{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "import re\n", "import json\n", "import numpy as np\n", "import timeit \n", "from datetime import datetime" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Cufflinks wrapper on plotly\n", "import cufflinks\n", "from IPython.core.interactiveshell import InteractiveShell\n", "InteractiveShell.ast_node_interactivity = 'all'\n", "\n", "from plotly.offline import iplot\n", "cufflinks.go_offline()\n", "\n", "# Set global theme\n", "\n", "import plotly.figure_factory as ff\n", "\n", "import plotly.graph_objects as go\n", "import plotly.express as px" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "import plotly.express as px\n", "from shapely.geometry import Polygon, MultiPolygon\n", "import geopandas as gpd\n", "import matplotlib.pyplot as plt\n", "import geojsoncontour\n", "\n", "from scipy.interpolate import griddata\n", "from numpy import linspace" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "from sklearn.model_selection import train_test_split" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "#Selecting a central city point to center all graphs around - Swietokrzyska Subway \n", "center_coors=52.235176, 21.008393" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Project overwiev" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This notebook is 3rd part of a Warsaw Real Estate market analysis project. In this part we build initial model for real estate benchmarking with focus on Feature Selection and Error analysis based on spatial data, which allows to determine if we can improve model accuracy with data enrichment - especially with data desribing building location, which is the key driver of price and is not present in the offer itself. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Data input and initial transformation" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "## Reading data from GitHub\n", "df = pd.read_excel(r\"https://raw.githubusercontent.com/Jan-Majewski/Project_Portfolio/master/03_Real_Estate_pricing_in_Warsaw/RE_models_input_enriched.xlsx\")" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Idoffer_dateAreaPricelatitudelongitudebuild_yearbuilding_floors_numrooms_numCity...time_return_transit_5PMdistance_return_driving_5PMtime_return_driving_5PMprice_decrease_from_20kprice_decrease_per_10minrestaurant_price_levelrestaurant_mean_ratingrestaurant_mean_popularityrestaurant_countrestaurant_ratings_count
0546932642020-07-0759.3141457652.34411320.944478202033warszawa...48.18333315.9625.6512215.6326532446.3883821.754.325233.8102338
1601391852020-07-0780.0061800052.34399820.944001199843warszawa...48.18333315.9625.6512215.6326532446.3883821.754.325233.8102338
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5 rows × 75 columns

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" ], "text/plain": [ " Id offer_date Area Price latitude longitude build_year \\\n", "0 54693264 2020-07-07 59.31 414576 52.344113 20.944478 2020 \n", "1 60139185 2020-07-07 80.00 618000 52.343998 20.944001 1998 \n", "2 60654016 2020-07-07 65.12 620000 52.345895 20.943476 2012 \n", "3 60647324 2020-07-07 102.56 614334 52.342630 20.942790 2020 \n", "4 59470914 2020-07-07 52.00 398000 52.344822 20.941277 2021 \n", "\n", " building_floors_num rooms_num City ... time_return_transit_5PM \\\n", "0 3 3 warszawa ... 48.183333 \n", "1 4 3 warszawa ... 48.183333 \n", "2 4 3 warszawa ... 48.183333 \n", "3 3 4 warszawa ... 48.183333 \n", "4 5 3 warszawa ... 48.183333 \n", "\n", " distance_return_driving_5PM time_return_driving_5PM price_decrease_from_20k \\\n", "0 15.96 25.65 12215.632653 \n", "1 15.96 25.65 12215.632653 \n", "2 15.96 25.65 12215.632653 \n", "3 15.96 25.65 12215.632653 \n", "4 15.96 25.65 12215.632653 \n", "\n", " price_decrease_per_10min restaurant_price_level restaurant_mean_rating \\\n", "0 2446.388382 1.75 4.325 \n", "1 2446.388382 1.75 4.325 \n", "2 2446.388382 1.75 4.325 \n", "3 2446.388382 1.75 4.325 \n", "4 2446.388382 1.75 4.325 \n", "\n", " restaurant_mean_popularity restaurant_count restaurant_ratings_count \n", "0 233.8 10 2338 \n", "1 233.8 10 2338 \n", "2 233.8 10 2338 \n", "3 233.8 10 2338 \n", "4 233.8 10 2338 \n", "\n", "[5 rows x 75 columns]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "(25240, 75)" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.shape" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "df['rooms_num']=np.where(df['rooms_num']==\"more\",10,df['rooms_num'])" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "## Removing columns not needed in this project\n", "df.drop(columns=['floor_no',\"City\",\"district_old\",'price_decrease_from_20k','price_decrease_per_10min'],inplace=True)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['Id', 'offer_date', 'Area', 'Price', 'latitude', 'longitude',\n", " 'build_year', 'building_floors_num', 'rooms_num', 'subdistrict',\n", " 'market', 'Building_material', 'Building_ownership', 'Building_type',\n", " 'Construction_status', 'Heating', 'Windows_type',\n", " 'Equipment_types_dishwasher', 'Equipment_types_fridge',\n", " 'Equipment_types_furniture', 'Equipment_types_oven',\n", " 'Equipment_types_stove', 'Equipment_types_tv',\n", " 'Equipment_types_washing_machine', 'Extras_types_air_conditioning',\n", " 'Extras_types_attic', 'Extras_types_balcony', 'Extras_types_basement',\n", " 'Extras_types_garage', 'Extras_types_garden', 'Extras_types_lift',\n", " 'Extras_types_separate_kitchen', 'Extras_types_terrace',\n", " 'Extras_types_two_storey', 'Extras_types_usable_room',\n", " 'Media_types_cable-television', 'Media_types_cable_television',\n", " 'Media_types_electricity', 'Media_types_internet', 'Media_types_phone',\n", " 'Media_types_sewage', 'Media_types_water', 'Security_types_alarm',\n", " 'Security_types_anti_burglary_door', 'Security_types_closed_area',\n", " 'Security_types_entryphone', 'Security_types_monitoring',\n", " 'Security_types_roller_shutters', 'floor_num', 'district', 'unit_price',\n", " 'lon_mod', 'lat_mod', 'index', 'grid_price', 'sample_size', 'geo_Id',\n", " 'distance_transit_8AM', 'time_transit_8AM', 'distance_driving_8AM',\n", " 'time_driving_8AM', 'distance_return_transit_5PM',\n", " 'time_return_transit_5PM', 'distance_return_driving_5PM',\n", " 'time_return_driving_5PM', 'restaurant_price_level',\n", " 'restaurant_mean_rating', 'restaurant_mean_popularity',\n", " 'restaurant_count', 'restaurant_ratings_count'],\n", " dtype='object')" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.columns" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "# Averaging distance and transport time from morning and evening\n", "df[\"distance_driving\"]=(df.distance_driving_8AM+df.distance_return_driving_5PM)/2\n", "df[\"distance_transit\"]=(df.distance_transit_8AM+df.distance_return_transit_5PM)/2\n", "df[\"time_driving\"]=(df.time_driving_8AM+df.time_return_driving_5PM)/2\n", "df[\"time_transit\"]=(df.time_return_transit_5PM+df.time_transit_8AM)/2" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "# Removing morning and evening transport data to leave only averages\n", "df.drop(columns=['distance_transit_8AM', 'time_transit_8AM', 'distance_driving_8AM',\n", " 'time_driving_8AM', 'distance_return_transit_5PM',\n", " 'time_return_transit_5PM', 'distance_return_driving_5PM',\n", " 'time_return_driving_5PM'],inplace=True)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "#Mapping districts between East and West banks of Vistula River\n", "\n", "east_bank_dict={\n", " 'Wola':0,\n", " 'Subburbs':0,\n", " 'Downtown':0,\n", " 'Ochota':0,\n", " 'Mokotow':0,\n", " 'Bialoleka':1,\n", " 'Bielany':0,\n", " 'Bemowo':0,\n", " 'Southern Praga':1,\n", " 'Wilanow':0,\n", " 'Praga':1,\n", " 'Ursynow':0,\n", " 'Zoliborz':0,\n", " 'Wlochy':0,\n", " 'Targowek':1,\n", " 'Wawer':1,\n", " \"Other\":0}\n", "\n", "df[\"east_bank\"]=df.district.apply(lambda x: east_bank_dict[x])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Data exploration" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Category composition\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's investigate categorical data composition to see how complete and diverse each category looks. " ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "#Unique features with key property characteristics\n", "unique_features=[\"district\",\"market\",\"Building_material\",\"Building_ownership\",\"Building_type\",\"Construction_status\",\"Heating\",\n", "\"Windows_type\"]" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " Feature summary for district - Share of category within whole sample\n" ] }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hoverlabel": { "namelength": 0 }, "hovertemplate": "colour=valid_data
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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "----------------------------------------------------------------------------------------------------------------------------\n", "\n", "\n", "\n" ] } ], "source": [ "# Iteraring through each category allows us to create 8 graphs with 10 lines of code\n", "\n", "for feature in unique_features:\n", " feature_list=[\"Id\"]\n", " feature_list.append(feature)\n", "\n", " df_temp=df[feature_list].groupby(feature, as_index=False).count()\n", " df_temp.rename(columns={\"Id\":\"share\"},inplace=True)\n", " df_temp.sort_values(by=\"share\",inplace=True, ascending=False)\n", " df_temp[\"share\"]=df_temp[\"share\"]/df.shape[0]\n", " df_temp[\"share\"]=np.around(df_temp[\"share\"],3)*100\n", " df_temp[\"colour\"]=np.where(df_temp[feature]==\"not_specified\",\"missing_data\",\"valid_data\")\n", " \n", " fig = px.bar(df_temp, x=feature, y='share', color=\"colour\",\n", " color_discrete_sequence=[\"blue\", \"red\"],\n", " category_orders={\"colour\": [\"valid_data\", \"missing_data\"]},)\n", " print(\"\\n Feature summary for {} - Share of category within whole sample\".format(feature))\n", " fig.show()\n", " print(\"----------------------------------------------------------------------------------------------------------------------------\\n\\n\\n\")\n", "\n", " " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Average unit price by feature " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Are there any clear relations between unit price and categorical features? Let's investigate using box plots." ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " Unit price distribution in split by district\n" ] }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "boxpoints": "suspectedoutliers", "hoverlabel": { "namelength": 0 }, "hovertemplate": "district=%{x}
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"Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", 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"Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", 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"Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", 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"Ursynow", "Ursynow", "Ursynow", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Downtown", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Downtown", "Downtown", "Downtown", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Downtown", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Downtown", "Downtown", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Downtown", "Downtown", "Mokotow", "Downtown", "Downtown", "Mokotow", "Mokotow", "Mokotow", "Downtown", "Mokotow", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Wlochy", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Wlochy", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Mokotow", "Mokotow", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Mokotow", "Ochota", "Ochota", "Ochota", "Ochota", "Mokotow", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Ochota", "Downtown", "Ochota", "Ochota", "Downtown", "Ochota", "Wola", "Wola", "Wola", "Wola", "Wola", "Downtown", "Wola", "Downtown", "Wola", "Downtown", "Ochota", "Mokotow", "Downtown", "Mokotow", "Downtown", "Downtown", "Mokotow", "Mokotow", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Mokotow", "Mokotow", "Mokotow", "Downtown", "Mokotow", "Mokotow", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", 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"Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Downtown", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Downtown", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Downtown", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Wilanow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Wilanow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Wilanow", "Mokotow", "Mokotow", "Mokotow", "Wilanow", "Mokotow", "Mokotow", "Mokotow", "Wilanow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Wilanow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Wilanow", "Downtown", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Downtown", "Wola", "Wola", "Wola", "Wola", "Wola", "Downtown", "Wola", "Wola", "Wola", "Downtown", "Wola", "Downtown", "Downtown", "Wola", "Wola", "Downtown", "Downtown", "Downtown", "Downtown", "Wola", "Wola", "Wola", "Wola", "Downtown", "Wola", "Wola", "Wola", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Wola", "Downtown", "Wola", "Wola", "Wola", "Downtown", "Downtown", "Wola", "Wola", "Downtown", "Wola", "Wola", "Wola", "Wola", "Wola", "Downtown", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Downtown", "Wola", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Wola", "Wola", "Southern Praga", "Wola", "Southern Praga", "Wola", "Wola", "Wola", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Wilanow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Wilanow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Ochota", "Ochota", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Ursynow", "Ursynow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Wawer", "Subburbs", "Subburbs", "Wawer", "Subburbs", "Subburbs", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Wola", "Wola", "Wola", "Downtown", "Downtown", "Wola", "Downtown", "Wola", "Downtown", "Wola", "Downtown", "Wola", "Wola", "Wola", "Downtown", "Downtown", "Downtown", "Downtown", "Wola", "Downtown", "Downtown", "Downtown", "Downtown", "Wola", "Downtown", "Wola", "Wola", "Wola", "Downtown", "Wola", "Downtown", "Downtown", "Downtown", "Wola", "Wola", "Downtown", "Wola", "Downtown", "Downtown", "Wola", "Wola", "Wola", "Downtown", "Wola", "Downtown", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Ochota", "Ochota", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Ochota", "Wlochy", "Ochota", "Wlochy", "Ochota", "Wlochy", "Wlochy", "Wlochy", "Ochota", "Wlochy", "Wlochy", "Ochota", "Ochota", "Wlochy", "Wlochy", "Wlochy", "Ochota", "Ochota", "Wlochy", "Wlochy", "Wlochy", "Ochota", "Wlochy", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Ursynow", "Ursynow", "Mokotow", "Mokotow", "Ursynow", "Ursynow", "Ursynow", "Mokotow", "Mokotow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Targowek", "Targowek", "Targowek", "Southern Praga", "Targowek", "Targowek", "Southern Praga", "Targowek", "Targowek", "Targowek", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Downtown", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Mokotow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Mokotow", "Ursynow", "Wawer", "Wawer", "Wawer", "Wawer", "Southern Praga", "Southern Praga", "Wawer", "Wawer", "Wawer", "Southern Praga", "Wawer", "Wawer", "Southern Praga", "Wawer", "Wawer", "Southern Praga", "Southern Praga", "Wawer", "Wawer", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Wawer", "Wawer", "Southern Praga", "Southern Praga", "Wawer", "Wawer", "Wawer", "Southern Praga", "Wawer", "Wawer", "Wawer", "Southern Praga", "Southern Praga", "Wawer", "Wawer", "Wawer", "Wawer", "Southern Praga", "Wawer", "Southern Praga", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Southern Praga", "Southern Praga", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Ursynow", "Ursynow", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Ursynow", "Subburbs", "Subburbs", "Ursynow", "Subburbs", "Ursynow", "Ursynow", "Subburbs", "Subburbs", "Subburbs", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Mokotow", "Ursynow", "Ursynow", "Mokotow", "Mokotow", "Mokotow", "Ursynow", "Mokotow", "Mokotow", "Mokotow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Mokotow", "Ursynow", "Mokotow", "Mokotow", "Mokotow", "Ursynow", "Mokotow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Mokotow", "Mokotow", "Mokotow", "Ursynow", "Ursynow", "Mokotow", "Ursynow", "Mokotow", "Ursynow", "Mokotow", "Mokotow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Mokotow", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Wola", "Zoliborz", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Targowek", "Bialoleka", "Bialoleka", "Targowek", "Targowek", "Targowek", "Bialoleka", "Targowek", "Bialoleka", "Bialoleka", "Targowek", "Bialoleka", "Targowek", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Targowek", "Targowek", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Targowek", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Targowek", "Targowek", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Targowek", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Targowek", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Praga", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Praga", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Praga", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Praga", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Praga", "Praga", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Praga", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Praga", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Praga", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", 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"Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", 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"Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", 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"Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Wawer", "Southern Praga", "Southern Praga", "Wawer", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Targowek", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Bemowo", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Southern Praga", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Southern Praga", "Southern Praga", "Wawer", "Wawer", "Southern Praga", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Subburbs", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Subburbs", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Southern Praga", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Wawer", "Wawer", "Wawer", "Subburbs", "Subburbs", "Wawer", "Wawer", "Wawer", "Southern Praga", "Wawer", "Wawer", "Southern Praga", "Southern Praga", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Praga", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Other", "Subburbs", "Wlochy", "Other", "Wlochy", "Wlochy", "Other", "Other", "Other", "Other", "Other", "Other", "Subburbs", "Wlochy", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Zoliborz", "Bielany", "Bielany", "Zoliborz", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Zoliborz", "Zoliborz", "Bielany", "Zoliborz", "Zoliborz", "Zoliborz", "Bielany", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Bielany", "Zoliborz", "Zoliborz", "Zoliborz", "Bielany", "Zoliborz", "Zoliborz", "Bialoleka", "Bialoleka", "Targowek", "Targowek", "Bialoleka", "Targowek", "Bialoleka", "Targowek", "Bialoleka", "Bialoleka", "Targowek", "Bialoleka", "Targowek", "Targowek", "Bialoleka", "Targowek", "Targowek", "Bialoleka", "Targowek", "Bialoleka", "Targowek", "Targowek", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Targowek", "Targowek", "Targowek", "Targowek", "Bialoleka", "Targowek", "Bialoleka", "Targowek", "Targowek", "Targowek", "Bialoleka", "Targowek", "Bialoleka", "Targowek", "Targowek", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Wlochy", "Ochota", "Wlochy", "Ochota", "Wlochy", "Wlochy", "Ochota", "Wlochy", "Ochota", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Subburbs", "Subburbs", "Southern Praga", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Wlochy", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wola", "Ochota", "Ochota", "Wlochy", "Ochota", "Wlochy", "Ochota", "Ochota", "Wlochy", "Ochota", "Wlochy", "Wlochy", "Ochota", "Wlochy", "Wlochy", "Ochota", "Wlochy", "Ochota", "Ochota", "Ochota", "Wlochy", "Ochota", "Wlochy", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Subburbs", "Subburbs", "Subburbs", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Wilanow", "Ochota", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Ochota", "Ochota", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Ochota", "Wola", "Wola", "Wola", "Ochota", "Ochota", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Praga", "Targowek", "Targowek", "Praga", "Praga", "Praga", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Zoliborz", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Southern Praga", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Southern Praga", "Southern Praga", "Wawer", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Wawer", "Southern Praga", "Southern Praga", "Wawer", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Wawer", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Bielany", "Bielany", "Bielany", "Zoliborz", "Bielany", "Bielany", "Bielany", "Zoliborz", "Bielany", "Bielany", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Mokotow", "Southern Praga", "Southern Praga", "Wawer", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Wawer", "Southern Praga", "Southern Praga", "Southern Praga", "Wawer", "Wawer", "Wawer", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Wola", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Wawer", "Wawer", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Wawer", "Southern Praga", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Ochota", "Subburbs", "Subburbs", "Subburbs", "Bialoleka", "Subburbs", "Subburbs", "Subburbs", "Bialoleka", "Subburbs", "Subburbs", "Subburbs", "Bialoleka", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Subburbs", "Subburbs", "Subburbs", "Wawer", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Praga", "Southern Praga", "Praga", "Southern Praga", "Praga", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Praga", "Praga", "Praga", "Targowek", "Praga", "Targowek", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Wawer", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Ochota", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Ochota", "Wlochy", "Wlochy", "Ochota", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Bielany", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Southern Praga", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Wlochy", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Targowek", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Targowek", "Targowek", "Bialoleka", "Targowek", "Bialoleka", "Targowek", "Targowek", "Bialoleka", "Bialoleka", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Bemowo", "Ursynow", "Mokotow", "Mokotow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Ursynow", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Targowek", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Bialoleka", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", "Subburbs", 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\n", " \n", " \n", "
\n", " \n", "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "----------------------------------------------------------------------------------------------------------------------------\n", "\n", "\n", "\n" ] } ], "source": [ "for feature in unique_features:\n", " feature_list=[\"unit_price\"]\n", " feature_list.append(feature)\n", "\n", " df_temp=df[feature_list]\n", " \n", " print(\"\\n Unit price distribution in split by {}\".format(feature))\n", " \n", " fig = fig = px.box(df_temp, y=\"unit_price\", x=feature, points=\"suspectedoutliers\");\n", " fig.update_yaxes(range=[5000, 25000])\n", "\n", "\n", " print(\"----------------------------------------------------------------------------------------------------------------------------\\n\\n\\n\")\n", "\n", " " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Transforming data for ML models" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Change categorical data into OneHot vectors" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We need to transform categorical data into onehot columns before feeding it to ml models. As I will use the same data for DNNs I will also drop one column for each categorical feature to avoid collinearity. " ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "from sklearn.preprocessing import OneHotEncoder" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "#Extracting categorical features\n", "df_cat=df[unique_features]" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "OneHotEncoder(categories='auto', drop=None, dtype=,\n", " handle_unknown='error', sparse=True)" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "enc=OneHotEncoder()\n", "enc.fit(df_cat)\n", "\n", "one_hot_val=enc.fit_transform(df_cat).toarray().astype(int)\n", "one_hot_columns=enc.get_feature_names(unique_features)" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "df_one_hot=pd.DataFrame(one_hot_val, columns=one_hot_columns)" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['district_Bemowo', 'district_Bialoleka', 'district_Bielany',\n", " 'district_Downtown', 'district_Mokotow', 'district_Ochota',\n", " 'district_Other', 'district_Praga', 'district_Southern Praga',\n", " 'district_Subburbs', 'district_Targowek', 'district_Ursynow',\n", " 'district_Wawer', 'district_Wilanow', 'district_Wlochy',\n", " 'district_Wola', 'district_Zoliborz', 'market_primary',\n", " 'market_secondary', 'Building_material_breezeblock',\n", " 'Building_material_brick', 'Building_material_cellular_concrete',\n", " 'Building_material_concrete', 'Building_material_concrete_plate',\n", " 'Building_material_hydroton', 'Building_material_not_specified',\n", " 'Building_material_other', 'Building_material_reinforced_concrete',\n", " 'Building_material_silikat', 'Building_material_wood',\n", " 'Building_ownership_co_operative_ownership',\n", " 'Building_ownership_co_operative_ownership_with_a_land_and_mortgage_registe',\n", " 'Building_ownership_full_ownership', 'Building_ownership_not_specified',\n", " 'Building_ownership_share', 'Building_type_apartment',\n", " 'Building_type_block', 'Building_type_detached', 'Building_type_house',\n", " 'Building_type_infill', 'Building_type_loft',\n", " 'Building_type_not_specified', 'Building_type_ribbon',\n", " 'Building_type_tenement', 'Construction_status_not_specified',\n", " 'Construction_status_ready_to_use', 'Construction_status_to_completion',\n", " 'Construction_status_to_renovation', 'Heating_boiler_room',\n", " 'Heating_electrical', 'Heating_gas', 'Heating_not_specified',\n", " 'Heating_other', 'Heating_tiled_stove', 'Heating_urban',\n", " 'Windows_type_aluminium', 'Windows_type_not_specified',\n", " 'Windows_type_plastic', 'Windows_type_wooden'],\n", " dtype='object')" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_one_hot.columns" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "not_specified_idx=[]\n", "for i in range(0,df_one_hot.columns.shape[0]):\n", " if \"not_specified\" in df_one_hot.columns[i]:\n", " not_specified_idx.append(i)\n", "not_specified_idx=np.asarray(not_specified_idx)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's drop all \"not_specified\" columns and \"market_secondary\" and \"Mokotow\" district to aboid collinearity. " ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "drop_collinear_cols=list(df_one_hot.columns[not_specified_idx])\n", "drop_collinear_cols.append('district_Mokotow')\n", "drop_collinear_cols.append('market_secondary')" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "#Function substracting list2 elements from list1\n", "def list_diff(list1, list2):\n", " out = []\n", " for ele in list1:\n", " if not ele in list2:\n", " out.append(ele)\n", " return out" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['district_Bemowo', 'district_Bialoleka', 'district_Bielany',\n", " 'district_Downtown', 'district_Mokotow', 'district_Ochota',\n", " 'district_Other', 'district_Praga', 'district_Southern Praga',\n", " 'district_Subburbs', 'district_Targowek', 'district_Ursynow',\n", " 'district_Wawer', 'district_Wilanow', 'district_Wlochy',\n", " 'district_Wola', 'district_Zoliborz', 'market_primary',\n", " 'market_secondary', 'Building_material_breezeblock',\n", " 'Building_material_brick', 'Building_material_cellular_concrete',\n", " 'Building_material_concrete', 'Building_material_concrete_plate',\n", " 'Building_material_hydroton', 'Building_material_not_specified',\n", " 'Building_material_other', 'Building_material_reinforced_concrete',\n", " 'Building_material_silikat', 'Building_material_wood',\n", " 'Building_ownership_co_operative_ownership',\n", " 'Building_ownership_co_operative_ownership_with_a_land_and_mortgage_registe',\n", " 'Building_ownership_full_ownership', 'Building_ownership_not_specified',\n", " 'Building_ownership_share', 'Building_type_apartment',\n", " 'Building_type_block', 'Building_type_detached', 'Building_type_house',\n", " 'Building_type_infill', 'Building_type_loft',\n", " 'Building_type_not_specified', 'Building_type_ribbon',\n", " 'Building_type_tenement', 'Construction_status_not_specified',\n", " 'Construction_status_ready_to_use', 'Construction_status_to_completion',\n", " 'Construction_status_to_renovation', 'Heating_boiler_room',\n", " 'Heating_electrical', 'Heating_gas', 'Heating_not_specified',\n", " 'Heating_other', 'Heating_tiled_stove', 'Heating_urban',\n", " 'Windows_type_aluminium', 'Windows_type_not_specified',\n", " 'Windows_type_plastic', 'Windows_type_wooden'],\n", " dtype='object')" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_one_hot.columns" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "#Substracting collinear columns from categorical columns. Modyfing categorical data DataFrame\n", "df_cat_columns=list_diff(df_one_hot.columns,drop_collinear_cols)\n", "df_cat=df_one_hot[df_cat_columns]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Handling non categorical data" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [], "source": [ "columns_base=list_diff(df.columns, unique_features)" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "# Removing columns without any predictive value and columns not within initial dataset (added to datasource after initial iteration). \n", "\n", "drop_columns_base=[\n", " 'Price','latitude','longitude','lon_mod','lat_mod','grid_price','sample_size','City','subdistrict',\n", " 'offer_date',\"index\",\"geo_Id\",\"east_bank\", \"floor_no\"\n", " ]\n", "columns_base=list_diff(columns_base, drop_columns_base)" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['Id',\n", " 'Area',\n", " 'build_year',\n", " 'building_floors_num',\n", " 'rooms_num',\n", " 'Equipment_types_dishwasher',\n", " 'Equipment_types_fridge',\n", " 'Equipment_types_furniture',\n", " 'Equipment_types_oven',\n", " 'Equipment_types_stove',\n", " 'Equipment_types_tv',\n", " 'Equipment_types_washing_machine',\n", " 'Extras_types_air_conditioning',\n", " 'Extras_types_attic',\n", " 'Extras_types_balcony',\n", " 'Extras_types_basement',\n", " 'Extras_types_garage',\n", " 'Extras_types_garden',\n", " 'Extras_types_lift',\n", " 'Extras_types_separate_kitchen',\n", " 'Extras_types_terrace',\n", " 'Extras_types_two_storey',\n", " 'Extras_types_usable_room',\n", " 'Media_types_cable-television',\n", " 'Media_types_cable_television',\n", " 'Media_types_electricity',\n", " 'Media_types_internet',\n", " 'Media_types_phone',\n", " 'Media_types_sewage',\n", " 'Media_types_water',\n", " 'Security_types_alarm',\n", " 'Security_types_anti_burglary_door',\n", " 'Security_types_closed_area',\n", " 'Security_types_entryphone',\n", " 'Security_types_monitoring',\n", " 'Security_types_roller_shutters',\n", " 'floor_num',\n", " 'unit_price']" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Removing GoogleMaps and Restaurant data from initial data set as they were added after initial error analysis\n", "columns_google_maps=['distance_driving','distance_transit', 'time_driving', 'time_transit']\n", "columns_restaurants=[ 'restaurant_price_level', 'restaurant_mean_rating','restaurant_mean_popularity', 'restaurant_count',\"restaurant_ratings_count\"]\n", "\n", "columns_base=list_diff(columns_base, columns_google_maps)\n", "columns_base=list_diff(columns_base, columns_restaurants)\n", "columns_base" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Model based on property data only" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Selecting best features" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "# Combining base numerical data with categorical data\n", "df_num=df[columns_base]\n", "ml_data=pd.concat([df_num,df_cat],axis=1)" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['Id', 'Area', 'build_year', 'building_floors_num', 'rooms_num',\n", " 'Equipment_types_dishwasher', 'Equipment_types_fridge',\n", " 'Equipment_types_furniture', 'Equipment_types_oven',\n", " 'Equipment_types_stove', 'Equipment_types_tv',\n", " 'Equipment_types_washing_machine', 'Extras_types_air_conditioning',\n", " 'Extras_types_attic', 'Extras_types_balcony', 'Extras_types_basement',\n", " 'Extras_types_garage', 'Extras_types_garden', 'Extras_types_lift',\n", " 'Extras_types_separate_kitchen', 'Extras_types_terrace',\n", " 'Extras_types_two_storey', 'Extras_types_usable_room',\n", " 'Media_types_cable-television', 'Media_types_cable_television',\n", " 'Media_types_electricity', 'Media_types_internet', 'Media_types_phone',\n", " 'Media_types_sewage', 'Media_types_water', 'Security_types_alarm',\n", " 'Security_types_anti_burglary_door', 'Security_types_closed_area',\n", " 'Security_types_entryphone', 'Security_types_monitoring',\n", " 'Security_types_roller_shutters', 'floor_num', 'unit_price',\n", " 'district_Bemowo', 'district_Bialoleka', 'district_Bielany',\n", " 'district_Downtown', 'district_Ochota', 'district_Other',\n", " 'district_Praga', 'district_Southern Praga', 'district_Subburbs',\n", " 'district_Targowek', 'district_Ursynow', 'district_Wawer',\n", " 'district_Wilanow', 'district_Wlochy', 'district_Wola',\n", " 'district_Zoliborz', 'market_primary', 'Building_material_breezeblock',\n", " 'Building_material_brick', 'Building_material_cellular_concrete',\n", " 'Building_material_concrete', 'Building_material_concrete_plate',\n", " 'Building_material_hydroton', 'Building_material_other',\n", " 'Building_material_reinforced_concrete', 'Building_material_silikat',\n", " 'Building_material_wood', 'Building_ownership_co_operative_ownership',\n", " 'Building_ownership_co_operative_ownership_with_a_land_and_mortgage_registe',\n", " 'Building_ownership_full_ownership', 'Building_ownership_share',\n", " 'Building_type_apartment', 'Building_type_block',\n", " 'Building_type_detached', 'Building_type_house', 'Building_type_infill',\n", " 'Building_type_loft', 'Building_type_ribbon', 'Building_type_tenement',\n", " 'Construction_status_ready_to_use', 'Construction_status_to_completion',\n", " 'Construction_status_to_renovation', 'Heating_boiler_room',\n", " 'Heating_electrical', 'Heating_gas', 'Heating_other',\n", " 'Heating_tiled_stove', 'Heating_urban', 'Windows_type_aluminium',\n", " 'Windows_type_plastic', 'Windows_type_wooden'],\n", " dtype='object')" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ml_data.columns[:]" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [], "source": [ "# Splitting data into X and y, removing price outliers\n", "X=ml_data.copy()\n", "X=X.query(\"unit_price<=25000 and unit_price>5000\")\n", "y=X.unit_price\n", "X.drop(columns=[\"unit_price\",\"Id\"],inplace=True)" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [], "source": [ "from sklearn.feature_selection import SelectKBest, f_regression\n", "bestfeatures = SelectKBest(score_func=f_regression, k=\"all\")" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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FeatureScore
39district_Downtown7061.087788
37district_Bialoleka4019.670677
74Building_type_tenement1944.798855
52market_primary1795.763210
68Building_type_block1738.136823
44district_Subburbs1285.386747
67Building_type_apartment1260.089487
1build_year1248.918973
86Windows_type_wooden1072.417253
75Construction_status_ready_to_use764.632223
76Construction_status_to_completion631.575191
35floor_num582.200143
50district_Wola576.595866
2building_floors_num572.941746
13Extras_types_balcony570.238415
11Extras_types_air_conditioning536.278968
83Heating_urban438.529114
65Building_ownership_full_ownership402.054301
45district_Targowek323.404624
3rooms_num311.584572
\n", "
" ], "text/plain": [ " Feature Score\n", "39 district_Downtown 7061.087788\n", "37 district_Bialoleka 4019.670677\n", "74 Building_type_tenement 1944.798855\n", "52 market_primary 1795.763210\n", "68 Building_type_block 1738.136823\n", "44 district_Subburbs 1285.386747\n", "67 Building_type_apartment 1260.089487\n", "1 build_year 1248.918973\n", "86 Windows_type_wooden 1072.417253\n", "75 Construction_status_ready_to_use 764.632223\n", "76 Construction_status_to_completion 631.575191\n", "35 floor_num 582.200143\n", "50 district_Wola 576.595866\n", "2 building_floors_num 572.941746\n", "13 Extras_types_balcony 570.238415\n", "11 Extras_types_air_conditioning 536.278968\n", "83 Heating_urban 438.529114\n", "65 Building_ownership_full_ownership 402.054301\n", "45 district_Targowek 323.404624\n", "3 rooms_num 311.584572" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Selecting X features carrying most information about y\n", "fit = bestfeatures.fit(X,y)\n", "dfscores = pd.DataFrame(fit.scores_)\n", "dfcolumns = pd.DataFrame(X.columns)\n", "# Formatting scores into single DataFrame\n", "featureScores = pd.concat([dfcolumns,dfscores],axis=1)\n", "featureScores.columns = ['Feature','Score']\n", "featureScores.nlargest(50,'Score').head(20)" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(33, 2)" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Investigating how many features made it past 200 f_regression score threshold\n", "featureScores.query(\"Score>200\").shape" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['build_year', 'building_floors_num', 'rooms_num',\n", " 'Equipment_types_dishwasher', 'Equipment_types_fridge',\n", " 'Equipment_types_furniture', 'Equipment_types_tv',\n", " 'Equipment_types_washing_machine', 'Extras_types_air_conditioning',\n", " 'Extras_types_balcony', 'Extras_types_garden', 'Extras_types_lift',\n", " 'floor_num', 'district_Bemowo', 'district_Bialoleka',\n", " 'district_Downtown', 'district_Subburbs', 'district_Targowek',\n", " 'district_Wawer', 'district_Wola', 'district_Zoliborz',\n", " 'market_primary', 'Building_material_brick',\n", " 'Building_ownership_full_ownership', 'Building_type_apartment',\n", " 'Building_type_block', 'Building_type_tenement',\n", " 'Construction_status_ready_to_use',\n", " 'Construction_status_to_completion', 'Heating_urban',\n", " 'Windows_type_aluminium', 'Windows_type_plastic',\n", " 'Windows_type_wooden'], dtype=object)" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Creating list of selected top features\n", "top_features=featureScores.query(\"Score>200\").Feature.unique()\n", "top_features" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hoverlabel": { "namelength": 0 }, "hovertemplate": "Score=%{x}
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"gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "xaxis": { "anchor": "y", "domain": [ 0, 1 ], "title": { "text": "Score" } }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "title": { "text": "Feature" } } } }, "text/html": [ "
\n", " \n", " \n", "
\n", " \n", "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Visualizing selected features\n", "\n", "selected_features=featureScores.query(\"Score>200\")\n", "\n", "selected_features.sort_values(by=\"Score\",inplace=True,ascending=True)\n", "\n", "import plotly.express as px\n", "fig = px.bar(selected_features, y='Feature', x='Score',orientation='h')\n", "fig.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Spliting into train and test sets" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "X=X[top_features]\n", "\n", "random_state=15\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=random_state)\n" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [], "source": [ "# Extracting train and test idx for later merge with additional data or geography coordinates\n", "\n", "test_idx=np.asarray(X_test.index)\n", "train_idx=np.asarray(X_train.index)" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [], "source": [ "X_test_coors=df[[ \"unit_price\",'latitude', 'longitude',\"lat_mod\",\"lon_mod\"]].iloc[test_idx]\n", "X_test_coors.reset_index(inplace=True,drop=True)" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(4987, 33)" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X_test.shape" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [], "source": [ "y_train.reset_index(drop=True,inplace=True)\n", "y_test.reset_index(drop=True,inplace=True)\n", "\n", "X_train.reset_index(drop=True,inplace=True)\n", "X_test.reset_index(drop=True,inplace=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Training initial model" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [], "source": [ "from sklearn.ensemble import RandomForestRegressor" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [], "source": [ "# Selecting RF regressor with some regularization parameteres\n", "rf_model=RandomForestRegressor(bootstrap=True, ccp_alpha=0.0, criterion='mse',\n", " max_depth=25, max_features=15, max_leaf_nodes=None,\n", " max_samples=None, min_impurity_decrease=0.01,\n", " min_impurity_split=None, min_samples_leaf=5,\n", " \n", " n_estimators=500, n_jobs=2, oob_score=False,\n", " random_state=10, verbose=0, warm_start=False)\n", "\n" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "RandomForestRegressor(bootstrap=True, ccp_alpha=0.0, criterion='mse',\n", " max_depth=25, max_features=15, max_leaf_nodes=None,\n", " max_samples=None, min_impurity_decrease=0.01,\n", " min_impurity_split=None, min_samples_leaf=5,\n", " min_samples_split=2, min_weight_fraction_leaf=0.0,\n", " n_estimators=500, n_jobs=2, oob_score=False,\n", " random_state=10, verbose=0, warm_start=False)" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rf_model.fit(X_train,y_train)" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.7757492984608529" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Investigating Train set performance\n", "rf_model.score(X_train,y_train)" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.6655517982906214" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Investigating Test set performance\n", "rf_model.score(X_test,y_test)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We still seem to have some overfitting - this could probably be handdled with better hyperparameter tuning. As the overfitting is not too bad for a Random Forest model I will proceed with current setup. " ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", "plotlyServerURL": "https://plot.ly", "showLink": false }, "data": [ { "marker": { "color": "blue", "opacity": 0.5 }, "orientation": "h", "type": "bar", "width": 0.5, "x": [ 0.029598795428956163, 0.03198864698626297, 0.04393957453223497, 0.04564748016833763, 0.04732392628106544, 0.05257996571814933, 0.05944694490967636, 0.11602534767675082, 0.13312927863860724, 0.2367313275866487 ], "y": [ "Building_type_block", "market_primary", "floor_num", "Building_type_apartment", "district_Subburbs", "rooms_num", "building_floors_num", "build_year", "district_Bialoleka", "district_Downtown" ] } ], "layout": { "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Investigating model feature importance\n", "\n", "importance_df=pd.DataFrame(rf_model.feature_importances_,columns=[\"coefficients\"])\n", "importance_df[\"features\"]=X.columns\n", "importance_df.sort_values(by=\"coefficients\",inplace=True)\n", "\n", "trace0=go.Bar(\n", " x=importance_df.tail(10).coefficients,\n", " y=importance_df.tail(10).features,\n", " orientation=\"h\",\n", " width=0.5,\n", " marker=dict(\n", " color=\"blue\",\n", " \n", "\n", " opacity=0.5\n", " ),\n", " \n", " )\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "data=[trace0]\n", "figure=go.Figure(\n", " data=data,\n", " layout=go.Layout( \n", " title=\"Initial model - Feature importance\",\n", " xaxis=dict(title=\"Importance\"),\n", " yaxis=dict(title=\"Feature\")\n", "\n", " \n", " ))\n", "iplot(figure)" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [], "source": [ "# Function comparing key performance KPIs for any sklearn model\n", "\n", "def performance_summary(model, X_test, y_test ):\n", " \n", " y_hat=model.predict(X_test)\n", " \n", " df_summary=pd.DataFrame(y_hat, columns=[\"y_hat\"])\n", " df_summary[\"y_true\"]=y_test\n", " df_summary[\"abs_error\"]=np.abs(df_summary.y_true-df_summary.y_hat)\n", " df_summary[\"error\"]=df_summary.y_hat-df_summary.y_true\n", " df_summary[\"relative_error\"]= (df_summary[\"error\"]/df_summary.y_true)\n", " df_summary[\"relative_abs_error\"]= (df_summary[\"abs_error\"]/df_summary.y_true)\n", " \n", " print(\"Share of forecasts within 25% absolute error {:.3f}\\n\".format(df_summary.query(\"relative_abs_error<0.25\").shape[0]/df_summary.shape[0]))\n", " \n", " print(\"Share of forecasts within 10% absolute error {:.3f}\\n\".format(df_summary.query(\"relative_abs_error<0.10\").shape[0]/df_summary.shape[0]))\n", " \n", " print(\"Share of forecasts within 5% absolute error {:.3f}\\n\".format(df_summary.query(\"relative_abs_error<0.05\").shape[0]/df_summary.shape[0]))\n", " \n", " return(df_summary)\n", " " ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [], "source": [ "# Function combining test data with coordinates and creating aggregated grid data for error mapping\n", "\n", "def test_error_mapping(df_summary,X_test_coors):\n", " df_summary_dnn_coors=pd.concat([df_summary,X_test_coors], axis=1)\n", " df_summary_dnn_coors[[\"relative_error\",\"relative_abs_error\"]]=df_summary_dnn_coors[[\"relative_error\",\"relative_abs_error\"]]*100\n", " \n", " # lat_mod and lon_mod are coordinates rounded into grid, which allows us to create around 600 tiles in warsaw and analyse mean error in each\n", " df_map=df_summary_dnn_coors[[\"lat_mod\",\"lon_mod\",\"relative_error\",\"relative_abs_error\",\"abs_error\",\"error\",\"y_hat\",\"y_true\"]]\\\n", " .groupby([\"lat_mod\",\"lon_mod\"], as_index=False).mean()\n", " return(df_map)" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Share of forecasts within 25% absolute error 0.912\n", "\n", "Share of forecasts within 10% absolute error 0.634\n", "\n", "Share of forecasts within 5% absolute error 0.375\n", "\n" ] } ], "source": [ "df_summary=performance_summary(rf_model, X_test, y_test)" ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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y_haty_trueabs_errorerrorrelative_errorrelative_abs_error
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mean11159.68232911128.7663931177.86197630.9159360.0250940.102908
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" ], "text/plain": [ " y_hat y_true abs_error error relative_error \\\n", "count 4987.000000 4987.000000 4987.000000 4987.000000 4987.000000 \n", "mean 11159.682329 11128.766393 1177.861976 30.915936 0.025094 \n", "std 2403.227325 3094.201353 1346.995704 1789.155814 0.146392 \n", "min 5832.991302 5083.000000 0.277364 -12708.867441 -0.557246 \n", "25% 9495.179696 8951.000000 312.572331 -584.721788 -0.051806 \n", "50% 10932.310587 10577.000000 752.587469 135.429784 0.013567 \n", "75% 12502.698582 12546.000000 1536.980399 881.170739 0.088319 \n", "max 20986.553687 25000.000000 12708.867441 8824.520863 1.122775 \n", "\n", " relative_abs_error \n", "count 4987.000000 \n", "mean 0.102908 \n", "std 0.107090 \n", "min 0.000024 \n", "25% 0.030674 \n", "50% 0.071721 \n", "75% 0.136689 \n", "max 1.122775 " ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_summary.describe()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Error analysis" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Creating GeoHeatmap Class" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [], "source": [ "# Importing a map filter, which removes irrelevant areas from contourplot used for heatmap\n", "map_filter=pd.read_csv(r\"https://raw.githubusercontent.com/Jan-Majewski/Project_Portfolio/master/03_Real_Estate_pricing_in_Warsaw/map_filter.csv\",delimiter=\",\",header=None)\n" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [], "source": [ "def validate_json(json_dict, df_contour):\n", " \n", " '''\n", " As contour plots do not display correctly if even one of the contour layers is not populated with values and its geometry \n", " is empty this function removes such instances\n", " '''\n", " valid_idx=[]\n", " valid_features=[]\n", " \n", " for i in range(0,df_contour.shape[0]):\n", " if len(json_dict[\"features\"][i][\"geometry\"][\"coordinates\"])>2:\n", " valid_idx.append(i)\n", " valid_features.append(json_dict[\"features\"][i])\n", " \n", " json_dict[\"features\"]=valid_features\n", " df_contour=df_contour.iloc[valid_idx,:]\n", " \n", "\n", " \n", " return(json_dict,df_contour)\n", " " ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [], "source": [ "# Function to interpolate grid data into a finer 100x100 mesh used for heatmaps\n", "\n", "def create_grid_data(x,y,z,grid_size):\n", " \n", " xi = linspace(x.min(),x.max(),grid_size);\n", " yi = linspace(y.min(),y.max(),grid_size);\n", " zi = griddata((x, y), z, (xi[None,:], yi[:,None]), method=\"linear\")\n", " \n", " return(xi,yi,zi)" ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [], "source": [ "class GeoHeatmap:\n", " \n", " \n", " '''\n", " Class used to create geojson countour and corresponding data DataFramea, \n", " which is later used by plotly to create choropleth heatmap\n", " '''\n", " \n", " def __init__(self, x,y,z,zstep):\n", " xi,yi,zi=create_grid_data(x,y,z,100)\n", " # Filtering created grid with map_filter\n", " zi=zi*map_filter\n", " \n", "\n", "\n", " cs = plt.contourf(xi,yi,zi,range(-50,int(np.nanmax(zi)),zstep),cmap=plt.cm.jet)\n", "\n", "# cs = plt.contourf(xi,yi,zi,range(int(np.nanmin(zi)),int(np.nanmax(zi)),zstep),cmap=plt.cm.jet)\n", " plt.close()\n", "\n", "\n", "\n", "\n", "\n", " geojson = geojsoncontour.contourf_to_geojson(\n", " contourf=cs,\n", " ndigits=3,\n", "\n", " )\n", "\n", " json_dict=eval(geojson)\n", "\n", " arr_temp=np.ones([len(json_dict[\"features\"]),2])\n", "\n", " for i in range(0, len(json_dict[\"features\"])):\n", " json_dict[\"features\"][i][\"id\"]=i\n", "\n", "\n", " arr_temp[i,0]=i\n", " arr_temp[i,1]=float(json_dict[\"features\"][i][\"properties\"][\"title\"])\n", "\n", " df_contour=pd.DataFrame(arr_temp, columns=[\"Id\",\"value\"])\n", "\n", "\n", " self.json_dict, self.df_contour=validate_json(json_dict, df_contour)\n", " \n", " def plot(self, title, zmin, zmax):\n", " geojson=self.json_dict\n", " df=self.df_contour\n", " \n", " trace = go.Choroplethmapbox(\n", " geojson=geojson,\n", " locations=df.Id,\n", " z=df.value,\n", " colorscale=\"jet\",\n", " name=\"\",\n", " hovertemplate= \"Relative error:

%{z:,.0f}%

\",\n", " \n", " \n", " showscale=True,\n", " zauto=False,\n", " zmax=zmax,\n", " zmin=zmin,\n", "\n", "\n", " marker_line_width=0,\n", "\n", " marker=dict(opacity=0.5),\n", "\n", " )\n", " layout = go.Layout(\n", " title=title,\n", "\n", " legend=dict(\n", " orientation=\"h\"),\n", "\n", "\n", "\n", "\n", "\n", " height = 800,\n", " # top, bottom, left and right margins\n", " margin = dict(t = 80, b = 0, l = 0, r = 0),\n", " font = dict(color = 'dark grey', size = 18),\n", "\n", " mapbox = dict(\n", "\n", "\n", " center = dict(\n", " lat = center_coors[0],\n", " lon = center_coors[1]\n", " ),\n", " # default level of zoom\n", " zoom = 10.3,\n", " # default map style\n", " style = \"carto-positron\"\n", " )\n", "\n", " )\n", "\n", " data=[trace]\n", "\n", "\n", "\n", " figure=dict(\n", " data=data,\n", " layout=layout,\n", "\n", "\n", " )\n", "\n", "\n", " iplot(figure)\n", "\n", " " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Visualizing prediction error" ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [], "source": [ "# Creating a coors grid with average error used as map input\n", "df_map=test_error_mapping(df_summary,X_test_coors)" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [], "source": [ "# Initializing GeoHeatmap Class\n", "error_GeoHeatmap=GeoHeatmap(df_map.lon_mod,df_map.lat_mod, df_map.relative_error,5)" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", "plotlyServerURL": "https://plot.ly", "showLink": false }, "data": [ { "colorscale": [ [ 0, "rgb(0,0,131)" ], [ 0.2, "rgb(0,60,170)" ], [ 0.4, "rgb(5,255,255)" ], [ 0.6, "rgb(255,255,0)" ], [ 0.8, "rgb(250,0,0)" ], [ 1, "rgb(128,0,0)" ] ], "geojson": { "features": [ { "geometry": { "coordinates": [ [ [ [ 21.09, 52.173 ], [ 21.09, 52.173 ], [ 21.092, 52.176 ], [ 21.09, 52.178 ], [ 21.087, 52.178 ], [ 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"" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Initial model - Relative error heatmap [%]" } } }, "text/html": [ "
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plotting error\n", "error_GeoHeatmap.plot(\"Initial model - Relative error heatmap [%]\",-30,30)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Adding East Bank flag" ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [], "source": [ "# Adding east_bank feature to test and train set based on previously extracted idx\n", "X_train[\"east_bank\"]=df[\"east_bank\"].iloc[train_idx].values\n", "X_test[\"east_bank\"]=df[\"east_bank\"].iloc[test_idx].values" ] }, { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "RandomForestRegressor(bootstrap=True, ccp_alpha=0.0, criterion='mse',\n", " max_depth=25, max_features=15, max_leaf_nodes=None,\n", " max_samples=None, min_impurity_decrease=0.01,\n", " min_impurity_split=None, min_samples_leaf=5,\n", " min_samples_split=2, min_weight_fraction_leaf=0.0,\n", " n_estimators=500, n_jobs=2, oob_score=False,\n", " random_state=10, verbose=0, warm_start=False)" ] }, "execution_count": 62, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Training model on enriched datasource\n", "rf_model.fit(X_train,y_train)" ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.6708279238284628" ] }, "execution_count": 63, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Analyzing model performance\n", "rf_model.score(X_test,y_test)" ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Share of forecasts within 25% absolute error 0.916\n", "\n", "Share of forecasts within 10% absolute error 0.637\n", "\n", "Share of forecasts within 5% absolute error 0.385\n", "\n" ] } ], "source": [ "df_summary=performance_summary(rf_model, X_test, y_test)" ] }, { "cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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y_haty_trueabs_errorerrorrelative_errorrelative_abs_error
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mean11161.35351311128.7663931163.80317532.5871200.0248250.101492
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" ], "text/plain": [ " y_hat y_true abs_error error relative_error \\\n", "count 4987.000000 4987.000000 4987.000000 4987.000000 4987.000000 \n", "mean 11161.353513 11128.766393 1163.803175 32.587120 0.024825 \n", "std 2411.597380 3094.201353 1340.451781 1774.953048 0.144598 \n", "min 5845.777954 5083.000000 0.101406 -12736.130278 -0.535934 \n", "25% 9459.796185 8951.000000 310.949220 -558.505103 -0.050330 \n", "50% 10975.166644 10577.000000 750.628936 143.799449 0.013885 \n", "75% 12511.045358 12546.000000 1505.049911 882.976851 0.088799 \n", "max 20841.224622 25000.000000 12736.130278 8893.177414 1.185477 \n", "\n", " relative_abs_error \n", "count 4987.000000 \n", "mean 0.101492 \n", "std 0.105934 \n", "min 0.000014 \n", "25% 0.029884 \n", "50% 0.070732 \n", "75% 0.135543 \n", "max 1.185477 " ] }, "execution_count": 65, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_summary.describe()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## East Bank 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FeatureScore
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40time_transit11729.905071
39time_driving9771.050976
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36east_bank4161.069394
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79Building_type_tenement1944.798855
57market_primary1795.763210
73Building_type_block1738.136823
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" ], "text/plain": [ " Feature Score\n", "38 distance_transit 15110.951918\n", "37 distance_driving 14331.765525\n", "40 time_transit 11729.905071\n", "39 time_driving 9771.050976\n", "44 district_Downtown 7061.087788\n", "36 east_bank 4161.069394\n", "42 district_Bialoleka 4019.670677\n", "79 Building_type_tenement 1944.798855\n", "57 market_primary 1795.763210\n", "73 Building_type_block 1738.136823" ] }, "execution_count": 69, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Repeating feature selection with enriched data source\n", "df_num=df[columns_base+[\"east_bank\"]+columns_google_maps]\n", "ml_data=pd.concat([df_num,df_cat],axis=1)\n", "\n", "X=ml_data.copy()\n", "X=X.query(\"unit_price<=25000 and unit_price>5000\")\n", "y=X.unit_price\n", "X.drop(columns=[\"unit_price\",\"Id\"],inplace=True)\n", "\n", "fit = bestfeatures.fit(X,y)\n", "dfscores = pd.DataFrame(fit.scores_)\n", "dfcolumns = pd.DataFrame(X.columns)\n", "\n", "featureScores = pd.concat([dfcolumns,dfscores],axis=1)\n", "\n", "featureScores.columns = ['Feature','Score']\n", "featureScores.sort_values(by=\"Score\",inplace=True,ascending=True)\n", "featureScores.nlargest(10,'Score')" ] }, { "cell_type": "code", "execution_count": 70, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", "plotlyServerURL": "https://plot.ly", "showLink": false }, "data": [ { "marker": { "color": "blue", "opacity": 0.5 }, "orientation": "h", "type": "bar", "width": 0.5, "x": [ 1738.1368234449267, 1795.7632098382433, 1944.7988551766223, 4019.6706768589447, 4161.069393989563, 7061.08778784298, 9771.050975772749, 11729.905070873334, 14331.76552465004, 15110.951917821827 ], "y": [ "Building_type_block", "market_primary", "Building_type_tenement", "district_Bialoleka", "east_bank", "district_Downtown", "time_driving", "time_transit", "distance_driving", "distance_transit" ] } ], "layout": { "template": { "data": { 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"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "GoogleMaps data added - f_regression scores" }, "xaxis": { "title": { "text": "Importance" } }, "yaxis": { "title": { "text": "Score" } } } }, "text/html": [ "
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "\n", "trace0=go.Bar(\n", " x=featureScores.tail(10).Score,\n", " y=featureScores.tail(10).Feature, \n", " orientation=\"h\",\n", " width=0.5,\n", " marker=dict(\n", " color=\"blue\",\n", " \n", "\n", " opacity=0.5\n", " ),\n", " \n", " )\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "data=[trace0]\n", "figure=go.Figure(\n", " data=data,\n", " layout=go.Layout( \n", " title=\"GoogleMaps data added - f_regression scores\",\n", " xaxis=dict(title=\"Importance\"),\n", " yaxis=dict(title=\"Score\")\n", "\n", " \n", " ))\n", "iplot(figure)" ] }, { "cell_type": "code", "execution_count": 71, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(38, 2)" ] }, "execution_count": 71, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Analyzing features passing f_regression score threshold\n", "featureScores.query(\"Score>200\").shape\n", "top_features=featureScores.query(\"Score>200\").Feature.unique()" ] }, { "cell_type": "code", "execution_count": 72, "metadata": {}, "outputs": [], "source": [ "# Repeating process of splitting data - same random state ensures comparability\n", "\n", "X=X[top_features]\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=random_state)\n", "y_train.reset_index(drop=True,inplace=True)\n", "y_test.reset_index(drop=True,inplace=True)" ] }, { "cell_type": "code", "execution_count": 73, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "RandomForestRegressor(bootstrap=True, ccp_alpha=0.0, criterion='mse',\n", " max_depth=25, max_features=15, max_leaf_nodes=None,\n", " max_samples=None, min_impurity_decrease=0.01,\n", " min_impurity_split=None, min_samples_leaf=5,\n", " min_samples_split=2, min_weight_fraction_leaf=0.0,\n", " n_estimators=500, n_jobs=2, oob_score=False,\n", " random_state=10, verbose=0, warm_start=False)" ] }, "execution_count": 73, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": [ "0.7389784345233201" ] }, "execution_count": 73, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Training model on data source with googlemaps data\n", "rf_model.fit(X_train,y_train)\n", "rf_model.score(X_test,y_test)" ] }, { "cell_type": "code", "execution_count": 74, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Share of forecasts within 25% absolute error 0.937\n", "\n", "Share of forecasts within 10% absolute error 0.690\n", "\n", "Share of forecasts within 5% absolute error 0.439\n", "\n" ] } ], "source": [ "# Performance analysis\n", "df_summary=performance_summary(rf_model, X_test, y_test)" ] }, { "cell_type": "code", "execution_count": 75, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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y_haty_trueabs_errorerrorrelative_errorrelative_abs_error
count4987.0000004987.0000004987.0000004987.0000004987.0000004987.000000
mean11161.11236611128.7663931020.06467332.3459730.0211160.088994
std2517.7942933094.2013531207.6014441580.5047940.1291550.095945
min5738.9053815083.0000000.185510-12380.710792-0.5268390.000020
25%9326.0034618951.000000249.986888-479.112622-0.0426380.024725
50%10946.20219910577.000000638.83796996.9508290.0096050.061140
75%12547.36400512546.0000001327.224263755.1543850.0765400.119597
max21818.90642025000.00000012380.7107927263.2025101.2208201.220820
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" ], "text/plain": [ " y_hat y_true abs_error error relative_error \\\n", "count 4987.000000 4987.000000 4987.000000 4987.000000 4987.000000 \n", "mean 11161.112366 11128.766393 1020.064673 32.345973 0.021116 \n", "std 2517.794293 3094.201353 1207.601444 1580.504794 0.129155 \n", "min 5738.905381 5083.000000 0.185510 -12380.710792 -0.526839 \n", "25% 9326.003461 8951.000000 249.986888 -479.112622 -0.042638 \n", "50% 10946.202199 10577.000000 638.837969 96.950829 0.009605 \n", "75% 12547.364005 12546.000000 1327.224263 755.154385 0.076540 \n", "max 21818.906420 25000.000000 12380.710792 7263.202510 1.220820 \n", "\n", " relative_abs_error \n", "count 4987.000000 \n", "mean 0.088994 \n", "std 0.095945 \n", "min 0.000020 \n", "25% 0.024725 \n", "50% 0.061140 \n", "75% 0.119597 \n", "max 1.220820 " ] }, "execution_count": 75, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_summary.describe()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Feature importance - GoogleMaps takes the whole podium" ] }, { "cell_type": "code", "execution_count": 76, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", "plotlyServerURL": "https://plot.ly", "showLink": false }, "data": [ { "marker": { "color": "blue", "opacity": 0.5 }, "orientation": "h", "type": "bar", "width": 0.5, "x": [ 0.02983212699686431, 0.030798807894418915, 0.0314991124562927, 0.035997102369212663, 0.050930165947569626, 0.07450804959144068, 0.07660155599286013, 0.09399778458474957, 0.16659819493731964, 0.21432087491249036 ], "y": [ "building_floors_num", "east_bank", "district_Bialoleka", "rooms_num", "district_Downtown", "build_year", "time_driving", "time_transit", "distance_transit", "distance_driving" ] } ], "layout": { "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } }, "type": "bar" } ], 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df_map=test_error_mapping(df_summary,X_test_coors)\n", "error_GeoHeatmap=GeoHeatmap(df_map.lon_mod,df_map.lat_mod, df_map.relative_error,5)\n", "error_GeoHeatmap.plot(\"Google maps data added - Relative error heatmap [%]\",-30,30)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Adding Restaurant data to capture location popularity" ] }, { "cell_type": "code", "execution_count": 78, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['restaurant_price_level',\n", " 'restaurant_mean_rating',\n", " 'restaurant_mean_popularity',\n", " 'restaurant_count',\n", " 'restaurant_ratings_count']" ] }, "execution_count": 78, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Features added based on local restaurants (within 1km) data\n", "columns_restaurants" ] }, { "cell_type": "code", "execution_count": 79, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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SpecsScore
38distance_transit15110.951918
37distance_driving14331.765525
40time_transit11729.905071
39time_driving9771.050976
44restaurant_count8054.954714
43restaurant_mean_popularity7599.663197
49district_Downtown7061.087788
45restaurant_ratings_count5505.569986
41restaurant_price_level4783.021585
42restaurant_mean_rating4512.937869
36east_bank4161.069394
47district_Bialoleka4019.670677
84Building_type_tenement1944.798855
62market_primary1795.763210
78Building_type_block1738.136823
54district_Subburbs1285.386747
77Building_type_apartment1260.089487
1build_year1248.918973
96Windows_type_wooden1072.417253
85Construction_status_ready_to_use764.632223
\n", "
" ], "text/plain": [ " Specs Score\n", "38 distance_transit 15110.951918\n", "37 distance_driving 14331.765525\n", "40 time_transit 11729.905071\n", "39 time_driving 9771.050976\n", "44 restaurant_count 8054.954714\n", "43 restaurant_mean_popularity 7599.663197\n", "49 district_Downtown 7061.087788\n", "45 restaurant_ratings_count 5505.569986\n", "41 restaurant_price_level 4783.021585\n", "42 restaurant_mean_rating 4512.937869\n", "36 east_bank 4161.069394\n", "47 district_Bialoleka 4019.670677\n", "84 Building_type_tenement 1944.798855\n", "62 market_primary 1795.763210\n", "78 Building_type_block 1738.136823\n", "54 district_Subburbs 1285.386747\n", "77 Building_type_apartment 1260.089487\n", "1 build_year 1248.918973\n", "96 Windows_type_wooden 1072.417253\n", "85 Construction_status_ready_to_use 764.632223" ] }, "execution_count": 79, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Repeating feature selection process\n", "\n", "df_num=df[columns_base+[\"east_bank\"]+columns_google_maps+columns_restaurants]\n", "ml_data=pd.concat([df_num,df_cat],axis=1)\n", "\n", "X=ml_data.copy()\n", "X=X.query(\"unit_price<=25000 and unit_price>5000\")\n", "y=X.unit_price\n", "X.drop(columns=[\"unit_price\",\"Id\"],inplace=True)\n", "\n", "fit = bestfeatures.fit(X,y)\n", "dfscores = pd.DataFrame(fit.scores_)\n", "dfcolumns = pd.DataFrame(X.columns)\n", "\n", "featureScores = pd.concat([dfcolumns,dfscores],axis=1)\n", "featureScores.columns = ['Specs','Score']\n", "featureScores.nlargest(50,'Score').head(20)" ] }, { "cell_type": "code", "execution_count": 80, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(43, 2)" ] }, "execution_count": 80, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Investigating number of features passing importance threshold\n", "featureScores.query(\"Score>200\").shape\n", "top_features=featureScores.query(\"Score>200\").Specs.unique()" ] }, { "cell_type": "code", "execution_count": 81, "metadata": {}, "outputs": [], "source": [ "X=X[top_features]\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=random_state)\n", "y_train.reset_index(drop=True,inplace=True)\n", "y_test.reset_index(drop=True,inplace=True)" ] }, { "cell_type": "code", "execution_count": 82, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "RandomForestRegressor(bootstrap=True, ccp_alpha=0.0, criterion='mse',\n", " max_depth=25, max_features=15, max_leaf_nodes=None,\n", " max_samples=None, min_impurity_decrease=0.01,\n", " min_impurity_split=None, min_samples_leaf=5,\n", " min_samples_split=2, min_weight_fraction_leaf=0.0,\n", " n_estimators=500, n_jobs=2, oob_score=False,\n", " random_state=10, verbose=0, warm_start=False)" ] }, "execution_count": 82, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": [ "0.7423337887710196" ] }, "execution_count": 82, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Training and scoring the model\n", "rf_model.fit(X_train,y_train)\n", "rf_model.score(X_test,y_test)" ] }, { "cell_type": "code", "execution_count": 83, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Share of forecasts within 25% absolute error 0.939\n", "\n", "Share of forecasts within 10% absolute error 0.693\n", "\n", "Share of forecasts within 5% absolute error 0.446\n", "\n" ] } ], "source": [ "# Model performance analysis\n", "df_summary=performance_summary(rf_model, X_test, y_test)" ] }, { "cell_type": "code", "execution_count": 84, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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y_haty_trueabs_errorerrorrelative_errorrelative_abs_error
count4987.0000004987.0000004987.0000004987.0000004987.0000004987.000000
mean11157.50569811128.7663931011.65907328.7393050.0206550.088274
std2520.7184853094.2013531201.3567721570.3793570.1284610.095578
min5753.6840675083.0000000.328317-12689.720184-0.5399880.000033
25%9303.5001958951.000000253.678220-471.524392-0.0429630.024451
50%10954.16783710577.000000616.50069289.5661200.0091310.059925
75%12509.78349712546.0000001333.592176747.9523630.0753580.119922
max21777.65221525000.00000012689.7201847792.4309031.2308541.230854
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" ], "text/plain": [ " y_hat y_true abs_error error relative_error \\\n", "count 4987.000000 4987.000000 4987.000000 4987.000000 4987.000000 \n", "mean 11157.505698 11128.766393 1011.659073 28.739305 0.020655 \n", "std 2520.718485 3094.201353 1201.356772 1570.379357 0.128461 \n", "min 5753.684067 5083.000000 0.328317 -12689.720184 -0.539988 \n", "25% 9303.500195 8951.000000 253.678220 -471.524392 -0.042963 \n", "50% 10954.167837 10577.000000 616.500692 89.566120 0.009131 \n", "75% 12509.783497 12546.000000 1333.592176 747.952363 0.075358 \n", "max 21777.652215 25000.000000 12689.720184 7792.430903 1.230854 \n", "\n", " relative_abs_error \n", "count 4987.000000 \n", "mean 0.088274 \n", "std 0.095578 \n", "min 0.000033 \n", "25% 0.024451 \n", "50% 0.059925 \n", "75% 0.119922 \n", "max 1.230854 " ] }, "execution_count": 84, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_summary.describe()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Feature importance - 3 Restautant features make it to top 10" ] }, { "cell_type": "code", "execution_count": 85, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", "plotlyServerURL": "https://plot.ly", "showLink": false }, "data": [ { "marker": { "color": "blue", "opacity": 0.5 }, "orientation": "h", "type": "bar", "width": 0.5, "x": [ 0.03341807393593613, 0.03457396772237147, 0.0376473830340869, 0.04299829533927255, 0.045496797582016836, 0.06390529791697418, 0.06479048224040763, 0.06695878033709403, 0.15153069021000207, 0.16542680168309298 ], "y": [ "rooms_num", "restaurant_mean_rating", "restaurant_count", "district_Downtown", "restaurant_ratings_count", "build_year", "time_driving", "time_transit", "distance_transit", "distance_driving" ] } ], "layout": { "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 } }, 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\n", " \n", "
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"" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Restaurant data added - Relative error heatmap [%]" } } }, "text/html": [ "
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df_map=test_error_mapping(df_summary,X_test_coors)\n", "error_GeoHeatmap=GeoHeatmap(df_map.lon_mod,df_map.lat_mod, df_map.relative_error,5)\n", "error_GeoHeatmap.plot(\"Restaurant data added - Relative error heatmap [%]\",-30,30)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "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": "3.7.3" }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": { "height": "calc(100% - 180px)", "left": "10px", "top": "150px", "width": "528px" }, "toc_section_display": true, "toc_window_display": true } }, "nbformat": 4, "nbformat_minor": 2 }