Analyzing immo data in Dresden

immoanalyze.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set_context('talk')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = pd.read_csv('2015-08-09-17-49-immo-komplett.csv', encoding='utf-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data.index = data.ID"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Daten Cleanen"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Preise cleanen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": true
   },
   "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": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data['Kaufpreis'] = data['Kaufpreis'].apply(preiscleaner, mio=True)\n",
    "data['Kaltmiete'] = data['Kaltmiete'].apply(preiscleaner)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### Flächen cleanen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": true
   },
   "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": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data[u'Wohnfläche'] = data[u'Wohnfläche'].apply(squaremetercleaner)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Zimmeranzahl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data[u'Zimmer'] = data[u'Zimmer'].str.replace(',','.').astype('float')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stadtteil\n",
    "\n",
    "Vorletzte Info in `Adresse` ist Stadtteil"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data[u'Lage'] = data.Adresse.apply(lambda a: a.split(',')[-2])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Verkaufsvolumen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "verkaufgroup = data[data['Miete/Kauf']=='Kauf'].groupby('From').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "verkaufgroup.sort('Kaufpreis', ascending=True, inplace=True)\n",
    "verkaufgroup['Kaufpreis'].dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "From\n",
       "Herr André Markwart              8.030873\n",
       " Gernot Poppe                    8.538303\n",
       " Richert & Oertel Immobilien    12.569307\n",
       " Lutz Schiel                    15.102836\n",
       " Gerd Friedemann                17.738563\n",
       "Frau Nicole Ulbricht            19.949706\n",
       "Herr André  Findeisen           23.394700\n",
       "Frau Alexandra Gärtner          30.325000\n",
       " Florian Austel                 32.919235\n",
       " IMMOVISTA GmbH                 45.503000\n",
       "Name: Kaufpreis, dtype: float64"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "verkaufgroup['Kaufpreis'].tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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yzE1n2RM43N3fATCzI4BPzMzS+vfd/ZEK5b9H9JyPN7MBwAAiqF82U/7l7j4p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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b8ff410>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "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": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "fromgroup = data.groupby(['From','Miete/Kauf']).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "fromgroup.sort('ID', ascending=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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L8NzUfWl0/Cp3X7TxLaWtmNkod/9judtRiJltCRyZuQm2UUPOGV075osp7dso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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a4f5950>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "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": 69,
   "metadata": {
    "collapsed": false
   },
   "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": [
    "Nur Mietwohnungen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "mietwohnungen = data[(data['Miete/Kauf']=='Miete') & (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": 71,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "mietwohnungen = mietwohnungen[mietwohnungen.Kaltmiete < 5000.0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Kaltmiete schätzen\n",
    "\n",
    "### Nur mit Wohnfläche und Anzahl der Zimmer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X = mietwohnungen[[u'Wohnfläche', u'Zimmer']]\n",
    "y = mietwohnungen['Kaltmiete']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "reg = linear_model.LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reg.fit(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "y_pred = reg.predict(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mietwohnungen[u'Kaltmiete geschätzt'] = y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "r_2 = r2_score(y, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 3000)"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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DQzYP5jDl19Y26xdTjkQiIaqry1AZ5I7KILd0/3NPZZB7KoPcC8ogq30wh3Sa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\nwBRCCCGEEBX1/wOFzrdMwUagXgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10c82cc90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "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": 79,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Kaltmiete für 4R-Wohnung 155m^2 in Dresden: 1292€\n"
     ]
    }
   ],
   "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": 80,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Kaltmiete für 1R-Wohnung 40m^2 in Dresden: 305€\n",
      "Kaltmiete für 2R-Wohnung 40m^2 in Dresden: 265€\n",
      "Kaltmiete für 3R-Wohnung 40m^2 in Dresden: 225€\n",
      "Kaltmiete für 4R-Wohnung 40m^2 in Dresden: 185€\n",
      "Kaltmiete für 5R-Wohnung 40m^2 in Dresden: 145€\n",
      "Kaltmiete für 6R-Wohnung 40m^2 in Dresden: 105€\n",
      "Kaltmiete für 1R-Wohnung 50m^2 in Dresden: 402€\n",
      "Kaltmiete für 2R-Wohnung 50m^2 in Dresden: 362€\n",
      "Kaltmiete für 3R-Wohnung 50m^2 in Dresden: 322€\n",
      "Kaltmiete für 4R-Wohnung 50m^2 in Dresden: 282€\n",
      "Kaltmiete für 5R-Wohnung 50m^2 in Dresden: 242€\n",
      "Kaltmiete für 6R-Wohnung 50m^2 in Dresden: 202€\n",
      "Kaltmiete für 1R-Wohnung 60m^2 in Dresden: 498€\n",
      "Kaltmiete für 2R-Wohnung 60m^2 in Dresden: 458€\n",
      "Kaltmiete für 3R-Wohnung 60m^2 in Dresden: 418€\n",
      "Kaltmiete für 4R-Wohnung 60m^2 in Dresden: 378€\n",
      "Kaltmiete für 5R-Wohnung 60m^2 in Dresden: 338€\n",
      "Kaltmiete für 6R-Wohnung 60m^2 in Dresden: 298€\n",
      "Kaltmiete für 1R-Wohnung 70m^2 in Dresden: 594€\n",
      "Kaltmiete für 2R-Wohnung 70m^2 in Dresden: 554€\n",
      "Kaltmiete für 3R-Wohnung 70m^2 in Dresden: 514€\n",
      "Kaltmiete für 4R-Wohnung 70m^2 in Dresden: 474€\n",
      "Kaltmiete für 5R-Wohnung 70m^2 in Dresden: 434€\n",
      "Kaltmiete für 6R-Wohnung 70m^2 in Dresden: 394€\n",
      "Kaltmiete für 1R-Wohnung 80m^2 in Dresden: 690€\n",
      "Kaltmiete für 2R-Wohnung 80m^2 in Dresden: 650€\n",
      "Kaltmiete für 3R-Wohnung 80m^2 in Dresden: 610€\n",
      "Kaltmiete für 4R-Wohnung 80m^2 in Dresden: 570€\n",
      "Kaltmiete für 5R-Wohnung 80m^2 in Dresden: 530€\n",
      "Kaltmiete für 6R-Wohnung 80m^2 in Dresden: 490€\n",
      "Kaltmiete für 1R-Wohnung 90m^2 in Dresden: 786€\n",
      "Kaltmiete für 2R-Wohnung 90m^2 in Dresden: 746€\n",
      "Kaltmiete für 3R-Wohnung 90m^2 in Dresden: 706€\n",
      "Kaltmiete für 4R-Wohnung 90m^2 in Dresden: 666€\n",
      "Kaltmiete für 5R-Wohnung 90m^2 in Dresden: 626€\n",
      "Kaltmiete für 6R-Wohnung 90m^2 in Dresden: 586€\n",
      "Kaltmiete für 1R-Wohnung 100m^2 in Dresden: 883€\n",
      "Kaltmiete für 2R-Wohnung 100m^2 in Dresden: 843€\n",
      "Kaltmiete für 3R-Wohnung 100m^2 in Dresden: 803€\n",
      "Kaltmiete für 4R-Wohnung 100m^2 in Dresden: 763€\n",
      "Kaltmiete für 5R-Wohnung 100m^2 in Dresden: 723€\n",
      "Kaltmiete für 6R-Wohnung 100m^2 in Dresden: 683€\n",
      "Kaltmiete für 1R-Wohnung 110m^2 in Dresden: 979€\n",
      "Kaltmiete für 2R-Wohnung 110m^2 in Dresden: 939€\n",
      "Kaltmiete für 3R-Wohnung 110m^2 in Dresden: 899€\n",
      "Kaltmiete für 4R-Wohnung 110m^2 in Dresden: 859€\n",
      "Kaltmiete für 5R-Wohnung 110m^2 in Dresden: 819€\n",
      "Kaltmiete für 6R-Wohnung 110m^2 in Dresden: 779€\n",
      "Kaltmiete für 1R-Wohnung 120m^2 in Dresden: 1075€\n",
      "Kaltmiete für 2R-Wohnung 120m^2 in Dresden: 1035€\n",
      "Kaltmiete für 3R-Wohnung 120m^2 in Dresden: 995€\n",
      "Kaltmiete für 4R-Wohnung 120m^2 in Dresden: 955€\n",
      "Kaltmiete für 5R-Wohnung 120m^2 in Dresden: 915€\n",
      "Kaltmiete für 6R-Wohnung 120m^2 in Dresden: 875€\n",
      "Kaltmiete für 1R-Wohnung 130m^2 in Dresden: 1171€\n",
      "Kaltmiete für 2R-Wohnung 130m^2 in Dresden: 1131€\n",
      "Kaltmiete für 3R-Wohnung 130m^2 in Dresden: 1091€\n",
      "Kaltmiete für 4R-Wohnung 130m^2 in Dresden: 1051€\n",
      "Kaltmiete für 5R-Wohnung 130m^2 in Dresden: 1011€\n",
      "Kaltmiete für 6R-Wohnung 130m^2 in Dresden: 971€\n",
      "Kaltmiete für 1R-Wohnung 140m^2 in Dresden: 1268€\n",
      "Kaltmiete für 2R-Wohnung 140m^2 in Dresden: 1227€\n",
      "Kaltmiete für 3R-Wohnung 140m^2 in Dresden: 1187€\n",
      "Kaltmiete für 4R-Wohnung 140m^2 in Dresden: 1147€\n",
      "Kaltmiete für 5R-Wohnung 140m^2 in Dresden: 1107€\n",
      "Kaltmiete für 6R-Wohnung 140m^2 in Dresden: 1067€\n",
      "Kaltmiete für 1R-Wohnung 150m^2 in Dresden: 1364€\n",
      "Kaltmiete für 2R-Wohnung 150m^2 in Dresden: 1324€\n",
      "Kaltmiete für 3R-Wohnung 150m^2 in Dresden: 1284€\n",
      "Kaltmiete für 4R-Wohnung 150m^2 in Dresden: 1244€\n",
      "Kaltmiete für 5R-Wohnung 150m^2 in Dresden: 1204€\n",
      "Kaltmiete für 6R-Wohnung 150m^2 in Dresden: 1164€\n",
      "Kaltmiete für 1R-Wohnung 160m^2 in Dresden: 1460€\n",
      "Kaltmiete für 2R-Wohnung 160m^2 in Dresden: 1420€\n",
      "Kaltmiete für 3R-Wohnung 160m^2 in Dresden: 1380€\n",
      "Kaltmiete für 4R-Wohnung 160m^2 in Dresden: 1340€\n",
      "Kaltmiete für 5R-Wohnung 160m^2 in Dresden: 1300€\n",
      "Kaltmiete für 6R-Wohnung 160m^2 in Dresden: 1260€\n",
      "Kaltmiete für 1R-Wohnung 170m^2 in Dresden: 1556€\n",
      "Kaltmiete für 2R-Wohnung 170m^2 in Dresden: 1516€\n",
      "Kaltmiete für 3R-Wohnung 170m^2 in Dresden: 1476€\n",
      "Kaltmiete für 4R-Wohnung 170m^2 in Dresden: 1436€\n",
      "Kaltmiete für 5R-Wohnung 170m^2 in Dresden: 1396€\n",
      "Kaltmiete für 6R-Wohnung 170m^2 in Dresden: 1356€\n",
      "Kaltmiete für 1R-Wohnung 180m^2 in Dresden: 1652€\n",
      "Kaltmiete für 2R-Wohnung 180m^2 in Dresden: 1612€\n",
      "Kaltmiete für 3R-Wohnung 180m^2 in Dresden: 1572€\n",
      "Kaltmiete für 4R-Wohnung 180m^2 in Dresden: 1532€\n",
      "Kaltmiete für 5R-Wohnung 180m^2 in Dresden: 1492€\n",
      "Kaltmiete für 6R-Wohnung 180m^2 in Dresden: 1452€\n",
      "Kaltmiete für 1R-Wohnung 190m^2 in Dresden: 1749€\n",
      "Kaltmiete für 2R-Wohnung 190m^2 in Dresden: 1709€\n",
      "Kaltmiete für 3R-Wohnung 190m^2 in Dresden: 1669€\n",
      "Kaltmiete für 4R-Wohnung 190m^2 in Dresden: 1629€\n",
      "Kaltmiete für 5R-Wohnung 190m^2 in Dresden: 1589€\n",
      "Kaltmiete für 6R-Wohnung 190m^2 in Dresden: 1549€\n",
      "Kaltmiete für 1R-Wohnung 200m^2 in Dresden: 1845€\n",
      "Kaltmiete für 2R-Wohnung 200m^2 in Dresden: 1805€\n",
      "Kaltmiete für 3R-Wohnung 200m^2 in Dresden: 1765€\n",
      "Kaltmiete für 4R-Wohnung 200m^2 in Dresden: 1725€\n",
      "Kaltmiete für 5R-Wohnung 200m^2 in Dresden: 1685€\n",
      "Kaltmiete für 6R-Wohnung 200m^2 in Dresden: 1645€\n",
      "Kaltmiete für 1R-Wohnung 210m^2 in Dresden: 1941€\n",
      "Kaltmiete für 2R-Wohnung 210m^2 in Dresden: 1901€\n",
      "Kaltmiete für 3R-Wohnung 210m^2 in Dresden: 1861€\n",
      "Kaltmiete für 4R-Wohnung 210m^2 in Dresden: 1821€\n",
      "Kaltmiete für 5R-Wohnung 210m^2 in Dresden: 1781€\n",
      "Kaltmiete für 6R-Wohnung 210m^2 in Dresden: 1741€\n",
      "Kaltmiete für 1R-Wohnung 220m^2 in Dresden: 2037€\n",
      "Kaltmiete für 2R-Wohnung 220m^2 in Dresden: 1997€\n",
      "Kaltmiete für 3R-Wohnung 220m^2 in Dresden: 1957€\n",
      "Kaltmiete für 4R-Wohnung 220m^2 in Dresden: 1917€\n",
      "Kaltmiete für 5R-Wohnung 220m^2 in Dresden: 1877€\n",
      "Kaltmiete für 6R-Wohnung 220m^2 in Dresden: 1837€\n",
      "Kaltmiete für 1R-Wohnung 230m^2 in Dresden: 2133€\n",
      "Kaltmiete für 2R-Wohnung 230m^2 in Dresden: 2093€\n",
      "Kaltmiete für 3R-Wohnung 230m^2 in Dresden: 2053€\n",
      "Kaltmiete für 4R-Wohnung 230m^2 in Dresden: 2013€\n",
      "Kaltmiete für 5R-Wohnung 230m^2 in Dresden: 1973€\n",
      "Kaltmiete für 6R-Wohnung 230m^2 in Dresden: 1933€\n"
     ]
    }
   ],
   "source": [
    "for m in range(40, 240, 10):\n",
    "    for z in range(1, 7):\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 (Stadtteil)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X2 = pd.concat([X, pd.get_dummies(mietwohnungen[u'Lage'])], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "reg2 = linear_model.LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reg2.fit(X2, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "y2_pred = reg2.predict(X2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mietwohnungen[u'Kaltmiete geschätzt (mit Lage)'] = y2_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "r_22 = r2_score(y, y2_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 3000)"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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4XtwkurizU86TznvODGPWgmkGlKrWisj3gJ8Gwd4/cF0r03GD6t/FzcgEN57nY8A9QevZ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\nTPwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10c81a550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "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": 88,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Robustly fit linear model with RANSAC algorithm\n",
    "model_ransac = linear_model.RANSACRegressor(linear_model.LinearRegression())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RANSACRegressor(base_estimator=LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False),\n",
       "        is_data_valid=None, is_model_valid=None, max_trials=100,\n",
       "        min_samples=None, random_state=None, residual_metric=None,\n",
       "        residual_threshold=None, stop_n_inliers=inf, stop_probability=0.99,\n",
       "        stop_score=inf)"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_ransac.fit(X2, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "29.1% der Wohnungen als Ausreißer identifiziert\n"
     ]
    }
   ],
   "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": 91,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "y2_pred_ransac = model_ransac.predict(X2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mietwohnungen[u'Kaltmiete geschätzt (mit Lage)'] = y2_pred_ransac.astype('int')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "r_22_ransac = r2_score(y[inlier_mask], y2_pred_ransac[inlier_mask])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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5yMhyQO/8aWZtzrk6/F3M/gh8HX8Hvy4zW52x6cv4er3g68SuyFmXToA8PHOd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\nIQQBynPJl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Os9ItVDlHKI7COoZpNQSsRDJ7F8l7jRQBSLUKkQOw5cXGSu4HC9Z9NfWSU9\n51OLXdJCEeQT20pSznakGopy2B59eLsIkTRzjkz5LNNB1gNkqstz8wd564akEfTo9CJKeYe/88QM\nTz+aR1xLw8YGClCnTkAuh7x6FVHwIZMhTgtUECDDDuLANHEUERcKiPmHsAoFvbHhACEbIW5+DKrf\nh7Ct7TBhiArbiEIGkUrp01PKIlL3hzAfcL/+rt3vmOt2b2Ku272HuWYG2EfCHJ268t/Pz8+fA/4E\nXT3/e+iKeRH43fn5+f8CeAL4+8AvJu/7I+Cfzc/PvwaEwH8H/OFuN1qttoh3MjLfy4R9xI0VqAVa\nbNcCVF+hUh4i5cPqqq7wZjy4sQZWNZnoaQNdqNVgbVkv0+5A2AfPRVh9ndOtJBw6BpUKqlBENBv8\n4JtnWP/+JVSnQ7E0x5Ln0o8F6T20qtwMpbQ4L2bT1JpdLBVjtQKkEHT7Mefeu0quXGbKh34Y88s/\nc4z5E2UuXL6B6KWZqhyEjI8qTeuBSnbyRUwoodqCbgdRT8Q0oNwIFfQhbm3Zk0HapxoT6+MVdIXo\nqc0qe8qHZhfo6X1odBhPDb13kVJQLGbu39+1+xRz3e5NzHW79zDX7N5kcN32mn0jzBcWFs7Pz8//\nBvC7wO+jK+X/cGFh4UeJIP8/gKtoC8s/XVhYGFTIvwLMAt8DHLQo/xdb178TcayIovvwFyECKSyE\n66MCLRxjN4MSNhyYg2wBubYKTlqnsARNrWotG1XII9ptRLOF6PaSSrKCUhll2doGU22A7xJhoSLY\nWK7z4VsfIr0iKdUi7IX05w7j1tuIoI3KZOhGXbojVpVuLMaiD9VdRB8OsKQg46UIo5huR7uZPNfm\n8eNlbiwuUVi5iLNyA6TN7GMW33lX8Ma5DVLEPP7kEf6Tl49CJEEIRCan7T2x0j7yjI+s1hHr6+D7\nxNMzxKk0TPz87GJgUCYHTpIdn0xX1T9bEOl13E/ct79r9znmut2bmOt272GumQFAKPVAfwjU+nrz\nPv1FGBGGvS7K9VAz00DSOBqGyKXrelhOdQNx/TrEIaQc1MwsxH3E1at6KJHvoyozxHOHEN02YvmG\nrq6vr+uUkkKOel/w9T/7ES2Zpp3N0RBpVg8cx6pWgc1qeStf2ia+97L5E8BJWXiORawUB+yQp6dt\nvvTCEb77vXMs/nABJ2gyf8DjyMEif/FBg43yIaqWh2/H/PqvvUDl0BR6cud4agphDGEviau0dUIN\nO8RWhiFydWXsqXi68kAODLIsQbmc5f79Xbs/Mdft3sRct3sPc83uTZLrtudWgAdPJdy3bJ0OKlD5\nnBbeYYiII6g3h2kfImhq0d5sIs6fhR+/jUg7cPwwCAWFMgiJ6nagMoM6cADSDnRbsLwEV67A4hU4\ncQLWXGrVPulKic56g2qcQlWm6MQCexdiey8tLgIIowhL2hR8h3QYcOFGg7V6l5969ACPpbqkVm6Q\naVRpNRo4URcZtDjo9VHXV3E+LCFFl/jgQUAmQnpC9dvNYOIMDQaDwWAw7CVGmN8X7GCbCGNEtzus\n0g7ztcMQ0WjoCZVhjFhZQjouQiniazegMgudAFwfZg/oTWzUkKzDhYuId95BNepgCaIbyyxcXGPR\nLbN48BH6uQrywCxLaz1squR9i3qgbxj2wqpyK4QUSCmwLEmaGNkK6CEgnQZLkj9YQTQ2UJGHP3OA\nQ06P+nqEXFvlxOlZSkVP++/L0zrDHfSQpmCkSXViTvkWzMAgg8FgMBgMt4kR5vc8CjodxMqKbtx0\nU4igpQfVhKFu2hxpPBSNOqLVQqws68bPRhM6PeKMh4hCVBhTVWnsC1fIpQWqH9NdXibK5vCjHqyu\ngOcjmk3Wl9ZZskKqpIkyOVqRAN+nutEdbq8eRITFIt1YfCyiXKDFOEoRK+3Rmy44/J2n5ji7cJ20\nVDxyYpqpgouKQigUENNlyPmQz/P0qRkOpbLYK8talO9ZFXwX0z4NBoPBYDAYRjDC/J5FW1dEo451\n6UP48CLC9YgPH4RMFqtW1ykiSqF8D5XLo9KO9oi3W4hmA86fhU4X4XnQqKGU5FJxhjfevMFUZ4PT\nqkm/UCA4cwGVtpkq+xwVHZST5sp6h6WOTevQDEszx/igIWlnC3S9DL3G+Dyoj0uUSymwpCAMYyxL\nDN3etmXx4hGPny4fQAYZyjkPmk19PpZu6Oq544KKiCsVynOzyIKrK+WAmp5O/OOb9iDle4ignfw8\nqfq93Uo0edqnwWAwGAwGw2SMargn2Cr6QNRriI2qbsRcugEZD9VqI5aWUAclRDFICyVAyRRxNg9u\nGnGjhVhZhaAFVz+CXhdSDoQxzQMHOPdBEyvqIEWfxpVFmJvFFSFyfYONfh5LRjRtj4szD1E/WeZS\nYLMalYgrPlXh0o0FpYzY06SVHc9KrIiAdMpitIk5TYxoBUwVXCg4qE5P6+S0jVgSIEDl8tpuUioD\ntvaUl6f1ubZT2uITNMfEeDw9jRbbW6vfu0hgMRgMBoPBYLgFRpjveyaIPt9DLi1Bq4moVREbVdTc\nASi5kLahESCCJmSzECuIYqSbRsV5lONApwP9MBHvoOpVxNoaYmYOUa1BLAjpEwmJ8/4C8ewUxAqr\n1+V8dpqeleKGW+ZdKqgRQT5I99sQLk5eT9b8uCrlthTk/BSWJXnmdIU33rtB0AnxXZsXHpvRohwY\nCmmBtvpMT+vKuG2hZmfBdQZrBdfR57pahSjUXvJcDhA395Vv9aA36tpK5DoYcW4wGAwGg2G3GGG+\n35nUeCgtaLd1nng2j8o2dYRfPgsohBCIbg/VWoLKDOTyYNmIICAullCHDkOtirhyGVoN6Ieo48dR\nKZdWpHAOTsPlqzTdLD3VgI5F+uQpwg8+JEhFrGULrPRtoukiKz1rYtz2XgvytC2xLYHvpmgEfTzH\nIuunAXjpmUO89Mwh1usdynmXStFFjd7M5DfFdTwzizowpyvarsNY3GEYIur15EQrfY49/7bsKKLZ\nhKCFVGiPuamcGwwGg8Fg2CVGmN+L2Db4GQha2u/82BNESXqKtXgJAOU60O+hpmfA98feHlemkf2e\nTl8pFCHtI+KQc5erdGdm6QqHY50mVtwjX3TpVVfpCIUqFKk7WQKVouv61MMdMrzvgtFM87Qtyfsp\nbFvipG2em6/w4hMH+M67S7x1dhkFPDdfoVLUEzoH/wcmNF5yi0bM5JuJ9TX90PPGzttNU1UGCSyN\nurYIeR7Y1u7SWwwGg8FgMBgSjGLY70yK3XPTxDMzWgiS+KXzee1DTwQ7lgW5aVSppCMTAeIIef1q\nMiBHok6c0JaNXJaPql1+sNqgG/Tp2DFO6SD5xhpWt0b/0HGW2zEyn2E1P0c1lNSy2wcF3S0l1UHU\n9XHmchkee/w4v/OLj7JS1T7vStHFUhH/6IvzfPbxWaJuPxHjiltXpQeNmJOaNNHfTPR6m+ev3SY+\ncnRoZbl5qkqSwJJ2kAqTwGIwGAwGg+GOMMJ83zM5dm9iFJ9tbRPsKp9DhTGEIfaP3oSrV0FF4Dja\nb91q8eMP1/hhJ8eiVaQgq6QFfBQ5dEsHqHVLNB0fyi71WpuWX6LuZllS3sS9vV0GFXJgKMoBaLW4\ncq3KSrU9FN+iXkd02qh+wEyrQYyE1eaEZsudmjG5ZZOmymbBc4fnb/fVbgGug8rnTXa5wWAwGAyG\nO8II83uCSbF7k58bE+yopDpu6bjAq1cTCRqjzp8H1+PCxVWurHdoizTFfgSug9Nt4uckK7FPJl+m\n1ezQ6KexT8yxKAt7VikfrZCnch79La+rUe/6wP9tAf2+buAslYfe+THLyE4DgZKftz1v2+PfTFj2\nHYpqk11uMBgMBoPhzjHC/J4ggmaSDZ710Op0JwTYErGxgag1tODM51C2Th2h04VQgevx9XPr3Li4\nQrMNwSGXqFUn50rCVpu2BeLIDD+khFPUCrkeSoj35ogcqcYq5P1Gm3TOo9doIyXIbJZHTk6PV8vX\n1/QwIblHOzHGXolqk11uMBgMBoPhzjAKYt8TYZ0/j7hyFQB15DDR6dNsF+cD77RC1GtYZ89CuwWu\nj5qZITpxEjX/MFxehDBixfJY+dYH+KsrpIslgl6ftAVibYVeLOhF0F5ax5kr7kmT52hT5+CxI9VY\n9X1DuLjTGQo5h/kTFb78M8f19FKU9n/bKVS7Tr9hQamo4w+ZYBmZ5MsfNoBOfl5jRLXBYDAYDIZP\nDqNC9jvN9lCUA/rnucM6o3zIiKc6DBH1GmxsJAK0CkKxkpuBynEqc0dYWW+w+NYCTXUBVZ6iGwqi\nZoAzV6ZXrek1ei79j8Gy4md00omoBriqiyskDZGmMFvCTvn8o198hHLeZUb2EKsrel9UjLz+kb6p\nWF1FHJ6Fp54hnq7oDWyrbm+tfsvNCZ753D60muzQkGowGAwGg+GBwgjz+4Etnmrabei3UTUtss9U\nI/7qnEUTm6xncW2tTWpllZxbYCPxcbezRS7GJY6dkIiVVfqxIK5M33W1fKtlxWm3EEAXQU24uBaU\nj8zRtdN4oHPIsynEahUAubwES9fh2jXYqGHls1jdLiwvwdQsuO7kDQ+SVMIQsb6hK+7sx6mcZmqo\nwWAwGAwGjRHm+5KRCmrWRR05nFTNFergwUSM7hARKJSe/iltKBZY3mhzduE65aMuqZ7iUkMReT69\ntE/K7SFaLZTv0XCzdGPBOYrk53SCyd2I8tG0lR2XSUmOzuVYs23SxHz64WkqRXfz2Htd3eQJ4LqI\naBWV8bblsk8mEbyDbHI/g8pm999Uzp0aVY2lxmAwGAyGBw7z13/fsb2CGp0+BXOHEI06Qkjk6spY\nBCCAchzk2ioEAaTScPgof/ODS1w5V6cufcKVGlbKxlIuYTMgyJcI8rM4Re3zHvV6322VvKQ6OM0W\nAF0vg8r4iFYwfGxZgmLc57d+/mFOnj7AWr2LaAVMFfTETm038RG9JH/d9WFKoII2SlqoUgnmDoKb\n3nkntn6LELQQcQidrpnKaTAYDAaDYV9ihPl+Y6cKquvpce9jz+tGRhEEEIWsV1vEfpZqEPHmD5e4\nuKKQ0kNkcnQbTWQnQnmb1o+tgnwvcKSiWFtHBDpFxou6XCvMQd4BQEkL37Wxsimyxw6hfI/poA0F\nVw87atRRfmboERdBC3HtGkgb9ZkX4MgRmCmjehF0YyC+uS/btvQkzlYTWoH25u+nqZw3aVQ1GAwG\ng8HwYGGE+b3MiIj/xpsf8cGPP+Sqcmn1FLGCqFTCT2fo1QLyrg8qphcLVMbfc0E+wJFqKMoBRNDG\nKSmef+owKdvm4sUlbEvyyPwslelckrqCvukIdJVd+BldFQdUsbzZrJl2ENkcViaDWL2GbOjlJw0Y\nAv0tguh2ULkcqphMQN13zZUm+9xgMBgMBoPGCPP9xu1E/QFEIWvNkLcubJBKu/SaMbHS4rvWl9Rw\ncfIOzZFNfFyifLBulckgWlo0k8mQz3n81hceRl67RtXRH7niMZs4qXardBqRiHI8DxE0UZ6/Wc1O\nO+MbCUNd/U4Yr35vsQKl9TRObAvqjX1amTYxjQaDwWAwGIww34fsXEEdfV4ETWR1HREEyEAnjtSz\nZTaIUYyL749TiG+lGwuqmSK/8dlTZHybKJPn0889BJ0uYnWVUi4R2aurUJ4G19XHVZ7Sx9VpI9bW\nkUqg8lld9W61khuWDOJWAnarFajXQyEAaSrTBoPBYDAY9jVGmO8pISwmmeNHD7Pz6Y2g2YJOT3ue\n3TQw2nC5UwU1eT4ME7uIQOVylLyIx59z+NvzNegE9PrRXh7UGFsHBU2i7WQ49fyjemrnbgSwbaPy\neUSjrptXPQ9siVxa1pVtMah85xieg4wPI1aW3VW/TWXaYDAYDAbD/sWolD0jxP73/w6+/R398HOf\nJfyVX2X7KY6wzi8gfvQ21Opw5DDxk08RHzzIuDi/PX7+2aM8/bji1dcv8db5VRpB/47XtRNbBwVt\niM1G0tOHC9STyv3nnpzT/vFR3DRqehqRxB+q6emRVBWhk1ikhQwjcNI6MrHd1tGIlq0r32EMloUQ\n+luF2EnsPKPi3zRTGgwGg8FguEcxwnyvWLwK3/4OqeRh/9vfgaefhaPHx5drthEfXkLW6gDEV64i\npqeGto5dMRSfLUSjAUIiqxu88dYyb7y7QT+M9+ywBmwdFCRaAU7eoY8k76fohTG/80U9tbNS9Cas\nQeqbj/K0fjj2LYFC1Bv6eHpd6PdRrptkje/Ezt8qGMuKwWAwGAyGexEjzO9JEvGZdpBRBJbNWq3D\nwtmrpIXH3tfKt5P1bdyci0jb2JYW2DuL8gFy8s3H0BeurTmEISqdQrQlYk0PB4pnZm6j8m0sKwaD\nwWAwGO497m6SjGGTo4fhc5+lD1oYf+6zic98C1kP9dBx4kKeGODIYdTcoZsOy1mptllY3GCl2h55\nrsNKsz8U5dVmF1tKXMfm1jM3b59uErMIkLIFIpMliBSttr4NeG6+cgtRvlsEIBD9vo45LE+hXDdJ\noTGVb4PBYDAYDPcvpqy4Z9jaU/70s/rhjs2fFtHpeZg7fJPmz01eff0Sf/3DqwSdEN+1+dlntdj/\nwcIKAAfsHu01bYvxpvJkwjTVdmM41X4vqUqXZz+lJ3XGlk0B6Icxv/nyKeaPlu58xVt94ZmMzhyH\nkcq3EeUGg8FgMBjub4ww31Ps7Z7yiViQzUP25kutVNu8/u4SQUcP4Qk6Id85cx0pJSlbEkYxb632\nOVgskrIltVAi4I5F+dbEFUsK4lgNK/ApW/KznznBv33tg+F7Urak7OukGGwJA3/7bXm7t/rC5T7O\nHDcYDAaDwWD4eDDCfB8xsKrsxhLSD2OiWIvgINIXstvrsVbv3tG2JyWuOGmLdifEsxRSCvqJQn9u\nvjKs2H/umMds2ITVJsQRSAmICdM4b8W4L9w0cBoMBoPBYHjQMMJ8n/Dq65eGYve5+QqvvHicStHj\nxcdnx6wsn31yjrOLG5y/UgN0xbra6BJGMfEdmssnJa5kSi6/8tnj/PV/fI+opueG5go5ynmXV46W\neOHRWQhDLcoBohCxvIwqTYGb3jKN804wDZwGg8FgMBgeLIzy2QesVNtDUQ7aP/7Co7NUih6vvHic\nFx6dZb3eoZzXiSZvvLdEOe+ggI16FzctqQd3H5EoJSRFeDzH5ti0hx92CRIXiRt2tGWFpKofhrpS\nDohmC7GxoRfMZnW6isFgMBgMBoNh1xhhvg9Yr3fohzEpe3IDaKXoDe0tiT0ZrwAAFT9JREFUX33t\nPCsbbaI4xrYk/SimdxeiXAqIhCRdyKGaTWIUIpdhtpKjlHOZ8m2mfUk30suNMWjabNSh24GpKe04\nabdR0xXjCzcYDAaDwWC4DYww/4QZWFiCjo4dLGSdHaMHV6pt3l+s0g9jFAw95rdCAJYlcNM2QadP\nrMASoIRgpuhiWZJ6yyaWejySlUrTbIdYnYDPHLD48esfgJWic+go3zu/xivDqZ4jeeoKlG1BpDtP\nVe52/OUGg8FgMBgMBiPMP0FGLSyFrEMYTY4eHDSFrtc7rNfbt51TnnFtfusLD1PMOvzxa+fohzE9\nJEGnj2VtVsH7Sv/c74XIyELUGzx8uMTbU2VcQFmCtxeWhjYbjQDXQeXzOkXFsk2KisFgMBgMBsMd\nYIT5PsK25NBHPmBQUd9odOh0I3rh7dtW2r2QkwcLzMgen5kWvP1hlTjj8/lPz/H0QxXWe/BvX/uA\nWrM7jGZ8/HiZqYJDdQPUVgvLNrbGHZoUFYPBYDAYDIbbxQjzT5BK0RuLHnxuvgLoCnml6LFSbfP9\ns8vUgx71Vv+OtxPHcPnKGrMVi5977gifPl3BXl+m6DZgOWB2eorPPFzmrXOrtNwUT50s83dfPoWq\n1ynNdnj0WIl3Vzp0M1memp/dIc7RpKgYDAaDwWAw3A1GSX2CrFTbpG3JTz8+y9OnK3zv/SW+8qfv\nAPDo0SIHpzPcWA/o9e8ucUUBZ69UeaEyBcCUJ5DtBsotQRwiL17iS0eO8JmpGVTGp3x4hkEVPPIz\n/PThI5xu9sG2d5WxbjAYDAaDwWC4fYww/4T4n37/+1y80UAlhvGvf3eRQtYBYGUjYHFp87VRZOIQ\nsS09/bMXRoCe0AmKaIKGtyR8uNxmNZRM2zGgIJ1GdAJYr/7/7d15lJxVmcfx71td3V29pTvp7CFA\nWPIAAgZhQEFUQHaBUWcGGEDF3aMjx5FxBI86LoDiNqOMHkaFQWQ7IxMRRIhDwJXFEOUokCfBbKxZ\nyNbd1VtVvfPHfTupru4kne6kurr79zknJ1XvVm/Vze08dfu5z4X2rUStk2ltaYV8D4WubsjU7FjF\nM1PLtExm4IVFREREZK9RYD4K3v/VxQMWA9rS3kNPb8ghz+UHn94ZAVEETfU11GeqiSI4al4rrz2k\nlS3tYcXPu3/1V7a09/S7RiqKyOUL5DP1FBrTYZJmYwMseZIo2w7NTfDii2FovTdHKo5DUfNUmMC5\n56t4FoshFyq1KPdcREREZOcUmJfZbYuW7XSFzs6e/KCj5H1CiUTY2t5DQyZNHEc8u3Yzz29oo70z\nTNqcMaWenlyBto5eiEJQHkURx8/OhFU6N+aIurooNLeQap4EzZPCxVetJsrliGfMAiKijRuJW1uh\nKj2CVTxjom3bwhcBRhrgi4iIiIxvuyu3IWW0q6C833HAuk1Zogh6cwVWPL+VXJLD0t6Z4yMXHMnJ\nr53FrNYGZkyp5+wF07jg6Ck7LpDtCH83NhITERPDzJnEzVNCrkzfCPdI5fLbg3IgPN5b1xYREREZ\nZzRiXmaXnHEYDy19aUTXqEpBKrXz71RTJmV4z9mHs2FLJ1Xt25hKD9Grr0J9A3FjA9TVQU0NzNkP\ntoVVO+PWqSG9JdsJ6RTx1Kn9UllUl1xERERk31JgXmaPP/PKiK9RlUrR0lRDOlkc6NC5zdtTWYpX\nDZ3WWE2qqwBUhWA82wE11RRaW4kntVCYMQtyvURtbUT5XiBFPGVqSDdJV+2Y/Dnc3PB0FXF9fb9U\nFgX4IiIiIoNTYF5GhTjm0b+MPDCvq01TV1vNRacewpRJme01z4Gd1hiPm5qICgUoQNTTA9mOJABP\nE2cyxINN0EyPNNNJCw+JiIiIDJUC8zJZu66Nr96+lM7ukedYV6UGBreDBuTFI9b5fKi0kqkBopIJ\nnftycSAtPCQiIiIyFIqY9rHO7hz3/HYVv1zy/JAnd+5OXSZNBNzywDKaalIcd+hkTj/hoEFGpItG\nrHM5UlWb0Ii1iIiISGVSYL6PxHHMk76BOx5awea27hFfr6Y6RT4fk4pgW0c37dkck+MuUl1bWftC\nga313bQcvP8g5QiTEet0FXF9g/K9RURERCqUAvN9YP2WTm5btJw/r3x1j8+NooFlEyfVV9PZk6cq\nFVFTnaItmyOTiqlt7yDX1k7PpAxRNkvUtm0X9caV7y0iIiJSyRSY70W9uQIPPL6G+x5dQ29fRZPE\nnGkNXHaGseiJNSxd0T9gr61OkS8UyOVDGfHq6ioaMml6cgUKhZj6TJrO7hy1tWkaMmk6OnNERTH1\n/jMbmdxUy+4zZZTvLSIiIlKpFKXtJc+u3sSti5bzyqZsv+011SkueOM8Tj9uLumqFPPntvD+6x+m\nkCz/GUXQ2lzHxi2dTKpP09RQTUdnL7U1aWprINsVHjfUVZPtytFUX8O0yRm2tPWQa2xkv9Y05580\nL9Qob5qk9BQRERGRMUqB+Qht7ejhrsUreOzpdQP2HXPoVP7xrfNpbc702/6DT53CbYuWAWHBIV+7\nmVseWEZVVYp0VYrmxlouOvUQAO5c/BwAzY21NNRVc+np87H9J+NrNwNgsxvJ5/Lb88iVniIiIiIy\nNikwH6ZCIeaRP73I3b9aSWd3rt++1kkZLjl9PgsOnbrT8y8547Dtj597cStdPXmyXd3UZ9Kcdux+\n2P6TgbBg0BLfAMDrj5ixfXvf3wCkq/fW2xIRERGRUaLAfBjWvNLGjx5cxqqX2/ptr0pFnHn8/px3\n4oHU1gwtpWTDlk6W+AaaG2upz4QA+/jDZ2zff+4bDtz+fFpjNeRyGhkXERERGYcUmO+BbFeOhb9Z\nyeKlLwyonDJ/bguXnWnMmdow7OtX72SlzWktGaJt24g2bgFCqcOBZRFFREREZCxTYD4EcRzzh2Xr\nueOhFWxt7+m3r7GumgtPPYQTj5xJFA09UN6wpRMIK3YWp6scZ9MGruKZy2+vPw6UrNopIiIiIuOB\nIrvdWLcpy48XOU+v3jxg35sXzOadbz6Yxrrd5XgXoKsnpKFkqnngiRdYsfwVqomZf0gr5y6Yy/Hz\nmiGdToLyGI2Gi4iIiEwsCsx3ojeX5/7H1vLzR9eQy/evST53eiPvOtM4eE7zEK5UIPXSS6TWroVs\nlq2FFF1LX+CwDS9T191N+i8RXavnMWvObOLJLcS5GcT1jf1TVdJVxPX1WrVTREREZBxTYD6Ip1dt\n4tZFzvrNnf2219ZU8faTD+K0Y+dQlRo8H3yArh6i9esgm4U4T9Xq55m87iWijk5qO7eR7ukmdWAz\nVEdE+V7ililElKaqaNVOERERkfFOgXmRLe3d3PnQCp54dv2AfcfZNC5+63wmN9WO6DWaGqrZb2oj\nL3aEoH9GSz31tUNpBq3aKSIiIjKeKdIj1CRfvPQFFv56JZ09+X77prVkuPQM46iDWod38UwN8fQZ\nRF3dkM0SHzAXO/AA5vx1DVXtbdRlaqCpGaZMIZ7cAplqpaqIiIiITEDjIjA3s2OAG4EjgBXAh939\n8aGcu/Klbfz3/ctYs65/TfJ0VcTZJxzAuW84gJrqkQTJKQqzZ1OYMnX75E+IyBy1AHJ5cn1pKek0\npFNASqkqIiIiIhPQmA/MzSwD3At8CfgB8C7gZ2Z2kLt37Orc7939FL/4/WpKSpJz+AGTufSM+cxq\nHX5N8v5SkMn039RYs5euLSIiIiLjwZgPzIFTgLy735g8v9nMPgGcA/zPrk68//er+z2f1FDDRace\nwglHzNijmuQiIiIiIiM1HgLzw4BnSrZ5sn1IIuCU183hHW86iPrM7mqSi4iIiIjsfeMhMG8AsiXb\nskD9UE4+cGYTl51pzJs1aa/fmIiIiIjIUI2HwLwDKFnDnnqgbZBj+/nQ24/ixCOm75Obkn0jlYr6\n/S2VT202Nqndxia129ijNhub9lV7jYfA/FngYyXbDLhtdye+7Y0HqReMUS0te2tirpSL2mxsUruN\nTWq3sUdtJjA+AvPFQK2ZfYxQMvEyYDrw4KjelYiIiIjIHhjiuvKVy917gLOBi4FXgY8C57t756je\nmIiIiIjIHojiuLSKt4iIiIiIlNuYHzEXERERERkPFJiLiIiIiFQABeYiIiIiIhVAgbmIiIiISAVQ\nYC4iIiIiUgHGQx3zPWZmxxBqnh8BrAA+7O6Pj+5dCYCZXQlcC3QXbT4LeAa4CTgF2Ap8wd1vKjrv\nOuB9hH/TPwL+2d0L5brvicjMjgcWuvuc5PlkhtlGZnYxcA1hDYKHgfe5+/oyvp0JY5B2Ow54HMgW\nHXaNu3/FzCJCf1S7jRIzeyPwDcLCeRuB6939v9TfKtcu2kx9rYKZ2T8AXwD2A9YAn3H3e8rd1ybc\niLmZZYB7gR8CzcC3gZ+ZmZbcqgwLgE+7e1PRn98B3we2Ef5x/x1wvZmdAJAsLnUOcBRwOHAS8MlR\nufsJwMwiM3svsAioLto1rDYys6OB7wEXAlOBV4Cby/JmJpBdtNsxwM9L+txXkn0fRe02apKA4GfA\nt9y9Bfh74DozOw31t4q0mzZTX6tQZjafEHxf7u5NwBXAXWbWSpn72oQLzAnfePLufqO75939ZmAd\n4YOV0XcM8FTxBjNrBC4APu/uPe7+B+B24F3JIZcRfgiuc/d1wHXAe8p3yxPO1cDHgS8DEYy4jS4B\nfuruf3D3LuBfgbPMbFq53tAEMaDdEgP6XBG12+jaH7jX3e8EcPc/EkbdTkT9rVLtqs0WoL5Wkdx9\nOTDd3R8zszQwkxCM91DmvjYRA/PDCGkRxTzZLqPIzOoJv/q7wsxeNrNnzOxy4FCg191XFx2+nB1t\nZvRv0+XJNtk3fujuC4AlRdtG0kb9+qS7bwI2oTbc2wZrNwiB+UlmttLM1pjZ18ysJtmndhtF7v6U\nu7+773kyGnsy4YuV+lsF2kWbPYX6WkVz96yZzQO6CCkpnwEOocx9bSIG5g30z+8ieV4/Cvci/U0H\nfgN8F5gLfBD4JnAu0FlybBaoSx6XtmkWSBX9wJO9yN1fGWRzA8Nro1pC31Of3Md20m4A6wm/en8N\n8BbCbxW/kOxTu1UIM2smpGEuIYzAqr9VuJI2uxfYgPpapVsL1AJvJcQfb6PMfW0iTv7sYMcH2qce\naBuFe5EiyTfSU4o2/dbMbgXeBGRKDq8H2pPHxZ2kb1/O3Xv20a3KQFmG10bdZjbYD6ric2UfcvcL\nip6uMrNrCZPQrkLtVhGSUbz7CMUKLiQEdupvFay0zdw9JqRE9FFfq0Dunk8ePmxmdwPHUea+NhFH\nzJ9l4K8RSn8VIaPAzI41s6tKNtcRvsHWmNnc4sPZ0WbP0j8VSe1ZfisYfhv165NmNhWYkmyXfcjM\nJpvZN5M5An3q2DFCpHYbZWb2OuAx4Bfu/rfu3o36W0UbrM3MrEV9rXKZ2Tlm9suSzbXAXylzX5uI\nI+aLgdpkJu2NhMT96cCDo3pXAmGixWfNbDmwkDB6fiFhxLyFMLP9A8CRwMXA2cl5Pwb+xcwWAznC\n6MOtZb73Cc3d28zsHobXRncAvzKzm4AnCZNn7nf3zeV8DxPUVuA8oGBmnwYOJEwSvTHZr3YbRWY2\nA3gA+Jq7f61vu/pb5dpZmxH+f1Nfq1xPAseZ2aWEyZ1nEfrT8YQJvWXraxNuxDxJbzib8MG+SihR\ndL67l+YQSZm5+wpCKaLPEX6IfQd4t7v/CfgAocTbC8BPgCuT2dEQctLvAZ4AnibkqX+zvHc/YcVF\nj4fVRu7+VHLuTYQKSTOBy8tx8xNYDJDU2j0XOJpQb/nXwF3u/u3kOLXb6Hofocza58ysrejPl1B/\nq1SDthkhl1x9rUIlFVXOI5RJ3Az8G3BBUq2lrH0tiuN4d8eIiIiIiMg+NuFGzEVEREREKpECcxER\nERGRCqDAXERERESkAigwFxERERGpAArMRUREREQqgAJzEREREZEKoMBcRERERKQCKDAXERkDzKxg\nZmeUbDvKzDaZ2d1mVjWEa6w2sw8ljxvNbNiLlJjZw2Z27RCPHdFriYhMFArMRUTGIDM7CHgQeBS4\n0N3zQzgtZsdqrZ8EPjiCW3g78OUhHjvS1xIRmRDSo30DIiKyZ8xsNvB/wDPAO9w9N4zLRCO5B3ff\nUq7XEhGZKKI4jnd/lIiIjCozKwBnAUuAXwNbgDPcPVt0TBPwDeA8oBV4Efi6u/9nsn8VcB3QDdyc\nnBa7e5WZPQL8AjgZOBVYBVwKnA18AigA17r7fyTXegR41N2vSp5fDlwNzAaeBq5y94fM7D3ATSWv\nVQ1cC1wG1AK/BT7u7qv21uclIjIWKZVFRGTsaALuBw4jpK9kS/Z/C1gAnAsYcAvw72Y2p+S4uwgB\n/FJgVtH2zwJ3AkcDm4GHgMOBk4AbgK+bWd/x29NizOwc4HrgU8BRwI+A+8zsyOR6pa91DfAWQjrM\n64GXgYfNLLOnH4iIyHiiwFxEZOz4DlAHbAK+OMj+3wDvd/elyejzNUAVIZDfzt27gA6g193XF+36\npbv/2N2fA24HmoGPuPty4OvJteYP8rqfBr7q7gvdfaW73wAsBK4ofS0zqwP+Kbnuo+7uwIeTa79z\nOB+KiMh4oRxzEZGxYwtwGnA6cJuZLXT3+/p2uvstZna+mb2XEEAfk+zabcUWwuj3c0XPs8BGd29P\nrt1pZhBST0odAfyNmX2+aFsN8Nggxx6cXOMRMyvOpcwweNAvIjJhKDAXERk7rnT3jcAdZnYR8H0z\ne427bwIws1sIKSK3EPK6HwfW7MH1e0ueF4Z4XhVwJSFHvU9EyGUv1ff/zlsII//Fx+/JhFIRkXFH\ngbmIyNhRXH3lI4RJlt8DLjSzVsJkypPd/XcAZnZEcuxgVVH25sz/Z4ED3X1l3wYzuwZ4hZB+U/xa\nzxHexwx3X5IcmwbuAL4LPLwX70tEZExRYC4iMga5+0tmdiVh1Hwh8L9AO/BOM3sROIAwGTTHjvST\n4gC9HZhpZvOSfPSIPStrWHzs9cDtZuaEwPocwkTQc5P9bcWvZWbfBW4ws15C9ZergVOAj+3B64uI\njDua/CkiMka5+w8J9cxvIJRHvJQQDC8jVEK5mlCK8NjklOKR658QUlf+bGYz6L/4EIM8L7V9n7v/\nFLiCEIw/TZjMeZm7L0oOubvotaYnxy0kVG/5IzCPUPpx3R68fRGRcUd1zEVEREREKoBGzEVERERE\nKoACcxERERGRCqDAXERERESkAigwFxERERGpAArMRUREREQqgAJzEREREZEKoMBcRERERKQCKDAX\nEREREakACsxFRERERCrA/wONQLZ81nbcGQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1075ac790>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "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": [
    "## Top 10 günstige Wohnungen finden"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "mietwohnungen[u'Differenz zur Schätzung'] = mietwohnungen[u'Kaltmiete'] - mietwohnungen[u'Kaltmiete geschätzt (mit Lage)']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "topmietwohnungen = mietwohnungen.sort(u'Differenz zur Schätzung')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3 Raum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Titel</th>\n",
       "      <th>Wohnfläche</th>\n",
       "      <th>Kaltmiete</th>\n",
       "      <th>Differenz zur Schätzung</th>\n",
       "      <th>Stadtteil</th>\n",
       "      <th>Zimmer</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>83381408</th>\n",
       "      <td>Schöne helle 3 Zimmerwohnung</td>\n",
       "      <td>73</td>\n",
       "      <td>495</td>\n",
       "      <td>-411</td>\n",
       "      <td>Striesen-West</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83308666</th>\n",
       "      <td>Studentenwohnung/Wohnung für Azubi´s - Bei Neu...</td>\n",
       "      <td>64</td>\n",
       "      <td>200</td>\n",
       "      <td>-342</td>\n",
       "      <td>Strehlen</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80894821</th>\n",
       "      <td>1 WG-Zi. in 3 Zi.- Männer-WG Dresden Pauschalm...</td>\n",
       "      <td>76</td>\n",
       "      <td>200</td>\n",
       "      <td>-317</td>\n",
       "      <td>Mickten</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83377098</th>\n",
       "      <td>3 Zimmerwohnung, Bad und Küche frisch saniert</td>\n",
       "      <td>71</td>\n",
       "      <td>320</td>\n",
       "      <td>-292</td>\n",
       "      <td>Innere Neustadt</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83228545</th>\n",
       "      <td>Bezugsfertige Wohnung zum 01.09.2015!</td>\n",
       "      <td>77</td>\n",
       "      <td>371</td>\n",
       "      <td>-261</td>\n",
       "      <td>Striesen-West</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80318618</th>\n",
       "      <td>bezugsfertig- ca. 66 m² in Dresden- Reick, WBS...</td>\n",
       "      <td>66</td>\n",
       "      <td>306</td>\n",
       "      <td>-250</td>\n",
       "      <td>Strehlen</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83353182</th>\n",
       "      <td>Wohnen am Goldenen Reiterin Elbnähe, 3-Zimmerw...</td>\n",
       "      <td>63</td>\n",
       "      <td>303</td>\n",
       "      <td>-250</td>\n",
       "      <td>Innere Neustadt</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>79097638</th>\n",
       "      <td>GAGFAH GROUP - ca. 62 m² in Dresden-Strehlen m...</td>\n",
       "      <td>61</td>\n",
       "      <td>272</td>\n",
       "      <td>-248</td>\n",
       "      <td>Strehlen</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>79936841</th>\n",
       "      <td>GAGFAH GROUP - ca. 62 m² in Dresden-Strehlen</td>\n",
       "      <td>61</td>\n",
       "      <td>278</td>\n",
       "      <td>-242</td>\n",
       "      <td>Strehlen</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82183388</th>\n",
       "      <td>GAGFAH GROUP - ca. 64 m² in Dresden-Strehlen m...</td>\n",
       "      <td>64</td>\n",
       "      <td>302</td>\n",
       "      <td>-240</td>\n",
       "      <td>Strehlen</td>\n",
       "      <td>3</td>\n",
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       "  </tbody>\n",
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       "</div>"
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       "                                                      Titel  Wohnfläche  \\\n",
       "ID                                                                        \n",
       "83381408                       Schöne helle 3 Zimmerwohnung          73   \n",
       "83308666  Studentenwohnung/Wohnung für Azubi´s - Bei Neu...          64   \n",
       "80894821  1 WG-Zi. in 3 Zi.- Männer-WG Dresden Pauschalm...          76   \n",
       "83377098      3 Zimmerwohnung, Bad und Küche frisch saniert          71   \n",
       "83228545              Bezugsfertige Wohnung zum 01.09.2015!          77   \n",
       "80318618  bezugsfertig- ca. 66 m² in Dresden- Reick, WBS...          66   \n",
       "83353182  Wohnen am Goldenen Reiterin Elbnähe, 3-Zimmerw...          63   \n",
       "79097638  GAGFAH GROUP - ca. 62 m² in Dresden-Strehlen m...          61   \n",
       "79936841       GAGFAH GROUP - ca. 62 m² in Dresden-Strehlen          61   \n",
       "82183388  GAGFAH GROUP - ca. 64 m² in Dresden-Strehlen m...          64   \n",
       "\n",
       "          Kaltmiete  Differenz zur Schätzung        Stadtteil  Zimmer  \n",
       "ID                                                                     \n",
       "83381408        495                     -411    Striesen-West       3  \n",
       "83308666        200                     -342         Strehlen       3  \n",
       "80894821        200                     -317          Mickten       3  \n",
       "83377098        320                     -292  Innere Neustadt       3  \n",
       "83228545        371                     -261    Striesen-West       3  \n",
       "80318618        306                     -250         Strehlen       3  \n",
       "83353182        303                     -250  Innere Neustadt       3  \n",
       "79097638        272                     -248         Strehlen       3  \n",
       "79936841        278                     -242         Strehlen       3  \n",
       "82183388        302                     -240         Strehlen       3  "
      ]
     },
     "execution_count": 97,
     "metadata": {},
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    "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": 98,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Titel</th>\n",
       "      <th>Wohnfläche</th>\n",
       "      <th>Kaltmiete</th>\n",
       "      <th>Differenz zur Schätzung</th>\n",
       "      <th>Stadtteil</th>\n",
       "      <th>Zimmer</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>83450827</th>\n",
       "      <td>4-Zimmer-Penthouse Provisionsfrei</td>\n",
       "      <td>200</td>\n",
       "      <td>800</td>\n",
       "      <td>-936</td>\n",
       "      <td>Innere Altstadt</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80967575</th>\n",
       "      <td>3 Ebenen in schöner Altbauvilla suchen Mieter/in</td>\n",
       "      <td>226</td>\n",
       "      <td>1250</td>\n",
       "      <td>-456</td>\n",
       "      <td>Bühlau/Weißer Hirsch</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77009661</th>\n",
       "      <td>LOFTWOHNUNG !!!! Raumaufteilung nach Wunsch !!!</td>\n",
       "      <td>230</td>\n",
       "      <td>1245</td>\n",
       "      <td>-394</td>\n",
       "      <td>Reick</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83455657</th>\n",
       "      <td>Familienfreundliche 4-Zimmerwohnung mit Terras...</td>\n",
       "      <td>96</td>\n",
       "      <td>725</td>\n",
       "      <td>-332</td>\n",
       "      <td>Striesen-West</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83187702</th>\n",
       "      <td>bezugsfertiges Angebot für Srudenten/Azubis- c...</td>\n",
       "      <td>77</td>\n",
       "      <td>300</td>\n",
       "      <td>-320</td>\n",
       "      <td>Strehlen</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83240864</th>\n",
       "      <td>Interessante Etagenwohnung mit moderner EBK in...</td>\n",
       "      <td>151</td>\n",
       "      <td>1060</td>\n",
       "      <td>-317</td>\n",
       "      <td>Innere Altstadt</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81890511</th>\n",
       "      <td>Super Angebot für Studenten und Lehrlinge!</td>\n",
       "      <td>77</td>\n",
       "      <td>310</td>\n",
       "      <td>-310</td>\n",
       "      <td>Strehlen</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>83476288</th>\n",
       "      <td>GAGFAH GROUP - ca. 77 m² in Dresden-Strehlen m...</td>\n",
       "      <td>77</td>\n",
       "      <td>372</td>\n",
       "      <td>-248</td>\n",
       "      <td>Strehlen</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>83458140</th>\n",
       "      <td>GAGFAH GROUP - ca. 77 m² in Dresden-Strehlen m...</td>\n",
       "      <td>77</td>\n",
       "      <td>372</td>\n",
       "      <td>-248</td>\n",
       "      <td>Strehlen</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83328663</th>\n",
       "      <td>Altstadt genießen ! Großzügige 4-Zimmer-Wohnu...</td>\n",
       "      <td>151</td>\n",
       "      <td>1060</td>\n",
       "      <td>-202</td>\n",
       "      <td>Innere Altstadt</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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       "                                                      Titel  Wohnfläche  \\\n",
       "ID                                                                        \n",
       "83450827                  4-Zimmer-Penthouse Provisionsfrei         200   \n",
       "80967575   3 Ebenen in schöner Altbauvilla suchen Mieter/in         226   \n",
       "77009661    LOFTWOHNUNG !!!! Raumaufteilung nach Wunsch !!!         230   \n",
       "83455657  Familienfreundliche 4-Zimmerwohnung mit Terras...          96   \n",
       "83187702  bezugsfertiges Angebot für Srudenten/Azubis- c...          77   \n",
       "83240864  Interessante Etagenwohnung mit moderner EBK in...         151   \n",
       "81890511         Super Angebot für Studenten und Lehrlinge!          77   \n",
       "83476288  GAGFAH GROUP - ca. 77 m² in Dresden-Strehlen m...          77   \n",
       "83458140  GAGFAH GROUP - ca. 77 m² in Dresden-Strehlen m...          77   \n",
       "83328663   Altstadt genießen ! Großzügige 4-Zimmer-Wohnu...         151   \n",
       "\n",
       "          Kaltmiete  Differenz zur Schätzung             Stadtteil  Zimmer  \n",
       "ID                                                                          \n",
       "83450827        800                     -936       Innere Altstadt       4  \n",
       "80967575       1250                     -456  Bühlau/Weißer Hirsch       4  \n",
       "77009661       1245                     -394                 Reick       4  \n",
       "83455657        725                     -332         Striesen-West       4  \n",
       "83187702        300                     -320              Strehlen       4  \n",
       "83240864       1060                     -317       Innere Altstadt       4  \n",
       "81890511        310                     -310              Strehlen       4  \n",
       "83476288        372                     -248              Strehlen       4  \n",
       "83458140        372                     -248              Strehlen       4  \n",
       "83328663       1060                     -202       Innere Altstadt       4  "
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "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": 99,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Titel</th>\n",
       "      <th>Wohnfläche</th>\n",
       "      <th>Kaltmiete</th>\n",
       "      <th>Differenz zur Schätzung</th>\n",
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       "      <th>83240576</th>\n",
       "      <td>HAUSFLAIR! Individuelle, großzügige Wohnung mi...</td>\n",
       "      <td>160</td>\n",
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       "      <td>Weixdorf</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>79267832</th>\n",
       "      <td>Wohnen und Büro in Einem</td>\n",
       "      <td>154</td>\n",
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       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>82655415</th>\n",
       "      <td>www.r-o.de +++ Erstbezug - Exklusiver Wohnkomf...</td>\n",
       "      <td>138</td>\n",
       "      <td>1109</td>\n",
       "      <td>-238</td>\n",
       "      <td>Striesen-West</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>83467178</th>\n",
       "      <td>Wohnen in denkmalgeschützter 3 Familien Villa ...</td>\n",
       "      <td>220</td>\n",
       "      <td>1430</td>\n",
       "      <td>-215</td>\n",
       "      <td>Bühlau/Weißer Hirsch</td>\n",
       "      <td>5</td>\n",
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       "      <th>83458111</th>\n",
       "      <td>Auszubildende und Studenten willkommen, 100 € ...</td>\n",
       "      <td>95</td>\n",
       "      <td>393</td>\n",
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       "      <td>Leuben</td>\n",
       "      <td>5</td>\n",
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       "      <th>82580863</th>\n",
       "      <td>attraktive 5 Raumwohnung in Dresden Langebrück</td>\n",
       "      <td>149</td>\n",
       "      <td>953</td>\n",
       "      <td>-160</td>\n",
       "      <td>Seevorstadt-Ost</td>\n",
       "      <td>5</td>\n",
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       "      <th>78209137</th>\n",
       "      <td>Endlich wieder ne 5-R-Whg.! 3 Balkone, gute Au...</td>\n",
       "      <td>153</td>\n",
       "      <td>980</td>\n",
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       "      <td>Seidnitz/Dobritz</td>\n",
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       "    <tr>\n",
       "      <th>82698033</th>\n",
       "      <td>Traumhafte 5-Zimmer-Maisonette-Wohnung mit eig...</td>\n",
       "      <td>150</td>\n",
       "      <td>975</td>\n",
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       "      <td>Leubnitz-Neuostra</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>77822044</th>\n",
       "      <td>Provisionsfrei! 140m², Küche, Luxusbäder</td>\n",
       "      <td>144</td>\n",
       "      <td>950</td>\n",
       "      <td>-30</td>\n",
       "      <td>Pieschen-Nord/Trachenberge</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82752578</th>\n",
       "      <td>Große Etagenwohnung in Langebrück! Erstbezug n...</td>\n",
       "      <td>152</td>\n",
       "      <td>999</td>\n",
       "      <td>-22</td>\n",
       "      <td>Langebrück/Schönborn</td>\n",
       "      <td>5</td>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                      Titel  Wohnfläche  \\\n",
       "ID                                                                        \n",
       "83240576  HAUSFLAIR! Individuelle, großzügige Wohnung mi...         160   \n",
       "79267832                           Wohnen und Büro in Einem         154   \n",
       "82655415  www.r-o.de +++ Erstbezug - Exklusiver Wohnkomf...         138   \n",
       "83467178  Wohnen in denkmalgeschützter 3 Familien Villa ...         220   \n",
       "83458111  Auszubildende und Studenten willkommen, 100 € ...          95   \n",
       "82580863     attraktive 5 Raumwohnung in Dresden Langebrück         149   \n",
       "78209137  Endlich wieder ne 5-R-Whg.! 3 Balkone, gute Au...         153   \n",
       "82698033  Traumhafte 5-Zimmer-Maisonette-Wohnung mit eig...         150   \n",
       "77822044           Provisionsfrei! 140m², Küche, Luxusbäder         144   \n",
       "82752578  Große Etagenwohnung in Langebrück! Erstbezug n...         152   \n",
       "\n",
       "          Kaltmiete  Differenz zur Schätzung                   Stadtteil  \\\n",
       "ID                                                                         \n",
       "83240576        750                     -375                    Weixdorf   \n",
       "79267832        885                     -360                Striesen-Süd   \n",
       "82655415       1109                     -238               Striesen-West   \n",
       "83467178       1430                     -215        Bühlau/Weißer Hirsch   \n",
       "83458111        393                     -197                      Leuben   \n",
       "82580863        953                     -160             Seevorstadt-Ost   \n",
       "78209137        980                      -37            Seidnitz/Dobritz   \n",
       "82698033        975                      -36           Leubnitz-Neuostra   \n",
       "77822044        950                      -30  Pieschen-Nord/Trachenberge   \n",
       "82752578        999                      -22        Langebrück/Schönborn   \n",
       "\n",
       "          Zimmer  \n",
       "ID                \n",
       "83240576       5  \n",
       "79267832       5  \n",
       "82655415       5  \n",
       "83467178       5  \n",
       "83458111       5  \n",
       "82580863       5  \n",
       "78209137       5  \n",
       "82698033       5  \n",
       "77822044       5  \n",
       "82752578       5  "
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "topmietwohnungen[topmietwohnungen['Zimmer']==5][['Titel', u'Wohnfläche', 'Kaltmiete', u'Differenz zur Schätzung', 'Stadtteil', 'Zimmer']].head(10)"
   ]
  },
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