World_Bank_Global_Education_Analysis.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "mount_file_id": "1I4J8VuXTODXp-3Y1Z6O1KKEe4iD9h6Q6",
      "authorship_tag": "ABX9TyPd4COvPtBk3t3LRW0TnXK7",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Navjotkhatri/WorldBank-Global-Education-Analysis/blob/main/World_Bank_Global_Education_Analysis.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "%matplotlib inline\n",
        "pd.options.display.max_columns = 100"
      ],
      "metadata": {
        "id": "af8NO39vTo8n"
      },
      "execution_count": 73,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "02FnvU9cTpHu",
        "outputId": "05971364-a5d4-4ce4-ba7a-e212252b1cc4"
      },
      "execution_count": 74,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "working_dir_path=\"/content/drive/MyDrive/Colab Notebooks/module-1 Python for Data Science/python/Eda-worldbank global education analysis/data/EdStatsCountry-Series.csv\"\n",
        "df1=pd.read_csv(working_dir_path)"
      ],
      "metadata": {
        "id": "IcgkJrA5TpJX"
      },
      "execution_count": 75,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df1.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "TOsUUwo9TpMP",
        "outputId": "857e3172-6698-4b29-c033-80c9da96074f"
      },
      "execution_count": 76,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  CountryCode         SeriesCode  \\\n",
              "0         ABW        SP.POP.TOTL   \n",
              "1         ABW        SP.POP.GROW   \n",
              "2         AFG        SP.POP.GROW   \n",
              "3         AFG  NY.GDP.PCAP.PP.CD   \n",
              "4         AFG        SP.POP.TOTL   \n",
              "\n",
              "                                         DESCRIPTION  Unnamed: 3  \n",
              "0  Data sources : United Nations World Population...         NaN  \n",
              "1  Data sources: United Nations World Population ...         NaN  \n",
              "2  Data sources: United Nations World Population ...         NaN  \n",
              "3                 Estimates are based on regression.         NaN  \n",
              "4  Data sources : United Nations World Population...         NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-82b3e982-5974-482d-99dd-e35e85dddea6\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>CountryCode</th>\n",
              "      <th>SeriesCode</th>\n",
              "      <th>DESCRIPTION</th>\n",
              "      <th>Unnamed: 3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ABW</td>\n",
              "      <td>SP.POP.TOTL</td>\n",
              "      <td>Data sources : United Nations World Population...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ABW</td>\n",
              "      <td>SP.POP.GROW</td>\n",
              "      <td>Data sources: United Nations World Population ...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>AFG</td>\n",
              "      <td>SP.POP.GROW</td>\n",
              "      <td>Data sources: United Nations World Population ...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>AFG</td>\n",
              "      <td>NY.GDP.PCAP.PP.CD</td>\n",
              "      <td>Estimates are based on regression.</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>AFG</td>\n",
              "      <td>SP.POP.TOTL</td>\n",
              "      <td>Data sources : United Nations World Population...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-82b3e982-5974-482d-99dd-e35e85dddea6')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-82b3e982-5974-482d-99dd-e35e85dddea6 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-82b3e982-5974-482d-99dd-e35e85dddea6');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 76
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1.tail()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "JbBVMNFGTpO8",
        "outputId": "4c47209c-517c-46a7-9d97-8723b7855f1c"
      },
      "execution_count": 77,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    CountryCode   SeriesCode  \\\n",
              "608         ZAF  SP.POP.GROW   \n",
              "609         ZMB  SP.POP.GROW   \n",
              "610         ZMB  SP.POP.TOTL   \n",
              "611         ZWE  SP.POP.TOTL   \n",
              "612         ZWE  SP.POP.GROW   \n",
              "\n",
              "                                           DESCRIPTION  Unnamed: 3  \n",
              "608  Data sources : Statistics South Africa, United...         NaN  \n",
              "609  Data sources: United Nations World Population ...         NaN  \n",
              "610  Data sources : United Nations World Population...         NaN  \n",
              "611  Data sources : United Nations World Population...         NaN  \n",
              "612  Data sources: United Nations World Population ...         NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c6db40a1-6c08-43ff-b2cd-da077f3617bf\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>CountryCode</th>\n",
              "      <th>SeriesCode</th>\n",
              "      <th>DESCRIPTION</th>\n",
              "      <th>Unnamed: 3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>608</th>\n",
              "      <td>ZAF</td>\n",
              "      <td>SP.POP.GROW</td>\n",
              "      <td>Data sources : Statistics South Africa, United...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>609</th>\n",
              "      <td>ZMB</td>\n",
              "      <td>SP.POP.GROW</td>\n",
              "      <td>Data sources: United Nations World Population ...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>610</th>\n",
              "      <td>ZMB</td>\n",
              "      <td>SP.POP.TOTL</td>\n",
              "      <td>Data sources : United Nations World Population...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>611</th>\n",
              "      <td>ZWE</td>\n",
              "      <td>SP.POP.TOTL</td>\n",
              "      <td>Data sources : United Nations World Population...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>612</th>\n",
              "      <td>ZWE</td>\n",
              "      <td>SP.POP.GROW</td>\n",
              "      <td>Data sources: United Nations World Population ...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c6db40a1-6c08-43ff-b2cd-da077f3617bf')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-c6db40a1-6c08-43ff-b2cd-da077f3617bf button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-c6db40a1-6c08-43ff-b2cd-da077f3617bf');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ewAD8PIbTpRp",
        "outputId": "37b49db7-070e-419c-a0a3-9bc4f33f8863"
      },
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(613, 4)"
            ]
          },
          "metadata": {},
          "execution_count": 78
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "working_dir_path=\"/content/drive/MyDrive/Colab Notebooks/module-1 Python for Data Science/python/Eda-worldbank global education analysis/data/EdStatsCountry.csv\"\n",
        "df2=pd.read_csv(working_dir_path)"
      ],
      "metadata": {
        "id": "OwCwsZBiTpUX"
      },
      "execution_count": 79,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df2.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 877
        },
        "id": "k8v8rg0CTpWy",
        "outputId": "214a4227-232e-4d01-ee0c-0ea6bcfe8af5"
      },
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  Country Code   Short Name   Table Name                     Long Name  \\\n",
              "0          ABW        Aruba        Aruba                         Aruba   \n",
              "1          AFG  Afghanistan  Afghanistan  Islamic State of Afghanistan   \n",
              "2          AGO       Angola       Angola   People's Republic of Angola   \n",
              "3          ALB      Albania      Albania           Republic of Albania   \n",
              "4          AND      Andorra      Andorra       Principality of Andorra   \n",
              "\n",
              "  2-alpha code   Currency Unit  \\\n",
              "0           AW   Aruban florin   \n",
              "1           AF  Afghan afghani   \n",
              "2           AO  Angolan kwanza   \n",
              "3           AL    Albanian lek   \n",
              "4           AD            Euro   \n",
              "\n",
              "                                       Special Notes  \\\n",
              "0  SNA data for 2000-2011 are updated from offici...   \n",
              "1  Fiscal year end: March 20; reporting period fo...   \n",
              "2  April 2013 database update: Based on IMF data,...   \n",
              "3                                                NaN   \n",
              "4                                                NaN   \n",
              "\n",
              "                      Region          Income Group WB-2 code  \\\n",
              "0  Latin America & Caribbean  High income: nonOECD        AW   \n",
              "1                 South Asia            Low income        AF   \n",
              "2         Sub-Saharan Africa   Upper middle income        AO   \n",
              "3      Europe & Central Asia   Upper middle income        AL   \n",
              "4      Europe & Central Asia  High income: nonOECD        AD   \n",
              "\n",
              "                         National accounts base year  \\\n",
              "0                                               2000   \n",
              "1                                            2002/03   \n",
              "2                                               2002   \n",
              "3  Original chained constant price data are resca...   \n",
              "4                                               1990   \n",
              "\n",
              "   National accounts reference year                   SNA price valuation  \\\n",
              "0                               NaN     Value added at basic prices (VAB)   \n",
              "1                               NaN     Value added at basic prices (VAB)   \n",
              "2                               NaN  Value added at producer prices (VAP)   \n",
              "3                            1996.0     Value added at basic prices (VAB)   \n",
              "4                               NaN                                   NaN   \n",
              "\n",
              "  Lending category Other groups  \\\n",
              "0              NaN          NaN   \n",
              "1              IDA         HIPC   \n",
              "2             IBRD          NaN   \n",
              "3             IBRD          NaN   \n",
              "4              NaN          NaN   \n",
              "\n",
              "                         System of National Accounts  \\\n",
              "0  Country uses the 1993 System of National Accou...   \n",
              "1  Country uses the 1993 System of National Accou...   \n",
              "2  Country uses the 1993 System of National Accou...   \n",
              "3  Country uses the 1993 System of National Accou...   \n",
              "4  Country uses the 1968 System of National Accou...   \n",
              "\n",
              "  Alternative conversion factor PPP survey year  \\\n",
              "0                           NaN             NaN   \n",
              "1                           NaN             NaN   \n",
              "2                       1991–96            2005   \n",
              "3                           NaN         Rolling   \n",
              "4                           NaN             NaN   \n",
              "\n",
              "              Balance of Payments Manual in use  \\\n",
              "0  IMF Balance of Payments Manual, 6th edition.   \n",
              "1                                           NaN   \n",
              "2  IMF Balance of Payments Manual, 6th edition.   \n",
              "3  IMF Balance of Payments Manual, 6th edition.   \n",
              "4                                           NaN   \n",
              "\n",
              "  External debt Reporting status       System of trade  \\\n",
              "0                            NaN  Special trade system   \n",
              "1                         Actual  General trade system   \n",
              "2                         Actual  Special trade system   \n",
              "3                         Actual  General trade system   \n",
              "4                            NaN  Special trade system   \n",
              "\n",
              "     Government Accounting concept           IMF data dissemination standard  \\\n",
              "0                              NaN                                       NaN   \n",
              "1  Consolidated central government  General Data Dissemination System (GDDS)   \n",
              "2     Budgetary central government  General Data Dissemination System (GDDS)   \n",
              "3     Budgetary central government  General Data Dissemination System (GDDS)   \n",
              "4                              NaN                                       NaN   \n",
              "\n",
              "                            Latest population census  \\\n",
              "0                                               2010   \n",
              "1                                               1979   \n",
              "2                                               1970   \n",
              "3                                               2011   \n",
              "4  2011. Population figures compiled from adminis...   \n",
              "\n",
              "                             Latest household survey  \\\n",
              "0                                                NaN   \n",
              "1  Multiple Indicator Cluster Survey (MICS), 2010/11   \n",
              "2               Malaria Indicator Survey (MIS), 2011   \n",
              "3       Demographic and Health Survey (DHS), 2008/09   \n",
              "4                                                NaN   \n",
              "\n",
              "   Source of most recent Income and expenditure data  \\\n",
              "0                                                NaN   \n",
              "1            Integrated household survey (IHS), 2008   \n",
              "2            Integrated household survey (IHS), 2008   \n",
              "3  Living Standards Measurement Study Survey (LSM...   \n",
              "4                                                NaN   \n",
              "\n",
              "  Vital registration complete Latest agricultural census  \\\n",
              "0                         Yes                        NaN   \n",
              "1                         NaN                    2013/14   \n",
              "2                         NaN                       2015   \n",
              "3                         Yes                       2012   \n",
              "4                         Yes                        NaN   \n",
              "\n",
              "   Latest industrial data  Latest trade data Latest water withdrawal data  \\\n",
              "0                     NaN             2012.0                          NaN   \n",
              "1                     NaN             2012.0                         2000   \n",
              "2                     NaN                NaN                         2005   \n",
              "3                  2010.0             2012.0                         2006   \n",
              "4                     NaN             2006.0                          NaN   \n",
              "\n",
              "   Unnamed: 31  \n",
              "0          NaN  \n",
              "1          NaN  \n",
              "2          NaN  \n",
              "3          NaN  \n",
              "4          NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c0c50a82-06bb-47c8-98b9-5a480d2037d6\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Country Code</th>\n",
              "      <th>Short Name</th>\n",
              "      <th>Table Name</th>\n",
              "      <th>Long Name</th>\n",
              "      <th>2-alpha code</th>\n",
              "      <th>Currency Unit</th>\n",
              "      <th>Special Notes</th>\n",
              "      <th>Region</th>\n",
              "      <th>Income Group</th>\n",
              "      <th>WB-2 code</th>\n",
              "      <th>National accounts base year</th>\n",
              "      <th>National accounts reference year</th>\n",
              "      <th>SNA price valuation</th>\n",
              "      <th>Lending category</th>\n",
              "      <th>Other groups</th>\n",
              "      <th>System of National Accounts</th>\n",
              "      <th>Alternative conversion factor</th>\n",
              "      <th>PPP survey year</th>\n",
              "      <th>Balance of Payments Manual in use</th>\n",
              "      <th>External debt Reporting status</th>\n",
              "      <th>System of trade</th>\n",
              "      <th>Government Accounting concept</th>\n",
              "      <th>IMF data dissemination standard</th>\n",
              "      <th>Latest population census</th>\n",
              "      <th>Latest household survey</th>\n",
              "      <th>Source of most recent Income and expenditure data</th>\n",
              "      <th>Vital registration complete</th>\n",
              "      <th>Latest agricultural census</th>\n",
              "      <th>Latest industrial data</th>\n",
              "      <th>Latest trade data</th>\n",
              "      <th>Latest water withdrawal data</th>\n",
              "      <th>Unnamed: 31</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ABW</td>\n",
              "      <td>Aruba</td>\n",
              "      <td>Aruba</td>\n",
              "      <td>Aruba</td>\n",
              "      <td>AW</td>\n",
              "      <td>Aruban florin</td>\n",
              "      <td>SNA data for 2000-2011 are updated from offici...</td>\n",
              "      <td>Latin America &amp; Caribbean</td>\n",
              "      <td>High income: nonOECD</td>\n",
              "      <td>AW</td>\n",
              "      <td>2000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Value added at basic prices (VAB)</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Country uses the 1993 System of National Accou...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>IMF Balance of Payments Manual, 6th edition.</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Special trade system</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2010</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Yes</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2012.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>AFG</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>Islamic State of Afghanistan</td>\n",
              "      <td>AF</td>\n",
              "      <td>Afghan afghani</td>\n",
              "      <td>Fiscal year end: March 20; reporting period fo...</td>\n",
              "      <td>South Asia</td>\n",
              "      <td>Low income</td>\n",
              "      <td>AF</td>\n",
              "      <td>2002/03</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Value added at basic prices (VAB)</td>\n",
              "      <td>IDA</td>\n",
              "      <td>HIPC</td>\n",
              "      <td>Country uses the 1993 System of National Accou...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Actual</td>\n",
              "      <td>General trade system</td>\n",
              "      <td>Consolidated central government</td>\n",
              "      <td>General Data Dissemination System (GDDS)</td>\n",
              "      <td>1979</td>\n",
              "      <td>Multiple Indicator Cluster Survey (MICS), 2010/11</td>\n",
              "      <td>Integrated household survey (IHS), 2008</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2013/14</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2012.0</td>\n",
              "      <td>2000</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>AGO</td>\n",
              "      <td>Angola</td>\n",
              "      <td>Angola</td>\n",
              "      <td>People's Republic of Angola</td>\n",
              "      <td>AO</td>\n",
              "      <td>Angolan kwanza</td>\n",
              "      <td>April 2013 database update: Based on IMF data,...</td>\n",
              "      <td>Sub-Saharan Africa</td>\n",
              "      <td>Upper middle income</td>\n",
              "      <td>AO</td>\n",
              "      <td>2002</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Value added at producer prices (VAP)</td>\n",
              "      <td>IBRD</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Country uses the 1993 System of National Accou...</td>\n",
              "      <td>1991–96</td>\n",
              "      <td>2005</td>\n",
              "      <td>IMF Balance of Payments Manual, 6th edition.</td>\n",
              "      <td>Actual</td>\n",
              "      <td>Special trade system</td>\n",
              "      <td>Budgetary central government</td>\n",
              "      <td>General Data Dissemination System (GDDS)</td>\n",
              "      <td>1970</td>\n",
              "      <td>Malaria Indicator Survey (MIS), 2011</td>\n",
              "      <td>Integrated household survey (IHS), 2008</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2015</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2005</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ALB</td>\n",
              "      <td>Albania</td>\n",
              "      <td>Albania</td>\n",
              "      <td>Republic of Albania</td>\n",
              "      <td>AL</td>\n",
              "      <td>Albanian lek</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Europe &amp; Central Asia</td>\n",
              "      <td>Upper middle income</td>\n",
              "      <td>AL</td>\n",
              "      <td>Original chained constant price data are resca...</td>\n",
              "      <td>1996.0</td>\n",
              "      <td>Value added at basic prices (VAB)</td>\n",
              "      <td>IBRD</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Country uses the 1993 System of National Accou...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Rolling</td>\n",
              "      <td>IMF Balance of Payments Manual, 6th edition.</td>\n",
              "      <td>Actual</td>\n",
              "      <td>General trade system</td>\n",
              "      <td>Budgetary central government</td>\n",
              "      <td>General Data Dissemination System (GDDS)</td>\n",
              "      <td>2011</td>\n",
              "      <td>Demographic and Health Survey (DHS), 2008/09</td>\n",
              "      <td>Living Standards Measurement Study Survey (LSM...</td>\n",
              "      <td>Yes</td>\n",
              "      <td>2012</td>\n",
              "      <td>2010.0</td>\n",
              "      <td>2012.0</td>\n",
              "      <td>2006</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>AND</td>\n",
              "      <td>Andorra</td>\n",
              "      <td>Andorra</td>\n",
              "      <td>Principality of Andorra</td>\n",
              "      <td>AD</td>\n",
              "      <td>Euro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Europe &amp; Central Asia</td>\n",
              "      <td>High income: nonOECD</td>\n",
              "      <td>AD</td>\n",
              "      <td>1990</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Country uses the 1968 System of National Accou...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Special trade system</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2011. Population figures compiled from adminis...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Yes</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2006.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c0c50a82-06bb-47c8-98b9-5a480d2037d6')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-c0c50a82-06bb-47c8-98b9-5a480d2037d6 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-c0c50a82-06bb-47c8-98b9-5a480d2037d6');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "0mjCCGatq0ee"
      },
      "execution_count": 80,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "working_dir_path=\"/content/drive/MyDrive/Colab Notebooks/module-1 Python for Data Science/python/Eda-worldbank global education analysis/data/EdStatsData.csv\"\n",
        "df3=pd.read_csv(working_dir_path)"
      ],
      "metadata": {
        "id": "F09u0xHgTpad"
      },
      "execution_count": 81,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df3.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 721
        },
        "id": "b-2YmnhJWVx-",
        "outputId": "7e923cbe-7f54-4563-dd50-4dcacae06d6b"
      },
      "execution_count": 82,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  Country Name Country Code  \\\n",
              "0   Arab World          ARB   \n",
              "1   Arab World          ARB   \n",
              "2   Arab World          ARB   \n",
              "3   Arab World          ARB   \n",
              "4   Arab World          ARB   \n",
              "\n",
              "                                      Indicator Name  Indicator Code  \\\n",
              "0  Adjusted net enrolment rate, lower secondary, ...      UIS.NERA.2   \n",
              "1  Adjusted net enrolment rate, lower secondary, ...    UIS.NERA.2.F   \n",
              "2  Adjusted net enrolment rate, lower secondary, ...  UIS.NERA.2.GPI   \n",
              "3  Adjusted net enrolment rate, lower secondary, ...    UIS.NERA.2.M   \n",
              "4  Adjusted net enrolment rate, primary, both sex...     SE.PRM.TENR   \n",
              "\n",
              "        1970       1971       1972       1973       1974      1975       1976  \\\n",
              "0        NaN        NaN        NaN        NaN        NaN       NaN        NaN   \n",
              "1        NaN        NaN        NaN        NaN        NaN       NaN        NaN   \n",
              "2        NaN        NaN        NaN        NaN        NaN       NaN        NaN   \n",
              "3        NaN        NaN        NaN        NaN        NaN       NaN        NaN   \n",
              "4  54.822121  54.894138  56.209438  57.267109  57.991138  59.36554  60.999962   \n",
              "\n",
              "       1977      1978       1979       1980       1981       1982       1983  \\\n",
              "0       NaN       NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "1       NaN       NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "2       NaN       NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "3       NaN       NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "4  61.92268  62.69342  64.383186  65.617767  66.085152  66.608139  67.290451   \n",
              "\n",
              "        1984       1985       1986      1987       1988       1989       1990  \\\n",
              "0        NaN        NaN        NaN       NaN        NaN        NaN        NaN   \n",
              "1        NaN        NaN        NaN       NaN        NaN        NaN        NaN   \n",
              "2        NaN        NaN        NaN       NaN        NaN        NaN        NaN   \n",
              "3        NaN        NaN        NaN       NaN        NaN        NaN        NaN   \n",
              "4  68.510094  69.033211  69.944908  71.04187  71.693779  71.699097  71.995819   \n",
              "\n",
              "        1991       1992       1993       1994      1995       1996       1997  \\\n",
              "0        NaN        NaN        NaN        NaN       NaN        NaN        NaN   \n",
              "1        NaN        NaN        NaN        NaN       NaN        NaN        NaN   \n",
              "2        NaN        NaN        NaN        NaN       NaN        NaN        NaN   \n",
              "3        NaN        NaN        NaN        NaN       NaN        NaN        NaN   \n",
              "4  72.602837  70.032722  70.464821  72.645683  71.81176  73.903511  74.425201   \n",
              "\n",
              "        1998       1999       2000       2001       2002       2003  \\\n",
              "0        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "1        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "2        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "3        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "4  75.110817  76.254318  77.245682  78.800522  80.051399  80.805389   \n",
              "\n",
              "        2004       2005       2006       2007       2008       2009  \\\n",
              "0        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "1        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "2        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "3        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "4  81.607063  82.489487  82.685509  83.280342  84.011871  84.195961   \n",
              "\n",
              "        2010      2011       2012      2013       2014  2015  2016  2017  \\\n",
              "0        NaN       NaN        NaN       NaN        NaN   NaN   NaN   NaN   \n",
              "1        NaN       NaN        NaN       NaN        NaN   NaN   NaN   NaN   \n",
              "2        NaN       NaN        NaN       NaN        NaN   NaN   NaN   NaN   \n",
              "3        NaN       NaN        NaN       NaN        NaN   NaN   NaN   NaN   \n",
              "4  85.211998  85.24514  86.101669  85.51194  85.320152   NaN   NaN   NaN   \n",
              "\n",
              "   2020  2025  2030  2035  2040  2045  2050  2055  2060  2065  2070  2075  \\\n",
              "0   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "1   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "2   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "3   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "4   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "\n",
              "   2080  2085  2090  2095  2100  Unnamed: 69  \n",
              "0   NaN   NaN   NaN   NaN   NaN          NaN  \n",
              "1   NaN   NaN   NaN   NaN   NaN          NaN  \n",
              "2   NaN   NaN   NaN   NaN   NaN          NaN  \n",
              "3   NaN   NaN   NaN   NaN   NaN          NaN  \n",
              "4   NaN   NaN   NaN   NaN   NaN          NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-9d89cee7-cfdf-4392-9f97-a634f50454be\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Country Name</th>\n",
              "      <th>Country Code</th>\n",
              "      <th>Indicator Name</th>\n",
              "      <th>Indicator Code</th>\n",
              "      <th>1970</th>\n",
              "      <th>1971</th>\n",
              "      <th>1972</th>\n",
              "      <th>1973</th>\n",
              "      <th>1974</th>\n",
              "      <th>1975</th>\n",
              "      <th>1976</th>\n",
              "      <th>1977</th>\n",
              "      <th>1978</th>\n",
              "      <th>1979</th>\n",
              "      <th>1980</th>\n",
              "      <th>1981</th>\n",
              "      <th>1982</th>\n",
              "      <th>1983</th>\n",
              "      <th>1984</th>\n",
              "      <th>1985</th>\n",
              "      <th>1986</th>\n",
              "      <th>1987</th>\n",
              "      <th>1988</th>\n",
              "      <th>1989</th>\n",
              "      <th>1990</th>\n",
              "      <th>1991</th>\n",
              "      <th>1992</th>\n",
              "      <th>1993</th>\n",
              "      <th>1994</th>\n",
              "      <th>1995</th>\n",
              "      <th>1996</th>\n",
              "      <th>1997</th>\n",
              "      <th>1998</th>\n",
              "      <th>1999</th>\n",
              "      <th>2000</th>\n",
              "      <th>2001</th>\n",
              "      <th>2002</th>\n",
              "      <th>2003</th>\n",
              "      <th>2004</th>\n",
              "      <th>2005</th>\n",
              "      <th>2006</th>\n",
              "      <th>2007</th>\n",
              "      <th>2008</th>\n",
              "      <th>2009</th>\n",
              "      <th>2010</th>\n",
              "      <th>2011</th>\n",
              "      <th>2012</th>\n",
              "      <th>2013</th>\n",
              "      <th>2014</th>\n",
              "      <th>2015</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2020</th>\n",
              "      <th>2025</th>\n",
              "      <th>2030</th>\n",
              "      <th>2035</th>\n",
              "      <th>2040</th>\n",
              "      <th>2045</th>\n",
              "      <th>2050</th>\n",
              "      <th>2055</th>\n",
              "      <th>2060</th>\n",
              "      <th>2065</th>\n",
              "      <th>2070</th>\n",
              "      <th>2075</th>\n",
              "      <th>2080</th>\n",
              "      <th>2085</th>\n",
              "      <th>2090</th>\n",
              "      <th>2095</th>\n",
              "      <th>2100</th>\n",
              "      <th>Unnamed: 69</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2.F</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2.GPI</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2.M</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, primary, both sex...</td>\n",
              "      <td>SE.PRM.TENR</td>\n",
              "      <td>54.822121</td>\n",
              "      <td>54.894138</td>\n",
              "      <td>56.209438</td>\n",
              "      <td>57.267109</td>\n",
              "      <td>57.991138</td>\n",
              "      <td>59.36554</td>\n",
              "      <td>60.999962</td>\n",
              "      <td>61.92268</td>\n",
              "      <td>62.69342</td>\n",
              "      <td>64.383186</td>\n",
              "      <td>65.617767</td>\n",
              "      <td>66.085152</td>\n",
              "      <td>66.608139</td>\n",
              "      <td>67.290451</td>\n",
              "      <td>68.510094</td>\n",
              "      <td>69.033211</td>\n",
              "      <td>69.944908</td>\n",
              "      <td>71.04187</td>\n",
              "      <td>71.693779</td>\n",
              "      <td>71.699097</td>\n",
              "      <td>71.995819</td>\n",
              "      <td>72.602837</td>\n",
              "      <td>70.032722</td>\n",
              "      <td>70.464821</td>\n",
              "      <td>72.645683</td>\n",
              "      <td>71.81176</td>\n",
              "      <td>73.903511</td>\n",
              "      <td>74.425201</td>\n",
              "      <td>75.110817</td>\n",
              "      <td>76.254318</td>\n",
              "      <td>77.245682</td>\n",
              "      <td>78.800522</td>\n",
              "      <td>80.051399</td>\n",
              "      <td>80.805389</td>\n",
              "      <td>81.607063</td>\n",
              "      <td>82.489487</td>\n",
              "      <td>82.685509</td>\n",
              "      <td>83.280342</td>\n",
              "      <td>84.011871</td>\n",
              "      <td>84.195961</td>\n",
              "      <td>85.211998</td>\n",
              "      <td>85.24514</td>\n",
              "      <td>86.101669</td>\n",
              "      <td>85.51194</td>\n",
              "      <td>85.320152</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9d89cee7-cfdf-4392-9f97-a634f50454be')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9d89cee7-cfdf-4392-9f97-a634f50454be button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9d89cee7-cfdf-4392-9f97-a634f50454be');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pFAChArFWV8Y",
        "outputId": "2b50c49f-bc07-4e7b-859b-969cc67c08b5"
      },
      "execution_count": 83,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(886930, 70)"
            ]
          },
          "metadata": {},
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "working_dir_path=\"/content/drive/MyDrive/Colab Notebooks/module-1 Python for Data Science/python/Eda-worldbank global education analysis/data/EdStatsFootNote.csv\"\n",
        "df4=pd.read_csv(working_dir_path)"
      ],
      "metadata": {
        "id": "UYmYeOYVWV_C"
      },
      "execution_count": 84,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df4.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "a8d1PrA2WWBW",
        "outputId": "4a1328d2-f200-4487-aa0a-cb27a87dbbb0"
      },
      "execution_count": 85,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  CountryCode      SeriesCode    Year          DESCRIPTION  Unnamed: 4\n",
              "0         ABW  SE.PRE.ENRL.FE  YR2001  Country estimation.         NaN\n",
              "1         ABW  SE.TER.TCHR.FE  YR2005  Country estimation.         NaN\n",
              "2         ABW  SE.PRE.TCHR.FE  YR2000  Country estimation.         NaN\n",
              "3         ABW  SE.SEC.ENRL.GC  YR2004  Country estimation.         NaN\n",
              "4         ABW     SE.PRE.TCHR  YR2006  Country estimation.         NaN"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-41552fa7-68d3-4f22-9f5f-96a84f5b05b8\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>CountryCode</th>\n",
              "      <th>SeriesCode</th>\n",
              "      <th>Year</th>\n",
              "      <th>DESCRIPTION</th>\n",
              "      <th>Unnamed: 4</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ABW</td>\n",
              "      <td>SE.PRE.ENRL.FE</td>\n",
              "      <td>YR2001</td>\n",
              "      <td>Country estimation.</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ABW</td>\n",
              "      <td>SE.TER.TCHR.FE</td>\n",
              "      <td>YR2005</td>\n",
              "      <td>Country estimation.</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ABW</td>\n",
              "      <td>SE.PRE.TCHR.FE</td>\n",
              "      <td>YR2000</td>\n",
              "      <td>Country estimation.</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ABW</td>\n",
              "      <td>SE.SEC.ENRL.GC</td>\n",
              "      <td>YR2004</td>\n",
              "      <td>Country estimation.</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ABW</td>\n",
              "      <td>SE.PRE.TCHR</td>\n",
              "      <td>YR2006</td>\n",
              "      <td>Country estimation.</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-41552fa7-68d3-4f22-9f5f-96a84f5b05b8')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-41552fa7-68d3-4f22-9f5f-96a84f5b05b8 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-41552fa7-68d3-4f22-9f5f-96a84f5b05b8');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 85
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df4.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ER_K2NMtWWE8",
        "outputId": "000316e3-115c-4891-97a7-8fbb5ea68dfc"
      },
      "execution_count": 86,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(643638, 5)"
            ]
          },
          "metadata": {},
          "execution_count": 86
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "working_dir_path=\"/content/drive/MyDrive/Colab Notebooks/module-1 Python for Data Science/python/Eda-worldbank global education analysis/data/EdStatsSeries.csv\"\n",
        "df5=pd.read_csv(working_dir_path)"
      ],
      "metadata": {
        "id": "X_NftRzeWWHe"
      },
      "execution_count": 87,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df5.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 704
        },
        "id": "WzFAwnX7WWKs",
        "outputId": "f6e4e196-8fe0-4b7c-a497-7efabd90973a"
      },
      "execution_count": 88,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "           Series Code       Topic  \\\n",
              "0  BAR.NOED.1519.FE.ZS  Attainment   \n",
              "1     BAR.NOED.1519.ZS  Attainment   \n",
              "2  BAR.NOED.15UP.FE.ZS  Attainment   \n",
              "3     BAR.NOED.15UP.ZS  Attainment   \n",
              "4  BAR.NOED.2024.FE.ZS  Attainment   \n",
              "\n",
              "                                      Indicator Name  \\\n",
              "0  Barro-Lee: Percentage of female population age...   \n",
              "1  Barro-Lee: Percentage of population age 15-19 ...   \n",
              "2  Barro-Lee: Percentage of female population age...   \n",
              "3  Barro-Lee: Percentage of population age 15+ wi...   \n",
              "4  Barro-Lee: Percentage of female population age...   \n",
              "\n",
              "                                    Short definition  \\\n",
              "0  Percentage of female population age 15-19 with...   \n",
              "1  Percentage of population age 15-19 with no edu...   \n",
              "2  Percentage of female population age 15+ with n...   \n",
              "3  Percentage of population age 15+ with no educa...   \n",
              "4  Percentage of female population age 20-24 with...   \n",
              "\n",
              "                                     Long definition  Unit of measure  \\\n",
              "0  Percentage of female population age 15-19 with...              NaN   \n",
              "1  Percentage of population age 15-19 with no edu...              NaN   \n",
              "2  Percentage of female population age 15+ with n...              NaN   \n",
              "3  Percentage of population age 15+ with no educa...              NaN   \n",
              "4  Percentage of female population age 20-24 with...              NaN   \n",
              "\n",
              "  Periodicity Base Period Other notes Aggregation method  \\\n",
              "0         NaN         NaN         NaN                NaN   \n",
              "1         NaN         NaN         NaN                NaN   \n",
              "2         NaN         NaN         NaN                NaN   \n",
              "3         NaN         NaN         NaN                NaN   \n",
              "4         NaN         NaN         NaN                NaN   \n",
              "\n",
              "  Limitations and exceptions  Notes from original source General comments  \\\n",
              "0                        NaN                         NaN              NaN   \n",
              "1                        NaN                         NaN              NaN   \n",
              "2                        NaN                         NaN              NaN   \n",
              "3                        NaN                         NaN              NaN   \n",
              "4                        NaN                         NaN              NaN   \n",
              "\n",
              "                                              Source  \\\n",
              "0  Robert J. Barro and Jong-Wha Lee: http://www.b...   \n",
              "1  Robert J. Barro and Jong-Wha Lee: http://www.b...   \n",
              "2  Robert J. Barro and Jong-Wha Lee: http://www.b...   \n",
              "3  Robert J. Barro and Jong-Wha Lee: http://www.b...   \n",
              "4  Robert J. Barro and Jong-Wha Lee: http://www.b...   \n",
              "\n",
              "  Statistical concept and methodology Development relevance  \\\n",
              "0                                 NaN                   NaN   \n",
              "1                                 NaN                   NaN   \n",
              "2                                 NaN                   NaN   \n",
              "3                                 NaN                   NaN   \n",
              "4                                 NaN                   NaN   \n",
              "\n",
              "  Related source links  Other web links  Related indicators  License Type  \\\n",
              "0                  NaN              NaN                 NaN           NaN   \n",
              "1                  NaN              NaN                 NaN           NaN   \n",
              "2                  NaN              NaN                 NaN           NaN   \n",
              "3                  NaN              NaN                 NaN           NaN   \n",
              "4                  NaN              NaN                 NaN           NaN   \n",
              "\n",
              "   Unnamed: 20  \n",
              "0          NaN  \n",
              "1          NaN  \n",
              "2          NaN  \n",
              "3          NaN  \n",
              "4          NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-87a64713-8d65-49bf-9456-ce51185f2820\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Series Code</th>\n",
              "      <th>Topic</th>\n",
              "      <th>Indicator Name</th>\n",
              "      <th>Short definition</th>\n",
              "      <th>Long definition</th>\n",
              "      <th>Unit of measure</th>\n",
              "      <th>Periodicity</th>\n",
              "      <th>Base Period</th>\n",
              "      <th>Other notes</th>\n",
              "      <th>Aggregation method</th>\n",
              "      <th>Limitations and exceptions</th>\n",
              "      <th>Notes from original source</th>\n",
              "      <th>General comments</th>\n",
              "      <th>Source</th>\n",
              "      <th>Statistical concept and methodology</th>\n",
              "      <th>Development relevance</th>\n",
              "      <th>Related source links</th>\n",
              "      <th>Other web links</th>\n",
              "      <th>Related indicators</th>\n",
              "      <th>License Type</th>\n",
              "      <th>Unnamed: 20</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>BAR.NOED.1519.FE.ZS</td>\n",
              "      <td>Attainment</td>\n",
              "      <td>Barro-Lee: Percentage of female population age...</td>\n",
              "      <td>Percentage of female population age 15-19 with...</td>\n",
              "      <td>Percentage of female population age 15-19 with...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Robert J. Barro and Jong-Wha Lee: http://www.b...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>BAR.NOED.1519.ZS</td>\n",
              "      <td>Attainment</td>\n",
              "      <td>Barro-Lee: Percentage of population age 15-19 ...</td>\n",
              "      <td>Percentage of population age 15-19 with no edu...</td>\n",
              "      <td>Percentage of population age 15-19 with no edu...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Robert J. Barro and Jong-Wha Lee: http://www.b...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>BAR.NOED.15UP.FE.ZS</td>\n",
              "      <td>Attainment</td>\n",
              "      <td>Barro-Lee: Percentage of female population age...</td>\n",
              "      <td>Percentage of female population age 15+ with n...</td>\n",
              "      <td>Percentage of female population age 15+ with n...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Robert J. Barro and Jong-Wha Lee: http://www.b...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>BAR.NOED.15UP.ZS</td>\n",
              "      <td>Attainment</td>\n",
              "      <td>Barro-Lee: Percentage of population age 15+ wi...</td>\n",
              "      <td>Percentage of population age 15+ with no educa...</td>\n",
              "      <td>Percentage of population age 15+ with no educa...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Robert J. Barro and Jong-Wha Lee: http://www.b...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>BAR.NOED.2024.FE.ZS</td>\n",
              "      <td>Attainment</td>\n",
              "      <td>Barro-Lee: Percentage of female population age...</td>\n",
              "      <td>Percentage of female population age 20-24 with...</td>\n",
              "      <td>Percentage of female population age 20-24 with...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Robert J. Barro and Jong-Wha Lee: http://www.b...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-87a64713-8d65-49bf-9456-ce51185f2820')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-87a64713-8d65-49bf-9456-ce51185f2820 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-87a64713-8d65-49bf-9456-ce51185f2820');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 88
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df5.tail()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 704
        },
        "id": "ZoQqNSQnXCQd",
        "outputId": "3c012955-bb25-4282-ba5c-fd9903b7d2c9"
      },
      "execution_count": 89,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                      Series Code         Topic  \\\n",
              "3660    UIS.XUNIT.USCONST.3.FSGOV  Expenditures   \n",
              "3661    UIS.XUNIT.USCONST.4.FSGOV  Expenditures   \n",
              "3662   UIS.XUNIT.USCONST.56.FSGOV  Expenditures   \n",
              "3663  XGDP.23.FSGOV.FDINSTADM.FFD  Expenditures   \n",
              "3664  XGDP.56.FSGOV.FDINSTADM.FFD  Expenditures   \n",
              "\n",
              "                                         Indicator Name  \\\n",
              "3660  Government expenditure per upper secondary stu...   \n",
              "3661  Government expenditure per post-secondary non-...   \n",
              "3662  Government expenditure per tertiary student (c...   \n",
              "3663  Government expenditure in secondary institutio...   \n",
              "3664  Government expenditure in tertiary institution...   \n",
              "\n",
              "                                       Short definition  \\\n",
              "3660                                                NaN   \n",
              "3661                                                NaN   \n",
              "3662                                                NaN   \n",
              "3663  Total general (local, regional and central) go...   \n",
              "3664  Total general (local, regional and central) go...   \n",
              "\n",
              "                                        Long definition  Unit of measure  \\\n",
              "3660  Average total (current, capital and transfers)...              NaN   \n",
              "3661  Average total (current, capital and transfers)...              NaN   \n",
              "3662  Average total (current, capital and transfers)...              NaN   \n",
              "3663  Total general (local, regional and central) go...              NaN   \n",
              "3664  Total general (local, regional and central) go...              NaN   \n",
              "\n",
              "     Periodicity Base Period Other notes Aggregation method  \\\n",
              "3660         NaN         NaN         NaN                NaN   \n",
              "3661         NaN         NaN         NaN                NaN   \n",
              "3662         NaN         NaN         NaN                NaN   \n",
              "3663         NaN         NaN   Secondary                NaN   \n",
              "3664         NaN         NaN    Tertiary                NaN   \n",
              "\n",
              "     Limitations and exceptions  Notes from original source General comments  \\\n",
              "3660                        NaN                         NaN              NaN   \n",
              "3661                        NaN                         NaN              NaN   \n",
              "3662                        NaN                         NaN              NaN   \n",
              "3663                        NaN                         NaN              NaN   \n",
              "3664                        NaN                         NaN              NaN   \n",
              "\n",
              "                               Source Statistical concept and methodology  \\\n",
              "3660  UNESCO Institute for Statistics                                 NaN   \n",
              "3661  UNESCO Institute for Statistics                                 NaN   \n",
              "3662  UNESCO Institute for Statistics                                 NaN   \n",
              "3663  UNESCO Institute for Statistics                                 NaN   \n",
              "3664  UNESCO Institute for Statistics                                 NaN   \n",
              "\n",
              "     Development relevance Related source links  Other web links  \\\n",
              "3660                   NaN                  NaN              NaN   \n",
              "3661                   NaN                  NaN              NaN   \n",
              "3662                   NaN                  NaN              NaN   \n",
              "3663                   NaN                  NaN              NaN   \n",
              "3664                   NaN                  NaN              NaN   \n",
              "\n",
              "      Related indicators  License Type  Unnamed: 20  \n",
              "3660                 NaN           NaN          NaN  \n",
              "3661                 NaN           NaN          NaN  \n",
              "3662                 NaN           NaN          NaN  \n",
              "3663                 NaN           NaN          NaN  \n",
              "3664                 NaN           NaN          NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-cd1f7f4a-644a-4d83-97eb-6a489f61bfd6\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Series Code</th>\n",
              "      <th>Topic</th>\n",
              "      <th>Indicator Name</th>\n",
              "      <th>Short definition</th>\n",
              "      <th>Long definition</th>\n",
              "      <th>Unit of measure</th>\n",
              "      <th>Periodicity</th>\n",
              "      <th>Base Period</th>\n",
              "      <th>Other notes</th>\n",
              "      <th>Aggregation method</th>\n",
              "      <th>Limitations and exceptions</th>\n",
              "      <th>Notes from original source</th>\n",
              "      <th>General comments</th>\n",
              "      <th>Source</th>\n",
              "      <th>Statistical concept and methodology</th>\n",
              "      <th>Development relevance</th>\n",
              "      <th>Related source links</th>\n",
              "      <th>Other web links</th>\n",
              "      <th>Related indicators</th>\n",
              "      <th>License Type</th>\n",
              "      <th>Unnamed: 20</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3660</th>\n",
              "      <td>UIS.XUNIT.USCONST.3.FSGOV</td>\n",
              "      <td>Expenditures</td>\n",
              "      <td>Government expenditure per upper secondary stu...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Average total (current, capital and transfers)...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>UNESCO Institute for Statistics</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3661</th>\n",
              "      <td>UIS.XUNIT.USCONST.4.FSGOV</td>\n",
              "      <td>Expenditures</td>\n",
              "      <td>Government expenditure per post-secondary non-...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Average total (current, capital and transfers)...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>UNESCO Institute for Statistics</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3662</th>\n",
              "      <td>UIS.XUNIT.USCONST.56.FSGOV</td>\n",
              "      <td>Expenditures</td>\n",
              "      <td>Government expenditure per tertiary student (c...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Average total (current, capital and transfers)...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>UNESCO Institute for Statistics</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3663</th>\n",
              "      <td>XGDP.23.FSGOV.FDINSTADM.FFD</td>\n",
              "      <td>Expenditures</td>\n",
              "      <td>Government expenditure in secondary institutio...</td>\n",
              "      <td>Total general (local, regional and central) go...</td>\n",
              "      <td>Total general (local, regional and central) go...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Secondary</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>UNESCO Institute for Statistics</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3664</th>\n",
              "      <td>XGDP.56.FSGOV.FDINSTADM.FFD</td>\n",
              "      <td>Expenditures</td>\n",
              "      <td>Government expenditure in tertiary institution...</td>\n",
              "      <td>Total general (local, regional and central) go...</td>\n",
              "      <td>Total general (local, regional and central) go...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Tertiary</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>UNESCO Institute for Statistics</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-cd1f7f4a-644a-4d83-97eb-6a489f61bfd6')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-cd1f7f4a-644a-4d83-97eb-6a489f61bfd6 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-cd1f7f4a-644a-4d83-97eb-6a489f61bfd6');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1.shape"
      ],
      "metadata": {
        "id": "7DF-MuZkWWNp",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "74dae9a6-7c03-4505-e1c3-87eee13537f6"
      },
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(613, 4)"
            ]
          },
          "metadata": {},
          "execution_count": 90
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1.describe()"
      ],
      "metadata": {
        "id": "b9pD_onDWWR9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "outputId": "98c1ba5e-e21b-4674-a1ca-7189b9ada28e"
      },
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Unnamed: 3\n",
              "count         0.0\n",
              "mean          NaN\n",
              "std           NaN\n",
              "min           NaN\n",
              "25%           NaN\n",
              "50%           NaN\n",
              "75%           NaN\n",
              "max           NaN"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-f1fee407-7b2b-40dd-867e-6f86a9a34f75\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Unnamed: 3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f1fee407-7b2b-40dd-867e-6f86a9a34f75')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-f1fee407-7b2b-40dd-867e-6f86a9a34f75 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-f1fee407-7b2b-40dd-867e-6f86a9a34f75');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 91
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "F4iqUqcavs6Q",
        "outputId": "e3f97f3b-94e0-4d0a-9fd6-b007127de3e4"
      },
      "execution_count": 92,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 613 entries, 0 to 612\n",
            "Data columns (total 4 columns):\n",
            " #   Column       Non-Null Count  Dtype  \n",
            "---  ------       --------------  -----  \n",
            " 0   CountryCode  613 non-null    object \n",
            " 1   SeriesCode   613 non-null    object \n",
            " 2   DESCRIPTION  613 non-null    object \n",
            " 3   Unnamed: 3   0 non-null      float64\n",
            "dtypes: float64(1), object(3)\n",
            "memory usage: 19.3+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1.drop('Unnamed: 3', axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "nqsFl9VYvw2v"
      },
      "execution_count": 93,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df1.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "GaRyHNINwIC2",
        "outputId": "f06692e1-9912-487f-cd33-e3056551d820"
      },
      "execution_count": 94,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  CountryCode         SeriesCode  \\\n",
              "0         ABW        SP.POP.TOTL   \n",
              "1         ABW        SP.POP.GROW   \n",
              "2         AFG        SP.POP.GROW   \n",
              "3         AFG  NY.GDP.PCAP.PP.CD   \n",
              "4         AFG        SP.POP.TOTL   \n",
              "\n",
              "                                         DESCRIPTION  \n",
              "0  Data sources : United Nations World Population...  \n",
              "1  Data sources: United Nations World Population ...  \n",
              "2  Data sources: United Nations World Population ...  \n",
              "3                 Estimates are based on regression.  \n",
              "4  Data sources : United Nations World Population...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-81ea0777-6d07-4e79-9510-b91944a9b077\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>CountryCode</th>\n",
              "      <th>SeriesCode</th>\n",
              "      <th>DESCRIPTION</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ABW</td>\n",
              "      <td>SP.POP.TOTL</td>\n",
              "      <td>Data sources : United Nations World Population...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ABW</td>\n",
              "      <td>SP.POP.GROW</td>\n",
              "      <td>Data sources: United Nations World Population ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>AFG</td>\n",
              "      <td>SP.POP.GROW</td>\n",
              "      <td>Data sources: United Nations World Population ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>AFG</td>\n",
              "      <td>NY.GDP.PCAP.PP.CD</td>\n",
              "      <td>Estimates are based on regression.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>AFG</td>\n",
              "      <td>SP.POP.TOTL</td>\n",
              "      <td>Data sources : United Nations World Population...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-81ea0777-6d07-4e79-9510-b91944a9b077')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-81ea0777-6d07-4e79-9510-b91944a9b077 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-81ea0777-6d07-4e79-9510-b91944a9b077');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 94
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df2.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UHJEQK9qw131",
        "outputId": "38caa5be-8abe-4bb4-a2dd-d4f11f0afd66"
      },
      "execution_count": 95,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(241, 32)"
            ]
          },
          "metadata": {},
          "execution_count": 95
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df2.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "CadGDG2Mw7AD",
        "outputId": "9527e9be-5021-4e0f-c275-d2a2a0ff3764"
      },
      "execution_count": 96,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       National accounts reference year  Latest industrial data  \\\n",
              "count                          32.00000              107.000000   \n",
              "mean                         2001.53125             2008.102804   \n",
              "std                             5.24856                2.616834   \n",
              "min                          1987.00000             2000.000000   \n",
              "25%                          1996.75000             2007.500000   \n",
              "50%                          2002.00000             2009.000000   \n",
              "75%                          2005.00000             2010.000000   \n",
              "max                          2012.00000             2010.000000   \n",
              "\n",
              "       Latest trade data  Unnamed: 31  \n",
              "count         185.000000          0.0  \n",
              "mean         2010.994595          NaN  \n",
              "std             2.569675          NaN  \n",
              "min          1995.000000          NaN  \n",
              "25%          2011.000000          NaN  \n",
              "50%          2012.000000          NaN  \n",
              "75%          2012.000000          NaN  \n",
              "max          2012.000000          NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-439a432c-462b-4d09-973a-91624dfc1f25\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>National accounts reference year</th>\n",
              "      <th>Latest industrial data</th>\n",
              "      <th>Latest trade data</th>\n",
              "      <th>Unnamed: 31</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>32.00000</td>\n",
              "      <td>107.000000</td>\n",
              "      <td>185.000000</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>2001.53125</td>\n",
              "      <td>2008.102804</td>\n",
              "      <td>2010.994595</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>5.24856</td>\n",
              "      <td>2.616834</td>\n",
              "      <td>2.569675</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1987.00000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>1995.000000</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>1996.75000</td>\n",
              "      <td>2007.500000</td>\n",
              "      <td>2011.000000</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>2002.00000</td>\n",
              "      <td>2009.000000</td>\n",
              "      <td>2012.000000</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2005.00000</td>\n",
              "      <td>2010.000000</td>\n",
              "      <td>2012.000000</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2012.00000</td>\n",
              "      <td>2010.000000</td>\n",
              "      <td>2012.000000</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-439a432c-462b-4d09-973a-91624dfc1f25')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-439a432c-462b-4d09-973a-91624dfc1f25 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-439a432c-462b-4d09-973a-91624dfc1f25');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 96
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df2.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EKWen4vJxD3T",
        "outputId": "477bf401-5c1d-4754-ccac-4b44390e9fdb"
      },
      "execution_count": 97,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 241 entries, 0 to 240\n",
            "Data columns (total 32 columns):\n",
            " #   Column                                             Non-Null Count  Dtype  \n",
            "---  ------                                             --------------  -----  \n",
            " 0   Country Code                                       241 non-null    object \n",
            " 1   Short Name                                         241 non-null    object \n",
            " 2   Table Name                                         241 non-null    object \n",
            " 3   Long Name                                          241 non-null    object \n",
            " 4   2-alpha code                                       238 non-null    object \n",
            " 5   Currency Unit                                      215 non-null    object \n",
            " 6   Special Notes                                      145 non-null    object \n",
            " 7   Region                                             214 non-null    object \n",
            " 8   Income Group                                       214 non-null    object \n",
            " 9   WB-2 code                                          240 non-null    object \n",
            " 10  National accounts base year                        205 non-null    object \n",
            " 11  National accounts reference year                   32 non-null     float64\n",
            " 12  SNA price valuation                                197 non-null    object \n",
            " 13  Lending category                                   144 non-null    object \n",
            " 14  Other groups                                       58 non-null     object \n",
            " 15  System of National Accounts                        215 non-null    object \n",
            " 16  Alternative conversion factor                      47 non-null     object \n",
            " 17  PPP survey year                                    145 non-null    object \n",
            " 18  Balance of Payments Manual in use                  181 non-null    object \n",
            " 19  External debt Reporting status                     124 non-null    object \n",
            " 20  System of trade                                    200 non-null    object \n",
            " 21  Government Accounting concept                      161 non-null    object \n",
            " 22  IMF data dissemination standard                    181 non-null    object \n",
            " 23  Latest population census                           213 non-null    object \n",
            " 24  Latest household survey                            141 non-null    object \n",
            " 25  Source of most recent Income and expenditure data  160 non-null    object \n",
            " 26  Vital registration complete                        111 non-null    object \n",
            " 27  Latest agricultural census                         142 non-null    object \n",
            " 28  Latest industrial data                             107 non-null    float64\n",
            " 29  Latest trade data                                  185 non-null    float64\n",
            " 30  Latest water withdrawal data                       179 non-null    object \n",
            " 31  Unnamed: 31                                        0 non-null      float64\n",
            "dtypes: float64(4), object(28)\n",
            "memory usage: 60.4+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df2.drop('Unnamed: 31', axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "SnVs-_dLxNKW"
      },
      "execution_count": 98,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df2.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 877
        },
        "id": "Trwzl3Zoxjq4",
        "outputId": "c02482a5-24c0-4a93-9cf7-1772212bce37"
      },
      "execution_count": 99,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  Country Code   Short Name   Table Name                     Long Name  \\\n",
              "0          ABW        Aruba        Aruba                         Aruba   \n",
              "1          AFG  Afghanistan  Afghanistan  Islamic State of Afghanistan   \n",
              "2          AGO       Angola       Angola   People's Republic of Angola   \n",
              "3          ALB      Albania      Albania           Republic of Albania   \n",
              "4          AND      Andorra      Andorra       Principality of Andorra   \n",
              "\n",
              "  2-alpha code   Currency Unit  \\\n",
              "0           AW   Aruban florin   \n",
              "1           AF  Afghan afghani   \n",
              "2           AO  Angolan kwanza   \n",
              "3           AL    Albanian lek   \n",
              "4           AD            Euro   \n",
              "\n",
              "                                       Special Notes  \\\n",
              "0  SNA data for 2000-2011 are updated from offici...   \n",
              "1  Fiscal year end: March 20; reporting period fo...   \n",
              "2  April 2013 database update: Based on IMF data,...   \n",
              "3                                                NaN   \n",
              "4                                                NaN   \n",
              "\n",
              "                      Region          Income Group WB-2 code  \\\n",
              "0  Latin America & Caribbean  High income: nonOECD        AW   \n",
              "1                 South Asia            Low income        AF   \n",
              "2         Sub-Saharan Africa   Upper middle income        AO   \n",
              "3      Europe & Central Asia   Upper middle income        AL   \n",
              "4      Europe & Central Asia  High income: nonOECD        AD   \n",
              "\n",
              "                         National accounts base year  \\\n",
              "0                                               2000   \n",
              "1                                            2002/03   \n",
              "2                                               2002   \n",
              "3  Original chained constant price data are resca...   \n",
              "4                                               1990   \n",
              "\n",
              "   National accounts reference year                   SNA price valuation  \\\n",
              "0                               NaN     Value added at basic prices (VAB)   \n",
              "1                               NaN     Value added at basic prices (VAB)   \n",
              "2                               NaN  Value added at producer prices (VAP)   \n",
              "3                            1996.0     Value added at basic prices (VAB)   \n",
              "4                               NaN                                   NaN   \n",
              "\n",
              "  Lending category Other groups  \\\n",
              "0              NaN          NaN   \n",
              "1              IDA         HIPC   \n",
              "2             IBRD          NaN   \n",
              "3             IBRD          NaN   \n",
              "4              NaN          NaN   \n",
              "\n",
              "                         System of National Accounts  \\\n",
              "0  Country uses the 1993 System of National Accou...   \n",
              "1  Country uses the 1993 System of National Accou...   \n",
              "2  Country uses the 1993 System of National Accou...   \n",
              "3  Country uses the 1993 System of National Accou...   \n",
              "4  Country uses the 1968 System of National Accou...   \n",
              "\n",
              "  Alternative conversion factor PPP survey year  \\\n",
              "0                           NaN             NaN   \n",
              "1                           NaN             NaN   \n",
              "2                       1991–96            2005   \n",
              "3                           NaN         Rolling   \n",
              "4                           NaN             NaN   \n",
              "\n",
              "              Balance of Payments Manual in use  \\\n",
              "0  IMF Balance of Payments Manual, 6th edition.   \n",
              "1                                           NaN   \n",
              "2  IMF Balance of Payments Manual, 6th edition.   \n",
              "3  IMF Balance of Payments Manual, 6th edition.   \n",
              "4                                           NaN   \n",
              "\n",
              "  External debt Reporting status       System of trade  \\\n",
              "0                            NaN  Special trade system   \n",
              "1                         Actual  General trade system   \n",
              "2                         Actual  Special trade system   \n",
              "3                         Actual  General trade system   \n",
              "4                            NaN  Special trade system   \n",
              "\n",
              "     Government Accounting concept           IMF data dissemination standard  \\\n",
              "0                              NaN                                       NaN   \n",
              "1  Consolidated central government  General Data Dissemination System (GDDS)   \n",
              "2     Budgetary central government  General Data Dissemination System (GDDS)   \n",
              "3     Budgetary central government  General Data Dissemination System (GDDS)   \n",
              "4                              NaN                                       NaN   \n",
              "\n",
              "                            Latest population census  \\\n",
              "0                                               2010   \n",
              "1                                               1979   \n",
              "2                                               1970   \n",
              "3                                               2011   \n",
              "4  2011. Population figures compiled from adminis...   \n",
              "\n",
              "                             Latest household survey  \\\n",
              "0                                                NaN   \n",
              "1  Multiple Indicator Cluster Survey (MICS), 2010/11   \n",
              "2               Malaria Indicator Survey (MIS), 2011   \n",
              "3       Demographic and Health Survey (DHS), 2008/09   \n",
              "4                                                NaN   \n",
              "\n",
              "   Source of most recent Income and expenditure data  \\\n",
              "0                                                NaN   \n",
              "1            Integrated household survey (IHS), 2008   \n",
              "2            Integrated household survey (IHS), 2008   \n",
              "3  Living Standards Measurement Study Survey (LSM...   \n",
              "4                                                NaN   \n",
              "\n",
              "  Vital registration complete Latest agricultural census  \\\n",
              "0                         Yes                        NaN   \n",
              "1                         NaN                    2013/14   \n",
              "2                         NaN                       2015   \n",
              "3                         Yes                       2012   \n",
              "4                         Yes                        NaN   \n",
              "\n",
              "   Latest industrial data  Latest trade data Latest water withdrawal data  \n",
              "0                     NaN             2012.0                          NaN  \n",
              "1                     NaN             2012.0                         2000  \n",
              "2                     NaN                NaN                         2005  \n",
              "3                  2010.0             2012.0                         2006  \n",
              "4                     NaN             2006.0                          NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d11999a0-6767-4632-9cae-30df71f0491f\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Country Code</th>\n",
              "      <th>Short Name</th>\n",
              "      <th>Table Name</th>\n",
              "      <th>Long Name</th>\n",
              "      <th>2-alpha code</th>\n",
              "      <th>Currency Unit</th>\n",
              "      <th>Special Notes</th>\n",
              "      <th>Region</th>\n",
              "      <th>Income Group</th>\n",
              "      <th>WB-2 code</th>\n",
              "      <th>National accounts base year</th>\n",
              "      <th>National accounts reference year</th>\n",
              "      <th>SNA price valuation</th>\n",
              "      <th>Lending category</th>\n",
              "      <th>Other groups</th>\n",
              "      <th>System of National Accounts</th>\n",
              "      <th>Alternative conversion factor</th>\n",
              "      <th>PPP survey year</th>\n",
              "      <th>Balance of Payments Manual in use</th>\n",
              "      <th>External debt Reporting status</th>\n",
              "      <th>System of trade</th>\n",
              "      <th>Government Accounting concept</th>\n",
              "      <th>IMF data dissemination standard</th>\n",
              "      <th>Latest population census</th>\n",
              "      <th>Latest household survey</th>\n",
              "      <th>Source of most recent Income and expenditure data</th>\n",
              "      <th>Vital registration complete</th>\n",
              "      <th>Latest agricultural census</th>\n",
              "      <th>Latest industrial data</th>\n",
              "      <th>Latest trade data</th>\n",
              "      <th>Latest water withdrawal data</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ABW</td>\n",
              "      <td>Aruba</td>\n",
              "      <td>Aruba</td>\n",
              "      <td>Aruba</td>\n",
              "      <td>AW</td>\n",
              "      <td>Aruban florin</td>\n",
              "      <td>SNA data for 2000-2011 are updated from offici...</td>\n",
              "      <td>Latin America &amp; Caribbean</td>\n",
              "      <td>High income: nonOECD</td>\n",
              "      <td>AW</td>\n",
              "      <td>2000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Value added at basic prices (VAB)</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Country uses the 1993 System of National Accou...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>IMF Balance of Payments Manual, 6th edition.</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Special trade system</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2010</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Yes</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2012.0</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>AFG</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>Islamic State of Afghanistan</td>\n",
              "      <td>AF</td>\n",
              "      <td>Afghan afghani</td>\n",
              "      <td>Fiscal year end: March 20; reporting period fo...</td>\n",
              "      <td>South Asia</td>\n",
              "      <td>Low income</td>\n",
              "      <td>AF</td>\n",
              "      <td>2002/03</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Value added at basic prices (VAB)</td>\n",
              "      <td>IDA</td>\n",
              "      <td>HIPC</td>\n",
              "      <td>Country uses the 1993 System of National Accou...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Actual</td>\n",
              "      <td>General trade system</td>\n",
              "      <td>Consolidated central government</td>\n",
              "      <td>General Data Dissemination System (GDDS)</td>\n",
              "      <td>1979</td>\n",
              "      <td>Multiple Indicator Cluster Survey (MICS), 2010/11</td>\n",
              "      <td>Integrated household survey (IHS), 2008</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2013/14</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2012.0</td>\n",
              "      <td>2000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>AGO</td>\n",
              "      <td>Angola</td>\n",
              "      <td>Angola</td>\n",
              "      <td>People's Republic of Angola</td>\n",
              "      <td>AO</td>\n",
              "      <td>Angolan kwanza</td>\n",
              "      <td>April 2013 database update: Based on IMF data,...</td>\n",
              "      <td>Sub-Saharan Africa</td>\n",
              "      <td>Upper middle income</td>\n",
              "      <td>AO</td>\n",
              "      <td>2002</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Value added at producer prices (VAP)</td>\n",
              "      <td>IBRD</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Country uses the 1993 System of National Accou...</td>\n",
              "      <td>1991–96</td>\n",
              "      <td>2005</td>\n",
              "      <td>IMF Balance of Payments Manual, 6th edition.</td>\n",
              "      <td>Actual</td>\n",
              "      <td>Special trade system</td>\n",
              "      <td>Budgetary central government</td>\n",
              "      <td>General Data Dissemination System (GDDS)</td>\n",
              "      <td>1970</td>\n",
              "      <td>Malaria Indicator Survey (MIS), 2011</td>\n",
              "      <td>Integrated household survey (IHS), 2008</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2015</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2005</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ALB</td>\n",
              "      <td>Albania</td>\n",
              "      <td>Albania</td>\n",
              "      <td>Republic of Albania</td>\n",
              "      <td>AL</td>\n",
              "      <td>Albanian lek</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Europe &amp; Central Asia</td>\n",
              "      <td>Upper middle income</td>\n",
              "      <td>AL</td>\n",
              "      <td>Original chained constant price data are resca...</td>\n",
              "      <td>1996.0</td>\n",
              "      <td>Value added at basic prices (VAB)</td>\n",
              "      <td>IBRD</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Country uses the 1993 System of National Accou...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Rolling</td>\n",
              "      <td>IMF Balance of Payments Manual, 6th edition.</td>\n",
              "      <td>Actual</td>\n",
              "      <td>General trade system</td>\n",
              "      <td>Budgetary central government</td>\n",
              "      <td>General Data Dissemination System (GDDS)</td>\n",
              "      <td>2011</td>\n",
              "      <td>Demographic and Health Survey (DHS), 2008/09</td>\n",
              "      <td>Living Standards Measurement Study Survey (LSM...</td>\n",
              "      <td>Yes</td>\n",
              "      <td>2012</td>\n",
              "      <td>2010.0</td>\n",
              "      <td>2012.0</td>\n",
              "      <td>2006</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>AND</td>\n",
              "      <td>Andorra</td>\n",
              "      <td>Andorra</td>\n",
              "      <td>Principality of Andorra</td>\n",
              "      <td>AD</td>\n",
              "      <td>Euro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Europe &amp; Central Asia</td>\n",
              "      <td>High income: nonOECD</td>\n",
              "      <td>AD</td>\n",
              "      <td>1990</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Country uses the 1968 System of National Accou...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Special trade system</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2011. Population figures compiled from adminis...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Yes</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2006.0</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d11999a0-6767-4632-9cae-30df71f0491f')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-d11999a0-6767-4632-9cae-30df71f0491f button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-d11999a0-6767-4632-9cae-30df71f0491f');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XwV9xI_CxjtS",
        "outputId": "8a388cbe-ad8d-4912-ab40-0c330503c9cc"
      },
      "execution_count": 100,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(886930, 70)"
            ]
          },
          "metadata": {},
          "execution_count": 100
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 399
        },
        "id": "gAsE2PZ_xjvc",
        "outputId": "6aceb035-bd50-4ec2-ebb8-232020e0a54c"
      },
      "execution_count": 101,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               1970          1971          1972          1973          1974  \\\n",
              "count  7.228800e+04  3.553700e+04  3.561900e+04  3.554500e+04  3.573000e+04   \n",
              "mean   1.974772e+09  4.253638e+09  4.592365e+09  5.105006e+09  5.401493e+09   \n",
              "std    1.211687e+11  1.804814e+11  1.914083e+11  2.059170e+11  2.112150e+11   \n",
              "min   -1.435564e+00 -1.594625e+00 -3.056522e+00 -4.032582e+00 -4.213563e+00   \n",
              "25%    8.900000e-01  8.853210e+00  9.240920e+00  9.595200e+00  9.861595e+00   \n",
              "50%    6.317724e+00  6.316240e+01  6.655139e+01  6.969595e+01  7.087760e+01   \n",
              "75%    6.251250e+01  5.655200e+04  5.863650e+04  6.202900e+04  6.383675e+04   \n",
              "max    1.903929e+13  1.986457e+13  2.100916e+13  2.238367e+13  2.282991e+13   \n",
              "\n",
              "               1975          1976          1977          1978          1979  \\\n",
              "count  8.730600e+04  3.748300e+04  3.757400e+04  3.757600e+04  3.680900e+04   \n",
              "mean   2.314288e+09  5.731808e+09  6.124437e+09  6.671489e+09  7.436724e+09   \n",
              "std    1.375059e+11  2.215546e+11  2.325489e+11  2.473986e+11  2.660957e+11   \n",
              "min   -3.658569e+00 -2.950945e+00 -3.174870e+00 -3.558749e+00 -2.973612e+00   \n",
              "25%    1.400000e+00  9.312615e+00  9.519913e+00  1.000000e+01  1.000000e+01   \n",
              "50%    9.677420e+00  7.101590e+01  7.133326e+01  7.290512e+01  7.510173e+01   \n",
              "75%    7.854163e+01  5.682800e+04  5.739175e+04  5.940425e+04  6.411500e+04   \n",
              "max    2.300634e+13  2.424128e+13  2.521383e+13  2.622101e+13  2.730873e+13   \n",
              "\n",
              "               1980          1981          1982          1983          1984  \\\n",
              "count  8.912200e+04  3.877700e+04  3.751100e+04  3.846000e+04  3.860600e+04   \n",
              "mean   3.283898e+09  7.664969e+09  7.913722e+09  7.856908e+09  8.118002e+09   \n",
              "std    1.780774e+11  2.744142e+11  2.790549e+11  2.823809e+11  2.940635e+11   \n",
              "min   -1.404240e+00 -1.478345e+00 -2.358765e+00 -2.867273e+00 -2.800548e+00   \n",
              "25%    1.770000e+00  9.468690e+00  9.989330e+00  9.581825e+00  9.068048e+00   \n",
              "50%    1.107000e+01  7.467213e+01  7.710972e+01  7.592528e+01  7.533138e+01   \n",
              "75%    8.202760e+01  6.310400e+04  6.923300e+04  6.304125e+04  6.360700e+04   \n",
              "max    2.784319e+13  2.837926e+13  2.848067e+13  2.916436e+13  3.048521e+13   \n",
              "\n",
              "               1985          1986          1987          1988          1989  \\\n",
              "count  9.029600e+04  3.937200e+04  3.864100e+04  3.855200e+04  3.754000e+04   \n",
              "mean   3.622763e+09  9.156550e+09  1.014901e+10  1.104709e+10  1.195436e+10   \n",
              "std    2.002929e+11  3.264675e+11  3.535351e+11  3.804257e+11  4.014873e+11   \n",
              "min   -2.216315e+00 -1.556722e+00 -1.410886e+00 -1.425202e+00 -1.562425e+00   \n",
              "25%    2.150000e+00  9.332923e+00  9.595330e+00  9.715503e+00  9.679637e+00   \n",
              "50%    1.200000e+01  7.409428e+01  7.357014e+01  7.354275e+01  7.935322e+01   \n",
              "75%    8.338313e+01  6.608525e+04  7.001100e+04  7.597875e+04  8.558375e+04   \n",
              "max    3.166465e+13  3.271284e+13  3.388244e+13  3.545738e+13  3.678741e+13   \n",
              "\n",
              "               1990          1991          1992          1993          1994  \\\n",
              "count  1.244050e+05  7.443700e+04  7.554300e+04  7.579300e+04  7.746200e+04   \n",
              "mean   9.084424e+09  1.571674e+10  1.604668e+10  1.643532e+10  1.684022e+10   \n",
              "std    3.665667e+11  4.881357e+11  5.012055e+11  5.121962e+11  5.292982e+11   \n",
              "min   -1.803750e+00 -5.814339e+00 -5.089333e+00 -6.184857e+00 -4.792691e+00   \n",
              "25%    4.830000e+00  5.134554e+01  4.933854e+01  4.944877e+01  4.783283e+01   \n",
              "50%    5.048379e+01  3.916000e+04  3.477300e+04  3.497100e+04  3.182500e+04   \n",
              "75%    9.134300e+04  4.383130e+05  4.246125e+05  4.316250e+05  4.244605e+05   \n",
              "max    4.714344e+13  4.781272e+13  4.866446e+13  4.959600e+13  5.106581e+13   \n",
              "\n",
              "               1995          1996          1997          1998          1999  \\\n",
              "count  1.313610e+05  7.680700e+04  7.345300e+04  8.491400e+04  1.188390e+05   \n",
              "mean   1.052543e+10  1.874630e+10  2.027385e+10  1.794678e+10  1.331558e+10   \n",
              "std    4.285218e+11  5.812586e+11  6.142357e+11  5.859148e+11  5.153472e+11   \n",
              "min   -2.697722e+00 -3.820174e+00 -2.517245e+00 -6.086200e+04 -6.526000e+04   \n",
              "25%    5.200000e+00  4.836486e+01  5.510854e+01  3.346871e+01  1.749051e+01   \n",
              "50%    5.018663e+01  3.262400e+04  4.319600e+04  1.521400e+04  1.251000e+03   \n",
              "75%    7.954000e+04  4.371055e+05  4.909700e+05  3.768212e+05  1.867360e+05   \n",
              "max    5.275448e+13  5.478031e+13  5.695521e+13  5.835137e+13  6.040632e+13   \n",
              "\n",
              "               2000          2001          2002          2003          2004  \\\n",
              "count  1.766760e+05  1.235090e+05  1.242050e+05  1.303630e+05  1.288140e+05   \n",
              "mean   9.423384e+09  1.384867e+10  1.428299e+10  1.449393e+10  1.589729e+10   \n",
              "std    4.442374e+11  5.449242e+11  5.622886e+11  5.803607e+11  6.278337e+11   \n",
              "min   -6.759300e+04 -6.973700e+04 -9.214300e+04 -1.111860e+05 -1.262600e+05   \n",
              "25%    5.699035e+00  1.599897e+01  1.584246e+01  1.550983e+01  1.418687e+01   \n",
              "50%    5.078717e+01  8.300000e+02  9.460000e+02  3.956150e+02  3.350000e+02   \n",
              "75%    3.343950e+04  1.746540e+05  1.770990e+05  1.474790e+05  1.584082e+05   \n",
              "max    6.327293e+13  6.477834e+13  6.654753e+13  6.906328e+13  7.278829e+13   \n",
              "\n",
              "               2005          2006          2007          2008          2009  \\\n",
              "count  1.841080e+05  1.403120e+05  1.372720e+05  1.343870e+05  1.421080e+05   \n",
              "mean   1.188637e+10  1.684674e+10  1.872300e+10  2.029794e+10  1.894907e+10   \n",
              "std    5.576181e+11  6.851484e+11  7.465688e+11  7.944132e+11  7.623650e+11   \n",
              "min   -1.347240e+05 -3.708940e+05 -3.882170e+05 -4.088540e+05 -4.561240e+05   \n",
              "25%    5.720000e+00  1.277624e+01  1.268661e+01  1.233467e+01  1.181939e+01   \n",
              "50%    5.031512e+01  9.981849e+01  1.000000e+02  1.000000e+02  9.925039e+01   \n",
              "75%    2.993150e+04  1.187198e+05  1.343790e+05  1.453855e+05  1.180412e+05   \n",
              "max    7.624045e+13  8.031840e+13  8.469145e+13  8.711022e+13  8.677516e+13   \n",
              "\n",
              "               2010          2011          2012          2013          2014  \\\n",
              "count  2.424420e+05  1.460120e+05  1.472640e+05  1.375090e+05  1.137890e+05   \n",
              "mean   1.189592e+10  2.117911e+10  2.176323e+10  2.425332e+10  2.678449e+10   \n",
              "std    6.218710e+11  8.555853e+11  8.833955e+11  9.513016e+11  1.023180e+12   \n",
              "min   -4.969050e+05 -5.709940e+05 -6.049930e+05 -6.157480e+05 -8.900000e+01   \n",
              "25%    1.322703e+00  1.216330e+01  1.100000e+01  1.306113e+01  1.614639e+01   \n",
              "50%    2.046020e+01  9.853510e+01  9.759012e+01  1.000000e+02  1.000000e+02   \n",
              "75%    3.121000e+03  1.065065e+05  1.038168e+05  1.426480e+05  1.636440e+05   \n",
              "max    9.134676e+13  9.506314e+13  9.999473e+13  1.054580e+14  1.108060e+14   \n",
              "\n",
              "               2015          2016        2017          2020          2025  \\\n",
              "count  1.310580e+05  1.646000e+04  143.000000  5.143600e+04  5.143600e+04   \n",
              "mean   2.353720e+10  1.934411e+11    2.160839  5.780697e+02  6.054774e+02   \n",
              "std    9.732465e+11  2.839188e+12    0.810584  1.475072e+04  1.577305e+04   \n",
              "min   -2.467847e+00 -1.797539e+00    1.000000 -1.870000e+00 -2.000000e+00   \n",
              "25%    4.100000e-01  1.826761e+01    2.000000  6.000000e-02  6.000000e-02   \n",
              "50%    5.235000e+01  6.264000e+03    2.000000  2.300000e-01  2.300000e-01   \n",
              "75%    6.153575e+04  5.939590e+05    3.000000  6.660000e+00  6.900000e+00   \n",
              "max    1.156198e+14  1.206030e+14    4.000000  1.599479e+06  1.781898e+06   \n",
              "\n",
              "               2030          2035          2040          2045          2050  \\\n",
              "count  5.143600e+04  5.143600e+04  5.143600e+04  5.143600e+04  5.143600e+04   \n",
              "mean   6.315916e+02  6.556516e+02  6.751516e+02  6.911287e+02  7.040640e+02   \n",
              "std    1.678556e+04  1.778666e+04  1.874408e+04  1.965409e+04  2.052941e+04   \n",
              "min   -2.110000e+00 -2.150000e+00 -2.140000e+00 -2.090000e+00 -1.980000e+00   \n",
              "25%    6.000000e-02  6.000000e-02  5.000000e-02  5.000000e-02  4.000000e-02   \n",
              "50%    2.300000e-01  2.300000e-01  2.300000e-01  2.300000e-01  2.300000e-01   \n",
              "75%    7.062500e+00  7.300000e+00  7.400000e+00  7.432500e+00  7.500000e+00   \n",
              "max    1.967258e+06  2.151416e+06  2.330336e+06  2.500439e+06  2.662071e+06   \n",
              "\n",
              "               2055          2060          2065          2070          2075  \\\n",
              "count  5.143600e+04  5.143600e+04  5.143600e+04  5.143600e+04  5.143600e+04   \n",
              "mean   7.145788e+02  7.224868e+02  7.271290e+02  7.283779e+02  7.266484e+02   \n",
              "std    2.136851e+04  2.215845e+04  2.287990e+04  2.352338e+04  2.408149e+04   \n",
              "min   -1.830000e+00 -1.630000e+00 -1.440000e+00 -1.260000e+00 -1.090000e+00   \n",
              "25%    3.000000e-02  3.000000e-02  3.000000e-02  2.000000e-02  2.000000e-02   \n",
              "50%    2.300000e-01  2.300000e-01  2.300000e-01  2.300000e-01  2.300000e-01   \n",
              "75%    7.500000e+00  7.505000e+00  7.500000e+00  7.300000e+00  7.100000e+00   \n",
              "max    2.813670e+06  2.951569e+06  3.070879e+06  3.169711e+06  3.246239e+06   \n",
              "\n",
              "               2080          2085          2090          2095          2100  \\\n",
              "count  5.143600e+04  5.143600e+04  5.143600e+04  5.143600e+04  5.143600e+04   \n",
              "mean   7.228327e+02  7.176899e+02  7.113072e+02  7.034274e+02  6.940296e+02   \n",
              "std    2.455897e+04  2.496587e+04  2.530183e+04  2.556069e+04  2.574189e+04   \n",
              "min   -9.200000e-01 -7.800000e-01 -6.500000e-01 -5.500000e-01 -4.500000e-01   \n",
              "25%    1.000000e-02  1.000000e-02  1.000000e-02  1.000000e-02  1.000000e-02   \n",
              "50%    2.300000e-01  2.300000e-01  2.300000e-01  2.300000e-01  2.200000e-01   \n",
              "75%    6.722500e+00  6.080000e+00  5.462500e+00  4.680000e+00  4.032500e+00   \n",
              "max    3.301586e+06  3.337871e+06  3.354746e+06  3.351887e+06  3.330484e+06   \n",
              "\n",
              "       Unnamed: 69  \n",
              "count          0.0  \n",
              "mean           NaN  \n",
              "std            NaN  \n",
              "min            NaN  \n",
              "25%            NaN  \n",
              "50%            NaN  \n",
              "75%            NaN  \n",
              "max            NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-dea6b820-a550-4527-9279-fe5cb478774d\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>1970</th>\n",
              "      <th>1971</th>\n",
              "      <th>1972</th>\n",
              "      <th>1973</th>\n",
              "      <th>1974</th>\n",
              "      <th>1975</th>\n",
              "      <th>1976</th>\n",
              "      <th>1977</th>\n",
              "      <th>1978</th>\n",
              "      <th>1979</th>\n",
              "      <th>1980</th>\n",
              "      <th>1981</th>\n",
              "      <th>1982</th>\n",
              "      <th>1983</th>\n",
              "      <th>1984</th>\n",
              "      <th>1985</th>\n",
              "      <th>1986</th>\n",
              "      <th>1987</th>\n",
              "      <th>1988</th>\n",
              "      <th>1989</th>\n",
              "      <th>1990</th>\n",
              "      <th>1991</th>\n",
              "      <th>1992</th>\n",
              "      <th>1993</th>\n",
              "      <th>1994</th>\n",
              "      <th>1995</th>\n",
              "      <th>1996</th>\n",
              "      <th>1997</th>\n",
              "      <th>1998</th>\n",
              "      <th>1999</th>\n",
              "      <th>2000</th>\n",
              "      <th>2001</th>\n",
              "      <th>2002</th>\n",
              "      <th>2003</th>\n",
              "      <th>2004</th>\n",
              "      <th>2005</th>\n",
              "      <th>2006</th>\n",
              "      <th>2007</th>\n",
              "      <th>2008</th>\n",
              "      <th>2009</th>\n",
              "      <th>2010</th>\n",
              "      <th>2011</th>\n",
              "      <th>2012</th>\n",
              "      <th>2013</th>\n",
              "      <th>2014</th>\n",
              "      <th>2015</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2020</th>\n",
              "      <th>2025</th>\n",
              "      <th>2030</th>\n",
              "      <th>2035</th>\n",
              "      <th>2040</th>\n",
              "      <th>2045</th>\n",
              "      <th>2050</th>\n",
              "      <th>2055</th>\n",
              "      <th>2060</th>\n",
              "      <th>2065</th>\n",
              "      <th>2070</th>\n",
              "      <th>2075</th>\n",
              "      <th>2080</th>\n",
              "      <th>2085</th>\n",
              "      <th>2090</th>\n",
              "      <th>2095</th>\n",
              "      <th>2100</th>\n",
              "      <th>Unnamed: 69</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>7.228800e+04</td>\n",
              "      <td>3.553700e+04</td>\n",
              "      <td>3.561900e+04</td>\n",
              "      <td>3.554500e+04</td>\n",
              "      <td>3.573000e+04</td>\n",
              "      <td>8.730600e+04</td>\n",
              "      <td>3.748300e+04</td>\n",
              "      <td>3.757400e+04</td>\n",
              "      <td>3.757600e+04</td>\n",
              "      <td>3.680900e+04</td>\n",
              "      <td>8.912200e+04</td>\n",
              "      <td>3.877700e+04</td>\n",
              "      <td>3.751100e+04</td>\n",
              "      <td>3.846000e+04</td>\n",
              "      <td>3.860600e+04</td>\n",
              "      <td>9.029600e+04</td>\n",
              "      <td>3.937200e+04</td>\n",
              "      <td>3.864100e+04</td>\n",
              "      <td>3.855200e+04</td>\n",
              "      <td>3.754000e+04</td>\n",
              "      <td>1.244050e+05</td>\n",
              "      <td>7.443700e+04</td>\n",
              "      <td>7.554300e+04</td>\n",
              "      <td>7.579300e+04</td>\n",
              "      <td>7.746200e+04</td>\n",
              "      <td>1.313610e+05</td>\n",
              "      <td>7.680700e+04</td>\n",
              "      <td>7.345300e+04</td>\n",
              "      <td>8.491400e+04</td>\n",
              "      <td>1.188390e+05</td>\n",
              "      <td>1.766760e+05</td>\n",
              "      <td>1.235090e+05</td>\n",
              "      <td>1.242050e+05</td>\n",
              "      <td>1.303630e+05</td>\n",
              "      <td>1.288140e+05</td>\n",
              "      <td>1.841080e+05</td>\n",
              "      <td>1.403120e+05</td>\n",
              "      <td>1.372720e+05</td>\n",
              "      <td>1.343870e+05</td>\n",
              "      <td>1.421080e+05</td>\n",
              "      <td>2.424420e+05</td>\n",
              "      <td>1.460120e+05</td>\n",
              "      <td>1.472640e+05</td>\n",
              "      <td>1.375090e+05</td>\n",
              "      <td>1.137890e+05</td>\n",
              "      <td>1.310580e+05</td>\n",
              "      <td>1.646000e+04</td>\n",
              "      <td>143.000000</td>\n",
              "      <td>5.143600e+04</td>\n",
              "      <td>5.143600e+04</td>\n",
              "      <td>5.143600e+04</td>\n",
              "      <td>5.143600e+04</td>\n",
              "      <td>5.143600e+04</td>\n",
              "      <td>5.143600e+04</td>\n",
              "      <td>5.143600e+04</td>\n",
              "      <td>5.143600e+04</td>\n",
              "      <td>5.143600e+04</td>\n",
              "      <td>5.143600e+04</td>\n",
              "      <td>5.143600e+04</td>\n",
              "      <td>5.143600e+04</td>\n",
              "      <td>5.143600e+04</td>\n",
              "      <td>5.143600e+04</td>\n",
              "      <td>5.143600e+04</td>\n",
              "      <td>5.143600e+04</td>\n",
              "      <td>5.143600e+04</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>1.974772e+09</td>\n",
              "      <td>4.253638e+09</td>\n",
              "      <td>4.592365e+09</td>\n",
              "      <td>5.105006e+09</td>\n",
              "      <td>5.401493e+09</td>\n",
              "      <td>2.314288e+09</td>\n",
              "      <td>5.731808e+09</td>\n",
              "      <td>6.124437e+09</td>\n",
              "      <td>6.671489e+09</td>\n",
              "      <td>7.436724e+09</td>\n",
              "      <td>3.283898e+09</td>\n",
              "      <td>7.664969e+09</td>\n",
              "      <td>7.913722e+09</td>\n",
              "      <td>7.856908e+09</td>\n",
              "      <td>8.118002e+09</td>\n",
              "      <td>3.622763e+09</td>\n",
              "      <td>9.156550e+09</td>\n",
              "      <td>1.014901e+10</td>\n",
              "      <td>1.104709e+10</td>\n",
              "      <td>1.195436e+10</td>\n",
              "      <td>9.084424e+09</td>\n",
              "      <td>1.571674e+10</td>\n",
              "      <td>1.604668e+10</td>\n",
              "      <td>1.643532e+10</td>\n",
              "      <td>1.684022e+10</td>\n",
              "      <td>1.052543e+10</td>\n",
              "      <td>1.874630e+10</td>\n",
              "      <td>2.027385e+10</td>\n",
              "      <td>1.794678e+10</td>\n",
              "      <td>1.331558e+10</td>\n",
              "      <td>9.423384e+09</td>\n",
              "      <td>1.384867e+10</td>\n",
              "      <td>1.428299e+10</td>\n",
              "      <td>1.449393e+10</td>\n",
              "      <td>1.589729e+10</td>\n",
              "      <td>1.188637e+10</td>\n",
              "      <td>1.684674e+10</td>\n",
              "      <td>1.872300e+10</td>\n",
              "      <td>2.029794e+10</td>\n",
              "      <td>1.894907e+10</td>\n",
              "      <td>1.189592e+10</td>\n",
              "      <td>2.117911e+10</td>\n",
              "      <td>2.176323e+10</td>\n",
              "      <td>2.425332e+10</td>\n",
              "      <td>2.678449e+10</td>\n",
              "      <td>2.353720e+10</td>\n",
              "      <td>1.934411e+11</td>\n",
              "      <td>2.160839</td>\n",
              "      <td>5.780697e+02</td>\n",
              "      <td>6.054774e+02</td>\n",
              "      <td>6.315916e+02</td>\n",
              "      <td>6.556516e+02</td>\n",
              "      <td>6.751516e+02</td>\n",
              "      <td>6.911287e+02</td>\n",
              "      <td>7.040640e+02</td>\n",
              "      <td>7.145788e+02</td>\n",
              "      <td>7.224868e+02</td>\n",
              "      <td>7.271290e+02</td>\n",
              "      <td>7.283779e+02</td>\n",
              "      <td>7.266484e+02</td>\n",
              "      <td>7.228327e+02</td>\n",
              "      <td>7.176899e+02</td>\n",
              "      <td>7.113072e+02</td>\n",
              "      <td>7.034274e+02</td>\n",
              "      <td>6.940296e+02</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.211687e+11</td>\n",
              "      <td>1.804814e+11</td>\n",
              "      <td>1.914083e+11</td>\n",
              "      <td>2.059170e+11</td>\n",
              "      <td>2.112150e+11</td>\n",
              "      <td>1.375059e+11</td>\n",
              "      <td>2.215546e+11</td>\n",
              "      <td>2.325489e+11</td>\n",
              "      <td>2.473986e+11</td>\n",
              "      <td>2.660957e+11</td>\n",
              "      <td>1.780774e+11</td>\n",
              "      <td>2.744142e+11</td>\n",
              "      <td>2.790549e+11</td>\n",
              "      <td>2.823809e+11</td>\n",
              "      <td>2.940635e+11</td>\n",
              "      <td>2.002929e+11</td>\n",
              "      <td>3.264675e+11</td>\n",
              "      <td>3.535351e+11</td>\n",
              "      <td>3.804257e+11</td>\n",
              "      <td>4.014873e+11</td>\n",
              "      <td>3.665667e+11</td>\n",
              "      <td>4.881357e+11</td>\n",
              "      <td>5.012055e+11</td>\n",
              "      <td>5.121962e+11</td>\n",
              "      <td>5.292982e+11</td>\n",
              "      <td>4.285218e+11</td>\n",
              "      <td>5.812586e+11</td>\n",
              "      <td>6.142357e+11</td>\n",
              "      <td>5.859148e+11</td>\n",
              "      <td>5.153472e+11</td>\n",
              "      <td>4.442374e+11</td>\n",
              "      <td>5.449242e+11</td>\n",
              "      <td>5.622886e+11</td>\n",
              "      <td>5.803607e+11</td>\n",
              "      <td>6.278337e+11</td>\n",
              "      <td>5.576181e+11</td>\n",
              "      <td>6.851484e+11</td>\n",
              "      <td>7.465688e+11</td>\n",
              "      <td>7.944132e+11</td>\n",
              "      <td>7.623650e+11</td>\n",
              "      <td>6.218710e+11</td>\n",
              "      <td>8.555853e+11</td>\n",
              "      <td>8.833955e+11</td>\n",
              "      <td>9.513016e+11</td>\n",
              "      <td>1.023180e+12</td>\n",
              "      <td>9.732465e+11</td>\n",
              "      <td>2.839188e+12</td>\n",
              "      <td>0.810584</td>\n",
              "      <td>1.475072e+04</td>\n",
              "      <td>1.577305e+04</td>\n",
              "      <td>1.678556e+04</td>\n",
              "      <td>1.778666e+04</td>\n",
              "      <td>1.874408e+04</td>\n",
              "      <td>1.965409e+04</td>\n",
              "      <td>2.052941e+04</td>\n",
              "      <td>2.136851e+04</td>\n",
              "      <td>2.215845e+04</td>\n",
              "      <td>2.287990e+04</td>\n",
              "      <td>2.352338e+04</td>\n",
              "      <td>2.408149e+04</td>\n",
              "      <td>2.455897e+04</td>\n",
              "      <td>2.496587e+04</td>\n",
              "      <td>2.530183e+04</td>\n",
              "      <td>2.556069e+04</td>\n",
              "      <td>2.574189e+04</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>-1.435564e+00</td>\n",
              "      <td>-1.594625e+00</td>\n",
              "      <td>-3.056522e+00</td>\n",
              "      <td>-4.032582e+00</td>\n",
              "      <td>-4.213563e+00</td>\n",
              "      <td>-3.658569e+00</td>\n",
              "      <td>-2.950945e+00</td>\n",
              "      <td>-3.174870e+00</td>\n",
              "      <td>-3.558749e+00</td>\n",
              "      <td>-2.973612e+00</td>\n",
              "      <td>-1.404240e+00</td>\n",
              "      <td>-1.478345e+00</td>\n",
              "      <td>-2.358765e+00</td>\n",
              "      <td>-2.867273e+00</td>\n",
              "      <td>-2.800548e+00</td>\n",
              "      <td>-2.216315e+00</td>\n",
              "      <td>-1.556722e+00</td>\n",
              "      <td>-1.410886e+00</td>\n",
              "      <td>-1.425202e+00</td>\n",
              "      <td>-1.562425e+00</td>\n",
              "      <td>-1.803750e+00</td>\n",
              "      <td>-5.814339e+00</td>\n",
              "      <td>-5.089333e+00</td>\n",
              "      <td>-6.184857e+00</td>\n",
              "      <td>-4.792691e+00</td>\n",
              "      <td>-2.697722e+00</td>\n",
              "      <td>-3.820174e+00</td>\n",
              "      <td>-2.517245e+00</td>\n",
              "      <td>-6.086200e+04</td>\n",
              "      <td>-6.526000e+04</td>\n",
              "      <td>-6.759300e+04</td>\n",
              "      <td>-6.973700e+04</td>\n",
              "      <td>-9.214300e+04</td>\n",
              "      <td>-1.111860e+05</td>\n",
              "      <td>-1.262600e+05</td>\n",
              "      <td>-1.347240e+05</td>\n",
              "      <td>-3.708940e+05</td>\n",
              "      <td>-3.882170e+05</td>\n",
              "      <td>-4.088540e+05</td>\n",
              "      <td>-4.561240e+05</td>\n",
              "      <td>-4.969050e+05</td>\n",
              "      <td>-5.709940e+05</td>\n",
              "      <td>-6.049930e+05</td>\n",
              "      <td>-6.157480e+05</td>\n",
              "      <td>-8.900000e+01</td>\n",
              "      <td>-2.467847e+00</td>\n",
              "      <td>-1.797539e+00</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-1.870000e+00</td>\n",
              "      <td>-2.000000e+00</td>\n",
              "      <td>-2.110000e+00</td>\n",
              "      <td>-2.150000e+00</td>\n",
              "      <td>-2.140000e+00</td>\n",
              "      <td>-2.090000e+00</td>\n",
              "      <td>-1.980000e+00</td>\n",
              "      <td>-1.830000e+00</td>\n",
              "      <td>-1.630000e+00</td>\n",
              "      <td>-1.440000e+00</td>\n",
              "      <td>-1.260000e+00</td>\n",
              "      <td>-1.090000e+00</td>\n",
              "      <td>-9.200000e-01</td>\n",
              "      <td>-7.800000e-01</td>\n",
              "      <td>-6.500000e-01</td>\n",
              "      <td>-5.500000e-01</td>\n",
              "      <td>-4.500000e-01</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>8.900000e-01</td>\n",
              "      <td>8.853210e+00</td>\n",
              "      <td>9.240920e+00</td>\n",
              "      <td>9.595200e+00</td>\n",
              "      <td>9.861595e+00</td>\n",
              "      <td>1.400000e+00</td>\n",
              "      <td>9.312615e+00</td>\n",
              "      <td>9.519913e+00</td>\n",
              "      <td>1.000000e+01</td>\n",
              "      <td>1.000000e+01</td>\n",
              "      <td>1.770000e+00</td>\n",
              "      <td>9.468690e+00</td>\n",
              "      <td>9.989330e+00</td>\n",
              "      <td>9.581825e+00</td>\n",
              "      <td>9.068048e+00</td>\n",
              "      <td>2.150000e+00</td>\n",
              "      <td>9.332923e+00</td>\n",
              "      <td>9.595330e+00</td>\n",
              "      <td>9.715503e+00</td>\n",
              "      <td>9.679637e+00</td>\n",
              "      <td>4.830000e+00</td>\n",
              "      <td>5.134554e+01</td>\n",
              "      <td>4.933854e+01</td>\n",
              "      <td>4.944877e+01</td>\n",
              "      <td>4.783283e+01</td>\n",
              "      <td>5.200000e+00</td>\n",
              "      <td>4.836486e+01</td>\n",
              "      <td>5.510854e+01</td>\n",
              "      <td>3.346871e+01</td>\n",
              "      <td>1.749051e+01</td>\n",
              "      <td>5.699035e+00</td>\n",
              "      <td>1.599897e+01</td>\n",
              "      <td>1.584246e+01</td>\n",
              "      <td>1.550983e+01</td>\n",
              "      <td>1.418687e+01</td>\n",
              "      <td>5.720000e+00</td>\n",
              "      <td>1.277624e+01</td>\n",
              "      <td>1.268661e+01</td>\n",
              "      <td>1.233467e+01</td>\n",
              "      <td>1.181939e+01</td>\n",
              "      <td>1.322703e+00</td>\n",
              "      <td>1.216330e+01</td>\n",
              "      <td>1.100000e+01</td>\n",
              "      <td>1.306113e+01</td>\n",
              "      <td>1.614639e+01</td>\n",
              "      <td>4.100000e-01</td>\n",
              "      <td>1.826761e+01</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>6.000000e-02</td>\n",
              "      <td>6.000000e-02</td>\n",
              "      <td>6.000000e-02</td>\n",
              "      <td>6.000000e-02</td>\n",
              "      <td>5.000000e-02</td>\n",
              "      <td>5.000000e-02</td>\n",
              "      <td>4.000000e-02</td>\n",
              "      <td>3.000000e-02</td>\n",
              "      <td>3.000000e-02</td>\n",
              "      <td>3.000000e-02</td>\n",
              "      <td>2.000000e-02</td>\n",
              "      <td>2.000000e-02</td>\n",
              "      <td>1.000000e-02</td>\n",
              "      <td>1.000000e-02</td>\n",
              "      <td>1.000000e-02</td>\n",
              "      <td>1.000000e-02</td>\n",
              "      <td>1.000000e-02</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>6.317724e+00</td>\n",
              "      <td>6.316240e+01</td>\n",
              "      <td>6.655139e+01</td>\n",
              "      <td>6.969595e+01</td>\n",
              "      <td>7.087760e+01</td>\n",
              "      <td>9.677420e+00</td>\n",
              "      <td>7.101590e+01</td>\n",
              "      <td>7.133326e+01</td>\n",
              "      <td>7.290512e+01</td>\n",
              "      <td>7.510173e+01</td>\n",
              "      <td>1.107000e+01</td>\n",
              "      <td>7.467213e+01</td>\n",
              "      <td>7.710972e+01</td>\n",
              "      <td>7.592528e+01</td>\n",
              "      <td>7.533138e+01</td>\n",
              "      <td>1.200000e+01</td>\n",
              "      <td>7.409428e+01</td>\n",
              "      <td>7.357014e+01</td>\n",
              "      <td>7.354275e+01</td>\n",
              "      <td>7.935322e+01</td>\n",
              "      <td>5.048379e+01</td>\n",
              "      <td>3.916000e+04</td>\n",
              "      <td>3.477300e+04</td>\n",
              "      <td>3.497100e+04</td>\n",
              "      <td>3.182500e+04</td>\n",
              "      <td>5.018663e+01</td>\n",
              "      <td>3.262400e+04</td>\n",
              "      <td>4.319600e+04</td>\n",
              "      <td>1.521400e+04</td>\n",
              "      <td>1.251000e+03</td>\n",
              "      <td>5.078717e+01</td>\n",
              "      <td>8.300000e+02</td>\n",
              "      <td>9.460000e+02</td>\n",
              "      <td>3.956150e+02</td>\n",
              "      <td>3.350000e+02</td>\n",
              "      <td>5.031512e+01</td>\n",
              "      <td>9.981849e+01</td>\n",
              "      <td>1.000000e+02</td>\n",
              "      <td>1.000000e+02</td>\n",
              "      <td>9.925039e+01</td>\n",
              "      <td>2.046020e+01</td>\n",
              "      <td>9.853510e+01</td>\n",
              "      <td>9.759012e+01</td>\n",
              "      <td>1.000000e+02</td>\n",
              "      <td>1.000000e+02</td>\n",
              "      <td>5.235000e+01</td>\n",
              "      <td>6.264000e+03</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.300000e-01</td>\n",
              "      <td>2.300000e-01</td>\n",
              "      <td>2.300000e-01</td>\n",
              "      <td>2.300000e-01</td>\n",
              "      <td>2.300000e-01</td>\n",
              "      <td>2.300000e-01</td>\n",
              "      <td>2.300000e-01</td>\n",
              "      <td>2.300000e-01</td>\n",
              "      <td>2.300000e-01</td>\n",
              "      <td>2.300000e-01</td>\n",
              "      <td>2.300000e-01</td>\n",
              "      <td>2.300000e-01</td>\n",
              "      <td>2.300000e-01</td>\n",
              "      <td>2.300000e-01</td>\n",
              "      <td>2.300000e-01</td>\n",
              "      <td>2.300000e-01</td>\n",
              "      <td>2.200000e-01</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>6.251250e+01</td>\n",
              "      <td>5.655200e+04</td>\n",
              "      <td>5.863650e+04</td>\n",
              "      <td>6.202900e+04</td>\n",
              "      <td>6.383675e+04</td>\n",
              "      <td>7.854163e+01</td>\n",
              "      <td>5.682800e+04</td>\n",
              "      <td>5.739175e+04</td>\n",
              "      <td>5.940425e+04</td>\n",
              "      <td>6.411500e+04</td>\n",
              "      <td>8.202760e+01</td>\n",
              "      <td>6.310400e+04</td>\n",
              "      <td>6.923300e+04</td>\n",
              "      <td>6.304125e+04</td>\n",
              "      <td>6.360700e+04</td>\n",
              "      <td>8.338313e+01</td>\n",
              "      <td>6.608525e+04</td>\n",
              "      <td>7.001100e+04</td>\n",
              "      <td>7.597875e+04</td>\n",
              "      <td>8.558375e+04</td>\n",
              "      <td>9.134300e+04</td>\n",
              "      <td>4.383130e+05</td>\n",
              "      <td>4.246125e+05</td>\n",
              "      <td>4.316250e+05</td>\n",
              "      <td>4.244605e+05</td>\n",
              "      <td>7.954000e+04</td>\n",
              "      <td>4.371055e+05</td>\n",
              "      <td>4.909700e+05</td>\n",
              "      <td>3.768212e+05</td>\n",
              "      <td>1.867360e+05</td>\n",
              "      <td>3.343950e+04</td>\n",
              "      <td>1.746540e+05</td>\n",
              "      <td>1.770990e+05</td>\n",
              "      <td>1.474790e+05</td>\n",
              "      <td>1.584082e+05</td>\n",
              "      <td>2.993150e+04</td>\n",
              "      <td>1.187198e+05</td>\n",
              "      <td>1.343790e+05</td>\n",
              "      <td>1.453855e+05</td>\n",
              "      <td>1.180412e+05</td>\n",
              "      <td>3.121000e+03</td>\n",
              "      <td>1.065065e+05</td>\n",
              "      <td>1.038168e+05</td>\n",
              "      <td>1.426480e+05</td>\n",
              "      <td>1.636440e+05</td>\n",
              "      <td>6.153575e+04</td>\n",
              "      <td>5.939590e+05</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>6.660000e+00</td>\n",
              "      <td>6.900000e+00</td>\n",
              "      <td>7.062500e+00</td>\n",
              "      <td>7.300000e+00</td>\n",
              "      <td>7.400000e+00</td>\n",
              "      <td>7.432500e+00</td>\n",
              "      <td>7.500000e+00</td>\n",
              "      <td>7.500000e+00</td>\n",
              "      <td>7.505000e+00</td>\n",
              "      <td>7.500000e+00</td>\n",
              "      <td>7.300000e+00</td>\n",
              "      <td>7.100000e+00</td>\n",
              "      <td>6.722500e+00</td>\n",
              "      <td>6.080000e+00</td>\n",
              "      <td>5.462500e+00</td>\n",
              "      <td>4.680000e+00</td>\n",
              "      <td>4.032500e+00</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>1.903929e+13</td>\n",
              "      <td>1.986457e+13</td>\n",
              "      <td>2.100916e+13</td>\n",
              "      <td>2.238367e+13</td>\n",
              "      <td>2.282991e+13</td>\n",
              "      <td>2.300634e+13</td>\n",
              "      <td>2.424128e+13</td>\n",
              "      <td>2.521383e+13</td>\n",
              "      <td>2.622101e+13</td>\n",
              "      <td>2.730873e+13</td>\n",
              "      <td>2.784319e+13</td>\n",
              "      <td>2.837926e+13</td>\n",
              "      <td>2.848067e+13</td>\n",
              "      <td>2.916436e+13</td>\n",
              "      <td>3.048521e+13</td>\n",
              "      <td>3.166465e+13</td>\n",
              "      <td>3.271284e+13</td>\n",
              "      <td>3.388244e+13</td>\n",
              "      <td>3.545738e+13</td>\n",
              "      <td>3.678741e+13</td>\n",
              "      <td>4.714344e+13</td>\n",
              "      <td>4.781272e+13</td>\n",
              "      <td>4.866446e+13</td>\n",
              "      <td>4.959600e+13</td>\n",
              "      <td>5.106581e+13</td>\n",
              "      <td>5.275448e+13</td>\n",
              "      <td>5.478031e+13</td>\n",
              "      <td>5.695521e+13</td>\n",
              "      <td>5.835137e+13</td>\n",
              "      <td>6.040632e+13</td>\n",
              "      <td>6.327293e+13</td>\n",
              "      <td>6.477834e+13</td>\n",
              "      <td>6.654753e+13</td>\n",
              "      <td>6.906328e+13</td>\n",
              "      <td>7.278829e+13</td>\n",
              "      <td>7.624045e+13</td>\n",
              "      <td>8.031840e+13</td>\n",
              "      <td>8.469145e+13</td>\n",
              "      <td>8.711022e+13</td>\n",
              "      <td>8.677516e+13</td>\n",
              "      <td>9.134676e+13</td>\n",
              "      <td>9.506314e+13</td>\n",
              "      <td>9.999473e+13</td>\n",
              "      <td>1.054580e+14</td>\n",
              "      <td>1.108060e+14</td>\n",
              "      <td>1.156198e+14</td>\n",
              "      <td>1.206030e+14</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>1.599479e+06</td>\n",
              "      <td>1.781898e+06</td>\n",
              "      <td>1.967258e+06</td>\n",
              "      <td>2.151416e+06</td>\n",
              "      <td>2.330336e+06</td>\n",
              "      <td>2.500439e+06</td>\n",
              "      <td>2.662071e+06</td>\n",
              "      <td>2.813670e+06</td>\n",
              "      <td>2.951569e+06</td>\n",
              "      <td>3.070879e+06</td>\n",
              "      <td>3.169711e+06</td>\n",
              "      <td>3.246239e+06</td>\n",
              "      <td>3.301586e+06</td>\n",
              "      <td>3.337871e+06</td>\n",
              "      <td>3.354746e+06</td>\n",
              "      <td>3.351887e+06</td>\n",
              "      <td>3.330484e+06</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-dea6b820-a550-4527-9279-fe5cb478774d')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-dea6b820-a550-4527-9279-fe5cb478774d button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-dea6b820-a550-4527-9279-fe5cb478774d');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 101
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "c4m-NcS9xjzF",
        "outputId": "9b5b234b-e5f7-4ea6-e236-7253d80f1323"
      },
      "execution_count": 102,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 886930 entries, 0 to 886929\n",
            "Data columns (total 70 columns):\n",
            " #   Column          Non-Null Count   Dtype  \n",
            "---  ------          --------------   -----  \n",
            " 0   Country Name    886930 non-null  object \n",
            " 1   Country Code    886930 non-null  object \n",
            " 2   Indicator Name  886930 non-null  object \n",
            " 3   Indicator Code  886930 non-null  object \n",
            " 4   1970            72288 non-null   float64\n",
            " 5   1971            35537 non-null   float64\n",
            " 6   1972            35619 non-null   float64\n",
            " 7   1973            35545 non-null   float64\n",
            " 8   1974            35730 non-null   float64\n",
            " 9   1975            87306 non-null   float64\n",
            " 10  1976            37483 non-null   float64\n",
            " 11  1977            37574 non-null   float64\n",
            " 12  1978            37576 non-null   float64\n",
            " 13  1979            36809 non-null   float64\n",
            " 14  1980            89122 non-null   float64\n",
            " 15  1981            38777 non-null   float64\n",
            " 16  1982            37511 non-null   float64\n",
            " 17  1983            38460 non-null   float64\n",
            " 18  1984            38606 non-null   float64\n",
            " 19  1985            90296 non-null   float64\n",
            " 20  1986            39372 non-null   float64\n",
            " 21  1987            38641 non-null   float64\n",
            " 22  1988            38552 non-null   float64\n",
            " 23  1989            37540 non-null   float64\n",
            " 24  1990            124405 non-null  float64\n",
            " 25  1991            74437 non-null   float64\n",
            " 26  1992            75543 non-null   float64\n",
            " 27  1993            75793 non-null   float64\n",
            " 28  1994            77462 non-null   float64\n",
            " 29  1995            131361 non-null  float64\n",
            " 30  1996            76807 non-null   float64\n",
            " 31  1997            73453 non-null   float64\n",
            " 32  1998            84914 non-null   float64\n",
            " 33  1999            118839 non-null  float64\n",
            " 34  2000            176676 non-null  float64\n",
            " 35  2001            123509 non-null  float64\n",
            " 36  2002            124205 non-null  float64\n",
            " 37  2003            130363 non-null  float64\n",
            " 38  2004            128814 non-null  float64\n",
            " 39  2005            184108 non-null  float64\n",
            " 40  2006            140312 non-null  float64\n",
            " 41  2007            137272 non-null  float64\n",
            " 42  2008            134387 non-null  float64\n",
            " 43  2009            142108 non-null  float64\n",
            " 44  2010            242442 non-null  float64\n",
            " 45  2011            146012 non-null  float64\n",
            " 46  2012            147264 non-null  float64\n",
            " 47  2013            137509 non-null  float64\n",
            " 48  2014            113789 non-null  float64\n",
            " 49  2015            131058 non-null  float64\n",
            " 50  2016            16460 non-null   float64\n",
            " 51  2017            143 non-null     float64\n",
            " 52  2020            51436 non-null   float64\n",
            " 53  2025            51436 non-null   float64\n",
            " 54  2030            51436 non-null   float64\n",
            " 55  2035            51436 non-null   float64\n",
            " 56  2040            51436 non-null   float64\n",
            " 57  2045            51436 non-null   float64\n",
            " 58  2050            51436 non-null   float64\n",
            " 59  2055            51436 non-null   float64\n",
            " 60  2060            51436 non-null   float64\n",
            " 61  2065            51436 non-null   float64\n",
            " 62  2070            51436 non-null   float64\n",
            " 63  2075            51436 non-null   float64\n",
            " 64  2080            51436 non-null   float64\n",
            " 65  2085            51436 non-null   float64\n",
            " 66  2090            51436 non-null   float64\n",
            " 67  2095            51436 non-null   float64\n",
            " 68  2100            51436 non-null   float64\n",
            " 69  Unnamed: 69     0 non-null       float64\n",
            "dtypes: float64(66), object(4)\n",
            "memory usage: 473.7+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3.drop('Unnamed: 69', axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "uTnIPto9xj2o"
      },
      "execution_count": 103,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df3.head(20)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "a5nqKDBMzdeg",
        "outputId": "5c951a2f-412b-4434-f86c-125872a9e0af"
      },
      "execution_count": 104,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Country Name Country Code  \\\n",
              "0    Arab World          ARB   \n",
              "1    Arab World          ARB   \n",
              "2    Arab World          ARB   \n",
              "3    Arab World          ARB   \n",
              "4    Arab World          ARB   \n",
              "5    Arab World          ARB   \n",
              "6    Arab World          ARB   \n",
              "7    Arab World          ARB   \n",
              "8    Arab World          ARB   \n",
              "9    Arab World          ARB   \n",
              "10   Arab World          ARB   \n",
              "11   Arab World          ARB   \n",
              "12   Arab World          ARB   \n",
              "13   Arab World          ARB   \n",
              "14   Arab World          ARB   \n",
              "15   Arab World          ARB   \n",
              "16   Arab World          ARB   \n",
              "17   Arab World          ARB   \n",
              "18   Arab World          ARB   \n",
              "19   Arab World          ARB   \n",
              "\n",
              "                                       Indicator Name    Indicator Code  \\\n",
              "0   Adjusted net enrolment rate, lower secondary, ...        UIS.NERA.2   \n",
              "1   Adjusted net enrolment rate, lower secondary, ...      UIS.NERA.2.F   \n",
              "2   Adjusted net enrolment rate, lower secondary, ...    UIS.NERA.2.GPI   \n",
              "3   Adjusted net enrolment rate, lower secondary, ...      UIS.NERA.2.M   \n",
              "4   Adjusted net enrolment rate, primary, both sex...       SE.PRM.TENR   \n",
              "5    Adjusted net enrolment rate, primary, female (%)    SE.PRM.TENR.FE   \n",
              "6   Adjusted net enrolment rate, primary, gender p...    UIS.NERA.1.GPI   \n",
              "7      Adjusted net enrolment rate, primary, male (%)    SE.PRM.TENR.MA   \n",
              "8   Adjusted net enrolment rate, upper secondary, ...        UIS.NERA.3   \n",
              "9   Adjusted net enrolment rate, upper secondary, ...      UIS.NERA.3.F   \n",
              "10  Adjusted net enrolment rate, upper secondary, ...    UIS.NERA.3.GPI   \n",
              "11  Adjusted net enrolment rate, upper secondary, ...      UIS.NERA.3.M   \n",
              "12  Adjusted net intake rate to Grade 1 of primary...        UIS.NIRA.1   \n",
              "13  Adjusted net intake rate to Grade 1 of primary...      UIS.NIRA.1.F   \n",
              "14  Adjusted net intake rate to Grade 1 of primary...    UIS.NIRA.1.GPI   \n",
              "15  Adjusted net intake rate to Grade 1 of primary...      UIS.NIRA.1.M   \n",
              "16   Adult illiterate population, 15+ years, % female   UIS.LPP.AG15T99   \n",
              "17  Adult illiterate population, 15+ years, both s...    UIS.LP.AG15T99   \n",
              "18  Adult illiterate population, 15+ years, female...  UIS.LP.AG15T99.F   \n",
              "19  Adult illiterate population, 15+ years, male (...  UIS.LP.AG15T99.M   \n",
              "\n",
              "         1970       1971       1972       1973       1974       1975  \\\n",
              "0         NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "1         NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "2         NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "3         NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "4   54.822121  54.894138  56.209438  57.267109  57.991138  59.365540   \n",
              "5   43.351101  43.318150  44.640701  45.845718  46.449501  48.363892   \n",
              "6    0.658570   0.656400   0.663290   0.672040   0.672610   0.691760   \n",
              "7   65.826233  65.993584  67.301857  68.219078  69.059013  69.914551   \n",
              "8         NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "9         NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "10        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "11        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "12  52.448921  52.489750  52.635593  53.327000  54.184654  54.865627   \n",
              "13  44.342487  44.255711  44.446136  45.270443  46.171814  47.062019   \n",
              "14   0.736340   0.732880   0.734730   0.741420   0.746210   0.754740   \n",
              "15  60.220436  60.386391  60.493145  61.059116  61.874802  62.355183   \n",
              "16        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "17        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "18        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "19        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "\n",
              "         1976       1977       1978       1979       1980       1981  \\\n",
              "0         NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "1         NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "2         NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "3         NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "4   60.999962  61.922680  62.693420  64.383186  65.617767  66.085152   \n",
              "5   50.046188  51.245281  52.242321  54.754372  56.486790  57.314659   \n",
              "6    0.699950   0.710140   0.718430   0.743740   0.759440   0.769250   \n",
              "7   71.499512  72.162064  72.717690  73.619972  74.379982  74.507133   \n",
              "8         NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "9         NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "10        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "11        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "12  58.701626  58.876965  59.452522  62.776375  62.559566  62.594330   \n",
              "13  50.178757  51.178894  51.830448  56.041924  55.969101  56.209759   \n",
              "14   0.750240   0.772300   0.776240   0.809390   0.812520   0.817960   \n",
              "15  66.883728  66.268242  66.770752  69.239853  68.883041  68.719292   \n",
              "16        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "17        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "18        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "19        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "\n",
              "         1982       1983       1984          1985          1986          1987  \\\n",
              "0         NaN        NaN        NaN           NaN           NaN           NaN   \n",
              "1         NaN        NaN        NaN           NaN           NaN           NaN   \n",
              "2         NaN        NaN        NaN           NaN           NaN           NaN   \n",
              "3         NaN        NaN        NaN           NaN           NaN           NaN   \n",
              "4   66.608139  67.290451  68.510094  6.903321e+01  6.994491e+01  7.104187e+01   \n",
              "5   58.226051  59.289230  60.748180  6.152087e+01  6.273495e+01  6.411588e+01   \n",
              "6    0.779860   0.790710   0.799610  8.067700e-01  8.160600e-01  8.251300e-01   \n",
              "7   74.662628  74.981827  75.972542  7.625549e+01  7.687505e+01  7.770386e+01   \n",
              "8         NaN        NaN        NaN           NaN           NaN           NaN   \n",
              "9         NaN        NaN        NaN           NaN           NaN           NaN   \n",
              "10        NaN        NaN        NaN           NaN           NaN           NaN   \n",
              "11        NaN        NaN        NaN           NaN           NaN           NaN   \n",
              "12  62.447292  63.409138  65.837379  6.461309e+01  6.592690e+01  6.677563e+01   \n",
              "13  56.309486  57.371712  59.695942  5.911292e+01  6.058879e+01  6.168851e+01   \n",
              "14   0.824060   0.829120   0.832300  8.458600e-01  8.528200e-01  8.609200e-01   \n",
              "15  68.331848  69.195564  71.723999  6.988475e+01  7.104560e+01  7.165439e+01   \n",
              "16        NaN        NaN        NaN  6.328000e+01  6.328000e+01  6.328000e+01   \n",
              "17        NaN        NaN        NaN  6.031946e+07  6.031946e+07  6.031946e+07   \n",
              "18        NaN        NaN        NaN  3.816958e+07  3.816958e+07  3.816958e+07   \n",
              "19        NaN        NaN        NaN  2.214988e+07  2.214988e+07  2.214988e+07   \n",
              "\n",
              "            1988          1989          1990          1991          1992  \\\n",
              "0            NaN           NaN           NaN           NaN           NaN   \n",
              "1            NaN           NaN           NaN           NaN           NaN   \n",
              "2            NaN           NaN           NaN           NaN           NaN   \n",
              "3            NaN           NaN           NaN           NaN           NaN   \n",
              "4   7.169378e+01  7.169910e+01  7.199582e+01  7.260284e+01  7.003272e+01   \n",
              "5   6.509966e+01  6.512920e+01  6.582749e+01  6.679703e+01  6.326043e+01   \n",
              "6   8.341900e-01  8.347600e-01  8.446600e-01  8.543200e-01  8.264900e-01   \n",
              "7   7.803937e+01  7.802189e+01  7.793385e+01  7.818749e+01  7.654110e+01   \n",
              "8            NaN           NaN           NaN           NaN           NaN   \n",
              "9            NaN           NaN           NaN           NaN           NaN   \n",
              "10           NaN           NaN           NaN           NaN           NaN   \n",
              "11           NaN           NaN           NaN           NaN           NaN   \n",
              "12  6.644735e+01  6.693183e+01  6.708044e+01  6.750871e+01  6.765328e+01   \n",
              "13  6.145328e+01  6.198841e+01  6.242702e+01  6.308906e+01  6.351643e+01   \n",
              "14  8.626300e-01  8.648200e-01  8.724900e-01  8.792300e-01  8.867200e-01   \n",
              "15  7.123928e+01  7.167796e+01  7.155010e+01  7.175471e+01  7.163112e+01   \n",
              "16  6.328000e+01  6.328000e+01  6.328000e+01  6.328000e+01  6.328000e+01   \n",
              "17  6.031946e+07  6.031946e+07  6.031946e+07  6.031946e+07  6.031946e+07   \n",
              "18  3.816958e+07  3.816958e+07  3.816958e+07  3.816958e+07  3.816958e+07   \n",
              "19  2.214988e+07  2.214988e+07  2.214988e+07  2.214988e+07  2.214988e+07   \n",
              "\n",
              "            1993          1994          1995          1996          1997  \\\n",
              "0            NaN           NaN           NaN           NaN           NaN   \n",
              "1            NaN           NaN           NaN           NaN           NaN   \n",
              "2            NaN           NaN           NaN           NaN           NaN   \n",
              "3            NaN           NaN           NaN           NaN           NaN   \n",
              "4   7.046482e+01  7.264568e+01  7.181176e+01  7.390351e+01  7.442520e+01   \n",
              "5   6.397211e+01  6.703304e+01  6.576156e+01  6.878080e+01  6.926705e+01   \n",
              "6   8.340800e-01  8.590900e-01  8.473100e-01  8.726600e-01  8.726900e-01   \n",
              "7   7.669742e+01  7.802813e+01  7.761190e+01  7.881749e+01  7.937204e+01   \n",
              "8            NaN           NaN           NaN           NaN           NaN   \n",
              "9            NaN           NaN           NaN           NaN           NaN   \n",
              "10           NaN           NaN           NaN           NaN           NaN   \n",
              "11           NaN           NaN           NaN           NaN           NaN   \n",
              "12  6.744469e+01  6.865227e+01  6.920802e+01  6.865168e+01  6.961156e+01   \n",
              "13  6.355563e+01  6.503413e+01  6.588937e+01  6.558762e+01  6.685204e+01   \n",
              "14  8.928200e-01  9.016000e-01  9.101200e-01  9.161200e-01  9.251700e-01   \n",
              "15  7.118494e+01  7.213161e+01  7.239637e+01  7.159293e+01  7.225952e+01   \n",
              "16  6.328000e+01  6.328000e+01  6.436000e+01  6.436000e+01  6.436000e+01   \n",
              "17  6.031946e+07  6.031946e+07  6.155295e+07  6.155295e+07  6.155295e+07   \n",
              "18  3.816958e+07  3.816958e+07  3.961286e+07  3.961286e+07  3.961286e+07   \n",
              "19  2.214988e+07  2.214988e+07  2.194009e+07  2.194009e+07  2.194009e+07   \n",
              "\n",
              "            1998          1999          2000          2001          2002  \\\n",
              "0            NaN           NaN           NaN           NaN           NaN   \n",
              "1            NaN           NaN           NaN           NaN           NaN   \n",
              "2            NaN           NaN           NaN           NaN           NaN   \n",
              "3            NaN           NaN           NaN           NaN           NaN   \n",
              "4   7.511082e+01  7.625432e+01  7.724568e+01  7.880052e+01  8.005140e+01   \n",
              "5   7.043539e+01  7.204729e+01  7.327562e+01  7.513298e+01  7.664102e+01   \n",
              "6   8.849400e-01  8.973700e-01  9.040600e-01  9.127500e-01  9.197900e-01   \n",
              "7   7.959354e+01  8.028753e+01  8.105137e+01  8.231505e+01  8.332406e+01   \n",
              "8            NaN           NaN           NaN           NaN           NaN   \n",
              "9            NaN           NaN           NaN           NaN           NaN   \n",
              "10           NaN           NaN           NaN           NaN           NaN   \n",
              "11           NaN           NaN           NaN           NaN           NaN   \n",
              "12  6.686764e+01  6.832169e+01  7.073758e+01  7.359420e+01  7.497616e+01   \n",
              "13  6.492145e+01  6.672591e+01  6.910516e+01  7.218710e+01  7.358050e+01   \n",
              "14  9.444900e-01  9.551900e-01  9.557000e-01  9.631500e-01  9.641100e-01   \n",
              "15  6.873699e+01  6.985613e+01  7.230811e+01  7.494888e+01  7.631933e+01   \n",
              "16  6.436000e+01  6.436000e+01  6.436000e+01  6.436000e+01  6.436000e+01   \n",
              "17  6.155295e+07  6.155295e+07  6.155295e+07  6.155295e+07  6.155295e+07   \n",
              "18  3.961286e+07  3.961286e+07  3.961286e+07  3.961286e+07  3.961286e+07   \n",
              "19  2.194009e+07  2.194009e+07  2.194009e+07  2.194009e+07  2.194009e+07   \n",
              "\n",
              "            2003          2004          2005          2006          2007  \\\n",
              "0            NaN           NaN           NaN           NaN           NaN   \n",
              "1            NaN           NaN           NaN           NaN           NaN   \n",
              "2            NaN           NaN           NaN           NaN           NaN   \n",
              "3            NaN           NaN           NaN           NaN           NaN   \n",
              "4   8.080539e+01  8.160706e+01  8.248949e+01  8.268551e+01  8.328034e+01   \n",
              "5   7.765358e+01  7.848540e+01  7.947577e+01  7.960833e+01  8.058242e+01   \n",
              "6   9.263000e-01  9.276800e-01  9.308400e-01  9.296200e-01  9.384600e-01   \n",
              "7   8.383223e+01  8.460439e+01  8.538029e+01  8.563508e+01  8.586669e+01   \n",
              "8            NaN           NaN           NaN           NaN           NaN   \n",
              "9            NaN           NaN           NaN           NaN           NaN   \n",
              "10           NaN           NaN           NaN           NaN           NaN   \n",
              "11           NaN           NaN           NaN           NaN           NaN   \n",
              "12  7.532858e+01  7.642851e+01  7.613177e+01  7.522256e+01  7.559570e+01   \n",
              "13  7.401929e+01  7.533356e+01  7.512179e+01  7.451556e+01  7.506990e+01   \n",
              "14  9.664500e-01  9.722700e-01  9.743000e-01  9.817100e-01  9.864300e-01   \n",
              "15  7.658868e+01  7.748222e+01  7.710371e+01  7.590380e+01  7.610224e+01   \n",
              "16  6.436000e+01  6.436000e+01  6.489000e+01  6.489000e+01  6.489000e+01   \n",
              "17  6.155295e+07  6.155295e+07  5.569861e+07  5.569861e+07  5.569861e+07   \n",
              "18  3.961286e+07  3.961286e+07  3.614376e+07  3.614376e+07  3.614376e+07   \n",
              "19  2.194009e+07  2.194009e+07  1.955485e+07  1.955485e+07  1.955485e+07   \n",
              "\n",
              "            2008          2009          2010          2011          2012  \\\n",
              "0            NaN           NaN           NaN           NaN           NaN   \n",
              "1            NaN           NaN           NaN           NaN           NaN   \n",
              "2            NaN           NaN           NaN           NaN           NaN   \n",
              "3            NaN           NaN           NaN           NaN           NaN   \n",
              "4   8.401187e+01  8.419596e+01  8.521200e+01  8.524514e+01  8.610167e+01   \n",
              "5   8.147380e+01  8.169569e+01  8.287165e+01  8.286139e+01  8.440141e+01   \n",
              "6   9.425000e-01  9.434700e-01  9.476200e-01  9.467000e-01  9.620800e-01   \n",
              "7   8.644414e+01  8.659069e+01  8.745258e+01  8.752652e+01  8.772817e+01   \n",
              "8            NaN           NaN           NaN           NaN           NaN   \n",
              "9            NaN           NaN           NaN           NaN           NaN   \n",
              "10           NaN           NaN           NaN           NaN           NaN   \n",
              "11           NaN           NaN           NaN           NaN           NaN   \n",
              "12  7.489394e+01  7.481455e+01  7.619704e+01  7.647497e+01  7.731937e+01   \n",
              "13           NaN           NaN  7.585642e+01  7.586063e+01  7.681026e+01   \n",
              "14           NaN           NaN  9.912800e-01  9.843900e-01  9.872000e-01   \n",
              "15           NaN           NaN  7.652393e+01  7.706347e+01  7.780654e+01   \n",
              "16  6.489000e+01  6.489000e+01  6.489000e+01  6.489000e+01  6.489000e+01   \n",
              "17  5.569861e+07  5.569861e+07  5.569861e+07  5.569861e+07  5.569861e+07   \n",
              "18  3.614376e+07  3.614376e+07  3.614376e+07  3.614376e+07  3.614376e+07   \n",
              "19  1.955485e+07  1.955485e+07  1.955485e+07  1.955485e+07  1.955485e+07   \n",
              "\n",
              "            2013          2014  2015  2016  2017  2020  2025  2030  2035  \\\n",
              "0            NaN           NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "1            NaN           NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "2            NaN           NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "3            NaN           NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "4   8.551194e+01  8.532015e+01   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "5   8.391403e+01  8.382083e+01   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "6   9.640900e-01  9.662000e-01   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "7   8.703988e+01  8.675339e+01   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "8            NaN           NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "9            NaN           NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "10           NaN           NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "11           NaN           NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "12  7.656671e+01  7.662057e+01   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "13  7.625256e+01  7.645245e+01   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "14  9.920000e-01  9.957100e-01   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "15  7.686738e+01  7.678182e+01   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "16  6.489000e+01  6.489000e+01   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "17  5.569861e+07  5.569861e+07   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "18  3.614376e+07  3.614376e+07   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "19  1.955485e+07  1.955485e+07   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "\n",
              "    2040  2045  2050  2055  2060  2065  2070  2075  2080  2085  2090  2095  \\\n",
              "0    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "1    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "2    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "3    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "4    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "5    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "6    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "7    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "8    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "9    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "10   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "11   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "12   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "13   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "14   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "15   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "16   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "17   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "18   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "19   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "\n",
              "    2100  \n",
              "0    NaN  \n",
              "1    NaN  \n",
              "2    NaN  \n",
              "3    NaN  \n",
              "4    NaN  \n",
              "5    NaN  \n",
              "6    NaN  \n",
              "7    NaN  \n",
              "8    NaN  \n",
              "9    NaN  \n",
              "10   NaN  \n",
              "11   NaN  \n",
              "12   NaN  \n",
              "13   NaN  \n",
              "14   NaN  \n",
              "15   NaN  \n",
              "16   NaN  \n",
              "17   NaN  \n",
              "18   NaN  \n",
              "19   NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-56ab5e53-8f00-44e3-a3b9-481e48ba9c67\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Country Name</th>\n",
              "      <th>Country Code</th>\n",
              "      <th>Indicator Name</th>\n",
              "      <th>Indicator Code</th>\n",
              "      <th>1970</th>\n",
              "      <th>1971</th>\n",
              "      <th>1972</th>\n",
              "      <th>1973</th>\n",
              "      <th>1974</th>\n",
              "      <th>1975</th>\n",
              "      <th>1976</th>\n",
              "      <th>1977</th>\n",
              "      <th>1978</th>\n",
              "      <th>1979</th>\n",
              "      <th>1980</th>\n",
              "      <th>1981</th>\n",
              "      <th>1982</th>\n",
              "      <th>1983</th>\n",
              "      <th>1984</th>\n",
              "      <th>1985</th>\n",
              "      <th>1986</th>\n",
              "      <th>1987</th>\n",
              "      <th>1988</th>\n",
              "      <th>1989</th>\n",
              "      <th>1990</th>\n",
              "      <th>1991</th>\n",
              "      <th>1992</th>\n",
              "      <th>1993</th>\n",
              "      <th>1994</th>\n",
              "      <th>1995</th>\n",
              "      <th>1996</th>\n",
              "      <th>1997</th>\n",
              "      <th>1998</th>\n",
              "      <th>1999</th>\n",
              "      <th>2000</th>\n",
              "      <th>2001</th>\n",
              "      <th>2002</th>\n",
              "      <th>2003</th>\n",
              "      <th>2004</th>\n",
              "      <th>2005</th>\n",
              "      <th>2006</th>\n",
              "      <th>2007</th>\n",
              "      <th>2008</th>\n",
              "      <th>2009</th>\n",
              "      <th>2010</th>\n",
              "      <th>2011</th>\n",
              "      <th>2012</th>\n",
              "      <th>2013</th>\n",
              "      <th>2014</th>\n",
              "      <th>2015</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2020</th>\n",
              "      <th>2025</th>\n",
              "      <th>2030</th>\n",
              "      <th>2035</th>\n",
              "      <th>2040</th>\n",
              "      <th>2045</th>\n",
              "      <th>2050</th>\n",
              "      <th>2055</th>\n",
              "      <th>2060</th>\n",
              "      <th>2065</th>\n",
              "      <th>2070</th>\n",
              "      <th>2075</th>\n",
              "      <th>2080</th>\n",
              "      <th>2085</th>\n",
              "      <th>2090</th>\n",
              "      <th>2095</th>\n",
              "      <th>2100</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2.F</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2.GPI</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2.M</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, primary, both sex...</td>\n",
              "      <td>SE.PRM.TENR</td>\n",
              "      <td>54.822121</td>\n",
              "      <td>54.894138</td>\n",
              "      <td>56.209438</td>\n",
              "      <td>57.267109</td>\n",
              "      <td>57.991138</td>\n",
              "      <td>59.365540</td>\n",
              "      <td>60.999962</td>\n",
              "      <td>61.922680</td>\n",
              "      <td>62.693420</td>\n",
              "      <td>64.383186</td>\n",
              "      <td>65.617767</td>\n",
              "      <td>66.085152</td>\n",
              "      <td>66.608139</td>\n",
              "      <td>67.290451</td>\n",
              "      <td>68.510094</td>\n",
              "      <td>6.903321e+01</td>\n",
              "      <td>6.994491e+01</td>\n",
              "      <td>7.104187e+01</td>\n",
              "      <td>7.169378e+01</td>\n",
              "      <td>7.169910e+01</td>\n",
              "      <td>7.199582e+01</td>\n",
              "      <td>7.260284e+01</td>\n",
              "      <td>7.003272e+01</td>\n",
              "      <td>7.046482e+01</td>\n",
              "      <td>7.264568e+01</td>\n",
              "      <td>7.181176e+01</td>\n",
              "      <td>7.390351e+01</td>\n",
              "      <td>7.442520e+01</td>\n",
              "      <td>7.511082e+01</td>\n",
              "      <td>7.625432e+01</td>\n",
              "      <td>7.724568e+01</td>\n",
              "      <td>7.880052e+01</td>\n",
              "      <td>8.005140e+01</td>\n",
              "      <td>8.080539e+01</td>\n",
              "      <td>8.160706e+01</td>\n",
              "      <td>8.248949e+01</td>\n",
              "      <td>8.268551e+01</td>\n",
              "      <td>8.328034e+01</td>\n",
              "      <td>8.401187e+01</td>\n",
              "      <td>8.419596e+01</td>\n",
              "      <td>8.521200e+01</td>\n",
              "      <td>8.524514e+01</td>\n",
              "      <td>8.610167e+01</td>\n",
              "      <td>8.551194e+01</td>\n",
              "      <td>8.532015e+01</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, primary, female (%)</td>\n",
              "      <td>SE.PRM.TENR.FE</td>\n",
              "      <td>43.351101</td>\n",
              "      <td>43.318150</td>\n",
              "      <td>44.640701</td>\n",
              "      <td>45.845718</td>\n",
              "      <td>46.449501</td>\n",
              "      <td>48.363892</td>\n",
              "      <td>50.046188</td>\n",
              "      <td>51.245281</td>\n",
              "      <td>52.242321</td>\n",
              "      <td>54.754372</td>\n",
              "      <td>56.486790</td>\n",
              "      <td>57.314659</td>\n",
              "      <td>58.226051</td>\n",
              "      <td>59.289230</td>\n",
              "      <td>60.748180</td>\n",
              "      <td>6.152087e+01</td>\n",
              "      <td>6.273495e+01</td>\n",
              "      <td>6.411588e+01</td>\n",
              "      <td>6.509966e+01</td>\n",
              "      <td>6.512920e+01</td>\n",
              "      <td>6.582749e+01</td>\n",
              "      <td>6.679703e+01</td>\n",
              "      <td>6.326043e+01</td>\n",
              "      <td>6.397211e+01</td>\n",
              "      <td>6.703304e+01</td>\n",
              "      <td>6.576156e+01</td>\n",
              "      <td>6.878080e+01</td>\n",
              "      <td>6.926705e+01</td>\n",
              "      <td>7.043539e+01</td>\n",
              "      <td>7.204729e+01</td>\n",
              "      <td>7.327562e+01</td>\n",
              "      <td>7.513298e+01</td>\n",
              "      <td>7.664102e+01</td>\n",
              "      <td>7.765358e+01</td>\n",
              "      <td>7.848540e+01</td>\n",
              "      <td>7.947577e+01</td>\n",
              "      <td>7.960833e+01</td>\n",
              "      <td>8.058242e+01</td>\n",
              "      <td>8.147380e+01</td>\n",
              "      <td>8.169569e+01</td>\n",
              "      <td>8.287165e+01</td>\n",
              "      <td>8.286139e+01</td>\n",
              "      <td>8.440141e+01</td>\n",
              "      <td>8.391403e+01</td>\n",
              "      <td>8.382083e+01</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, primary, gender p...</td>\n",
              "      <td>UIS.NERA.1.GPI</td>\n",
              "      <td>0.658570</td>\n",
              "      <td>0.656400</td>\n",
              "      <td>0.663290</td>\n",
              "      <td>0.672040</td>\n",
              "      <td>0.672610</td>\n",
              "      <td>0.691760</td>\n",
              "      <td>0.699950</td>\n",
              "      <td>0.710140</td>\n",
              "      <td>0.718430</td>\n",
              "      <td>0.743740</td>\n",
              "      <td>0.759440</td>\n",
              "      <td>0.769250</td>\n",
              "      <td>0.779860</td>\n",
              "      <td>0.790710</td>\n",
              "      <td>0.799610</td>\n",
              "      <td>8.067700e-01</td>\n",
              "      <td>8.160600e-01</td>\n",
              "      <td>8.251300e-01</td>\n",
              "      <td>8.341900e-01</td>\n",
              "      <td>8.347600e-01</td>\n",
              "      <td>8.446600e-01</td>\n",
              "      <td>8.543200e-01</td>\n",
              "      <td>8.264900e-01</td>\n",
              "      <td>8.340800e-01</td>\n",
              "      <td>8.590900e-01</td>\n",
              "      <td>8.473100e-01</td>\n",
              "      <td>8.726600e-01</td>\n",
              "      <td>8.726900e-01</td>\n",
              "      <td>8.849400e-01</td>\n",
              "      <td>8.973700e-01</td>\n",
              "      <td>9.040600e-01</td>\n",
              "      <td>9.127500e-01</td>\n",
              "      <td>9.197900e-01</td>\n",
              "      <td>9.263000e-01</td>\n",
              "      <td>9.276800e-01</td>\n",
              "      <td>9.308400e-01</td>\n",
              "      <td>9.296200e-01</td>\n",
              "      <td>9.384600e-01</td>\n",
              "      <td>9.425000e-01</td>\n",
              "      <td>9.434700e-01</td>\n",
              "      <td>9.476200e-01</td>\n",
              "      <td>9.467000e-01</td>\n",
              "      <td>9.620800e-01</td>\n",
              "      <td>9.640900e-01</td>\n",
              "      <td>9.662000e-01</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, primary, male (%)</td>\n",
              "      <td>SE.PRM.TENR.MA</td>\n",
              "      <td>65.826233</td>\n",
              "      <td>65.993584</td>\n",
              "      <td>67.301857</td>\n",
              "      <td>68.219078</td>\n",
              "      <td>69.059013</td>\n",
              "      <td>69.914551</td>\n",
              "      <td>71.499512</td>\n",
              "      <td>72.162064</td>\n",
              "      <td>72.717690</td>\n",
              "      <td>73.619972</td>\n",
              "      <td>74.379982</td>\n",
              "      <td>74.507133</td>\n",
              "      <td>74.662628</td>\n",
              "      <td>74.981827</td>\n",
              "      <td>75.972542</td>\n",
              "      <td>7.625549e+01</td>\n",
              "      <td>7.687505e+01</td>\n",
              "      <td>7.770386e+01</td>\n",
              "      <td>7.803937e+01</td>\n",
              "      <td>7.802189e+01</td>\n",
              "      <td>7.793385e+01</td>\n",
              "      <td>7.818749e+01</td>\n",
              "      <td>7.654110e+01</td>\n",
              "      <td>7.669742e+01</td>\n",
              "      <td>7.802813e+01</td>\n",
              "      <td>7.761190e+01</td>\n",
              "      <td>7.881749e+01</td>\n",
              "      <td>7.937204e+01</td>\n",
              "      <td>7.959354e+01</td>\n",
              "      <td>8.028753e+01</td>\n",
              "      <td>8.105137e+01</td>\n",
              "      <td>8.231505e+01</td>\n",
              "      <td>8.332406e+01</td>\n",
              "      <td>8.383223e+01</td>\n",
              "      <td>8.460439e+01</td>\n",
              "      <td>8.538029e+01</td>\n",
              "      <td>8.563508e+01</td>\n",
              "      <td>8.586669e+01</td>\n",
              "      <td>8.644414e+01</td>\n",
              "      <td>8.659069e+01</td>\n",
              "      <td>8.745258e+01</td>\n",
              "      <td>8.752652e+01</td>\n",
              "      <td>8.772817e+01</td>\n",
              "      <td>8.703988e+01</td>\n",
              "      <td>8.675339e+01</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, upper secondary, ...</td>\n",
              "      <td>UIS.NERA.3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, upper secondary, ...</td>\n",
              "      <td>UIS.NERA.3.F</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, upper secondary, ...</td>\n",
              "      <td>UIS.NERA.3.GPI</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, upper secondary, ...</td>\n",
              "      <td>UIS.NERA.3.M</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net intake rate to Grade 1 of primary...</td>\n",
              "      <td>UIS.NIRA.1</td>\n",
              "      <td>52.448921</td>\n",
              "      <td>52.489750</td>\n",
              "      <td>52.635593</td>\n",
              "      <td>53.327000</td>\n",
              "      <td>54.184654</td>\n",
              "      <td>54.865627</td>\n",
              "      <td>58.701626</td>\n",
              "      <td>58.876965</td>\n",
              "      <td>59.452522</td>\n",
              "      <td>62.776375</td>\n",
              "      <td>62.559566</td>\n",
              "      <td>62.594330</td>\n",
              "      <td>62.447292</td>\n",
              "      <td>63.409138</td>\n",
              "      <td>65.837379</td>\n",
              "      <td>6.461309e+01</td>\n",
              "      <td>6.592690e+01</td>\n",
              "      <td>6.677563e+01</td>\n",
              "      <td>6.644735e+01</td>\n",
              "      <td>6.693183e+01</td>\n",
              "      <td>6.708044e+01</td>\n",
              "      <td>6.750871e+01</td>\n",
              "      <td>6.765328e+01</td>\n",
              "      <td>6.744469e+01</td>\n",
              "      <td>6.865227e+01</td>\n",
              "      <td>6.920802e+01</td>\n",
              "      <td>6.865168e+01</td>\n",
              "      <td>6.961156e+01</td>\n",
              "      <td>6.686764e+01</td>\n",
              "      <td>6.832169e+01</td>\n",
              "      <td>7.073758e+01</td>\n",
              "      <td>7.359420e+01</td>\n",
              "      <td>7.497616e+01</td>\n",
              "      <td>7.532858e+01</td>\n",
              "      <td>7.642851e+01</td>\n",
              "      <td>7.613177e+01</td>\n",
              "      <td>7.522256e+01</td>\n",
              "      <td>7.559570e+01</td>\n",
              "      <td>7.489394e+01</td>\n",
              "      <td>7.481455e+01</td>\n",
              "      <td>7.619704e+01</td>\n",
              "      <td>7.647497e+01</td>\n",
              "      <td>7.731937e+01</td>\n",
              "      <td>7.656671e+01</td>\n",
              "      <td>7.662057e+01</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net intake rate to Grade 1 of primary...</td>\n",
              "      <td>UIS.NIRA.1.F</td>\n",
              "      <td>44.342487</td>\n",
              "      <td>44.255711</td>\n",
              "      <td>44.446136</td>\n",
              "      <td>45.270443</td>\n",
              "      <td>46.171814</td>\n",
              "      <td>47.062019</td>\n",
              "      <td>50.178757</td>\n",
              "      <td>51.178894</td>\n",
              "      <td>51.830448</td>\n",
              "      <td>56.041924</td>\n",
              "      <td>55.969101</td>\n",
              "      <td>56.209759</td>\n",
              "      <td>56.309486</td>\n",
              "      <td>57.371712</td>\n",
              "      <td>59.695942</td>\n",
              "      <td>5.911292e+01</td>\n",
              "      <td>6.058879e+01</td>\n",
              "      <td>6.168851e+01</td>\n",
              "      <td>6.145328e+01</td>\n",
              "      <td>6.198841e+01</td>\n",
              "      <td>6.242702e+01</td>\n",
              "      <td>6.308906e+01</td>\n",
              "      <td>6.351643e+01</td>\n",
              "      <td>6.355563e+01</td>\n",
              "      <td>6.503413e+01</td>\n",
              "      <td>6.588937e+01</td>\n",
              "      <td>6.558762e+01</td>\n",
              "      <td>6.685204e+01</td>\n",
              "      <td>6.492145e+01</td>\n",
              "      <td>6.672591e+01</td>\n",
              "      <td>6.910516e+01</td>\n",
              "      <td>7.218710e+01</td>\n",
              "      <td>7.358050e+01</td>\n",
              "      <td>7.401929e+01</td>\n",
              "      <td>7.533356e+01</td>\n",
              "      <td>7.512179e+01</td>\n",
              "      <td>7.451556e+01</td>\n",
              "      <td>7.506990e+01</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.585642e+01</td>\n",
              "      <td>7.586063e+01</td>\n",
              "      <td>7.681026e+01</td>\n",
              "      <td>7.625256e+01</td>\n",
              "      <td>7.645245e+01</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net intake rate to Grade 1 of primary...</td>\n",
              "      <td>UIS.NIRA.1.GPI</td>\n",
              "      <td>0.736340</td>\n",
              "      <td>0.732880</td>\n",
              "      <td>0.734730</td>\n",
              "      <td>0.741420</td>\n",
              "      <td>0.746210</td>\n",
              "      <td>0.754740</td>\n",
              "      <td>0.750240</td>\n",
              "      <td>0.772300</td>\n",
              "      <td>0.776240</td>\n",
              "      <td>0.809390</td>\n",
              "      <td>0.812520</td>\n",
              "      <td>0.817960</td>\n",
              "      <td>0.824060</td>\n",
              "      <td>0.829120</td>\n",
              "      <td>0.832300</td>\n",
              "      <td>8.458600e-01</td>\n",
              "      <td>8.528200e-01</td>\n",
              "      <td>8.609200e-01</td>\n",
              "      <td>8.626300e-01</td>\n",
              "      <td>8.648200e-01</td>\n",
              "      <td>8.724900e-01</td>\n",
              "      <td>8.792300e-01</td>\n",
              "      <td>8.867200e-01</td>\n",
              "      <td>8.928200e-01</td>\n",
              "      <td>9.016000e-01</td>\n",
              "      <td>9.101200e-01</td>\n",
              "      <td>9.161200e-01</td>\n",
              "      <td>9.251700e-01</td>\n",
              "      <td>9.444900e-01</td>\n",
              "      <td>9.551900e-01</td>\n",
              "      <td>9.557000e-01</td>\n",
              "      <td>9.631500e-01</td>\n",
              "      <td>9.641100e-01</td>\n",
              "      <td>9.664500e-01</td>\n",
              "      <td>9.722700e-01</td>\n",
              "      <td>9.743000e-01</td>\n",
              "      <td>9.817100e-01</td>\n",
              "      <td>9.864300e-01</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9.912800e-01</td>\n",
              "      <td>9.843900e-01</td>\n",
              "      <td>9.872000e-01</td>\n",
              "      <td>9.920000e-01</td>\n",
              "      <td>9.957100e-01</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net intake rate to Grade 1 of primary...</td>\n",
              "      <td>UIS.NIRA.1.M</td>\n",
              "      <td>60.220436</td>\n",
              "      <td>60.386391</td>\n",
              "      <td>60.493145</td>\n",
              "      <td>61.059116</td>\n",
              "      <td>61.874802</td>\n",
              "      <td>62.355183</td>\n",
              "      <td>66.883728</td>\n",
              "      <td>66.268242</td>\n",
              "      <td>66.770752</td>\n",
              "      <td>69.239853</td>\n",
              "      <td>68.883041</td>\n",
              "      <td>68.719292</td>\n",
              "      <td>68.331848</td>\n",
              "      <td>69.195564</td>\n",
              "      <td>71.723999</td>\n",
              "      <td>6.988475e+01</td>\n",
              "      <td>7.104560e+01</td>\n",
              "      <td>7.165439e+01</td>\n",
              "      <td>7.123928e+01</td>\n",
              "      <td>7.167796e+01</td>\n",
              "      <td>7.155010e+01</td>\n",
              "      <td>7.175471e+01</td>\n",
              "      <td>7.163112e+01</td>\n",
              "      <td>7.118494e+01</td>\n",
              "      <td>7.213161e+01</td>\n",
              "      <td>7.239637e+01</td>\n",
              "      <td>7.159293e+01</td>\n",
              "      <td>7.225952e+01</td>\n",
              "      <td>6.873699e+01</td>\n",
              "      <td>6.985613e+01</td>\n",
              "      <td>7.230811e+01</td>\n",
              "      <td>7.494888e+01</td>\n",
              "      <td>7.631933e+01</td>\n",
              "      <td>7.658868e+01</td>\n",
              "      <td>7.748222e+01</td>\n",
              "      <td>7.710371e+01</td>\n",
              "      <td>7.590380e+01</td>\n",
              "      <td>7.610224e+01</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.652393e+01</td>\n",
              "      <td>7.706347e+01</td>\n",
              "      <td>7.780654e+01</td>\n",
              "      <td>7.686738e+01</td>\n",
              "      <td>7.678182e+01</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adult illiterate population, 15+ years, % female</td>\n",
              "      <td>UIS.LPP.AG15T99</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.328000e+01</td>\n",
              "      <td>6.328000e+01</td>\n",
              "      <td>6.328000e+01</td>\n",
              "      <td>6.328000e+01</td>\n",
              "      <td>6.328000e+01</td>\n",
              "      <td>6.328000e+01</td>\n",
              "      <td>6.328000e+01</td>\n",
              "      <td>6.328000e+01</td>\n",
              "      <td>6.328000e+01</td>\n",
              "      <td>6.328000e+01</td>\n",
              "      <td>6.436000e+01</td>\n",
              "      <td>6.436000e+01</td>\n",
              "      <td>6.436000e+01</td>\n",
              "      <td>6.436000e+01</td>\n",
              "      <td>6.436000e+01</td>\n",
              "      <td>6.436000e+01</td>\n",
              "      <td>6.436000e+01</td>\n",
              "      <td>6.436000e+01</td>\n",
              "      <td>6.436000e+01</td>\n",
              "      <td>6.436000e+01</td>\n",
              "      <td>6.489000e+01</td>\n",
              "      <td>6.489000e+01</td>\n",
              "      <td>6.489000e+01</td>\n",
              "      <td>6.489000e+01</td>\n",
              "      <td>6.489000e+01</td>\n",
              "      <td>6.489000e+01</td>\n",
              "      <td>6.489000e+01</td>\n",
              "      <td>6.489000e+01</td>\n",
              "      <td>6.489000e+01</td>\n",
              "      <td>6.489000e+01</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adult illiterate population, 15+ years, both s...</td>\n",
              "      <td>UIS.LP.AG15T99</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.031946e+07</td>\n",
              "      <td>6.031946e+07</td>\n",
              "      <td>6.031946e+07</td>\n",
              "      <td>6.031946e+07</td>\n",
              "      <td>6.031946e+07</td>\n",
              "      <td>6.031946e+07</td>\n",
              "      <td>6.031946e+07</td>\n",
              "      <td>6.031946e+07</td>\n",
              "      <td>6.031946e+07</td>\n",
              "      <td>6.031946e+07</td>\n",
              "      <td>6.155295e+07</td>\n",
              "      <td>6.155295e+07</td>\n",
              "      <td>6.155295e+07</td>\n",
              "      <td>6.155295e+07</td>\n",
              "      <td>6.155295e+07</td>\n",
              "      <td>6.155295e+07</td>\n",
              "      <td>6.155295e+07</td>\n",
              "      <td>6.155295e+07</td>\n",
              "      <td>6.155295e+07</td>\n",
              "      <td>6.155295e+07</td>\n",
              "      <td>5.569861e+07</td>\n",
              "      <td>5.569861e+07</td>\n",
              "      <td>5.569861e+07</td>\n",
              "      <td>5.569861e+07</td>\n",
              "      <td>5.569861e+07</td>\n",
              "      <td>5.569861e+07</td>\n",
              "      <td>5.569861e+07</td>\n",
              "      <td>5.569861e+07</td>\n",
              "      <td>5.569861e+07</td>\n",
              "      <td>5.569861e+07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adult illiterate population, 15+ years, female...</td>\n",
              "      <td>UIS.LP.AG15T99.F</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.816958e+07</td>\n",
              "      <td>3.816958e+07</td>\n",
              "      <td>3.816958e+07</td>\n",
              "      <td>3.816958e+07</td>\n",
              "      <td>3.816958e+07</td>\n",
              "      <td>3.816958e+07</td>\n",
              "      <td>3.816958e+07</td>\n",
              "      <td>3.816958e+07</td>\n",
              "      <td>3.816958e+07</td>\n",
              "      <td>3.816958e+07</td>\n",
              "      <td>3.961286e+07</td>\n",
              "      <td>3.961286e+07</td>\n",
              "      <td>3.961286e+07</td>\n",
              "      <td>3.961286e+07</td>\n",
              "      <td>3.961286e+07</td>\n",
              "      <td>3.961286e+07</td>\n",
              "      <td>3.961286e+07</td>\n",
              "      <td>3.961286e+07</td>\n",
              "      <td>3.961286e+07</td>\n",
              "      <td>3.961286e+07</td>\n",
              "      <td>3.614376e+07</td>\n",
              "      <td>3.614376e+07</td>\n",
              "      <td>3.614376e+07</td>\n",
              "      <td>3.614376e+07</td>\n",
              "      <td>3.614376e+07</td>\n",
              "      <td>3.614376e+07</td>\n",
              "      <td>3.614376e+07</td>\n",
              "      <td>3.614376e+07</td>\n",
              "      <td>3.614376e+07</td>\n",
              "      <td>3.614376e+07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adult illiterate population, 15+ years, male (...</td>\n",
              "      <td>UIS.LP.AG15T99.M</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.214988e+07</td>\n",
              "      <td>2.214988e+07</td>\n",
              "      <td>2.214988e+07</td>\n",
              "      <td>2.214988e+07</td>\n",
              "      <td>2.214988e+07</td>\n",
              "      <td>2.214988e+07</td>\n",
              "      <td>2.214988e+07</td>\n",
              "      <td>2.214988e+07</td>\n",
              "      <td>2.214988e+07</td>\n",
              "      <td>2.214988e+07</td>\n",
              "      <td>2.194009e+07</td>\n",
              "      <td>2.194009e+07</td>\n",
              "      <td>2.194009e+07</td>\n",
              "      <td>2.194009e+07</td>\n",
              "      <td>2.194009e+07</td>\n",
              "      <td>2.194009e+07</td>\n",
              "      <td>2.194009e+07</td>\n",
              "      <td>2.194009e+07</td>\n",
              "      <td>2.194009e+07</td>\n",
              "      <td>2.194009e+07</td>\n",
              "      <td>1.955485e+07</td>\n",
              "      <td>1.955485e+07</td>\n",
              "      <td>1.955485e+07</td>\n",
              "      <td>1.955485e+07</td>\n",
              "      <td>1.955485e+07</td>\n",
              "      <td>1.955485e+07</td>\n",
              "      <td>1.955485e+07</td>\n",
              "      <td>1.955485e+07</td>\n",
              "      <td>1.955485e+07</td>\n",
              "      <td>1.955485e+07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-56ab5e53-8f00-44e3-a3b9-481e48ba9c67')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-56ab5e53-8f00-44e3-a3b9-481e48ba9c67 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-56ab5e53-8f00-44e3-a3b9-481e48ba9c67');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 104
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3.tail()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 721
        },
        "id": "Db0Y7k6Lzdg-",
        "outputId": "3481a8a6-dbe9-4164-978a-3eb3e11a9441"
      },
      "execution_count": 105,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Country Name Country Code  \\\n",
              "886925     Zimbabwe          ZWE   \n",
              "886926     Zimbabwe          ZWE   \n",
              "886927     Zimbabwe          ZWE   \n",
              "886928     Zimbabwe          ZWE   \n",
              "886929     Zimbabwe          ZWE   \n",
              "\n",
              "                                           Indicator Name  \\\n",
              "886925  Youth illiterate population, 15-24 years, male...   \n",
              "886926  Youth literacy rate, population 15-24 years, b...   \n",
              "886927  Youth literacy rate, population 15-24 years, f...   \n",
              "886928  Youth literacy rate, population 15-24 years, g...   \n",
              "886929  Youth literacy rate, population 15-24 years, m...   \n",
              "\n",
              "              Indicator Code  1970  1971  1972  1973  1974  1975  1976  1977  \\\n",
              "886925      UIS.LP.AG15T24.M   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "886926     SE.ADT.1524.LT.ZS   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "886927  SE.ADT.1524.LT.FE.ZS   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "886928  SE.ADT.1524.LT.FM.ZS   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "886929  SE.ADT.1524.LT.MA.ZS   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "\n",
              "        1978  1979  1980  1981          1982  1983  1984  1985  1986  1987  \\\n",
              "886925   NaN   NaN   NaN   NaN  47631.000000   NaN   NaN   NaN   NaN   NaN   \n",
              "886926   NaN   NaN   NaN   NaN     89.021851   NaN   NaN   NaN   NaN   NaN   \n",
              "886927   NaN   NaN   NaN   NaN     84.812241   NaN   NaN   NaN   NaN   NaN   \n",
              "886928   NaN   NaN   NaN   NaN      0.903920   NaN   NaN   NaN   NaN   NaN   \n",
              "886929   NaN   NaN   NaN   NaN     93.826958   NaN   NaN   NaN   NaN   NaN   \n",
              "\n",
              "        1988  1989  1990  1991          1992  1993  1994  1995  1996  1997  \\\n",
              "886925   NaN   NaN   NaN   NaN  38800.000000   NaN   NaN   NaN   NaN   NaN   \n",
              "886926   NaN   NaN   NaN   NaN     95.411362   NaN   NaN   NaN   NaN   NaN   \n",
              "886927   NaN   NaN   NaN   NaN     94.353439   NaN   NaN   NaN   NaN   NaN   \n",
              "886928   NaN   NaN   NaN   NaN      0.977340   NaN   NaN   NaN   NaN   NaN   \n",
              "886929   NaN   NaN   NaN   NaN     96.540619   NaN   NaN   NaN   NaN   NaN   \n",
              "\n",
              "        1998  1999  2000  2001  2002  2003  2004  2005  2006  2007  2008  \\\n",
              "886925   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "886926   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "886927   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "886928   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "886929   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "\n",
              "        2009  2010          2011  2012  2013          2014  2015  2016  2017  \\\n",
              "886925   NaN   NaN  166679.00000   NaN   NaN  199464.00000   NaN   NaN   NaN   \n",
              "886926   NaN   NaN      90.93070   NaN   NaN      90.42812   NaN   NaN   NaN   \n",
              "886927   NaN   NaN      92.12456   NaN   NaN      93.18835   NaN   NaN   NaN   \n",
              "886928   NaN   NaN       1.02828   NaN   NaN       1.06389   NaN   NaN   NaN   \n",
              "886929   NaN   NaN      89.59058   NaN   NaN      87.59186   NaN   NaN   NaN   \n",
              "\n",
              "        2020  2025  2030  2035  2040  2045  2050  2055  2060  2065  2070  \\\n",
              "886925   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "886926   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "886927   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "886928   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "886929   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "\n",
              "        2075  2080  2085  2090  2095  2100  \n",
              "886925   NaN   NaN   NaN   NaN   NaN   NaN  \n",
              "886926   NaN   NaN   NaN   NaN   NaN   NaN  \n",
              "886927   NaN   NaN   NaN   NaN   NaN   NaN  \n",
              "886928   NaN   NaN   NaN   NaN   NaN   NaN  \n",
              "886929   NaN   NaN   NaN   NaN   NaN   NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-eda3aa67-90c7-4ea8-b23f-5fd6214bddc6\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Country Name</th>\n",
              "      <th>Country Code</th>\n",
              "      <th>Indicator Name</th>\n",
              "      <th>Indicator Code</th>\n",
              "      <th>1970</th>\n",
              "      <th>1971</th>\n",
              "      <th>1972</th>\n",
              "      <th>1973</th>\n",
              "      <th>1974</th>\n",
              "      <th>1975</th>\n",
              "      <th>1976</th>\n",
              "      <th>1977</th>\n",
              "      <th>1978</th>\n",
              "      <th>1979</th>\n",
              "      <th>1980</th>\n",
              "      <th>1981</th>\n",
              "      <th>1982</th>\n",
              "      <th>1983</th>\n",
              "      <th>1984</th>\n",
              "      <th>1985</th>\n",
              "      <th>1986</th>\n",
              "      <th>1987</th>\n",
              "      <th>1988</th>\n",
              "      <th>1989</th>\n",
              "      <th>1990</th>\n",
              "      <th>1991</th>\n",
              "      <th>1992</th>\n",
              "      <th>1993</th>\n",
              "      <th>1994</th>\n",
              "      <th>1995</th>\n",
              "      <th>1996</th>\n",
              "      <th>1997</th>\n",
              "      <th>1998</th>\n",
              "      <th>1999</th>\n",
              "      <th>2000</th>\n",
              "      <th>2001</th>\n",
              "      <th>2002</th>\n",
              "      <th>2003</th>\n",
              "      <th>2004</th>\n",
              "      <th>2005</th>\n",
              "      <th>2006</th>\n",
              "      <th>2007</th>\n",
              "      <th>2008</th>\n",
              "      <th>2009</th>\n",
              "      <th>2010</th>\n",
              "      <th>2011</th>\n",
              "      <th>2012</th>\n",
              "      <th>2013</th>\n",
              "      <th>2014</th>\n",
              "      <th>2015</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2020</th>\n",
              "      <th>2025</th>\n",
              "      <th>2030</th>\n",
              "      <th>2035</th>\n",
              "      <th>2040</th>\n",
              "      <th>2045</th>\n",
              "      <th>2050</th>\n",
              "      <th>2055</th>\n",
              "      <th>2060</th>\n",
              "      <th>2065</th>\n",
              "      <th>2070</th>\n",
              "      <th>2075</th>\n",
              "      <th>2080</th>\n",
              "      <th>2085</th>\n",
              "      <th>2090</th>\n",
              "      <th>2095</th>\n",
              "      <th>2100</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>886925</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>Youth illiterate population, 15-24 years, male...</td>\n",
              "      <td>UIS.LP.AG15T24.M</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>47631.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>38800.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>166679.00000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>199464.00000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>886926</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>Youth literacy rate, population 15-24 years, b...</td>\n",
              "      <td>SE.ADT.1524.LT.ZS</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>89.021851</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>95.411362</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>90.93070</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>90.42812</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>886927</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>Youth literacy rate, population 15-24 years, f...</td>\n",
              "      <td>SE.ADT.1524.LT.FE.ZS</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>84.812241</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>94.353439</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>92.12456</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>93.18835</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>886928</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>Youth literacy rate, population 15-24 years, g...</td>\n",
              "      <td>SE.ADT.1524.LT.FM.ZS</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.903920</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.977340</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.02828</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.06389</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>886929</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>Youth literacy rate, population 15-24 years, m...</td>\n",
              "      <td>SE.ADT.1524.LT.MA.ZS</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>93.826958</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>96.540619</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>89.59058</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>87.59186</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-eda3aa67-90c7-4ea8-b23f-5fd6214bddc6')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-eda3aa67-90c7-4ea8-b23f-5fd6214bddc6 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-eda3aa67-90c7-4ea8-b23f-5fd6214bddc6');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 105
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "emQ_su6h3OK8",
        "outputId": "9316e72c-8922-4c6c-e667-d82a6485bc0d"
      },
      "execution_count": 106,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Country Name', 'Country Code', 'Indicator Name', 'Indicator Code',\n",
              "       '1970', '1971', '1972', '1973', '1974', '1975', '1976', '1977', '1978',\n",
              "       '1979', '1980', '1981', '1982', '1983', '1984', '1985', '1986', '1987',\n",
              "       '1988', '1989', '1990', '1991', '1992', '1993', '1994', '1995', '1996',\n",
              "       '1997', '1998', '1999', '2000', '2001', '2002', '2003', '2004', '2005',\n",
              "       '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014',\n",
              "       '2015', '2016', '2017', '2020', '2025', '2030', '2035', '2040', '2045',\n",
              "       '2050', '2055', '2060', '2065', '2070', '2075', '2080', '2085', '2090',\n",
              "       '2095', '2100'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 106
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "G9uv-Pro3OB2"
      },
      "execution_count": 106,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df4.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gfvCDWgAzdjr",
        "outputId": "400bcd40-ab31-4d76-a00c-ac888f5e052c"
      },
      "execution_count": 107,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(643638, 5)"
            ]
          },
          "metadata": {},
          "execution_count": 107
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df4.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "UeCXhriPzdlt",
        "outputId": "fb705be2-c4bc-424d-820c-8c756b592d25"
      },
      "execution_count": 108,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Unnamed: 4\n",
              "count         0.0\n",
              "mean          NaN\n",
              "std           NaN\n",
              "min           NaN\n",
              "25%           NaN\n",
              "50%           NaN\n",
              "75%           NaN\n",
              "max           NaN"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-224b1285-2f66-4886-b0c0-d489af419d03\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Unnamed: 4</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-224b1285-2f66-4886-b0c0-d489af419d03')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-224b1285-2f66-4886-b0c0-d489af419d03 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-224b1285-2f66-4886-b0c0-d489af419d03');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 108
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df4.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OaGpcZnezdr5",
        "outputId": "cc8bbf44-a20c-479d-b00c-7e4ff76e5c43"
      },
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 643638 entries, 0 to 643637\n",
            "Data columns (total 5 columns):\n",
            " #   Column       Non-Null Count   Dtype  \n",
            "---  ------       --------------   -----  \n",
            " 0   CountryCode  643638 non-null  object \n",
            " 1   SeriesCode   643638 non-null  object \n",
            " 2   Year         643638 non-null  object \n",
            " 3   DESCRIPTION  643638 non-null  object \n",
            " 4   Unnamed: 4   0 non-null       float64\n",
            "dtypes: float64(1), object(4)\n",
            "memory usage: 24.6+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df4.drop('Unnamed: 4', axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "0YhNstBTzdux"
      },
      "execution_count": 110,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df4.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "cl3gqEv3zdxO",
        "outputId": "706f83d7-42bb-4f56-bc77-71cf2f198916"
      },
      "execution_count": 111,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  CountryCode      SeriesCode    Year          DESCRIPTION\n",
              "0         ABW  SE.PRE.ENRL.FE  YR2001  Country estimation.\n",
              "1         ABW  SE.TER.TCHR.FE  YR2005  Country estimation.\n",
              "2         ABW  SE.PRE.TCHR.FE  YR2000  Country estimation.\n",
              "3         ABW  SE.SEC.ENRL.GC  YR2004  Country estimation.\n",
              "4         ABW     SE.PRE.TCHR  YR2006  Country estimation."
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-1b296726-fd39-41a8-a27b-8fcc809e346c\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>CountryCode</th>\n",
              "      <th>SeriesCode</th>\n",
              "      <th>Year</th>\n",
              "      <th>DESCRIPTION</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ABW</td>\n",
              "      <td>SE.PRE.ENRL.FE</td>\n",
              "      <td>YR2001</td>\n",
              "      <td>Country estimation.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ABW</td>\n",
              "      <td>SE.TER.TCHR.FE</td>\n",
              "      <td>YR2005</td>\n",
              "      <td>Country estimation.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ABW</td>\n",
              "      <td>SE.PRE.TCHR.FE</td>\n",
              "      <td>YR2000</td>\n",
              "      <td>Country estimation.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ABW</td>\n",
              "      <td>SE.SEC.ENRL.GC</td>\n",
              "      <td>YR2004</td>\n",
              "      <td>Country estimation.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ABW</td>\n",
              "      <td>SE.PRE.TCHR</td>\n",
              "      <td>YR2006</td>\n",
              "      <td>Country estimation.</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1b296726-fd39-41a8-a27b-8fcc809e346c')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-1b296726-fd39-41a8-a27b-8fcc809e346c button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-1b296726-fd39-41a8-a27b-8fcc809e346c');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 111
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df5.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Bokn4f5Zzd0e",
        "outputId": "1579bc58-f6c0-4464-fc69-89ce129f20b1"
      },
      "execution_count": 112,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3665, 21)"
            ]
          },
          "metadata": {},
          "execution_count": 112
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df5.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "0PUci2cw1Fvs",
        "outputId": "7b680840-6002-48fd-a126-9f3cf5e8965c"
      },
      "execution_count": 113,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Unit of measure  Notes from original source  Other web links  \\\n",
              "count              0.0                         0.0              0.0   \n",
              "mean               NaN                         NaN              NaN   \n",
              "std                NaN                         NaN              NaN   \n",
              "min                NaN                         NaN              NaN   \n",
              "25%                NaN                         NaN              NaN   \n",
              "50%                NaN                         NaN              NaN   \n",
              "75%                NaN                         NaN              NaN   \n",
              "max                NaN                         NaN              NaN   \n",
              "\n",
              "       Related indicators  License Type  Unnamed: 20  \n",
              "count                 0.0           0.0          0.0  \n",
              "mean                  NaN           NaN          NaN  \n",
              "std                   NaN           NaN          NaN  \n",
              "min                   NaN           NaN          NaN  \n",
              "25%                   NaN           NaN          NaN  \n",
              "50%                   NaN           NaN          NaN  \n",
              "75%                   NaN           NaN          NaN  \n",
              "max                   NaN           NaN          NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c53620c2-14ac-4a5c-93da-d10db6601279\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Unit of measure</th>\n",
              "      <th>Notes from original source</th>\n",
              "      <th>Other web links</th>\n",
              "      <th>Related indicators</th>\n",
              "      <th>License Type</th>\n",
              "      <th>Unnamed: 20</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c53620c2-14ac-4a5c-93da-d10db6601279')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-c53620c2-14ac-4a5c-93da-d10db6601279 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-c53620c2-14ac-4a5c-93da-d10db6601279');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 113
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df5.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UcWtHSvo1KKl",
        "outputId": "3720af12-62ff-4f41-8d6c-6e59fbb8c0cc"
      },
      "execution_count": 114,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 3665 entries, 0 to 3664\n",
            "Data columns (total 21 columns):\n",
            " #   Column                               Non-Null Count  Dtype  \n",
            "---  ------                               --------------  -----  \n",
            " 0   Series Code                          3665 non-null   object \n",
            " 1   Topic                                3665 non-null   object \n",
            " 2   Indicator Name                       3665 non-null   object \n",
            " 3   Short definition                     2156 non-null   object \n",
            " 4   Long definition                      3665 non-null   object \n",
            " 5   Unit of measure                      0 non-null      float64\n",
            " 6   Periodicity                          99 non-null     object \n",
            " 7   Base Period                          314 non-null    object \n",
            " 8   Other notes                          552 non-null    object \n",
            " 9   Aggregation method                   47 non-null     object \n",
            " 10  Limitations and exceptions           14 non-null     object \n",
            " 11  Notes from original source           0 non-null      float64\n",
            " 12  General comments                     14 non-null     object \n",
            " 13  Source                               3665 non-null   object \n",
            " 14  Statistical concept and methodology  23 non-null     object \n",
            " 15  Development relevance                3 non-null      object \n",
            " 16  Related source links                 215 non-null    object \n",
            " 17  Other web links                      0 non-null      float64\n",
            " 18  Related indicators                   0 non-null      float64\n",
            " 19  License Type                         0 non-null      float64\n",
            " 20  Unnamed: 20                          0 non-null      float64\n",
            "dtypes: float64(6), object(15)\n",
            "memory usage: 601.4+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df5.drop(['Unnamed: 20','License Type','Related indicators','Other web links','Notes from original source','Unit of measure'], axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "0sMIzi5n1Lzt"
      },
      "execution_count": 115,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df5.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DFi_VUAZ2ASP",
        "outputId": "4177fe10-3643-40bc-b32d-6054ccc64188"
      },
      "execution_count": 116,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3665, 15)"
            ]
          },
          "metadata": {},
          "execution_count": 116
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df5.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 667
        },
        "id": "weiqyO3a2AVY",
        "outputId": "899b6e3d-b405-4926-aeb7-c947a5964f3b"
      },
      "execution_count": 117,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "           Series Code       Topic  \\\n",
              "0  BAR.NOED.1519.FE.ZS  Attainment   \n",
              "1     BAR.NOED.1519.ZS  Attainment   \n",
              "2  BAR.NOED.15UP.FE.ZS  Attainment   \n",
              "3     BAR.NOED.15UP.ZS  Attainment   \n",
              "4  BAR.NOED.2024.FE.ZS  Attainment   \n",
              "\n",
              "                                      Indicator Name  \\\n",
              "0  Barro-Lee: Percentage of female population age...   \n",
              "1  Barro-Lee: Percentage of population age 15-19 ...   \n",
              "2  Barro-Lee: Percentage of female population age...   \n",
              "3  Barro-Lee: Percentage of population age 15+ wi...   \n",
              "4  Barro-Lee: Percentage of female population age...   \n",
              "\n",
              "                                    Short definition  \\\n",
              "0  Percentage of female population age 15-19 with...   \n",
              "1  Percentage of population age 15-19 with no edu...   \n",
              "2  Percentage of female population age 15+ with n...   \n",
              "3  Percentage of population age 15+ with no educa...   \n",
              "4  Percentage of female population age 20-24 with...   \n",
              "\n",
              "                                     Long definition Periodicity Base Period  \\\n",
              "0  Percentage of female population age 15-19 with...         NaN         NaN   \n",
              "1  Percentage of population age 15-19 with no edu...         NaN         NaN   \n",
              "2  Percentage of female population age 15+ with n...         NaN         NaN   \n",
              "3  Percentage of population age 15+ with no educa...         NaN         NaN   \n",
              "4  Percentage of female population age 20-24 with...         NaN         NaN   \n",
              "\n",
              "  Other notes Aggregation method Limitations and exceptions General comments  \\\n",
              "0         NaN                NaN                        NaN              NaN   \n",
              "1         NaN                NaN                        NaN              NaN   \n",
              "2         NaN                NaN                        NaN              NaN   \n",
              "3         NaN                NaN                        NaN              NaN   \n",
              "4         NaN                NaN                        NaN              NaN   \n",
              "\n",
              "                                              Source  \\\n",
              "0  Robert J. Barro and Jong-Wha Lee: http://www.b...   \n",
              "1  Robert J. Barro and Jong-Wha Lee: http://www.b...   \n",
              "2  Robert J. Barro and Jong-Wha Lee: http://www.b...   \n",
              "3  Robert J. Barro and Jong-Wha Lee: http://www.b...   \n",
              "4  Robert J. Barro and Jong-Wha Lee: http://www.b...   \n",
              "\n",
              "  Statistical concept and methodology Development relevance  \\\n",
              "0                                 NaN                   NaN   \n",
              "1                                 NaN                   NaN   \n",
              "2                                 NaN                   NaN   \n",
              "3                                 NaN                   NaN   \n",
              "4                                 NaN                   NaN   \n",
              "\n",
              "  Related source links  \n",
              "0                  NaN  \n",
              "1                  NaN  \n",
              "2                  NaN  \n",
              "3                  NaN  \n",
              "4                  NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c773d846-9107-4934-81f0-b77e79820946\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Series Code</th>\n",
              "      <th>Topic</th>\n",
              "      <th>Indicator Name</th>\n",
              "      <th>Short definition</th>\n",
              "      <th>Long definition</th>\n",
              "      <th>Periodicity</th>\n",
              "      <th>Base Period</th>\n",
              "      <th>Other notes</th>\n",
              "      <th>Aggregation method</th>\n",
              "      <th>Limitations and exceptions</th>\n",
              "      <th>General comments</th>\n",
              "      <th>Source</th>\n",
              "      <th>Statistical concept and methodology</th>\n",
              "      <th>Development relevance</th>\n",
              "      <th>Related source links</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>BAR.NOED.1519.FE.ZS</td>\n",
              "      <td>Attainment</td>\n",
              "      <td>Barro-Lee: Percentage of female population age...</td>\n",
              "      <td>Percentage of female population age 15-19 with...</td>\n",
              "      <td>Percentage of female population age 15-19 with...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Robert J. Barro and Jong-Wha Lee: http://www.b...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>BAR.NOED.1519.ZS</td>\n",
              "      <td>Attainment</td>\n",
              "      <td>Barro-Lee: Percentage of population age 15-19 ...</td>\n",
              "      <td>Percentage of population age 15-19 with no edu...</td>\n",
              "      <td>Percentage of population age 15-19 with no edu...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Robert J. Barro and Jong-Wha Lee: http://www.b...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>BAR.NOED.15UP.FE.ZS</td>\n",
              "      <td>Attainment</td>\n",
              "      <td>Barro-Lee: Percentage of female population age...</td>\n",
              "      <td>Percentage of female population age 15+ with n...</td>\n",
              "      <td>Percentage of female population age 15+ with n...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Robert J. Barro and Jong-Wha Lee: http://www.b...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>BAR.NOED.15UP.ZS</td>\n",
              "      <td>Attainment</td>\n",
              "      <td>Barro-Lee: Percentage of population age 15+ wi...</td>\n",
              "      <td>Percentage of population age 15+ with no educa...</td>\n",
              "      <td>Percentage of population age 15+ with no educa...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Robert J. Barro and Jong-Wha Lee: http://www.b...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>BAR.NOED.2024.FE.ZS</td>\n",
              "      <td>Attainment</td>\n",
              "      <td>Barro-Lee: Percentage of female population age...</td>\n",
              "      <td>Percentage of female population age 20-24 with...</td>\n",
              "      <td>Percentage of female population age 20-24 with...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Robert J. Barro and Jong-Wha Lee: http://www.b...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c773d846-9107-4934-81f0-b77e79820946')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-c773d846-9107-4934-81f0-b77e79820946 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-c773d846-9107-4934-81f0-b77e79820946');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 117
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1.shape"
      ],
      "metadata": {
        "id": "awpqn2wa2AX6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a0e70c16-a809-4c1b-99bf-fa21241645cc"
      },
      "execution_count": 118,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(613, 3)"
            ]
          },
          "metadata": {},
          "execution_count": 118
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df2.shape"
      ],
      "metadata": {
        "id": "QeL6sMO_2Aae",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7b9b0ddd-b17a-42a3-c1b9-ae8621db673e"
      },
      "execution_count": 119,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(241, 31)"
            ]
          },
          "metadata": {},
          "execution_count": 119
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3.shape"
      ],
      "metadata": {
        "id": "RyvCg5dD2Ac4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6084e3cc-90ff-4591-8e35-ad7b111f2fd1"
      },
      "execution_count": 120,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(886930, 69)"
            ]
          },
          "metadata": {},
          "execution_count": 120
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df4.shape"
      ],
      "metadata": {
        "id": "ZAi7Mvf02Afe",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "93b27f0b-d91e-49a8-b972-8c8f607c7d48"
      },
      "execution_count": 121,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(643638, 4)"
            ]
          },
          "metadata": {},
          "execution_count": 121
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df5.shape"
      ],
      "metadata": {
        "id": "ObNjSgEo2Ai1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "97d363ee-c868-4017-9fa9-0b77ebf6f0f7"
      },
      "execution_count": 122,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3665, 15)"
            ]
          },
          "metadata": {},
          "execution_count": 122
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oDjfVEFEWSjy",
        "outputId": "2ffcb8eb-7a1e-444e-8fce-a1f9e3d91339"
      },
      "execution_count": 123,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Country Name', 'Country Code', 'Indicator Name', 'Indicator Code',\n",
              "       '1970', '1971', '1972', '1973', '1974', '1975', '1976', '1977', '1978',\n",
              "       '1979', '1980', '1981', '1982', '1983', '1984', '1985', '1986', '1987',\n",
              "       '1988', '1989', '1990', '1991', '1992', '1993', '1994', '1995', '1996',\n",
              "       '1997', '1998', '1999', '2000', '2001', '2002', '2003', '2004', '2005',\n",
              "       '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014',\n",
              "       '2015', '2016', '2017', '2020', '2025', '2030', '2035', '2040', '2045',\n",
              "       '2050', '2055', '2060', '2065', '2070', '2075', '2080', '2085', '2090',\n",
              "       '2095', '2100'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 123
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from numpy.lib.arraysetops import unique\n",
        "df3['Country Name'].nunique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_8HCiRU9WhKI",
        "outputId": "05f42da8-f935-4a9f-dcdd-bd9381409877"
      },
      "execution_count": 124,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "242"
            ]
          },
          "metadata": {},
          "execution_count": 124
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3['Country Code'].nunique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rp34dT36WhMj",
        "outputId": "b091a08b-e777-45c6-a5a6-1c808bfe519f"
      },
      "execution_count": 125,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "242"
            ]
          },
          "metadata": {},
          "execution_count": 125
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qhX7KPZzXeNP",
        "outputId": "9d178677-3599-462c-ca7e-443d6fbc374d"
      },
      "execution_count": 126,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 613 entries, 0 to 612\n",
            "Data columns (total 3 columns):\n",
            " #   Column       Non-Null Count  Dtype \n",
            "---  ------       --------------  ----- \n",
            " 0   CountryCode  613 non-null    object\n",
            " 1   SeriesCode   613 non-null    object\n",
            " 2   DESCRIPTION  613 non-null    object\n",
            "dtypes: object(3)\n",
            "memory usage: 14.5+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1['CountryCode'].nunique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DmSFW9WEZZr5",
        "outputId": "62374822-539d-40ef-e828-b78204c01d8a"
      },
      "execution_count": 127,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "211"
            ]
          },
          "metadata": {},
          "execution_count": 127
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lUwNh4LWuc0Y",
        "outputId": "a59ec4b8-73d1-4a69-91c6-218ab364fb49"
      },
      "execution_count": 128,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['CountryCode', 'SeriesCode', 'DESCRIPTION'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 128
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df2.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JYC3FzSauc_-",
        "outputId": "823c3c0a-6532-46d0-b4fc-4ae6c7db24f4"
      },
      "execution_count": 129,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Country Code', 'Short Name', 'Table Name', 'Long Name', '2-alpha code',\n",
              "       'Currency Unit', 'Special Notes', 'Region', 'Income Group', 'WB-2 code',\n",
              "       'National accounts base year', 'National accounts reference year',\n",
              "       'SNA price valuation', 'Lending category', 'Other groups',\n",
              "       'System of National Accounts', 'Alternative conversion factor',\n",
              "       'PPP survey year', 'Balance of Payments Manual in use',\n",
              "       'External debt Reporting status', 'System of trade',\n",
              "       'Government Accounting concept', 'IMF data dissemination standard',\n",
              "       'Latest population census', 'Latest household survey',\n",
              "       'Source of most recent Income and expenditure data',\n",
              "       'Vital registration complete', 'Latest agricultural census',\n",
              "       'Latest industrial data', 'Latest trade data',\n",
              "       'Latest water withdrawal data'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 129
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4ITbXw0YudCn",
        "outputId": "5de44bc2-a46d-45b1-a6b8-a86bc7438f96"
      },
      "execution_count": 130,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Country Name', 'Country Code', 'Indicator Name', 'Indicator Code',\n",
              "       '1970', '1971', '1972', '1973', '1974', '1975', '1976', '1977', '1978',\n",
              "       '1979', '1980', '1981', '1982', '1983', '1984', '1985', '1986', '1987',\n",
              "       '1988', '1989', '1990', '1991', '1992', '1993', '1994', '1995', '1996',\n",
              "       '1997', '1998', '1999', '2000', '2001', '2002', '2003', '2004', '2005',\n",
              "       '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014',\n",
              "       '2015', '2016', '2017', '2020', '2025', '2030', '2035', '2040', '2045',\n",
              "       '2050', '2055', '2060', '2065', '2070', '2075', '2080', '2085', '2090',\n",
              "       '2095', '2100'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 130
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df4.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mG4BWO0mudFj",
        "outputId": "cedba934-d6b2-4950-93bc-489d5ab0ec49"
      },
      "execution_count": 131,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['CountryCode', 'SeriesCode', 'Year', 'DESCRIPTION'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 131
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df5.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tQLORmodudIA",
        "outputId": "3c5e8c05-7c81-48f2-834f-2be1c521551b"
      },
      "execution_count": 132,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Series Code', 'Topic', 'Indicator Name', 'Short definition',\n",
              "       'Long definition', 'Periodicity', 'Base Period', 'Other notes',\n",
              "       'Aggregation method', 'Limitations and exceptions', 'General comments',\n",
              "       'Source', 'Statistical concept and methodology',\n",
              "       'Development relevance', 'Related source links'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 132
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3.info()"
      ],
      "metadata": {
        "id": "O6OsIzWyudLX",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "aa3cacc9-39f9-4f5c-fd91-30b7e32b8f15"
      },
      "execution_count": 133,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 886930 entries, 0 to 886929\n",
            "Data columns (total 69 columns):\n",
            " #   Column          Non-Null Count   Dtype  \n",
            "---  ------          --------------   -----  \n",
            " 0   Country Name    886930 non-null  object \n",
            " 1   Country Code    886930 non-null  object \n",
            " 2   Indicator Name  886930 non-null  object \n",
            " 3   Indicator Code  886930 non-null  object \n",
            " 4   1970            72288 non-null   float64\n",
            " 5   1971            35537 non-null   float64\n",
            " 6   1972            35619 non-null   float64\n",
            " 7   1973            35545 non-null   float64\n",
            " 8   1974            35730 non-null   float64\n",
            " 9   1975            87306 non-null   float64\n",
            " 10  1976            37483 non-null   float64\n",
            " 11  1977            37574 non-null   float64\n",
            " 12  1978            37576 non-null   float64\n",
            " 13  1979            36809 non-null   float64\n",
            " 14  1980            89122 non-null   float64\n",
            " 15  1981            38777 non-null   float64\n",
            " 16  1982            37511 non-null   float64\n",
            " 17  1983            38460 non-null   float64\n",
            " 18  1984            38606 non-null   float64\n",
            " 19  1985            90296 non-null   float64\n",
            " 20  1986            39372 non-null   float64\n",
            " 21  1987            38641 non-null   float64\n",
            " 22  1988            38552 non-null   float64\n",
            " 23  1989            37540 non-null   float64\n",
            " 24  1990            124405 non-null  float64\n",
            " 25  1991            74437 non-null   float64\n",
            " 26  1992            75543 non-null   float64\n",
            " 27  1993            75793 non-null   float64\n",
            " 28  1994            77462 non-null   float64\n",
            " 29  1995            131361 non-null  float64\n",
            " 30  1996            76807 non-null   float64\n",
            " 31  1997            73453 non-null   float64\n",
            " 32  1998            84914 non-null   float64\n",
            " 33  1999            118839 non-null  float64\n",
            " 34  2000            176676 non-null  float64\n",
            " 35  2001            123509 non-null  float64\n",
            " 36  2002            124205 non-null  float64\n",
            " 37  2003            130363 non-null  float64\n",
            " 38  2004            128814 non-null  float64\n",
            " 39  2005            184108 non-null  float64\n",
            " 40  2006            140312 non-null  float64\n",
            " 41  2007            137272 non-null  float64\n",
            " 42  2008            134387 non-null  float64\n",
            " 43  2009            142108 non-null  float64\n",
            " 44  2010            242442 non-null  float64\n",
            " 45  2011            146012 non-null  float64\n",
            " 46  2012            147264 non-null  float64\n",
            " 47  2013            137509 non-null  float64\n",
            " 48  2014            113789 non-null  float64\n",
            " 49  2015            131058 non-null  float64\n",
            " 50  2016            16460 non-null   float64\n",
            " 51  2017            143 non-null     float64\n",
            " 52  2020            51436 non-null   float64\n",
            " 53  2025            51436 non-null   float64\n",
            " 54  2030            51436 non-null   float64\n",
            " 55  2035            51436 non-null   float64\n",
            " 56  2040            51436 non-null   float64\n",
            " 57  2045            51436 non-null   float64\n",
            " 58  2050            51436 non-null   float64\n",
            " 59  2055            51436 non-null   float64\n",
            " 60  2060            51436 non-null   float64\n",
            " 61  2065            51436 non-null   float64\n",
            " 62  2070            51436 non-null   float64\n",
            " 63  2075            51436 non-null   float64\n",
            " 64  2080            51436 non-null   float64\n",
            " 65  2085            51436 non-null   float64\n",
            " 66  2090            51436 non-null   float64\n",
            " 67  2095            51436 non-null   float64\n",
            " 68  2100            51436 non-null   float64\n",
            "dtypes: float64(65), object(4)\n",
            "memory usage: 466.9+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3[\"2100\"].unique()"
      ],
      "metadata": {
        "id": "AiLsmt5AudOH",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3fbf0251-a45d-4fe6-a0d9-9364ef37da50"
      },
      "execution_count": 134,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([        nan, 2.70000e+00, 1.27000e+01, ..., 3.17564e+03,\n",
              "       2.81331e+03, 5.98895e+03])"
            ]
          },
          "metadata": {},
          "execution_count": 134
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3[\"Country Name\"].nunique()"
      ],
      "metadata": {
        "id": "pmQ5b3eNudQo",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "51067641-1fe0-48f9-b88e-a9cff908d0a0"
      },
      "execution_count": 135,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "242"
            ]
          },
          "metadata": {},
          "execution_count": 135
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3.head()"
      ],
      "metadata": {
        "id": "kPpyCtTiudTU",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 721
        },
        "outputId": "c4821642-e1d7-4ff5-8db8-7c6f1a5b8b83"
      },
      "execution_count": 136,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  Country Name Country Code  \\\n",
              "0   Arab World          ARB   \n",
              "1   Arab World          ARB   \n",
              "2   Arab World          ARB   \n",
              "3   Arab World          ARB   \n",
              "4   Arab World          ARB   \n",
              "\n",
              "                                      Indicator Name  Indicator Code  \\\n",
              "0  Adjusted net enrolment rate, lower secondary, ...      UIS.NERA.2   \n",
              "1  Adjusted net enrolment rate, lower secondary, ...    UIS.NERA.2.F   \n",
              "2  Adjusted net enrolment rate, lower secondary, ...  UIS.NERA.2.GPI   \n",
              "3  Adjusted net enrolment rate, lower secondary, ...    UIS.NERA.2.M   \n",
              "4  Adjusted net enrolment rate, primary, both sex...     SE.PRM.TENR   \n",
              "\n",
              "        1970       1971       1972       1973       1974      1975       1976  \\\n",
              "0        NaN        NaN        NaN        NaN        NaN       NaN        NaN   \n",
              "1        NaN        NaN        NaN        NaN        NaN       NaN        NaN   \n",
              "2        NaN        NaN        NaN        NaN        NaN       NaN        NaN   \n",
              "3        NaN        NaN        NaN        NaN        NaN       NaN        NaN   \n",
              "4  54.822121  54.894138  56.209438  57.267109  57.991138  59.36554  60.999962   \n",
              "\n",
              "       1977      1978       1979       1980       1981       1982       1983  \\\n",
              "0       NaN       NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "1       NaN       NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "2       NaN       NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "3       NaN       NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "4  61.92268  62.69342  64.383186  65.617767  66.085152  66.608139  67.290451   \n",
              "\n",
              "        1984       1985       1986      1987       1988       1989       1990  \\\n",
              "0        NaN        NaN        NaN       NaN        NaN        NaN        NaN   \n",
              "1        NaN        NaN        NaN       NaN        NaN        NaN        NaN   \n",
              "2        NaN        NaN        NaN       NaN        NaN        NaN        NaN   \n",
              "3        NaN        NaN        NaN       NaN        NaN        NaN        NaN   \n",
              "4  68.510094  69.033211  69.944908  71.04187  71.693779  71.699097  71.995819   \n",
              "\n",
              "        1991       1992       1993       1994      1995       1996       1997  \\\n",
              "0        NaN        NaN        NaN        NaN       NaN        NaN        NaN   \n",
              "1        NaN        NaN        NaN        NaN       NaN        NaN        NaN   \n",
              "2        NaN        NaN        NaN        NaN       NaN        NaN        NaN   \n",
              "3        NaN        NaN        NaN        NaN       NaN        NaN        NaN   \n",
              "4  72.602837  70.032722  70.464821  72.645683  71.81176  73.903511  74.425201   \n",
              "\n",
              "        1998       1999       2000       2001       2002       2003  \\\n",
              "0        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "1        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "2        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "3        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "4  75.110817  76.254318  77.245682  78.800522  80.051399  80.805389   \n",
              "\n",
              "        2004       2005       2006       2007       2008       2009  \\\n",
              "0        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "1        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "2        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "3        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "4  81.607063  82.489487  82.685509  83.280342  84.011871  84.195961   \n",
              "\n",
              "        2010      2011       2012      2013       2014  2015  2016  2017  \\\n",
              "0        NaN       NaN        NaN       NaN        NaN   NaN   NaN   NaN   \n",
              "1        NaN       NaN        NaN       NaN        NaN   NaN   NaN   NaN   \n",
              "2        NaN       NaN        NaN       NaN        NaN   NaN   NaN   NaN   \n",
              "3        NaN       NaN        NaN       NaN        NaN   NaN   NaN   NaN   \n",
              "4  85.211998  85.24514  86.101669  85.51194  85.320152   NaN   NaN   NaN   \n",
              "\n",
              "   2020  2025  2030  2035  2040  2045  2050  2055  2060  2065  2070  2075  \\\n",
              "0   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "1   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "2   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "3   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "4   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "\n",
              "   2080  2085  2090  2095  2100  \n",
              "0   NaN   NaN   NaN   NaN   NaN  \n",
              "1   NaN   NaN   NaN   NaN   NaN  \n",
              "2   NaN   NaN   NaN   NaN   NaN  \n",
              "3   NaN   NaN   NaN   NaN   NaN  \n",
              "4   NaN   NaN   NaN   NaN   NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-4932761b-f483-4895-8bf2-633bb8862431\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Country Name</th>\n",
              "      <th>Country Code</th>\n",
              "      <th>Indicator Name</th>\n",
              "      <th>Indicator Code</th>\n",
              "      <th>1970</th>\n",
              "      <th>1971</th>\n",
              "      <th>1972</th>\n",
              "      <th>1973</th>\n",
              "      <th>1974</th>\n",
              "      <th>1975</th>\n",
              "      <th>1976</th>\n",
              "      <th>1977</th>\n",
              "      <th>1978</th>\n",
              "      <th>1979</th>\n",
              "      <th>1980</th>\n",
              "      <th>1981</th>\n",
              "      <th>1982</th>\n",
              "      <th>1983</th>\n",
              "      <th>1984</th>\n",
              "      <th>1985</th>\n",
              "      <th>1986</th>\n",
              "      <th>1987</th>\n",
              "      <th>1988</th>\n",
              "      <th>1989</th>\n",
              "      <th>1990</th>\n",
              "      <th>1991</th>\n",
              "      <th>1992</th>\n",
              "      <th>1993</th>\n",
              "      <th>1994</th>\n",
              "      <th>1995</th>\n",
              "      <th>1996</th>\n",
              "      <th>1997</th>\n",
              "      <th>1998</th>\n",
              "      <th>1999</th>\n",
              "      <th>2000</th>\n",
              "      <th>2001</th>\n",
              "      <th>2002</th>\n",
              "      <th>2003</th>\n",
              "      <th>2004</th>\n",
              "      <th>2005</th>\n",
              "      <th>2006</th>\n",
              "      <th>2007</th>\n",
              "      <th>2008</th>\n",
              "      <th>2009</th>\n",
              "      <th>2010</th>\n",
              "      <th>2011</th>\n",
              "      <th>2012</th>\n",
              "      <th>2013</th>\n",
              "      <th>2014</th>\n",
              "      <th>2015</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2020</th>\n",
              "      <th>2025</th>\n",
              "      <th>2030</th>\n",
              "      <th>2035</th>\n",
              "      <th>2040</th>\n",
              "      <th>2045</th>\n",
              "      <th>2050</th>\n",
              "      <th>2055</th>\n",
              "      <th>2060</th>\n",
              "      <th>2065</th>\n",
              "      <th>2070</th>\n",
              "      <th>2075</th>\n",
              "      <th>2080</th>\n",
              "      <th>2085</th>\n",
              "      <th>2090</th>\n",
              "      <th>2095</th>\n",
              "      <th>2100</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2.F</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2.GPI</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2.M</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, primary, both sex...</td>\n",
              "      <td>SE.PRM.TENR</td>\n",
              "      <td>54.822121</td>\n",
              "      <td>54.894138</td>\n",
              "      <td>56.209438</td>\n",
              "      <td>57.267109</td>\n",
              "      <td>57.991138</td>\n",
              "      <td>59.36554</td>\n",
              "      <td>60.999962</td>\n",
              "      <td>61.92268</td>\n",
              "      <td>62.69342</td>\n",
              "      <td>64.383186</td>\n",
              "      <td>65.617767</td>\n",
              "      <td>66.085152</td>\n",
              "      <td>66.608139</td>\n",
              "      <td>67.290451</td>\n",
              "      <td>68.510094</td>\n",
              "      <td>69.033211</td>\n",
              "      <td>69.944908</td>\n",
              "      <td>71.04187</td>\n",
              "      <td>71.693779</td>\n",
              "      <td>71.699097</td>\n",
              "      <td>71.995819</td>\n",
              "      <td>72.602837</td>\n",
              "      <td>70.032722</td>\n",
              "      <td>70.464821</td>\n",
              "      <td>72.645683</td>\n",
              "      <td>71.81176</td>\n",
              "      <td>73.903511</td>\n",
              "      <td>74.425201</td>\n",
              "      <td>75.110817</td>\n",
              "      <td>76.254318</td>\n",
              "      <td>77.245682</td>\n",
              "      <td>78.800522</td>\n",
              "      <td>80.051399</td>\n",
              "      <td>80.805389</td>\n",
              "      <td>81.607063</td>\n",
              "      <td>82.489487</td>\n",
              "      <td>82.685509</td>\n",
              "      <td>83.280342</td>\n",
              "      <td>84.011871</td>\n",
              "      <td>84.195961</td>\n",
              "      <td>85.211998</td>\n",
              "      <td>85.24514</td>\n",
              "      <td>86.101669</td>\n",
              "      <td>85.51194</td>\n",
              "      <td>85.320152</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4932761b-f483-4895-8bf2-633bb8862431')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-4932761b-f483-4895-8bf2-633bb8862431 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-4932761b-f483-4895-8bf2-633bb8862431');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 136
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3[\"Indicator Name\"].nunique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RinJui6ILh4t",
        "outputId": "e4f885ac-8a38-4ceb-e1e2-2cda17ac21b2"
      },
      "execution_count": 137,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3665"
            ]
          },
          "metadata": {},
          "execution_count": 137
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3[\"Country Code\"].unique()"
      ],
      "metadata": {
        "id": "KD8rneLVudWE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c89d3ac8-0a39-470e-a71f-976f236c35ad"
      },
      "execution_count": 138,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['ARB', 'EAS', 'EAP', 'EMU', 'ECS', 'ECA', 'EUU', 'HPC', 'HIC',\n",
              "       'LCN', 'LAC', 'LDC', 'LMY', 'LIC', 'LMC', 'MEA', 'MNA', 'MIC',\n",
              "       'NAC', 'OED', 'SAS', 'SSF', 'SSA', 'UMC', 'WLD', 'AFG', 'ALB',\n",
              "       'DZA', 'ASM', 'AND', 'AGO', 'ATG', 'ARG', 'ARM', 'ABW', 'AUS',\n",
              "       'AUT', 'AZE', 'BHS', 'BHR', 'BGD', 'BRB', 'BLR', 'BEL', 'BLZ',\n",
              "       'BEN', 'BMU', 'BTN', 'BOL', 'BIH', 'BWA', 'BRA', 'VGB', 'BRN',\n",
              "       'BGR', 'BFA', 'BDI', 'CPV', 'KHM', 'CMR', 'CAN', 'CYM', 'CAF',\n",
              "       'TCD', 'CHI', 'CHL', 'CHN', 'COL', 'COM', 'COD', 'COG', 'CRI',\n",
              "       'CIV', 'HRV', 'CUB', 'CUW', 'CYP', 'CZE', 'DNK', 'DJI', 'DMA',\n",
              "       'DOM', 'ECU', 'EGY', 'SLV', 'GNQ', 'ERI', 'EST', 'ETH', 'FRO',\n",
              "       'FJI', 'FIN', 'FRA', 'PYF', 'GAB', 'GMB', 'GEO', 'DEU', 'GHA',\n",
              "       'GIB', 'GRC', 'GRL', 'GRD', 'GUM', 'GTM', 'GIN', 'GNB', 'GUY',\n",
              "       'HTI', 'HND', 'HKG', 'HUN', 'ISL', 'IND', 'IDN', 'IRN', 'IRQ',\n",
              "       'IRL', 'IMN', 'ISR', 'ITA', 'JAM', 'JPN', 'JOR', 'KAZ', 'KEN',\n",
              "       'KIR', 'PRK', 'KOR', 'XKX', 'KWT', 'KGZ', 'LAO', 'LVA', 'LBN',\n",
              "       'LSO', 'LBR', 'LBY', 'LIE', 'LTU', 'LUX', 'MAC', 'MKD', 'MDG',\n",
              "       'MWI', 'MYS', 'MDV', 'MLI', 'MLT', 'MHL', 'MRT', 'MUS', 'MEX',\n",
              "       'FSM', 'MDA', 'MCO', 'MNG', 'MNE', 'MAR', 'MOZ', 'MMR', 'NAM',\n",
              "       'NRU', 'NPL', 'NLD', 'NCL', 'NZL', 'NIC', 'NER', 'NGA', 'MNP',\n",
              "       'NOR', 'OMN', 'PAK', 'PLW', 'PAN', 'PNG', 'PRY', 'PER', 'PHL',\n",
              "       'POL', 'PRT', 'PRI', 'QAT', 'ROU', 'RUS', 'RWA', 'WSM', 'SMR',\n",
              "       'STP', 'SAU', 'SEN', 'SRB', 'SYC', 'SLE', 'SGP', 'SXM', 'SVK',\n",
              "       'SVN', 'SLB', 'SOM', 'ZAF', 'SSD', 'ESP', 'LKA', 'KNA', 'LCA',\n",
              "       'MAF', 'VCT', 'SDN', 'SUR', 'SWZ', 'SWE', 'CHE', 'SYR', 'TJK',\n",
              "       'TZA', 'THA', 'TLS', 'TGO', 'TON', 'TTO', 'TUN', 'TUR', 'TKM',\n",
              "       'TCA', 'TUV', 'UGA', 'UKR', 'ARE', 'GBR', 'USA', 'URY', 'UZB',\n",
              "       'VUT', 'VEN', 'VNM', 'VIR', 'PSE', 'YEM', 'ZMB', 'ZWE'],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 138
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3_1= df3.loc[(df3[\"Indicator Name\"]== \"Adjusted net enrolment rate, lower secondary, both sexes (%)\")]"
      ],
      "metadata": {
        "id": "EakoabYkudZd"
      },
      "execution_count": 139,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df3_1.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JTTnvYLYa5eJ",
        "outputId": "6557821a-ac0c-41a2-b391-f825d75371c3"
      },
      "execution_count": 140,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(242, 69)"
            ]
          },
          "metadata": {},
          "execution_count": 140
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3_1.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 721
        },
        "id": "6vutlQl3bD6H",
        "outputId": "c5ace626-8a5d-42c8-cedf-1087cadacb17"
      },
      "execution_count": 141,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                      Country Name Country Code  \\\n",
              "0                                       Arab World          ARB   \n",
              "3665                           East Asia & Pacific          EAS   \n",
              "7330   East Asia & Pacific (excluding high income)          EAP   \n",
              "10995                                    Euro area          EMU   \n",
              "14660                        Europe & Central Asia          ECS   \n",
              "\n",
              "                                          Indicator Name Indicator Code  1970  \\\n",
              "0      Adjusted net enrolment rate, lower secondary, ...     UIS.NERA.2   NaN   \n",
              "3665   Adjusted net enrolment rate, lower secondary, ...     UIS.NERA.2   NaN   \n",
              "7330   Adjusted net enrolment rate, lower secondary, ...     UIS.NERA.2   NaN   \n",
              "10995  Adjusted net enrolment rate, lower secondary, ...     UIS.NERA.2   NaN   \n",
              "14660  Adjusted net enrolment rate, lower secondary, ...     UIS.NERA.2   NaN   \n",
              "\n",
              "       1971  1972  1973  1974  1975  1976  1977  1978  1979  1980  1981  1982  \\\n",
              "0       NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "3665    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "7330    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "10995   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "14660   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "\n",
              "       1983  1984  1985  1986  1987  1988  1989  1990  1991  1992  1993  1994  \\\n",
              "0       NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "3665    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "7330    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "10995   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "14660   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "\n",
              "       1995  1996  1997  1998  1999  2000  2001  2002  2003  2004  2005  2006  \\\n",
              "0       NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "3665    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "7330    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "10995   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "14660   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "\n",
              "       2007  2008  2009  2010  2011  2012  2013  2014  2015  2016  2017  2020  \\\n",
              "0       NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "3665    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "7330    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "10995   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "14660   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "\n",
              "       2025  2030  2035  2040  2045  2050  2055  2060  2065  2070  2075  2080  \\\n",
              "0       NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "3665    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "7330    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "10995   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "14660   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "\n",
              "       2085  2090  2095  2100  \n",
              "0       NaN   NaN   NaN   NaN  \n",
              "3665    NaN   NaN   NaN   NaN  \n",
              "7330    NaN   NaN   NaN   NaN  \n",
              "10995   NaN   NaN   NaN   NaN  \n",
              "14660   NaN   NaN   NaN   NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-351e29b2-f11d-41e4-8d59-ddc408c69fa8\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Country Name</th>\n",
              "      <th>Country Code</th>\n",
              "      <th>Indicator Name</th>\n",
              "      <th>Indicator Code</th>\n",
              "      <th>1970</th>\n",
              "      <th>1971</th>\n",
              "      <th>1972</th>\n",
              "      <th>1973</th>\n",
              "      <th>1974</th>\n",
              "      <th>1975</th>\n",
              "      <th>1976</th>\n",
              "      <th>1977</th>\n",
              "      <th>1978</th>\n",
              "      <th>1979</th>\n",
              "      <th>1980</th>\n",
              "      <th>1981</th>\n",
              "      <th>1982</th>\n",
              "      <th>1983</th>\n",
              "      <th>1984</th>\n",
              "      <th>1985</th>\n",
              "      <th>1986</th>\n",
              "      <th>1987</th>\n",
              "      <th>1988</th>\n",
              "      <th>1989</th>\n",
              "      <th>1990</th>\n",
              "      <th>1991</th>\n",
              "      <th>1992</th>\n",
              "      <th>1993</th>\n",
              "      <th>1994</th>\n",
              "      <th>1995</th>\n",
              "      <th>1996</th>\n",
              "      <th>1997</th>\n",
              "      <th>1998</th>\n",
              "      <th>1999</th>\n",
              "      <th>2000</th>\n",
              "      <th>2001</th>\n",
              "      <th>2002</th>\n",
              "      <th>2003</th>\n",
              "      <th>2004</th>\n",
              "      <th>2005</th>\n",
              "      <th>2006</th>\n",
              "      <th>2007</th>\n",
              "      <th>2008</th>\n",
              "      <th>2009</th>\n",
              "      <th>2010</th>\n",
              "      <th>2011</th>\n",
              "      <th>2012</th>\n",
              "      <th>2013</th>\n",
              "      <th>2014</th>\n",
              "      <th>2015</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2020</th>\n",
              "      <th>2025</th>\n",
              "      <th>2030</th>\n",
              "      <th>2035</th>\n",
              "      <th>2040</th>\n",
              "      <th>2045</th>\n",
              "      <th>2050</th>\n",
              "      <th>2055</th>\n",
              "      <th>2060</th>\n",
              "      <th>2065</th>\n",
              "      <th>2070</th>\n",
              "      <th>2075</th>\n",
              "      <th>2080</th>\n",
              "      <th>2085</th>\n",
              "      <th>2090</th>\n",
              "      <th>2095</th>\n",
              "      <th>2100</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>ARB</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3665</th>\n",
              "      <td>East Asia &amp; Pacific</td>\n",
              "      <td>EAS</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7330</th>\n",
              "      <td>East Asia &amp; Pacific (excluding high income)</td>\n",
              "      <td>EAP</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10995</th>\n",
              "      <td>Euro area</td>\n",
              "      <td>EMU</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14660</th>\n",
              "      <td>Europe &amp; Central Asia</td>\n",
              "      <td>ECS</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-351e29b2-f11d-41e4-8d59-ddc408c69fa8')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-351e29b2-f11d-41e4-8d59-ddc408c69fa8 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-351e29b2-f11d-41e4-8d59-ddc408c69fa8');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 141
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3_1.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SJhi82sieSD0",
        "outputId": "40477d29-6cbc-479f-b085-80917bc14587"
      },
      "execution_count": 142,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 242 entries, 0 to 883265\n",
            "Data columns (total 69 columns):\n",
            " #   Column          Non-Null Count  Dtype  \n",
            "---  ------          --------------  -----  \n",
            " 0   Country Name    242 non-null    object \n",
            " 1   Country Code    242 non-null    object \n",
            " 2   Indicator Name  242 non-null    object \n",
            " 3   Indicator Code  242 non-null    object \n",
            " 4   1970            4 non-null      float64\n",
            " 5   1971            29 non-null     float64\n",
            " 6   1972            29 non-null     float64\n",
            " 7   1973            25 non-null     float64\n",
            " 8   1974            29 non-null     float64\n",
            " 9   1975            22 non-null     float64\n",
            " 10  1976            27 non-null     float64\n",
            " 11  1977            31 non-null     float64\n",
            " 12  1978            31 non-null     float64\n",
            " 13  1979            32 non-null     float64\n",
            " 14  1980            25 non-null     float64\n",
            " 15  1981            30 non-null     float64\n",
            " 16  1982            24 non-null     float64\n",
            " 17  1983            24 non-null     float64\n",
            " 18  1984            27 non-null     float64\n",
            " 19  1985            25 non-null     float64\n",
            " 20  1986            29 non-null     float64\n",
            " 21  1987            25 non-null     float64\n",
            " 22  1988            18 non-null     float64\n",
            " 23  1989            24 non-null     float64\n",
            " 24  1990            21 non-null     float64\n",
            " 25  1991            26 non-null     float64\n",
            " 26  1992            30 non-null     float64\n",
            " 27  1993            32 non-null     float64\n",
            " 28  1994            39 non-null     float64\n",
            " 29  1995            33 non-null     float64\n",
            " 30  1996            32 non-null     float64\n",
            " 31  1997            29 non-null     float64\n",
            " 32  1998            42 non-null     float64\n",
            " 33  1999            96 non-null     float64\n",
            " 34  2000            95 non-null     float64\n",
            " 35  2001            101 non-null    float64\n",
            " 36  2002            101 non-null    float64\n",
            " 37  2003            94 non-null     float64\n",
            " 38  2004            101 non-null    float64\n",
            " 39  2005            105 non-null    float64\n",
            " 40  2006            98 non-null     float64\n",
            " 41  2007            104 non-null    float64\n",
            " 42  2008            102 non-null    float64\n",
            " 43  2009            112 non-null    float64\n",
            " 44  2010            106 non-null    float64\n",
            " 45  2011            107 non-null    float64\n",
            " 46  2012            102 non-null    float64\n",
            " 47  2013            99 non-null     float64\n",
            " 48  2014            85 non-null     float64\n",
            " 49  2015            3 non-null      float64\n",
            " 50  2016            0 non-null      float64\n",
            " 51  2017            0 non-null      float64\n",
            " 52  2020            0 non-null      float64\n",
            " 53  2025            0 non-null      float64\n",
            " 54  2030            0 non-null      float64\n",
            " 55  2035            0 non-null      float64\n",
            " 56  2040            0 non-null      float64\n",
            " 57  2045            0 non-null      float64\n",
            " 58  2050            0 non-null      float64\n",
            " 59  2055            0 non-null      float64\n",
            " 60  2060            0 non-null      float64\n",
            " 61  2065            0 non-null      float64\n",
            " 62  2070            0 non-null      float64\n",
            " 63  2075            0 non-null      float64\n",
            " 64  2080            0 non-null      float64\n",
            " 65  2085            0 non-null      float64\n",
            " 66  2090            0 non-null      float64\n",
            " 67  2095            0 non-null      float64\n",
            " 68  2100            0 non-null      float64\n",
            "dtypes: float64(65), object(4)\n",
            "memory usage: 132.3+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df3_1.tail()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 721
        },
        "id": "vH_5KuUEbcfW",
        "outputId": "ad073a0f-ee4c-4886-b14a-9210a0e8dd43"
      },
      "execution_count": 143,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                 Country Name Country Code  \\\n",
              "868605  Virgin Islands (U.S.)          VIR   \n",
              "872270     West Bank and Gaza          PSE   \n",
              "875935            Yemen, Rep.          YEM   \n",
              "879600                 Zambia          ZMB   \n",
              "883265               Zimbabwe          ZWE   \n",
              "\n",
              "                                           Indicator Name Indicator Code  \\\n",
              "868605  Adjusted net enrolment rate, lower secondary, ...     UIS.NERA.2   \n",
              "872270  Adjusted net enrolment rate, lower secondary, ...     UIS.NERA.2   \n",
              "875935  Adjusted net enrolment rate, lower secondary, ...     UIS.NERA.2   \n",
              "879600  Adjusted net enrolment rate, lower secondary, ...     UIS.NERA.2   \n",
              "883265  Adjusted net enrolment rate, lower secondary, ...     UIS.NERA.2   \n",
              "\n",
              "        1970  1971  1972  1973  1974  1975  1976  1977  1978  1979  1980  \\\n",
              "868605   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "872270   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "875935   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "879600   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "883265   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "\n",
              "        1981  1982  1983  1984  1985  1986  1987  1988  1989  1990  1991  \\\n",
              "868605   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "872270   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "875935   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "879600   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "883265   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "\n",
              "        1992  1993  1994  1995  1996  1997  1998       1999       2000  \\\n",
              "868605   NaN   NaN   NaN   NaN   NaN   NaN   NaN        NaN        NaN   \n",
              "872270   NaN   NaN   NaN   NaN   NaN   NaN   NaN  78.748810  80.326660   \n",
              "875935   NaN   NaN   NaN   NaN   NaN   NaN   NaN  28.388121        NaN   \n",
              "879600   NaN   NaN   NaN   NaN   NaN   NaN   NaN        NaN        NaN   \n",
              "883265   NaN   NaN   NaN   NaN   NaN   NaN   NaN  31.552469  33.969231   \n",
              "\n",
              "             2001       2002       2003       2004       2005       2006  \\\n",
              "868605        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "872270  80.766663  83.177094  86.666679  90.056839  90.075111  90.456009   \n",
              "875935        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "879600        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "883265  34.708790  33.567150  30.633381        NaN        NaN        NaN   \n",
              "\n",
              "             2007       2008       2009       2010       2011       2012  \\\n",
              "868605        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "872270  90.295677  88.892387  88.080856  85.731117  83.299469  83.734421   \n",
              "875935        NaN        NaN        NaN  41.293381        NaN  43.159821   \n",
              "879600        NaN        NaN        NaN        NaN        NaN        NaN   \n",
              "883265        NaN        NaN        NaN        NaN        NaN  37.516762   \n",
              "\n",
              "             2013       2014  2015  2016  2017  2020  2025  2030  2035  2040  \\\n",
              "868605        NaN        NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "872270  84.123718  84.835648   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "875935        NaN        NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "879600        NaN        NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "883265  38.781929        NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
              "\n",
              "        2045  2050  2055  2060  2065  2070  2075  2080  2085  2090  2095  2100  \n",
              "868605   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \n",
              "872270   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \n",
              "875935   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \n",
              "879600   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \n",
              "883265   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-2b1403c8-b2a5-4f23-a409-14aa9615ae45\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Country Name</th>\n",
              "      <th>Country Code</th>\n",
              "      <th>Indicator Name</th>\n",
              "      <th>Indicator Code</th>\n",
              "      <th>1970</th>\n",
              "      <th>1971</th>\n",
              "      <th>1972</th>\n",
              "      <th>1973</th>\n",
              "      <th>1974</th>\n",
              "      <th>1975</th>\n",
              "      <th>1976</th>\n",
              "      <th>1977</th>\n",
              "      <th>1978</th>\n",
              "      <th>1979</th>\n",
              "      <th>1980</th>\n",
              "      <th>1981</th>\n",
              "      <th>1982</th>\n",
              "      <th>1983</th>\n",
              "      <th>1984</th>\n",
              "      <th>1985</th>\n",
              "      <th>1986</th>\n",
              "      <th>1987</th>\n",
              "      <th>1988</th>\n",
              "      <th>1989</th>\n",
              "      <th>1990</th>\n",
              "      <th>1991</th>\n",
              "      <th>1992</th>\n",
              "      <th>1993</th>\n",
              "      <th>1994</th>\n",
              "      <th>1995</th>\n",
              "      <th>1996</th>\n",
              "      <th>1997</th>\n",
              "      <th>1998</th>\n",
              "      <th>1999</th>\n",
              "      <th>2000</th>\n",
              "      <th>2001</th>\n",
              "      <th>2002</th>\n",
              "      <th>2003</th>\n",
              "      <th>2004</th>\n",
              "      <th>2005</th>\n",
              "      <th>2006</th>\n",
              "      <th>2007</th>\n",
              "      <th>2008</th>\n",
              "      <th>2009</th>\n",
              "      <th>2010</th>\n",
              "      <th>2011</th>\n",
              "      <th>2012</th>\n",
              "      <th>2013</th>\n",
              "      <th>2014</th>\n",
              "      <th>2015</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2020</th>\n",
              "      <th>2025</th>\n",
              "      <th>2030</th>\n",
              "      <th>2035</th>\n",
              "      <th>2040</th>\n",
              "      <th>2045</th>\n",
              "      <th>2050</th>\n",
              "      <th>2055</th>\n",
              "      <th>2060</th>\n",
              "      <th>2065</th>\n",
              "      <th>2070</th>\n",
              "      <th>2075</th>\n",
              "      <th>2080</th>\n",
              "      <th>2085</th>\n",
              "      <th>2090</th>\n",
              "      <th>2095</th>\n",
              "      <th>2100</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>868605</th>\n",
              "      <td>Virgin Islands (U.S.)</td>\n",
              "      <td>VIR</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>872270</th>\n",
              "      <td>West Bank and Gaza</td>\n",
              "      <td>PSE</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>78.748810</td>\n",
              "      <td>80.326660</td>\n",
              "      <td>80.766663</td>\n",
              "      <td>83.177094</td>\n",
              "      <td>86.666679</td>\n",
              "      <td>90.056839</td>\n",
              "      <td>90.075111</td>\n",
              "      <td>90.456009</td>\n",
              "      <td>90.295677</td>\n",
              "      <td>88.892387</td>\n",
              "      <td>88.080856</td>\n",
              "      <td>85.731117</td>\n",
              "      <td>83.299469</td>\n",
              "      <td>83.734421</td>\n",
              "      <td>84.123718</td>\n",
              "      <td>84.835648</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>875935</th>\n",
              "      <td>Yemen, Rep.</td>\n",
              "      <td>YEM</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>28.388121</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>41.293381</td>\n",
              "      <td>NaN</td>\n",
              "      <td>43.159821</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>879600</th>\n",
              "      <td>Zambia</td>\n",
              "      <td>ZMB</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>883265</th>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>ZWE</td>\n",
              "      <td>Adjusted net enrolment rate, lower secondary, ...</td>\n",
              "      <td>UIS.NERA.2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>31.552469</td>\n",
              "      <td>33.969231</td>\n",
              "      <td>34.708790</td>\n",
              "      <td>33.567150</td>\n",
              "      <td>30.633381</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>37.516762</td>\n",
              "      <td>38.781929</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2b1403c8-b2a5-4f23-a409-14aa9615ae45')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-2b1403c8-b2a5-4f23-a409-14aa9615ae45 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-2b1403c8-b2a5-4f23-a409-14aa9615ae45');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 143
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#df3_11=df3_1.drop(['Country Name','Indicator Name','Indicator Code'], axis=1)"
      ],
      "metadata": {
        "id": "Md5tNXfPdEnj"
      },
      "execution_count": 144,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "068euI7Lfbhm"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "HPQA7bBnfbkx"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "AGA_6v-nfbm5"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "bpbvgPIwfbsZ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "s1Uj-5dzfbvK"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "-Q_Q7mHXfbxK"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "yB_4h8Ilfb29"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}