Data Visualization - Qualitative & Quantitative Data (Airbnb listings for NY).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e131cc6e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61fe5fc0",
   "metadata": {},
   "source": [
    "### QUALITATIVE DATA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "24f3075e",
   "metadata": {},
   "outputs": [],
   "source": [
    "listings = pd.read_csv('listings.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "737c5c65",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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>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>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>1</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>279</td>\n",
       "      <td>2019-08-29</td>\n",
       "      <td>4.62</td>\n",
       "      <td>1</td>\n",
       "      <td>192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</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>3</th>\n",
       "      <td>5099</td>\n",
       "      <td>Large Cozy 1 BR Apartment In Midtown East</td>\n",
       "      <td>7322</td>\n",
       "      <td>Chris</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Murray Hill</td>\n",
       "      <td>40.74767</td>\n",
       "      <td>-73.97500</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>200</td>\n",
       "      <td>3</td>\n",
       "      <td>75</td>\n",
       "      <td>2019-07-21</td>\n",
       "      <td>0.59</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5121</td>\n",
       "      <td>BlissArtsSpace!</td>\n",
       "      <td>7356</td>\n",
       "      <td>Garon</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Bedford-Stuyvesant</td>\n",
       "      <td>40.68688</td>\n",
       "      <td>-73.95596</td>\n",
       "      <td>Private room</td>\n",
       "      <td>60</td>\n",
       "      <td>45</td>\n",
       "      <td>49</td>\n",
       "      <td>2017-10-05</td>\n",
       "      <td>0.39</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48372</th>\n",
       "      <td>38564068</td>\n",
       "      <td>Top Floor Delight</td>\n",
       "      <td>207204450</td>\n",
       "      <td>Ade</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Cypress Hills</td>\n",
       "      <td>40.67618</td>\n",
       "      <td>-73.90764</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>199</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48373</th>\n",
       "      <td>38564524</td>\n",
       "      <td>Central Park Elegance</td>\n",
       "      <td>1567562</td>\n",
       "      <td>Maggie</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Upper East Side</td>\n",
       "      <td>40.77326</td>\n",
       "      <td>-73.96650</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>175</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48374</th>\n",
       "      <td>38566777</td>\n",
       "      <td>Quiet room available</td>\n",
       "      <td>159902221</td>\n",
       "      <td>Nancy</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Bushwick</td>\n",
       "      <td>40.69907</td>\n",
       "      <td>-73.93043</td>\n",
       "      <td>Private room</td>\n",
       "      <td>35</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48375</th>\n",
       "      <td>38567542</td>\n",
       "      <td>Spacious room in Brooklyn brownstone</td>\n",
       "      <td>68905617</td>\n",
       "      <td>Eric</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Crown Heights</td>\n",
       "      <td>40.66986</td>\n",
       "      <td>-73.93772</td>\n",
       "      <td>Private room</td>\n",
       "      <td>79</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "      <td>322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48376</th>\n",
       "      <td>38568081</td>\n",
       "      <td>Petrose home by JFK, Beach &amp;St John Hosp.</td>\n",
       "      <td>293596932</td>\n",
       "      <td>Ebangha</td>\n",
       "      <td>Queens</td>\n",
       "      <td>Far Rockaway</td>\n",
       "      <td>40.60315</td>\n",
       "      <td>-73.75722</td>\n",
       "      <td>Private room</td>\n",
       "      <td>45</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>48377 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             id                                              name    host_id   \n",
       "0          3647               THE VILLAGE OF HARLEM....NEW YORK !       4632  \\\n",
       "1          3831                   Cozy Entire Floor of Brownstone       4869   \n",
       "2          5022  Entire Apt: Spacious Studio/Loft by central park       7192   \n",
       "3          5099         Large Cozy 1 BR Apartment In Midtown East       7322   \n",
       "4          5121                                   BlissArtsSpace!       7356   \n",
       "...         ...                                               ...        ...   \n",
       "48372  38564068                                 Top Floor Delight  207204450   \n",
       "48373  38564524                             Central Park Elegance    1567562   \n",
       "48374  38566777                              Quiet room available  159902221   \n",
       "48375  38567542              Spacious room in Brooklyn brownstone   68905617   \n",
       "48376  38568081         Petrose home by JFK, Beach &St John Hosp.  293596932   \n",
       "\n",
       "         host_name neighbourhood_group       neighbourhood  latitude   \n",
       "0        Elisabeth           Manhattan              Harlem  40.80902  \\\n",
       "1      LisaRoxanne            Brooklyn        Clinton Hill  40.68514   \n",
       "2            Laura           Manhattan         East Harlem  40.79851   \n",
       "3            Chris           Manhattan         Murray Hill  40.74767   \n",
       "4            Garon            Brooklyn  Bedford-Stuyvesant  40.68688   \n",
       "...            ...                 ...                 ...       ...   \n",
       "48372          Ade            Brooklyn       Cypress Hills  40.67618   \n",
       "48373       Maggie           Manhattan     Upper East Side  40.77326   \n",
       "48374        Nancy            Brooklyn            Bushwick  40.69907   \n",
       "48375         Eric            Brooklyn       Crown Heights  40.66986   \n",
       "48376      Ebangha              Queens        Far Rockaway  40.60315   \n",
       "\n",
       "       longitude        room_type  price  minimum_nights  number_of_reviews   \n",
       "0      -73.94190     Private room    150               3                  0  \\\n",
       "1      -73.95976  Entire home/apt     89               1                279   \n",
       "2      -73.94399  Entire home/apt     80              10                  9   \n",
       "3      -73.97500  Entire home/apt    200               3                 75   \n",
       "4      -73.95596     Private room     60              45                 49   \n",
       "...          ...              ...    ...             ...                ...   \n",
       "48372  -73.90764  Entire home/apt    199               2                  0   \n",
       "48373  -73.96650  Entire home/apt    175              30                  0   \n",
       "48374  -73.93043     Private room     35              30                  0   \n",
       "48375  -73.93772     Private room     79               1                  0   \n",
       "48376  -73.75722     Private room     45               3                  0   \n",
       "\n",
       "      last_review  reviews_per_month  calculated_host_listings_count   \n",
       "0             NaN                NaN                               1  \\\n",
       "1      2019-08-29               4.62                               1   \n",
       "2      2018-11-19               0.10                               1   \n",
       "3      2019-07-21               0.59                               1   \n",
       "4      2017-10-05               0.39                               1   \n",
       "...           ...                ...                             ...   \n",
       "48372         NaN                NaN                               4   \n",
       "48373         NaN                NaN                               1   \n",
       "48374         NaN                NaN                               1   \n",
       "48375         NaN                NaN                              10   \n",
       "48376         NaN                NaN                               1   \n",
       "\n",
       "       availability_365  \n",
       "0                   365  \n",
       "1                   192  \n",
       "2                     0  \n",
       "3                    13  \n",
       "4                     0  \n",
       "...                 ...  \n",
       "48372                42  \n",
       "48373               263  \n",
       "48374                66  \n",
       "48375               322  \n",
       "48376               173  \n",
       "\n",
       "[48377 rows x 16 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "30c044c5",
   "metadata": {},
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# to create a bar chart that will display the count of Airbnb listings in each neighbourhood group of NY city \n",
    "sns.countplot(x = 'neighbourhood_group', data = listings)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0a074981",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# to create a bar chart that will display the average price of Airbnb listings in each neighbourhood group of NY city \n",
    "sns.barplot(x = 'neighbourhood_group', y = 'price', data = listings)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5c42f825",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# to remove the confidence intervals from the previous bar chart\n",
    "sns.barplot(x = 'neighbourhood_group', y = 'price', data = listings, errorbar = ('ci', False))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffb4d7d1",
   "metadata": {},
   "source": [
    "### QUANTITATIVE DATA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7566f351",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d618c634",
   "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>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>1</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>279</td>\n",
       "      <td>2019-08-29</td>\n",
       "      <td>4.62</td>\n",
       "      <td>1</td>\n",
       "      <td>192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</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>3</th>\n",
       "      <td>5099</td>\n",
       "      <td>Large Cozy 1 BR Apartment In Midtown East</td>\n",
       "      <td>7322</td>\n",
       "      <td>Chris</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Murray Hill</td>\n",
       "      <td>40.74767</td>\n",
       "      <td>-73.97500</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>200</td>\n",
       "      <td>3</td>\n",
       "      <td>75</td>\n",
       "      <td>2019-07-21</td>\n",
       "      <td>0.59</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5121</td>\n",
       "      <td>BlissArtsSpace!</td>\n",
       "      <td>7356</td>\n",
       "      <td>Garon</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Bedford-Stuyvesant</td>\n",
       "      <td>40.68688</td>\n",
       "      <td>-73.95596</td>\n",
       "      <td>Private room</td>\n",
       "      <td>60</td>\n",
       "      <td>45</td>\n",
       "      <td>49</td>\n",
       "      <td>2017-10-05</td>\n",
       "      <td>0.39</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48372</th>\n",
       "      <td>38564068</td>\n",
       "      <td>Top Floor Delight</td>\n",
       "      <td>207204450</td>\n",
       "      <td>Ade</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Cypress Hills</td>\n",
       "      <td>40.67618</td>\n",
       "      <td>-73.90764</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>199</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48373</th>\n",
       "      <td>38564524</td>\n",
       "      <td>Central Park Elegance</td>\n",
       "      <td>1567562</td>\n",
       "      <td>Maggie</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Upper East Side</td>\n",
       "      <td>40.77326</td>\n",
       "      <td>-73.96650</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>175</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48374</th>\n",
       "      <td>38566777</td>\n",
       "      <td>Quiet room available</td>\n",
       "      <td>159902221</td>\n",
       "      <td>Nancy</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Bushwick</td>\n",
       "      <td>40.69907</td>\n",
       "      <td>-73.93043</td>\n",
       "      <td>Private room</td>\n",
       "      <td>35</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48375</th>\n",
       "      <td>38567542</td>\n",
       "      <td>Spacious room in Brooklyn brownstone</td>\n",
       "      <td>68905617</td>\n",
       "      <td>Eric</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Crown Heights</td>\n",
       "      <td>40.66986</td>\n",
       "      <td>-73.93772</td>\n",
       "      <td>Private room</td>\n",
       "      <td>79</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "      <td>322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48376</th>\n",
       "      <td>38568081</td>\n",
       "      <td>Petrose home by JFK, Beach &amp;St John Hosp.</td>\n",
       "      <td>293596932</td>\n",
       "      <td>Ebangha</td>\n",
       "      <td>Queens</td>\n",
       "      <td>Far Rockaway</td>\n",
       "      <td>40.60315</td>\n",
       "      <td>-73.75722</td>\n",
       "      <td>Private room</td>\n",
       "      <td>45</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>48377 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             id                                              name    host_id   \n",
       "0          3647               THE VILLAGE OF HARLEM....NEW YORK !       4632  \\\n",
       "1          3831                   Cozy Entire Floor of Brownstone       4869   \n",
       "2          5022  Entire Apt: Spacious Studio/Loft by central park       7192   \n",
       "3          5099         Large Cozy 1 BR Apartment In Midtown East       7322   \n",
       "4          5121                                   BlissArtsSpace!       7356   \n",
       "...         ...                                               ...        ...   \n",
       "48372  38564068                                 Top Floor Delight  207204450   \n",
       "48373  38564524                             Central Park Elegance    1567562   \n",
       "48374  38566777                              Quiet room available  159902221   \n",
       "48375  38567542              Spacious room in Brooklyn brownstone   68905617   \n",
       "48376  38568081         Petrose home by JFK, Beach &St John Hosp.  293596932   \n",
       "\n",
       "         host_name neighbourhood_group       neighbourhood  latitude   \n",
       "0        Elisabeth           Manhattan              Harlem  40.80902  \\\n",
       "1      LisaRoxanne            Brooklyn        Clinton Hill  40.68514   \n",
       "2            Laura           Manhattan         East Harlem  40.79851   \n",
       "3            Chris           Manhattan         Murray Hill  40.74767   \n",
       "4            Garon            Brooklyn  Bedford-Stuyvesant  40.68688   \n",
       "...            ...                 ...                 ...       ...   \n",
       "48372          Ade            Brooklyn       Cypress Hills  40.67618   \n",
       "48373       Maggie           Manhattan     Upper East Side  40.77326   \n",
       "48374        Nancy            Brooklyn            Bushwick  40.69907   \n",
       "48375         Eric            Brooklyn       Crown Heights  40.66986   \n",
       "48376      Ebangha              Queens        Far Rockaway  40.60315   \n",
       "\n",
       "       longitude        room_type  price  minimum_nights  number_of_reviews   \n",
       "0      -73.94190     Private room    150               3                  0  \\\n",
       "1      -73.95976  Entire home/apt     89               1                279   \n",
       "2      -73.94399  Entire home/apt     80              10                  9   \n",
       "3      -73.97500  Entire home/apt    200               3                 75   \n",
       "4      -73.95596     Private room     60              45                 49   \n",
       "...          ...              ...    ...             ...                ...   \n",
       "48372  -73.90764  Entire home/apt    199               2                  0   \n",
       "48373  -73.96650  Entire home/apt    175              30                  0   \n",
       "48374  -73.93043     Private room     35              30                  0   \n",
       "48375  -73.93772     Private room     79               1                  0   \n",
       "48376  -73.75722     Private room     45               3                  0   \n",
       "\n",
       "      last_review  reviews_per_month  calculated_host_listings_count   \n",
       "0             NaN                NaN                               1  \\\n",
       "1      2019-08-29               4.62                               1   \n",
       "2      2018-11-19               0.10                               1   \n",
       "3      2019-07-21               0.59                               1   \n",
       "4      2017-10-05               0.39                               1   \n",
       "...           ...                ...                             ...   \n",
       "48372         NaN                NaN                               4   \n",
       "48373         NaN                NaN                               1   \n",
       "48374         NaN                NaN                               1   \n",
       "48375         NaN                NaN                              10   \n",
       "48376         NaN                NaN                               1   \n",
       "\n",
       "       availability_365  \n",
       "0                   365  \n",
       "1                   192  \n",
       "2                     0  \n",
       "3                    13  \n",
       "4                     0  \n",
       "...                 ...  \n",
       "48372                42  \n",
       "48373               263  \n",
       "48374                66  \n",
       "48375               322  \n",
       "48376               173  \n",
       "\n",
       "[48377 rows x 16 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ebf742a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(listings['price'])\n",
    "plt.xlabel('price (in US $)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c44b2384",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(listings['price'], bins = np.arange(0, 1100, 40))\n",
    "plt.xlabel('price (in US $)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "19bb58c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x = listings['price'], y = listings['number_of_reviews'])\n",
    "plt.xlabel('price')\n",
    "plt.ylabel('number of reviews')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7bad7ad5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x = listings['price'], y = listings['number_of_reviews'], s = 5)\n",
    "plt.xlabel('price')\n",
    "plt.ylabel('number of reviews')\n",
    "plt.xlim(0, 1100)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "daf54807",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}