Project 1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center> <h1>Project 1 </h1>\n",
    "<h2>Performing Analysis of Meteorological Data - By Abhishek Tiwari</h2></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<strong>Objective:</strong> Perform Data Cleaning, Perform Analysis for Testing the (given) Hypothesisand finally put-forth your conclusion by writing a blog article.\n",
    "\n",
    "Data Source : https://www.kaggle.com/muthuj7/weather-dataset\n",
    "\n",
    "The Meteorological Dataset Consists of:\n",
    "* Total Number of Data Point: 96453\n",
    "* Total Number of Attribute/Columns in data set is 11.\n",
    "\n",
    "Attribute Information:\n",
    "1. Formatted Date \n",
    "2. Summary\t\n",
    "3. Precip Type\n",
    "4. Temperature (C)\n",
    "5. Apparent Temperature (C)\n",
    "6. Humidity\n",
    "7. Wind Speed (km/h)\n",
    "8. Wind Bearing (degrees)\n",
    "9. Visibility (km)\n",
    "10. Pressure (millibars)\n",
    "11. Daily Summary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Python Library \n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "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>Formatted Date</th>\n",
       "      <th>Summary</th>\n",
       "      <th>Precip Type</th>\n",
       "      <th>Temperature (C)</th>\n",
       "      <th>Apparent Temperature (C)</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>Wind Speed (km/h)</th>\n",
       "      <th>Wind Bearing (degrees)</th>\n",
       "      <th>Visibility (km)</th>\n",
       "      <th>Pressure (millibars)</th>\n",
       "      <th>Daily Summary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2006-04-01 00:00:00.000 +0200</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>9.472222</td>\n",
       "      <td>7.388889</td>\n",
       "      <td>0.89</td>\n",
       "      <td>14.1197</td>\n",
       "      <td>251</td>\n",
       "      <td>15.8263</td>\n",
       "      <td>1015.13</td>\n",
       "      <td>Partly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2006-04-01 01:00:00.000 +0200</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>9.355556</td>\n",
       "      <td>7.227778</td>\n",
       "      <td>0.86</td>\n",
       "      <td>14.2646</td>\n",
       "      <td>259</td>\n",
       "      <td>15.8263</td>\n",
       "      <td>1015.63</td>\n",
       "      <td>Partly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2006-04-01 02:00:00.000 +0200</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>9.377778</td>\n",
       "      <td>9.377778</td>\n",
       "      <td>0.89</td>\n",
       "      <td>3.9284</td>\n",
       "      <td>204</td>\n",
       "      <td>14.9569</td>\n",
       "      <td>1015.94</td>\n",
       "      <td>Partly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2006-04-01 03:00:00.000 +0200</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>8.288889</td>\n",
       "      <td>5.944444</td>\n",
       "      <td>0.83</td>\n",
       "      <td>14.1036</td>\n",
       "      <td>269</td>\n",
       "      <td>15.8263</td>\n",
       "      <td>1016.41</td>\n",
       "      <td>Partly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2006-04-01 04:00:00.000 +0200</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>8.755556</td>\n",
       "      <td>6.977778</td>\n",
       "      <td>0.83</td>\n",
       "      <td>11.0446</td>\n",
       "      <td>259</td>\n",
       "      <td>15.8263</td>\n",
       "      <td>1016.51</td>\n",
       "      <td>Partly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2006-04-01 05:00:00.000 +0200</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>9.222222</td>\n",
       "      <td>7.111111</td>\n",
       "      <td>0.85</td>\n",
       "      <td>13.9587</td>\n",
       "      <td>258</td>\n",
       "      <td>14.9569</td>\n",
       "      <td>1016.66</td>\n",
       "      <td>Partly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2006-04-01 06:00:00.000 +0200</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>7.733333</td>\n",
       "      <td>5.522222</td>\n",
       "      <td>0.95</td>\n",
       "      <td>12.3648</td>\n",
       "      <td>259</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1016.72</td>\n",
       "      <td>Partly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2006-04-01 07:00:00.000 +0200</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>8.772222</td>\n",
       "      <td>6.527778</td>\n",
       "      <td>0.89</td>\n",
       "      <td>14.1519</td>\n",
       "      <td>260</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1016.84</td>\n",
       "      <td>Partly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2006-04-01 08:00:00.000 +0200</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>10.822222</td>\n",
       "      <td>10.822222</td>\n",
       "      <td>0.82</td>\n",
       "      <td>11.3183</td>\n",
       "      <td>259</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1017.37</td>\n",
       "      <td>Partly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2006-04-01 09:00:00.000 +0200</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>13.772222</td>\n",
       "      <td>13.772222</td>\n",
       "      <td>0.72</td>\n",
       "      <td>12.5258</td>\n",
       "      <td>279</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1017.22</td>\n",
       "      <td>Partly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Formatted Date        Summary Precip Type  Temperature (C)  \\\n",
       "0  2006-04-01 00:00:00.000 +0200  Partly Cloudy        rain         9.472222   \n",
       "1  2006-04-01 01:00:00.000 +0200  Partly Cloudy        rain         9.355556   \n",
       "2  2006-04-01 02:00:00.000 +0200  Mostly Cloudy        rain         9.377778   \n",
       "3  2006-04-01 03:00:00.000 +0200  Partly Cloudy        rain         8.288889   \n",
       "4  2006-04-01 04:00:00.000 +0200  Mostly Cloudy        rain         8.755556   \n",
       "5  2006-04-01 05:00:00.000 +0200  Partly Cloudy        rain         9.222222   \n",
       "6  2006-04-01 06:00:00.000 +0200  Partly Cloudy        rain         7.733333   \n",
       "7  2006-04-01 07:00:00.000 +0200  Partly Cloudy        rain         8.772222   \n",
       "8  2006-04-01 08:00:00.000 +0200  Partly Cloudy        rain        10.822222   \n",
       "9  2006-04-01 09:00:00.000 +0200  Partly Cloudy        rain        13.772222   \n",
       "\n",
       "   Apparent Temperature (C)  Humidity  Wind Speed (km/h)  \\\n",
       "0                  7.388889      0.89            14.1197   \n",
       "1                  7.227778      0.86            14.2646   \n",
       "2                  9.377778      0.89             3.9284   \n",
       "3                  5.944444      0.83            14.1036   \n",
       "4                  6.977778      0.83            11.0446   \n",
       "5                  7.111111      0.85            13.9587   \n",
       "6                  5.522222      0.95            12.3648   \n",
       "7                  6.527778      0.89            14.1519   \n",
       "8                 10.822222      0.82            11.3183   \n",
       "9                 13.772222      0.72            12.5258   \n",
       "\n",
       "   Wind Bearing (degrees)  Visibility (km)  Pressure (millibars)  \\\n",
       "0                     251          15.8263               1015.13   \n",
       "1                     259          15.8263               1015.63   \n",
       "2                     204          14.9569               1015.94   \n",
       "3                     269          15.8263               1016.41   \n",
       "4                     259          15.8263               1016.51   \n",
       "5                     258          14.9569               1016.66   \n",
       "6                     259           9.9820               1016.72   \n",
       "7                     260           9.9820               1016.84   \n",
       "8                     259           9.9820               1017.37   \n",
       "9                     279           9.9820               1017.22   \n",
       "\n",
       "                       Daily Summary  \n",
       "0  Partly cloudy throughout the day.  \n",
       "1  Partly cloudy throughout the day.  \n",
       "2  Partly cloudy throughout the day.  \n",
       "3  Partly cloudy throughout the day.  \n",
       "4  Partly cloudy throughout the day.  \n",
       "5  Partly cloudy throughout the day.  \n",
       "6  Partly cloudy throughout the day.  \n",
       "7  Partly cloudy throughout the day.  \n",
       "8  Partly cloudy throughout the day.  \n",
       "9  Partly cloudy throughout the day.  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Reading weatherHistory.csv file\n",
    "df = pd.read_csv(\"weatherHistory.csv\")\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(96453, 11)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#shape of Dataset\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "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>Temperature (C)</th>\n",
       "      <th>Apparent Temperature (C)</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>Wind Speed (km/h)</th>\n",
       "      <th>Wind Bearing (degrees)</th>\n",
       "      <th>Visibility (km)</th>\n",
       "      <th>Pressure (millibars)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>96453.000000</td>\n",
       "      <td>96453.000000</td>\n",
       "      <td>96453.000000</td>\n",
       "      <td>96453.000000</td>\n",
       "      <td>96453.000000</td>\n",
       "      <td>96453.000000</td>\n",
       "      <td>96453.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>11.932678</td>\n",
       "      <td>10.855029</td>\n",
       "      <td>0.734899</td>\n",
       "      <td>10.810640</td>\n",
       "      <td>187.509232</td>\n",
       "      <td>10.347325</td>\n",
       "      <td>1003.235956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9.551546</td>\n",
       "      <td>10.696847</td>\n",
       "      <td>0.195473</td>\n",
       "      <td>6.913571</td>\n",
       "      <td>107.383428</td>\n",
       "      <td>4.192123</td>\n",
       "      <td>116.969906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-21.822222</td>\n",
       "      <td>-27.716667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.688889</td>\n",
       "      <td>2.311111</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>5.828200</td>\n",
       "      <td>116.000000</td>\n",
       "      <td>8.339800</td>\n",
       "      <td>1011.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>0.780000</td>\n",
       "      <td>9.965900</td>\n",
       "      <td>180.000000</td>\n",
       "      <td>10.046400</td>\n",
       "      <td>1016.450000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>18.838889</td>\n",
       "      <td>18.838889</td>\n",
       "      <td>0.890000</td>\n",
       "      <td>14.135800</td>\n",
       "      <td>290.000000</td>\n",
       "      <td>14.812000</td>\n",
       "      <td>1021.090000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>39.905556</td>\n",
       "      <td>39.344444</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>63.852600</td>\n",
       "      <td>359.000000</td>\n",
       "      <td>16.100000</td>\n",
       "      <td>1046.380000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Temperature (C)  Apparent Temperature (C)      Humidity  \\\n",
       "count     96453.000000              96453.000000  96453.000000   \n",
       "mean         11.932678                 10.855029      0.734899   \n",
       "std           9.551546                 10.696847      0.195473   \n",
       "min         -21.822222                -27.716667      0.000000   \n",
       "25%           4.688889                  2.311111      0.600000   \n",
       "50%          12.000000                 12.000000      0.780000   \n",
       "75%          18.838889                 18.838889      0.890000   \n",
       "max          39.905556                 39.344444      1.000000   \n",
       "\n",
       "       Wind Speed (km/h)  Wind Bearing (degrees)  Visibility (km)  \\\n",
       "count       96453.000000            96453.000000     96453.000000   \n",
       "mean           10.810640              187.509232        10.347325   \n",
       "std             6.913571              107.383428         4.192123   \n",
       "min             0.000000                0.000000         0.000000   \n",
       "25%             5.828200              116.000000         8.339800   \n",
       "50%             9.965900              180.000000        10.046400   \n",
       "75%            14.135800              290.000000        14.812000   \n",
       "max            63.852600              359.000000        16.100000   \n",
       "\n",
       "       Pressure (millibars)  \n",
       "count          96453.000000  \n",
       "mean            1003.235956  \n",
       "std              116.969906  \n",
       "min                0.000000  \n",
       "25%             1011.900000  \n",
       "50%             1016.450000  \n",
       "75%             1021.090000  \n",
       "max             1046.380000  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Statistical Summary of DataFrame\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 96453 entries, 0 to 96452\n",
      "Data columns (total 11 columns):\n",
      " #   Column                    Non-Null Count  Dtype  \n",
      "---  ------                    --------------  -----  \n",
      " 0   Formatted Date            96453 non-null  object \n",
      " 1   Summary                   96453 non-null  object \n",
      " 2   Precip Type               95936 non-null  object \n",
      " 3   Temperature (C)           96453 non-null  float64\n",
      " 4   Apparent Temperature (C)  96453 non-null  float64\n",
      " 5   Humidity                  96453 non-null  float64\n",
      " 6   Wind Speed (km/h)         96453 non-null  float64\n",
      " 7   Wind Bearing (degrees)    96453 non-null  int64  \n",
      " 8   Visibility (km)           96453 non-null  float64\n",
      " 9   Pressure (millibars)      96453 non-null  float64\n",
      " 10  Daily Summary             96453 non-null  object \n",
      "dtypes: float64(6), int64(1), object(4)\n",
      "memory usage: 6.6+ MB\n"
     ]
    }
   ],
   "source": [
    "#Concise Summary of the DataFrame\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Formatted Date                0\n",
       "Summary                       0\n",
       "Precip Type                 517\n",
       "Temperature (C)               0\n",
       "Apparent Temperature (C)      0\n",
       "Humidity                      0\n",
       "Wind Speed (km/h)             0\n",
       "Wind Bearing (degrees)        0\n",
       "Visibility (km)               0\n",
       "Pressure (millibars)          0\n",
       "Daily Summary                 0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Missing Values on Dataset from String to Date Time\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Observation:</h2>\n",
    "<ul>\n",
    "    <li>In 'Precip Type' Column there are 517 missing values.</li>\n",
    "    <li>'Wind Bearing (degrees)' has only integer values and Formatted Date is in String.</li>\n",
    "    <li>Minimum values of <a href=\"https://www.chicagotribune.com/news/ct-xpm-2011-12-16-ct-wea-1216-asktom-20111216-story.html\">Humidity</a>, <a href=\"https://www.researchgate.net/post/Can-wind-speed-be-zero\">Wind Speed (km/h)</a>, <a href=\"https://en.wikipedia.org/wiki/Wind_direction#:~:text=Wind%20direction%20is%20usually%20reported,to%20as%2090%C2%B0%2C%20etc.\">Wind Bearing (degrees)</a>, <a href=\"https://en.wikipedia.org/wiki/Visibility#:~:text=Visibility%20of%20less%20than%20100,be%20activated%20to%20warn%20drivers.\">Visibility (km)</a> are Zero and they can be Zero. </li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Changing Formatted Date from String to Datetime\n",
    "df['Formatted Date'] = pd.to_datetime(df['Formatted Date'], utc=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 96453 entries, 0 to 96452\n",
      "Data columns (total 11 columns):\n",
      " #   Column                    Non-Null Count  Dtype              \n",
      "---  ------                    --------------  -----              \n",
      " 0   Formatted Date            96453 non-null  datetime64[ns, UTC]\n",
      " 1   Summary                   96453 non-null  object             \n",
      " 2   Precip Type               95936 non-null  object             \n",
      " 3   Temperature (C)           96453 non-null  float64            \n",
      " 4   Apparent Temperature (C)  96453 non-null  float64            \n",
      " 5   Humidity                  96453 non-null  float64            \n",
      " 6   Wind Speed (km/h)         96453 non-null  float64            \n",
      " 7   Wind Bearing (degrees)    96453 non-null  int64              \n",
      " 8   Visibility (km)           96453 non-null  float64            \n",
      " 9   Pressure (millibars)      96453 non-null  float64            \n",
      " 10  Daily Summary             96453 non-null  object             \n",
      "dtypes: datetime64[ns, UTC](1), float64(6), int64(1), object(3)\n",
      "memory usage: 7.0+ MB\n"
     ]
    }
   ],
   "source": [
    "#Now Formatted Date is in Date Time Format\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "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>Formatted Date</th>\n",
       "      <th>Summary</th>\n",
       "      <th>Precip Type</th>\n",
       "      <th>Temperature (C)</th>\n",
       "      <th>Apparent Temperature (C)</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>Wind Speed (km/h)</th>\n",
       "      <th>Wind Bearing (degrees)</th>\n",
       "      <th>Visibility (km)</th>\n",
       "      <th>Pressure (millibars)</th>\n",
       "      <th>Daily Summary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3116</th>\n",
       "      <td>2006-01-18 19:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>1.205556</td>\n",
       "      <td>-1.816667</td>\n",
       "      <td>0.92</td>\n",
       "      <td>9.8371</td>\n",
       "      <td>288</td>\n",
       "      <td>9.6761</td>\n",
       "      <td>1006.52</td>\n",
       "      <td>Mostly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47180</th>\n",
       "      <td>2011-01-26 19:00:00+00:00</td>\n",
       "      <td>Overcast</td>\n",
       "      <td>snow</td>\n",
       "      <td>-2.155556</td>\n",
       "      <td>-2.155556</td>\n",
       "      <td>0.96</td>\n",
       "      <td>3.1234</td>\n",
       "      <td>156</td>\n",
       "      <td>4.8300</td>\n",
       "      <td>1013.28</td>\n",
       "      <td>Foggy in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84018</th>\n",
       "      <td>2015-03-01 20:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>5.466667</td>\n",
       "      <td>3.083333</td>\n",
       "      <td>0.87</td>\n",
       "      <td>10.7226</td>\n",
       "      <td>209</td>\n",
       "      <td>6.0697</td>\n",
       "      <td>1014.16</td>\n",
       "      <td>Foggy in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53233</th>\n",
       "      <td>2012-04-05 23:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>12.222222</td>\n",
       "      <td>12.222222</td>\n",
       "      <td>0.64</td>\n",
       "      <td>3.2200</td>\n",
       "      <td>90</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>1006.60</td>\n",
       "      <td>Mostly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68233</th>\n",
       "      <td>2013-11-02 01:00:00+00:00</td>\n",
       "      <td>Foggy</td>\n",
       "      <td>rain</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>0.93</td>\n",
       "      <td>3.2200</td>\n",
       "      <td>130</td>\n",
       "      <td>0.9338</td>\n",
       "      <td>1020.06</td>\n",
       "      <td>Foggy overnight.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2167</th>\n",
       "      <td>2006-12-08 06:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>3.966667</td>\n",
       "      <td>1.027778</td>\n",
       "      <td>0.93</td>\n",
       "      <td>11.9623</td>\n",
       "      <td>139</td>\n",
       "      <td>5.9731</td>\n",
       "      <td>1016.91</td>\n",
       "      <td>Partly cloudy starting in the morning continui...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43425</th>\n",
       "      <td>2010-09-20 07:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>13.733333</td>\n",
       "      <td>13.733333</td>\n",
       "      <td>0.78</td>\n",
       "      <td>10.6421</td>\n",
       "      <td>349</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1020.71</td>\n",
       "      <td>Foggy starting overnight continuing until morn...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25132</th>\n",
       "      <td>2008-10-02 03:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>11.850000</td>\n",
       "      <td>11.850000</td>\n",
       "      <td>0.81</td>\n",
       "      <td>9.7405</td>\n",
       "      <td>166</td>\n",
       "      <td>14.9569</td>\n",
       "      <td>1011.43</td>\n",
       "      <td>Mostly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23123</th>\n",
       "      <td>2008-03-27 10:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>12.172222</td>\n",
       "      <td>12.172222</td>\n",
       "      <td>0.40</td>\n",
       "      <td>13.7977</td>\n",
       "      <td>138</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1005.54</td>\n",
       "      <td>Mostly cloudy starting in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80848</th>\n",
       "      <td>2015-12-27 18:00:00+00:00</td>\n",
       "      <td>Foggy</td>\n",
       "      <td>rain</td>\n",
       "      <td>1.138889</td>\n",
       "      <td>-1.605556</td>\n",
       "      <td>0.93</td>\n",
       "      <td>8.7745</td>\n",
       "      <td>6</td>\n",
       "      <td>0.0161</td>\n",
       "      <td>1033.81</td>\n",
       "      <td>Foggy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94311</th>\n",
       "      <td>2016-11-10 18:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>6.666667</td>\n",
       "      <td>4.850000</td>\n",
       "      <td>0.80</td>\n",
       "      <td>9.1126</td>\n",
       "      <td>149</td>\n",
       "      <td>10.0142</td>\n",
       "      <td>1018.80</td>\n",
       "      <td>Mostly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38683</th>\n",
       "      <td>2010-01-08 18:00:00+00:00</td>\n",
       "      <td>Overcast</td>\n",
       "      <td>rain</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>4.888889</td>\n",
       "      <td>0.82</td>\n",
       "      <td>15.6170</td>\n",
       "      <td>133</td>\n",
       "      <td>11.1573</td>\n",
       "      <td>1006.27</td>\n",
       "      <td>Foggy starting in the morning continuing until...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93660</th>\n",
       "      <td>2016-05-14 14:00:00+00:00</td>\n",
       "      <td>Overcast</td>\n",
       "      <td>rain</td>\n",
       "      <td>15.138889</td>\n",
       "      <td>15.138889</td>\n",
       "      <td>0.92</td>\n",
       "      <td>17.0499</td>\n",
       "      <td>244</td>\n",
       "      <td>6.2951</td>\n",
       "      <td>1001.18</td>\n",
       "      <td>Mostly cloudy throughout the day and breezy st...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88226</th>\n",
       "      <td>2016-04-30 03:00:00+00:00</td>\n",
       "      <td>Foggy</td>\n",
       "      <td>rain</td>\n",
       "      <td>4.016667</td>\n",
       "      <td>4.016667</td>\n",
       "      <td>0.99</td>\n",
       "      <td>1.7227</td>\n",
       "      <td>250</td>\n",
       "      <td>1.6261</td>\n",
       "      <td>1020.46</td>\n",
       "      <td>Foggy starting overnight continuing until morn...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4147</th>\n",
       "      <td>2006-07-29 17:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>29.905556</td>\n",
       "      <td>30.738889</td>\n",
       "      <td>0.49</td>\n",
       "      <td>10.6099</td>\n",
       "      <td>198</td>\n",
       "      <td>11.2700</td>\n",
       "      <td>1005.78</td>\n",
       "      <td>Partly cloudy starting in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47339</th>\n",
       "      <td>2011-01-04 10:00:00+00:00</td>\n",
       "      <td>Overcast</td>\n",
       "      <td>snow</td>\n",
       "      <td>-2.800000</td>\n",
       "      <td>-5.838889</td>\n",
       "      <td>0.92</td>\n",
       "      <td>7.5348</td>\n",
       "      <td>142</td>\n",
       "      <td>10.8514</td>\n",
       "      <td>1026.78</td>\n",
       "      <td>Overcast throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36794</th>\n",
       "      <td>2010-12-19 01:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>snow</td>\n",
       "      <td>-13.883333</td>\n",
       "      <td>-18.111111</td>\n",
       "      <td>0.91</td>\n",
       "      <td>6.2629</td>\n",
       "      <td>191</td>\n",
       "      <td>5.9731</td>\n",
       "      <td>1013.80</td>\n",
       "      <td>Foggy in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65194</th>\n",
       "      <td>2013-07-16 08:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>21.116667</td>\n",
       "      <td>21.116667</td>\n",
       "      <td>0.57</td>\n",
       "      <td>14.2163</td>\n",
       "      <td>352</td>\n",
       "      <td>11.2700</td>\n",
       "      <td>1021.25</td>\n",
       "      <td>Partly cloudy until evening.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68921</th>\n",
       "      <td>2013-10-18 16:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>12.866667</td>\n",
       "      <td>12.866667</td>\n",
       "      <td>0.63</td>\n",
       "      <td>15.6492</td>\n",
       "      <td>330</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>1017.13</td>\n",
       "      <td>Partly cloudy until evening and breezy in the ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22305</th>\n",
       "      <td>2008-06-23 07:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>27.783333</td>\n",
       "      <td>28.483333</td>\n",
       "      <td>0.53</td>\n",
       "      <td>14.2646</td>\n",
       "      <td>171</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1018.22</td>\n",
       "      <td>Partly cloudy starting in the morning.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Formatted Date        Summary Precip Type  Temperature (C)  \\\n",
       "3116  2006-01-18 19:00:00+00:00  Mostly Cloudy        rain         1.205556   \n",
       "47180 2011-01-26 19:00:00+00:00       Overcast        snow        -2.155556   \n",
       "84018 2015-03-01 20:00:00+00:00  Mostly Cloudy        rain         5.466667   \n",
       "53233 2012-04-05 23:00:00+00:00  Mostly Cloudy        rain        12.222222   \n",
       "68233 2013-11-02 01:00:00+00:00          Foggy        rain         7.200000   \n",
       "2167  2006-12-08 06:00:00+00:00  Mostly Cloudy        rain         3.966667   \n",
       "43425 2010-09-20 07:00:00+00:00  Partly Cloudy        rain        13.733333   \n",
       "25132 2008-10-02 03:00:00+00:00  Partly Cloudy        rain        11.850000   \n",
       "23123 2008-03-27 10:00:00+00:00  Mostly Cloudy        rain        12.172222   \n",
       "80848 2015-12-27 18:00:00+00:00          Foggy        rain         1.138889   \n",
       "94311 2016-11-10 18:00:00+00:00  Mostly Cloudy        rain         6.666667   \n",
       "38683 2010-01-08 18:00:00+00:00       Overcast        rain         7.600000   \n",
       "93660 2016-05-14 14:00:00+00:00       Overcast        rain        15.138889   \n",
       "88226 2016-04-30 03:00:00+00:00          Foggy        rain         4.016667   \n",
       "4147  2006-07-29 17:00:00+00:00  Partly Cloudy        rain        29.905556   \n",
       "47339 2011-01-04 10:00:00+00:00       Overcast        snow        -2.800000   \n",
       "36794 2010-12-19 01:00:00+00:00  Partly Cloudy        snow       -13.883333   \n",
       "65194 2013-07-16 08:00:00+00:00  Partly Cloudy        rain        21.116667   \n",
       "68921 2013-10-18 16:00:00+00:00  Partly Cloudy        rain        12.866667   \n",
       "22305 2008-06-23 07:00:00+00:00  Partly Cloudy        rain        27.783333   \n",
       "\n",
       "       Apparent Temperature (C)  Humidity  Wind Speed (km/h)  \\\n",
       "3116                  -1.816667      0.92             9.8371   \n",
       "47180                 -2.155556      0.96             3.1234   \n",
       "84018                  3.083333      0.87            10.7226   \n",
       "53233                 12.222222      0.64             3.2200   \n",
       "68233                  7.200000      0.93             3.2200   \n",
       "2167                   1.027778      0.93            11.9623   \n",
       "43425                 13.733333      0.78            10.6421   \n",
       "25132                 11.850000      0.81             9.7405   \n",
       "23123                 12.172222      0.40            13.7977   \n",
       "80848                 -1.605556      0.93             8.7745   \n",
       "94311                  4.850000      0.80             9.1126   \n",
       "38683                  4.888889      0.82            15.6170   \n",
       "93660                 15.138889      0.92            17.0499   \n",
       "88226                  4.016667      0.99             1.7227   \n",
       "4147                  30.738889      0.49            10.6099   \n",
       "47339                 -5.838889      0.92             7.5348   \n",
       "36794                -18.111111      0.91             6.2629   \n",
       "65194                 21.116667      0.57            14.2163   \n",
       "68921                 12.866667      0.63            15.6492   \n",
       "22305                 28.483333      0.53            14.2646   \n",
       "\n",
       "       Wind Bearing (degrees)  Visibility (km)  Pressure (millibars)  \\\n",
       "3116                      288           9.6761               1006.52   \n",
       "47180                     156           4.8300               1013.28   \n",
       "84018                     209           6.0697               1014.16   \n",
       "53233                      90          16.1000               1006.60   \n",
       "68233                     130           0.9338               1020.06   \n",
       "2167                      139           5.9731               1016.91   \n",
       "43425                     349           9.9820               1020.71   \n",
       "25132                     166          14.9569               1011.43   \n",
       "23123                     138           9.9820               1005.54   \n",
       "80848                       6           0.0161               1033.81   \n",
       "94311                     149          10.0142               1018.80   \n",
       "38683                     133          11.1573               1006.27   \n",
       "93660                     244           6.2951               1001.18   \n",
       "88226                     250           1.6261               1020.46   \n",
       "4147                      198          11.2700               1005.78   \n",
       "47339                     142          10.8514               1026.78   \n",
       "36794                     191           5.9731               1013.80   \n",
       "65194                     352          11.2700               1021.25   \n",
       "68921                     330          16.1000               1017.13   \n",
       "22305                     171           9.9820               1018.22   \n",
       "\n",
       "                                           Daily Summary  \n",
       "3116                   Mostly cloudy throughout the day.  \n",
       "47180                              Foggy in the morning.  \n",
       "84018                              Foggy in the morning.  \n",
       "53233                  Mostly cloudy throughout the day.  \n",
       "68233                                   Foggy overnight.  \n",
       "2167   Partly cloudy starting in the morning continui...  \n",
       "43425  Foggy starting overnight continuing until morn...  \n",
       "25132                  Mostly cloudy throughout the day.  \n",
       "23123             Mostly cloudy starting in the morning.  \n",
       "80848                          Foggy throughout the day.  \n",
       "94311                  Mostly cloudy throughout the day.  \n",
       "38683  Foggy starting in the morning continuing until...  \n",
       "93660  Mostly cloudy throughout the day and breezy st...  \n",
       "88226  Foggy starting overnight continuing until morn...  \n",
       "4147              Partly cloudy starting in the morning.  \n",
       "47339                       Overcast throughout the day.  \n",
       "36794                              Foggy in the morning.  \n",
       "65194                       Partly cloudy until evening.  \n",
       "68921  Partly cloudy until evening and breezy in the ...  \n",
       "22305             Partly cloudy starting in the morning.  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sample(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Checking Wheather this dataset has Duplicate Values or not\n",
    "sum(df.duplicated())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Explortary Data Analysis(EDA):\n",
    "### Data Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Formatted Date              96429\n",
       "Summary                        27\n",
       "Precip Type                     2\n",
       "Temperature (C)              7574\n",
       "Apparent Temperature (C)     8984\n",
       "Humidity                       90\n",
       "Wind Speed (km/h)            2484\n",
       "Wind Bearing (degrees)        360\n",
       "Visibility (km)               949\n",
       "Pressure (millibars)         4979\n",
       "Daily Summary                 214\n",
       "dtype: int64"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Number of Distinct Observation \n",
    "df.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "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>Formatted Date</th>\n",
       "      <th>Summary</th>\n",
       "      <th>Precip Type</th>\n",
       "      <th>Temperature (C)</th>\n",
       "      <th>Apparent Temperature (C)</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>Wind Speed (km/h)</th>\n",
       "      <th>Wind Bearing (degrees)</th>\n",
       "      <th>Visibility (km)</th>\n",
       "      <th>Pressure (millibars)</th>\n",
       "      <th>Daily Summary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>36072</th>\n",
       "      <td>2010-08-01 22:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>rain</td>\n",
       "      <td>18.800000</td>\n",
       "      <td>18.800000</td>\n",
       "      <td>0.93</td>\n",
       "      <td>6.2790</td>\n",
       "      <td>270</td>\n",
       "      <td>14.9086</td>\n",
       "      <td>1016.99</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36073</th>\n",
       "      <td>2010-08-01 23:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>rain</td>\n",
       "      <td>18.222222</td>\n",
       "      <td>18.222222</td>\n",
       "      <td>0.97</td>\n",
       "      <td>6.2790</td>\n",
       "      <td>291</td>\n",
       "      <td>14.9086</td>\n",
       "      <td>1017.09</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36074</th>\n",
       "      <td>2010-08-02 00:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>rain</td>\n",
       "      <td>18.072222</td>\n",
       "      <td>18.072222</td>\n",
       "      <td>0.98</td>\n",
       "      <td>11.2700</td>\n",
       "      <td>290</td>\n",
       "      <td>6.8425</td>\n",
       "      <td>1013.23</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36075</th>\n",
       "      <td>2010-08-02 01:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>rain</td>\n",
       "      <td>16.622222</td>\n",
       "      <td>16.622222</td>\n",
       "      <td>0.99</td>\n",
       "      <td>6.4400</td>\n",
       "      <td>300</td>\n",
       "      <td>11.9784</td>\n",
       "      <td>1016.78</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36076</th>\n",
       "      <td>2010-08-02 02:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>rain</td>\n",
       "      <td>16.094444</td>\n",
       "      <td>16.094444</td>\n",
       "      <td>0.99</td>\n",
       "      <td>3.0751</td>\n",
       "      <td>280</td>\n",
       "      <td>11.9784</td>\n",
       "      <td>1016.67</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36077</th>\n",
       "      <td>2010-08-02 03:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>rain</td>\n",
       "      <td>15.955556</td>\n",
       "      <td>15.955556</td>\n",
       "      <td>0.99</td>\n",
       "      <td>3.8801</td>\n",
       "      <td>276</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1016.69</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36078</th>\n",
       "      <td>2010-08-02 04:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>rain</td>\n",
       "      <td>17.088889</td>\n",
       "      <td>17.088889</td>\n",
       "      <td>1.00</td>\n",
       "      <td>6.4400</td>\n",
       "      <td>310</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1017.08</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36079</th>\n",
       "      <td>2010-08-02 05:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>rain</td>\n",
       "      <td>20.822222</td>\n",
       "      <td>20.822222</td>\n",
       "      <td>0.87</td>\n",
       "      <td>3.2200</td>\n",
       "      <td>300</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1017.27</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36080</th>\n",
       "      <td>2010-08-02 06:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>rain</td>\n",
       "      <td>23.405556</td>\n",
       "      <td>23.405556</td>\n",
       "      <td>0.74</td>\n",
       "      <td>1.8837</td>\n",
       "      <td>334</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1017.27</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36081</th>\n",
       "      <td>2010-08-02 07:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>rain</td>\n",
       "      <td>26.050000</td>\n",
       "      <td>26.050000</td>\n",
       "      <td>0.59</td>\n",
       "      <td>1.5939</td>\n",
       "      <td>5</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1017.15</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36082</th>\n",
       "      <td>2010-08-02 08:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>rain</td>\n",
       "      <td>27.688889</td>\n",
       "      <td>28.077778</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.2254</td>\n",
       "      <td>338</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1016.68</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36083</th>\n",
       "      <td>2010-08-02 09:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>rain</td>\n",
       "      <td>28.561111</td>\n",
       "      <td>29.588889</td>\n",
       "      <td>0.54</td>\n",
       "      <td>3.2039</td>\n",
       "      <td>288</td>\n",
       "      <td>10.3523</td>\n",
       "      <td>1016.58</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36084</th>\n",
       "      <td>2010-08-02 10:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>rain</td>\n",
       "      <td>28.816667</td>\n",
       "      <td>29.338889</td>\n",
       "      <td>0.49</td>\n",
       "      <td>1.6100</td>\n",
       "      <td>20</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1016.55</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36085</th>\n",
       "      <td>2010-08-02 11:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>28.866667</td>\n",
       "      <td>29.044444</td>\n",
       "      <td>0.46</td>\n",
       "      <td>2.8175</td>\n",
       "      <td>33</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1015.99</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36086</th>\n",
       "      <td>2010-08-02 12:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>29.827778</td>\n",
       "      <td>30.338889</td>\n",
       "      <td>0.47</td>\n",
       "      <td>8.0339</td>\n",
       "      <td>267</td>\n",
       "      <td>10.3523</td>\n",
       "      <td>1015.50</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36087</th>\n",
       "      <td>2010-08-02 13:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>30.072222</td>\n",
       "      <td>30.527778</td>\n",
       "      <td>0.46</td>\n",
       "      <td>2.5921</td>\n",
       "      <td>92</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1014.97</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36088</th>\n",
       "      <td>2010-08-02 14:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>31.066667</td>\n",
       "      <td>31.627778</td>\n",
       "      <td>0.44</td>\n",
       "      <td>1.3846</td>\n",
       "      <td>297</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1014.47</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36089</th>\n",
       "      <td>2010-08-02 15:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>30.861111</td>\n",
       "      <td>31.361111</td>\n",
       "      <td>0.44</td>\n",
       "      <td>2.2540</td>\n",
       "      <td>325</td>\n",
       "      <td>10.3523</td>\n",
       "      <td>1014.08</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36090</th>\n",
       "      <td>2010-08-02 16:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>29.950000</td>\n",
       "      <td>30.416667</td>\n",
       "      <td>0.46</td>\n",
       "      <td>3.0751</td>\n",
       "      <td>303</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1013.59</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36091</th>\n",
       "      <td>2010-08-02 17:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>rain</td>\n",
       "      <td>28.811111</td>\n",
       "      <td>30.616667</td>\n",
       "      <td>0.59</td>\n",
       "      <td>3.2039</td>\n",
       "      <td>351</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1013.19</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36092</th>\n",
       "      <td>2010-08-02 18:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>rain</td>\n",
       "      <td>25.250000</td>\n",
       "      <td>25.250000</td>\n",
       "      <td>0.75</td>\n",
       "      <td>2.4955</td>\n",
       "      <td>335</td>\n",
       "      <td>10.3523</td>\n",
       "      <td>1013.20</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36093</th>\n",
       "      <td>2010-08-02 19:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>rain</td>\n",
       "      <td>22.172222</td>\n",
       "      <td>22.172222</td>\n",
       "      <td>0.87</td>\n",
       "      <td>1.6100</td>\n",
       "      <td>0</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1013.49</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36094</th>\n",
       "      <td>2010-08-02 20:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>21.061111</td>\n",
       "      <td>21.061111</td>\n",
       "      <td>0.90</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>11.9784</td>\n",
       "      <td>1013.37</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36095</th>\n",
       "      <td>2010-08-02 21:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>rain</td>\n",
       "      <td>20.255556</td>\n",
       "      <td>20.255556</td>\n",
       "      <td>0.92</td>\n",
       "      <td>1.0787</td>\n",
       "      <td>326</td>\n",
       "      <td>14.1680</td>\n",
       "      <td>1013.00</td>\n",
       "      <td>Partly cloudy starting in the afternoon contin...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Formatted Date        Summary Precip Type  Temperature (C)  \\\n",
       "36072 2010-08-01 22:00:00+00:00          Clear        rain        18.800000   \n",
       "36073 2010-08-01 23:00:00+00:00          Clear        rain        18.222222   \n",
       "36074 2010-08-02 00:00:00+00:00          Clear        rain        18.072222   \n",
       "36075 2010-08-02 01:00:00+00:00          Clear        rain        16.622222   \n",
       "36076 2010-08-02 02:00:00+00:00          Clear        rain        16.094444   \n",
       "36077 2010-08-02 03:00:00+00:00          Clear        rain        15.955556   \n",
       "36078 2010-08-02 04:00:00+00:00          Clear        rain        17.088889   \n",
       "36079 2010-08-02 05:00:00+00:00          Clear        rain        20.822222   \n",
       "36080 2010-08-02 06:00:00+00:00          Clear        rain        23.405556   \n",
       "36081 2010-08-02 07:00:00+00:00          Clear        rain        26.050000   \n",
       "36082 2010-08-02 08:00:00+00:00          Clear        rain        27.688889   \n",
       "36083 2010-08-02 09:00:00+00:00          Clear        rain        28.561111   \n",
       "36084 2010-08-02 10:00:00+00:00          Clear        rain        28.816667   \n",
       "36085 2010-08-02 11:00:00+00:00  Partly Cloudy        rain        28.866667   \n",
       "36086 2010-08-02 12:00:00+00:00  Partly Cloudy        rain        29.827778   \n",
       "36087 2010-08-02 13:00:00+00:00  Partly Cloudy        rain        30.072222   \n",
       "36088 2010-08-02 14:00:00+00:00  Partly Cloudy        rain        31.066667   \n",
       "36089 2010-08-02 15:00:00+00:00  Partly Cloudy        rain        30.861111   \n",
       "36090 2010-08-02 16:00:00+00:00  Partly Cloudy        rain        29.950000   \n",
       "36091 2010-08-02 17:00:00+00:00          Clear        rain        28.811111   \n",
       "36092 2010-08-02 18:00:00+00:00          Clear        rain        25.250000   \n",
       "36093 2010-08-02 19:00:00+00:00          Clear        rain        22.172222   \n",
       "36094 2010-08-02 20:00:00+00:00  Partly Cloudy        rain        21.061111   \n",
       "36095 2010-08-02 21:00:00+00:00          Clear        rain        20.255556   \n",
       "\n",
       "       Apparent Temperature (C)  Humidity  Wind Speed (km/h)  \\\n",
       "36072                 18.800000      0.93             6.2790   \n",
       "36073                 18.222222      0.97             6.2790   \n",
       "36074                 18.072222      0.98            11.2700   \n",
       "36075                 16.622222      0.99             6.4400   \n",
       "36076                 16.094444      0.99             3.0751   \n",
       "36077                 15.955556      0.99             3.8801   \n",
       "36078                 17.088889      1.00             6.4400   \n",
       "36079                 20.822222      0.87             3.2200   \n",
       "36080                 23.405556      0.74             1.8837   \n",
       "36081                 26.050000      0.59             1.5939   \n",
       "36082                 28.077778      0.50             0.2254   \n",
       "36083                 29.588889      0.54             3.2039   \n",
       "36084                 29.338889      0.49             1.6100   \n",
       "36085                 29.044444      0.46             2.8175   \n",
       "36086                 30.338889      0.47             8.0339   \n",
       "36087                 30.527778      0.46             2.5921   \n",
       "36088                 31.627778      0.44             1.3846   \n",
       "36089                 31.361111      0.44             2.2540   \n",
       "36090                 30.416667      0.46             3.0751   \n",
       "36091                 30.616667      0.59             3.2039   \n",
       "36092                 25.250000      0.75             2.4955   \n",
       "36093                 22.172222      0.87             1.6100   \n",
       "36094                 21.061111      0.90             0.0000   \n",
       "36095                 20.255556      0.92             1.0787   \n",
       "\n",
       "       Wind Bearing (degrees)  Visibility (km)  Pressure (millibars)  \\\n",
       "36072                     270          14.9086               1016.99   \n",
       "36073                     291          14.9086               1017.09   \n",
       "36074                     290           6.8425               1013.23   \n",
       "36075                     300          11.9784               1016.78   \n",
       "36076                     280          11.9784               1016.67   \n",
       "36077                     276           9.9820               1016.69   \n",
       "36078                     310           9.9820               1017.08   \n",
       "36079                     300           9.9820               1017.27   \n",
       "36080                     334           9.9820               1017.27   \n",
       "36081                       5           9.9820               1017.15   \n",
       "36082                     338           9.9820               1016.68   \n",
       "36083                     288          10.3523               1016.58   \n",
       "36084                      20           9.9820               1016.55   \n",
       "36085                      33           9.9820               1015.99   \n",
       "36086                     267          10.3523               1015.50   \n",
       "36087                      92           9.9820               1014.97   \n",
       "36088                     297           9.9820               1014.47   \n",
       "36089                     325          10.3523               1014.08   \n",
       "36090                     303           9.9820               1013.59   \n",
       "36091                     351           9.9820               1013.19   \n",
       "36092                     335          10.3523               1013.20   \n",
       "36093                       0           9.9820               1013.49   \n",
       "36094                       0          11.9784               1013.37   \n",
       "36095                     326          14.1680               1013.00   \n",
       "\n",
       "                                           Daily Summary  \n",
       "36072  Partly cloudy starting in the afternoon contin...  \n",
       "36073  Partly cloudy starting in the afternoon contin...  \n",
       "36074  Partly cloudy starting in the afternoon contin...  \n",
       "36075  Partly cloudy starting in the afternoon contin...  \n",
       "36076  Partly cloudy starting in the afternoon contin...  \n",
       "36077  Partly cloudy starting in the afternoon contin...  \n",
       "36078  Partly cloudy starting in the afternoon contin...  \n",
       "36079  Partly cloudy starting in the afternoon contin...  \n",
       "36080  Partly cloudy starting in the afternoon contin...  \n",
       "36081  Partly cloudy starting in the afternoon contin...  \n",
       "36082  Partly cloudy starting in the afternoon contin...  \n",
       "36083  Partly cloudy starting in the afternoon contin...  \n",
       "36084  Partly cloudy starting in the afternoon contin...  \n",
       "36085  Partly cloudy starting in the afternoon contin...  \n",
       "36086  Partly cloudy starting in the afternoon contin...  \n",
       "36087  Partly cloudy starting in the afternoon contin...  \n",
       "36088  Partly cloudy starting in the afternoon contin...  \n",
       "36089  Partly cloudy starting in the afternoon contin...  \n",
       "36090  Partly cloudy starting in the afternoon contin...  \n",
       "36091  Partly cloudy starting in the afternoon contin...  \n",
       "36092  Partly cloudy starting in the afternoon contin...  \n",
       "36093  Partly cloudy starting in the afternoon contin...  \n",
       "36094  Partly cloudy starting in the afternoon contin...  \n",
       "36095  Partly cloudy starting in the afternoon contin...  "
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#DataFrame for Duplicate Values\n",
    "df_duplicated = df[df.duplicated()]\n",
    "df_duplicated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(24, 11)"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_duplicated.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Observation:</h2>\n",
    "<ul>\n",
    "    <li>There are no Duplicate Values in this Dataset.</li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "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>Formatted Date</th>\n",
       "      <th>Summary</th>\n",
       "      <th>Precip Type</th>\n",
       "      <th>Temperature (C)</th>\n",
       "      <th>Apparent Temperature (C)</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>Wind Speed (km/h)</th>\n",
       "      <th>Wind Bearing (degrees)</th>\n",
       "      <th>Visibility (km)</th>\n",
       "      <th>Pressure (millibars)</th>\n",
       "      <th>Daily Summary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>52672</th>\n",
       "      <td>2012-04-11 14:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.016667</td>\n",
       "      <td>19.016667</td>\n",
       "      <td>0.26</td>\n",
       "      <td>14.8764</td>\n",
       "      <td>163</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1002.40</td>\n",
       "      <td>Mostly cloudy until night.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52674</th>\n",
       "      <td>2012-04-11 16:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.850000</td>\n",
       "      <td>17.850000</td>\n",
       "      <td>0.28</td>\n",
       "      <td>13.7977</td>\n",
       "      <td>169</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1001.79</td>\n",
       "      <td>Mostly cloudy until night.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52675</th>\n",
       "      <td>2012-04-11 17:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.322222</td>\n",
       "      <td>16.322222</td>\n",
       "      <td>0.32</td>\n",
       "      <td>10.8192</td>\n",
       "      <td>151</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1001.60</td>\n",
       "      <td>Mostly cloudy until night.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52677</th>\n",
       "      <td>2012-04-11 19:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.566667</td>\n",
       "      <td>12.566667</td>\n",
       "      <td>0.43</td>\n",
       "      <td>9.0160</td>\n",
       "      <td>159</td>\n",
       "      <td>9.9820</td>\n",
       "      <td>1001.92</td>\n",
       "      <td>Mostly cloudy until night.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52678</th>\n",
       "      <td>2012-04-11 20:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.927778</td>\n",
       "      <td>12.927778</td>\n",
       "      <td>0.47</td>\n",
       "      <td>17.6295</td>\n",
       "      <td>197</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>1002.20</td>\n",
       "      <td>Mostly cloudy until night.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52680</th>\n",
       "      <td>2012-04-11 22:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.100000</td>\n",
       "      <td>10.100000</td>\n",
       "      <td>0.61</td>\n",
       "      <td>11.3666</td>\n",
       "      <td>180</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>1002.25</td>\n",
       "      <td>Light rain in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52681</th>\n",
       "      <td>2012-04-11 23:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.183333</td>\n",
       "      <td>10.183333</td>\n",
       "      <td>0.64</td>\n",
       "      <td>7.2128</td>\n",
       "      <td>150</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>1002.05</td>\n",
       "      <td>Light rain in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52683</th>\n",
       "      <td>2012-04-12 01:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.700000</td>\n",
       "      <td>10.700000</td>\n",
       "      <td>0.70</td>\n",
       "      <td>14.6993</td>\n",
       "      <td>133</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>1001.42</td>\n",
       "      <td>Light rain in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52684</th>\n",
       "      <td>2012-04-12 02:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.744444</td>\n",
       "      <td>8.022222</td>\n",
       "      <td>0.73</td>\n",
       "      <td>11.9623</td>\n",
       "      <td>142</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>1001.11</td>\n",
       "      <td>Light rain in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52687</th>\n",
       "      <td>2012-04-12 05:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.055556</td>\n",
       "      <td>10.055556</td>\n",
       "      <td>0.76</td>\n",
       "      <td>13.9748</td>\n",
       "      <td>213</td>\n",
       "      <td>11.1090</td>\n",
       "      <td>1001.22</td>\n",
       "      <td>Light rain in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52692</th>\n",
       "      <td>2012-04-12 10:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.177778</td>\n",
       "      <td>17.177778</td>\n",
       "      <td>0.42</td>\n",
       "      <td>25.3414</td>\n",
       "      <td>221</td>\n",
       "      <td>11.1573</td>\n",
       "      <td>1002.61</td>\n",
       "      <td>Light rain in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52693</th>\n",
       "      <td>2012-04-12 11:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.183333</td>\n",
       "      <td>16.183333</td>\n",
       "      <td>0.41</td>\n",
       "      <td>28.2877</td>\n",
       "      <td>221</td>\n",
       "      <td>11.1090</td>\n",
       "      <td>1002.67</td>\n",
       "      <td>Light rain in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52695</th>\n",
       "      <td>2012-04-12 13:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.183333</td>\n",
       "      <td>16.183333</td>\n",
       "      <td>0.47</td>\n",
       "      <td>24.2466</td>\n",
       "      <td>238</td>\n",
       "      <td>11.1573</td>\n",
       "      <td>1002.65</td>\n",
       "      <td>Light rain in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52696</th>\n",
       "      <td>2012-04-12 14:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.244444</td>\n",
       "      <td>16.244444</td>\n",
       "      <td>0.43</td>\n",
       "      <td>29.8816</td>\n",
       "      <td>258</td>\n",
       "      <td>11.1573</td>\n",
       "      <td>1002.91</td>\n",
       "      <td>Light rain in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52698</th>\n",
       "      <td>2012-04-12 16:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.183333</td>\n",
       "      <td>15.183333</td>\n",
       "      <td>0.50</td>\n",
       "      <td>26.8548</td>\n",
       "      <td>287</td>\n",
       "      <td>11.1573</td>\n",
       "      <td>1003.79</td>\n",
       "      <td>Light rain in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52699</th>\n",
       "      <td>2012-04-12 17:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.455556</td>\n",
       "      <td>12.455556</td>\n",
       "      <td>0.52</td>\n",
       "      <td>17.6134</td>\n",
       "      <td>286</td>\n",
       "      <td>11.1573</td>\n",
       "      <td>1004.83</td>\n",
       "      <td>Light rain in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52701</th>\n",
       "      <td>2012-04-12 19:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.983333</td>\n",
       "      <td>7.983333</td>\n",
       "      <td>0.70</td>\n",
       "      <td>1.7388</td>\n",
       "      <td>305</td>\n",
       "      <td>11.5920</td>\n",
       "      <td>1006.85</td>\n",
       "      <td>Light rain in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52702</th>\n",
       "      <td>2012-04-12 20:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.905556</td>\n",
       "      <td>6.905556</td>\n",
       "      <td>0.77</td>\n",
       "      <td>2.1091</td>\n",
       "      <td>112</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>1006.81</td>\n",
       "      <td>Light rain in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52704</th>\n",
       "      <td>2012-04-12 22:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.283333</td>\n",
       "      <td>5.283333</td>\n",
       "      <td>0.86</td>\n",
       "      <td>3.7996</td>\n",
       "      <td>131</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>1006.68</td>\n",
       "      <td>Mostly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52705</th>\n",
       "      <td>2012-04-12 23:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.688889</td>\n",
       "      <td>3.133333</td>\n",
       "      <td>0.83</td>\n",
       "      <td>6.7781</td>\n",
       "      <td>162</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>1007.08</td>\n",
       "      <td>Mostly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Formatted Date        Summary Precip Type  Temperature (C)  \\\n",
       "52672 2012-04-11 14:00:00+00:00  Mostly Cloudy         NaN        19.016667   \n",
       "52674 2012-04-11 16:00:00+00:00  Mostly Cloudy         NaN        17.850000   \n",
       "52675 2012-04-11 17:00:00+00:00  Mostly Cloudy         NaN        16.322222   \n",
       "52677 2012-04-11 19:00:00+00:00  Mostly Cloudy         NaN        12.566667   \n",
       "52678 2012-04-11 20:00:00+00:00  Mostly Cloudy         NaN        12.927778   \n",
       "52680 2012-04-11 22:00:00+00:00  Mostly Cloudy         NaN        10.100000   \n",
       "52681 2012-04-11 23:00:00+00:00  Partly Cloudy         NaN        10.183333   \n",
       "52683 2012-04-12 01:00:00+00:00  Mostly Cloudy         NaN        10.700000   \n",
       "52684 2012-04-12 02:00:00+00:00  Partly Cloudy         NaN         9.744444   \n",
       "52687 2012-04-12 05:00:00+00:00  Mostly Cloudy         NaN        10.055556   \n",
       "52692 2012-04-12 10:00:00+00:00  Partly Cloudy         NaN        17.177778   \n",
       "52693 2012-04-12 11:00:00+00:00  Partly Cloudy         NaN        16.183333   \n",
       "52695 2012-04-12 13:00:00+00:00  Partly Cloudy         NaN        16.183333   \n",
       "52696 2012-04-12 14:00:00+00:00  Partly Cloudy         NaN        16.244444   \n",
       "52698 2012-04-12 16:00:00+00:00  Partly Cloudy         NaN        15.183333   \n",
       "52699 2012-04-12 17:00:00+00:00  Partly Cloudy         NaN        12.455556   \n",
       "52701 2012-04-12 19:00:00+00:00  Partly Cloudy         NaN         7.983333   \n",
       "52702 2012-04-12 20:00:00+00:00  Partly Cloudy         NaN         6.905556   \n",
       "52704 2012-04-12 22:00:00+00:00  Partly Cloudy         NaN         5.283333   \n",
       "52705 2012-04-12 23:00:00+00:00  Partly Cloudy         NaN         4.688889   \n",
       "\n",
       "       Apparent Temperature (C)  Humidity  Wind Speed (km/h)  \\\n",
       "52672                 19.016667      0.26            14.8764   \n",
       "52674                 17.850000      0.28            13.7977   \n",
       "52675                 16.322222      0.32            10.8192   \n",
       "52677                 12.566667      0.43             9.0160   \n",
       "52678                 12.927778      0.47            17.6295   \n",
       "52680                 10.100000      0.61            11.3666   \n",
       "52681                 10.183333      0.64             7.2128   \n",
       "52683                 10.700000      0.70            14.6993   \n",
       "52684                  8.022222      0.73            11.9623   \n",
       "52687                 10.055556      0.76            13.9748   \n",
       "52692                 17.177778      0.42            25.3414   \n",
       "52693                 16.183333      0.41            28.2877   \n",
       "52695                 16.183333      0.47            24.2466   \n",
       "52696                 16.244444      0.43            29.8816   \n",
       "52698                 15.183333      0.50            26.8548   \n",
       "52699                 12.455556      0.52            17.6134   \n",
       "52701                  7.983333      0.70             1.7388   \n",
       "52702                  6.905556      0.77             2.1091   \n",
       "52704                  5.283333      0.86             3.7996   \n",
       "52705                  3.133333      0.83             6.7781   \n",
       "\n",
       "       Wind Bearing (degrees)  Visibility (km)  Pressure (millibars)  \\\n",
       "52672                     163           9.9820               1002.40   \n",
       "52674                     169           9.9820               1001.79   \n",
       "52675                     151           9.9820               1001.60   \n",
       "52677                     159           9.9820               1001.92   \n",
       "52678                     197          16.1000               1002.20   \n",
       "52680                     180          16.1000               1002.25   \n",
       "52681                     150          16.1000               1002.05   \n",
       "52683                     133          16.1000               1001.42   \n",
       "52684                     142          16.1000               1001.11   \n",
       "52687                     213          11.1090               1001.22   \n",
       "52692                     221          11.1573               1002.61   \n",
       "52693                     221          11.1090               1002.67   \n",
       "52695                     238          11.1573               1002.65   \n",
       "52696                     258          11.1573               1002.91   \n",
       "52698                     287          11.1573               1003.79   \n",
       "52699                     286          11.1573               1004.83   \n",
       "52701                     305          11.5920               1006.85   \n",
       "52702                     112          16.1000               1006.81   \n",
       "52704                     131          16.1000               1006.68   \n",
       "52705                     162          16.1000               1007.08   \n",
       "\n",
       "                           Daily Summary  \n",
       "52672         Mostly cloudy until night.  \n",
       "52674         Mostly cloudy until night.  \n",
       "52675         Mostly cloudy until night.  \n",
       "52677         Mostly cloudy until night.  \n",
       "52678         Mostly cloudy until night.  \n",
       "52680         Light rain in the morning.  \n",
       "52681         Light rain in the morning.  \n",
       "52683         Light rain in the morning.  \n",
       "52684         Light rain in the morning.  \n",
       "52687         Light rain in the morning.  \n",
       "52692         Light rain in the morning.  \n",
       "52693         Light rain in the morning.  \n",
       "52695         Light rain in the morning.  \n",
       "52696         Light rain in the morning.  \n",
       "52698         Light rain in the morning.  \n",
       "52699         Light rain in the morning.  \n",
       "52701         Light rain in the morning.  \n",
       "52702         Light rain in the morning.  \n",
       "52704  Mostly cloudy throughout the day.  \n",
       "52705  Mostly cloudy throughout the day.  "
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#DataFrame for only NaN Values for exploration.\n",
    "df_null = df[df.isna().any(axis=1)]\n",
    "df_null.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "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>Formatted Date</th>\n",
       "      <th>Summary</th>\n",
       "      <th>Precip Type</th>\n",
       "      <th>Temperature (C)</th>\n",
       "      <th>Apparent Temperature (C)</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>Wind Speed (km/h)</th>\n",
       "      <th>Wind Bearing (degrees)</th>\n",
       "      <th>Visibility (km)</th>\n",
       "      <th>Pressure (millibars)</th>\n",
       "      <th>Daily Summary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>95569</th>\n",
       "      <td>2016-10-31 03:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.905556</td>\n",
       "      <td>1.905556</td>\n",
       "      <td>0.88</td>\n",
       "      <td>4.7656</td>\n",
       "      <td>246</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1024.98</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95570</th>\n",
       "      <td>2016-10-31 04:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.894444</td>\n",
       "      <td>0.088889</td>\n",
       "      <td>0.89</td>\n",
       "      <td>6.2146</td>\n",
       "      <td>245</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1024.84</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95571</th>\n",
       "      <td>2016-10-31 05:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.983333</td>\n",
       "      <td>-0.133333</td>\n",
       "      <td>0.91</td>\n",
       "      <td>7.1645</td>\n",
       "      <td>252</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1024.81</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95572</th>\n",
       "      <td>2016-10-31 06:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.494444</td>\n",
       "      <td>0.227778</td>\n",
       "      <td>0.90</td>\n",
       "      <td>7.9373</td>\n",
       "      <td>258</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1024.76</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95573</th>\n",
       "      <td>2016-10-31 07:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.766667</td>\n",
       "      <td>1.561111</td>\n",
       "      <td>0.86</td>\n",
       "      <td>8.5169</td>\n",
       "      <td>258</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1024.65</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95574</th>\n",
       "      <td>2016-10-31 08:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.688889</td>\n",
       "      <td>3.783333</td>\n",
       "      <td>0.80</td>\n",
       "      <td>8.7262</td>\n",
       "      <td>259</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1024.48</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95575</th>\n",
       "      <td>2016-10-31 09:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.688889</td>\n",
       "      <td>6.177778</td>\n",
       "      <td>0.75</td>\n",
       "      <td>8.5813</td>\n",
       "      <td>264</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1024.20</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95576</th>\n",
       "      <td>2016-10-31 10:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.594444</td>\n",
       "      <td>7.972222</td>\n",
       "      <td>0.71</td>\n",
       "      <td>11.1251</td>\n",
       "      <td>276</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1023.70</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95577</th>\n",
       "      <td>2016-10-31 11:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.494444</td>\n",
       "      <td>11.494444</td>\n",
       "      <td>0.69</td>\n",
       "      <td>14.0553</td>\n",
       "      <td>284</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1023.06</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95578</th>\n",
       "      <td>2016-10-31 12:00:00+00:00</td>\n",
       "      <td>Clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.766667</td>\n",
       "      <td>12.766667</td>\n",
       "      <td>0.67</td>\n",
       "      <td>22.5400</td>\n",
       "      <td>286</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1022.49</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95579</th>\n",
       "      <td>2016-10-31 13:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.022222</td>\n",
       "      <td>13.022222</td>\n",
       "      <td>0.68</td>\n",
       "      <td>14.1680</td>\n",
       "      <td>291</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1022.12</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95580</th>\n",
       "      <td>2016-10-31 14:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.538889</td>\n",
       "      <td>12.538889</td>\n",
       "      <td>0.71</td>\n",
       "      <td>10.9641</td>\n",
       "      <td>293</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1021.90</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95581</th>\n",
       "      <td>2016-10-31 15:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.755556</td>\n",
       "      <td>11.755556</td>\n",
       "      <td>0.74</td>\n",
       "      <td>8.3237</td>\n",
       "      <td>294</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1021.75</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95582</th>\n",
       "      <td>2016-10-31 16:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.688889</td>\n",
       "      <td>10.688889</td>\n",
       "      <td>0.78</td>\n",
       "      <td>7.5187</td>\n",
       "      <td>293</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1021.69</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95583</th>\n",
       "      <td>2016-10-31 17:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.394444</td>\n",
       "      <td>8.377778</td>\n",
       "      <td>0.82</td>\n",
       "      <td>7.6797</td>\n",
       "      <td>290</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1021.70</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95584</th>\n",
       "      <td>2016-10-31 18:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.322222</td>\n",
       "      <td>7.044444</td>\n",
       "      <td>0.85</td>\n",
       "      <td>8.0339</td>\n",
       "      <td>290</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1021.73</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95585</th>\n",
       "      <td>2016-10-31 19:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.627778</td>\n",
       "      <td>6.183333</td>\n",
       "      <td>0.87</td>\n",
       "      <td>8.2271</td>\n",
       "      <td>293</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1021.76</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95586</th>\n",
       "      <td>2016-10-31 20:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.111111</td>\n",
       "      <td>5.511111</td>\n",
       "      <td>0.89</td>\n",
       "      <td>8.5008</td>\n",
       "      <td>297</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1021.81</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95587</th>\n",
       "      <td>2016-10-31 21:00:00+00:00</td>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.672222</td>\n",
       "      <td>4.961111</td>\n",
       "      <td>0.90</td>\n",
       "      <td>8.6457</td>\n",
       "      <td>299</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1021.83</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95588</th>\n",
       "      <td>2016-10-31 22:00:00+00:00</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.322222</td>\n",
       "      <td>4.588889</td>\n",
       "      <td>0.91</td>\n",
       "      <td>8.4686</td>\n",
       "      <td>299</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1021.80</td>\n",
       "      <td>Mostly cloudy starting in the afternoon.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Formatted Date        Summary Precip Type  Temperature (C)  \\\n",
       "95569 2016-10-31 03:00:00+00:00          Clear         NaN         1.905556   \n",
       "95570 2016-10-31 04:00:00+00:00          Clear         NaN         1.894444   \n",
       "95571 2016-10-31 05:00:00+00:00          Clear         NaN         1.983333   \n",
       "95572 2016-10-31 06:00:00+00:00          Clear         NaN         2.494444   \n",
       "95573 2016-10-31 07:00:00+00:00          Clear         NaN         3.766667   \n",
       "95574 2016-10-31 08:00:00+00:00          Clear         NaN         5.688889   \n",
       "95575 2016-10-31 09:00:00+00:00          Clear         NaN         7.688889   \n",
       "95576 2016-10-31 10:00:00+00:00          Clear         NaN         9.594444   \n",
       "95577 2016-10-31 11:00:00+00:00          Clear         NaN        11.494444   \n",
       "95578 2016-10-31 12:00:00+00:00          Clear         NaN        12.766667   \n",
       "95579 2016-10-31 13:00:00+00:00  Partly Cloudy         NaN        13.022222   \n",
       "95580 2016-10-31 14:00:00+00:00  Partly Cloudy         NaN        12.538889   \n",
       "95581 2016-10-31 15:00:00+00:00  Mostly Cloudy         NaN        11.755556   \n",
       "95582 2016-10-31 16:00:00+00:00  Mostly Cloudy         NaN        10.688889   \n",
       "95583 2016-10-31 17:00:00+00:00  Mostly Cloudy         NaN         9.394444   \n",
       "95584 2016-10-31 18:00:00+00:00  Mostly Cloudy         NaN         8.322222   \n",
       "95585 2016-10-31 19:00:00+00:00  Mostly Cloudy         NaN         7.627778   \n",
       "95586 2016-10-31 20:00:00+00:00  Mostly Cloudy         NaN         7.111111   \n",
       "95587 2016-10-31 21:00:00+00:00  Partly Cloudy         NaN         6.672222   \n",
       "95588 2016-10-31 22:00:00+00:00  Mostly Cloudy         NaN         6.322222   \n",
       "\n",
       "       Apparent Temperature (C)  Humidity  Wind Speed (km/h)  \\\n",
       "95569                  1.905556      0.88             4.7656   \n",
       "95570                  0.088889      0.89             6.2146   \n",
       "95571                 -0.133333      0.91             7.1645   \n",
       "95572                  0.227778      0.90             7.9373   \n",
       "95573                  1.561111      0.86             8.5169   \n",
       "95574                  3.783333      0.80             8.7262   \n",
       "95575                  6.177778      0.75             8.5813   \n",
       "95576                  7.972222      0.71            11.1251   \n",
       "95577                 11.494444      0.69            14.0553   \n",
       "95578                 12.766667      0.67            22.5400   \n",
       "95579                 13.022222      0.68            14.1680   \n",
       "95580                 12.538889      0.71            10.9641   \n",
       "95581                 11.755556      0.74             8.3237   \n",
       "95582                 10.688889      0.78             7.5187   \n",
       "95583                  8.377778      0.82             7.6797   \n",
       "95584                  7.044444      0.85             8.0339   \n",
       "95585                  6.183333      0.87             8.2271   \n",
       "95586                  5.511111      0.89             8.5008   \n",
       "95587                  4.961111      0.90             8.6457   \n",
       "95588                  4.588889      0.91             8.4686   \n",
       "\n",
       "       Wind Bearing (degrees)  Visibility (km)  Pressure (millibars)  \\\n",
       "95569                     246              0.0               1024.98   \n",
       "95570                     245              0.0               1024.84   \n",
       "95571                     252              0.0               1024.81   \n",
       "95572                     258              0.0               1024.76   \n",
       "95573                     258              0.0               1024.65   \n",
       "95574                     259              0.0               1024.48   \n",
       "95575                     264              0.0               1024.20   \n",
       "95576                     276              0.0               1023.70   \n",
       "95577                     284              0.0               1023.06   \n",
       "95578                     286              0.0               1022.49   \n",
       "95579                     291              0.0               1022.12   \n",
       "95580                     293              0.0               1021.90   \n",
       "95581                     294              0.0               1021.75   \n",
       "95582                     293              0.0               1021.69   \n",
       "95583                     290              0.0               1021.70   \n",
       "95584                     290              0.0               1021.73   \n",
       "95585                     293              0.0               1021.76   \n",
       "95586                     297              0.0               1021.81   \n",
       "95587                     299              0.0               1021.83   \n",
       "95588                     299              0.0               1021.80   \n",
       "\n",
       "                                  Daily Summary  \n",
       "95569  Mostly cloudy starting in the afternoon.  \n",
       "95570  Mostly cloudy starting in the afternoon.  \n",
       "95571  Mostly cloudy starting in the afternoon.  \n",
       "95572  Mostly cloudy starting in the afternoon.  \n",
       "95573  Mostly cloudy starting in the afternoon.  \n",
       "95574  Mostly cloudy starting in the afternoon.  \n",
       "95575  Mostly cloudy starting in the afternoon.  \n",
       "95576  Mostly cloudy starting in the afternoon.  \n",
       "95577  Mostly cloudy starting in the afternoon.  \n",
       "95578  Mostly cloudy starting in the afternoon.  \n",
       "95579  Mostly cloudy starting in the afternoon.  \n",
       "95580  Mostly cloudy starting in the afternoon.  \n",
       "95581  Mostly cloudy starting in the afternoon.  \n",
       "95582  Mostly cloudy starting in the afternoon.  \n",
       "95583  Mostly cloudy starting in the afternoon.  \n",
       "95584  Mostly cloudy starting in the afternoon.  \n",
       "95585  Mostly cloudy starting in the afternoon.  \n",
       "95586  Mostly cloudy starting in the afternoon.  \n",
       "95587  Mostly cloudy starting in the afternoon.  \n",
       "95588  Mostly cloudy starting in the afternoon.  "
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_null.tail(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(95936, 11)"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Droping NaN(Not a Number)\n",
    "df_target = df.dropna()\n",
    "df_target.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 95936 entries, 0 to 96452\n",
      "Data columns (total 11 columns):\n",
      " #   Column                    Non-Null Count  Dtype              \n",
      "---  ------                    --------------  -----              \n",
      " 0   Formatted Date            95936 non-null  datetime64[ns, UTC]\n",
      " 1   Summary                   95936 non-null  object             \n",
      " 2   Precip Type               95936 non-null  object             \n",
      " 3   Temperature (C)           95936 non-null  float64            \n",
      " 4   Apparent Temperature (C)  95936 non-null  float64            \n",
      " 5   Humidity                  95936 non-null  float64            \n",
      " 6   Wind Speed (km/h)         95936 non-null  float64            \n",
      " 7   Wind Bearing (degrees)    95936 non-null  int64              \n",
      " 8   Visibility (km)           95936 non-null  float64            \n",
      " 9   Pressure (millibars)      95936 non-null  float64            \n",
      " 10  Daily Summary             95936 non-null  object             \n",
      "dtypes: datetime64[ns, UTC](1), float64(6), int64(1), object(3)\n",
      "memory usage: 7.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df_target.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Formatted Date', 'Summary', 'Precip Type', 'Temperature (C)',\n",
       "       'Apparent Temperature (C)', 'Humidity', 'Wind Speed (km/h)',\n",
       "       'Wind Bearing (degrees)', 'Visibility (km)', 'Pressure (millibars)',\n",
       "       'Daily Summary'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_target.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "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>Summary</th>\n",
       "      <th>Precip Type</th>\n",
       "      <th>Temperature (C)</th>\n",
       "      <th>Apparent Temperature (C)</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>Wind Speed (km/h)</th>\n",
       "      <th>Wind Bearing (degrees)</th>\n",
       "      <th>Visibility (km)</th>\n",
       "      <th>Pressure (millibars)</th>\n",
       "      <th>Daily Summary</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Formatted Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2006-03-31 22:00:00+00:00</th>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>9.472222</td>\n",
       "      <td>7.388889</td>\n",
       "      <td>0.89</td>\n",
       "      <td>14.1197</td>\n",
       "      <td>251</td>\n",
       "      <td>15.8263</td>\n",
       "      <td>1015.13</td>\n",
       "      <td>Partly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-03-31 23:00:00+00:00</th>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>9.355556</td>\n",
       "      <td>7.227778</td>\n",
       "      <td>0.86</td>\n",
       "      <td>14.2646</td>\n",
       "      <td>259</td>\n",
       "      <td>15.8263</td>\n",
       "      <td>1015.63</td>\n",
       "      <td>Partly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-04-01 00:00:00+00:00</th>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>9.377778</td>\n",
       "      <td>9.377778</td>\n",
       "      <td>0.89</td>\n",
       "      <td>3.9284</td>\n",
       "      <td>204</td>\n",
       "      <td>14.9569</td>\n",
       "      <td>1015.94</td>\n",
       "      <td>Partly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-04-01 01:00:00+00:00</th>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>8.288889</td>\n",
       "      <td>5.944444</td>\n",
       "      <td>0.83</td>\n",
       "      <td>14.1036</td>\n",
       "      <td>269</td>\n",
       "      <td>15.8263</td>\n",
       "      <td>1016.41</td>\n",
       "      <td>Partly cloudy throughout the day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-04-01 02:00:00+00:00</th>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>8.755556</td>\n",
       "      <td>6.977778</td>\n",
       "      <td>0.83</td>\n",
       "      <td>11.0446</td>\n",
       "      <td>259</td>\n",
       "      <td>15.8263</td>\n",
       "      <td>1016.51</td>\n",
       "      <td>Partly cloudy throughout the day.</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-09 17:00:00+00:00</th>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>26.016667</td>\n",
       "      <td>26.016667</td>\n",
       "      <td>0.43</td>\n",
       "      <td>10.9963</td>\n",
       "      <td>31</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>1014.36</td>\n",
       "      <td>Partly cloudy starting in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-09 18:00:00+00:00</th>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>24.583333</td>\n",
       "      <td>24.583333</td>\n",
       "      <td>0.48</td>\n",
       "      <td>10.0947</td>\n",
       "      <td>20</td>\n",
       "      <td>15.5526</td>\n",
       "      <td>1015.16</td>\n",
       "      <td>Partly cloudy starting in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-09 19:00:00+00:00</th>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>22.038889</td>\n",
       "      <td>22.038889</td>\n",
       "      <td>0.56</td>\n",
       "      <td>8.9838</td>\n",
       "      <td>30</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>1015.66</td>\n",
       "      <td>Partly cloudy starting in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-09 20:00:00+00:00</th>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>21.522222</td>\n",
       "      <td>21.522222</td>\n",
       "      <td>0.60</td>\n",
       "      <td>10.5294</td>\n",
       "      <td>20</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>1015.95</td>\n",
       "      <td>Partly cloudy starting in the morning.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-09 21:00:00+00:00</th>\n",
       "      <td>Partly Cloudy</td>\n",
       "      <td>rain</td>\n",
       "      <td>20.438889</td>\n",
       "      <td>20.438889</td>\n",
       "      <td>0.61</td>\n",
       "      <td>5.8765</td>\n",
       "      <td>39</td>\n",
       "      <td>15.5204</td>\n",
       "      <td>1016.16</td>\n",
       "      <td>Partly cloudy starting in the morning.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>95936 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 Summary Precip Type  Temperature (C)  \\\n",
       "Formatted Date                                                          \n",
       "2006-03-31 22:00:00+00:00  Partly Cloudy        rain         9.472222   \n",
       "2006-03-31 23:00:00+00:00  Partly Cloudy        rain         9.355556   \n",
       "2006-04-01 00:00:00+00:00  Mostly Cloudy        rain         9.377778   \n",
       "2006-04-01 01:00:00+00:00  Partly Cloudy        rain         8.288889   \n",
       "2006-04-01 02:00:00+00:00  Mostly Cloudy        rain         8.755556   \n",
       "...                                  ...         ...              ...   \n",
       "2016-09-09 17:00:00+00:00  Partly Cloudy        rain        26.016667   \n",
       "2016-09-09 18:00:00+00:00  Partly Cloudy        rain        24.583333   \n",
       "2016-09-09 19:00:00+00:00  Partly Cloudy        rain        22.038889   \n",
       "2016-09-09 20:00:00+00:00  Partly Cloudy        rain        21.522222   \n",
       "2016-09-09 21:00:00+00:00  Partly Cloudy        rain        20.438889   \n",
       "\n",
       "                           Apparent Temperature (C)  Humidity  \\\n",
       "Formatted Date                                                  \n",
       "2006-03-31 22:00:00+00:00                  7.388889      0.89   \n",
       "2006-03-31 23:00:00+00:00                  7.227778      0.86   \n",
       "2006-04-01 00:00:00+00:00                  9.377778      0.89   \n",
       "2006-04-01 01:00:00+00:00                  5.944444      0.83   \n",
       "2006-04-01 02:00:00+00:00                  6.977778      0.83   \n",
       "...                                             ...       ...   \n",
       "2016-09-09 17:00:00+00:00                 26.016667      0.43   \n",
       "2016-09-09 18:00:00+00:00                 24.583333      0.48   \n",
       "2016-09-09 19:00:00+00:00                 22.038889      0.56   \n",
       "2016-09-09 20:00:00+00:00                 21.522222      0.60   \n",
       "2016-09-09 21:00:00+00:00                 20.438889      0.61   \n",
       "\n",
       "                           Wind Speed (km/h)  Wind Bearing (degrees)  \\\n",
       "Formatted Date                                                         \n",
       "2006-03-31 22:00:00+00:00            14.1197                     251   \n",
       "2006-03-31 23:00:00+00:00            14.2646                     259   \n",
       "2006-04-01 00:00:00+00:00             3.9284                     204   \n",
       "2006-04-01 01:00:00+00:00            14.1036                     269   \n",
       "2006-04-01 02:00:00+00:00            11.0446                     259   \n",
       "...                                      ...                     ...   \n",
       "2016-09-09 17:00:00+00:00            10.9963                      31   \n",
       "2016-09-09 18:00:00+00:00            10.0947                      20   \n",
       "2016-09-09 19:00:00+00:00             8.9838                      30   \n",
       "2016-09-09 20:00:00+00:00            10.5294                      20   \n",
       "2016-09-09 21:00:00+00:00             5.8765                      39   \n",
       "\n",
       "                           Visibility (km)  Pressure (millibars)  \\\n",
       "Formatted Date                                                     \n",
       "2006-03-31 22:00:00+00:00          15.8263               1015.13   \n",
       "2006-03-31 23:00:00+00:00          15.8263               1015.63   \n",
       "2006-04-01 00:00:00+00:00          14.9569               1015.94   \n",
       "2006-04-01 01:00:00+00:00          15.8263               1016.41   \n",
       "2006-04-01 02:00:00+00:00          15.8263               1016.51   \n",
       "...                                    ...                   ...   \n",
       "2016-09-09 17:00:00+00:00          16.1000               1014.36   \n",
       "2016-09-09 18:00:00+00:00          15.5526               1015.16   \n",
       "2016-09-09 19:00:00+00:00          16.1000               1015.66   \n",
       "2016-09-09 20:00:00+00:00          16.1000               1015.95   \n",
       "2016-09-09 21:00:00+00:00          15.5204               1016.16   \n",
       "\n",
       "                                                    Daily Summary  \n",
       "Formatted Date                                                     \n",
       "2006-03-31 22:00:00+00:00       Partly cloudy throughout the day.  \n",
       "2006-03-31 23:00:00+00:00       Partly cloudy throughout the day.  \n",
       "2006-04-01 00:00:00+00:00       Partly cloudy throughout the day.  \n",
       "2006-04-01 01:00:00+00:00       Partly cloudy throughout the day.  \n",
       "2006-04-01 02:00:00+00:00       Partly cloudy throughout the day.  \n",
       "...                                                           ...  \n",
       "2016-09-09 17:00:00+00:00  Partly cloudy starting in the morning.  \n",
       "2016-09-09 18:00:00+00:00  Partly cloudy starting in the morning.  \n",
       "2016-09-09 19:00:00+00:00  Partly cloudy starting in the morning.  \n",
       "2016-09-09 20:00:00+00:00  Partly cloudy starting in the morning.  \n",
       "2016-09-09 21:00:00+00:00  Partly cloudy starting in the morning.  \n",
       "\n",
       "[95936 rows x 10 columns]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_target = df_target.set_index(\"Formatted Date\")\n",
    "df_target"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<strong>Given:</strong> \n",
    "<p>\n",
    "The <Strong>Null Hypothesis H0</Strong> is <Strong>\"Has the Apparent temperature and humidity compared monthly across 10 years of the data indicate an increase due to Global warming\".</Strong>\n",
    "</p>\n",
    "<p>\n",
    "    The <Strong>Alternative Hypothesis H1</Strong> is <Strong>\"Has the Apparent temperature and humidity compared monthly across 10 years of the data not indicate an increase due to Global warming\".</Strong>\n",
    "</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "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>Apparent Temperature (C)</th>\n",
       "      <th>Humidity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Formatted Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2005-12-01 00:00:00+00:00</th>\n",
       "      <td>-4.050000</td>\n",
       "      <td>0.890000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-01-01 00:00:00+00:00</th>\n",
       "      <td>-4.173708</td>\n",
       "      <td>0.834610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-02-01 00:00:00+00:00</th>\n",
       "      <td>-2.990716</td>\n",
       "      <td>0.843467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-03-01 00:00:00+00:00</th>\n",
       "      <td>1.969780</td>\n",
       "      <td>0.778737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-04-01 00:00:00+00:00</th>\n",
       "      <td>12.098827</td>\n",
       "      <td>0.728625</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Apparent Temperature (C)  Humidity\n",
       "Formatted Date                                               \n",
       "2005-12-01 00:00:00+00:00                 -4.050000  0.890000\n",
       "2006-01-01 00:00:00+00:00                 -4.173708  0.834610\n",
       "2006-02-01 00:00:00+00:00                 -2.990716  0.843467\n",
       "2006-03-01 00:00:00+00:00                  1.969780  0.778737\n",
       "2006-04-01 00:00:00+00:00                 12.098827  0.728625"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Creating new DataFrame only for Apparent Temperature and Humidity\n",
    "df_column = ['Apparent Temperature (C)', 'Humidity']\n",
    "df_monthly_mean = df_target[df_column].resample(\"MS\").mean() #MS-Month Starting\n",
    "df_monthly_mean.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"whitegrid\")\n",
    "sns.FacetGrid(df_monthly_mean, height=8).map(plt.scatter, \"Apparent Temperature (C)\", \"Humidity\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Observation:\n",
    "* There can be or may be Linear Relationship between \"Humidity\" and \"Apparent Temperature (C)\" with negative slope."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,6))\n",
    "sns.lineplot(data = df_monthly_mean)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Observation:\n",
    "* \"Humidity\" is remain constant from 2006 - 2016\n",
    "* But \"Apparent Temperature (C)\" is frequently changes from 2006 - 2016."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2D Scatter Plot with Color Coding for each Summary type."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 781.375x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"whitegrid\")\n",
    "sns.FacetGrid(df_target, hue=\"Summary\", height=8).map(plt.scatter, \"Apparent Temperature (C)\", \"Humidity\").add_legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Observation:\n",
    "* There are very few outlier.\n",
    "* Mostly Weather is Clear or Partly Cloudy/Rain in Finland.\n",
    "* Only few days there has a Light Rain or Dry or Dangerously Windy and Partly Cloudy."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Univariate Analysis using PDF:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 925.375x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# For Apparent Temperature (C)\n",
    "sns.FacetGrid(df_target, hue=\"Summary\", height=10).map(sns.distplot, \"Apparent Temperature (C)\").add_legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 925.375x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# For Humidity\n",
    "sns.FacetGrid(df_target, hue=\"Summary\", height=10).map(sns.distplot, \"Humidity\").add_legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Observation: \n",
    "* \"Humidity\" is better Feature than \"Apparent Temperature (C)\"."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conclusion:\n",
    "H0 is not accepted because there is no change in Humidity from 2006–2016. So, we will accept the H1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}