Location Data Exploration.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Analysis - Geography"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import math\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import scipy as sp\n",
    "from scipy.stats import mode\n",
    "from sklearn import linear_model\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "from sklearn import discriminant_analysis\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn import preprocessing\n",
    "from re import sub\n",
    "import matplotlib.cm as cm\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>street</th>\n",
       "      <th>neighbourhood</th>\n",
       "      <th>neighbourhood_cleansed</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1069266</td>\n",
       "      <td>East 53rd Street, New York, NY 10022, United S...</td>\n",
       "      <td>Midtown East</td>\n",
       "      <td>Midtown East</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>10022-4175</td>\n",
       "      <td>40.756852</td>\n",
       "      <td>-73.964754</td>\n",
       "      <td>$160.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1846722</td>\n",
       "      <td>West 155th Street, New York, NY, United States</td>\n",
       "      <td>Hamilton Heights</td>\n",
       "      <td>Hamilton Heights</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.830599</td>\n",
       "      <td>-73.941014</td>\n",
       "      <td>$105.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2061725</td>\n",
       "      <td>Van Buren Street, Brooklyn, NY 11221, United S...</td>\n",
       "      <td>Bushwick</td>\n",
       "      <td>Bushwick</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>NY</td>\n",
       "      <td>11221</td>\n",
       "      <td>40.692189</td>\n",
       "      <td>-73.924120</td>\n",
       "      <td>$58.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>44974</td>\n",
       "      <td>Greenwich Ave, New York, NY 10011, United States</td>\n",
       "      <td>West Village</td>\n",
       "      <td>West Village</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>10011</td>\n",
       "      <td>40.734751</td>\n",
       "      <td>-74.002592</td>\n",
       "      <td>$185.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4701675</td>\n",
       "      <td>West 22nd Street, New York, NY 10011, United S...</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>10011</td>\n",
       "      <td>40.745282</td>\n",
       "      <td>-73.997836</td>\n",
       "      <td>$195.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        id                                             street  \\\n",
       "0  1069266  East 53rd Street, New York, NY 10022, United S...   \n",
       "1  1846722     West 155th Street, New York, NY, United States   \n",
       "2  2061725  Van Buren Street, Brooklyn, NY 11221, United S...   \n",
       "3    44974   Greenwich Ave, New York, NY 10011, United States   \n",
       "4  4701675  West 22nd Street, New York, NY 10011, United S...   \n",
       "\n",
       "      neighbourhood neighbourhood_cleansed      city state     zipcode  \\\n",
       "0      Midtown East           Midtown East  New York    NY  10022-4175   \n",
       "1  Hamilton Heights       Hamilton Heights  New York    NY         NaN   \n",
       "2          Bushwick               Bushwick  Brooklyn    NY       11221   \n",
       "3      West Village           West Village  New York    NY       10011   \n",
       "4           Chelsea                Chelsea  New York    NY       10011   \n",
       "\n",
       "    latitude  longitude    price  \n",
       "0  40.756852 -73.964754  $160.00  \n",
       "1  40.830599 -73.941014  $105.00  \n",
       "2  40.692189 -73.924120   $58.00  \n",
       "3  40.734751 -74.002592  $185.00  \n",
       "4  40.745282 -73.997836  $195.00  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Read in the data\n",
    "\n",
    "dat = pd.read_csv(\"listings.csv\",encoding = 'latin-1')\n",
    "dat_loc = dat[['id','street','neighbourhood','neighbourhood_cleansed','city','state',\n",
    "               'zipcode','latitude','longitude','price']]\n",
    "dat_loc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['10022-4175', nan, '11221', '10011', '11231', '11207', '10013',\n",
       "       '10003', '11217', '10018', '11213', '10019', '10014', '10040',\n",
       "       '10033', '11238', '10038', '10027', '11222', '11206', '10025',\n",
       "       '10030', '10035', '10009', '10031', '10016', '10026', '10005',\n",
       "       '10012', '11102', '10128', '11101', '11385', '10028', '11211',\n",
       "       '11215', '10007', '11205', '10023', '10002', '10010', '11237',\n",
       "       '10024', '10039', '11233', '10022', '10037', '10455', '11220',\n",
       "       '11249', '11216', '10075', '11235', '11201', '11374', '10036',\n",
       "       '11234', '10001', '10032', '11103', '10463', '11106', '11230',\n",
       "       '10466', '11372', '10017', '11377', '11109', '11105', '10301',\n",
       "       '11210', '10065', '11226', '10021', '11373', '10004', '11432',\n",
       "       '11415', '10306', '10034', '11413', '11236', '10029', '11225',\n",
       "       '11365', '10305', '11355', '11375', '11204', '11369', '11208',\n",
       "       '11370', '11361', '10464', '11378', '11223', '11104', '11203',\n",
       "       '10451', '11358', '11421', '11433', '10467', '11232', '10006',\n",
       "       '11218', '10280', '11209', '11368', '11435', '10461', '11379',\n",
       "       '10282', '10459', '10458', '11694', '11224', '11420', '10044',\n",
       "       '10473', '10469', '11229', '10456', '11418', '11367', '10162',\n",
       "       '11411', '11693', '10303', '11436', '11691', '10457', '10453',\n",
       "       '10452', '10454', '11434', '11692', '10304', '11417', '10069',\n",
       "       '11429', '10080', '11422', '11354', '12337', '10460', '11427',\n",
       "       '10468', '11214', '10471', '10314', '11219', '10472', '11126',\n",
       "       '11239', '11212', '11419', '11356', '10475', '11416', '11412',\n",
       "       '10462', '11366', '10470', '111006', '10704', '10465', '11228',\n",
       "       '10003-6521', '11360', '10281', '1001', '11414', '11357', '11423',\n",
       "       '10302', '10308', '1003', '10312', '11364', '10307', '10310',\n",
       "       '10003-8623', '14072', '8456422473 call for more details', '10045',\n",
       "       '12512'], dtype=object)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.unique(dat_loc['zipcode'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "\n",
    "zips = []\n",
    "for i in dat_loc['zipcode']:\n",
    "    i = str(i)\n",
    "    if len(i) == 10:\n",
    "        zips.append(i[:5])\n",
    "    elif len(i) == 5:\n",
    "        zips.append(i)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(zips[zips==\"10022\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/samheller/anaconda/lib/python3.5/site-packages/ipykernel/__main__.py:10: FutureWarning: in the future, boolean array-likes will be handled as a boolean array index\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>price</th>\n",
       "      <th>zipcode</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>224</td>\n",
       "      <td>5.071708</td>\n",
       "      <td>10022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>619</td>\n",
       "      <td>5.065597</td>\n",
       "      <td>11221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>855</td>\n",
       "      <td>5.061946</td>\n",
       "      <td>10011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>234</td>\n",
       "      <td>5.071554</td>\n",
       "      <td>11231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>181</td>\n",
       "      <td>5.072374</td>\n",
       "      <td>11207</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   count     price zipcode\n",
       "0    224  5.071708   10022\n",
       "1    619  5.065597   11221\n",
       "2    855  5.061946   10011\n",
       "3    234  5.071554   11231\n",
       "4    181  5.072374   11207"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zips = pd.Series(zips)\n",
    "unique_zips = pd.unique(zips)\n",
    "\n",
    "log_prices = np.log(prices)\n",
    "\n",
    "zip_counts = []\n",
    "zip_prices = []\n",
    "for i in unique_zips:\n",
    "    zip_counts.append(len(zips[zips==i]))\n",
    "    zip_prices.append(np.mean(log_prices[zips==i]))\n",
    "    \n",
    "\n",
    "zipcodes = pd.DataFrame({\"zipcode\":unique_zips,\n",
    "                        \"count\":zip_counts,\n",
    "                        \"price\":zip_prices})\n",
    "\n",
    "zipcodes.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Container object of 179 artists>"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VLyZ5rLt/f9WxDFlVPSPJ2zIaysbyHEtyWXd/T5L/mOR9K47nKPjpjD6bPy+j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\nA6PQAwAAGBiFHgAAwMD8f2ryhSL/306nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12de1c780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(15, 5))\n",
    "ax.bar(range(len(zipcodes['zipcode'])),zipcodes['count'],tick_label=None)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([   2.,    1.,    2.,    3.,    6.,    5.,   11.,    6.,   23.,  120.]),\n",
       " array([ 5.05660861,  5.05846359,  5.06031856,  5.06217353,  5.06402851,\n",
       "         5.06588348,  5.06773845,  5.06959343,  5.0714484 ,  5.07330337,\n",
       "         5.07515834]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AABhC4AEAAAwh8AAAAIYQeAAAAEMIPAAAgCEEHgAAwBACDwAAYAiBBwAAMITAAwAAGELg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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12f157c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(15, 7.5))\n",
    "ax.hist(zipcodes['price'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/samheller/anaconda/lib/python3.5/site-packages/ipykernel/__main__.py:10: FutureWarning: in the future, boolean array-likes will be handled as a boolean array index\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>neighborhood</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>382</td>\n",
       "      <td>Midtown East</td>\n",
       "      <td>5.069300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>481</td>\n",
       "      <td>Hamilton Heights</td>\n",
       "      <td>5.067777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1098</td>\n",
       "      <td>Bushwick</td>\n",
       "      <td>5.058290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>797</td>\n",
       "      <td>West Village</td>\n",
       "      <td>5.062918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>905</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>5.061257</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   count      neighborhood     price\n",
       "0    382      Midtown East  5.069300\n",
       "1    481  Hamilton Heights  5.067777\n",
       "2   1098          Bushwick  5.058290\n",
       "3    797      West Village  5.062918\n",
       "4    905           Chelsea  5.061257"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### Neighborhood Data\n",
    "neighborhoods = dat_loc['neighbourhood_cleansed']\n",
    "unique_neighborhoods = pd.unique(neighborhoods)\n",
    "\n",
    "\n",
    "neighborhood_counts = []\n",
    "neighborhood_avprice = []\n",
    "for i in unique_neighborhoods:\n",
    "    neighborhood_counts.append(len(neighborhoods[neighborhoods==i]))\n",
    "    neighborhood_avprice.append(np.mean(log_prices[neighborhoods==i]))\n",
    "\n",
    "    \n",
    "neighborhoods_df = pd.DataFrame({\"neighborhood\":unique_neighborhoods,\n",
    "                                 \"count\":neighborhood_counts,\n",
    "                                \"price\":neighborhood_avprice})\n",
    "neighborhoods_df.head()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Container object of 186 artists>"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1225607f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(15, 5))\n",
    "ax.bar(range(len(neighborhoods_df['neighborhood'])),neighborhoods_df['count'],tick_label=None)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([   1.,    0.,    0.,    4.,    1.,    5.,    4.,    8.,   12.,  151.]),\n",
       " array([ 5.04409641,  5.04720261,  5.05030881,  5.05341502,  5.05652122,\n",
       "         5.05962742,  5.06273362,  5.06583983,  5.06894603,  5.07205223,\n",
       "         5.07515844]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x12f1114e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(15, 7.5))\n",
    "ax.hist(neighborhoods_df['price'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>street</th>\n",
       "      <th>neighbourhood</th>\n",
       "      <th>neighbourhood_cleansed</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1069266</td>\n",
       "      <td>East 53rd Street, New York, NY 10022, United S...</td>\n",
       "      <td>Midtown East</td>\n",
       "      <td>Midtown East</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>10022-4175</td>\n",
       "      <td>40.756852</td>\n",
       "      <td>-73.964754</td>\n",
       "      <td>$160.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1846722</td>\n",
       "      <td>West 155th Street, New York, NY, United States</td>\n",
       "      <td>Hamilton Heights</td>\n",
       "      <td>Hamilton Heights</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.830599</td>\n",
       "      <td>-73.941014</td>\n",
       "      <td>$105.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2061725</td>\n",
       "      <td>Van Buren Street, Brooklyn, NY 11221, United S...</td>\n",
       "      <td>Bushwick</td>\n",
       "      <td>Bushwick</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>NY</td>\n",
       "      <td>11221</td>\n",
       "      <td>40.692189</td>\n",
       "      <td>-73.924120</td>\n",
       "      <td>$58.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>44974</td>\n",
       "      <td>Greenwich Ave, New York, NY 10011, United States</td>\n",
       "      <td>West Village</td>\n",
       "      <td>West Village</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>10011</td>\n",
       "      <td>40.734751</td>\n",
       "      <td>-74.002592</td>\n",
       "      <td>$185.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4701675</td>\n",
       "      <td>West 22nd Street, New York, NY 10011, United S...</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>10011</td>\n",
       "      <td>40.745282</td>\n",
       "      <td>-73.997836</td>\n",
       "      <td>$195.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        id                                             street  \\\n",
       "0  1069266  East 53rd Street, New York, NY 10022, United S...   \n",
       "1  1846722     West 155th Street, New York, NY, United States   \n",
       "2  2061725  Van Buren Street, Brooklyn, NY 11221, United S...   \n",
       "3    44974   Greenwich Ave, New York, NY 10011, United States   \n",
       "4  4701675  West 22nd Street, New York, NY 10011, United S...   \n",
       "\n",
       "      neighbourhood neighbourhood_cleansed      city state     zipcode  \\\n",
       "0      Midtown East           Midtown East  New York    NY  10022-4175   \n",
       "1  Hamilton Heights       Hamilton Heights  New York    NY         NaN   \n",
       "2          Bushwick               Bushwick  Brooklyn    NY       11221   \n",
       "3      West Village           West Village  New York    NY       10011   \n",
       "4           Chelsea                Chelsea  New York    NY       10011   \n",
       "\n",
       "    latitude  longitude    price  \n",
       "0  40.756852 -73.964754  $160.00  \n",
       "1  40.830599 -73.941014  $105.00  \n",
       "2  40.692189 -73.924120   $58.00  \n",
       "3  40.734751 -74.002592  $185.00  \n",
       "4  40.745282 -73.997836  $195.00  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dat_loc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "prices = []\n",
    "for i in range(len(dat_loc['price'])):\n",
    "    money = dat_loc['price'][i]\n",
    "    value = (sub(r'[^\\d.]', '', money))\n",
    "    value = int(value[:-3])\n",
    "    prices.append(value)\n",
    "\n",
    "prices   \n",
    "\n",
    "\n",
    "norm = matplotlib.colors.Normalize(vmin=min(log_prices), vmax=max(log_prices))\n",
    "cmap = cm.hot\n",
    "\n",
    "m = cm.ScalarMappable(norm=norm, cmap=cmap)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([  4.00000000e+00,   3.49000000e+02,   4.16800000e+03,\n",
       "          1.04040000e+04,   9.73900000e+03,   2.14000000e+03,\n",
       "          4.16000000e+02,   1.18000000e+02,   3.90000000e+01,\n",
       "          1.50000000e+01]),\n",
       " array([ 2.30258509,  2.97104627,  3.63950744,  4.30796861,  4.97642978,\n",
       "         5.64489096,  6.31335213,  6.9818133 ,  7.65027448,  8.31873565,\n",
       "         8.98719682]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5a2j89CSbkzyU5Mqh8cOSXN/t89UkJ4zyACVJGockxyT5fNcPH0jyxiTHJrktyYNJvpTk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\nuR35qQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11aac9e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 2, figsize=(15, 5))\n",
    "\n",
    "ax[0].hist(prices)\n",
    "ax[1].hist(log_prices)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.41477184,  0.35175944,  0.26297083, ...,  0.34295706,\n",
       "        0.25502575,  0.35871871])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#price_resized = [x/max(prices) for x in prices]\n",
    "log_price_resized = (log_prices-min(log_prices))/(max(log_prices)-min(log_prices))\n",
    "\n",
    "log_price_resized"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 1.0)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min(log_price_resized), max(log_price_resized)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "color = m.to_rgba(np.log(prices))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "color = log_price_resized\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x124cf28d0>"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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cc+teybbi0TsBzOw1wM845757wX2fAd6VD7N86fI+8DjZcMSnyea++WHn3KOLLOtWUxa5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NAAAg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\nBekv8r33tnh3K2ScKuYaNp4taPkWaWHo+g69wKXvZvzJm5usdmsYY9iMM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ioqHlFeOrtD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9fbaAJ+6anxbenLiRNJnMhHGjrR9yOurbkYuiCK5cZy8EHnRwl/+P48fpjw75wZ33eLqwc5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\noMH+P8Cy42xRyHYeAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1216fcf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(15, 15))\n",
    "\n",
    "\n",
    "ax.scatter(dat_loc['longitude'],dat_loc['latitude'],c=log_prices,s=7,linewidth=0,cmap=\"Blues\")\n",
    "ax.set_title('house location and price, darker blue is more expensive' )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.float64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(log_price_resized[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 5.07517382,  4.65396035,  4.06044301, ...,  4.59511985,\n",
       "        4.00733319,  4.70048037])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.log(prices)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Q+JaEYU3m4ihqzFPdw7f0OyDkfCh0hBBCCDHEWxbYNXQ2rdKK3M60GuniJmvHSulaubVr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lAAAg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\nADAohQ4AAGBQ/wXHSPtSsKIB+gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x121e04748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Heatmap of house offerings, red means higher density\n"
     ]
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(15, 15))\n",
    "\n",
    "heatmap, xedges, yedges = np.histogram2d(dat_loc['longitude'], dat_loc['latitude'], bins=50)\n",
    "\n",
    "extent = [xedges[0], xedges[-1], yedges[0], yedges[-1]]\n",
    "\n",
    "plt.clf()\n",
    "plt.imshow(heatmap.T, extent=extent, origin='lower')\n",
    "plt.show()\n",
    "print(\"Heatmap of house offerings, red means higher density\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8000, 10, 130.0, 171.25689982476635)"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max(prices),min(prices),np.median(prices),np.mean(prices)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [Root]",
   "language": "python",
   "name": "Python [Root]"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}