immoanalyze.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import json\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "plt.style.use('bmh')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mietpreis Verteilung"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Haus/Wohnung</th>\n",
       "      <th>ID.1</th>\n",
       "      <th>Miete/Kauf</th>\n",
       "      <th>address</th>\n",
       "      <th>balcony</th>\n",
       "      <th>builtInKitchen</th>\n",
       "      <th>city</th>\n",
       "      <th>floorplan</th>\n",
       "      <th>from</th>\n",
       "      <th>...</th>\n",
       "      <th>livingSpace</th>\n",
       "      <th>lon</th>\n",
       "      <th>numberOfRooms</th>\n",
       "      <th>postcode</th>\n",
       "      <th>price</th>\n",
       "      <th>privateOffer</th>\n",
       "      <th>quarter</th>\n",
       "      <th>title</th>\n",
       "      <th>url</th>\n",
       "      <th>EUR/qm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>118391829</td>\n",
       "      <td>Wohnung</td>\n",
       "      <td>118391829</td>\n",
       "      <td>Miete</td>\n",
       "      <td>Wölfnitzer Ring 2, Gorbitz-Süd, Dresden</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>Dresden</td>\n",
       "      <td>True</td>\n",
       "      <td>002.01008611707</td>\n",
       "      <td>...</td>\n",
       "      <td>72.58</td>\n",
       "      <td>13.67285</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1169</td>\n",
       "      <td>247.44</td>\n",
       "      <td>False</td>\n",
       "      <td>Gorbitz-Süd</td>\n",
       "      <td>Miete sparen!</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/118391829</td>\n",
       "      <td>3.409204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>118392464</td>\n",
       "      <td>Wohnung</td>\n",
       "      <td>118392464</td>\n",
       "      <td>Miete</td>\n",
       "      <td>Weideweg 4, Gorbitz-Süd, Dresden</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Dresden</td>\n",
       "      <td>True</td>\n",
       "      <td>002.01008611707</td>\n",
       "      <td>...</td>\n",
       "      <td>26.56</td>\n",
       "      <td>13.66085</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1169</td>\n",
       "      <td>99.00</td>\n",
       "      <td>False</td>\n",
       "      <td>Gorbitz-Süd</td>\n",
       "      <td>MEGAPREIS bei Anmietung bis zum 22. Mai 2020!</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/118392464</td>\n",
       "      <td>3.727410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>118170392</td>\n",
       "      <td>Wohnung</td>\n",
       "      <td>118170392</td>\n",
       "      <td>Miete</td>\n",
       "      <td>Ebereschenstr. 32, Gorbitz-Süd, Dresden</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>Dresden</td>\n",
       "      <td>False</td>\n",
       "      <td>001.146060</td>\n",
       "      <td>...</td>\n",
       "      <td>36.32</td>\n",
       "      <td>13.66224</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1169</td>\n",
       "      <td>146.00</td>\n",
       "      <td>False</td>\n",
       "      <td>Gorbitz-Süd</td>\n",
       "      <td>MEGAPREIS bei Anmietung bis zum 22. Mai 2020!</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/118170392</td>\n",
       "      <td>4.019824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>117686040</td>\n",
       "      <td>Wohnung</td>\n",
       "      <td>117686040</td>\n",
       "      <td>Miete</td>\n",
       "      <td>Tanneberger Weg 24, Gorbitz-Süd, Dresden</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>Dresden</td>\n",
       "      <td>True</td>\n",
       "      <td>001.146060</td>\n",
       "      <td>...</td>\n",
       "      <td>49.50</td>\n",
       "      <td>13.67510</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1169</td>\n",
       "      <td>209.88</td>\n",
       "      <td>False</td>\n",
       "      <td>Gorbitz-Süd</td>\n",
       "      <td>Schnäppchenwochen und bis zu 50 % der monatl. ...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/117686040</td>\n",
       "      <td>4.240000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>78301671</td>\n",
       "      <td>Wohnung</td>\n",
       "      <td>78301671</td>\n",
       "      <td>Miete</td>\n",
       "      <td>Ginsterstr. 44, Gorbitz-Nord/Neu-Omsewitz, Dre...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Dresden</td>\n",
       "      <td>True</td>\n",
       "      <td>001.255775</td>\n",
       "      <td>...</td>\n",
       "      <td>73.82</td>\n",
       "      <td>13.66301</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1169</td>\n",
       "      <td>324.81</td>\n",
       "      <td>False</td>\n",
       "      <td>Gorbitz-Nord/Neu-Omsewitz</td>\n",
       "      <td>günstige 4-Raum-Wohnung I ab sofort</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/78301671</td>\n",
       "      <td>4.400027</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          ID Haus/Wohnung       ID.1 Miete/Kauf  \\\n",
       "3  118391829      Wohnung  118391829      Miete   \n",
       "4  118392464      Wohnung  118392464      Miete   \n",
       "5  118170392      Wohnung  118170392      Miete   \n",
       "6  117686040      Wohnung  117686040      Miete   \n",
       "7   78301671      Wohnung   78301671      Miete   \n",
       "\n",
       "                                             address  balcony  builtInKitchen  \\\n",
       "3            Wölfnitzer Ring 2, Gorbitz-Süd, Dresden     True           False   \n",
       "4                   Weideweg 4, Gorbitz-Süd, Dresden    False           False   \n",
       "5            Ebereschenstr. 32, Gorbitz-Süd, Dresden     True           False   \n",
       "6           Tanneberger Weg 24, Gorbitz-Süd, Dresden     True           False   \n",
       "7  Ginsterstr. 44, Gorbitz-Nord/Neu-Omsewitz, Dre...    False           False   \n",
       "\n",
       "      city  floorplan             from    ...     livingSpace       lon  \\\n",
       "3  Dresden       True  002.01008611707    ...           72.58  13.67285   \n",
       "4  Dresden       True  002.01008611707    ...           26.56  13.66085   \n",
       "5  Dresden      False       001.146060    ...           36.32  13.66224   \n",
       "6  Dresden       True       001.146060    ...           49.50  13.67510   \n",
       "7  Dresden       True       001.255775    ...           73.82  13.66301   \n",
       "\n",
       "   numberOfRooms  postcode   price  privateOffer                    quarter  \\\n",
       "3            2.0      1169  247.44         False                Gorbitz-Süd   \n",
       "4            1.0      1169   99.00         False                Gorbitz-Süd   \n",
       "5            1.0      1169  146.00         False                Gorbitz-Süd   \n",
       "6            2.0      1169  209.88         False                Gorbitz-Süd   \n",
       "7            4.0      1169  324.81         False  Gorbitz-Nord/Neu-Omsewitz   \n",
       "\n",
       "                                               title  \\\n",
       "3                                      Miete sparen!   \n",
       "4      MEGAPREIS bei Anmietung bis zum 22. Mai 2020!   \n",
       "5      MEGAPREIS bei Anmietung bis zum 22. Mai 2020!   \n",
       "6  Schnäppchenwochen und bis zu 50 % der monatl. ...   \n",
       "7                günstige 4-Raum-Wohnung I ab sofort   \n",
       "\n",
       "                                                 url    EUR/qm  \n",
       "3  https://www.immobilienscout24.de/expose/118391829  3.409204  \n",
       "4  https://www.immobilienscout24.de/expose/118392464  3.727410  \n",
       "5  https://www.immobilienscout24.de/expose/118170392  4.019824  \n",
       "6  https://www.immobilienscout24.de/expose/117686040  4.240000  \n",
       "7   https://www.immobilienscout24.de/expose/78301671  4.400027  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dresden = pd.read_csv('2020-05-28-Sachsen-Dresden-Wohnung-Miete.csv', skiprows=1)\n",
    "dresden = dresden[dresden['EUR/qm']>2]\n",
    "dresden.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>price</th>\n",
       "      <th>livingSpace</th>\n",
       "      <th>numberOfRooms</th>\n",
       "      <th>url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Attraktives Wohnen im Dresdner Süden!</td>\n",
       "      <td>623.00</td>\n",
       "      <td>124.57</td>\n",
       "      <td>4.0</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/94765199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>Friedrichstadt - 4-Zimmer-Maisonettewohnung in...</td>\n",
       "      <td>780.00</td>\n",
       "      <td>112.12</td>\n",
       "      <td>4.0</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/92968168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>Erstbezug nach Sanierung - helle und große 5 Z...</td>\n",
       "      <td>945.50</td>\n",
       "      <td>122.00</td>\n",
       "      <td>5.0</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/115915835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1041</th>\n",
       "      <td>Besondere Wohnung mit hohen Decken, großzügige...</td>\n",
       "      <td>1412.00</td>\n",
       "      <td>180.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/117390476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1238</th>\n",
       "      <td>Hell und freundlich!</td>\n",
       "      <td>849.45</td>\n",
       "      <td>105.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/116147407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1240</th>\n",
       "      <td>große 3,5 Zi-Dachterrassen-Wohnung in Dresden-...</td>\n",
       "      <td>850.00</td>\n",
       "      <td>105.00</td>\n",
       "      <td>3.5</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/117841622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1241</th>\n",
       "      <td>Willkommen in Ihrem neuem Zuhause!</td>\n",
       "      <td>850.00</td>\n",
       "      <td>105.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/114582610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1246</th>\n",
       "      <td>Ihre neu sanierte Familienwohnung!</td>\n",
       "      <td>1095.00</td>\n",
       "      <td>135.00</td>\n",
       "      <td>5.0</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/113973560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1304</th>\n",
       "      <td>www.r-o.de +++ 4,5-Zimmer-Maisonette-DG-Wohnun...</td>\n",
       "      <td>1048.00</td>\n",
       "      <td>127.00</td>\n",
       "      <td>4.5</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105022999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1368</th>\n",
       "      <td>Sehr schöne 4-Zimmer-Maisonette-Dachgeschosswo...</td>\n",
       "      <td>1140.00</td>\n",
       "      <td>136.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/110252501</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  title    price  livingSpace  \\\n",
       "24                Attraktives Wohnen im Dresdner Süden!   623.00       124.57   \n",
       "532   Friedrichstadt - 4-Zimmer-Maisonettewohnung in...   780.00       112.12   \n",
       "989   Erstbezug nach Sanierung - helle und große 5 Z...   945.50       122.00   \n",
       "1041  Besondere Wohnung mit hohen Decken, großzügige...  1412.00       180.00   \n",
       "1238                               Hell und freundlich!   849.45       105.00   \n",
       "1240  große 3,5 Zi-Dachterrassen-Wohnung in Dresden-...   850.00       105.00   \n",
       "1241                 Willkommen in Ihrem neuem Zuhause!   850.00       105.00   \n",
       "1246                 Ihre neu sanierte Familienwohnung!  1095.00       135.00   \n",
       "1304  www.r-o.de +++ 4,5-Zimmer-Maisonette-DG-Wohnun...  1048.00       127.00   \n",
       "1368  Sehr schöne 4-Zimmer-Maisonette-Dachgeschosswo...  1140.00       136.00   \n",
       "\n",
       "      numberOfRooms                                                url  \n",
       "24              4.0   https://www.immobilienscout24.de/expose/94765199  \n",
       "532             4.0   https://www.immobilienscout24.de/expose/92968168  \n",
       "989             5.0  https://www.immobilienscout24.de/expose/115915835  \n",
       "1041            4.0  https://www.immobilienscout24.de/expose/117390476  \n",
       "1238            4.0  https://www.immobilienscout24.de/expose/116147407  \n",
       "1240            3.5  https://www.immobilienscout24.de/expose/117841622  \n",
       "1241            4.0  https://www.immobilienscout24.de/expose/114582610  \n",
       "1246            5.0  https://www.immobilienscout24.de/expose/113973560  \n",
       "1304            4.5  https://www.immobilienscout24.de/expose/105022999  \n",
       "1368            4.0  https://www.immobilienscout24.de/expose/110252501  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "large_flats = dresden[(dresden['livingSpace']>100) & \\\n",
    "                      (dresden['livingSpace']<200) & \\\n",
    "                      (dresden['numberOfRooms'] > 3)]\n",
    "top10_large_flats = large_flats[['title', 'price', 'livingSpace', 'numberOfRooms', 'url']].head(10)\n",
    "\n",
    "top10_large_flats"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Städte Vergleich"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In Dresden 66.6% aller 2894 Wohnungen unter 10EUR/qm\n"
     ]
    }
   ],
   "source": [
    "print('In Dresden %.1f%% aller %i Wohnungen unter 10EUR/qm' % (len(dresden[dresden['EUR/qm']<10.0])*100/len(dresden), len(dresden)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2896    https://www.immobilienscout24.de/expose/117058958\n",
       "2895    https://www.immobilienscout24.de/expose/116914947\n",
       "2894    https://www.immobilienscout24.de/expose/118553451\n",
       "2893    https://www.immobilienscout24.de/expose/118256577\n",
       "2892     https://www.immobilienscout24.de/expose/93846070\n",
       "2891    https://www.immobilienscout24.de/expose/117995845\n",
       "2890    https://www.immobilienscout24.de/expose/117995506\n",
       "2888    https://www.immobilienscout24.de/expose/116914949\n",
       "2889    https://www.immobilienscout24.de/expose/117058957\n",
       "2887    https://www.immobilienscout24.de/expose/118518743\n",
       "Name: url, dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dresden.sort_values('EUR/qm', ascending=False).head(10)['url']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In Berlin 18.7% aller Wohnungen unter 10EUR/qm 2262\n"
     ]
    }
   ],
   "source": [
    "berlin = pd.read_csv('2020-05-28-Berlin-Berlin-Wohnung-Miete.csv', skiprows=1)\n",
    "berlin = berlin[berlin['EUR/qm']>2]\n",
    "print('In Berlin %.1f%% aller Wohnungen unter 10EUR/qm' % (len(berlin[berlin['EUR/qm']<10.0])*100/len(berlin)), len(berlin))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2261    https://www.immobilienscout24.de/expose/116974518\n",
       "2260    https://www.immobilienscout24.de/expose/117032756\n",
       "2259    https://www.immobilienscout24.de/expose/118603239\n",
       "2258    https://www.immobilienscout24.de/expose/117669603\n",
       "2257     https://www.immobilienscout24.de/expose/79469157\n",
       "2256    https://www.immobilienscout24.de/expose/118649332\n",
       "2255     https://www.immobilienscout24.de/expose/79469592\n",
       "2254     https://www.immobilienscout24.de/expose/79469490\n",
       "2253    https://www.immobilienscout24.de/expose/117065955\n",
       "2252    https://www.immobilienscout24.de/expose/118680622\n",
       "Name: url, dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "berlin.sort_values('EUR/qm', ascending=False).head(10)['url']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In Leipzig 81.8% aller 4572 Wohnungen unter 10EUR/qm\n"
     ]
    }
   ],
   "source": [
    "leipzig = pd.read_csv('2020-05-28-Sachsen-Leipzig-Wohnung-Miete.csv', skiprows=1, engine='python')\n",
    "leipzig = leipzig[leipzig['EUR/qm']>2]\n",
    "print('In Leipzig %.1f%% aller %i Wohnungen unter 10EUR/qm' % (len(leipzig[leipzig['EUR/qm']<10.0])*100/len(leipzig), len(leipzig)))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In Chemnitz 99.8% aller 4623 Wohnungen unter 10EUR/qm\n"
     ]
    }
   ],
   "source": [
    "chemnitz = pd.read_csv('2020-05-28-Sachsen-Chemnitz-Wohnung-Miete.csv', skiprows=1, engine='python')\n",
    "chemnitz = chemnitz[chemnitz['EUR/qm']>2]\n",
    "print('In Chemnitz %.1f%% aller %i Wohnungen unter 10EUR/qm' % (len(chemnitz[chemnitz['EUR/qm']<10.0])*100/len(chemnitz),len(chemnitz)))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In Stuttgart 0.8% aller 963 Wohnungen unter 10EUR/qm\n"
     ]
    }
   ],
   "source": [
    "stuttgart = pd.read_csv('2020-05-28-Baden-Wuerttemberg-Stuttgart-Wohnung-Miete.csv', skiprows=1, engine='python')\n",
    "stuttgart = stuttgart[stuttgart['EUR/qm']>2]\n",
    "print('In Stuttgart %.1f%% aller %i Wohnungen unter 10EUR/qm' % (len(stuttgart[stuttgart['EUR/qm']<10.0])*100/len(stuttgart),len(stuttgart)))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "962    https://www.immobilienscout24.de/expose/115694016\n",
       "961    https://www.immobilienscout24.de/expose/117287343\n",
       "960    https://www.immobilienscout24.de/expose/116452677\n",
       "959    https://www.immobilienscout24.de/expose/117150532\n",
       "958    https://www.immobilienscout24.de/expose/114790904\n",
       "957    https://www.immobilienscout24.de/expose/116576066\n",
       "956    https://www.immobilienscout24.de/expose/117178882\n",
       "955    https://www.immobilienscout24.de/expose/118234912\n",
       "954    https://www.immobilienscout24.de/expose/118800570\n",
       "953    https://www.immobilienscout24.de/expose/118103287\n",
       "Name: url, dtype: object"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stuttgart.sort_values('EUR/qm', ascending=False).head(10)['url']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,5))\n",
    "\n",
    "f = 1\n",
    "plt.scatter(x=stuttgart.index[::f], y=stuttgart['EUR/qm'][::f], label='Stuttgart')\n",
    "plt.scatter(x=berlin.index[::f], y=berlin['EUR/qm'][::f], label='Berlin')\n",
    "plt.scatter(x=dresden.index[::f], y=dresden['EUR/qm'][::f], label='Dresden')\n",
    "plt.scatter(x=leipzig.index[::f], y=leipzig['EUR/qm'][::f], label='Leipzig')\n",
    "plt.scatter(x=chemnitz.index[::f], y=chemnitz['EUR/qm'][::f], label='Chemnitz')\n",
    "\n",
    "plt.xlabel('Wohnung #')\n",
    "plt.ylabel('Kaltmiete in EUR je qm')\n",
    "plt.title('Wohnungen zur Miete in verschiedenen Städten\\n28.04.2020 auf immoscout24.de')\n",
    "plt.legend(loc=2)\n",
    "plt.ylim([3,38])\n",
    "\n",
    "plt.annotate('CC-BY2.0 Paul Balzer', xy=(0.96,.025), xycoords='figure fraction', ha='right')\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.savefig('2020-05-28-Stuttgart-Berlin-Chemnitz-Leipzig-Dresden-Wohnung-Miete-EUR-qm.png', dpi=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "\n",
    "f = 1\n",
    "plt.scatter(x=dresden.index[::f], y=dresden['EUR/qm'][::f],\n",
    "            c=dresden['numberOfRooms'][::f], s=(dresden['livingSpace'][::f]*0.2)**2,\n",
    "            label='Dresden', alpha=0.8, cmap='Blues')\n",
    "\n",
    "plt.colorbar(label='Anzahl Räume')\n",
    "plt.xlabel('Wohnung #')\n",
    "plt.ylabel('EUR/qm')\n",
    "plt.title('Wohnungen zur Miete\\n28.04.2020 auf Immoscout24.de')\n",
    "#plt.legend()\n",
    "plt.ylim([0,20])\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.savefig('2020-05-28-Sachsen-Dresden-Wohnung-Miete-EUR-qm.png', dpi=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "\n",
    "f = 1\n",
    "plt.scatter(x=dresden.index[::f], y=dresden['price'][::f],\n",
    "            c=dresden['numberOfRooms'][::f], s=(dresden['livingSpace'][::f]*0.2)**2,\n",
    "            label='Dresden', alpha=0.8, cmap='Blues')\n",
    "\n",
    "for i in [512, 989, 1710]:\n",
    "    plt.annotate(str(int(dresden.loc[i, 'livingSpace'])) + 'qm',\n",
    "                 xy=(i, dresden.loc[i, 'price']), ha='center')\n",
    "\n",
    "plt.colorbar(label='Anzahl Räume')\n",
    "plt.xlabel('Wohnung #')\n",
    "plt.ylabel('Kaltmiete in EUR')\n",
    "plt.title('Wohnungen in Dresden zur Miete\\n28.04.2020 auf Immoscout24.de')\n",
    "#plt.legend()\n",
    "plt.ylim([0,3000])\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.savefig('2020-05-28-Sachsen-Dresden-Wohnung-Miete-EUR.png', dpi=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stadtteile Dresden"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('./stadtteile-Dresden.json') as data_file:    \n",
    "    stadtteil_json = json.load(data_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "stadtteile_osm = []\n",
    "for i, stadtteil in enumerate(stadtteil_json['features']):\n",
    "    try:\n",
    "        stadtteilname = stadtteil['properties']['name']\n",
    "        stadtteile_osm.append(stadtteilname)\n",
    "    except:\n",
    "        continue\n",
    "        \n",
    "stadtteile_osm.sort()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "stadtteile_osm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Postleitzahlen Dresden"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plzs = \"01057,01067,01069,01097,01099,01108,01109,01127,01129,01139,01156,01157,01159,01169,01187,01189,01217,01219,01227,01237,01239,01257,01259,01277,01279,01307,01309,01312,01324,01326,01327,01328,01329,01462,01465,01728\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ddplzs = plzs.split(',')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### QGIS Filter output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for plz in ddplzs:\n",
    "    print('\"plz\" LIKE \"%s\" OR' % plz.strip())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Daten lesen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('2015-08-09-17-49-immo-komplett.csv', encoding='utf-8', dtype={'PLZ': str})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.index = data.ID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Daten Cleanen"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Preise cleanen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def preiscleaner(preis, mio=False):\n",
    "    #print preis\n",
    "    try:\n",
    "        p = preis.split()\n",
    "        p = float(p[0].replace('.', '').replace(',','.'))\n",
    "        if mio:\n",
    "            return p/1e6\n",
    "        else:\n",
    "            return int(p)\n",
    "    except:\n",
    "        return preis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['Kaufpreis'] = data['Kaufpreis'].apply(preiscleaner, mio=True)\n",
    "data['Kaltmiete'] = data['Kaltmiete'].apply(preiscleaner)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Flächen cleanen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def squaremetercleaner(squaremeter):\n",
    "    #print squaremeter\n",
    "    try:\n",
    "        m = squaremeter.split()\n",
    "        m = float(m[0].replace(',', '.'))\n",
    "        return int(m)\n",
    "    except:\n",
    "        return 0.0    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[u'Wohnfläche'] = data[u'Wohnfläche'].apply(squaremetercleaner)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Zimmeranzahl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[u'Zimmer'] = data[u'Zimmer'].str.replace(',','.').astype('float')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Verkaufsvolumen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "verkaufgroup = data[data['Miete/Kauf']=='Kauf'].groupby('From').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "verkaufgroup.sort('Kaufpreis', ascending=True, inplace=True)\n",
    "verkaufgroup['Kaufpreis'].dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "verkaufgroup['Kaufpreis'].tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "verkaufgroup['Kaufpreis'][-10:].plot(kind='barh', title='Volumen Kauf-Immobilien in Dresden, Gruppiert nach Anbieter')\n",
    "\n",
    "plt.xlabel(u'mio €')\n",
    "plt.tight_layout()\n",
    "plt.savefig('Groupby-Anbieter-KaufpreisSumme.png', dpi=150)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Anzahl an Immobilien"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fromgroup = data.groupby(['From','Miete/Kauf']).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fromgroup.sort('ID', ascending=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fromgroup['ID'][-10:].plot(kind='barh', title='Angebotene Immobilien in Dresden, Gruppiert nach Anbieter')\n",
    "\n",
    "plt.xlabel('Anzahl')\n",
    "plt.tight_layout()\n",
    "plt.savefig('Groupby-Anbieter.png', dpi=150)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Immopreis Predictor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import r2_score\n",
    "from sklearn import linear_model\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "from sklearn import preprocessing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mietwohnungen = data[(data['Miete/Kauf']=='Miete') & (data['Haus/Wohnung']=='Wohnung')]\n",
    "kaufwohnungen = data[(data['Miete/Kauf']=='Kauf') & (data['Haus/Wohnung']=='Wohnung')]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Kaltmieten über 5000€ sind unrealistisch und sind Fehler bei Eingabe auf immoscout24.de (Kauf statt Miete), die werfen wir raus."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mietwohnungen = mietwohnungen[mietwohnungen.Kaltmiete < 5000.0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Verkaufspreis schätzen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = pd.concat([kaufwohnungen[[u'Wohnfläche', u'Zimmer']], pd.get_dummies(kaufwohnungen[u'Stadtteil'])], axis=1)\n",
    "y = kaufwohnungen['Kaufpreis']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Robustly fit linear model with RANSAC algorithm\n",
    "regressor = linear_model.RANSACRegressor(linear_model.LinearRegression())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "regressor.fit(X,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "inlier_mask = regressor.inlier_mask_\n",
    "outlier_mask = np.logical_not(inlier_mask)\n",
    "print(u'%.1f%% der Wohnungen als Ausreißer identifiziert' % (sum(outlier_mask)*100.0/(sum(outlier_mask)+sum(inlier_mask))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = regressor.predict(X)\n",
    "kaufwohnungen[u'Kaufpreis (geschätzt)'] = y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "r2_ransac = r2_score(y[inlier_mask], y_pred[inlier_mask])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.regplot(kaufwohnungen['Kaufpreis'][inlier_mask],\n",
    "            kaufwohnungen[u'Kaufpreis (geschätzt)'][inlier_mask])\n",
    "plt.scatter(kaufwohnungen['Kaufpreis'][outlier_mask],\n",
    "            kaufwohnungen[u'Kaufpreis (geschätzt)'][outlier_mask],\n",
    "            alpha=0.4,\n",
    "            c='r')\n",
    "\n",
    "plt.title(u'Schätzung des Kaufpreises (in mio €) von Eigentumswohnungen in Dresden\\n(Stadtteil, Anzahl Zimmer, Wohnfläche)')\n",
    "plt.text(0.85, 0.95, r'$R^2=%.2f$' % r2_ransac)\n",
    "plt.xlim(0, 1.1)\n",
    "plt.ylim(0, 1.1)\n",
    "plt.tight_layout()\n",
    "plt.savefig('LinReg-Kauf-Wohnung.png', dpi=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X.columns[2:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(stadtteile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Immoscout Datensatz durch gehen und schauen,\n",
    "# ob die Stadtteile auch den Namen der offiziellen\n",
    "# Stadtteile tragen\n",
    "for stadtteil in X.columns[2:]:\n",
    "    # Da bei einigen nur der Beginn der Namen gleich ist,\n",
    "    # müssen wir leider alle durch gehen :)\n",
    "    \n",
    "    \n",
    "    \n",
    "    print(u'✓ %s' % (stadtteil))     "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sum(X[u'Äußere Neustadt (Antonstadt)'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_my = np.zeros(103)\n",
    "X_my[0] = 121.0\n",
    "X_my[1] = 3.0\n",
    "X_my[-1] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_my = regressor.predict(X_my)[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print('Geschätzter Marktwert: %.3f€' % (1000.0*y_my))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Kaltmiete schätzen\n",
    "\n",
    "### Nur mit Wohnfläche und Anzahl der Zimmer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = mietwohnungen[[u'Wohnfläche', u'Zimmer']]\n",
    "y = mietwohnungen['Kaltmiete']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "reg = linear_model.LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "reg.fit(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = reg.predict(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mietwohnungen[u'Kaltmiete geschätzt'] = y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "r_2 = r2_score(y, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.regplot(mietwohnungen['Kaltmiete'] ,mietwohnungen[u'Kaltmiete geschätzt'])\n",
    "plt.title(u'Schätzung der Kaltmiete von Mietwohnungen in Dresden\\n(Anzahl Zimmer, Fläche)')\n",
    "plt.text(2600, 2100, r'$R^2=%.2f$' % r_2)\n",
    "plt.xlim(0, 3000)\n",
    "plt.ylim(0, 3000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Vorhersage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "m = 155 # m2\n",
    "z = 4  # Zimmer\n",
    "print('Kaltmiete für %iR-Wohnung %im^2 in Dresden: %i€' % (z, m, reg.predict([m, z])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for z in range(2, 6):\n",
    "    for m in range(40, 200, 10):\n",
    "        print('Kaltmiete für %iR-Wohnung %im^2 in Dresden: %i€' % (z, m, reg.predict([m, z])))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Zusätzlich noch Lage (Postleitzahl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X2 = pd.concat([X, pd.get_dummies(mietwohnungen[u'PLZ'])], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "reg2 = linear_model.LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "reg2.fit(X2, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "y2_pred = reg2.predict(X2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mietwohnungen[u'Kaltmiete geschätzt (mit Lage)'] = y2_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "r_22 = r2_score(y, y2_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.regplot(mietwohnungen['Kaltmiete'] ,mietwohnungen[u'Kaltmiete geschätzt (mit Lage)'])\n",
    "plt.title(u'Schätzung der Kaltmiete von Mietwohnungen in Dresden\\n(Lage, Anzahl Zimmer, Fläche)')\n",
    "plt.text(2600, 2100, r'$R^2=%.2f$' % r_22)\n",
    "plt.xlim(0, 3000)\n",
    "plt.ylim(0, 3000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Outlier detection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Robustly fit linear model with RANSAC algorithm\n",
    "model_ransac = linear_model.RANSACRegressor(linear_model.LinearRegression(), residual_threshold=250.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_ransac.fit(X2, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "inlier_mask = model_ransac.inlier_mask_\n",
    "outlier_mask = np.logical_not(inlier_mask)\n",
    "print(u'%.1f%% der Wohnungen als Ausreißer identifiziert' % (sum(outlier_mask)*100.0/(sum(outlier_mask)+sum(inlier_mask))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "y2_pred_ransac = model_ransac.predict(X2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mietwohnungen[u'Kaltmiete geschätzt (mit Lage)'] = y2_pred_ransac.astype('int')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "r_22_ransac = r2_score(y[inlier_mask], y2_pred_ransac[inlier_mask])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.regplot(mietwohnungen['Kaltmiete'][inlier_mask],\n",
    "            mietwohnungen[u'Kaltmiete geschätzt (mit Lage)'][inlier_mask])\n",
    "plt.scatter(mietwohnungen['Kaltmiete'][outlier_mask],\n",
    "            mietwohnungen[u'Kaltmiete geschätzt (mit Lage)'][outlier_mask],\n",
    "            alpha=0.1,\n",
    "            c='r')\n",
    "\n",
    "plt.title(u'Schätzung der Kaltmiete von Mietwohnungen in Dresden\\n(Lage, Anzahl Zimmer, Fläche)')\n",
    "plt.text(2600, 2100, r'$R^2=%.2f$' % r_22_ransac)\n",
    "plt.xlim(0, 3000)\n",
    "plt.ylim(0, 3000)\n",
    "plt.tight_layout()\n",
    "plt.savefig('LinReg.png', dpi=150)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Vorhersage für alle Postleitzahlen"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Datencheck: Sind alle PLZ vorhanden?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(X2.columns[2:]) == len(ddplzs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for plz in X2.columns[2:]:\n",
    "    if plz in ddplzs:\n",
    "        print(u'%s ✓' % plz)\n",
    "    else:\n",
    "        print(u'%s ✗' % plz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X2.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for raum in range(2, 6):\n",
    "    kaltmietenDD = pd.DataFrame()\n",
    "    A = pd.Series(raum*25.0 * np.ones(len(ddplzs)))\n",
    "    Z = pd.Series(raum * np.ones(len(ddplzs)))\n",
    "\n",
    "    X_pred = pd.concat([A, Z, pd.get_dummies(ddplzs)], axis=1)\n",
    "\n",
    "    kaltmieten = model_ransac.predict(X_pred)\n",
    "\n",
    "    kaltmietenDD = pd.DataFrame(data={'Wohnfläche': A, 'Zimmer': Z, 'PLZ': ddplzs, 'Kaltmiete': kaltmieten.flatten()})\n",
    "\n",
    "    kaltmietenDD['KaltmieteProQm'] = kaltmietenDD['Kaltmiete'] / kaltmietenDD['Wohnfläche']\n",
    "\n",
    "    kaltmietenDD[['PLZ', 'KaltmieteProQm']].to_csv('Kaltmieten%sR.csv' % raum, index=False, float_format='%.2f')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "kaltmietenDD.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top 10 günstige Wohnungen finden"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mietwohnungen[u'Differenz zur Schätzung'] = mietwohnungen[u'Kaltmiete'] - mietwohnungen[u'Kaltmiete geschätzt (mit Lage)']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "topmietwohnungen = mietwohnungen.sort(u'Differenz zur Schätzung')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3 Raum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "topmietwohnungen[topmietwohnungen['Zimmer']==3][['Titel', u'Wohnfläche', 'Kaltmiete', u'Differenz zur Schätzung', 'Stadtteil', 'Zimmer']].head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4 Raum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "topmietwohnungen[topmietwohnungen['Zimmer']==4][['Titel', u'Wohnfläche', 'Kaltmiete', u'Differenz zur Schätzung', 'Stadtteil', 'Zimmer']].head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5 Raum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "topmietwohnungen[topmietwohnungen['Zimmer']==5][['Titel', u'Wohnfläche', 'Kaltmiete', u'Differenz zur Schätzung', 'Stadtteil', 'Zimmer']].head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "Fragen? @Balzer82"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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