air and water quality .ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "9fbb544a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.cluster import KMeans\n",
    "import pandas as p\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "5c704fa6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "e07c9a86",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=p.read_csv(\"C:\\\\Users\\\\User\\\\Desktop\\\\Book1.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "e2cc00bb",
   "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>AirQuality</th>\n",
       "      <th>WaterPollution</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Agra</td>\n",
       "      <td>23.611111</td>\n",
       "      <td>69.827586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Amritsar</td>\n",
       "      <td>21.568627</td>\n",
       "      <td>76.704545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bhopal</td>\n",
       "      <td>48.928571</td>\n",
       "      <td>67.307692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Che</td>\n",
       "      <td>35.884354</td>\n",
       "      <td>73.070175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Delhi</td>\n",
       "      <td>11.844136</td>\n",
       "      <td>77.416799</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       City   AirQuality   WaterPollution\n",
       "0      Agra    23.611111        69.827586\n",
       "1  Amritsar    21.568627        76.704545\n",
       "2    Bhopal    48.928571        67.307692\n",
       "3       Che    35.884354        73.070175\n",
       "4     Delhi    11.844136        77.416799"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "9a333111",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['City', ' AirQuality', ' WaterPollution'], dtype='object')"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "6bae687e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Scatter Plot of Air Pollution')"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(df['City'],df[' AirQuality'])\n",
    "plt.title('Scatter Plot of Air Pollution')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "c5620bf5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aqi=df[' AirQuality']\n",
    "city=df['City']\n",
    "plt.bar(city,aqi)\n",
    "plt.xlabel('STATES')\n",
    "plt.ylabel('AQI')\n",
    "plt.title('AIR QUALITY INDEX')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "cbb13905",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Scater plot of water pollution')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(df['City'],df[' WaterPollution'])\n",
    "plt.title('Scater plot of water pollution')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "cbeb5c79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wqi=df[' WaterPollution']\n",
    "city=df['City']\n",
    "\n",
    "plt.bar(city,wqi)\n",
    "plt.xlabel('STATES')\n",
    "plt.ylabel('waterpollution')\n",
    "plt.title('water pollution')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "d1efe74b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x264efe57fa0>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df)\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "48363c2b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wqi.plot(kind = 'area')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "53cdb5ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aqi.plot(kind = 'area')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3c2c5bc7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}