Plotly_Scatter_Bubble_Chart.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Plotly Scatter Bubble Chart.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyOdjqM+NNsiFOTezwk397r4",
      "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/Chung-collab/great/blob/master/Plotly_Scatter_Bubble_Chart.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "I4DeVQhqhybF"
      },
      "source": [
        "Data Visualisation - How to Plot a Scatter Bubble Chart by Plotly.\n",
        "Unlike a scatterplot that can only show the relationship between 2 variables, a Scatter Bubble Chart (SBC) can depict the relationships of three or four variables. For example, the SBC below shows the relationship between Life Expectancy and GDP per capita in y and x axis, but using color to differentiate between continents and using size to differentiate between population sizes. Thus, it does not only show a linear relationship between life expectancy and GDP per capita (in log scale), but it can also show a lower (higher) GDP per capita in Africa (North America) and a larger population size in two Asian countries. This SBC can hardly be produced by Excel, but it can be produced in just a few lines of codes by Plotly as shown below:\n",
        "![Scatter Bubble Chart Life Expectancy v GDP per capita 2015.png](data:image/png;base64,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)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eMfz5k97hhAl",
        "outputId": "5f3cfede-d04f-4039-b37f-b4095c00a1c4"
      },
      "source": [
        "! pip install plotly==5.0.0\n",
        "import plotly.express as px"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting plotly==5.0.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/84/ff/cc3f54a0822987a5ac277de0deb018104f12aadd933cedd97b600894ebcc/plotly-5.0.0-py2.py3-none-any.whl (19.1MB)\n",
            "\u001b[K     |████████████████████████████████| 19.1MB 40.9MB/s \n",
            "\u001b[?25hRequirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from plotly==5.0.0) (1.15.0)\n",
            "Collecting tenacity>=6.2.0\n",
            "  Downloading https://files.pythonhosted.org/packages/41/ee/d6eddff86161c6a3a1753af4a66b06cbc508d3b77ca4698cd0374cd66531/tenacity-7.0.0-py2.py3-none-any.whl\n",
            "Installing collected packages: tenacity, plotly\n",
            "  Found existing installation: plotly 4.4.1\n",
            "    Uninstalling plotly-4.4.1:\n",
            "      Successfully uninstalled plotly-4.4.1\n",
            "Successfully installed plotly-5.0.0 tenacity-7.0.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 223
        },
        "id": "ggIs7FeLqZti",
        "outputId": "e2120bf9-40b4-486d-adb5-7fb5edacd292"
      },
      "source": [
        "import pandas as pd\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive/')\n",
        "data = pd.read_csv(\"drive/MyDrive/Colab Notebooks/life-expectancy-vs-gdp-per-capita.csv\")\n",
        "data.head(5)"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Drive already mounted at /content/drive/; to attempt to forcibly remount, call drive.mount(\"/content/drive/\", force_remount=True).\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Country</th>\n",
              "      <th>Code</th>\n",
              "      <th>Year</th>\n",
              "      <th>Life expectancy</th>\n",
              "      <th>GDP per capita</th>\n",
              "      <th>145446-annotations</th>\n",
              "      <th>Total population</th>\n",
              "      <th>Continent</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Algeria</td>\n",
              "      <td>DZA</td>\n",
              "      <td>2015</td>\n",
              "      <td>76.090</td>\n",
              "      <td>14004.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>39728000</td>\n",
              "      <td>Africa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Angola</td>\n",
              "      <td>AGO</td>\n",
              "      <td>2015</td>\n",
              "      <td>59.398</td>\n",
              "      <td>8689.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>27884000</td>\n",
              "      <td>Africa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Benin</td>\n",
              "      <td>BEN</td>\n",
              "      <td>2015</td>\n",
              "      <td>60.608</td>\n",
              "      <td>2055.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>10576000</td>\n",
              "      <td>Africa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Botswana</td>\n",
              "      <td>BWA</td>\n",
              "      <td>2015</td>\n",
              "      <td>67.338</td>\n",
              "      <td>14805.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2121000</td>\n",
              "      <td>Africa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Burkina Faso</td>\n",
              "      <td>BFA</td>\n",
              "      <td>2015</td>\n",
              "      <td>59.919</td>\n",
              "      <td>1450.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>18111000</td>\n",
              "      <td>Africa</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        Country Code  Year  ...  145446-annotations  Total population  Continent\n",
              "0       Algeria  DZA  2015  ...                 NaN          39728000     Africa\n",
              "1        Angola  AGO  2015  ...                 NaN          27884000     Africa\n",
              "2         Benin  BEN  2015  ...                 NaN          10576000     Africa\n",
              "3      Botswana  BWA  2015  ...                 NaN           2121000     Africa\n",
              "4  Burkina Faso  BFA  2015  ...                 NaN          18111000     Africa\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gqM_0JenpTEc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 397
        },
        "outputId": "c86ab0cf-d879-4762-ae32-cad43e2bb9c0"
      },
      "source": [
        "from plotly.figure_factory import create_table\n",
        "datatable = create_table(data.head(10))\n",
        "datatable.show()"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
              "        <script src=\"https://cdn.plot.ly/plotly-2.1.0.min.js\"></script>                <div id=\"3b4bf809-35ee-4e18-bca8-f1ba2549473c\" class=\"plotly-graph-div\" style=\"height:380px; width:100%;\"></div>            <script type=\"text/javascript\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"3b4bf809-35ee-4e18-bca8-f1ba2549473c\")) {                    Plotly.newPlot(                        \"3b4bf809-35ee-4e18-bca8-f1ba2549473c\",                        [{\"colorscale\":[[0,\"#00083e\"],[0.5,\"#ededee\"],[1,\"#ffffff\"]],\"hoverinfo\":\"none\",\"opacity\":0.75,\"showscale\":false,\"type\":\"heatmap\",\"z\":[[0,0,0,0,0,0,0,0],[0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5],[1,1,1,1,1,1,1,1],[0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5],[1,1,1,1,1,1,1,1],[0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5],[1,1,1,1,1,1,1,1],[0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5],[1,1,1,1,1,1,1,1],[0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5],[1,1,1,1,1,1,1,1]]}],                        {\"annotations\":[{\"align\":\"left\",\"font\":{\"color\":\"#ffffff\"},\"showarrow\":false,\"text\":\"<b>Country</b>\",\"x\":-0.45,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":0,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#ffffff\"},\"showarrow\":false,\"text\":\"<b>Code</b>\",\"x\":0.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":0,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#ffffff\"},\"showarrow\":false,\"text\":\"<b>Year</b>\",\"x\":1.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":0,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#ffffff\"},\"showarrow\":false,\"text\":\"<b>Life expectancy</b>\",\"x\":2.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":0,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#ffffff\"},\"showarrow\":false,\"text\":\"<b>GDP per capita</b>\",\"x\":3.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":0,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#ffffff\"},\"showarrow\":false,\"text\":\"<b>145446-annotations</b>\",\"x\":4.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":0,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#ffffff\"},\"showarrow\":false,\"text\":\"<b>Total population</b>\",\"x\":5.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":0,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#ffffff\"},\"showarrow\":false,\"text\":\"<b>Continent</b>\",\"x\":6.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":0,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Algeria\",\"x\":-0.45,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":1,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"DZA\",\"x\":0.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":1,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"2015\",\"x\":1.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":1,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"76.09\",\"x\":2.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":1,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"14004.0\",\"x\":3.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":1,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"nan\",\"x\":4.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":1,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"39728000\",\"x\":5.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":1,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Africa\",\"x\":6.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":1,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Angola\",\"x\":-0.45,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":2,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"AGO\",\"x\":0.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":2,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"2015\",\"x\":1.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":2,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"59.398\",\"x\":2.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":2,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"8689.0\",\"x\":3.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":2,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"nan\",\"x\":4.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":2,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"27884000\",\"x\":5.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":2,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Africa\",\"x\":6.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":2,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Benin\",\"x\":-0.45,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":3,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"BEN\",\"x\":0.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":3,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"2015\",\"x\":1.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":3,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"60.608000000000004\",\"x\":2.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":3,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"2055.0\",\"x\":3.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":3,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"nan\",\"x\":4.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":3,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"10576000\",\"x\":5.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":3,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Africa\",\"x\":6.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":3,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Botswana\",\"x\":-0.45,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":4,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"BWA\",\"x\":0.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":4,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"2015\",\"x\":1.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":4,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"67.33800000000001\",\"x\":2.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":4,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"14805.0\",\"x\":3.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":4,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"nan\",\"x\":4.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":4,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"2121000\",\"x\":5.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":4,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Africa\",\"x\":6.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":4,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Burkina Faso\",\"x\":-0.45,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":5,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"BFA\",\"x\":0.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":5,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"2015\",\"x\":1.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":5,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"59.919\",\"x\":2.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":5,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"1450.0\",\"x\":3.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":5,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"nan\",\"x\":4.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":5,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"18111000\",\"x\":5.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":5,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Africa\",\"x\":6.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":5,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Burundi\",\"x\":-0.45,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":6,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"BDI\",\"x\":0.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":6,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"2015\",\"x\":1.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":6,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"60.123000000000005\",\"x\":2.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":6,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"694.0\",\"x\":3.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":6,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"nan\",\"x\":4.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":6,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"10160000\",\"x\":5.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":6,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Africa\",\"x\":6.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":6,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Cameroon\",\"x\":-0.45,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":7,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"CMR\",\"x\":0.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":7,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"2015\",\"x\":1.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":7,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"57.583\",\"x\":2.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":7,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"2778.0\",\"x\":3.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":7,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"nan\",\"x\":4.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":7,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"23298000\",\"x\":5.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":7,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Africa\",\"x\":6.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":7,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Cape Verde\",\"x\":-0.45,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":8,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"CPV\",\"x\":0.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":8,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"2015\",\"x\":1.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":8,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"72.117\",\"x\":2.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":8,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"6266.0\",\"x\":3.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":8,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"nan\",\"x\":4.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":8,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"525000\",\"x\":5.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":8,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Africa\",\"x\":6.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":8,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Central African Republic\",\"x\":-0.45,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":9,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"CAF\",\"x\":0.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":9,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"2015\",\"x\":1.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":9,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"50.881\",\"x\":2.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":9,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"576.0\",\"x\":3.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":9,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"nan\",\"x\":4.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":9,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"4493000\",\"x\":5.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":9,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Africa\",\"x\":6.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":9,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Chad\",\"x\":-0.45,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":10,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"TCD\",\"x\":0.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":10,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"2015\",\"x\":1.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":10,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"53.137\",\"x\":2.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":10,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"2384.0\",\"x\":3.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":10,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"nan\",\"x\":4.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":10,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"14111000\",\"x\":5.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":10,\"yref\":\"y\"},{\"align\":\"left\",\"font\":{\"color\":\"#000000\"},\"showarrow\":false,\"text\":\"Africa\",\"x\":6.55,\"xanchor\":\"left\",\"xref\":\"x\",\"y\":10,\"yref\":\"y\"}],\"height\":380,\"margin\":{\"b\":0,\"l\":0,\"r\":0,\"t\":0},\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"xaxis\":{\"dtick\":1,\"gridwidth\":2,\"showticklabels\":false,\"tick0\":-0.5,\"ticks\":\"\",\"zeroline\":false},\"yaxis\":{\"autorange\":\"reversed\",\"dtick\":1,\"gridwidth\":2,\"showticklabels\":false,\"tick0\":0.5,\"ticks\":\"\",\"zeroline\":false}},                        {\"responsive\": true}                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('3b4bf809-35ee-4e18-bca8-f1ba2549473c');\n",
              "var x = new MutationObserver(function (mutations, observer) {{\n",
              "        var display = window.getComputedStyle(gd).display;\n",
              "        if (!display || display === 'none') {{\n",
              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
              "}}\n",
              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
              "}}\n",
              "\n",
              "                        })                };                            </script>        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "ESxqoR0LAITe",
        "outputId": "36e0cf40-64b2-4e12-ae1e-c53dfc64d57a"
      },
      "source": [
        "df2015 = data.query(\"Year==2015\")\n",
        "fig2015 = px.scatter(df2015, x=\"GDP per capita\", y=\"Life expectancy\")\n",
        "fig2015.show()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
              "        <script src=\"https://cdn.plot.ly/plotly-2.1.0.min.js\"></script>                <div id=\"cbc7de2b-a327-4a73-aed5-1d5768e650dc\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"cbc7de2b-a327-4a73-aed5-1d5768e650dc\")) {                    Plotly.newPlot(                        \"cbc7de2b-a327-4a73-aed5-1d5768e650dc\",                        [{\"hovertemplate\":\"GDP per capita=%{x}<br>Life expectancy=%{y}<extra></extra>\",\"legendgroup\":\"\",\"marker\":{\"color\":\"#636efa\",\"symbol\":\"circle\"},\"mode\":\"markers\",\"name\":\"\",\"orientation\":\"v\",\"showlegend\":false,\"type\":\"scatter\",\"x\":[14004.0,8689.0,2055.0,14805.0,1450.0,694.0,2778.0,6266.0,576.0,2384.0,1696.0,6272.0,3218.0,836.0,2941.0,11159.0,37822.0,null,7969.0,1553.0,18389.0,1786.0,3809.0,1364.0,1393.0,3046.0,2710.0,865.0,8514.0,1360.0,1124.0,1553.0,3424.0,18322.0,null,8001.0,1103.0,9462.0,913.0,5578.0,null,1693.0,null,3545.0,2311.0,25690.0,1563.0,null,12246.0,null,3625.0,2566.0,1370.0,11060.0,1954.0,null,3478.0,1560.0,1928.0,10042.0,17460.0,40483.0,3402.0,null,null,3086.0,12244.0,10603.0,47777.0,5794.0,10484.0,16253.0,13014.0,30954.0,37031.0,11519.0,23850.0,71354.0,4754.0,5559.0,12953.0,null,22432.0,null,12398.0,5021.0,2455.0,1762.52,38738.0,5030.0,5003.0,7047.0,156029.0,51681.0,65660.0,35269.0,10763.0,3049.0,41668.0,3789.0,15020.0,null,19836.0,22675.0,74746.0,9720.0,5763.0,2844.0,10032.0,null,41294.0,18136.0,38569.0,9495.0,16373.0,null,19698.0,24963.0,28194.0,44635.0,24493.0,null,36836.0,36827.0,44293.0,null,22442.0,22788.0,39727.0,54278.0,null,33118.0,21488.0,null,23889.0,55972.0,28700.0,5775.0,null,17249.0,44869.0,12371.0,82713.0,24177.0,24915.0,19320.0,23691.0,null,12765.0,24588.0,26268.0,31847.0,43746.0,59307.0,8961.0,36941.0,null,null,null,null,null,11849.0,null,null,null,null,43619.0,null,13677.0,7889.0,null,9319.0,13762.0,8109.0,null,null,null,7138.0,1742.0,4706.0,7024.0,null,16096.0,null,4866.0,20723.0,35384.0,null,10185.0,null,null,null,null,30702.0,null,52591.0,null,null,48357.0,null,null,null,null,null,null,null,null,null,33696.0,null,null,null,null,null,null,null,null,null,null,null,19502.0,6200.0,15826.0,21589.0,13218.0,10905.0,null,null,null,8539.0,11445.0,null,19244.0,18802.0],\"xaxis\":\"x\",\"y\":[76.09,59.398,60.608000000000004,67.33800000000001,59.919,60.123000000000005,57.583,72.117,50.881,53.137,63.471000000000004,63.097,56.065,59.254,64.13600000000001,71.30199999999999,57.358999999999995,64.664,55.358999999999995,65.048,64.913,60.91,62.772,59.598,56.958999999999996,64.798,51.038000000000004,62.269,72.12100000000001,65.539,61.953,57.50899999999999,63.93600000000001,74.5,79.408,75.726,57.206,62.119,60.631,53.111999999999995,79.775,67.45,80.202,69.377,66.747,73.182,52.941,55.92,62.648999999999994,56.855,64.429,63.111000000000004,59.927,75.922,61.373000000000005,69.21300000000001,61.736999999999995,59.534,63.376999999999995,74.467,72.266,76.762,71.514,70.419,75.318,68.637,75.928,72.973,84.04299999999999,68.607,70.768,75.796,69.929,82.34,83.87899999999999,74.078,71.319,75.13,70.876,66.546,78.768,83.70700000000001,75.461,77.691,69.111,65.81,69.515,71.48100000000001,76.887,66.577,73.442,70.64399999999999,79.758,74.65100000000001,82.87700000000001,82.1,76.316,69.908,79.743,70.137,76.09100000000001,68.459,76.532,67.704,77.285,70.928,75.11,66.085,78.025,83.073,81.182,73.652,80.969,76.865,74.584,82.429,77.892,80.35,78.692,80.475,77.783,80.13,81.196,82.22399999999999,80.77,79.351,81.548,76.006,82.48100000000001,81.344,80.82,82.82799999999999,74.733,82.039,74.923,81.63600000000001,81.896,71.47800000000001,85.73899999999999,76.452,81.715,75.406,81.91199999999999,77.859,81.22399999999999,75.476,71.464,84.375,75.309,76.827,80.673,82.98100000000001,82.251,83.14200000000001,71.535,81.05199999999999,74.344,81.332,76.483,75.725,73.08800000000001,78.801,74.03399999999999,81.999,77.033,78.411,82.02600000000001,83.324,79.565,78.561,78.268,74.194,73.241,72.41199999999999,71.407,72.445,81.22,73.25,62.485,74.495,74.098,81.753,74.904,74.339,73.649,77.77600000000001,79.52,75.532,75.596,81.092,80.533,72.095,78.36,72.941,79.594,78.91,79.914,73.58800000000001,82.794,75.40899999999999,67.10300000000001,76.78699999999999,79.14399999999999,67.291,72.789,67.315,59.758,76.827,81.71300000000001,73.135,75.279,72.834,63.466,72.73,72.173,81.065,70.517,66.457,69.869,79.3,76.068,70.277,74.994,79.646,76.531,76.143,80.876,79.555,69.262,73.66199999999999,75.792,71.249,77.369,72.584],\"yaxis\":\"y\"}],                        {\"legend\":{\"tracegroupgap\":0},\"margin\":{\"t\":60},\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"GDP per capita\"}},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Life expectancy\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('cbc7de2b-a327-4a73-aed5-1d5768e650dc');\n",
              "var x = new MutationObserver(function (mutations, observer) {{\n",
              "        var display = window.getComputedStyle(gd).display;\n",
              "        if (!display || display === 'none') {{\n",
              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
              "}}\n",
              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
              "}}\n",
              "\n",
              "                        })                };                            </script>        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "KJXTQPrLAUje",
        "outputId": "240bc361-4816-4fd9-a0c0-9f69908eb511"
      },
      "source": [
        "df2015 = data.query(\"Year==2015\")\n",
        "fig2015 = px.scatter(df2015, x=\"GDP per capita\", y=\"Life expectancy\", log_x=True)\n",
        "fig2015.show()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
              "        <script src=\"https://cdn.plot.ly/plotly-2.1.0.min.js\"></script>                <div id=\"08b216b6-19d2-474b-893a-357aef2665f2\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"08b216b6-19d2-474b-893a-357aef2665f2\")) {                    Plotly.newPlot(                        \"08b216b6-19d2-474b-893a-357aef2665f2\",                        [{\"hovertemplate\":\"GDP per capita=%{x}<br>Life expectancy=%{y}<extra></extra>\",\"legendgroup\":\"\",\"marker\":{\"color\":\"#636efa\",\"symbol\":\"circle\"},\"mode\":\"markers\",\"name\":\"\",\"orientation\":\"v\",\"showlegend\":false,\"type\":\"scatter\",\"x\":[14004.0,8689.0,2055.0,14805.0,1450.0,694.0,2778.0,6266.0,576.0,2384.0,1696.0,6272.0,3218.0,836.0,2941.0,11159.0,37822.0,null,7969.0,1553.0,18389.0,1786.0,3809.0,1364.0,1393.0,3046.0,2710.0,865.0,8514.0,1360.0,1124.0,1553.0,3424.0,18322.0,null,8001.0,1103.0,9462.0,913.0,5578.0,null,1693.0,null,3545.0,2311.0,25690.0,1563.0,null,12246.0,null,3625.0,2566.0,1370.0,11060.0,1954.0,null,3478.0,1560.0,1928.0,10042.0,17460.0,40483.0,3402.0,null,null,3086.0,12244.0,10603.0,47777.0,5794.0,10484.0,16253.0,13014.0,30954.0,37031.0,11519.0,23850.0,71354.0,4754.0,5559.0,12953.0,null,22432.0,null,12398.0,5021.0,2455.0,1762.52,38738.0,5030.0,5003.0,7047.0,156029.0,51681.0,65660.0,35269.0,10763.0,3049.0,41668.0,3789.0,15020.0,null,19836.0,22675.0,74746.0,9720.0,5763.0,2844.0,10032.0,null,41294.0,18136.0,38569.0,9495.0,16373.0,null,19698.0,24963.0,28194.0,44635.0,24493.0,null,36836.0,36827.0,44293.0,null,22442.0,22788.0,39727.0,54278.0,null,33118.0,21488.0,null,23889.0,55972.0,28700.0,5775.0,null,17249.0,44869.0,12371.0,82713.0,24177.0,24915.0,19320.0,23691.0,null,12765.0,24588.0,26268.0,31847.0,43746.0,59307.0,8961.0,36941.0,null,null,null,null,null,11849.0,null,null,null,null,43619.0,null,13677.0,7889.0,null,9319.0,13762.0,8109.0,null,null,null,7138.0,1742.0,4706.0,7024.0,null,16096.0,null,4866.0,20723.0,35384.0,null,10185.0,null,null,null,null,30702.0,null,52591.0,null,null,48357.0,null,null,null,null,null,null,null,null,null,33696.0,null,null,null,null,null,null,null,null,null,null,null,19502.0,6200.0,15826.0,21589.0,13218.0,10905.0,null,null,null,8539.0,11445.0,null,19244.0,18802.0],\"xaxis\":\"x\",\"y\":[76.09,59.398,60.608000000000004,67.33800000000001,59.919,60.123000000000005,57.583,72.117,50.881,53.137,63.471000000000004,63.097,56.065,59.254,64.13600000000001,71.30199999999999,57.358999999999995,64.664,55.358999999999995,65.048,64.913,60.91,62.772,59.598,56.958999999999996,64.798,51.038000000000004,62.269,72.12100000000001,65.539,61.953,57.50899999999999,63.93600000000001,74.5,79.408,75.726,57.206,62.119,60.631,53.111999999999995,79.775,67.45,80.202,69.377,66.747,73.182,52.941,55.92,62.648999999999994,56.855,64.429,63.111000000000004,59.927,75.922,61.373000000000005,69.21300000000001,61.736999999999995,59.534,63.376999999999995,74.467,72.266,76.762,71.514,70.419,75.318,68.637,75.928,72.973,84.04299999999999,68.607,70.768,75.796,69.929,82.34,83.87899999999999,74.078,71.319,75.13,70.876,66.546,78.768,83.70700000000001,75.461,77.691,69.111,65.81,69.515,71.48100000000001,76.887,66.577,73.442,70.64399999999999,79.758,74.65100000000001,82.87700000000001,82.1,76.316,69.908,79.743,70.137,76.09100000000001,68.459,76.532,67.704,77.285,70.928,75.11,66.085,78.025,83.073,81.182,73.652,80.969,76.865,74.584,82.429,77.892,80.35,78.692,80.475,77.783,80.13,81.196,82.22399999999999,80.77,79.351,81.548,76.006,82.48100000000001,81.344,80.82,82.82799999999999,74.733,82.039,74.923,81.63600000000001,81.896,71.47800000000001,85.73899999999999,76.452,81.715,75.406,81.91199999999999,77.859,81.22399999999999,75.476,71.464,84.375,75.309,76.827,80.673,82.98100000000001,82.251,83.14200000000001,71.535,81.05199999999999,74.344,81.332,76.483,75.725,73.08800000000001,78.801,74.03399999999999,81.999,77.033,78.411,82.02600000000001,83.324,79.565,78.561,78.268,74.194,73.241,72.41199999999999,71.407,72.445,81.22,73.25,62.485,74.495,74.098,81.753,74.904,74.339,73.649,77.77600000000001,79.52,75.532,75.596,81.092,80.533,72.095,78.36,72.941,79.594,78.91,79.914,73.58800000000001,82.794,75.40899999999999,67.10300000000001,76.78699999999999,79.14399999999999,67.291,72.789,67.315,59.758,76.827,81.71300000000001,73.135,75.279,72.834,63.466,72.73,72.173,81.065,70.517,66.457,69.869,79.3,76.068,70.277,74.994,79.646,76.531,76.143,80.876,79.555,69.262,73.66199999999999,75.792,71.249,77.369,72.584],\"yaxis\":\"y\"}],                        {\"legend\":{\"tracegroupgap\":0},\"margin\":{\"t\":60},\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"GDP per capita\"},\"type\":\"log\"},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Life expectancy\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('08b216b6-19d2-474b-893a-357aef2665f2');\n",
              "var x = new MutationObserver(function (mutations, observer) {{\n",
              "        var display = window.getComputedStyle(gd).display;\n",
              "        if (!display || display === 'none') {{\n",
              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
              "}}\n",
              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
              "}}\n",
              "\n",
              "                        })                };                            </script>        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "g4QRm4Hul1nh",
        "outputId": "fa312a36-9525-42fb-e6fb-e88d1f67c44b"
      },
      "source": [
        "df2015 = data.query(\"Year==2015\")\n",
        "fig2015 = px.scatter(df2015, x=\"GDP per capita\", y=\"Life expectancy\", log_x=True, size=\"Total population\", size_max=60, color=\"Continent\", hover_name=\"Country\")\n",
        "fig2015.show()"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
              "        <script src=\"https://cdn.plot.ly/plotly-2.1.0.min.js\"></script>                <div id=\"55d03ac7-bfb7-498d-85bb-91b723faa110\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"55d03ac7-bfb7-498d-85bb-91b723faa110\")) {                    Plotly.newPlot(                        \"55d03ac7-bfb7-498d-85bb-91b723faa110\",                        [{\"hovertemplate\":\"<b>%{hovertext}</b><br><br>Continent=Africa<br>GDP per capita=%{x}<br>Life expectancy=%{y}<br>Total population=%{marker.size}<extra></extra>\",\"hovertext\":[\"Algeria\",\"Angola\",\"Benin\",\"Botswana\",\"Burkina Faso\",\"Burundi\",\"Cameroon\",\"Cape Verde\",\"Central African Republic\",\"Chad\",\"Comoros\",\"Congo\",\"Cote d'Ivoire\",\"Democratic Republic of Congo\",\"Djibouti\",\"Egypt\",\"Equatorial Guinea\",\"Eritrea\",\"Eswatini\",\"Ethiopia\",\"Gabon\",\"Gambia\",\"Ghana\",\"Guinea\",\"Guinea-Bissau\",\"Kenya\",\"Lesotho\",\"Liberia\",\"Libya\",\"Madagascar\",\"Malawi\",\"Mali\",\"Mauritania\",\"Mauritius\",\"Mayotte\",\"Morocco\",\"Mozambique\",\"Namibia\",\"Niger\",\"Nigeria\",\"Reunion\",\"Rwanda\",\"Saint Helena\",\"Sao Tome and Principe\",\"Senegal\",\"Seychelles\",\"Sierra Leone\",\"Somalia\",\"South Africa\",\"South Sudan\",\"Sudan\",\"Tanzania\",\"Togo\",\"Tunisia\",\"Uganda\",\"Western Sahara\",\"Zambia\",\"Zimbabwe\"],\"legendgroup\":\"Africa\",\"marker\":{\"color\":\"#636efa\",\"size\":[39728000,27884000,10576000,2121000,18111000,10160000,23298000,525000,4493000,14111000,777000,4856000,23226000,76245000,914000,92443000,1169000,3343000,1104000,100835000,1948000,2086000,27849000,11432000,1737000,47878000,2059000,4472000,6418000,24234000,16745000,17439000,4046000,1259000,240000,34664000,27042000,2315000,20002000,181136992,863000,11369000,6000,199000,14578000,95000,7172000,13797000,55386000,10716000,38903000,51483000,7323000,11180000,38225000,526000,15879000,13815000],\"sizemode\":\"area\",\"sizeref\":390791.1111111111,\"symbol\":\"circle\"},\"mode\":\"markers\",\"name\":\"Africa\",\"orientation\":\"v\",\"showlegend\":true,\"type\":\"scatter\",\"x\":[14004.0,8689.0,2055.0,14805.0,1450.0,694.0,2778.0,6266.0,576.0,2384.0,1696.0,6272.0,3218.0,836.0,2941.0,11159.0,37822.0,null,7969.0,1553.0,18389.0,1786.0,3809.0,1364.0,1393.0,3046.0,2710.0,865.0,8514.0,1360.0,1124.0,1553.0,3424.0,18322.0,null,8001.0,1103.0,9462.0,913.0,5578.0,null,1693.0,null,3545.0,2311.0,25690.0,1563.0,null,12246.0,null,3625.0,2566.0,1370.0,11060.0,1954.0,null,3478.0,1560.0],\"xaxis\":\"x\",\"y\":[76.09,59.398,60.608000000000004,67.33800000000001,59.919,60.123000000000005,57.583,72.117,50.881,53.137,63.471000000000004,63.097,56.065,59.254,64.13600000000001,71.30199999999999,57.358999999999995,64.664,55.358999999999995,65.048,64.913,60.91,62.772,59.598,56.958999999999996,64.798,51.038000000000004,62.269,72.12100000000001,65.539,61.953,57.50899999999999,63.93600000000001,74.5,79.408,75.726,57.206,62.119,60.631,53.111999999999995,79.775,67.45,80.202,69.377,66.747,73.182,52.941,55.92,62.648999999999994,56.855,64.429,63.111000000000004,59.927,75.922,61.373000000000005,69.21300000000001,61.736999999999995,59.534],\"yaxis\":\"y\"},{\"hovertemplate\":\"<b>%{hovertext}</b><br><br>Continent=Asia<br>GDP per capita=%{x}<br>Life expectancy=%{y}<br>Total population=%{marker.size}<extra></extra>\",\"hovertext\":[\"Afghanistan\",\"Armenia\",\"Azerbaijan\",\"Bahrain\",\"Bangladesh\",\"Bhutan\",\"Brunei\",\"Cambodia\",\"China\",\"Georgia\",\"Hong Kong\",\"India\",\"Indonesia\",\"Iran\",\"Iraq\",\"Israel\",\"Japan\",\"Jordan\",\"Kazakhstan\",\"Kuwait\",\"Kyrgyzstan\",\"Laos\",\"Lebanon\",\"Macao\",\"Malaysia\",\"Maldives\",\"Mongolia\",\"Myanmar\",\"Nepal\",\"North Korea\",\"Oman\",\"Pakistan\",\"Palestine\",\"Philippines\",\"Qatar\",\"Saudi Arabia\",\"Singapore\",\"South Korea\",\"Sri Lanka\",\"Syria\",\"Taiwan\",\"Tajikistan\",\"Thailand\",\"Timor\",\"Turkey\",\"Turkmenistan\",\"United Arab Emirates\",\"Uzbekistan\",\"Vietnam\",\"Yemen\"],\"legendgroup\":\"Asia\",\"marker\":{\"color\":\"#EF553B\",\"size\":[34414000,2926000,9623000,1372000,156256000,728000,415000,15521000,1406848000,4024000,7186000,1310151936,258383008,78492000,35572000,7978000,127985000,9267000,17572000,3836000,5959000,6741000,6533000,602000,30271000,455000,2998000,52681000,27015000,25184000,4267000,199427008,4529000,102113000,2566000,31718000,5592000,50823000,20908000,17997000,23557000,8454000,68715000,1196000,78529000,5565000,9263000,30930000,92677000,26498000],\"sizemode\":\"area\",\"sizeref\":390791.1111111111,\"symbol\":\"circle\"},\"mode\":\"markers\",\"name\":\"Asia\",\"orientation\":\"v\",\"showlegend\":true,\"type\":\"scatter\",\"x\":[1928.0,10042.0,17460.0,40483.0,3402.0,null,null,3086.0,12244.0,10603.0,47777.0,5794.0,10484.0,16253.0,13014.0,30954.0,37031.0,11519.0,23850.0,71354.0,4754.0,5559.0,12953.0,null,22432.0,null,12398.0,5021.0,2455.0,1762.52,38738.0,5030.0,5003.0,7047.0,156029.0,51681.0,65660.0,35269.0,10763.0,3049.0,41668.0,3789.0,15020.0,null,19836.0,22675.0,74746.0,9720.0,5763.0,2844.0],\"xaxis\":\"x\",\"y\":[63.376999999999995,74.467,72.266,76.762,71.514,70.419,75.318,68.637,75.928,72.973,84.04299999999999,68.607,70.768,75.796,69.929,82.34,83.87899999999999,74.078,71.319,75.13,70.876,66.546,78.768,83.70700000000001,75.461,77.691,69.111,65.81,69.515,71.48100000000001,76.887,66.577,73.442,70.64399999999999,79.758,74.65100000000001,82.87700000000001,82.1,76.316,69.908,79.743,70.137,76.09100000000001,68.459,76.532,67.704,77.285,70.928,75.11,66.085],\"yaxis\":\"y\"},{\"hovertemplate\":\"<b>%{hovertext}</b><br><br>Continent=Europe<br>GDP per capita=%{x}<br>Life expectancy=%{y}<br>Total population=%{marker.size}<extra></extra>\",\"hovertext\":[\"Albania\",\"Andorra\",\"Austria\",\"Belarus\",\"Belgium\",\"Bosnia and Herzegovina\",\"Bulgaria\",\"Channel Islands\",\"Croatia\",\"Cyprus\",\"Czechia\",\"Denmark\",\"Estonia\",\"Faeroe Islands\",\"Finland\",\"France\",\"Germany\",\"Gibraltar\",\"Greece\",\"Hungary\",\"Iceland\",\"Ireland\",\"Isle of Man\",\"Italy\",\"Latvia\",\"Liechtenstein\",\"Lithuania\",\"Luxembourg\",\"Malta\",\"Moldova\",\"Monaco\",\"Montenegro\",\"Netherlands\",\"North Macedonia\",\"Norway\",\"Poland\",\"Portugal\",\"Romania\",\"Russia\",\"San Marino\",\"Serbia\",\"Slovakia\",\"Slovenia\",\"Spain\",\"Sweden\",\"Switzerland\",\"Ukraine\",\"United Kingdom\",\"Vatican\"],\"legendgroup\":\"Europe\",\"marker\":{\"color\":\"#00cc96\",\"size\":[2891000,78000,8679000,9439000,11288000,3429000,7200000,165000,4233000,1161000,10601000,5689000,1315000,48000,5481000,64453000,81787000,34000,10660000,9778000,330000,4652000,83000,60578000,1998000,37000,2932000,567000,434000,4071000,38000,627000,16938000,2079000,5200000,38034000,10368000,19925000,144984992,33000,8877000,5436000,2071000,46672000,9765000,8297000,44922000,65860000,1000],\"sizemode\":\"area\",\"sizeref\":390791.1111111111,\"symbol\":\"circle\"},\"mode\":\"markers\",\"name\":\"Europe\",\"orientation\":\"v\",\"showlegend\":true,\"type\":\"scatter\",\"x\":[10032.0,null,41294.0,18136.0,38569.0,9495.0,16373.0,null,19698.0,24963.0,28194.0,44635.0,24493.0,null,36836.0,36827.0,44293.0,null,22442.0,22788.0,39727.0,54278.0,null,33118.0,21488.0,null,23889.0,55972.0,28700.0,5775.0,null,17249.0,44869.0,12371.0,82713.0,24177.0,24915.0,19320.0,23691.0,null,12765.0,24588.0,26268.0,31847.0,43746.0,59307.0,8961.0,36941.0,null],\"xaxis\":\"x\",\"y\":[78.025,83.073,81.182,73.652,80.969,76.865,74.584,82.429,77.892,80.35,78.692,80.475,77.783,80.13,81.196,82.22399999999999,80.77,79.351,81.548,76.006,82.48100000000001,81.344,80.82,82.82799999999999,74.733,82.039,74.923,81.63600000000001,81.896,71.47800000000001,85.73899999999999,76.452,81.715,75.406,81.91199999999999,77.859,81.22399999999999,75.476,71.464,84.375,75.309,76.827,80.673,82.98100000000001,82.251,83.14200000000001,71.535,81.05199999999999,74.344],\"yaxis\":\"y\"},{\"hovertemplate\":\"<b>%{hovertext}</b><br><br>Continent=North America<br>GDP per capita=%{x}<br>Life expectancy=%{y}<br>Total population=%{marker.size}<extra></extra>\",\"hovertext\":[\"Anguilla\",\"Antigua and Barbuda\",\"Aruba\",\"Bahamas\",\"Barbados\",\"Belize\",\"Bermuda\",\"Bonaire Sint Eustatius and Saba\",\"British Virgin Islands\",\"Canada\",\"Cayman Islands\",\"Costa Rica\",\"Cuba\",\"Curacao\",\"Dominica\",\"Dominican Republic\",\"El Salvador\",\"Greenland\",\"Grenada\",\"Guadeloupe\",\"Guatemala\",\"Haiti\",\"Honduras\",\"Jamaica\",\"Martinique\",\"Mexico\",\"Montserrat\",\"Nicaragua\",\"Panama\",\"Puerto Rico\",\"Saint Kitts and Nevis\",\"Saint Lucia\",\"Saint Martin (French part)\",\"Saint Pierre and Miquelon\",\"Saint Vincent and the Grenadines\",\"Sint Maarten (Dutch part)\",\"Trinidad and Tobago\",\"Turks and Caicos Islands\",\"United States\",\"United States Virgin Islands\"],\"legendgroup\":\"North America\",\"marker\":{\"color\":\"#ab63fa\",\"size\":[14000,94000,104000,374000,285000,361000,64000,25000,29000,36027000,62000,4848000,11325000,160000,71000,10282000,6325000,56000,110000,400000,16252000,10696000,9113000,2891000,378000,121858000,5000,6223000,3968000,3382000,51000,179000,36000,6000,109000,40000,1370000,36000,320878016,105000],\"sizemode\":\"area\",\"sizeref\":390791.1111111111,\"symbol\":\"circle\"},\"mode\":\"markers\",\"name\":\"North America\",\"orientation\":\"v\",\"showlegend\":true,\"type\":\"scatter\",\"x\":[null,null,null,null,11849.0,null,null,null,null,43619.0,null,13677.0,7889.0,null,9319.0,13762.0,8109.0,null,null,null,7138.0,1742.0,4706.0,7024.0,null,16096.0,null,4866.0,20723.0,35384.0,null,10185.0,null,null,null,null,30702.0,null,52591.0,null],\"xaxis\":\"x\",\"y\":[81.332,76.483,75.725,73.08800000000001,78.801,74.03399999999999,81.999,77.033,78.411,82.02600000000001,83.324,79.565,78.561,78.268,74.194,73.241,72.41199999999999,71.407,72.445,81.22,73.25,62.485,74.495,74.098,81.753,74.904,74.339,73.649,77.77600000000001,79.52,75.532,75.596,81.092,80.533,72.095,78.36,72.941,79.594,78.91,79.914],\"yaxis\":\"y\"},{\"hovertemplate\":\"<b>%{hovertext}</b><br><br>Continent=Oceania<br>GDP per capita=%{x}<br>Life expectancy=%{y}<br>Total population=%{marker.size}<extra></extra>\",\"hovertext\":[\"American Samoa\",\"Australia\",\"Cook Islands\",\"Fiji\",\"French Polynesia\",\"Guam\",\"Kiribati\",\"Marshall Islands\",\"Micronesia (country)\",\"Nauru\",\"New Caledonia\",\"New Zealand\",\"Niue\",\"Northern Mariana Islands\",\"Palau\",\"Papua New Guinea\",\"Samoa\",\"Solomon Islands\",\"Tokelau\",\"Tonga\",\"Tuvalu\",\"Vanuatu\",\"Wallis and Futuna\"],\"legendgroup\":\"Oceania\",\"marker\":{\"color\":\"#FFA15A\",\"size\":[56000,23932000,18000,869000,273000,162000,111000,57000,109000,10000,271000,4615000,2000,56000,18000,8108000,194000,603000,1000,101000,11000,271000,12000],\"sizemode\":\"area\",\"sizeref\":390791.1111111111,\"symbol\":\"circle\"},\"mode\":\"markers\",\"name\":\"Oceania\",\"orientation\":\"v\",\"showlegend\":true,\"type\":\"scatter\",\"x\":[null,48357.0,null,null,null,null,null,null,null,null,null,33696.0,null,null,null,null,null,null,null,null,null,null,null],\"xaxis\":\"x\",\"y\":[73.58800000000001,82.794,75.40899999999999,67.10300000000001,76.78699999999999,79.14399999999999,67.291,72.789,67.315,59.758,76.827,81.71300000000001,73.135,75.279,72.834,63.466,72.73,72.173,81.065,70.517,66.457,69.869,79.3],\"yaxis\":\"y\"},{\"hovertemplate\":\"<b>%{hovertext}</b><br><br>Continent=South America<br>GDP per capita=%{x}<br>Life expectancy=%{y}<br>Total population=%{marker.size}<extra></extra>\",\"hovertext\":[\"Argentina\",\"Bolivia\",\"Brazil\",\"Chile\",\"Colombia\",\"Ecuador\",\"Falkland Islands\",\"French Guiana\",\"Guyana\",\"Paraguay\",\"Peru\",\"Suriname\",\"Uruguay\",\"Venezuela\"],\"legendgroup\":\"South America\",\"marker\":{\"color\":\"#19d3f3\",\"size\":[43075000,10870000,204472000,17969000,47521000,16212000,3000,261000,767000,6689000,30471000,559000,3412000,30082000],\"sizemode\":\"area\",\"sizeref\":390791.1111111111,\"symbol\":\"circle\"},\"mode\":\"markers\",\"name\":\"South America\",\"orientation\":\"v\",\"showlegend\":true,\"type\":\"scatter\",\"x\":[19502.0,6200.0,15826.0,21589.0,13218.0,10905.0,null,null,null,8539.0,11445.0,null,19244.0,18802.0],\"xaxis\":\"x\",\"y\":[76.068,70.277,74.994,79.646,76.531,76.143,80.876,79.555,69.262,73.66199999999999,75.792,71.249,77.369,72.584],\"yaxis\":\"y\"}],                        {\"legend\":{\"itemsizing\":\"constant\",\"title\":{\"text\":\"Continent\"},\"tracegroupgap\":0},\"margin\":{\"t\":60},\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"GDP per capita\"},\"type\":\"log\"},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Life expectancy\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('55d03ac7-bfb7-498d-85bb-91b723faa110');\n",
              "var x = new MutationObserver(function (mutations, observer) {{\n",
              "        var display = window.getComputedStyle(gd).display;\n",
              "        if (!display || display === 'none') {{\n",
              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
              "}}\n",
              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
              "}}\n",
              "\n",
              "                        })                };                            </script>        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "w40uImncDG2A"
      },
      "source": [
        "For more details on plotly, refer https://plotly.com/python/basic-charts/ Plotly Python Open Source Graphing Library Basic Charts Plotly's Python graphing library makes interactive, publication-quality graphs online. \n",
        "\n",
        "For more details on world data of population, GDP and life expectancy, refer https://ourworldindata.org/grapher/life-expectancy-vs-gdp-per-capita"
      ]
    }
  ]
}