{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Untitled99.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyPaejRvX6s7Gb7N3reW0xkx",
      "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/nurfnick/Data_Viz/blob/main/Content/Data_Visualization/27_Proportions.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Proportions"
      ],
      "metadata": {
        "id": "rwaImiNeLZij"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "There are many ways to visualize proportions.  We have already seen bar graphs but we'll include them,. stacked bars and pie charts here with `matplotlib` and `seaborn`."
      ],
      "metadata": {
        "id": "nktZ352oLdBB"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "s-SeLXX1LZA0",
        "outputId": "f4d6fd2d-6dc9-4361-f0d4-c6dcc3ed326f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 317
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Unnamed: 0 activity_day    workout_type  distance  time  calories  \\\n",
              "0           0   2022-01-01       Freestyle      9.30    77       123   \n",
              "1           1   2022-01-01       Freestyle      3.44    96        55   \n",
              "2           2   2022-01-01  Indoor Cycling      6.34    85        33   \n",
              "3           3   2022-01-01         Walking      7.91    42        82   \n",
              "4           4   2022-01-01      Open Water      8.99    36       131   \n",
              "\n",
              "   total_steps  avg_speed  avg_cadence  max_cadence  ... max_pace min_pace  \\\n",
              "0          NaN      18.88       168.54       138.30  ...      NaN      NaN   \n",
              "1          NaN      29.65       125.92       292.81  ...      NaN      NaN   \n",
              "2          NaN      17.85        81.93       323.69  ...      NaN      NaN   \n",
              "3       1571.0      22.10        29.63       180.16  ...    28:58    07:58   \n",
              "4          NaN      25.83        64.55       342.89  ...      NaN      NaN   \n",
              "\n",
              "  avg_heart_rate  max_heart_rate  min_heart_rate  vo2_max(%)  aerobic(%)  \\\n",
              "0          112.5           122.0             103          19          28   \n",
              "1          111.0           122.0             100          42          28   \n",
              "2           95.0            90.0             100           1          32   \n",
              "3           83.0            85.0              81           3          22   \n",
              "4          138.0           166.0             110           7           0   \n",
              "\n",
              "   anaerobic(%)  intensive(%)  light(%)  \n",
              "0             2             7        50  \n",
              "1             2            29        88  \n",
              "2             0            22        43  \n",
              "3             0            24        65  \n",
              "4             5            21        88  \n",
              "\n",
              "[5 rows x 21 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d15953b0-b5a3-40a5-b188-f1f9006a2b66\">\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: 0</th>\n",
              "      <th>activity_day</th>\n",
              "      <th>workout_type</th>\n",
              "      <th>distance</th>\n",
              "      <th>time</th>\n",
              "      <th>calories</th>\n",
              "      <th>total_steps</th>\n",
              "      <th>avg_speed</th>\n",
              "      <th>avg_cadence</th>\n",
              "      <th>max_cadence</th>\n",
              "      <th>...</th>\n",
              "      <th>max_pace</th>\n",
              "      <th>min_pace</th>\n",
              "      <th>avg_heart_rate</th>\n",
              "      <th>max_heart_rate</th>\n",
              "      <th>min_heart_rate</th>\n",
              "      <th>vo2_max(%)</th>\n",
              "      <th>aerobic(%)</th>\n",
              "      <th>anaerobic(%)</th>\n",
              "      <th>intensive(%)</th>\n",
              "      <th>light(%)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>2022-01-01</td>\n",
              "      <td>Freestyle</td>\n",
              "      <td>9.30</td>\n",
              "      <td>77</td>\n",
              "      <td>123</td>\n",
              "      <td>NaN</td>\n",
              "      <td>18.88</td>\n",
              "      <td>168.54</td>\n",
              "      <td>138.30</td>\n",
              "      <td>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>112.5</td>\n",
              "      <td>122.0</td>\n",
              "      <td>103</td>\n",
              "      <td>19</td>\n",
              "      <td>28</td>\n",
              "      <td>2</td>\n",
              "      <td>7</td>\n",
              "      <td>50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>2022-01-01</td>\n",
              "      <td>Freestyle</td>\n",
              "      <td>3.44</td>\n",
              "      <td>96</td>\n",
              "      <td>55</td>\n",
              "      <td>NaN</td>\n",
              "      <td>29.65</td>\n",
              "      <td>125.92</td>\n",
              "      <td>292.81</td>\n",
              "      <td>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>111.0</td>\n",
              "      <td>122.0</td>\n",
              "      <td>100</td>\n",
              "      <td>42</td>\n",
              "      <td>28</td>\n",
              "      <td>2</td>\n",
              "      <td>29</td>\n",
              "      <td>88</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>2022-01-01</td>\n",
              "      <td>Indoor Cycling</td>\n",
              "      <td>6.34</td>\n",
              "      <td>85</td>\n",
              "      <td>33</td>\n",
              "      <td>NaN</td>\n",
              "      <td>17.85</td>\n",
              "      <td>81.93</td>\n",
              "      <td>323.69</td>\n",
              "      <td>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>95.0</td>\n",
              "      <td>90.0</td>\n",
              "      <td>100</td>\n",
              "      <td>1</td>\n",
              "      <td>32</td>\n",
              "      <td>0</td>\n",
              "      <td>22</td>\n",
              "      <td>43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>2022-01-01</td>\n",
              "      <td>Walking</td>\n",
              "      <td>7.91</td>\n",
              "      <td>42</td>\n",
              "      <td>82</td>\n",
              "      <td>1571.0</td>\n",
              "      <td>22.10</td>\n",
              "      <td>29.63</td>\n",
              "      <td>180.16</td>\n",
              "      <td>...</td>\n",
              "      <td>28:58</td>\n",
              "      <td>07:58</td>\n",
              "      <td>83.0</td>\n",
              "      <td>85.0</td>\n",
              "      <td>81</td>\n",
              "      <td>3</td>\n",
              "      <td>22</td>\n",
              "      <td>0</td>\n",
              "      <td>24</td>\n",
              "      <td>65</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>2022-01-01</td>\n",
              "      <td>Open Water</td>\n",
              "      <td>8.99</td>\n",
              "      <td>36</td>\n",
              "      <td>131</td>\n",
              "      <td>NaN</td>\n",
              "      <td>25.83</td>\n",
              "      <td>64.55</td>\n",
              "      <td>342.89</td>\n",
              "      <td>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>138.0</td>\n",
              "      <td>166.0</td>\n",
              "      <td>110</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>21</td>\n",
              "      <td>88</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 21 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d15953b0-b5a3-40a5-b188-f1f9006a2b66')\"\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-d15953b0-b5a3-40a5-b188-f1f9006a2b66 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-d15953b0-b5a3-40a5-b188-f1f9006a2b66');\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": 1
        }
      ],
      "source": [
        "import pandas as pa\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "df = pa.read_csv('https://raw.githubusercontent.com/nurfnick/Data_Viz/main/Data_Sets/Activity_Dataset_V1.csv')\n",
        "\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Pies and Bars"
      ],
      "metadata": {
        "id": "EK8ojVvbPDkX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.groupby('workout_type').workout_type.agg('count')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "q1wLC3iGwOTb",
        "outputId": "a1a243ea-dbdb-4fab-d8c6-857af82588fa"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "workout_type\n",
              "Cricket            93\n",
              "Freestyle          96\n",
              "Indoor Cycling     80\n",
              "Open Water         91\n",
              "Outdoor Cycling    85\n",
              "Outdoor Running    81\n",
              "Pool Swimming      94\n",
              "Trail Run          90\n",
              "Treadmill          98\n",
              "Trekking           94\n",
              "Walking            98\n",
              "Name: workout_type, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.pie(x=df.groupby('workout_type').workout_type.agg('count'),labels = df.groupby('workout_type').workout_type.agg('count').index, autopct='%.0f%%' )\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 248
        },
        "id": "X-F6NbkpMh7n",
        "outputId": "8c9084cd-2c34-4162-b992-12996cc4f31b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "A couple of things about this graphic:\n",
        "\n",
        "1. It took a fair amount of work with the `groupby` and `index` to create.\n",
        "2. It is reporting the percentages rather than the raw numbers (we could fix that!)\n",
        "3. Cricket and Walking are right next to each other and get the same color."
      ],
      "metadata": {
        "id": "kkJcs4o3NLyn"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let's put that same data into a bar chart."
      ],
      "metadata": {
        "id": "lvcS94mXPGM2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ax = sns.barplot( x= df.groupby('workout_type').workout_type.agg('count').index,\n",
        "                 y = df.groupby('workout_type').workout_type.agg('count'))\n",
        "ax.set_xticklabels(ax.get_xticklabels(),rotation = 30)\n",
        "ax.set_title('Colorful Bar Chart')\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "id": "6u8zUTMWPKOV",
        "outputId": "cb52e70e-39bf-4d08-cc05-2e4c72c9a37f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1 = df.groupby('workout_type').workout_type.agg(count = 'count')\n",
        "df1 = df1.reset_index()\n",
        "\n",
        "df1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "UK5PKp_BxjhI",
        "outputId": "167529bf-d7d5-4ce5-80bf-c65a488b817a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       workout_type  count\n",
              "0           Cricket     93\n",
              "1         Freestyle     96\n",
              "2    Indoor Cycling     80\n",
              "3        Open Water     91\n",
              "4   Outdoor Cycling     85\n",
              "5   Outdoor Running     81\n",
              "6     Pool Swimming     94\n",
              "7         Trail Run     90\n",
              "8         Treadmill     98\n",
              "9          Trekking     94\n",
              "10          Walking     98"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-0f2c1a34-721b-449e-8282-0f69a46f52c0\">\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>workout_type</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Cricket</td>\n",
              "      <td>93</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Freestyle</td>\n",
              "      <td>96</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Indoor Cycling</td>\n",
              "      <td>80</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Open Water</td>\n",
              "      <td>91</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Outdoor Cycling</td>\n",
              "      <td>85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Outdoor Running</td>\n",
              "      <td>81</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Pool Swimming</td>\n",
              "      <td>94</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Trail Run</td>\n",
              "      <td>90</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Treadmill</td>\n",
              "      <td>98</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Trekking</td>\n",
              "      <td>94</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Walking</td>\n",
              "      <td>98</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0f2c1a34-721b-449e-8282-0f69a46f52c0')\"\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-0f2c1a34-721b-449e-8282-0f69a46f52c0 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-0f2c1a34-721b-449e-8282-0f69a46f52c0');\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": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "ax = sns.barplot(data = df1,x = 'workout_type', y = 'count')\n",
        "ax.set_xticklabels(ax.get_xticklabels(),rotation = 30)\n",
        "ax.set_title('Coolest Graph')\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "if7Hzl9XpFcn",
        "outputId": "f59a43db-b001-4527-8e99-fb60cfcfd921",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Mosaic Plots"
      ],
      "metadata": {
        "id": "sQ2Eqc0vt01E"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from statsmodels.graphics.mosaicplot import mosaic\n",
        "df2 = df[(df.activity_day == '2022-01-01')|(df.activity_day == '2022-01-02')|(df.activity_day == '2022-01-03')]\n",
        "ax = mosaic(df2, [ 'workout_type','activity_day'])\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "_q9zxmr8t3Fb",
        "outputId": "63154c42-28d8-4249-b99e-db863c0385bb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 275
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 3 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df2.groupby(['workout_type','activity_day']).workout_type.agg('count')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "68f6p4anyokx",
        "outputId": "70554c68-b033-438e-b18c-e7bf43dc7cd1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "workout_type     activity_day\n",
              "Cricket          2022-01-01      4\n",
              "                 2022-01-02      3\n",
              "Freestyle        2022-01-01      3\n",
              "                 2022-01-02      4\n",
              "                 2022-01-03      3\n",
              "Indoor Cycling   2022-01-01      4\n",
              "                 2022-01-03      2\n",
              "Open Water       2022-01-01      4\n",
              "                 2022-01-02      1\n",
              "                 2022-01-03      2\n",
              "Outdoor Cycling  2022-01-01      2\n",
              "                 2022-01-03      2\n",
              "Outdoor Running  2022-01-01      3\n",
              "                 2022-01-02      3\n",
              "                 2022-01-03      1\n",
              "Pool Swimming    2022-01-01      1\n",
              "                 2022-01-02      4\n",
              "                 2022-01-03      1\n",
              "Trail Run        2022-01-01      2\n",
              "                 2022-01-02      3\n",
              "                 2022-01-03      2\n",
              "Treadmill        2022-01-01      2\n",
              "                 2022-01-02      2\n",
              "                 2022-01-03      3\n",
              "Trekking         2022-01-01      2\n",
              "                 2022-01-02      2\n",
              "                 2022-01-03      5\n",
              "Walking          2022-01-01      1\n",
              "                 2022-01-02      1\n",
              "                 2022-01-03      2\n",
              "Name: workout_type, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Colors"
      ],
      "metadata": {
        "id": "qA4QoHQ0ORcB"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "You can access the seaborn colors with the following code."
      ],
      "metadata": {
        "id": "DkVaOpIkOTZU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.color_palette('bright')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 76
        },
        "id": "GpSTb906Mwfm",
        "outputId": "703901a8-5b59-4247-af7d-bae2dd177533"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(0.00784313725490196, 0.24313725490196078, 1.0),\n",
              " (1.0, 0.48627450980392156, 0.0),\n",
              " (0.10196078431372549, 0.788235294117647, 0.2196078431372549),\n",
              " (0.9098039215686274, 0.0, 0.043137254901960784),\n",
              " (0.5450980392156862, 0.16862745098039217, 0.8862745098039215),\n",
              " (0.6235294117647059, 0.2823529411764706, 0.0),\n",
              " (0.9450980392156862, 0.2980392156862745, 0.7568627450980392),\n",
              " (0.6392156862745098, 0.6392156862745098, 0.6392156862745098),\n",
              " (1.0, 0.7686274509803922, 0.0),\n",
              " (0.0, 0.8431372549019608, 1.0)]"
            ],
            "text/html": [
              "<svg  width=\"550\" height=\"55\"><rect x=\"0\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#023eff;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"55\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#ff7c00;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"110\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#1ac938;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"165\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#e8000b;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"220\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#8b2be2;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"275\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#9f4800;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"330\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#f14cc1;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"385\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#a3a3a3;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"440\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#ffc400;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"495\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#00d7ff;stroke-width:2;stroke:rgb(255,255,255)\"/></svg>"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "There are many options; deep, muted, pastel, bright, dark, and colorblind."
      ],
      "metadata": {
        "id": "1IwOrE9COdbu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.color_palette('deep')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 76
        },
        "id": "CQfd5foLO6aq",
        "outputId": "ef8b20c0-9596-4d38-d48d-81c5fd9052f9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(0.2980392156862745, 0.4470588235294118, 0.6901960784313725),\n",
              " (0.8666666666666667, 0.5176470588235295, 0.3215686274509804),\n",
              " (0.3333333333333333, 0.6588235294117647, 0.40784313725490196),\n",
              " (0.7686274509803922, 0.3058823529411765, 0.3215686274509804),\n",
              " (0.5058823529411764, 0.4470588235294118, 0.7019607843137254),\n",
              " (0.5764705882352941, 0.47058823529411764, 0.3764705882352941),\n",
              " (0.8549019607843137, 0.5450980392156862, 0.7647058823529411),\n",
              " (0.5490196078431373, 0.5490196078431373, 0.5490196078431373),\n",
              " (0.8, 0.7254901960784313, 0.4549019607843137),\n",
              " (0.39215686274509803, 0.7098039215686275, 0.803921568627451)]"
            ],
            "text/html": [
              "<svg  width=\"550\" height=\"55\"><rect x=\"0\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#4c72b0;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"55\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#dd8452;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"110\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#55a868;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"165\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#c44e52;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"220\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#8172b3;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"275\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#937860;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"330\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#da8bc3;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"385\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#8c8c8c;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"440\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#ccb974;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"495\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#64b5cd;stroke-width:2;stroke:rgb(255,255,255)\"/></svg>"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.color_palette('colorblind')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 76
        },
        "id": "0KuVwvfgGTNp",
        "outputId": "9d8e0db0-cf7c-49a8-eac2-b964b88e33a1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(0.00392156862745098, 0.45098039215686275, 0.6980392156862745),\n",
              " (0.8705882352941177, 0.5607843137254902, 0.0196078431372549),\n",
              " (0.00784313725490196, 0.6196078431372549, 0.45098039215686275),\n",
              " (0.8352941176470589, 0.3686274509803922, 0.0),\n",
              " (0.8, 0.47058823529411764, 0.7372549019607844),\n",
              " (0.792156862745098, 0.5686274509803921, 0.3803921568627451),\n",
              " (0.984313725490196, 0.6862745098039216, 0.8941176470588236),\n",
              " (0.5803921568627451, 0.5803921568627451, 0.5803921568627451),\n",
              " (0.9254901960784314, 0.8823529411764706, 0.2),\n",
              " (0.33725490196078434, 0.7058823529411765, 0.9137254901960784)]"
            ],
            "text/html": [
              "<svg  width=\"550\" height=\"55\"><rect x=\"0\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#0173b2;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"55\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#de8f05;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"110\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#029e73;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"165\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#d55e00;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"220\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#cc78bc;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"275\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#ca9161;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"330\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#fbafe4;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"385\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#949494;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"440\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#ece133;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"495\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#56b4e9;stroke-width:2;stroke:rgb(255,255,255)\"/></svg>"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.color_palette('coolwarm')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 76
        },
        "id": "mwOXWWMR3IUT",
        "outputId": "852e0e99-e830-4e6a-e03b-d8467c47c24f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(0.4044212904941176, 0.5346434904470588, 0.9320019126352941),\n",
              " (0.603162067917647, 0.7315274773529412, 0.9995652785372549),\n",
              " (0.7867207013568628, 0.8448072103686275, 0.9398103849490196),\n",
              " (0.9306685963333333, 0.818876999654902, 0.7591463906980392),\n",
              " (0.9673165156666667, 0.6574708288078431, 0.5381601507294118),\n",
              " (0.8846434386941177, 0.41001709788235297, 0.32250654924705885)]"
            ],
            "text/html": [
              "<svg  width=\"330\" height=\"55\"><rect x=\"0\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#6788ee;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"55\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#9abbff;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"110\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#c9d7f0;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"165\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#edd1c2;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"220\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#f7a889;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"275\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#e26952;stroke-width:2;stroke:rgb(255,255,255)\"/></svg>"
            ]
          },
          "metadata": {},
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "ax = sns.barplot(data = df1,x = 'workout_type', y = 'count', color = 'blue')\n",
        "ax.set_xticklabels(ax.get_xticklabels(),rotation = 30)\n",
        "ax.set_title('One Color Graph')\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "id": "GuAaAXPwz9UV",
        "outputId": "55227875-d5ba-45ee-ce91-0d9b90e2d4b2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "I was not able to get the following code to work in a Jupyter notebook setting!"
      ],
      "metadata": {
        "id": "jjaAHxuL24_c"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.set_palette('bright')"
      ],
      "metadata": {
        "id": "BhJKi6N21-se"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Instead I placed the color directly in the graphics command."
      ],
      "metadata": {
        "id": "rQWsmfzH2_rx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ax = sns.barplot(data = df1,\n",
        "                 x = 'workout_type', \n",
        "                 y = 'count',\n",
        "                 palette=sns.color_palette('coolwarm', n_colors= 6))\n",
        "ax.set_xticklabels(ax.get_xticklabels(),rotation = 30)\n",
        "ax.set_title('Warm Colored Graph')\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "id": "2cROJIMD2dQg",
        "outputId": "3adcc6fd-1a4b-42f0-8bf0-d2aa6f65530e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Annotate"
      ],
      "metadata": {
        "id": "fWmf5hUqLi4Z"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "You can add context directly to your graphic by using the `annotate` command."
      ],
      "metadata": {
        "id": "ZMLPIJSzLmTa"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ax = sns.barplot( x= df.groupby('workout_type').workout_type.agg('count').index, y = df.groupby('workout_type').workout_type.agg('count'))\n",
        "ax.set_xticklabels(ax.get_xticklabels(),rotation = 30)\n",
        "ax.annotate(\"Crazy Runners\",\n",
        "            xy = [8,100],\n",
        "            xytext = [9,110],\n",
        "            arrowprops = dict(facecolor = 'red', width = 3, headwidth = 12, headlength = 6))\n",
        "ax.set_title('Annotated Graph')\n",
        "ax.set_ylabel('Frequency')\n",
        "\n",
        "plt.show()\n"
      ],
      "metadata": {
        "id": "y7bXbMe7L3Px",
        "outputId": "f6805098-d5f8-4705-a91d-3fd5d49e3434",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 344
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Your Turn\n",
        "\n",
        "1. Take the first pie chart and create it with the numbers (instead of the percentages) and use a different color scheme that won't have two right next to each other of the same color.  Annotate the graph in some way.\n",
        "2. Explain what a Mosaic Plot might be able to show you that a pie and bar chart cannot."
      ],
      "metadata": {
        "id": "ODKT-qPYN2DO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "TBJvrlglOHha"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}