ass2practise.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>id</th>\n",
       "      <th>name</th>\n",
       "      <th>host_id</th>\n",
       "      <th>host_name</th>\n",
       "      <th>neighbourhood_group</th>\n",
       "      <th>neighbourhood</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>room_type</th>\n",
       "      <th>price</th>\n",
       "      <th>minimum_nights</th>\n",
       "      <th>number_of_reviews</th>\n",
       "      <th>last_review</th>\n",
       "      <th>reviews_per_month</th>\n",
       "      <th>calculated_host_listings_count</th>\n",
       "      <th>availability_365</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2539</td>\n",
       "      <td>Clean &amp; quiet apt home by the park</td>\n",
       "      <td>2787</td>\n",
       "      <td>John</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Kensington</td>\n",
       "      <td>40.64749</td>\n",
       "      <td>-73.97237</td>\n",
       "      <td>Private room</td>\n",
       "      <td>149</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>2018-10-19</td>\n",
       "      <td>0.21</td>\n",
       "      <td>6</td>\n",
       "      <td>365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2595</td>\n",
       "      <td>Skylit Midtown Castle</td>\n",
       "      <td>2845</td>\n",
       "      <td>Jennifer</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Midtown</td>\n",
       "      <td>40.75362</td>\n",
       "      <td>-73.98377</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>225</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>2019-05-21</td>\n",
       "      <td>0.38</td>\n",
       "      <td>2</td>\n",
       "      <td>355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3647</td>\n",
       "      <td>THE VILLAGE OF HARLEM....NEW YORK !</td>\n",
       "      <td>4632</td>\n",
       "      <td>Elisabeth</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Harlem</td>\n",
       "      <td>40.80902</td>\n",
       "      <td>-73.94190</td>\n",
       "      <td>Private room</td>\n",
       "      <td>150</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3831</td>\n",
       "      <td>Cozy Entire Floor of Brownstone</td>\n",
       "      <td>4869</td>\n",
       "      <td>LisaRoxanne</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Clinton Hill</td>\n",
       "      <td>40.68514</td>\n",
       "      <td>-73.95976</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>89</td>\n",
       "      <td>1</td>\n",
       "      <td>270</td>\n",
       "      <td>2019-07-05</td>\n",
       "      <td>4.64</td>\n",
       "      <td>1</td>\n",
       "      <td>194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5022</td>\n",
       "      <td>Entire Apt: Spacious Studio/Loft by central park</td>\n",
       "      <td>7192</td>\n",
       "      <td>Laura</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>East Harlem</td>\n",
       "      <td>40.79851</td>\n",
       "      <td>-73.94399</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>80</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>2018-11-19</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48890</th>\n",
       "      <td>36484665</td>\n",
       "      <td>Charming one bedroom - newly renovated rowhouse</td>\n",
       "      <td>8232441</td>\n",
       "      <td>Sabrina</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Bedford-Stuyvesant</td>\n",
       "      <td>40.67853</td>\n",
       "      <td>-73.94995</td>\n",
       "      <td>Private room</td>\n",
       "      <td>70</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48891</th>\n",
       "      <td>36485057</td>\n",
       "      <td>Affordable room in Bushwick/East Williamsburg</td>\n",
       "      <td>6570630</td>\n",
       "      <td>Marisol</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Bushwick</td>\n",
       "      <td>40.70184</td>\n",
       "      <td>-73.93317</td>\n",
       "      <td>Private room</td>\n",
       "      <td>40</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48892</th>\n",
       "      <td>36485431</td>\n",
       "      <td>Sunny Studio at Historical Neighborhood</td>\n",
       "      <td>23492952</td>\n",
       "      <td>Ilgar &amp; Aysel</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Harlem</td>\n",
       "      <td>40.81475</td>\n",
       "      <td>-73.94867</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>115</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48893</th>\n",
       "      <td>36485609</td>\n",
       "      <td>43rd St. Time Square-cozy single bed</td>\n",
       "      <td>30985759</td>\n",
       "      <td>Taz</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Hell's Kitchen</td>\n",
       "      <td>40.75751</td>\n",
       "      <td>-73.99112</td>\n",
       "      <td>Shared room</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48894</th>\n",
       "      <td>36487245</td>\n",
       "      <td>Trendy duplex in the very heart of Hell's Kitchen</td>\n",
       "      <td>68119814</td>\n",
       "      <td>Christophe</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Hell's Kitchen</td>\n",
       "      <td>40.76404</td>\n",
       "      <td>-73.98933</td>\n",
       "      <td>Private room</td>\n",
       "      <td>90</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             id                                               name   host_id  \\\n",
       "0          2539                 Clean & quiet apt home by the park      2787   \n",
       "1          2595                              Skylit Midtown Castle      2845   \n",
       "2          3647                THE VILLAGE OF HARLEM....NEW YORK !      4632   \n",
       "3          3831                    Cozy Entire Floor of Brownstone      4869   \n",
       "4          5022   Entire Apt: Spacious Studio/Loft by central park      7192   \n",
       "48890  36484665    Charming one bedroom - newly renovated rowhouse   8232441   \n",
       "48891  36485057      Affordable room in Bushwick/East Williamsburg   6570630   \n",
       "48892  36485431            Sunny Studio at Historical Neighborhood  23492952   \n",
       "48893  36485609               43rd St. Time Square-cozy single bed  30985759   \n",
       "48894  36487245  Trendy duplex in the very heart of Hell's Kitchen  68119814   \n",
       "\n",
       "           host_name neighbourhood_group       neighbourhood  latitude  \\\n",
       "0               John            Brooklyn          Kensington  40.64749   \n",
       "1           Jennifer           Manhattan             Midtown  40.75362   \n",
       "2          Elisabeth           Manhattan              Harlem  40.80902   \n",
       "3        LisaRoxanne            Brooklyn        Clinton Hill  40.68514   \n",
       "4              Laura           Manhattan         East Harlem  40.79851   \n",
       "48890        Sabrina            Brooklyn  Bedford-Stuyvesant  40.67853   \n",
       "48891        Marisol            Brooklyn            Bushwick  40.70184   \n",
       "48892  Ilgar & Aysel           Manhattan              Harlem  40.81475   \n",
       "48893            Taz           Manhattan      Hell's Kitchen  40.75751   \n",
       "48894     Christophe           Manhattan      Hell's Kitchen  40.76404   \n",
       "\n",
       "       longitude        room_type  price  minimum_nights  number_of_reviews  \\\n",
       "0      -73.97237     Private room    149               1                  9   \n",
       "1      -73.98377  Entire home/apt    225               1                 45   \n",
       "2      -73.94190     Private room    150               3                  0   \n",
       "3      -73.95976  Entire home/apt     89               1                270   \n",
       "4      -73.94399  Entire home/apt     80              10                  9   \n",
       "48890  -73.94995     Private room     70               2                  0   \n",
       "48891  -73.93317     Private room     40               4                  0   \n",
       "48892  -73.94867  Entire home/apt    115              10                  0   \n",
       "48893  -73.99112      Shared room     55               1                  0   \n",
       "48894  -73.98933     Private room     90               7                  0   \n",
       "\n",
       "      last_review  reviews_per_month  calculated_host_listings_count  \\\n",
       "0      2018-10-19               0.21                               6   \n",
       "1      2019-05-21               0.38                               2   \n",
       "2             NaN                NaN                               1   \n",
       "3      2019-07-05               4.64                               1   \n",
       "4      2018-11-19               0.10                               1   \n",
       "48890         NaN                NaN                               2   \n",
       "48891         NaN                NaN                               2   \n",
       "48892         NaN                NaN                               1   \n",
       "48893         NaN                NaN                               6   \n",
       "48894         NaN                NaN                               1   \n",
       "\n",
       "       availability_365  \n",
       "0                   365  \n",
       "1                   355  \n",
       "2                   365  \n",
       "3                   194  \n",
       "4                     0  \n",
       "48890                 9  \n",
       "48891                36  \n",
       "48892                27  \n",
       "48893                 2  \n",
       "48894                23  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#EDA of NewYork City 2019\n",
    "\n",
    "#Libraries for Data Analysis & Wrangling\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.image as mpimg\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "import os\n",
    "\n",
    "#importing csv file using pandas and read_csv command. \n",
    "nyc_data = pd.read_csv('E:\\AB_NYC_2019.csv')\n",
    "\n",
    "#head() method is used to print top 5 rows & tail() method is used to print last 5 row\n",
    "nyc_data.head().append(nyc_data.tail())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             id                                               name   host_id  \\\n",
      "0          2539                 Clean & quiet apt home by the park      2787   \n",
      "1          2595                              Skylit Midtown Castle      2845   \n",
      "2          3647                THE VILLAGE OF HARLEM....NEW YORK !      4632   \n",
      "3          3831                    Cozy Entire Floor of Brownstone      4869   \n",
      "4          5022   Entire Apt: Spacious Studio/Loft by central park      7192   \n",
      "...         ...                                                ...       ...   \n",
      "48890  36484665    Charming one bedroom - newly renovated rowhouse   8232441   \n",
      "48891  36485057      Affordable room in Bushwick/East Williamsburg   6570630   \n",
      "48892  36485431            Sunny Studio at Historical Neighborhood  23492952   \n",
      "48893  36485609               43rd St. Time Square-cozy single bed  30985759   \n",
      "48894  36487245  Trendy duplex in the very heart of Hell's Kitchen  68119814   \n",
      "\n",
      "           host_name neighbourhood_group       neighbourhood  latitude  \\\n",
      "0               John            Brooklyn          Kensington  40.64749   \n",
      "1           Jennifer           Manhattan             Midtown  40.75362   \n",
      "2          Elisabeth           Manhattan              Harlem  40.80902   \n",
      "3        LisaRoxanne            Brooklyn        Clinton Hill  40.68514   \n",
      "4              Laura           Manhattan         East Harlem  40.79851   \n",
      "...              ...                 ...                 ...       ...   \n",
      "48890        Sabrina            Brooklyn  Bedford-Stuyvesant  40.67853   \n",
      "48891        Marisol            Brooklyn            Bushwick  40.70184   \n",
      "48892  Ilgar & Aysel           Manhattan              Harlem  40.81475   \n",
      "48893            Taz           Manhattan      Hell's Kitchen  40.75751   \n",
      "48894     Christophe           Manhattan      Hell's Kitchen  40.76404   \n",
      "\n",
      "       longitude        room_type  price  minimum_nights  number_of_reviews  \\\n",
      "0      -73.97237     Private room    149               1                  9   \n",
      "1      -73.98377  Entire home/apt    225               1                 45   \n",
      "2      -73.94190     Private room    150               3                  0   \n",
      "3      -73.95976  Entire home/apt     89               1                270   \n",
      "4      -73.94399  Entire home/apt     80              10                  9   \n",
      "...          ...              ...    ...             ...                ...   \n",
      "48890  -73.94995     Private room     70               2                  0   \n",
      "48891  -73.93317     Private room     40               4                  0   \n",
      "48892  -73.94867  Entire home/apt    115              10                  0   \n",
      "48893  -73.99112      Shared room     55               1                  0   \n",
      "48894  -73.98933     Private room     90               7                  0   \n",
      "\n",
      "      last_review  reviews_per_month  calculated_host_listings_count  \\\n",
      "0      2018-10-19               0.21                               6   \n",
      "1      2019-05-21               0.38                               2   \n",
      "2             NaN                NaN                               1   \n",
      "3      2019-07-05               4.64                               1   \n",
      "4      2018-11-19               0.10                               1   \n",
      "...           ...                ...                             ...   \n",
      "48890         NaN                NaN                               2   \n",
      "48891         NaN                NaN                               2   \n",
      "48892         NaN                NaN                               1   \n",
      "48893         NaN                NaN                               6   \n",
      "48894         NaN                NaN                               1   \n",
      "\n",
      "       availability_365  \n",
      "0                   365  \n",
      "1                   355  \n",
      "2                   365  \n",
      "3                   194  \n",
      "4                     0  \n",
      "...                 ...  \n",
      "48890                 9  \n",
      "48891                36  \n",
      "48892                27  \n",
      "48893                 2  \n",
      "48894                23  \n",
      "\n",
      "[48895 rows x 16 columns]\n"
     ]
    }
   ],
   "source": [
    "#printing the dataset\n",
    "print(nyc_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 48895 entries, 0 to 48894\n",
      "Data columns (total 16 columns):\n",
      " #   Column                          Non-Null Count  Dtype  \n",
      "---  ------                          --------------  -----  \n",
      " 0   id                              48895 non-null  int64  \n",
      " 1   name                            48879 non-null  object \n",
      " 2   host_id                         48895 non-null  int64  \n",
      " 3   host_name                       48874 non-null  object \n",
      " 4   neighbourhood_group             48895 non-null  object \n",
      " 5   neighbourhood                   48895 non-null  object \n",
      " 6   latitude                        48895 non-null  float64\n",
      " 7   longitude                       48895 non-null  float64\n",
      " 8   room_type                       48895 non-null  object \n",
      " 9   price                           48895 non-null  int64  \n",
      " 10  minimum_nights                  48895 non-null  int64  \n",
      " 11  number_of_reviews               48895 non-null  int64  \n",
      " 12  last_review                     38843 non-null  object \n",
      " 13  reviews_per_month               38843 non-null  float64\n",
      " 14  calculated_host_listings_count  48895 non-null  int64  \n",
      " 15  availability_365                48895 non-null  int64  \n",
      "dtypes: float64(3), int64(7), object(6)\n",
      "memory usage: 6.0+ MB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "#printing the information of the NYC dataset using info() method\n",
    "print(nyc_data.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "id                                  int64\n",
      "name                               object\n",
      "host_id                             int64\n",
      "host_name                          object\n",
      "neighbourhood_group                object\n",
      "neighbourhood                      object\n",
      "latitude                          float64\n",
      "longitude                         float64\n",
      "room_type                          object\n",
      "price                               int64\n",
      "minimum_nights                      int64\n",
      "number_of_reviews                   int64\n",
      "last_review                        object\n",
      "reviews_per_month                 float64\n",
      "calculated_host_listings_count      int64\n",
      "availability_365                    int64\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "#getting dataypes using dtypes() method\n",
    "print(nyc_data.dtypes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                 id       host_id      latitude     longitude         price  \\\n",
      "count  4.889500e+04  4.889500e+04  48895.000000  48895.000000  48895.000000   \n",
      "mean   1.901714e+07  6.762001e+07     40.728949    -73.952170    152.720687   \n",
      "std    1.098311e+07  7.861097e+07      0.054530      0.046157    240.154170   \n",
      "min    2.539000e+03  2.438000e+03     40.499790    -74.244420      0.000000   \n",
      "25%    9.471945e+06  7.822033e+06     40.690100    -73.983070     69.000000   \n",
      "50%    1.967728e+07  3.079382e+07     40.723070    -73.955680    106.000000   \n",
      "75%    2.915218e+07  1.074344e+08     40.763115    -73.936275    175.000000   \n",
      "max    3.648724e+07  2.743213e+08     40.913060    -73.712990  10000.000000   \n",
      "\n",
      "       minimum_nights  number_of_reviews  reviews_per_month  \\\n",
      "count    48895.000000       48895.000000       38843.000000   \n",
      "mean         7.029962          23.274466           1.373221   \n",
      "std         20.510550          44.550582           1.680442   \n",
      "min          1.000000           0.000000           0.010000   \n",
      "25%          1.000000           1.000000           0.190000   \n",
      "50%          3.000000           5.000000           0.720000   \n",
      "75%          5.000000          24.000000           2.020000   \n",
      "max       1250.000000         629.000000          58.500000   \n",
      "\n",
      "       calculated_host_listings_count  availability_365  \n",
      "count                    48895.000000      48895.000000  \n",
      "mean                         7.143982        112.781327  \n",
      "std                         32.952519        131.622289  \n",
      "min                          1.000000          0.000000  \n",
      "25%                          1.000000          0.000000  \n",
      "50%                          1.000000         45.000000  \n",
      "75%                          2.000000        227.000000  \n",
      "max                        327.000000        365.000000  \n"
     ]
    }
   ],
   "source": [
    "#statistics of the given dataest\n",
    "# we use describe() method\n",
    "print(nyc_data.describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          id   name  host_id  host_name  neighbourhood_group  neighbourhood  \\\n",
      "0      False  False    False      False                False          False   \n",
      "1      False  False    False      False                False          False   \n",
      "2      False  False    False      False                False          False   \n",
      "3      False  False    False      False                False          False   \n",
      "4      False  False    False      False                False          False   \n",
      "...      ...    ...      ...        ...                  ...            ...   \n",
      "48890  False  False    False      False                False          False   \n",
      "48891  False  False    False      False                False          False   \n",
      "48892  False  False    False      False                False          False   \n",
      "48893  False  False    False      False                False          False   \n",
      "48894  False  False    False      False                False          False   \n",
      "\n",
      "       latitude  longitude  room_type  price  minimum_nights  \\\n",
      "0         False      False      False  False           False   \n",
      "1         False      False      False  False           False   \n",
      "2         False      False      False  False           False   \n",
      "3         False      False      False  False           False   \n",
      "4         False      False      False  False           False   \n",
      "...         ...        ...        ...    ...             ...   \n",
      "48890     False      False      False  False           False   \n",
      "48891     False      False      False  False           False   \n",
      "48892     False      False      False  False           False   \n",
      "48893     False      False      False  False           False   \n",
      "48894     False      False      False  False           False   \n",
      "\n",
      "       number_of_reviews  last_review  reviews_per_month  \\\n",
      "0                  False        False              False   \n",
      "1                  False        False              False   \n",
      "2                  False         True               True   \n",
      "3                  False        False              False   \n",
      "4                  False        False              False   \n",
      "...                  ...          ...                ...   \n",
      "48890              False         True               True   \n",
      "48891              False         True               True   \n",
      "48892              False         True               True   \n",
      "48893              False         True               True   \n",
      "48894              False         True               True   \n",
      "\n",
      "       calculated_host_listings_count  availability_365  \n",
      "0                               False             False  \n",
      "1                               False             False  \n",
      "2                               False             False  \n",
      "3                               False             False  \n",
      "4                               False             False  \n",
      "...                               ...               ...  \n",
      "48890                           False             False  \n",
      "48891                           False             False  \n",
      "48892                           False             False  \n",
      "48893                           False             False  \n",
      "48894                           False             False  \n",
      "\n",
      "[48895 rows x 16 columns]\n"
     ]
    }
   ],
   "source": [
    "#finding null values using isnull() method\n",
    "print(nyc_data.isnull())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "id                                    0\n",
      "name                                 16\n",
      "host_id                               0\n",
      "host_name                            21\n",
      "neighbourhood_group                   0\n",
      "neighbourhood                         0\n",
      "latitude                              0\n",
      "longitude                             0\n",
      "room_type                             0\n",
      "price                                 0\n",
      "minimum_nights                        0\n",
      "number_of_reviews                     0\n",
      "last_review                       10052\n",
      "reviews_per_month                 10052\n",
      "calculated_host_listings_count        0\n",
      "availability_365                      0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "#calculating the total null values dataset\n",
    "print(nyc_data.isnull().sum())\n",
    "\n",
    "#we've seen that there're 16 null values in names, 21 null values in host_name, 10052 null values in last_review & reviews_per_month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>Missing values</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>reviews_per_month</th>\n",
       "      <td>10052</td>\n",
       "      <td>0.499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>last_review</th>\n",
       "      <td>10052</td>\n",
       "      <td>0.499</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Missing values  Percentage\n",
       "reviews_per_month           10052       0.499\n",
       "last_review                 10052       0.499"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Data cleaning\n",
    "\n",
    "missing_values = nyc_data.isnull().sum().sort_values(ascending=False)\n",
    "\n",
    "percentage_missing_values = round((nyc_data.isnull().sum()/nyc_data.isnull().sum().sum()).sort_values(ascending=False),3)\n",
    "\n",
    "null_in_data = pd.concat([missing_values, percentage_missing_values],keys=['Missing values','Percentage'],axis=1)\n",
    "null_in_data.head(2)\n",
    "\n",
    "#as we see that both reviews_per_month & last_review have same missing values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#bar plot for missing values(reviews_per_month, last_review) using barplot() method\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "missing_plot = sns.barplot(x=missing_values.index[0:2],y=missing_values[0:2],palette='bright')\n",
    "missing_plot.set_xticklabels(missing_plot.get_xticklabels(),rotation=90)\n",
    "plt.title('Missing values in dataset.')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>host_id</th>\n",
       "      <th>neighbourhood_group</th>\n",
       "      <th>neighbourhood</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>room_type</th>\n",
       "      <th>price</th>\n",
       "      <th>minimum_nights</th>\n",
       "      <th>number_of_reviews</th>\n",
       "      <th>reviews_per_month</th>\n",
       "      <th>calculated_host_listings_count</th>\n",
       "      <th>availability_365</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Clean &amp; quiet apt home by the park</td>\n",
       "      <td>2787</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Kensington</td>\n",
       "      <td>40.64749</td>\n",
       "      <td>-73.97237</td>\n",
       "      <td>Private room</td>\n",
       "      <td>149</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>0.21</td>\n",
       "      <td>6</td>\n",
       "      <td>365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Skylit Midtown Castle</td>\n",
       "      <td>2845</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Midtown</td>\n",
       "      <td>40.75362</td>\n",
       "      <td>-73.98377</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>225</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>0.38</td>\n",
       "      <td>2</td>\n",
       "      <td>355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>THE VILLAGE OF HARLEM....NEW YORK !</td>\n",
       "      <td>4632</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Harlem</td>\n",
       "      <td>40.80902</td>\n",
       "      <td>-73.94190</td>\n",
       "      <td>Private room</td>\n",
       "      <td>150</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Cozy Entire Floor of Brownstone</td>\n",
       "      <td>4869</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Clinton Hill</td>\n",
       "      <td>40.68514</td>\n",
       "      <td>-73.95976</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>89</td>\n",
       "      <td>1</td>\n",
       "      <td>270</td>\n",
       "      <td>4.64</td>\n",
       "      <td>1</td>\n",
       "      <td>194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Entire Apt: Spacious Studio/Loft by central park</td>\n",
       "      <td>7192</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>East Harlem</td>\n",
       "      <td>40.79851</td>\n",
       "      <td>-73.94399</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>80</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48890</th>\n",
       "      <td>Charming one bedroom - newly renovated rowhouse</td>\n",
       "      <td>8232441</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Bedford-Stuyvesant</td>\n",
       "      <td>40.67853</td>\n",
       "      <td>-73.94995</td>\n",
       "      <td>Private room</td>\n",
       "      <td>70</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48891</th>\n",
       "      <td>Affordable room in Bushwick/East Williamsburg</td>\n",
       "      <td>6570630</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Bushwick</td>\n",
       "      <td>40.70184</td>\n",
       "      <td>-73.93317</td>\n",
       "      <td>Private room</td>\n",
       "      <td>40</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48892</th>\n",
       "      <td>Sunny Studio at Historical Neighborhood</td>\n",
       "      <td>23492952</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Harlem</td>\n",
       "      <td>40.81475</td>\n",
       "      <td>-73.94867</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>115</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48893</th>\n",
       "      <td>43rd St. Time Square-cozy single bed</td>\n",
       "      <td>30985759</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Hell's Kitchen</td>\n",
       "      <td>40.75751</td>\n",
       "      <td>-73.99112</td>\n",
       "      <td>Shared room</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48894</th>\n",
       "      <td>Trendy duplex in the very heart of Hell's Kitchen</td>\n",
       "      <td>68119814</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Hell's Kitchen</td>\n",
       "      <td>40.76404</td>\n",
       "      <td>-73.98933</td>\n",
       "      <td>Private room</td>\n",
       "      <td>90</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>48895 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    name   host_id  \\\n",
       "0                     Clean & quiet apt home by the park      2787   \n",
       "1                                  Skylit Midtown Castle      2845   \n",
       "2                    THE VILLAGE OF HARLEM....NEW YORK !      4632   \n",
       "3                        Cozy Entire Floor of Brownstone      4869   \n",
       "4       Entire Apt: Spacious Studio/Loft by central park      7192   \n",
       "...                                                  ...       ...   \n",
       "48890    Charming one bedroom - newly renovated rowhouse   8232441   \n",
       "48891      Affordable room in Bushwick/East Williamsburg   6570630   \n",
       "48892            Sunny Studio at Historical Neighborhood  23492952   \n",
       "48893               43rd St. Time Square-cozy single bed  30985759   \n",
       "48894  Trendy duplex in the very heart of Hell's Kitchen  68119814   \n",
       "\n",
       "      neighbourhood_group       neighbourhood  latitude  longitude  \\\n",
       "0                Brooklyn          Kensington  40.64749  -73.97237   \n",
       "1               Manhattan             Midtown  40.75362  -73.98377   \n",
       "2               Manhattan              Harlem  40.80902  -73.94190   \n",
       "3                Brooklyn        Clinton Hill  40.68514  -73.95976   \n",
       "4               Manhattan         East Harlem  40.79851  -73.94399   \n",
       "...                   ...                 ...       ...        ...   \n",
       "48890            Brooklyn  Bedford-Stuyvesant  40.67853  -73.94995   \n",
       "48891            Brooklyn            Bushwick  40.70184  -73.93317   \n",
       "48892           Manhattan              Harlem  40.81475  -73.94867   \n",
       "48893           Manhattan      Hell's Kitchen  40.75751  -73.99112   \n",
       "48894           Manhattan      Hell's Kitchen  40.76404  -73.98933   \n",
       "\n",
       "             room_type  price  minimum_nights  number_of_reviews  \\\n",
       "0         Private room    149               1                  9   \n",
       "1      Entire home/apt    225               1                 45   \n",
       "2         Private room    150               3                  0   \n",
       "3      Entire home/apt     89               1                270   \n",
       "4      Entire home/apt     80              10                  9   \n",
       "...                ...    ...             ...                ...   \n",
       "48890     Private room     70               2                  0   \n",
       "48891     Private room     40               4                  0   \n",
       "48892  Entire home/apt    115              10                  0   \n",
       "48893      Shared room     55               1                  0   \n",
       "48894     Private room     90               7                  0   \n",
       "\n",
       "       reviews_per_month  calculated_host_listings_count  availability_365  \n",
       "0                   0.21                               6               365  \n",
       "1                   0.38                               2               355  \n",
       "2                    NaN                               1               365  \n",
       "3                   4.64                               1               194  \n",
       "4                   0.10                               1                 0  \n",
       "...                  ...                             ...               ...  \n",
       "48890                NaN                               2                 9  \n",
       "48891                NaN                               2                36  \n",
       "48892                NaN                               1                27  \n",
       "48893                NaN                               6                 2  \n",
       "48894                NaN                               1                23  \n",
       "\n",
       "[48895 rows x 13 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#As per my knowledge it's best to dropp columns that are not significant or could be unethical to use for our future data exploration and predictions\n",
    "nyc_data.drop(['id','host_name','last_review'], axis=1, inplace=True)\n",
    "nyc_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#replacing all NaN values in 'reviews_per_month' with 0\n",
    "nyc_data.fillna({'reviews_per_month':0}, inplace=True)\n",
    "\n",
    "nyc_data.reviews_per_month.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Brooklyn', 'Manhattan', 'Queens', 'Staten Island', 'Bronx'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#let's proceed with examing some interesting categorical unique values\n",
    "#examining the unique values of neighbourhood_group as this column will appear very handy for later analysis\n",
    "#unique() function is used to get unique values of Series object. \n",
    "\n",
    "nyc_data.neighbourhood_group.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#printing pie chart using pie() method\n",
    "\n",
    "labels = nyc_data.neighbourhood_group.value_counts().index\n",
    "colors = ['lightblue','beige','lightgreen','orange','cyan']\n",
    "explode = [0,0,0,0,0]\n",
    "sizes = nyc_data.neighbourhood_group.value_counts().values\n",
    "\n",
    "plt.figure(0,figsize = (7,7))\n",
    "plt.pie(sizes, explode=[0.1,0.0,0.3,0.5,0.0], labels=labels, colors=colors, autopct='%1.1f%%',shadow=True)\n",
    "plt.title('Neighbourhood Group',color = 'black',fontsize = 15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#neighbourhood_group-price\n",
    "#printing barplot of price and neighbourhood_group\n",
    "result = nyc_data.groupby([\"neighbourhood_group\"])['price'].aggregate(np.median).reset_index().sort_values('price')\n",
    "sns.barplot(x='neighbourhood_group', y=\"price\", data=nyc_data,palette=colors, order=result['neighbourhood_group']) \n",
    "plt.xticks(rotation=45)\n",
    "plt.show()\n",
    "\n",
    "#As we see that Manhattan has highest price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#neighbourhood_group-availability_365\n",
    "#printing the barplot between neighbourhood_group whose availability is 365 \n",
    "\n",
    "result = nyc_data.groupby([\"neighbourhood_group\"])['availability_365'].aggregate(np.median).reset_index().sort_values('availability_365')\n",
    "sns.boxplot(x='neighbourhood_group', y=\"availability_365\", data=nyc_data) \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Piechart for rooms\n",
    "\n",
    "labels = nyc_data.room_type.value_counts().index\n",
    "colors = ['lightblue','pink','beige']\n",
    "explode = [0,0,0]\n",
    "sizes = nyc_data.room_type.value_counts().values\n",
    "\n",
    "\n",
    "plt.figure(0,figsize = (7,7))\n",
    "plt.pie(sizes, explode=[0,0.05,0.5], labels=labels, colors=colors, autopct='%1.1f%%', shadow=True)\n",
    "# plot.pie(explode=,autopct='%1.1f%%',ax=ax[0],)\n",
    "plt.title('Room-Type',color = 'Brown',fontsize = 15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#room_type-price\n",
    "result = nyc_data.groupby([\"room_type\"])['price'].aggregate(np.median).reset_index().sort_values('price')\n",
    "sns.barplot(x='room_type', y=\"price\", data=nyc_data, order=result['room_type']) \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#room_type-availability_365\n",
    "\n",
    "result = nyc_data.groupby([\"room_type\"])['availability_365'].aggregate(np.median).reset_index().sort_values('availability_365')\n",
    "sns.boxplot(x='room_type', y=\"availability_365\", data=nyc_data, order=result['room_type']) \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#countplot between rooms in different neighbourhood_group\n",
    "\n",
    "plt.figure(figsize=(14,8))\n",
    "sns.countplot(nyc_data.sort_values('neighbourhood_group').neighbourhood_group,hue=nyc_data.room_type)\n",
    "plt.title('Borough wise room type count')\n",
    "plt.xlabel('Borough name')\n",
    "plt.ylabel('Count')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lineplot between availability_365 & price using lineplot() method\n",
    "\n",
    "sns.lineplot(x='availability_365',y='price',data=nyc_data)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#printing scatterplot using scatterplot() method\n",
    "\n",
    "plt.figure(figsize=(10,6))\n",
    "sns.scatterplot(nyc_data.longitude,nyc_data.latitude,hue=nyc_data.neighbourhood_group)\n",
    "plt.ioff() #The ioff() function in pyplot module of matplotlib library is used to turn the interactive mode off."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x161258eb6a0>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Finding outliers\n",
    "#Outliers -  An outlier is a data point in a data set that is distant from all other observations.A data point that lies outside the overall distribution of the dataset.\n",
    "#we're using boxplot for finding outliers.\n",
    "\n",
    "sns.boxplot(nyc_data['price'])\n",
    "\n",
    "#As we seee that there're some values which are out of bound(for eg :- price lie betweens 8000-10000)"
   ]
  }
 ],
 "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}