{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/andi/.local/share/virtualenvs/ImmoSpider-M0SYrQN4/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88\n",
      "  return f(*args, **kwds)\n",
      "/Users/andi/.local/share/virtualenvs/ImmoSpider-M0SYrQN4/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88\n",
      "  return f(*args, **kwds)\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31932"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('apartments_train.csv')\n",
    "len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 31932 entries, 0 to 31931\n",
      "Data columns (total 24 columns):\n",
      "address         26863 non-null object\n",
      "area            0 non-null float64\n",
      "balcony         31932 non-null bool\n",
      "cellar          0 non-null float64\n",
      "city            31932 non-null object\n",
      "contact_name    25134 non-null object\n",
      "district        31932 non-null object\n",
      "extra_costs     31932 non-null float64\n",
      "garden          31932 non-null bool\n",
      "immo_id         31932 non-null int64\n",
      "kitchen         31932 non-null bool\n",
      "lat             26740 non-null float64\n",
      "lng             26740 non-null float64\n",
      "media_count     31932 non-null int64\n",
      "private         31932 non-null bool\n",
      "rent            31932 non-null float64\n",
      "rooms           31932 non-null float64\n",
      "sqm             31932 non-null float64\n",
      "time_dest       0 non-null float64\n",
      "time_dest2      0 non-null float64\n",
      "time_dest3      0 non-null float64\n",
      "title           31932 non-null object\n",
      "url             31932 non-null object\n",
      "zip_code        31932 non-null int64\n",
      "dtypes: bool(4), float64(11), int64(3), object(6)\n",
      "memory usage: 5.0+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\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>address</th>\n",
       "      <th>area</th>\n",
       "      <th>balcony</th>\n",
       "      <th>cellar</th>\n",
       "      <th>city</th>\n",
       "      <th>contact_name</th>\n",
       "      <th>district</th>\n",
       "      <th>extra_costs</th>\n",
       "      <th>garden</th>\n",
       "      <th>immo_id</th>\n",
       "      <th>...</th>\n",
       "      <th>private</th>\n",
       "      <th>rent</th>\n",
       "      <th>rooms</th>\n",
       "      <th>sqm</th>\n",
       "      <th>time_dest</th>\n",
       "      <th>time_dest2</th>\n",
       "      <th>time_dest3</th>\n",
       "      <th>title</th>\n",
       "      <th>url</th>\n",
       "      <th>zip_code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Holteistraße 17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Felix Henne</td>\n",
       "      <td>Friedrichshain (Friedrichshain)</td>\n",
       "      <td>360.0</td>\n",
       "      <td>False</td>\n",
       "      <td>104509324</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>1095.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>82.52</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wohnen am Stadtpark</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/104509324</td>\n",
       "      <td>10245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Kremmener Straße 11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Ihr Makler in Berlin!</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>282.0</td>\n",
       "      <td>False</td>\n",
       "      <td>102537923</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>1824.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>102.48</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Außergewöhnliches Industrieloft mit 2 edlen Bä...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/102537923</td>\n",
       "      <td>10435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Rudolf-Schwarz-Str. 26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Prenzlauer Berg (Prenzlauer Berg)</td>\n",
       "      <td>137.0</td>\n",
       "      <td>False</td>\n",
       "      <td>106461482</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>655.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>54.56</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gemütliche 2 Zimmer Wohnung in Prenzlauer Berg...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106461482</td>\n",
       "      <td>10407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Michael Latteck</td>\n",
       "      <td>Wilmersdorf (Wilmersdorf)</td>\n",
       "      <td>122.0</td>\n",
       "      <td>False</td>\n",
       "      <td>106325874</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>899.85</td>\n",
       "      <td>2.0</td>\n",
       "      <td>59.99</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>attraktive Pärchen-Wohnung am Güntzel-Kiez! Pa...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106325874</td>\n",
       "      <td>10717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bredowstr. 5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Vermietungsteam Stadthaus Verwaltungsgesellschaft</td>\n",
       "      <td>Tiergarten (Tiergarten)</td>\n",
       "      <td>97.0</td>\n",
       "      <td>False</td>\n",
       "      <td>106316967</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>482.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.59</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Moabit! - Westfälisches Viertel! - 1 Zimmer - ...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106316967</td>\n",
       "      <td>10551</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  address  area  balcony  cellar    city  \\\n",
       "0         Holteistraße 17   NaN     True     NaN  Berlin   \n",
       "1     Kremmener Straße 11   NaN     True     NaN  Berlin   \n",
       "2  Rudolf-Schwarz-Str. 26   NaN    False     NaN  Berlin   \n",
       "3                     NaN   NaN     True     NaN  Berlin   \n",
       "4            Bredowstr. 5   NaN    False     NaN  Berlin   \n",
       "\n",
       "                                        contact_name  \\\n",
       "0                                        Felix Henne   \n",
       "1                              Ihr Makler in Berlin!   \n",
       "2                                                NaN   \n",
       "3                                    Michael Latteck   \n",
       "4  Vermietungsteam Stadthaus Verwaltungsgesellschaft   \n",
       "\n",
       "                            district  extra_costs  garden    immo_id  \\\n",
       "0    Friedrichshain (Friedrichshain)        360.0   False  104509324   \n",
       "1                      Mitte (Mitte)        282.0   False  102537923   \n",
       "2  Prenzlauer Berg (Prenzlauer Berg)        137.0   False  106461482   \n",
       "3          Wilmersdorf (Wilmersdorf)        122.0   False  106325874   \n",
       "4            Tiergarten (Tiergarten)         97.0   False  106316967   \n",
       "\n",
       "     ...     private     rent  rooms     sqm  time_dest  time_dest2  \\\n",
       "0    ...       False  1095.00    3.0   82.52        NaN         NaN   \n",
       "1    ...       False  1824.00    3.0  102.48        NaN         NaN   \n",
       "2    ...       False   655.00    2.0   54.56        NaN         NaN   \n",
       "3    ...       False   899.85    2.0   59.99        NaN         NaN   \n",
       "4    ...       False   482.00    1.0   37.59        NaN         NaN   \n",
       "\n",
       "   time_dest3                                              title  \\\n",
       "0         NaN                                Wohnen am Stadtpark   \n",
       "1         NaN  Außergewöhnliches Industrieloft mit 2 edlen Bä...   \n",
       "2         NaN  Gemütliche 2 Zimmer Wohnung in Prenzlauer Berg...   \n",
       "3         NaN  attraktive Pärchen-Wohnung am Güntzel-Kiez! Pa...   \n",
       "4         NaN  Moabit! - Westfälisches Viertel! - 1 Zimmer - ...   \n",
       "\n",
       "                                                 url  zip_code  \n",
       "0  https://www.immobilienscout24.de/expose/104509324     10245  \n",
       "1  https://www.immobilienscout24.de/expose/102537923     10435  \n",
       "2  https://www.immobilienscout24.de/expose/106461482     10407  \n",
       "3  https://www.immobilienscout24.de/expose/106325874     10717  \n",
       "4  https://www.immobilienscout24.de/expose/106316967     10551  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\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>area</th>\n",
       "      <th>cellar</th>\n",
       "      <th>extra_costs</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>media_count</th>\n",
       "      <th>rent</th>\n",
       "      <th>rooms</th>\n",
       "      <th>sqm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>31932.000000</td>\n",
       "      <td>26740.000000</td>\n",
       "      <td>26740.000000</td>\n",
       "      <td>31932.000000</td>\n",
       "      <td>31932.000000</td>\n",
       "      <td>31932.000000</td>\n",
       "      <td>31932.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>221.975585</td>\n",
       "      <td>52.508081</td>\n",
       "      <td>13.396624</td>\n",
       "      <td>10.970468</td>\n",
       "      <td>979.486026</td>\n",
       "      <td>2.490923</td>\n",
       "      <td>78.363778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1396.253013</td>\n",
       "      <td>0.045758</td>\n",
       "      <td>0.098108</td>\n",
       "      <td>6.313705</td>\n",
       "      <td>6761.499857</td>\n",
       "      <td>1.220792</td>\n",
       "      <td>44.324234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>52.373770</td>\n",
       "      <td>13.116530</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>52.479450</td>\n",
       "      <td>13.330520</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>520.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>53.760000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>180.000000</td>\n",
       "      <td>52.510890</td>\n",
       "      <td>13.395005</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>719.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>68.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.000000</td>\n",
       "      <td>52.537560</td>\n",
       "      <td>13.452780</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>1098.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>92.142500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>208597.090000</td>\n",
       "      <td>52.656390</td>\n",
       "      <td>13.726850</td>\n",
       "      <td>77.000000</td>\n",
       "      <td>1000000.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>2489.660000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       area  cellar    extra_costs           lat           lng   media_count  \\\n",
       "count   0.0     0.0   31932.000000  26740.000000  26740.000000  31932.000000   \n",
       "mean    NaN     NaN     221.975585     52.508081     13.396624     10.970468   \n",
       "std     NaN     NaN    1396.253013      0.045758      0.098108      6.313705   \n",
       "min     NaN     NaN       0.000000     52.373770     13.116530      0.000000   \n",
       "25%     NaN     NaN     130.000000     52.479450     13.330520      7.000000   \n",
       "50%     NaN     NaN     180.000000     52.510890     13.395005     10.000000   \n",
       "75%     NaN     NaN     250.000000     52.537560     13.452780     14.000000   \n",
       "max     NaN     NaN  208597.090000     52.656390     13.726850     77.000000   \n",
       "\n",
       "                 rent         rooms           sqm  \n",
       "count    31932.000000  31932.000000  31932.000000  \n",
       "mean       979.486026      2.490923     78.363778  \n",
       "std       6761.499857      1.220792     44.324234  \n",
       "min          0.000000      1.000000      0.000000  \n",
       "25%        520.000000      2.000000     53.760000  \n",
       "50%        719.000000      2.000000     68.900000  \n",
       "75%       1098.000000      3.000000     92.142500  \n",
       "max    1000000.000000    100.000000   2489.660000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.immo_id = df.immo_id.astype(str)\n",
    "df.zip_code = df.zip_code.astype(str)\n",
    "df2=df.drop(columns=[\"time_dest\", \"time_dest2\", \"time_dest3\", \"area\", \"cellar\"])\n",
    "df2.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interesting statistics\n",
    "### Providers with most apartment offers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "contact_name\n",
       "Vermietungsteam Stadthaus Verwaltungsgesellschaft            948\n",
       "Britta C. Gruttmann                                          417\n",
       "Ingo Pries                                                   393\n",
       "Petra Hubertus                                               348\n",
       "Manuel Lan                                                   298\n",
       "Melanie Schröder                                             283\n",
       "Sandra Smarslik                                              281\n",
       "Thomas Voss                                                  267\n",
       "Schönlife Immobilien                                         265\n",
       "Kathrin Aschurow                                             253\n",
       "Ihr Makler in Berlin!                                        252\n",
       "Alexandra Nepomnyashcha                                      223\n",
       "Sandra Linke                                                 213\n",
       "Beate Akitoye                                                198\n",
       "Hans-Jürgen  Kloss                                           194\n",
       "Pia Unterlauf                                                186\n",
       "Diana Wilhelm                                                183\n",
       "BIDDEX IMMOBILIEN                                            172\n",
       "Petra Hubertus reco immobilienbüro                           171\n",
       "Andrej Schafranek                                            165\n",
       "Sonja Stanisch                                               160\n",
       "Vermietungsteam Wiesenpark Quartier                          158\n",
       "Ulrich Keiling                                               155\n",
       "Vermietungsabteilung -  Engel & Völkers Berlin Mitte GmbH    154\n",
       "Konstanze Mühlbach                                           151\n",
       "Frau Schulze Vermietung                                      150\n",
       "Corinne Adolph                                               144\n",
       "Giulia Valentino                                             139\n",
       "Dana Marsig                                                  136\n",
       "Michael Chibac                                               135\n",
       "                                                            ... \n",
       "Dirk Friebe                                                    1\n",
       "Dirk Elsner                                                    1\n",
       "Vanessa Murri                                                  1\n",
       "Maik Wehner                                                    1\n",
       "Dipl.-Ing. Ulrike Stübner                                      1\n",
       "Ehrhard Hawelka                                                1\n",
       "MaklerBüro Wille  Frau Schardt- lenbach@optikalusion.com       1\n",
       "Manfred Klinkert                                               1\n",
       "Manuel Hennings                                                1\n",
       "Sven Tillmanns                                                 1\n",
       "Dieter Huber                                                   1\n",
       "Manuel Martinez                                                1\n",
       "Maciej Auda                                                    1\n",
       "MICHAEL DIETRICH                                               1\n",
       "Dirk Wippermann                                                1\n",
       "M. Solms                                                       1\n",
       "M. Kleinschmidt Immobilien                                     1\n",
       "Vanessa Mummert                                                1\n",
       "Dominique McRae                                                1\n",
       "Doreen  Smolarek                                               1\n",
       "Doreen Kärgel                                                  1\n",
       "M. Karge                                                       1\n",
       "M. Jens                                                        1\n",
       "Luise Schirmer                                                 1\n",
       "Dorothea Friedrich                                             1\n",
       "Lucia Demmel                                                   1\n",
       "Liebermann Vernen                                              1\n",
       "Liane Polzin                                                   1\n",
       "Leipzig Engel & Völkers                                        1\n",
       "Simone Burgold                                                 1\n",
       "Length: 1656, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.groupby(\"contact_name\").size().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Districts with most apartment offers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "district\n",
       "Mitte (Mitte)                              2535\n",
       "Charlottenburg (Charlottenburg)            2401\n",
       "Prenzlauer Berg (Prenzlauer Berg)          1982\n",
       "Friedrichshain (Friedrichshain)            1825\n",
       "Neukölln (Neukölln)                        1615\n",
       "Wedding (Wedding)                          1543\n",
       "Tiergarten (Tiergarten)                    1524\n",
       "Wilmersdorf (Wilmersdorf)                  1425\n",
       "Kreuzberg (Kreuzberg)                      1133\n",
       "Spandau (Spandau)                          1088\n",
       "Schöneberg (Schöneberg)                     998\n",
       "Köpenick (Köpenick)                         764\n",
       "Lichterfelde (Steglitz)                     679\n",
       "Weißensee (Weißensee)                       658\n",
       "Reinickendorf (Reinickendorf)               626\n",
       "Steglitz (Steglitz)                         590\n",
       "Pankow (Pankow)                             589\n",
       "Adlershof (Treptow)                         518\n",
       "Marzahn (Marzahn)                           450\n",
       "Niederschönhausen (Pankow)                  409\n",
       "Hellersdorf (Hellersdorf)                   399\n",
       "Zehlendorf (Zehlendorf)                     385\n",
       "Lichtenberg (Lichtenberg)                   379\n",
       "Karlshorst (Lichtenberg)                    343\n",
       "Tempelhof (Tempelhof)                       342\n",
       "Niederschöneweide (Treptow)                 323\n",
       "Dahlem (Zehlendorf)                         319\n",
       "Kaulsdorf (Hellersdorf)                     293\n",
       "Mariendorf (Tempelhof)                      292\n",
       "Staaken (Spandau)                           277\n",
       "                                           ... \n",
       "Neu-Hohenschönhausen (Hohenschönhausen)     110\n",
       "Baumschulenweg (Treptow)                    104\n",
       "Treptow (Treptow)                            94\n",
       "Mahlsdorf (Hellersdorf)                      92\n",
       "Wittenau (Reinickendorf)                     92\n",
       "Französisch Buchholz (Pankow)                84\n",
       "Grünau (Köpenick)                            75\n",
       "Kladow (Spandau)                             74\n",
       "Nikolassee (Zehlendorf)                      73\n",
       "Wannsee (Zehlendorf)                         64\n",
       "Siemensstadt (Spandau)                       63\n",
       "Biesdorf (Marzahn)                           55\n",
       "Plänterwald (Treptow)                        52\n",
       "Frohnau (Reinickendorf)                      51\n",
       "Hermsdorf (Reinickendorf)                    40\n",
       "Buch (Pankow)                                35\n",
       "Lübars (Reinickendorf)                       28\n",
       "Haselhorst (Spandau)                         28\n",
       "Konradshöhe (Reinickendorf)                  27\n",
       "Rahnsdorf (Köpenick)                         26\n",
       "Heinersdorf (Weißensee)                      23\n",
       "Heiligensee (Reinickendorf)                  22\n",
       "Gatow (Spandau)                              19\n",
       "Müggelheim (Köpenick)                        13\n",
       "Bohnsdorf (Treptow)                          12\n",
       "Blankenburg (Weißensee)                       9\n",
       "Schmöckwitz (Köpenick)                        6\n",
       "Rummelsburg (Lichtenberg)                     4\n",
       "Malchow (Hohenschönhausen)                    2\n",
       "Wartenberg (Hohenschönhausen)                 1\n",
       "Length: 79, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.groupby(\"district\").size().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30011"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3=df2[(df2.rent<2000) & (df2.sqm<200) & (df2.rooms < 10) & (df2.extra_costs < 2000)]\n",
    "len(df3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11de9cc18>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df3.plot(x=\"sqm\", y=\"rent\", c=\"rooms\", kind=\"scatter\", colormap=cm.Set1, figsize=(15,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x120c73438>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df3.plot(x=\"lng\", y=\"lat\", c=\"rent\", kind=\"scatter\", figsize=(15,10), colormap=cm.Blues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x121451f98>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x121489048>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1217216d8>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x121748d68>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x12177a3c8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x12177a400>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1217d50f0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1217fb780>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x121824e10>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df3.hist(bins=20,figsize=(15,10), column=[\"extra_costs\",\"lat\",\"lng\",\"media_count\",\"rent\",\"rooms\",\"sqm\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "corr=df3.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1218e7470>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,10)) \n",
    "sns.heatmap(corr, \n",
    "        xticklabels=corr.columns,\n",
    "        yticklabels=corr.columns, center=0.0, \n",
    "            cmap=sns.diverging_palette(5, 250, as_cmap=True), annot=True, fmt=\".2f\", ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/andi/.local/share/virtualenvs/ImmoSpider-M0SYrQN4/lib/python3.6/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x11b9952e8>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 900x900 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# df4=df3.dropna()\n",
    "sns.pairplot(df3, vars=[\"sqm\",\"rooms\",\"rent\",\"media_count\", \"extra_costs\"], kind=\"reg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from sklearn import linear_model\n",
    "from sklearn.metrics import r2_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/andi/.local/share/virtualenvs/ImmoSpider-M0SYrQN4/lib/python3.6/site-packages/pandas/core/generic.py:4405: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self[name] = value\n"
     ]
    }
   ],
   "source": [
    "# One-hot encoding of zip_codes\n",
    "hot_zip = pd.get_dummies(df3.zip_code)\n",
    "df3.balcony = df3.balcony.astype(int)\n",
    "df3.garden = df3.garden.astype(int)\n",
    "df3.kitchen = df3.kitchen.astype(int)\n",
    "df3.private = df3.private.astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = pd.concat((df3[[\"sqm\",\"rooms\",\"balcony\",\"garden\",\"kitchen\",\"private\"]], hot_zip), axis=1)\n",
    "y = df3[[\"rent\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\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>sqm</th>\n",
       "      <th>rooms</th>\n",
       "      <th>balcony</th>\n",
       "      <th>garden</th>\n",
       "      <th>kitchen</th>\n",
       "      <th>private</th>\n",
       "      <th>10059</th>\n",
       "      <th>10115</th>\n",
       "      <th>10117</th>\n",
       "      <th>10119</th>\n",
       "      <th>...</th>\n",
       "      <th>14167</th>\n",
       "      <th>14169</th>\n",
       "      <th>14179</th>\n",
       "      <th>14193</th>\n",
       "      <th>14195</th>\n",
       "      <th>14197</th>\n",
       "      <th>14199</th>\n",
       "      <th>14974</th>\n",
       "      <th>19719</th>\n",
       "      <th>20147</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>82.52</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>102.48</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>54.56</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>59.99</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>37.59</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 241 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      sqm  rooms  balcony  garden  kitchen  private  10059  10115  10117  \\\n",
       "0   82.52    3.0        1       0        0        0      0      0      0   \n",
       "1  102.48    3.0        1       0        0        0      0      0      0   \n",
       "2   54.56    2.0        0       0        1        0      0      0      0   \n",
       "3   59.99    2.0        1       0        1        0      0      0      0   \n",
       "4   37.59    1.0        0       0        0        0      0      0      0   \n",
       "\n",
       "   10119  ...    14167  14169  14179  14193  14195  14197  14199  14974  \\\n",
       "0      0  ...        0      0      0      0      0      0      0      0   \n",
       "1      0  ...        0      0      0      0      0      0      0      0   \n",
       "2      0  ...        0      0      0      0      0      0      0      0   \n",
       "3      0  ...        0      0      0      0      0      0      0      0   \n",
       "4      0  ...        0      0      0      0      0      0      0      0   \n",
       "\n",
       "   19719  20147  \n",
       "0      0      0  \n",
       "1      0      0  \n",
       "2      0      0  \n",
       "3      0      0  \n",
       "4      0      0  \n",
       "\n",
       "[5 rows x 241 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/andi/.local/share/virtualenvs/ImmoSpider-M0SYrQN4/lib/python3.6/site-packages/sklearn/linear_model/base.py:509: RuntimeWarning: internal gelsd driver lwork query error, required iwork dimension not returned. This is likely the result of LAPACK bug 0038, fixed in LAPACK 3.2.2 (released July 21, 2010). Falling back to 'gelss' driver.\n",
      "  linalg.lstsq(X, y)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.805445021495854"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# a simple linear model doesn't perform too well\n",
    "simple = linear_model.LinearRegression()\n",
    "simple.fit(X,y)\n",
    "y_pred = simple.predict(X)\n",
    "r2_score(y, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Robustly fit linear model with RANSAC (RANdom SAmple Consensus) algorithm \n",
    "regressor = linear_model.RANSACRegressor(linear_model.LinearRegression())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "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, loss='absolute_loss',\n",
       "        max_skips=inf, max_trials=100, min_samples=None, random_state=None,\n",
       "        residual_metric=None, residual_threshold=None, stop_n_inliers=inf,\n",
       "        stop_probability=0.99, stop_score=inf)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regressor.fit(X,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "24.0% der Wohnungen als Ausreißer identifiziert\n"
     ]
    }
   ],
   "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": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/andi/.local/share/virtualenvs/ImmoSpider-M0SYrQN4/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "y_pred = regressor.predict(X)\n",
    "df3[\"rent_predicted\"] = y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "r2_ransac = r2_score(y[inlier_mask], y_pred[inlier_mask])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/andi/.local/share/virtualenvs/ImmoSpider-M0SYrQN4/lib/python3.6/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,10)) \n",
    "sns.regplot(df3['rent'][inlier_mask],\n",
    "            df3['rent_predicted'][inlier_mask])\n",
    "plt.scatter(df3['rent'][outlier_mask],\n",
    "            df3['rent_predicted'][outlier_mask],\n",
    "            alpha=0.4,\n",
    "            c='r')\n",
    "\n",
    "plt.title('Prediction of rent for apartments in Berlin')\n",
    "plt.text(250, 2000, r'$R^2=%.2f$' % r2_ransac)\n",
    "plt.tight_layout()\n",
    "# plt.savefig('LinReg-rent-apartment.png', dpi=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3309"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_test = pd.read_csv('apartments_test.csv')\n",
    "len(df_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\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>area</th>\n",
       "      <th>cellar</th>\n",
       "      <th>extra_costs</th>\n",
       "      <th>immo_id</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>media_count</th>\n",
       "      <th>rent</th>\n",
       "      <th>rooms</th>\n",
       "      <th>sqm</th>\n",
       "      <th>zip_code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3309.000000</td>\n",
       "      <td>3.309000e+03</td>\n",
       "      <td>2721.000000</td>\n",
       "      <td>2721.000000</td>\n",
       "      <td>3309.000000</td>\n",
       "      <td>3309.000000</td>\n",
       "      <td>3309.000000</td>\n",
       "      <td>3309.000000</td>\n",
       "      <td>3309.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>229.113629</td>\n",
       "      <td>1.026711e+08</td>\n",
       "      <td>52.508286</td>\n",
       "      <td>13.393502</td>\n",
       "      <td>11.624962</td>\n",
       "      <td>1139.576745</td>\n",
       "      <td>2.577999</td>\n",
       "      <td>82.808250</td>\n",
       "      <td>11876.211242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145.021002</td>\n",
       "      <td>9.777422e+06</td>\n",
       "      <td>0.045547</td>\n",
       "      <td>0.104382</td>\n",
       "      <td>7.639504</td>\n",
       "      <td>888.289082</td>\n",
       "      <td>1.153846</td>\n",
       "      <td>46.044379</td>\n",
       "      <td>1426.281945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.018110e+07</td>\n",
       "      <td>52.376040</td>\n",
       "      <td>13.127430</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>176.520000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>10115.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>140.390000</td>\n",
       "      <td>1.047457e+08</td>\n",
       "      <td>52.478960</td>\n",
       "      <td>13.326820</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>602.620000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>10553.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>1.060304e+08</td>\n",
       "      <td>52.510380</td>\n",
       "      <td>13.390170</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>900.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>72.550000</td>\n",
       "      <td>12159.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>280.000000</td>\n",
       "      <td>1.064149e+08</td>\n",
       "      <td>52.537790</td>\n",
       "      <td>13.452820</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>1400.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>99.810000</td>\n",
       "      <td>13125.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1750.000000</td>\n",
       "      <td>1.066237e+08</td>\n",
       "      <td>52.645320</td>\n",
       "      <td>13.667430</td>\n",
       "      <td>88.000000</td>\n",
       "      <td>15000.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>482.000000</td>\n",
       "      <td>37127.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       area  cellar  extra_costs       immo_id          lat          lng  \\\n",
       "count   0.0     0.0  3309.000000  3.309000e+03  2721.000000  2721.000000   \n",
       "mean    NaN     NaN   229.113629  1.026711e+08    52.508286    13.393502   \n",
       "std     NaN     NaN   145.021002  9.777422e+06     0.045547     0.104382   \n",
       "min     NaN     NaN     0.000000  3.018110e+07    52.376040    13.127430   \n",
       "25%     NaN     NaN   140.390000  1.047457e+08    52.478960    13.326820   \n",
       "50%     NaN     NaN   200.000000  1.060304e+08    52.510380    13.390170   \n",
       "75%     NaN     NaN   280.000000  1.064149e+08    52.537790    13.452820   \n",
       "max     NaN     NaN  1750.000000  1.066237e+08    52.645320    13.667430   \n",
       "\n",
       "       media_count          rent        rooms          sqm      zip_code  \n",
       "count  3309.000000   3309.000000  3309.000000  3309.000000   3309.000000  \n",
       "mean     11.624962   1139.576745     2.577999    82.808250  11876.211242  \n",
       "std       7.639504    888.289082     1.153846    46.044379   1426.281945  \n",
       "min       0.000000    176.520000     1.000000     6.000000  10115.000000  \n",
       "25%       7.000000    602.620000     2.000000    55.000000  10553.000000  \n",
       "50%      10.000000    900.000000     2.000000    72.550000  12159.000000  \n",
       "75%      15.000000   1400.000000     3.000000    99.810000  13125.000000  \n",
       "max      88.000000  15000.000000    11.000000   482.000000  37127.000000  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2_test=df_test.drop(columns=[\"time_dest\", \"time_dest2\", \"time_dest3\"])\n",
    "df2_test.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2993"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3_test=df2_test[(df2_test.rent<2000) & (df2_test.sqm<200) & (df2_test.rooms < 10) & (df2_test.extra_costs < 2000)]\n",
    "len(df3_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/andi/.local/share/virtualenvs/ImmoSpider-M0SYrQN4/lib/python3.6/site-packages/pandas/core/generic.py:4405: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self[name] = value\n"
     ]
    }
   ],
   "source": [
    "hot_zip_test = pd.get_dummies(df3_test.zip_code)\n",
    "df3_test.balcony = df3_test.balcony.astype(int)\n",
    "df3_test.garden = df3_test.garden.astype(int)\n",
    "df3_test.kitchen = df3_test.kitchen.astype(int)\n",
    "df3_test.private = df3_test.private.astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\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>sqm</th>\n",
       "      <th>rooms</th>\n",
       "      <th>balcony</th>\n",
       "      <th>garden</th>\n",
       "      <th>kitchen</th>\n",
       "      <th>private</th>\n",
       "      <th>10115</th>\n",
       "      <th>10117</th>\n",
       "      <th>10119</th>\n",
       "      <th>10178</th>\n",
       "      <th>...</th>\n",
       "      <th>14129</th>\n",
       "      <th>14163</th>\n",
       "      <th>14165</th>\n",
       "      <th>14167</th>\n",
       "      <th>14169</th>\n",
       "      <th>14193</th>\n",
       "      <th>14195</th>\n",
       "      <th>14197</th>\n",
       "      <th>14199</th>\n",
       "      <th>37127</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>83.00</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>107.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>69.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>53.68</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>103.05</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 199 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      sqm  rooms  balcony  garden  kitchen  private  10115  10117  10119  \\\n",
       "0   83.00    2.5        1       0        1        0      0      0      0   \n",
       "1  107.00    4.0        1       0        1        0      0      0      0   \n",
       "2   69.00    2.0        1       0        1        0      0      0      0   \n",
       "3   53.68    2.0        1       1        0        0      0      0      0   \n",
       "4  103.05    3.0        1       0        0        0      0      0      0   \n",
       "\n",
       "   10178  ...    14129  14163  14165  14167  14169  14193  14195  14197  \\\n",
       "0      0  ...        0      0      0      0      0      0      0      0   \n",
       "1      0  ...        0      0      0      0      0      0      0      0   \n",
       "2      0  ...        0      0      0      0      0      0      0      0   \n",
       "3      0  ...        0      0      0      0      0      0      0      0   \n",
       "4      0  ...        0      0      0      0      0      0      0      0   \n",
       "\n",
       "   14199  37127  \n",
       "0      0      0  \n",
       "1      0      0  \n",
       "2      0      0  \n",
       "3      0      0  \n",
       "4      0      0  \n",
       "\n",
       "[5 rows x 199 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test = pd.concat((df3_test[[\"sqm\",\"rooms\",\"balcony\",\"garden\",\"kitchen\",\"private\"]], hot_zip_test), axis=1)\n",
    "y_test = df3_test[[\"rent\"]]\n",
    "X_test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://stackoverflow.com/questions/41335718/keep-same-dummy-variable-in-training-and-testing-data\n",
    "\n",
    "# Get missing columns in the training test\n",
    "missing_cols = set( X.columns ) - set( X_test.columns )\n",
    "# Add a missing column in test set with default value equal to 0\n",
    "for c in missing_cols:\n",
    "    X_test[c] = 0\n",
    "# Ensure the order of column in the test set is in the same order than in train set\n",
    "X_test = X_test[X.columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/andi/.local/share/virtualenvs/ImmoSpider-M0SYrQN4/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "y_pred = regressor.predict(X_test)\n",
    "df3_test[\"rent_predicted\"] = y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.3845097842000519"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r2_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/andi/.local/share/virtualenvs/ImmoSpider-M0SYrQN4/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "df3_test[\"rent_error\"] = df3_test[\"rent\"] - df3_test[\"rent_predicted\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "top = df3_test.sort_values(\"rent_error\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\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>address</th>\n",
       "      <th>area</th>\n",
       "      <th>balcony</th>\n",
       "      <th>cellar</th>\n",
       "      <th>city</th>\n",
       "      <th>contact_name</th>\n",
       "      <th>district</th>\n",
       "      <th>extra_costs</th>\n",
       "      <th>garden</th>\n",
       "      <th>immo_id</th>\n",
       "      <th>...</th>\n",
       "      <th>media_count</th>\n",
       "      <th>private</th>\n",
       "      <th>rent</th>\n",
       "      <th>rooms</th>\n",
       "      <th>sqm</th>\n",
       "      <th>title</th>\n",
       "      <th>url</th>\n",
       "      <th>zip_code</th>\n",
       "      <th>rent_predicted</th>\n",
       "      <th>rent_error</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3169</th>\n",
       "      <td>Von-der-Trenck-Straße 5 A</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Wohnbau Service Bonn GmbH Service Team</td>\n",
       "      <td>Nikolassee (Zehlendorf)</td>\n",
       "      <td>195.98</td>\n",
       "      <td>1</td>\n",
       "      <td>89168579</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>535.02</td>\n",
       "      <td>2.0</td>\n",
       "      <td>67.04</td>\n",
       "      <td>WBS erforderlich!!! ruhige Wohnung mit Garten</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/89168579</td>\n",
       "      <td>14129</td>\n",
       "      <td>774.322687</td>\n",
       "      <td>-239.302687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3151</th>\n",
       "      <td>Von-der-Trenck-Straße 3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Wohnbau Service Bonn GmbH Service Team</td>\n",
       "      <td>Nikolassee (Zehlendorf)</td>\n",
       "      <td>182.17</td>\n",
       "      <td>0</td>\n",
       "      <td>90729049</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>451.83</td>\n",
       "      <td>1.5</td>\n",
       "      <td>56.62</td>\n",
       "      <td>Wohnen in der Natur! WBS erforderlich! Einbauk...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/90729049</td>\n",
       "      <td>14129</td>\n",
       "      <td>629.757535</td>\n",
       "      <td>-177.927535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3090</th>\n",
       "      <td>Alsterweg 53</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Dave  Felgenhauer</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>164.00</td>\n",
       "      <td>1</td>\n",
       "      <td>95781013</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>408.18</td>\n",
       "      <td>1.5</td>\n",
       "      <td>52.68</td>\n",
       "      <td>Bereits modernisierte Wohnung, mit großem Balk...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/95781013</td>\n",
       "      <td>14167</td>\n",
       "      <td>574.065009</td>\n",
       "      <td>-165.885009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1933</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Philipp Vormeier</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>240.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106200307</td>\n",
       "      <td>...</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>950.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>105.00</td>\n",
       "      <td>Ruhige Wohnung in Berlin, Zehlendorf</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106200307</td>\n",
       "      <td>14167</td>\n",
       "      <td>1065.147978</td>\n",
       "      <td>-115.147978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1790</th>\n",
       "      <td>Am Sandwerder 24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Jörg-M. Meier</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>215.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106291069</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>530.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>61.01</td>\n",
       "      <td>Helle 2-Zimmerwohnung im Grünen, nahe Wannsee.</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106291069</td>\n",
       "      <td>14109</td>\n",
       "      <td>614.251279</td>\n",
       "      <td>-84.251279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1071</th>\n",
       "      <td>Marshallstr. 9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>GmbH PRINTS</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>298.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106595282</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>1048.23</td>\n",
       "      <td>3.0</td>\n",
       "      <td>110.00</td>\n",
       "      <td>+NAHE GRUNEWALD+SONNENBALKON+PARKETT+WOHNKÜCHE</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106595282</td>\n",
       "      <td>14169</td>\n",
       "      <td>1131.169515</td>\n",
       "      <td>-82.939515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1064</th>\n",
       "      <td>Pritchardstraße 13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Axel Pfeiffer</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>241.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106596584</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>868.05</td>\n",
       "      <td>3.0</td>\n",
       "      <td>89.49</td>\n",
       "      <td>3 Zimmer mit Balkon Nähe Grunewald ab September</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106596584</td>\n",
       "      <td>14169</td>\n",
       "      <td>905.880449</td>\n",
       "      <td>-37.830449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2604</th>\n",
       "      <td>Düppelstr. 19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>115.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105189965</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>570.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>55.64</td>\n",
       "      <td>Tolle Wohnung in ruhiger Zehlendorf-Lage</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105189965</td>\n",
       "      <td>14163</td>\n",
       "      <td>602.302764</td>\n",
       "      <td>-32.302764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1385</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Ralph Wodrich</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>756.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106495039</td>\n",
       "      <td>...</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>1628.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>148.00</td>\n",
       "      <td>WANNSEE : EG-Maisonetten-Wohnung direkt am Kle...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106495039</td>\n",
       "      <td>14109</td>\n",
       "      <td>1642.410666</td>\n",
       "      <td>-14.410666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2181</th>\n",
       "      <td>Starkenburger Str. 3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Yvonne Fuchs</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>348.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105996967</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1005.30</td>\n",
       "      <td>3.5</td>\n",
       "      <td>100.53</td>\n",
       "      <td>++Wir renovieren für Sie: Ansprechende 3,5-Zim...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105996967</td>\n",
       "      <td>14163</td>\n",
       "      <td>1010.457592</td>\n",
       "      <td>-5.157592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3083</th>\n",
       "      <td>Albertinenstr. 12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>BITTE NUR PER EMAIL WGW Hausverwaltung GmbH</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>350.00</td>\n",
       "      <td>1</td>\n",
       "      <td>96253253</td>\n",
       "      <td>...</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>950.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>85.00</td>\n",
       "      <td>SCHÖNE, HELLE 3-ZIMMERWOHNUNG MIT BALKON IN ZE...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/96253253</td>\n",
       "      <td>14169</td>\n",
       "      <td>950.396470</td>\n",
       "      <td>-0.396470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1752</th>\n",
       "      <td>Sangebuchtweg 11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>320.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106315694</td>\n",
       "      <td>...</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>1099.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>107.00</td>\n",
       "      <td>Erstbezug nach Modernisierung! 3-Zimmer-Wohnun...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106315694</td>\n",
       "      <td>14109</td>\n",
       "      <td>1098.216458</td>\n",
       "      <td>0.783542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>713</th>\n",
       "      <td>Potsdamer Chaussee 26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Mirko Neumann</td>\n",
       "      <td>Nikolassee (Zehlendorf)</td>\n",
       "      <td>340.00</td>\n",
       "      <td>1</td>\n",
       "      <td>57300477</td>\n",
       "      <td>...</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>1400.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>140.00</td>\n",
       "      <td>Schöne, geräumige 4Zimmerwohnung im Dachgescho...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/57300477</td>\n",
       "      <td>14129</td>\n",
       "      <td>1396.475338</td>\n",
       "      <td>3.524662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980</th>\n",
       "      <td>Breisgauer Str. 4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nikolassee (Zehlendorf)</td>\n",
       "      <td>117.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106174394</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>495.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>42.05</td>\n",
       "      <td>1-Zi-Apartment nahe Schlachtensee</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106174394</td>\n",
       "      <td>14129</td>\n",
       "      <td>474.230600</td>\n",
       "      <td>20.769400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2492</th>\n",
       "      <td>Hugo Vogel Straße 6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Achim Emde</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>257.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105518230</td>\n",
       "      <td>...</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>1270.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>124.80</td>\n",
       "      <td>Ansprechende 4-Zimmer-Wohnung zur Miete in Wan...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105518230</td>\n",
       "      <td>14109</td>\n",
       "      <td>1248.014875</td>\n",
       "      <td>21.985125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1451</th>\n",
       "      <td>Breitensteinweg 10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Julia Ziglowski</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>120.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106460055</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>521.54</td>\n",
       "      <td>2.0</td>\n",
       "      <td>49.67</td>\n",
       "      <td>Sonnenbalkon + Wohnküche, das passt!</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106460055</td>\n",
       "      <td>14165</td>\n",
       "      <td>489.688724</td>\n",
       "      <td>31.851276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>Spilstraße 10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>212.42</td>\n",
       "      <td>1</td>\n",
       "      <td>106296522</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>900.96</td>\n",
       "      <td>2.0</td>\n",
       "      <td>75.08</td>\n",
       "      <td>Helle und sanierte 2 Zimmer-Altbauwohnung in S...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106296522</td>\n",
       "      <td>14195</td>\n",
       "      <td>856.549366</td>\n",
       "      <td>44.410634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3147</th>\n",
       "      <td>Mörchinger Str. 25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>120.00</td>\n",
       "      <td>0</td>\n",
       "      <td>91171284</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>450.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.00</td>\n",
       "      <td>Einzimmerwohnung im Grünen von Zehlendorf - ho...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/91171284</td>\n",
       "      <td>14169</td>\n",
       "      <td>402.878430</td>\n",
       "      <td>47.121570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3055</th>\n",
       "      <td>Ramsteinweg 23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Dennis Hirschberg</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>147.03</td>\n",
       "      <td>1</td>\n",
       "      <td>98023697</td>\n",
       "      <td>...</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>606.05</td>\n",
       "      <td>2.0</td>\n",
       "      <td>52.70</td>\n",
       "      <td>+++ ACHTUNG +++ NEUBAU RAMSTEINWEG 23 SUCHT NA...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/98023697</td>\n",
       "      <td>14165</td>\n",
       "      <td>557.594590</td>\n",
       "      <td>48.455410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2274</th>\n",
       "      <td>Podbielskiallee 68</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Markus Krause</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>204.00</td>\n",
       "      <td>1</td>\n",
       "      <td>105901612</td>\n",
       "      <td>...</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>795.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>65.00</td>\n",
       "      <td>schöne teilmöblierte 2 Zi. in Dahlemlage</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105901612</td>\n",
       "      <td>14195</td>\n",
       "      <td>745.827094</td>\n",
       "      <td>49.172906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>623</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Ralph Wodrich</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>550.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106245902</td>\n",
       "      <td>...</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1180.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>98.79</td>\n",
       "      <td>WANNSEE in Bestlage. : Attr. BALKON-Wohnung di...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106245902</td>\n",
       "      <td>14109</td>\n",
       "      <td>1123.075873</td>\n",
       "      <td>56.924127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3261</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>G. Schmidt</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>315.00</td>\n",
       "      <td>1</td>\n",
       "      <td>68925463</td>\n",
       "      <td>...</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>910.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>83.00</td>\n",
       "      <td>3-Zi.-Wohnung mit Terrasse u. Garten in sehr g...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/68925463</td>\n",
       "      <td>14169</td>\n",
       "      <td>850.784925</td>\n",
       "      <td>59.215075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2336</th>\n",
       "      <td>Hocksteinweg 17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Alexandra Nepomnyashcha</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>156.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105796491</td>\n",
       "      <td>...</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>590.00</td>\n",
       "      <td>2.5</td>\n",
       "      <td>53.55</td>\n",
       "      <td>Kleines gemütliches Heim in einer angenehmen S...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105796491</td>\n",
       "      <td>14165</td>\n",
       "      <td>515.617905</td>\n",
       "      <td>74.382095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2232</th>\n",
       "      <td>Taylorstr. 9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Stephanie Schulze</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>320.94</td>\n",
       "      <td>0</td>\n",
       "      <td>105941148</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1125.81</td>\n",
       "      <td>5.0</td>\n",
       "      <td>106.50</td>\n",
       "      <td>Familienfreundlich wohnen in ruhiger Lage</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105941148</td>\n",
       "      <td>14195</td>\n",
       "      <td>1050.313913</td>\n",
       "      <td>75.496087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2510</th>\n",
       "      <td>Taylorstr. 15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Stephanie Schulze</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>291.39</td>\n",
       "      <td>0</td>\n",
       "      <td>105476421</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>961.92</td>\n",
       "      <td>3.0</td>\n",
       "      <td>88.10</td>\n",
       "      <td>Erstbezug nach Sanierung in Dahlem!</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105476421</td>\n",
       "      <td>14195</td>\n",
       "      <td>884.524685</td>\n",
       "      <td>77.395315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1412</th>\n",
       "      <td>Dahlemer Weg 223</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Möller Nadine</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>245.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106484356</td>\n",
       "      <td>...</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>780.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>70.96</td>\n",
       "      <td>3-Zi-Whg. am Heinrich-Laehr-Park - Besichtigun...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106484356</td>\n",
       "      <td>14167</td>\n",
       "      <td>702.340400</td>\n",
       "      <td>77.659600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2037</th>\n",
       "      <td>Hammerstraße, 42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>220.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106129364</td>\n",
       "      <td>...</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>925.43</td>\n",
       "      <td>2.0</td>\n",
       "      <td>79.82</td>\n",
       "      <td>Helle 2-Zimmer-Luxus-Wohnung in ruhiger Lage</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106129364</td>\n",
       "      <td>14167</td>\n",
       "      <td>837.059869</td>\n",
       "      <td>88.370131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2200</th>\n",
       "      <td>Beerenstr. 11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Pamela Wunsch</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>131.47</td>\n",
       "      <td>0</td>\n",
       "      <td>105949718</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>444.82</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.38</td>\n",
       "      <td>Ruhige Seniorenwohnung im schönen Zehlendorf</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105949718</td>\n",
       "      <td>14163</td>\n",
       "      <td>353.927513</td>\n",
       "      <td>90.892487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>825</th>\n",
       "      <td>Riemeisterstraße 4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Nils Bock</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>89388312</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>350.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>25.00</td>\n",
       "      <td>Studenten wohnen wie Gott in Frankreich</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/89388312</td>\n",
       "      <td>14169</td>\n",
       "      <td>256.102859</td>\n",
       "      <td>93.897141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>Saargemünder Straße  27 b</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sybille Löffelbein</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>179.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106570653</td>\n",
       "      <td>...</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>799.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>60.00</td>\n",
       "      <td>\"The Metropolitan Gardens\" - Wohnen im Park: K...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106570653</td>\n",
       "      <td>14195</td>\n",
       "      <td>696.992847</td>\n",
       "      <td>102.007153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2036</th>\n",
       "      <td>Habelschwerdter Allee 1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Dennis Altinok</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>50.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106129651</td>\n",
       "      <td>...</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>499.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.65</td>\n",
       "      <td>Helle 1-Zimmer Wohnung nahe der FU in super La...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106129651</td>\n",
       "      <td>14195</td>\n",
       "      <td>378.861993</td>\n",
       "      <td>120.138007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1613</th>\n",
       "      <td>Eschershauser Weg 29f</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sabine  Rösel</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>169.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106365380</td>\n",
       "      <td>...</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>650.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>53.00</td>\n",
       "      <td>Spektakulärer Waldblick an der Krummen Lanke -...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106365380</td>\n",
       "      <td>14163</td>\n",
       "      <td>526.266617</td>\n",
       "      <td>123.733383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1742</th>\n",
       "      <td>Mörchinger Str. 63</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Rayk Welke</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>111.10</td>\n",
       "      <td>0</td>\n",
       "      <td>106317810</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>526.03</td>\n",
       "      <td>1.5</td>\n",
       "      <td>39.93</td>\n",
       "      <td>Wir modernisieren für Sie!</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106317810</td>\n",
       "      <td>14169</td>\n",
       "      <td>387.216210</td>\n",
       "      <td>138.813790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>611</th>\n",
       "      <td>Schorlemer Allee 3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>150.67</td>\n",
       "      <td>0</td>\n",
       "      <td>106296679</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>860.40</td>\n",
       "      <td>2.5</td>\n",
       "      <td>71.70</td>\n",
       "      <td>Schöne, helle und sanierte 2,5 Zimmer-Altbauwo...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106296679</td>\n",
       "      <td>14195</td>\n",
       "      <td>721.071413</td>\n",
       "      <td>139.328587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1743</th>\n",
       "      <td>Mörchinger Str. 59</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Rayk Welke</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>88.25</td>\n",
       "      <td>0</td>\n",
       "      <td>106317805</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>448.87</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.48</td>\n",
       "      <td>***Aus alt mach neu!!***</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106317805</td>\n",
       "      <td>14169</td>\n",
       "      <td>305.001025</td>\n",
       "      <td>143.868975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3166</th>\n",
       "      <td>Clayallee 311</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Anne Gärtner</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>280.00</td>\n",
       "      <td>0</td>\n",
       "      <td>89349917</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1209.60</td>\n",
       "      <td>4.0</td>\n",
       "      <td>108.00</td>\n",
       "      <td>Zehlendorf, Stadtvilla, DG Maisonette</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/89349917</td>\n",
       "      <td>14169</td>\n",
       "      <td>1063.477757</td>\n",
       "      <td>146.122243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1904</th>\n",
       "      <td>Lange Stüclen 7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>600.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106216844</td>\n",
       "      <td>...</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>1775.00</td>\n",
       "      <td>5.0</td>\n",
       "      <td>149.44</td>\n",
       "      <td>HOMESK - 5-Zimmer-Maisonette mit Terrasse in i...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106216844</td>\n",
       "      <td>14109</td>\n",
       "      <td>1615.817765</td>\n",
       "      <td>159.182235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2773</th>\n",
       "      <td>Podbielskiallee 40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Claudia von Zitzewitz</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>450.00</td>\n",
       "      <td>1</td>\n",
       "      <td>104558120</td>\n",
       "      <td>...</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>1475.37</td>\n",
       "      <td>3.0</td>\n",
       "      <td>118.30</td>\n",
       "      <td>3 - Zimmer Wohnung mit Südterrasse in bester L...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/104558120</td>\n",
       "      <td>14195</td>\n",
       "      <td>1316.175402</td>\n",
       "      <td>159.194598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3186</th>\n",
       "      <td>Königin-Luise-Str. 5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>95.00</td>\n",
       "      <td>0</td>\n",
       "      <td>87475137</td>\n",
       "      <td>...</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>395.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>19.37</td>\n",
       "      <td>Möbliertes, modernes 1-Zi-Appartement ab 01.10...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/87475137</td>\n",
       "      <td>14195</td>\n",
       "      <td>231.193004</td>\n",
       "      <td>163.806996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>719</th>\n",
       "      <td>Königin-Luise-Straße 5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Karl-Heinz Jettinger</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>109.00</td>\n",
       "      <td>0</td>\n",
       "      <td>85047209</td>\n",
       "      <td>...</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>520.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>30.50</td>\n",
       "      <td>Großes Möbliertes Apartment für Studenten und ...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/85047209</td>\n",
       "      <td>14195</td>\n",
       "      <td>353.448845</td>\n",
       "      <td>166.551155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1153</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>200.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106574939</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>51.00</td>\n",
       "      <td>Schöne zwei Zimmer Wohnung in Berlin, Zehlendorf</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106574939</td>\n",
       "      <td>14167</td>\n",
       "      <td>426.655072</td>\n",
       "      <td>173.344928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2658</th>\n",
       "      <td>Potsdamer Straße 38</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sascha Lobeck</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>97.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105030507</td>\n",
       "      <td>...</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>800.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>58.00</td>\n",
       "      <td>Dachgeschoss-Wohnung in Berlin-Zehlendorf fris...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105030507</td>\n",
       "      <td>14163</td>\n",
       "      <td>607.020651</td>\n",
       "      <td>192.979349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3196</th>\n",
       "      <td>Glockenstraße 2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Gerd Plensky</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>267.90</td>\n",
       "      <td>1</td>\n",
       "      <td>85787616</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1320.04</td>\n",
       "      <td>3.0</td>\n",
       "      <td>105.64</td>\n",
       "      <td>3 Zimmer im EG und Souterrain in begehrter Wes...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/85787616</td>\n",
       "      <td>14163</td>\n",
       "      <td>1123.988531</td>\n",
       "      <td>196.051469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2494</th>\n",
       "      <td>Königsstr. 67a</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Dr. Christian Schölzel</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>180.00</td>\n",
       "      <td>1</td>\n",
       "      <td>105511918</td>\n",
       "      <td>...</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>350.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>20.00</td>\n",
       "      <td>1 Zimmer-Wohnung, ca. 20 qm mit Badesteg zum K...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105511918</td>\n",
       "      <td>14109</td>\n",
       "      <td>141.968613</td>\n",
       "      <td>208.031387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>854</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Leon Karsten</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>177.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106385218</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>820.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>56.00</td>\n",
       "      <td>Neubau-Wohnung in Dahlem (inkl. EBK &amp; Balkon)</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106385218</td>\n",
       "      <td>14195</td>\n",
       "      <td>575.412597</td>\n",
       "      <td>244.587403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>Brettnacher Straße 21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Marc Zellner</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>190.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105849682</td>\n",
       "      <td>...</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>1110.00</td>\n",
       "      <td>2.5</td>\n",
       "      <td>79.30</td>\n",
       "      <td>Umfassend modernisierte Wohnung mit Einbauküch...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105849682</td>\n",
       "      <td>14167</td>\n",
       "      <td>857.677462</td>\n",
       "      <td>252.322538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>739</th>\n",
       "      <td>Flanaganstrasse 20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Stefan Hainzl</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>232.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106596591</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1206.63</td>\n",
       "      <td>4.0</td>\n",
       "      <td>96.53</td>\n",
       "      <td>Schöne vier Zimmer Wohnung direkt am Grunewald...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106596591</td>\n",
       "      <td>14195</td>\n",
       "      <td>937.487235</td>\n",
       "      <td>269.142765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>Berliner Straße 12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Michael Röder</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>141.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106368136</td>\n",
       "      <td>...</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>1128.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>85.00</td>\n",
       "      <td>TRAUMHAFT helle Wohnung, Stuck, Einbauküche, W...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106368136</td>\n",
       "      <td>14169</td>\n",
       "      <td>825.955324</td>\n",
       "      <td>302.044676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1526</th>\n",
       "      <td>Hampsteadstraße 33</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Thomas Nölle</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>390.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106418297</td>\n",
       "      <td>...</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>1456.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>112.00</td>\n",
       "      <td>Neuwertige 4-Zimmer-Erdgeschosswohnung mit Sou...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106418297</td>\n",
       "      <td>14167</td>\n",
       "      <td>1148.125958</td>\n",
       "      <td>307.874042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1262</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Franz Du Chesne</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>345.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106533126</td>\n",
       "      <td>...</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>1499.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>116.60</td>\n",
       "      <td>Sanierte 4Zi Wohnung am Dreipfuhlpark mit Balk...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106533126</td>\n",
       "      <td>14195</td>\n",
       "      <td>1182.461056</td>\n",
       "      <td>316.538944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>Berliner Straße 12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Thierry Dubois</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>132.00</td>\n",
       "      <td>0</td>\n",
       "      <td>104927243</td>\n",
       "      <td>...</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>1065.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>77.00</td>\n",
       "      <td>TRAUMHAFT helle Wohnung, Stuck, Einbauküche, W...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/104927243</td>\n",
       "      <td>14169</td>\n",
       "      <td>738.080505</td>\n",
       "      <td>326.919495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1560</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Felicitas Rennert</td>\n",
       "      <td>Nikolassee (Zehlendorf)</td>\n",
       "      <td>400.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106384388</td>\n",
       "      <td>...</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>1596.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>114.00</td>\n",
       "      <td>Chices Wohnen mit netten Nachbarn, 151 m² auf ...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106384388</td>\n",
       "      <td>14129</td>\n",
       "      <td>1247.737503</td>\n",
       "      <td>348.262497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>906</th>\n",
       "      <td>Teltower Damm 203 B</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>265.00</td>\n",
       "      <td>0</td>\n",
       "      <td>66633796</td>\n",
       "      <td>...</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>1141.80</td>\n",
       "      <td>2.0</td>\n",
       "      <td>74.53</td>\n",
       "      <td>Barrierefreie 2-Zimmer-Wohnung</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/66633796</td>\n",
       "      <td>14167</td>\n",
       "      <td>756.672208</td>\n",
       "      <td>385.127792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>804</th>\n",
       "      <td>Lutterbacher Str. 22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Bernhard Reiter</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>320.00</td>\n",
       "      <td>1</td>\n",
       "      <td>85123148</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1395.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>96.50</td>\n",
       "      <td>Gehobenes Wohnen im Rhytmus der Jahreszeiten</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/85123148</td>\n",
       "      <td>14167</td>\n",
       "      <td>999.073682</td>\n",
       "      <td>395.926318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3276</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>350.00</td>\n",
       "      <td>0</td>\n",
       "      <td>62407818</td>\n",
       "      <td>...</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>1800.00</td>\n",
       "      <td>6.0</td>\n",
       "      <td>147.00</td>\n",
       "      <td>Exklusives Wohnen im Baudenkmal</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/62407818</td>\n",
       "      <td>14163</td>\n",
       "      <td>1396.332157</td>\n",
       "      <td>403.667843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>Sundgauer Straße  .</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sandra Smarslik</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>240.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106489995</td>\n",
       "      <td>...</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>1170.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>69.00</td>\n",
       "      <td>Einziehen und Wohlfühlen! Moderne, vollmöblier...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106489995</td>\n",
       "      <td>14169</td>\n",
       "      <td>755.141225</td>\n",
       "      <td>414.858775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1656</th>\n",
       "      <td>Charlottenburger Straße 6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Lars Thieme</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>200.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106350242</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1500.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>Sehr helle und ruhige 3 Zimmer Wohnung (Neubau)</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106350242</td>\n",
       "      <td>14169</td>\n",
       "      <td>1037.518915</td>\n",
       "      <td>462.481085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1508</th>\n",
       "      <td>Am Hirschsprung 59 C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Reinhard Timm e. K.</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>400.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106434786</td>\n",
       "      <td>...</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>1900.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>130.00</td>\n",
       "      <td>Top-Dahlem-Lage: Schönes Reihenmittelhaus mit ...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106434786</td>\n",
       "      <td>14195</td>\n",
       "      <td>1397.894018</td>\n",
       "      <td>502.105982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2533</th>\n",
       "      <td>Goßlerstraße 15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>150.00</td>\n",
       "      <td>1</td>\n",
       "      <td>105408183</td>\n",
       "      <td>...</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>1250.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>71.00</td>\n",
       "      <td>71qm in Dahlem Altbauvilla (möbliert)</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105408183</td>\n",
       "      <td>14195</td>\n",
       "      <td>712.885184</td>\n",
       "      <td>537.114816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Kleiststraße 30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Uwe Peschel</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>200.00</td>\n",
       "      <td>0</td>\n",
       "      <td>69450128</td>\n",
       "      <td>...</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>1590.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>86.00</td>\n",
       "      <td>Toplage!Attraktives Penthouse in einer Stadtvi...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/69450128</td>\n",
       "      <td>14163</td>\n",
       "      <td>920.670030</td>\n",
       "      <td>669.329970</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>60 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        address  area  balcony  cellar    city  \\\n",
       "3169  Von-der-Trenck-Straße 5 A   NaN        1     NaN  Berlin   \n",
       "3151    Von-der-Trenck-Straße 3   NaN        1     NaN  Berlin   \n",
       "3090               Alsterweg 53   NaN        1     NaN  Berlin   \n",
       "1933                        NaN   NaN        0     NaN  Berlin   \n",
       "1790           Am Sandwerder 24   NaN        1     NaN  Berlin   \n",
       "1071             Marshallstr. 9   NaN        1     NaN  Berlin   \n",
       "1064         Pritchardstraße 13   NaN        1     NaN  Berlin   \n",
       "2604              Düppelstr. 19   NaN        0     NaN  Berlin   \n",
       "1385                        NaN   NaN        1     NaN  Berlin   \n",
       "2181       Starkenburger Str. 3   NaN        0     NaN  Berlin   \n",
       "3083          Albertinenstr. 12   NaN        1     NaN  Berlin   \n",
       "1752           Sangebuchtweg 11   NaN        1     NaN  Berlin   \n",
       "713       Potsdamer Chaussee 26   NaN        0     NaN  Berlin   \n",
       "1980          Breisgauer Str. 4   NaN        0     NaN  Berlin   \n",
       "2492        Hugo Vogel Straße 6   NaN        1     NaN  Berlin   \n",
       "1451         Breitensteinweg 10   NaN        1     NaN  Berlin   \n",
       "252               Spilstraße 10   NaN        0     NaN  Berlin   \n",
       "3147         Mörchinger Str. 25   NaN        1     NaN  Berlin   \n",
       "3055             Ramsteinweg 23   NaN        0     NaN  Berlin   \n",
       "2274         Podbielskiallee 68   NaN        0     NaN  Berlin   \n",
       "623                         NaN   NaN        1     NaN  Berlin   \n",
       "3261                        NaN   NaN        1     NaN  Berlin   \n",
       "2336            Hocksteinweg 17   NaN        0     NaN  Berlin   \n",
       "2232               Taylorstr. 9   NaN        1     NaN  Berlin   \n",
       "2510              Taylorstr. 15   NaN        0     NaN  Berlin   \n",
       "1412           Dahlemer Weg 223   NaN        1     NaN  Berlin   \n",
       "2037           Hammerstraße, 42   NaN        1     NaN  Berlin   \n",
       "2200              Beerenstr. 11   NaN        1     NaN  Berlin   \n",
       "825          Riemeisterstraße 4   NaN        1     NaN  Berlin   \n",
       "375   Saargemünder Straße  27 b   NaN        1     NaN  Berlin   \n",
       "2036    Habelschwerdter Allee 1   NaN        1     NaN  Berlin   \n",
       "1613      Eschershauser Weg 29f   NaN        1     NaN  Berlin   \n",
       "1742         Mörchinger Str. 63   NaN        0     NaN  Berlin   \n",
       "611          Schorlemer Allee 3   NaN        1     NaN  Berlin   \n",
       "1743         Mörchinger Str. 59   NaN        0     NaN  Berlin   \n",
       "3166              Clayallee 311   NaN        1     NaN  Berlin   \n",
       "1904            Lange Stüclen 7   NaN        1     NaN  Berlin   \n",
       "2773         Podbielskiallee 40   NaN        1     NaN  Berlin   \n",
       "3186       Königin-Luise-Str. 5   NaN        1     NaN  Berlin   \n",
       "719      Königin-Luise-Straße 5   NaN        1     NaN  Berlin   \n",
       "1153                        NaN   NaN        1     NaN  Berlin   \n",
       "2658        Potsdamer Straße 38   NaN        0     NaN  Berlin   \n",
       "3196            Glockenstraße 2   NaN        1     NaN  Berlin   \n",
       "2494             Königsstr. 67a   NaN        0     NaN  Berlin   \n",
       "854                         NaN   NaN        1     NaN  Berlin   \n",
       "357       Brettnacher Straße 21   NaN        1     NaN  Berlin   \n",
       "739          Flanaganstrasse 20   NaN        1     NaN  Berlin   \n",
       "156          Berliner Straße 12   NaN        0     NaN  Berlin   \n",
       "1526         Hampsteadstraße 33   NaN        1     NaN  Berlin   \n",
       "1262                        NaN   NaN        1     NaN  Berlin   \n",
       "139          Berliner Straße 12   NaN        0     NaN  Berlin   \n",
       "1560                        NaN   NaN        1     NaN  Berlin   \n",
       "906         Teltower Damm 203 B   NaN        0     NaN  Berlin   \n",
       "804        Lutterbacher Str. 22   NaN        1     NaN  Berlin   \n",
       "3276                        NaN   NaN        1     NaN  Berlin   \n",
       "569         Sundgauer Straße  .   NaN        1     NaN  Berlin   \n",
       "1656  Charlottenburger Straße 6   NaN        1     NaN  Berlin   \n",
       "1508       Am Hirschsprung 59 C   NaN        0     NaN  Berlin   \n",
       "2533            Goßlerstraße 15   NaN        0     NaN  Berlin   \n",
       "141             Kleiststraße 30   NaN        1     NaN  Berlin   \n",
       "\n",
       "                                     contact_name                 district  \\\n",
       "3169       Wohnbau Service Bonn GmbH Service Team  Nikolassee (Zehlendorf)   \n",
       "3151       Wohnbau Service Bonn GmbH Service Team  Nikolassee (Zehlendorf)   \n",
       "3090                            Dave  Felgenhauer  Zehlendorf (Zehlendorf)   \n",
       "1933                             Philipp Vormeier  Zehlendorf (Zehlendorf)   \n",
       "1790                                Jörg-M. Meier     Wannsee (Zehlendorf)   \n",
       "1071                                  GmbH PRINTS      Dahlem (Zehlendorf)   \n",
       "1064                                Axel Pfeiffer      Dahlem (Zehlendorf)   \n",
       "2604                                          NaN  Zehlendorf (Zehlendorf)   \n",
       "1385                                Ralph Wodrich     Wannsee (Zehlendorf)   \n",
       "2181                                 Yvonne Fuchs  Zehlendorf (Zehlendorf)   \n",
       "3083  BITTE NUR PER EMAIL WGW Hausverwaltung GmbH  Zehlendorf (Zehlendorf)   \n",
       "1752                                          NaN     Wannsee (Zehlendorf)   \n",
       "713                                 Mirko Neumann  Nikolassee (Zehlendorf)   \n",
       "1980                                          NaN  Nikolassee (Zehlendorf)   \n",
       "2492                                   Achim Emde     Wannsee (Zehlendorf)   \n",
       "1451                              Julia Ziglowski  Zehlendorf (Zehlendorf)   \n",
       "252                                           NaN      Dahlem (Zehlendorf)   \n",
       "3147                                          NaN  Zehlendorf (Zehlendorf)   \n",
       "3055                            Dennis Hirschberg  Zehlendorf (Zehlendorf)   \n",
       "2274                                Markus Krause      Dahlem (Zehlendorf)   \n",
       "623                                 Ralph Wodrich     Wannsee (Zehlendorf)   \n",
       "3261                                   G. Schmidt  Zehlendorf (Zehlendorf)   \n",
       "2336                      Alexandra Nepomnyashcha  Zehlendorf (Zehlendorf)   \n",
       "2232                            Stephanie Schulze      Dahlem (Zehlendorf)   \n",
       "2510                            Stephanie Schulze      Dahlem (Zehlendorf)   \n",
       "1412                                Möller Nadine  Zehlendorf (Zehlendorf)   \n",
       "2037                                          NaN  Zehlendorf (Zehlendorf)   \n",
       "2200                                Pamela Wunsch  Zehlendorf (Zehlendorf)   \n",
       "825                                     Nils Bock  Zehlendorf (Zehlendorf)   \n",
       "375                            Sybille Löffelbein      Dahlem (Zehlendorf)   \n",
       "2036                               Dennis Altinok      Dahlem (Zehlendorf)   \n",
       "1613                                Sabine  Rösel  Zehlendorf (Zehlendorf)   \n",
       "1742                                   Rayk Welke  Zehlendorf (Zehlendorf)   \n",
       "611                                           NaN      Dahlem (Zehlendorf)   \n",
       "1743                                   Rayk Welke  Zehlendorf (Zehlendorf)   \n",
       "3166                                 Anne Gärtner  Zehlendorf (Zehlendorf)   \n",
       "1904                                          NaN     Wannsee (Zehlendorf)   \n",
       "2773                        Claudia von Zitzewitz      Dahlem (Zehlendorf)   \n",
       "3186                                          NaN      Dahlem (Zehlendorf)   \n",
       "719                          Karl-Heinz Jettinger      Dahlem (Zehlendorf)   \n",
       "1153                                          NaN  Zehlendorf (Zehlendorf)   \n",
       "2658                                Sascha Lobeck  Zehlendorf (Zehlendorf)   \n",
       "3196                                 Gerd Plensky  Zehlendorf (Zehlendorf)   \n",
       "2494                       Dr. Christian Schölzel     Wannsee (Zehlendorf)   \n",
       "854                                  Leon Karsten      Dahlem (Zehlendorf)   \n",
       "357                                  Marc Zellner  Zehlendorf (Zehlendorf)   \n",
       "739                                 Stefan Hainzl      Dahlem (Zehlendorf)   \n",
       "156                                 Michael Röder  Zehlendorf (Zehlendorf)   \n",
       "1526                                 Thomas Nölle  Zehlendorf (Zehlendorf)   \n",
       "1262                              Franz Du Chesne      Dahlem (Zehlendorf)   \n",
       "139                                Thierry Dubois  Zehlendorf (Zehlendorf)   \n",
       "1560                            Felicitas Rennert  Nikolassee (Zehlendorf)   \n",
       "906                                           NaN  Zehlendorf (Zehlendorf)   \n",
       "804                               Bernhard Reiter  Zehlendorf (Zehlendorf)   \n",
       "3276                                          NaN  Zehlendorf (Zehlendorf)   \n",
       "569                               Sandra Smarslik      Dahlem (Zehlendorf)   \n",
       "1656                                  Lars Thieme  Zehlendorf (Zehlendorf)   \n",
       "1508                          Reinhard Timm e. K.      Dahlem (Zehlendorf)   \n",
       "2533                                          NaN      Dahlem (Zehlendorf)   \n",
       "141                                   Uwe Peschel  Zehlendorf (Zehlendorf)   \n",
       "\n",
       "      extra_costs  garden    immo_id     ...      media_count  private  \\\n",
       "3169       195.98       1   89168579     ...                3        0   \n",
       "3151       182.17       0   90729049     ...                6        0   \n",
       "3090       164.00       1   95781013     ...                8        0   \n",
       "1933       240.00       1  106200307     ...               13        1   \n",
       "1790       215.00       0  106291069     ...                7        0   \n",
       "1071       298.00       0  106595282     ...                7        0   \n",
       "1064       241.00       0  106596584     ...                7        0   \n",
       "2604       115.00       0  105189965     ...                8        0   \n",
       "1385       756.00       1  106495039     ...               12        0   \n",
       "2181       348.00       0  105996967     ...                2        0   \n",
       "3083       350.00       1   96253253     ...               12        0   \n",
       "1752       320.00       0  106315694     ...               17        0   \n",
       "713        340.00       1   57300477     ...               15        1   \n",
       "1980       117.00       0  106174394     ...                7        0   \n",
       "2492       257.00       0  105518230     ...               13        1   \n",
       "1451       120.00       0  106460055     ...                5        0   \n",
       "252        212.42       1  106296522     ...                8        0   \n",
       "3147       120.00       0   91171284     ...                8        0   \n",
       "3055       147.03       1   98023697     ...               10        0   \n",
       "2274       204.00       1  105901612     ...               12        0   \n",
       "623        550.00       1  106245902     ...               11        0   \n",
       "3261       315.00       1   68925463     ...               15        1   \n",
       "2336       156.00       0  105796491     ...               11        0   \n",
       "2232       320.94       0  105941148     ...                3        0   \n",
       "2510       291.39       0  105476421     ...                8        0   \n",
       "1412       245.00       0  106484356     ...                9        0   \n",
       "2037       220.00       1  106129364     ...               28        1   \n",
       "2200       131.47       0  105949718     ...                4        0   \n",
       "825          0.00       1   89388312     ...                8        1   \n",
       "375        179.00       1  106570653     ...               14        0   \n",
       "2036        50.00       0  106129651     ...               12        0   \n",
       "1613       169.00       0  106365380     ...               10        0   \n",
       "1742       111.10       0  106317810     ...                2        0   \n",
       "611        150.67       0  106296679     ...                7        0   \n",
       "1743        88.25       0  106317805     ...                2        0   \n",
       "3166       280.00       0   89349917     ...                6        1   \n",
       "1904       600.00       1  106216844     ...               25        0   \n",
       "2773       450.00       1  104558120     ...               12        0   \n",
       "3186        95.00       0   87475137     ...               16        0   \n",
       "719        109.00       0   85047209     ...               16        0   \n",
       "1153       200.00       0  106574939     ...                5        1   \n",
       "2658        97.00       0  105030507     ...               30        0   \n",
       "3196       267.90       1   85787616     ...                3        0   \n",
       "2494       180.00       1  105511918     ...               10        1   \n",
       "854        177.00       1  106385218     ...                6        1   \n",
       "357        190.00       0  105849682     ...               17        0   \n",
       "739        232.00       0  106596591     ...                0        1   \n",
       "156        141.00       0  106368136     ...                9        1   \n",
       "1526       390.00       1  106418297     ...               18        1   \n",
       "1262       345.00       0  106533126     ...               15        0   \n",
       "139        132.00       0  104927243     ...               30        1   \n",
       "1560       400.00       1  106384388     ...               20        0   \n",
       "906        265.00       0   66633796     ...               12        0   \n",
       "804        320.00       1   85123148     ...                6        1   \n",
       "3276       350.00       0   62407818     ...               14        1   \n",
       "569        240.00       0  106489995     ...               13        0   \n",
       "1656       200.00       1  106350242     ...                4        1   \n",
       "1508       400.00       0  106434786     ...               29        0   \n",
       "2533       150.00       1  105408183     ...               14        1   \n",
       "141        200.00       0   69450128     ...               14        0   \n",
       "\n",
       "         rent  rooms     sqm  \\\n",
       "3169   535.02    2.0   67.04   \n",
       "3151   451.83    1.5   56.62   \n",
       "3090   408.18    1.5   52.68   \n",
       "1933   950.00    4.0  105.00   \n",
       "1790   530.00    2.0   61.01   \n",
       "1071  1048.23    3.0  110.00   \n",
       "1064   868.05    3.0   89.49   \n",
       "2604   570.00    2.0   55.64   \n",
       "1385  1628.00    3.0  148.00   \n",
       "2181  1005.30    3.5  100.53   \n",
       "3083   950.00    3.0   85.00   \n",
       "1752  1099.00    3.0  107.00   \n",
       "713   1400.00    4.0  140.00   \n",
       "1980   495.00    1.0   42.05   \n",
       "2492  1270.00    4.0  124.80   \n",
       "1451   521.54    2.0   49.67   \n",
       "252    900.96    2.0   75.08   \n",
       "3147   450.00    1.0   35.00   \n",
       "3055   606.05    2.0   52.70   \n",
       "2274   795.00    2.0   65.00   \n",
       "623   1180.00    2.0   98.79   \n",
       "3261   910.00    3.0   83.00   \n",
       "2336   590.00    2.5   53.55   \n",
       "2232  1125.81    5.0  106.50   \n",
       "2510   961.92    3.0   88.10   \n",
       "1412   780.00    3.0   70.96   \n",
       "2037   925.43    2.0   79.82   \n",
       "2200   444.82    1.0   35.38   \n",
       "825    350.00    1.0   25.00   \n",
       "375    799.00    2.0   60.00   \n",
       "2036   499.00    1.0   37.65   \n",
       "1613   650.00    2.0   53.00   \n",
       "1742   526.03    1.5   39.93   \n",
       "611    860.40    2.5   71.70   \n",
       "1743   448.87    1.0   31.48   \n",
       "3166  1209.60    4.0  108.00   \n",
       "1904  1775.00    5.0  149.44   \n",
       "2773  1475.37    3.0  118.30   \n",
       "3186   395.00    1.0   19.37   \n",
       "719    520.00    1.0   30.50   \n",
       "1153   600.00    2.0   51.00   \n",
       "2658   800.00    3.0   58.00   \n",
       "3196  1320.04    3.0  105.64   \n",
       "2494   350.00    1.0   20.00   \n",
       "854    820.00    2.0   56.00   \n",
       "357   1110.00    2.5   79.30   \n",
       "739   1206.63    4.0   96.53   \n",
       "156   1128.00    3.0   85.00   \n",
       "1526  1456.00    4.0  112.00   \n",
       "1262  1499.00    4.0  116.60   \n",
       "139   1065.00    3.0   77.00   \n",
       "1560  1596.00    4.0  114.00   \n",
       "906   1141.80    2.0   74.53   \n",
       "804   1395.00    3.0   96.50   \n",
       "3276  1800.00    6.0  147.00   \n",
       "569   1170.00    2.0   69.00   \n",
       "1656  1500.00    3.0  100.00   \n",
       "1508  1900.00    3.0  130.00   \n",
       "2533  1250.00    3.0   71.00   \n",
       "141   1590.00    3.0   86.00   \n",
       "\n",
       "                                                  title  \\\n",
       "3169      WBS erforderlich!!! ruhige Wohnung mit Garten   \n",
       "3151  Wohnen in der Natur! WBS erforderlich! Einbauk...   \n",
       "3090  Bereits modernisierte Wohnung, mit großem Balk...   \n",
       "1933               Ruhige Wohnung in Berlin, Zehlendorf   \n",
       "1790   Helle 2-Zimmerwohnung im Grünen, nahe Wannsee.     \n",
       "1071     +NAHE GRUNEWALD+SONNENBALKON+PARKETT+WOHNKÜCHE   \n",
       "1064    3 Zimmer mit Balkon Nähe Grunewald ab September   \n",
       "2604           Tolle Wohnung in ruhiger Zehlendorf-Lage   \n",
       "1385  WANNSEE : EG-Maisonetten-Wohnung direkt am Kle...   \n",
       "2181  ++Wir renovieren für Sie: Ansprechende 3,5-Zim...   \n",
       "3083  SCHÖNE, HELLE 3-ZIMMERWOHNUNG MIT BALKON IN ZE...   \n",
       "1752  Erstbezug nach Modernisierung! 3-Zimmer-Wohnun...   \n",
       "713   Schöne, geräumige 4Zimmerwohnung im Dachgescho...   \n",
       "1980                 1-Zi-Apartment nahe Schlachtensee    \n",
       "2492  Ansprechende 4-Zimmer-Wohnung zur Miete in Wan...   \n",
       "1451               Sonnenbalkon + Wohnküche, das passt!   \n",
       "252   Helle und sanierte 2 Zimmer-Altbauwohnung in S...   \n",
       "3147  Einzimmerwohnung im Grünen von Zehlendorf - ho...   \n",
       "3055  +++ ACHTUNG +++ NEUBAU RAMSTEINWEG 23 SUCHT NA...   \n",
       "2274           schöne teilmöblierte 2 Zi. in Dahlemlage   \n",
       "623   WANNSEE in Bestlage. : Attr. BALKON-Wohnung di...   \n",
       "3261  3-Zi.-Wohnung mit Terrasse u. Garten in sehr g...   \n",
       "2336  Kleines gemütliches Heim in einer angenehmen S...   \n",
       "2232          Familienfreundlich wohnen in ruhiger Lage   \n",
       "2510                Erstbezug nach Sanierung in Dahlem!   \n",
       "1412  3-Zi-Whg. am Heinrich-Laehr-Park - Besichtigun...   \n",
       "2037       Helle 2-Zimmer-Luxus-Wohnung in ruhiger Lage   \n",
       "2200       Ruhige Seniorenwohnung im schönen Zehlendorf   \n",
       "825             Studenten wohnen wie Gott in Frankreich   \n",
       "375   \"The Metropolitan Gardens\" - Wohnen im Park: K...   \n",
       "2036  Helle 1-Zimmer Wohnung nahe der FU in super La...   \n",
       "1613  Spektakulärer Waldblick an der Krummen Lanke -...   \n",
       "1742                         Wir modernisieren für Sie!   \n",
       "611   Schöne, helle und sanierte 2,5 Zimmer-Altbauwo...   \n",
       "1743                           ***Aus alt mach neu!!***   \n",
       "3166              Zehlendorf, Stadtvilla, DG Maisonette   \n",
       "1904  HOMESK - 5-Zimmer-Maisonette mit Terrasse in i...   \n",
       "2773  3 - Zimmer Wohnung mit Südterrasse in bester L...   \n",
       "3186  Möbliertes, modernes 1-Zi-Appartement ab 01.10...   \n",
       "719   Großes Möbliertes Apartment für Studenten und ...   \n",
       "1153   Schöne zwei Zimmer Wohnung in Berlin, Zehlendorf   \n",
       "2658  Dachgeschoss-Wohnung in Berlin-Zehlendorf fris...   \n",
       "3196  3 Zimmer im EG und Souterrain in begehrter Wes...   \n",
       "2494  1 Zimmer-Wohnung, ca. 20 qm mit Badesteg zum K...   \n",
       "854       Neubau-Wohnung in Dahlem (inkl. EBK & Balkon)   \n",
       "357   Umfassend modernisierte Wohnung mit Einbauküch...   \n",
       "739   Schöne vier Zimmer Wohnung direkt am Grunewald...   \n",
       "156   TRAUMHAFT helle Wohnung, Stuck, Einbauküche, W...   \n",
       "1526  Neuwertige 4-Zimmer-Erdgeschosswohnung mit Sou...   \n",
       "1262  Sanierte 4Zi Wohnung am Dreipfuhlpark mit Balk...   \n",
       "139   TRAUMHAFT helle Wohnung, Stuck, Einbauküche, W...   \n",
       "1560  Chices Wohnen mit netten Nachbarn, 151 m² auf ...   \n",
       "906                      Barrierefreie 2-Zimmer-Wohnung   \n",
       "804        Gehobenes Wohnen im Rhytmus der Jahreszeiten   \n",
       "3276                    Exklusives Wohnen im Baudenkmal   \n",
       "569   Einziehen und Wohlfühlen! Moderne, vollmöblier...   \n",
       "1656    Sehr helle und ruhige 3 Zimmer Wohnung (Neubau)   \n",
       "1508  Top-Dahlem-Lage: Schönes Reihenmittelhaus mit ...   \n",
       "2533              71qm in Dahlem Altbauvilla (möbliert)   \n",
       "141   Toplage!Attraktives Penthouse in einer Stadtvi...   \n",
       "\n",
       "                                                    url  zip_code  \\\n",
       "3169   https://www.immobilienscout24.de/expose/89168579     14129   \n",
       "3151   https://www.immobilienscout24.de/expose/90729049     14129   \n",
       "3090   https://www.immobilienscout24.de/expose/95781013     14167   \n",
       "1933  https://www.immobilienscout24.de/expose/106200307     14167   \n",
       "1790  https://www.immobilienscout24.de/expose/106291069     14109   \n",
       "1071  https://www.immobilienscout24.de/expose/106595282     14169   \n",
       "1064  https://www.immobilienscout24.de/expose/106596584     14169   \n",
       "2604  https://www.immobilienscout24.de/expose/105189965     14163   \n",
       "1385  https://www.immobilienscout24.de/expose/106495039     14109   \n",
       "2181  https://www.immobilienscout24.de/expose/105996967     14163   \n",
       "3083   https://www.immobilienscout24.de/expose/96253253     14169   \n",
       "1752  https://www.immobilienscout24.de/expose/106315694     14109   \n",
       "713    https://www.immobilienscout24.de/expose/57300477     14129   \n",
       "1980  https://www.immobilienscout24.de/expose/106174394     14129   \n",
       "2492  https://www.immobilienscout24.de/expose/105518230     14109   \n",
       "1451  https://www.immobilienscout24.de/expose/106460055     14165   \n",
       "252   https://www.immobilienscout24.de/expose/106296522     14195   \n",
       "3147   https://www.immobilienscout24.de/expose/91171284     14169   \n",
       "3055   https://www.immobilienscout24.de/expose/98023697     14165   \n",
       "2274  https://www.immobilienscout24.de/expose/105901612     14195   \n",
       "623   https://www.immobilienscout24.de/expose/106245902     14109   \n",
       "3261   https://www.immobilienscout24.de/expose/68925463     14169   \n",
       "2336  https://www.immobilienscout24.de/expose/105796491     14165   \n",
       "2232  https://www.immobilienscout24.de/expose/105941148     14195   \n",
       "2510  https://www.immobilienscout24.de/expose/105476421     14195   \n",
       "1412  https://www.immobilienscout24.de/expose/106484356     14167   \n",
       "2037  https://www.immobilienscout24.de/expose/106129364     14167   \n",
       "2200  https://www.immobilienscout24.de/expose/105949718     14163   \n",
       "825    https://www.immobilienscout24.de/expose/89388312     14169   \n",
       "375   https://www.immobilienscout24.de/expose/106570653     14195   \n",
       "2036  https://www.immobilienscout24.de/expose/106129651     14195   \n",
       "1613  https://www.immobilienscout24.de/expose/106365380     14163   \n",
       "1742  https://www.immobilienscout24.de/expose/106317810     14169   \n",
       "611   https://www.immobilienscout24.de/expose/106296679     14195   \n",
       "1743  https://www.immobilienscout24.de/expose/106317805     14169   \n",
       "3166   https://www.immobilienscout24.de/expose/89349917     14169   \n",
       "1904  https://www.immobilienscout24.de/expose/106216844     14109   \n",
       "2773  https://www.immobilienscout24.de/expose/104558120     14195   \n",
       "3186   https://www.immobilienscout24.de/expose/87475137     14195   \n",
       "719    https://www.immobilienscout24.de/expose/85047209     14195   \n",
       "1153  https://www.immobilienscout24.de/expose/106574939     14167   \n",
       "2658  https://www.immobilienscout24.de/expose/105030507     14163   \n",
       "3196   https://www.immobilienscout24.de/expose/85787616     14163   \n",
       "2494  https://www.immobilienscout24.de/expose/105511918     14109   \n",
       "854   https://www.immobilienscout24.de/expose/106385218     14195   \n",
       "357   https://www.immobilienscout24.de/expose/105849682     14167   \n",
       "739   https://www.immobilienscout24.de/expose/106596591     14195   \n",
       "156   https://www.immobilienscout24.de/expose/106368136     14169   \n",
       "1526  https://www.immobilienscout24.de/expose/106418297     14167   \n",
       "1262  https://www.immobilienscout24.de/expose/106533126     14195   \n",
       "139   https://www.immobilienscout24.de/expose/104927243     14169   \n",
       "1560  https://www.immobilienscout24.de/expose/106384388     14129   \n",
       "906    https://www.immobilienscout24.de/expose/66633796     14167   \n",
       "804    https://www.immobilienscout24.de/expose/85123148     14167   \n",
       "3276   https://www.immobilienscout24.de/expose/62407818     14163   \n",
       "569   https://www.immobilienscout24.de/expose/106489995     14169   \n",
       "1656  https://www.immobilienscout24.de/expose/106350242     14169   \n",
       "1508  https://www.immobilienscout24.de/expose/106434786     14195   \n",
       "2533  https://www.immobilienscout24.de/expose/105408183     14195   \n",
       "141    https://www.immobilienscout24.de/expose/69450128     14163   \n",
       "\n",
       "     rent_predicted  rent_error  \n",
       "3169     774.322687 -239.302687  \n",
       "3151     629.757535 -177.927535  \n",
       "3090     574.065009 -165.885009  \n",
       "1933    1065.147978 -115.147978  \n",
       "1790     614.251279  -84.251279  \n",
       "1071    1131.169515  -82.939515  \n",
       "1064     905.880449  -37.830449  \n",
       "2604     602.302764  -32.302764  \n",
       "1385    1642.410666  -14.410666  \n",
       "2181    1010.457592   -5.157592  \n",
       "3083     950.396470   -0.396470  \n",
       "1752    1098.216458    0.783542  \n",
       "713     1396.475338    3.524662  \n",
       "1980     474.230600   20.769400  \n",
       "2492    1248.014875   21.985125  \n",
       "1451     489.688724   31.851276  \n",
       "252      856.549366   44.410634  \n",
       "3147     402.878430   47.121570  \n",
       "3055     557.594590   48.455410  \n",
       "2274     745.827094   49.172906  \n",
       "623     1123.075873   56.924127  \n",
       "3261     850.784925   59.215075  \n",
       "2336     515.617905   74.382095  \n",
       "2232    1050.313913   75.496087  \n",
       "2510     884.524685   77.395315  \n",
       "1412     702.340400   77.659600  \n",
       "2037     837.059869   88.370131  \n",
       "2200     353.927513   90.892487  \n",
       "825      256.102859   93.897141  \n",
       "375      696.992847  102.007153  \n",
       "2036     378.861993  120.138007  \n",
       "1613     526.266617  123.733383  \n",
       "1742     387.216210  138.813790  \n",
       "611      721.071413  139.328587  \n",
       "1743     305.001025  143.868975  \n",
       "3166    1063.477757  146.122243  \n",
       "1904    1615.817765  159.182235  \n",
       "2773    1316.175402  159.194598  \n",
       "3186     231.193004  163.806996  \n",
       "719      353.448845  166.551155  \n",
       "1153     426.655072  173.344928  \n",
       "2658     607.020651  192.979349  \n",
       "3196    1123.988531  196.051469  \n",
       "2494     141.968613  208.031387  \n",
       "854      575.412597  244.587403  \n",
       "357      857.677462  252.322538  \n",
       "739      937.487235  269.142765  \n",
       "156      825.955324  302.044676  \n",
       "1526    1148.125958  307.874042  \n",
       "1262    1182.461056  316.538944  \n",
       "139      738.080505  326.919495  \n",
       "1560    1247.737503  348.262497  \n",
       "906      756.672208  385.127792  \n",
       "804      999.073682  395.926318  \n",
       "3276    1396.332157  403.667843  \n",
       "569      755.141225  414.858775  \n",
       "1656    1037.518915  462.481085  \n",
       "1508    1397.894018  502.105982  \n",
       "2533     712.885184  537.114816  \n",
       "141      920.670030  669.329970  \n",
       "\n",
       "[60 rows x 23 columns]"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top[top[\"district\"].str.contains(\"Zehlendorf\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tpot import TPOTRegressor\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "# reduce the training set for tpot to 10%, otherwise tpot will take a lot of time\n",
    "X_train, _ , y_train, _ = train_test_split(X, y,train_size=0.10, test_size=0.90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: xgboost.XGBRegressor is not available and will not be used by TPOT.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/andi/.local/share/virtualenvs/ImmoSpider-M0SYrQN4/lib/python3.6/site-packages/sklearn/utils/validation.py:578: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n",
      "Optimization Progress:  33%|███▎      | 40/120 [04:38<08:21,  6.27s/pipeline]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generation 1 - Current best internal CV score: 0.798568751396417\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Optimization Progress:  50%|█████     | 60/120 [07:09<13:03, 13.06s/pipeline]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generation 2 - Current best internal CV score: 0.798568751396417\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Optimization Progress:  67%|██████▋   | 80/120 [09:18<02:04,  3.12s/pipeline]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generation 3 - Current best internal CV score: 0.8209218944357476\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Optimization Progress:  83%|████████▎ | 100/120 [10:49<01:33,  4.69s/pipeline]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generation 4 - Current best internal CV score: 0.8215888652967465\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                              \r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generation 5 - Current best internal CV score: 0.8215888652967465\n",
      "\n",
      "Best pipeline: KNeighborsRegressor(RidgeCV(input_matrix), n_neighbors=40, p=2, weights=distance)\n",
      "0.46449375770157664\n"
     ]
    }
   ],
   "source": [
    "tpot = TPOTRegressor(generations=5, population_size=20, verbosity=2, scoring=\"r2\")\n",
    "tpot.fit(X_train, y_train)\n",
    "print(tpot.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.46449375770157664"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred = tpot.predict(X_test)\n",
    "r2_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/andi/.local/share/virtualenvs/ImmoSpider-M0SYrQN4/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n",
      "/Users/andi/.local/share/virtualenvs/ImmoSpider-M0SYrQN4/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "df3_test[\"rent_predicted2\"] = y_pred\n",
    "df3_test[\"rent_error2\"] = df3_test[\"rent\"] - df3_test[\"rent_predicted2\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "top = df3_test.sort_values(\"rent_error2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\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>address</th>\n",
       "      <th>area</th>\n",
       "      <th>balcony</th>\n",
       "      <th>cellar</th>\n",
       "      <th>city</th>\n",
       "      <th>contact_name</th>\n",
       "      <th>district</th>\n",
       "      <th>extra_costs</th>\n",
       "      <th>garden</th>\n",
       "      <th>immo_id</th>\n",
       "      <th>...</th>\n",
       "      <th>rent</th>\n",
       "      <th>rooms</th>\n",
       "      <th>sqm</th>\n",
       "      <th>title</th>\n",
       "      <th>url</th>\n",
       "      <th>zip_code</th>\n",
       "      <th>rent_predicted</th>\n",
       "      <th>rent_error</th>\n",
       "      <th>rent_predicted2</th>\n",
       "      <th>rent_error2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1933</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Philipp Vormeier</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>240.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106200307</td>\n",
       "      <td>...</td>\n",
       "      <td>950.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>105.00</td>\n",
       "      <td>Ruhige Wohnung in Berlin, Zehlendorf</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106200307</td>\n",
       "      <td>14167</td>\n",
       "      <td>1065.147978</td>\n",
       "      <td>-115.147978</td>\n",
       "      <td>1260.052699</td>\n",
       "      <td>-310.052699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3169</th>\n",
       "      <td>Von-der-Trenck-Straße 5 A</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Wohnbau Service Bonn GmbH Service Team</td>\n",
       "      <td>Nikolassee (Zehlendorf)</td>\n",
       "      <td>195.98</td>\n",
       "      <td>1</td>\n",
       "      <td>89168579</td>\n",
       "      <td>...</td>\n",
       "      <td>535.02</td>\n",
       "      <td>2.0</td>\n",
       "      <td>67.04</td>\n",
       "      <td>WBS erforderlich!!! ruhige Wohnung mit Garten</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/89168579</td>\n",
       "      <td>14129</td>\n",
       "      <td>774.322687</td>\n",
       "      <td>-239.302687</td>\n",
       "      <td>802.642642</td>\n",
       "      <td>-267.622642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3090</th>\n",
       "      <td>Alsterweg 53</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Dave  Felgenhauer</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>164.00</td>\n",
       "      <td>1</td>\n",
       "      <td>95781013</td>\n",
       "      <td>...</td>\n",
       "      <td>408.18</td>\n",
       "      <td>1.5</td>\n",
       "      <td>52.68</td>\n",
       "      <td>Bereits modernisierte Wohnung, mit großem Balk...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/95781013</td>\n",
       "      <td>14167</td>\n",
       "      <td>574.065009</td>\n",
       "      <td>-165.885009</td>\n",
       "      <td>591.347406</td>\n",
       "      <td>-183.167406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3151</th>\n",
       "      <td>Von-der-Trenck-Straße 3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Wohnbau Service Bonn GmbH Service Team</td>\n",
       "      <td>Nikolassee (Zehlendorf)</td>\n",
       "      <td>182.17</td>\n",
       "      <td>0</td>\n",
       "      <td>90729049</td>\n",
       "      <td>...</td>\n",
       "      <td>451.83</td>\n",
       "      <td>1.5</td>\n",
       "      <td>56.62</td>\n",
       "      <td>Wohnen in der Natur! WBS erforderlich! Einbauk...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/90729049</td>\n",
       "      <td>14129</td>\n",
       "      <td>629.757535</td>\n",
       "      <td>-177.927535</td>\n",
       "      <td>634.260168</td>\n",
       "      <td>-182.430168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1071</th>\n",
       "      <td>Marshallstr. 9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>GmbH PRINTS</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>298.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106595282</td>\n",
       "      <td>...</td>\n",
       "      <td>1048.23</td>\n",
       "      <td>3.0</td>\n",
       "      <td>110.00</td>\n",
       "      <td>+NAHE GRUNEWALD+SONNENBALKON+PARKETT+WOHNKÜCHE</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106595282</td>\n",
       "      <td>14169</td>\n",
       "      <td>1131.169515</td>\n",
       "      <td>-82.939515</td>\n",
       "      <td>1215.975747</td>\n",
       "      <td>-167.745747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2492</th>\n",
       "      <td>Hugo Vogel Straße 6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Achim Emde</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>257.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105518230</td>\n",
       "      <td>...</td>\n",
       "      <td>1270.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>124.80</td>\n",
       "      <td>Ansprechende 4-Zimmer-Wohnung zur Miete in Wan...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105518230</td>\n",
       "      <td>14109</td>\n",
       "      <td>1248.014875</td>\n",
       "      <td>21.985125</td>\n",
       "      <td>1424.893534</td>\n",
       "      <td>-154.893534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1385</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Ralph Wodrich</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>756.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106495039</td>\n",
       "      <td>...</td>\n",
       "      <td>1628.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>148.00</td>\n",
       "      <td>WANNSEE : EG-Maisonetten-Wohnung direkt am Kle...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106495039</td>\n",
       "      <td>14109</td>\n",
       "      <td>1642.410666</td>\n",
       "      <td>-14.410666</td>\n",
       "      <td>1734.694538</td>\n",
       "      <td>-106.694538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1790</th>\n",
       "      <td>Am Sandwerder 24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Jörg-M. Meier</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>215.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106291069</td>\n",
       "      <td>...</td>\n",
       "      <td>530.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>61.01</td>\n",
       "      <td>Helle 2-Zimmerwohnung im Grünen, nahe Wannsee.</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106291069</td>\n",
       "      <td>14109</td>\n",
       "      <td>614.251279</td>\n",
       "      <td>-84.251279</td>\n",
       "      <td>629.856273</td>\n",
       "      <td>-99.856273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3261</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>G. Schmidt</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>315.00</td>\n",
       "      <td>1</td>\n",
       "      <td>68925463</td>\n",
       "      <td>...</td>\n",
       "      <td>910.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>83.00</td>\n",
       "      <td>3-Zi.-Wohnung mit Terrasse u. Garten in sehr g...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/68925463</td>\n",
       "      <td>14169</td>\n",
       "      <td>850.784925</td>\n",
       "      <td>59.215075</td>\n",
       "      <td>1005.441058</td>\n",
       "      <td>-95.441058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2181</th>\n",
       "      <td>Starkenburger Str. 3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Yvonne Fuchs</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>348.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105996967</td>\n",
       "      <td>...</td>\n",
       "      <td>1005.30</td>\n",
       "      <td>3.5</td>\n",
       "      <td>100.53</td>\n",
       "      <td>++Wir renovieren für Sie: Ansprechende 3,5-Zim...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105996967</td>\n",
       "      <td>14163</td>\n",
       "      <td>1010.457592</td>\n",
       "      <td>-5.157592</td>\n",
       "      <td>1096.988452</td>\n",
       "      <td>-91.688452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>825</th>\n",
       "      <td>Riemeisterstraße 4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Nils Bock</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>89388312</td>\n",
       "      <td>...</td>\n",
       "      <td>350.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>25.00</td>\n",
       "      <td>Studenten wohnen wie Gott in Frankreich</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/89388312</td>\n",
       "      <td>14169</td>\n",
       "      <td>256.102859</td>\n",
       "      <td>93.897141</td>\n",
       "      <td>433.109380</td>\n",
       "      <td>-83.109380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>713</th>\n",
       "      <td>Potsdamer Chaussee 26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Mirko Neumann</td>\n",
       "      <td>Nikolassee (Zehlendorf)</td>\n",
       "      <td>340.00</td>\n",
       "      <td>1</td>\n",
       "      <td>57300477</td>\n",
       "      <td>...</td>\n",
       "      <td>1400.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>140.00</td>\n",
       "      <td>Schöne, geräumige 4Zimmerwohnung im Dachgescho...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/57300477</td>\n",
       "      <td>14129</td>\n",
       "      <td>1396.475338</td>\n",
       "      <td>3.524662</td>\n",
       "      <td>1459.929540</td>\n",
       "      <td>-59.929540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2604</th>\n",
       "      <td>Düppelstr. 19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>115.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105189965</td>\n",
       "      <td>...</td>\n",
       "      <td>570.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>55.64</td>\n",
       "      <td>Tolle Wohnung in ruhiger Zehlendorf-Lage</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105189965</td>\n",
       "      <td>14163</td>\n",
       "      <td>602.302764</td>\n",
       "      <td>-32.302764</td>\n",
       "      <td>629.408644</td>\n",
       "      <td>-59.408644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3166</th>\n",
       "      <td>Clayallee 311</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Anne Gärtner</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>280.00</td>\n",
       "      <td>0</td>\n",
       "      <td>89349917</td>\n",
       "      <td>...</td>\n",
       "      <td>1209.60</td>\n",
       "      <td>4.0</td>\n",
       "      <td>108.00</td>\n",
       "      <td>Zehlendorf, Stadtvilla, DG Maisonette</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/89349917</td>\n",
       "      <td>14169</td>\n",
       "      <td>1063.477757</td>\n",
       "      <td>146.122243</td>\n",
       "      <td>1265.753563</td>\n",
       "      <td>-56.153563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2037</th>\n",
       "      <td>Hammerstraße, 42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>220.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106129364</td>\n",
       "      <td>...</td>\n",
       "      <td>925.43</td>\n",
       "      <td>2.0</td>\n",
       "      <td>79.82</td>\n",
       "      <td>Helle 2-Zimmer-Luxus-Wohnung in ruhiger Lage</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106129364</td>\n",
       "      <td>14167</td>\n",
       "      <td>837.059869</td>\n",
       "      <td>88.370131</td>\n",
       "      <td>955.697621</td>\n",
       "      <td>-30.267621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1064</th>\n",
       "      <td>Pritchardstraße 13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Axel Pfeiffer</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>241.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106596584</td>\n",
       "      <td>...</td>\n",
       "      <td>868.05</td>\n",
       "      <td>3.0</td>\n",
       "      <td>89.49</td>\n",
       "      <td>3 Zimmer mit Balkon Nähe Grunewald ab September</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106596584</td>\n",
       "      <td>14169</td>\n",
       "      <td>905.880449</td>\n",
       "      <td>-37.830449</td>\n",
       "      <td>885.648723</td>\n",
       "      <td>-17.598723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>623</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Ralph Wodrich</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>550.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106245902</td>\n",
       "      <td>...</td>\n",
       "      <td>1180.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>98.79</td>\n",
       "      <td>WANNSEE in Bestlage. : Attr. BALKON-Wohnung di...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106245902</td>\n",
       "      <td>14109</td>\n",
       "      <td>1123.075873</td>\n",
       "      <td>56.924127</td>\n",
       "      <td>1197.245279</td>\n",
       "      <td>-17.245279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3147</th>\n",
       "      <td>Mörchinger Str. 25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>120.00</td>\n",
       "      <td>0</td>\n",
       "      <td>91171284</td>\n",
       "      <td>...</td>\n",
       "      <td>450.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.00</td>\n",
       "      <td>Einzimmerwohnung im Grünen von Zehlendorf - ho...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/91171284</td>\n",
       "      <td>14169</td>\n",
       "      <td>402.878430</td>\n",
       "      <td>47.121570</td>\n",
       "      <td>454.560786</td>\n",
       "      <td>-4.560786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1451</th>\n",
       "      <td>Breitensteinweg 10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Julia Ziglowski</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>120.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106460055</td>\n",
       "      <td>...</td>\n",
       "      <td>521.54</td>\n",
       "      <td>2.0</td>\n",
       "      <td>49.67</td>\n",
       "      <td>Sonnenbalkon + Wohnküche, das passt!</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106460055</td>\n",
       "      <td>14165</td>\n",
       "      <td>489.688724</td>\n",
       "      <td>31.851276</td>\n",
       "      <td>518.242532</td>\n",
       "      <td>3.297468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3083</th>\n",
       "      <td>Albertinenstr. 12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>BITTE NUR PER EMAIL WGW Hausverwaltung GmbH</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>350.00</td>\n",
       "      <td>1</td>\n",
       "      <td>96253253</td>\n",
       "      <td>...</td>\n",
       "      <td>950.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>85.00</td>\n",
       "      <td>SCHÖNE, HELLE 3-ZIMMERWOHNUNG MIT BALKON IN ZE...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/96253253</td>\n",
       "      <td>14169</td>\n",
       "      <td>950.396470</td>\n",
       "      <td>-0.396470</td>\n",
       "      <td>936.127064</td>\n",
       "      <td>13.872936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2494</th>\n",
       "      <td>Königsstr. 67a</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Dr. Christian Schölzel</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>180.00</td>\n",
       "      <td>1</td>\n",
       "      <td>105511918</td>\n",
       "      <td>...</td>\n",
       "      <td>350.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>20.00</td>\n",
       "      <td>1 Zimmer-Wohnung, ca. 20 qm mit Badesteg zum K...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105511918</td>\n",
       "      <td>14109</td>\n",
       "      <td>141.968613</td>\n",
       "      <td>208.031387</td>\n",
       "      <td>335.170410</td>\n",
       "      <td>14.829590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2200</th>\n",
       "      <td>Beerenstr. 11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Pamela Wunsch</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>131.47</td>\n",
       "      <td>0</td>\n",
       "      <td>105949718</td>\n",
       "      <td>...</td>\n",
       "      <td>444.82</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.38</td>\n",
       "      <td>Ruhige Seniorenwohnung im schönen Zehlendorf</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105949718</td>\n",
       "      <td>14163</td>\n",
       "      <td>353.927513</td>\n",
       "      <td>90.892487</td>\n",
       "      <td>420.942562</td>\n",
       "      <td>23.877438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3055</th>\n",
       "      <td>Ramsteinweg 23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Dennis Hirschberg</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>147.03</td>\n",
       "      <td>1</td>\n",
       "      <td>98023697</td>\n",
       "      <td>...</td>\n",
       "      <td>606.05</td>\n",
       "      <td>2.0</td>\n",
       "      <td>52.70</td>\n",
       "      <td>+++ ACHTUNG +++ NEUBAU RAMSTEINWEG 23 SUCHT NA...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/98023697</td>\n",
       "      <td>14165</td>\n",
       "      <td>557.594590</td>\n",
       "      <td>48.455410</td>\n",
       "      <td>574.921206</td>\n",
       "      <td>31.128794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1752</th>\n",
       "      <td>Sangebuchtweg 11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>320.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106315694</td>\n",
       "      <td>...</td>\n",
       "      <td>1099.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>107.00</td>\n",
       "      <td>Erstbezug nach Modernisierung! 3-Zimmer-Wohnun...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106315694</td>\n",
       "      <td>14109</td>\n",
       "      <td>1098.216458</td>\n",
       "      <td>0.783542</td>\n",
       "      <td>1061.379450</td>\n",
       "      <td>37.620550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980</th>\n",
       "      <td>Breisgauer Str. 4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nikolassee (Zehlendorf)</td>\n",
       "      <td>117.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106174394</td>\n",
       "      <td>...</td>\n",
       "      <td>495.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>42.05</td>\n",
       "      <td>1-Zi-Apartment nahe Schlachtensee</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106174394</td>\n",
       "      <td>14129</td>\n",
       "      <td>474.230600</td>\n",
       "      <td>20.769400</td>\n",
       "      <td>454.515762</td>\n",
       "      <td>40.484238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1412</th>\n",
       "      <td>Dahlemer Weg 223</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Möller Nadine</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>245.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106484356</td>\n",
       "      <td>...</td>\n",
       "      <td>780.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>70.96</td>\n",
       "      <td>3-Zi-Whg. am Heinrich-Laehr-Park - Besichtigun...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106484356</td>\n",
       "      <td>14167</td>\n",
       "      <td>702.340400</td>\n",
       "      <td>77.659600</td>\n",
       "      <td>739.295399</td>\n",
       "      <td>40.704601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2773</th>\n",
       "      <td>Podbielskiallee 40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Claudia von Zitzewitz</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>450.00</td>\n",
       "      <td>1</td>\n",
       "      <td>104558120</td>\n",
       "      <td>...</td>\n",
       "      <td>1475.37</td>\n",
       "      <td>3.0</td>\n",
       "      <td>118.30</td>\n",
       "      <td>3 - Zimmer Wohnung mit Südterrasse in bester L...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/104558120</td>\n",
       "      <td>14195</td>\n",
       "      <td>1316.175402</td>\n",
       "      <td>159.194598</td>\n",
       "      <td>1433.912052</td>\n",
       "      <td>41.457948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3186</th>\n",
       "      <td>Königin-Luise-Str. 5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>95.00</td>\n",
       "      <td>0</td>\n",
       "      <td>87475137</td>\n",
       "      <td>...</td>\n",
       "      <td>395.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>19.37</td>\n",
       "      <td>Möbliertes, modernes 1-Zi-Appartement ab 01.10...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/87475137</td>\n",
       "      <td>14195</td>\n",
       "      <td>231.193004</td>\n",
       "      <td>163.806996</td>\n",
       "      <td>353.431037</td>\n",
       "      <td>41.568963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>Spilstraße 10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>212.42</td>\n",
       "      <td>1</td>\n",
       "      <td>106296522</td>\n",
       "      <td>...</td>\n",
       "      <td>900.96</td>\n",
       "      <td>2.0</td>\n",
       "      <td>75.08</td>\n",
       "      <td>Helle und sanierte 2 Zimmer-Altbauwohnung in S...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106296522</td>\n",
       "      <td>14195</td>\n",
       "      <td>856.549366</td>\n",
       "      <td>44.410634</td>\n",
       "      <td>858.729302</td>\n",
       "      <td>42.230698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>Saargemünder Straße  27 b</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sybille Löffelbein</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>179.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106570653</td>\n",
       "      <td>...</td>\n",
       "      <td>799.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>60.00</td>\n",
       "      <td>\"The Metropolitan Gardens\" - Wohnen im Park: K...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106570653</td>\n",
       "      <td>14195</td>\n",
       "      <td>696.992847</td>\n",
       "      <td>102.007153</td>\n",
       "      <td>749.583324</td>\n",
       "      <td>49.416676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1904</th>\n",
       "      <td>Lange Stüclen 7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>600.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106216844</td>\n",
       "      <td>...</td>\n",
       "      <td>1775.00</td>\n",
       "      <td>5.0</td>\n",
       "      <td>149.44</td>\n",
       "      <td>HOMESK - 5-Zimmer-Maisonette mit Terrasse in i...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106216844</td>\n",
       "      <td>14109</td>\n",
       "      <td>1615.817765</td>\n",
       "      <td>159.182235</td>\n",
       "      <td>1722.101715</td>\n",
       "      <td>52.898285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2336</th>\n",
       "      <td>Hocksteinweg 17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Alexandra Nepomnyashcha</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>156.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105796491</td>\n",
       "      <td>...</td>\n",
       "      <td>590.00</td>\n",
       "      <td>2.5</td>\n",
       "      <td>53.55</td>\n",
       "      <td>Kleines gemütliches Heim in einer angenehmen S...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105796491</td>\n",
       "      <td>14165</td>\n",
       "      <td>515.617905</td>\n",
       "      <td>74.382095</td>\n",
       "      <td>520.540860</td>\n",
       "      <td>69.459140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2232</th>\n",
       "      <td>Taylorstr. 9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Stephanie Schulze</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>320.94</td>\n",
       "      <td>0</td>\n",
       "      <td>105941148</td>\n",
       "      <td>...</td>\n",
       "      <td>1125.81</td>\n",
       "      <td>5.0</td>\n",
       "      <td>106.50</td>\n",
       "      <td>Familienfreundlich wohnen in ruhiger Lage</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105941148</td>\n",
       "      <td>14195</td>\n",
       "      <td>1050.313913</td>\n",
       "      <td>75.496087</td>\n",
       "      <td>1056.003654</td>\n",
       "      <td>69.806346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1153</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>200.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106574939</td>\n",
       "      <td>...</td>\n",
       "      <td>600.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>51.00</td>\n",
       "      <td>Schöne zwei Zimmer Wohnung in Berlin, Zehlendorf</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106574939</td>\n",
       "      <td>14167</td>\n",
       "      <td>426.655072</td>\n",
       "      <td>173.344928</td>\n",
       "      <td>518.510297</td>\n",
       "      <td>81.489703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2036</th>\n",
       "      <td>Habelschwerdter Allee 1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Dennis Altinok</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>50.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106129651</td>\n",
       "      <td>...</td>\n",
       "      <td>499.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.65</td>\n",
       "      <td>Helle 1-Zimmer Wohnung nahe der FU in super La...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106129651</td>\n",
       "      <td>14195</td>\n",
       "      <td>378.861993</td>\n",
       "      <td>120.138007</td>\n",
       "      <td>416.737225</td>\n",
       "      <td>82.262775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1743</th>\n",
       "      <td>Mörchinger Str. 59</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Rayk Welke</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>88.25</td>\n",
       "      <td>0</td>\n",
       "      <td>106317805</td>\n",
       "      <td>...</td>\n",
       "      <td>448.87</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.48</td>\n",
       "      <td>***Aus alt mach neu!!***</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106317805</td>\n",
       "      <td>14169</td>\n",
       "      <td>305.001025</td>\n",
       "      <td>143.868975</td>\n",
       "      <td>366.270552</td>\n",
       "      <td>82.599448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2274</th>\n",
       "      <td>Podbielskiallee 68</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Markus Krause</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>204.00</td>\n",
       "      <td>1</td>\n",
       "      <td>105901612</td>\n",
       "      <td>...</td>\n",
       "      <td>795.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>65.00</td>\n",
       "      <td>schöne teilmöblierte 2 Zi. in Dahlemlage</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105901612</td>\n",
       "      <td>14195</td>\n",
       "      <td>745.827094</td>\n",
       "      <td>49.172906</td>\n",
       "      <td>706.101033</td>\n",
       "      <td>88.898967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>719</th>\n",
       "      <td>Königin-Luise-Straße 5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Karl-Heinz Jettinger</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>109.00</td>\n",
       "      <td>0</td>\n",
       "      <td>85047209</td>\n",
       "      <td>...</td>\n",
       "      <td>520.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>30.50</td>\n",
       "      <td>Großes Möbliertes Apartment für Studenten und ...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/85047209</td>\n",
       "      <td>14195</td>\n",
       "      <td>353.448845</td>\n",
       "      <td>166.551155</td>\n",
       "      <td>419.178517</td>\n",
       "      <td>100.821483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3196</th>\n",
       "      <td>Glockenstraße 2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Gerd Plensky</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>267.90</td>\n",
       "      <td>1</td>\n",
       "      <td>85787616</td>\n",
       "      <td>...</td>\n",
       "      <td>1320.04</td>\n",
       "      <td>3.0</td>\n",
       "      <td>105.64</td>\n",
       "      <td>3 Zimmer im EG und Souterrain in begehrter Wes...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/85787616</td>\n",
       "      <td>14163</td>\n",
       "      <td>1123.988531</td>\n",
       "      <td>196.051469</td>\n",
       "      <td>1217.931447</td>\n",
       "      <td>102.108553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1742</th>\n",
       "      <td>Mörchinger Str. 63</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Rayk Welke</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>111.10</td>\n",
       "      <td>0</td>\n",
       "      <td>106317810</td>\n",
       "      <td>...</td>\n",
       "      <td>526.03</td>\n",
       "      <td>1.5</td>\n",
       "      <td>39.93</td>\n",
       "      <td>Wir modernisieren für Sie!</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106317810</td>\n",
       "      <td>14169</td>\n",
       "      <td>387.216210</td>\n",
       "      <td>138.813790</td>\n",
       "      <td>407.045002</td>\n",
       "      <td>118.984998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1526</th>\n",
       "      <td>Hampsteadstraße 33</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Thomas Nölle</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>390.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106418297</td>\n",
       "      <td>...</td>\n",
       "      <td>1456.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>112.00</td>\n",
       "      <td>Neuwertige 4-Zimmer-Erdgeschosswohnung mit Sou...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106418297</td>\n",
       "      <td>14167</td>\n",
       "      <td>1148.125958</td>\n",
       "      <td>307.874042</td>\n",
       "      <td>1331.687891</td>\n",
       "      <td>124.312109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2510</th>\n",
       "      <td>Taylorstr. 15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Stephanie Schulze</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>291.39</td>\n",
       "      <td>0</td>\n",
       "      <td>105476421</td>\n",
       "      <td>...</td>\n",
       "      <td>961.92</td>\n",
       "      <td>3.0</td>\n",
       "      <td>88.10</td>\n",
       "      <td>Erstbezug nach Sanierung in Dahlem!</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105476421</td>\n",
       "      <td>14195</td>\n",
       "      <td>884.524685</td>\n",
       "      <td>77.395315</td>\n",
       "      <td>835.823806</td>\n",
       "      <td>126.096194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1613</th>\n",
       "      <td>Eschershauser Weg 29f</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sabine  Rösel</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>169.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106365380</td>\n",
       "      <td>...</td>\n",
       "      <td>650.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>53.00</td>\n",
       "      <td>Spektakulärer Waldblick an der Krummen Lanke -...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106365380</td>\n",
       "      <td>14163</td>\n",
       "      <td>526.266617</td>\n",
       "      <td>123.733383</td>\n",
       "      <td>517.658254</td>\n",
       "      <td>132.341746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>611</th>\n",
       "      <td>Schorlemer Allee 3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>150.67</td>\n",
       "      <td>0</td>\n",
       "      <td>106296679</td>\n",
       "      <td>...</td>\n",
       "      <td>860.40</td>\n",
       "      <td>2.5</td>\n",
       "      <td>71.70</td>\n",
       "      <td>Schöne, helle und sanierte 2,5 Zimmer-Altbauwo...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106296679</td>\n",
       "      <td>14195</td>\n",
       "      <td>721.071413</td>\n",
       "      <td>139.328587</td>\n",
       "      <td>725.105191</td>\n",
       "      <td>135.294809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>739</th>\n",
       "      <td>Flanaganstrasse 20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Stefan Hainzl</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>232.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106596591</td>\n",
       "      <td>...</td>\n",
       "      <td>1206.63</td>\n",
       "      <td>4.0</td>\n",
       "      <td>96.53</td>\n",
       "      <td>Schöne vier Zimmer Wohnung direkt am Grunewald...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106596591</td>\n",
       "      <td>14195</td>\n",
       "      <td>937.487235</td>\n",
       "      <td>269.142765</td>\n",
       "      <td>1070.342618</td>\n",
       "      <td>136.287382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>854</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Leon Karsten</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>177.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106385218</td>\n",
       "      <td>...</td>\n",
       "      <td>820.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>56.00</td>\n",
       "      <td>Neubau-Wohnung in Dahlem (inkl. EBK &amp; Balkon)</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106385218</td>\n",
       "      <td>14195</td>\n",
       "      <td>575.412597</td>\n",
       "      <td>244.587403</td>\n",
       "      <td>673.233478</td>\n",
       "      <td>146.766522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2658</th>\n",
       "      <td>Potsdamer Straße 38</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sascha Lobeck</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>97.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105030507</td>\n",
       "      <td>...</td>\n",
       "      <td>800.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>58.00</td>\n",
       "      <td>Dachgeschoss-Wohnung in Berlin-Zehlendorf fris...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105030507</td>\n",
       "      <td>14163</td>\n",
       "      <td>607.020651</td>\n",
       "      <td>192.979349</td>\n",
       "      <td>628.095894</td>\n",
       "      <td>171.904106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1262</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Franz Du Chesne</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>345.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106533126</td>\n",
       "      <td>...</td>\n",
       "      <td>1499.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>116.60</td>\n",
       "      <td>Sanierte 4Zi Wohnung am Dreipfuhlpark mit Balk...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106533126</td>\n",
       "      <td>14195</td>\n",
       "      <td>1182.461056</td>\n",
       "      <td>316.538944</td>\n",
       "      <td>1280.065191</td>\n",
       "      <td>218.934809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>Berliner Straße 12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Michael Röder</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>141.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106368136</td>\n",
       "      <td>...</td>\n",
       "      <td>1128.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>85.00</td>\n",
       "      <td>TRAUMHAFT helle Wohnung, Stuck, Einbauküche, W...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106368136</td>\n",
       "      <td>14169</td>\n",
       "      <td>825.955324</td>\n",
       "      <td>302.044676</td>\n",
       "      <td>901.894797</td>\n",
       "      <td>226.105203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1560</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Felicitas Rennert</td>\n",
       "      <td>Nikolassee (Zehlendorf)</td>\n",
       "      <td>400.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106384388</td>\n",
       "      <td>...</td>\n",
       "      <td>1596.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>114.00</td>\n",
       "      <td>Chices Wohnen mit netten Nachbarn, 151 m² auf ...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106384388</td>\n",
       "      <td>14129</td>\n",
       "      <td>1247.737503</td>\n",
       "      <td>348.262497</td>\n",
       "      <td>1356.174413</td>\n",
       "      <td>239.825587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>Brettnacher Straße 21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Marc Zellner</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>190.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105849682</td>\n",
       "      <td>...</td>\n",
       "      <td>1110.00</td>\n",
       "      <td>2.5</td>\n",
       "      <td>79.30</td>\n",
       "      <td>Umfassend modernisierte Wohnung mit Einbauküch...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105849682</td>\n",
       "      <td>14167</td>\n",
       "      <td>857.677462</td>\n",
       "      <td>252.322538</td>\n",
       "      <td>849.797722</td>\n",
       "      <td>260.202278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3276</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>350.00</td>\n",
       "      <td>0</td>\n",
       "      <td>62407818</td>\n",
       "      <td>...</td>\n",
       "      <td>1800.00</td>\n",
       "      <td>6.0</td>\n",
       "      <td>147.00</td>\n",
       "      <td>Exklusives Wohnen im Baudenkmal</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/62407818</td>\n",
       "      <td>14163</td>\n",
       "      <td>1396.332157</td>\n",
       "      <td>403.667843</td>\n",
       "      <td>1531.081185</td>\n",
       "      <td>268.918815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>804</th>\n",
       "      <td>Lutterbacher Str. 22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Bernhard Reiter</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>320.00</td>\n",
       "      <td>1</td>\n",
       "      <td>85123148</td>\n",
       "      <td>...</td>\n",
       "      <td>1395.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>96.50</td>\n",
       "      <td>Gehobenes Wohnen im Rhytmus der Jahreszeiten</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/85123148</td>\n",
       "      <td>14167</td>\n",
       "      <td>999.073682</td>\n",
       "      <td>395.926318</td>\n",
       "      <td>1121.535427</td>\n",
       "      <td>273.464573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>Berliner Straße 12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Thierry Dubois</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>132.00</td>\n",
       "      <td>0</td>\n",
       "      <td>104927243</td>\n",
       "      <td>...</td>\n",
       "      <td>1065.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>77.00</td>\n",
       "      <td>TRAUMHAFT helle Wohnung, Stuck, Einbauküche, W...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/104927243</td>\n",
       "      <td>14169</td>\n",
       "      <td>738.080505</td>\n",
       "      <td>326.919495</td>\n",
       "      <td>772.676235</td>\n",
       "      <td>292.323765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1656</th>\n",
       "      <td>Charlottenburger Straße 6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Lars Thieme</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>200.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106350242</td>\n",
       "      <td>...</td>\n",
       "      <td>1500.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>Sehr helle und ruhige 3 Zimmer Wohnung (Neubau)</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106350242</td>\n",
       "      <td>14169</td>\n",
       "      <td>1037.518915</td>\n",
       "      <td>462.481085</td>\n",
       "      <td>1202.181512</td>\n",
       "      <td>297.818488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>906</th>\n",
       "      <td>Teltower Damm 203 B</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>265.00</td>\n",
       "      <td>0</td>\n",
       "      <td>66633796</td>\n",
       "      <td>...</td>\n",
       "      <td>1141.80</td>\n",
       "      <td>2.0</td>\n",
       "      <td>74.53</td>\n",
       "      <td>Barrierefreie 2-Zimmer-Wohnung</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/66633796</td>\n",
       "      <td>14167</td>\n",
       "      <td>756.672208</td>\n",
       "      <td>385.127792</td>\n",
       "      <td>708.356545</td>\n",
       "      <td>433.443455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2533</th>\n",
       "      <td>Goßlerstraße 15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>150.00</td>\n",
       "      <td>1</td>\n",
       "      <td>105408183</td>\n",
       "      <td>...</td>\n",
       "      <td>1250.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>71.00</td>\n",
       "      <td>71qm in Dahlem Altbauvilla (möbliert)</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105408183</td>\n",
       "      <td>14195</td>\n",
       "      <td>712.885184</td>\n",
       "      <td>537.114816</td>\n",
       "      <td>802.250537</td>\n",
       "      <td>447.749463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>Sundgauer Straße  .</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sandra Smarslik</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>240.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106489995</td>\n",
       "      <td>...</td>\n",
       "      <td>1170.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>69.00</td>\n",
       "      <td>Einziehen und Wohlfühlen! Moderne, vollmöblier...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106489995</td>\n",
       "      <td>14169</td>\n",
       "      <td>755.141225</td>\n",
       "      <td>414.858775</td>\n",
       "      <td>708.755624</td>\n",
       "      <td>461.244376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1508</th>\n",
       "      <td>Am Hirschsprung 59 C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Reinhard Timm e. K.</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>400.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106434786</td>\n",
       "      <td>...</td>\n",
       "      <td>1900.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>130.00</td>\n",
       "      <td>Top-Dahlem-Lage: Schönes Reihenmittelhaus mit ...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106434786</td>\n",
       "      <td>14195</td>\n",
       "      <td>1397.894018</td>\n",
       "      <td>502.105982</td>\n",
       "      <td>1402.905561</td>\n",
       "      <td>497.094439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Kleiststraße 30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Uwe Peschel</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>200.00</td>\n",
       "      <td>0</td>\n",
       "      <td>69450128</td>\n",
       "      <td>...</td>\n",
       "      <td>1590.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>86.00</td>\n",
       "      <td>Toplage!Attraktives Penthouse in einer Stadtvi...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/69450128</td>\n",
       "      <td>14163</td>\n",
       "      <td>920.670030</td>\n",
       "      <td>669.329970</td>\n",
       "      <td>965.793145</td>\n",
       "      <td>624.206855</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>60 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        address  area  balcony  cellar    city  \\\n",
       "1933                        NaN   NaN        0     NaN  Berlin   \n",
       "3169  Von-der-Trenck-Straße 5 A   NaN        1     NaN  Berlin   \n",
       "3090               Alsterweg 53   NaN        1     NaN  Berlin   \n",
       "3151    Von-der-Trenck-Straße 3   NaN        1     NaN  Berlin   \n",
       "1071             Marshallstr. 9   NaN        1     NaN  Berlin   \n",
       "2492        Hugo Vogel Straße 6   NaN        1     NaN  Berlin   \n",
       "1385                        NaN   NaN        1     NaN  Berlin   \n",
       "1790           Am Sandwerder 24   NaN        1     NaN  Berlin   \n",
       "3261                        NaN   NaN        1     NaN  Berlin   \n",
       "2181       Starkenburger Str. 3   NaN        0     NaN  Berlin   \n",
       "825          Riemeisterstraße 4   NaN        1     NaN  Berlin   \n",
       "713       Potsdamer Chaussee 26   NaN        0     NaN  Berlin   \n",
       "2604              Düppelstr. 19   NaN        0     NaN  Berlin   \n",
       "3166              Clayallee 311   NaN        1     NaN  Berlin   \n",
       "2037           Hammerstraße, 42   NaN        1     NaN  Berlin   \n",
       "1064         Pritchardstraße 13   NaN        1     NaN  Berlin   \n",
       "623                         NaN   NaN        1     NaN  Berlin   \n",
       "3147         Mörchinger Str. 25   NaN        1     NaN  Berlin   \n",
       "1451         Breitensteinweg 10   NaN        1     NaN  Berlin   \n",
       "3083          Albertinenstr. 12   NaN        1     NaN  Berlin   \n",
       "2494             Königsstr. 67a   NaN        0     NaN  Berlin   \n",
       "2200              Beerenstr. 11   NaN        1     NaN  Berlin   \n",
       "3055             Ramsteinweg 23   NaN        0     NaN  Berlin   \n",
       "1752           Sangebuchtweg 11   NaN        1     NaN  Berlin   \n",
       "1980          Breisgauer Str. 4   NaN        0     NaN  Berlin   \n",
       "1412           Dahlemer Weg 223   NaN        1     NaN  Berlin   \n",
       "2773         Podbielskiallee 40   NaN        1     NaN  Berlin   \n",
       "3186       Königin-Luise-Str. 5   NaN        1     NaN  Berlin   \n",
       "252               Spilstraße 10   NaN        0     NaN  Berlin   \n",
       "375   Saargemünder Straße  27 b   NaN        1     NaN  Berlin   \n",
       "1904            Lange Stüclen 7   NaN        1     NaN  Berlin   \n",
       "2336            Hocksteinweg 17   NaN        0     NaN  Berlin   \n",
       "2232               Taylorstr. 9   NaN        1     NaN  Berlin   \n",
       "1153                        NaN   NaN        1     NaN  Berlin   \n",
       "2036    Habelschwerdter Allee 1   NaN        1     NaN  Berlin   \n",
       "1743         Mörchinger Str. 59   NaN        0     NaN  Berlin   \n",
       "2274         Podbielskiallee 68   NaN        0     NaN  Berlin   \n",
       "719      Königin-Luise-Straße 5   NaN        1     NaN  Berlin   \n",
       "3196            Glockenstraße 2   NaN        1     NaN  Berlin   \n",
       "1742         Mörchinger Str. 63   NaN        0     NaN  Berlin   \n",
       "1526         Hampsteadstraße 33   NaN        1     NaN  Berlin   \n",
       "2510              Taylorstr. 15   NaN        0     NaN  Berlin   \n",
       "1613      Eschershauser Weg 29f   NaN        1     NaN  Berlin   \n",
       "611          Schorlemer Allee 3   NaN        1     NaN  Berlin   \n",
       "739          Flanaganstrasse 20   NaN        1     NaN  Berlin   \n",
       "854                         NaN   NaN        1     NaN  Berlin   \n",
       "2658        Potsdamer Straße 38   NaN        0     NaN  Berlin   \n",
       "1262                        NaN   NaN        1     NaN  Berlin   \n",
       "156          Berliner Straße 12   NaN        0     NaN  Berlin   \n",
       "1560                        NaN   NaN        1     NaN  Berlin   \n",
       "357       Brettnacher Straße 21   NaN        1     NaN  Berlin   \n",
       "3276                        NaN   NaN        1     NaN  Berlin   \n",
       "804        Lutterbacher Str. 22   NaN        1     NaN  Berlin   \n",
       "139          Berliner Straße 12   NaN        0     NaN  Berlin   \n",
       "1656  Charlottenburger Straße 6   NaN        1     NaN  Berlin   \n",
       "906         Teltower Damm 203 B   NaN        0     NaN  Berlin   \n",
       "2533            Goßlerstraße 15   NaN        0     NaN  Berlin   \n",
       "569         Sundgauer Straße  .   NaN        1     NaN  Berlin   \n",
       "1508       Am Hirschsprung 59 C   NaN        0     NaN  Berlin   \n",
       "141             Kleiststraße 30   NaN        1     NaN  Berlin   \n",
       "\n",
       "                                     contact_name                 district  \\\n",
       "1933                             Philipp Vormeier  Zehlendorf (Zehlendorf)   \n",
       "3169       Wohnbau Service Bonn GmbH Service Team  Nikolassee (Zehlendorf)   \n",
       "3090                            Dave  Felgenhauer  Zehlendorf (Zehlendorf)   \n",
       "3151       Wohnbau Service Bonn GmbH Service Team  Nikolassee (Zehlendorf)   \n",
       "1071                                  GmbH PRINTS      Dahlem (Zehlendorf)   \n",
       "2492                                   Achim Emde     Wannsee (Zehlendorf)   \n",
       "1385                                Ralph Wodrich     Wannsee (Zehlendorf)   \n",
       "1790                                Jörg-M. Meier     Wannsee (Zehlendorf)   \n",
       "3261                                   G. Schmidt  Zehlendorf (Zehlendorf)   \n",
       "2181                                 Yvonne Fuchs  Zehlendorf (Zehlendorf)   \n",
       "825                                     Nils Bock  Zehlendorf (Zehlendorf)   \n",
       "713                                 Mirko Neumann  Nikolassee (Zehlendorf)   \n",
       "2604                                          NaN  Zehlendorf (Zehlendorf)   \n",
       "3166                                 Anne Gärtner  Zehlendorf (Zehlendorf)   \n",
       "2037                                          NaN  Zehlendorf (Zehlendorf)   \n",
       "1064                                Axel Pfeiffer      Dahlem (Zehlendorf)   \n",
       "623                                 Ralph Wodrich     Wannsee (Zehlendorf)   \n",
       "3147                                          NaN  Zehlendorf (Zehlendorf)   \n",
       "1451                              Julia Ziglowski  Zehlendorf (Zehlendorf)   \n",
       "3083  BITTE NUR PER EMAIL WGW Hausverwaltung GmbH  Zehlendorf (Zehlendorf)   \n",
       "2494                       Dr. Christian Schölzel     Wannsee (Zehlendorf)   \n",
       "2200                                Pamela Wunsch  Zehlendorf (Zehlendorf)   \n",
       "3055                            Dennis Hirschberg  Zehlendorf (Zehlendorf)   \n",
       "1752                                          NaN     Wannsee (Zehlendorf)   \n",
       "1980                                          NaN  Nikolassee (Zehlendorf)   \n",
       "1412                                Möller Nadine  Zehlendorf (Zehlendorf)   \n",
       "2773                        Claudia von Zitzewitz      Dahlem (Zehlendorf)   \n",
       "3186                                          NaN      Dahlem (Zehlendorf)   \n",
       "252                                           NaN      Dahlem (Zehlendorf)   \n",
       "375                            Sybille Löffelbein      Dahlem (Zehlendorf)   \n",
       "1904                                          NaN     Wannsee (Zehlendorf)   \n",
       "2336                      Alexandra Nepomnyashcha  Zehlendorf (Zehlendorf)   \n",
       "2232                            Stephanie Schulze      Dahlem (Zehlendorf)   \n",
       "1153                                          NaN  Zehlendorf (Zehlendorf)   \n",
       "2036                               Dennis Altinok      Dahlem (Zehlendorf)   \n",
       "1743                                   Rayk Welke  Zehlendorf (Zehlendorf)   \n",
       "2274                                Markus Krause      Dahlem (Zehlendorf)   \n",
       "719                          Karl-Heinz Jettinger      Dahlem (Zehlendorf)   \n",
       "3196                                 Gerd Plensky  Zehlendorf (Zehlendorf)   \n",
       "1742                                   Rayk Welke  Zehlendorf (Zehlendorf)   \n",
       "1526                                 Thomas Nölle  Zehlendorf (Zehlendorf)   \n",
       "2510                            Stephanie Schulze      Dahlem (Zehlendorf)   \n",
       "1613                                Sabine  Rösel  Zehlendorf (Zehlendorf)   \n",
       "611                                           NaN      Dahlem (Zehlendorf)   \n",
       "739                                 Stefan Hainzl      Dahlem (Zehlendorf)   \n",
       "854                                  Leon Karsten      Dahlem (Zehlendorf)   \n",
       "2658                                Sascha Lobeck  Zehlendorf (Zehlendorf)   \n",
       "1262                              Franz Du Chesne      Dahlem (Zehlendorf)   \n",
       "156                                 Michael Röder  Zehlendorf (Zehlendorf)   \n",
       "1560                            Felicitas Rennert  Nikolassee (Zehlendorf)   \n",
       "357                                  Marc Zellner  Zehlendorf (Zehlendorf)   \n",
       "3276                                          NaN  Zehlendorf (Zehlendorf)   \n",
       "804                               Bernhard Reiter  Zehlendorf (Zehlendorf)   \n",
       "139                                Thierry Dubois  Zehlendorf (Zehlendorf)   \n",
       "1656                                  Lars Thieme  Zehlendorf (Zehlendorf)   \n",
       "906                                           NaN  Zehlendorf (Zehlendorf)   \n",
       "2533                                          NaN      Dahlem (Zehlendorf)   \n",
       "569                               Sandra Smarslik      Dahlem (Zehlendorf)   \n",
       "1508                          Reinhard Timm e. K.      Dahlem (Zehlendorf)   \n",
       "141                                   Uwe Peschel  Zehlendorf (Zehlendorf)   \n",
       "\n",
       "      extra_costs  garden    immo_id     ...         rent  rooms     sqm  \\\n",
       "1933       240.00       1  106200307     ...       950.00    4.0  105.00   \n",
       "3169       195.98       1   89168579     ...       535.02    2.0   67.04   \n",
       "3090       164.00       1   95781013     ...       408.18    1.5   52.68   \n",
       "3151       182.17       0   90729049     ...       451.83    1.5   56.62   \n",
       "1071       298.00       0  106595282     ...      1048.23    3.0  110.00   \n",
       "2492       257.00       0  105518230     ...      1270.00    4.0  124.80   \n",
       "1385       756.00       1  106495039     ...      1628.00    3.0  148.00   \n",
       "1790       215.00       0  106291069     ...       530.00    2.0   61.01   \n",
       "3261       315.00       1   68925463     ...       910.00    3.0   83.00   \n",
       "2181       348.00       0  105996967     ...      1005.30    3.5  100.53   \n",
       "825          0.00       1   89388312     ...       350.00    1.0   25.00   \n",
       "713        340.00       1   57300477     ...      1400.00    4.0  140.00   \n",
       "2604       115.00       0  105189965     ...       570.00    2.0   55.64   \n",
       "3166       280.00       0   89349917     ...      1209.60    4.0  108.00   \n",
       "2037       220.00       1  106129364     ...       925.43    2.0   79.82   \n",
       "1064       241.00       0  106596584     ...       868.05    3.0   89.49   \n",
       "623        550.00       1  106245902     ...      1180.00    2.0   98.79   \n",
       "3147       120.00       0   91171284     ...       450.00    1.0   35.00   \n",
       "1451       120.00       0  106460055     ...       521.54    2.0   49.67   \n",
       "3083       350.00       1   96253253     ...       950.00    3.0   85.00   \n",
       "2494       180.00       1  105511918     ...       350.00    1.0   20.00   \n",
       "2200       131.47       0  105949718     ...       444.82    1.0   35.38   \n",
       "3055       147.03       1   98023697     ...       606.05    2.0   52.70   \n",
       "1752       320.00       0  106315694     ...      1099.00    3.0  107.00   \n",
       "1980       117.00       0  106174394     ...       495.00    1.0   42.05   \n",
       "1412       245.00       0  106484356     ...       780.00    3.0   70.96   \n",
       "2773       450.00       1  104558120     ...      1475.37    3.0  118.30   \n",
       "3186        95.00       0   87475137     ...       395.00    1.0   19.37   \n",
       "252        212.42       1  106296522     ...       900.96    2.0   75.08   \n",
       "375        179.00       1  106570653     ...       799.00    2.0   60.00   \n",
       "1904       600.00       1  106216844     ...      1775.00    5.0  149.44   \n",
       "2336       156.00       0  105796491     ...       590.00    2.5   53.55   \n",
       "2232       320.94       0  105941148     ...      1125.81    5.0  106.50   \n",
       "1153       200.00       0  106574939     ...       600.00    2.0   51.00   \n",
       "2036        50.00       0  106129651     ...       499.00    1.0   37.65   \n",
       "1743        88.25       0  106317805     ...       448.87    1.0   31.48   \n",
       "2274       204.00       1  105901612     ...       795.00    2.0   65.00   \n",
       "719        109.00       0   85047209     ...       520.00    1.0   30.50   \n",
       "3196       267.90       1   85787616     ...      1320.04    3.0  105.64   \n",
       "1742       111.10       0  106317810     ...       526.03    1.5   39.93   \n",
       "1526       390.00       1  106418297     ...      1456.00    4.0  112.00   \n",
       "2510       291.39       0  105476421     ...       961.92    3.0   88.10   \n",
       "1613       169.00       0  106365380     ...       650.00    2.0   53.00   \n",
       "611        150.67       0  106296679     ...       860.40    2.5   71.70   \n",
       "739        232.00       0  106596591     ...      1206.63    4.0   96.53   \n",
       "854        177.00       1  106385218     ...       820.00    2.0   56.00   \n",
       "2658        97.00       0  105030507     ...       800.00    3.0   58.00   \n",
       "1262       345.00       0  106533126     ...      1499.00    4.0  116.60   \n",
       "156        141.00       0  106368136     ...      1128.00    3.0   85.00   \n",
       "1560       400.00       1  106384388     ...      1596.00    4.0  114.00   \n",
       "357        190.00       0  105849682     ...      1110.00    2.5   79.30   \n",
       "3276       350.00       0   62407818     ...      1800.00    6.0  147.00   \n",
       "804        320.00       1   85123148     ...      1395.00    3.0   96.50   \n",
       "139        132.00       0  104927243     ...      1065.00    3.0   77.00   \n",
       "1656       200.00       1  106350242     ...      1500.00    3.0  100.00   \n",
       "906        265.00       0   66633796     ...      1141.80    2.0   74.53   \n",
       "2533       150.00       1  105408183     ...      1250.00    3.0   71.00   \n",
       "569        240.00       0  106489995     ...      1170.00    2.0   69.00   \n",
       "1508       400.00       0  106434786     ...      1900.00    3.0  130.00   \n",
       "141        200.00       0   69450128     ...      1590.00    3.0   86.00   \n",
       "\n",
       "                                                  title  \\\n",
       "1933               Ruhige Wohnung in Berlin, Zehlendorf   \n",
       "3169      WBS erforderlich!!! ruhige Wohnung mit Garten   \n",
       "3090  Bereits modernisierte Wohnung, mit großem Balk...   \n",
       "3151  Wohnen in der Natur! WBS erforderlich! Einbauk...   \n",
       "1071     +NAHE GRUNEWALD+SONNENBALKON+PARKETT+WOHNKÜCHE   \n",
       "2492  Ansprechende 4-Zimmer-Wohnung zur Miete in Wan...   \n",
       "1385  WANNSEE : EG-Maisonetten-Wohnung direkt am Kle...   \n",
       "1790   Helle 2-Zimmerwohnung im Grünen, nahe Wannsee.     \n",
       "3261  3-Zi.-Wohnung mit Terrasse u. Garten in sehr g...   \n",
       "2181  ++Wir renovieren für Sie: Ansprechende 3,5-Zim...   \n",
       "825             Studenten wohnen wie Gott in Frankreich   \n",
       "713   Schöne, geräumige 4Zimmerwohnung im Dachgescho...   \n",
       "2604           Tolle Wohnung in ruhiger Zehlendorf-Lage   \n",
       "3166              Zehlendorf, Stadtvilla, DG Maisonette   \n",
       "2037       Helle 2-Zimmer-Luxus-Wohnung in ruhiger Lage   \n",
       "1064    3 Zimmer mit Balkon Nähe Grunewald ab September   \n",
       "623   WANNSEE in Bestlage. : Attr. BALKON-Wohnung di...   \n",
       "3147  Einzimmerwohnung im Grünen von Zehlendorf - ho...   \n",
       "1451               Sonnenbalkon + Wohnküche, das passt!   \n",
       "3083  SCHÖNE, HELLE 3-ZIMMERWOHNUNG MIT BALKON IN ZE...   \n",
       "2494  1 Zimmer-Wohnung, ca. 20 qm mit Badesteg zum K...   \n",
       "2200       Ruhige Seniorenwohnung im schönen Zehlendorf   \n",
       "3055  +++ ACHTUNG +++ NEUBAU RAMSTEINWEG 23 SUCHT NA...   \n",
       "1752  Erstbezug nach Modernisierung! 3-Zimmer-Wohnun...   \n",
       "1980                 1-Zi-Apartment nahe Schlachtensee    \n",
       "1412  3-Zi-Whg. am Heinrich-Laehr-Park - Besichtigun...   \n",
       "2773  3 - Zimmer Wohnung mit Südterrasse in bester L...   \n",
       "3186  Möbliertes, modernes 1-Zi-Appartement ab 01.10...   \n",
       "252   Helle und sanierte 2 Zimmer-Altbauwohnung in S...   \n",
       "375   \"The Metropolitan Gardens\" - Wohnen im Park: K...   \n",
       "1904  HOMESK - 5-Zimmer-Maisonette mit Terrasse in i...   \n",
       "2336  Kleines gemütliches Heim in einer angenehmen S...   \n",
       "2232          Familienfreundlich wohnen in ruhiger Lage   \n",
       "1153   Schöne zwei Zimmer Wohnung in Berlin, Zehlendorf   \n",
       "2036  Helle 1-Zimmer Wohnung nahe der FU in super La...   \n",
       "1743                           ***Aus alt mach neu!!***   \n",
       "2274           schöne teilmöblierte 2 Zi. in Dahlemlage   \n",
       "719   Großes Möbliertes Apartment für Studenten und ...   \n",
       "3196  3 Zimmer im EG und Souterrain in begehrter Wes...   \n",
       "1742                         Wir modernisieren für Sie!   \n",
       "1526  Neuwertige 4-Zimmer-Erdgeschosswohnung mit Sou...   \n",
       "2510                Erstbezug nach Sanierung in Dahlem!   \n",
       "1613  Spektakulärer Waldblick an der Krummen Lanke -...   \n",
       "611   Schöne, helle und sanierte 2,5 Zimmer-Altbauwo...   \n",
       "739   Schöne vier Zimmer Wohnung direkt am Grunewald...   \n",
       "854       Neubau-Wohnung in Dahlem (inkl. EBK & Balkon)   \n",
       "2658  Dachgeschoss-Wohnung in Berlin-Zehlendorf fris...   \n",
       "1262  Sanierte 4Zi Wohnung am Dreipfuhlpark mit Balk...   \n",
       "156   TRAUMHAFT helle Wohnung, Stuck, Einbauküche, W...   \n",
       "1560  Chices Wohnen mit netten Nachbarn, 151 m² auf ...   \n",
       "357   Umfassend modernisierte Wohnung mit Einbauküch...   \n",
       "3276                    Exklusives Wohnen im Baudenkmal   \n",
       "804        Gehobenes Wohnen im Rhytmus der Jahreszeiten   \n",
       "139   TRAUMHAFT helle Wohnung, Stuck, Einbauküche, W...   \n",
       "1656    Sehr helle und ruhige 3 Zimmer Wohnung (Neubau)   \n",
       "906                      Barrierefreie 2-Zimmer-Wohnung   \n",
       "2533              71qm in Dahlem Altbauvilla (möbliert)   \n",
       "569   Einziehen und Wohlfühlen! Moderne, vollmöblier...   \n",
       "1508  Top-Dahlem-Lage: Schönes Reihenmittelhaus mit ...   \n",
       "141   Toplage!Attraktives Penthouse in einer Stadtvi...   \n",
       "\n",
       "                                                    url  zip_code  \\\n",
       "1933  https://www.immobilienscout24.de/expose/106200307     14167   \n",
       "3169   https://www.immobilienscout24.de/expose/89168579     14129   \n",
       "3090   https://www.immobilienscout24.de/expose/95781013     14167   \n",
       "3151   https://www.immobilienscout24.de/expose/90729049     14129   \n",
       "1071  https://www.immobilienscout24.de/expose/106595282     14169   \n",
       "2492  https://www.immobilienscout24.de/expose/105518230     14109   \n",
       "1385  https://www.immobilienscout24.de/expose/106495039     14109   \n",
       "1790  https://www.immobilienscout24.de/expose/106291069     14109   \n",
       "3261   https://www.immobilienscout24.de/expose/68925463     14169   \n",
       "2181  https://www.immobilienscout24.de/expose/105996967     14163   \n",
       "825    https://www.immobilienscout24.de/expose/89388312     14169   \n",
       "713    https://www.immobilienscout24.de/expose/57300477     14129   \n",
       "2604  https://www.immobilienscout24.de/expose/105189965     14163   \n",
       "3166   https://www.immobilienscout24.de/expose/89349917     14169   \n",
       "2037  https://www.immobilienscout24.de/expose/106129364     14167   \n",
       "1064  https://www.immobilienscout24.de/expose/106596584     14169   \n",
       "623   https://www.immobilienscout24.de/expose/106245902     14109   \n",
       "3147   https://www.immobilienscout24.de/expose/91171284     14169   \n",
       "1451  https://www.immobilienscout24.de/expose/106460055     14165   \n",
       "3083   https://www.immobilienscout24.de/expose/96253253     14169   \n",
       "2494  https://www.immobilienscout24.de/expose/105511918     14109   \n",
       "2200  https://www.immobilienscout24.de/expose/105949718     14163   \n",
       "3055   https://www.immobilienscout24.de/expose/98023697     14165   \n",
       "1752  https://www.immobilienscout24.de/expose/106315694     14109   \n",
       "1980  https://www.immobilienscout24.de/expose/106174394     14129   \n",
       "1412  https://www.immobilienscout24.de/expose/106484356     14167   \n",
       "2773  https://www.immobilienscout24.de/expose/104558120     14195   \n",
       "3186   https://www.immobilienscout24.de/expose/87475137     14195   \n",
       "252   https://www.immobilienscout24.de/expose/106296522     14195   \n",
       "375   https://www.immobilienscout24.de/expose/106570653     14195   \n",
       "1904  https://www.immobilienscout24.de/expose/106216844     14109   \n",
       "2336  https://www.immobilienscout24.de/expose/105796491     14165   \n",
       "2232  https://www.immobilienscout24.de/expose/105941148     14195   \n",
       "1153  https://www.immobilienscout24.de/expose/106574939     14167   \n",
       "2036  https://www.immobilienscout24.de/expose/106129651     14195   \n",
       "1743  https://www.immobilienscout24.de/expose/106317805     14169   \n",
       "2274  https://www.immobilienscout24.de/expose/105901612     14195   \n",
       "719    https://www.immobilienscout24.de/expose/85047209     14195   \n",
       "3196   https://www.immobilienscout24.de/expose/85787616     14163   \n",
       "1742  https://www.immobilienscout24.de/expose/106317810     14169   \n",
       "1526  https://www.immobilienscout24.de/expose/106418297     14167   \n",
       "2510  https://www.immobilienscout24.de/expose/105476421     14195   \n",
       "1613  https://www.immobilienscout24.de/expose/106365380     14163   \n",
       "611   https://www.immobilienscout24.de/expose/106296679     14195   \n",
       "739   https://www.immobilienscout24.de/expose/106596591     14195   \n",
       "854   https://www.immobilienscout24.de/expose/106385218     14195   \n",
       "2658  https://www.immobilienscout24.de/expose/105030507     14163   \n",
       "1262  https://www.immobilienscout24.de/expose/106533126     14195   \n",
       "156   https://www.immobilienscout24.de/expose/106368136     14169   \n",
       "1560  https://www.immobilienscout24.de/expose/106384388     14129   \n",
       "357   https://www.immobilienscout24.de/expose/105849682     14167   \n",
       "3276   https://www.immobilienscout24.de/expose/62407818     14163   \n",
       "804    https://www.immobilienscout24.de/expose/85123148     14167   \n",
       "139   https://www.immobilienscout24.de/expose/104927243     14169   \n",
       "1656  https://www.immobilienscout24.de/expose/106350242     14169   \n",
       "906    https://www.immobilienscout24.de/expose/66633796     14167   \n",
       "2533  https://www.immobilienscout24.de/expose/105408183     14195   \n",
       "569   https://www.immobilienscout24.de/expose/106489995     14169   \n",
       "1508  https://www.immobilienscout24.de/expose/106434786     14195   \n",
       "141    https://www.immobilienscout24.de/expose/69450128     14163   \n",
       "\n",
       "      rent_predicted  rent_error rent_predicted2 rent_error2  \n",
       "1933     1065.147978 -115.147978     1260.052699 -310.052699  \n",
       "3169      774.322687 -239.302687      802.642642 -267.622642  \n",
       "3090      574.065009 -165.885009      591.347406 -183.167406  \n",
       "3151      629.757535 -177.927535      634.260168 -182.430168  \n",
       "1071     1131.169515  -82.939515     1215.975747 -167.745747  \n",
       "2492     1248.014875   21.985125     1424.893534 -154.893534  \n",
       "1385     1642.410666  -14.410666     1734.694538 -106.694538  \n",
       "1790      614.251279  -84.251279      629.856273  -99.856273  \n",
       "3261      850.784925   59.215075     1005.441058  -95.441058  \n",
       "2181     1010.457592   -5.157592     1096.988452  -91.688452  \n",
       "825       256.102859   93.897141      433.109380  -83.109380  \n",
       "713      1396.475338    3.524662     1459.929540  -59.929540  \n",
       "2604      602.302764  -32.302764      629.408644  -59.408644  \n",
       "3166     1063.477757  146.122243     1265.753563  -56.153563  \n",
       "2037      837.059869   88.370131      955.697621  -30.267621  \n",
       "1064      905.880449  -37.830449      885.648723  -17.598723  \n",
       "623      1123.075873   56.924127     1197.245279  -17.245279  \n",
       "3147      402.878430   47.121570      454.560786   -4.560786  \n",
       "1451      489.688724   31.851276      518.242532    3.297468  \n",
       "3083      950.396470   -0.396470      936.127064   13.872936  \n",
       "2494      141.968613  208.031387      335.170410   14.829590  \n",
       "2200      353.927513   90.892487      420.942562   23.877438  \n",
       "3055      557.594590   48.455410      574.921206   31.128794  \n",
       "1752     1098.216458    0.783542     1061.379450   37.620550  \n",
       "1980      474.230600   20.769400      454.515762   40.484238  \n",
       "1412      702.340400   77.659600      739.295399   40.704601  \n",
       "2773     1316.175402  159.194598     1433.912052   41.457948  \n",
       "3186      231.193004  163.806996      353.431037   41.568963  \n",
       "252       856.549366   44.410634      858.729302   42.230698  \n",
       "375       696.992847  102.007153      749.583324   49.416676  \n",
       "1904     1615.817765  159.182235     1722.101715   52.898285  \n",
       "2336      515.617905   74.382095      520.540860   69.459140  \n",
       "2232     1050.313913   75.496087     1056.003654   69.806346  \n",
       "1153      426.655072  173.344928      518.510297   81.489703  \n",
       "2036      378.861993  120.138007      416.737225   82.262775  \n",
       "1743      305.001025  143.868975      366.270552   82.599448  \n",
       "2274      745.827094   49.172906      706.101033   88.898967  \n",
       "719       353.448845  166.551155      419.178517  100.821483  \n",
       "3196     1123.988531  196.051469     1217.931447  102.108553  \n",
       "1742      387.216210  138.813790      407.045002  118.984998  \n",
       "1526     1148.125958  307.874042     1331.687891  124.312109  \n",
       "2510      884.524685   77.395315      835.823806  126.096194  \n",
       "1613      526.266617  123.733383      517.658254  132.341746  \n",
       "611       721.071413  139.328587      725.105191  135.294809  \n",
       "739       937.487235  269.142765     1070.342618  136.287382  \n",
       "854       575.412597  244.587403      673.233478  146.766522  \n",
       "2658      607.020651  192.979349      628.095894  171.904106  \n",
       "1262     1182.461056  316.538944     1280.065191  218.934809  \n",
       "156       825.955324  302.044676      901.894797  226.105203  \n",
       "1560     1247.737503  348.262497     1356.174413  239.825587  \n",
       "357       857.677462  252.322538      849.797722  260.202278  \n",
       "3276     1396.332157  403.667843     1531.081185  268.918815  \n",
       "804       999.073682  395.926318     1121.535427  273.464573  \n",
       "139       738.080505  326.919495      772.676235  292.323765  \n",
       "1656     1037.518915  462.481085     1202.181512  297.818488  \n",
       "906       756.672208  385.127792      708.356545  433.443455  \n",
       "2533      712.885184  537.114816      802.250537  447.749463  \n",
       "569       755.141225  414.858775      708.755624  461.244376  \n",
       "1508     1397.894018  502.105982     1402.905561  497.094439  \n",
       "141       920.670030  669.329970      965.793145  624.206855  \n",
       "\n",
       "[60 rows x 25 columns]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top[top[\"district\"].str.contains(\"Zehlendorf\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\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>address</th>\n",
       "      <th>area</th>\n",
       "      <th>balcony</th>\n",
       "      <th>cellar</th>\n",
       "      <th>city</th>\n",
       "      <th>contact_name</th>\n",
       "      <th>district</th>\n",
       "      <th>extra_costs</th>\n",
       "      <th>garden</th>\n",
       "      <th>immo_id</th>\n",
       "      <th>...</th>\n",
       "      <th>rent</th>\n",
       "      <th>rooms</th>\n",
       "      <th>sqm</th>\n",
       "      <th>title</th>\n",
       "      <th>url</th>\n",
       "      <th>zip_code</th>\n",
       "      <th>rent_predicted</th>\n",
       "      <th>rent_error</th>\n",
       "      <th>rent_predicted2</th>\n",
       "      <th>rent_error2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>936</th>\n",
       "      <td>Wattstrasse 11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sarah Bauer</td>\n",
       "      <td>Oberschöneweide (Köpenick)</td>\n",
       "      <td>150.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106621033</td>\n",
       "      <td>...</td>\n",
       "      <td>828.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>120.00</td>\n",
       "      <td>Charismatisches Dachgeschoss mit viel Platz in...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106621033</td>\n",
       "      <td>12459</td>\n",
       "      <td>1229.913263</td>\n",
       "      <td>-401.913263</td>\n",
       "      <td>1419.280170</td>\n",
       "      <td>-591.280170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3245</th>\n",
       "      <td>Luckenwalder Straße 70</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Vermietungsbüro \"Grüne Mitte\"</td>\n",
       "      <td>Hellersdorf (Hellersdorf)</td>\n",
       "      <td>454.68</td>\n",
       "      <td>0</td>\n",
       "      <td>74225906</td>\n",
       "      <td>...</td>\n",
       "      <td>1182.16</td>\n",
       "      <td>4.0</td>\n",
       "      <td>181.87</td>\n",
       "      <td>Toller Ausblick auf 2 Etagen mit 2 Balkonen</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/74225906</td>\n",
       "      <td>12629</td>\n",
       "      <td>1899.409731</td>\n",
       "      <td>-717.249731</td>\n",
       "      <td>1769.416972</td>\n",
       "      <td>-587.256972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1334</th>\n",
       "      <td>Sakrower Landstraße 23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Carola Dumont</td>\n",
       "      <td>Kladow (Spandau)</td>\n",
       "      <td>300.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106510836</td>\n",
       "      <td>...</td>\n",
       "      <td>1018.64</td>\n",
       "      <td>5.0</td>\n",
       "      <td>133.68</td>\n",
       "      <td>Maisonette Wohnung im Kladower Ortskern !</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106510836</td>\n",
       "      <td>14089</td>\n",
       "      <td>1442.704373</td>\n",
       "      <td>-424.064373</td>\n",
       "      <td>1529.608336</td>\n",
       "      <td>-510.968336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>916</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Vanessa Laribi</td>\n",
       "      <td>Charlottenburg (Charlottenburg)</td>\n",
       "      <td>100.00</td>\n",
       "      <td>0</td>\n",
       "      <td>104559726</td>\n",
       "      <td>...</td>\n",
       "      <td>1250.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>155.00</td>\n",
       "      <td>Stilvolle, geräumige und gepflegte 4-Zimmer-Wo...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/104559726</td>\n",
       "      <td>14059</td>\n",
       "      <td>1579.742315</td>\n",
       "      <td>-329.742315</td>\n",
       "      <td>1711.121614</td>\n",
       "      <td>-461.121614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>902</th>\n",
       "      <td>Königsseestr. 10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Christian Dabelstein</td>\n",
       "      <td>Grünau (Köpenick)</td>\n",
       "      <td>241.00</td>\n",
       "      <td>1</td>\n",
       "      <td>98142202</td>\n",
       "      <td>...</td>\n",
       "      <td>953.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>112.08</td>\n",
       "      <td>Grünau: helle, ruhige 2 Zi. mit Garten am Wass...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/98142202</td>\n",
       "      <td>12527</td>\n",
       "      <td>1269.057915</td>\n",
       "      <td>-316.057915</td>\n",
       "      <td>1406.127224</td>\n",
       "      <td>-453.127224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>Cunostr. 8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Carolin Vonderau</td>\n",
       "      <td>Schmargendorf (Wilmersdorf)</td>\n",
       "      <td>454.60</td>\n",
       "      <td>0</td>\n",
       "      <td>106434812</td>\n",
       "      <td>...</td>\n",
       "      <td>1006.12</td>\n",
       "      <td>4.0</td>\n",
       "      <td>133.71</td>\n",
       "      <td>Helles Wohnen in großzügiger Wohnung in Schmar...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106434812</td>\n",
       "      <td>14199</td>\n",
       "      <td>1423.528295</td>\n",
       "      <td>-417.408295</td>\n",
       "      <td>1455.525524</td>\n",
       "      <td>-449.405524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3234</th>\n",
       "      <td>Zwieseler Str. 40-40d</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Karlshorst (Lichtenberg)</td>\n",
       "      <td>370.88</td>\n",
       "      <td>0</td>\n",
       "      <td>77198368</td>\n",
       "      <td>...</td>\n",
       "      <td>799.71</td>\n",
       "      <td>2.0</td>\n",
       "      <td>115.90</td>\n",
       "      <td>Wohnen über den Dächern von Karlshorst</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/77198368</td>\n",
       "      <td>10318</td>\n",
       "      <td>1217.182377</td>\n",
       "      <td>-417.472377</td>\n",
       "      <td>1248.638370</td>\n",
       "      <td>-448.928370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3300</th>\n",
       "      <td>Stresowstr. 4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Marcel Reiche</td>\n",
       "      <td>Spandau (Spandau)</td>\n",
       "      <td>301.00</td>\n",
       "      <td>0</td>\n",
       "      <td>42788681</td>\n",
       "      <td>...</td>\n",
       "      <td>629.45</td>\n",
       "      <td>3.0</td>\n",
       "      <td>91.49</td>\n",
       "      <td>3- Zi-Wohnung mit Balkon in Berlin Spandau, au...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/42788681</td>\n",
       "      <td>13597</td>\n",
       "      <td>980.974124</td>\n",
       "      <td>-351.524124</td>\n",
       "      <td>1062.876268</td>\n",
       "      <td>-433.426268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>Hohenzollerndamm 89</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Schmargendorf (Wilmersdorf)</td>\n",
       "      <td>320.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106614079</td>\n",
       "      <td>...</td>\n",
       "      <td>1300.00</td>\n",
       "      <td>5.5</td>\n",
       "      <td>153.00</td>\n",
       "      <td>geräumige 5-Zimmerwohnung am Roseneck</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106614079</td>\n",
       "      <td>14199</td>\n",
       "      <td>1603.608675</td>\n",
       "      <td>-303.608675</td>\n",
       "      <td>1720.608705</td>\n",
       "      <td>-420.608705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3257</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Felix Thurmann</td>\n",
       "      <td>Charlottenburg (Charlottenburg)</td>\n",
       "      <td>235.00</td>\n",
       "      <td>1</td>\n",
       "      <td>70405282</td>\n",
       "      <td>...</td>\n",
       "      <td>812.00</td>\n",
       "      <td>4.5</td>\n",
       "      <td>116.00</td>\n",
       "      <td>ruhige 116 qm Souterrainwohnung im Villenviert...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/70405282</td>\n",
       "      <td>14055</td>\n",
       "      <td>1122.248291</td>\n",
       "      <td>-310.248291</td>\n",
       "      <td>1228.330025</td>\n",
       "      <td>-416.330025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2605</th>\n",
       "      <td>Lynarstr. 25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Vermietungsteam Stadthaus Verwaltungsgesellschaft</td>\n",
       "      <td>Spandau (Spandau)</td>\n",
       "      <td>246.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105189880</td>\n",
       "      <td>...</td>\n",
       "      <td>953.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>118.20</td>\n",
       "      <td>Spandau Lutherplatz! 4 Zimmer - Wassernähe - B...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105189880</td>\n",
       "      <td>13585</td>\n",
       "      <td>1253.160991</td>\n",
       "      <td>-300.160991</td>\n",
       "      <td>1368.183716</td>\n",
       "      <td>-415.183716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1123</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Marina Schulze</td>\n",
       "      <td>Rudow (Neukölln)</td>\n",
       "      <td>160.31</td>\n",
       "      <td>1</td>\n",
       "      <td>106588396</td>\n",
       "      <td>...</td>\n",
       "      <td>605.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>86.00</td>\n",
       "      <td>Kuschliges 2-Zimmer Dachgeschoss in Berlin-Rud...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106588396</td>\n",
       "      <td>12357</td>\n",
       "      <td>976.498493</td>\n",
       "      <td>-371.498493</td>\n",
       "      <td>1015.999039</td>\n",
       "      <td>-410.999039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2969</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sylvie Winckel</td>\n",
       "      <td>Niederschöneweide (Treptow)</td>\n",
       "      <td>350.00</td>\n",
       "      <td>0</td>\n",
       "      <td>102237882</td>\n",
       "      <td>...</td>\n",
       "      <td>1299.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>162.33</td>\n",
       "      <td>Sehr repräsentativ – Eckwohnung am Bahnhof Sch...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/102237882</td>\n",
       "      <td>12439</td>\n",
       "      <td>1684.775487</td>\n",
       "      <td>-385.775487</td>\n",
       "      <td>1702.100317</td>\n",
       "      <td>-403.100317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2390</th>\n",
       "      <td>Schildhornstrasse 77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Hardy  Ney</td>\n",
       "      <td>Steglitz (Steglitz)</td>\n",
       "      <td>304.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105725420</td>\n",
       "      <td>...</td>\n",
       "      <td>658.66</td>\n",
       "      <td>4.0</td>\n",
       "      <td>98.75</td>\n",
       "      <td>4-Zi. Loggia-Balkonwohnung nahe Schloßstr. (WB...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105725420</td>\n",
       "      <td>12163</td>\n",
       "      <td>1039.515338</td>\n",
       "      <td>-380.855338</td>\n",
       "      <td>1061.055928</td>\n",
       "      <td>-402.395928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>871</th>\n",
       "      <td>Lindenallee 27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Jessica Koenig</td>\n",
       "      <td>Friedrichshagen (Köpenick)</td>\n",
       "      <td>250.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106362748</td>\n",
       "      <td>...</td>\n",
       "      <td>1300.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>146.00</td>\n",
       "      <td>Wohlfühlen für Familien in Sanierter Stadtvilla</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106362748</td>\n",
       "      <td>12587</td>\n",
       "      <td>1620.441962</td>\n",
       "      <td>-320.441962</td>\n",
       "      <td>1699.797717</td>\n",
       "      <td>-399.797717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3120</th>\n",
       "      <td>Schirnerstr. 23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Stephan Dorgerloh</td>\n",
       "      <td>Altglienicke (Treptow)</td>\n",
       "      <td>130.00</td>\n",
       "      <td>0</td>\n",
       "      <td>93355803</td>\n",
       "      <td>...</td>\n",
       "      <td>817.50</td>\n",
       "      <td>3.0</td>\n",
       "      <td>109.00</td>\n",
       "      <td>Ruhige geräumige Dreizimmerwohnung mit Galerie...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/93355803</td>\n",
       "      <td>12524</td>\n",
       "      <td>1089.579779</td>\n",
       "      <td>-272.079779</td>\n",
       "      <td>1208.437812</td>\n",
       "      <td>-390.937812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Manteuffelstr. 57a</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Vermietungsteam Stadthaus Verwaltungsgesellschaft</td>\n",
       "      <td>Tempelhof (Tempelhof)</td>\n",
       "      <td>185.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105298708</td>\n",
       "      <td>...</td>\n",
       "      <td>744.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>111.30</td>\n",
       "      <td>Tempelhof! Bosepark! Attraktive 3 Zimmerwohnun...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105298708</td>\n",
       "      <td>12103</td>\n",
       "      <td>1139.361659</td>\n",
       "      <td>-395.361659</td>\n",
       "      <td>1133.836197</td>\n",
       "      <td>-389.836197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1309</th>\n",
       "      <td>Pölnitzweg 1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Liz Geithner</td>\n",
       "      <td>Buch (Pankow)</td>\n",
       "      <td>551.53</td>\n",
       "      <td>1</td>\n",
       "      <td>106517654</td>\n",
       "      <td>...</td>\n",
       "      <td>1307.91</td>\n",
       "      <td>4.0</td>\n",
       "      <td>157.58</td>\n",
       "      <td>Erstbezug: Große Familienwohnung auf 157qm, Li...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106517654</td>\n",
       "      <td>13125</td>\n",
       "      <td>1673.310606</td>\n",
       "      <td>-365.400606</td>\n",
       "      <td>1694.786044</td>\n",
       "      <td>-386.876044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>911</th>\n",
       "      <td>Germaniapromenade 26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Steffen Haagen</td>\n",
       "      <td>Britz (Neukölln)</td>\n",
       "      <td>200.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106483488</td>\n",
       "      <td>...</td>\n",
       "      <td>416.58</td>\n",
       "      <td>2.0</td>\n",
       "      <td>67.01</td>\n",
       "      <td>Sonnige 2 Zimmer Dachgeschosswohnung in Berlin...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106483488</td>\n",
       "      <td>12347</td>\n",
       "      <td>773.993156</td>\n",
       "      <td>-357.413156</td>\n",
       "      <td>801.613492</td>\n",
       "      <td>-385.033492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3266</th>\n",
       "      <td>Schlieperstr. 33</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Susanne Hess</td>\n",
       "      <td>Tegel (Reinickendorf)</td>\n",
       "      <td>140.00</td>\n",
       "      <td>0</td>\n",
       "      <td>66036454</td>\n",
       "      <td>...</td>\n",
       "      <td>830.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>107.00</td>\n",
       "      <td>Sonnige 3-Zimmer Dachgeschosswohnung für Nicht...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/66036454</td>\n",
       "      <td>13507</td>\n",
       "      <td>1067.611074</td>\n",
       "      <td>-237.611074</td>\n",
       "      <td>1214.276892</td>\n",
       "      <td>-384.276892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>634</th>\n",
       "      <td>Otto-Nagel-Straße 19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Daniel Kerem</td>\n",
       "      <td>Biesdorf (Marzahn)</td>\n",
       "      <td>400.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106338432</td>\n",
       "      <td>...</td>\n",
       "      <td>1070.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>134.00</td>\n",
       "      <td>Schöner Wohnen nahe Schlosspark Biesdorf! *BES...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106338432</td>\n",
       "      <td>12683</td>\n",
       "      <td>1447.918941</td>\n",
       "      <td>-377.918941</td>\n",
       "      <td>1451.244253</td>\n",
       "      <td>-381.244253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1073</th>\n",
       "      <td>Pasewalker Straße 7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Silvia Schünemann</td>\n",
       "      <td>Wedding (Wedding)</td>\n",
       "      <td>320.25</td>\n",
       "      <td>0</td>\n",
       "      <td>106594478</td>\n",
       "      <td>...</td>\n",
       "      <td>681.28</td>\n",
       "      <td>4.0</td>\n",
       "      <td>106.45</td>\n",
       "      <td>Helle 4 Zimmer Wohnung</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106594478</td>\n",
       "      <td>13347</td>\n",
       "      <td>1070.969880</td>\n",
       "      <td>-389.689880</td>\n",
       "      <td>1059.410746</td>\n",
       "      <td>-378.130746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1561</th>\n",
       "      <td>Arndtstr. 41A</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Thomas Duwe</td>\n",
       "      <td>Adlershof (Treptow)</td>\n",
       "      <td>240.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106383920</td>\n",
       "      <td>...</td>\n",
       "      <td>712.50</td>\n",
       "      <td>3.0</td>\n",
       "      <td>95.00</td>\n",
       "      <td>Arndtstr.41 A 3 Zimmerwohnung</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106383920</td>\n",
       "      <td>12489</td>\n",
       "      <td>1007.115022</td>\n",
       "      <td>-294.615022</td>\n",
       "      <td>1081.178168</td>\n",
       "      <td>-368.678168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3047</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Bartosz Makala</td>\n",
       "      <td>Bohnsdorf (Treptow)</td>\n",
       "      <td>307.59</td>\n",
       "      <td>1</td>\n",
       "      <td>98459916</td>\n",
       "      <td>...</td>\n",
       "      <td>1070.01</td>\n",
       "      <td>3.0</td>\n",
       "      <td>123.00</td>\n",
       "      <td>Wohnen im Grünen! Komfortable 3-Zimmerwohnung ...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/98459916</td>\n",
       "      <td>12526</td>\n",
       "      <td>1314.676887</td>\n",
       "      <td>-244.666887</td>\n",
       "      <td>1436.145355</td>\n",
       "      <td>-366.135355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>956</th>\n",
       "      <td>Pillnitzer Weg 11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Staaken (Spandau)</td>\n",
       "      <td>360.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106618194</td>\n",
       "      <td>...</td>\n",
       "      <td>535.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>87.41</td>\n",
       "      <td>große 4 Zimmer Wohnung mit Balkon und Keller</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106618194</td>\n",
       "      <td>13593</td>\n",
       "      <td>861.827812</td>\n",
       "      <td>-326.827812</td>\n",
       "      <td>890.719214</td>\n",
       "      <td>-355.719214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1362</th>\n",
       "      <td>Rathenaustr. 14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Vermietungsteam Stadthaus Verwaltungsgesellschaft</td>\n",
       "      <td>Oberschöneweide (Köpenick)</td>\n",
       "      <td>204.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106508144</td>\n",
       "      <td>...</td>\n",
       "      <td>695.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>97.47</td>\n",
       "      <td>An der Wuhlheide! - wunderschöne 3 Zimmerwohnu...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106508144</td>\n",
       "      <td>12459</td>\n",
       "      <td>1046.660551</td>\n",
       "      <td>-351.660551</td>\n",
       "      <td>1047.207830</td>\n",
       "      <td>-352.207830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>Holländerstraße 18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Christel Neumann</td>\n",
       "      <td>Reinickendorf (Reinickendorf)</td>\n",
       "      <td>180.00</td>\n",
       "      <td>0</td>\n",
       "      <td>100213638</td>\n",
       "      <td>...</td>\n",
       "      <td>1320.00</td>\n",
       "      <td>4.5</td>\n",
       "      <td>165.00</td>\n",
       "      <td>Erstbezug nach Komplettsanierung</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/100213638</td>\n",
       "      <td>13407</td>\n",
       "      <td>1678.983246</td>\n",
       "      <td>-358.983246</td>\n",
       "      <td>1669.931438</td>\n",
       "      <td>-349.931438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3203</th>\n",
       "      <td>Kirchhainer Damm 104</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sven - Olaf Knoche</td>\n",
       "      <td>Lichtenrade (Tempelhof)</td>\n",
       "      <td>475.00</td>\n",
       "      <td>0</td>\n",
       "      <td>84347003</td>\n",
       "      <td>...</td>\n",
       "      <td>1499.00</td>\n",
       "      <td>5.5</td>\n",
       "      <td>190.00</td>\n",
       "      <td>Herrschaftliche Villenetage mit sonnigem Südba...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/84347003</td>\n",
       "      <td>12309</td>\n",
       "      <td>2010.029710</td>\n",
       "      <td>-511.029710</td>\n",
       "      <td>1848.630580</td>\n",
       "      <td>-349.630580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3225</th>\n",
       "      <td>Lynarstrasse 9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Vermietungsteam Stadthaus Verwaltungsgesellschaft</td>\n",
       "      <td>Spandau (Spandau)</td>\n",
       "      <td>289.00</td>\n",
       "      <td>0</td>\n",
       "      <td>79157087</td>\n",
       "      <td>...</td>\n",
       "      <td>690.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>101.84</td>\n",
       "      <td>Lutherplatz! sehr schöne 3 Zimmer - Wannenbad ...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/79157087</td>\n",
       "      <td>13585</td>\n",
       "      <td>1088.574657</td>\n",
       "      <td>-398.574657</td>\n",
       "      <td>1036.140755</td>\n",
       "      <td>-346.140755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3281</th>\n",
       "      <td>Goldammerstr. 10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Hausverwaltung Bredemeier</td>\n",
       "      <td>Buckow (Neukölln)</td>\n",
       "      <td>273.50</td>\n",
       "      <td>0</td>\n",
       "      <td>61471168</td>\n",
       "      <td>...</td>\n",
       "      <td>521.50</td>\n",
       "      <td>2.0</td>\n",
       "      <td>77.26</td>\n",
       "      <td>Bes. So. 19.08. um 15:00 Uhr, Wunderschöne 2-Z...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/61471168</td>\n",
       "      <td>12351</td>\n",
       "      <td>845.871975</td>\n",
       "      <td>-324.371975</td>\n",
       "      <td>867.512634</td>\n",
       "      <td>-346.012634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3097</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Charlottenburg (Charlottenburg)</td>\n",
       "      <td>195.00</td>\n",
       "      <td>0</td>\n",
       "      <td>94876407</td>\n",
       "      <td>...</td>\n",
       "      <td>1716.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>78.00</td>\n",
       "      <td>Kernsanierte, möblierte 2-Zimmer Altbauwohnung...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/94876407</td>\n",
       "      <td>10625</td>\n",
       "      <td>847.912882</td>\n",
       "      <td>868.087118</td>\n",
       "      <td>824.674952</td>\n",
       "      <td>891.325048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3103</th>\n",
       "      <td>Chausseestr. 37 C 2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>94643506</td>\n",
       "      <td>...</td>\n",
       "      <td>1400.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>43.90</td>\n",
       "      <td>Wong Deso Apartment in the heart of Berlin - W...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/94643506</td>\n",
       "      <td>10115</td>\n",
       "      <td>479.433982</td>\n",
       "      <td>920.566018</td>\n",
       "      <td>508.236661</td>\n",
       "      <td>891.763339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2761</th>\n",
       "      <td>Französische Straße 56</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Juliane Nestler</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>280.00</td>\n",
       "      <td>0</td>\n",
       "      <td>104641955</td>\n",
       "      <td>...</td>\n",
       "      <td>1974.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>94.00</td>\n",
       "      <td>Wohnen nahe Lafayette *  Bestlage * zentral &amp; ...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/104641955</td>\n",
       "      <td>10117</td>\n",
       "      <td>1002.457335</td>\n",
       "      <td>971.542665</td>\n",
       "      <td>1081.837332</td>\n",
       "      <td>892.162668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2731</th>\n",
       "      <td>Boxhagener Straße 35</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>D. Schlösser</td>\n",
       "      <td>Friedrichshain (Friedrichshain)</td>\n",
       "      <td>260.00</td>\n",
       "      <td>0</td>\n",
       "      <td>104743642</td>\n",
       "      <td>...</td>\n",
       "      <td>1931.16</td>\n",
       "      <td>2.0</td>\n",
       "      <td>87.78</td>\n",
       "      <td>Über den Dächern in Friedrichshain - Neubau - ...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/104743642</td>\n",
       "      <td>10245</td>\n",
       "      <td>961.427361</td>\n",
       "      <td>969.732639</td>\n",
       "      <td>1022.490084</td>\n",
       "      <td>908.669916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2428</th>\n",
       "      <td>Gabriele-Tergit-Promenade 21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Juliane Nestler</td>\n",
       "      <td>Tiergarten (Tiergarten)</td>\n",
       "      <td>300.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105627584</td>\n",
       "      <td>...</td>\n",
       "      <td>1900.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>94.60</td>\n",
       "      <td>Wohnen mit tollem Ausblick * Potsdamer Platz *...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105627584</td>\n",
       "      <td>10963</td>\n",
       "      <td>1015.135460</td>\n",
       "      <td>884.864540</td>\n",
       "      <td>976.263086</td>\n",
       "      <td>923.736914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1721</th>\n",
       "      <td>Stralauer Platz 35</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Manuela von Mallinckrodt</td>\n",
       "      <td>Friedrichshain (Friedrichshain)</td>\n",
       "      <td>193.53</td>\n",
       "      <td>0</td>\n",
       "      <td>106320942</td>\n",
       "      <td>...</td>\n",
       "      <td>1780.43</td>\n",
       "      <td>3.0</td>\n",
       "      <td>77.41</td>\n",
       "      <td>SONNIGE 3 ZIMMER in FHAIN - mit Südbalkon und ...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106320942</td>\n",
       "      <td>10243</td>\n",
       "      <td>826.314444</td>\n",
       "      <td>954.115556</td>\n",
       "      <td>852.967836</td>\n",
       "      <td>927.462164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3136</th>\n",
       "      <td>Krausenstr. 37</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>299.00</td>\n",
       "      <td>0</td>\n",
       "      <td>92249224</td>\n",
       "      <td>...</td>\n",
       "      <td>1590.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>60.00</td>\n",
       "      <td>Erstbezug! Möblierte Neubauwohnung in Mitte Sc...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/92249224</td>\n",
       "      <td>10117</td>\n",
       "      <td>656.282054</td>\n",
       "      <td>933.717946</td>\n",
       "      <td>659.935269</td>\n",
       "      <td>930.064731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1901</th>\n",
       "      <td>Stralauer Platz 38/39</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Manuela von Mallinckrodt</td>\n",
       "      <td>Friedrichshain (Friedrichshain)</td>\n",
       "      <td>195.55</td>\n",
       "      <td>0</td>\n",
       "      <td>106217845</td>\n",
       "      <td>...</td>\n",
       "      <td>1740.40</td>\n",
       "      <td>3.0</td>\n",
       "      <td>78.22</td>\n",
       "      <td>Sightseeing vom Balkon - 3 Zimmer mit Einbaukü...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106217845</td>\n",
       "      <td>10243</td>\n",
       "      <td>835.211769</td>\n",
       "      <td>905.188231</td>\n",
       "      <td>809.145354</td>\n",
       "      <td>931.254646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>824</th>\n",
       "      <td>Gabriele-Tergit-Promenade 21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Guido Bars</td>\n",
       "      <td>Tiergarten (Tiergarten)</td>\n",
       "      <td>266.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106245148</td>\n",
       "      <td>...</td>\n",
       "      <td>1600.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>63.00</td>\n",
       "      <td>Schöne, geräumige zwei Zimmer Wohnung in Berli...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106245148</td>\n",
       "      <td>10785</td>\n",
       "      <td>611.592271</td>\n",
       "      <td>988.407729</td>\n",
       "      <td>663.161742</td>\n",
       "      <td>936.838258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1306</th>\n",
       "      <td>Kaiserstr. 4c</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lichterfelde (Steglitz)</td>\n",
       "      <td>114.74</td>\n",
       "      <td>1</td>\n",
       "      <td>106518343</td>\n",
       "      <td>...</td>\n",
       "      <td>1835.76</td>\n",
       "      <td>2.0</td>\n",
       "      <td>76.49</td>\n",
       "      <td>Erstbezug in einem KfW-55 Neubau! Hochwertig m...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106518343</td>\n",
       "      <td>12209</td>\n",
       "      <td>878.124816</td>\n",
       "      <td>957.635184</td>\n",
       "      <td>896.597248</td>\n",
       "      <td>939.162752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2844</th>\n",
       "      <td>Zillestraße 107</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Ioannis Tzakris</td>\n",
       "      <td>Charlottenburg (Charlottenburg)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>104028928</td>\n",
       "      <td>...</td>\n",
       "      <td>1980.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>96.00</td>\n",
       "      <td>Hochwertig eingerichtete sanierte Altbauwohnun...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/104028928</td>\n",
       "      <td>10585</td>\n",
       "      <td>1030.513553</td>\n",
       "      <td>949.486447</td>\n",
       "      <td>1036.969495</td>\n",
       "      <td>943.030505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2565</th>\n",
       "      <td>Gabriele-Tergit-Promenade 21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sascha Lobeck</td>\n",
       "      <td>Tiergarten (Tiergarten)</td>\n",
       "      <td>315.00</td>\n",
       "      <td>1</td>\n",
       "      <td>105322837</td>\n",
       "      <td>...</td>\n",
       "      <td>1750.00</td>\n",
       "      <td>2.5</td>\n",
       "      <td>70.00</td>\n",
       "      <td>Concierge-Erstbezug in exklusiver Lage - HIGH-...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105322837</td>\n",
       "      <td>10963</td>\n",
       "      <td>796.233778</td>\n",
       "      <td>953.766222</td>\n",
       "      <td>797.074599</td>\n",
       "      <td>952.925401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>774</th>\n",
       "      <td>Puccinistr. 32</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Ernst Konrad</td>\n",
       "      <td>Weißensee (Weißensee)</td>\n",
       "      <td>100.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106382335</td>\n",
       "      <td>...</td>\n",
       "      <td>1500.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>50.00</td>\n",
       "      <td>Wohnen auf Zeit 2 ZKB Loft in begehrter Umgebu...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106382335</td>\n",
       "      <td>13088</td>\n",
       "      <td>462.708177</td>\n",
       "      <td>1037.291823</td>\n",
       "      <td>543.395289</td>\n",
       "      <td>956.604711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Petra Hubertus</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>200.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106297883</td>\n",
       "      <td>...</td>\n",
       "      <td>1500.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>45.60</td>\n",
       "      <td>die perfekte single-dg-whg. in mitte am gipsdr...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106297883</td>\n",
       "      <td>10119</td>\n",
       "      <td>498.107381</td>\n",
       "      <td>1001.892619</td>\n",
       "      <td>539.966823</td>\n",
       "      <td>960.033177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2990</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Eva-Jannetje Gerlach</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>101605702</td>\n",
       "      <td>...</td>\n",
       "      <td>1700.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>65.00</td>\n",
       "      <td>5706 - Chausseestraße - Geschmackvolles und so...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/101605702</td>\n",
       "      <td>10115</td>\n",
       "      <td>711.203816</td>\n",
       "      <td>988.796184</td>\n",
       "      <td>733.629470</td>\n",
       "      <td>966.370530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>631</th>\n",
       "      <td>Swinemünder Straße 5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Julia Schirrmeister</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>220.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106343116</td>\n",
       "      <td>...</td>\n",
       "      <td>1980.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>86.79</td>\n",
       "      <td>Modernisierte drei Zimmer Wohnung am Arkonapla...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106343116</td>\n",
       "      <td>10435</td>\n",
       "      <td>929.347668</td>\n",
       "      <td>1050.652332</td>\n",
       "      <td>1002.075399</td>\n",
       "      <td>977.924601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Hendrik Schmidt</td>\n",
       "      <td>Kreuzberg (Kreuzberg)</td>\n",
       "      <td>250.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106188446</td>\n",
       "      <td>...</td>\n",
       "      <td>1650.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>55.51</td>\n",
       "      <td>Hochwertig möblierte Wohnung / 6-24 Monate</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106188446</td>\n",
       "      <td>10963</td>\n",
       "      <td>647.673105</td>\n",
       "      <td>1002.326895</td>\n",
       "      <td>665.702228</td>\n",
       "      <td>984.297772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1727</th>\n",
       "      <td>Stralauer Platz 35</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Manuela von Mallinckrodt</td>\n",
       "      <td>Friedrichshain (Friedrichshain)</td>\n",
       "      <td>195.55</td>\n",
       "      <td>0</td>\n",
       "      <td>106320084</td>\n",
       "      <td>...</td>\n",
       "      <td>1799.06</td>\n",
       "      <td>3.0</td>\n",
       "      <td>78.22</td>\n",
       "      <td>GRANDIOSER AUSBLICK - 3 Zimmer mit vollausgest...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106320084</td>\n",
       "      <td>10243</td>\n",
       "      <td>835.211769</td>\n",
       "      <td>963.848231</td>\n",
       "      <td>809.145354</td>\n",
       "      <td>989.914646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Charlottenburg (Charlottenburg)</td>\n",
       "      <td>199.70</td>\n",
       "      <td>0</td>\n",
       "      <td>106535547</td>\n",
       "      <td>...</td>\n",
       "      <td>1850.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>77.20</td>\n",
       "      <td>Charlottenburg:Lietzensee:helles Dachgeschoss,...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106535547</td>\n",
       "      <td>14057</td>\n",
       "      <td>824.007730</td>\n",
       "      <td>1025.992270</td>\n",
       "      <td>846.057328</td>\n",
       "      <td>1003.942672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1792</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Friedrichshain (Friedrichshain)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106290819</td>\n",
       "      <td>...</td>\n",
       "      <td>1680.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>55.00</td>\n",
       "      <td>helle, möblierte Mietwohnung direkt im Friedri...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106290819</td>\n",
       "      <td>10245</td>\n",
       "      <td>601.360292</td>\n",
       "      <td>1078.639708</td>\n",
       "      <td>626.424434</td>\n",
       "      <td>1053.575566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3135</th>\n",
       "      <td>Krausenstr. 37</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>350.00</td>\n",
       "      <td>0</td>\n",
       "      <td>92249264</td>\n",
       "      <td>...</td>\n",
       "      <td>1750.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>67.00</td>\n",
       "      <td>Erstbezug !Möblierte Neubauwohnung in Mitte nä...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/92249264</td>\n",
       "      <td>10117</td>\n",
       "      <td>711.967336</td>\n",
       "      <td>1038.032664</td>\n",
       "      <td>690.052123</td>\n",
       "      <td>1059.947877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Petra Hubertus reco immobilienbüro</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>134.51</td>\n",
       "      <td>0</td>\n",
       "      <td>104969872</td>\n",
       "      <td>...</td>\n",
       "      <td>1500.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>39.00</td>\n",
       "      <td>sophienstraße 1 zi-apt. mit südterrasse und ko...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/104969872</td>\n",
       "      <td>10178</td>\n",
       "      <td>446.815840</td>\n",
       "      <td>1053.184160</td>\n",
       "      <td>434.713289</td>\n",
       "      <td>1065.286711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Petra Hubertus reco immobilienbüro</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>134.51</td>\n",
       "      <td>0</td>\n",
       "      <td>105923967</td>\n",
       "      <td>...</td>\n",
       "      <td>1500.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>39.00</td>\n",
       "      <td>sophienstraße 1 zi-apt. mit südterrasse und ko...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105923967</td>\n",
       "      <td>10178</td>\n",
       "      <td>446.815840</td>\n",
       "      <td>1053.184160</td>\n",
       "      <td>434.713289</td>\n",
       "      <td>1065.286711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>Wühlischstraße 29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Julian Karwath</td>\n",
       "      <td>Friedrichshain (Friedrichshain)</td>\n",
       "      <td>150.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106095319</td>\n",
       "      <td>...</td>\n",
       "      <td>1900.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>80.00</td>\n",
       "      <td>Schöne, geräumige zwei Zimmer Wohnung in Berli...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106095319</td>\n",
       "      <td>10245</td>\n",
       "      <td>745.201289</td>\n",
       "      <td>1154.798711</td>\n",
       "      <td>773.452442</td>\n",
       "      <td>1126.547558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3095</th>\n",
       "      <td>Mühlenstraße 60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Olaf  Ruhnke</td>\n",
       "      <td>Friedrichshain (Friedrichshain)</td>\n",
       "      <td>200.00</td>\n",
       "      <td>0</td>\n",
       "      <td>95250533</td>\n",
       "      <td>...</td>\n",
       "      <td>1790.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>60.00</td>\n",
       "      <td>Spektakuläres Wohnen über der Eastside Gallery</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/95250533</td>\n",
       "      <td>10245</td>\n",
       "      <td>656.282054</td>\n",
       "      <td>1133.717946</td>\n",
       "      <td>659.935269</td>\n",
       "      <td>1130.064731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3224</th>\n",
       "      <td>Otto-Braun Strasse 67</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Renting  Team Berlin</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>79469157</td>\n",
       "      <td>...</td>\n",
       "      <td>1490.00</td>\n",
       "      <td>1.5</td>\n",
       "      <td>21.00</td>\n",
       "      <td>Möbliertes Junior Studio Apartment in Berlin M...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/79469157</td>\n",
       "      <td>10178</td>\n",
       "      <td>232.407392</td>\n",
       "      <td>1257.592608</td>\n",
       "      <td>342.208134</td>\n",
       "      <td>1147.791866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1293</th>\n",
       "      <td>Kaiserstr. 4c</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lichterfelde (Steglitz)</td>\n",
       "      <td>100.71</td>\n",
       "      <td>1</td>\n",
       "      <td>106519517</td>\n",
       "      <td>...</td>\n",
       "      <td>1979.64</td>\n",
       "      <td>2.0</td>\n",
       "      <td>67.14</td>\n",
       "      <td>Drei Terrassen! Möblierte Neubau-Wohnung mit A...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106519517</td>\n",
       "      <td>12209</td>\n",
       "      <td>775.421122</td>\n",
       "      <td>1204.218878</td>\n",
       "      <td>806.222824</td>\n",
       "      <td>1173.417176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3222</th>\n",
       "      <td>Otto-Braun Strasse 67</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Renting  Team Berlin</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>79469592</td>\n",
       "      <td>...</td>\n",
       "      <td>1690.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>25.00</td>\n",
       "      <td>Möbliertes Mini 1 Bedroom Apartment in Berlin ...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/79469592</td>\n",
       "      <td>10178</td>\n",
       "      <td>286.947393</td>\n",
       "      <td>1403.052607</td>\n",
       "      <td>358.741515</td>\n",
       "      <td>1331.258485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3221</th>\n",
       "      <td>Otto-Braun Strasse 67</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Renting  Team Berlin</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>79469862</td>\n",
       "      <td>...</td>\n",
       "      <td>1790.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.00</td>\n",
       "      <td>Möbliertes Junior 1 Bedroom Apartment in Berli...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/79469862</td>\n",
       "      <td>10178</td>\n",
       "      <td>364.601380</td>\n",
       "      <td>1425.398620</td>\n",
       "      <td>404.547534</td>\n",
       "      <td>1385.452466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3223</th>\n",
       "      <td>Otto-Braun Strasse 67</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Renting  Team Berlin</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>79469490</td>\n",
       "      <td>...</td>\n",
       "      <td>1990.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>30.00</td>\n",
       "      <td>Möbliertes Senior Grand Apartment in Berlin Mi...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/79469490</td>\n",
       "      <td>10178</td>\n",
       "      <td>326.751485</td>\n",
       "      <td>1663.248515</td>\n",
       "      <td>424.124734</td>\n",
       "      <td>1565.875266</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2993 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           address  area  balcony  cellar    city  \\\n",
       "936                 Wattstrasse 11   NaN        0     NaN  Berlin   \n",
       "3245        Luckenwalder Straße 70   NaN        1     NaN  Berlin   \n",
       "1334        Sakrower Landstraße 23   NaN        1     NaN  Berlin   \n",
       "916                            NaN   NaN        1     NaN  Berlin   \n",
       "902               Königsseestr. 10   NaN        1     NaN  Berlin   \n",
       "335                     Cunostr. 8   NaN        1     NaN  Berlin   \n",
       "3234         Zwieseler Str. 40-40d   NaN        1     NaN  Berlin   \n",
       "3300                 Stresowstr. 4   NaN        1     NaN  Berlin   \n",
       "997            Hohenzollerndamm 89   NaN        1     NaN  Berlin   \n",
       "3257                           NaN   NaN        0     NaN  Berlin   \n",
       "2605                  Lynarstr. 25   NaN        1     NaN  Berlin   \n",
       "1123                           NaN   NaN        0     NaN  Berlin   \n",
       "2969                           NaN   NaN        1     NaN  Berlin   \n",
       "2390          Schildhornstrasse 77   NaN        1     NaN  Berlin   \n",
       "871                 Lindenallee 27   NaN        1     NaN  Berlin   \n",
       "3120               Schirnerstr. 23   NaN        0     NaN  Berlin   \n",
       "22              Manteuffelstr. 57a   NaN        0     NaN  Berlin   \n",
       "1309                  Pölnitzweg 1   NaN        1     NaN  Berlin   \n",
       "911           Germaniapromenade 26   NaN        1     NaN  Berlin   \n",
       "3266              Schlieperstr. 33   NaN        0     NaN  Berlin   \n",
       "634           Otto-Nagel-Straße 19   NaN        1     NaN  Berlin   \n",
       "1073           Pasewalker Straße 7   NaN        1     NaN  Berlin   \n",
       "1561                 Arndtstr. 41A   NaN        1     NaN  Berlin   \n",
       "3047                           NaN   NaN        1     NaN  Berlin   \n",
       "956              Pillnitzer Weg 11   NaN        1     NaN  Berlin   \n",
       "1362               Rathenaustr. 14   NaN        1     NaN  Berlin   \n",
       "695             Holländerstraße 18   NaN        1     NaN  Berlin   \n",
       "3203          Kirchhainer Damm 104   NaN        1     NaN  Berlin   \n",
       "3225                Lynarstrasse 9   NaN        0     NaN  Berlin   \n",
       "3281              Goldammerstr. 10   NaN        1     NaN  Berlin   \n",
       "...                            ...   ...      ...     ...     ...   \n",
       "3097                           NaN   NaN        0     NaN  Berlin   \n",
       "3103           Chausseestr. 37 C 2   NaN        1     NaN  Berlin   \n",
       "2761        Französische Straße 56   NaN        0     NaN  Berlin   \n",
       "2731          Boxhagener Straße 35   NaN        1     NaN  Berlin   \n",
       "2428  Gabriele-Tergit-Promenade 21   NaN        1     NaN  Berlin   \n",
       "1721            Stralauer Platz 35   NaN        1     NaN  Berlin   \n",
       "3136                Krausenstr. 37   NaN        1     NaN  Berlin   \n",
       "1901         Stralauer Platz 38/39   NaN        1     NaN  Berlin   \n",
       "824   Gabriele-Tergit-Promenade 21   NaN        1     NaN  Berlin   \n",
       "1306                 Kaiserstr. 4c   NaN        1     NaN  Berlin   \n",
       "2844               Zillestraße 107   NaN        1     NaN  Berlin   \n",
       "2565  Gabriele-Tergit-Promenade 21   NaN        1     NaN  Berlin   \n",
       "774                 Puccinistr. 32   NaN        0     NaN  Berlin   \n",
       "68                             NaN   NaN        1     NaN  Berlin   \n",
       "2990                           NaN   NaN        1     NaN  Berlin   \n",
       "631           Swinemünder Straße 5   NaN        1     NaN  Berlin   \n",
       "1962                           NaN   NaN        1     NaN  Berlin   \n",
       "1727            Stralauer Platz 35   NaN        1     NaN  Berlin   \n",
       "64                             NaN   NaN        1     NaN  Berlin   \n",
       "1792                           NaN   NaN        1     NaN  Berlin   \n",
       "3135                Krausenstr. 37   NaN        1     NaN  Berlin   \n",
       "27                             NaN   NaN        1     NaN  Berlin   \n",
       "67                             NaN   NaN        1     NaN  Berlin   \n",
       "146              Wühlischstraße 29   NaN        1     NaN  Berlin   \n",
       "3095               Mühlenstraße 60   NaN        1     NaN  Berlin   \n",
       "3224         Otto-Braun Strasse 67   NaN        0     NaN  Berlin   \n",
       "1293                 Kaiserstr. 4c   NaN        1     NaN  Berlin   \n",
       "3222         Otto-Braun Strasse 67   NaN        0     NaN  Berlin   \n",
       "3221         Otto-Braun Strasse 67   NaN        0     NaN  Berlin   \n",
       "3223         Otto-Braun Strasse 67   NaN        1     NaN  Berlin   \n",
       "\n",
       "                                           contact_name  \\\n",
       "936                                         Sarah Bauer   \n",
       "3245                      Vermietungsbüro \"Grüne Mitte\"   \n",
       "1334                                      Carola Dumont   \n",
       "916                                      Vanessa Laribi   \n",
       "902                                Christian Dabelstein   \n",
       "335                                    Carolin Vonderau   \n",
       "3234                                                NaN   \n",
       "3300                                      Marcel Reiche   \n",
       "997                                                 NaN   \n",
       "3257                                     Felix Thurmann   \n",
       "2605  Vermietungsteam Stadthaus Verwaltungsgesellschaft   \n",
       "1123                                     Marina Schulze   \n",
       "2969                                     Sylvie Winckel   \n",
       "2390                                        Hardy  Ney    \n",
       "871                                      Jessica Koenig   \n",
       "3120                                  Stephan Dorgerloh   \n",
       "22    Vermietungsteam Stadthaus Verwaltungsgesellschaft   \n",
       "1309                                       Liz Geithner   \n",
       "911                                      Steffen Haagen   \n",
       "3266                                       Susanne Hess   \n",
       "634                                        Daniel Kerem   \n",
       "1073                                  Silvia Schünemann   \n",
       "1561                                        Thomas Duwe   \n",
       "3047                                     Bartosz Makala   \n",
       "956                                                 NaN   \n",
       "1362  Vermietungsteam Stadthaus Verwaltungsgesellschaft   \n",
       "695                                    Christel Neumann   \n",
       "3203                                 Sven - Olaf Knoche   \n",
       "3225  Vermietungsteam Stadthaus Verwaltungsgesellschaft   \n",
       "3281                          Hausverwaltung Bredemeier   \n",
       "...                                                 ...   \n",
       "3097                                                NaN   \n",
       "3103                                                NaN   \n",
       "2761                                    Juliane Nestler   \n",
       "2731                                       D. Schlösser   \n",
       "2428                                    Juliane Nestler   \n",
       "1721                           Manuela von Mallinckrodt   \n",
       "3136                                                NaN   \n",
       "1901                           Manuela von Mallinckrodt   \n",
       "824                                          Guido Bars   \n",
       "1306                                                NaN   \n",
       "2844                                    Ioannis Tzakris   \n",
       "2565                                      Sascha Lobeck   \n",
       "774                                        Ernst Konrad   \n",
       "68                                       Petra Hubertus   \n",
       "2990                               Eva-Jannetje Gerlach   \n",
       "631                                 Julia Schirrmeister   \n",
       "1962                                    Hendrik Schmidt   \n",
       "1727                           Manuela von Mallinckrodt   \n",
       "64                                                  NaN   \n",
       "1792                                                NaN   \n",
       "3135                                                NaN   \n",
       "27                   Petra Hubertus reco immobilienbüro   \n",
       "67                   Petra Hubertus reco immobilienbüro   \n",
       "146                                      Julian Karwath   \n",
       "3095                                       Olaf  Ruhnke   \n",
       "3224                               Renting  Team Berlin   \n",
       "1293                                                NaN   \n",
       "3222                               Renting  Team Berlin   \n",
       "3221                               Renting  Team Berlin   \n",
       "3223                               Renting  Team Berlin   \n",
       "\n",
       "                             district  extra_costs  garden    immo_id  \\\n",
       "936        Oberschöneweide (Köpenick)       150.00       1  106621033   \n",
       "3245        Hellersdorf (Hellersdorf)       454.68       0   74225906   \n",
       "1334                 Kladow (Spandau)       300.00       1  106510836   \n",
       "916   Charlottenburg (Charlottenburg)       100.00       0  104559726   \n",
       "902                 Grünau (Köpenick)       241.00       1   98142202   \n",
       "335       Schmargendorf (Wilmersdorf)       454.60       0  106434812   \n",
       "3234         Karlshorst (Lichtenberg)       370.88       0   77198368   \n",
       "3300                Spandau (Spandau)       301.00       0   42788681   \n",
       "997       Schmargendorf (Wilmersdorf)       320.00       0  106614079   \n",
       "3257  Charlottenburg (Charlottenburg)       235.00       1   70405282   \n",
       "2605                Spandau (Spandau)       246.00       0  105189880   \n",
       "1123                 Rudow (Neukölln)       160.31       1  106588396   \n",
       "2969      Niederschöneweide (Treptow)       350.00       0  102237882   \n",
       "2390              Steglitz (Steglitz)       304.00       0  105725420   \n",
       "871        Friedrichshagen (Köpenick)       250.00       1  106362748   \n",
       "3120           Altglienicke (Treptow)       130.00       0   93355803   \n",
       "22              Tempelhof (Tempelhof)       185.00       0  105298708   \n",
       "1309                    Buch (Pankow)       551.53       1  106517654   \n",
       "911                  Britz (Neukölln)       200.00       1  106483488   \n",
       "3266            Tegel (Reinickendorf)       140.00       0   66036454   \n",
       "634                Biesdorf (Marzahn)       400.00       0  106338432   \n",
       "1073                Wedding (Wedding)       320.25       0  106594478   \n",
       "1561              Adlershof (Treptow)       240.00       1  106383920   \n",
       "3047              Bohnsdorf (Treptow)       307.59       1   98459916   \n",
       "956                 Staaken (Spandau)       360.00       0  106618194   \n",
       "1362       Oberschöneweide (Köpenick)       204.00       0  106508144   \n",
       "695     Reinickendorf (Reinickendorf)       180.00       0  100213638   \n",
       "3203          Lichtenrade (Tempelhof)       475.00       0   84347003   \n",
       "3225                Spandau (Spandau)       289.00       0   79157087   \n",
       "3281                Buckow (Neukölln)       273.50       0   61471168   \n",
       "...                               ...          ...     ...        ...   \n",
       "3097  Charlottenburg (Charlottenburg)       195.00       0   94876407   \n",
       "3103                    Mitte (Mitte)         0.00       0   94643506   \n",
       "2761                    Mitte (Mitte)       280.00       0  104641955   \n",
       "2731  Friedrichshain (Friedrichshain)       260.00       0  104743642   \n",
       "2428          Tiergarten (Tiergarten)       300.00       0  105627584   \n",
       "1721  Friedrichshain (Friedrichshain)       193.53       0  106320942   \n",
       "3136                    Mitte (Mitte)       299.00       0   92249224   \n",
       "1901  Friedrichshain (Friedrichshain)       195.55       0  106217845   \n",
       "824           Tiergarten (Tiergarten)       266.00       0  106245148   \n",
       "1306          Lichterfelde (Steglitz)       114.74       1  106518343   \n",
       "2844  Charlottenburg (Charlottenburg)         0.00       0  104028928   \n",
       "2565          Tiergarten (Tiergarten)       315.00       1  105322837   \n",
       "774             Weißensee (Weißensee)       100.00       0  106382335   \n",
       "68                      Mitte (Mitte)       200.00       0  106297883   \n",
       "2990                    Mitte (Mitte)         0.00       0  101605702   \n",
       "631                     Mitte (Mitte)       220.00       0  106343116   \n",
       "1962            Kreuzberg (Kreuzberg)       250.00       1  106188446   \n",
       "1727  Friedrichshain (Friedrichshain)       195.55       0  106320084   \n",
       "64    Charlottenburg (Charlottenburg)       199.70       0  106535547   \n",
       "1792  Friedrichshain (Friedrichshain)         0.00       0  106290819   \n",
       "3135                    Mitte (Mitte)       350.00       0   92249264   \n",
       "27                      Mitte (Mitte)       134.51       0  104969872   \n",
       "67                      Mitte (Mitte)       134.51       0  105923967   \n",
       "146   Friedrichshain (Friedrichshain)       150.00       0  106095319   \n",
       "3095  Friedrichshain (Friedrichshain)       200.00       0   95250533   \n",
       "3224                    Mitte (Mitte)         0.00       0   79469157   \n",
       "1293          Lichterfelde (Steglitz)       100.71       1  106519517   \n",
       "3222                    Mitte (Mitte)         0.00       0   79469592   \n",
       "3221                    Mitte (Mitte)         0.00       0   79469862   \n",
       "3223                    Mitte (Mitte)         0.00       0   79469490   \n",
       "\n",
       "         ...          rent  rooms     sqm  \\\n",
       "936      ...        828.00    4.0  120.00   \n",
       "3245     ...       1182.16    4.0  181.87   \n",
       "1334     ...       1018.64    5.0  133.68   \n",
       "916      ...       1250.00    4.0  155.00   \n",
       "902      ...        953.00    2.0  112.08   \n",
       "335      ...       1006.12    4.0  133.71   \n",
       "3234     ...        799.71    2.0  115.90   \n",
       "3300     ...        629.45    3.0   91.49   \n",
       "997      ...       1300.00    5.5  153.00   \n",
       "3257     ...        812.00    4.5  116.00   \n",
       "2605     ...        953.00    4.0  118.20   \n",
       "1123     ...        605.00    2.0   86.00   \n",
       "2969     ...       1299.00    4.0  162.33   \n",
       "2390     ...        658.66    4.0   98.75   \n",
       "871      ...       1300.00    3.0  146.00   \n",
       "3120     ...        817.50    3.0  109.00   \n",
       "22       ...        744.00    3.0  111.30   \n",
       "1309     ...       1307.91    4.0  157.58   \n",
       "911      ...        416.58    2.0   67.01   \n",
       "3266     ...        830.00    3.0  107.00   \n",
       "634      ...       1070.00    3.0  134.00   \n",
       "1073     ...        681.28    4.0  106.45   \n",
       "1561     ...        712.50    3.0   95.00   \n",
       "3047     ...       1070.01    3.0  123.00   \n",
       "956      ...        535.00    4.0   87.41   \n",
       "1362     ...        695.00    3.0   97.47   \n",
       "695      ...       1320.00    4.5  165.00   \n",
       "3203     ...       1499.00    5.5  190.00   \n",
       "3225     ...        690.00    3.0  101.84   \n",
       "3281     ...        521.50    2.0   77.26   \n",
       "...      ...           ...    ...     ...   \n",
       "3097     ...       1716.00    2.0   78.00   \n",
       "3103     ...       1400.00    2.0   43.90   \n",
       "2761     ...       1974.00    3.0   94.00   \n",
       "2731     ...       1931.16    2.0   87.78   \n",
       "2428     ...       1900.00    3.0   94.60   \n",
       "1721     ...       1780.43    3.0   77.41   \n",
       "3136     ...       1590.00    2.0   60.00   \n",
       "1901     ...       1740.40    3.0   78.22   \n",
       "824      ...       1600.00    2.0   63.00   \n",
       "1306     ...       1835.76    2.0   76.49   \n",
       "2844     ...       1980.00    3.0   96.00   \n",
       "2565     ...       1750.00    2.5   70.00   \n",
       "774      ...       1500.00    2.0   50.00   \n",
       "68       ...       1500.00    2.0   45.60   \n",
       "2990     ...       1700.00    2.0   65.00   \n",
       "631      ...       1980.00    3.0   86.79   \n",
       "1962     ...       1650.00    2.0   55.51   \n",
       "1727     ...       1799.06    3.0   78.22   \n",
       "64       ...       1850.00    3.0   77.20   \n",
       "1792     ...       1680.00    2.0   55.00   \n",
       "3135     ...       1750.00    3.0   67.00   \n",
       "27       ...       1500.00    1.0   39.00   \n",
       "67       ...       1500.00    1.0   39.00   \n",
       "146      ...       1900.00    2.0   80.00   \n",
       "3095     ...       1790.00    2.0   60.00   \n",
       "3224     ...       1490.00    1.5   21.00   \n",
       "1293     ...       1979.64    2.0   67.14   \n",
       "3222     ...       1690.00    1.0   25.00   \n",
       "3221     ...       1790.00    2.0   34.00   \n",
       "3223     ...       1990.00    2.0   30.00   \n",
       "\n",
       "                                                  title  \\\n",
       "936   Charismatisches Dachgeschoss mit viel Platz in...   \n",
       "3245        Toller Ausblick auf 2 Etagen mit 2 Balkonen   \n",
       "1334          Maisonette Wohnung im Kladower Ortskern !   \n",
       "916   Stilvolle, geräumige und gepflegte 4-Zimmer-Wo...   \n",
       "902   Grünau: helle, ruhige 2 Zi. mit Garten am Wass...   \n",
       "335   Helles Wohnen in großzügiger Wohnung in Schmar...   \n",
       "3234             Wohnen über den Dächern von Karlshorst   \n",
       "3300  3- Zi-Wohnung mit Balkon in Berlin Spandau, au...   \n",
       "997               geräumige 5-Zimmerwohnung am Roseneck   \n",
       "3257  ruhige 116 qm Souterrainwohnung im Villenviert...   \n",
       "2605  Spandau Lutherplatz! 4 Zimmer - Wassernähe - B...   \n",
       "1123  Kuschliges 2-Zimmer Dachgeschoss in Berlin-Rud...   \n",
       "2969  Sehr repräsentativ – Eckwohnung am Bahnhof Sch...   \n",
       "2390  4-Zi. Loggia-Balkonwohnung nahe Schloßstr. (WB...   \n",
       "871     Wohlfühlen für Familien in Sanierter Stadtvilla   \n",
       "3120  Ruhige geräumige Dreizimmerwohnung mit Galerie...   \n",
       "22    Tempelhof! Bosepark! Attraktive 3 Zimmerwohnun...   \n",
       "1309  Erstbezug: Große Familienwohnung auf 157qm, Li...   \n",
       "911   Sonnige 2 Zimmer Dachgeschosswohnung in Berlin...   \n",
       "3266  Sonnige 3-Zimmer Dachgeschosswohnung für Nicht...   \n",
       "634   Schöner Wohnen nahe Schlosspark Biesdorf! *BES...   \n",
       "1073                             Helle 4 Zimmer Wohnung   \n",
       "1561                      Arndtstr.41 A 3 Zimmerwohnung   \n",
       "3047  Wohnen im Grünen! Komfortable 3-Zimmerwohnung ...   \n",
       "956        große 4 Zimmer Wohnung mit Balkon und Keller   \n",
       "1362  An der Wuhlheide! - wunderschöne 3 Zimmerwohnu...   \n",
       "695                    Erstbezug nach Komplettsanierung   \n",
       "3203  Herrschaftliche Villenetage mit sonnigem Südba...   \n",
       "3225  Lutherplatz! sehr schöne 3 Zimmer - Wannenbad ...   \n",
       "3281  Bes. So. 19.08. um 15:00 Uhr, Wunderschöne 2-Z...   \n",
       "...                                                 ...   \n",
       "3097  Kernsanierte, möblierte 2-Zimmer Altbauwohnung...   \n",
       "3103  Wong Deso Apartment in the heart of Berlin - W...   \n",
       "2761  Wohnen nahe Lafayette *  Bestlage * zentral & ...   \n",
       "2731  Über den Dächern in Friedrichshain - Neubau - ...   \n",
       "2428  Wohnen mit tollem Ausblick * Potsdamer Platz *...   \n",
       "1721  SONNIGE 3 ZIMMER in FHAIN - mit Südbalkon und ...   \n",
       "3136  Erstbezug! Möblierte Neubauwohnung in Mitte Sc...   \n",
       "1901  Sightseeing vom Balkon - 3 Zimmer mit Einbaukü...   \n",
       "824   Schöne, geräumige zwei Zimmer Wohnung in Berli...   \n",
       "1306  Erstbezug in einem KfW-55 Neubau! Hochwertig m...   \n",
       "2844  Hochwertig eingerichtete sanierte Altbauwohnun...   \n",
       "2565  Concierge-Erstbezug in exklusiver Lage - HIGH-...   \n",
       "774   Wohnen auf Zeit 2 ZKB Loft in begehrter Umgebu...   \n",
       "68    die perfekte single-dg-whg. in mitte am gipsdr...   \n",
       "2990  5706 - Chausseestraße - Geschmackvolles und so...   \n",
       "631   Modernisierte drei Zimmer Wohnung am Arkonapla...   \n",
       "1962         Hochwertig möblierte Wohnung / 6-24 Monate   \n",
       "1727  GRANDIOSER AUSBLICK - 3 Zimmer mit vollausgest...   \n",
       "64    Charlottenburg:Lietzensee:helles Dachgeschoss,...   \n",
       "1792  helle, möblierte Mietwohnung direkt im Friedri...   \n",
       "3135  Erstbezug !Möblierte Neubauwohnung in Mitte nä...   \n",
       "27    sophienstraße 1 zi-apt. mit südterrasse und ko...   \n",
       "67    sophienstraße 1 zi-apt. mit südterrasse und ko...   \n",
       "146   Schöne, geräumige zwei Zimmer Wohnung in Berli...   \n",
       "3095     Spektakuläres Wohnen über der Eastside Gallery   \n",
       "3224  Möbliertes Junior Studio Apartment in Berlin M...   \n",
       "1293  Drei Terrassen! Möblierte Neubau-Wohnung mit A...   \n",
       "3222  Möbliertes Mini 1 Bedroom Apartment in Berlin ...   \n",
       "3221  Möbliertes Junior 1 Bedroom Apartment in Berli...   \n",
       "3223  Möbliertes Senior Grand Apartment in Berlin Mi...   \n",
       "\n",
       "                                                    url  zip_code  \\\n",
       "936   https://www.immobilienscout24.de/expose/106621033     12459   \n",
       "3245   https://www.immobilienscout24.de/expose/74225906     12629   \n",
       "1334  https://www.immobilienscout24.de/expose/106510836     14089   \n",
       "916   https://www.immobilienscout24.de/expose/104559726     14059   \n",
       "902    https://www.immobilienscout24.de/expose/98142202     12527   \n",
       "335   https://www.immobilienscout24.de/expose/106434812     14199   \n",
       "3234   https://www.immobilienscout24.de/expose/77198368     10318   \n",
       "3300   https://www.immobilienscout24.de/expose/42788681     13597   \n",
       "997   https://www.immobilienscout24.de/expose/106614079     14199   \n",
       "3257   https://www.immobilienscout24.de/expose/70405282     14055   \n",
       "2605  https://www.immobilienscout24.de/expose/105189880     13585   \n",
       "1123  https://www.immobilienscout24.de/expose/106588396     12357   \n",
       "2969  https://www.immobilienscout24.de/expose/102237882     12439   \n",
       "2390  https://www.immobilienscout24.de/expose/105725420     12163   \n",
       "871   https://www.immobilienscout24.de/expose/106362748     12587   \n",
       "3120   https://www.immobilienscout24.de/expose/93355803     12524   \n",
       "22    https://www.immobilienscout24.de/expose/105298708     12103   \n",
       "1309  https://www.immobilienscout24.de/expose/106517654     13125   \n",
       "911   https://www.immobilienscout24.de/expose/106483488     12347   \n",
       "3266   https://www.immobilienscout24.de/expose/66036454     13507   \n",
       "634   https://www.immobilienscout24.de/expose/106338432     12683   \n",
       "1073  https://www.immobilienscout24.de/expose/106594478     13347   \n",
       "1561  https://www.immobilienscout24.de/expose/106383920     12489   \n",
       "3047   https://www.immobilienscout24.de/expose/98459916     12526   \n",
       "956   https://www.immobilienscout24.de/expose/106618194     13593   \n",
       "1362  https://www.immobilienscout24.de/expose/106508144     12459   \n",
       "695   https://www.immobilienscout24.de/expose/100213638     13407   \n",
       "3203   https://www.immobilienscout24.de/expose/84347003     12309   \n",
       "3225   https://www.immobilienscout24.de/expose/79157087     13585   \n",
       "3281   https://www.immobilienscout24.de/expose/61471168     12351   \n",
       "...                                                 ...       ...   \n",
       "3097   https://www.immobilienscout24.de/expose/94876407     10625   \n",
       "3103   https://www.immobilienscout24.de/expose/94643506     10115   \n",
       "2761  https://www.immobilienscout24.de/expose/104641955     10117   \n",
       "2731  https://www.immobilienscout24.de/expose/104743642     10245   \n",
       "2428  https://www.immobilienscout24.de/expose/105627584     10963   \n",
       "1721  https://www.immobilienscout24.de/expose/106320942     10243   \n",
       "3136   https://www.immobilienscout24.de/expose/92249224     10117   \n",
       "1901  https://www.immobilienscout24.de/expose/106217845     10243   \n",
       "824   https://www.immobilienscout24.de/expose/106245148     10785   \n",
       "1306  https://www.immobilienscout24.de/expose/106518343     12209   \n",
       "2844  https://www.immobilienscout24.de/expose/104028928     10585   \n",
       "2565  https://www.immobilienscout24.de/expose/105322837     10963   \n",
       "774   https://www.immobilienscout24.de/expose/106382335     13088   \n",
       "68    https://www.immobilienscout24.de/expose/106297883     10119   \n",
       "2990  https://www.immobilienscout24.de/expose/101605702     10115   \n",
       "631   https://www.immobilienscout24.de/expose/106343116     10435   \n",
       "1962  https://www.immobilienscout24.de/expose/106188446     10963   \n",
       "1727  https://www.immobilienscout24.de/expose/106320084     10243   \n",
       "64    https://www.immobilienscout24.de/expose/106535547     14057   \n",
       "1792  https://www.immobilienscout24.de/expose/106290819     10245   \n",
       "3135   https://www.immobilienscout24.de/expose/92249264     10117   \n",
       "27    https://www.immobilienscout24.de/expose/104969872     10178   \n",
       "67    https://www.immobilienscout24.de/expose/105923967     10178   \n",
       "146   https://www.immobilienscout24.de/expose/106095319     10245   \n",
       "3095   https://www.immobilienscout24.de/expose/95250533     10245   \n",
       "3224   https://www.immobilienscout24.de/expose/79469157     10178   \n",
       "1293  https://www.immobilienscout24.de/expose/106519517     12209   \n",
       "3222   https://www.immobilienscout24.de/expose/79469592     10178   \n",
       "3221   https://www.immobilienscout24.de/expose/79469862     10178   \n",
       "3223   https://www.immobilienscout24.de/expose/79469490     10178   \n",
       "\n",
       "      rent_predicted   rent_error rent_predicted2  rent_error2  \n",
       "936      1229.913263  -401.913263     1419.280170  -591.280170  \n",
       "3245     1899.409731  -717.249731     1769.416972  -587.256972  \n",
       "1334     1442.704373  -424.064373     1529.608336  -510.968336  \n",
       "916      1579.742315  -329.742315     1711.121614  -461.121614  \n",
       "902      1269.057915  -316.057915     1406.127224  -453.127224  \n",
       "335      1423.528295  -417.408295     1455.525524  -449.405524  \n",
       "3234     1217.182377  -417.472377     1248.638370  -448.928370  \n",
       "3300      980.974124  -351.524124     1062.876268  -433.426268  \n",
       "997      1603.608675  -303.608675     1720.608705  -420.608705  \n",
       "3257     1122.248291  -310.248291     1228.330025  -416.330025  \n",
       "2605     1253.160991  -300.160991     1368.183716  -415.183716  \n",
       "1123      976.498493  -371.498493     1015.999039  -410.999039  \n",
       "2969     1684.775487  -385.775487     1702.100317  -403.100317  \n",
       "2390     1039.515338  -380.855338     1061.055928  -402.395928  \n",
       "871      1620.441962  -320.441962     1699.797717  -399.797717  \n",
       "3120     1089.579779  -272.079779     1208.437812  -390.937812  \n",
       "22       1139.361659  -395.361659     1133.836197  -389.836197  \n",
       "1309     1673.310606  -365.400606     1694.786044  -386.876044  \n",
       "911       773.993156  -357.413156      801.613492  -385.033492  \n",
       "3266     1067.611074  -237.611074     1214.276892  -384.276892  \n",
       "634      1447.918941  -377.918941     1451.244253  -381.244253  \n",
       "1073     1070.969880  -389.689880     1059.410746  -378.130746  \n",
       "1561     1007.115022  -294.615022     1081.178168  -368.678168  \n",
       "3047     1314.676887  -244.666887     1436.145355  -366.135355  \n",
       "956       861.827812  -326.827812      890.719214  -355.719214  \n",
       "1362     1046.660551  -351.660551     1047.207830  -352.207830  \n",
       "695      1678.983246  -358.983246     1669.931438  -349.931438  \n",
       "3203     2010.029710  -511.029710     1848.630580  -349.630580  \n",
       "3225     1088.574657  -398.574657     1036.140755  -346.140755  \n",
       "3281      845.871975  -324.371975      867.512634  -346.012634  \n",
       "...              ...          ...             ...          ...  \n",
       "3097      847.912882   868.087118      824.674952   891.325048  \n",
       "3103      479.433982   920.566018      508.236661   891.763339  \n",
       "2761     1002.457335   971.542665     1081.837332   892.162668  \n",
       "2731      961.427361   969.732639     1022.490084   908.669916  \n",
       "2428     1015.135460   884.864540      976.263086   923.736914  \n",
       "1721      826.314444   954.115556      852.967836   927.462164  \n",
       "3136      656.282054   933.717946      659.935269   930.064731  \n",
       "1901      835.211769   905.188231      809.145354   931.254646  \n",
       "824       611.592271   988.407729      663.161742   936.838258  \n",
       "1306      878.124816   957.635184      896.597248   939.162752  \n",
       "2844     1030.513553   949.486447     1036.969495   943.030505  \n",
       "2565      796.233778   953.766222      797.074599   952.925401  \n",
       "774       462.708177  1037.291823      543.395289   956.604711  \n",
       "68        498.107381  1001.892619      539.966823   960.033177  \n",
       "2990      711.203816   988.796184      733.629470   966.370530  \n",
       "631       929.347668  1050.652332     1002.075399   977.924601  \n",
       "1962      647.673105  1002.326895      665.702228   984.297772  \n",
       "1727      835.211769   963.848231      809.145354   989.914646  \n",
       "64        824.007730  1025.992270      846.057328  1003.942672  \n",
       "1792      601.360292  1078.639708      626.424434  1053.575566  \n",
       "3135      711.967336  1038.032664      690.052123  1059.947877  \n",
       "27        446.815840  1053.184160      434.713289  1065.286711  \n",
       "67        446.815840  1053.184160      434.713289  1065.286711  \n",
       "146       745.201289  1154.798711      773.452442  1126.547558  \n",
       "3095      656.282054  1133.717946      659.935269  1130.064731  \n",
       "3224      232.407392  1257.592608      342.208134  1147.791866  \n",
       "1293      775.421122  1204.218878      806.222824  1173.417176  \n",
       "3222      286.947393  1403.052607      358.741515  1331.258485  \n",
       "3221      364.601380  1425.398620      404.547534  1385.452466  \n",
       "3223      326.751485  1663.248515      424.124734  1565.875266  \n",
       "\n",
       "[2993 rows x 25 columns]"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top.sort_values(\"rent_error2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/andi/.local/share/virtualenvs/ImmoSpider-M0SYrQN4/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "df3_test[\"rent_error_relative\"] = (df3_test[\"rent\"] - df3_test[\"rent_predicted2\"])/df3_test[\"rent\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "top = df3_test.sort_values(\"rent_error_relative\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\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>address</th>\n",
       "      <th>area</th>\n",
       "      <th>balcony</th>\n",
       "      <th>cellar</th>\n",
       "      <th>city</th>\n",
       "      <th>contact_name</th>\n",
       "      <th>district</th>\n",
       "      <th>extra_costs</th>\n",
       "      <th>garden</th>\n",
       "      <th>immo_id</th>\n",
       "      <th>...</th>\n",
       "      <th>rooms</th>\n",
       "      <th>sqm</th>\n",
       "      <th>title</th>\n",
       "      <th>url</th>\n",
       "      <th>zip_code</th>\n",
       "      <th>rent_predicted</th>\n",
       "      <th>rent_error</th>\n",
       "      <th>rent_predicted2</th>\n",
       "      <th>rent_error2</th>\n",
       "      <th>rent_error_relative</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3169</th>\n",
       "      <td>Von-der-Trenck-Straße 5 A</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Wohnbau Service Bonn GmbH Service Team</td>\n",
       "      <td>Nikolassee (Zehlendorf)</td>\n",
       "      <td>195.98</td>\n",
       "      <td>1</td>\n",
       "      <td>89168579</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>67.04</td>\n",
       "      <td>WBS erforderlich!!! ruhige Wohnung mit Garten</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/89168579</td>\n",
       "      <td>14129</td>\n",
       "      <td>774.322687</td>\n",
       "      <td>-239.302687</td>\n",
       "      <td>802.642642</td>\n",
       "      <td>-267.622642</td>\n",
       "      <td>-0.500211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3090</th>\n",
       "      <td>Alsterweg 53</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Dave  Felgenhauer</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>164.00</td>\n",
       "      <td>1</td>\n",
       "      <td>95781013</td>\n",
       "      <td>...</td>\n",
       "      <td>1.5</td>\n",
       "      <td>52.68</td>\n",
       "      <td>Bereits modernisierte Wohnung, mit großem Balk...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/95781013</td>\n",
       "      <td>14167</td>\n",
       "      <td>574.065009</td>\n",
       "      <td>-165.885009</td>\n",
       "      <td>591.347406</td>\n",
       "      <td>-183.167406</td>\n",
       "      <td>-0.448742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3151</th>\n",
       "      <td>Von-der-Trenck-Straße 3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Wohnbau Service Bonn GmbH Service Team</td>\n",
       "      <td>Nikolassee (Zehlendorf)</td>\n",
       "      <td>182.17</td>\n",
       "      <td>0</td>\n",
       "      <td>90729049</td>\n",
       "      <td>...</td>\n",
       "      <td>1.5</td>\n",
       "      <td>56.62</td>\n",
       "      <td>Wohnen in der Natur! WBS erforderlich! Einbauk...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/90729049</td>\n",
       "      <td>14129</td>\n",
       "      <td>629.757535</td>\n",
       "      <td>-177.927535</td>\n",
       "      <td>634.260168</td>\n",
       "      <td>-182.430168</td>\n",
       "      <td>-0.403758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1933</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Philipp Vormeier</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>240.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106200307</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>105.00</td>\n",
       "      <td>Ruhige Wohnung in Berlin, Zehlendorf</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106200307</td>\n",
       "      <td>14167</td>\n",
       "      <td>1065.147978</td>\n",
       "      <td>-115.147978</td>\n",
       "      <td>1260.052699</td>\n",
       "      <td>-310.052699</td>\n",
       "      <td>-0.326371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>825</th>\n",
       "      <td>Riemeisterstraße 4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Nils Bock</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>89388312</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>25.00</td>\n",
       "      <td>Studenten wohnen wie Gott in Frankreich</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/89388312</td>\n",
       "      <td>14169</td>\n",
       "      <td>256.102859</td>\n",
       "      <td>93.897141</td>\n",
       "      <td>433.109380</td>\n",
       "      <td>-83.109380</td>\n",
       "      <td>-0.237455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1790</th>\n",
       "      <td>Am Sandwerder 24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Jörg-M. Meier</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>215.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106291069</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>61.01</td>\n",
       "      <td>Helle 2-Zimmerwohnung im Grünen, nahe Wannsee.</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106291069</td>\n",
       "      <td>14109</td>\n",
       "      <td>614.251279</td>\n",
       "      <td>-84.251279</td>\n",
       "      <td>629.856273</td>\n",
       "      <td>-99.856273</td>\n",
       "      <td>-0.188408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1071</th>\n",
       "      <td>Marshallstr. 9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>GmbH PRINTS</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>298.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106595282</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>110.00</td>\n",
       "      <td>+NAHE GRUNEWALD+SONNENBALKON+PARKETT+WOHNKÜCHE</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106595282</td>\n",
       "      <td>14169</td>\n",
       "      <td>1131.169515</td>\n",
       "      <td>-82.939515</td>\n",
       "      <td>1215.975747</td>\n",
       "      <td>-167.745747</td>\n",
       "      <td>-0.160028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2492</th>\n",
       "      <td>Hugo Vogel Straße 6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Achim Emde</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>257.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105518230</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>124.80</td>\n",
       "      <td>Ansprechende 4-Zimmer-Wohnung zur Miete in Wan...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105518230</td>\n",
       "      <td>14109</td>\n",
       "      <td>1248.014875</td>\n",
       "      <td>21.985125</td>\n",
       "      <td>1424.893534</td>\n",
       "      <td>-154.893534</td>\n",
       "      <td>-0.121963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3261</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>G. Schmidt</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>315.00</td>\n",
       "      <td>1</td>\n",
       "      <td>68925463</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>83.00</td>\n",
       "      <td>3-Zi.-Wohnung mit Terrasse u. Garten in sehr g...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/68925463</td>\n",
       "      <td>14169</td>\n",
       "      <td>850.784925</td>\n",
       "      <td>59.215075</td>\n",
       "      <td>1005.441058</td>\n",
       "      <td>-95.441058</td>\n",
       "      <td>-0.104880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2604</th>\n",
       "      <td>Düppelstr. 19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>115.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105189965</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>55.64</td>\n",
       "      <td>Tolle Wohnung in ruhiger Zehlendorf-Lage</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105189965</td>\n",
       "      <td>14163</td>\n",
       "      <td>602.302764</td>\n",
       "      <td>-32.302764</td>\n",
       "      <td>629.408644</td>\n",
       "      <td>-59.408644</td>\n",
       "      <td>-0.104226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2181</th>\n",
       "      <td>Starkenburger Str. 3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Yvonne Fuchs</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>348.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105996967</td>\n",
       "      <td>...</td>\n",
       "      <td>3.5</td>\n",
       "      <td>100.53</td>\n",
       "      <td>++Wir renovieren für Sie: Ansprechende 3,5-Zim...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105996967</td>\n",
       "      <td>14163</td>\n",
       "      <td>1010.457592</td>\n",
       "      <td>-5.157592</td>\n",
       "      <td>1096.988452</td>\n",
       "      <td>-91.688452</td>\n",
       "      <td>-0.091205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1385</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Ralph Wodrich</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>756.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106495039</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>148.00</td>\n",
       "      <td>WANNSEE : EG-Maisonetten-Wohnung direkt am Kle...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106495039</td>\n",
       "      <td>14109</td>\n",
       "      <td>1642.410666</td>\n",
       "      <td>-14.410666</td>\n",
       "      <td>1734.694538</td>\n",
       "      <td>-106.694538</td>\n",
       "      <td>-0.065537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3166</th>\n",
       "      <td>Clayallee 311</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Anne Gärtner</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>280.00</td>\n",
       "      <td>0</td>\n",
       "      <td>89349917</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>108.00</td>\n",
       "      <td>Zehlendorf, Stadtvilla, DG Maisonette</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/89349917</td>\n",
       "      <td>14169</td>\n",
       "      <td>1063.477757</td>\n",
       "      <td>146.122243</td>\n",
       "      <td>1265.753563</td>\n",
       "      <td>-56.153563</td>\n",
       "      <td>-0.046423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>713</th>\n",
       "      <td>Potsdamer Chaussee 26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Mirko Neumann</td>\n",
       "      <td>Nikolassee (Zehlendorf)</td>\n",
       "      <td>340.00</td>\n",
       "      <td>1</td>\n",
       "      <td>57300477</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>140.00</td>\n",
       "      <td>Schöne, geräumige 4Zimmerwohnung im Dachgescho...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/57300477</td>\n",
       "      <td>14129</td>\n",
       "      <td>1396.475338</td>\n",
       "      <td>3.524662</td>\n",
       "      <td>1459.929540</td>\n",
       "      <td>-59.929540</td>\n",
       "      <td>-0.042807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2037</th>\n",
       "      <td>Hammerstraße, 42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>220.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106129364</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>79.82</td>\n",
       "      <td>Helle 2-Zimmer-Luxus-Wohnung in ruhiger Lage</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106129364</td>\n",
       "      <td>14167</td>\n",
       "      <td>837.059869</td>\n",
       "      <td>88.370131</td>\n",
       "      <td>955.697621</td>\n",
       "      <td>-30.267621</td>\n",
       "      <td>-0.032707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1064</th>\n",
       "      <td>Pritchardstraße 13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Axel Pfeiffer</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>241.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106596584</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>89.49</td>\n",
       "      <td>3 Zimmer mit Balkon Nähe Grunewald ab September</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106596584</td>\n",
       "      <td>14169</td>\n",
       "      <td>905.880449</td>\n",
       "      <td>-37.830449</td>\n",
       "      <td>885.648723</td>\n",
       "      <td>-17.598723</td>\n",
       "      <td>-0.020274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>623</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Ralph Wodrich</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>550.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106245902</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>98.79</td>\n",
       "      <td>WANNSEE in Bestlage. : Attr. BALKON-Wohnung di...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106245902</td>\n",
       "      <td>14109</td>\n",
       "      <td>1123.075873</td>\n",
       "      <td>56.924127</td>\n",
       "      <td>1197.245279</td>\n",
       "      <td>-17.245279</td>\n",
       "      <td>-0.014615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3147</th>\n",
       "      <td>Mörchinger Str. 25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>120.00</td>\n",
       "      <td>0</td>\n",
       "      <td>91171284</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.00</td>\n",
       "      <td>Einzimmerwohnung im Grünen von Zehlendorf - ho...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/91171284</td>\n",
       "      <td>14169</td>\n",
       "      <td>402.878430</td>\n",
       "      <td>47.121570</td>\n",
       "      <td>454.560786</td>\n",
       "      <td>-4.560786</td>\n",
       "      <td>-0.010135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1451</th>\n",
       "      <td>Breitensteinweg 10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Julia Ziglowski</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>120.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106460055</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>49.67</td>\n",
       "      <td>Sonnenbalkon + Wohnküche, das passt!</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106460055</td>\n",
       "      <td>14165</td>\n",
       "      <td>489.688724</td>\n",
       "      <td>31.851276</td>\n",
       "      <td>518.242532</td>\n",
       "      <td>3.297468</td>\n",
       "      <td>0.006323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3083</th>\n",
       "      <td>Albertinenstr. 12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>BITTE NUR PER EMAIL WGW Hausverwaltung GmbH</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>350.00</td>\n",
       "      <td>1</td>\n",
       "      <td>96253253</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>85.00</td>\n",
       "      <td>SCHÖNE, HELLE 3-ZIMMERWOHNUNG MIT BALKON IN ZE...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/96253253</td>\n",
       "      <td>14169</td>\n",
       "      <td>950.396470</td>\n",
       "      <td>-0.396470</td>\n",
       "      <td>936.127064</td>\n",
       "      <td>13.872936</td>\n",
       "      <td>0.014603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2773</th>\n",
       "      <td>Podbielskiallee 40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Claudia von Zitzewitz</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>450.00</td>\n",
       "      <td>1</td>\n",
       "      <td>104558120</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>118.30</td>\n",
       "      <td>3 - Zimmer Wohnung mit Südterrasse in bester L...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/104558120</td>\n",
       "      <td>14195</td>\n",
       "      <td>1316.175402</td>\n",
       "      <td>159.194598</td>\n",
       "      <td>1433.912052</td>\n",
       "      <td>41.457948</td>\n",
       "      <td>0.028100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1904</th>\n",
       "      <td>Lange Stüclen 7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>600.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106216844</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>149.44</td>\n",
       "      <td>HOMESK - 5-Zimmer-Maisonette mit Terrasse in i...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106216844</td>\n",
       "      <td>14109</td>\n",
       "      <td>1615.817765</td>\n",
       "      <td>159.182235</td>\n",
       "      <td>1722.101715</td>\n",
       "      <td>52.898285</td>\n",
       "      <td>0.029802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1752</th>\n",
       "      <td>Sangebuchtweg 11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>320.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106315694</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>107.00</td>\n",
       "      <td>Erstbezug nach Modernisierung! 3-Zimmer-Wohnun...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106315694</td>\n",
       "      <td>14109</td>\n",
       "      <td>1098.216458</td>\n",
       "      <td>0.783542</td>\n",
       "      <td>1061.379450</td>\n",
       "      <td>37.620550</td>\n",
       "      <td>0.034232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2494</th>\n",
       "      <td>Königsstr. 67a</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Dr. Christian Schölzel</td>\n",
       "      <td>Wannsee (Zehlendorf)</td>\n",
       "      <td>180.00</td>\n",
       "      <td>1</td>\n",
       "      <td>105511918</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>20.00</td>\n",
       "      <td>1 Zimmer-Wohnung, ca. 20 qm mit Badesteg zum K...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105511918</td>\n",
       "      <td>14109</td>\n",
       "      <td>141.968613</td>\n",
       "      <td>208.031387</td>\n",
       "      <td>335.170410</td>\n",
       "      <td>14.829590</td>\n",
       "      <td>0.042370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>Spilstraße 10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>212.42</td>\n",
       "      <td>1</td>\n",
       "      <td>106296522</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>75.08</td>\n",
       "      <td>Helle und sanierte 2 Zimmer-Altbauwohnung in S...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106296522</td>\n",
       "      <td>14195</td>\n",
       "      <td>856.549366</td>\n",
       "      <td>44.410634</td>\n",
       "      <td>858.729302</td>\n",
       "      <td>42.230698</td>\n",
       "      <td>0.046873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3055</th>\n",
       "      <td>Ramsteinweg 23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Dennis Hirschberg</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>147.03</td>\n",
       "      <td>1</td>\n",
       "      <td>98023697</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>52.70</td>\n",
       "      <td>+++ ACHTUNG +++ NEUBAU RAMSTEINWEG 23 SUCHT NA...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/98023697</td>\n",
       "      <td>14165</td>\n",
       "      <td>557.594590</td>\n",
       "      <td>48.455410</td>\n",
       "      <td>574.921206</td>\n",
       "      <td>31.128794</td>\n",
       "      <td>0.051363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1412</th>\n",
       "      <td>Dahlemer Weg 223</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Möller Nadine</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>245.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106484356</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>70.96</td>\n",
       "      <td>3-Zi-Whg. am Heinrich-Laehr-Park - Besichtigun...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106484356</td>\n",
       "      <td>14167</td>\n",
       "      <td>702.340400</td>\n",
       "      <td>77.659600</td>\n",
       "      <td>739.295399</td>\n",
       "      <td>40.704601</td>\n",
       "      <td>0.052185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2200</th>\n",
       "      <td>Beerenstr. 11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Pamela Wunsch</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>131.47</td>\n",
       "      <td>0</td>\n",
       "      <td>105949718</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.38</td>\n",
       "      <td>Ruhige Seniorenwohnung im schönen Zehlendorf</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105949718</td>\n",
       "      <td>14163</td>\n",
       "      <td>353.927513</td>\n",
       "      <td>90.892487</td>\n",
       "      <td>420.942562</td>\n",
       "      <td>23.877438</td>\n",
       "      <td>0.053679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>Saargemünder Straße  27 b</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sybille Löffelbein</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>179.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106570653</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>60.00</td>\n",
       "      <td>\"The Metropolitan Gardens\" - Wohnen im Park: K...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106570653</td>\n",
       "      <td>14195</td>\n",
       "      <td>696.992847</td>\n",
       "      <td>102.007153</td>\n",
       "      <td>749.583324</td>\n",
       "      <td>49.416676</td>\n",
       "      <td>0.061848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2232</th>\n",
       "      <td>Taylorstr. 9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Stephanie Schulze</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>320.94</td>\n",
       "      <td>0</td>\n",
       "      <td>105941148</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>106.50</td>\n",
       "      <td>Familienfreundlich wohnen in ruhiger Lage</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105941148</td>\n",
       "      <td>14195</td>\n",
       "      <td>1050.313913</td>\n",
       "      <td>75.496087</td>\n",
       "      <td>1056.003654</td>\n",
       "      <td>69.806346</td>\n",
       "      <td>0.062005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3196</th>\n",
       "      <td>Glockenstraße 2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Gerd Plensky</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>267.90</td>\n",
       "      <td>1</td>\n",
       "      <td>85787616</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>105.64</td>\n",
       "      <td>3 Zimmer im EG und Souterrain in begehrter Wes...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/85787616</td>\n",
       "      <td>14163</td>\n",
       "      <td>1123.988531</td>\n",
       "      <td>196.051469</td>\n",
       "      <td>1217.931447</td>\n",
       "      <td>102.108553</td>\n",
       "      <td>0.077353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980</th>\n",
       "      <td>Breisgauer Str. 4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nikolassee (Zehlendorf)</td>\n",
       "      <td>117.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106174394</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>42.05</td>\n",
       "      <td>1-Zi-Apartment nahe Schlachtensee</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106174394</td>\n",
       "      <td>14129</td>\n",
       "      <td>474.230600</td>\n",
       "      <td>20.769400</td>\n",
       "      <td>454.515762</td>\n",
       "      <td>40.484238</td>\n",
       "      <td>0.081786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1526</th>\n",
       "      <td>Hampsteadstraße 33</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Thomas Nölle</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>390.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106418297</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>112.00</td>\n",
       "      <td>Neuwertige 4-Zimmer-Erdgeschosswohnung mit Sou...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106418297</td>\n",
       "      <td>14167</td>\n",
       "      <td>1148.125958</td>\n",
       "      <td>307.874042</td>\n",
       "      <td>1331.687891</td>\n",
       "      <td>124.312109</td>\n",
       "      <td>0.085379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3186</th>\n",
       "      <td>Königin-Luise-Str. 5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>95.00</td>\n",
       "      <td>0</td>\n",
       "      <td>87475137</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>19.37</td>\n",
       "      <td>Möbliertes, modernes 1-Zi-Appartement ab 01.10...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/87475137</td>\n",
       "      <td>14195</td>\n",
       "      <td>231.193004</td>\n",
       "      <td>163.806996</td>\n",
       "      <td>353.431037</td>\n",
       "      <td>41.568963</td>\n",
       "      <td>0.105238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2274</th>\n",
       "      <td>Podbielskiallee 68</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Markus Krause</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>204.00</td>\n",
       "      <td>1</td>\n",
       "      <td>105901612</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>65.00</td>\n",
       "      <td>schöne teilmöblierte 2 Zi. in Dahlemlage</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105901612</td>\n",
       "      <td>14195</td>\n",
       "      <td>745.827094</td>\n",
       "      <td>49.172906</td>\n",
       "      <td>706.101033</td>\n",
       "      <td>88.898967</td>\n",
       "      <td>0.111823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>739</th>\n",
       "      <td>Flanaganstrasse 20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Stefan Hainzl</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>232.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106596591</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>96.53</td>\n",
       "      <td>Schöne vier Zimmer Wohnung direkt am Grunewald...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106596591</td>\n",
       "      <td>14195</td>\n",
       "      <td>937.487235</td>\n",
       "      <td>269.142765</td>\n",
       "      <td>1070.342618</td>\n",
       "      <td>136.287382</td>\n",
       "      <td>0.112949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2336</th>\n",
       "      <td>Hocksteinweg 17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Alexandra Nepomnyashcha</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>156.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105796491</td>\n",
       "      <td>...</td>\n",
       "      <td>2.5</td>\n",
       "      <td>53.55</td>\n",
       "      <td>Kleines gemütliches Heim in einer angenehmen S...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105796491</td>\n",
       "      <td>14165</td>\n",
       "      <td>515.617905</td>\n",
       "      <td>74.382095</td>\n",
       "      <td>520.540860</td>\n",
       "      <td>69.459140</td>\n",
       "      <td>0.117727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2510</th>\n",
       "      <td>Taylorstr. 15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Stephanie Schulze</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>291.39</td>\n",
       "      <td>0</td>\n",
       "      <td>105476421</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>88.10</td>\n",
       "      <td>Erstbezug nach Sanierung in Dahlem!</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105476421</td>\n",
       "      <td>14195</td>\n",
       "      <td>884.524685</td>\n",
       "      <td>77.395315</td>\n",
       "      <td>835.823806</td>\n",
       "      <td>126.096194</td>\n",
       "      <td>0.131088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1153</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>200.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106574939</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>51.00</td>\n",
       "      <td>Schöne zwei Zimmer Wohnung in Berlin, Zehlendorf</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106574939</td>\n",
       "      <td>14167</td>\n",
       "      <td>426.655072</td>\n",
       "      <td>173.344928</td>\n",
       "      <td>518.510297</td>\n",
       "      <td>81.489703</td>\n",
       "      <td>0.135816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1262</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Franz Du Chesne</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>345.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106533126</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>116.60</td>\n",
       "      <td>Sanierte 4Zi Wohnung am Dreipfuhlpark mit Balk...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106533126</td>\n",
       "      <td>14195</td>\n",
       "      <td>1182.461056</td>\n",
       "      <td>316.538944</td>\n",
       "      <td>1280.065191</td>\n",
       "      <td>218.934809</td>\n",
       "      <td>0.146054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3276</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>350.00</td>\n",
       "      <td>0</td>\n",
       "      <td>62407818</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>147.00</td>\n",
       "      <td>Exklusives Wohnen im Baudenkmal</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/62407818</td>\n",
       "      <td>14163</td>\n",
       "      <td>1396.332157</td>\n",
       "      <td>403.667843</td>\n",
       "      <td>1531.081185</td>\n",
       "      <td>268.918815</td>\n",
       "      <td>0.149399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1560</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Felicitas Rennert</td>\n",
       "      <td>Nikolassee (Zehlendorf)</td>\n",
       "      <td>400.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106384388</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>114.00</td>\n",
       "      <td>Chices Wohnen mit netten Nachbarn, 151 m² auf ...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106384388</td>\n",
       "      <td>14129</td>\n",
       "      <td>1247.737503</td>\n",
       "      <td>348.262497</td>\n",
       "      <td>1356.174413</td>\n",
       "      <td>239.825587</td>\n",
       "      <td>0.150267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>611</th>\n",
       "      <td>Schorlemer Allee 3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>150.67</td>\n",
       "      <td>0</td>\n",
       "      <td>106296679</td>\n",
       "      <td>...</td>\n",
       "      <td>2.5</td>\n",
       "      <td>71.70</td>\n",
       "      <td>Schöne, helle und sanierte 2,5 Zimmer-Altbauwo...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106296679</td>\n",
       "      <td>14195</td>\n",
       "      <td>721.071413</td>\n",
       "      <td>139.328587</td>\n",
       "      <td>725.105191</td>\n",
       "      <td>135.294809</td>\n",
       "      <td>0.157246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2036</th>\n",
       "      <td>Habelschwerdter Allee 1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Dennis Altinok</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>50.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106129651</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.65</td>\n",
       "      <td>Helle 1-Zimmer Wohnung nahe der FU in super La...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106129651</td>\n",
       "      <td>14195</td>\n",
       "      <td>378.861993</td>\n",
       "      <td>120.138007</td>\n",
       "      <td>416.737225</td>\n",
       "      <td>82.262775</td>\n",
       "      <td>0.164855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>854</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Leon Karsten</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>177.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106385218</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>56.00</td>\n",
       "      <td>Neubau-Wohnung in Dahlem (inkl. EBK &amp; Balkon)</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106385218</td>\n",
       "      <td>14195</td>\n",
       "      <td>575.412597</td>\n",
       "      <td>244.587403</td>\n",
       "      <td>673.233478</td>\n",
       "      <td>146.766522</td>\n",
       "      <td>0.178984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1743</th>\n",
       "      <td>Mörchinger Str. 59</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Rayk Welke</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>88.25</td>\n",
       "      <td>0</td>\n",
       "      <td>106317805</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.48</td>\n",
       "      <td>***Aus alt mach neu!!***</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106317805</td>\n",
       "      <td>14169</td>\n",
       "      <td>305.001025</td>\n",
       "      <td>143.868975</td>\n",
       "      <td>366.270552</td>\n",
       "      <td>82.599448</td>\n",
       "      <td>0.184016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>719</th>\n",
       "      <td>Königin-Luise-Straße 5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Karl-Heinz Jettinger</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>109.00</td>\n",
       "      <td>0</td>\n",
       "      <td>85047209</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>30.50</td>\n",
       "      <td>Großes Möbliertes Apartment für Studenten und ...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/85047209</td>\n",
       "      <td>14195</td>\n",
       "      <td>353.448845</td>\n",
       "      <td>166.551155</td>\n",
       "      <td>419.178517</td>\n",
       "      <td>100.821483</td>\n",
       "      <td>0.193887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>804</th>\n",
       "      <td>Lutterbacher Str. 22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Bernhard Reiter</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>320.00</td>\n",
       "      <td>1</td>\n",
       "      <td>85123148</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>96.50</td>\n",
       "      <td>Gehobenes Wohnen im Rhytmus der Jahreszeiten</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/85123148</td>\n",
       "      <td>14167</td>\n",
       "      <td>999.073682</td>\n",
       "      <td>395.926318</td>\n",
       "      <td>1121.535427</td>\n",
       "      <td>273.464573</td>\n",
       "      <td>0.196032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1656</th>\n",
       "      <td>Charlottenburger Straße 6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Lars Thieme</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>200.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106350242</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>Sehr helle und ruhige 3 Zimmer Wohnung (Neubau)</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106350242</td>\n",
       "      <td>14169</td>\n",
       "      <td>1037.518915</td>\n",
       "      <td>462.481085</td>\n",
       "      <td>1202.181512</td>\n",
       "      <td>297.818488</td>\n",
       "      <td>0.198546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>Berliner Straße 12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Michael Röder</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>141.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106368136</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>85.00</td>\n",
       "      <td>TRAUMHAFT helle Wohnung, Stuck, Einbauküche, W...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106368136</td>\n",
       "      <td>14169</td>\n",
       "      <td>825.955324</td>\n",
       "      <td>302.044676</td>\n",
       "      <td>901.894797</td>\n",
       "      <td>226.105203</td>\n",
       "      <td>0.200448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1613</th>\n",
       "      <td>Eschershauser Weg 29f</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sabine  Rösel</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>169.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106365380</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>53.00</td>\n",
       "      <td>Spektakulärer Waldblick an der Krummen Lanke -...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106365380</td>\n",
       "      <td>14163</td>\n",
       "      <td>526.266617</td>\n",
       "      <td>123.733383</td>\n",
       "      <td>517.658254</td>\n",
       "      <td>132.341746</td>\n",
       "      <td>0.203603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2658</th>\n",
       "      <td>Potsdamer Straße 38</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sascha Lobeck</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>97.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105030507</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>58.00</td>\n",
       "      <td>Dachgeschoss-Wohnung in Berlin-Zehlendorf fris...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105030507</td>\n",
       "      <td>14163</td>\n",
       "      <td>607.020651</td>\n",
       "      <td>192.979349</td>\n",
       "      <td>628.095894</td>\n",
       "      <td>171.904106</td>\n",
       "      <td>0.214880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1742</th>\n",
       "      <td>Mörchinger Str. 63</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Rayk Welke</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>111.10</td>\n",
       "      <td>0</td>\n",
       "      <td>106317810</td>\n",
       "      <td>...</td>\n",
       "      <td>1.5</td>\n",
       "      <td>39.93</td>\n",
       "      <td>Wir modernisieren für Sie!</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106317810</td>\n",
       "      <td>14169</td>\n",
       "      <td>387.216210</td>\n",
       "      <td>138.813790</td>\n",
       "      <td>407.045002</td>\n",
       "      <td>118.984998</td>\n",
       "      <td>0.226194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>Brettnacher Straße 21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Marc Zellner</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>190.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105849682</td>\n",
       "      <td>...</td>\n",
       "      <td>2.5</td>\n",
       "      <td>79.30</td>\n",
       "      <td>Umfassend modernisierte Wohnung mit Einbauküch...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105849682</td>\n",
       "      <td>14167</td>\n",
       "      <td>857.677462</td>\n",
       "      <td>252.322538</td>\n",
       "      <td>849.797722</td>\n",
       "      <td>260.202278</td>\n",
       "      <td>0.234416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1508</th>\n",
       "      <td>Am Hirschsprung 59 C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Reinhard Timm e. K.</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>400.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106434786</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>130.00</td>\n",
       "      <td>Top-Dahlem-Lage: Schönes Reihenmittelhaus mit ...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106434786</td>\n",
       "      <td>14195</td>\n",
       "      <td>1397.894018</td>\n",
       "      <td>502.105982</td>\n",
       "      <td>1402.905561</td>\n",
       "      <td>497.094439</td>\n",
       "      <td>0.261629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>Berliner Straße 12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Thierry Dubois</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>132.00</td>\n",
       "      <td>0</td>\n",
       "      <td>104927243</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>77.00</td>\n",
       "      <td>TRAUMHAFT helle Wohnung, Stuck, Einbauküche, W...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/104927243</td>\n",
       "      <td>14169</td>\n",
       "      <td>738.080505</td>\n",
       "      <td>326.919495</td>\n",
       "      <td>772.676235</td>\n",
       "      <td>292.323765</td>\n",
       "      <td>0.274482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2533</th>\n",
       "      <td>Goßlerstraße 15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>150.00</td>\n",
       "      <td>1</td>\n",
       "      <td>105408183</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>71.00</td>\n",
       "      <td>71qm in Dahlem Altbauvilla (möbliert)</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105408183</td>\n",
       "      <td>14195</td>\n",
       "      <td>712.885184</td>\n",
       "      <td>537.114816</td>\n",
       "      <td>802.250537</td>\n",
       "      <td>447.749463</td>\n",
       "      <td>0.358200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>906</th>\n",
       "      <td>Teltower Damm 203 B</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>265.00</td>\n",
       "      <td>0</td>\n",
       "      <td>66633796</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>74.53</td>\n",
       "      <td>Barrierefreie 2-Zimmer-Wohnung</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/66633796</td>\n",
       "      <td>14167</td>\n",
       "      <td>756.672208</td>\n",
       "      <td>385.127792</td>\n",
       "      <td>708.356545</td>\n",
       "      <td>433.443455</td>\n",
       "      <td>0.379614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Kleiststraße 30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Uwe Peschel</td>\n",
       "      <td>Zehlendorf (Zehlendorf)</td>\n",
       "      <td>200.00</td>\n",
       "      <td>0</td>\n",
       "      <td>69450128</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>86.00</td>\n",
       "      <td>Toplage!Attraktives Penthouse in einer Stadtvi...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/69450128</td>\n",
       "      <td>14163</td>\n",
       "      <td>920.670030</td>\n",
       "      <td>669.329970</td>\n",
       "      <td>965.793145</td>\n",
       "      <td>624.206855</td>\n",
       "      <td>0.392583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>Sundgauer Straße  .</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sandra Smarslik</td>\n",
       "      <td>Dahlem (Zehlendorf)</td>\n",
       "      <td>240.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106489995</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>69.00</td>\n",
       "      <td>Einziehen und Wohlfühlen! Moderne, vollmöblier...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106489995</td>\n",
       "      <td>14169</td>\n",
       "      <td>755.141225</td>\n",
       "      <td>414.858775</td>\n",
       "      <td>708.755624</td>\n",
       "      <td>461.244376</td>\n",
       "      <td>0.394226</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>60 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        address  area  balcony  cellar    city  \\\n",
       "3169  Von-der-Trenck-Straße 5 A   NaN        1     NaN  Berlin   \n",
       "3090               Alsterweg 53   NaN        1     NaN  Berlin   \n",
       "3151    Von-der-Trenck-Straße 3   NaN        1     NaN  Berlin   \n",
       "1933                        NaN   NaN        0     NaN  Berlin   \n",
       "825          Riemeisterstraße 4   NaN        1     NaN  Berlin   \n",
       "1790           Am Sandwerder 24   NaN        1     NaN  Berlin   \n",
       "1071             Marshallstr. 9   NaN        1     NaN  Berlin   \n",
       "2492        Hugo Vogel Straße 6   NaN        1     NaN  Berlin   \n",
       "3261                        NaN   NaN        1     NaN  Berlin   \n",
       "2604              Düppelstr. 19   NaN        0     NaN  Berlin   \n",
       "2181       Starkenburger Str. 3   NaN        0     NaN  Berlin   \n",
       "1385                        NaN   NaN        1     NaN  Berlin   \n",
       "3166              Clayallee 311   NaN        1     NaN  Berlin   \n",
       "713       Potsdamer Chaussee 26   NaN        0     NaN  Berlin   \n",
       "2037           Hammerstraße, 42   NaN        1     NaN  Berlin   \n",
       "1064         Pritchardstraße 13   NaN        1     NaN  Berlin   \n",
       "623                         NaN   NaN        1     NaN  Berlin   \n",
       "3147         Mörchinger Str. 25   NaN        1     NaN  Berlin   \n",
       "1451         Breitensteinweg 10   NaN        1     NaN  Berlin   \n",
       "3083          Albertinenstr. 12   NaN        1     NaN  Berlin   \n",
       "2773         Podbielskiallee 40   NaN        1     NaN  Berlin   \n",
       "1904            Lange Stüclen 7   NaN        1     NaN  Berlin   \n",
       "1752           Sangebuchtweg 11   NaN        1     NaN  Berlin   \n",
       "2494             Königsstr. 67a   NaN        0     NaN  Berlin   \n",
       "252               Spilstraße 10   NaN        0     NaN  Berlin   \n",
       "3055             Ramsteinweg 23   NaN        0     NaN  Berlin   \n",
       "1412           Dahlemer Weg 223   NaN        1     NaN  Berlin   \n",
       "2200              Beerenstr. 11   NaN        1     NaN  Berlin   \n",
       "375   Saargemünder Straße  27 b   NaN        1     NaN  Berlin   \n",
       "2232               Taylorstr. 9   NaN        1     NaN  Berlin   \n",
       "3196            Glockenstraße 2   NaN        1     NaN  Berlin   \n",
       "1980          Breisgauer Str. 4   NaN        0     NaN  Berlin   \n",
       "1526         Hampsteadstraße 33   NaN        1     NaN  Berlin   \n",
       "3186       Königin-Luise-Str. 5   NaN        1     NaN  Berlin   \n",
       "2274         Podbielskiallee 68   NaN        0     NaN  Berlin   \n",
       "739          Flanaganstrasse 20   NaN        1     NaN  Berlin   \n",
       "2336            Hocksteinweg 17   NaN        0     NaN  Berlin   \n",
       "2510              Taylorstr. 15   NaN        0     NaN  Berlin   \n",
       "1153                        NaN   NaN        1     NaN  Berlin   \n",
       "1262                        NaN   NaN        1     NaN  Berlin   \n",
       "3276                        NaN   NaN        1     NaN  Berlin   \n",
       "1560                        NaN   NaN        1     NaN  Berlin   \n",
       "611          Schorlemer Allee 3   NaN        1     NaN  Berlin   \n",
       "2036    Habelschwerdter Allee 1   NaN        1     NaN  Berlin   \n",
       "854                         NaN   NaN        1     NaN  Berlin   \n",
       "1743         Mörchinger Str. 59   NaN        0     NaN  Berlin   \n",
       "719      Königin-Luise-Straße 5   NaN        1     NaN  Berlin   \n",
       "804        Lutterbacher Str. 22   NaN        1     NaN  Berlin   \n",
       "1656  Charlottenburger Straße 6   NaN        1     NaN  Berlin   \n",
       "156          Berliner Straße 12   NaN        0     NaN  Berlin   \n",
       "1613      Eschershauser Weg 29f   NaN        1     NaN  Berlin   \n",
       "2658        Potsdamer Straße 38   NaN        0     NaN  Berlin   \n",
       "1742         Mörchinger Str. 63   NaN        0     NaN  Berlin   \n",
       "357       Brettnacher Straße 21   NaN        1     NaN  Berlin   \n",
       "1508       Am Hirschsprung 59 C   NaN        0     NaN  Berlin   \n",
       "139          Berliner Straße 12   NaN        0     NaN  Berlin   \n",
       "2533            Goßlerstraße 15   NaN        0     NaN  Berlin   \n",
       "906         Teltower Damm 203 B   NaN        0     NaN  Berlin   \n",
       "141             Kleiststraße 30   NaN        1     NaN  Berlin   \n",
       "569         Sundgauer Straße  .   NaN        1     NaN  Berlin   \n",
       "\n",
       "                                     contact_name                 district  \\\n",
       "3169       Wohnbau Service Bonn GmbH Service Team  Nikolassee (Zehlendorf)   \n",
       "3090                            Dave  Felgenhauer  Zehlendorf (Zehlendorf)   \n",
       "3151       Wohnbau Service Bonn GmbH Service Team  Nikolassee (Zehlendorf)   \n",
       "1933                             Philipp Vormeier  Zehlendorf (Zehlendorf)   \n",
       "825                                     Nils Bock  Zehlendorf (Zehlendorf)   \n",
       "1790                                Jörg-M. Meier     Wannsee (Zehlendorf)   \n",
       "1071                                  GmbH PRINTS      Dahlem (Zehlendorf)   \n",
       "2492                                   Achim Emde     Wannsee (Zehlendorf)   \n",
       "3261                                   G. Schmidt  Zehlendorf (Zehlendorf)   \n",
       "2604                                          NaN  Zehlendorf (Zehlendorf)   \n",
       "2181                                 Yvonne Fuchs  Zehlendorf (Zehlendorf)   \n",
       "1385                                Ralph Wodrich     Wannsee (Zehlendorf)   \n",
       "3166                                 Anne Gärtner  Zehlendorf (Zehlendorf)   \n",
       "713                                 Mirko Neumann  Nikolassee (Zehlendorf)   \n",
       "2037                                          NaN  Zehlendorf (Zehlendorf)   \n",
       "1064                                Axel Pfeiffer      Dahlem (Zehlendorf)   \n",
       "623                                 Ralph Wodrich     Wannsee (Zehlendorf)   \n",
       "3147                                          NaN  Zehlendorf (Zehlendorf)   \n",
       "1451                              Julia Ziglowski  Zehlendorf (Zehlendorf)   \n",
       "3083  BITTE NUR PER EMAIL WGW Hausverwaltung GmbH  Zehlendorf (Zehlendorf)   \n",
       "2773                        Claudia von Zitzewitz      Dahlem (Zehlendorf)   \n",
       "1904                                          NaN     Wannsee (Zehlendorf)   \n",
       "1752                                          NaN     Wannsee (Zehlendorf)   \n",
       "2494                       Dr. Christian Schölzel     Wannsee (Zehlendorf)   \n",
       "252                                           NaN      Dahlem (Zehlendorf)   \n",
       "3055                            Dennis Hirschberg  Zehlendorf (Zehlendorf)   \n",
       "1412                                Möller Nadine  Zehlendorf (Zehlendorf)   \n",
       "2200                                Pamela Wunsch  Zehlendorf (Zehlendorf)   \n",
       "375                            Sybille Löffelbein      Dahlem (Zehlendorf)   \n",
       "2232                            Stephanie Schulze      Dahlem (Zehlendorf)   \n",
       "3196                                 Gerd Plensky  Zehlendorf (Zehlendorf)   \n",
       "1980                                          NaN  Nikolassee (Zehlendorf)   \n",
       "1526                                 Thomas Nölle  Zehlendorf (Zehlendorf)   \n",
       "3186                                          NaN      Dahlem (Zehlendorf)   \n",
       "2274                                Markus Krause      Dahlem (Zehlendorf)   \n",
       "739                                 Stefan Hainzl      Dahlem (Zehlendorf)   \n",
       "2336                      Alexandra Nepomnyashcha  Zehlendorf (Zehlendorf)   \n",
       "2510                            Stephanie Schulze      Dahlem (Zehlendorf)   \n",
       "1153                                          NaN  Zehlendorf (Zehlendorf)   \n",
       "1262                              Franz Du Chesne      Dahlem (Zehlendorf)   \n",
       "3276                                          NaN  Zehlendorf (Zehlendorf)   \n",
       "1560                            Felicitas Rennert  Nikolassee (Zehlendorf)   \n",
       "611                                           NaN      Dahlem (Zehlendorf)   \n",
       "2036                               Dennis Altinok      Dahlem (Zehlendorf)   \n",
       "854                                  Leon Karsten      Dahlem (Zehlendorf)   \n",
       "1743                                   Rayk Welke  Zehlendorf (Zehlendorf)   \n",
       "719                          Karl-Heinz Jettinger      Dahlem (Zehlendorf)   \n",
       "804                               Bernhard Reiter  Zehlendorf (Zehlendorf)   \n",
       "1656                                  Lars Thieme  Zehlendorf (Zehlendorf)   \n",
       "156                                 Michael Röder  Zehlendorf (Zehlendorf)   \n",
       "1613                                Sabine  Rösel  Zehlendorf (Zehlendorf)   \n",
       "2658                                Sascha Lobeck  Zehlendorf (Zehlendorf)   \n",
       "1742                                   Rayk Welke  Zehlendorf (Zehlendorf)   \n",
       "357                                  Marc Zellner  Zehlendorf (Zehlendorf)   \n",
       "1508                          Reinhard Timm e. K.      Dahlem (Zehlendorf)   \n",
       "139                                Thierry Dubois  Zehlendorf (Zehlendorf)   \n",
       "2533                                          NaN      Dahlem (Zehlendorf)   \n",
       "906                                           NaN  Zehlendorf (Zehlendorf)   \n",
       "141                                   Uwe Peschel  Zehlendorf (Zehlendorf)   \n",
       "569                               Sandra Smarslik      Dahlem (Zehlendorf)   \n",
       "\n",
       "      extra_costs  garden    immo_id         ...          rooms     sqm  \\\n",
       "3169       195.98       1   89168579         ...            2.0   67.04   \n",
       "3090       164.00       1   95781013         ...            1.5   52.68   \n",
       "3151       182.17       0   90729049         ...            1.5   56.62   \n",
       "1933       240.00       1  106200307         ...            4.0  105.00   \n",
       "825          0.00       1   89388312         ...            1.0   25.00   \n",
       "1790       215.00       0  106291069         ...            2.0   61.01   \n",
       "1071       298.00       0  106595282         ...            3.0  110.00   \n",
       "2492       257.00       0  105518230         ...            4.0  124.80   \n",
       "3261       315.00       1   68925463         ...            3.0   83.00   \n",
       "2604       115.00       0  105189965         ...            2.0   55.64   \n",
       "2181       348.00       0  105996967         ...            3.5  100.53   \n",
       "1385       756.00       1  106495039         ...            3.0  148.00   \n",
       "3166       280.00       0   89349917         ...            4.0  108.00   \n",
       "713        340.00       1   57300477         ...            4.0  140.00   \n",
       "2037       220.00       1  106129364         ...            2.0   79.82   \n",
       "1064       241.00       0  106596584         ...            3.0   89.49   \n",
       "623        550.00       1  106245902         ...            2.0   98.79   \n",
       "3147       120.00       0   91171284         ...            1.0   35.00   \n",
       "1451       120.00       0  106460055         ...            2.0   49.67   \n",
       "3083       350.00       1   96253253         ...            3.0   85.00   \n",
       "2773       450.00       1  104558120         ...            3.0  118.30   \n",
       "1904       600.00       1  106216844         ...            5.0  149.44   \n",
       "1752       320.00       0  106315694         ...            3.0  107.00   \n",
       "2494       180.00       1  105511918         ...            1.0   20.00   \n",
       "252        212.42       1  106296522         ...            2.0   75.08   \n",
       "3055       147.03       1   98023697         ...            2.0   52.70   \n",
       "1412       245.00       0  106484356         ...            3.0   70.96   \n",
       "2200       131.47       0  105949718         ...            1.0   35.38   \n",
       "375        179.00       1  106570653         ...            2.0   60.00   \n",
       "2232       320.94       0  105941148         ...            5.0  106.50   \n",
       "3196       267.90       1   85787616         ...            3.0  105.64   \n",
       "1980       117.00       0  106174394         ...            1.0   42.05   \n",
       "1526       390.00       1  106418297         ...            4.0  112.00   \n",
       "3186        95.00       0   87475137         ...            1.0   19.37   \n",
       "2274       204.00       1  105901612         ...            2.0   65.00   \n",
       "739        232.00       0  106596591         ...            4.0   96.53   \n",
       "2336       156.00       0  105796491         ...            2.5   53.55   \n",
       "2510       291.39       0  105476421         ...            3.0   88.10   \n",
       "1153       200.00       0  106574939         ...            2.0   51.00   \n",
       "1262       345.00       0  106533126         ...            4.0  116.60   \n",
       "3276       350.00       0   62407818         ...            6.0  147.00   \n",
       "1560       400.00       1  106384388         ...            4.0  114.00   \n",
       "611        150.67       0  106296679         ...            2.5   71.70   \n",
       "2036        50.00       0  106129651         ...            1.0   37.65   \n",
       "854        177.00       1  106385218         ...            2.0   56.00   \n",
       "1743        88.25       0  106317805         ...            1.0   31.48   \n",
       "719        109.00       0   85047209         ...            1.0   30.50   \n",
       "804        320.00       1   85123148         ...            3.0   96.50   \n",
       "1656       200.00       1  106350242         ...            3.0  100.00   \n",
       "156        141.00       0  106368136         ...            3.0   85.00   \n",
       "1613       169.00       0  106365380         ...            2.0   53.00   \n",
       "2658        97.00       0  105030507         ...            3.0   58.00   \n",
       "1742       111.10       0  106317810         ...            1.5   39.93   \n",
       "357        190.00       0  105849682         ...            2.5   79.30   \n",
       "1508       400.00       0  106434786         ...            3.0  130.00   \n",
       "139        132.00       0  104927243         ...            3.0   77.00   \n",
       "2533       150.00       1  105408183         ...            3.0   71.00   \n",
       "906        265.00       0   66633796         ...            2.0   74.53   \n",
       "141        200.00       0   69450128         ...            3.0   86.00   \n",
       "569        240.00       0  106489995         ...            2.0   69.00   \n",
       "\n",
       "                                                  title  \\\n",
       "3169      WBS erforderlich!!! ruhige Wohnung mit Garten   \n",
       "3090  Bereits modernisierte Wohnung, mit großem Balk...   \n",
       "3151  Wohnen in der Natur! WBS erforderlich! Einbauk...   \n",
       "1933               Ruhige Wohnung in Berlin, Zehlendorf   \n",
       "825             Studenten wohnen wie Gott in Frankreich   \n",
       "1790   Helle 2-Zimmerwohnung im Grünen, nahe Wannsee.     \n",
       "1071     +NAHE GRUNEWALD+SONNENBALKON+PARKETT+WOHNKÜCHE   \n",
       "2492  Ansprechende 4-Zimmer-Wohnung zur Miete in Wan...   \n",
       "3261  3-Zi.-Wohnung mit Terrasse u. Garten in sehr g...   \n",
       "2604           Tolle Wohnung in ruhiger Zehlendorf-Lage   \n",
       "2181  ++Wir renovieren für Sie: Ansprechende 3,5-Zim...   \n",
       "1385  WANNSEE : EG-Maisonetten-Wohnung direkt am Kle...   \n",
       "3166              Zehlendorf, Stadtvilla, DG Maisonette   \n",
       "713   Schöne, geräumige 4Zimmerwohnung im Dachgescho...   \n",
       "2037       Helle 2-Zimmer-Luxus-Wohnung in ruhiger Lage   \n",
       "1064    3 Zimmer mit Balkon Nähe Grunewald ab September   \n",
       "623   WANNSEE in Bestlage. : Attr. BALKON-Wohnung di...   \n",
       "3147  Einzimmerwohnung im Grünen von Zehlendorf - ho...   \n",
       "1451               Sonnenbalkon + Wohnküche, das passt!   \n",
       "3083  SCHÖNE, HELLE 3-ZIMMERWOHNUNG MIT BALKON IN ZE...   \n",
       "2773  3 - Zimmer Wohnung mit Südterrasse in bester L...   \n",
       "1904  HOMESK - 5-Zimmer-Maisonette mit Terrasse in i...   \n",
       "1752  Erstbezug nach Modernisierung! 3-Zimmer-Wohnun...   \n",
       "2494  1 Zimmer-Wohnung, ca. 20 qm mit Badesteg zum K...   \n",
       "252   Helle und sanierte 2 Zimmer-Altbauwohnung in S...   \n",
       "3055  +++ ACHTUNG +++ NEUBAU RAMSTEINWEG 23 SUCHT NA...   \n",
       "1412  3-Zi-Whg. am Heinrich-Laehr-Park - Besichtigun...   \n",
       "2200       Ruhige Seniorenwohnung im schönen Zehlendorf   \n",
       "375   \"The Metropolitan Gardens\" - Wohnen im Park: K...   \n",
       "2232          Familienfreundlich wohnen in ruhiger Lage   \n",
       "3196  3 Zimmer im EG und Souterrain in begehrter Wes...   \n",
       "1980                 1-Zi-Apartment nahe Schlachtensee    \n",
       "1526  Neuwertige 4-Zimmer-Erdgeschosswohnung mit Sou...   \n",
       "3186  Möbliertes, modernes 1-Zi-Appartement ab 01.10...   \n",
       "2274           schöne teilmöblierte 2 Zi. in Dahlemlage   \n",
       "739   Schöne vier Zimmer Wohnung direkt am Grunewald...   \n",
       "2336  Kleines gemütliches Heim in einer angenehmen S...   \n",
       "2510                Erstbezug nach Sanierung in Dahlem!   \n",
       "1153   Schöne zwei Zimmer Wohnung in Berlin, Zehlendorf   \n",
       "1262  Sanierte 4Zi Wohnung am Dreipfuhlpark mit Balk...   \n",
       "3276                    Exklusives Wohnen im Baudenkmal   \n",
       "1560  Chices Wohnen mit netten Nachbarn, 151 m² auf ...   \n",
       "611   Schöne, helle und sanierte 2,5 Zimmer-Altbauwo...   \n",
       "2036  Helle 1-Zimmer Wohnung nahe der FU in super La...   \n",
       "854       Neubau-Wohnung in Dahlem (inkl. EBK & Balkon)   \n",
       "1743                           ***Aus alt mach neu!!***   \n",
       "719   Großes Möbliertes Apartment für Studenten und ...   \n",
       "804        Gehobenes Wohnen im Rhytmus der Jahreszeiten   \n",
       "1656    Sehr helle und ruhige 3 Zimmer Wohnung (Neubau)   \n",
       "156   TRAUMHAFT helle Wohnung, Stuck, Einbauküche, W...   \n",
       "1613  Spektakulärer Waldblick an der Krummen Lanke -...   \n",
       "2658  Dachgeschoss-Wohnung in Berlin-Zehlendorf fris...   \n",
       "1742                         Wir modernisieren für Sie!   \n",
       "357   Umfassend modernisierte Wohnung mit Einbauküch...   \n",
       "1508  Top-Dahlem-Lage: Schönes Reihenmittelhaus mit ...   \n",
       "139   TRAUMHAFT helle Wohnung, Stuck, Einbauküche, W...   \n",
       "2533              71qm in Dahlem Altbauvilla (möbliert)   \n",
       "906                      Barrierefreie 2-Zimmer-Wohnung   \n",
       "141   Toplage!Attraktives Penthouse in einer Stadtvi...   \n",
       "569   Einziehen und Wohlfühlen! Moderne, vollmöblier...   \n",
       "\n",
       "                                                    url  zip_code  \\\n",
       "3169   https://www.immobilienscout24.de/expose/89168579     14129   \n",
       "3090   https://www.immobilienscout24.de/expose/95781013     14167   \n",
       "3151   https://www.immobilienscout24.de/expose/90729049     14129   \n",
       "1933  https://www.immobilienscout24.de/expose/106200307     14167   \n",
       "825    https://www.immobilienscout24.de/expose/89388312     14169   \n",
       "1790  https://www.immobilienscout24.de/expose/106291069     14109   \n",
       "1071  https://www.immobilienscout24.de/expose/106595282     14169   \n",
       "2492  https://www.immobilienscout24.de/expose/105518230     14109   \n",
       "3261   https://www.immobilienscout24.de/expose/68925463     14169   \n",
       "2604  https://www.immobilienscout24.de/expose/105189965     14163   \n",
       "2181  https://www.immobilienscout24.de/expose/105996967     14163   \n",
       "1385  https://www.immobilienscout24.de/expose/106495039     14109   \n",
       "3166   https://www.immobilienscout24.de/expose/89349917     14169   \n",
       "713    https://www.immobilienscout24.de/expose/57300477     14129   \n",
       "2037  https://www.immobilienscout24.de/expose/106129364     14167   \n",
       "1064  https://www.immobilienscout24.de/expose/106596584     14169   \n",
       "623   https://www.immobilienscout24.de/expose/106245902     14109   \n",
       "3147   https://www.immobilienscout24.de/expose/91171284     14169   \n",
       "1451  https://www.immobilienscout24.de/expose/106460055     14165   \n",
       "3083   https://www.immobilienscout24.de/expose/96253253     14169   \n",
       "2773  https://www.immobilienscout24.de/expose/104558120     14195   \n",
       "1904  https://www.immobilienscout24.de/expose/106216844     14109   \n",
       "1752  https://www.immobilienscout24.de/expose/106315694     14109   \n",
       "2494  https://www.immobilienscout24.de/expose/105511918     14109   \n",
       "252   https://www.immobilienscout24.de/expose/106296522     14195   \n",
       "3055   https://www.immobilienscout24.de/expose/98023697     14165   \n",
       "1412  https://www.immobilienscout24.de/expose/106484356     14167   \n",
       "2200  https://www.immobilienscout24.de/expose/105949718     14163   \n",
       "375   https://www.immobilienscout24.de/expose/106570653     14195   \n",
       "2232  https://www.immobilienscout24.de/expose/105941148     14195   \n",
       "3196   https://www.immobilienscout24.de/expose/85787616     14163   \n",
       "1980  https://www.immobilienscout24.de/expose/106174394     14129   \n",
       "1526  https://www.immobilienscout24.de/expose/106418297     14167   \n",
       "3186   https://www.immobilienscout24.de/expose/87475137     14195   \n",
       "2274  https://www.immobilienscout24.de/expose/105901612     14195   \n",
       "739   https://www.immobilienscout24.de/expose/106596591     14195   \n",
       "2336  https://www.immobilienscout24.de/expose/105796491     14165   \n",
       "2510  https://www.immobilienscout24.de/expose/105476421     14195   \n",
       "1153  https://www.immobilienscout24.de/expose/106574939     14167   \n",
       "1262  https://www.immobilienscout24.de/expose/106533126     14195   \n",
       "3276   https://www.immobilienscout24.de/expose/62407818     14163   \n",
       "1560  https://www.immobilienscout24.de/expose/106384388     14129   \n",
       "611   https://www.immobilienscout24.de/expose/106296679     14195   \n",
       "2036  https://www.immobilienscout24.de/expose/106129651     14195   \n",
       "854   https://www.immobilienscout24.de/expose/106385218     14195   \n",
       "1743  https://www.immobilienscout24.de/expose/106317805     14169   \n",
       "719    https://www.immobilienscout24.de/expose/85047209     14195   \n",
       "804    https://www.immobilienscout24.de/expose/85123148     14167   \n",
       "1656  https://www.immobilienscout24.de/expose/106350242     14169   \n",
       "156   https://www.immobilienscout24.de/expose/106368136     14169   \n",
       "1613  https://www.immobilienscout24.de/expose/106365380     14163   \n",
       "2658  https://www.immobilienscout24.de/expose/105030507     14163   \n",
       "1742  https://www.immobilienscout24.de/expose/106317810     14169   \n",
       "357   https://www.immobilienscout24.de/expose/105849682     14167   \n",
       "1508  https://www.immobilienscout24.de/expose/106434786     14195   \n",
       "139   https://www.immobilienscout24.de/expose/104927243     14169   \n",
       "2533  https://www.immobilienscout24.de/expose/105408183     14195   \n",
       "906    https://www.immobilienscout24.de/expose/66633796     14167   \n",
       "141    https://www.immobilienscout24.de/expose/69450128     14163   \n",
       "569   https://www.immobilienscout24.de/expose/106489995     14169   \n",
       "\n",
       "      rent_predicted  rent_error  rent_predicted2 rent_error2  \\\n",
       "3169      774.322687 -239.302687       802.642642 -267.622642   \n",
       "3090      574.065009 -165.885009       591.347406 -183.167406   \n",
       "3151      629.757535 -177.927535       634.260168 -182.430168   \n",
       "1933     1065.147978 -115.147978      1260.052699 -310.052699   \n",
       "825       256.102859   93.897141       433.109380  -83.109380   \n",
       "1790      614.251279  -84.251279       629.856273  -99.856273   \n",
       "1071     1131.169515  -82.939515      1215.975747 -167.745747   \n",
       "2492     1248.014875   21.985125      1424.893534 -154.893534   \n",
       "3261      850.784925   59.215075      1005.441058  -95.441058   \n",
       "2604      602.302764  -32.302764       629.408644  -59.408644   \n",
       "2181     1010.457592   -5.157592      1096.988452  -91.688452   \n",
       "1385     1642.410666  -14.410666      1734.694538 -106.694538   \n",
       "3166     1063.477757  146.122243      1265.753563  -56.153563   \n",
       "713      1396.475338    3.524662      1459.929540  -59.929540   \n",
       "2037      837.059869   88.370131       955.697621  -30.267621   \n",
       "1064      905.880449  -37.830449       885.648723  -17.598723   \n",
       "623      1123.075873   56.924127      1197.245279  -17.245279   \n",
       "3147      402.878430   47.121570       454.560786   -4.560786   \n",
       "1451      489.688724   31.851276       518.242532    3.297468   \n",
       "3083      950.396470   -0.396470       936.127064   13.872936   \n",
       "2773     1316.175402  159.194598      1433.912052   41.457948   \n",
       "1904     1615.817765  159.182235      1722.101715   52.898285   \n",
       "1752     1098.216458    0.783542      1061.379450   37.620550   \n",
       "2494      141.968613  208.031387       335.170410   14.829590   \n",
       "252       856.549366   44.410634       858.729302   42.230698   \n",
       "3055      557.594590   48.455410       574.921206   31.128794   \n",
       "1412      702.340400   77.659600       739.295399   40.704601   \n",
       "2200      353.927513   90.892487       420.942562   23.877438   \n",
       "375       696.992847  102.007153       749.583324   49.416676   \n",
       "2232     1050.313913   75.496087      1056.003654   69.806346   \n",
       "3196     1123.988531  196.051469      1217.931447  102.108553   \n",
       "1980      474.230600   20.769400       454.515762   40.484238   \n",
       "1526     1148.125958  307.874042      1331.687891  124.312109   \n",
       "3186      231.193004  163.806996       353.431037   41.568963   \n",
       "2274      745.827094   49.172906       706.101033   88.898967   \n",
       "739       937.487235  269.142765      1070.342618  136.287382   \n",
       "2336      515.617905   74.382095       520.540860   69.459140   \n",
       "2510      884.524685   77.395315       835.823806  126.096194   \n",
       "1153      426.655072  173.344928       518.510297   81.489703   \n",
       "1262     1182.461056  316.538944      1280.065191  218.934809   \n",
       "3276     1396.332157  403.667843      1531.081185  268.918815   \n",
       "1560     1247.737503  348.262497      1356.174413  239.825587   \n",
       "611       721.071413  139.328587       725.105191  135.294809   \n",
       "2036      378.861993  120.138007       416.737225   82.262775   \n",
       "854       575.412597  244.587403       673.233478  146.766522   \n",
       "1743      305.001025  143.868975       366.270552   82.599448   \n",
       "719       353.448845  166.551155       419.178517  100.821483   \n",
       "804       999.073682  395.926318      1121.535427  273.464573   \n",
       "1656     1037.518915  462.481085      1202.181512  297.818488   \n",
       "156       825.955324  302.044676       901.894797  226.105203   \n",
       "1613      526.266617  123.733383       517.658254  132.341746   \n",
       "2658      607.020651  192.979349       628.095894  171.904106   \n",
       "1742      387.216210  138.813790       407.045002  118.984998   \n",
       "357       857.677462  252.322538       849.797722  260.202278   \n",
       "1508     1397.894018  502.105982      1402.905561  497.094439   \n",
       "139       738.080505  326.919495       772.676235  292.323765   \n",
       "2533      712.885184  537.114816       802.250537  447.749463   \n",
       "906       756.672208  385.127792       708.356545  433.443455   \n",
       "141       920.670030  669.329970       965.793145  624.206855   \n",
       "569       755.141225  414.858775       708.755624  461.244376   \n",
       "\n",
       "     rent_error_relative  \n",
       "3169           -0.500211  \n",
       "3090           -0.448742  \n",
       "3151           -0.403758  \n",
       "1933           -0.326371  \n",
       "825            -0.237455  \n",
       "1790           -0.188408  \n",
       "1071           -0.160028  \n",
       "2492           -0.121963  \n",
       "3261           -0.104880  \n",
       "2604           -0.104226  \n",
       "2181           -0.091205  \n",
       "1385           -0.065537  \n",
       "3166           -0.046423  \n",
       "713            -0.042807  \n",
       "2037           -0.032707  \n",
       "1064           -0.020274  \n",
       "623            -0.014615  \n",
       "3147           -0.010135  \n",
       "1451            0.006323  \n",
       "3083            0.014603  \n",
       "2773            0.028100  \n",
       "1904            0.029802  \n",
       "1752            0.034232  \n",
       "2494            0.042370  \n",
       "252             0.046873  \n",
       "3055            0.051363  \n",
       "1412            0.052185  \n",
       "2200            0.053679  \n",
       "375             0.061848  \n",
       "2232            0.062005  \n",
       "3196            0.077353  \n",
       "1980            0.081786  \n",
       "1526            0.085379  \n",
       "3186            0.105238  \n",
       "2274            0.111823  \n",
       "739             0.112949  \n",
       "2336            0.117727  \n",
       "2510            0.131088  \n",
       "1153            0.135816  \n",
       "1262            0.146054  \n",
       "3276            0.149399  \n",
       "1560            0.150267  \n",
       "611             0.157246  \n",
       "2036            0.164855  \n",
       "854             0.178984  \n",
       "1743            0.184016  \n",
       "719             0.193887  \n",
       "804             0.196032  \n",
       "1656            0.198546  \n",
       "156             0.200448  \n",
       "1613            0.203603  \n",
       "2658            0.214880  \n",
       "1742            0.226194  \n",
       "357             0.234416  \n",
       "1508            0.261629  \n",
       "139             0.274482  \n",
       "2533            0.358200  \n",
       "906             0.379614  \n",
       "141             0.392583  \n",
       "569             0.394226  \n",
       "\n",
       "[60 rows x 26 columns]"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top[top[\"district\"].str.contains(\"Zehlendorf\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\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>address</th>\n",
       "      <th>area</th>\n",
       "      <th>balcony</th>\n",
       "      <th>cellar</th>\n",
       "      <th>city</th>\n",
       "      <th>contact_name</th>\n",
       "      <th>district</th>\n",
       "      <th>extra_costs</th>\n",
       "      <th>garden</th>\n",
       "      <th>immo_id</th>\n",
       "      <th>...</th>\n",
       "      <th>rooms</th>\n",
       "      <th>sqm</th>\n",
       "      <th>title</th>\n",
       "      <th>url</th>\n",
       "      <th>zip_code</th>\n",
       "      <th>rent_predicted</th>\n",
       "      <th>rent_error</th>\n",
       "      <th>rent_predicted2</th>\n",
       "      <th>rent_error2</th>\n",
       "      <th>rent_error_relative</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3286</th>\n",
       "      <td>Seegefelder Str. 173</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Jörg-Rüdiger Arndt</td>\n",
       "      <td>Spandau (Spandau)</td>\n",
       "      <td>100.00</td>\n",
       "      <td>0</td>\n",
       "      <td>57409239</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.87</td>\n",
       "      <td>Schöne Single-Wohnung in Spandau</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/57409239</td>\n",
       "      <td>13583</td>\n",
       "      <td>412.434817</td>\n",
       "      <td>-179.674817</td>\n",
       "      <td>449.042049</td>\n",
       "      <td>-216.282049</td>\n",
       "      <td>-0.929206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>911</th>\n",
       "      <td>Germaniapromenade 26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Steffen Haagen</td>\n",
       "      <td>Britz (Neukölln)</td>\n",
       "      <td>200.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106483488</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>67.01</td>\n",
       "      <td>Sonnige 2 Zimmer Dachgeschosswohnung in Berlin...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106483488</td>\n",
       "      <td>12347</td>\n",
       "      <td>773.993156</td>\n",
       "      <td>-357.413156</td>\n",
       "      <td>801.613492</td>\n",
       "      <td>-385.033492</td>\n",
       "      <td>-0.924273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1239</th>\n",
       "      <td>Peter-Anders-Straße  8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Joachim Keyling</td>\n",
       "      <td>Neukölln (Neukölln)</td>\n",
       "      <td>97.35</td>\n",
       "      <td>0</td>\n",
       "      <td>106535338</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>25.62</td>\n",
       "      <td>Blick ins Grüne - am grünen Mauerstreifen.</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106535338</td>\n",
       "      <td>12057</td>\n",
       "      <td>240.632721</td>\n",
       "      <td>-64.112721</td>\n",
       "      <td>335.406017</td>\n",
       "      <td>-158.886017</td>\n",
       "      <td>-0.900102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2950</th>\n",
       "      <td>Schwanter Weg 29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Gabriela Sawy</td>\n",
       "      <td>Spandau (Spandau)</td>\n",
       "      <td>113.72</td>\n",
       "      <td>0</td>\n",
       "      <td>102741767</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>50.47</td>\n",
       "      <td>*Mit WBS* Schöne 2-Zimmerwohnung in Spandau, n...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/102741767</td>\n",
       "      <td>13589</td>\n",
       "      <td>551.601177</td>\n",
       "      <td>-234.651177</td>\n",
       "      <td>583.506172</td>\n",
       "      <td>-266.556172</td>\n",
       "      <td>-0.841004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>936</th>\n",
       "      <td>Wattstrasse 11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sarah Bauer</td>\n",
       "      <td>Oberschöneweide (Köpenick)</td>\n",
       "      <td>150.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106621033</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>120.00</td>\n",
       "      <td>Charismatisches Dachgeschoss mit viel Platz in...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106621033</td>\n",
       "      <td>12459</td>\n",
       "      <td>1229.913263</td>\n",
       "      <td>-401.913263</td>\n",
       "      <td>1419.280170</td>\n",
       "      <td>-591.280170</td>\n",
       "      <td>-0.714106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2117</th>\n",
       "      <td>Altenhofer Str. 40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>M. Richter</td>\n",
       "      <td>Alt-Hohenschönhausen (Hohenschönhausen)</td>\n",
       "      <td>104.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106057089</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>30.35</td>\n",
       "      <td>ANFRAGEN ÜBER DAS KONTAKTFELD!!! Süße 1-Zimmer...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106057089</td>\n",
       "      <td>13055</td>\n",
       "      <td>292.588707</td>\n",
       "      <td>-69.588707</td>\n",
       "      <td>381.862342</td>\n",
       "      <td>-158.862342</td>\n",
       "      <td>-0.712387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2118</th>\n",
       "      <td>Altenhofer Str. 40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>M. Richter</td>\n",
       "      <td>Alt-Hohenschönhausen (Hohenschönhausen)</td>\n",
       "      <td>190.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106056764</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>61.36</td>\n",
       "      <td>ANFRAGEN ÜBER DAS KONTAKTFELD!!! gut geschnitt...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106056764</td>\n",
       "      <td>13055</td>\n",
       "      <td>612.008288</td>\n",
       "      <td>-271.008288</td>\n",
       "      <td>577.608712</td>\n",
       "      <td>-236.608712</td>\n",
       "      <td>-0.693867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3300</th>\n",
       "      <td>Stresowstr. 4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Marcel Reiche</td>\n",
       "      <td>Spandau (Spandau)</td>\n",
       "      <td>301.00</td>\n",
       "      <td>0</td>\n",
       "      <td>42788681</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>91.49</td>\n",
       "      <td>3- Zi-Wohnung mit Balkon in Berlin Spandau, au...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/42788681</td>\n",
       "      <td>13597</td>\n",
       "      <td>980.974124</td>\n",
       "      <td>-351.524124</td>\n",
       "      <td>1062.876268</td>\n",
       "      <td>-433.426268</td>\n",
       "      <td>-0.688579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>971</th>\n",
       "      <td>Sewanstraße 255</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Martin Silber</td>\n",
       "      <td>Friedrichsfelde (Lichtenberg)</td>\n",
       "      <td>218.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106616565</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>74.00</td>\n",
       "      <td>Nur mit Abschlag! Nur Familien oder Paare! Att...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106616565</td>\n",
       "      <td>10319</td>\n",
       "      <td>690.009778</td>\n",
       "      <td>-219.009778</td>\n",
       "      <td>791.836688</td>\n",
       "      <td>-320.836688</td>\n",
       "      <td>-0.681182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1123</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Marina Schulze</td>\n",
       "      <td>Rudow (Neukölln)</td>\n",
       "      <td>160.31</td>\n",
       "      <td>1</td>\n",
       "      <td>106588396</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>86.00</td>\n",
       "      <td>Kuschliges 2-Zimmer Dachgeschoss in Berlin-Rud...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106588396</td>\n",
       "      <td>12357</td>\n",
       "      <td>976.498493</td>\n",
       "      <td>-371.498493</td>\n",
       "      <td>1015.999039</td>\n",
       "      <td>-410.999039</td>\n",
       "      <td>-0.679337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>979</th>\n",
       "      <td>Prinzenallee 57</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Ronald Meißner</td>\n",
       "      <td>Wedding (Wedding)</td>\n",
       "      <td>211.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106614942</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>73.29</td>\n",
       "      <td>++Eine großzügige Wohnung erwartet sie++Wohnbe...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106614942</td>\n",
       "      <td>13359</td>\n",
       "      <td>802.264096</td>\n",
       "      <td>-332.474096</td>\n",
       "      <td>787.861200</td>\n",
       "      <td>-318.071200</td>\n",
       "      <td>-0.677050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>956</th>\n",
       "      <td>Pillnitzer Weg 11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Staaken (Spandau)</td>\n",
       "      <td>360.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106618194</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>87.41</td>\n",
       "      <td>große 4 Zimmer Wohnung mit Balkon und Keller</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106618194</td>\n",
       "      <td>13593</td>\n",
       "      <td>861.827812</td>\n",
       "      <td>-326.827812</td>\n",
       "      <td>890.719214</td>\n",
       "      <td>-355.719214</td>\n",
       "      <td>-0.664896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3281</th>\n",
       "      <td>Goldammerstr. 10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Hausverwaltung Bredemeier</td>\n",
       "      <td>Buckow (Neukölln)</td>\n",
       "      <td>273.50</td>\n",
       "      <td>0</td>\n",
       "      <td>61471168</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>77.26</td>\n",
       "      <td>Bes. So. 19.08. um 15:00 Uhr, Wunderschöne 2-Z...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/61471168</td>\n",
       "      <td>12351</td>\n",
       "      <td>845.871975</td>\n",
       "      <td>-324.371975</td>\n",
       "      <td>867.512634</td>\n",
       "      <td>-346.012634</td>\n",
       "      <td>-0.663495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1434</th>\n",
       "      <td>Residenzstraße 97</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sandra Weiß</td>\n",
       "      <td>Reinickendorf (Reinickendorf)</td>\n",
       "      <td>60.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106471057</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>64.00</td>\n",
       "      <td>Schöne und geräumige 2-Zimmer-Wohnung mit Balk...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106471057</td>\n",
       "      <td>13409</td>\n",
       "      <td>569.451652</td>\n",
       "      <td>-189.451652</td>\n",
       "      <td>630.978918</td>\n",
       "      <td>-250.978918</td>\n",
       "      <td>-0.660471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1833</th>\n",
       "      <td>Teichstraße 1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>A. Kolbe</td>\n",
       "      <td>Reinickendorf (Reinickendorf)</td>\n",
       "      <td>185.61</td>\n",
       "      <td>0</td>\n",
       "      <td>106240631</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>61.81</td>\n",
       "      <td>WBS mit besonderem Wohnbedarf nötig!!!! +++ BA...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106240631</td>\n",
       "      <td>13407</td>\n",
       "      <td>676.163732</td>\n",
       "      <td>-237.313732</td>\n",
       "      <td>728.460473</td>\n",
       "      <td>-289.610473</td>\n",
       "      <td>-0.659930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1492</th>\n",
       "      <td>Tirschenreuther Ring 71</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Marienfelde (Tempelhof)</td>\n",
       "      <td>167.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106440301</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>65.16</td>\n",
       "      <td>Besichtigungstermin Do, 02.08.2018 um 17.00 Uh...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106440301</td>\n",
       "      <td>12279</td>\n",
       "      <td>712.961312</td>\n",
       "      <td>-253.961312</td>\n",
       "      <td>760.213901</td>\n",
       "      <td>-301.213901</td>\n",
       "      <td>-0.656239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>954</th>\n",
       "      <td>Loschwitzer Weg 19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Staaken (Spandau)</td>\n",
       "      <td>125.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106618453</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>67.07</td>\n",
       "      <td>Neu renovierte 2 Zimmer Wohnung mit Balkon und...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106618453</td>\n",
       "      <td>13593</td>\n",
       "      <td>680.816454</td>\n",
       "      <td>-277.816454</td>\n",
       "      <td>663.858145</td>\n",
       "      <td>-260.858145</td>\n",
       "      <td>-0.647291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>Kamekestr. 14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Gabriele Bardt</td>\n",
       "      <td>Reinickendorf (Reinickendorf)</td>\n",
       "      <td>141.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106532699</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>53.29</td>\n",
       "      <td>2-Zimmer-Wohnung in kleiner Wohnanlage</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106532699</td>\n",
       "      <td>13409</td>\n",
       "      <td>582.577050</td>\n",
       "      <td>-209.577050</td>\n",
       "      <td>613.547493</td>\n",
       "      <td>-240.547493</td>\n",
       "      <td>-0.644899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1677</th>\n",
       "      <td>Saatwinkler Damm 161</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Gaby Fröb</td>\n",
       "      <td>Siemensstadt (Spandau)</td>\n",
       "      <td>278.93</td>\n",
       "      <td>0</td>\n",
       "      <td>106340326</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>68.69</td>\n",
       "      <td>Für Selbstrenovierer!</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106340326</td>\n",
       "      <td>13629</td>\n",
       "      <td>698.611105</td>\n",
       "      <td>-270.581105</td>\n",
       "      <td>697.156229</td>\n",
       "      <td>-269.126229</td>\n",
       "      <td>-0.628756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1315</th>\n",
       "      <td>Lichtenhainer Str. 15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Christiane Hoffmann</td>\n",
       "      <td>Hellersdorf (Hellersdorf)</td>\n",
       "      <td>179.42</td>\n",
       "      <td>0</td>\n",
       "      <td>106516071</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>71.20</td>\n",
       "      <td>Familienglück gesucht!</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106516071</td>\n",
       "      <td>12627</td>\n",
       "      <td>704.976645</td>\n",
       "      <td>-252.286645</td>\n",
       "      <td>736.083494</td>\n",
       "      <td>-283.393494</td>\n",
       "      <td>-0.626021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1026</th>\n",
       "      <td>Nahariyastr 32</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Christina Schretzmair</td>\n",
       "      <td>Lichtenrade (Tempelhof)</td>\n",
       "      <td>150.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106611085</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>65.00</td>\n",
       "      <td>Schöne, geräumige zwei Zimmer Wohnung in Berli...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106611085</td>\n",
       "      <td>12309</td>\n",
       "      <td>633.560975</td>\n",
       "      <td>-183.560975</td>\n",
       "      <td>731.200866</td>\n",
       "      <td>-281.200866</td>\n",
       "      <td>-0.624891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1316</th>\n",
       "      <td>Martin-Riesenburger-Str. 13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Christiane Hoffmann</td>\n",
       "      <td>Hellersdorf (Hellersdorf)</td>\n",
       "      <td>181.71</td>\n",
       "      <td>0</td>\n",
       "      <td>106516069</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>71.22</td>\n",
       "      <td>Für jeden ein eigenes Zimmer!</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106516069</td>\n",
       "      <td>12627</td>\n",
       "      <td>705.196332</td>\n",
       "      <td>-252.376332</td>\n",
       "      <td>735.702150</td>\n",
       "      <td>-282.882150</td>\n",
       "      <td>-0.624712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1303</th>\n",
       "      <td>Mark-Twain-Str. 18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Christiane Hoffmann</td>\n",
       "      <td>Hellersdorf (Hellersdorf)</td>\n",
       "      <td>179.47</td>\n",
       "      <td>0</td>\n",
       "      <td>106518678</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>71.22</td>\n",
       "      <td>Hier ist handwerkliches Geschick gefragt!</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106518678</td>\n",
       "      <td>12627</td>\n",
       "      <td>705.196332</td>\n",
       "      <td>-252.376332</td>\n",
       "      <td>735.702150</td>\n",
       "      <td>-282.882150</td>\n",
       "      <td>-0.624712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1127</th>\n",
       "      <td>Boddinstraße 49</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Hardy  Ney</td>\n",
       "      <td>Neukölln (Neukölln)</td>\n",
       "      <td>123.30</td>\n",
       "      <td>0</td>\n",
       "      <td>106587389</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.08</td>\n",
       "      <td>1-Zi.-Balkonwohnung (WBS-pflichtig)</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106587389</td>\n",
       "      <td>12053</td>\n",
       "      <td>350.632207</td>\n",
       "      <td>-96.652207</td>\n",
       "      <td>412.197137</td>\n",
       "      <td>-158.217137</td>\n",
       "      <td>-0.622951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1678</th>\n",
       "      <td>Ostpreußendamm 110A</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Lavinia Kolsut</td>\n",
       "      <td>Lichterfelde (Steglitz)</td>\n",
       "      <td>211.43</td>\n",
       "      <td>0</td>\n",
       "      <td>106340293</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>63.95</td>\n",
       "      <td>Schmuckstück zum Wohlfühlen ! Anmietung nur mi...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106340293</td>\n",
       "      <td>12207</td>\n",
       "      <td>699.670246</td>\n",
       "      <td>-258.840246</td>\n",
       "      <td>714.244514</td>\n",
       "      <td>-273.414514</td>\n",
       "      <td>-0.620227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1159</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Florian Dahnke</td>\n",
       "      <td>Marzahn (Marzahn)</td>\n",
       "      <td>100.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106572624</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>45.00</td>\n",
       "      <td>günstige Wohnung in Berlin-Marzahn</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106572624</td>\n",
       "      <td>12689</td>\n",
       "      <td>354.661444</td>\n",
       "      <td>-74.661444</td>\n",
       "      <td>452.898175</td>\n",
       "      <td>-172.898175</td>\n",
       "      <td>-0.617493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>967</th>\n",
       "      <td>Ringslebenstr. 94</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Vermietungs-Service Neukölln</td>\n",
       "      <td>Buckow (Neukölln)</td>\n",
       "      <td>178.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106616793</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>57.42</td>\n",
       "      <td>WBS-Berechtigung erforderlich. 2-Zimmer-Wohnun...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106616793</td>\n",
       "      <td>12353</td>\n",
       "      <td>574.817454</td>\n",
       "      <td>-215.937454</td>\n",
       "      <td>579.857464</td>\n",
       "      <td>-220.977464</td>\n",
       "      <td>-0.615742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1027</th>\n",
       "      <td>Eschenbachstr. 7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Katrin Finke</td>\n",
       "      <td>Baumschulenweg (Treptow)</td>\n",
       "      <td>150.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106611012</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>90.97</td>\n",
       "      <td>Sanierungsbedürftige Wohnung sucht Mieter</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106611012</td>\n",
       "      <td>12437</td>\n",
       "      <td>916.049776</td>\n",
       "      <td>-366.049776</td>\n",
       "      <td>887.857768</td>\n",
       "      <td>-337.857768</td>\n",
       "      <td>-0.614287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2390</th>\n",
       "      <td>Schildhornstrasse 77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Hardy  Ney</td>\n",
       "      <td>Steglitz (Steglitz)</td>\n",
       "      <td>304.00</td>\n",
       "      <td>0</td>\n",
       "      <td>105725420</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>98.75</td>\n",
       "      <td>4-Zi. Loggia-Balkonwohnung nahe Schloßstr. (WB...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105725420</td>\n",
       "      <td>12163</td>\n",
       "      <td>1039.515338</td>\n",
       "      <td>-380.855338</td>\n",
       "      <td>1061.055928</td>\n",
       "      <td>-402.395928</td>\n",
       "      <td>-0.610931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>955</th>\n",
       "      <td>Loschwitzer Weg 27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Staaken (Spandau)</td>\n",
       "      <td>154.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106618398</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>72.61</td>\n",
       "      <td>NEU renovierte 3 Zimmer Wohnung mit Balkon und...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106618398</td>\n",
       "      <td>13593</td>\n",
       "      <td>720.464582</td>\n",
       "      <td>-284.464582</td>\n",
       "      <td>700.295453</td>\n",
       "      <td>-264.295453</td>\n",
       "      <td>-0.606182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2788</th>\n",
       "      <td>Karl-Stieler-Str. 18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Steglitz (Steglitz)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>104458175</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>62.64</td>\n",
       "      <td>Erstbezug! Terrasse mit teilmöblierter 2 Zi Wo...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/104458175</td>\n",
       "      <td>12167</td>\n",
       "      <td>685.280744</td>\n",
       "      <td>880.719256</td>\n",
       "      <td>682.227095</td>\n",
       "      <td>883.772905</td>\n",
       "      <td>0.564351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3130</th>\n",
       "      <td>Köpenickerstr. 55</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Jessica Serrano</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>60.00</td>\n",
       "      <td>0</td>\n",
       "      <td>92869294</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>26.34</td>\n",
       "      <td>Spacious 1-bedroom in Berlin-Mitte</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/92869294</td>\n",
       "      <td>10197</td>\n",
       "      <td>307.753939</td>\n",
       "      <td>562.246061</td>\n",
       "      <td>377.410765</td>\n",
       "      <td>492.589235</td>\n",
       "      <td>0.566195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2990</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Eva-Jannetje Gerlach</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>101605702</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>65.00</td>\n",
       "      <td>5706 - Chausseestraße - Geschmackvolles und so...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/101605702</td>\n",
       "      <td>10115</td>\n",
       "      <td>711.203816</td>\n",
       "      <td>988.796184</td>\n",
       "      <td>733.629470</td>\n",
       "      <td>966.370530</td>\n",
       "      <td>0.568453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3183</th>\n",
       "      <td>Atzpodienstr. 3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Frau Claudia Ewel</td>\n",
       "      <td>Lichtenberg (Lichtenberg)</td>\n",
       "      <td>200.00</td>\n",
       "      <td>0</td>\n",
       "      <td>87915421</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.76</td>\n",
       "      <td>++ SANIERT ++ Mit großzügige Terrasse in gepfl...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/87915421</td>\n",
       "      <td>10365</td>\n",
       "      <td>358.101567</td>\n",
       "      <td>641.898433</td>\n",
       "      <td>427.833601</td>\n",
       "      <td>572.166399</td>\n",
       "      <td>0.572166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3048</th>\n",
       "      <td>Gutsmuthsstraße 11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Steglitz (Steglitz)</td>\n",
       "      <td>70.00</td>\n",
       "      <td>0</td>\n",
       "      <td>98385971</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>56.25</td>\n",
       "      <td>TOP renovierte Gewerbe Nähe Forum Steglitz und...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/98385971</td>\n",
       "      <td>12163</td>\n",
       "      <td>534.673064</td>\n",
       "      <td>765.326936</td>\n",
       "      <td>546.620199</td>\n",
       "      <td>753.379801</td>\n",
       "      <td>0.579523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>882</th>\n",
       "      <td>Krossenerstr 13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Friedrichshain (Friedrichshain)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106359698</td>\n",
       "      <td>...</td>\n",
       "      <td>2.5</td>\n",
       "      <td>57.00</td>\n",
       "      <td>Fully Furnished + All inclusive, Unique Design...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106359698</td>\n",
       "      <td>10245</td>\n",
       "      <td>528.996051</td>\n",
       "      <td>921.003949</td>\n",
       "      <td>607.871711</td>\n",
       "      <td>842.128289</td>\n",
       "      <td>0.580778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3136</th>\n",
       "      <td>Krausenstr. 37</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>299.00</td>\n",
       "      <td>0</td>\n",
       "      <td>92249224</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>60.00</td>\n",
       "      <td>Erstbezug! Möblierte Neubauwohnung in Mitte Sc...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/92249224</td>\n",
       "      <td>10117</td>\n",
       "      <td>656.282054</td>\n",
       "      <td>933.717946</td>\n",
       "      <td>659.935269</td>\n",
       "      <td>930.064731</td>\n",
       "      <td>0.584946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>824</th>\n",
       "      <td>Gabriele-Tergit-Promenade 21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Guido Bars</td>\n",
       "      <td>Tiergarten (Tiergarten)</td>\n",
       "      <td>266.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106245148</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>63.00</td>\n",
       "      <td>Schöne, geräumige zwei Zimmer Wohnung in Berli...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106245148</td>\n",
       "      <td>10785</td>\n",
       "      <td>611.592271</td>\n",
       "      <td>988.407729</td>\n",
       "      <td>663.161742</td>\n",
       "      <td>936.838258</td>\n",
       "      <td>0.585524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2227</th>\n",
       "      <td>Koloniestr. 11/12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Vanessa Hausauer</td>\n",
       "      <td>Wedding (Wedding)</td>\n",
       "      <td>120.00</td>\n",
       "      <td>1</td>\n",
       "      <td>105943093</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>36.00</td>\n",
       "      <td>Modern möbilierte Studentenapartment mit Dacht...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105943093</td>\n",
       "      <td>13357</td>\n",
       "      <td>401.448604</td>\n",
       "      <td>636.551396</td>\n",
       "      <td>427.011506</td>\n",
       "      <td>610.988494</td>\n",
       "      <td>0.588621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1293</th>\n",
       "      <td>Kaiserstr. 4c</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lichterfelde (Steglitz)</td>\n",
       "      <td>100.71</td>\n",
       "      <td>1</td>\n",
       "      <td>106519517</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>67.14</td>\n",
       "      <td>Drei Terrassen! Möblierte Neubau-Wohnung mit A...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106519517</td>\n",
       "      <td>12209</td>\n",
       "      <td>775.421122</td>\n",
       "      <td>1204.218878</td>\n",
       "      <td>806.222824</td>\n",
       "      <td>1173.417176</td>\n",
       "      <td>0.592743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>Wühlischstraße 29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Julian Karwath</td>\n",
       "      <td>Friedrichshain (Friedrichshain)</td>\n",
       "      <td>150.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106095319</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>80.00</td>\n",
       "      <td>Schöne, geräumige zwei Zimmer Wohnung in Berli...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106095319</td>\n",
       "      <td>10245</td>\n",
       "      <td>745.201289</td>\n",
       "      <td>1154.798711</td>\n",
       "      <td>773.452442</td>\n",
       "      <td>1126.547558</td>\n",
       "      <td>0.592920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Hendrik Schmidt</td>\n",
       "      <td>Kreuzberg (Kreuzberg)</td>\n",
       "      <td>250.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106188446</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>55.51</td>\n",
       "      <td>Hochwertig möblierte Wohnung / 6-24 Monate</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106188446</td>\n",
       "      <td>10963</td>\n",
       "      <td>647.673105</td>\n",
       "      <td>1002.326895</td>\n",
       "      <td>665.702228</td>\n",
       "      <td>984.297772</td>\n",
       "      <td>0.596544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2820</th>\n",
       "      <td>wielandstrasse 25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sheila Brause</td>\n",
       "      <td>Charlottenburg (Charlottenburg)</td>\n",
       "      <td>80.00</td>\n",
       "      <td>0</td>\n",
       "      <td>104163977</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>40.00</td>\n",
       "      <td>Allerbeste Adresse Ku'damm Wohnung 2 Zimmer ko...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/104163977</td>\n",
       "      <td>10707</td>\n",
       "      <td>430.507494</td>\n",
       "      <td>769.492506</td>\n",
       "      <td>480.459007</td>\n",
       "      <td>719.540993</td>\n",
       "      <td>0.599617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>830</th>\n",
       "      <td>Jablonskistraße 21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Jeannette Gerekos</td>\n",
       "      <td>Prenzlauer Berg (Prenzlauer Berg)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>102200242</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>22.00</td>\n",
       "      <td>Berlin - Prenzlauer Berg</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/102200242</td>\n",
       "      <td>10405</td>\n",
       "      <td>200.869365</td>\n",
       "      <td>599.130635</td>\n",
       "      <td>317.559939</td>\n",
       "      <td>482.440061</td>\n",
       "      <td>0.603050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>Monumentenstraße 28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Sandy Ecke</td>\n",
       "      <td>Kreuzberg (Kreuzberg)</td>\n",
       "      <td>80.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106382866</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>30.68</td>\n",
       "      <td>Umfassend modernisiert mit Einbauküche, Duschb...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106382866</td>\n",
       "      <td>10965</td>\n",
       "      <td>349.338514</td>\n",
       "      <td>700.661486</td>\n",
       "      <td>414.853351</td>\n",
       "      <td>635.146649</td>\n",
       "      <td>0.604902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3135</th>\n",
       "      <td>Krausenstr. 37</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>350.00</td>\n",
       "      <td>0</td>\n",
       "      <td>92249264</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>67.00</td>\n",
       "      <td>Erstbezug !Möblierte Neubauwohnung in Mitte nä...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/92249264</td>\n",
       "      <td>10117</td>\n",
       "      <td>711.967336</td>\n",
       "      <td>1038.032664</td>\n",
       "      <td>690.052123</td>\n",
       "      <td>1059.947877</td>\n",
       "      <td>0.605685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1792</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Friedrichshain (Friedrichshain)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106290819</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>55.00</td>\n",
       "      <td>helle, möblierte Mietwohnung direkt im Friedri...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106290819</td>\n",
       "      <td>10245</td>\n",
       "      <td>601.360292</td>\n",
       "      <td>1078.639708</td>\n",
       "      <td>626.424434</td>\n",
       "      <td>1053.575566</td>\n",
       "      <td>0.627128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3095</th>\n",
       "      <td>Mühlenstraße 60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Olaf  Ruhnke</td>\n",
       "      <td>Friedrichshain (Friedrichshain)</td>\n",
       "      <td>200.00</td>\n",
       "      <td>0</td>\n",
       "      <td>95250533</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>60.00</td>\n",
       "      <td>Spektakuläres Wohnen über der Eastside Gallery</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/95250533</td>\n",
       "      <td>10245</td>\n",
       "      <td>656.282054</td>\n",
       "      <td>1133.717946</td>\n",
       "      <td>659.935269</td>\n",
       "      <td>1130.064731</td>\n",
       "      <td>0.631321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3103</th>\n",
       "      <td>Chausseestr. 37 C 2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>94643506</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>43.90</td>\n",
       "      <td>Wong Deso Apartment in the heart of Berlin - W...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/94643506</td>\n",
       "      <td>10115</td>\n",
       "      <td>479.433982</td>\n",
       "      <td>920.566018</td>\n",
       "      <td>508.236661</td>\n",
       "      <td>891.763339</td>\n",
       "      <td>0.636974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>774</th>\n",
       "      <td>Puccinistr. 32</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Ernst Konrad</td>\n",
       "      <td>Weißensee (Weißensee)</td>\n",
       "      <td>100.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106382335</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>50.00</td>\n",
       "      <td>Wohnen auf Zeit 2 ZKB Loft in begehrter Umgebu...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106382335</td>\n",
       "      <td>13088</td>\n",
       "      <td>462.708177</td>\n",
       "      <td>1037.291823</td>\n",
       "      <td>543.395289</td>\n",
       "      <td>956.604711</td>\n",
       "      <td>0.637736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Petra Hubertus</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>200.00</td>\n",
       "      <td>0</td>\n",
       "      <td>106297883</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>45.60</td>\n",
       "      <td>die perfekte single-dg-whg. in mitte am gipsdr...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/106297883</td>\n",
       "      <td>10119</td>\n",
       "      <td>498.107381</td>\n",
       "      <td>1001.892619</td>\n",
       "      <td>539.966823</td>\n",
       "      <td>960.033177</td>\n",
       "      <td>0.640022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3061</th>\n",
       "      <td>Köpenicker Straße 55</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Jessica Serrano</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>97712575</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>40.00</td>\n",
       "      <td>Fully furnished and equipped Apartment in Berl...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/97712575</td>\n",
       "      <td>10179</td>\n",
       "      <td>436.595008</td>\n",
       "      <td>863.404992</td>\n",
       "      <td>465.256742</td>\n",
       "      <td>834.743258</td>\n",
       "      <td>0.642110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>829</th>\n",
       "      <td>Jablonskistraße 21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Jeannette Gerekos</td>\n",
       "      <td>Prenzlauer Berg (Prenzlauer Berg)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>102200296</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>30.00</td>\n",
       "      <td>Berlin - Prenzlauer Berg</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/102200296</td>\n",
       "      <td>10405</td>\n",
       "      <td>267.539000</td>\n",
       "      <td>832.461000</td>\n",
       "      <td>379.622862</td>\n",
       "      <td>720.377138</td>\n",
       "      <td>0.654888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Petra Hubertus reco immobilienbüro</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>134.51</td>\n",
       "      <td>0</td>\n",
       "      <td>105923967</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>39.00</td>\n",
       "      <td>sophienstraße 1 zi-apt. mit südterrasse und ko...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/105923967</td>\n",
       "      <td>10178</td>\n",
       "      <td>446.815840</td>\n",
       "      <td>1053.184160</td>\n",
       "      <td>434.713289</td>\n",
       "      <td>1065.286711</td>\n",
       "      <td>0.710191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Petra Hubertus reco immobilienbüro</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>134.51</td>\n",
       "      <td>0</td>\n",
       "      <td>104969872</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>39.00</td>\n",
       "      <td>sophienstraße 1 zi-apt. mit südterrasse und ko...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/104969872</td>\n",
       "      <td>10178</td>\n",
       "      <td>446.815840</td>\n",
       "      <td>1053.184160</td>\n",
       "      <td>434.713289</td>\n",
       "      <td>1065.286711</td>\n",
       "      <td>0.710191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2787</th>\n",
       "      <td>Weserstr. 37</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Neukölln (Neukölln)</td>\n",
       "      <td>100.00</td>\n",
       "      <td>0</td>\n",
       "      <td>104474841</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.00</td>\n",
       "      <td>Krölln</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/104474841</td>\n",
       "      <td>12045</td>\n",
       "      <td>69.057137</td>\n",
       "      <td>930.942863</td>\n",
       "      <td>286.221026</td>\n",
       "      <td>713.778974</td>\n",
       "      <td>0.713779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3224</th>\n",
       "      <td>Otto-Braun Strasse 67</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Renting  Team Berlin</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>79469157</td>\n",
       "      <td>...</td>\n",
       "      <td>1.5</td>\n",
       "      <td>21.00</td>\n",
       "      <td>Möbliertes Junior Studio Apartment in Berlin M...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/79469157</td>\n",
       "      <td>10178</td>\n",
       "      <td>232.407392</td>\n",
       "      <td>1257.592608</td>\n",
       "      <td>342.208134</td>\n",
       "      <td>1147.791866</td>\n",
       "      <td>0.770330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3221</th>\n",
       "      <td>Otto-Braun Strasse 67</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Renting  Team Berlin</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>79469862</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.00</td>\n",
       "      <td>Möbliertes Junior 1 Bedroom Apartment in Berli...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/79469862</td>\n",
       "      <td>10178</td>\n",
       "      <td>364.601380</td>\n",
       "      <td>1425.398620</td>\n",
       "      <td>404.547534</td>\n",
       "      <td>1385.452466</td>\n",
       "      <td>0.773996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3223</th>\n",
       "      <td>Otto-Braun Strasse 67</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Renting  Team Berlin</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>79469490</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>30.00</td>\n",
       "      <td>Möbliertes Senior Grand Apartment in Berlin Mi...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/79469490</td>\n",
       "      <td>10178</td>\n",
       "      <td>326.751485</td>\n",
       "      <td>1663.248515</td>\n",
       "      <td>424.124734</td>\n",
       "      <td>1565.875266</td>\n",
       "      <td>0.786872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3222</th>\n",
       "      <td>Otto-Braun Strasse 67</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Renting  Team Berlin</td>\n",
       "      <td>Mitte (Mitte)</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>79469592</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>25.00</td>\n",
       "      <td>Möbliertes Mini 1 Bedroom Apartment in Berlin ...</td>\n",
       "      <td>https://www.immobilienscout24.de/expose/79469592</td>\n",
       "      <td>10178</td>\n",
       "      <td>286.947393</td>\n",
       "      <td>1403.052607</td>\n",
       "      <td>358.741515</td>\n",
       "      <td>1331.258485</td>\n",
       "      <td>0.787727</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2993 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           address  area  balcony  cellar    city  \\\n",
       "3286          Seegefelder Str. 173   NaN        1     NaN  Berlin   \n",
       "911           Germaniapromenade 26   NaN        1     NaN  Berlin   \n",
       "1239        Peter-Anders-Straße  8   NaN        0     NaN  Berlin   \n",
       "2950              Schwanter Weg 29   NaN        1     NaN  Berlin   \n",
       "936                 Wattstrasse 11   NaN        0     NaN  Berlin   \n",
       "2117            Altenhofer Str. 40   NaN        0     NaN  Berlin   \n",
       "2118            Altenhofer Str. 40   NaN        0     NaN  Berlin   \n",
       "3300                 Stresowstr. 4   NaN        1     NaN  Berlin   \n",
       "971                Sewanstraße 255   NaN        1     NaN  Berlin   \n",
       "1123                           NaN   NaN        0     NaN  Berlin   \n",
       "979                Prinzenallee 57   NaN        1     NaN  Berlin   \n",
       "956              Pillnitzer Weg 11   NaN        1     NaN  Berlin   \n",
       "3281              Goldammerstr. 10   NaN        1     NaN  Berlin   \n",
       "1434             Residenzstraße 97   NaN        1     NaN  Berlin   \n",
       "1833                 Teichstraße 1   NaN        1     NaN  Berlin   \n",
       "1492       Tirschenreuther Ring 71   NaN        1     NaN  Berlin   \n",
       "954             Loschwitzer Weg 19   NaN        1     NaN  Berlin   \n",
       "484                  Kamekestr. 14   NaN        1     NaN  Berlin   \n",
       "1677          Saatwinkler Damm 161   NaN        1     NaN  Berlin   \n",
       "1315         Lichtenhainer Str. 15   NaN        1     NaN  Berlin   \n",
       "1026                Nahariyastr 32   NaN        1     NaN  Berlin   \n",
       "1316   Martin-Riesenburger-Str. 13   NaN        1     NaN  Berlin   \n",
       "1303            Mark-Twain-Str. 18   NaN        1     NaN  Berlin   \n",
       "1127               Boddinstraße 49   NaN        1     NaN  Berlin   \n",
       "1678           Ostpreußendamm 110A   NaN        1     NaN  Berlin   \n",
       "1159                           NaN   NaN        0     NaN  Berlin   \n",
       "967              Ringslebenstr. 94   NaN        1     NaN  Berlin   \n",
       "1027              Eschenbachstr. 7   NaN        0     NaN  Berlin   \n",
       "2390          Schildhornstrasse 77   NaN        1     NaN  Berlin   \n",
       "955             Loschwitzer Weg 27   NaN        1     NaN  Berlin   \n",
       "...                            ...   ...      ...     ...     ...   \n",
       "2788          Karl-Stieler-Str. 18   NaN        1     NaN  Berlin   \n",
       "3130             Köpenickerstr. 55   NaN        1     NaN  Berlin   \n",
       "2990                           NaN   NaN        1     NaN  Berlin   \n",
       "3183               Atzpodienstr. 3   NaN        1     NaN  Berlin   \n",
       "3048            Gutsmuthsstraße 11   NaN        0     NaN  Berlin   \n",
       "882                Krossenerstr 13   NaN        0     NaN  Berlin   \n",
       "3136                Krausenstr. 37   NaN        1     NaN  Berlin   \n",
       "824   Gabriele-Tergit-Promenade 21   NaN        1     NaN  Berlin   \n",
       "2227             Koloniestr. 11/12   NaN        1     NaN  Berlin   \n",
       "1293                 Kaiserstr. 4c   NaN        1     NaN  Berlin   \n",
       "146              Wühlischstraße 29   NaN        1     NaN  Berlin   \n",
       "1962                           NaN   NaN        1     NaN  Berlin   \n",
       "2820             wielandstrasse 25   NaN        0     NaN  Berlin   \n",
       "830             Jablonskistraße 21   NaN        0     NaN  Berlin   \n",
       "430            Monumentenstraße 28   NaN        0     NaN  Berlin   \n",
       "3135                Krausenstr. 37   NaN        1     NaN  Berlin   \n",
       "1792                           NaN   NaN        1     NaN  Berlin   \n",
       "3095               Mühlenstraße 60   NaN        1     NaN  Berlin   \n",
       "3103           Chausseestr. 37 C 2   NaN        1     NaN  Berlin   \n",
       "774                 Puccinistr. 32   NaN        0     NaN  Berlin   \n",
       "68                             NaN   NaN        1     NaN  Berlin   \n",
       "3061          Köpenicker Straße 55   NaN        1     NaN  Berlin   \n",
       "829             Jablonskistraße 21   NaN        0     NaN  Berlin   \n",
       "67                             NaN   NaN        1     NaN  Berlin   \n",
       "27                             NaN   NaN        1     NaN  Berlin   \n",
       "2787                  Weserstr. 37   NaN        0     NaN  Berlin   \n",
       "3224         Otto-Braun Strasse 67   NaN        0     NaN  Berlin   \n",
       "3221         Otto-Braun Strasse 67   NaN        0     NaN  Berlin   \n",
       "3223         Otto-Braun Strasse 67   NaN        1     NaN  Berlin   \n",
       "3222         Otto-Braun Strasse 67   NaN        0     NaN  Berlin   \n",
       "\n",
       "                            contact_name  \\\n",
       "3286                  Jörg-Rüdiger Arndt   \n",
       "911                       Steffen Haagen   \n",
       "1239                     Joachim Keyling   \n",
       "2950                       Gabriela Sawy   \n",
       "936                          Sarah Bauer   \n",
       "2117                          M. Richter   \n",
       "2118                          M. Richter   \n",
       "3300                       Marcel Reiche   \n",
       "971                        Martin Silber   \n",
       "1123                      Marina Schulze   \n",
       "979                       Ronald Meißner   \n",
       "956                                  NaN   \n",
       "3281           Hausverwaltung Bredemeier   \n",
       "1434                         Sandra Weiß   \n",
       "1833                            A. Kolbe   \n",
       "1492                                 NaN   \n",
       "954                                  NaN   \n",
       "484                       Gabriele Bardt   \n",
       "1677                           Gaby Fröb   \n",
       "1315                 Christiane Hoffmann   \n",
       "1026               Christina Schretzmair   \n",
       "1316                 Christiane Hoffmann   \n",
       "1303                 Christiane Hoffmann   \n",
       "1127                         Hardy  Ney    \n",
       "1678                      Lavinia Kolsut   \n",
       "1159                      Florian Dahnke   \n",
       "967         Vermietungs-Service Neukölln   \n",
       "1027                        Katrin Finke   \n",
       "2390                         Hardy  Ney    \n",
       "955                                  NaN   \n",
       "...                                  ...   \n",
       "2788                                 NaN   \n",
       "3130                     Jessica Serrano   \n",
       "2990                Eva-Jannetje Gerlach   \n",
       "3183                   Frau Claudia Ewel   \n",
       "3048                                 NaN   \n",
       "882                                  NaN   \n",
       "3136                                 NaN   \n",
       "824                           Guido Bars   \n",
       "2227                    Vanessa Hausauer   \n",
       "1293                                 NaN   \n",
       "146                       Julian Karwath   \n",
       "1962                     Hendrik Schmidt   \n",
       "2820                       Sheila Brause   \n",
       "830                    Jeannette Gerekos   \n",
       "430                           Sandy Ecke   \n",
       "3135                                 NaN   \n",
       "1792                                 NaN   \n",
       "3095                        Olaf  Ruhnke   \n",
       "3103                                 NaN   \n",
       "774                         Ernst Konrad   \n",
       "68                        Petra Hubertus   \n",
       "3061                     Jessica Serrano   \n",
       "829                    Jeannette Gerekos   \n",
       "67    Petra Hubertus reco immobilienbüro   \n",
       "27    Petra Hubertus reco immobilienbüro   \n",
       "2787                                 NaN   \n",
       "3224                Renting  Team Berlin   \n",
       "3221                Renting  Team Berlin   \n",
       "3223                Renting  Team Berlin   \n",
       "3222                Renting  Team Berlin   \n",
       "\n",
       "                                     district  extra_costs  garden    immo_id  \\\n",
       "3286                        Spandau (Spandau)       100.00       0   57409239   \n",
       "911                          Britz (Neukölln)       200.00       1  106483488   \n",
       "1239                      Neukölln (Neukölln)        97.35       0  106535338   \n",
       "2950                        Spandau (Spandau)       113.72       0  102741767   \n",
       "936                Oberschöneweide (Köpenick)       150.00       1  106621033   \n",
       "2117  Alt-Hohenschönhausen (Hohenschönhausen)       104.00       0  106057089   \n",
       "2118  Alt-Hohenschönhausen (Hohenschönhausen)       190.00       0  106056764   \n",
       "3300                        Spandau (Spandau)       301.00       0   42788681   \n",
       "971             Friedrichsfelde (Lichtenberg)       218.00       0  106616565   \n",
       "1123                         Rudow (Neukölln)       160.31       1  106588396   \n",
       "979                         Wedding (Wedding)       211.00       0  106614942   \n",
       "956                         Staaken (Spandau)       360.00       0  106618194   \n",
       "3281                        Buckow (Neukölln)       273.50       0   61471168   \n",
       "1434            Reinickendorf (Reinickendorf)        60.00       0  106471057   \n",
       "1833            Reinickendorf (Reinickendorf)       185.61       0  106240631   \n",
       "1492                  Marienfelde (Tempelhof)       167.00       0  106440301   \n",
       "954                         Staaken (Spandau)       125.00       0  106618453   \n",
       "484             Reinickendorf (Reinickendorf)       141.00       0  106532699   \n",
       "1677                   Siemensstadt (Spandau)       278.93       0  106340326   \n",
       "1315                Hellersdorf (Hellersdorf)       179.42       0  106516071   \n",
       "1026                  Lichtenrade (Tempelhof)       150.00       0  106611085   \n",
       "1316                Hellersdorf (Hellersdorf)       181.71       0  106516069   \n",
       "1303                Hellersdorf (Hellersdorf)       179.47       0  106518678   \n",
       "1127                      Neukölln (Neukölln)       123.30       0  106587389   \n",
       "1678                  Lichterfelde (Steglitz)       211.43       0  106340293   \n",
       "1159                        Marzahn (Marzahn)       100.00       0  106572624   \n",
       "967                         Buckow (Neukölln)       178.00       0  106616793   \n",
       "1027                 Baumschulenweg (Treptow)       150.00       0  106611012   \n",
       "2390                      Steglitz (Steglitz)       304.00       0  105725420   \n",
       "955                         Staaken (Spandau)       154.00       0  106618398   \n",
       "...                                       ...          ...     ...        ...   \n",
       "2788                      Steglitz (Steglitz)         0.00       0  104458175   \n",
       "3130                            Mitte (Mitte)        60.00       0   92869294   \n",
       "2990                            Mitte (Mitte)         0.00       0  101605702   \n",
       "3183                Lichtenberg (Lichtenberg)       200.00       0   87915421   \n",
       "3048                      Steglitz (Steglitz)        70.00       0   98385971   \n",
       "882           Friedrichshain (Friedrichshain)         0.00       0  106359698   \n",
       "3136                            Mitte (Mitte)       299.00       0   92249224   \n",
       "824                   Tiergarten (Tiergarten)       266.00       0  106245148   \n",
       "2227                        Wedding (Wedding)       120.00       1  105943093   \n",
       "1293                  Lichterfelde (Steglitz)       100.71       1  106519517   \n",
       "146           Friedrichshain (Friedrichshain)       150.00       0  106095319   \n",
       "1962                    Kreuzberg (Kreuzberg)       250.00       1  106188446   \n",
       "2820          Charlottenburg (Charlottenburg)        80.00       0  104163977   \n",
       "830         Prenzlauer Berg (Prenzlauer Berg)         0.00       0  102200242   \n",
       "430                     Kreuzberg (Kreuzberg)        80.00       0  106382866   \n",
       "3135                            Mitte (Mitte)       350.00       0   92249264   \n",
       "1792          Friedrichshain (Friedrichshain)         0.00       0  106290819   \n",
       "3095          Friedrichshain (Friedrichshain)       200.00       0   95250533   \n",
       "3103                            Mitte (Mitte)         0.00       0   94643506   \n",
       "774                     Weißensee (Weißensee)       100.00       0  106382335   \n",
       "68                              Mitte (Mitte)       200.00       0  106297883   \n",
       "3061                            Mitte (Mitte)         0.00       0   97712575   \n",
       "829         Prenzlauer Berg (Prenzlauer Berg)         0.00       0  102200296   \n",
       "67                              Mitte (Mitte)       134.51       0  105923967   \n",
       "27                              Mitte (Mitte)       134.51       0  104969872   \n",
       "2787                      Neukölln (Neukölln)       100.00       0  104474841   \n",
       "3224                            Mitte (Mitte)         0.00       0   79469157   \n",
       "3221                            Mitte (Mitte)         0.00       0   79469862   \n",
       "3223                            Mitte (Mitte)         0.00       0   79469490   \n",
       "3222                            Mitte (Mitte)         0.00       0   79469592   \n",
       "\n",
       "             ...          rooms     sqm  \\\n",
       "3286         ...            1.0   35.87   \n",
       "911          ...            2.0   67.01   \n",
       "1239         ...            1.0   25.62   \n",
       "2950         ...            2.0   50.47   \n",
       "936          ...            4.0  120.00   \n",
       "2117         ...            1.0   30.35   \n",
       "2118         ...            2.0   61.36   \n",
       "3300         ...            3.0   91.49   \n",
       "971          ...            4.0   74.00   \n",
       "1123         ...            2.0   86.00   \n",
       "979          ...            2.0   73.29   \n",
       "956          ...            4.0   87.41   \n",
       "3281         ...            2.0   77.26   \n",
       "1434         ...            2.0   64.00   \n",
       "1833         ...            2.0   61.81   \n",
       "1492         ...            2.0   65.16   \n",
       "954          ...            2.0   67.07   \n",
       "484          ...            2.0   53.29   \n",
       "1677         ...            2.0   68.69   \n",
       "1315         ...            3.0   71.20   \n",
       "1026         ...            2.0   65.00   \n",
       "1316         ...            3.0   71.22   \n",
       "1303         ...            3.0   71.22   \n",
       "1127         ...            1.0   35.08   \n",
       "1678         ...            2.0   63.95   \n",
       "1159         ...            2.0   45.00   \n",
       "967          ...            2.0   57.42   \n",
       "1027         ...            3.0   90.97   \n",
       "2390         ...            4.0   98.75   \n",
       "955          ...            3.0   72.61   \n",
       "...          ...            ...     ...   \n",
       "2788         ...            2.0   62.64   \n",
       "3130         ...            1.0   26.34   \n",
       "2990         ...            2.0   65.00   \n",
       "3183         ...            1.0   35.76   \n",
       "3048         ...            3.0   56.25   \n",
       "882          ...            2.5   57.00   \n",
       "3136         ...            2.0   60.00   \n",
       "824          ...            2.0   63.00   \n",
       "2227         ...            1.0   36.00   \n",
       "1293         ...            2.0   67.14   \n",
       "146          ...            2.0   80.00   \n",
       "1962         ...            2.0   55.51   \n",
       "2820         ...            2.0   40.00   \n",
       "830          ...            1.0   22.00   \n",
       "430          ...            1.0   30.68   \n",
       "3135         ...            3.0   67.00   \n",
       "1792         ...            2.0   55.00   \n",
       "3095         ...            2.0   60.00   \n",
       "3103         ...            2.0   43.90   \n",
       "774          ...            2.0   50.00   \n",
       "68           ...            2.0   45.60   \n",
       "3061         ...            2.0   40.00   \n",
       "829          ...            2.0   30.00   \n",
       "67           ...            1.0   39.00   \n",
       "27           ...            1.0   39.00   \n",
       "2787         ...            1.0   10.00   \n",
       "3224         ...            1.5   21.00   \n",
       "3221         ...            2.0   34.00   \n",
       "3223         ...            2.0   30.00   \n",
       "3222         ...            1.0   25.00   \n",
       "\n",
       "                                                  title  \\\n",
       "3286                   Schöne Single-Wohnung in Spandau   \n",
       "911   Sonnige 2 Zimmer Dachgeschosswohnung in Berlin...   \n",
       "1239         Blick ins Grüne - am grünen Mauerstreifen.   \n",
       "2950  *Mit WBS* Schöne 2-Zimmerwohnung in Spandau, n...   \n",
       "936   Charismatisches Dachgeschoss mit viel Platz in...   \n",
       "2117  ANFRAGEN ÜBER DAS KONTAKTFELD!!! Süße 1-Zimmer...   \n",
       "2118  ANFRAGEN ÜBER DAS KONTAKTFELD!!! gut geschnitt...   \n",
       "3300  3- Zi-Wohnung mit Balkon in Berlin Spandau, au...   \n",
       "971   Nur mit Abschlag! Nur Familien oder Paare! Att...   \n",
       "1123  Kuschliges 2-Zimmer Dachgeschoss in Berlin-Rud...   \n",
       "979   ++Eine großzügige Wohnung erwartet sie++Wohnbe...   \n",
       "956        große 4 Zimmer Wohnung mit Balkon und Keller   \n",
       "3281  Bes. So. 19.08. um 15:00 Uhr, Wunderschöne 2-Z...   \n",
       "1434  Schöne und geräumige 2-Zimmer-Wohnung mit Balk...   \n",
       "1833  WBS mit besonderem Wohnbedarf nötig!!!! +++ BA...   \n",
       "1492  Besichtigungstermin Do, 02.08.2018 um 17.00 Uh...   \n",
       "954   Neu renovierte 2 Zimmer Wohnung mit Balkon und...   \n",
       "484              2-Zimmer-Wohnung in kleiner Wohnanlage   \n",
       "1677                              Für Selbstrenovierer!   \n",
       "1315                             Familienglück gesucht!   \n",
       "1026  Schöne, geräumige zwei Zimmer Wohnung in Berli...   \n",
       "1316                      Für jeden ein eigenes Zimmer!   \n",
       "1303          Hier ist handwerkliches Geschick gefragt!   \n",
       "1127                1-Zi.-Balkonwohnung (WBS-pflichtig)   \n",
       "1678  Schmuckstück zum Wohlfühlen ! Anmietung nur mi...   \n",
       "1159                 günstige Wohnung in Berlin-Marzahn   \n",
       "967   WBS-Berechtigung erforderlich. 2-Zimmer-Wohnun...   \n",
       "1027          Sanierungsbedürftige Wohnung sucht Mieter   \n",
       "2390  4-Zi. Loggia-Balkonwohnung nahe Schloßstr. (WB...   \n",
       "955   NEU renovierte 3 Zimmer Wohnung mit Balkon und...   \n",
       "...                                                 ...   \n",
       "2788  Erstbezug! Terrasse mit teilmöblierter 2 Zi Wo...   \n",
       "3130                 Spacious 1-bedroom in Berlin-Mitte   \n",
       "2990  5706 - Chausseestraße - Geschmackvolles und so...   \n",
       "3183  ++ SANIERT ++ Mit großzügige Terrasse in gepfl...   \n",
       "3048  TOP renovierte Gewerbe Nähe Forum Steglitz und...   \n",
       "882   Fully Furnished + All inclusive, Unique Design...   \n",
       "3136  Erstbezug! Möblierte Neubauwohnung in Mitte Sc...   \n",
       "824   Schöne, geräumige zwei Zimmer Wohnung in Berli...   \n",
       "2227  Modern möbilierte Studentenapartment mit Dacht...   \n",
       "1293  Drei Terrassen! Möblierte Neubau-Wohnung mit A...   \n",
       "146   Schöne, geräumige zwei Zimmer Wohnung in Berli...   \n",
       "1962         Hochwertig möblierte Wohnung / 6-24 Monate   \n",
       "2820  Allerbeste Adresse Ku'damm Wohnung 2 Zimmer ko...   \n",
       "830                            Berlin - Prenzlauer Berg   \n",
       "430   Umfassend modernisiert mit Einbauküche, Duschb...   \n",
       "3135  Erstbezug !Möblierte Neubauwohnung in Mitte nä...   \n",
       "1792  helle, möblierte Mietwohnung direkt im Friedri...   \n",
       "3095     Spektakuläres Wohnen über der Eastside Gallery   \n",
       "3103  Wong Deso Apartment in the heart of Berlin - W...   \n",
       "774   Wohnen auf Zeit 2 ZKB Loft in begehrter Umgebu...   \n",
       "68    die perfekte single-dg-whg. in mitte am gipsdr...   \n",
       "3061  Fully furnished and equipped Apartment in Berl...   \n",
       "829                            Berlin - Prenzlauer Berg   \n",
       "67    sophienstraße 1 zi-apt. mit südterrasse und ko...   \n",
       "27    sophienstraße 1 zi-apt. mit südterrasse und ko...   \n",
       "2787                                             Krölln   \n",
       "3224  Möbliertes Junior Studio Apartment in Berlin M...   \n",
       "3221  Möbliertes Junior 1 Bedroom Apartment in Berli...   \n",
       "3223  Möbliertes Senior Grand Apartment in Berlin Mi...   \n",
       "3222  Möbliertes Mini 1 Bedroom Apartment in Berlin ...   \n",
       "\n",
       "                                                    url  zip_code  \\\n",
       "3286   https://www.immobilienscout24.de/expose/57409239     13583   \n",
       "911   https://www.immobilienscout24.de/expose/106483488     12347   \n",
       "1239  https://www.immobilienscout24.de/expose/106535338     12057   \n",
       "2950  https://www.immobilienscout24.de/expose/102741767     13589   \n",
       "936   https://www.immobilienscout24.de/expose/106621033     12459   \n",
       "2117  https://www.immobilienscout24.de/expose/106057089     13055   \n",
       "2118  https://www.immobilienscout24.de/expose/106056764     13055   \n",
       "3300   https://www.immobilienscout24.de/expose/42788681     13597   \n",
       "971   https://www.immobilienscout24.de/expose/106616565     10319   \n",
       "1123  https://www.immobilienscout24.de/expose/106588396     12357   \n",
       "979   https://www.immobilienscout24.de/expose/106614942     13359   \n",
       "956   https://www.immobilienscout24.de/expose/106618194     13593   \n",
       "3281   https://www.immobilienscout24.de/expose/61471168     12351   \n",
       "1434  https://www.immobilienscout24.de/expose/106471057     13409   \n",
       "1833  https://www.immobilienscout24.de/expose/106240631     13407   \n",
       "1492  https://www.immobilienscout24.de/expose/106440301     12279   \n",
       "954   https://www.immobilienscout24.de/expose/106618453     13593   \n",
       "484   https://www.immobilienscout24.de/expose/106532699     13409   \n",
       "1677  https://www.immobilienscout24.de/expose/106340326     13629   \n",
       "1315  https://www.immobilienscout24.de/expose/106516071     12627   \n",
       "1026  https://www.immobilienscout24.de/expose/106611085     12309   \n",
       "1316  https://www.immobilienscout24.de/expose/106516069     12627   \n",
       "1303  https://www.immobilienscout24.de/expose/106518678     12627   \n",
       "1127  https://www.immobilienscout24.de/expose/106587389     12053   \n",
       "1678  https://www.immobilienscout24.de/expose/106340293     12207   \n",
       "1159  https://www.immobilienscout24.de/expose/106572624     12689   \n",
       "967   https://www.immobilienscout24.de/expose/106616793     12353   \n",
       "1027  https://www.immobilienscout24.de/expose/106611012     12437   \n",
       "2390  https://www.immobilienscout24.de/expose/105725420     12163   \n",
       "955   https://www.immobilienscout24.de/expose/106618398     13593   \n",
       "...                                                 ...       ...   \n",
       "2788  https://www.immobilienscout24.de/expose/104458175     12167   \n",
       "3130   https://www.immobilienscout24.de/expose/92869294     10197   \n",
       "2990  https://www.immobilienscout24.de/expose/101605702     10115   \n",
       "3183   https://www.immobilienscout24.de/expose/87915421     10365   \n",
       "3048   https://www.immobilienscout24.de/expose/98385971     12163   \n",
       "882   https://www.immobilienscout24.de/expose/106359698     10245   \n",
       "3136   https://www.immobilienscout24.de/expose/92249224     10117   \n",
       "824   https://www.immobilienscout24.de/expose/106245148     10785   \n",
       "2227  https://www.immobilienscout24.de/expose/105943093     13357   \n",
       "1293  https://www.immobilienscout24.de/expose/106519517     12209   \n",
       "146   https://www.immobilienscout24.de/expose/106095319     10245   \n",
       "1962  https://www.immobilienscout24.de/expose/106188446     10963   \n",
       "2820  https://www.immobilienscout24.de/expose/104163977     10707   \n",
       "830   https://www.immobilienscout24.de/expose/102200242     10405   \n",
       "430   https://www.immobilienscout24.de/expose/106382866     10965   \n",
       "3135   https://www.immobilienscout24.de/expose/92249264     10117   \n",
       "1792  https://www.immobilienscout24.de/expose/106290819     10245   \n",
       "3095   https://www.immobilienscout24.de/expose/95250533     10245   \n",
       "3103   https://www.immobilienscout24.de/expose/94643506     10115   \n",
       "774   https://www.immobilienscout24.de/expose/106382335     13088   \n",
       "68    https://www.immobilienscout24.de/expose/106297883     10119   \n",
       "3061   https://www.immobilienscout24.de/expose/97712575     10179   \n",
       "829   https://www.immobilienscout24.de/expose/102200296     10405   \n",
       "67    https://www.immobilienscout24.de/expose/105923967     10178   \n",
       "27    https://www.immobilienscout24.de/expose/104969872     10178   \n",
       "2787  https://www.immobilienscout24.de/expose/104474841     12045   \n",
       "3224   https://www.immobilienscout24.de/expose/79469157     10178   \n",
       "3221   https://www.immobilienscout24.de/expose/79469862     10178   \n",
       "3223   https://www.immobilienscout24.de/expose/79469490     10178   \n",
       "3222   https://www.immobilienscout24.de/expose/79469592     10178   \n",
       "\n",
       "      rent_predicted   rent_error  rent_predicted2  rent_error2  \\\n",
       "3286      412.434817  -179.674817       449.042049  -216.282049   \n",
       "911       773.993156  -357.413156       801.613492  -385.033492   \n",
       "1239      240.632721   -64.112721       335.406017  -158.886017   \n",
       "2950      551.601177  -234.651177       583.506172  -266.556172   \n",
       "936      1229.913263  -401.913263      1419.280170  -591.280170   \n",
       "2117      292.588707   -69.588707       381.862342  -158.862342   \n",
       "2118      612.008288  -271.008288       577.608712  -236.608712   \n",
       "3300      980.974124  -351.524124      1062.876268  -433.426268   \n",
       "971       690.009778  -219.009778       791.836688  -320.836688   \n",
       "1123      976.498493  -371.498493      1015.999039  -410.999039   \n",
       "979       802.264096  -332.474096       787.861200  -318.071200   \n",
       "956       861.827812  -326.827812       890.719214  -355.719214   \n",
       "3281      845.871975  -324.371975       867.512634  -346.012634   \n",
       "1434      569.451652  -189.451652       630.978918  -250.978918   \n",
       "1833      676.163732  -237.313732       728.460473  -289.610473   \n",
       "1492      712.961312  -253.961312       760.213901  -301.213901   \n",
       "954       680.816454  -277.816454       663.858145  -260.858145   \n",
       "484       582.577050  -209.577050       613.547493  -240.547493   \n",
       "1677      698.611105  -270.581105       697.156229  -269.126229   \n",
       "1315      704.976645  -252.286645       736.083494  -283.393494   \n",
       "1026      633.560975  -183.560975       731.200866  -281.200866   \n",
       "1316      705.196332  -252.376332       735.702150  -282.882150   \n",
       "1303      705.196332  -252.376332       735.702150  -282.882150   \n",
       "1127      350.632207   -96.652207       412.197137  -158.217137   \n",
       "1678      699.670246  -258.840246       714.244514  -273.414514   \n",
       "1159      354.661444   -74.661444       452.898175  -172.898175   \n",
       "967       574.817454  -215.937454       579.857464  -220.977464   \n",
       "1027      916.049776  -366.049776       887.857768  -337.857768   \n",
       "2390     1039.515338  -380.855338      1061.055928  -402.395928   \n",
       "955       720.464582  -284.464582       700.295453  -264.295453   \n",
       "...              ...          ...              ...          ...   \n",
       "2788      685.280744   880.719256       682.227095   883.772905   \n",
       "3130      307.753939   562.246061       377.410765   492.589235   \n",
       "2990      711.203816   988.796184       733.629470   966.370530   \n",
       "3183      358.101567   641.898433       427.833601   572.166399   \n",
       "3048      534.673064   765.326936       546.620199   753.379801   \n",
       "882       528.996051   921.003949       607.871711   842.128289   \n",
       "3136      656.282054   933.717946       659.935269   930.064731   \n",
       "824       611.592271   988.407729       663.161742   936.838258   \n",
       "2227      401.448604   636.551396       427.011506   610.988494   \n",
       "1293      775.421122  1204.218878       806.222824  1173.417176   \n",
       "146       745.201289  1154.798711       773.452442  1126.547558   \n",
       "1962      647.673105  1002.326895       665.702228   984.297772   \n",
       "2820      430.507494   769.492506       480.459007   719.540993   \n",
       "830       200.869365   599.130635       317.559939   482.440061   \n",
       "430       349.338514   700.661486       414.853351   635.146649   \n",
       "3135      711.967336  1038.032664       690.052123  1059.947877   \n",
       "1792      601.360292  1078.639708       626.424434  1053.575566   \n",
       "3095      656.282054  1133.717946       659.935269  1130.064731   \n",
       "3103      479.433982   920.566018       508.236661   891.763339   \n",
       "774       462.708177  1037.291823       543.395289   956.604711   \n",
       "68        498.107381  1001.892619       539.966823   960.033177   \n",
       "3061      436.595008   863.404992       465.256742   834.743258   \n",
       "829       267.539000   832.461000       379.622862   720.377138   \n",
       "67        446.815840  1053.184160       434.713289  1065.286711   \n",
       "27        446.815840  1053.184160       434.713289  1065.286711   \n",
       "2787       69.057137   930.942863       286.221026   713.778974   \n",
       "3224      232.407392  1257.592608       342.208134  1147.791866   \n",
       "3221      364.601380  1425.398620       404.547534  1385.452466   \n",
       "3223      326.751485  1663.248515       424.124734  1565.875266   \n",
       "3222      286.947393  1403.052607       358.741515  1331.258485   \n",
       "\n",
       "     rent_error_relative  \n",
       "3286           -0.929206  \n",
       "911            -0.924273  \n",
       "1239           -0.900102  \n",
       "2950           -0.841004  \n",
       "936            -0.714106  \n",
       "2117           -0.712387  \n",
       "2118           -0.693867  \n",
       "3300           -0.688579  \n",
       "971            -0.681182  \n",
       "1123           -0.679337  \n",
       "979            -0.677050  \n",
       "956            -0.664896  \n",
       "3281           -0.663495  \n",
       "1434           -0.660471  \n",
       "1833           -0.659930  \n",
       "1492           -0.656239  \n",
       "954            -0.647291  \n",
       "484            -0.644899  \n",
       "1677           -0.628756  \n",
       "1315           -0.626021  \n",
       "1026           -0.624891  \n",
       "1316           -0.624712  \n",
       "1303           -0.624712  \n",
       "1127           -0.622951  \n",
       "1678           -0.620227  \n",
       "1159           -0.617493  \n",
       "967            -0.615742  \n",
       "1027           -0.614287  \n",
       "2390           -0.610931  \n",
       "955            -0.606182  \n",
       "...                  ...  \n",
       "2788            0.564351  \n",
       "3130            0.566195  \n",
       "2990            0.568453  \n",
       "3183            0.572166  \n",
       "3048            0.579523  \n",
       "882             0.580778  \n",
       "3136            0.584946  \n",
       "824             0.585524  \n",
       "2227            0.588621  \n",
       "1293            0.592743  \n",
       "146             0.592920  \n",
       "1962            0.596544  \n",
       "2820            0.599617  \n",
       "830             0.603050  \n",
       "430             0.604902  \n",
       "3135            0.605685  \n",
       "1792            0.627128  \n",
       "3095            0.631321  \n",
       "3103            0.636974  \n",
       "774             0.637736  \n",
       "68              0.640022  \n",
       "3061            0.642110  \n",
       "829             0.654888  \n",
       "67              0.710191  \n",
       "27              0.710191  \n",
       "2787            0.713779  \n",
       "3224            0.770330  \n",
       "3221            0.773996  \n",
       "3223            0.786872  \n",
       "3222            0.787727  \n",
       "\n",
       "[2993 rows x 26 columns]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}