Boston Airbnb Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Insights of Boston Airbnb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CRISP-DM Process \n",
    "\n",
    "**Business Understanding**\n",
    "\n",
    "Boston Airbnb listing dataset is available on Kaggle, our prime motive is to enlighten traits of given listings.\n",
    "\n",
    "Three questions are raised around the interest:\n",
    "1. What is the price range with highest no. of listings?  \n",
    "2. What are the most popular amenities?  \n",
    "3. What are the top 10 neighbourhood?  \n",
    "\n",
    "**Data Understanding**\n",
    "\n",
    "Boston Airbnb listing has 3585 rows, 95 columns representing listing attributes.\n",
    "\n",
    "**Prepare Data**\n",
    "\n",
    "The preparation includes data cleaning, filling missing value.\n",
    "\n",
    "**Data Modeling**\n",
    "\n",
    "We will use ML models to get some interesting insights.  \n",
    "\n",
    "**Evaluate the Results**\n",
    "\n",
    "Results are summarized in the Medium post.\n",
    "https://medium.com/@divvu/insights-of-boston-airbnb-8d3452d6f8ef?sk=75d5f652dc7235d5bb33a8b76d8b3ace"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Importing Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-26T00:53:44.165231Z",
     "start_time": "2020-01-26T00:53:37.413672Z"
    }
   },
   "outputs": [],
   "source": [
    "# Visualization\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Sklearn ML Modules\n",
    "from sklearn.preprocessing import MultiLabelBinarizer,LabelEncoder,OneHotEncoder,StandardScaler \n",
    "\n",
    "# Dismiss the warnings\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset Observation ##"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-26T00:56:49.679873Z",
     "start_time": "2020-01-26T00:56:49.514879Z"
    }
   },
   "outputs": [],
   "source": [
    "# Import the dataset\n",
    "listing=pd.read_csv('listings.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-26T00:56:50.113557Z",
     "start_time": "2020-01-26T00:56:50.090618Z"
    }
   },
   "outputs": [
    {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>listing_url</th>\n",
       "      <th>scrape_id</th>\n",
       "      <th>last_scraped</th>\n",
       "      <th>name</th>\n",
       "      <th>summary</th>\n",
       "      <th>space</th>\n",
       "      <th>description</th>\n",
       "      <th>experiences_offered</th>\n",
       "      <th>neighborhood_overview</th>\n",
       "      <th>...</th>\n",
       "      <th>review_scores_value</th>\n",
       "      <th>requires_license</th>\n",
       "      <th>license</th>\n",
       "      <th>jurisdiction_names</th>\n",
       "      <th>instant_bookable</th>\n",
       "      <th>cancellation_policy</th>\n",
       "      <th>require_guest_profile_picture</th>\n",
       "      <th>require_guest_phone_verification</th>\n",
       "      <th>calculated_host_listings_count</th>\n",
       "      <th>reviews_per_month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12147973</td>\n",
       "      <td>https://www.airbnb.com/rooms/12147973</td>\n",
       "      <td>20160906204935</td>\n",
       "      <td>2016-09-07</td>\n",
       "      <td>Sunny Bungalow in the City</td>\n",
       "      <td>Cozy, sunny, family home.  Master bedroom high...</td>\n",
       "      <td>The house has an open and cozy feel at the sam...</td>\n",
       "      <td>Cozy, sunny, family home.  Master bedroom high...</td>\n",
       "      <td>none</td>\n",
       "      <td>Roslindale is quiet, convenient and friendly. ...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f</td>\n",
       "      <td>moderate</td>\n",
       "      <td>f</td>\n",
       "      <td>f</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3075044</td>\n",
       "      <td>https://www.airbnb.com/rooms/3075044</td>\n",
       "      <td>20160906204935</td>\n",
       "      <td>2016-09-07</td>\n",
       "      <td>Charming room in pet friendly apt</td>\n",
       "      <td>Charming and quiet room in a second floor 1910...</td>\n",
       "      <td>Small but cozy and quite room with a full size...</td>\n",
       "      <td>Charming and quiet room in a second floor 1910...</td>\n",
       "      <td>none</td>\n",
       "      <td>The room is in Roslindale, a diverse and prima...</td>\n",
       "      <td>...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>f</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>t</td>\n",
       "      <td>moderate</td>\n",
       "      <td>f</td>\n",
       "      <td>f</td>\n",
       "      <td>1</td>\n",
       "      <td>1.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6976</td>\n",
       "      <td>https://www.airbnb.com/rooms/6976</td>\n",
       "      <td>20160906204935</td>\n",
       "      <td>2016-09-07</td>\n",
       "      <td>Mexican Folk Art Haven in Boston</td>\n",
       "      <td>Come stay with a friendly, middle-aged guy in ...</td>\n",
       "      <td>Come stay with a friendly, middle-aged guy in ...</td>\n",
       "      <td>Come stay with a friendly, middle-aged guy in ...</td>\n",
       "      <td>none</td>\n",
       "      <td>The LOCATION: Roslindale is a safe and diverse...</td>\n",
       "      <td>...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>f</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f</td>\n",
       "      <td>moderate</td>\n",
       "      <td>t</td>\n",
       "      <td>f</td>\n",
       "      <td>1</td>\n",
       "      <td>0.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1436513</td>\n",
       "      <td>https://www.airbnb.com/rooms/1436513</td>\n",
       "      <td>20160906204935</td>\n",
       "      <td>2016-09-07</td>\n",
       "      <td>Spacious Sunny Bedroom Suite in Historic Home</td>\n",
       "      <td>Come experience the comforts of home away from...</td>\n",
       "      <td>Most places you find in Boston are small howev...</td>\n",
       "      <td>Come experience the comforts of home away from...</td>\n",
       "      <td>none</td>\n",
       "      <td>Roslindale is a lovely little neighborhood loc...</td>\n",
       "      <td>...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>f</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f</td>\n",
       "      <td>moderate</td>\n",
       "      <td>f</td>\n",
       "      <td>f</td>\n",
       "      <td>1</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7651065</td>\n",
       "      <td>https://www.airbnb.com/rooms/7651065</td>\n",
       "      <td>20160906204935</td>\n",
       "      <td>2016-09-07</td>\n",
       "      <td>Come Home to Boston</td>\n",
       "      <td>My comfy, clean and relaxing home is one block...</td>\n",
       "      <td>Clean, attractive, private room, one block fro...</td>\n",
       "      <td>My comfy, clean and relaxing home is one block...</td>\n",
       "      <td>none</td>\n",
       "      <td>I love the proximity to downtown, the neighbor...</td>\n",
       "      <td>...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>f</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f</td>\n",
       "      <td>flexible</td>\n",
       "      <td>f</td>\n",
       "      <td>f</td>\n",
       "      <td>1</td>\n",
       "      <td>2.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 95 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         id                            listing_url       scrape_id  \\\n",
       "0  12147973  https://www.airbnb.com/rooms/12147973  20160906204935   \n",
       "1   3075044   https://www.airbnb.com/rooms/3075044  20160906204935   \n",
       "2      6976      https://www.airbnb.com/rooms/6976  20160906204935   \n",
       "3   1436513   https://www.airbnb.com/rooms/1436513  20160906204935   \n",
       "4   7651065   https://www.airbnb.com/rooms/7651065  20160906204935   \n",
       "\n",
       "  last_scraped                                           name  \\\n",
       "0   2016-09-07                     Sunny Bungalow in the City   \n",
       "1   2016-09-07              Charming room in pet friendly apt   \n",
       "2   2016-09-07               Mexican Folk Art Haven in Boston   \n",
       "3   2016-09-07  Spacious Sunny Bedroom Suite in Historic Home   \n",
       "4   2016-09-07                            Come Home to Boston   \n",
       "\n",
       "                                             summary  \\\n",
       "0  Cozy, sunny, family home.  Master bedroom high...   \n",
       "1  Charming and quiet room in a second floor 1910...   \n",
       "2  Come stay with a friendly, middle-aged guy in ...   \n",
       "3  Come experience the comforts of home away from...   \n",
       "4  My comfy, clean and relaxing home is one block...   \n",
       "\n",
       "                                               space  \\\n",
       "0  The house has an open and cozy feel at the sam...   \n",
       "1  Small but cozy and quite room with a full size...   \n",
       "2  Come stay with a friendly, middle-aged guy in ...   \n",
       "3  Most places you find in Boston are small howev...   \n",
       "4  Clean, attractive, private room, one block fro...   \n",
       "\n",
       "                                         description experiences_offered  \\\n",
       "0  Cozy, sunny, family home.  Master bedroom high...                none   \n",
       "1  Charming and quiet room in a second floor 1910...                none   \n",
       "2  Come stay with a friendly, middle-aged guy in ...                none   \n",
       "3  Come experience the comforts of home away from...                none   \n",
       "4  My comfy, clean and relaxing home is one block...                none   \n",
       "\n",
       "                               neighborhood_overview  ... review_scores_value  \\\n",
       "0  Roslindale is quiet, convenient and friendly. ...  ...                 NaN   \n",
       "1  The room is in Roslindale, a diverse and prima...  ...                 9.0   \n",
       "2  The LOCATION: Roslindale is a safe and diverse...  ...                10.0   \n",
       "3  Roslindale is a lovely little neighborhood loc...  ...                10.0   \n",
       "4  I love the proximity to downtown, the neighbor...  ...                10.0   \n",
       "\n",
       "  requires_license license jurisdiction_names instant_bookable  \\\n",
       "0                f     NaN                NaN                f   \n",
       "1                f     NaN                NaN                t   \n",
       "2                f     NaN                NaN                f   \n",
       "3                f     NaN                NaN                f   \n",
       "4                f     NaN                NaN                f   \n",
       "\n",
       "  cancellation_policy require_guest_profile_picture  \\\n",
       "0            moderate                             f   \n",
       "1            moderate                             f   \n",
       "2            moderate                             t   \n",
       "3            moderate                             f   \n",
       "4            flexible                             f   \n",
       "\n",
       "  require_guest_phone_verification calculated_host_listings_count  \\\n",
       "0                                f                              1   \n",
       "1                                f                              1   \n",
       "2                                f                              1   \n",
       "3                                f                              1   \n",
       "4                                f                              1   \n",
       "\n",
       "   reviews_per_month  \n",
       "0                NaN  \n",
       "1               1.30  \n",
       "2               0.47  \n",
       "3               1.00  \n",
       "4               2.25  \n",
       "\n",
       "[5 rows x 95 columns]"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Observe the data structure\n",
    "listing.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-26T00:56:50.753398Z",
     "start_time": "2020-01-26T00:56:50.735448Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 3585 entries, 0 to 3584\n",
      "Data columns (total 95 columns):\n",
      "id                                  3585 non-null int64\n",
      "listing_url                         3585 non-null object\n",
      "scrape_id                           3585 non-null int64\n",
      "last_scraped                        3585 non-null object\n",
      "name                                3585 non-null object\n",
      "summary                             3442 non-null object\n",
      "space                               2528 non-null object\n",
      "description                         3585 non-null object\n",
      "experiences_offered                 3585 non-null object\n",
      "neighborhood_overview               2170 non-null object\n",
      "notes                               1610 non-null object\n",
      "transit                             2295 non-null object\n",
      "access                              2096 non-null object\n",
      "interaction                         2031 non-null object\n",
      "house_rules                         2393 non-null object\n",
      "thumbnail_url                       2986 non-null object\n",
      "medium_url                          2986 non-null object\n",
      "picture_url                         3585 non-null object\n",
      "xl_picture_url                      2986 non-null object\n",
      "host_id                             3585 non-null int64\n",
      "host_url                            3585 non-null object\n",
      "host_name                           3585 non-null object\n",
      "host_since                          3585 non-null object\n",
      "host_location                       3574 non-null object\n",
      "host_about                          2276 non-null object\n",
      "host_response_time                  3114 non-null object\n",
      "host_response_rate                  3114 non-null object\n",
      "host_acceptance_rate                3114 non-null object\n",
      "host_is_superhost                   3585 non-null object\n",
      "host_thumbnail_url                  3585 non-null object\n",
      "host_picture_url                    3585 non-null object\n",
      "host_neighbourhood                  3246 non-null object\n",
      "host_listings_count                 3585 non-null int64\n",
      "host_total_listings_count           3585 non-null int64\n",
      "host_verifications                  3585 non-null object\n",
      "host_has_profile_pic                3585 non-null object\n",
      "host_identity_verified              3585 non-null object\n",
      "street                              3585 non-null object\n",
      "neighbourhood                       3042 non-null object\n",
      "neighbourhood_cleansed              3585 non-null object\n",
      "neighbourhood_group_cleansed        0 non-null float64\n",
      "city                                3583 non-null object\n",
      "state                               3585 non-null object\n",
      "zipcode                             3547 non-null object\n",
      "market                              3571 non-null object\n",
      "smart_location                      3585 non-null object\n",
      "country_code                        3585 non-null object\n",
      "country                             3585 non-null object\n",
      "latitude                            3585 non-null float64\n",
      "longitude                           3585 non-null float64\n",
      "is_location_exact                   3585 non-null object\n",
      "property_type                       3582 non-null object\n",
      "room_type                           3585 non-null object\n",
      "accommodates                        3585 non-null int64\n",
      "bathrooms                           3571 non-null float64\n",
      "bedrooms                            3575 non-null float64\n",
      "beds                                3576 non-null float64\n",
      "bed_type                            3585 non-null object\n",
      "amenities                           3585 non-null object\n",
      "square_feet                         56 non-null float64\n",
      "price                               3585 non-null object\n",
      "weekly_price                        892 non-null object\n",
      "monthly_price                       888 non-null object\n",
      "security_deposit                    1342 non-null object\n",
      "cleaning_fee                        2478 non-null object\n",
      "guests_included                     3585 non-null int64\n",
      "extra_people                        3585 non-null object\n",
      "minimum_nights                      3585 non-null int64\n",
      "maximum_nights                      3585 non-null int64\n",
      "calendar_updated                    3585 non-null object\n",
      "has_availability                    0 non-null float64\n",
      "availability_30                     3585 non-null int64\n",
      "availability_60                     3585 non-null int64\n",
      "availability_90                     3585 non-null int64\n",
      "availability_365                    3585 non-null int64\n",
      "calendar_last_scraped               3585 non-null object\n",
      "number_of_reviews                   3585 non-null int64\n",
      "first_review                        2829 non-null object\n",
      "last_review                         2829 non-null object\n",
      "review_scores_rating                2772 non-null float64\n",
      "review_scores_accuracy              2762 non-null float64\n",
      "review_scores_cleanliness           2767 non-null float64\n",
      "review_scores_checkin               2765 non-null float64\n",
      "review_scores_communication         2767 non-null float64\n",
      "review_scores_location              2763 non-null float64\n",
      "review_scores_value                 2764 non-null float64\n",
      "requires_license                    3585 non-null object\n",
      "license                             0 non-null float64\n",
      "jurisdiction_names                  0 non-null float64\n",
      "instant_bookable                    3585 non-null object\n",
      "cancellation_policy                 3585 non-null object\n",
      "require_guest_profile_picture       3585 non-null object\n",
      "require_guest_phone_verification    3585 non-null object\n",
      "calculated_host_listings_count      3585 non-null int64\n",
      "reviews_per_month                   2829 non-null float64\n",
      "dtypes: float64(18), int64(15), object(62)\n",
      "memory usage: 2.6+ MB\n"
     ]
    }
   ],
   "source": [
    "# Describe the dataset\n",
    "listing.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-26T00:56:53.950756Z",
     "start_time": "2020-01-26T00:56:53.930079Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                                  0.000000\n",
       "listing_url                         0.000000\n",
       "scrape_id                           0.000000\n",
       "last_scraped                        0.000000\n",
       "name                                0.000000\n",
       "summary                             0.039888\n",
       "space                               0.294840\n",
       "description                         0.000000\n",
       "experiences_offered                 0.000000\n",
       "neighborhood_overview               0.394700\n",
       "notes                               0.550907\n",
       "transit                             0.359833\n",
       "access                              0.415342\n",
       "interaction                         0.433473\n",
       "house_rules                         0.332497\n",
       "thumbnail_url                       0.167085\n",
       "medium_url                          0.167085\n",
       "picture_url                         0.000000\n",
       "xl_picture_url                      0.167085\n",
       "host_id                             0.000000\n",
       "host_url                            0.000000\n",
       "host_name                           0.000000\n",
       "host_since                          0.000000\n",
       "host_location                       0.003068\n",
       "host_about                          0.365132\n",
       "host_response_time                  0.131381\n",
       "host_response_rate                  0.131381\n",
       "host_acceptance_rate                0.131381\n",
       "host_is_superhost                   0.000000\n",
       "host_thumbnail_url                  0.000000\n",
       "                                      ...   \n",
       "guests_included                     0.000000\n",
       "extra_people                        0.000000\n",
       "minimum_nights                      0.000000\n",
       "maximum_nights                      0.000000\n",
       "calendar_updated                    0.000000\n",
       "has_availability                    1.000000\n",
       "availability_30                     0.000000\n",
       "availability_60                     0.000000\n",
       "availability_90                     0.000000\n",
       "availability_365                    0.000000\n",
       "calendar_last_scraped               0.000000\n",
       "number_of_reviews                   0.000000\n",
       "first_review                        0.210879\n",
       "last_review                         0.210879\n",
       "review_scores_rating                0.226778\n",
       "review_scores_accuracy              0.229568\n",
       "review_scores_cleanliness           0.228173\n",
       "review_scores_checkin               0.228731\n",
       "review_scores_communication         0.228173\n",
       "review_scores_location              0.229289\n",
       "review_scores_value                 0.229010\n",
       "requires_license                    0.000000\n",
       "license                             1.000000\n",
       "jurisdiction_names                  1.000000\n",
       "instant_bookable                    0.000000\n",
       "cancellation_policy                 0.000000\n",
       "require_guest_profile_picture       0.000000\n",
       "require_guest_phone_verification    0.000000\n",
       "calculated_host_listings_count      0.000000\n",
       "reviews_per_month                   0.210879\n",
       "Length: 95, dtype: float64"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Observe missing data\n",
    "listing.isnull().sum()/listing.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " ## Q1. Price Range With Highest Listings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-26T00:56:55.133447Z",
     "start_time": "2020-01-26T00:56:55.123513Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average per night price of listings is $173.93 with a minimum price of $10.00 and maximum price of whooping $4000.00.\n"
     ]
    }
   ],
   "source": [
    "# Convert Price to numerics.\n",
    "\n",
    "listing['price']=listing['price'].str.replace('[$,]','',regex=True).astype(float)\n",
    "\n",
    "print('Average per night price of listings is ${0:.2f} with a minimum price of ${1:.2f} and a maximum price of whopping ${2:.2f}.'.format(listing['price'].mean(),listing['price'].min(),listing['price'].max()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-26T00:56:56.307029Z",
     "start_time": "2020-01-26T00:56:55.870205Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the price distribution\n",
    "plt.title('Price distribution')\n",
    "explode = (0, 0, 0.1, 0,0)\n",
    "out = pd.cut(listing.price, bins=[0, 50, 100, 200, 400, 10000], include_lowest=False)\n",
    "sizes = out.cat.categories\n",
    "ax = out.value_counts(sort=False).plot.pie(figsize=(10,10), explode=explode,autopct='%1.1f%%', shadow=True, startangle=90)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We can see that the most of listings are priced in the range of 100 to 200 Dollars"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Q2. Most Popular Amenities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-10T06:50:12.344466Z",
     "start_time": "2020-01-10T06:50:12.311520Z"
    }
   },
   "outputs": [],
   "source": [
    "#cleaning the description of amenities\n",
    "amenities = listing['amenities'].apply(lambda x: [amenity.replace(\n",
    "    '\"', \"\").replace(\"{\", \"\").replace(\"}\", \"\") for amenity in x.split(\",\")])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-10T06:50:12.827392Z",
     "start_time": "2020-01-10T06:50:12.819415Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       [TV, Wireless Internet, Kitchen, Free Parking ...\n",
       "1       [TV, Internet, Wireless Internet, Air Conditio...\n",
       "2       [TV, Cable TV, Wireless Internet, Air Conditio...\n",
       "3       [TV, Internet, Wireless Internet, Air Conditio...\n",
       "4       [Internet, Wireless Internet, Air Conditioning...\n",
       "5       [Cable TV, Wireless Internet, Air Conditioning...\n",
       "6       [TV, Internet, Wireless Internet, Kitchen, Fre...\n",
       "7       [TV, Internet, Wireless Internet, Air Conditio...\n",
       "8       [Wireless Internet, Pets live on this property...\n",
       "9       [TV, Cable TV, Internet, Wireless Internet, Ai...\n",
       "10      [TV, Wireless Internet, Air Conditioning, Kitc...\n",
       "11      [TV, Cable TV, Internet, Wireless Internet, Ai...\n",
       "12      [Cable TV, Wireless Internet, Air Conditioning...\n",
       "13      [TV, Internet, Wireless Internet, Air Conditio...\n",
       "14      [Internet, Wireless Internet, Kitchen, Free Pa...\n",
       "15      [TV, Internet, Wireless Internet, Air Conditio...\n",
       "16      [TV, Cable TV, Internet, Wireless Internet, Ki...\n",
       "17      [TV, Wireless Internet, Air Conditioning, Kitc...\n",
       "18      [Cable TV, Internet, Wireless Internet, Air Co...\n",
       "19      [TV, Internet, Wireless Internet, Air Conditio...\n",
       "20      [Internet, Wireless Internet, Air Conditioning...\n",
       "21      [TV, Internet, Wireless Internet, Air Conditio...\n",
       "22      [TV, Internet, Wireless Internet, Air Conditio...\n",
       "23      [TV, Internet, Wireless Internet, Kitchen, Fre...\n",
       "24      [TV, Cable TV, Internet, Wireless Internet, Ai...\n",
       "25      [TV, Cable TV, Internet, Wireless Internet, Ai...\n",
       "26      [Internet, Wireless Internet, Air Conditioning...\n",
       "27      [Wireless Internet, Free Parking on Premises, ...\n",
       "28      [Internet, Wireless Internet, Air Conditioning...\n",
       "29      [TV, Cable TV, Internet, Wireless Internet, Ai...\n",
       "                              ...                        \n",
       "3555    [Air Conditioning, Kitchen, Hot Tub, Indoor Fi...\n",
       "3556    [Wireless Internet, Kitchen, Free Parking on P...\n",
       "3557    [Wireless Internet, Air Conditioning, Kitchen,...\n",
       "3558    [TV, Cable TV, Internet, Wireless Internet, Ai...\n",
       "3559    [TV, Internet, Wireless Internet, Air Conditio...\n",
       "3560    [Wireless Internet, Kitchen, Free Parking on P...\n",
       "3561    [Internet, Wireless Internet, Pets live on thi...\n",
       "3562    [TV, Internet, Wireless Internet, Air Conditio...\n",
       "3563    [TV, Cable TV, Internet, Wireless Internet, Ai...\n",
       "3564    [Internet, Wireless Internet, Kitchen, Free Pa...\n",
       "3565    [Wireless Internet, Kitchen, Free Parking on P...\n",
       "3566    [TV, Wireless Internet, Air Conditioning, Heat...\n",
       "3567    [TV, Cable TV, Internet, Wireless Internet, Ai...\n",
       "3568    [Wireless Internet, Kitchen, Free Parking on P...\n",
       "3569    [TV, Internet, Wireless Internet, Air Conditio...\n",
       "3570    [TV, Cable TV, Internet, Wireless Internet, Ai...\n",
       "3571    [Wireless Internet, Kitchen, Heating, Washer, ...\n",
       "3572    [TV, Cable TV, Internet, Wireless Internet, Ai...\n",
       "3573    [Wireless Internet, Kitchen, Essentials, trans...\n",
       "3574    [Wireless Internet, Kitchen, Free Parking on P...\n",
       "3575    [Internet, Wireless Internet, Air Conditioning...\n",
       "3576    [Air Conditioning, Kitchen, Indoor Fireplace, ...\n",
       "3577    [TV, Wireless Internet, Heating, Family/Kid Fr...\n",
       "3578    [TV, Internet, Wireless Internet, Air Conditio...\n",
       "3579    [TV, Cable TV, Internet, Wireless Internet, Ki...\n",
       "3580    [Internet, Wireless Internet, Air Conditioning...\n",
       "3581    [TV, Internet, Wireless Internet, Air Conditio...\n",
       "3582    [translation missing: en.hosting_amenity_49, t...\n",
       "3583    [Kitchen, Gym, Family/Kid Friendly, Washer, Dr...\n",
       "3584    [Wireless Internet, Kitchen, Essentials, trans...\n",
       "Name: amenities, Length: 3585, dtype: object"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "amenities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-10T06:50:14.864026Z",
     "start_time": "2020-01-10T06:50:14.829116Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are total 46 amenities.\n"
     ]
    }
   ],
   "source": [
    "#set MultiLabelBinarizer to separate amenities\n",
    "mlb = MultiLabelBinarizer()\n",
    "amenities_label = pd.DataFrame(mlb.fit_transform(\n",
    "    amenities), columns=mlb.classes_, index=amenities.index)\n",
    "\n",
    "# print(amenities_count.index)\n",
    "\n",
    "# Sum the amenities labels\n",
    "amenities_count=amenities_label.sum().sort_values(ascending=False)\n",
    "print('There are total {0} amenities.'.format(len(amenities_label.columns)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-10T06:50:16.039700Z",
     "start_time": "2020-01-10T06:50:15.632681Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], <a list of 10 Text xticklabel objects>)"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "#Plotting top 10 frequent amenities.\n",
    "plt.figure(figsize=(10,6))\n",
    "plt.bar(amenities_count[:10].index,amenities_count[:10].values,color='b')\n",
    "plt.title('Top 10 Popular Amenities')\n",
    "plt.xlabel('Amenity')\n",
    "plt.ylabel('Frequency')\n",
    "plt.xticks(rotation=45)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### So, Yeah Wireless Internet is the most popular amentity."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Q3. Top 10 Neighbourhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x188034b0fd0>"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "neighbour = listing.neighbourhood\n",
    "\n",
    "neighbour.value_counts().nlargest(10).plot(kind='bar', rot=45,title='Top 10 Neighbourhoods', color=\"b\", figsize=(10,6))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We can see that Allston-Brighton has heighest no. of listings."
   ]
  },
  {
   "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": "3.7.3"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}