.0  19995640.0  2021      5    2\n",
              "140 2021-05-03          19292226.0  19292226.0  2021      5    3\n",
              "141 2021-05-04          18816094.0  18816094.0  2021      5    4\n",
              "142 2021-05-05          18135652.0  18135652.0  2021      5    5\n",
              "143 2021-05-06          14911882.0  14911882.0  2021      5    6"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 516
        },
        "id": "rhZaWCsqLuub",
        "outputId": "998ddb6e-1a28-4fb7-c0d7-64472255f94c"
      },
      "source": [
        "ax = sns.lineplot(x = daily_data['date'], y = daily_data['daily_vaccinations'], color='salmon', marker='o')\n",
        "ax.set_xlabel('Date')\n",
        "plt.yticks(ticks = [0, 1000000, 2000000, 3000000, 4000000, 5000000, 6000000, 7000000], labels = [0, 1, 2, 3, 4, 5, 6, 7])\n",
        "ax.set_ylabel('Daily vaccinations, millions')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 842.4x595.44 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NzdBuHCcL1g6"
      },
      "source": [
        "jan = daily_data[daily_data['month'] == 1]\n",
        "feb = daily_data[daily_data['month'] == 2]\n",
        "mar = daily_data[daily_data['month'] == 3]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 816
        },
        "id": "Mw_tRP0ZL4iS",
        "outputId": "13565411-964e-4998-ff0d-ec1d5ec129c0"
      },
      "source": [
        "# define figure and subplots\n",
        "fig, (ax1, ax2, ax3) = plt.subplots(3, figsize = (10,13))\n",
        "# creating subplot 1\n",
        "sns.lineplot(x = jan['day'], y = jan['daily_vaccinations'], color='blue', marker='o', ax=ax1)\n",
        "ax1.set(xlabel = 'January', ylabel = 'Daily vaccinations\\n(million)')\n",
        "ax1.set_title('Seasonal decomposition by month\\n', fontsize = 20)\n",
        "# creating subplot 2\n",
        "sns.lineplot(x = feb['day'], y = feb['daily_vaccinations'], color='salmon', marker='o', ax=ax2)\n",
        "ax2.set(xlabel = 'February', ylabel = 'Daily vaccinations\\n(million)')\n",
        "# creating subplot 3\n",
        "sns.lineplot(x = mar['day'], y = mar['daily_vaccinations'], color='green', marker='o', ax=ax3)\n",
        "ax3.set(xlabel = 'March', ylabel = 'Daily vaccinations\\n(million)')\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x936 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 228
        },
        "id": "FvU3p9UuL-s1",
        "outputId": "1307847f-293e-4eed-a5c6-d2de3ded8b05"
      },
      "source": [
        "plt.figure(figsize = (8,3))\n",
        "plt.subplot(121); plot_acf(daily_data['daily_vaccinations'], lags = 40, ax = plt.gca(), color = c)\n",
        "plt.subplot(122); plot_pacf(daily_data['daily_vaccinations'], lags = 40,ax = plt.gca(), color = c)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x216 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "22khDc4IMCea",
        "outputId": "6cc830f4-4241-4ec6-c282-fa07f7505cf0"
      },
      "source": [
        "adfuller(daily_data['daily_vaccinations'])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(-1.377918494323072,\n",
              " 0.5928153021134275,\n",
              " 6,\n",
              " 137,\n",
              " {'1%': -3.479007355368944,\n",
              "  '10%': -2.5781488587564603,\n",
              "  '5%': -2.8828782366015093},\n",
              " 3633.8311587738613)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 670
        },
        "id": "M5TACYJYMIp6",
        "outputId": "0348d8ee-2334-4c65-e6f1-9abbeeb28a5b"
      },
      "source": [
        "daily_data['diff1'] = daily_data['daily_vaccinations'].diff()\n",
        "daily_data['diff1'] = daily_data['diff1'].fillna(daily_data['diff1'].mean())\n",
        "ax = sns.lineplot(x = daily_data['date'], y = daily_data['diff1'], color='blue')\n",
        "sns.lineplot(x = daily_data['date'], y = daily_data['diff1'].mean(), color='salmon')\n",
        "plt.xlabel('Date')\n",
        "plt.ylabel('Nonseasonal diff. series of 1nd order')\n",
        "plt.show()\n",
        "adfuller(daily_data.diff1)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 842.4x595.44 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(-1.1384087268506504,\n",
              " 0.6995145336638964,\n",
              " 14,\n",
              " 129,\n",
              " {'1%': -3.482087964046026,\n",
              "  '10%': -2.578864381347275,\n",
              "  '5%': -2.8842185101614626},\n",
              " 3632.8229192616664)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 228
        },
        "id": "U12cXMEIMKc-",
        "outputId": "a102bac2-857b-4521-9437-0b315e125c5e"
      },
      "source": [
        "plt.figure(figsize = (8,3))\n",
        "plt.subplot(121); plot_acf(daily_data['diff1'], lags = 40, ax = plt.gca(), color = c)\n",
        "plt.subplot(122); plot_pacf(daily_data['diff1'], lags = 40,ax = plt.gca(), color = c)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x216 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 670
        },
        "id": "ch0zmJOhMWkR",
        "outputId": "e56b3e7c-9710-48ba-cdaf-58b70833063d"
      },
      "source": [
        "daily_data['diff2'] = daily_data['diff1'].diff()\n",
        "daily_data['diff2'] = daily_data['diff2'].fillna(daily_data['diff2'].mean())\n",
        "ax = sns.lineplot(x = daily_data['date'], y = daily_data['diff2'], color='blue')\n",
        "sns.lineplot(x = daily_data['date'], y = daily_data['diff2'].mean(), color='salmon')\n",
        "plt.xlabel('Date')\n",
        "plt.ylabel('Nonseasonal diff. series of 2nd order')\n",
        "plt.show()\n",
        "adfuller(daily_data.diff2)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 842.4x595.44 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(-4.824017747796392,\n",
              " 4.891518678781355e-05,\n",
              " 14,\n",
              " 129,\n",
              " {'1%': -3.482087964046026,\n",
              "  '10%': -2.578864381347275,\n",
              "  '5%': -2.8842185101614626},\n",
              " 3616.1608147093734)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 501
        },
        "id": "6RzfGzGxMZ7q",
        "outputId": "eef5d152-400d-4408-f755-b07ac0c46dee"
      },
      "source": [
        "plt.figure(figsize = (15,8))\n",
        "plt.subplot(121); plot_acf(daily_data['diff2'], lags = 10, ax = plt.gca(), color = c)\n",
        "plt.subplot(122); plot_pacf(daily_data['diff2'], lags = 10,ax = plt.gca(), color = c)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oSUi7BbtUfEO"
      },
      "source": [
        "# ARIMA"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "mZMyWNZG2mmL",
        "outputId": "13b8c9e5-0357-437f-9fbb-286931637f94"
      },
      "source": [
        "train = data[data['vaccines']=='Sinopharm/Beijing, Sinopharm/Wuhan, Sinovac']['daily_vaccinations'][:100]\n",
        "test = data[data['vaccines']=='Sinopharm/Beijing, Sinopharm/Wuhan, Sinovac']['daily_vaccinations'][100:]\n",
        "model = ARIMA(data[data['vaccines']=='Sinopharm/Beijing, Sinopharm/Wuhan, Sinovac']['daily_vaccinations'][:200], order = (0,1,1))\n",
        "model = model.fit()\n",
        "start = len(train)\n",
        "end = len(train)+len(test)-1\n",
        "pred = model.predict(start=start, end=end, typ = 'levels')\n",
        "print(pred)\n",
        "plt.figure(figsize=(12,5), dpi=100)\n",
        "ax = sns.lineplot(x=data[data['vaccines']=='Sinopharm/Beijing, Sinopharm/Wuhan, Sinovac']['date'], y = pred, label='forecast')\n",
        "sns.lineplot(x=data[data['vaccines']=='Sinopharm/Beijing, Sinopharm/Wuhan, Sinovac']['date'], y = data[data['vaccines']=='Sinopharm/Beijing, Sinopharm/Wuhan, Sinovac']['daily_vaccinations'][:200], label='actual', ax=ax)\n",
        "plt.title('Forecast vs Actuals')\n",
        "plt.legend(loc='upper left', fontsize=8)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2903    2.344639e+06\n",
            "2904    3.045746e+06\n",
            "2905    3.652092e+06\n",
            "2906    4.054637e+06\n",
            "2907    4.165559e+06\n",
            "2908    4.450660e+06\n",
            "2909    4.596997e+06\n",
            "2910    4.975335e+06\n",
            "2911    5.069298e+06\n",
            "2912    5.248863e+06\n",
            "2913    4.721994e+06\n",
            "2914    4.786322e+06\n",
            "2915    4.433046e+06\n",
            "2916    4.475221e+06\n",
            "2917    4.034426e+06\n",
            "2918    4.096626e+06\n",
            "2919    3.808703e+06\n",
            "2920    4.049224e+06\n",
            "2921    3.842987e+06\n",
            "2922    4.315313e+06\n",
            "2923    4.208288e+06\n",
            "2924    4.354117e+06\n",
            "2925    3.909869e+06\n",
            "2926    3.669984e+06\n",
            "2927    3.595287e+06\n",
            "2928    3.513984e+06\n",
            "2929    3.194750e+06\n",
            "2930    3.399328e+06\n",
            "2931    3.649746e+06\n",
            "2932    4.103750e+06\n",
            "2933    4.103273e+06\n",
            "2934    4.480501e+06\n",
            "2935    4.779910e+06\n",
            "2936    4.993802e+06\n",
            "2937    5.433077e+06\n",
            "2938    5.790218e+06\n",
            "2939    6.152881e+06\n",
            "2940    7.407377e+06\n",
            "2941    7.034914e+06\n",
            "2942    7.288071e+06\n",
            "2943    7.160602e+06\n",
            "2944    6.841085e+06\n",
            "2945    6.381388e+06\n",
            "Name: predicted_mean, dtype: float64\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1200x500 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iqNNs8ms9Gzj",
        "outputId": "4b7e0810-48f4-4ad7-b82a-d5a928f3d6df"
      },
      "source": [
        "mean_squared_error(test, pred, squared = False)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "249051.47093751206"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 67
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4twx-BWs9Npi",
        "outputId": "725cc9ce-d57d-43e0-efc4-86f956b83c97"
      },
      "source": [
        "test.mean()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "4704037.627906977"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AWBC5wKR9Q2a",
        "outputId": "a7c23e07-3405-4e09-a7bc-492658eb35ec"
      },
      "source": [
        "mean_absolute_percentage_error(test,pred)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.044540527091151666"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 69
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tH9uzjQV9WKi",
        "outputId": "dae0a1f7-500f-4d2e-f235-ca77742792ad"
      },
      "source": [
        "from sklearn.metrics import r2_score\n",
        "r2_score(test, pred)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9538258720430959"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LjNZ8QmK9aMV",
        "outputId": "3d175404-55cf-4480-83bf-183542255ffb"
      },
      "source": [
        "from sklearn.metrics import mean_absolute_error\n",
        "print(mean_absolute_error(test, pred))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "201014.1450921627\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IZywVA3l9dDS",
        "outputId": "802cda4f-c60f-4fa5-c226-005727278d09"
      },
      "source": [
        "from sklearn.metrics import median_absolute_error\n",
        "print(median_absolute_error(test, pred))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "191870.19495582115\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xjA-JiFI9f9p",
        "outputId": "23af60cb-200e-4186-cc15-46d3d67b1d5f"
      },
      "source": [
        "from math import sqrt\n",
        "rmse = sqrt(mean_squared_error(test, pred))\n",
        "print(rmse)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "249051.47093751206\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 652
        },
        "id": "D41oEE1gJ85r",
        "outputId": "9445ea56-8cd1-49d7-8a74-1ca0330c9e85"
      },
      "source": [
        "index_fut_dat = pd.date_range(start='2021-05-06', end='2021-06-17')\n",
        "model_full = ARIMA(data[data['vaccines']=='Sinopharm/Beijing, Sinopharm/Wuhan, Sinovac']['total_vaccinations'], order = (0,1,1))\n",
        "model_full = model_full.fit()\n",
        "pred2 = model_full.predict(start=len(data), end=len(data)+len(test)-1, typ = 'levels')\n",
        "print(pred2.tail(10))\n",
        "pred2.index = index_fut_dat\n",
        "plt.figure(figsize=(12,5), dpi=100)\n",
        "ax = sns.lineplot(x=pred2.index, y = pred2, label='forecast')\n",
        "sns.lineplot(x=data[data['vaccines']=='Sinopharm/Beijing, Sinopharm/Wuhan, Sinovac']['date'], y = data[data['vaccines']=='Sinopharm/Beijing, Sinopharm/Wuhan, Sinovac']['total_vaccinations'], label='actual', ax=ax)\n",
        "plt.title('Forecast vs Actuals')\n",
        "plt.legend(loc='upper left', fontsize=8)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "15699    2.923380e+08\n",
            "15700    2.923380e+08\n",
            "15701    2.923380e+08\n",
            "15702    2.923380e+08\n",
            "15703    2.923380e+08\n",
            "15704    2.923380e+08\n",
            "15705    2.923380e+08\n",
            "15706    2.923380e+08\n",
            "15707    2.923380e+08\n",
            "15708    2.923380e+08\n",
            "Name: predicted_mean, dtype: float64\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1200x500 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rwPI26A2NxVp",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8f16c1a9-e81f-4a62-daa4-4ecf09efe0af"
      },
      "source": [
        "mean_squared_error(test, pred2, squared = False)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "287636279.926935"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qgUlfgdyLMtB",
        "outputId": "d8330f9d-55ab-4c49-ab30-ddee0e42ba7c"
      },
      "source": [
        "test.mean()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "4704037.627906977"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 90
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KJiQLXGtLP_Z",
        "outputId": "9ee5e373-80f6-4145-9736-bf0ad2d05f09"
      },
      "source": [
        "mean_absolute_percentage_error(test,pred2)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "64.5913133480779"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 91
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z9bQ6apsLUdJ",
        "outputId": "664049c3-6a67-4a52-956c-31653f780b76"
      },
      "source": [
        "from sklearn.metrics import r2_score\n",
        "r2_score(test, pred2)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "-61588.65998311041"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5PaGk2RWLW4C",
        "outputId": "8a85acbb-967c-4ab2-8dda-ab9bcfb23666"
      },
      "source": [
        "from sklearn.metrics import mean_absolute_error\n",
        "print(mean_absolute_error(test, pred))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "201014.1450921627\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2_gRgNqoLY-o",
        "outputId": "eea6a79c-9ac2-4c96-b7e1-336897b54695"
      },
      "source": [
        "from sklearn.metrics import median_absolute_error\n",
        "print(median_absolute_error(test, pred2))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "287980839.44333494\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tEamRG9TLcWA",
        "outputId": "c3aef987-9add-4132-d2ad-9b5470e3d338"
      },
      "source": [
        "from math import sqrt\n",
        "rmse = sqrt(mean_squared_error(test, pred2))\n",
        "print(rmse)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "287636279.926935\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}