Melbourne Housing Exploratory Anaysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Processing\n",
    "\n",
    "### Importing the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 415,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import sklearn\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams[\"patch.force_edgecolor\"] = True\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 416,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Import data\n",
    "dataset = pd.read_csv('Melbourne_housing_extra_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 417,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(17407, 21)"
      ]
     },
     "execution_count": 417,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get number of rows and columns\n",
    "dataset.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 418,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Suburb</th>\n",
       "      <th>Address</th>\n",
       "      <th>Rooms</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Method</th>\n",
       "      <th>SellerG</th>\n",
       "      <th>Date</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Postcode</th>\n",
       "      <th>...</th>\n",
       "      <th>Bathroom</th>\n",
       "      <th>Car</th>\n",
       "      <th>Landsize</th>\n",
       "      <th>BuildingArea</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>CouncilArea</th>\n",
       "      <th>Lattitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>Regionname</th>\n",
       "      <th>Propertycount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>68 Studley St</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SS</td>\n",
       "      <td>Jellis</td>\n",
       "      <td>3/09/2016</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yarra</td>\n",
       "      <td>-37.8014</td>\n",
       "      <td>144.9958</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>85 Turner St</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>1480000.0</td>\n",
       "      <td>S</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>3/12/2016</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yarra</td>\n",
       "      <td>-37.7996</td>\n",
       "      <td>144.9984</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>25 Bloomburg St</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>1035000.0</td>\n",
       "      <td>S</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>4/02/2016</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>Yarra</td>\n",
       "      <td>-37.8079</td>\n",
       "      <td>144.9934</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>18/659 Victoria St</td>\n",
       "      <td>3</td>\n",
       "      <td>u</td>\n",
       "      <td>NaN</td>\n",
       "      <td>VB</td>\n",
       "      <td>Rounds</td>\n",
       "      <td>4/02/2016</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yarra</td>\n",
       "      <td>-37.8114</td>\n",
       "      <td>145.0116</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>5 Charles St</td>\n",
       "      <td>3</td>\n",
       "      <td>h</td>\n",
       "      <td>1465000.0</td>\n",
       "      <td>SP</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>4/03/2017</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>Yarra</td>\n",
       "      <td>-37.8093</td>\n",
       "      <td>144.9944</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Suburb             Address  Rooms Type      Price Method SellerG  \\\n",
       "0  Abbotsford       68 Studley St      2    h        NaN     SS  Jellis   \n",
       "1  Abbotsford        85 Turner St      2    h  1480000.0      S  Biggin   \n",
       "2  Abbotsford     25 Bloomburg St      2    h  1035000.0      S  Biggin   \n",
       "3  Abbotsford  18/659 Victoria St      3    u        NaN     VB  Rounds   \n",
       "4  Abbotsford        5 Charles St      3    h  1465000.0     SP  Biggin   \n",
       "\n",
       "        Date  Distance  Postcode      ...       Bathroom  Car  Landsize  \\\n",
       "0  3/09/2016       2.5      3067      ...            1.0  1.0     126.0   \n",
       "1  3/12/2016       2.5      3067      ...            1.0  1.0     202.0   \n",
       "2  4/02/2016       2.5      3067      ...            1.0  0.0     156.0   \n",
       "3  4/02/2016       2.5      3067      ...            2.0  1.0       0.0   \n",
       "4  4/03/2017       2.5      3067      ...            2.0  0.0     134.0   \n",
       "\n",
       "   BuildingArea  YearBuilt  CouncilArea Lattitude  Longtitude  \\\n",
       "0           NaN        NaN        Yarra  -37.8014    144.9958   \n",
       "1           NaN        NaN        Yarra  -37.7996    144.9984   \n",
       "2          79.0     1900.0        Yarra  -37.8079    144.9934   \n",
       "3           NaN        NaN        Yarra  -37.8114    145.0116   \n",
       "4         150.0     1900.0        Yarra  -37.8093    144.9944   \n",
       "\n",
       "              Regionname Propertycount  \n",
       "0  Northern Metropolitan          4019  \n",
       "1  Northern Metropolitan          4019  \n",
       "2  Northern Metropolitan          4019  \n",
       "3  Northern Metropolitan          4019  \n",
       "4  Northern Metropolitan          4019  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 418,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View data\n",
    "dataset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 419,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 17407 entries, 0 to 17406\n",
      "Data columns (total 21 columns):\n",
      "Suburb           17407 non-null object\n",
      "Address          17407 non-null object\n",
      "Rooms            17407 non-null int64\n",
      "Type             17407 non-null object\n",
      "Price            13525 non-null float64\n",
      "Method           17407 non-null object\n",
      "SellerG          17407 non-null object\n",
      "Date             17407 non-null object\n",
      "Distance         17407 non-null float64\n",
      "Postcode         17407 non-null int64\n",
      "Bedroom2         13625 non-null float64\n",
      "Bathroom         13625 non-null float64\n",
      "Car              13625 non-null float64\n",
      "Landsize         13603 non-null float64\n",
      "BuildingArea     7323 non-null float64\n",
      "YearBuilt        8429 non-null float64\n",
      "CouncilArea      13601 non-null object\n",
      "Lattitude        13737 non-null float64\n",
      "Longtitude       13737 non-null float64\n",
      "Regionname       17407 non-null object\n",
      "Propertycount    17407 non-null int64\n",
      "dtypes: float64(10), int64(3), object(8)\n",
      "memory usage: 2.8+ MB\n"
     ]
    }
   ],
   "source": [
    "dataset.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 420,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Suburb', 'Address', 'Rooms', 'Type', 'Price', 'Method', 'SellerG',\n",
       "       'Date', 'Distance', 'Postcode', 'Bedroom2', 'Bathroom', 'Car',\n",
       "       'Landsize', 'BuildingArea', 'YearBuilt', 'CouncilArea', 'Lattitude',\n",
       "       'Longtitude', 'Regionname', 'Propertycount'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 420,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View column names\n",
    "dataset.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 421,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Suburb</th>\n",
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       "      <th>Rooms</th>\n",
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       "      <th>Price</th>\n",
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       "      <th>BuildingArea</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>CouncilArea</th>\n",
       "      <th>Lattitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>RegionName</th>\n",
       "      <th>PropertyCount</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>68 Studley St</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SS</td>\n",
       "      <td>Jellis</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yarra</td>\n",
       "      <td>-37.8014</td>\n",
       "      <td>144.9958</td>\n",
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       "      <td>4019</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>85 Turner St</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>1480000.0</td>\n",
       "      <td>S</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>3/12/2016</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yarra</td>\n",
       "      <td>-37.7996</td>\n",
       "      <td>144.9984</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>25 Bloomburg St</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>1035000.0</td>\n",
       "      <td>S</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>4/02/2016</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>Yarra</td>\n",
       "      <td>-37.8079</td>\n",
       "      <td>144.9934</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>18/659 Victoria St</td>\n",
       "      <td>3</td>\n",
       "      <td>u</td>\n",
       "      <td>NaN</td>\n",
       "      <td>VB</td>\n",
       "      <td>Rounds</td>\n",
       "      <td>4/02/2016</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yarra</td>\n",
       "      <td>-37.8114</td>\n",
       "      <td>145.0116</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>5 Charles St</td>\n",
       "      <td>3</td>\n",
       "      <td>h</td>\n",
       "      <td>1465000.0</td>\n",
       "      <td>SP</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>4/03/2017</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>Yarra</td>\n",
       "      <td>-37.8093</td>\n",
       "      <td>144.9944</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Suburb             Address  Rooms Type      Price Method SellerG  \\\n",
       "0  Abbotsford       68 Studley St      2    h        NaN     SS  Jellis   \n",
       "1  Abbotsford        85 Turner St      2    h  1480000.0      S  Biggin   \n",
       "2  Abbotsford     25 Bloomburg St      2    h  1035000.0      S  Biggin   \n",
       "3  Abbotsford  18/659 Victoria St      3    u        NaN     VB  Rounds   \n",
       "4  Abbotsford        5 Charles St      3    h  1465000.0     SP  Biggin   \n",
       "\n",
       "        Date  Distance  PostCode      ...       Bathroom  Car  LandSize  \\\n",
       "0  3/09/2016       2.5      3067      ...            1.0  1.0     126.0   \n",
       "1  3/12/2016       2.5      3067      ...            1.0  1.0     202.0   \n",
       "2  4/02/2016       2.5      3067      ...            1.0  0.0     156.0   \n",
       "3  4/02/2016       2.5      3067      ...            2.0  1.0       0.0   \n",
       "4  4/03/2017       2.5      3067      ...            2.0  0.0     134.0   \n",
       "\n",
       "   BuildingArea  YearBuilt  CouncilArea Lattitude  Longtitude  \\\n",
       "0           NaN        NaN        Yarra  -37.8014    144.9958   \n",
       "1           NaN        NaN        Yarra  -37.7996    144.9984   \n",
       "2          79.0     1900.0        Yarra  -37.8079    144.9934   \n",
       "3           NaN        NaN        Yarra  -37.8114    145.0116   \n",
       "4         150.0     1900.0        Yarra  -37.8093    144.9944   \n",
       "\n",
       "              RegionName PropertyCount  \n",
       "0  Northern Metropolitan          4019  \n",
       "1  Northern Metropolitan          4019  \n",
       "2  Northern Metropolitan          4019  \n",
       "3  Northern Metropolitan          4019  \n",
       "4  Northern Metropolitan          4019  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 421,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Change column names\n",
    "dataset.columns = ['Suburb', 'Address', 'Rooms', 'Type', 'Price', 'Method', 'SellerG',\n",
    "       'Date', 'Distance', 'PostCode', 'Bedroom2', 'Bathroom', 'Car',\n",
    "       'LandSize', 'BuildingArea', 'YearBuilt', 'CouncilArea', 'Lattitude',\n",
    "       'Longtitude', 'RegionName', 'PropertyCount']\n",
    "dataset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 422,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Suburb</th>\n",
       "      <th>Rooms</th>\n",
       "      <th>Type</th>\n",
       "      <th>Method</th>\n",
       "      <th>Distance</th>\n",
       "      <th>PostCode</th>\n",
       "      <th>Bedroom2</th>\n",
       "      <th>Bathroom</th>\n",
       "      <th>Car</th>\n",
       "      <th>LandSize</th>\n",
       "      <th>BuildingArea</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>RegionName</th>\n",
       "      <th>PropertyCount</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>SS</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "      <td>1480000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "      <td>1035000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>3</td>\n",
       "      <td>u</td>\n",
       "      <td>VB</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>3</td>\n",
       "      <td>h</td>\n",
       "      <td>SP</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "      <td>1465000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Suburb  Rooms Type Method  Distance  PostCode  Bedroom2  Bathroom  Car  \\\n",
       "0  Abbotsford      2    h     SS       2.5      3067       2.0       1.0  1.0   \n",
       "1  Abbotsford      2    h      S       2.5      3067       2.0       1.0  1.0   \n",
       "2  Abbotsford      2    h      S       2.5      3067       2.0       1.0  0.0   \n",
       "3  Abbotsford      3    u     VB       2.5      3067       3.0       2.0  1.0   \n",
       "4  Abbotsford      3    h     SP       2.5      3067       3.0       2.0  0.0   \n",
       "\n",
       "   LandSize  BuildingArea  YearBuilt             RegionName  PropertyCount  \\\n",
       "0     126.0           NaN        NaN  Northern Metropolitan           4019   \n",
       "1     202.0           NaN        NaN  Northern Metropolitan           4019   \n",
       "2     156.0          79.0     1900.0  Northern Metropolitan           4019   \n",
       "3       0.0           NaN        NaN  Northern Metropolitan           4019   \n",
       "4     134.0         150.0     1900.0  Northern Metropolitan           4019   \n",
       "\n",
       "       Price  \n",
       "0        NaN  \n",
       "1  1480000.0  \n",
       "2  1035000.0  \n",
       "3        NaN  \n",
       "4  1465000.0  "
      ]
     },
     "execution_count": 422,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Remove unnecessary columns and reorder so independent variable is last\n",
    "dataset = dataset[['Suburb','Rooms', 'Type','Method','Distance', 'PostCode', 'Bedroom2', 'Bathroom', 'Car',\n",
    "       'LandSize', 'BuildingArea', 'YearBuilt', 'RegionName', 'PropertyCount','Price']]\n",
    "\n",
    "dataset.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Missing Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 423,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Xfzgx4f6pek/aehyeO9MGzg3WJ7ZS9z1LF77kSpCCShXs/zhNlDyD2JHpKGIR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\nk7F52jkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd2d92f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize missing values\n",
    "sns.heatmap(dataset.isnull(),yticklabels = False, cbar = False, cmap = 'viridis')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 424,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Suburb               0\n",
       "Rooms                0\n",
       "Type                 0\n",
       "Method               0\n",
       "Distance             0\n",
       "PostCode             0\n",
       "Bedroom2          3782\n",
       "Bathroom          3782\n",
       "Car               3782\n",
       "LandSize          3804\n",
       "BuildingArea     10084\n",
       "YearBuilt         8978\n",
       "RegionName           0\n",
       "PropertyCount        0\n",
       "Price             3882\n",
       "dtype: int64"
      ]
     },
     "execution_count": 424,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Count of missing values\n",
    "dataset.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 425,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Suburb            0.000000\n",
       "Rooms             0.000000\n",
       "Type              0.000000\n",
       "Method            0.000000\n",
       "Distance          0.000000\n",
       "PostCode          0.000000\n",
       "Bedroom2         21.726891\n",
       "Bathroom         21.726891\n",
       "Car              21.726891\n",
       "LandSize         21.853277\n",
       "BuildingArea     57.930718\n",
       "YearBuilt        51.576952\n",
       "RegionName        0.000000\n",
       "PropertyCount     0.000000\n",
       "Price            22.301373\n",
       "dtype: float64"
      ]
     },
     "execution_count": 425,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Percentage of values missing\n",
    "dataset.isnull().sum()/len(dataset)*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 426,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Remove missing rows\n",
    "# to remove missing rows from a specific column: dataset = dataset[pd.notnull(dataset['Price'])]\n",
    "dataset = dataset.dropna() # set axis to 1 to drop entire columns that have a missing value"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 427,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 5386 entries, 2 to 17405\n",
      "Data columns (total 15 columns):\n",
      "Suburb           5386 non-null object\n",
      "Rooms            5386 non-null int64\n",
      "Type             5386 non-null object\n",
      "Method           5386 non-null object\n",
      "Distance         5386 non-null float64\n",
      "PostCode         5386 non-null int64\n",
      "Bedroom2         5386 non-null float64\n",
      "Bathroom         5386 non-null float64\n",
      "Car              5386 non-null float64\n",
      "LandSize         5386 non-null float64\n",
      "BuildingArea     5386 non-null float64\n",
      "YearBuilt        5386 non-null float64\n",
      "RegionName       5386 non-null object\n",
      "PropertyCount    5386 non-null int64\n",
      "Price            5386 non-null float64\n",
      "dtypes: float64(8), int64(3), object(4)\n",
      "memory usage: 673.2+ KB\n"
     ]
    }
   ],
   "source": [
    "# View data types\n",
    "dataset.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Non-null object types should be converted to categories to allow for better anaylysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 428,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Suburb', 'Type', 'Method', 'RegionName'], dtype='object')"
      ]
     },
     "execution_count": 428,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Identify object columns\n",
    "dataset.select_dtypes(['object']).columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 429,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 5386 entries, 2 to 17405\n",
      "Data columns (total 15 columns):\n",
      "Suburb           5386 non-null category\n",
      "Rooms            5386 non-null int64\n",
      "Type             5386 non-null category\n",
      "Method           5386 non-null category\n",
      "Distance         5386 non-null float64\n",
      "PostCode         5386 non-null int64\n",
      "Bedroom2         5386 non-null float64\n",
      "Bathroom         5386 non-null float64\n",
      "Car              5386 non-null float64\n",
      "LandSize         5386 non-null float64\n",
      "BuildingArea     5386 non-null float64\n",
      "YearBuilt        5386 non-null float64\n",
      "RegionName       5386 non-null category\n",
      "PropertyCount    5386 non-null int64\n",
      "Price            5386 non-null float64\n",
      "dtypes: category(4), float64(8), int64(3)\n",
      "memory usage: 543.9 KB\n"
     ]
    }
   ],
   "source": [
    "# Convert non-null objects to category\n",
    "o2c = dataset.select_dtypes(['object']).columns\n",
    "\n",
    "for o in o2c:\n",
    "    dataset[o] = dataset[o].astype('category')\n",
    "    \n",
    "dataset.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now it is time to examine the numeric variables by doing a statistical summary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 430,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Rooms</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>2.913665e+00</td>\n",
       "      <td>0.971923</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Distance</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>9.131730e+00</td>\n",
       "      <td>4.778950</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>8.7</td>\n",
       "      <td>11.80</td>\n",
       "      <td>47.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PostCode</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>3.098063e+03</td>\n",
       "      <td>73.233367</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>3043.0</td>\n",
       "      <td>3081.0</td>\n",
       "      <td>3146.00</td>\n",
       "      <td>3977.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bedroom2</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>2.879874e+00</td>\n",
       "      <td>0.970242</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bathroom</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>1.567583e+00</td>\n",
       "      <td>0.712262</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Car</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>1.556257e+00</td>\n",
       "      <td>0.936365</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LandSize</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>4.596144e+02</td>\n",
       "      <td>890.775233</td>\n",
       "      <td>0.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>351.0</td>\n",
       "      <td>618.75</td>\n",
       "      <td>37000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BuildingArea</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>1.412544e+02</td>\n",
       "      <td>92.269960</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>169.00</td>\n",
       "      <td>3112.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearBuilt</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>1.962319e+03</td>\n",
       "      <td>38.850927</td>\n",
       "      <td>1196.0</td>\n",
       "      <td>1935.0</td>\n",
       "      <td>1966.0</td>\n",
       "      <td>1999.00</td>\n",
       "      <td>2018.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PropertyCount</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>7.409759e+03</td>\n",
       "      <td>4332.894106</td>\n",
       "      <td>389.0</td>\n",
       "      <td>4407.0</td>\n",
       "      <td>6567.0</td>\n",
       "      <td>9264.00</td>\n",
       "      <td>21650.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>1.092251e+06</td>\n",
       "      <td>683167.652652</td>\n",
       "      <td>131000.0</td>\n",
       "      <td>635250.0</td>\n",
       "      <td>900000.0</td>\n",
       "      <td>1350875.00</td>\n",
       "      <td>8000000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                count          mean            std       min       25%  \\\n",
       "Rooms          5386.0  2.913665e+00       0.971923       1.0       2.0   \n",
       "Distance       5386.0  9.131730e+00       4.778950       0.0       5.9   \n",
       "PostCode       5386.0  3.098063e+03      73.233367    3000.0    3043.0   \n",
       "Bedroom2       5386.0  2.879874e+00       0.970242       0.0       2.0   \n",
       "Bathroom       5386.0  1.567583e+00       0.712262       1.0       1.0   \n",
       "Car            5386.0  1.556257e+00       0.936365       0.0       1.0   \n",
       "LandSize       5386.0  4.596144e+02     890.775233       0.0     145.0   \n",
       "BuildingArea   5386.0  1.412544e+02      92.269960       0.0      90.0   \n",
       "YearBuilt      5386.0  1.962319e+03      38.850927    1196.0    1935.0   \n",
       "PropertyCount  5386.0  7.409759e+03    4332.894106     389.0    4407.0   \n",
       "Price          5386.0  1.092251e+06  683167.652652  131000.0  635250.0   \n",
       "\n",
       "                    50%         75%        max  \n",
       "Rooms               3.0        3.00        8.0  \n",
       "Distance            8.7       11.80       47.4  \n",
       "PostCode         3081.0     3146.00     3977.0  \n",
       "Bedroom2            3.0        3.00        9.0  \n",
       "Bathroom            1.0        2.00        8.0  \n",
       "Car                 1.0        2.00       10.0  \n",
       "LandSize          351.0      618.75    37000.0  \n",
       "BuildingArea      122.0      169.00     3112.0  \n",
       "YearBuilt        1966.0     1999.00     2018.0  \n",
       "PropertyCount    6567.0     9264.00    21650.0  \n",
       "Price          900000.0  1350875.00  8000000.0  "
      ]
     },
     "execution_count": 430,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Statistical summary\n",
    "dataset.describe().transpose()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the stats summary above, it appears some numeric columns are  assigned to the wrong data type.    \n",
    "\n",
    "Rooms, Bedroom2, and Bathroom, Car, and Propertycount should not be treated as floats as they are discrete values and should be identified as integers.   \n",
    "\n",
    "YearBuilt and Postcode will need to be changed as well (to categorical)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 431,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 5386 entries, 2 to 17405\n",
      "Data columns (total 15 columns):\n",
      "Suburb           5386 non-null category\n",
      "Rooms            5386 non-null int32\n",
      "Type             5386 non-null category\n",
      "Method           5386 non-null category\n",
      "Distance         5386 non-null float64\n",
      "PostCode         5386 non-null category\n",
      "Bedroom2         5386 non-null int32\n",
      "Bathroom         5386 non-null int32\n",
      "Car              5386 non-null int32\n",
      "LandSize         5386 non-null float64\n",
      "BuildingArea     5386 non-null float64\n",
      "YearBuilt        5386 non-null float64\n",
      "RegionName       5386 non-null category\n",
      "PropertyCount    5386 non-null int64\n",
      "Price            5386 non-null float64\n",
      "dtypes: category(5), float64(5), int32(4), int64(1)\n",
      "memory usage: 434.5 KB\n"
     ]
    }
   ],
   "source": [
    "# Convert float to integer\n",
    "f2i = ['Rooms','Bedroom2','Bathroom','Car']\n",
    "for f in f2i:\n",
    "       dataset[f] = dataset[f].astype('int')\n",
    "dataset.describe().transpose()\n",
    "       \n",
    "# Convert appropriate columns to categorical\n",
    "f2c = ['PostCode']\n",
    "for ff in f2c:\n",
    "    dataset[ff] = dataset[ff].astype('category')\n",
    "\n",
    "# Confirm changes\n",
    "dataset.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploratory Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 432,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Suburb</th>\n",
       "      <th>Rooms</th>\n",
       "      <th>Type</th>\n",
       "      <th>Method</th>\n",
       "      <th>Distance</th>\n",
       "      <th>PostCode</th>\n",
       "      <th>Bedroom2</th>\n",
       "      <th>Bathroom</th>\n",
       "      <th>Car</th>\n",
       "      <th>LandSize</th>\n",
       "      <th>BuildingArea</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>RegionName</th>\n",
       "      <th>PropertyCount</th>\n",
       "      <th>Price</th>\n",
       "      <th>HomeAge</th>\n",
       "      <th>Historic</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "      <td>1.035</td>\n",
       "      <td>117.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>3</td>\n",
       "      <td>h</td>\n",
       "      <td>SP</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "      <td>1.465</td>\n",
       "      <td>117.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>4</td>\n",
       "      <td>h</td>\n",
       "      <td>VB</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>120.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "      <td>1.600</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>3</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>1910.0</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "      <td>1.876</td>\n",
       "      <td>107.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Abbotsford</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3067</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>256.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>1890.0</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>4019</td>\n",
       "      <td>1.636</td>\n",
       "      <td>127.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Suburb  Rooms Type Method  Distance PostCode  Bedroom2  Bathroom  Car  \\\n",
       "2   Abbotsford      2    h      S       2.5     3067         2         1    0   \n",
       "4   Abbotsford      3    h     SP       2.5     3067         3         2    0   \n",
       "6   Abbotsford      4    h     VB       2.5     3067         3         1    2   \n",
       "11  Abbotsford      3    h      S       2.5     3067         4         2    0   \n",
       "14  Abbotsford      2    h      S       2.5     3067         2         1    2   \n",
       "\n",
       "    LandSize  BuildingArea  YearBuilt             RegionName  PropertyCount  \\\n",
       "2      156.0          79.0     1900.0  Northern Metropolitan           4019   \n",
       "4      134.0         150.0     1900.0  Northern Metropolitan           4019   \n",
       "6      120.0         142.0     2014.0  Northern Metropolitan           4019   \n",
       "11     245.0         210.0     1910.0  Northern Metropolitan           4019   \n",
       "14     256.0         107.0     1890.0  Northern Metropolitan           4019   \n",
       "\n",
       "    Price  HomeAge  Historic  \n",
       "2   1.035    117.0         1  \n",
       "4   1.465    117.0         1  \n",
       "6   1.600      3.0         0  \n",
       "11  1.876    107.0         1  \n",
       "14  1.636    127.0         1  "
      ]
     },
     "execution_count": 432,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Feature engineering\n",
    "\n",
    "# Convert price to millions\n",
    "dataset['Price'] = dataset['Price']/1000000\n",
    "\n",
    "# Home Age\n",
    "dataset['HomeAge'] = 2017 - dataset['YearBuilt']\n",
    "\n",
    "# Identify homes older than 50 years old as historic\n",
    "dataset['Historic'] = np.where(dataset['HomeAge']>=50,1,0)\n",
    "\n",
    "# Confirm changes\n",
    "dataset.head()   "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Univariate Analysis "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 433,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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e3a233orNZqOgoICcnJyUyZaTk8O1116L0+mksLCQ9PR0Tp48mexYUcFgkEOH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\nhajURUQsRKUuImIhKnUREQv5/2kFJQ4Wy7UpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd26e6e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('darkgrid')\n",
    "\n",
    "# Create histogram\n",
    "sns.distplot(dataset['Price'],kde = False)\n",
    "plt.xlabel('Price (Millions)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bivariate Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Categorical Features\n",
    "Next, I want to compare the relationship between the categorical features and the Price.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 434,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Suburb', 'Type', 'Method', 'PostCode', 'RegionName'], dtype='object')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 434,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Identify categorical variables\n",
    "categorical = dataset.select_dtypes(['category']).columns\n",
    "print(categorical)\n",
    "len(categorical)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 435,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AaLcVK5ZqxYqlptNwFZpdAJ1F42aQ11ugkpJdKinZxdQNAOAKRUVe7dz5rXbu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\nR3ADAAAAAJsjuAEAAACAzRHcAAAAAMDmCG4AAAA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zBDcAAAAAsDmCGwDXKS4uCj3LDQAA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\ncCMiIiIiIqrhWLgRERERERHVcP8P/QwFJIcBJNAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1cdd0ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create subplot\n",
    "f, axes = plt.subplots(2,2, figsize = (15,15))\n",
    "\n",
    "# Plot [0,0]\n",
    "p1 =sns.boxplot(dataset.Type, dataset.Price, ax = axes[0,0], palette = 'rainbow')\n",
    "p1.title.set_text('Price vs Home Type')\n",
    "\n",
    "# Plot [0,1]\n",
    "p2 = sns.boxplot(dataset.Method, dataset.Price, ax = axes[0,1],palette = 'rainbow')\n",
    "p2.title.set_text('Purchase Method vs Price')\n",
    "\n",
    "# Plot [1,0]\n",
    "p3 = sns.boxplot(dataset.Historic, dataset.Price, ax=axes[1,0],palette = 'rainbow')\n",
    "p3.title.set_text('Historic Home vs Price')\n",
    "\n",
    "# Plot [1,1]\n",
    "p4 = sns.boxplot(dataset.RegionName, dataset.Price, ax = axes[1,1],palette = 'rainbow')\n",
    "p4.title.set_text('Region vs Price')\n",
    "plt.xticks(rotation = 90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 436,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Removing the outlier\n",
    "#tdataset = dataset[dataset['Price']<8]\n",
    "#tdataset.describe().transpose()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Numeric Features\n",
    "Next I want to analyze the numeric features as they relate to the indpedent variable, Price."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 437,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Rooms</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>2.913665</td>\n",
       "      <td>0.971923</td>\n",
       "      <td>1.000</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Distance</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>9.131730</td>\n",
       "      <td>4.778950</td>\n",
       "      <td>0.000</td>\n",
       "      <td>5.90000</td>\n",
       "      <td>8.7</td>\n",
       "      <td>11.800000</td>\n",
       "      <td>47.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bedroom2</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>2.879874</td>\n",
       "      <td>0.970242</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bathroom</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>1.567583</td>\n",
       "      <td>0.712262</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Car</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>1.556257</td>\n",
       "      <td>0.936365</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LandSize</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>459.614371</td>\n",
       "      <td>890.775233</td>\n",
       "      <td>0.000</td>\n",
       "      <td>145.00000</td>\n",
       "      <td>351.0</td>\n",
       "      <td>618.750000</td>\n",
       "      <td>37000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BuildingArea</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>141.254433</td>\n",
       "      <td>92.269960</td>\n",
       "      <td>0.000</td>\n",
       "      <td>90.00000</td>\n",
       "      <td>122.0</td>\n",
       "      <td>169.000000</td>\n",
       "      <td>3112.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearBuilt</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>1962.318789</td>\n",
       "      <td>38.850927</td>\n",
       "      <td>1196.000</td>\n",
       "      <td>1935.00000</td>\n",
       "      <td>1966.0</td>\n",
       "      <td>1999.000000</td>\n",
       "      <td>2018.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PropertyCount</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>7409.758819</td>\n",
       "      <td>4332.894106</td>\n",
       "      <td>389.000</td>\n",
       "      <td>4407.00000</td>\n",
       "      <td>6567.0</td>\n",
       "      <td>9264.000000</td>\n",
       "      <td>21650.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>1.092251</td>\n",
       "      <td>0.683168</td>\n",
       "      <td>0.131</td>\n",
       "      <td>0.63525</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.350875</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HomeAge</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>54.681211</td>\n",
       "      <td>38.850927</td>\n",
       "      <td>-1.000</td>\n",
       "      <td>18.00000</td>\n",
       "      <td>51.0</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>821.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Historic</th>\n",
       "      <td>5386.0</td>\n",
       "      <td>0.503528</td>\n",
       "      <td>0.500034</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                count         mean          std       min         25%     50%  \\\n",
       "Rooms          5386.0     2.913665     0.971923     1.000     2.00000     3.0   \n",
       "Distance       5386.0     9.131730     4.778950     0.000     5.90000     8.7   \n",
       "Bedroom2       5386.0     2.879874     0.970242     0.000     2.00000     3.0   \n",
       "Bathroom       5386.0     1.567583     0.712262     1.000     1.00000     1.0   \n",
       "Car            5386.0     1.556257     0.936365     0.000     1.00000     1.0   \n",
       "LandSize       5386.0   459.614371   890.775233     0.000   145.00000   351.0   \n",
       "BuildingArea   5386.0   141.254433    92.269960     0.000    90.00000   122.0   \n",
       "YearBuilt      5386.0  1962.318789    38.850927  1196.000  1935.00000  1966.0   \n",
       "PropertyCount  5386.0  7409.758819  4332.894106   389.000  4407.00000  6567.0   \n",
       "Price          5386.0     1.092251     0.683168     0.131     0.63525     0.9   \n",
       "HomeAge        5386.0    54.681211    38.850927    -1.000    18.00000    51.0   \n",
       "Historic       5386.0     0.503528     0.500034     0.000     0.00000     1.0   \n",
       "\n",
       "                       75%      max  \n",
       "Rooms             3.000000      8.0  \n",
       "Distance         11.800000     47.4  \n",
       "Bedroom2          3.000000      9.0  \n",
       "Bathroom          2.000000      8.0  \n",
       "Car               2.000000     10.0  \n",
       "LandSize        618.750000  37000.0  \n",
       "BuildingArea    169.000000   3112.0  \n",
       "YearBuilt      1999.000000   2018.0  \n",
       "PropertyCount  9264.000000  21650.0  \n",
       "Price             1.350875      8.0  \n",
       "HomeAge          82.000000    821.0  \n",
       "Historic          1.000000      1.0  "
      ]
     },
     "execution_count": 437,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Stat summary\n",
    "dataset.describe().transpose()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 438,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Distance', 'LandSize', 'BuildingArea', 'YearBuilt', 'Price',\n",
      "       'HomeAge'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "# Identify continuous variables\n",
    "print(dataset.select_dtypes(['float']).columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 439,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0xcb099b70>"
      ]
     },
     "execution_count": 439,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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qHN1vwMtnZmGol2N4agkAIGIZ9F1yFlyo3X+8MTdhli3wfDNxUMpxVMptA7be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67QknuKhG+BQHC/0zPqp1xb2paWKeWYKiT0XvPx9JFm0unsHWypQLCUC4Nu3P7SC70z3ghz4QR2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\niUyWX8X4/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ddRzckrM4uuNVeU8dLJcXZvtzDrj/G3/9pLa10FR0QZCcEaaLAaeOHECLC4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cE2l88r1eLouWJk5Va1qnxq6uMTF0qg9PGCRqdHfokWcT0CkBATjAs5FVD5Kpqml2rRK0KF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\nIg/CJJCIiIiIiMiD/D/KqvsR2+kwygAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xef8930b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot\n",
    "sns.pairplot(dataset,\n",
    "             vars= ['Price','Distance', 'LandSize', 'BuildingArea','Historic'], palette = 'viridis')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Insights:**  \n",
    "Prices for historic homes have more variation than that of non-historic homes (less than 50 years old).  \n",
    "Homes that are a farther distance from the Central Business District (CDB) tend to be priced lower.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 440,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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nn8S3v/1ttLe3b2QXCdny2AyH8ZgLc2wAjYzwiFZNioFDa4VTZxMMGFwA+PmP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WcZxpCFp546y7neMZ47dIb1S+tpqfblc6v84rUT7OpcSiab5eLoBI2VXlKZTD7PSkddJScu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\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HD8fM/+ijj/DJJ5+grq4OZ86cyUX4RERERERERCQhOSluHDt2LPL33XffjR07dqS9rsPh\ngNFojLxWKBQIBAJQKpVob2/Hiy++iE2bNuFPf/pTWtszm/VQKhUplykpMaUd33BhjNkhhRiB9PI2\nTCrHlKmRelzAyDw25uzgsV2G3kjLWynECEgjTrHGmEnOAuI9DoCxDZSYY0smnby1Wo0p5ydTWGiU\nZJskM1KOZaDnExhcG+T0B0UBZPy1FKPRCKfTGXkdCoWgVPaG+b//+7+wWq346le/io6ODng8HlRX\nV+Pee+9Nuj2r1ZVyfyUlJnR02DOKcagxxuzIVoxD0en0l7dhUmj3gRipxwUM37HlOm9He84OFtsl\nHvvazEghRkAacQ4mRrH0tYC425qxDUwuYhNLX9vV5RjQtru6HKI9X5kSc+5laqDnE0BabZAsb3Ne\n3Ij+Sko6Zs2ahffeew+33nor6uvrUVtbG5l3//334/777wcAvP766zhz5kzKwgYRERERERERjXyi\n++TGokWL8P7772Pp0qUQBAHr16/Hzp074XK5UFdXl6MoiYiIiIiIiEiqclLcuOGGGyJFjba2Ntx4\n440AEPmB0XfeeSfpunK5HGvWrImZVlNTE7ccP7FBRERERERERECOihtbtmzJxWaJiIiIiIiIiOLk\npLgxbty4XGyWiIiIiIiIiCiOfLgDICIiIiIiIiIaDBY3iIiIiIiIiEjSWNwgIiIiIiIiIkljcYOI\niIiIiIiIJI3FDSIiIiIiIiKSNBY3iIiIiIiIiEjSWNwgIiIiIiIiIkljcYOIiIiIiIiIJI3FDSIi\nIiIiIiKSNBY3iIiIiIiIiEjSWNwgIiIiIiIiIkljcYOIiIiIiIiIJI3FDSIiIiIiIiKSNBY3iIiI\niIiIiEjSWNwgIiIiIiIiIkljcYOIiIiIiIiIJI3FDSIiIiIiIiKSNOVwB9BXKBTC6tWrcfz4cajV\naqxbtw5VVVWR+W+88QZefvllKBQK1NbWYvXq1ZDLWaMhIiIiIiIiGq1EVxXYtWsXfD4ftm7dikcf\nfRQbN26MzPN4PPi3f/s3vPLKK3j11VfhcDjw3nvvDWO0RERERERERDTcRFfcOHDgABYuXAgAmDFj\nBg4fPhyZp1ar8eqrr0Kn0wEAAoEANBrNsMRJREREREREROIguq+lOBwOGI3GyGuFQoFAIAClUgm5\nXI7i4mIAwJYtW+ByuXD11Ven3J7ZrIdSqUi5TEmJafCB5xhjzA4pxAikl7dhUjmmTI3U4wJG5rEx\nZweP7TL0RlreSiFGQBpxijXGTHIWEO9xAIxtoMQcWzLp5K3Vakw5P5nCQqMk2ySZkXIsAz2fwODa\nQHTFDaPRCKfTGXkdCoWgVCpjXj/33HNoaGjACy+8AJlMlnJ7Vqsr5fySEhM6OuyDCzrHGGN2ZCvG\noeh0+svbMCm0+0CM1OMChu/Ycp23oz1nB4vtEo99bWakECMgjTgHE6NY+lpA3G3N2AYmF7GJpa/t\n6nIMaNtdXQ7Rnq9MiTn3MjXQ8wkgrTZIlrei+1rKrFmzsHv3bgBAfX09amtrY+avWrUKXq8X//7v\n/x75egoRERERERERjV6i++TGokWL8P7772Pp0qUQBAHr16/Hzp074XK5MG3aNGzfvh1z5szBF7/4\nRQDA/fffj0WLFg1z1EREREREREQ0XERX3JDL5VizZk3MtJqamsjfx44dG+qQiIiIiIiIiEjERPe1\nFCIiIiIiIiKiTLC4QURERERERESSxuIGEREREREREUkaixtEREREREREJGksbhARERERERGRpLG4\nQURERERERESSxuIGEREREREREUkaixtEREREREREJGksbhARERERERGRpLG4QURERERERESSxuIG\nEREREREREUkaixtEREREREREJGksbhARERERERGRpLG4QURERERERESSxuIGEREREREREUkaixtE\nREREREREJGksbhARERERERGRpLG4QURERERERESSJrriRigUwqpVq1BXV4fly5ejsbExZv67776L\nJUuWoK6uDtu2bRumKImIiIiIiIhILJTDHUBfu3btgs/nw9atW1FfX4+NGzdi8+bNAAC/jxo8agAA\nIABJREFU348NGzZg+/bt0Ol0WLZsGW644QYUFxcPap+dDicOn2uDUauC1elFp80Jl8eH4gIjSvP0\naOt2wuPzQyGXw+HxoThPDwFAe7cDJQVG6NUqnOvohkGrhlGrRlAQEAyF0OPwQKNWwqBVQyVXQIAA\nrUqBTrsbnXYXSvINKMk3wOn2odvhgVqtgM3pQZ5BC51aBZlcBiEkoMfpgccfQKFRD6fHC4NOg0KT\nDhcsNri8PphNOrg9AYwpMsLm9KLVakdFcR4AOTq6HSgwaKFVK3HO0oPyQhOUcjlarHYUGLQIhQRo\n1EoYtRoUGHRosnSjpcuGcnMerppcCZVCgT0nmtDcacPYojzMqRmHhjYrmrtsGFuYh2mVY6BVJU8j\nm9sTs/6C2krk6bRJl/f4Azjc1Jr29kercLs6PV7IZDJY7W6UF+Wh0KjFeYsN/kAIWrUCdrcX+QYt\nNEolGju6UV6YB5NWhRMXLJhaVQarw4N2qwNGvRoFei38wRDMRi38oRAsPU502d0YYzah0KTDkaZ2\nlOYbYdBqEAqF4An40WZ14LLiPIQEwNLjQmGeHmajFhc6bYAAGHRqWHqcKCkwIBQU0N7tRFGeHiX5\nBnza2IaqUjNCgoBzHVaUFBgxocyMxrZudDpc0GtUqCjOR6fdhY6L6xUYtHC4/eiwOWDQqFFg1KHA\noIHT44fD44Pb64fHF8DYojwUmnRo6uhGx8Xr9PKKYlSXFEfyqW9uzqkZh3a7HcfOWSLrTCgzIxAQ\nInloc3tw6FwrWrvs6LS5UGY2YuLYItSUFucsT8PXxHlLD3RaFWSQodCoQ+3YYpxotkjmWjndZkGb\nzYGO/U5Yul0w6tUozjMgEAhCrpDD4wug1GzA8aYOqJQKmI06mI1aWB0etHbZYdJrIANQYNLB6fWj\npdOGQpMO5WYT3L4AbC4vivP0cLj9aLHaYNSpUVlSgE67Cw6XF1q1EoGggPGl5kG1XXQfNcZsgkqh\nwDlLd9bPwUjsC6V4TKfbLPAGA7hw8CSK8vU419aNth4Hikx65Bt0cPv80KqUyNOrcaq5C3kGLWQA\n2roduLyiGJ12F9qsDpTkGzC+zIyG1i70OL3Qa1QoyTfA6w/C0uOATqtCsckAuVwGt9ePHpcXTo8P\nFcX5mFU9NqP7Lo1uHn8AjZ0WNLT2oKPbgTyDFj5/AMGQALNJD5VCDqvDHekzp15WipqywT1HExGJ\nhejujgcOHMDChQsBADNmzMDhw4cj806fPo3Kykrk5+cDAGbPno0PP/wQt9xyy4D319Ruxf/sP4ay\nAgMONbTggsWGj05dAADMn1IJuUyG5k4bCk36yHQAmDVxHLrsLpxts+LK2gp09Dhxts2KxbNrYXN5\nsedoY8yyJfkGaNRKBIMC/udvRyPz5k+uxPQJY3DobAs+PHE+Mn3BlCqMLzPj+PmOmP1eWVsBhUIO\nQQD2HWuKTL9qahXaux34n78d7X2Aakkeb6K/p1eXw9LjxAdHLsV9tq0LPU4P/nK4AQAwvsyMD46c\nxd6jl/a7eHYtvn7rVQnb1ub24Mc7/hLTFgumVOFbdy9MWODw+AP49z9+gDcPnIjbPh/kLgm3a0tX\nfF7On1IJAPD5g0nP/7zJlZg4tgi7PjoVl6dlZiOK8vQ43dwVM2/+5EpABvzXXw6h7rrPorHdir1H\nmxLm2rzJlZDJgGAwhA9PnMf4MnPCOGvKi/Dng6fjprd22XG2zYr5UypxtKk9Jt/CxxeeNmviOIwr\nzoNeo8bJC5aYbV01tQrNnTacbbNG1r31ysvx2apx8AUCcbn5TzfPwbFz8ftbMKUS//7HD/DFG2fj\nTx8dw4nznTHX3vwplVg0axLmVF+W9TxNdE3MmjgOapUCMshi4hfztXK6zYK9J8/h5DlLXM6NK85D\nKAR02p0AZKgpL8Sv39qPxbNrYXd7Y/qkK2srUGjSx7RHOCdau+xxeRbOxb7Xw4IpVWjpupQb6bZd\nsvMRvraydQ5GYl8oxWM63WaB3ePF//ztOGZPGov//uDTmP5h3uRKjC8zo9vhhlqlgCAAr+w6gFkT\nx2FsUR7eOnAyrq8AEOk7y8ymmPkLplShsrQgpi8bX2bGXz9tSHjfFWu70fAJFza2/+UIdh86E5ke\n7qcuryiJ61evmlqFf7x+JgscRDQiiO5rKQ6HA0ajMfJaoVAgEAhE5plMpsg8g8EAh8MxqP3t+vgk\nBAAOTwBOrz/mAbi6vAgfHGlE9diimOkA8NGpC6geWwQA+PDE+cjf/lAo5uE9vKw/FOr9n2W/P2be\n3mNNCAqIKWwAwJ6jjZDJZXH7/fDEeVSXF8U8EAHAB0caI9vuL95Efzs8vpibHQC4fP5IYSO83egH\nLAB488AJHG5qRSJ7TjTFtcWeo43Yc6Ip4fKHm1pjHnz72/5oFW7XROd579EmVJenPv/7jjXBoNUk\nzFNvIIiQgLh5e4/1bhcAFAp5JA8SxbDv4rLhnE4Wp0GrSRz/xTiry+PzLXx80TE7vX4oFPK4bYWv\n3eh1m7vsONzUmjA3fYFgwv25fQG8eeAEPjjWhGAIcdfe3qNNaO925iRPE10TH526gOryorj4xXyt\nHGxsRSCQuG90ev1w+/0Xz3cjDFoNgN6+tG+f9OGJ8/CHQjHTwjmRKhf7Tg9fP2Hptl3S83FxW9k6\nByOxL5TiMR1sbEVDmxW7D52B2xeI6x/2HWuCQiGHPxSC0+tHmbn3+eSjUxfiChdAbP9VPTb+Pr7n\naGNcX5bpfZdGt8NNrTjSZIkpbACX+qlE/eoHRxpxsJH5REQjg+jK/kajEU6nM/I6FApBqVQmnOd0\nOmOKHYmYzXoolYqk81s77fAGAvD4/AgEYx+a7W4vAMRND4ueHv47nWX76nK4Ek4P7z/d6ZnEkOzv\nZMunWs5i742/pCT2XLR22RMu32q1xy0LAB31zgRL924/0fIDka3t5FqqvA23a7Lz0V9+AIDFlrgo\nGAiG+s276PnpxJA0b1LE0HcbybbdX8x9993R7YBOrUabNT43k22jo7s3zlZrb1+RiKXHAb1GnXZ+\npbtcsmsiWazZvFYylSpnO7od8PXTz4SPKZwXmfSldrd3UNcDkF7bJTsfMdfWIM5BeL2h6AuHmliP\nqb+8FS7+3d6duL+Kzr3oe3mXPfV9Pd18TXXfTdRuUskPKcQp1hhT5my9M2mupnoO7eh2DMvxirWN\nAcaWbf29HwMAq9WYcn4yhYVGSbZJMiPlWAZ6PoHBtYHoihuzZs3Ce++9h1tvvRX19fWora2NzKup\nqUFjYyO6u7uh1+uxf/9+PPDAAym3Z7UmfsAIG1NkQpfNBaNWg26nJ2aeSdf7P4hKReIPuERPD/+d\nzrJ9FRr1CaeH95/u9ExiSPZ3suVTLVds6o2/oyP2DeOYwsSJOcZsilsWAEpMhqTbT7R8pkpKEu93\nINvJtVR5G27XZOejv/wAgOK8xB2OUiHvN++i56cTQ9K8SRFD320k23Z/Mffdd0mBEcUmPWSy/rcb\nvQ7Qm7fJCpHF+ca08zSTPEx2TSSLNVUMuc7bVDlbUmCEzZW4yND3fIfzIpO+1KTTwOnxJVw+3dxI\n5/wlOx8x19YA+6vovMh1XzgcBnJMw93Xhq99ACgtSNxfRede9L280JT6vp5u/53qvtu33bJ1j8s1\nKcQ5mBiHta81GeDx+RPOS/UcWlJgHPJzIuY8GG2xDXdfG9bVNbBP43d1OUR7vjIl5tzL1EDPJxD/\nnjKRZHkruq+lLFq0CGq1GkuXLsWGDRvw5JNPYufOndi6dStUKhWeeOIJPPDAA1i6dCmWLFmCsrKy\nQe3vppmTIANg1Cph0Kgwa+K4yLwzLZ24amoVzjR3xkwHer+/eKa5E0Dv98DDf6vkciyYUhW3rEou\nh1Grhk6lipk3f3IlFLLebURbMKUKQkiI2++VtRU409KJeZMrY6ZfNbUqsu3+4k30t1GrxlVTY+PW\nq1VYOG3CpfZo7ox8Zzhs8exaTKscg0QW1FbGtcWCKVVYUFuZcPlplWOweHZtzLRU2x+twu2a6DzP\nn1KJMy2pz/+8yZVwerwJ81SjVEAuQ9y8+ZN7twv0/pZGOA8SxTDv4rLhnE4Wp9PjTRz/xTjPtMTn\nW/j4omM2aFQIBkNx2wpfu9Hrji00YVrlmIS5qVYqEu5Pp1Zi8exaXDW5Ego54q69+VMqUVpgyEme\nJromZk0chzMtnXHxi/lamV41Bkpl4r7RoFFBp1JdPN9VcHp6iyAquTyuT7qytgIqeextK5wTqXKx\n7/Tw9ROWbtslPR8Xt5WtczAS+0IpHtP0qjGYUGbGtVdUQ6dWxvUP8yZXIhgMQSWXw6BRRT4RNmvi\nOLRZ7Qn7inD/daY5/j6+YEpVXF+W6X2XRrdplWMwtbIY115RHTM93E8l6levmlqF6VXMJyIaGWSC\nIAj9LyZd/f5PXIkJxxpaE4yW4kdxgSFutBSnx4eiNEdLsTk8UKc7WorTA7Uqs9FSmvuMllJ2cbSU\nNqsDFcUmCJCjo8eBAn14tBQbyguNUMrlaLXakW/QIiQI0KiUMOk0yNf3jpbS2mXHGLMpZrSUlk4b\nyqNGS2mx9o6oEv7V9mSVxvCIFOH10x0tpe/2s0FKn9zoL8640VIcbpQXJhotxYd8gyb1aCndDhh1\nGY6WIoTg8fcZLcXmQqHp0mgpMgHQD2q0FDUqivMujpbiQlGeLn60FJMOBfqo0VJ8fni8mY2WEp3b\nGY2WYnehrCDz0VIyzcPIaCmdNug0SshlMpgNl0ZLSfdayXXe9ndMkdFSepyw9Lhg1GUwWorVDpMu\n9WgpdpcXRXl6ODx+tHbZYIgZLcUHrVqBYEhAVYk547aLFt1HlRX0jpZyvrN70P1V37zIZV84XDI9\nJjH0tZHRUiz2yGgp7T1OFJp0yDfo4PH5oQmPltLShTy9FjIZ0GZNNlqKFT1OT+xoKTYndBpl3Ggp\nLq8P44oujZbSX7tJ5X/8pBCnmD+50V9cCUdLCVwcLcWoh1ohR5cIRksRcx6MttjE0NcCwOnTJ/Hl\n51+DtqA07e16utvxy0c+h5qaSYMJTzTEnHuZOn36JL56+GfQVhT1v/BFnvOd2H7tozCby/tdNlne\nsrghgSRijNkxkoobYVJo94EYqccFDN+xDfcDd3QcI/XcDgbbJR772sxIIUZAGnFKubgRTcxtzdgG\nhsWNWCxuiNdwFTdE97UUIiIiIiIiIqJMsLhBRERERERERJLG4gYRERERERERSRqLG0REREREREQk\nadL+6XUiIiIiIiKSPJ+9K+Pl9+7dg6amxhxFNLTy8/Xo6XENdxhZ0dzcDK+zJ6N1vG2ZLZ/IiB8t\nhYiIiIiIiIhGNn4thYiIiIiIiIgkjcUNIiIiIiIiIpI0FjeIiIiIiIiISNJY3CAiIiIiIiIiSWNx\ng4iIiIiIiIgkjcUNIiIiIiIiIpI05XAHMBRCoRBWr16N48ePQ61WY926daiqqorMf/fdd/Hiiy9C\nqVRiyZIl+PznPz/kMfr9fnz3u9/FhQsX4PP58LWvfQ033nhjZP6vf/1rvPbaaygsLAQAPPPMM6iu\nrh7yOO+55x4YjUYAQEVFBTZs2BCZJ4Z2fP311/H73/8eAOD1enH06FG8//77yMvLAyCedhyM/vJZ\nahLl/sSJE/HEE09AJpNh0qRJePrppyGXS7MW29nZiXvvvRe//OUvoVQqR8xxZWqk5W0ymeTztm3b\n8Oqrr0KpVOJrX/sarr/+eng8Hjz22GPo7OyEwWDAs88+i8LCQtTX1+P73/8+FAoFrrnmGjz00EPD\nfagjnphy9pNPPsEPf/hDbNmyBY2NjYPOp2zLVd5nUzAYxPe+9z00NDRAJpPhmWeegUajEVWM2SCW\nvE2UE+Xl5XjwwQcxfvx4AMCyZctw6623JmzvXOv7PLtixYq0cyGXEj3Hbt26VTTtlg1SeF+Wa/21\nwUh4v5KO6HtbtEHlgDAKvPnmm8Ljjz8uCIIgfPzxx8KKFSsi83w+n3DTTTcJ3d3dgtfrFe69916h\no6NjyGPcvn27sG7dOkEQBMFqtQrXXXddzPxHH31UOHTo0JDHFc3j8Qh33XVXwnliacdoq1evFl59\n9dWYaWJox8FKlc9SlCj3H3zwQWHv3r2CIAjCypUrhbfeems4Qxwwn88nfP3rXxduvvlm4dSpUyPm\nuAZipOVtMunmc3t7u3D77bcLXq9XsNlskb9/+ctfCj/5yU8EQRCEN954Q1i7dq0gCIJw5513Co2N\njUIoFBL++Z//Wfj000+H5wBHEbHk7EsvvSTcfvvtwuc+9zlBEISs5FO25Srvs+ntt98WnnjiCUEQ\nBGHv3r3CihUrRBdjNoglbxPlxLZt24Rf/OIXMcsla+9cSvQ8m0kuDJXwc6xY2i1bpPC+LNf6u05H\nwvuV/vS9t4UNNgdGxX8ZHjhwAAsXLgQAzJgxA4cPH47MO336NCorK5Gfnw+1Wo3Zs2fjww8/HPIY\n//7v/x6PPPIIAEAQBCgUipj5n376KV566SUsW7YMP/vZz4Y8PgA4duwY3G43vvzlL+P+++9HfX19\nZJ5Y2jHs0KFDOHXqFOrq6mKmi6EdBytVPktRotz/9NNPMXfuXADAtddeiw8++GA4QxywZ599FkuX\nLkVpaSkAjJjjGoiRlrfJpJvPBw8exMyZM6FWq2EymVBZWYljx47FtNO1116LPXv2wOFwwOfzobKy\nEjKZDNdcc82oyp3hIpacraysxAsvvBB5Pdh8yoVc5H223XTTTVi7di0AoLm5GXl5eaKLMRvEkreJ\ncuLw4cP485//jPvuuw/f/e534XA4krZ3LiV6ns0kF4ZC9HOsWNotW6TwvizX+rtOR8L7lf70vbeF\nDTYHRkVxw+FwRD56BgAKhQKBQCAyz2QyReYZDAY4HI4hj9FgMMBoNMLhcODhhx/GN7/5zZj5t912\nG1avXo2XX34ZBw4cwHvvvTfkMWq1WjzwwAP4xS9+gWeeeQbf/va3RdeOYT/72c/wL//yL3HTxdCO\ng5Uqn6UoUe4LggCZTBaZb7fbhznKzL3++usoLCyM3LwAjIjjGqiRlrfJpJvPyfrM6OnRy0a33WjL\nneEilpxdvHgxlMpL3yIebD7lQi7yPheUSiUef/xxrF27FnfccYcoYxwsseRtopyYPn06vvOd7+A3\nv/kNLrvsMrz44ovD8vyY6Hk2k1wYCtHPsWJpt2yRwvuyXOvvOh0J71f60/feFjbYHBgVxQ2j0Qin\n0xl5HQqFIo3Zd57T6Yxp0KHU0tKC+++/H3fddRfuuOOOyHRBEPDFL34RhYWFUKvVuO6663DkyJEh\nj2/ChAm48847IZPJMGHCBBQUFKCjowOAuNrRZrOhoaEB8+fPj5kulnYcrFT5LFV9cz/6dyicTmfk\nN1Ok5L/+67/wwQcfYPny5Th69Cgef/xxdHV1ReZL9bgGaiTmbTLp5HOyPjN6eqplR1PuDBex5uxg\n8ylXsp33ufLss8/izTffxMqVK+H1ekUZ42CIKW/75sSiRYswbdo0AMCiRYtw5MiRYXl+TPQ829nZ\nGRNDqlzItb7PsWJpt2yRyvuyXErVBiPl/cpADTYHRkVxY9asWdi9ezcAoL6+HrW1tZF5NTU1aGxs\nRHd3N3w+H/bv34+ZM2cOeYwWiwVf/vKX8dhjj+Ef/uEfYuY5HA7cfvvtcDqdEAQB+/bti3RyQ2n7\n9u3YuHEjAKCtrQ0OhwMlJSUAxNOOAPDhhx9iwYIFcdPF0o6DlSqfpShR7k+dOhX79u0DAOzevRtz\n5swZzhAH5De/+Q3+8z//E1u2bMGUKVPw7LPP4tprr5X8cQ3USMvbZNLN5+nTp+PAgQPwer2w2+04\nffo0amtrMWvWLPzf//1fZNnZs2fDaDRCpVKhqakJgiDgr3/966jKneEi1pwdbD7lQi7yPtt27NgR\n+Xi3TqeDTCbDtGnTRBVjNoglbxPlxAMPPICDBw8CAPbs2YPPfOYzSds7lxI9z1599dVp50Ku9X2O\nFUu7ZYsU3pflWqo2GCnvVwZqsDkgEwRByGF8ohD+RdoTJ05AEASsX78eR44cgcvlQl1dXeQXWQVB\nwJIlS3DfffcNeYzr1q3Dn/70p5hfwv3c5z4Ht9uNuro67NixA1u2bIFarcaCBQvw8MMPD3mMPp8P\nTz75JJqbmyGTyfDtb38bFy5cEFU7AsB//Md/QKlU4p/+6Z8AADt37ozEKIZ2HKxE+VxTUzPcYQ1Y\notx/6qmnsG7dOvj9flRXV2PdunVxv0MjJcuXL8fq1ashl8uxcuXKEXNcmRhpeZtMJvm8bds2bN26\nFYIg4MEHH8TixYvhdrvx+OOPo6OjAyqVCj/60Y9QUlKC+vp6rF+/HsFgENdccw3+3//7f8N4lKOD\nmHL2/Pnz+Na3voVt27ahoaEhYT+SST5lW67yPptcLheefPJJWCwWBAIBfOUrX0FNTY3o2nKwxJK3\niXLim9/8Jp577jmoVCoUFxdj7dq1MBqNCds7lxI9z5rN5rRzIdf6Psd++umnWLt27bC3W7ZI4X1Z\nrvXXBiPh/Uo6ou9t0e/XBpMDo6K4QUREREREREQj16j4WgoRERERERERjVwsbhARERERERGRpLG4\nQURERERERESSxuIGEREREREREUkaixtEREREREREJGksboxg58+fx7Rp03DXXXfh7rvvxm233YYv\nfelLaG1tjVmura0NX/nKV4YpShpNonPyrrvuwuLFi/Hwww/DYrHg0KFDeOqpp5Kue+7cOXz3u98d\nwmhptNu3bx+WL1+e1W2+/vrreOKJJwAAzc3NWLFiBe644w7cfvvteOSRR9DZ2QkA+N3vfoff/e53\nWd03Sd++ffswc+ZM3HXXXbjzzjtxyy23YPPmzSnXeeqpp3Do0KGk+Xz+/HnccMMNAIDnn38e77zz\nzqBiXLJkCVasWDGobdDoEJ170S6//PKc75t5StmWKp/feecdPP/880nXPXjwIJ577rmM9sfnhMSU\nwx0A5VZpaSn++7//O/L6Rz/6EdauXYsXX3wxMq2srAw///nPhyM8GoWic1IQBPz4xz/Gww8/jN/+\n9re44oorkq7X3NyMc+fODVWYRDm3atUq3H333bj99tsBAD/72c/w9NNPY9OmTVi2bNkwR0diNW3a\nNGzZsgUA4HQ6ceutt2LRokWYOHFiwuW///3vA+gtjPTnkUceGVRsx48fh0qlwrFjx9DS0oLy8vJB\nbY8oF5inNNRuvPFG3HjjjUnnnzp1KvKfG+nic0JiLG6MMnPmzMG7776LG264AdOnT8fRo0fx3HPP\n4Zvf/CbeffddXLhwAU8++SS6urqg1Wqxbt06TJ48GTt27MDLL7+MUCiEz3zmM3j66aeh0WiG+3BI\n4mQyGb7xjW/g6quvxiuvvIK3334bW7Zswa9+9Sv8/ve/h1wux/Tp07FmzRqsW7cO58+fxzPPPIOn\nnnoKq1evxsmTJ2GxWDBhwgRs2rQJFosFDz30ECZNmoSjR4+iqKgIzz//PAoKCrBz505s3rwZMpkM\nV1xxBdauXQufz4c1a9bg5MmTCAaD+MpXvhJ5o0mUSCAQyDj3duzYgc2bN8NoNGLcuHHQ6/UAAIvF\nArfbHdn2fffdh0OHDgEAXnjhBQDA1VdfjWeeeSayzIkTJ/Cv//qvWLhwIXOX4PF4oFAoYDKZcMMN\nN+CVV15BRUUF9u3bh02bNmHLli1Yvnw5HnrooZj1jhw5Evmk3OTJkyPTn3jiCcydOxdz585Nms9/\n/OMf8ZOf/AQ6nQ5Tp05FMBjExo0bAfR+Munqq69Gd3c3tm3bFimWvPDCC6ivr0dLSwvuu+8+XHPN\nNVi9ejW6u7uh1WqxcuVKTJ06FSdOnMDatWvhcrnQ1dWFL33pS7j//vuHqDVJTEKhENavX489e/ZA\nJpPhzjvvxFe/+lXs27cPP/3pTyEIApqamrB48WKYTCbs2rULAPDSSy+huLgYu3fvxk9+8hMEAgFU\nVFRg7dq1MJvNAJLnqd1ux3e+8x00NTXhsssuQ2trKzZt2oTy8nL84Ac/wP9v795jqq7/OI4/DwcQ\n1iBuespQIi9NiKuaZAwmao4GGuSKiZmV3RDRLoxITEqH2sEsM0CnbZQ0LnLn0MWwoAABN2W5ilFx\nLJOggjSFFM85/cHO9wcIpP1m7sD7sbGxw5fvba9zePM+n8/nNDY2YjAYiI6OZvXq1Tfq1ggLVFRU\nRGNjI9u3b2fHjh3U1taiVqtZuHAhq1atYvfu3fT09JCZmcnTTz89Yva1Wi1Go5EZM2bg7u4OwLp1\n64atcW1sbG7wVd8YMi1lHOnr6+PDDz8kMDAQgJCQED7++GNcXFyUbV599VWWLFlCRUUF69atIzMz\nk9bWVvLz88nNzaW0tBRXV1cOHDhwoy5DjDG2trZ4eHjg5uYG9P/zuHfvXgoLCykqKkKlUtHR0UFK\nSgp33XUXmzdv5vjx49jY2JCXl8fhw4e5ePEi1dXVAHz77bc89thjVFRU4OjoSHl5OR0dHWzbto13\n330XnU6HwWCgurqazMxMvL29KSoqIicnh6ysLBkdIkb1b7KXnp5OTk4OeXl5XLhwQdnX888/T3p6\nOiEhISQlJVFdXc28efMGHS8wMJDS0lJKS0uJiooiNDSUJUuWSHbHsZMnT7Js2TIiIyMJCwvj7rvv\nZtKkSde0j6SkJBITEykuLlYK5KGGy3NXVxdpaWlkZ2dTWFjI2bNnle37+vooKysjPDyc8PBwDh06\nxOXLl5WfX7p0icrKSmJjYwcdf8uWLTz33HMAFBQUEBcXR2FhIe+99x67du36F3dIWJLOzk5lqqr5\nC/qH3Le3t1NWVkZBQQGffPIJn3/+OQDNzc1s27YNnU5Hbm4uLi4uFBUVceedd6LT6ejq6mLnzp0c\nOHCAkpISgoODSU9PB0bP6TvvvIOnpyc6nY61a9fS0tICQH5+PgDFxcUcOnSIqqr4ApH8AAAIJUlE\nQVQqjh079h/fKWEJRsqz2c8//0xNTQ1lZWXk5uai1+uZMGECCQkJhIWF8eyzz46afb1eT3Z2Njt2\n7FD2OVKNO17JyI0xzvwkg/7CwtfXlxdeeIHa2lr8/Pyu2L6pqYk33ngDgNDQUEJDQzl48CCnTp3i\noYceAvr/MHh5ef13FyHGPJVKhZ2dHQDW1tYEBASwfPlyFi5cSGxsLBqNBr1er2w/d+5cnJycyMnJ\n4YcffkCv19PT0wOAq6urks8ZM2Zw9uxZjh8/TmBgILfccguAMq8xIyODv/76i8LCQgB6enpobW1l\nypQp/9WlCwvzb7IXEBCgNO8iIyM5evQo0N9grqmpoaGhgfr6erRaLTqdjoyMjCuO++WXX1JQUEBu\nbi4qlYq6ujrJ7jg1dFrKM888w759+67697u6uujs7GT+/PkAREdHKzkaaLg8Hzt2jICAADQaDQAP\nPPCA8o55dXU1EydOZPr06ZhMJqysrPjss89YvHgxAL6+vso5nzx5kuTkZOVYPT09dHd389JLL/HF\nF1+wd+9eWlpalOeWGLuGTp+G/jUKGhoaiIqKQq1WY29vT2RkJPX19YSFhTFz5kxlKomzszP33HMP\nAJMnT+bcuXM0NzfT3t6ujPoxGo3cfPPNwOg5ra2tVZogPj4+ytof9fX1fPPNN8prd09PDy0tLcyZ\nM+f63yBhUUbKs5lGo2HChAnExMSwYMECNmzYcMVI+NGy7+npiYODw6DtR6pxxytpboxxwz3JzIab\nVmJt/b9ImEwmvv/+ewwGA+Hh4aSkpAD9hYnBYLg+JyzGnUuXLtHW1jZormFGRgYnTpygpqaGNWvW\nKMWGWVVVFbt372bVqlVER0fT3d2NyWQCBudapVJhMpkG5Rr6i3voL3i0Wi3e3t5A/zQBcwEkxHCu\nNXsqlQqj0ag8bs7iH3/8QUZGBi+//DIhISGEhIQQFxdHcHCwkk8zvV7Ppk2b2L9/v1LUSHYFwE03\n3cSiRYuoq6sDULI4cMTEUOZsmqnV6mG3Gy7PVlZWg/I8UGFhIe3t7cqCeufPnyc3N1dpbpgb2Eaj\nEVtb20G1yS+//IKTkxMJCQk4OjqyYMEC7r//fnQ63T/eAzE2Dc2ZyWRSas+hw+2HZthgMBAYGEhW\nVhYAFy9eVEbNjZZTtVo96LkxcH+JiYncd999QH8NYZ5eKMS1sLa2pqCggMbGRmpqaoiJiVGa1Waj\nZd/8Ojp0nwOZa4iBI/PHE5mWIgaZM2eOUkzU1dWxadMm5s2bx+HDh/n9998xmUykpqaSnZ19g89U\njAVGo5G3334bPz8/pk6dCvS/KIeHhzNz5kzWr1/PvffeS0tLC2q1WinY6+vrCQ8P58EHH8TNzY2m\npqZRG24+Pj40Nzfz66+/ApCWlkZVVRVBQUHKStOdnZ0sXbqU9vb263zVwpJda/Zmz55Nc3MzHR0d\nGI1GKisrAXBwcODIkSOUlJQo2/7444+4uroOalKcP3+etWvXsnHjRqZNm6Y8LtkV0P9PV2NjI15e\nXjg7O/Pdd98BjPqJJ87OzkyePFkZ5lxRUXHVxwsMDOSrr76is7MTk8lEZWUlKpWK3377jdraWioq\nKjhy5IiS7aNHj14xXcrBwYHbb79daW7U1tYSGxurfJ+QkMCiRYtoampSrlGMP0FBQZSUlGAwGOjt\n7aW8vPyKaXsj8fPz48SJE7S1tQH9b5i8/vrr/5jT+fPnU15eDvQvOtra2opKpSIoKIj8/Hz6+vq4\ncOECK1asoLm5+bpduxi7vv76a1auXMncuXNJSkpi2rRptLW1DapxrzX7I9W445WM3BCDvPLKK6Sk\npPDBBx9gb2/P1q1bmT59OvHx8Tz66KMYjUZmzZrFU089daNPVViogVOlzHnauXOnMrfVxcWFmJgY\nli9fjr29PbfeeitRUVH09fXx559/kpiYyJo1a3jxxRf56KOPsLW1xd/fn9OnT494TI1Gw8aNG3ni\niScwGo34+/sTHR1Nb28vqampREREKO/MmJssQgDKMHwzX19fGhoarjp7bm5upKSksHr1auzt7ZVP\ntFCr1ezbt4/t27fz1ltvYWdnx6RJk8jKyhr0LuTBgwc5c+YMmZmZyiKjUVFRxMfHS3bHKfOaGwC9\nvb34+Pjw5JNP4u/vz5YtW9izZw/BwcGj7kOr1ZKcnMybb76Jv7//VR/bxcWFlJQUHn/8cWxtbXF3\nd8fR0ZGysjJCQ0OV6SoAU6ZMISwsjLy8vCtGimq1WlJTU9m/fz82Njbs2rVLWWB6xYoVODo64unp\nyW233cbp06fx8PC4hjskxoKHH34YvV7PsmXL6OvrY+nSpSxevPiqPvVn4sSJpKWlsWHDBoxGIxqN\nBq1WS3Fx8ag5jYuLIzk5mcjISKZOnYqbmxt2dnbExMRw6tQpoqKiuHz5MtHR0VfdaBFiIC8vL/z9\n/YmIiMDe3p5Zs2YREhLCTz/9xJ49e0hPT2f9+vXXlP2RatzxSmUabvyVEEIIIYQQA3R3d/P+++8T\nHx+PlZUVW7duxcPDg0ceeeRGn5oQ/7fS0lLc3d2ZPXs2Z86cYeXKlXz66adYWclAdyEshYzcEEII\nIYQQ/8jJyYlz584RERGBWq3G29tbWWxcCEt3xx13sHnzZoxGI1ZWVrz22mvS2BDCwsjIDSGEEEII\nIYQQQlg0aUcKIYQQQgghhBDCoklzQwghhBBCCCGEEBZNmhtCCCGEEEIIIYSwaNLcEEIIIYQQQggh\nhEWT5oYQQgghhBBCCCEsmjQ3hBBCCCGEEEIIYdH+BkBCgSIBtbRkAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x4578fac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot\n",
    "g =sns.PairGrid(dataset,\n",
    "             vars= ['Price','Distance', 'LandSize', 'BuildingArea','HomeAge','Historic'], \n",
    "             hue = 'Historic',\n",
    "             palette = 'viridis')\n",
    "g = g.map_diag(plt.hist)\n",
    "g = g.map_offdiag(plt.scatter, edgecolor = 'w', s = 40)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}