AQI.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "031856d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "#import all the necessory\n",
    "import numpy as np \n",
    "import pandas as pd \n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import folium\n",
    "import json\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import mean_squared_log_error\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import r2_score, mean_squared_error\n",
    "from sklearn.model_selection import KFold\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from collections import defaultdict\n",
    "pd.options.mode.chained_assignment = None  # default='warn'\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "a12640a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import Data\n",
    "data = pd.read_csv(\"dataset.csv\", low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "f582cbb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>stn_code</th>\n",
       "      <th>sampling_date</th>\n",
       "      <th>state</th>\n",
       "      <th>location</th>\n",
       "      <th>agency</th>\n",
       "      <th>type</th>\n",
       "      <th>so2</th>\n",
       "      <th>no2</th>\n",
       "      <th>rspm</th>\n",
       "      <th>spm</th>\n",
       "      <th>location_monitoring_station</th>\n",
       "      <th>pm2_5</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>150</td>\n",
       "      <td>February - M021990</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Residential, Rural and other Areas</td>\n",
       "      <td>4.8</td>\n",
       "      <td>17.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2/1/1990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>151</td>\n",
       "      <td>February - M021990</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Industrial Area</td>\n",
       "      <td>3.1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2/1/1990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>152</td>\n",
       "      <td>February - M021990</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Residential, Rural and other Areas</td>\n",
       "      <td>6.2</td>\n",
       "      <td>28.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2/1/1990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>150</td>\n",
       "      <td>March - M031990</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Residential, Rural and other Areas</td>\n",
       "      <td>6.3</td>\n",
       "      <td>14.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3/1/1990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>151</td>\n",
       "      <td>March - M031990</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Industrial Area</td>\n",
       "      <td>4.7</td>\n",
       "      <td>7.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3/1/1990</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  stn_code       sampling_date           state   location agency  \\\n",
       "0      150  February - M021990  Andhra Pradesh  Hyderabad    NaN   \n",
       "1      151  February - M021990  Andhra Pradesh  Hyderabad    NaN   \n",
       "2      152  February - M021990  Andhra Pradesh  Hyderabad    NaN   \n",
       "3      150     March - M031990  Andhra Pradesh  Hyderabad    NaN   \n",
       "4      151     March - M031990  Andhra Pradesh  Hyderabad    NaN   \n",
       "\n",
       "                                 type  so2   no2  rspm  spm  \\\n",
       "0  Residential, Rural and other Areas  4.8  17.4   NaN  NaN   \n",
       "1                     Industrial Area  3.1   7.0   NaN  NaN   \n",
       "2  Residential, Rural and other Areas  6.2  28.5   NaN  NaN   \n",
       "3  Residential, Rural and other Areas  6.3  14.7   NaN  NaN   \n",
       "4                     Industrial Area  4.7   7.5   NaN  NaN   \n",
       "\n",
       "  location_monitoring_station  pm2_5      date  \n",
       "0                         NaN    NaN  2/1/1990  \n",
       "1                         NaN    NaN  2/1/1990  \n",
       "2                         NaN    NaN  2/1/1990  \n",
       "3                         NaN    NaN  3/1/1990  \n",
       "4                         NaN    NaN  3/1/1990  "
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking if data is properly imported\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "2ed45c81",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>stn_code</th>\n",
       "      <th>sampling_date</th>\n",
       "      <th>state</th>\n",
       "      <th>location</th>\n",
       "      <th>agency</th>\n",
       "      <th>type</th>\n",
       "      <th>so2</th>\n",
       "      <th>no2</th>\n",
       "      <th>rspm</th>\n",
       "      <th>spm</th>\n",
       "      <th>location_monitoring_station</th>\n",
       "      <th>pm2_5</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>435737</th>\n",
       "      <td>SAMP</td>\n",
       "      <td>24-12-15</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>ULUBERIA</td>\n",
       "      <td>West Bengal State Pollution Control Board</td>\n",
       "      <td>RIRUO</td>\n",
       "      <td>22.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Inside Rampal Industries,ULUBERIA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12/24/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435738</th>\n",
       "      <td>SAMP</td>\n",
       "      <td>29-12-15</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>ULUBERIA</td>\n",
       "      <td>West Bengal State Pollution Control Board</td>\n",
       "      <td>RIRUO</td>\n",
       "      <td>20.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Inside Rampal Industries,ULUBERIA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12/29/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435739</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>andaman-and-nicobar-islands</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435740</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lakshadweep</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435741</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tripura</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       stn_code sampling_date                        state  location  \\\n",
       "435737     SAMP      24-12-15                  West Bengal  ULUBERIA   \n",
       "435738     SAMP      29-12-15                  West Bengal  ULUBERIA   \n",
       "435739      NaN           NaN  andaman-and-nicobar-islands       NaN   \n",
       "435740      NaN           NaN                  Lakshadweep       NaN   \n",
       "435741      NaN           NaN                      Tripura       NaN   \n",
       "\n",
       "                                           agency   type   so2   no2   rspm  \\\n",
       "435737  West Bengal State Pollution Control Board  RIRUO  22.0  50.0  143.0   \n",
       "435738  West Bengal State Pollution Control Board  RIRUO  20.0  46.0  171.0   \n",
       "435739                                        NaN    NaN   NaN   NaN    NaN   \n",
       "435740                                        NaN    NaN   NaN   NaN    NaN   \n",
       "435741                                        NaN    NaN   NaN   NaN    NaN   \n",
       "\n",
       "        spm        location_monitoring_station  pm2_5        date  \n",
       "435737  NaN  Inside Rampal Industries,ULUBERIA    NaN  12/24/2015  \n",
       "435738  NaN  Inside Rampal Industries,ULUBERIA    NaN  12/29/2015  \n",
       "435739  NaN                                NaN    NaN         NaN  \n",
       "435740  NaN                                NaN    NaN         NaN  \n",
       "435741  NaN                                NaN    NaN         NaN  "
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking the lower 5 values\n",
    "data.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "3c67b326",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['stn_code', 'sampling_date', 'state', 'location', 'agency', 'type',\n",
       "       'so2', 'no2', 'rspm', 'spm', 'location_monitoring_station', 'pm2_5',\n",
       "       'date'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "e916197e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "stn_code                        object\n",
       "sampling_date                   object\n",
       "state                           object\n",
       "location                        object\n",
       "agency                          object\n",
       "type                            object\n",
       "so2                            float64\n",
       "no2                            float64\n",
       "rspm                           float64\n",
       "spm                            float64\n",
       "location_monitoring_station     object\n",
       "pm2_5                          float64\n",
       "date                            object\n",
       "dtype: object"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking the data types (pandas) of various features\n",
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "409e5b08",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 435742 entries, 0 to 435741\n",
      "Data columns (total 13 columns):\n",
      " #   Column                       Non-Null Count   Dtype  \n",
      "---  ------                       --------------   -----  \n",
      " 0   stn_code                     291665 non-null  object \n",
      " 1   sampling_date                435739 non-null  object \n",
      " 2   state                        435742 non-null  object \n",
      " 3   location                     435739 non-null  object \n",
      " 4   agency                       286261 non-null  object \n",
      " 5   type                         430349 non-null  object \n",
      " 6   so2                          401096 non-null  float64\n",
      " 7   no2                          419509 non-null  float64\n",
      " 8   rspm                         395520 non-null  float64\n",
      " 9   spm                          198355 non-null  float64\n",
      " 10  location_monitoring_station  408251 non-null  object \n",
      " 11  pm2_5                        9314 non-null    float64\n",
      " 12  date                         435735 non-null  object \n",
      "dtypes: float64(5), object(8)\n",
      "memory usage: 43.2+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "ed3ea764",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "stn_code                       144077\n",
       "sampling_date                       3\n",
       "state                               0\n",
       "location                            3\n",
       "agency                         149481\n",
       "type                             5393\n",
       "so2                             34646\n",
       "no2                             16233\n",
       "rspm                            40222\n",
       "spm                            237387\n",
       "location_monitoring_station     27491\n",
       "pm2_5                          426428\n",
       "date                                7\n",
       "dtype: int64"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Checking the no. of null value\n",
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "cfd8f153",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>so2</th>\n",
       "      <th>no2</th>\n",
       "      <th>rspm</th>\n",
       "      <th>spm</th>\n",
       "      <th>pm2_5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>401096.000000</td>\n",
       "      <td>419509.000000</td>\n",
       "      <td>395520.000000</td>\n",
       "      <td>198355.000000</td>\n",
       "      <td>9314.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>10.829414</td>\n",
       "      <td>25.809623</td>\n",
       "      <td>108.832784</td>\n",
       "      <td>220.783480</td>\n",
       "      <td>40.791467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>11.177187</td>\n",
       "      <td>18.503086</td>\n",
       "      <td>74.872430</td>\n",
       "      <td>151.395457</td>\n",
       "      <td>30.832525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>24.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>187.000000</td>\n",
       "      <td>32.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>13.700000</td>\n",
       "      <td>32.200000</td>\n",
       "      <td>142.000000</td>\n",
       "      <td>296.000000</td>\n",
       "      <td>46.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>909.000000</td>\n",
       "      <td>876.000000</td>\n",
       "      <td>6307.033333</td>\n",
       "      <td>3380.000000</td>\n",
       "      <td>504.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 so2            no2           rspm            spm        pm2_5\n",
       "count  401096.000000  419509.000000  395520.000000  198355.000000  9314.000000\n",
       "mean       10.829414      25.809623     108.832784     220.783480    40.791467\n",
       "std        11.177187      18.503086      74.872430     151.395457    30.832525\n",
       "min         0.000000       0.000000       0.000000       0.000000     3.000000\n",
       "25%         5.000000      14.000000      56.000000     111.000000    24.000000\n",
       "50%         8.000000      22.000000      90.000000     187.000000    32.000000\n",
       "75%        13.700000      32.200000     142.000000     296.000000    46.000000\n",
       "max       909.000000     876.000000    6307.033333    3380.000000   504.000000"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#its clear that there are a lot of null value in pm2.5, agency, stn_code, spm , etc.\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "ccb0b12e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Maharashtra                    60384\n",
       "Uttar Pradesh                  42816\n",
       "Andhra Pradesh                 26368\n",
       "Punjab                         25634\n",
       "Rajasthan                      25589\n",
       "Kerala                         24728\n",
       "Himachal Pradesh               22896\n",
       "West Bengal                    22463\n",
       "Gujarat                        21279\n",
       "Tamil Nadu                     20597\n",
       "Madhya Pradesh                 19920\n",
       "Assam                          19361\n",
       "Odisha                         19279\n",
       "Karnataka                      17119\n",
       "Delhi                           8551\n",
       "Chandigarh                      8520\n",
       "Chhattisgarh                    7831\n",
       "Goa                             6206\n",
       "Jharkhand                       5968\n",
       "Mizoram                         5338\n",
       "Telangana                       3978\n",
       "Meghalaya                       3853\n",
       "Puducherry                      3785\n",
       "Haryana                         3420\n",
       "Nagaland                        2463\n",
       "Bihar                           2275\n",
       "Uttarakhand                     2246\n",
       "Jammu & Kashmir                 1289\n",
       "Daman & Diu                      782\n",
       "Dadra & Nagar Haveli             634\n",
       "Arunachal Pradesh                 90\n",
       "Manipur                           76\n",
       "andaman-and-nicobar-islands        1\n",
       "Sikkim                             1\n",
       "Lakshadweep                        1\n",
       "Tripura                            1\n",
       "Name: state, dtype: int64"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "replacements = {'state': {r'Uttaranchal': 'Uttarakhand', }}\n",
    "data.replace(replacements, regex = True, inplace = True)\n",
    "data[\"state\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "4f36fd88",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Maharashtra State Pollution Control Board                                 27857\n",
       "Uttar Pradesh State Pollution Control Board                               22686\n",
       "Andhra Pradesh State Pollution Control Board                              19139\n",
       "Himachal Pradesh State Environment Proection & Pollution Control Board    15287\n",
       "Punjab State Pollution Control Board                                      15232\n",
       "                                                                          ...  \n",
       "Arunachal Pradesh State Pollution Control Board                              90\n",
       "TNPC                                                                         82\n",
       "RPCB                                                                         63\n",
       "VRCE                                                                         61\n",
       "RJPB                                                                         53\n",
       "Name: agency, Length: 64, dtype: int64"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['agency'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "73e04896",
   "metadata": {},
   "outputs": [],
   "source": [
    "#deleting all values which have null in type attribute\n",
    "data=data.dropna(axis = 0, subset = ['type'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "d7b3c085",
   "metadata": {},
   "outputs": [],
   "source": [
    "# deleting all values which are null in location attribute\n",
    "data = data.dropna(axis = 0, subset = ['location'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "d1dcc199",
   "metadata": {},
   "outputs": [],
   "source": [
    "#deleting all null values in so2 attribute\n",
    "data = data.dropna(axis = 0, subset = ['so2'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "4f77bbe3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "stn_code                       119813\n",
       "sampling_date                       0\n",
       "state                               0\n",
       "location                            0\n",
       "agency                         125169\n",
       "type                                0\n",
       "so2                                 0\n",
       "no2                              1981\n",
       "rspm                            29643\n",
       "spm                            228178\n",
       "location_monitoring_station     20567\n",
       "pm2_5                          386966\n",
       "date                                4\n",
       "dtype: int64"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "2d2ecf97",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state</th>\n",
       "      <th>location</th>\n",
       "      <th>type</th>\n",
       "      <th>so2</th>\n",
       "      <th>no2</th>\n",
       "      <th>rspm</th>\n",
       "      <th>spm</th>\n",
       "      <th>pm2_5</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Residential, Rural and other Areas</td>\n",
       "      <td>4.8</td>\n",
       "      <td>17.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2/1/1990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Industrial Area</td>\n",
       "      <td>3.1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2/1/1990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Residential, Rural and other Areas</td>\n",
       "      <td>6.2</td>\n",
       "      <td>28.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2/1/1990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Residential, Rural and other Areas</td>\n",
       "      <td>6.3</td>\n",
       "      <td>14.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3/1/1990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Industrial Area</td>\n",
       "      <td>4.7</td>\n",
       "      <td>7.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3/1/1990</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            state   location                                type  so2   no2  \\\n",
       "0  Andhra Pradesh  Hyderabad  Residential, Rural and other Areas  4.8  17.4   \n",
       "1  Andhra Pradesh  Hyderabad                     Industrial Area  3.1   7.0   \n",
       "2  Andhra Pradesh  Hyderabad  Residential, Rural and other Areas  6.2  28.5   \n",
       "3  Andhra Pradesh  Hyderabad  Residential, Rural and other Areas  6.3  14.7   \n",
       "4  Andhra Pradesh  Hyderabad                     Industrial Area  4.7   7.5   \n",
       "\n",
       "   rspm  spm  pm2_5      date  \n",
       "0   NaN  NaN    NaN  2/1/1990  \n",
       "1   NaN  NaN    NaN  2/1/1990  \n",
       "2   NaN  NaN    NaN  2/1/1990  \n",
       "3   NaN  NaN    NaN  3/1/1990  \n",
       "4   NaN  NaN    NaN  3/1/1990  "
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#not interested in agency\n",
    "del data['agency']\n",
    "del data['location_monitoring_station']\n",
    "del data['stn_code']\n",
    "del data['sampling_date']\n",
    "#dataset after deleting the above columns\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "7a65f4b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Residential, Rural and other Areas    173027\n",
       "Industrial Area                        92414\n",
       "Residential and others                 70882\n",
       "Industrial Areas                       44823\n",
       "Sensitive Area                          8856\n",
       "Sensitive Areas                         4108\n",
       "RIRUO                                   1304\n",
       "Sensitive                                456\n",
       "Industrial                               183\n",
       "Residential                              108\n",
       "Name: type, dtype: int64"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['type'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "835ea54e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Residential    244017\n",
       "Industrial     137420\n",
       "Other           14724\n",
       "Name: type, dtype: int64"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We do not need all these types \n",
    "#changing type to only 3 categories\n",
    "a = list(data['type'])\n",
    "for i in range(0, len(data)):\n",
    "    if str(a[i][0]) == 'R' and a[i][1] == 'e':\n",
    "        a[i] = 'Residential'\n",
    "    elif str(a[i][0]) == 'I':\n",
    "        a[i] = 'Industrial'\n",
    "    else:\n",
    "        a[i] = 'Other'\n",
    "#the above code takes all the different types and changes them into 3 types( RESIDENTIAL, INDUSTRIAL, OTHER )\n",
    "data['type'] = a\n",
    "data['type'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d6eea34",
   "metadata": {},
   "source": [
    "<h1>INITIAL VISUALIZATIONS</h1>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97ff20b7",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "5d65dab8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x214269a0e50>"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot( y=\"type\", kind = \"count\", palette = \"pastel\", data = data,  orient=\"h\")\n",
    "g.set_axis_labels(\"Count\",\"Type Of Area\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "b556b3de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>per</th>\n",
       "      <th>per100</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Residential</th>\n",
       "      <td>244017</td>\n",
       "      <td>0.615954</td>\n",
       "      <td>61.6%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Industrial</th>\n",
       "      <td>137420</td>\n",
       "      <td>0.346879</td>\n",
       "      <td>34.7%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>14724</td>\n",
       "      <td>0.037167</td>\n",
       "      <td>3.7%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             counts       per per100\n",
       "Residential  244017  0.615954  61.6%\n",
       "Industrial   137420  0.346879  34.7%\n",
       "Other         14724  0.037167   3.7%"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "counts = data[\"type\"].value_counts()\n",
    "percent = data[\"type\"].value_counts(normalize=True)\n",
    "percent100 = data[\"type\"].value_counts(normalize=True).mul(100).round(1).astype(str) + '%'\n",
    "df = pd.DataFrame({'counts': counts, 'per': percent, 'per100': percent100})\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "c6ed80b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pie chart\n",
    "labels = ['Residential','Industrial','Other']\n",
    "#colors\n",
    "colors = ['#ff9999','#66b3ff','#99ff99']\n",
    "explode = (0.02, 0.02, 0.1)\n",
    "fig1, ax1 = plt.subplots()\n",
    "ax1.pie(df.per, colors = colors, labels=labels,explode=explode ,autopct='%1.1f%%',shadow=True, startangle=90)\n",
    "ax1.axis('equal')  \n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "99bad536",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>so2</th>\n",
       "      <th>no2</th>\n",
       "      <th>rspm</th>\n",
       "      <th>spm</th>\n",
       "      <th>pm2_5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>396161.000000</td>\n",
       "      <td>396161.000000</td>\n",
       "      <td>396161.000000</td>\n",
       "      <td>392147.000000</td>\n",
       "      <td>112271.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>10.758950</td>\n",
       "      <td>26.156639</td>\n",
       "      <td>111.300928</td>\n",
       "      <td>218.117678</td>\n",
       "      <td>48.295883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>11.116237</td>\n",
       "      <td>18.462806</td>\n",
       "      <td>73.513325</td>\n",
       "      <td>117.066880</td>\n",
       "      <td>21.715138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>151.000000</td>\n",
       "      <td>30.511628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>94.000000</td>\n",
       "      <td>207.595198</td>\n",
       "      <td>42.204089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>13.500000</td>\n",
       "      <td>32.800000</td>\n",
       "      <td>145.000000</td>\n",
       "      <td>251.000000</td>\n",
       "      <td>64.979624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>909.000000</td>\n",
       "      <td>876.000000</td>\n",
       "      <td>6307.033333</td>\n",
       "      <td>2610.000000</td>\n",
       "      <td>504.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 so2            no2           rspm            spm  \\\n",
       "count  396161.000000  396161.000000  396161.000000  392147.000000   \n",
       "mean       10.758950      26.156639     111.300928     218.117678   \n",
       "std        11.116237      18.462806      73.513325     117.066880   \n",
       "min         0.000000       0.000000       0.000000       0.000000   \n",
       "25%         5.000000      14.000000      59.000000     151.000000   \n",
       "50%         8.000000      22.000000      94.000000     207.595198   \n",
       "75%        13.500000      32.800000     145.000000     251.000000   \n",
       "max       909.000000     876.000000    6307.033333    2610.000000   \n",
       "\n",
       "               pm2_5  \n",
       "count  112271.000000  \n",
       "mean       48.295883  \n",
       "std        21.715138  \n",
       "min         3.000000  \n",
       "25%        30.511628  \n",
       "50%        42.204089  \n",
       "75%        64.979624  \n",
       "max       504.000000  "
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Trying to get rid of null values\n",
    "grp_state = data.groupby('state')\n",
    "def impute_mean_by_state(series):\n",
    "    return series.fillna(series.mean())\n",
    "\n",
    "data['rspm']=grp_state['rspm'].transform(impute_mean_by_state)\n",
    "data['so2']=grp_state['so2'].transform(impute_mean_by_state)\n",
    "data['no2']=grp_state['no2'].transform(impute_mean_by_state)\n",
    "data['spm']=grp_state['spm'].transform(impute_mean_by_state)\n",
    "data['pm2_5']=grp_state['pm2_5'].transform(impute_mean_by_state)\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "43d316f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "#so2 vs state - desc order\n",
    "so2 = data[['so2', 'state']].groupby(['state']).median().sort_values(\"so2\", ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "0765e827",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 0.,  5., 10., 15., 20., 25., 30.]),\n",
       " [Text(0.0, 0, '0'),\n",
       "  Text(5.0, 0, '5'),\n",
       "  Text(10.0, 0, '10'),\n",
       "  Text(15.0, 0, '15'),\n",
       "  Text(20.0, 0, '20'),\n",
       "  Text(25.0, 0, '25'),\n",
       "  Text(30.0, 0, '30')])"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.catplot(x=\"so2\", y=so2.head(10).index, data=so2.head(10), kind=\"bar\",palette=\"flare\" , height=12)\n",
    "plt.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "252c9e37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 0., 10., 20., 30., 40., 50., 60.]),\n",
       " [Text(0.0, 0, '0'),\n",
       "  Text(10.0, 0, '10'),\n",
       "  Text(20.0, 0, '20'),\n",
       "  Text(30.0, 0, '30'),\n",
       "  Text(40.0, 0, '40'),\n",
       "  Text(50.0, 0, '50'),\n",
       "  Text(60.0, 0, '60')])"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "no2 = data[['no2', 'state']].groupby(['state']).median().sort_values(\"no2\", ascending = False)\n",
    "ax = sns.catplot(x=\"no2\", y=no2.head(10).index, data=no2.head(10),palette=\"flare\", kind=\"bar\" , height=12)\n",
    "plt.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "db1ee17f",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([  0.,  25.,  50.,  75., 100., 125., 150., 175., 200., 225.]),\n",
       " [Text(0.0, 0, '0'),\n",
       "  Text(25.0, 0, '25'),\n",
       "  Text(50.0, 0, '50'),\n",
       "  Text(75.0, 0, '75'),\n",
       "  Text(100.0, 0, '100'),\n",
       "  Text(125.0, 0, '125'),\n",
       "  Text(150.0, 0, '150'),\n",
       "  Text(175.0, 0, '175'),\n",
       "  Text(200.0, 0, '200'),\n",
       "  Text(225.0, 0, '225')])"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "PM10 = data[['rspm', 'state']].groupby(['state']).median().sort_values(\"rspm\", ascending = False)\n",
    "ax = sns.catplot(x=\"rspm\", y=PM10.head(10).index, data=PM10.head(10), palette=\"flare\", kind=\"bar\" , height=12)\n",
    "plt.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "9bdfb1af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([  0.,  50., 100., 150., 200., 250., 300., 350., 400., 450.]),\n",
       " [Text(0.0, 0, '0'),\n",
       "  Text(50.0, 0, '50'),\n",
       "  Text(100.0, 0, '100'),\n",
       "  Text(150.0, 0, '150'),\n",
       "  Text(200.0, 0, '200'),\n",
       "  Text(250.0, 0, '250'),\n",
       "  Text(300.0, 0, '300'),\n",
       "  Text(350.0, 0, '350'),\n",
       "  Text(400.0, 0, '400'),\n",
       "  Text(450.0, 0, '450')])"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "spm=data[['spm', 'state']].groupby(['state']).median().sort_values(\"spm\", ascending = False)\n",
    "ax = sns.catplot(x=\"spm\", y=spm.head(10).index, data=spm.head(10), kind=\"bar\",palette=\"flare\" , height=12)\n",
    "plt.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "890089c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>so2</th>\n",
       "      <th>no2</th>\n",
       "      <th>rspm</th>\n",
       "      <th>spm</th>\n",
       "      <th>pm2_5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>396161.000000</td>\n",
       "      <td>396161.000000</td>\n",
       "      <td>396161.000000</td>\n",
       "      <td>392147.000000</td>\n",
       "      <td>112271.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>10.758950</td>\n",
       "      <td>26.156639</td>\n",
       "      <td>111.300928</td>\n",
       "      <td>218.117678</td>\n",
       "      <td>48.295883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>11.116237</td>\n",
       "      <td>18.462806</td>\n",
       "      <td>73.513325</td>\n",
       "      <td>117.066880</td>\n",
       "      <td>21.715138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>151.000000</td>\n",
       "      <td>30.511628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>94.000000</td>\n",
       "      <td>207.595198</td>\n",
       "      <td>42.204089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>13.500000</td>\n",
       "      <td>32.800000</td>\n",
       "      <td>145.000000</td>\n",
       "      <td>251.000000</td>\n",
       "      <td>64.979624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>909.000000</td>\n",
       "      <td>876.000000</td>\n",
       "      <td>6307.033333</td>\n",
       "      <td>2610.000000</td>\n",
       "      <td>504.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 so2            no2           rspm            spm  \\\n",
       "count  396161.000000  396161.000000  396161.000000  392147.000000   \n",
       "mean       10.758950      26.156639     111.300928     218.117678   \n",
       "std        11.116237      18.462806      73.513325     117.066880   \n",
       "min         0.000000       0.000000       0.000000       0.000000   \n",
       "25%         5.000000      14.000000      59.000000     151.000000   \n",
       "50%         8.000000      22.000000      94.000000     207.595198   \n",
       "75%        13.500000      32.800000     145.000000     251.000000   \n",
       "max       909.000000     876.000000    6307.033333    2610.000000   \n",
       "\n",
       "               pm2_5  \n",
       "count  112271.000000  \n",
       "mean       48.295883  \n",
       "std        21.715138  \n",
       "min         3.000000  \n",
       "25%        30.511628  \n",
       "50%        42.204089  \n",
       "75%        64.979624  \n",
       "max       504.000000  "
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "f65bb819",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([  0.,  20.,  40.,  60.,  80., 100., 120.]),\n",
       " [Text(0.0, 0, '0'),\n",
       "  Text(20.0, 0, '20'),\n",
       "  Text(40.0, 0, '40'),\n",
       "  Text(60.0, 0, '60'),\n",
       "  Text(80.0, 0, '80'),\n",
       "  Text(100.0, 0, '100'),\n",
       "  Text(120.0, 0, '120')])"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pm2_5=data[['pm2_5', 'state']].groupby(['state']).median().sort_values(\"pm2_5\", ascending = False).head(10)\n",
    "ax = sns.catplot(x=\"pm2_5\", y=pm2_5.head(10).index, data=pm2_5.head(10), kind=\"bar\",palette=\"flare\" , height=12)\n",
    "plt.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "457336e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x900 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cols = ['so2', 'no2', 'rspm', 'spm', 'pm2_5']\n",
    "sns.pairplot(data[cols],height = 2.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "e8226c0e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corrmat = data.corr()\n",
    "f, ax = plt.subplots(figsize = (15, 10))\n",
    "sns.heatmap(corrmat, vmax = 1, square = True, annot = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "189f22aa",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state</th>\n",
       "      <th>location</th>\n",
       "      <th>type</th>\n",
       "      <th>so2</th>\n",
       "      <th>no2</th>\n",
       "      <th>rspm</th>\n",
       "      <th>spm</th>\n",
       "      <th>pm2_5</th>\n",
       "      <th>date</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Residential</td>\n",
       "      <td>4.8</td>\n",
       "      <td>17.4</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>202.379112</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990-02-01</td>\n",
       "      <td>1990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Industrial</td>\n",
       "      <td>3.1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>202.379112</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990-02-01</td>\n",
       "      <td>1990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Residential</td>\n",
       "      <td>6.2</td>\n",
       "      <td>28.5</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>202.379112</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990-02-01</td>\n",
       "      <td>1990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Residential</td>\n",
       "      <td>6.3</td>\n",
       "      <td>14.7</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>202.379112</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990-03-01</td>\n",
       "      <td>1990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Industrial</td>\n",
       "      <td>4.7</td>\n",
       "      <td>7.5</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>202.379112</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990-03-01</td>\n",
       "      <td>1990</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            state   location         type  so2   no2      rspm         spm  \\\n",
       "0  Andhra Pradesh  Hyderabad  Residential  4.8  17.4  78.20071  202.379112   \n",
       "1  Andhra Pradesh  Hyderabad   Industrial  3.1   7.0  78.20071  202.379112   \n",
       "2  Andhra Pradesh  Hyderabad  Residential  6.2  28.5  78.20071  202.379112   \n",
       "3  Andhra Pradesh  Hyderabad  Residential  6.3  14.7  78.20071  202.379112   \n",
       "4  Andhra Pradesh  Hyderabad   Industrial  4.7   7.5  78.20071  202.379112   \n",
       "\n",
       "   pm2_5       date  year  \n",
       "0    NaN 1990-02-01  1990  \n",
       "1    NaN 1990-02-01  1990  \n",
       "2    NaN 1990-02-01  1990  \n",
       "3    NaN 1990-03-01  1990  \n",
       "4    NaN 1990-03-01  1990  "
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creating an year column\n",
    "data['date'] = pd.to_datetime(data['date'], format = '%m/%d/%Y')\n",
    "data['year'] = data['date'].dt.year # year\n",
    "data['year'] = data['year'].fillna(0.0).astype(int)\n",
    "data = data[(data['year']>0)]\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "e983a80d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'no2 by state and year'}, xlabel='year', ylabel='state'>"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Heatmap Pivot with State as Row, Year as Col, No2 as Value\n",
    "f, ax = plt.subplots(figsize=(10,10))\n",
    "ax.set_title('{} by state and year'.format('no2'))\n",
    "sns.heatmap(data.pivot_table('no2', index='state',\n",
    "                columns=['year'],aggfunc='median',margins=True),\n",
    "                annot = True, cmap = \"YlGnBu\", linewidths = 1, ax = ax,cbar_kws = {'label': 'Annual Average'})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "id": "a35f88c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'rspm by state and year'}, xlabel='year', ylabel='state'>"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "# heatmap of rspm\n",
    "f, ax = plt.subplots(figsize = (10,10))\n",
    "ax.set_title('{} by state and year'.format('rspm'))\n",
    "sns.heatmap(data.pivot_table('rspm', index='state',\n",
    "                columns = ['year'], aggfunc = 'median', margins = True),\n",
    "                 cmap = \"YlGnBu\", linewidths = 1, ax = ax, cbar_kws = {'label': 'Annual Average'})\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "eb18999d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'spm by state and year'}, xlabel='year', ylabel='state'>"
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# heatmap of spm\n",
    "f, ax = plt.subplots(figsize = (10, 10))\n",
    "ax.set_title('{} by state and year'.format('spm'))\n",
    "sns.heatmap(data.pivot_table('spm', index ='state',\n",
    "                columns = ['year'], aggfunc = 'median', margins = True)\n",
    "                , cmap = \"YlGnBu\", linewidths = 0.5, ax = ax, cbar_kws = {'label': 'Annual Average'})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1f1389a",
   "metadata": {},
   "source": [
    "<h1>CALCULATING AQI</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "2fea28da",
   "metadata": {},
   "outputs": [],
   "source": [
    "def cal_SOi(so2):\n",
    "    si=0\n",
    "    if (so2<=40):\n",
    "     si= so2*(50/40)\n",
    "    elif (so2>40 and so2<=80):\n",
    "     si= 50+(so2-40)*(50/40)\n",
    "    elif (so2>80 and so2<=380):\n",
    "     si= 100+(so2-80)*(100/300)\n",
    "    elif (so2>380 and so2<=800):\n",
    "     si= 200+(so2-380)*(100/420)\n",
    "    elif (so2>800 and so2<=1600):\n",
    "     si= 300+(so2-800)*(100/800)\n",
    "    elif (so2>1600):\n",
    "     si= 400+(so2-1600)*(100/800)\n",
    "    return si\n",
    "data['SOi']=data['so2'].apply(cal_SOi)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "83aa4537",
   "metadata": {},
   "outputs": [],
   "source": [
    "def cal_Noi(no2):\n",
    "    ni=0\n",
    "    if(no2<=40):\n",
    "     ni= no2*50/40\n",
    "    elif(no2>40 and no2<=80):\n",
    "     ni= 50+(no2-40)*(50/40)\n",
    "    elif(no2>80 and no2<=180):\n",
    "     ni= 100+(no2-80)*(100/100)\n",
    "    elif(no2>180 and no2<=280):\n",
    "     ni= 200+(no2-180)*(100/100)\n",
    "    elif(no2>280 and no2<=400):\n",
    "     ni= 300+(no2-280)*(100/120)\n",
    "    else:\n",
    "     ni= 400+(no2-400)*(100/120)\n",
    "    return ni\n",
    "data['Noi']=data['no2'].apply(cal_Noi)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "id": "dc0cd4dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "def cal_RSPMi(rspm):\n",
    "    rpi=0\n",
    "    if(rspm<=100):\n",
    "     rpi = rspm\n",
    "    elif(rspm>=101 and rspm<=150):\n",
    "     rpi= 101+(rspm-101)*((200-101)/(150-101))\n",
    "    elif(rspm>=151 and rspm<=350):\n",
    "     ni= 201+(rspm-151)*((300-201)/(350-151))\n",
    "    elif(rspm>=351 and rspm<=420):\n",
    "     ni= 301+(rspm-351)*((400-301)/(420-351))\n",
    "    elif(rspm>420):\n",
    "     ni= 401+(rspm-420)*((500-401)/(420-351))\n",
    "    return rpi\n",
    "data['RSPMi']=data['rspm'].apply(cal_RSPMi)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "04aaa888",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def cal_SPMi(spm):\n",
    "    spi=0\n",
    "    if(spm<=50):\n",
    "     spi=spm*50/50\n",
    "    elif(spm>50 and spm<=100):\n",
    "     spi=50+(spm-50)*(50/50)\n",
    "    elif(spm>100 and spm<=250):\n",
    "     spi= 100+(spm-100)*(100/150)\n",
    "    elif(spm>250 and spm<=350):\n",
    "     spi=200+(spm-250)*(100/100)\n",
    "    elif(spm>350 and spm<=430):\n",
    "     spi=300+(spm-350)*(100/80)\n",
    "    else:\n",
    "     spi=400+(spm-430)*(100/430)\n",
    "    return spi\n",
    "   \n",
    "data['SPMi']=data['spm'].apply(cal_SPMi)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "id": "3b4b4391",
   "metadata": {},
   "outputs": [],
   "source": [
    "def cal_pmi(pm2_5):\n",
    "    pmi=0\n",
    "    if(pm2_5<=50):\n",
    "     pmi=pm2_5*(50/50)\n",
    "    elif(pm2_5>50 and pm2_5<=100):\n",
    "     pmi=50+(pm2_5-50)*(50/50)\n",
    "    elif(pm2_5>100 and pm2_5<=250):\n",
    "     pmi= 100+(pm2_5-100)*(100/150)\n",
    "    elif(pm2_5>250 and pm2_5<=350):\n",
    "     pmi=200+(pm2_5-250)*(100/100)\n",
    "    elif(pm2_5>350 and pm2_5<=450):\n",
    "     pmi=300+(pm2_5-350)*(100/100)\n",
    "    else:\n",
    "     pmi=400+(pm2_5-430)*(100/80)\n",
    "    return pmi\n",
    "data['PMi']=data['pm2_5'].apply(cal_pmi)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "6544fcb6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state</th>\n",
       "      <th>SOi</th>\n",
       "      <th>Noi</th>\n",
       "      <th>RSPMi</th>\n",
       "      <th>SPMi</th>\n",
       "      <th>AQI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>6.000</td>\n",
       "      <td>21.750</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>168.252741</td>\n",
       "      <td>168.252741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>3.875</td>\n",
       "      <td>8.750</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>168.252741</td>\n",
       "      <td>168.252741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>7.750</td>\n",
       "      <td>35.625</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>168.252741</td>\n",
       "      <td>168.252741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>7.875</td>\n",
       "      <td>18.375</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>168.252741</td>\n",
       "      <td>168.252741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>5.875</td>\n",
       "      <td>9.375</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>168.252741</td>\n",
       "      <td>168.252741</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            state    SOi     Noi     RSPMi        SPMi         AQI\n",
       "0  Andhra Pradesh  6.000  21.750  78.20071  168.252741  168.252741\n",
       "1  Andhra Pradesh  3.875   8.750  78.20071  168.252741  168.252741\n",
       "2  Andhra Pradesh  7.750  35.625  78.20071  168.252741  168.252741\n",
       "3  Andhra Pradesh  7.875  18.375  78.20071  168.252741  168.252741\n",
       "4  Andhra Pradesh  5.875   9.375  78.20071  168.252741  168.252741"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def cal_aqi(si,ni,rspmi,spmi,pmi):\n",
    "    aqi=0\n",
    "    if(si>ni and si>rspmi and si>spmi):\n",
    "     aqi=si\n",
    "    if(ni>si and ni>rspmi and ni>spmi ):\n",
    "     aqi=ni\n",
    "    if(rspmi>si and rspmi>ni and rspmi>spmi ):\n",
    "     aqi=rspmi\n",
    "    if(spmi>si and spmi>ni and spmi>rspmi):\n",
    "     aqi=spmi\n",
    "    return aqi\n",
    "\n",
    "data['AQI']=data.apply(lambda x:cal_aqi(x['SOi'],x['Noi'],x['RSPMi'],x['SPMi'],x['PMi']),axis=1)\n",
    "df= data[['state','SOi','Noi','RSPMi','SPMi','AQI']]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "57c6ef1c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state</th>\n",
       "      <th>location</th>\n",
       "      <th>type</th>\n",
       "      <th>so2</th>\n",
       "      <th>no2</th>\n",
       "      <th>rspm</th>\n",
       "      <th>spm</th>\n",
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       "      <th>date</th>\n",
       "      <th>year</th>\n",
       "      <th>SOi</th>\n",
       "      <th>Noi</th>\n",
       "      <th>RSPMi</th>\n",
       "      <th>SPMi</th>\n",
       "      <th>PMi</th>\n",
       "      <th>AQI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Residential</td>\n",
       "      <td>4.8</td>\n",
       "      <td>17.4</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>202.379112</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990-02-01</td>\n",
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       "      <td>168.252741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Industrial</td>\n",
       "      <td>3.1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>202.379112</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990-02-01</td>\n",
       "      <td>1990</td>\n",
       "      <td>3.875</td>\n",
       "      <td>8.750</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>168.252741</td>\n",
       "      <td>NaN</td>\n",
       "      <td>168.252741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Residential</td>\n",
       "      <td>6.2</td>\n",
       "      <td>28.5</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>202.379112</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990-02-01</td>\n",
       "      <td>1990</td>\n",
       "      <td>7.750</td>\n",
       "      <td>35.625</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>168.252741</td>\n",
       "      <td>NaN</td>\n",
       "      <td>168.252741</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Residential</td>\n",
       "      <td>6.3</td>\n",
       "      <td>14.7</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>202.379112</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990-03-01</td>\n",
       "      <td>1990</td>\n",
       "      <td>7.875</td>\n",
       "      <td>18.375</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>168.252741</td>\n",
       "      <td>NaN</td>\n",
       "      <td>168.252741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Industrial</td>\n",
       "      <td>4.7</td>\n",
       "      <td>7.5</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>202.379112</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990-03-01</td>\n",
       "      <td>1990</td>\n",
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       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "            state   location         type  so2   no2      rspm         spm  \\\n",
       "0  Andhra Pradesh  Hyderabad  Residential  4.8  17.4  78.20071  202.379112   \n",
       "1  Andhra Pradesh  Hyderabad   Industrial  3.1   7.0  78.20071  202.379112   \n",
       "2  Andhra Pradesh  Hyderabad  Residential  6.2  28.5  78.20071  202.379112   \n",
       "3  Andhra Pradesh  Hyderabad  Residential  6.3  14.7  78.20071  202.379112   \n",
       "4  Andhra Pradesh  Hyderabad   Industrial  4.7   7.5  78.20071  202.379112   \n",
       "\n",
       "   pm2_5       date  year    SOi     Noi     RSPMi        SPMi  PMi  \\\n",
       "0    NaN 1990-02-01  1990  6.000  21.750  78.20071  168.252741  NaN   \n",
       "1    NaN 1990-02-01  1990  3.875   8.750  78.20071  168.252741  NaN   \n",
       "2    NaN 1990-02-01  1990  7.750  35.625  78.20071  168.252741  NaN   \n",
       "3    NaN 1990-03-01  1990  7.875  18.375  78.20071  168.252741  NaN   \n",
       "4    NaN 1990-03-01  1990  5.875   9.375  78.20071  168.252741  NaN   \n",
       "\n",
       "          AQI  \n",
       "0  168.252741  \n",
       "1  168.252741  \n",
       "2  168.252741  \n",
       "3  168.252741  \n",
       "4  168.252741  "
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "cf84f37e",
   "metadata": {},
   "outputs": [
    {
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       "      <th>AQI_Range</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Residential</td>\n",
       "      <td>4.8</td>\n",
       "      <td>17.4</td>\n",
       "      <td>78.20071</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>168.252741</td>\n",
       "      <td>Poor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Industrial</td>\n",
       "      <td>3.1</td>\n",
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       "      <td>78.20071</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>1990-02-01</td>\n",
       "      <td>1990</td>\n",
       "      <td>3.875</td>\n",
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       "      <td>168.252741</td>\n",
       "      <td>NaN</td>\n",
       "      <td>168.252741</td>\n",
       "      <td>Poor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Residential</td>\n",
       "      <td>6.2</td>\n",
       "      <td>28.5</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>202.379112</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990-02-01</td>\n",
       "      <td>1990</td>\n",
       "      <td>7.750</td>\n",
       "      <td>35.625</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>168.252741</td>\n",
       "      <td>NaN</td>\n",
       "      <td>168.252741</td>\n",
       "      <td>Poor</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Residential</td>\n",
       "      <td>6.3</td>\n",
       "      <td>14.7</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>202.379112</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990-03-01</td>\n",
       "      <td>1990</td>\n",
       "      <td>7.875</td>\n",
       "      <td>18.375</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>168.252741</td>\n",
       "      <td>NaN</td>\n",
       "      <td>168.252741</td>\n",
       "      <td>Poor</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Industrial</td>\n",
       "      <td>4.7</td>\n",
       "      <td>7.5</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>202.379112</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990-03-01</td>\n",
       "      <td>1990</td>\n",
       "      <td>5.875</td>\n",
       "      <td>9.375</td>\n",
       "      <td>78.20071</td>\n",
       "      <td>168.252741</td>\n",
       "      <td>NaN</td>\n",
       "      <td>168.252741</td>\n",
       "      <td>Poor</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            state   location         type  so2   no2      rspm         spm  \\\n",
       "0  Andhra Pradesh  Hyderabad  Residential  4.8  17.4  78.20071  202.379112   \n",
       "1  Andhra Pradesh  Hyderabad   Industrial  3.1   7.0  78.20071  202.379112   \n",
       "2  Andhra Pradesh  Hyderabad  Residential  6.2  28.5  78.20071  202.379112   \n",
       "3  Andhra Pradesh  Hyderabad  Residential  6.3  14.7  78.20071  202.379112   \n",
       "4  Andhra Pradesh  Hyderabad   Industrial  4.7   7.5  78.20071  202.379112   \n",
       "\n",
       "   pm2_5       date  year    SOi     Noi     RSPMi        SPMi  PMi  \\\n",
       "0    NaN 1990-02-01  1990  6.000  21.750  78.20071  168.252741  NaN   \n",
       "1    NaN 1990-02-01  1990  3.875   8.750  78.20071  168.252741  NaN   \n",
       "2    NaN 1990-02-01  1990  7.750  35.625  78.20071  168.252741  NaN   \n",
       "3    NaN 1990-03-01  1990  7.875  18.375  78.20071  168.252741  NaN   \n",
       "4    NaN 1990-03-01  1990  5.875   9.375  78.20071  168.252741  NaN   \n",
       "\n",
       "          AQI AQI_Range  \n",
       "0  168.252741      Poor  \n",
       "1  168.252741      Poor  \n",
       "2  168.252741      Poor  \n",
       "3  168.252741      Poor  \n",
       "4  168.252741      Poor  "
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def AQI_Range(x):\n",
    "    if x<=50:\n",
    "        return \"Good\"\n",
    "    elif x>50 and x<=100:\n",
    "        return \"Moderate\"\n",
    "    elif x>100 and x<=200:\n",
    "        return \"Poor\"\n",
    "    elif x>200 and x<=300:\n",
    "        return \"Unhealthy\"\n",
    "    elif x>300 and x<=400:\n",
    "        return \"Very unhealthy\"\n",
    "    elif x>400:\n",
    "        return \"Hazardous\"\n",
    "\n",
    "data['AQI_Range'] = data['AQI'] .apply(AQI_Range)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "465bc3c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "state        0\n",
       "location     0\n",
       "type         0\n",
       "so2          0\n",
       "no2          0\n",
       "rspm         0\n",
       "spm          0\n",
       "pm2_5        0\n",
       "date         0\n",
       "year         0\n",
       "SOi          0\n",
       "Noi          0\n",
       "RSPMi        0\n",
       "SPMi         0\n",
       "PMi          0\n",
       "AQI          0\n",
       "AQI_Range    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data=data.dropna(subset=['spm']) #spm\n",
    "data=data.dropna(subset=['pm2_5']) #spm\n",
    "data.isna().sum() #all null values removed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "64e912b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'AQI by state and year'}, xlabel='year', ylabel='state'>"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(figsize = (10, 5))\n",
    "ax.set_title('{} by state and year'.format('AQI'))\n",
    "sns.heatmap(data.pivot_table('AQI', index ='state',\n",
    "                columns = ['year'], aggfunc = 'median', margins = True)\n",
    "                , cmap = \"YlGnBu\", linewidths = 0.5, ax = ax, cbar_kws = {'label': 'Annual Average'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "55fe3228",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SOi</th>\n",
       "      <th>Noi</th>\n",
       "      <th>RSPMi</th>\n",
       "      <th>SPMi</th>\n",
       "      <th>PMi</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>64476</th>\n",
       "      <td>13.000</td>\n",
       "      <td>23.125</td>\n",
       "      <td>111.102041</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>30.511628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64477</th>\n",
       "      <td>13.375</td>\n",
       "      <td>23.625</td>\n",
       "      <td>121.204082</td>\n",
       "      <td>211.000000</td>\n",
       "      <td>30.511628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64478</th>\n",
       "      <td>13.375</td>\n",
       "      <td>23.625</td>\n",
       "      <td>121.204082</td>\n",
       "      <td>210.000000</td>\n",
       "      <td>30.511628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64479</th>\n",
       "      <td>13.625</td>\n",
       "      <td>24.250</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>181.333333</td>\n",
       "      <td>30.511628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64480</th>\n",
       "      <td>13.750</td>\n",
       "      <td>24.500</td>\n",
       "      <td>127.265306</td>\n",
       "      <td>214.000000</td>\n",
       "      <td>30.511628</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          SOi     Noi       RSPMi        SPMi        PMi\n",
       "64476  13.000  23.125  111.102041  200.000000  30.511628\n",
       "64477  13.375  23.625  121.204082  211.000000  30.511628\n",
       "64478  13.375  23.625  121.204082  210.000000  30.511628\n",
       "64479  13.625  24.250   95.000000  181.333333  30.511628\n",
       "64480  13.750  24.500  127.265306  214.000000  30.511628"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = data[['SOi','Noi','RSPMi','SPMi','PMi']]\n",
    "Y = data['AQI']\n",
    "Y.head()\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "32eafbcc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SOi</th>\n",
       "      <th>Noi</th>\n",
       "      <th>RSPMi</th>\n",
       "      <th>SPMi</th>\n",
       "      <th>PMi</th>\n",
       "      <th>AQI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>64476</th>\n",
       "      <td>13.000</td>\n",
       "      <td>23.125</td>\n",
       "      <td>111.102041</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>30.511628</td>\n",
       "      <td>200.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64477</th>\n",
       "      <td>13.375</td>\n",
       "      <td>23.625</td>\n",
       "      <td>121.204082</td>\n",
       "      <td>211.000000</td>\n",
       "      <td>30.511628</td>\n",
       "      <td>211.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64478</th>\n",
       "      <td>13.375</td>\n",
       "      <td>23.625</td>\n",
       "      <td>121.204082</td>\n",
       "      <td>210.000000</td>\n",
       "      <td>30.511628</td>\n",
       "      <td>210.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64479</th>\n",
       "      <td>13.625</td>\n",
       "      <td>24.250</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>181.333333</td>\n",
       "      <td>30.511628</td>\n",
       "      <td>181.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64480</th>\n",
       "      <td>13.750</td>\n",
       "      <td>24.500</td>\n",
       "      <td>127.265306</td>\n",
       "      <td>214.000000</td>\n",
       "      <td>30.511628</td>\n",
       "      <td>214.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          SOi     Noi       RSPMi        SPMi        PMi         AQI\n",
       "64476  13.000  23.125  111.102041  200.000000  30.511628  200.000000\n",
       "64477  13.375  23.625  121.204082  211.000000  30.511628  211.000000\n",
       "64478  13.375  23.625  121.204082  210.000000  30.511628  210.000000\n",
       "64479  13.625  24.250   95.000000  181.333333  30.511628  181.333333\n",
       "64480  13.750  24.500  127.265306  214.000000  30.511628  214.000000"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['SOi','Noi','RSPMi','SPMi','PMi','AQI']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "8fe59ff9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corrmat = data[['SOi','Noi','RSPMi','SPMi','PMi','AQI']].corr()\n",
    "f, ax = plt.subplots(figsize = (15, 10))\n",
    "sns.heatmap(corrmat, vmax = 1, square = True, annot = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53fcec86",
   "metadata": {},
   "source": [
    "<h1>MODEL CREATION</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "12961e4c",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X,Y, test_size=0.2,random_state=101)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "91d8cfae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LR = LinearRegression() \n",
    "LR.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "id": "9a81c836",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.323167787756205"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LR.intercept_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "id": "c9be9f08",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.0202495 ,  0.07158195,  0.04952585,  0.95502137, -0.02091404])"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LR.coef_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "069fe53b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([191.22302644, 167.4804519 , 375.16302728, ..., 122.82011369,\n",
       "       153.95691479, 135.67699022])"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LR.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "516f9f4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Predicted Y')"
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "predictions = LR.predict(X_test)\n",
    "plt.scatter(y_test,predictions)\n",
    "plt.xlabel('Y Test')\n",
    "plt.ylabel('Predicted Y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "a6978431",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9794279918263086"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LR.score(X_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "id": "6cf02ce8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R^2_Square:0.98 \n",
      "MSE:12.49 \n"
     ]
    }
   ],
   "source": [
    "print('R^2_Square:%.2f '% r2_score(y_test, predictions))\n",
    "print('MSE:%.2f '% np.sqrt(mean_squared_error(y_test, predictions)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "id": "8916e6bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([176.27744967])"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LR.predict([[9.1,16.3,67,179,223]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "3fb5f538",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Poor'"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "AQI_Range(LR.predict([[9.1,16.3,67,179,223]]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "306e7891",
   "metadata": {},
   "source": [
    "# TEST ON REAL WORLD DATA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "id": "2e4dc444",
   "metadata": {},
   "outputs": [],
   "source": [
    "sample = pd.read_csv(\"city_day.csv\", low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "id": "3eede163",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>City</th>\n",
       "      <th>Date</th>\n",
       "      <th>PM2.5</th>\n",
       "      <th>PM10</th>\n",
       "      <th>NO</th>\n",
       "      <th>NO2</th>\n",
       "      <th>NOx</th>\n",
       "      <th>NH3</th>\n",
       "      <th>CO</th>\n",
       "      <th>SO2</th>\n",
       "      <th>O3</th>\n",
       "      <th>Benzene</th>\n",
       "      <th>Toluene</th>\n",
       "      <th>Xylene</th>\n",
       "      <th>AQI</th>\n",
       "      <th>AQI_Bucket</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2123</th>\n",
       "      <td>Amaravati</td>\n",
       "      <td>2017-11-25</td>\n",
       "      <td>81.40</td>\n",
       "      <td>124.50</td>\n",
       "      <td>1.44</td>\n",
       "      <td>20.50</td>\n",
       "      <td>12.08</td>\n",
       "      <td>10.72</td>\n",
       "      <td>0.12</td>\n",
       "      <td>15.24</td>\n",
       "      <td>127.09</td>\n",
       "      <td>0.20</td>\n",
       "      <td>6.50</td>\n",
       "      <td>0.06</td>\n",
       "      <td>184.0</td>\n",
       "      <td>Moderate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2124</th>\n",
       "      <td>Amaravati</td>\n",
       "      <td>2017-11-26</td>\n",
       "      <td>78.32</td>\n",
       "      <td>129.06</td>\n",
       "      <td>1.26</td>\n",
       "      <td>26.00</td>\n",
       "      <td>14.85</td>\n",
       "      <td>10.28</td>\n",
       "      <td>0.14</td>\n",
       "      <td>26.96</td>\n",
       "      <td>117.44</td>\n",
       "      <td>0.22</td>\n",
       "      <td>7.95</td>\n",
       "      <td>0.08</td>\n",
       "      <td>197.0</td>\n",
       "      <td>Moderate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2125</th>\n",
       "      <td>Amaravati</td>\n",
       "      <td>2017-11-27</td>\n",
       "      <td>88.76</td>\n",
       "      <td>135.32</td>\n",
       "      <td>6.60</td>\n",
       "      <td>30.85</td>\n",
       "      <td>21.77</td>\n",
       "      <td>12.91</td>\n",
       "      <td>0.11</td>\n",
       "      <td>33.59</td>\n",
       "      <td>111.81</td>\n",
       "      <td>0.29</td>\n",
       "      <td>7.63</td>\n",
       "      <td>0.12</td>\n",
       "      <td>198.0</td>\n",
       "      <td>Moderate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2126</th>\n",
       "      <td>Amaravati</td>\n",
       "      <td>2017-11-28</td>\n",
       "      <td>64.18</td>\n",
       "      <td>104.09</td>\n",
       "      <td>2.56</td>\n",
       "      <td>28.07</td>\n",
       "      <td>17.01</td>\n",
       "      <td>11.42</td>\n",
       "      <td>0.09</td>\n",
       "      <td>19.00</td>\n",
       "      <td>138.18</td>\n",
       "      <td>0.17</td>\n",
       "      <td>5.02</td>\n",
       "      <td>0.07</td>\n",
       "      <td>188.0</td>\n",
       "      <td>Moderate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2127</th>\n",
       "      <td>Amaravati</td>\n",
       "      <td>2017-11-29</td>\n",
       "      <td>72.47</td>\n",
       "      <td>114.84</td>\n",
       "      <td>5.23</td>\n",
       "      <td>23.20</td>\n",
       "      <td>16.59</td>\n",
       "      <td>12.25</td>\n",
       "      <td>0.16</td>\n",
       "      <td>10.55</td>\n",
       "      <td>109.74</td>\n",
       "      <td>0.21</td>\n",
       "      <td>4.71</td>\n",
       "      <td>0.08</td>\n",
       "      <td>173.0</td>\n",
       "      <td>Moderate</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           City        Date  PM2.5    PM10    NO    NO2    NOx    NH3    CO  \\\n",
       "2123  Amaravati  2017-11-25  81.40  124.50  1.44  20.50  12.08  10.72  0.12   \n",
       "2124  Amaravati  2017-11-26  78.32  129.06  1.26  26.00  14.85  10.28  0.14   \n",
       "2125  Amaravati  2017-11-27  88.76  135.32  6.60  30.85  21.77  12.91  0.11   \n",
       "2126  Amaravati  2017-11-28  64.18  104.09  2.56  28.07  17.01  11.42  0.09   \n",
       "2127  Amaravati  2017-11-29  72.47  114.84  5.23  23.20  16.59  12.25  0.16   \n",
       "\n",
       "        SO2      O3  Benzene  Toluene  Xylene    AQI AQI_Bucket  \n",
       "2123  15.24  127.09     0.20     6.50    0.06  184.0   Moderate  \n",
       "2124  26.96  117.44     0.22     7.95    0.08  197.0   Moderate  \n",
       "2125  33.59  111.81     0.29     7.63    0.12  198.0   Moderate  \n",
       "2126  19.00  138.18     0.17     5.02    0.07  188.0   Moderate  \n",
       "2127  10.55  109.74     0.21     4.71    0.08  173.0   Moderate  "
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample=sample.dropna()\n",
    "sample.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "id": "541e51ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>City</th>\n",
       "      <th>Date</th>\n",
       "      <th>PM2.5</th>\n",
       "      <th>PM10</th>\n",
       "      <th>NO</th>\n",
       "      <th>NO2</th>\n",
       "      <th>NOx</th>\n",
       "      <th>NH3</th>\n",
       "      <th>CO</th>\n",
       "      <th>SO2</th>\n",
       "      <th>O3</th>\n",
       "      <th>Benzene</th>\n",
       "      <th>Toluene</th>\n",
       "      <th>Xylene</th>\n",
       "      <th>AQI</th>\n",
       "      <th>AQI_Bucket</th>\n",
       "      <th>rspm</th>\n",
       "      <th>AQI_RANGE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2123</th>\n",
       "      <td>Amaravati</td>\n",
       "      <td>2017-11-25</td>\n",
       "      <td>81.40</td>\n",
       "      <td>124.50</td>\n",
       "      <td>1.44</td>\n",
       "      <td>20.50</td>\n",
       "      <td>12.08</td>\n",
       "      <td>10.72</td>\n",
       "      <td>0.12</td>\n",
       "      <td>15.24</td>\n",
       "      <td>127.09</td>\n",
       "      <td>0.20</td>\n",
       "      <td>6.50</td>\n",
       "      <td>0.06</td>\n",
       "      <td>184.0</td>\n",
       "      <td>Moderate</td>\n",
       "      <td>158.21</td>\n",
       "      <td>Poor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2124</th>\n",
       "      <td>Amaravati</td>\n",
       "      <td>2017-11-26</td>\n",
       "      <td>78.32</td>\n",
       "      <td>129.06</td>\n",
       "      <td>1.26</td>\n",
       "      <td>26.00</td>\n",
       "      <td>14.85</td>\n",
       "      <td>10.28</td>\n",
       "      <td>0.14</td>\n",
       "      <td>26.96</td>\n",
       "      <td>117.44</td>\n",
       "      <td>0.22</td>\n",
       "      <td>7.95</td>\n",
       "      <td>0.08</td>\n",
       "      <td>197.0</td>\n",
       "      <td>Moderate</td>\n",
       "      <td>152.22</td>\n",
       "      <td>Poor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2125</th>\n",
       "      <td>Amaravati</td>\n",
       "      <td>2017-11-27</td>\n",
       "      <td>88.76</td>\n",
       "      <td>135.32</td>\n",
       "      <td>6.60</td>\n",
       "      <td>30.85</td>\n",
       "      <td>21.77</td>\n",
       "      <td>12.91</td>\n",
       "      <td>0.11</td>\n",
       "      <td>33.59</td>\n",
       "      <td>111.81</td>\n",
       "      <td>0.29</td>\n",
       "      <td>7.63</td>\n",
       "      <td>0.12</td>\n",
       "      <td>198.0</td>\n",
       "      <td>Moderate</td>\n",
       "      <td>161.24</td>\n",
       "      <td>Poor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2126</th>\n",
       "      <td>Amaravati</td>\n",
       "      <td>2017-11-28</td>\n",
       "      <td>64.18</td>\n",
       "      <td>104.09</td>\n",
       "      <td>2.56</td>\n",
       "      <td>28.07</td>\n",
       "      <td>17.01</td>\n",
       "      <td>11.42</td>\n",
       "      <td>0.09</td>\n",
       "      <td>19.00</td>\n",
       "      <td>138.18</td>\n",
       "      <td>0.17</td>\n",
       "      <td>5.02</td>\n",
       "      <td>0.07</td>\n",
       "      <td>188.0</td>\n",
       "      <td>Moderate</td>\n",
       "      <td>174.52</td>\n",
       "      <td>Poor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2127</th>\n",
       "      <td>Amaravati</td>\n",
       "      <td>2017-11-29</td>\n",
       "      <td>72.47</td>\n",
       "      <td>114.84</td>\n",
       "      <td>5.23</td>\n",
       "      <td>23.20</td>\n",
       "      <td>16.59</td>\n",
       "      <td>12.25</td>\n",
       "      <td>0.16</td>\n",
       "      <td>10.55</td>\n",
       "      <td>109.74</td>\n",
       "      <td>0.21</td>\n",
       "      <td>4.71</td>\n",
       "      <td>0.08</td>\n",
       "      <td>173.0</td>\n",
       "      <td>Moderate</td>\n",
       "      <td>148.97</td>\n",
       "      <td>Poor</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29525</th>\n",
       "      <td>Visakhapatnam</td>\n",
       "      <td>2020-06-26</td>\n",
       "      <td>7.63</td>\n",
       "      <td>32.27</td>\n",
       "      <td>5.91</td>\n",
       "      <td>23.27</td>\n",
       "      <td>17.19</td>\n",
       "      <td>11.15</td>\n",
       "      <td>0.46</td>\n",
       "      <td>6.87</td>\n",
       "      <td>19.90</td>\n",
       "      <td>1.45</td>\n",
       "      <td>5.37</td>\n",
       "      <td>1.45</td>\n",
       "      <td>47.0</td>\n",
       "      <td>Good</td>\n",
       "      <td>62.88</td>\n",
       "      <td>Good</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29526</th>\n",
       "      <td>Visakhapatnam</td>\n",
       "      <td>2020-06-27</td>\n",
       "      <td>15.02</td>\n",
       "      <td>50.94</td>\n",
       "      <td>7.68</td>\n",
       "      <td>25.06</td>\n",
       "      <td>19.54</td>\n",
       "      <td>12.47</td>\n",
       "      <td>0.47</td>\n",
       "      <td>8.55</td>\n",
       "      <td>23.30</td>\n",
       "      <td>2.24</td>\n",
       "      <td>12.07</td>\n",
       "      <td>0.73</td>\n",
       "      <td>41.0</td>\n",
       "      <td>Good</td>\n",
       "      <td>78.50</td>\n",
       "      <td>Good</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29527</th>\n",
       "      <td>Visakhapatnam</td>\n",
       "      <td>2020-06-28</td>\n",
       "      <td>24.38</td>\n",
       "      <td>74.09</td>\n",
       "      <td>3.42</td>\n",
       "      <td>26.06</td>\n",
       "      <td>16.53</td>\n",
       "      <td>11.99</td>\n",
       "      <td>0.52</td>\n",
       "      <td>12.72</td>\n",
       "      <td>30.14</td>\n",
       "      <td>0.74</td>\n",
       "      <td>2.21</td>\n",
       "      <td>0.38</td>\n",
       "      <td>70.0</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>65.93</td>\n",
       "      <td>Moderate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29528</th>\n",
       "      <td>Visakhapatnam</td>\n",
       "      <td>2020-06-29</td>\n",
       "      <td>22.91</td>\n",
       "      <td>65.73</td>\n",
       "      <td>3.45</td>\n",
       "      <td>29.53</td>\n",
       "      <td>18.33</td>\n",
       "      <td>10.71</td>\n",
       "      <td>0.48</td>\n",
       "      <td>8.42</td>\n",
       "      <td>30.96</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>68.0</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>63.95</td>\n",
       "      <td>Moderate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29529</th>\n",
       "      <td>Visakhapatnam</td>\n",
       "      <td>2020-06-30</td>\n",
       "      <td>16.64</td>\n",
       "      <td>49.97</td>\n",
       "      <td>4.05</td>\n",
       "      <td>29.26</td>\n",
       "      <td>18.80</td>\n",
       "      <td>10.03</td>\n",
       "      <td>0.52</td>\n",
       "      <td>9.84</td>\n",
       "      <td>28.30</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>54.0</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>61.70</td>\n",
       "      <td>Moderate</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6236 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                City        Date  PM2.5    PM10    NO    NO2    NOx    NH3  \\\n",
       "2123       Amaravati  2017-11-25  81.40  124.50  1.44  20.50  12.08  10.72   \n",
       "2124       Amaravati  2017-11-26  78.32  129.06  1.26  26.00  14.85  10.28   \n",
       "2125       Amaravati  2017-11-27  88.76  135.32  6.60  30.85  21.77  12.91   \n",
       "2126       Amaravati  2017-11-28  64.18  104.09  2.56  28.07  17.01  11.42   \n",
       "2127       Amaravati  2017-11-29  72.47  114.84  5.23  23.20  16.59  12.25   \n",
       "...              ...         ...    ...     ...   ...    ...    ...    ...   \n",
       "29525  Visakhapatnam  2020-06-26   7.63   32.27  5.91  23.27  17.19  11.15   \n",
       "29526  Visakhapatnam  2020-06-27  15.02   50.94  7.68  25.06  19.54  12.47   \n",
       "29527  Visakhapatnam  2020-06-28  24.38   74.09  3.42  26.06  16.53  11.99   \n",
       "29528  Visakhapatnam  2020-06-29  22.91   65.73  3.45  29.53  18.33  10.71   \n",
       "29529  Visakhapatnam  2020-06-30  16.64   49.97  4.05  29.26  18.80  10.03   \n",
       "\n",
       "         CO    SO2      O3  Benzene  Toluene  Xylene    AQI    AQI_Bucket  \\\n",
       "2123   0.12  15.24  127.09     0.20     6.50    0.06  184.0      Moderate   \n",
       "2124   0.14  26.96  117.44     0.22     7.95    0.08  197.0      Moderate   \n",
       "2125   0.11  33.59  111.81     0.29     7.63    0.12  198.0      Moderate   \n",
       "2126   0.09  19.00  138.18     0.17     5.02    0.07  188.0      Moderate   \n",
       "2127   0.16  10.55  109.74     0.21     4.71    0.08  173.0      Moderate   \n",
       "...     ...    ...     ...      ...      ...     ...    ...           ...   \n",
       "29525  0.46   6.87   19.90     1.45     5.37    1.45   47.0          Good   \n",
       "29526  0.47   8.55   23.30     2.24    12.07    0.73   41.0          Good   \n",
       "29527  0.52  12.72   30.14     0.74     2.21    0.38   70.0  Satisfactory   \n",
       "29528  0.48   8.42   30.96     0.01     0.01    0.00   68.0  Satisfactory   \n",
       "29529  0.52   9.84   28.30     0.00     0.00    0.00   54.0  Satisfactory   \n",
       "\n",
       "         rspm AQI_RANGE  \n",
       "2123   158.21      Poor  \n",
       "2124   152.22      Poor  \n",
       "2125   161.24      Poor  \n",
       "2126   174.52      Poor  \n",
       "2127   148.97      Poor  \n",
       "...       ...       ...  \n",
       "29525   62.88      Good  \n",
       "29526   78.50      Good  \n",
       "29527   65.93  Moderate  \n",
       "29528   63.95  Moderate  \n",
       "29529   61.70  Moderate  \n",
       "\n",
       "[6236 rows x 18 columns]"
      ]
     },
     "execution_count": 223,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum_column = sample[\"CO\"] + sample[\"NO\"]+ sample[\"O3\"] + sample[\"Benzene\"]+sample[\"Xylene\"]+sample[\"Toluene\"] +sample[\"NOx\"]+sample[\"NH3\"]\n",
    "sample[\"rspm\"] = sum_column\n",
    "sample['AQI_RANGE']=sample['AQI'].apply(AQI_Range)\n",
    "sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "id": "7c2556c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([132.132442  , 136.88611975, 143.57436074, ...,  80.95905513,\n",
       "        73.06907548,  58.04706376])"
      ]
     },
     "execution_count": 225,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LR.predict(sample[['SO2','NO2','rspm','PM10','PM2.5']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "id": "90386286",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "plt.scatter(LR.predict(sample[['SO2','NO2','rspm','PM10','PM2.5']]),sample.AQI, c='crimson')\n",
    "plt.plot(sample['AQI'],sample.AQI, c='blue')\n",
    "plt.title(\"Actual vs Predicted Values\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "id": "56194ced",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8293503540323255"
      ]
     },
     "execution_count": 231,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LR.score(sample[['SO2','NO2','rspm','PM10','PM2.5']],sample['AQI'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "40bb094a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}