listings-lab.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "listings = pd.read_csv('listings_la_summary.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(20562, 16)"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listings.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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",
       "      <th>price_float</th>\n",
       "      <th>revenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>444018</td>\n",
       "      <td>Sweet Suite for Romantic Getaway</td>\n",
       "      <td>2205844</td>\n",
       "      <td>Suzanne</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adams-Normandie</td>\n",
       "      <td>34.030253</td>\n",
       "      <td>-118.297901</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",
       "      <td>150</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1557529</td>\n",
       "      <td>Small Room in Central L.A. (3)</td>\n",
       "      <td>2324191</td>\n",
       "      <td>Elisabeth</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adams-Normandie</td>\n",
       "      <td>34.032655</td>\n",
       "      <td>-118.297711</td>\n",
       "      <td>Private room</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>2015-12-17</td>\n",
       "      <td>0.87</td>\n",
       "      <td>19</td>\n",
       "      <td>337</td>\n",
       "      <td>50</td>\n",
       "      <td>488.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6504741</td>\n",
       "      <td>Private Room with Queen-Bed</td>\n",
       "      <td>2324191</td>\n",
       "      <td>Elisabeth</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adams-Normandie</td>\n",
       "      <td>34.029912</td>\n",
       "      <td>-118.299560</td>\n",
       "      <td>Private room</td>\n",
       "      <td>60</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2015-07-08</td>\n",
       "      <td>0.17</td>\n",
       "      <td>19</td>\n",
       "      <td>358</td>\n",
       "      <td>60</td>\n",
       "      <td>121.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8989426</td>\n",
       "      <td>the garden room under the sky</td>\n",
       "      <td>4072379</td>\n",
       "      <td>Danielle</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adams-Normandie</td>\n",
       "      <td>34.033017</td>\n",
       "      <td>-118.302858</td>\n",
       "      <td>Private room</td>\n",
       "      <td>68</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2015-11-17</td>\n",
       "      <td>1.29</td>\n",
       "      <td>3</td>\n",
       "      <td>365</td>\n",
       "      <td>68</td>\n",
       "      <td>1067.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4839375</td>\n",
       "      <td>Private Room in Beautiful 2BR House</td>\n",
       "      <td>24905603</td>\n",
       "      <td>Kelley</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adams-Normandie</td>\n",
       "      <td>34.027065</td>\n",
       "      <td>-118.302549</td>\n",
       "      <td>Private room</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-12-28</td>\n",
       "      <td>0.99</td>\n",
       "      <td>1</td>\n",
       "      <td>364</td>\n",
       "      <td>80</td>\n",
       "      <td>960.96</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        id                                 name   host_id  host_name  \\\n",
       "0   444018     Sweet Suite for Romantic Getaway   2205844    Suzanne   \n",
       "1  1557529       Small Room in Central L.A. (3)   2324191  Elisabeth   \n",
       "2  6504741          Private Room with Queen-Bed   2324191  Elisabeth   \n",
       "3  8989426        the garden room under the sky   4072379   Danielle   \n",
       "4  4839375  Private Room in Beautiful 2BR House  24905603     Kelley   \n",
       "\n",
       "   neighbourhood_group    neighbourhood   latitude   longitude     room_type  \\\n",
       "0                  NaN  Adams-Normandie  34.030253 -118.297901  Private room   \n",
       "1                  NaN  Adams-Normandie  34.032655 -118.297711  Private room   \n",
       "2                  NaN  Adams-Normandie  34.029912 -118.299560  Private room   \n",
       "3                  NaN  Adams-Normandie  34.033017 -118.302858  Private room   \n",
       "4                  NaN  Adams-Normandie  34.027065 -118.302549  Private room   \n",
       "\n",
       "   price  minimum_nights  number_of_reviews last_review  reviews_per_month  \\\n",
       "0    150               3                  0         NaN                NaN   \n",
       "1     50               1                 17  2015-12-17               0.87   \n",
       "2     60               1                  1  2015-07-08               0.17   \n",
       "3     68               1                  3  2015-11-17               1.29   \n",
       "4     80               1                  6  2015-12-28               0.99   \n",
       "\n",
       "   calculated_host_listings_count  availability_365  price_float  revenue  \n",
       "0                               1               365          150      NaN  \n",
       "1                              19               337           50   488.65  \n",
       "2                              19               358           60   121.72  \n",
       "3                               3               365           68  1067.26  \n",
       "4                               1               364           80   960.96  "
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listings.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'id', u'name', u'host_id', u'host_name', u'neighbourhood_group',\n",
       "       u'neighbourhood', u'latitude', u'longitude', u'room_type', u'price',\n",
       "       u'minimum_nights', u'number_of_reviews', u'last_review',\n",
       "       u'reviews_per_month', u'calculated_host_listings_count',\n",
       "       u'availability_365'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listings.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using pandas answer the following questions with summary statistics (just numbers, no charts):\n",
    "- How many neighborhoods?\n",
    "- Most common room_type\n",
    "- Neighborhood with the most # of listings\n",
    "- User with the most # of listings\n",
    "- Most expensive neighborhood (median price)\n",
    "- Listing with most # of reviews"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "How many neighborhoods?\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "218"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print 'How many neighborhoods?'\n",
    "listings.neighbourhood.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Most common room_type\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Entire home/apt    12006\n",
       "Private room        7739\n",
       "Shared room          817\n",
       "Name: room_type, dtype: int64"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print 'Most common room_type'\n",
    "listings.room_type.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Neighborhood with the most # of listings\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Venice             1741\n",
       "Hollywood          1379\n",
       "Santa Monica        933\n",
       "West Hollywood      756\n",
       "Hollywood Hills     645\n",
       "Name: neighbourhood, dtype: int64"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print 'Neighborhood with the most # of listings'\n",
    "listings.neighbourhood.value_counts().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "User with the most # of listings\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "36560409    167\n",
       "16262021     31\n",
       "14506939     28\n",
       "30713954     28\n",
       "34405493     27\n",
       "Name: host_id, dtype: int64"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print 'User with the most # of listings'\n",
    "listings.host_id.value_counts().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>host_name</th>\n",
       "      <th>neighbourhood</th>\n",
       "      <th>price</th>\n",
       "      <th>price_float</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Suzanne</td>\n",
       "      <td>Adams-Normandie</td>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Elisabeth</td>\n",
       "      <td>Adams-Normandie</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Elisabeth</td>\n",
       "      <td>Adams-Normandie</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Danielle</td>\n",
       "      <td>Adams-Normandie</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Kelley</td>\n",
       "      <td>Adams-Normandie</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   host_name    neighbourhood  price  price_float\n",
       "0    Suzanne  Adams-Normandie    150          150\n",
       "1  Elisabeth  Adams-Normandie     50           50\n",
       "2  Elisabeth  Adams-Normandie     60           60\n",
       "3   Danielle  Adams-Normandie     68           68\n",
       "4     Kelley  Adams-Normandie     80           80"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listings['price_float'] = listings.price.replace('[$,]', '', regex=True).astype(float)\n",
    "listings[['host_name', 'neighbourhood', 'price', 'price_float']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Most expensive neighborhood (median price)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>price_float</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>neighbourhood</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Central-Alameda</th>\n",
       "      <td>1500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Malibu</th>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Westlake Village</th>\n",
       "      <td>425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Marino</th>\n",
       "      <td>275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pacific Palisades</th>\n",
       "      <td>250</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   price_float\n",
       "neighbourhood                 \n",
       "Central-Alameda           1500\n",
       "Malibu                     500\n",
       "Westlake Village           425\n",
       "San Marino                 275\n",
       "Pacific Palisades          250"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print 'Most expensive neighborhood (median price)'\n",
    "gb = listings[['neighbourhood', 'price_float']].groupby('neighbourhood')\n",
    "gb.median().sort_values('price_float', ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Listing with most # of reviews\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>host_name</th>\n",
       "      <th>name</th>\n",
       "      <th>number_of_reviews</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16655</th>\n",
       "      <td>Murray &amp; Kay</td>\n",
       "      <td>AIRSTREAM VINTAGE TRAILER ADVENTURE</td>\n",
       "      <td>441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18469</th>\n",
       "      <td>Maddy</td>\n",
       "      <td>Venice Beach Walkstreet Guesthouse</td>\n",
       "      <td>391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17099</th>\n",
       "      <td>John</td>\n",
       "      <td>Bright Venice Loft, Steps to Beach!</td>\n",
       "      <td>366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16689</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Malibu Yurt Retreat On Organic Farm</td>\n",
       "      <td>315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10830</th>\n",
       "      <td>Sterling</td>\n",
       "      <td>L.A. Lifestyle--like you live here</td>\n",
       "      <td>312</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          host_name                                 name  number_of_reviews\n",
       "16655  Murray & Kay  AIRSTREAM VINTAGE TRAILER ADVENTURE                441\n",
       "18469         Maddy   Venice Beach Walkstreet Guesthouse                391\n",
       "17099          John  Bright Venice Loft, Steps to Beach!                366\n",
       "16689           NaN  Malibu Yurt Retreat On Organic Farm                315\n",
       "10830      Sterling  L.A. Lifestyle--like you live here                 312"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print 'Listing with most # of reviews'\n",
    "listings[['host_name', 'name', 'number_of_reviews']].sort_values('number_of_reviews', ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Time to visualize! Using pandas (and matplotlib) create a visualization of each of the following:\n",
    "- Distribution of room_type (for entire city)\n",
    "- Histogram of # of listings per neighborhood\n",
    "- Histogram of # of listings for each user\n",
    "- City wide distribution of listing price\n",
    "- Distribution of median listing price per neighborhood\n",
    "- Histogram of number of reviews per listing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Distribution of room_type (for entire city)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x127afacd0>"
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x127afa5d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print 'Distribution of room_type (for entire city)'\n",
    "listings.room_type.value_counts().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Histogram of # of listings per neighborhood\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x127c01690>"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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/3r3TfW2hzwDHkspFvJy0gjZGPGOMeiLZR8QHJH0iIj7d4vCgpFMLhnMx6ef6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\npCOJGD8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x127c09990>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print 'Histogram of # of listings per neighborhood'\n",
    "listings.neighbourhood.value_counts().head(10).plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Histogram of # of listings for each user\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x127b68710>"
      ]
     },
     "execution_count": 182,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x127db51d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print 'Histogram of # of listings for each user'\n",
    "listings.host_id.value_counts().head(10).plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "City wide distribution of listing price\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x127e7a6d0>"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x127e85410>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print 'City wide distribution of listing price'\n",
    "listings.price_float.hist(bins=60, range=(0, 1000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Distribution of median listing price per neighborhood\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x12829d310>]], dtype=object)"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11d2f8210>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print 'Distribution of median listing price per neighborhood'\n",
    "gb = listings[['neighbourhood', 'price_float']].groupby('neighbourhood')\n",
    "gb.median().sort_values('price_float', ascending=False).hist(bins=60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x124daaed0>"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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prGJQtNFu0hvemvj2nAtJZxODYhrtTsKb6cT3sWPHePnllzlw4Mjb2h2iktSPDIp54GVB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\nhSSpyKCQJBX9f8hULUCcE/Q5AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x128765c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "listings.number_of_reviews.hist(bins=60, range=(0, 150))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'id', u'name', u'host_id', u'host_name', u'neighbourhood_group',\n",
       "       u'neighbourhood', u'latitude', u'longitude', u'room_type', u'price',\n",
       "       u'minimum_nights', u'number_of_reviews', u'last_review',\n",
       "       u'reviews_per_month', u'calculated_host_listings_count',\n",
       "       u'availability_365', u'price_float', u'revenue'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listings.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In an effort to find potential correlations (or outliers) you want a little bit more fine grained loot at the data. Create a scatterplot matrix of the data for your city. http://pandas.pydata.org/pandas-docs/stable/visualization.html#visualization-scatter-matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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+iZ2rF+Du2J37f/gYaflTCAYDVOzbhCulB7N/9Vy0Q1JKxRgdNBBDXHEJdOs9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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x129243190>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "listings.plot.scatter(x='number_of_reviews', y='price_float');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Cf//uPhYuXQ7E39FRF2kRaSkSGUutzmQTaPBoA8e7jRs3cN23f0GXobfRffht3Pj9XzNz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x128704610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "listings.plot.scatter(x='minimum_nights', y='price_float');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x129888b50>"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IiIhg6dKllJQUEBYWgZtbx7txaxT+hjSQV9ejQLRx211KmWvczgXcjdtewOGb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\nxWr+P8NDEN3nessVAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1298a2250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "listings.plot.scatter(x='longitude', y='latitude', c='price_float')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x12876e590>"
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Zs+zbt4/09HR69uyJt7c3ISEh9OrVq0397t69O2FhYZSVldGnT59Gu+PrU15e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\nQtFjKKOiUCgUih7j/wPcR/zcBs7XqwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x128039190>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "listings.plot.scatter(x='longitude', y='latitude', c='price_float', s=listings['price_float'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What impact would a Prof F like policy have on your city? > Prop F would have removed all listings that are the Entire Home and available for more than 75 days per year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "listings['revenue'] = (listings.availability_365 / 30.) * listings['price_float'] * listings['reviews_per_month']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "propf = listings.loc[(listings.availability_365 > 75) & (listings.room_type.str.startswith('Entire home/apt'))]\n",
    "non_propf = listings.loc[~((listings.availability_365 > 75) & (listings.room_type.str.startswith('Entire home/apt')))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(10470, 18)\n",
      "(10092, 18)\n"
     ]
    }
   ],
   "source": [
    "print propf.shape\n",
    "print non_propf.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "half of airbnb listing in los angeles are subject to the new prop f tax!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What would AirBnB’s revenue loss have been from a passing of Prop F? Calculate revenue from the reviews_per_month, availability_365, and price for each listing.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "28378847.683333267"
      ]
     },
     "execution_count": 200,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listings.revenue.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "21949326.44533331"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "propf.revenue.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6429521.237999999"
      ]
     },
     "execution_count": 196,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_propf.revenue.sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$26,604,365 of airbnb revenue is subject to a new tax following the passing of prop f"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make a violin plot of the price distribution of each neighborhood. If your city has a large number of neighborhoods plot the 10 with the most listing.\n",
    "https://stanford.edu/~mwaskom/software/seaborn/examples/simple_violinplots.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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JwWw24+fnR2ZmJjabjZSUFPUCQgh30a/f9Wo5PPw6DSMRQojmnH6nv3PnTlatWkWvXr1I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\nIAhCAyGSviAIgiA0ECLpC4IgCEID8f8AD+xHZOOO38sAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x129da6ad0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top = listings.neighbourhood.value_counts().head(7).index.tolist()\n",
    "top_neigh = listings.loc[listings.neighbourhood.isin(top)]\n",
    "violin = sns.violinplot(data=top_neigh, x='neighbourhood', y='price_float', inner='points')\n",
    "for item in violin.get_xticklabels():\n",
    "    item.set_rotation(40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To find potential features that correlate with the price, make a facet grid of linear regressions (price will always be the dependent variable).\n",
    "https://stanford.edu/~mwaskom/software/seaborn/examples/anscombes_quartet.html\n",
    "https://stanford.edu/~mwaskom/software/seaborn/examples/logistic_regression.html\n",
    "https://stanford.edu/~mwaskom/software/seaborn/examples/multiple_regression.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "lat = listings.latitude.tolist()\n",
    "lon = listings.longitude.tolist()\n",
    "min_nights = listings.minimum_nights.tolist()\n",
    "num_reviews = listings.number_of_reviews.tolist()\n",
    "review_per_month = listings.reviews_per_month.tolist()\n",
    "host_listings = listings.calculated_host_listings_count.tolist()\n",
    "availability = listings.availability_365.tolist()\n",
    "price = listings.price_float.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "x = lat + lon + min_nights + num_reviews + review_per_month + host_listings + availability\n",
    "y = price * 7\n",
    "n = len(lat)\n",
    "labs = [\"latitude\", \"longitude\", \"minimum nights\", \"number of reviews\", \"reviews per month\", \"host listings\", \"availability\"]\n",
    "lab = [col for col in labs for i in range(n)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dat = pd.DataFrame({\n",
    "        \"x\": x,\n",
    "        \"y\": y,\n",
    "        \"lab\": lab\n",
    "    })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x129da68d0>"
      ]
     },
     "execution_count": 241,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5sXPYl/7TFdYUERGRq6WQJSJSyzSt04zJgVO5teFtAOQUZvPvwxGsP7kWu0Pd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\nM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qJkAQAAAICFAlKyVq1apaSkJM2cOVOPPPKI6uvrzW15eXnyeDyKj49XZWWl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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12decd850>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"x\", y=\"y\", col=\"lab\", hue=\"lab\", data=dat,\n",
    "           col_wrap=3, ci=None, palette=\"muted\", size=4,\n",
    "           scatter_kws={\"s\": 50, \"alpha\": 1})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "extra credit\n",
    "Visualize map of average listing price vs. median rent "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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8OZ3B87HxD4n795n+0PiYzO4/uLSTUppRbG416ZmZj4+l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\ntDnzCNbnHGcy+j6S+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T0J678R6y/E9X+Ger/DPX/hlpX+Geo/ENdqejEMvoNh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\nLbceWOvdfiZWaCDpSVNjlLXqyjQP9/40ERLHCP8AhdMxWut9qr+H/9k=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 246,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(filename='/Users/kirkhunter/Downloads/avg_listing.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}