Feature_Engineering.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyO+ZU2ipX/UeoOy6U2b1LbZ",
      "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/sushantnair/Feature_Engineering/blob/main/Feature_Engineering.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "RCjcFmJqeG3L"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn import datasets\n",
        "from sklearn.model_selection import train_test_split\n",
        "import matplotlib.pyplot as plt"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "id": "gE7dYIKUeiva",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c0bbb1e2-6596-4596-b0d8-dc62eed77e1c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data = pd.read_csv('/content/drive/MyDrive/Colab Notebooks/26th_December_2023_Air_Quality_Dataset.csv')"
      ],
      "metadata": {
        "id": "5T40PmZ4esQi"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a list of temperature values\n",
        "temperature_values = ['Hot', 'Moderate', 'Cold']"
      ],
      "metadata": {
        "id": "c2eSxU9-c7Gg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Add a new column 'Air Temperature' with alternating \"Hot\", \"Moderate\" and \"Cold\".\n",
        "data['Air Temperature'] = [temperature_values[i % len(temperature_values)] for i in range(len(data))]"
      ],
      "metadata": {
        "id": "cK0gQBJKdKgj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 330
        },
        "id": "DwP2yPF_e3dZ",
        "outputId": "59267316-68c7-4b74-b520-ce2b1b7b74c7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   id country           state      city            station station_code  \\\n",
              "0   0   India  Andhra_Pradesh  A0ntapur          Gulzarpet        APPCB   \n",
              "1   1   India  Andhra_Pradesh  Chittoor  Gangineni Cheruvu        APPCB   \n",
              "2   2   India  Andhra_Pradesh  Tirupati           Tirumala        APPCB   \n",
              "3   3   India  Andhra_Pradesh  Tirupati           Tirumala        APPCB   \n",
              "4   4   India  Andhra_Pradesh  Tirupati           Tirumala        APPCB   \n",
              "\n",
              "        last_update   latitude  longitude pollutant_id  pollutant_min  \\\n",
              "0  26-12-2023 22:00  14.675886  77.593027          SO2              0   \n",
              "1  26-12-2023 22:00  13.204880  79.097889          SO2              7   \n",
              "2  26-12-2023 22:00  13.670000  79.350000          NH3              2   \n",
              "3  26-12-2023 22:00  13.670000  79.350000           CO             40   \n",
              "4  26-12-2023 22:00  13.670000  79.350000        OZONE              9   \n",
              "\n",
              "   pollutant_max  pollutant_avg Air Temperature  \n",
              "0              0              0             Hot  \n",
              "1             32             12        Moderate  \n",
              "2              5              3            Cold  \n",
              "3             64             47             Hot  \n",
              "4             50             34        Moderate  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-8ee53ee0-5acd-4f24-8a4f-3c4f8de9213d\" 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>id</th>\n",
              "      <th>country</th>\n",
              "      <th>state</th>\n",
              "      <th>city</th>\n",
              "      <th>station</th>\n",
              "      <th>station_code</th>\n",
              "      <th>last_update</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>pollutant_id</th>\n",
              "      <th>pollutant_min</th>\n",
              "      <th>pollutant_max</th>\n",
              "      <th>pollutant_avg</th>\n",
              "      <th>Air Temperature</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>India</td>\n",
              "      <td>Andhra_Pradesh</td>\n",
              "      <td>A0ntapur</td>\n",
              "      <td>Gulzarpet</td>\n",
              "      <td>APPCB</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>14.675886</td>\n",
              "      <td>77.593027</td>\n",
              "      <td>SO2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Hot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>India</td>\n",
              "      <td>Andhra_Pradesh</td>\n",
              "      <td>Chittoor</td>\n",
              "      <td>Gangineni Cheruvu</td>\n",
              "      <td>APPCB</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.204880</td>\n",
              "      <td>79.097889</td>\n",
              "      <td>SO2</td>\n",
              "      <td>7</td>\n",
              "      <td>32</td>\n",
              "      <td>12</td>\n",
              "      <td>Moderate</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>India</td>\n",
              "      <td>Andhra_Pradesh</td>\n",
              "      <td>Tirupati</td>\n",
              "      <td>Tirumala</td>\n",
              "      <td>APPCB</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>NH3</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>Cold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>India</td>\n",
              "      <td>Andhra_Pradesh</td>\n",
              "      <td>Tirupati</td>\n",
              "      <td>Tirumala</td>\n",
              "      <td>APPCB</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>CO</td>\n",
              "      <td>40</td>\n",
              "      <td>64</td>\n",
              "      <td>47</td>\n",
              "      <td>Hot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>India</td>\n",
              "      <td>Andhra_Pradesh</td>\n",
              "      <td>Tirupati</td>\n",
              "      <td>Tirumala</td>\n",
              "      <td>APPCB</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>OZONE</td>\n",
              "      <td>9</td>\n",
              "      <td>50</td>\n",
              "      <td>34</td>\n",
              "      <td>Moderate</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8ee53ee0-5acd-4f24-8a4f-3c4f8de9213d')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-8ee53ee0-5acd-4f24-8a4f-3c4f8de9213d 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-8ee53ee0-5acd-4f24-8a4f-3c4f8de9213d');\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",
              "\n",
              "\n",
              "<div id=\"df-36507c98-83df-4c18-9ef7-d20c2684b198\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-36507c98-83df-4c18-9ef7-d20c2684b198')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-36507c98-83df-4c18-9ef7-d20c2684b198 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data"
      ],
      "metadata": {
        "id": "wR0dX6q3e865"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data.info()"
      ],
      "metadata": {
        "id": "lIv0tbUjgYJ3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data1 = data.copy()"
      ],
      "metadata": {
        "id": "dO0yxp79glXA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# This step is applied only to those columns which have string data. Columns with numerical data are handled later\n",
        "columns = ['country','state','city','station','station_code','pollutant_id', ]\n",
        "for col in columns:\n",
        "  print(data1[col].unique())"
      ],
      "metadata": {
        "id": "paSfoZIciTfA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data1['state'].unique()"
      ],
      "metadata": {
        "id": "yu5H0fV7lufz",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2f97a9b0-c830-4025-fec0-fa7f0c36121d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Andhra_Pradesh', 'Assam', 'Bihar', 'Chandigarh', 'Chhattisgarh',\n",
              "       'Delhi', 'Gujarat', 'Harya0', 'Himachal Pradesh', 'Jharkhand',\n",
              "       'Kar0taka', 'Kerala', 'Madhya Pradesh', 'Maharashtra', 'Manipur',\n",
              "       'Meghalaya', '0galand', 'Odisha', 'Punjab', 'Rajasthan',\n",
              "       'Tamil0du', 'Telanga0', 'Tripura', 'Uttar_Pradesh', 'Uttarakhand',\n",
              "       'West_Bengal', 'Aru0chal_Pradesh', 'Jammu_and_Kashmir',\n",
              "       'Puducherry', 'Sikkim', 'Mizoram'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "state_mapping = {}\n",
        "val = 1\n",
        "for state in data1['state'].unique():\n",
        "    # print(state)\n",
        "    state_mapping[f'{state}'] = val\n",
        "    val += 1\n",
        "# state_mapping\n",
        "\n",
        "city_mapping = {}\n",
        "val = 1\n",
        "for city in data1['city'].unique():\n",
        "    # print(city)\n",
        "    city_mapping[f'{city}'] = val\n",
        "    val += 1\n",
        "# city_mapping\n",
        "\n",
        "station_mapping = {}\n",
        "val = 1\n",
        "for station in data1['station'].unique():\n",
        "    # print(station)\n",
        "    station_mapping[f'{station}'] = val\n",
        "    val += 1\n",
        "# station_mapping\n",
        "\n",
        "pollutant_id_mapping = {}\n",
        "val = 1\n",
        "for pollutant_id in data1['pollutant_id'].unique():\n",
        "    # print(pollutant_id)\n",
        "    pollutant_id_mapping[f'{pollutant_id}'] = val\n",
        "    val += 1\n",
        "# pollutant_id_mapping\n",
        "\n",
        "data1['station_code'] = data1['station_code'].str.strip()\n",
        "station_code_mapping = {}\n",
        "val = 1\n",
        "for station_code in data1['station_code'].unique():\n",
        "    # print(station_code)\n",
        "    station_code_mapping[f'{station_code}'] = val\n",
        "    val += 1\n",
        "station_code_mapping"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PMr_KAZ8U3Me",
        "outputId": "7c4a025f-5102-40d0-9c71-7a6e786f4ccb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'APPCB': 1,\n",
              " 'PCBA': 2,\n",
              " 'BSPCB': 3,\n",
              " 'CPCC': 4,\n",
              " 'CECB': 5,\n",
              " 'NTPC': 6,\n",
              " 'DPCC': 7,\n",
              " 'IMD': 8,\n",
              " 'CPCB': 9,\n",
              " 'IITM': 10,\n",
              " 'GPCB': 11,\n",
              " 'SMC': 12,\n",
              " 'HSPCB': 13,\n",
              " 'HPPCB': 14,\n",
              " 'DMC': 15,\n",
              " 'JSPCB': 16,\n",
              " 'KSPCB': 17,\n",
              " 'Kerala PCB': 18,\n",
              " 'MPPCB': 19,\n",
              " 'Mondelez Ind. Food': 20,\n",
              " 'IMC': 21,\n",
              " 'JMC': 22,\n",
              " 'KJS Cements': 23,\n",
              " 'IPCA Lab': 24,\n",
              " 'MPCB': 25,\n",
              " 'BMC': 26,\n",
              " 'Manipur PCB': 27,\n",
              " 'Meghalaya PCB': 28,\n",
              " 'NPCB': 29,\n",
              " 'OSPCB': 30,\n",
              " 'PPCB': 31,\n",
              " 'Ambuja Cements': 32,\n",
              " 'RSPCB': 33,\n",
              " 'TNPCB': 34,\n",
              " 'TSPCB': 35,\n",
              " 'Tripura SPCB': 36,\n",
              " 'UPPCB': 37,\n",
              " 'UKPCB': 38,\n",
              " 'WBPCB': 39,\n",
              " 'APSPCB': 40,\n",
              " 'MHUA': 41,\n",
              " 'JKSPCB': 42,\n",
              " 'Birla Cement': 43,\n",
              " 'PPCC': 44,\n",
              " 'SSPCB': 45,\n",
              " 'Bhilai Steel Plant': 46,\n",
              " 'Mizoram PCB': 47}"
            ]
          },
          "metadata": {},
          "execution_count": 95
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data1['state'].replace(state_mapping, inplace=True)\n",
        "\n",
        "data1['city'].replace(city_mapping, inplace=True)\n",
        "\n",
        "data1['station'].replace(station_mapping, inplace=True)\n",
        "\n",
        "data1['pollutant_id'].replace(pollutant_id_mapping, inplace=True)\n",
        "\n",
        "data1['station_code'].replace(station_code_mapping, inplace=True)"
      ],
      "metadata": {
        "id": "8wR1SbjFbTL1"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data1"
      ],
      "metadata": {
        "id": "5rCtv6UAbeas",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 635
        },
        "outputId": "fc5e3ed8-6dc9-42d8-8463-19450db145d8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        id country  state  city  station  station_code       last_update  \\\n",
              "0        0   India      1     1        1             1  26-12-2023 22:00   \n",
              "1        1   India      1     2        2             1  26-12-2023 22:00   \n",
              "2        2   India      1     3        3             1  26-12-2023 22:00   \n",
              "3        3   India      1     3        3             1  26-12-2023 22:00   \n",
              "4        4   India      1     3        3             1  26-12-2023 22:00   \n",
              "...    ...     ...    ...   ...      ...           ...               ...   \n",
              "3311  3311   India     26   204      344            39  26-12-2023 22:00   \n",
              "3312  3312   India     26   204      459            39  26-12-2023 22:00   \n",
              "3313  3313   India     26   204      459            39  26-12-2023 22:00   \n",
              "3314  3314   India     26   204      459            39  26-12-2023 22:00   \n",
              "3315  3315   India     26   205      346            39  26-12-2023 22:00   \n",
              "\n",
              "       latitude  longitude  pollutant_id  pollutant_min  pollutant_max  \\\n",
              "0     14.675886  77.593027             1              0              0   \n",
              "1     13.204880  79.097889             1              7             32   \n",
              "2     13.670000  79.350000             2              2              5   \n",
              "3     13.670000  79.350000             3             40             64   \n",
              "4     13.670000  79.350000             4              9             50   \n",
              "...         ...        ...           ...            ...            ...   \n",
              "3311  22.499290  88.369170             5             80            202   \n",
              "3312  22.511060  88.351420             2              2             21   \n",
              "3313  22.511060  88.351420             1              7             63   \n",
              "3314  22.511060  88.351420             4              3             90   \n",
              "3315  26.687923  88.415250             2              6             22   \n",
              "\n",
              "      pollutant_avg Air Temperature  \n",
              "0                 0             Hot  \n",
              "1                12        Moderate  \n",
              "2                 3            Cold  \n",
              "3                47             Hot  \n",
              "4                34        Moderate  \n",
              "...             ...             ...  \n",
              "3311            125            Cold  \n",
              "3312              8             Hot  \n",
              "3313             23        Moderate  \n",
              "3314             45            Cold  \n",
              "3315             14             Hot  \n",
              "\n",
              "[3316 rows x 14 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-a0ff2d07-d393-4398-ba07-e044408bedc5\" 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>id</th>\n",
              "      <th>country</th>\n",
              "      <th>state</th>\n",
              "      <th>city</th>\n",
              "      <th>station</th>\n",
              "      <th>station_code</th>\n",
              "      <th>last_update</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>pollutant_id</th>\n",
              "      <th>pollutant_min</th>\n",
              "      <th>pollutant_max</th>\n",
              "      <th>pollutant_avg</th>\n",
              "      <th>Air Temperature</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>India</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>14.675886</td>\n",
              "      <td>77.593027</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Hot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>India</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.204880</td>\n",
              "      <td>79.097889</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>32</td>\n",
              "      <td>12</td>\n",
              "      <td>Moderate</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>India</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>Cold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>India</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>3</td>\n",
              "      <td>40</td>\n",
              "      <td>64</td>\n",
              "      <td>47</td>\n",
              "      <td>Hot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>India</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>4</td>\n",
              "      <td>9</td>\n",
              "      <td>50</td>\n",
              "      <td>34</td>\n",
              "      <td>Moderate</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3311</th>\n",
              "      <td>3311</td>\n",
              "      <td>India</td>\n",
              "      <td>26</td>\n",
              "      <td>204</td>\n",
              "      <td>344</td>\n",
              "      <td>39</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>22.499290</td>\n",
              "      <td>88.369170</td>\n",
              "      <td>5</td>\n",
              "      <td>80</td>\n",
              "      <td>202</td>\n",
              "      <td>125</td>\n",
              "      <td>Cold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3312</th>\n",
              "      <td>3312</td>\n",
              "      <td>India</td>\n",
              "      <td>26</td>\n",
              "      <td>204</td>\n",
              "      <td>459</td>\n",
              "      <td>39</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>22.511060</td>\n",
              "      <td>88.351420</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>21</td>\n",
              "      <td>8</td>\n",
              "      <td>Hot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3313</th>\n",
              "      <td>3313</td>\n",
              "      <td>India</td>\n",
              "      <td>26</td>\n",
              "      <td>204</td>\n",
              "      <td>459</td>\n",
              "      <td>39</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>22.511060</td>\n",
              "      <td>88.351420</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>63</td>\n",
              "      <td>23</td>\n",
              "      <td>Moderate</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3314</th>\n",
              "      <td>3314</td>\n",
              "      <td>India</td>\n",
              "      <td>26</td>\n",
              "      <td>204</td>\n",
              "      <td>459</td>\n",
              "      <td>39</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>22.511060</td>\n",
              "      <td>88.351420</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>90</td>\n",
              "      <td>45</td>\n",
              "      <td>Cold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3315</th>\n",
              "      <td>3315</td>\n",
              "      <td>India</td>\n",
              "      <td>26</td>\n",
              "      <td>205</td>\n",
              "      <td>346</td>\n",
              "      <td>39</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>26.687923</td>\n",
              "      <td>88.415250</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>22</td>\n",
              "      <td>14</td>\n",
              "      <td>Hot</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3316 rows × 14 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a0ff2d07-d393-4398-ba07-e044408bedc5')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-a0ff2d07-d393-4398-ba07-e044408bedc5 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-a0ff2d07-d393-4398-ba07-e044408bedc5');\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",
              "\n",
              "\n",
              "<div id=\"df-e54ffdc9-569f-4493-b691-7b6636648a16\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e54ffdc9-569f-4493-b691-7b6636648a16')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-e54ffdc9-569f-4493-b691-7b6636648a16 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 97
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Dropping the country column as it has same data for every row.\n",
        "# Dropping the id column as it is redundant\n",
        "\n",
        "data1.drop(columns=['country', 'id'], inplace=True)"
      ],
      "metadata": {
        "id": "Z2sGgnW6sdyA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "dCkPF7XcrBND",
        "outputId": "c8c52730-30e1-4249-ef03-0ae58fd8b656"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      state  city  station  station_code       last_update   latitude  \\\n",
              "0         1     1        1             1  26-12-2023 22:00  14.675886   \n",
              "1         1     2        2             1  26-12-2023 22:00  13.204880   \n",
              "2         1     3        3             1  26-12-2023 22:00  13.670000   \n",
              "3         1     3        3             1  26-12-2023 22:00  13.670000   \n",
              "4         1     3        3             1  26-12-2023 22:00  13.670000   \n",
              "...     ...   ...      ...           ...               ...        ...   \n",
              "3311     26   204      344            39  26-12-2023 22:00  22.499290   \n",
              "3312     26   204      459            39  26-12-2023 22:00  22.511060   \n",
              "3313     26   204      459            39  26-12-2023 22:00  22.511060   \n",
              "3314     26   204      459            39  26-12-2023 22:00  22.511060   \n",
              "3315     26   205      346            39  26-12-2023 22:00  26.687923   \n",
              "\n",
              "      longitude  pollutant_id  pollutant_min  pollutant_max  pollutant_avg  \\\n",
              "0     77.593027             1              0              0              0   \n",
              "1     79.097889             1              7             32             12   \n",
              "2     79.350000             2              2              5              3   \n",
              "3     79.350000             3             40             64             47   \n",
              "4     79.350000             4              9             50             34   \n",
              "...         ...           ...            ...            ...            ...   \n",
              "3311  88.369170             5             80            202            125   \n",
              "3312  88.351420             2              2             21              8   \n",
              "3313  88.351420             1              7             63             23   \n",
              "3314  88.351420             4              3             90             45   \n",
              "3315  88.415250             2              6             22             14   \n",
              "\n",
              "     Air Temperature  \n",
              "0                Hot  \n",
              "1           Moderate  \n",
              "2               Cold  \n",
              "3                Hot  \n",
              "4           Moderate  \n",
              "...              ...  \n",
              "3311            Cold  \n",
              "3312             Hot  \n",
              "3313        Moderate  \n",
              "3314            Cold  \n",
              "3315             Hot  \n",
              "\n",
              "[3316 rows x 12 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-12dd6b0b-a7fe-44f8-9e0d-69c07bccb58e\" 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>state</th>\n",
              "      <th>city</th>\n",
              "      <th>station</th>\n",
              "      <th>station_code</th>\n",
              "      <th>last_update</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>pollutant_id</th>\n",
              "      <th>pollutant_min</th>\n",
              "      <th>pollutant_max</th>\n",
              "      <th>pollutant_avg</th>\n",
              "      <th>Air Temperature</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>14.675886</td>\n",
              "      <td>77.593027</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Hot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.204880</td>\n",
              "      <td>79.097889</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>32</td>\n",
              "      <td>12</td>\n",
              "      <td>Moderate</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>Cold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>3</td>\n",
              "      <td>40</td>\n",
              "      <td>64</td>\n",
              "      <td>47</td>\n",
              "      <td>Hot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>4</td>\n",
              "      <td>9</td>\n",
              "      <td>50</td>\n",
              "      <td>34</td>\n",
              "      <td>Moderate</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3311</th>\n",
              "      <td>26</td>\n",
              "      <td>204</td>\n",
              "      <td>344</td>\n",
              "      <td>39</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>22.499290</td>\n",
              "      <td>88.369170</td>\n",
              "      <td>5</td>\n",
              "      <td>80</td>\n",
              "      <td>202</td>\n",
              "      <td>125</td>\n",
              "      <td>Cold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3312</th>\n",
              "      <td>26</td>\n",
              "      <td>204</td>\n",
              "      <td>459</td>\n",
              "      <td>39</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>22.511060</td>\n",
              "      <td>88.351420</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>21</td>\n",
              "      <td>8</td>\n",
              "      <td>Hot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3313</th>\n",
              "      <td>26</td>\n",
              "      <td>204</td>\n",
              "      <td>459</td>\n",
              "      <td>39</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>22.511060</td>\n",
              "      <td>88.351420</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>63</td>\n",
              "      <td>23</td>\n",
              "      <td>Moderate</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3314</th>\n",
              "      <td>26</td>\n",
              "      <td>204</td>\n",
              "      <td>459</td>\n",
              "      <td>39</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>22.511060</td>\n",
              "      <td>88.351420</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>90</td>\n",
              "      <td>45</td>\n",
              "      <td>Cold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3315</th>\n",
              "      <td>26</td>\n",
              "      <td>205</td>\n",
              "      <td>346</td>\n",
              "      <td>39</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>26.687923</td>\n",
              "      <td>88.415250</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>22</td>\n",
              "      <td>14</td>\n",
              "      <td>Hot</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3316 rows × 12 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-12dd6b0b-a7fe-44f8-9e0d-69c07bccb58e')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-12dd6b0b-a7fe-44f8-9e0d-69c07bccb58e 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-12dd6b0b-a7fe-44f8-9e0d-69c07bccb58e');\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",
              "\n",
              "\n",
              "<div id=\"df-06788a9b-6cd2-4516-afe0-1d2f9607b44d\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-06788a9b-6cd2-4516-afe0-1d2f9607b44d')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-06788a9b-6cd2-4516-afe0-1d2f9607b44d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **One Hot Encoding**"
      ],
      "metadata": {
        "id": "YuRjxdz3ZjOD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "encoded_columns = pd.get_dummies(data1['Air Temperature'])\n",
        "\n",
        "data2 = data1.join(encoded_columns).drop('Air Temperature', axis=1)"
      ],
      "metadata": {
        "id": "7PLB6ymcZs37"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data2.head()"
      ],
      "metadata": {
        "id": "vtCqxfiYe9Cx",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "14889a2a-06a5-4744-a9c8-557530d8d2f5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   state  city  station  station_code       last_update   latitude  longitude  \\\n",
              "0      1     1        1             1  26-12-2023 22:00  14.675886  77.593027   \n",
              "1      1     2        2             1  26-12-2023 22:00  13.204880  79.097889   \n",
              "2      1     3        3             1  26-12-2023 22:00  13.670000  79.350000   \n",
              "3      1     3        3             1  26-12-2023 22:00  13.670000  79.350000   \n",
              "4      1     3        3             1  26-12-2023 22:00  13.670000  79.350000   \n",
              "\n",
              "   pollutant_id  pollutant_min  pollutant_max  pollutant_avg  Cold  Hot  \\\n",
              "0             1              0              0              0     0    1   \n",
              "1             1              7             32             12     0    0   \n",
              "2             2              2              5              3     1    0   \n",
              "3             3             40             64             47     0    1   \n",
              "4             4              9             50             34     0    0   \n",
              "\n",
              "   Moderate  \n",
              "0         0  \n",
              "1         1  \n",
              "2         0  \n",
              "3         0  \n",
              "4         1  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-5b4477d1-971e-48e3-a3f6-0f9c8cf7a570\" 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>state</th>\n",
              "      <th>city</th>\n",
              "      <th>station</th>\n",
              "      <th>station_code</th>\n",
              "      <th>last_update</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>pollutant_id</th>\n",
              "      <th>pollutant_min</th>\n",
              "      <th>pollutant_max</th>\n",
              "      <th>pollutant_avg</th>\n",
              "      <th>Cold</th>\n",
              "      <th>Hot</th>\n",
              "      <th>Moderate</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>14.675886</td>\n",
              "      <td>77.593027</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.204880</td>\n",
              "      <td>79.097889</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>32</td>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>3</td>\n",
              "      <td>40</td>\n",
              "      <td>64</td>\n",
              "      <td>47</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>4</td>\n",
              "      <td>9</td>\n",
              "      <td>50</td>\n",
              "      <td>34</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5b4477d1-971e-48e3-a3f6-0f9c8cf7a570')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-5b4477d1-971e-48e3-a3f6-0f9c8cf7a570 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-5b4477d1-971e-48e3-a3f6-0f9c8cf7a570');\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",
              "\n",
              "\n",
              "<div id=\"df-2b4bd751-0cfd-4117-a2b1-15528388f2c6\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2b4bd751-0cfd-4117-a2b1-15528388f2c6')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-2b4bd751-0cfd-4117-a2b1-15528388f2c6 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 101
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Drop the column Moderate that can be inferred based on the other two columns Cold and Hot\n",
        "\n",
        "data2.drop(columns=['Moderate'], inplace=True)\n",
        "\n",
        "data2.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "ANJquaG3fCJP",
        "outputId": "42a71f00-d2a5-42c5-9082-536bd9a99e3b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   state  city  station  station_code       last_update   latitude  longitude  \\\n",
              "0      1     1        1             1  26-12-2023 22:00  14.675886  77.593027   \n",
              "1      1     2        2             1  26-12-2023 22:00  13.204880  79.097889   \n",
              "2      1     3        3             1  26-12-2023 22:00  13.670000  79.350000   \n",
              "3      1     3        3             1  26-12-2023 22:00  13.670000  79.350000   \n",
              "4      1     3        3             1  26-12-2023 22:00  13.670000  79.350000   \n",
              "\n",
              "   pollutant_id  pollutant_min  pollutant_max  pollutant_avg  Cold  Hot  \n",
              "0             1              0              0              0     0    1  \n",
              "1             1              7             32             12     0    0  \n",
              "2             2              2              5              3     1    0  \n",
              "3             3             40             64             47     0    1  \n",
              "4             4              9             50             34     0    0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-bb0492aa-6b42-459e-8030-51427247da09\" 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>state</th>\n",
              "      <th>city</th>\n",
              "      <th>station</th>\n",
              "      <th>station_code</th>\n",
              "      <th>last_update</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>pollutant_id</th>\n",
              "      <th>pollutant_min</th>\n",
              "      <th>pollutant_max</th>\n",
              "      <th>pollutant_avg</th>\n",
              "      <th>Cold</th>\n",
              "      <th>Hot</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>14.675886</td>\n",
              "      <td>77.593027</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.204880</td>\n",
              "      <td>79.097889</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>32</td>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>3</td>\n",
              "      <td>40</td>\n",
              "      <td>64</td>\n",
              "      <td>47</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>4</td>\n",
              "      <td>9</td>\n",
              "      <td>50</td>\n",
              "      <td>34</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-bb0492aa-6b42-459e-8030-51427247da09')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-bb0492aa-6b42-459e-8030-51427247da09 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-bb0492aa-6b42-459e-8030-51427247da09');\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",
              "\n",
              "\n",
              "<div id=\"df-f8877d47-7d81-4493-b8e7-be8d3f56aa62\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f8877d47-7d81-4493-b8e7-be8d3f56aa62')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-f8877d47-7d81-4493-b8e7-be8d3f56aa62 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 102
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Handling Outliers**"
      ],
      "metadata": {
        "id": "-I_V3zgvfZco"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data3 = data2.copy()\n",
        "data3['pollutant_max_min_avg'] = (data['pollutant_max'] + data['pollutant_min']) / 2\n",
        "numeric_cols = ['pollutant_min', 'pollutant_max', 'pollutant_avg', 'pollutant_max_min_avg']\n",
        "for col in numeric_cols:\n",
        "  plt.figure(figsize = (5, 5))\n",
        "  data3.boxplot(column=col)"
      ],
      "metadata": {
        "id": "e9yLZcH_fdPQ",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "0b223401-e596-4b27-be8f-fa9baa795f7e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data3.shape"
      ],
      "metadata": {
        "id": "-wwD7GLRiasm",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "88c0b0b9-e61b-4292-a934-2ab10be98e4b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3316, 14)"
            ]
          },
          "metadata": {},
          "execution_count": 104
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "upper_lim = data3['pollutant_max_min_avg'].quantile(.815)\n",
        "# lower_lim = data3['pollutant_max_min_avg'].quantile(.000001)\n",
        "# data3 = data3[(data3['pollutant_max_min_avg'] < upper_lim) & (data3['pollutant_max_min_avg'] > lower_lim)]\n",
        "data3 = data3[(data3['pollutant_max_min_avg'] < upper_lim)]"
      ],
      "metadata": {
        "id": "HPr6KqRtiQO_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data3.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GqbMcp9miYRF",
        "outputId": "3e53d500-6ebc-431e-dd4f-8afa29148b08"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2701, 14)"
            ]
          },
          "metadata": {},
          "execution_count": 106
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (5, 5))\n",
        "data3.boxplot(column='pollutant_max_min_avg')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 462
        },
        "id": "ti-6cDSmj0X9",
        "outputId": "1fd563ec-0a57-4cc8-dfba-71412bef2f7a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 107
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data3['pollutant_max_min_avg'].describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Hr9xPf8ND4-D",
        "outputId": "ff524f27-8e41-4535-f64e-ce06b9cfa143"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "count    2701.000000\n",
              "mean       38.064235\n",
              "std        34.491972\n",
              "min         0.000000\n",
              "25%         8.500000\n",
              "50%        27.500000\n",
              "75%        61.500000\n",
              "max       140.500000\n",
              "Name: pollutant_max_min_avg, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 108
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data4 = data3.copy()"
      ],
      "metadata": {
        "id": "rg41Q74HEEZd"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Binning**"
      ],
      "metadata": {
        "id": "uYQJk-_OEGzp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "labels = ['Low', 'Moderate', 'High', 'Severe']\n",
        "data4['pollutant_max_min_bin'] = pd.qcut(data4['pollutant_max_min_avg'], q = 4, labels = labels)"
      ],
      "metadata": {
        "id": "ZBWBbHf4ENnw"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data4.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "id": "uLZ95Wa7Er2S",
        "outputId": "600dbfb5-58b7-4597-c2cb-52216ebc746f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   state  city  station  station_code       last_update   latitude  longitude  \\\n",
              "0      1     1        1             1  26-12-2023 22:00  14.675886  77.593027   \n",
              "1      1     2        2             1  26-12-2023 22:00  13.204880  79.097889   \n",
              "2      1     3        3             1  26-12-2023 22:00  13.670000  79.350000   \n",
              "3      1     3        3             1  26-12-2023 22:00  13.670000  79.350000   \n",
              "4      1     3        3             1  26-12-2023 22:00  13.670000  79.350000   \n",
              "\n",
              "   pollutant_id  pollutant_min  pollutant_max  pollutant_avg  Cold  Hot  \\\n",
              "0             1              0              0              0     0    1   \n",
              "1             1              7             32             12     0    0   \n",
              "2             2              2              5              3     1    0   \n",
              "3             3             40             64             47     0    1   \n",
              "4             4              9             50             34     0    0   \n",
              "\n",
              "   pollutant_max_min_avg pollutant_max_min_bin  \n",
              "0                    0.0                   Low  \n",
              "1                   19.5              Moderate  \n",
              "2                    3.5                   Low  \n",
              "3                   52.0                  High  \n",
              "4                   29.5                  High  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-02b265fd-cc2e-421a-9524-951d1d6568f9\" 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>state</th>\n",
              "      <th>city</th>\n",
              "      <th>station</th>\n",
              "      <th>station_code</th>\n",
              "      <th>last_update</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>pollutant_id</th>\n",
              "      <th>pollutant_min</th>\n",
              "      <th>pollutant_max</th>\n",
              "      <th>pollutant_avg</th>\n",
              "      <th>Cold</th>\n",
              "      <th>Hot</th>\n",
              "      <th>pollutant_max_min_avg</th>\n",
              "      <th>pollutant_max_min_bin</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>14.675886</td>\n",
              "      <td>77.593027</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Low</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.204880</td>\n",
              "      <td>79.097889</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>32</td>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>19.5</td>\n",
              "      <td>Moderate</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3.5</td>\n",
              "      <td>Low</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>3</td>\n",
              "      <td>40</td>\n",
              "      <td>64</td>\n",
              "      <td>47</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>52.0</td>\n",
              "      <td>High</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>4</td>\n",
              "      <td>9</td>\n",
              "      <td>50</td>\n",
              "      <td>34</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>29.5</td>\n",
              "      <td>High</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-02b265fd-cc2e-421a-9524-951d1d6568f9')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-02b265fd-cc2e-421a-9524-951d1d6568f9 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-02b265fd-cc2e-421a-9524-951d1d6568f9');\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",
              "\n",
              "\n",
              "<div id=\"df-c925ef82-d291-4191-b7c9-6b1d389646ae\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c925ef82-d291-4191-b7c9-6b1d389646ae')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-c925ef82-d291-4191-b7c9-6b1d389646ae button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 111
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data4['pollutant_max_min_bin'].unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EQd3s7ARFQel",
        "outputId": "a02a2cb6-a8ae-487e-a7df-4c35851e44b0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Low', 'Moderate', 'High', 'Severe']\n",
              "Categories (4, object): ['Low' < 'Moderate' < 'High' < 'Severe']"
            ]
          },
          "metadata": {},
          "execution_count": 112
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data4['pollutant_max_min_bin'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WDmYKZgKFXkt",
        "outputId": "db82ea9a-9406-4029-eda6-0b79e17e3e9d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Low         693\n",
              "High        679\n",
              "Severe      669\n",
              "Moderate    660\n",
              "Name: pollutant_max_min_bin, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 113
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Imputation**"
      ],
      "metadata": {
        "id": "93R4xfTLQVi7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data5 = data4.copy()"
      ],
      "metadata": {
        "id": "Ry-2TWGOQaSN"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data5['imputation'] = np.random.randint(1, 1000, data5.shape[0])"
      ],
      "metadata": {
        "id": "7M4EvsEEQf3L"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data5.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "id": "T8Xip4_kQq7Q",
        "outputId": "f9031c58-809a-440a-c922-a785e4278bf2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   state  city  station  station_code       last_update   latitude  longitude  \\\n",
              "0      1     1        1             1  26-12-2023 22:00  14.675886  77.593027   \n",
              "1      1     2        2             1  26-12-2023 22:00  13.204880  79.097889   \n",
              "2      1     3        3             1  26-12-2023 22:00  13.670000  79.350000   \n",
              "3      1     3        3             1  26-12-2023 22:00  13.670000  79.350000   \n",
              "4      1     3        3             1  26-12-2023 22:00  13.670000  79.350000   \n",
              "\n",
              "   pollutant_id  pollutant_min  pollutant_max  pollutant_avg  Cold  Hot  \\\n",
              "0             1              0              0              0     0    1   \n",
              "1             1              7             32             12     0    0   \n",
              "2             2              2              5              3     1    0   \n",
              "3             3             40             64             47     0    1   \n",
              "4             4              9             50             34     0    0   \n",
              "\n",
              "   pollutant_max_min_avg pollutant_max_min_bin  imputation  \n",
              "0                    0.0                   Low         888  \n",
              "1                   19.5              Moderate         943  \n",
              "2                    3.5                   Low          26  \n",
              "3                   52.0                  High         543  \n",
              "4                   29.5                  High         709  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-b9c51e79-e560-4a4e-b1b3-2cbfe9d21bf3\" 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>state</th>\n",
              "      <th>city</th>\n",
              "      <th>station</th>\n",
              "      <th>station_code</th>\n",
              "      <th>last_update</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>pollutant_id</th>\n",
              "      <th>pollutant_min</th>\n",
              "      <th>pollutant_max</th>\n",
              "      <th>pollutant_avg</th>\n",
              "      <th>Cold</th>\n",
              "      <th>Hot</th>\n",
              "      <th>pollutant_max_min_avg</th>\n",
              "      <th>pollutant_max_min_bin</th>\n",
              "      <th>imputation</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>14.675886</td>\n",
              "      <td>77.593027</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Low</td>\n",
              "      <td>888</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.204880</td>\n",
              "      <td>79.097889</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>32</td>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>19.5</td>\n",
              "      <td>Moderate</td>\n",
              "      <td>943</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3.5</td>\n",
              "      <td>Low</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>3</td>\n",
              "      <td>40</td>\n",
              "      <td>64</td>\n",
              "      <td>47</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>52.0</td>\n",
              "      <td>High</td>\n",
              "      <td>543</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>4</td>\n",
              "      <td>9</td>\n",
              "      <td>50</td>\n",
              "      <td>34</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>29.5</td>\n",
              "      <td>High</td>\n",
              "      <td>709</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b9c51e79-e560-4a4e-b1b3-2cbfe9d21bf3')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-b9c51e79-e560-4a4e-b1b3-2cbfe9d21bf3 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-b9c51e79-e560-4a4e-b1b3-2cbfe9d21bf3');\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",
              "\n",
              "\n",
              "<div id=\"df-7e23451d-c971-4d3d-a284-4c49eb4b8ee9\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7e23451d-c971-4d3d-a284-4c49eb4b8ee9')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-7e23451d-c971-4d3d-a284-4c49eb4b8ee9 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 136
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "RANGE = np.arange(20, 80, 1)"
      ],
      "metadata": {
        "id": "JWNn6z6pQ3je"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data5['imputation'].replace(RANGE, np.nan, inplace = True)"
      ],
      "metadata": {
        "id": "otPJ_onVRCPh"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data5.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "id": "VixabMKvRNQ_",
        "outputId": "98b368cb-10e0-4f88-8506-ff8c69cda081"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   state  city  station  station_code       last_update   latitude  longitude  \\\n",
              "0      1     1        1             1  26-12-2023 22:00  14.675886  77.593027   \n",
              "1      1     2        2             1  26-12-2023 22:00  13.204880  79.097889   \n",
              "2      1     3        3             1  26-12-2023 22:00  13.670000  79.350000   \n",
              "3      1     3        3             1  26-12-2023 22:00  13.670000  79.350000   \n",
              "4      1     3        3             1  26-12-2023 22:00  13.670000  79.350000   \n",
              "\n",
              "   pollutant_id  pollutant_min  pollutant_max  pollutant_avg  Cold  Hot  \\\n",
              "0             1              0              0              0     0    1   \n",
              "1             1              7             32             12     0    0   \n",
              "2             2              2              5              3     1    0   \n",
              "3             3             40             64             47     0    1   \n",
              "4             4              9             50             34     0    0   \n",
              "\n",
              "   pollutant_max_min_avg pollutant_max_min_bin  imputation  \n",
              "0                    0.0                   Low       888.0  \n",
              "1                   19.5              Moderate       943.0  \n",
              "2                    3.5                   Low         NaN  \n",
              "3                   52.0                  High       543.0  \n",
              "4                   29.5                  High       709.0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-832a69e9-d096-4504-8cef-124c344ea4c6\" 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>state</th>\n",
              "      <th>city</th>\n",
              "      <th>station</th>\n",
              "      <th>station_code</th>\n",
              "      <th>last_update</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>pollutant_id</th>\n",
              "      <th>pollutant_min</th>\n",
              "      <th>pollutant_max</th>\n",
              "      <th>pollutant_avg</th>\n",
              "      <th>Cold</th>\n",
              "      <th>Hot</th>\n",
              "      <th>pollutant_max_min_avg</th>\n",
              "      <th>pollutant_max_min_bin</th>\n",
              "      <th>imputation</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>14.675886</td>\n",
              "      <td>77.593027</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Low</td>\n",
              "      <td>888.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.204880</td>\n",
              "      <td>79.097889</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>32</td>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>19.5</td>\n",
              "      <td>Moderate</td>\n",
              "      <td>943.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3.5</td>\n",
              "      <td>Low</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>3</td>\n",
              "      <td>40</td>\n",
              "      <td>64</td>\n",
              "      <td>47</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>52.0</td>\n",
              "      <td>High</td>\n",
              "      <td>543.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>4</td>\n",
              "      <td>9</td>\n",
              "      <td>50</td>\n",
              "      <td>34</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>29.5</td>\n",
              "      <td>High</td>\n",
              "      <td>709.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-832a69e9-d096-4504-8cef-124c344ea4c6')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-832a69e9-d096-4504-8cef-124c344ea4c6 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-832a69e9-d096-4504-8cef-124c344ea4c6');\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",
              "\n",
              "\n",
              "<div id=\"df-2615703c-acfa-4d87-8491-3dc792514487\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2615703c-acfa-4d87-8491-3dc792514487')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-2615703c-acfa-4d87-8491-3dc792514487 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 139
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data5['imputation'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1mEvEi5jRa0D",
        "outputId": "0dbe599c-0b9f-421f-e5bb-ea6bd5056991"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "676.0    10\n",
              "342.0     9\n",
              "864.0     8\n",
              "411.0     8\n",
              "653.0     7\n",
              "         ..\n",
              "299.0     1\n",
              "813.0     1\n",
              "769.0     1\n",
              "759.0     1\n",
              "657.0     1\n",
              "Name: imputation, Length: 887, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 140
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data5.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jlFAm99eRnCR",
        "outputId": "4100ebc5-e516-4137-98e8-a8d1fcb9d625"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "state                      0\n",
              "city                       0\n",
              "station                    0\n",
              "station_code               0\n",
              "last_update                0\n",
              "latitude                   0\n",
              "longitude                  0\n",
              "pollutant_id               0\n",
              "pollutant_min              0\n",
              "pollutant_max              0\n",
              "pollutant_avg              0\n",
              "Cold                       0\n",
              "Hot                        0\n",
              "pollutant_max_min_avg      0\n",
              "pollutant_max_min_bin      0\n",
              "imputation               179\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 141
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data5['imputation'] = data5['imputation'].fillna(data5['imputation'].median())"
      ],
      "metadata": {
        "id": "4-j4yZd1RzRP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data5.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "id": "VwTdR1D5SGuJ",
        "outputId": "e79dac74-a6af-40d6-9fa1-9bbae485303e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   state  city  station  station_code       last_update   latitude  longitude  \\\n",
              "0      1     1        1             1  26-12-2023 22:00  14.675886  77.593027   \n",
              "1      1     2        2             1  26-12-2023 22:00  13.204880  79.097889   \n",
              "2      1     3        3             1  26-12-2023 22:00  13.670000  79.350000   \n",
              "3      1     3        3             1  26-12-2023 22:00  13.670000  79.350000   \n",
              "4      1     3        3             1  26-12-2023 22:00  13.670000  79.350000   \n",
              "\n",
              "   pollutant_id  pollutant_min  pollutant_max  pollutant_avg  Cold  Hot  \\\n",
              "0             1              0              0              0     0    1   \n",
              "1             1              7             32             12     0    0   \n",
              "2             2              2              5              3     1    0   \n",
              "3             3             40             64             47     0    1   \n",
              "4             4              9             50             34     0    0   \n",
              "\n",
              "   pollutant_max_min_avg pollutant_max_min_bin  imputation  \n",
              "0                    0.0                   Low       888.0  \n",
              "1                   19.5              Moderate       943.0  \n",
              "2                    3.5                   Low       530.0  \n",
              "3                   52.0                  High       543.0  \n",
              "4                   29.5                  High       709.0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-017c497f-74d5-4aea-8fc4-c6c3106ae97e\" 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>state</th>\n",
              "      <th>city</th>\n",
              "      <th>station</th>\n",
              "      <th>station_code</th>\n",
              "      <th>last_update</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>pollutant_id</th>\n",
              "      <th>pollutant_min</th>\n",
              "      <th>pollutant_max</th>\n",
              "      <th>pollutant_avg</th>\n",
              "      <th>Cold</th>\n",
              "      <th>Hot</th>\n",
              "      <th>pollutant_max_min_avg</th>\n",
              "      <th>pollutant_max_min_bin</th>\n",
              "      <th>imputation</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>14.675886</td>\n",
              "      <td>77.593027</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Low</td>\n",
              "      <td>888.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.204880</td>\n",
              "      <td>79.097889</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>32</td>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>19.5</td>\n",
              "      <td>Moderate</td>\n",
              "      <td>943.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3.5</td>\n",
              "      <td>Low</td>\n",
              "      <td>530.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>3</td>\n",
              "      <td>40</td>\n",
              "      <td>64</td>\n",
              "      <td>47</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>52.0</td>\n",
              "      <td>High</td>\n",
              "      <td>543.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>26-12-2023 22:00</td>\n",
              "      <td>13.670000</td>\n",
              "      <td>79.350000</td>\n",
              "      <td>4</td>\n",
              "      <td>9</td>\n",
              "      <td>50</td>\n",
              "      <td>34</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>29.5</td>\n",
              "      <td>High</td>\n",
              "      <td>709.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-017c497f-74d5-4aea-8fc4-c6c3106ae97e')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-017c497f-74d5-4aea-8fc4-c6c3106ae97e 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-017c497f-74d5-4aea-8fc4-c6c3106ae97e');\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",
              "\n",
              "\n",
              "<div id=\"df-121acd53-18f2-4063-a442-7822c458da4f\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-121acd53-18f2-4063-a442-7822c458da4f')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-121acd53-18f2-4063-a442-7822c458da4f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 143
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Normalization**"
      ],
      "metadata": {
        "id": "wp9a_IGfSN5a"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data6 = data5.copy()"
      ],
      "metadata": {
        "id": "nh0utg4CSLl-"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data6['imputation'][:7]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dsfb4CvLScno",
        "outputId": "21f8ce1b-d502-4fc5-b184-0eff11a090e8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    888.0\n",
              "1    943.0\n",
              "2    530.0\n",
              "3    543.0\n",
              "4    709.0\n",
              "5    444.0\n",
              "6    880.0\n",
              "Name: imputation, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 145
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data6['normalized'] = (data6['imputation'] - data6['imputation'].min()) / (data6['imputation'].max() - data6['imputation'].min())"
      ],
      "metadata": {
        "id": "lwv5bUMbSlAF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data6['normalized'][:7]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3Pp7fcq9S4KE",
        "outputId": "5b4caf3e-9156-48ab-b4ca-695eff8b9a7a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    0.888778\n",
              "1    0.943888\n",
              "2    0.530060\n",
              "3    0.543086\n",
              "4    0.709419\n",
              "5    0.443888\n",
              "6    0.880762\n",
              "Name: normalized, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 147
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Standardization**"
      ],
      "metadata": {
        "id": "lkuL-fZFT7-Z"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data7 = data5.copy()"
      ],
      "metadata": {
        "id": "CbDZLxshT6bt"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data7['imputation'][:7]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "suv4o7RfUEO7",
        "outputId": "2f8132d6-4d88-414b-bdbb-3f4135575080"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    888.0\n",
              "1    943.0\n",
              "2    530.0\n",
              "3    543.0\n",
              "4    709.0\n",
              "5    444.0\n",
              "6    880.0\n",
              "Name: imputation, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 149
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data7['standardized'] = (data7['imputation'] - data7['imputation'].mean()) / data7['imputation'].std()"
      ],
      "metadata": {
        "id": "Cs_cxltSUKpg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data7['standardized'][:7]"
      ],
      "metadata": {
        "id": "qhS1RcETUY4W",
        "outputId": "c2cc082c-2c8e-4c2e-bfaa-9be00d231c86",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    1.381805\n",
              "1    1.594393\n",
              "2   -0.001943\n",
              "3    0.048305\n",
              "4    0.689931\n",
              "5   -0.334352\n",
              "6    1.350884\n",
              "Name: standardized, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 151
        }
      ]
    }
  ]
}