Air Quality Analysis Reviewed.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#AIR QUALITY ANALYSIS WITH OPEN DATA"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "There is a large body of research on the impact of Air pollution on human health and studies have conclusively shown that long-term exposure to Particulate matter(PM) increases mortality and morbidity and can lead to respiratory as well as cardiovascular diseases.\n"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "AIR QUALITY INDEX\n",
    "It is an index for reporting daily air quality. It tells how clean or polluted the air is, and what associated health effects might be a concern for people.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import Libraries for Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Loading and Reviewing Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "airquality = pd.read_csv('./datathon18-master/air_quality.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1595, 13)\n"
     ]
    }
   ],
   "source": [
    "print(airquality.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>date</th>\n",
       "      <th>parameter</th>\n",
       "      <th>location</th>\n",
       "      <th>value</th>\n",
       "      <th>unit</th>\n",
       "      <th>city</th>\n",
       "      <th>attribution</th>\n",
       "      <th>averagingperiod</th>\n",
       "      <th>coordinates</th>\n",
       "      <th>country</th>\n",
       "      <th>sourcename</th>\n",
       "      <th>sourcetype</th>\n",
       "      <th>mobile</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{utc=2006-11-13T06:42:00.000Z, local=2006-11-1...</td>\n",
       "      <td>pm25</td>\n",
       "      <td>JTA - Jamestown</td>\n",
       "      <td>115.56</td>\n",
       "      <td>µg/m³</td>\n",
       "      <td>Accra</td>\n",
       "      <td>[{name=Dr. Raphael E. Arku and Colleagues, url...</td>\n",
       "      <td>{unit=hours, value=48.0}</td>\n",
       "      <td>{latitude=5.540114, longitude=-0.2103972}</td>\n",
       "      <td>GH</td>\n",
       "      <td>Dr. Raphael E. Arku and Colleagues</td>\n",
       "      <td>research</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>{utc=2006-11-13T06:42:00.000Z, local=2006-11-1...</td>\n",
       "      <td>pm10</td>\n",
       "      <td>JTA - Jamestown</td>\n",
       "      <td>161.09</td>\n",
       "      <td>µg/m³</td>\n",
       "      <td>Accra</td>\n",
       "      <td>[{name=Dr. Raphael E. Arku and Colleagues, url...</td>\n",
       "      <td>{unit=hours, value=48.0}</td>\n",
       "      <td>{latitude=5.540114, longitude=-0.2103972}</td>\n",
       "      <td>GH</td>\n",
       "      <td>Dr. Raphael E. Arku and Colleagues</td>\n",
       "      <td>research</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>{utc=2006-11-13T07:13:00.000Z, local=2006-11-1...</td>\n",
       "      <td>pm25</td>\n",
       "      <td>JTC - Jamestown</td>\n",
       "      <td>104.80</td>\n",
       "      <td>µg/m³</td>\n",
       "      <td>Accra</td>\n",
       "      <td>[{name=Dr. Raphael E. Arku and Colleagues, url...</td>\n",
       "      <td>{unit=hours, value=48.0}</td>\n",
       "      <td>{latitude=5.5349193, longitude=-0.2124056}</td>\n",
       "      <td>GH</td>\n",
       "      <td>Dr. Raphael E. Arku and Colleagues</td>\n",
       "      <td>research</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>{utc=2006-11-13T07:13:00.000Z, local=2006-11-1...</td>\n",
       "      <td>pm10</td>\n",
       "      <td>JTC - Jamestown</td>\n",
       "      <td>187.21</td>\n",
       "      <td>µg/m³</td>\n",
       "      <td>Accra</td>\n",
       "      <td>[{name=Dr. Raphael E. Arku and Colleagues, url...</td>\n",
       "      <td>{unit=hours, value=48.0}</td>\n",
       "      <td>{latitude=5.5349193, longitude=-0.2124056}</td>\n",
       "      <td>GH</td>\n",
       "      <td>Dr. Raphael E. Arku and Colleagues</td>\n",
       "      <td>research</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>{utc=2006-11-13T07:31:00.000Z, local=2006-11-1...</td>\n",
       "      <td>pm25</td>\n",
       "      <td>JTT - Jamestown</td>\n",
       "      <td>86.29</td>\n",
       "      <td>µg/m³</td>\n",
       "      <td>Accra</td>\n",
       "      <td>[{name=Dr. Raphael E. Arku and Colleagues, url...</td>\n",
       "      <td>{unit=hours, value=48.0}</td>\n",
       "      <td>{latitude=5.5334554, longitude=-0.2129917}</td>\n",
       "      <td>GH</td>\n",
       "      <td>Dr. Raphael E. Arku and Colleagues</td>\n",
       "      <td>research</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                date parameter  \\\n",
       "0  {utc=2006-11-13T06:42:00.000Z, local=2006-11-1...      pm25   \n",
       "1  {utc=2006-11-13T06:42:00.000Z, local=2006-11-1...      pm10   \n",
       "2  {utc=2006-11-13T07:13:00.000Z, local=2006-11-1...      pm25   \n",
       "3  {utc=2006-11-13T07:13:00.000Z, local=2006-11-1...      pm10   \n",
       "4  {utc=2006-11-13T07:31:00.000Z, local=2006-11-1...      pm25   \n",
       "\n",
       "          location   value   unit   city  \\\n",
       "0  JTA - Jamestown  115.56  µg/m³  Accra   \n",
       "1  JTA - Jamestown  161.09  µg/m³  Accra   \n",
       "2  JTC - Jamestown  104.80  µg/m³  Accra   \n",
       "3  JTC - Jamestown  187.21  µg/m³  Accra   \n",
       "4  JTT - Jamestown   86.29  µg/m³  Accra   \n",
       "\n",
       "                                         attribution  \\\n",
       "0  [{name=Dr. Raphael E. Arku and Colleagues, url...   \n",
       "1  [{name=Dr. Raphael E. Arku and Colleagues, url...   \n",
       "2  [{name=Dr. Raphael E. Arku and Colleagues, url...   \n",
       "3  [{name=Dr. Raphael E. Arku and Colleagues, url...   \n",
       "4  [{name=Dr. Raphael E. Arku and Colleagues, url...   \n",
       "\n",
       "            averagingperiod                                 coordinates  \\\n",
       "0  {unit=hours, value=48.0}   {latitude=5.540114, longitude=-0.2103972}   \n",
       "1  {unit=hours, value=48.0}   {latitude=5.540114, longitude=-0.2103972}   \n",
       "2  {unit=hours, value=48.0}  {latitude=5.5349193, longitude=-0.2124056}   \n",
       "3  {unit=hours, value=48.0}  {latitude=5.5349193, longitude=-0.2124056}   \n",
       "4  {unit=hours, value=48.0}  {latitude=5.5334554, longitude=-0.2129917}   \n",
       "\n",
       "  country                          sourcename sourcetype  mobile  \n",
       "0      GH  Dr. Raphael E. Arku and Colleagues   research   False  \n",
       "1      GH  Dr. Raphael E. Arku and Colleagues   research   False  \n",
       "2      GH  Dr. Raphael E. Arku and Colleagues   research   False  \n",
       "3      GH  Dr. Raphael E. Arku and Colleagues   research   False  \n",
       "4      GH  Dr. Raphael E. Arku and Colleagues   research   False  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "airquality.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>parameter</th>\n",
       "      <th>location</th>\n",
       "      <th>value</th>\n",
       "      <th>unit</th>\n",
       "      <th>city</th>\n",
       "      <th>attribution</th>\n",
       "      <th>averagingperiod</th>\n",
       "      <th>coordinates</th>\n",
       "      <th>country</th>\n",
       "      <th>sourcename</th>\n",
       "      <th>sourcetype</th>\n",
       "      <th>mobile</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1590</th>\n",
       "      <td>{utc=2008-08-17T07:20:00.000Z, local=2008-08-1...</td>\n",
       "      <td>pm25</td>\n",
       "      <td>ELA - East Legon</td>\n",
       "      <td>17.92</td>\n",
       "      <td>µg/m³</td>\n",
       "      <td>Accra</td>\n",
       "      <td>[{name=Dr. Raphael E. Arku and Colleagues, url...</td>\n",
       "      <td>{unit=hours, value=49.0}</td>\n",
       "      <td>{latitude=5.640814, longitude=-0.1579063}</td>\n",
       "      <td>GH</td>\n",
       "      <td>Dr. Raphael E. Arku and Colleagues</td>\n",
       "      <td>research</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1591</th>\n",
       "      <td>{utc=2008-08-17T07:20:00.000Z, local=2008-08-1...</td>\n",
       "      <td>pm10</td>\n",
       "      <td>ELA - East Legon</td>\n",
       "      <td>34.95</td>\n",
       "      <td>µg/m³</td>\n",
       "      <td>Accra</td>\n",
       "      <td>[{name=Dr. Raphael E. Arku and Colleagues, url...</td>\n",
       "      <td>{unit=hours, value=49.0}</td>\n",
       "      <td>{latitude=5.640814, longitude=-0.1579063}</td>\n",
       "      <td>GH</td>\n",
       "      <td>Dr. Raphael E. Arku and Colleagues</td>\n",
       "      <td>research</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1592</th>\n",
       "      <td>{utc=2008-08-17T07:51:00.000Z, local=2008-08-1...</td>\n",
       "      <td>pm10</td>\n",
       "      <td>NMT - Nima</td>\n",
       "      <td>56.05</td>\n",
       "      <td>µg/m³</td>\n",
       "      <td>Accra</td>\n",
       "      <td>[{name=Dr. Raphael E. Arku and Colleagues, url...</td>\n",
       "      <td>{unit=hours, value=48.0}</td>\n",
       "      <td>{latitude=5.58165, longitude=-0.19898}</td>\n",
       "      <td>GH</td>\n",
       "      <td>Dr. Raphael E. Arku and Colleagues</td>\n",
       "      <td>research</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1593</th>\n",
       "      <td>{utc=2008-08-17T08:08:00.000Z, local=2008-08-1...</td>\n",
       "      <td>pm25</td>\n",
       "      <td>NMA - Nima</td>\n",
       "      <td>24.66</td>\n",
       "      <td>µg/m³</td>\n",
       "      <td>Accra</td>\n",
       "      <td>[{name=Dr. Raphael E. Arku and Colleagues, url...</td>\n",
       "      <td>{unit=hours, value=47.0}</td>\n",
       "      <td>{latitude=5.58389, longitude=-0.19968}</td>\n",
       "      <td>GH</td>\n",
       "      <td>Dr. Raphael E. Arku and Colleagues</td>\n",
       "      <td>research</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1594</th>\n",
       "      <td>{utc=2008-08-17T08:08:00.000Z, local=2008-08-1...</td>\n",
       "      <td>pm10</td>\n",
       "      <td>NMA - Nima</td>\n",
       "      <td>43.61</td>\n",
       "      <td>µg/m³</td>\n",
       "      <td>Accra</td>\n",
       "      <td>[{name=Dr. Raphael E. Arku and Colleagues, url...</td>\n",
       "      <td>{unit=hours, value=47.0}</td>\n",
       "      <td>{latitude=5.58389, longitude=-0.19968}</td>\n",
       "      <td>GH</td>\n",
       "      <td>Dr. Raphael E. Arku and Colleagues</td>\n",
       "      <td>research</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   date parameter  \\\n",
       "1590  {utc=2008-08-17T07:20:00.000Z, local=2008-08-1...      pm25   \n",
       "1591  {utc=2008-08-17T07:20:00.000Z, local=2008-08-1...      pm10   \n",
       "1592  {utc=2008-08-17T07:51:00.000Z, local=2008-08-1...      pm10   \n",
       "1593  {utc=2008-08-17T08:08:00.000Z, local=2008-08-1...      pm25   \n",
       "1594  {utc=2008-08-17T08:08:00.000Z, local=2008-08-1...      pm10   \n",
       "\n",
       "              location  value   unit   city  \\\n",
       "1590  ELA - East Legon  17.92  µg/m³  Accra   \n",
       "1591  ELA - East Legon  34.95  µg/m³  Accra   \n",
       "1592        NMT - Nima  56.05  µg/m³  Accra   \n",
       "1593        NMA - Nima  24.66  µg/m³  Accra   \n",
       "1594        NMA - Nima  43.61  µg/m³  Accra   \n",
       "\n",
       "                                            attribution  \\\n",
       "1590  [{name=Dr. Raphael E. Arku and Colleagues, url...   \n",
       "1591  [{name=Dr. Raphael E. Arku and Colleagues, url...   \n",
       "1592  [{name=Dr. Raphael E. Arku and Colleagues, url...   \n",
       "1593  [{name=Dr. Raphael E. Arku and Colleagues, url...   \n",
       "1594  [{name=Dr. Raphael E. Arku and Colleagues, url...   \n",
       "\n",
       "               averagingperiod                                coordinates  \\\n",
       "1590  {unit=hours, value=49.0}  {latitude=5.640814, longitude=-0.1579063}   \n",
       "1591  {unit=hours, value=49.0}  {latitude=5.640814, longitude=-0.1579063}   \n",
       "1592  {unit=hours, value=48.0}     {latitude=5.58165, longitude=-0.19898}   \n",
       "1593  {unit=hours, value=47.0}     {latitude=5.58389, longitude=-0.19968}   \n",
       "1594  {unit=hours, value=47.0}     {latitude=5.58389, longitude=-0.19968}   \n",
       "\n",
       "     country                          sourcename sourcetype  mobile  \n",
       "1590      GH  Dr. Raphael E. Arku and Colleagues   research   False  \n",
       "1591      GH  Dr. Raphael E. Arku and Colleagues   research   False  \n",
       "1592      GH  Dr. Raphael E. Arku and Colleagues   research   False  \n",
       "1593      GH  Dr. Raphael E. Arku and Colleagues   research   False  \n",
       "1594      GH  Dr. Raphael E. Arku and Colleagues   research   False  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "airquality.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1595.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>101.386320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>184.735572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>33.315000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>55.430000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>103.050000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4142.900000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             value\n",
       "count  1595.000000\n",
       "mean    101.386320\n",
       "std     184.735572\n",
       "min       0.000000\n",
       "25%      33.315000\n",
       "50%      55.430000\n",
       "75%     103.050000\n",
       "max    4142.900000"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "airquality.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "mobile\n",
       "False    1595\n",
       "dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "airquality.groupby('mobile').size()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Checking for Null Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "airquality.isnull().values.any()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data Types and Graphs for Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ORION\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2b9486ef470>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(airquality.value)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "        Correlation of Numerical Variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>value</th>\n",
       "      <th>mobile</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>value</th>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mobile</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        value  mobile\n",
       "value     1.0     NaN\n",
       "mobile    NaN     NaN"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "airquality.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Ff"
   ]
  }
 ],
 "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}