store_locations.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Store locations\n",
    "*__Finding the optimal location for a low-cost supermarket in Madrid__*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Table of Contents\n",
    "\n",
    "* [Introduction](#introduction)\n",
    "    * [Background](#background)\n",
    "    * [Business problem](#business-problem)\n",
    "* [Data](#data)\n",
    "    * [Wikipedia](#wikipedia)\n",
    "    * [Geospatial data](#geospatial-data)\n",
    "    * [Census data](#census-data)\n",
    "* [Methodology](#methodology)\n",
    "    * [Data acquisition](#data-acquisition)\n",
    "        * [Scrapping Wikipedia](#scrapping-wikipedia)\n",
    "        * [Requesting Foursquare API for geospatial data](#requesting-foursquare)\n",
    "        * [Loading census data file](#loading-census)\n",
    "    * [Neighbourhood segmentation](#neighbourhood-segmentation)\n",
    "    * [Census analysis](#census-analysis)\n",
    "* [Results and discussion](#results-and-discussion)\n",
    "* [Conclusion](#conclusion)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction <a class=\"anchor\" id=\"introduction\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Background <a class=\"anchor\" id=\"background\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Opening a physical store is not without risks. One the most obvious risks to evaluate before opening a new store is receiving enough customers to make the business profitable. Therefore it is essential to pick the right location to make sure it is convenient for the customers and there is enough demand for a new store in the area.\n",
    "\n",
    "Identifying the target customers is also key taking into account the behaviour of the different groups of consumers and the stores they usually buy at."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Business problem <a class=\"anchor\" id=\"business-problem\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this project, we tackle the problem of a low-cost supermarket chain trying to decide in which area of Madrid (Spain) they should open their new store in order to maximise the revenue. It is important to note that the city of Madrid consists of 21 districts and 131 neighbourhoods with great differences between them. \n",
    "\n",
    "The goal is to identify the optimal neighbourhood for opening a store taking different factors into consideration such as the types of neighbourhood (a residential area would be ideal), the amount of people living in those areas (the higher the population the higher the food demand), their average income (working class people are preferred) and the stores that are already available (avoiding areas with a big density of supermarkets).\n",
    "\n",
    "Using data science, geospatial analysis and machine learning techniques, this project aims to provide a solution for this problem and recommending the best neighbourhood for opening the low-cost supermarket."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data <a class=\"anchor\" id=\"data\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following sections describe the data that is needed for answering this business question."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Wikipedia <a class=\"anchor\" id=\"wikipedia\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The first data that we need is the list of neighbourhoods in Madrid. Even though this information could have been directly obtained from a CSV file from Madrid city council, it has been decided to use web scraping on Wikipedia for learning purposes.\n",
    "\n",
    "The Wikipedia page “List of neighbourhoods of Madrid” shows a table with the name of each neighbourhood for each of the 21 districts. In our project, we will work directly with the neighbourhoods and ignore the districts since this way we can perform a more granular analysis of the areas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p align=\"center\">\n",
    "  <img width=\"500\" height=\"500\" src=\"img/wikipedia_madrid.png\">\n",
    "</p>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p style=\"text-align: center;\">\n",
    "    Source: \n",
    "    <a href=\"https://en.wikipedia.org/wiki/List_of_neighborhoods_of_Madrid\">https://en.wikipedia.org/wiki/List_of_neighborhoods_of_Madrid</a>\n",
    "</p>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Geospatial data <a class=\"anchor\" id=\"geospatial-data\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since the plan is to target residential areas, we need to analyse the type of food venues present in each neighbourhood. With the Foursquare API we can explore the different food venues, considering that a big density of bars and restaurants over very few supermarkets will most likely refer to a business or recreational area where people don’t usually buy at supermarkets. In the other hand, a large proportion of supermarkets over the rest of food venues might indicate it is a residential area where people normally make their food shopping.\n",
    "\n",
    "Before we can make use of the Foursquare API we need to convert the neighbourhood names into a pair of latitude and longitude coordinates. We can acquire this with the _geocoder_ Python library.\n",
    "We can query the Foursquare API using the HTTP GET method on the explore endpoint indicating the geographical coordinates, venue categories and radius."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p align=\"center\">\n",
    "  <img width=\"500\" height=\"500\" src=\"img/foursquare_api.png\">\n",
    "</p>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p style=\"text-align: center;\">\n",
    "    Source: \n",
    "    <a href=\"https://developer.foursquare.com/docs/api-reference/venues/explore/\">https://developer.foursquare.com/docs/api-reference/venues/explore/</a>\n",
    "</p>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Census data <a class=\"anchor\" id=\"census-data\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally we will need data from the census of Madrid. We can obtained this data from Excel files that are accessible from the Madrid city council website. Particularly we are interested in the population and the average income of each neighbourhood."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p align=\"center\">\n",
    "  <img width=\"500\" height=\"500\" src=\"img/census_population.png\">\n",
    "</p>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p style=\"text-align: center;\">\n",
    "    Source: \n",
    "    <a href=\"http://www-2.munimadrid.es/TSE6/control/seleccionDatosBarrio\">http://www-2.munimadrid.es/TSE6/control/seleccionDatosBarrio</a>\n",
    "</p>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p align=\"center\">\n",
    "  <img width=\"500\" height=\"500\" src=\"img/census_income.png\">\n",
    "</p>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p style=\"text-align: center;\">\n",
    "    Source: \n",
    "    <a href=\"https://datos.madrid.es/portal/site/egob/menuitem.c05c1f754a33a9fbe4b2e4b284f1a5a0/?vgnextoid=d029ed1e80d38610VgnVCM2000001f4a900aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD&vgnextfmt=default\">https://datos.madrid.es/portal/site/egob</a>\n",
    "</p>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Methodology <a class=\"anchor\" id=\"methodology\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following sections describe the different stages of this project, starting with the acquisition of the data (venues and census), following with the clustering of the neighbourhoods and finishing with an analysis of the census for the corresponding group of neighbourhoods."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Libraries import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 992,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for HTTP requests\n",
    "import requests  \n",
    "\n",
    "# for HTML scrapping \n",
    "from bs4 import BeautifulSoup \n",
    "\n",
    "# for table analysis\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# for finding geographical coordinates\n",
    "import geocoder\n",
    "\n",
    "# for converting an address into latitude and longitude values\n",
    "from geopy.geocoders import Nominatim\n",
    "\n",
    "# for rending maps\n",
    "import folium\n",
    "\n",
    "# for removing Spanish accents from map labels in Folium (encoding incompatibility)\n",
    "import unicodedata\n",
    "\n",
    "# for clustering neighbourhoods\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "# for drawing the elbow method and scatterplot\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# for displaying map of clusters\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "\n",
    "# for displaying the scatterplot of household income vs people per market\n",
    "import seaborn as sns\n",
    "\n",
    "# for arranging labels around the scatterplot to avoid overlapping neighbourhood names\n",
    "from adjustText import adjust_text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data acquisition <a class=\"anchor\" id=\"data-acquisition\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following sub-sections describe the methodology to obtain the different datasets, either by loading an external file or by scrapping a website."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Scrapping Wikipedia <a class=\"anchor\" id=\"scrapping-wikipedia\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__URL for Wikipedia article__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 933,
   "metadata": {},
   "outputs": [],
   "source": [
    "# URL of wikipedia page from which to scrap tabular data.\n",
    "wiki_url = \"https://en.wikipedia.org/wiki/List_of_neighborhoods_of_Madrid\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Request & Response__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 934,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 934,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# If the request was successful, reponse should be '200'.\n",
    "response = requests.get(wiki_url) #.json()\n",
    "response"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Wrangling HTML With BeautifulSoup__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 935,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Parse response content to html\n",
    "soup = BeautifulSoup(response.content, 'html.parser')\n",
    "#soup"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Viewing HTML content__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 936,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Page title: List of neighborhoods of Madrid - Wikipedia\n",
      "Column names: ['District name (number)', 'District location', 'Number', 'Name', 'Image']\n"
     ]
    }
   ],
   "source": [
    "# Title of Wikipedia page\n",
    "title = soup.title.string\n",
    "print(f'Page title: {title}') \n",
    "\n",
    "# Find the right table to scrap\n",
    "wiki_table=soup.find('table', {\"class\":'wikitable sortable'})\n",
    "\n",
    "# Get the 1st row of the table i.e. the header\n",
    "row0 = wiki_table.findAll(\"tr\")[0]\n",
    "\n",
    "# Show the column names (we're only interested in \"Name\" i.e. the 4th column)\n",
    "header = [th.text.rstrip() for th in row0.find_all('th')]\n",
    "print(f'Column names: {header}') "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Scraping the table contents__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 937,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of neighbourhoods: 131\n"
     ]
    }
   ],
   "source": [
    "# Placeholder for list of neighbourhoods\n",
    "madrid_neighbourhoods = []\n",
    "\n",
    "# Iterate through the rows of the table\n",
    "# Note: each district has sub-rows of neighbourhoods\n",
    "for row in wiki_table.findAll(\"tr\"):    \n",
    "    cells = row.findAll('td')\n",
    "\n",
    "    # Parse 1st neighbourhood of the district\n",
    "    if len(cells)==5:\n",
    "        madrid_neighbourhoods.append(cells[3].find(text=True).replace('\\n', '').rstrip().lstrip().upper())\n",
    "    \n",
    "    # Parse sub-rows (rest of neighbourhoods of the district)\n",
    "    elif len(cells)==3:\n",
    "        madrid_neighbourhoods.append(cells[1].find(text=True).replace('\\n', '').rstrip().lstrip().upper())\n",
    "    \n",
    "print(f'Number of neighbourhoods: {len(madrid_neighbourhoods)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Creating a dataframe__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 938,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape: (131, 1)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PALACIO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>EMBAJADORES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CORTES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>JUSTICIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>UNIVERSIDAD</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighbourhood\n",
       "0       PALACIO\n",
       "1   EMBAJADORES\n",
       "2        CORTES\n",
       "3      JUSTICIA\n",
       "4   UNIVERSIDAD"
      ]
     },
     "execution_count": 938,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_madrid = pd.DataFrame(madrid_neighbourhoods, columns=['Neighbourhood'])\n",
    "print(f'Shape: {df_madrid.shape}')\n",
    "df_madrid.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Getting geographical coordinates for the neighbourhoods__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 940,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Geocoder fails to locate some of the neighbourhoods correctly and therefore it is necessary\n",
    "# to request the coordinates using a different name for these particular areas.\n",
    "def rename(neighbourhood):\n",
    "    new_name = neighbourhood\n",
    "    if new_name == 'CASCO HISTÓRICO DE VICÁLVARO':\n",
    "        new_name = 'VICÁLVARO'\n",
    "    elif new_name == 'QUINTANA':\n",
    "        new_name = 'PARQUE DE CALERO'\n",
    "    elif new_name == 'BUTARQUE':\n",
    "        new_name = 'VILLAVERDE BAJO'\n",
    "    return new_name\n",
    "\n",
    "# Function that retrieves the geographical coordinates for a given neighborhood\n",
    "def get_coordinates(row):\n",
    "    # initialize variable to None\n",
    "    lat_lng_coords = None\n",
    "\n",
    "    # loop until we get the coordinates\n",
    "    while(lat_lng_coords is None):\n",
    "      g = geocoder.arcgis(f'{rename(row[\"Neighbourhood\"])}, Madrid')\n",
    "      lat_lng_coords = g.latlng\n",
    "    \n",
    "    # return pair lat,long\n",
    "    return pd.Series([lat_lng_coords[0], lat_lng_coords[1]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 941,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PALACIO</td>\n",
       "      <td>40.41517</td>\n",
       "      <td>-3.71273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>EMBAJADORES</td>\n",
       "      <td>40.40803</td>\n",
       "      <td>-3.70067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CORTES</td>\n",
       "      <td>40.41589</td>\n",
       "      <td>-3.69636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>JUSTICIA</td>\n",
       "      <td>40.42479</td>\n",
       "      <td>-3.69308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>UNIVERSIDAD</td>\n",
       "      <td>40.42565</td>\n",
       "      <td>-3.70726</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighbourhood  Latitude  Longitude\n",
       "0       PALACIO  40.41517   -3.71273\n",
       "1   EMBAJADORES  40.40803   -3.70067\n",
       "2        CORTES  40.41589   -3.69636\n",
       "3      JUSTICIA  40.42479   -3.69308\n",
       "4   UNIVERSIDAD  40.42565   -3.70726"
      ]
     },
     "execution_count": 941,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Fill coordinates for each row\n",
    "df_madrid[['Latitude','Longitude']] = df_madrid.apply(get_coordinates, axis=1)\n",
    "df_madrid.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 942,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Neighbourhood    0\n",
       "Latitude         0\n",
       "Longitude        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 942,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Make sure we found the coordinates for all the neighbourhoods\n",
    "df_madrid.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Visualizing the neighbourhoods of Madrid__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 943,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinates of Madrid are 40.4167047, -3.7035825\n"
     ]
    }
   ],
   "source": [
    "address = 'Madrid, Spain'\n",
    "geolocator = Nominatim(user_agent=\"madrid_explorer\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print(f'The geograpical coordinates of Madrid are {latitude}, {longitude}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 944,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Spanish accents are not correctly rendered in the map labels so we decided\n",
    "# to remove them for a better understanding of the map\n",
    "def remove_accents(input_str):\n",
    "    nfkd_form = unicodedata.normalize('NFKD', input_str)\n",
    "    only_ascii = nfkd_form.encode('ASCII', 'ignore')\n",
    "    return only_ascii.decode(\"utf-8\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 945,
   "metadata": {},
   "outputs": [
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x13edb7a90>"
      ]
     },
     "execution_count": 945,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map of Madrid using latitude and longitude values\n",
    "map_madrid = folium.Map(location=[latitude, longitude], zoom_start=11)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, label in zip(df_madrid['Latitude'], df_madrid['Longitude'], df_madrid['Neighbourhood']):\n",
    "    label = folium.Popup(remove_accents(label), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(map_madrid)  \n",
    "    \n",
    "map_madrid"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Requesting Foursquare API for geospatial data <a class=\"anchor\" id=\"requesting-foursquare\"></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 946,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Credentails:\n",
      "CLIENT_ID: BHJXSXUIL3QMVG5D40DTXTROBNKAMXXYNZSISUHVXAL3HXZO\n",
      "CLIENT_SECRET:FRLBLH40G0T4OWROEXCQU3MY35OZAIE3HXJ5J1X02RXNMTWP\n",
      "ACCESS_TOKEN:N1LDGNZGUPHICQM1Y5LRR5RMQGULD1MLDZQIISPLTI0CL4I0\n"
     ]
    }
   ],
   "source": [
    "CLIENT_ID = '' # Foursquare ID\n",
    "CLIENT_SECRET = '' # Foursquare Secret\n",
    "ACCESS_TOKEN = '' # FourSquare Access Token\n",
    "VERSION = '20180605' # Foursquare API version\n",
    "LIMIT = 100 # A default Foursquare API limit value\n",
    "\n",
    "print('Credentails:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)\n",
    "print('ACCESS_TOKEN:' + ACCESS_TOKEN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 948,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to find venues in a given neighbourhood\n",
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/search?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng,\n",
    "            radius, \n",
    "            LIMIT)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['venues']\n",
    "\n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['name'], \n",
    "            v['location']['lat'], \n",
    "            v['location']['lng'],  \n",
    "            v['categories'][0]['name']) for v in results if v['categories']])\n",
    "\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighbourhood', \n",
    "                  'Neighbourhood Latitude', \n",
    "                  'Neighbourhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Run the above function to each neighbourhood__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 949,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(11880, 7)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Neighbourhood Latitude</th>\n",
       "      <th>Neighbourhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PALACIO</td>\n",
       "      <td>40.41517</td>\n",
       "      <td>-3.71273</td>\n",
       "      <td>Cervecería La Mayor</td>\n",
       "      <td>40.415218</td>\n",
       "      <td>-3.712194</td>\n",
       "      <td>Beer Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PALACIO</td>\n",
       "      <td>40.41517</td>\n",
       "      <td>-3.71273</td>\n",
       "      <td>Instituto Italiano de Cultura</td>\n",
       "      <td>40.415197</td>\n",
       "      <td>-3.712883</td>\n",
       "      <td>General College &amp; University</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PALACIO</td>\n",
       "      <td>40.41517</td>\n",
       "      <td>-3.71273</td>\n",
       "      <td>Santa Iglesia Catedral de Santa María la Real ...</td>\n",
       "      <td>40.415767</td>\n",
       "      <td>-3.714516</td>\n",
       "      <td>Church</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PALACIO</td>\n",
       "      <td>40.41517</td>\n",
       "      <td>-3.71273</td>\n",
       "      <td>Consejo De Estado</td>\n",
       "      <td>40.415129</td>\n",
       "      <td>-3.713384</td>\n",
       "      <td>Government Building</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PALACIO</td>\n",
       "      <td>40.41517</td>\n",
       "      <td>-3.71273</td>\n",
       "      <td>Iglesia Catedral de las Fuerzas Armadas</td>\n",
       "      <td>40.415114</td>\n",
       "      <td>-3.712331</td>\n",
       "      <td>Church</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighbourhood  Neighbourhood Latitude  Neighbourhood Longitude  \\\n",
       "0       PALACIO                40.41517                 -3.71273   \n",
       "1       PALACIO                40.41517                 -3.71273   \n",
       "2       PALACIO                40.41517                 -3.71273   \n",
       "3       PALACIO                40.41517                 -3.71273   \n",
       "4       PALACIO                40.41517                 -3.71273   \n",
       "\n",
       "                                               Venue  Venue Latitude  \\\n",
       "0                                Cervecería La Mayor       40.415218   \n",
       "1                      Instituto Italiano de Cultura       40.415197   \n",
       "2  Santa Iglesia Catedral de Santa María la Real ...       40.415767   \n",
       "3                                  Consejo De Estado       40.415129   \n",
       "4            Iglesia Catedral de las Fuerzas Armadas       40.415114   \n",
       "\n",
       "   Venue Longitude                Venue Category  \n",
       "0        -3.712194                      Beer Bar  \n",
       "1        -3.712883  General College & University  \n",
       "2        -3.714516                        Church  \n",
       "3        -3.713384           Government Building  \n",
       "4        -3.712331                        Church  "
      ]
     },
     "execution_count": 949,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Search for venues within 1Km of radius from the neighbourhood centre point\n",
    "radius = 1000\n",
    "\n",
    "madrid_venues = getNearbyVenues(names=df_madrid['Neighbourhood'],\n",
    "                                   latitudes=df_madrid['Latitude'],\n",
    "                                   longitudes=df_madrid['Longitude'],\n",
    "                                   radius=radius)\n",
    "\n",
    "print(madrid_venues.shape)\n",
    "madrid_venues.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Analysing each neighbourhood__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 950,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Size: (11880, 502)\n"
     ]
    },
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Accessories Store</th>\n",
       "      <th>Acupuncturist</th>\n",
       "      <th>Adult Boutique</th>\n",
       "      <th>Adult Education Center</th>\n",
       "      <th>Advertising Agency</th>\n",
       "      <th>African Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Gate</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>...</th>\n",
       "      <th>Well</th>\n",
       "      <th>Whisky Bar</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th>Winery</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Zoo</th>\n",
       "      <th>Zoo Exhibit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PALACIO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PALACIO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PALACIO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PALACIO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PALACIO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 502 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighbourhood  Accessories Store  Acupuncturist  Adult Boutique  \\\n",
       "0       PALACIO                  0              0               0   \n",
       "1       PALACIO                  0              0               0   \n",
       "2       PALACIO                  0              0               0   \n",
       "3       PALACIO                  0              0               0   \n",
       "4       PALACIO                  0              0               0   \n",
       "\n",
       "   Adult Education Center  Advertising Agency  African Restaurant  Airport  \\\n",
       "0                       0                   0                   0        0   \n",
       "1                       0                   0                   0        0   \n",
       "2                       0                   0                   0        0   \n",
       "3                       0                   0                   0        0   \n",
       "4                       0                   0                   0        0   \n",
       "\n",
       "   Airport Gate  Airport Lounge  ...  Well  Whisky Bar  Wine Bar  Wine Shop  \\\n",
       "0             0               0  ...     0           0         0          0   \n",
       "1             0               0  ...     0           0         0          0   \n",
       "2             0               0  ...     0           0         0          0   \n",
       "3             0               0  ...     0           0         0          0   \n",
       "4             0               0  ...     0           0         0          0   \n",
       "\n",
       "   Winery  Wings Joint  Women's Store  Yoga Studio  Zoo  Zoo Exhibit  \n",
       "0       0            0              0            0    0            0  \n",
       "1       0            0              0            0    0            0  \n",
       "2       0            0              0            0    0            0  \n",
       "3       0            0              0            0    0            0  \n",
       "4       0            0              0            0    0            0  \n",
       "\n",
       "[5 rows x 502 columns]"
      ]
     },
     "execution_count": 950,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# one hot encoding\n",
    "madrid_onehot = pd.get_dummies(madrid_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "# add neighbourhood column back to dataframe\n",
    "madrid_onehot['Neighbourhood'] = madrid_venues['Neighbourhood'] \n",
    "\n",
    "# move neighbourhood column to the first column\n",
    "fixed_columns = [madrid_onehot.columns[-1]] + list(madrid_onehot.columns[:-1])\n",
    "madrid_onehot = madrid_onehot[fixed_columns]\n",
    "\n",
    "print(f'Size: {madrid_onehot.shape}')\n",
    "madrid_onehot.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Grouping rows by neighbourhood and finding frequency of each category__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 951,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Size: (131, 502)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Accessories Store</th>\n",
       "      <th>Acupuncturist</th>\n",
       "      <th>Adult Boutique</th>\n",
       "      <th>Adult Education Center</th>\n",
       "      <th>Advertising Agency</th>\n",
       "      <th>African Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Gate</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>...</th>\n",
       "      <th>Well</th>\n",
       "      <th>Whisky Bar</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th>Winery</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Zoo</th>\n",
       "      <th>Zoo Exhibit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ABRANTES</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ACACIAS</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ADELFAS</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AEROPUERTO</td>\n",
       "      <td>0.032787</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.016393</td>\n",
       "      <td>0.540984</td>\n",
       "      <td>0.016393</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ALAMEDA DE OSUNA</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 502 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Neighbourhood  Accessories Store  Acupuncturist  Adult Boutique  \\\n",
       "0          ABRANTES           0.000000            0.0             0.0   \n",
       "1           ACACIAS           0.000000            0.0             0.0   \n",
       "2           ADELFAS           0.000000            0.0             0.0   \n",
       "3        AEROPUERTO           0.032787            0.0             0.0   \n",
       "4  ALAMEDA DE OSUNA           0.000000            0.0             0.0   \n",
       "\n",
       "   Adult Education Center  Advertising Agency  African Restaurant   Airport  \\\n",
       "0                     0.0                 0.0                 0.0  0.000000   \n",
       "1                     0.0                 0.0                 0.0  0.000000   \n",
       "2                     0.0                 0.0                 0.0  0.000000   \n",
       "3                     0.0                 0.0                 0.0  0.016393   \n",
       "4                     0.0                 0.0                 0.0  0.000000   \n",
       "\n",
       "   Airport Gate  Airport Lounge  ...  Well  Whisky Bar  Wine Bar  Wine Shop  \\\n",
       "0      0.000000        0.000000  ...   0.0         0.0       0.0   0.000000   \n",
       "1      0.000000        0.000000  ...   0.0         0.0       0.0   0.010417   \n",
       "2      0.000000        0.000000  ...   0.0         0.0       0.0   0.000000   \n",
       "3      0.540984        0.016393  ...   0.0         0.0       0.0   0.000000   \n",
       "4      0.000000        0.000000  ...   0.0         0.0       0.0   0.000000   \n",
       "\n",
       "     Winery  Wings Joint  Women's Store  Yoga Studio  Zoo  Zoo Exhibit  \n",
       "0  0.000000          0.0            0.0          0.0  0.0     0.000000  \n",
       "1  0.010417          0.0            0.0          0.0  0.0     0.010417  \n",
       "2  0.000000          0.0            0.0          0.0  0.0     0.000000  \n",
       "3  0.000000          0.0            0.0          0.0  0.0     0.000000  \n",
       "4  0.000000          0.0            0.0          0.0  0.0     0.000000  \n",
       "\n",
       "[5 rows x 502 columns]"
      ]
     },
     "execution_count": 951,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "madrid_grouped = madrid_onehot.groupby('Neighbourhood').mean().reset_index()\n",
    "print(f'Size: {madrid_grouped.shape}')\n",
    "madrid_grouped.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Loading census data file<a class=\"anchor\" id=\"loading-census\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Population by neighbourhood__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 952,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(131, 3)\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>District</th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CENTRO</td>\n",
       "      <td>PALACIO</td>\n",
       "      <td>23691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CENTRO</td>\n",
       "      <td>EMBAJADORES</td>\n",
       "      <td>47460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CENTRO</td>\n",
       "      <td>CORTES</td>\n",
       "      <td>10763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CENTRO</td>\n",
       "      <td>JUSTICIA</td>\n",
       "      <td>18179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CENTRO</td>\n",
       "      <td>UNIVERSIDAD</td>\n",
       "      <td>33527</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  District Neighbourhood  Population\n",
       "0   CENTRO       PALACIO       23691\n",
       "1   CENTRO   EMBAJADORES       47460\n",
       "2   CENTRO        CORTES       10763\n",
       "3   CENTRO      JUSTICIA       18179\n",
       "4   CENTRO   UNIVERSIDAD       33527"
      ]
     },
     "execution_count": 952,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load data from file taking into account the table headers are on the 4th row and the population need to be converted to integer.\n",
    "df_madrid_population = pd.read_excel('files/madrid_population.xls', header=3, names=['District', 'Neighbourhood', 'Population'], nrows=131, converters={'Total': int})\n",
    "print(df_madrid_population.shape)\n",
    "df_madrid_population.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 953,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(131, 2)\n"
     ]
    },
    {
     "data": {
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       "\n",
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       "    }\n",
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       "    .dataframe thead th {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighbourhood</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>PALACIO</td>\n",
       "      <td>23691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>EMBAJADORES</td>\n",
       "      <td>47460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CORTES</td>\n",
       "      <td>10763</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>JUSTICIA</td>\n",
       "      <td>18179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>UNIVERSIDAD</td>\n",
       "      <td>33527</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighbourhood  Population\n",
       "0       PALACIO       23691\n",
       "1   EMBAJADORES       47460\n",
       "2        CORTES       10763\n",
       "3      JUSTICIA       18179\n",
       "4   UNIVERSIDAD       33527"
      ]
     },
     "execution_count": 953,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop District column\n",
    "df_madrid_population.drop('District', axis=1, inplace=True)\n",
    "print(df_madrid_population.shape)\n",
    "df_madrid_population.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Household income by neighbourhood__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 954,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(131, 3)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>District</th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Income</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01. Centro</td>\n",
       "      <td>011. Palacio</td>\n",
       "      <td>34675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>01. Centro</td>\n",
       "      <td>012. Embajadores</td>\n",
       "      <td>25999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>01. Centro</td>\n",
       "      <td>013. Cortes</td>\n",
       "      <td>34952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>01. Centro</td>\n",
       "      <td>014. Justicia</td>\n",
       "      <td>40314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>01. Centro</td>\n",
       "      <td>015. Universidad</td>\n",
       "      <td>30701</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     District        Neighbourhood  Income\n",
       "0  01. Centro         011. Palacio   34675\n",
       "1  01. Centro     012. Embajadores   25999\n",
       "2  01. Centro          013. Cortes   34952\n",
       "3  01. Centro        014. Justicia   40314\n",
       "4  01. Centro     015. Universidad   30701"
      ]
     },
     "execution_count": 954,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load data from file taking into account the table headers are on the 4th row and the population need to be converted to integer.\n",
    "df_madrid_income = pd.read_excel('files/madrid_income.xlsx', names=['District', 'Neighbourhood', 'Income'], converters={'Income': int})\n",
    "print(df_madrid_income.shape)\n",
    "df_madrid_income.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 955,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(131, 2)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Income</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PALACIO</td>\n",
       "      <td>34675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>EMBAJADORES</td>\n",
       "      <td>25999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CORTES</td>\n",
       "      <td>34952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>JUSTICIA</td>\n",
       "      <td>40314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>UNIVERSIDAD</td>\n",
       "      <td>30701</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighbourhood  Income\n",
       "0       PALACIO   34675\n",
       "1   EMBAJADORES   25999\n",
       "2        CORTES   34952\n",
       "3      JUSTICIA   40314\n",
       "4   UNIVERSIDAD   30701"
      ]
     },
     "execution_count": 955,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop District column and remove digits from Neighbourhood column\n",
    "df_madrid_income.drop('District', axis=1, inplace=True)\n",
    "df_madrid_income['Neighbourhood'] = df_madrid_income['Neighbourhood'].str[8:].str.upper()\n",
    "print(df_madrid_income.shape)\n",
    "df_madrid_income.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Neighbourhood segmentation <a class=\"anchor\" id=\"neighbourhood-segmentation\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Converting into a Dataframe__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 956,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function for sorting the venues in descencing order\n",
    "def return_most_common_venues(row, num_top_venues):\n",
    "    row_categories = row.iloc[1:]\n",
    "    row_categories_sorted = row_categories.sort_values(ascending=False)\n",
    "    \n",
    "    return row_categories_sorted.index.values[0:num_top_venues]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 957,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ABRANTES</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Brazilian Restaurant</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Office</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Veterinarian</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ACACIAS</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Non-Profit</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Doctor's Office</td>\n",
       "      <td>General College &amp; University</td>\n",
       "      <td>Office</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ADELFAS</td>\n",
       "      <td>Office</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Assisted Living</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Auto Dealership</td>\n",
       "      <td>General Entertainment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AEROPUERTO</td>\n",
       "      <td>Airport Gate</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Office</td>\n",
       "      <td>Transportation Service</td>\n",
       "      <td>Newsstand</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ALAMEDA DE OSUNA</td>\n",
       "      <td>Travel Agency</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Smoke Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Market</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Neighbourhood 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "0          ABRANTES                   Bar                  Bank   \n",
       "1           ACACIAS    Salon / Barbershop                  Bank   \n",
       "2           ADELFAS                Office                  Bank   \n",
       "3        AEROPUERTO          Airport Gate       Airport Service   \n",
       "4  ALAMEDA DE OSUNA         Travel Agency    Salon / Barbershop   \n",
       "\n",
       "  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "0    Salon / Barbershop  Brazilian Restaurant  Gym / Fitness Center   \n",
       "1            Non-Profit                  Park           Pizza Place   \n",
       "2    Spanish Restaurant                   Bar    Salon / Barbershop   \n",
       "3   Rental Car Location     Accessories Store       Coworking Space   \n",
       "4                  Bank                   Bar              Pharmacy   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "0      Dentist's Office                Office                 Diner   \n",
       "1        Medical Center                   Bar       Doctor's Office   \n",
       "2              Pharmacy       Assisted Living           Coffee Shop   \n",
       "3            Restaurant        Sandwich Place                Office   \n",
       "4            Smoke Shop    Italian Restaurant      Dentist's Office   \n",
       "\n",
       "          9th Most Common Venue 10th Most Common Venue  \n",
       "0                        Bakery           Veterinarian  \n",
       "1  General College & University                 Office  \n",
       "2               Auto Dealership  General Entertainment  \n",
       "3        Transportation Service              Newsstand  \n",
       "4                        Market          Grocery Store  "
      ]
     },
     "execution_count": 957,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_top_venues = 10\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\n",
    "# create columns according to number of top venues\n",
    "columns = ['Neighbourhood']\n",
    "for ind in np.arange(num_top_venues):\n",
    "    try:\n",
    "        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n",
    "    except:\n",
    "        columns.append('{}th Most Common Venue'.format(ind+1))\n",
    "\n",
    "# create a new dataframe\n",
    "neighbourhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "neighbourhoods_venues_sorted['Neighbourhood'] = madrid_grouped['Neighbourhood']\n",
    "\n",
    "for ind in np.arange(madrid_grouped.shape[0]):\n",
    "    neighbourhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(madrid_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "neighbourhoods_venues_sorted.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Finding optimum number of clusters by the elbow method__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 967,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 2 3 4 5 6 7 8 9 "
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Elbow Method For Optimal k')"
      ]
     },
     "execution_count": 967,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "madrid_grouped_clustering = madrid_grouped.drop('Neighbourhood', 1)\n",
    "sum_of_squared_distances = []\n",
    "K = range(1,10)\n",
    "\n",
    "for k in K:\n",
    "    print(k, end=' ')\n",
    "    kmeans = KMeans(n_clusters=k, random_state=1, n_init=20).fit(madrid_grouped_clustering)\n",
    "    sum_of_squared_distances.append(kmeans.inertia_)\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(K, sum_of_squared_distances, 'bx-')\n",
    "plt.title('Elbow Method For Optimal k')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Clustering neighbourhoods__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run _k_-means to cluster the neighbourhoods into 5 clusters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 968,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 2, 0, 3, 2, 1, 0, 2, 2, 2], dtype=int32)"
      ]
     },
     "execution_count": 968,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set number of clusters\n",
    "kclusters = 5\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=100).fit(madrid_grouped_clustering)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "kmeans.labels_[0:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Creating a dataframe with cluster labels and top venues__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 971,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PALACIO</td>\n",
       "      <td>40.41517</td>\n",
       "      <td>-3.71273</td>\n",
       "      <td>2</td>\n",
       "      <td>Church</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Monument / Landmark</td>\n",
       "      <td>Historic Site</td>\n",
       "      <td>Office</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>EMBAJADORES</td>\n",
       "      <td>40.40803</td>\n",
       "      <td>-3.70067</td>\n",
       "      <td>2</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CORTES</td>\n",
       "      <td>40.41589</td>\n",
       "      <td>-3.69636</td>\n",
       "      <td>0</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Office</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Government Building</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Capitol Building</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Hotel Bar</td>\n",
       "      <td>Building</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>JUSTICIA</td>\n",
       "      <td>40.42479</td>\n",
       "      <td>-3.69308</td>\n",
       "      <td>1</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Office</td>\n",
       "      <td>Courthouse</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Food</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Embassy / Consulate</td>\n",
       "      <td>Building</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Post Office</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>UNIVERSIDAD</td>\n",
       "      <td>40.42565</td>\n",
       "      <td>-3.70726</td>\n",
       "      <td>2</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Government Building</td>\n",
       "      <td>Office</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Bed &amp; Breakfast</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Metro Station</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighbourhood  Latitude  Longitude  Cluster Labels 1st Most Common Venue  \\\n",
       "0       PALACIO  40.41517   -3.71273               2                Church   \n",
       "1   EMBAJADORES  40.40803   -3.70067               2    Spanish Restaurant   \n",
       "2        CORTES  40.41589   -3.69636               0    Spanish Restaurant   \n",
       "3      JUSTICIA  40.42479   -3.69308               1           Art Gallery   \n",
       "4   UNIVERSIDAD  40.42565   -3.70726               2                  Café   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0            Restaurant    Spanish Restaurant    Mexican Restaurant   \n",
       "1      Tapas Restaurant                   Bar     Indian Restaurant   \n",
       "2                Office            Restaurant   Government Building   \n",
       "3                Office            Courthouse              Boutique   \n",
       "4             Bookstore                   Bar   Government Building   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0                 Plaza   Monument / Landmark         Historic Site   \n",
       "1            Restaurant    Salon / Barbershop           Coffee Shop   \n",
       "2      Tapas Restaurant      Capitol Building                 Hotel   \n",
       "3                  Food            Restaurant   Embassy / Consulate   \n",
       "4                Office                 Hotel       Bed & Breakfast   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue  10th Most Common Venue  \n",
       "0                Office     Korean Restaurant  Furniture / Home Store  \n",
       "1     Food & Drink Shop               Theater             Pizza Place  \n",
       "2   Japanese Restaurant             Hotel Bar                Building  \n",
       "3              Building         Women's Store             Post Office  \n",
       "4       Coworking Space    Mexican Restaurant           Metro Station  "
      ]
     },
     "execution_count": 971,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add clustering labels\n",
    "neighbourhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
    "\n",
    "madrid_merged = df_madrid\n",
    "\n",
    "# merge madrid_grouped with df_madrid to add latitude/longitude for each neighbourhood\n",
    "madrid_merged = madrid_merged.join(neighbourhoods_venues_sorted.set_index('Neighbourhood'), on='Neighbourhood')\n",
    "\n",
    "madrid_merged.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Visualizing the clusters__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 972,
   "metadata": {},
   "outputs": [
    {
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      ],
      "text/plain": [
       "<folium.folium.Map at 0x12fcb6790>"
      ]
     },
     "execution_count": 972,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map\n",
    "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=11)\n",
    "\n",
    "# set color scheme for the clusters\n",
    "x = np.arange(kclusters)\n",
    "ys = [i + x + (i*x)**2 for i in range(kclusters)]\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "\n",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, area, cluster in zip(madrid_merged['Latitude'], madrid_merged['Longitude'], madrid_merged['Neighbourhood'], madrid_merged['Cluster Labels']):\n",
    "    label = folium.Popup(remove_accents(str(area)) + ' Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color=rainbow[int(cluster)-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[int(cluster)-1],\n",
    "        fill_opacity=0.7).add_to(map_clusters)\n",
    "       \n",
    "map_clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Examining clusters__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's find the residential clusters by examining the discriminating venue categories."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Cluster 0__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 973,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CORTES</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Office</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Government Building</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Capitol Building</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Hotel Bar</td>\n",
       "      <td>Building</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>SOL</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Hostel</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Building</td>\n",
       "      <td>Housing Development</td>\n",
       "      <td>Bookstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>IMPERIAL</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Office</td>\n",
       "      <td>Laundry Service</td>\n",
       "      <td>Residential Building (Apartment / Condo)</td>\n",
       "      <td>Factory</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Trade School</td>\n",
       "      <td>Automotive Shop</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>LEGAZPI</td>\n",
       "      <td>Office</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Residential Building (Apartment / Condo)</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>DELICIAS</td>\n",
       "      <td>Office</td>\n",
       "      <td>Nursery School</td>\n",
       "      <td>Automotive Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>School</td>\n",
       "      <td>Building</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Design Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>ATOCHA</td>\n",
       "      <td>Office</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Building</td>\n",
       "      <td>Professional &amp; Other Places</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>ADELFAS</td>\n",
       "      <td>Office</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Assisted Living</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Auto Dealership</td>\n",
       "      <td>General Entertainment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NIÑO JESÚS</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Office</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Government Building</td>\n",
       "      <td>Café</td>\n",
       "      <td>Doctor's Office</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Sports Club</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>FUENTE DEL BERRO</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Office</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Building</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Doctor's Office</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Farmers Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>GUINDALERA</td>\n",
       "      <td>Office</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Automotive Shop</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Nail Salon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>EL VISO</td>\n",
       "      <td>Office</td>\n",
       "      <td>Embassy / Consulate</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Government Building</td>\n",
       "      <td>College Academic Building</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>College Classroom</td>\n",
       "      <td>Church</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>PROSPERIDAD</td>\n",
       "      <td>Office</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>ALMENARA</td>\n",
       "      <td>Office</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Building</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Post Office</td>\n",
       "      <td>Smoke Shop</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>BERRUGUETE</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Building</td>\n",
       "      <td>Office</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Residential Building (Apartment / Condo)</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>RÍOS ROSAS</td>\n",
       "      <td>Office</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Government Building</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Parking</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>VALLEHERMOSO</td>\n",
       "      <td>Office</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Hospital</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>College Residence Hall</td>\n",
       "      <td>School</td>\n",
       "      <td>Professional &amp; Other Places</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>FUENTELARREINA</td>\n",
       "      <td>Office</td>\n",
       "      <td>Building</td>\n",
       "      <td>Residential Building (Apartment / Condo)</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Church</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>PEÑAGRANDE</td>\n",
       "      <td>Office</td>\n",
       "      <td>Building</td>\n",
       "      <td>Residential Building (Apartment / Condo)</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>LA PAZ</td>\n",
       "      <td>Hospital</td>\n",
       "      <td>Building</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>College Lab</td>\n",
       "      <td>Residential Building (Apartment / Condo)</td>\n",
       "      <td>Medical Lab</td>\n",
       "      <td>Parking</td>\n",
       "      <td>School</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>VALVERDE</td>\n",
       "      <td>Office</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Radio Station</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>VALDEMARÍN</td>\n",
       "      <td>Office</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hospital</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Park</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Building</td>\n",
       "      <td>School</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Tech Startup</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>BUENAVISTA</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Building</td>\n",
       "      <td>Office</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Automotive Shop</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>ORCASUR</td>\n",
       "      <td>Hospital</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Building</td>\n",
       "      <td>Office</td>\n",
       "      <td>Student Center</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Parking</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Assisted Living</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>SAN FERMÍN</td>\n",
       "      <td>Office</td>\n",
       "      <td>Building</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Snack Place</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Tennis Stadium</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Post Office</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Farmers Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>PALOMERAS SURESTE</td>\n",
       "      <td>Office</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>PAVONES</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>Building</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Temple</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Student Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>MEDIA LEGUA</td>\n",
       "      <td>Office</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>Post Office</td>\n",
       "      <td>Nail Salon</td>\n",
       "      <td>Bank</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>SAN PASCUAL</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Office</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Government Building</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Building</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>SAN JUAN BAUTISTA</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Office</td>\n",
       "      <td>Building</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Government Building</td>\n",
       "      <td>Doctor's Office</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>School</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>COLINA</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Office</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Building</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Bus Station</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Dentist's Office</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>COSTILLARES</td>\n",
       "      <td>Office</td>\n",
       "      <td>Building</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Casino</td>\n",
       "      <td>School</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Supermarket</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>PALOMAS</td>\n",
       "      <td>Office</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Arcade</td>\n",
       "      <td>Candy Store</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Automotive Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>PIOVERA</td>\n",
       "      <td>Embassy / Consulate</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Office</td>\n",
       "      <td>Kids Store</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Building</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Dentist's Office</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>APÓSTOL SANTIAGO</td>\n",
       "      <td>Office</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Park</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Government Building</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>SAN CRISTÓBAL</td>\n",
       "      <td>Office</td>\n",
       "      <td>Automotive Shop</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Factory</td>\n",
       "      <td>Building</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Military Base</td>\n",
       "      <td>Hardware Store</td>\n",
       "      <td>Winery</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>VALDERRIVAS</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Office</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Building</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Coworking Space</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>CANILLEJAS</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Office</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Building</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>EL SALVADOR</td>\n",
       "      <td>Office</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Toy / Game Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>CORRALEJOS</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Convention Center</td>\n",
       "      <td>Office</td>\n",
       "      <td>Fair</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Meeting Room</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Bridal Shop</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Neighbourhood 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "2               CORTES    Spanish Restaurant                Office   \n",
       "5                  SOL        Clothing Store         Jewelry Store   \n",
       "6             IMPERIAL                   Bar                Office   \n",
       "9              LEGAZPI                Office              Pharmacy   \n",
       "10            DELICIAS                Office        Nursery School   \n",
       "12              ATOCHA                Office         Train Station   \n",
       "14             ADELFAS                Office                  Bank   \n",
       "18          NIÑO JESÚS    Spanish Restaurant                Office   \n",
       "21    FUENTE DEL BERRO    Spanish Restaurant                Office   \n",
       "22          GUINDALERA                Office    Spanish Restaurant   \n",
       "25             EL VISO                Office   Embassy / Consulate   \n",
       "26         PROSPERIDAD                Office      Dentist's Office   \n",
       "34            ALMENARA                Office        Medical Center   \n",
       "36          BERRUGUETE                   Bar                  Bank   \n",
       "41          RÍOS ROSAS                Office   Japanese Restaurant   \n",
       "42        VALLEHERMOSO                Office                  Bank   \n",
       "44      FUENTELARREINA                Office              Building   \n",
       "45          PEÑAGRANDE                Office              Building   \n",
       "47              LA PAZ              Hospital              Building   \n",
       "48            VALVERDE                Office    Salon / Barbershop   \n",
       "55          VALDEMARÍN                Office            Restaurant   \n",
       "70          BUENAVISTA        Clothing Store       Coworking Space   \n",
       "73             ORCASUR              Hospital                  Bank   \n",
       "74          SAN FERMÍN                Office              Building   \n",
       "82   PALOMERAS SURESTE                Office                  Pool   \n",
       "85             PAVONES              Bus Stop              Building   \n",
       "88         MEDIA LEGUA                Office    Salon / Barbershop   \n",
       "95         SAN PASCUAL                  Bank                Office   \n",
       "96   SAN JUAN BAUTISTA        Medical Center                Office   \n",
       "97              COLINA                  Bank              Pharmacy   \n",
       "99         COSTILLARES                Office              Building   \n",
       "100            PALOMAS                Office                 Hotel   \n",
       "101            PIOVERA   Embassy / Consulate    Italian Restaurant   \n",
       "104   APÓSTOL SANTIAGO                Office        Medical Center   \n",
       "107      SAN CRISTÓBAL                Office       Automotive Shop   \n",
       "116        VALDERRIVAS          Tech Startup                Office   \n",
       "124         CANILLEJAS                  Bank                Office   \n",
       "125        EL SALVADOR                Office    Spanish Restaurant   \n",
       "130         CORRALEJOS           Event Space     Convention Center   \n",
       "\n",
       "                        3rd Most Common Venue  \\\n",
       "2                                  Restaurant   \n",
       "5                                       Plaza   \n",
       "6                             Laundry Service   \n",
       "9                                    Bus Line   \n",
       "10                            Automotive Shop   \n",
       "12                            Coworking Space   \n",
       "14                         Spanish Restaurant   \n",
       "18                                      Plaza   \n",
       "21                             Medical Center   \n",
       "22                                        Bar   \n",
       "25                                        Bar   \n",
       "26                                        Bar   \n",
       "34                                   Building   \n",
       "36                                   Building   \n",
       "41                        Government Building   \n",
       "42                                   Hospital   \n",
       "44   Residential Building (Apartment / Condo)   \n",
       "45   Residential Building (Apartment / Condo)   \n",
       "47                         Spanish Restaurant   \n",
       "48                                        Bar   \n",
       "55                                   Hospital   \n",
       "70                                   Building   \n",
       "73                                Coffee Shop   \n",
       "74                         Salon / Barbershop   \n",
       "82                                Gas Station   \n",
       "85                             Medical Center   \n",
       "88                                Coffee Shop   \n",
       "95                                 Restaurant   \n",
       "96                                   Building   \n",
       "97                                     Office   \n",
       "99                                       Bank   \n",
       "100                         Mobile Phone Shop   \n",
       "101                                    Office   \n",
       "104                              Tech Startup   \n",
       "107                           Coworking Space   \n",
       "116                          Dentist's Office   \n",
       "124                                       Bar   \n",
       "125                                       Bar   \n",
       "130                                    Office   \n",
       "\n",
       "                        4th Most Common Venue  5th Most Common Venue  \\\n",
       "2                         Government Building       Tapas Restaurant   \n",
       "5                          Miscellaneous Shop      Accessories Store   \n",
       "6    Residential Building (Apartment / Condo)                Factory   \n",
       "9                                 Supermarket            Pizza Place   \n",
       "10                                 Restaurant   Gym / Fitness Center   \n",
       "12                                       Bank         Breakfast Spot   \n",
       "14                                        Bar     Salon / Barbershop   \n",
       "18                        Government Building                   Café   \n",
       "21                                 Restaurant               Building   \n",
       "22                                       Bank  General Entertainment   \n",
       "25                               Tech Startup    Government Building   \n",
       "26                             Cosmetics Shop     Spanish Restaurant   \n",
       "34                         Salon / Barbershop                    Bar   \n",
       "36                                     Office     Salon / Barbershop   \n",
       "41                           Tapas Restaurant     Spanish Restaurant   \n",
       "42                         Spanish Restaurant             Restaurant   \n",
       "44                                       Park               Bus Line   \n",
       "45                             Medical Center             Playground   \n",
       "47                                       Bank               Pharmacy   \n",
       "48                                       Bank       Dentist's Office   \n",
       "55                            Coworking Space                   Park   \n",
       "70                                     Office           Tech Startup   \n",
       "73                                   Building                 Office   \n",
       "74                                Snack Place           Tech Startup   \n",
       "82                       Fast Food Restaurant               Bus Line   \n",
       "85                                   Bus Line             Restaurant   \n",
       "88                                 Restaurant                Brewery   \n",
       "95                              Grocery Store    Government Building   \n",
       "96                                       Bank    Government Building   \n",
       "97                         Miscellaneous Shop         Medical Center   \n",
       "99                           Dentist's Office     Salon / Barbershop   \n",
       "100                          Department Store             Restaurant   \n",
       "101                                Kids Store               Pharmacy   \n",
       "104                           Coworking Space                   Park   \n",
       "107                                   Factory               Building   \n",
       "116                                      Café               Bus Line   \n",
       "124                        Spanish Restaurant     Salon / Barbershop   \n",
       "125                                      Bank     Salon / Barbershop   \n",
       "130                                      Fair  General Entertainment   \n",
       "\n",
       "         6th Most Common Venue                     7th Most Common Venue  \\\n",
       "2             Capitol Building                                     Hotel   \n",
       "5                       Hostel                               Art Gallery   \n",
       "6            Korean Restaurant                               Gas Station   \n",
       "9                Grocery Store                     General Entertainment   \n",
       "10                      School                                  Building   \n",
       "12                Tech Startup                               Coffee Shop   \n",
       "14                    Pharmacy                           Assisted Living   \n",
       "18             Doctor's Office                                Restaurant   \n",
       "21                      Bakery                           Doctor's Office   \n",
       "22             Automotive Shop                            Medical Center   \n",
       "25   College Academic Building                                     Plaza   \n",
       "26            Tapas Restaurant                        Salon / Barbershop   \n",
       "34                 Post Office                                Smoke Shop   \n",
       "36                      Bakery                                  Pharmacy   \n",
       "41                  Restaurant                                   Parking   \n",
       "42                 Pizza Place                                      Café   \n",
       "44                    Pharmacy                         Food & Drink Shop   \n",
       "45                       Diner                                      Bank   \n",
       "47                 College Lab  Residential Building (Apartment / Condo)   \n",
       "48                  Restaurant                                 Bookstore   \n",
       "55          Spanish Restaurant                                  Building   \n",
       "70           Electronics Store                           Automotive Shop   \n",
       "73              Student Center                               Gas Station   \n",
       "74              Tennis Stadium                                Restaurant   \n",
       "82          Spanish Restaurant                                   Brewery   \n",
       "85          Spanish Restaurant                                      Café   \n",
       "88        Fast Food Restaurant                                  Bus Stop   \n",
       "95          Chinese Restaurant                                  Pharmacy   \n",
       "96             Doctor's Office                        Salon / Barbershop   \n",
       "97                    Building                             Grocery Store   \n",
       "99              Medical Center                                    Casino   \n",
       "100                     Arcade                               Candy Store   \n",
       "101                   Building                        Salon / Barbershop   \n",
       "104              Grocery Store                       Government Building   \n",
       "107         Salon / Barbershop                             Military Base   \n",
       "116                   Building                               Music Venue   \n",
       "124                Coffee Shop                                      Park   \n",
       "125           Asian Restaurant                          Toy / Game Store   \n",
       "130               Meeting Room                                   Dog Run   \n",
       "\n",
       "      8th Most Common Venue                     9th Most Common Venue  \\\n",
       "2       Japanese Restaurant                                 Hotel Bar   \n",
       "5                  Building                       Housing Development   \n",
       "6              Trade School                           Automotive Shop   \n",
       "9        Spanish Restaurant  Residential Building (Apartment / Condo)   \n",
       "10              Coffee Shop                  Mediterranean Restaurant   \n",
       "12                 Building               Professional & Other Places   \n",
       "14              Coffee Shop                           Auto Dealership   \n",
       "18                     Bank                            Farmers Market   \n",
       "21         Tapas Restaurant                               Supermarket   \n",
       "22            Grocery Store                              Cocktail Bar   \n",
       "25        College Classroom                                    Church   \n",
       "26               Restaurant                        Miscellaneous Shop   \n",
       "34            Deli / Bodega                                    Bakery   \n",
       "36          Coworking Space  Residential Building (Apartment / Condo)   \n",
       "41             Tech Startup                        Italian Restaurant   \n",
       "42   College Residence Hall                                    School   \n",
       "44                   Church                                       Bar   \n",
       "45                      Bar                          Dentist's Office   \n",
       "47              Medical Lab                                   Parking   \n",
       "48            Radio Station                              Tech Startup   \n",
       "55                   School                                      Pool   \n",
       "70                 Bus Line                          Tapas Restaurant   \n",
       "73                  Parking                               Pizza Place   \n",
       "74              Post Office                                 Bookstore   \n",
       "82             Tech Startup                                       Bar   \n",
       "85                   Temple                                     Diner   \n",
       "88              Post Office                                Nail Salon   \n",
       "95                 Building                        Salon / Barbershop   \n",
       "96             Tech Startup                                    School   \n",
       "97              Bus Station                       Japanese Restaurant   \n",
       "99                   School                                Playground   \n",
       "100      Salon / Barbershop                           Automotive Shop   \n",
       "101      Spanish Restaurant                               Pizza Place   \n",
       "104                     Bar                               Gas Station   \n",
       "107          Hardware Store                                    Winery   \n",
       "116             Gas Station                        Salon / Barbershop   \n",
       "124                Building                              Tech Startup   \n",
       "125                    Café                        Chinese Restaurant   \n",
       "130              Food Truck                               Bridal Shop   \n",
       "\n",
       "          10th Most Common Venue  \n",
       "2                       Building  \n",
       "5                      Bookstore  \n",
       "6                         Bakery  \n",
       "9                            Bar  \n",
       "10                 Design Studio  \n",
       "12                         Diner  \n",
       "14         General Entertainment  \n",
       "18                   Sports Club  \n",
       "21                Farmers Market  \n",
       "22                    Nail Salon  \n",
       "25            Spanish Restaurant  \n",
       "26                  Cocktail Bar  \n",
       "34                    Restaurant  \n",
       "36                 Grocery Store  \n",
       "41                          Park  \n",
       "42   Professional & Other Places  \n",
       "44                        Bakery  \n",
       "45                       Brewery  \n",
       "47                        School  \n",
       "48                        Bakery  \n",
       "55                  Tech Startup  \n",
       "70        Furniture / Home Store  \n",
       "73               Assisted Living  \n",
       "74                Farmers Market  \n",
       "82                 Grocery Store  \n",
       "85                Student Center  \n",
       "88                          Bank  \n",
       "95                Sandwich Place  \n",
       "96                           Bar  \n",
       "97              Dentist's Office  \n",
       "99                   Supermarket  \n",
       "100           Italian Restaurant  \n",
       "101             Dentist's Office  \n",
       "104     Mediterranean Restaurant  \n",
       "107               Breakfast Spot  \n",
       "116              Coworking Space  \n",
       "124                        Hotel  \n",
       "125                   Restaurant  \n",
       "130          Sporting Goods Shop  "
      ]
     },
     "execution_count": 973,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "madrid_merged.loc[madrid_merged['Cluster Labels'] == 0, madrid_merged.columns[[0] + list(range(4, madrid_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Cluster 1__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 974,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>JUSTICIA</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Office</td>\n",
       "      <td>Courthouse</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Food</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Embassy / Consulate</td>\n",
       "      <td>Building</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Post Office</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>LOS JERÓNIMOS</td>\n",
       "      <td>Office</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Non-Profit</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Building</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Clothing Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>RECOLETOS</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Office</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Shoe Store</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Men's Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>CASTELLANA</td>\n",
       "      <td>Office</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Building</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Café</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Doctor's Office</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>CIUDAD JARDÍN</td>\n",
       "      <td>Office</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Building</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Real Estate Office</td>\n",
       "      <td>Other Great Outdoors</td>\n",
       "      <td>Supermarket</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>NUEVA ESPAÑA</td>\n",
       "      <td>Office</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Embassy / Consulate</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Building</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Student Center</td>\n",
       "      <td>Other Great Outdoors</td>\n",
       "      <td>Doctor's Office</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>CASTILLA</td>\n",
       "      <td>Office</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Building</td>\n",
       "      <td>Bank</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Other Great Outdoors</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>CASTILLEJOS</td>\n",
       "      <td>Office</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Residential Building (Apartment / Condo)</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Building</td>\n",
       "      <td>Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>ALMAGRO</td>\n",
       "      <td>Office</td>\n",
       "      <td>Building</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Professional &amp; Other Places</td>\n",
       "      <td>Business Center</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Modern European Restaurant</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>College Lab</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>EL PLANTÍO</td>\n",
       "      <td>Office</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Building</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>ATALAYA</td>\n",
       "      <td>Office</td>\n",
       "      <td>Building</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Other Great Outdoors</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Dentist's Office</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>SIMANCAS</td>\n",
       "      <td>Office</td>\n",
       "      <td>Building</td>\n",
       "      <td>Other Great Outdoors</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Car Wash</td>\n",
       "      <td>Medical Lab</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>REJAS</td>\n",
       "      <td>Office</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Building</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Residential Building (Apartment / Condo)</td>\n",
       "      <td>Park</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Neighbourhood 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "3         JUSTICIA           Art Gallery                Office   \n",
       "17   LOS JERÓNIMOS                Office           Art Gallery   \n",
       "19       RECOLETOS              Boutique                Office   \n",
       "24      CASTELLANA                Office                  Bank   \n",
       "27   CIUDAD JARDÍN                Office          Tech Startup   \n",
       "29    NUEVA ESPAÑA                Office        Medical Center   \n",
       "30        CASTILLA                Office       Coworking Space   \n",
       "33     CASTILLEJOS                Office                  Bank   \n",
       "40         ALMAGRO                Office              Building   \n",
       "56      EL PLANTÍO                Office       Coworking Space   \n",
       "98         ATALAYA                Office              Building   \n",
       "118       SIMANCAS                Office              Building   \n",
       "123          REJAS                Office          Tech Startup   \n",
       "\n",
       "    3rd Most Common Venue        4th Most Common Venue  5th Most Common Venue  \\\n",
       "3              Courthouse                     Boutique                   Food   \n",
       "17             Non-Profit                   Restaurant                   Café   \n",
       "19         Cosmetics Shop               Clothing Store          Jewelry Store   \n",
       "24               Building                   Restaurant           Tech Startup   \n",
       "27               Building                     Pharmacy                   Café   \n",
       "29    Embassy / Consulate              Coworking Space               Building   \n",
       "30               Building                         Bank  General Entertainment   \n",
       "33     Spanish Restaurant                          Gym        Coworking Space   \n",
       "40     Spanish Restaurant  Professional & Other Places        Business Center   \n",
       "56               Building                     Boutique         Clothing Store   \n",
       "98           Tech Startup           Salon / Barbershop   Other Great Outdoors   \n",
       "118  Other Great Outdoors               Sandwich Place        Coworking Space   \n",
       "123              Building              Coworking Space             Restaurant   \n",
       "\n",
       "                        6th Most Common Venue  \\\n",
       "3                                  Restaurant   \n",
       "17                                   Building   \n",
       "19                                 Shoe Store   \n",
       "24                                       Café   \n",
       "27                                   Bus Stop   \n",
       "29                           Dentist's Office   \n",
       "30                               Tech Startup   \n",
       "33                         Italian Restaurant   \n",
       "40                               Tech Startup   \n",
       "56                         Spanish Restaurant   \n",
       "98                      General Entertainment   \n",
       "118                              Tech Startup   \n",
       "123  Residential Building (Apartment / Condo)   \n",
       "\n",
       "                        7th Most Common Venue 8th Most Common Venue  \\\n",
       "3                         Embassy / Consulate              Building   \n",
       "17                                Coffee Shop       Coworking Space   \n",
       "19                              Women's Store     Accessories Store   \n",
       "24                           Tapas Restaurant                 Diner   \n",
       "27                                 Restaurant    Real Estate Office   \n",
       "29                             Student Center  Other Great Outdoors   \n",
       "30                             Medical Center                   Bar   \n",
       "33   Residential Building (Apartment / Condo)      Asian Restaurant   \n",
       "40                 Modern European Restaurant           Art Gallery   \n",
       "56                              Jewelry Store            Restaurant   \n",
       "98                         Spanish Restaurant                  Bank   \n",
       "118                      Fast Food Restaurant              Car Wash   \n",
       "123                                      Park        Cosmetics Shop   \n",
       "\n",
       "    9th Most Common Venue    10th Most Common Venue  \n",
       "3           Women's Store               Post Office  \n",
       "17           Cocktail Bar            Clothing Store  \n",
       "19     Miscellaneous Shop               Men's Store  \n",
       "24        Doctor's Office                  Pharmacy  \n",
       "27   Other Great Outdoors               Supermarket  \n",
       "29        Doctor's Office        Salon / Barbershop  \n",
       "30                   Pool      Other Great Outdoors  \n",
       "33               Building                     Hotel  \n",
       "40             Restaurant               College Lab  \n",
       "56     Salon / Barbershop  Mediterranean Restaurant  \n",
       "98         Medical Center          Dentist's Office  \n",
       "118           Medical Lab          Tapas Restaurant  \n",
       "123                  Pool        Spanish Restaurant  "
      ]
     },
     "execution_count": 974,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "madrid_merged.loc[madrid_merged['Cluster Labels'] == 1, madrid_merged.columns[[0] + list(range(4, madrid_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Cluster 2__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 975,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PALACIO</td>\n",
       "      <td>Church</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Monument / Landmark</td>\n",
       "      <td>Historic Site</td>\n",
       "      <td>Office</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>EMBAJADORES</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>UNIVERSIDAD</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Government Building</td>\n",
       "      <td>Office</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Bed &amp; Breakfast</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Metro Station</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ACACIAS</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Non-Profit</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Doctor's Office</td>\n",
       "      <td>General College &amp; University</td>\n",
       "      <td>Office</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>CHOPERA</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>PALOS DE MOGUER</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Snack Place</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>PACÍFICO</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Office</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bank</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>ESTRELLA</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Office</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Doctor's Office</td>\n",
       "      <td>Building</td>\n",
       "      <td>Pub</td>\n",
       "      <td>School</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>IBIZA</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Kids Store</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>GOYA</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Office</td>\n",
       "      <td>Bus Station</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>LISTA</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Hospital</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Pet Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>HISPANOAMÉRICA</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Office</td>\n",
       "      <td>Doctor's Office</td>\n",
       "      <td>Gourmet Shop</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "      <td>Fish Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>BELLAS VISTAS</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Martial Arts School</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Residential Building (Apartment / Condo)</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Smoke Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>CUATRO CAMINOS</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Office</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Park</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>VALDEACEDERAS</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Office</td>\n",
       "      <td>Automotive Shop</td>\n",
       "      <td>Residential Building (Apartment / Condo)</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Student Center</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>GAZTAMBIDE</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Nail Salon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>ARAPILES</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Office</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Building</td>\n",
       "      <td>College Theater</td>\n",
       "      <td>Café</td>\n",
       "      <td>Dentist's Office</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>TRAFALGAR</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Office</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Smoke Shop</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>EL PARDO</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Military Base</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Other Great Outdoors</td>\n",
       "      <td>Basketball Court</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Office</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>PILAR</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Market</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Doctor's Office</td>\n",
       "      <td>Optical Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>MIRASIERRA</td>\n",
       "      <td>Hospital</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Café</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Metro Station</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Church</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Doctor's Office</td>\n",
       "      <td>General College &amp; University</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>CASA DE CAMPO</td>\n",
       "      <td>Theme Park Ride / Attraction</td>\n",
       "      <td>Theme Park</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Park</td>\n",
       "      <td>Other Great Outdoors</td>\n",
       "      <td>Exhibit</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Field</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>ARGÜELLES</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Shoe Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>VALDEZARZA</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Automotive Shop</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>ARAVACA</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Doctor's Office</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>General Travel</td>\n",
       "      <td>Shop &amp; Service</td>\n",
       "      <td>Shoe Store</td>\n",
       "      <td>Automotive Shop</td>\n",
       "      <td>Residential Building (Apartment / Condo)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>LOS CÁRMENES</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Office</td>\n",
       "      <td>Other Great Outdoors</td>\n",
       "      <td>Building</td>\n",
       "      <td>Cemetery</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Automotive Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>PUERTA DEL ÁNGEL</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Church</td>\n",
       "      <td>Doctor's Office</td>\n",
       "      <td>School</td>\n",
       "      <td>Smoke Shop</td>\n",
       "      <td>Hardware Store</td>\n",
       "      <td>Office</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Automotive Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>LUCERO</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Automotive Shop</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Office</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Bus Line</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>ALUCHE</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Beer Garden</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Medical Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>CAMPAMENTO</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Building</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Metro Station</td>\n",
       "      <td>Student Center</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Church</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>CUATRO VIENTOS</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Automotive Shop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "      <td>Doctor's Office</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Office</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>LAS ÁGUILAS</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Automotive Shop</td>\n",
       "      <td>School</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Optical Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>COMILLAS</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Office</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>OPAÑEL</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Office</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Winery</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Building</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>SAN ISIDRO</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Residential Building (Apartment / Condo)</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Auto Garage</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Student Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>VISTA ALEGRE</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Automotive Shop</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>PUERTA BONITA</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Government Building</td>\n",
       "      <td>Office</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Student Center</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Police Station</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>ABRANTES</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Brazilian Restaurant</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Office</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Veterinarian</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>ORCASITAS</td>\n",
       "      <td>Bar</td>\n",
       "      <td>School</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Park</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Soccer Field</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>ALMENDRALES</td>\n",
       "      <td>School</td>\n",
       "      <td>Building</td>\n",
       "      <td>Office</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Dentist's Office</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>MOSCARDÓ</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Nail Salon</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Office</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>ZOFÍO</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Automotive Shop</td>\n",
       "      <td>Winery</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Office</td>\n",
       "      <td>Assisted Living</td>\n",
       "      <td>Pub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>PRADOLONGO</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Church</td>\n",
       "      <td>Bank</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>ENTREVÍAS</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>School</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Building</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Church</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>SAN DIEGO</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Market</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Automotive Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>PALOMERAS BAJAS</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Office</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Nail Salon</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Non-Profit</td>\n",
       "      <td>Post Office</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>PORTAZGO</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Automotive Shop</td>\n",
       "      <td>Building</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>College Academic Building</td>\n",
       "      <td>Church</td>\n",
       "      <td>Chiropractor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>NUMANCIA</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Veterinarian</td>\n",
       "      <td>School</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>HORCAJO</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Building</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Park</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Food</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>MARROQUINA</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Office</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Building</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Nail Salon</td>\n",
       "      <td>University</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Laundry Service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>FONTARRÓN</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Office</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Doctor's Office</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Optical Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>VINATEROS</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Building</td>\n",
       "      <td>Hardware Store</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Doctor's Office</td>\n",
       "      <td>Café</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>VENTAS</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Building</td>\n",
       "      <td>Residential Building (Apartment / Condo)</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>PUEBLO NUEVO</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Automotive Shop</td>\n",
       "      <td>Church</td>\n",
       "      <td>Building</td>\n",
       "      <td>Park</td>\n",
       "      <td>Nail Salon</td>\n",
       "      <td>School</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>QUINTANA</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cafeteria</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Office</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Auto Garage</td>\n",
       "      <td>Bus Line</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>CONCEPCIÓN</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Office</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Automotive Shop</td>\n",
       "      <td>Gourmet Shop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>CANILLAS</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Office</td>\n",
       "      <td>General College &amp; University</td>\n",
       "      <td>Building</td>\n",
       "      <td>Snack Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>PINAR DEL REY</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Automotive Shop</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Office</td>\n",
       "      <td>Shop &amp; Service</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Residential Building (Apartment / Condo)</td>\n",
       "      <td>Dive Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>VALDEFUENTES</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Hospital</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Tech Startup</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>VILLAVERDE ALTO</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Office</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Building</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>BUTARQUE</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Other Great Outdoors</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Hardware Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Student Center</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>LOS ROSALES</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Building</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Winery</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>LOS ÁNGELES</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>School</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>High School</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>CASCO HISTÓRICO DE VALLECAS</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Office</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Residential Building (Apartment / Condo)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>SANTA EUGENIA</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Building</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>ENSANCHE DE VALLECAS</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Church</td>\n",
       "      <td>Government Building</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Office</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>CASCO HISTÓRICO DE VICÁLVARO</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Office</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>VALDEBERNARDO</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Office</td>\n",
       "      <td>Church</td>\n",
       "      <td>Student Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>EL CAÑAVERAL</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>High School</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>HELLÍN</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Post Office</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Student Center</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Medical Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>AMPOSTA</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Office</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Café</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Student Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>ARCOS</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Veterinarian</td>\n",
       "      <td>Community Center</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Student Center</td>\n",
       "      <td>Convenience Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>ROSAS</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Office</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Playground</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Bus Line</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>ALAMEDA DE OSUNA</td>\n",
       "      <td>Travel Agency</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Smoke Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Dentist's Office</td>\n",
       "      <td>Market</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>CASCO HISTÓRICO DE BARAJAS</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Doctor's Office</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Student Center</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>TIMÓN</td>\n",
       "      <td>Airport Gate</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Parking</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Moving Target</td>\n",
       "      <td>Hospital</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Neighbourhood         1st Most Common Venue  \\\n",
       "0                         PALACIO                        Church   \n",
       "1                     EMBAJADORES            Spanish Restaurant   \n",
       "4                     UNIVERSIDAD                          Café   \n",
       "7                         ACACIAS            Salon / Barbershop   \n",
       "8                         CHOPERA                           Bar   \n",
       "11                PALOS DE MOGUER                          Bank   \n",
       "13                       PACÍFICO                           Bar   \n",
       "15                       ESTRELLA                           Bar   \n",
       "16                          IBIZA              Tapas Restaurant   \n",
       "20                           GOYA                Cosmetics Shop   \n",
       "23                          LISTA            Salon / Barbershop   \n",
       "28                 HISPANOAMÉRICA                          Bank   \n",
       "31                  BELLAS VISTAS                           Bar   \n",
       "32                 CUATRO CAMINOS                    Restaurant   \n",
       "35                  VALDEACEDERAS            Salon / Barbershop   \n",
       "37                     GAZTAMBIDE                          Bank   \n",
       "38                       ARAPILES                       Theater   \n",
       "39                      TRAFALGAR              Tapas Restaurant   \n",
       "43                       EL PARDO            Spanish Restaurant   \n",
       "46                          PILAR                    Restaurant   \n",
       "49                     MIRASIERRA                      Hospital   \n",
       "51                  CASA DE CAMPO  Theme Park Ride / Attraction   \n",
       "52                      ARGÜELLES              Dentist's Office   \n",
       "54                     VALDEZARZA                 Grocery Store   \n",
       "57                        ARAVACA                    Restaurant   \n",
       "58                   LOS CÁRMENES                           Bar   \n",
       "59               PUERTA DEL ÁNGEL                        Bakery   \n",
       "60                         LUCERO            Salon / Barbershop   \n",
       "61                         ALUCHE                           Bar   \n",
       "62                     CAMPAMENTO                           Bar   \n",
       "63                 CUATRO VIENTOS                    Restaurant   \n",
       "64                    LAS ÁGUILAS                           Bar   \n",
       "65                       COMILLAS            Salon / Barbershop   \n",
       "66                         OPAÑEL                           Bar   \n",
       "67                     SAN ISIDRO                           Bar   \n",
       "68                   VISTA ALEGRE                           Bar   \n",
       "69                  PUERTA BONITA                   Coffee Shop   \n",
       "71                       ABRANTES                           Bar   \n",
       "72                      ORCASITAS                           Bar   \n",
       "75                    ALMENDRALES                        School   \n",
       "76                       MOSCARDÓ                    Restaurant   \n",
       "77                          ZOFÍO                           Bar   \n",
       "78                     PRADOLONGO            Chinese Restaurant   \n",
       "79                      ENTREVÍAS                           Bar   \n",
       "80                      SAN DIEGO                           Bar   \n",
       "81                PALOMERAS BAJAS                           Bar   \n",
       "83                       PORTAZGO                           Bar   \n",
       "84                       NUMANCIA                           Bar   \n",
       "86                        HORCAJO                           Bar   \n",
       "87                     MARROQUINA                           Bar   \n",
       "89                      FONTARRÓN                           Bar   \n",
       "90                      VINATEROS                           Bar   \n",
       "91                         VENTAS                           Bar   \n",
       "92                   PUEBLO NUEVO            Salon / Barbershop   \n",
       "93                       QUINTANA            Spanish Restaurant   \n",
       "94                     CONCEPCIÓN                           Bar   \n",
       "102                      CANILLAS                           Bar   \n",
       "103                 PINAR DEL REY                           Bar   \n",
       "105                  VALDEFUENTES              Dentist's Office   \n",
       "106               VILLAVERDE ALTO                           Bar   \n",
       "108                      BUTARQUE            Salon / Barbershop   \n",
       "109                   LOS ROSALES                       Brewery   \n",
       "110                   LOS ÁNGELES                       Brewery   \n",
       "111   CASCO HISTÓRICO DE VALLECAS                          Bank   \n",
       "112                 SANTA EUGENIA                           Bar   \n",
       "113          ENSANCHE DE VALLECAS            Salon / Barbershop   \n",
       "114  CASCO HISTÓRICO DE VICÁLVARO              Dentist's Office   \n",
       "115                 VALDEBERNARDO            Salon / Barbershop   \n",
       "117                  EL CAÑAVERAL                           Bar   \n",
       "119                        HELLÍN            Salon / Barbershop   \n",
       "120                       AMPOSTA                           Bar   \n",
       "121                         ARCOS                           Bar   \n",
       "122                         ROSAS                           Bar   \n",
       "126              ALAMEDA DE OSUNA                 Travel Agency   \n",
       "128    CASCO HISTÓRICO DE BARAJAS            Spanish Restaurant   \n",
       "129                         TIMÓN                  Airport Gate   \n",
       "\n",
       "    2nd Most Common Venue                     3rd Most Common Venue  \\\n",
       "0              Restaurant                        Spanish Restaurant   \n",
       "1        Tapas Restaurant                                       Bar   \n",
       "4               Bookstore                                       Bar   \n",
       "7                    Bank                                Non-Profit   \n",
       "8                    Bank                          Tapas Restaurant   \n",
       "11     Salon / Barbershop                        Spanish Restaurant   \n",
       "13         Medical Center                                    Bakery   \n",
       "15                 Office                             Grocery Store   \n",
       "16                   Bank                        Salon / Barbershop   \n",
       "20          Women's Store                                      Bank   \n",
       "23     Spanish Restaurant                                  Pharmacy   \n",
       "28               Pharmacy                             Grocery Store   \n",
       "31     Spanish Restaurant                               Coffee Shop   \n",
       "32                 Office                                    Bakery   \n",
       "35     Spanish Restaurant                                    Office   \n",
       "37              Nightclub                        Spanish Restaurant   \n",
       "38                    Bar                        Salon / Barbershop   \n",
       "39                    Bar                                    Office   \n",
       "43             Restaurant                             Military Base   \n",
       "46     Salon / Barbershop                                       Bar   \n",
       "49         Medical Center                                      Café   \n",
       "51             Theme Park                                       Bar   \n",
       "52                   Bank                                Restaurant   \n",
       "54                   Café                                       Bar   \n",
       "57       Dentist's Office                           Doctor's Office   \n",
       "58               Pharmacy                                  Bus Line   \n",
       "59          Grocery Store                                    Church   \n",
       "60        Automotive Shop                                  Pharmacy   \n",
       "61     Salon / Barbershop                          Dentist's Office   \n",
       "62               Bus Line                                  Building   \n",
       "63        Automotive Shop                               Coffee Shop   \n",
       "64                   Park                                      Bank   \n",
       "65                    Bar                                      Bank   \n",
       "66                 Office                        Spanish Restaurant   \n",
       "67               Bus Line  Residential Building (Apartment / Condo)   \n",
       "68                 Bakery                          Dentist's Office   \n",
       "69                    Bar                       Government Building   \n",
       "71                   Bank                        Salon / Barbershop   \n",
       "72                 School                                      Bank   \n",
       "75               Building                                    Office   \n",
       "76     Chinese Restaurant                                       Bar   \n",
       "77     Spanish Restaurant                                      Park   \n",
       "78          Grocery Store                                       Bar   \n",
       "79                Brewery                                    School   \n",
       "80       Department Store                                Restaurant   \n",
       "81                 Office                                      Bank   \n",
       "83        Automotive Shop                                  Building   \n",
       "84             Playground                                   Brewery   \n",
       "86             Restaurant                          Tapas Restaurant   \n",
       "87                Brewery                                    Office   \n",
       "89       Dentist's Office                                    Office   \n",
       "90               Building                            Hardware Store   \n",
       "91               Pharmacy                                  Bus Stop   \n",
       "92                    Bar                        Spanish Restaurant   \n",
       "93             Restaurant                        Mexican Restaurant   \n",
       "94     Spanish Restaurant                                    Office   \n",
       "102                  Bank                        Spanish Restaurant   \n",
       "103    Salon / Barbershop                          Dentist's Office   \n",
       "105                  Bank                                Restaurant   \n",
       "106                Office                                    Bakery   \n",
       "108  Other Great Outdoors                     General Entertainment   \n",
       "109    Salon / Barbershop                          Dentist's Office   \n",
       "110                   Bar                        Salon / Barbershop   \n",
       "111           Coffee Shop                                  Pharmacy   \n",
       "112    Salon / Barbershop                                   Brewery   \n",
       "113                   Bar                            Breakfast Spot   \n",
       "114                  Café                                      Bank   \n",
       "115              Pharmacy                          Tapas Restaurant   \n",
       "117    Spanish Restaurant                        Salon / Barbershop   \n",
       "119                  Bank                                   Brewery   \n",
       "120                  Bank                                   Brewery   \n",
       "121           Pizza Place                                      Bank   \n",
       "122                  Bank                          Tapas Restaurant   \n",
       "126    Salon / Barbershop                                      Bank   \n",
       "128                   Bar                               Coffee Shop   \n",
       "129   Rental Car Location                                   Parking   \n",
       "\n",
       "    4th Most Common Venue                     5th Most Common Venue  \\\n",
       "0      Mexican Restaurant                                     Plaza   \n",
       "1       Indian Restaurant                                Restaurant   \n",
       "4     Government Building                                    Office   \n",
       "7                    Park                               Pizza Place   \n",
       "8      Miscellaneous Shop                                Restaurant   \n",
       "11             Restaurant                                       Bar   \n",
       "13     Miscellaneous Shop                                     Diner   \n",
       "15     Salon / Barbershop                                      Bank   \n",
       "16                    Bar                               Pizza Place   \n",
       "20     Spanish Restaurant                                  Bus Line   \n",
       "23                    Bar                                  Hospital   \n",
       "28             Restaurant                        Spanish Restaurant   \n",
       "31    Martial Arts School                             Deli / Bodega   \n",
       "32    Japanese Restaurant                                      Bank   \n",
       "35        Automotive Shop  Residential Building (Apartment / Condo)   \n",
       "37            Pizza Place                                       Bar   \n",
       "38                   Bank                                    Office   \n",
       "39             Restaurant                        Spanish Restaurant   \n",
       "43                    Bar                                      Bank   \n",
       "46                   Bank                                   Brewery   \n",
       "49       Dentist's Office                             Metro Station   \n",
       "51                   Park                      Other Great Outdoors   \n",
       "52     Spanish Restaurant                                Shoe Store   \n",
       "54                   Bank                        Spanish Restaurant   \n",
       "57            Art Gallery                                  Boutique   \n",
       "58                 Office                      Other Great Outdoors   \n",
       "59        Doctor's Office                                    School   \n",
       "60                    Bar                                Restaurant   \n",
       "61             Restaurant                               Beer Garden   \n",
       "62     Salon / Barbershop                              Tech Startup   \n",
       "63      Mobile Phone Shop                           Doctor's Office   \n",
       "64         Medical Center                           Automotive Shop   \n",
       "65     Spanish Restaurant                                    Bakery   \n",
       "66            Supermarket                                    Winery   \n",
       "67       Dentist's Office                        Spanish Restaurant   \n",
       "68            Coffee Shop                        Spanish Restaurant   \n",
       "69                 Office                                    Bakery   \n",
       "71   Brazilian Restaurant                      Gym / Fitness Center   \n",
       "72                   Park                        Salon / Barbershop   \n",
       "75     Chinese Restaurant                             Grocery Store   \n",
       "76     Spanish Restaurant                         Mobile Phone Shop   \n",
       "77        Automotive Shop                                    Winery   \n",
       "78     Salon / Barbershop                        Spanish Restaurant   \n",
       "79            Pizza Place                                      Bank   \n",
       "80            Music Venue                             Grocery Store   \n",
       "81             Nail Salon                                     Diner   \n",
       "83            Pizza Place                    Furniture / Home Store   \n",
       "84            Coffee Shop                                    Bakery   \n",
       "86               Building                                      Bank   \n",
       "87     Salon / Barbershop                                  Building   \n",
       "89                Brewery                           Doctor's Office   \n",
       "90                   Bank                                   Brewery   \n",
       "91          Grocery Store                                  Building   \n",
       "92                   Bank                           Automotive Shop   \n",
       "93            Coffee Shop                                 Cafeteria   \n",
       "94                 Bakery                           Automotive Shop   \n",
       "102      Dentist's Office                            Medical Center   \n",
       "103       Automotive Shop                        Spanish Restaurant   \n",
       "105              Pharmacy                                       Bar   \n",
       "106         Train Station                        Spanish Restaurant   \n",
       "108        Hardware Store                                      Park   \n",
       "109           Pizza Place                                      Bank   \n",
       "110      Tapas Restaurant                                      Bank   \n",
       "111    Salon / Barbershop                                       Bar   \n",
       "112                Bakery                                  Pharmacy   \n",
       "113                Church                       Government Building   \n",
       "114    Salon / Barbershop                                      Pool   \n",
       "115                  Café                        Spanish Restaurant   \n",
       "117                  Bank                            Medical Center   \n",
       "119            Playground                                       Gym   \n",
       "120    Spanish Restaurant                                    Office   \n",
       "121              Bus Line                              Veterinarian   \n",
       "122           Pizza Place                        Spanish Restaurant   \n",
       "126                   Bar                                  Pharmacy   \n",
       "128       Doctor's Office                                Restaurant   \n",
       "129    Spanish Restaurant                          Airport Terminal   \n",
       "\n",
       "                        6th Most Common Venue     7th Most Common Venue  \\\n",
       "0                         Monument / Landmark             Historic Site   \n",
       "1                          Salon / Barbershop               Coffee Shop   \n",
       "4                                       Hotel           Bed & Breakfast   \n",
       "7                              Medical Center                       Bar   \n",
       "8                          Spanish Restaurant                     Plaza   \n",
       "11                              Grocery Store          Dentist's Office   \n",
       "13                                     Office     General Entertainment   \n",
       "15                                Coffee Shop           Doctor's Office   \n",
       "16                                     Bakery        Spanish Restaurant   \n",
       "20                              Jewelry Store                    Office   \n",
       "23                                Supermarket                 Bookstore   \n",
       "28                                     Office           Doctor's Office   \n",
       "31   Residential Building (Apartment / Condo)     General Entertainment   \n",
       "32                                        Bar          Tapas Restaurant   \n",
       "35                             Breakfast Spot            Student Center   \n",
       "37                         Miscellaneous Shop        Chinese Restaurant   \n",
       "38                                 Restaurant                  Building   \n",
       "39                                        Pub                Smoke Shop   \n",
       "43                                Gas Station      Other Great Outdoors   \n",
       "46                         Spanish Restaurant                    Market   \n",
       "49                                       Bank                    Church   \n",
       "51                                    Exhibit        Salon / Barbershop   \n",
       "52                                     Bakery            Cosmetics Shop   \n",
       "54                            Automotive Shop        Salon / Barbershop   \n",
       "57                             General Travel            Shop & Service   \n",
       "58                                   Building                  Cemetery   \n",
       "59                                 Smoke Shop            Hardware Store   \n",
       "60                                     Office          Dentist's Office   \n",
       "61                                       Bank                      Park   \n",
       "62                         Spanish Restaurant             Metro Station   \n",
       "63                             Clothing Store              Burger Joint   \n",
       "64                                     School        Chinese Restaurant   \n",
       "65                                Coffee Shop             Grocery Store   \n",
       "66                         Salon / Barbershop               Coffee Shop   \n",
       "67                                Event Space               Auto Garage   \n",
       "68                          Accessories Store               Gas Station   \n",
       "69                           Dentist's Office            Student Center   \n",
       "71                           Dentist's Office                    Office   \n",
       "72                               Soccer Field                  Bus Stop   \n",
       "75                         Spanish Restaurant                Restaurant   \n",
       "76                             Medical Center                Nail Salon   \n",
       "77                           Asian Restaurant                Restaurant   \n",
       "78                             Breakfast Spot          Asian Restaurant   \n",
       "79                                   Building                    Bakery   \n",
       "80                         Chinese Restaurant                    Market   \n",
       "81                          Electronics Store        Spanish Restaurant   \n",
       "83                              Grocery Store        Salon / Barbershop   \n",
       "84                                       Bank          Tapas Restaurant   \n",
       "86                                       Park        Spanish Restaurant   \n",
       "87                             Cosmetics Shop                Nail Salon   \n",
       "89                                       Bank                     Diner   \n",
       "90                                   Bus Stop          Dentist's Office   \n",
       "91   Residential Building (Apartment / Condo)        Salon / Barbershop   \n",
       "92                                     Church                  Building   \n",
       "93                                        Bar                    Office   \n",
       "94                               Gourmet Shop                      Bank   \n",
       "102                        Salon / Barbershop                    Office   \n",
       "103                                    Office            Shop & Service   \n",
       "105                                  Hospital  Mediterranean Restaurant   \n",
       "106                            Medical Center                  Building   \n",
       "108                    Furniture / Home Store          Dentist's Office   \n",
       "109                                  Building                  Pharmacy   \n",
       "110                                    School                Restaurant   \n",
       "111                                    Office          Tapas Restaurant   \n",
       "112                                      Bank                  Building   \n",
       "113                         Food & Drink Shop                      Bank   \n",
       "114                                   Brewery                    Bakery   \n",
       "115                         Food & Drink Shop        Miscellaneous Shop   \n",
       "117                               Gas Station            Cosmetics Shop   \n",
       "119                               Post Office                  Bus Line   \n",
       "120                               Gas Station                      Café   \n",
       "121                          Community Center        Miscellaneous Shop   \n",
       "122                                    Office                Restaurant   \n",
       "126                                Smoke Shop        Italian Restaurant   \n",
       "128                            Student Center                     Plaza   \n",
       "129                           Airport Service                     Diner   \n",
       "\n",
       "            8th Most Common Venue                     9th Most Common Venue  \\\n",
       "0                          Office                         Korean Restaurant   \n",
       "1               Food & Drink Shop                                   Theater   \n",
       "4                 Coworking Space                        Mexican Restaurant   \n",
       "7                 Doctor's Office              General College & University   \n",
       "8                  Breakfast Spot                        Italian Restaurant   \n",
       "11                    Snack Place                    Furniture / Home Store   \n",
       "13                  Grocery Store                        Salon / Barbershop   \n",
       "15                       Building                                       Pub   \n",
       "16                     Kids Store                             Deli / Bodega   \n",
       "20                    Bus Station                        Salon / Barbershop   \n",
       "23                 Cosmetics Shop                    Furniture / Home Store   \n",
       "28                   Gourmet Shop                         Mobile Phone Shop   \n",
       "31                  Grocery Store                                      Café   \n",
       "32               Dentist's Office                                      Park   \n",
       "35                  Grocery Store                            Medical Center   \n",
       "37                            Pub                        Salon / Barbershop   \n",
       "38                College Theater                                      Café   \n",
       "39               Asian Restaurant                                       Spa   \n",
       "43               Basketball Court                     General Entertainment   \n",
       "46                          Diner                           Doctor's Office   \n",
       "49                    Pizza Place                           Doctor's Office   \n",
       "51                          Field                            Medical Center   \n",
       "52                  Grocery Store                        Miscellaneous Shop   \n",
       "54               Dentist's Office                                  Bus Line   \n",
       "57                     Shoe Store                           Automotive Shop   \n",
       "58                  Grocery Store                                    Bakery   \n",
       "59                         Office                                Restaurant   \n",
       "60                           Bank                            Medical Center   \n",
       "61                    Coffee Shop                              Dessert Shop   \n",
       "62                 Student Center                             Grocery Store   \n",
       "63                    Gas Station                                    Office   \n",
       "64             Spanish Restaurant                          Dentist's Office   \n",
       "65                     Restaurant                            Farmers Market   \n",
       "66                        Brewery                                    Bakery   \n",
       "67                    Coffee Shop                          Department Store   \n",
       "68                Automotive Shop                                   Dog Run   \n",
       "69             Salon / Barbershop                            Cosmetics Shop   \n",
       "71                          Diner                                    Bakery   \n",
       "72                       Bus Line                                     Plaza   \n",
       "75             Salon / Barbershop                                       Bar   \n",
       "76             Salon / Barbershop                         Korean Restaurant   \n",
       "77                         Office                           Assisted Living   \n",
       "78                 Farmers Market                                    Church   \n",
       "79                       Bus Line                                    Church   \n",
       "80                Coworking Space                                      Bank   \n",
       "81                     Non-Profit                               Post Office   \n",
       "83      College Academic Building                                    Church   \n",
       "84               Asian Restaurant                              Veterinarian   \n",
       "86                       Bus Line                                    Bakery   \n",
       "87                     University                        Spanish Restaurant   \n",
       "89                            Pub                        Spanish Restaurant   \n",
       "90                  Grocery Store                           Doctor's Office   \n",
       "91              Electronics Store                        Spanish Restaurant   \n",
       "92                           Park                                Nail Salon   \n",
       "93                   Tech Startup                               Auto Garage   \n",
       "94                     Playground                           Coworking Space   \n",
       "102  General College & University                                  Building   \n",
       "103                         Diner  Residential Building (Apartment / Condo)   \n",
       "105            Salon / Barbershop                              Tech Startup   \n",
       "106             Mobile Phone Shop                                Restaurant   \n",
       "108                Student Center                        Italian Restaurant   \n",
       "109                        Bakery                                    Winery   \n",
       "110                      Pharmacy                          Dentist's Office   \n",
       "111                   Pizza Place                                Food Truck   \n",
       "112                 Grocery Store                            Medical Center   \n",
       "113                   Gas Station                                    Office   \n",
       "114                   Pizza Place                                  Pharmacy   \n",
       "115                        Office                                    Church   \n",
       "117                      Pharmacy                               High School   \n",
       "119                Student Center                                       Bar   \n",
       "120           Fried Chicken Joint                             Grocery Store   \n",
       "121                    Restaurant                            Student Center   \n",
       "122                    Playground                     General Entertainment   \n",
       "126              Dentist's Office                                    Market   \n",
       "128                Medical Center                            Breakfast Spot   \n",
       "129                    Restaurant                             Moving Target   \n",
       "\n",
       "                       10th Most Common Venue  \n",
       "0                      Furniture / Home Store  \n",
       "1                                 Pizza Place  \n",
       "4                               Metro Station  \n",
       "7                                      Office  \n",
       "8                                 Coffee Shop  \n",
       "11                         Miscellaneous Shop  \n",
       "13                                       Bank  \n",
       "15                                     School  \n",
       "16                         Italian Restaurant  \n",
       "20                          Mobile Phone Shop  \n",
       "23                                  Pet Store  \n",
       "28                                Fish Market  \n",
       "31                                 Smoke Shop  \n",
       "32                         Salon / Barbershop  \n",
       "35                              Deli / Bodega  \n",
       "37                                 Nail Salon  \n",
       "38                           Dentist's Office  \n",
       "39                               Cocktail Bar  \n",
       "43                                     Office  \n",
       "46                               Optical Shop  \n",
       "49               General College & University  \n",
       "51                                    Brewery  \n",
       "52                          Electronics Store  \n",
       "54                                 Restaurant  \n",
       "57   Residential Building (Apartment / Condo)  \n",
       "58                            Automotive Shop  \n",
       "59                            Automotive Shop  \n",
       "60                                   Bus Line  \n",
       "61                             Medical Center  \n",
       "62                                     Church  \n",
       "63                             Ice Cream Shop  \n",
       "64                               Optical Shop  \n",
       "65                                     Office  \n",
       "66                                   Building  \n",
       "67                             Student Center  \n",
       "68                                   Pharmacy  \n",
       "69                             Police Station  \n",
       "71                               Veterinarian  \n",
       "72                                Pizza Place  \n",
       "75                           Dentist's Office  \n",
       "76                                     Office  \n",
       "77                                        Pub  \n",
       "78                                       Bank  \n",
       "79                                 Restaurant  \n",
       "80                            Automotive Shop  \n",
       "81                                 Restaurant  \n",
       "83                               Chiropractor  \n",
       "84                                     School  \n",
       "86                                       Food  \n",
       "87                            Laundry Service  \n",
       "89                               Optical Shop  \n",
       "90                                       Café  \n",
       "91                                    Brewery  \n",
       "92                                     School  \n",
       "93                                   Bus Line  \n",
       "94                              Grocery Store  \n",
       "102                               Snack Place  \n",
       "103                                  Dive Bar  \n",
       "105                          Sushi Restaurant  \n",
       "106                                   Brewery  \n",
       "108                        Athletics & Sports  \n",
       "109                        Spanish Restaurant  \n",
       "110                               High School  \n",
       "111  Residential Building (Apartment / Condo)  \n",
       "112                                       Gym  \n",
       "113                          Department Store  \n",
       "114                                    Office  \n",
       "115                            Student Center  \n",
       "117                               Pizza Place  \n",
       "119                            Medical Center  \n",
       "120                            Student Center  \n",
       "121                         Convenience Store  \n",
       "122                                  Bus Line  \n",
       "126                             Grocery Store  \n",
       "128                               Pizza Place  \n",
       "129                                  Hospital  "
      ]
     },
     "execution_count": 975,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "madrid_merged.loc[madrid_merged['Cluster Labels'] == 2, madrid_merged.columns[[0] + list(range(4, madrid_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Cluster 3__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 976,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>AEROPUERTO</td>\n",
       "      <td>Airport Gate</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Office</td>\n",
       "      <td>Transportation Service</td>\n",
       "      <td>Newsstand</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Neighbourhood 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "127    AEROPUERTO          Airport Gate       Airport Service   \n",
       "\n",
       "    3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "127   Rental Car Location     Accessories Store       Coworking Space   \n",
       "\n",
       "    6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "127            Restaurant        Sandwich Place                Office   \n",
       "\n",
       "      9th Most Common Venue 10th Most Common Venue  \n",
       "127  Transportation Service              Newsstand  "
      ]
     },
     "execution_count": 976,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "madrid_merged.loc[madrid_merged['Cluster Labels'] == 3, madrid_merged.columns[[0] + list(range(4, madrid_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Cluster 4__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 977,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>EL GOLOSO</td>\n",
       "      <td>College Classroom</td>\n",
       "      <td>University</td>\n",
       "      <td>College Library</td>\n",
       "      <td>College Administrative Building</td>\n",
       "      <td>College Cafeteria</td>\n",
       "      <td>College Lab</td>\n",
       "      <td>College Arts Building</td>\n",
       "      <td>College Academic Building</td>\n",
       "      <td>College Science Building</td>\n",
       "      <td>Post Office</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>CIUDAD UNIVERSITARIA</td>\n",
       "      <td>College Classroom</td>\n",
       "      <td>College Library</td>\n",
       "      <td>College Cafeteria</td>\n",
       "      <td>University</td>\n",
       "      <td>College Auditorium</td>\n",
       "      <td>College Administrative Building</td>\n",
       "      <td>College Quad</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>College Academic Building</td>\n",
       "      <td>General College &amp; University</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Neighbourhood 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "50             EL GOLOSO     College Classroom            University   \n",
       "53  CIUDAD UNIVERSITARIA     College Classroom       College Library   \n",
       "\n",
       "   3rd Most Common Venue            4th Most Common Venue  \\\n",
       "50       College Library  College Administrative Building   \n",
       "53     College Cafeteria                       University   \n",
       "\n",
       "   5th Most Common Venue            6th Most Common Venue  \\\n",
       "50     College Cafeteria                      College Lab   \n",
       "53    College Auditorium  College Administrative Building   \n",
       "\n",
       "    7th Most Common Venue      8th Most Common Venue  \\\n",
       "50  College Arts Building  College Academic Building   \n",
       "53           College Quad                Music Venue   \n",
       "\n",
       "        9th Most Common Venue        10th Most Common Venue  \n",
       "50   College Science Building                   Post Office  \n",
       "53  College Academic Building  General College & University  "
      ]
     },
     "execution_count": 977,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "madrid_merged.loc[madrid_merged['Cluster Labels'] == 4, madrid_merged.columns[[0] + list(range(4, madrid_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Selecting a cluster__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By exploring the most frequent venues of each of the five clusters we can describe the clusters as follows:\n",
    "\n",
    "| Cluster | Type of area | Most popular venues               |\n",
    "| :------ | :----------: | :-------------------------------: |\n",
    "|  0      | Recreation   | Restaurants, bars, shops          |\n",
    "|  1      | Business     | Offices, co-working spaces        |\n",
    "|  2      | Residential  | Bars, barber shops, banks         |\n",
    "|  3      | Airport      | Airport gates, rental cars        |\n",
    "|  4      | Student      | Universities, colleges, libraries |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Therefore we will analyse the cluster 2 in detail since this is the one that refers to residential areas. This cluster contains 76 neighbourhoods."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 978,
   "metadata": {},
   "outputs": [],
   "source": [
    "# From now on, work only with residential neighbourhoods\n",
    "residential_cluster_id = 2\n",
    "df_madrid_residential = df_madrid[df_madrid['Neighbourhood'].isin(madrid_merged.loc[madrid_merged['Cluster Labels'] == residential_cluster_id, 'Neighbourhood'])]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Counting supermarkets in residential neighbourhoods__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 982,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Category ID in Foursquare API\n",
    "supermarket_category = '52f2ab2ebcbc57f1066b8b46'\n",
    "\n",
    "# Function to count the number of market-like venues in a given neighbourhood\n",
    "def getMarketVenues(row):\n",
    "    \n",
    "    # create the API request URL\n",
    "    url = 'https://api.foursquare.com/v2/venues/search?&client_id={}&client_secret={}&v={}&ll={},{}&categoryId={}&radius={}&limit={}'.format(\n",
    "        CLIENT_ID, \n",
    "        CLIENT_SECRET, \n",
    "        VERSION, \n",
    "        row['Latitude'], \n",
    "        row['Longitude'],\n",
    "        supermarket_category,\n",
    "        radius, \n",
    "        LIMIT)\n",
    "\n",
    "    # make the GET request and get get length of venues\n",
    "    count = len(requests.get(url).json()[\"response\"]['venues'])\n",
    "\n",
    "    # return count\n",
    "    return pd.Series(count)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Run the above function on each residential neighbourhood__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 983,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-983-653b1f31852b>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_madrid_residential['Number of Markets'] = df_madrid_residential.apply(getMarketVenues, axis=1)\n"
     ]
    }
   ],
   "source": [
    "df_madrid_residential['Number of Markets'] = df_madrid_residential.apply(getMarketVenues, axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Census analysis <a class=\"anchor\" id=\"census-analysis\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Merge dataframes__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Merge dataframes with household income and population into the residential dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 984,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(76, 5)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Number of Markets</th>\n",
       "      <th>Income</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PALACIO</td>\n",
       "      <td>40.41517</td>\n",
       "      <td>-3.71273</td>\n",
       "      <td>33</td>\n",
       "      <td>34675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>EMBAJADORES</td>\n",
       "      <td>40.40803</td>\n",
       "      <td>-3.70067</td>\n",
       "      <td>34</td>\n",
       "      <td>25999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>UNIVERSIDAD</td>\n",
       "      <td>40.42565</td>\n",
       "      <td>-3.70726</td>\n",
       "      <td>49</td>\n",
       "      <td>30701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ACACIAS</td>\n",
       "      <td>40.40137</td>\n",
       "      <td>-3.70669</td>\n",
       "      <td>21</td>\n",
       "      <td>44669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CHOPERA</td>\n",
       "      <td>40.39536</td>\n",
       "      <td>-3.69833</td>\n",
       "      <td>20</td>\n",
       "      <td>31933</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighbourhood  Latitude  Longitude  Number of Markets  Income\n",
       "0       PALACIO  40.41517   -3.71273                 33   34675\n",
       "1   EMBAJADORES  40.40803   -3.70067                 34   25999\n",
       "2   UNIVERSIDAD  40.42565   -3.70726                 49   30701\n",
       "3       ACACIAS  40.40137   -3.70669                 21   44669\n",
       "4       CHOPERA  40.39536   -3.69833                 20   31933"
      ]
     },
     "execution_count": 984,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Left join with income dataframe\n",
    "df_madrid_residential = df_madrid_residential.merge(df_madrid_income, how='left', on='Neighbourhood')\n",
    "print(df_madrid_residential.shape)\n",
    "df_madrid_residential.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 985,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(76, 6)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Number of Markets</th>\n",
       "      <th>Income</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PALACIO</td>\n",
       "      <td>40.41517</td>\n",
       "      <td>-3.71273</td>\n",
       "      <td>33</td>\n",
       "      <td>34675</td>\n",
       "      <td>23691.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>EMBAJADORES</td>\n",
       "      <td>40.40803</td>\n",
       "      <td>-3.70067</td>\n",
       "      <td>34</td>\n",
       "      <td>25999</td>\n",
       "      <td>47460.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>UNIVERSIDAD</td>\n",
       "      <td>40.42565</td>\n",
       "      <td>-3.70726</td>\n",
       "      <td>49</td>\n",
       "      <td>30701</td>\n",
       "      <td>33527.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ACACIAS</td>\n",
       "      <td>40.40137</td>\n",
       "      <td>-3.70669</td>\n",
       "      <td>21</td>\n",
       "      <td>44669</td>\n",
       "      <td>36690.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CHOPERA</td>\n",
       "      <td>40.39536</td>\n",
       "      <td>-3.69833</td>\n",
       "      <td>20</td>\n",
       "      <td>31933</td>\n",
       "      <td>20241.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighbourhood  Latitude  Longitude  Number of Markets  Income  Population\n",
       "0       PALACIO  40.41517   -3.71273                 33   34675     23691.0\n",
       "1   EMBAJADORES  40.40803   -3.70067                 34   25999     47460.0\n",
       "2   UNIVERSIDAD  40.42565   -3.70726                 49   30701     33527.0\n",
       "3       ACACIAS  40.40137   -3.70669                 21   44669     36690.0\n",
       "4       CHOPERA  40.39536   -3.69833                 20   31933     20241.0"
      ]
     },
     "execution_count": 985,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Left join with population dataframe\n",
    "df_madrid_residential = df_madrid_residential.merge(df_madrid_population, how='left', on='Neighbourhood')\n",
    "print(df_madrid_residential.shape)\n",
    "df_madrid_residential.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Calculate proportion of markets__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Find how many people per one market live in each residential neighbourhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 999,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(76, 7)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Number of Markets</th>\n",
       "      <th>Income</th>\n",
       "      <th>Population</th>\n",
       "      <th>People per Market</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PALACIO</td>\n",
       "      <td>40.41517</td>\n",
       "      <td>-3.71273</td>\n",
       "      <td>33</td>\n",
       "      <td>34675</td>\n",
       "      <td>23691.0</td>\n",
       "      <td>717.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>EMBAJADORES</td>\n",
       "      <td>40.40803</td>\n",
       "      <td>-3.70067</td>\n",
       "      <td>34</td>\n",
       "      <td>25999</td>\n",
       "      <td>47460.0</td>\n",
       "      <td>1395.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>UNIVERSIDAD</td>\n",
       "      <td>40.42565</td>\n",
       "      <td>-3.70726</td>\n",
       "      <td>49</td>\n",
       "      <td>30701</td>\n",
       "      <td>33527.0</td>\n",
       "      <td>684.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ACACIAS</td>\n",
       "      <td>40.40137</td>\n",
       "      <td>-3.70669</td>\n",
       "      <td>21</td>\n",
       "      <td>44669</td>\n",
       "      <td>36690.0</td>\n",
       "      <td>1747.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CHOPERA</td>\n",
       "      <td>40.39536</td>\n",
       "      <td>-3.69833</td>\n",
       "      <td>20</td>\n",
       "      <td>31933</td>\n",
       "      <td>20241.0</td>\n",
       "      <td>1012.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighbourhood  Latitude  Longitude  Number of Markets  Income  Population  \\\n",
       "0       PALACIO  40.41517   -3.71273                 33   34675     23691.0   \n",
       "1   EMBAJADORES  40.40803   -3.70067                 34   25999     47460.0   \n",
       "2   UNIVERSIDAD  40.42565   -3.70726                 49   30701     33527.0   \n",
       "3       ACACIAS  40.40137   -3.70669                 21   44669     36690.0   \n",
       "4       CHOPERA  40.39536   -3.69833                 20   31933     20241.0   \n",
       "\n",
       "   People per Market  \n",
       "0              717.0  \n",
       "1             1395.0  \n",
       "2              684.0  \n",
       "3             1747.0  \n",
       "4             1012.0  "
      ]
     },
     "execution_count": 999,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_madrid_residential['People per Market'] = df_madrid_residential.apply(lambda x: (x['Population'] // x['Number of Markets']) if x['Number of Markets'] > 0 else x['Population'], axis=1)\n",
    "print(df_madrid_residential.shape)\n",
    "df_madrid_residential.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Scatter plot with income vs people per market__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 995,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to draw a scatter plot of residential neighbourhoods by household income and population per market.\n",
    "def scatter_text(x, y, text_column, data, title, xlabel, ylabel):\n",
    "    # Create the scatter plot\n",
    "    p1 = sns.scatterplot(x, y, data=data, size=8, legend=False)\n",
    "    # Add text besides each point\n",
    "    texts = [p1.text(data[x][line], data[y][line], \n",
    "             data[text_column][line], horizontalalignment='left', \n",
    "             size='large', color='blue') for line in range(0,data.shape[0])]\n",
    "    adjust_text(texts)\n",
    "    # Set title and axis labels\n",
    "    plt.title(title, size=18)\n",
    "    plt.xlabel(xlabel, size=14)\n",
    "    plt.ylabel(ylabel, size=14)\n",
    "    return p1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 996,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "posx and posy should be finite values\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x13671c310>"
      ]
     },
     "execution_count": 996,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "posx and posy should be finite values\n",
      "posx and posy should be finite values\n"
     ]
    },
    {
     "data": {
      "image/png": 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zpDp1pPz85DZrlh/v0UNq0KDksdKuO3So9Nvf+s+jR0s5OSXPvWyZH+/YUWrVSlq/Pj7/scf8mkuWJM8xkxo2jL+fOdOvlZubPO6ww+Lnevxx6eCD/d5btZJOO01au7aMXwQAAACAGoNkFID06N/fWy0zdKg0ZowUQnL/mDHSoEFS3bpSYaHUvLm/VkT//p6AWbVKeu456euvpa5dkxNSbdpI69Ylt+7d48dHjCj92M50717y3G3axI9v2yY98EDJeR06JM+RpA8+iL8/5hjvu/ba5HEffOD9r78u3XCDNHas3//HH0v9+pU/bgAAAAC7NpJRANLjiy+81TJ9+3qyaObMeN9330kvvCANHixt2CBNmCA99JD06afSnDkVv0a9elLnztIzz0h77indc0/64q+Ka66Rhg+XVq9O73nffdcTYYcf7u+bN5eGDPEqKQAAAAA1H8koAOlx3nneapm8PK/aKSqK940f70vMDjtMmjjRl6Cdc44v6UscV1E5OVKfPsmJr2wqKPBlecOHp/e8Rx4pvfyydPPN0ptvSps3p/f8AAAAALKLZBQAVNGQIdKzz0obN/r7oiLvk3xpXv/+nkgaONCXnm3dWvlrtWnjlVgxy5ZJTZsmt8R9nC6/PN7/X/9VsWu9/XbyeTt1Kjnm1lulP/1JWrGi4vcyfHjy+WOf2THHSH/9q/T++75XVIsW0pVXStu3V/waAAAAAHY9JKMAoIqOPtqXzz3/vPSf//gys4EDfdXia6/53lGSVzVt2iT97W+Vv9bSpb5sLaZNG18ml9gaNowff/DBeP/773tf3eg5qsWTYlu3+pLAmG7dks/72Wcl4zn0UOn006W77qr4vVx9dfL5E/fUOuUUacoUT7w9/7xvqP7YYxW/BgAAAIBdD8koAEiDwYO9ImrMGOnEE/0JcGPGSDt2SL17+5P19tvPk1GVXaq3Y4cnaGIbgFfW3nt70mnx4uT+RYukffap+PluuUV69FFPlKVbnTpSz57S8cdL8+en//wAAAAAMo9kFACkweDB0iuveFImttysqMj3PZo7N94mTvTKqG+/jc/dvNmTVLG2Y0fyubdu9SfK/fSn/kS9K6+sWqw5OdJZZ0k33uhxbN3qywc/+sgrkipq//19KeKDD1Ytrpjnn5fGjfON4EOQZs/2J+x165ae8wMAAADILpJRANLjqqu81VIdO0pHHeX7NZ1xhu+3tHixdOmlXhUVa2ec4cmbsWPjc/PzfSP0WHv1Ve9/5hk/1rSpz2vRQnrvPV+aF7NsmY9JbBMn7jzekSN9ud+PfiTttZc0YoQnyVq1io+ZNavkud99N/X5bropea+q8rj77uRzt2zp/c2aeVLvgAOkxo2lc8/1J/fFljsCAAAAqNkshJDtGLKqoKAgzKnMs9YB1Epbtu3Qhi3b1LB+jurl5GQ7HAAAAADYJZnZeyGEglTHqIwCkB4LFnjbja3ZuFVPv/O5Liycoxfnfa11m6vwWDwAAAAAqKXqZjsAALuJX/zCX2fMyGoY1em7DVs0bMpHkqT3l3ynN687Xvn16+1kFgAAAAAgEZVRAFBOdeuYzOI/17HsxgMAAAAANRGVUQBQTk3y6ukvQ36sSXOX6txu+6jpHrnZDgkAAAAAahySUUi7Sy6R2raV9t1XGjNGmjo12xEB6dGoQT0dd/BeOuaAlqqbQ2EpAAAAAFQGySik3ciR8Z8HDsxeHEB1IREFAAAAAJXHv6hqoR49pGbNpM2b431Dh0q5uVJ+vtS8udSrl/TJJ8nzvvpK+vnPpTZtfNx++/m82LgZM6R27VJf77HH/Odhw6R69Xx+rDVtGh9rJi1cWPIco0dLRx9d+v00aJB8zt6948fvvNOrtPLzPb7+/Uv/bFAFv/2tNwAAAAAAykAyqpZZvFiaOdOTPpMnJx+79lpp3Tpp6VJfZnfhhfFj334rHXWUtGGDz1+7Vnr/fenYY6Vp0yoWQ//+fp1YW726yrelESOSzzllivcXFvpSwVde8f45c6SePat+PaRwwgneAAAAAAAoA8v0apmiIqlbN+nIIz1Rc845Jcfk5Un9+iUfu+8+qXFjT+zUiVKYTZtK55+fmbgr6913pZNOkjp18vetW0sXXZTdmHZbc+f6a5cu2Y0DAAAAALBLIxlVyxQVSVde6cmobt2k5culVq2Sx6xfL40dK+2/f7zvlVekM8+MJ6Jqim7dpMsv90qv446TDj9cysnJdlS7qSuu8NcZM7IaBgAAAABg11bDUguoijfekD7/3Kueunb1aqGnn44fHz7cq50aNfKxY8bEj61c6VVFMZMnx8eeeGLF4hg/3ufG2nHHVe2+JE84JZ7zd7/z/nPPlf70J+nll31J4V57SXfdVfXrAQAAAACAyiEZVYsUFnriqGVLfz9woPfFXH2179+0eLEv1VuwIH6sRQvfwDzmjDN87H33SVu2eF/dutLWrSWvu3Wrb1oe06+fz421116r+r09+GDyOW+7LX5s0CCv7Fq9Wvrzn6WbbvLkFAAAAAAAyDySUbXExo1ekfT6617h1Lq1J5I++MBbog4dpAcekH71K58n+abfkyZJO3aUfo0OHbyCat26eF8IXo21zz7pv6eKqlfP98H60Y+k+fOzHQ0AAAAAALUTyahaYtIk3yvpo498n+m5c6WPP5aOOcb3kSquVy+pTRtp1Ch/f+WV0nffSeedJ332mSeZ1q6N71kteTLqyCOl667zhNTmzdIf/+gVU926lT/WLVukTZvibft27w8huX/Tpp2fa/Ro6W9/81h37JCmTpU+/NDjBMrSo4fUrJl/jxMNHSr99rdlzx061L/3y5Yl9w8b5k+yfPDB5P777/f+YcP8/YwZvj9bfn5ymzUrHluDBr5MtnFjX3Z7110lYy0rllTjcnP9nI0aSYceKl1/vbRmTXzM6NH+vyPF4yrt3CH4/wYccIBXW3boIP3mN8lxfvmldNZZXrHZpIn0wx/6dWKfQ7t2Jc/bo4f02GP+c+wzffbZ+PFt27xv8eLkebGxs2eX/VkAAAAAqF4ko2qJwkJ/8l2HDvHKqNatpcsuk556yv/xVtw110h33+3/cGzZUnr7bf8H8NFH+z9Wu3TxJM/DD8fnPPOM9M03vvl527bS9OnSiy/6vMQxxf8x+8038eOdO/s/XGPtiSe8/623kvvz8uJxX3ZZ8vm6dvX+xo2lO+/0+27aVLr2Wo/36KPT+/lC/kHfeWe2o0iLxYulmTM9cTF5csXmrl8vTZzoiZWnnip5/MADk5fHSp4QPvDA5L42bTypm9i6d48fHzHC//x99ZV0zz3SuHHSqad6Aqi8sRR37bV+zhUr/M/d229LP/mJnyeme/eScbVpk/p8l1/uCe2iIj/v1KnSq6/6Ut2Y886T2rf3Cspvv/WxxR+qsDPNm/vy21jiOpUQfB+85s1Lfv4AAAAAMoun6e3G1m3eqg2btysvN0cvvVQv5Zh+/ZL/YZiof39vMW3aSI8/XvY127dPrlAobtiwePVHKon/kC5u6NDU/WU9vO1//scbMuCoo7IdQdoUFXk135FHeuLinHPKP3fiRE98Xn219OijntRN9OMfS++95xV6nTv768aN3l8ZDRt6pdDkydLBB3sl4Omnly+W0jRo4PFMnuxJsiee8IRvRXz6qTRypFdzHXGE93Xu7DHtv78npY4/Xnr3XV8y3LChjzn88IpdR5JOPtmX3j75pDRkSOoxM2d6Bdejj/oS5Pvu80owAAAAAJlHZdRuavWGLXrk9f/otD+9oXv+/m+tWr8l2yFhd/fWW952A0VFvvH9oEG+2f3y5eWfW1go/fSn0oAB0iefSO+/X3LMeefFl8cWFkqDB1c95g4dpIICT7pUJJayNGrkS3YTz1le06f7ErtYIiqmfXtP9E2b5u+7dZMuvdQru5Ysqfh1JK9gu+026ZZbUj9EQfLPonfveIL9hRcqdy0AAAAAVUcyaje1dtM2/enVhVqxdrNGv7VYazaQjEI1u+EGbzXcG2/4krF+/Xy5Z6dO0tNPl2/ukiX+dMiBA32pWc+eqZeEnXuuNHasJ07GjfP3xS1b5lVNiS1xuVwqbdpIq1ZVLJadSTyn5Ev3EmPq1Cn1vJUrpb33Tn1s7739uOSVlMcc48mkfff15b/vvlvxOM84Q9pzz/heUok2bPDrDBzoDzI4+2yW6gEAAADZRDJqN1Uvp44a5uZIkurXraO8XFZkAuVRWCideKLvkyZ5AqO8iYsxY6RDDvGEiuSVVU8/XbJap0MHX6p2ww2+uXf79iXP1aaNtHp1costZSvN0qW+J1JFYtmZxHNKXsmUGNNnn6We17Kl72eVyldfxT/fZs188/UPP/QKtC5dpL59fclu3bqp49261ZNKxd1+u3THHSUfbvDcc36uU0/194MG+f5VK1aUfe8AAAAAqgcZit1Ui/xcTb7saE3/ZLmOPXBPNdsj9Z5RAOI2bpTGj/eNsFu39r7Nmz3p8sEH0mGHlT2/qMgrkmJzt23zTbmnTvXKnUSDB0sXXBDfoL+qvvjC96K67rqKx1KadeukV16Rbryx4vEcf7x0ySX+5LrEpXpffOHVVb/7Xck5LVv6/laFhV6N1aGDV1CtW+cPJpA8SfX559I++5Sc36uXJ/lGjkzuLyz0c3ToED/H1q1enXb55RW/NwAAAABVQ2XUbqpeTh112itfF/13Jx3UurHq18vJdkjALm/SJCknR/roI2nuXG8ff+zLyGJ7PEmerNq0Kd62bPGNuj/7zJMvsbnz55deWdW/v/T3v5f+AIHy2rBBev11qU8fT/qcemrFYylu82ZPbPXt65VL559f8bgOPFD65S+9Cuntt/0z+/BD6ayzpBNO8CZ58mz+fE+WxZ7Ouf/+UosWnjw68kgfs26dx/XHP3qVU7duqa97xx3+FNCYpUt9/6oXXoh/Fh984OdkqR4AAACQHSSjACBSWOiJlw4dvKIo1i67THrqKU+YSL6sLC8v3o4/3uf26SP98IfJc3/1K0+EJO67JPm8E07w11SWLfNqoMQ2cWL8+GWX+QbjrVpJV1zhSZ6XXpLq1Kl4LDF33+3nbN7cK7e6dvU96ROXB86aVTKu0vZ4GjFC+tnPfE+s/Hx/6l2PHsn3sWGDdOaZvv/Ufvt51dPkyfHjzzwjffONJ6jatvXE0osv+hP/UvnJT5IrscaM8aV/J56Y/Flcfrn0r395IgwAAABAZlkIIdsxZFVBQUGYM2dOtsMAar65c/01tkkRAAAAAKDWMrP3QggFqY6xZxSA9KhBSait27fry+826e3/fKujOrVQ26Z5qptDoSgAAAAAZALJKADp8cor/hrbDGgX9u26rTr1gZnauHW7GtWvq1euOlatGpey7gsAAAAAkFYkowCkx+23+2sNSEZt3LpdG7dulySt3bxNm6KfAQAAAADVj3UpAGqdJnn11K+gnRrm5mhI933UuEG9bIcEAAAAALUGlVEAap3mDXN142mH6OqTDlL9ujlqkkcyCgAAAAAyhWQUgFqpSV5utkMAAAAAgFqJZXoAAAAAAADIGCqjAKTHI49kOwIAAAAAQA1AZVQ5dewYf3J9zIwZUrt28fcffiideKLUrJnUtKnUtav04ovSU09J+fne8vKkOnXi7/Pz4/OHDpXq1pWWLcvADQHpdtBB3gAAAAAAKAPJqDTq3Vvq1Utavlz65hvpwQelxo2lQYOkdeu8TZ0qtWkTf79unc9dv16aOFFq0sSTV0CNM2WKNwAAAAAAylChZXpmVl9SG0l5klaEEFZUS1Q10MqV0qJF0s9/LuVG+yL/5Cflnz9xoldTXX219Oij0jXXVE+cQLW55x5/7d07u3EAAAAAAHZpO62MMrNGZnaxmf1D0hpJCyXNl/S1mX1hZo+a2Y+rO9BdXYsW0v77S+eeK02a5NVRFVFYKP30p9KAAdInn0jvv189cQIAAAAAAGRTmckoM/u1pMWSLpA0TVIfSV0kHSipu6Sb5dVV08zsJTM7oFqj3YWZSa+95ntLXXWVtPfe0n//t/Tppzufu2SJzx04UGrVSurZ05NT1WHcOOnII6WGDaW99vKfR46UQvDjb70lHX+81KiRLxns3Vv66CM/NmiQdMEFyed7/XVPxH31lb+fMcM/i7vvrp74AQAAAABAzbazyqijJB0bQvhxCOG2EMLLIYR5IYSFIYTZIYS/hBDOl9RK0mRJx1Z7xLuwdu2kESOkzz6TPv/cEz6DB+983pgx0iGHSF26+PtBg6Snn5a2bk1vfPfcI/3qV74E8OuvvXrrz3+W3nxT2rJFmjXLN2Dv08c3UV+0SDrsMF9u+J//+B5YL74oTZvm59u0yZcl3nOPJ98kT6I1b159yTQAAAAAAFCzlZmMCiGcE0KYv7OThBA2hxBGhhAeK2ucmS02s3lmNtfM5kR9zc1smpl9Gr02Sxh/vZktNLMFZnZSQn/X6DwLzexBM7Oov76ZPRP1v2NmHXcWe3Vp31669FJp/k4/PamoyJM9rVt7u/JK34Nq6tT0xbNmjXTTTV4FdfbZXvlkJh1+uG+YXr++dO21njz71a/8ePPm0u23S926ScOGeQXUn/4kXXSRb7h+yy1Sp07+FEBJ2rBBmjBBeughrwibMyd98QMAAAAAgN1DuZ6mZ2aNS+nPLe1YGY4LIXQJIRRE738jaXoI4QBJ06P3MrMfSBogqbOkkyWNNLOcaM7Dki6SdEDUTo76L5T0XQhhf0n3SfpDBWMr09atXg0Ua9u2xY999510883SwoXSjh2eTPrLXzyRU5ZZs7ySavZsae5cb/Pn+5K9dFYXzZolbd7sVU+pbNjgS/TOOafksX794tVQ55wjde3q+1uNGiU98kh83MSJUn6+jznpJE+yoRYZM8YbAAAAAABlKM8G5gMljS7lcGNJ75pZvyrE0EdSLO1SKKlvQv+4qOpqkXzj9CPMbG9JjUMIs0IIQVJRsTmxc02Q1DNWNZUOp54q5eXF27Bh8WO5udLixdIJJ0iNG0uHHurVRqNHl33OwkJPEP3wh/HKqNatvTrphRekVavSE/vKlVLLsQbx0QAAIABJREFUllLdhOcnHnWUP8EvL8+rmHbsiC+3S7T33j4/5qGHpFdf9UqrDh2S76V/fyknx5NpY8emf6khdmHt23sDAAAAAKAM5amMulLSQ5JkZoVm1uT/2Dvv8Ciq/Y2/Jz0kIZCE3gIigoig5EpVEAuIUqRL94r3p6CooKCggIqFZke9wJUkKEqJdBERAakKIh1RkFAjECAkIYS08/vjzbizu7ObXUgMhO/neebJ7pnTZjIzyXnnW4wdWuvk/P0jPBxPA/hOKfWLUuo/+WUVtNZJ+f0lASifX14FwFFT22P5ZVXyPzuW27XRWueA2f8iHSehlPqPUmqrUmrr6dOnPZp4YiKDfJu39euBY/kzCQmhGJOYCKSnMybTl18CVarY99O6ta0NwJhNCQnO491xBy2ZIiI8ml6BREZSUDJbc23cCKSkcF9aGuDjYwtEbiYpiUKWQYUK/F6/vq3s6FEGYe/Th987daL12LJlhTN/4RpgzhxugiAIgiAIgiAIguAGT8SouqBVEgA8DCBSKfWZyT1vD4B6Ho7XQmt9O4AHAAxRSt3lpq6VRZN2U+6ujX2B1tO01jFa65hy5coVNOcSQbNmtNRatMh6f0gI68yb57xv7lxm+HPHrFm0rOrQgZZdtWpRjBJXveuITz7hJgiCIAiCIAiCIAhu8Cu4Ck6AcZkO539XALoDGA8gFcy4d8KTwbTWJ/J/nlJKLQBwB4CTSqlKWuukfBe8U/nVjwEw+/xUzR/nWP5nx3Jzm2NKKT8A4QAKydHt2qZMGca0GjyYVl3t2gGlSgE7dzIYOQC8/TZjPdWtCzz6KK2opkxhvKktW9z3Hx/P/p94wlb288+MH3XmDK2vBEEQBEEQBEEQBEEQPLGMmg/gbaWUYUL0txWSUqoTGCj8v5YtTSilQpRSYcZnAPcD2A1gMYAB+dUGADBsdxYD6JWfIa8mKIj9nO/Kl6aUapofD6q/Qxujr24AfsiPKyWA2fLeeQeYOBEoX57udv/3f8CECYwf1bIlsGIF8PXXjBNVowbw6690R7zxRtf9bt5M98QhQ+zjXnXsCNSuTXdFQRAEQRAEQRAEQRAEAFAFaTX5AtIyADEAAgCsBXAXgAwAwQAmaK1fKXAgpWoBWJD/1Q/AbK31G0qpSABzAVQHcARAd6312fw2owH8G0AOgGe11svzy2PAoOrBAJYDeFprrZVSQQBmAbgNtIjqpbX+0928YmJi9NatWwuaviAIBdG6NX+uWVOcsxAEQRAEQRAEQRCuApRSv2itY6z2Feimp7VOU0rdDaA9gHkAzoHWUW8A+EJrfdyTSeSLQg0tys8AsIxIpLV+I38cx/KtAG6xKM8EXQgFAKfSMhG7IRERIQHocnsVRIQEFveUBEEQBEEQBEEQBEG4zvEkZhS01rkAliilvgUwPL/dV54KUcI/T2pmNkYv2IWVexmCKzdP4/9a3VDMsxJKNPPnF/cMBEEQBEEQBEEQhGsAT2JG/Y3WurPW+nD+zyNFNSnBc2bPBmJigNBQxnl64AHGeMrN1fjukxo492MdAMDJ1EwAjO2kFIOTm2ndGihbFrh0id+feIJ9hoYCAQGAv7/t+wMP2PoxyqKjGQDdkdhYoEEDBkuvWBF48kkgJcX9Mf38M9C+PYOuR0QAd9wBzJxpX+fQIcDHhwHZHVGK8bDMx5iTwzhZypRvsXVrYMYMfl6zhvuGDLHvq2VLHoPBsWNAnz4MyB4SwrktXWrfZtEioFEjoHRpICqKmQgTE90fc4kgKoqbIAiCIAiCIAiCILjBrRillJqhlKpRUCeK9FFK9Su8qQkF8c47wLPPAqNGASdPAkeOUJxZtAgoGxKAmBplUaF0IFrVicITbqyiEhOBdesoxixezLJPPwXS07mNGgX07Gn7vny5rW1KCsvmzwdefx1YudK2b8oUYORIYNIk4Px5Bjo/fBi47z4gK8t6Lps2AW3aAK1aAQcOMBPfJ5/Yjwkwe1/ZssBXX9kENDNlyti3+eYb1ndHSAj7dSUcnT1LcSogANizB0hOBp57Dujd22YUdOAA0L8/j/38eYpmgwdTOCvxxMbaK3eCIBQK0dFAcDCF/4oVgYED+dw12LiRz82wMCA8HOjQAdi7176PN98EatZkH1Wr8pnuSGws/w7Mneu8z5P2giAIgiAIguApBS2RjwHYqZT6Tin1VH4GuxpKqQpKqbpKqS5KqXfy6w0G8GuRz1gAQKFjzBhg6lSgSxcKKf7+XIRMmsQ6YUH+6HBrZXzwyG0oXzrIZV/x8UDTplzgxMVd3nxiYoD69YHt2/k9NRUYOxb48EOgXTvOLTqai5zDh4HPP7fu54UXgAEDKGJFRXFh1Lix8+IoPh4YP579Llni3E+/fqxjrt+/v/tjKFOG5+DVV633v/suF2L/+x8XhMHBwCOPAKNHA8OHA1rz+GvWpDWUUlwcdu0KVK/ufuwSgYhRglBkLFlCAWr7dmY5festlm/aBNx/P9CpE3DiBAXwhg2BFi2AP/PTd8TFAbNmAd9/zz62buUzypG4OFqjOv4d8LS9IAiCIAiCIHiKWzFKaz0OQG0AawD8H4ANAP4EcALAHgCfgVnwHtVat9Ba7y7KyQo2Nm0CMjOBhx92Xy84wA/hwQFu68TH0/WsTx9gxQpaWXnL5s3A7t1A7dr8vnEj59eli309w83PbEFlkJHB4+rWzf1Y69bRXa5XL6BHD3vRyaBzZ+DHH2m5lZLCNp06FXwco0cDCQnA/v3O+1aupLDkaOXUowet0n7/Hbj9duC332gxtXq1vfWCIAjClVKxItC2rU34HzGCQvszz1D8joigUN+0KTBuHOts2cI2N9xg6+M//7Hv9/BhYO1aYNo0578DnrQXBEEQBEEQBG8o0HlIa31aa/2m1roBgCgAtwNoAeAmAGW11t201t8V8TwFB86coeWQn0ch6F2zfj0XIT160ALphhsYh8pToqJoIdSsGd3ROndmeXKy6/lVqsT9jpw7B+Tlcb874uIoaJUtSxe55cuBU6fs6wQF0Upszhy68nXsyLKCqFiR8bLGjHHel5xsPTejLDkZqFWL8aeOH+c5jYpydqkRBEG4XI4d4zOvdm0K+Bs3At0tcsj26GET/Zs2pWg/aRKtmnJznevHx9PCtWtXoF494IsvbPs8aS8IgiAIgiAI3uBtAPNzWusdWuvNWusDWmtdVBMT3BMZSfHDMRC5GT8/IDvbviw7m5Y9hnVPXBxdPIy40717e+eql5xMoWXyZIowxnhRUa7nl5RkHee6bFnOKynJ9XgXLwLz5tGKC6AIVr26tYDWvz8XUJ646JkZOZKWATt22JdHRVnPzSgzjqlpU7oVnj5Ni6wffwTeeMPz8QVBEBzp3JmWT9WqMRnDq68yjp0rAd8s+vftS5fpFSsYj698eeeEE/HxfP4Dzn8HPGkvCIIgCIIgCN5wPYRVLpE0a0ZLn4ULXdepXt05GPehQ1zM+PhQ2Jk7l64ZFStye/ddijCOQow7fH0ZMykoCPj4Y9v8AgOBr7+2r3vhAt/qW8UbKVWK7RISXI+1YAHjUQ0ebJvz8ePWrnp33kmh6ORJBh73lMhIBoZ/5RX78nvv5dzy8uzL587lOa1Tx7mvf/2Lroq7xYFVEIQrYOFCIC2Nov9vv1FocifgO4r+ffow5lNKChNUjBlDcQkANmzg34Zevfi9d29g1y6bK2BB7QVBEARBEATBW0SMukYJDwdeew0YMgRYsEDj92MZ+OSHg/goLh3PDqMPRdeuwLJlwHff0a3ixAnGEjEWHAsXUkjau5eLju3bgX37KOJYiTsF8eKLwMSJjBUVHs4A5k8/DXz7LS2mEhPpTlK1KgOMWzFxImNgT5pEV0SAwpgx57g44N//ti2Utm/nQmr7dpaZUYpBfxcv5mdvGDaM7i/79tnKnnuOQthjjwF//cXj/PJLWj1NmsQx1q8Hpk+3uQ3+9hvHb9rUu/GvSb75hpsgCEVGq1Z0/X3+eSauaNaM1qKOzJ1rLfr7+/M5fOutNpE8Lo4JGBo1osDfpAnLrf4OWLUXBEEQBEEQBG+5wohDQnEybBhQoQLw6usau3YHAgFVEFgxFbM+8AUQjPr1KZa89BJw4ACzxfXoQZEI4ALk0UedM7099RQwdCgwYYJ3MakefJBv6qdPpwg1YgStjJ5/Hjh4EChdmq4mX3xBqykrmjcHfviBcxw/nmLZjTdSdDt+HFi1ipmkKla0talYkRn74uLoLmimfn3P52+mdGnOf+RIW1lkJMWmkSOBm28GLl3iz1mzbMHRy5Sh+PTyy7QCi4piCvQRIy5vHtcUpUoV9wwE4brg2WeZnXT7drrLtW0L1K3L53lODjBlCpNBbNnC+rGxQLlywF13UcBasQLYs4eiU2Ymhatp0/gMN0hI4AuPiROZ/dRVe0EQBEEQBEG4HNT1HvYpJiZGb926tbincUUknb+IZm/98Pf3+U80Q0x0RDHOSLguMXw0Bw8u3nkIQgkjOhqYMYOuwgZPPkkLzIQEiuQvv8zg4j4+tG6dMAG45RbW/fprClR799JKtkYNulYPHMgED889x4yg/v62/jMzacUaGwtkZbluLwiCIAiCIAiuUEr9orWOsdrntZueUipKKdVEKeXCtkX4pwkN9MP4zregfFggOjasjJpRIcU9JSGf6GjGWTETG2sfwyo2FmjQgIZFFStykZmSYts/bhwXiaGhtLxq3pxWD2Zmz2YmrNBQBi5+4AEuUB3HVYpWEGYSE1luDja/cSPQpg0DJoeHMzPh3r0FHOzcuc6dC4JwxSQm2gtRAPDJJ7b4ei1bMpZUejpdiZctswlRAOPWbdjAjKWpqXRpNoSkXr0YX8osRAGMAZicDDz0kPv2giAIgiAIgnA5eCxGKaXClFJzAZwCsBFAlfzyT5VS44pmeoInhAX5o8vtVbB0aEu83rk+IkNFJ7xWmDKFbn+TJgHnzwObNwOHDwP33UdrBIOePbnQTE4G7r7bPpX7O+/QbWfUKAZrP3KExkmLFtmPFRcHREQUnC1x0yZmWOzUiXHGDh0CGjYEWrQA/vyz8I5dEARBEARBEARBuD7xxjJqAihA3Q7goql8KYCHC3NSgveUCvBD+bAghAcHFPdUBA9JTWVsrA8/ZMwrf39aUs2dS0Hq88+d2/j5MavV8ePA6dMUsMaMAaZOpfVCSAj76dCBApfB4cPMmjhtGuO9nDzpel4jRgD9+wPPPEPLqIgIxu9q2pRWWoIgCIIgCIIgCIJwJXgjRnUE8KzWejsAc6CpfQBqFeqsBOE6YONGxmXp0sW+PDSUbnYrVzq3ycpihqvISAaL37SJfTxcgBwcH083vq5dgXr1GETeiowMzstseWXQo4f1nARBEARBEARBEATBG7wRo8oCOGNRHgYgt3CmIwglj86dGevJ2Iz43snJzLZnlbGwUiXuN5g7l22Dg5mtcP58tjtzxnUfZuLjgd69+bl3b9euemfPAnl5HL+gOQmCIAiCIAiCIAjC5eCNGLUFtI4yMKyj/g+MISUIggULFzIgubEZSeeioijumAOHGyQlcb9Bjx5se/IkAxP/8gvLIyNd92GwYQPjPvXqxe+9ezMA8fbtznXLlmU2rqSkgufkxJo13ARBEARBEARBEATBDd6IUaMAvK6Umg7AD8AwpdQPAPoBeLkoJicIJZlmzYDAQKZdN3PhArB8OXDPPc5toqKA//6XsZuSkthHUBAFL1fExQFaA40aMVtfkyYsj493rhsSwj7nzXPeN3eu9ZyEkseVZGcEgDffBGrWZPuqVRmA3xF37R3r+fqyr9BQ9vvoo8Dvv9vqGBkhjTrGNmeO635XrADuuotx0cqVA1q1AhYvtq+zZg37nTjRvtwY7/bb7cuTk4GAAMZ+M4iOpkVjaChQoQLnnp5u2790KXDHHbz3IiMZE+7YMffnRBAEQRAEQRCudTwWo7TWGwE0BxAA4CCAewCcANBMa72taKYnCCWX8HAGMH/6aeDbb4HsbC5yu3fnAr5fP+t2desCbdtygRweDrz2GjBkCAWpjAz2s3w5A5FnZnKxP20aLaGM7cMPGTfKyqLq7bcpYH3wAZCWxnTuL7/M+FRjx7o5oMmTuXnJzz8DS5Z43UwoIq40O2NcHDBrFvD99xRdtm61FjE9ze4IUCBNT2fA/u+/p7jTuDGwe7d9vZQU1jM2KxEMoJtr9+4M1H/sGI/ztdecr8OC5njhgv0cZs+mWObIkiWcz7ZtwJYtTAhgzKN3byYLSE4G9uyhQN2yJe87QRAEQRAEQSipeGMZBa31Lq31AK31LVrrm7XWfbXWu4pqciWN6GgupBzf9NeqBXzyia2e8dY9J4cLQce3/aGhjBHUpo19/55aGhhkZufiZGomTqVmIjs3r3AOUvCKESNoRfL880Dp0rRaqlYNWLWKi1JXvPACBaZTp4BhwyggjB9PC49q1YCPPmKsqoULuXDv359WUcb22GNAbi5FMAOl+LNlS1qNfP01rWJq1AB+/ZWWMTfe6OZgli7l5gWnTwPDh9ustYTipTCyM27ZQrH0hhv4vWJF4D//sR/Hm+yOZnx92e/HH9OS6XKyO2rNe+aVV4BBgyjo+viwv+nTbfUyMigWTZ0K/PEHRTVH+vWzF6ri43mvuaJKFVqZ7d7NeQwfTqG3Tx/epxUrAjNm8Bn/7rveH5sgCIIgCIIgXCt4JUYBgFIqQilVVyl1s3krismVZIw3/enpXPCMGMEFvyPVq9u/6U9Pp4VKcDAtF8x4Y2mQm5uHXw6fw50TVqP15DXY/1da4RyYYEdiInDvvfZlAwfauzw99hgXpxcvclH+3/8ydpPBuHHA55/b99GkCa0yypfn9z59uFi+cAH46y9g2TKgeXPGiUpKoqBgJiiIlhgPPQSkpnJB7utr29+yJV2U0tO5f9kyxqoqbMqVA9atsx2HULwURnbGpk25f9IkXpO5FuktPM3u6I4uXXjteMv+/cDRo0C3bu7rJSRQFOreneKalVtr377AV1/xGPftoyWhO2H16FHgm2+A227jPI4ccc5c6ePD8yKZKwVBEARBEISSjMdilFLqNqXUdgCnAewBsBvALtNP4TK5/XYuyPbtK7huaioXKiNH2osc3loapF/KxQer/kBWbh4ysnLx37UHxTrqOiQvj5Z0MTEF13UX+yY2FlBr12DuqdZO7X7/nQvuqCiKXrfeSkuu3Fx7K0CAQl1AgHXcH8Oy0CApiUJepUqM+1O3Lt0IL1zgfq0piNx4I+ddvTrw4ovApUuXdaquCwojO2PfvnQDXbGC1kbly9P109P2nlK5MrM/momKss9cafVMPZOfE9YqY6SZuDi6+fn6co5ffkkXWDNVqwI33cTrMi7OtVWUkVGzZUuek1GjbJkpJXOlIAiCIAiCcD3ijWXUZwCOA2gDoD6AegBuNv0ULpMtW7hg90QQePRRoHZtYPRo+3JvLQ2CAnzQsrYtNVrrm8rB39drQzlLcnLzcO5CFi5mWZhECFcV1avTVc9TlyBXsW/i4oAIv/OIO9nWrv7BgzbXw1276AY2bx4tZtJcGOONGFFw3J+zZ2ldePEirXnS0mhJkpLCMQFg6FCKs/Hx3L98OfDDD8xMKFhTWNkZ+/ShQJOSAnz6KV3/VqzwvL0nHD9OS1Azycn2mSvr1bM+RsA6Y6TB0aPA6tU8DgDo1IkWY8uWOdft359i7JdfUoizwsioefgwXQyDg22ZKS8rc6UgCIIgCIIgXON4oz7cCOAZrfVarfVvWuv95q2oJlhS2byZb8pDQ5lJqV+/AuLxAJgyBfjlF7psGfF9DLy1NAj080W/ZjWwaEgLLH/mTtxTr8LlH4yJzOxc/HToLB6L24L3V/2OsxeyCqVfoWg4dozCUIMG3rUzx7752yrvlg+x4twddlZ5Y8fSXfCdd2wWIDfdxEDPZcpc/rzfeYfWUJ9/bstcVq0a8P77tLz64w8u+r/4gqKVnx9Qvz5dr779lqKU4ExhZ2f096dV3K232gJ9e9PeHQsWAHfe6V0bgNdftWq8FlwxaxatBjt04Bxr1aIYZTXHrl0pUtWqxfhq3syjalXnzJV5eZybZK4UBEEQBEEQSjLeiFHrQSsooRBo2tSW+emvv5hFyTEGlJn167mwnz/f2Rrgci0NypQKQMNqZVCvUmmUKRVwZQeUT+rFbDw6cwu2HUnBp2v/xIFTEouqJGKOffO3Vd6vL6NefV87q7zvvy84Ns/l8P33jBnk4+IJtmoVF/p33GFfXq0a7z2Jx2NNYWRnjI2lOJOWRmFl+XI+35o0ubzsjmZyc/mse/ppxjRzm93RBUpRzHz9dWDmTLo+5+XxGWsEWo+PZ9/mOSYk8LgMNz+DkBCKmzNmeD+PyZNpXTh7Nq38/vqLQdVTU4HnnvP+2ARBEARBEAThWsEbMeoxAIOVUs8ope5RSt1l3opqgtcDFSrw7bqr9PYnT9JVafJka1e+wrI08IRzGVlY/0cyVuz5y8nqqXVroE6NQAT42CJhB/v7YfZszjs0lNYxDzxgH8AbcJ8J0JuYQwbjxrH855/ty7OymMGqalXOp2ZNWfR5g1XsG3dWeWfOFBybx5HJk20xf1y5KhXUb3Ky6/0Sj8c9V5qdsXRpZoisXp2/wxEjmC20ZUvvsjua2bSJ92vp0nzOpKbSTdTRos+wNjW2d96x7q9bN8Yi++wzxp6qUIFZ7Tp1otVqYiIFOfMcO3aki/SXXzr3FxNjyx7oDT170grr3Xd5rd98M0WpDRts7oSCIAiCIAiCUBIpIEytHTcCaASgrcU+DcDXolzwgDNn6HJSv77zvtxc4JFHgDZtgCeecN5vtjR48EFbeUICLRwmTiw4GLE3fLMzCaMX0t+mf7MaeOmBuggO8ENiIjNbhYcDj1e/E0fK7EfLG6Kw+PMQvP8O48a0bcvg1N9+CyxaxMWpgTkToDmmjxFz6NFHae1VqRKzUL36quuYQ1pzgWf0Z7aOeestuqX9/DP7OnwY+PHHwjs/JZ2FC+0D59tZ5b3+OnqnhGP0rqHYvp3iaGSk+9g8Vjz/vC0WlSsK6jcqyvX+pCSKkIJr+vSxxUsyY2RodMTIzmjQpYt1v716edbezMCB3NwRHc373hvateNmRWamdfmePbbPrsa7916KWQbmz1Z06sRNEARBEARBEK4nvLGM+i+AVQAaACgPoJxpk8TsXmK86Q8NZZDdcuXoquLIhg0MpGukGTdv9etfvqXB5ZCbl4dfj577+/vu46nIzGEGvvh4uj8NHKiwclEwJna9FW1uqIq3xvth6lQuTkNCGEOmQwdmOTNwlwnwcmIOrVsHnDjB+EFffUVrKIMtW5i2vnJlWk5FR7vOgCUUjJ1V3utD0ORDRnA2rPLuvdd9bJ7L5d57KeDmuUgA2aYNXQkdLeOOHqXli8TjEQRBEARBEARBKD68EaOqAhirtd6jtU7WWp8xb0U1wZJEYiIX0QMHUigysoWdOkXXj/L5kp7xlt/PD7jrLn7OyLDPMJaezrf0vXrR0sPf334sw9LgoYcKb/6+Pj4YcveNqBwehPBgf7z8UD2UDuLA8fE2a4oVK4Dk0z7YtIkWBg8/7L5fd5kALyfmUFwcBS8jC9vSpbZ9TZtS2Pr4Y1paeWtNIdhwiv8TMwjbYwbZxf959VVg40bghRcYDwcADhxg1rGUlMsfe9gwumoNGEAxE2B2tWHDgJ07gTp1aEnYpw/Fp9xc3i9du/IeNFt3CYIgCIIgCIIgCP8s3ohRKwE0LqqJCNcG0ZGlsOipFlg57C40qFIavj4K69dTEOjRA2jcmLFTZs+m+2FUVMFugoUZcygjg9mpevemQNetm31/L70EjBxJsSQmhlnhCso8KFjjZJUXcBYVA87aWeXdcAOtABMTackXHk5BKCaG2fAul4gIilz+/nTjDAujtVN4OOP6AIxzNGgQha/QULpktW5dNJZagiAIgiAIgiAIguco7aFpiFLqCQCjAcQB2AUg27xfa/11oc/uHyAmJkZv3bq1uKdxTfP443SLW7aM3197Dfj6a+Dtt2mZlZnpWpDasIGBsI8do6Bx+DDj+WzbZgvI/tZbjBllRWIi62dnc4wvvmCmrb/+YnyqH3+kFczx43SFNHPxIgMYDx3KtPP1JFfkldG6NX+uWVOcsxAEQRAEQRAEQRCuApRSv2itLdKweWcZ9TGAKgBGAfgSwHzTNu9KJylcm1y8SFettWtt8arefRfYsYMWTUFBtKBxRUGZAL2NORQXRxfG6tXZX/fuFKqsMmAFBzNjVtmywN69no/hDW+/TZFr//7rwDUsMlJSgAmCIAiCIAiCIAgF4rEYpbX2cbNJJr3rlIULAV9fijnbt3Pbtw+4804KSq+9RsFn4UK60GVnA8uXM927U8yh/O1yYw4dPw6sWsUYUUZfO3bQLc9wxXvvPRruXLzI/uPimJXvttuK5vxs3w4sXgyMHs2g2iWahATxgRMEQRAEQRAEQRAKxBvLKKEEkJubh+T0S0i9mF1wZQ+Ii6MLnWGJZGxPPUVBaehQBgwfP55uctWqMZZP586eZQL0JubQrFm0sLr/fvv+hg5lUOvduzne8OEsj4oCpk6lflKrVqGcDie++gq48UZg/nxg1KiiGUPwnOhoum8mJ9uXN2rE7IqJibayceNY5piRLzaWAmxoKFC6NNCwoX2Q/MREtjOyXkZH00LOkdhYoEEDoFQpXo9PPukssO7dC3TsyOs+LIyC5ubNtv1r1gBVqzr33bo1MGOG7Tj69rXtU4rjmjMRvvwyEyuYuXCB82/f3rn/kkRensap1EwcPJ2O5LRLxT0dQRAEQRAEQbgu8EqMUko9qJT6USmVrJQ6rZRaq5Qq4UuVkkNObh52Hj+PPtN/wvB5Owpl4fXtt8CUKc7lPXrQksnPjxnNtm7l4vavvxhbqnlzzzMB3nTReyNMAAAgAElEQVQTg5KfOQOcP09rp2efpSBgzjz44ousExxsEwJCQ4E336RF1tatFKx++YX9pKRQaHCVcXD2bIpeoaF0OXzgAWD9evs6sbFc3M+da1++Zg3LhwyxL2/Zkm2s6k6caCtr2xYYM8Z5TosWUbjIyaF4EBBgf6wNG7Kep4KI1djm9jk5zm1c8tJL3K5yata0d9vctYuWcma05rUSEWEd4L5ZM7qDpqQAgwfzWnYUklJSWGf+fOD114GVK237pkyhxd6kSbwWN29mvLT77gOysljn4EGgRQsKR4cOMS5b586s4yiQecuJExRK3TF/PhAYCHz3He/TksqptEto9/463DNlLYbM3oYz6SJICYIgCIIgCEJR47EYpZQaBGABgIMARgJ4EcAhAAuUUv8umukJhcnZjCw8/eWv2H8yDSv3nsQ3u0vmCnPJEooAxvbRR9738c47FLxGjQJOngSOHKHosGiRfb24ONeCRUgIXRXN1jZWWPUxcCDFEMf8ArNmUdwzAsKPGGF/rDt22Nd3J4gUNH+v2bSJ21VOv362mGQAj71/f/s669ZRsHn/fYo2hkDkiI8P+7twAfjjD+s6MTG06tu+nd9TU4GxY+mO2q4dxdjoaAqahw8Dn3/OeuPGUfR64w3+jsLCaOXXty+FrCthxAjOwZ3YGBcHPPEEcOuttHIsqSSeuYCzF/gL/unQWWTl5hXQQhAEQRAEQRCEK8Uby6iRAIZprR/VWv8vfxsI4HlQmBKucnyVQmRIwN/fy4cFFuNsrl7On6dV0tSpQJcuFJX8/YEOHWjJYnD4MAO3T5sGrFhB0cpMmTIUlV591fVYGRkUiqZOpZhhJHbs3Bk4e5aiiMG5c3QHcxROPMFREHE3dkmnaVMKQvv20R10zhx7NzaAQkyHDkDPnvxudsMzk5sLzJzJ66NGDes6mzfTRbR2bX7fuJHx0rp0sa8XGkrrO0MwXLmSAfgd6dGD10VmpmfHa0WXLnQxdLTSMzhyhFZzffpwM4t3JY1aUSGoWDoIANCmbnkE+hVtCMS9e5nUICOjSIcRBEEQBEEQhKsab8So6gC+tShfDsDFMky4mogMDcSn/RpjcOsb8E6PhmhSSzKfWbFpExf6Dz/svl58PEWerl25uLSyHhk9mjGp9u+37iMhgSJE9+50zTMW/cHBFB3MIsDcuUDdujZXPG9wFETcjX09YFhHrVzJc1qlim1fRgbdQnv3psjUrZuz5djmzRQbg4KA55+nNVP58vZ1oqL4e2zWjFZ1nTuzPDmZ+wzrNjOVKtniWSUn87tVndxcipWXi1K0lHvtNeCShVdafDwtom6+GXjkEWDPHuDXXy9/vKuZ8qWDsPipFvjxhdaY1O1WRJgE+6Jg+HBg+nTGChMEQRAEQRCE6xVvxKgjAO6zKL8fwOHCmY5wueTk5uHYuQws2n4cR89mIMeFq0ml8GCMaFcXXW6virKlinbRVVx07kyhwNimT/eu/ZkzrsUCM/HxFCwA/rRydatYka5OVvGfALbp2ZPxr3r3Ziyj7PzY8gMGUBQx4hnFx7PMzOTJ9sfquN+VIFLQ2CWdfv0YEyw21tnSbMEC/u6NwN19+jAD5OnTtjpNm9IF8tw5Bhg3W7AZJCfTRXLyZFoZGec2Kor7rFzkkpK436hnFaspKYliknGNWv3OsrOdY7E50r49Ew9Mm+a8Lz6exw0AlSsDrVoVkivnVUr50kGoHhmCyNCitxZdvpyx4wRBEARBEAThesYbMWoygPeVUtOVUo8qpQYqpWYAeDd/n1CMnLmQhfYfrMMzX21H+/fX4cwFF0FurgMWLqRQYGyPP+5d+8hI12KBwYYNDCrdqxe/9+7NQNhmNziDkSPpxucYz+noUWD1atuiv1MnWmQtW8bvLVsyA+GiRcCffwJbttjEL4Pnn7c/VkfBwJUgUtDYl0XVqtap3a5CatRgIPNvvnF2l4uL4zkzMkR2787zZg56bhAaCnz8MWN5WVkO+frSEiYoiPUACoOBgcDXX9vXvXCBQsU99/D7vfdSjHRk7lyKYQEBnKPxOzbQmi6krtwGzYwfz5hUZpexjRvptvnWW7aMlD/9xOP3KqD9NYg5GYCPj30yhC++sM5MWKGC/XnJyaGVnFL2fS9dCtxxB91+IyN57x07ZttvJEMwuwIDvKXWrCnkAxUEQRAEQRCEYsZjMUpr/V8APQHUA8WnKQDqAuihtbZ4ty78U1zKzkVWTh5Gta+HyuFBSLuUg4tZucU9rWuWZs0oHixc6LpOXBwX/Y0acbHepAnLrVzdIiMZDP2VV+zLZ80C8vIYm6hiRaBWLQpC5j769+f3WbOA++/nwtdbrAQRT8b2ms8/t0Xfvgb43/+AH36gOGBw/DiwahWFg+3bue3YQUHRlWVQZCQwaBBd3lzx4ovMWJiZCYSHM3j4008zG2V2NoPcd+9O4aFfP7YZO5bC0OjRdMlLS2PQ85kzbXHIqlfntTdyJAWpS5coZvj5UbAqiNatma3PfGxxcczYt3ev7Rzs3k3Bavnygvu8ljEnA6he3T4ZgiHcOlKmjP15+eYboGxZ+zrz51NIfuYZiod79lCQbNmS1nUGERHAhAmMaSYIgiAIgiAIJRlvLKOgtV6gtW6ptY7M31pqrRcV3LJk8NVXXPiFhPDNd5MmXNybM56NG8e3246p1+vXt3/rHhrKxYiPD9+4G2XBwSwz1zMYOJCLzBMnbGVZObl4YlgmqkeWwpsTczC1z+3oEVMVpYP98N57nMu4cay7Zo1931WqcMFrRingwAHbsfj7M4tXWBhQpw7w1FP2rkOOfRrb1ZpUTWsKAubNkfBwCgtDhlCQysigYLB8ObOQZWbSOmXaNNtifft2CgVffGFtPTJsGIWFfftsZfHxPP/mPhISaJ105gzr9O8PfP89XQ0dXfC8xSyIeDI2QHHDfK7ySlCisRtuYMwvM+vWUWC8/36bVVDFisxit3MnRRkrnn2WIsTOndb7H3yQAoXhMjpiBPDmm7RsK12az5Jq1SiEBeZ7it14I7B+PcWw6GiKHq+8QjfC+0wO03PmAKdOMR5YlSrs45tvKD56wvjxtvhTxrX99NP2x1+zJkWykuyqd7k4ZmeMj7d3/dSaYvDLL1PQCg7mOZ0xg8/Kd9+11a1Xj2K4uUwQBEEQBEEQSiRaa482AK0AtHJRfpen/VxtW+PGjbUnTJ6sdfnyWs+bp3VqqtZ5eVpv26Z1795aZ2ayTl6e1rVqaR0RofXgwe77S0vTum5drceMsS9fvVrrKlWc66enax0ayr4nTrSVnzx/UVdpc1D7RaTpgAopesa6gzrtYpbWWuvbbtO6Th2tx4617vvPP/l9wQJbGaD1H3/w89ixWvfpw89ZWVrv3q11165aV6qk9YkT7uf7T3DuwiV98FSaPnLmgk7NP+YaNbQOCtI6JMS2de7M+jNn8vgct+xs6/4//1zrxo21LlVK6woVtG7fXusNG7T+8kutK1bkOTFz8aLWkZFaL1lifV4mTOB4M2dqvWmT1oGBWp865TzuzTdr/eGHtu+tWmldpoztOjMYMEBrf3/7Y42M5L5Dh5yPLS+Pfb/2GtvdeivbVKyodbt2Wq9bZxt70iTrczV5Mn86Xt8tWmg9874vtH7mGT1zJr8b1Kih9cqVzsfpybWzejXHmzDBed+MGVrfdBPvi/Ll+ftJTXXf37XM0aM8XzNmFPdMrg+srlvzM1FrXpu7dvH6O3eOW/nyLANYZ98+fv7zT+cxxozRumlTfjbum19/1To8XOszZ1hepQrvA0EQBEEQBEG41gCwVbvQYryxjHoXQFmL8tL5+0os588zAPXHHzOzVlgYLYhuu42WMIYlw7p1tFp6/31aUWW5Cds0aBAtIRwtk1yRkEDLiDFj7K0T/Hx9UKaUPwIrnkdeti98z5dBaJA/9uxh4Ot//ct1nzVrAs2b0x2nIPz9ad01Zw7jGE2Z4tm8i4pLObmY98sxtJmyFndNWo2fD9G0IzGRx212t1mwgG0GDrSSV1wHKu/TB9i6lbF8/vqLVkPNmzNOVFKSc4DooCC64Dz0EN2fzPFgAFrDaM15NG1KK5Ry5ZzH3bOHFmgGa9bQlSfQIbZybCyvMfOxGpnYoqOdj00p9h0Swmtp7Fjg5EngyBEGN1+0yDb2smV0GWrf3v5cNW7M9vHxPNd2HDliHTTrCoiL4zwcLXLWrgVGjWIco7Q0Wpz16FGoQ191VK1K67ykJPsYUULxEhREd9c5c/jc79jR3irNuCddZUY09hsYlnkTJhTdnAVBEARBEAShuPFGjLoJwA6L8l35+0osmzbRXalTJ/f14uK4KOnZk9+XLrWu98EHDIA9ezZd3DwhLo4p1nv1An77Ddi2jeURIQF44JZKaFgtHP8eoPDrqvC/6ztmCXPkjz84D09iyxj4+vI8WGUP+yfJyMrF8l30F9QaWLozCTklyYesiDCE1alTGbg7JISiWocOtsDJhw9T7Jk2jYHXT56076NMGQpqRtyioiIjg7F2pk7ltbp1q23fli10Z7rtNn6PiKAbY1hY0c6puGnQgO5eZvddofgxYrs5uugBtuyIrjIjGvvNvPYa8MknFMEFQRAEQRAEoSTijRh1EUBli/KqAEp06rbkZFsadYPmzbkoDw4GfvyRC+d58xik1t+fFlRW8VU2b6ZFx7x51osQK44cYeaz3r0ZwPqee+z7Dgn0Q82oUIx+NgQL5vsiO5tv6M1ZnwxOnOC8S5dmDKgmTbxPM165si3GjLlP83bhgnd9ektooC/+3bImlAIC/XzQr1kN+Hmq7F3HbNpEi6yHH3ZdJz6esZS6dmUMmy++cK4zejSt9fbvL7q5JiRQdOneHWjb1j4uT5MmFMrGjqWgeulS0c3jeuRiVi5OpmbidFqm4Y4tuOHOOyksnTzp/Dy96SZatTlmRszL4zVuZE80U7cuxeI33yy6OQuCIAiCIAhCceLN6n0FgLeVUn+76imlIgC8mb+vxBIZSUHKHJh640YgJYX78vLoCubnR7cmgC5ey5cDp0/b2iQnc2H91lveWSPNmkVRoFEjW9+zZzOotpnq1RnEeNQoBj+uVs25r8qVOe/UVP4MDvY+MPbx47REcezTvJkzlBUF/r6+uPum8tgwsg3WvnA36lcuXbQDlhDOnHEWVh2Jj6fwCfCnlahasSLwxBO0sioq4uJoZejry3l8+aXtmr/zTuDrr2kh+OCDvA+HDQNyJYnkFZOVk4e1v59C87d/wAPvr8PhMxnFPaWrHqWYeW/xYn523Dd5MgPFz55NN+K//qKrdmoq8Nxz1n2OHcvMiSkpRT9/QRAEQRAEQfin8UaMeh5ARQCJSql1Sql1AA4BqARgeFFM7mqhWTPG61nkJm9gXJwtHXjFihSdsrO5gAYoWPXuDbRowUxV3hAfD/z5py2z1bBhFLas0qx36ZGNKVM0uvS0SOnmQHg457Rkiedzyctj/Tvv9OIAioiQQD9ULhOMiuFBCPTzLe7pXBNYCatmNmwADh2iOyjA62PXLutQUCNH0jpph+G8W7ECze0KgaNHaQ3Ypw+/d+pEi65ly2x1HniA1+LZs7w3Y2OZoUy4Ms5fzMakFfuRm6eRnJ6FOVuOFveUrgnq1+dmRc+efKnw7rsUg2++maLUhg28J60wMhgWtZWpIAiCIAiCIBQHbuwj7NFaJymlGgLoA6ARAAUgDsBsrXWJfnVuBHsePJjxidq1A0qVYhr3CxdoKbRqFcWhW2+1tXvvPYpUQ4cC48Zxgf31196NvWkTcPAg8Ouv9sGuhw9n3x072sqS0y7hu8xtKNdDYYvyw5kLDQAEOvVpkJ5Odz5XCygz2dnAgQM8jr/+oiAmXHs0a8bgygsX0pXUkbg4XuOGFZ5BfLxzWWQk8OyzwCuv5BcMfJRb7JXPc9YsCp8dOtjKMjM5j86d7ev6+NDVqU0bYPfuKx/7eifI3wcx0WVx8DRVkKa1IgpoUTJxCtAPPv/MuPJgrF3beV+nTu7jDg4cyM3Mxx9zEwRBEARBEISShsdiFADki07Ti2guVzUjRgBVqgATJzJAbUgIUKsWMx4dPGjLgGRm6FBmndu9my4a/v60bHJk715aVFkRF8cFTIMG9uXPPEPrJHPsprMZWdj511kERwNrDgIZl2526u/ECVvw48BAugtaxQQymDOHwoXWdMe77z7gl1/42apP87y7dnXdr1A8hIczOPKQIXTVu/9+Xpfff09LpLlzGbj8wQdtbRIS2GbiROf+hg3jfVBQWKHsbIpJBmY3QXM5wOsyPp4C8BNP2Mp//pkWh2fOAOvX07KkbVuKxVu2MOj6e+95fi4Ea8KC/DGyXV10alQFESEBqBweXNxTEgRBEARBEAShhKG8CU6rlKoG4E4A5eHg4qe1fqdwp/bPEBMTo7ea03Rdw5xKzUTb937EuYxsVC0bjAWDm6NcWFDBDYXrji++oMvQvn3MQNe4MV1IP/yQAfP9/W11MzMZgDk2lqJj377AsWO2/RMn0mVvZquZGFhnE2KbT8OMGRSMACA6mhn6zIweDdx7L3D33c5zW7eO+44etbcGBGjF9+STtEB89VW6CF66BFSqxBg8I0YUxtkRBEEQBEEQBEEQrhSl1C9a6xjLfZ6KUUqpPgA+A5AD4DQAc0Otta51pRMtDkqSGJWbp5GcdglHzmWgRkQplC8tQpTwD9K6NX+uWVMk3efk5SE3T0t8MEEQBEEQBEEQhGsAd2KUN256rwGYAuAVrbXkrLoK8fVRqBAehArhIkIJJYsz6Zfwv/WHcORsBka2q4tqEaWKe0rXFVk5uVBKwd/Xm5wXgiAIgiAIgiAI1nizsqgAYIYIUdc+oaG2zccHCA62ff/iCwbp9ffn9zJlgObNGUjdkYEDGfvnxAn7cnN7YzPHG2rdGihblu5Vjv29/LL1nLUGPvqI7lmlSjH2VuvWDMB+OfNyd1zXGtHRtt9hhQrAo48yOH3r1rbscmvW0NXOHWvWMA29Y2yoxESWG7/L6Gjg7bcL+yjc882uJHy85iCW7kzC4C+24Uz6pYIbCYXCydRMjEjYibGLd+N0mpx3QRAEQRAEQRCuHG/EqG8ANLnSAZVSvkqpX5VSS/O/RyilViql/sj/WdZU9yWl1AGl1H6lVFtTeWOl1K78fR8opVR+eaBSak5++U9KqegrnW9JJD3dtlWvDixZYvvepw/r9OzJ78nJjOvTvbt9HxcuMLB1eLh1AHSjvbEZsXwSExkTSClg8WLP5zx0KINTT5nCANbHjzMo/LffXt68XB3XtYrxO9y2jcG8x4/3vo+4OCAigj+tSEnhGPPnA6+/DqxceWVz9oacPG36nAfPI90JV0J6ZjZGL9iFhb+ewOyfjuKTNQeQlydnXxAEQRAEQRCEK8MbMWolgAlKqfFKqZ5KqS7mzYt+ngGwz/T9RQCrtNY3AliV/x1KqZsB9AJQH0A7AB8rpYxgMZ8A+A+AG/O3dvnljwE4p7WuDeBdABO8mJdggZ8fBarjx4HTp23lCQm0LhozxrV4YUV8PDP4DRzoebvff2d686++Yja/4GDA1xdo2ZJBtc14Oi9Xx3W1kJ2bd1ntqlQBHniAGRy9ISODItPUqcAffwDuwqjFxDCQ+PbtDjsaNeJWBHRsWBl9m1ZH65vK4ZM+jREVGuh1H23b8rpwZNEiWtrl5BRsHZaT49zesLgLC+NWpw7w1FNAUpKtzpo1tEI0WwuGhtos81q3BoKCWBYeDtx1F7Brl/MY5rZlytj2K8UMn6GhvAaGDQNyTTasRv9Hj9rKvv+eVm6OmC0XNQBDe0pedite7VIPpUtTtLzvPuC332ztYmN5Xxrzq1mTVnq//27f/6VLwEsvUQgPDgZuvBGYNKngjIzCtcP69bQ8DQ/ntdKiBUVyMxcu8Dpp3965fXQ0rTwvXLCVzZjBa/PIEfv7wHzth4byZQfA61EpZgh1h+N1a2yGZa1SwIED9m3GjWMiB4O0NN5z0dGcS/XqQLduzABq4DhPs8XwuHHcP2+erX5ODssSE/ndynLY3TkUBEEQBEG42vFGjPovgKoARgH4EsB80zbPTbu/UUpVBfAggBmm4k4ADNkgDkBnU/lXWutLWutDAA4AuEMpVQlAaa31Js3o6/EObYy+5gO4x7CaEi6PrCwKSJGRXKAaxMUBjzwC9OrFBem2bZ71Fx9PEahPH2DFCuDkyYLb/PADUK0aRZCC8HRero6ruMnMzsXWxLMYNmc7lu9OQurFbK/aHz0KfPMNcNtt3o2bkMBFTffuFG3i413X3byZYlft2g473nuPWxEQGRqIVx68GR89chuio0Iuq4+BA4FZs5xFj1mzeD36+RVsHeaKnj25ID17FliwAPjrL2YoNAtSlSvbWwumpwPNmtn2f/QRy86c4aK7Xz/nMcxtU1Ls9+/YwfK1a4E5c4DPPrPfHxJCizZ3OFouhgX5442Hb0G7WyqiRmQInnk2D+npCsePU/R67DH79s2acQ7nz1PsCg7meTCLo927A6tW8TpNS+P5nzYNeOYZ93MTrg1SU4GHHgKefpr3w/HjwNixQKCDfjx/Psu++87+PjHIyQHef9+5vHp1+/sAsF376enAnXeyzJt72bhuzVvlyp4d76VLQJs2FI+XLuXx79vHv0HffGNf1zxPs8UwwLmOGWMvIhdEQedQEARBEAThasZjMUpr7eNm8zS91XsARgAwm31U0Fon5Y+RBKB8fnkVAKb3+DiWX1Yl/7NjuV0brXUOgPMAIh0noZT6j1Jqq1Jq62mTWYxVLKOBA4GAAC7UrawB3LUtqL3j21WrN7BAwW9uPXkL7S1z59LyIjgYmD6d//T65Ye7P3IEWL0a6N2bb6/vucf5H36jvbGdOMF5Hj4M9OjBBeoNNwCzZxc8l+RkWq6YqVqV/QYFsU9v52V1XFcDKRlZ6D39JyzZmYQnP9+GcxlZHrXr3JnH1bIl0KoVMGqUd+PGxVHs8PXl+fvySyDbQQeLiuJ5a9YMGDyYY/6TBPr7IjTI/7Lbd+7MxbFhOQEA585xAdm/v3fWYa7w96fV2Jw5QLlydCv1Fj8/LmT37vW+LUCRsEULZ8u1oUP5e7V6xhhYWS5WCg/GOz0a4vbqZVAqkDdLcDDvYyfruHx8fXl/f/wxr8dx41i+ahUXzgkJwC238FibNgU+/5zn3d3chGsDwxLukUd4HQQHA/ffz3h/ZuLigCeeYLmVS/ULLwCTJzuLrp5w+DBF2WnTPH/pcbnMmgUcOwYsXMhr2teXwm+3brbr3hPateP/Cp9/7nmbgs6hIAiCIAjC1cw/lhpJKfUQgFNa6188bWJRpt2Uu2tjX6D1NK11jNY6ply5cgDcxzIaMYJvMV1ZAxQUB8lof+wYUL48F3re4urNradvob2lRw8uAk6e5D/Yv5h+a7NmAfXq2Tyy+vShqGQWL4z2xla5Mv9xvv9+ihoARQ9P3lpHRjq/9T12jCLVpUs2Sxdv5mV1XFcDGoyJZJCT65nv0sKFPK7DhykABAd7PubRoxTxjHhhnToBmZnAsmX29ZKTed1Nnky3M0exCn372qurVxmGgGK2+po7F6hbF2jY0DvrsILw9eV5NAtfnpKVxYVl06aXN/Zvv3FcR8u1KlWAxx93v0B2ZblYKsAPvj62PxcXLlDYcrKOs6BLF9t5WLkSaNKElo5mmjShwLxqVcH9CVc3derw+h8wAFi+nIKvI0eO8BliXGtW91pMDF/yTJ7s/Rzi49m+a1f+TShKoeb77/m8CLk8g82/UYqWi6++avFstcCTcygIgiAIgnA141aMUkoNU0oFmT673DwYqwWAjkqpRABfAWijlPocwMl81zvk/zyVX/8YAPOSpSqAE/nlVS3K7doopfwAhAM468HcPIpl5MoawNM4SKVKUYDxNp6POzx9C325REUB//0vF7CGIBQfD/z5J62VKlZkrIzkZC48XHHxIhf+a9fa2r37Lt0WduxwP4c2bSg+FWSp4s28rI7raiA8yB+f9m2MO2pGYMxDNyMyNKDIx5w1C8jLAzp04HmrVYtilNXixtcXGD6cFmkff+yw89gxblcxAwYwLsvFi/weH88ywDPrMG+oXJkCscGJE/bWgmXK2MfEGTqUZaGhdNkbO9a+P0drw7vvtt9/++1cENerx0X84MHOc3rpJQa737PHeZ8nlouTJ3PssDDWnzXLu/OQnAxUqmRdr1Il7heubUqX5rWhFMXPcuWAjh3trZPi4/k36uab+bdrzx7g11+d+3rtNeDDD72P6xcfz3sY8Oylx+bN9vfWDTd4Ppaj5e727eyjdGngppvs695+u/04K1bY7+/YkedrxgwUiKfnUBAEQRAE4WqlIMuopwGEmD672p4qaCCt9Uta66pa62gwMPkPWuu+ABYDyF8OYgCARfmfFwPolZ8hryYYqPznfFe+NKVU0/x4UP0d2hh9dcsfwyPTEk9iGbmyBvA0DlJ6Ot/QehvPxx2evIW+UurW5ZvfiRMZcPngQQZm3b6d2+7dBf/Dv3Ah57l3r63dvn2M72EWPXJzKYQYW1YW/6H/v/+j69LKlRQScnOBjRtt7davz8PBgxrLf7iETVtyPJqX+biuFkoF+qFN3fKY3i8GfZvWQJlShStGmc9tZiatyuLjKXwYv5ft22kltGwZ4xdZ8eKLPG+ZmYU6vSKnZUsu9hYtonC5ZQuvEU+tw7zh+HG6zRpUrmxvLZiSYm9N8cEHLMvMpOtgt27Azp22/Y7WhqtX24+3bRufMXPmAD/9ZC90GZQrx+DqVoHcPbFcfP55jp2YSOF7/37vzkNUlGvxNynJNrZwbVOvHt3Ljx3jc/jECeDZZ237jb+ZAO+LVq2sn9O33ELL37ff9nzsDRuAQ4f49wLgdbxrl2uXUoAvk8z31sGDtn2+vs6idHY2XXIBZ8vdRo3Yx9dfO0cjVOoAACAASURBVLvtb9tmP07btnBi/HjgjTcKfrZ6eg4FQRAEQRCuVtyKUVrrmlrrM6bPrrZaVzCHtwHcp5T6A8B9+d+htd4DYC6AvQC+BTBEa22E9nwSDIJ+AMBBAIbty/8ARCqlDgAYhvzMfAVRkEWAO2sAb6wJatfmYtExA5wnuHpz68lb6MLghRcYf2P6dC7UGzSwWSBVrMjgw0uX2luCmImLY2at6tXt2z31FAU6I0vZ229zkWtsbdqwfOpUWo4MG8aFbdWqwCuvcOFdvTrw0bQchNQ5hceXrsLhjLOILJfn0byM4zp1ynp/ceDn64PwUv4I8CtcL9rjx+3PbXAwF26JicCQIfa/l44deb1++aV1Xw8+yBhp06cX6hT/Efr350Ju1iyKLxUqeGcd5gl5ebRAMoIpe4OPD9vVrs34St6gFJ9FzZrRqsSKF16gkGV2UfXWcrF6dQaXfuYZm5WZKxYssJ2He++lUGbO6gdQ3D561Ha/CyWHunVpNWxYBG/cyJhsb71lu9Z++onPGqtsla++yufM8eOejRcXR5G9USP23aQJyy/3Xq5e3ZbRzuDQIaBGDX6+5x7ep1bi7+Vw3328950sT014ew4FQRAEQRCuSrTW1/XWuHFjPWiQ1u3b67959VWtGzbk5wEDtB49mp8PH9a6Xj2t58611XXX1rG9I2PHat2nj+07oPUffzjXmzlT6xYtrPtwZN8+rRs31rpXL8/qlwRyc/P08LnbdY2RS3WNkUt1p4/W67Ppl+zqXMrO1WmZ2cU0w+uEVq24mahRQ+ugIK1DQrQuX17rgQO1TkuzVZ8+nZ9Xr+b1P3iwfZctWvD6N2PUnTDBvvzQIZaHhHCrUUPrt95ynuahQ1r7+2tdpQrrlyqltVKcZ4sWWn/6qdZJSVovWqR1QIDWzZvzp1G3VCmtH3hA64sXtV61SuuwMNt9nJWl9d69WvfooXWFClofP26bc0CA1oGBnFtkpNYPP6z1iRO2c9Ghg9Z+ftwfFGQbLy9P6+rVtb71VvvjiI3VulYtrS9ccH527NypdXAwj8PxXGut9fjxWkdE8BxprfXs2VqXLctnXFKSbbvzTq2HDWMdq2dZ48Zav/ceP5ufUzk5Wv/5p9ZPPcXj2bnT1qZ9e63/9S+td+9mvU2btK5d2/l3L1yb7Nun9eTJWh89yu9HjvAeGjSI3//zH63vu8/+OvvzT61DQ7VevJh1atTQeuVKW5+DBvF6dXi8aK3tr/2LF7UOD9d6xgz7/j/6iM+fbIs/AQX9fX3xRc7/6FGtc3M5r9BQrXftso152208pl27eE1fvMhnj3F/Oc7TEcf/Bdav5zMC4PNKa/v7z5NzKAiCIAiCcDUAYKt2ocX8YwHMr1by8gI9tghwtAa4kjhIRYXjW+jrAR8fhdZ1yv39vfkNkQjytyV4PJN+CZNW/IanZ/+KA6fSoT3z3BS8pVkzbg4sWUKLwG3b6BY3frx185AQWi84WiE4UlDK9pQUjjd/PgMCr1xpvz86mtknDUuG2Fhmsfr1V7qDvvwy44kZ1mGnTtE6A2DGvYwMusQGB9titMyZw1hPZcqwXWQkLY/M6eGzTIkRMzOZ7KBHD1uZOQ18lSrAO+9wjkqxz507GXcuNJTnauBAYNIkljnSoAHddiZNsj5HzzxD9yPzOfXEctGRF16gu6bhjrRpE+dXujTjVqWm8nfeoIGtTUIC4121a8e6ffsyKcSHH1qPIVxbhIXRSqdJE16nTZvS3W7KFF73c+cy4Yb5OqtZE+jXz/U9PWaMZ5ZHCxfyvuzf377/xx6ja/e331q3M65b82ZkpB0zhs+Lli1pDTpiBO+JW27h/qAgWhrefDMtRo1YUVu28FjNNGxoP4bZddFMixbAHXdY77vccygIgiAIgnC1oa73hXmtWqN1Ssob2L6dC1KDHj2Af/2LMXOqVrVfQMfE8J++8uXp3uSq7ZQpXDA6tjcYN46pzI1UzkoxCGktk9Ojvz9diGbMoDueI7/9xrg2PXtynKNHGSvj5puvTReqy+X8xSwkpWTiQlYOakWFomyI7ReSsO0Yhs+lOlgjshTmP9EM5cKCimuq1xXR0bx2772X3194gbHCli6lWNG3LzBoELNC9e0LPPwwhaSZM1m/ZUvuNzJQZmTQrW76dC44N27k/QhQxKpZk/Fc/PxYdscdzI73wgvW81OK7i7mOHDz53Mux49TVDLP0xFj3p7EbXfs5+OP6X5qBBN3fB44MmkShZyNGxkrJjwc+PTTgscVBEEQBEEQBEEoDpRSv2itY6z2XfeWUWfOPOi1RYBhDTBt2uVZE7ijfn37mD7GotzVm1t3b6GvJ8KDA1C3Umk0rhFhJ0QBgI+yffZVCoCC8M9z9Citf9wF8B89moKLq8DYCQm89rt3Z/Bfd3FgNm+mhaBjwoGC6NSJ9+7PP3vXzhvOnGGAY2/mNmwYY+F068ZYX66sngRBEARBEARBEK52rnvLqJiYGL1169binoZQhJy9kIWZGw7hj1PpGNmuLqIjS4GJGIVCpWtX/kxI+LsoOpqpz/38aMnz4IMUSoODrS2jjh2jG8zhw3R9a9IsD3365+L/Bvkg0N8X995LsfW99xisd+hQZury97dZRoWH020sMxMYPpyijatft5VlFEBRecoUWiC1bk1hymz9+PTTdAH01jLq558519RUuuwsXkwxG6Bl1Jtv2rvd3Xabfda8PXt4/AsXUjQTBEEQBEEQBEG4WhHLKOG6JiIkAM/ceyPe69kINaNCRIgqKs6c4ebAwoWM43T4MF3TgoPddzNyJLBiBfD9+kz8fjINk7/bj62Hz+HgoVysXm1LZ96pEwWnZcvs2ycn09Vv8mSKRY5p2QsiOxs4fZpxqQw++MA+Jfvrr3vXp7mf8+cZ/+ncOWcRq0cP+3HMQhRAy0nzT0EQBEEQBEEQhGsRt2KUUipPKZXryfZPTVgQvCU6GggL8UFUWd+/XRyfeor7YmMZl8jTfoKD2b5CBbpopqfb9sfG0tLGMWjtmjWAjw/bhYUxuK3hfmmgFN0sQ0MZp+iee2gZ5MjSpYyDFBLCen36eGaVcy0RGcnAvs+NyMHFrFxkZOXipa934bPYPOTlAR060HKpVi2KUVauer6+tIoKCnKfIt2KRYtoyeUqgHBh0KABA6UPGULXO0EQBEEQBEEQhOuJgiyjepi2pwGcA/AZgMfzt88AnM3fJ1xn7N0L1KvHoNJXO0ZGN2P76KMr68cqM5y7LG+VK7NdaiozLj7+uHNcpB07WGf/fgbsfuopWxY3gIG1e/dmJrTkZLpsBQZSTDt37vKO52pl2DDgyL5SyD4TCgC4oVwI5n3lh7FjmTDA2BISaBllYZAFAHjxRcZ3y8wseMyzZxnrbcgQWmdFRno+38xM+80TgWnAAGbqW7zY83FcYRZKrQRXpZxjTFWtSqEUoBXWv/9NkS8sDKhTB5gwwXmcgQMp1J04YV8+bhzHmDfPVpaTwzJzdsSffwbat2fWwYgICn6GMLtmDefkSOvWDIJv1DGEXfO2aZP78xIWxjGbN2fQ97w8+2MKCLDvr2FD576OH+exHzzovO/hh4Hnn/fsPPXt63qu33/vXO7JMa9YAdx1F4+zXDlmUnS8rtas4e9j4kTnMf73P2ZiDQuj0P7gg0BamvU8BUEQBEEQBKEwcCtGaa3na60TtNYJANoBeElr/bjW+rP87XEAowA8+E9MtqhwZ/HiztrFauHkWMfVP/9JSUw3XakSFwB16wJjx9rSVyvFzFoGe/cyvXt4OOvffTezahUnw4czq5lVavmSTpUqwAMPMEA2QBe0tWsZ1H7FCuDkSet2SnExHhFBVy0roqKYrfGTT4C33qLQojXP98sv0xoqOJjCwYwZvG7ffbdojrO4KF0aGDY8D3mZAegZUxU9azTCkcMKQ4bYJwvo2JHxnr780rqfBx9kOnZ3mSWNdOu1a/N8vvsu8Npr9nWeespeCGjc2Lbv+HH7pAPBwdaChSMBAYx5ZXb5mzPHWXQ4dargvgD3gmtEBMWl1FTrts89xzb79tGNcPFi4IYb7OtcuEDxLzycop0jERHAmDFArgs72U2bgDZtKJQcOMDr+pNPgOXLPTs+A0PYNW/Nmrmuv2QJhZXDhylOTpjAZ6+ZESPs+9uxw7mfKlVosThrln352bMMzD9gAL8XdJ4uB3fHPH8+A/r3708ryZMnef0uWWLfhyuxfO1aYNQo3kNpabwGevQonHkLgiAIgiAIgiu8iRnVBsBqi/LVAFoXymyKEVcWL+6sXQrCVduzZ7mQuHiRC7S0NGDlSlonWC1iDx4EWrSga8+hQ3zb/vDDwP33u7YI+CdYvtxzF7eShmNmuPh4ICaGMbzr1XO9CM3L40I/ObngTGrmrG779wNHjnDRacbHh2OuXHnlx3TF3HMPNxOJicC991pXX7OGwcsBWr84uhuOfdkPWgNTX41EuzYByMyk1Ycje/ZQLIqOpmjn52fbpxT3P+3CdlNrigfp6bwvV6+m9ZnjPDMz7YWAX36xzVtr583qd2s+XoORIwEjf8K4cYxX5Sg6lC/vPGdvMwTWq8dnjivRcssWHnfZsrym6tZl1j4zCQm0Lhozxvp52K4dBbbPP7ce44UXKNiMHEnBVSmKeo5Cf1ERHk7xcs4czt8Qkr1hwABnMeqrrxjDq0EDfi/oPBUmWtOK8JVXeG2Fh/P316qVvQCbkUHRaupUBuw35+zYsoXXhvEsi4jgcYaFFe3cBUEQBEEQhOsbb8SoZADdLMq7AThdONMpftaupVAweTIXgWvW0GrAbO0SG0vLJCv3tDffZEav0FAuROrUsf/nf8UKoFEjihkrV/Kf/sWLgWrVgPff50LACNB86610Yxk0iIuFN97g/rAwWlT060eXLaUoWpgZOJBWNAAFAXOdY8coYERFcfHSoAGPad06mzVGSAjbmC00jhxh+4LiFsXGMmZPaCgtXBo2ZBsDx/kA7t13AAp1Tz5Ja5hSpThnx7hLjhhxmI4cAe67jyJFqVIcw1iovf02LczMx9mhg3V/6ensRymgRg3+DqOiuC8+3iZidOvGhXf79ra2J05wXF9fikz+/rSsGjjQPu4UQHEkNJT1oqIokiQnc9+AATaXJfP53LzZelFvvh6rVgV69nR/zq6IV17hJlyVvP46xaizZ533NW0KjB7Ne+qPP6zbx8UBjzwC9OoF/PYbhXszSnGMV191DhqfkUHh3FHgKg7uuIP3wrp13rd9+GHei+vX28pmzaJVkkFB56kw2b+fz6GCzmtCAp8B3bsDbdvax1lr0oR/l8aOBTZsYCZKQRAEQRAEQShqvBGjxgB4Qym1Qik1Ln/7FsB4AGOLZnr/DMeO0Z0nMJDxPNLSaEkxeDBw4438Bz03lwIDwMVG6dIUEcyuenFxXJh8/z2DJpcqRaum3FyKV507czHg58f4Ir/8wjfbPXpQFKpXj0KVkUL+558phK1dyzJz3JCqVelOsWWL/bEYAswXX9A9MDSUMVLM9OtH8attW7rtPPYY3RPvvJPHNGiQTWhLSWHZb78BL71EIaxDB7rYxMfbxy06e5auQYYeERrKt+3/+hcXZikptF4xL+QAimbNmvFt/g8/MP7Rrl2Mq2QIY40b082mRQsudP/4g/OuU4dzc8WOHUD16rQKmDmTfT33HPs2qFXL3hLF0b3FTP36/J3l5VGofPll9nvo0P+zd95hUVxdGH9nC70jgoqKBQErilIswd6xd1Q00VhjTexGjEZjiSVGjRoVrFhj772i2LArCgoKqIAgnS33++O47C67IBg0id/9Pc88sHPv3LkzOzsw757zHjpG1XErlcCxY5SOCVCaTXIyzaVLFzr3t24BN29SKp4mO3fSOT12jFK0bGzUoldOju6czp6laypvFIbm9ZiWRoJonsAlzhdEp04keKqWvKmJ7u4UTanPC2rZMhKVf/8dqFqVIq800+eio9VRY/b2dB3pi/rp0IGi1/IKpm/f0meiVKmCj0El2mouee8X+vqo0psLS+nS2qLcwoXa46lS7vJibEz3cJWYExFB93GVEF3Y81RU8jtmlVfah85rcDAJ0WIxzW3rVrVg2KgRsHs3iWbt2tEXDOPG5Z9uyeFwOBwOh8PhFAeFFqMYYxsA1AdFSHUA0BFAIoAGjLFPnIzw6REEetC3siIhQCwmQWf4cErRMTamEvUqb6Bx4+ifec1/2MPCSGSoVImiDCQSqswVHEzjHT5MIpBYTNEqAQFAnTr0QJGYSIKOmRmZyQJUCax3b/r97Fl64EhLI7EsNJQeGvURHk4PlioflKFDtdvDwigiRyolMef8eYrSAShaaccOEk1UJCXR3KRSEs1mz6Zl4EB6UFT5FrVuDSxZQqKMlxd56fz8M52/9PT8Iy62b6cotIkTSXgB6Bjlcpr/b7/R6x07SAybOJHGDA4mESi/B0dNLC11fZj+LnXqkIC4cSMJVO7uFLk1eTK129rqpusJAol9d+7Qe6gSpTQJDqb3rFw5EiA9PakCn6Mj8CZPDGJUFF2THTvqelVpXo8Aze3bb//+cedLmzbqC4nz2dmzhwRP1aIpuKr46Sf6DMTHa683NibfoOvX6bPRoweJLirBZuNGtVgO0P1lyxbdCCiA7g2qz70KVfqfSpzND5Voq7nkTQXW18fUtOBx8/LypfpeA9CXA5rjFSQgBQTQPSsri85L69bqVMqinKeikN8xq0z2CzqvMTEkkKkibjt2pLkfPKju06YNifBJSfQ3KyhIV1DkcDgcDofD4XCKk6JERoExdoUx5s8Yq8MYq/3+9yufanKfE39/Eolev6aIm8uX6UG/QQMSghYtIkEkMJC8gXx9qb9mqp63N31jPmwYRVstWkQRP1260MNITg4JMhIJPTyoRCFTU1p35w496IjyvCu2tvTwoUprEwQSJvL6BxUWb2+qGBYVRcdx8aK6GtuRI5QeqOnNs3gxiU0TJtBDXJ8+JJJNnUqm2oJA3jlhYWr/FJGIzo+PDy1SKaW25SUjg8yMC6pcdvw4PSzlfeDs3ZuiLfSZDeeHpg+TJnmroRWGsDDg8WP6uXo1iUoHDtD4U6fSsel7qJVK1Wbkhw9r+/9ER1PElaUlCU+2trQIAkVvPH8OXLlCfmPx8ZRuaWAArFql61Wluh4XLKCoqE8e6ZCZSQvnX4urK92P5szJv4+FBQlT6el0jwDoOoqMVBvHjxtH6Wr6zMdbtKBresUK9ToTE7oP7NpVvMfzMYSF0X3sY/3uGjWiz+TeveSPpZmiV5TzVBy4uNAXHAWd140b6T7p50dzqliR7nGaqXoqRCKK5mra9OM8tTgcDofD4XA4nMJSoBglCIJNYZfPNeFPRUYGpULFxZExdWYmRbs0aUKiSmAg9QsJUadkGBpqi1F9+1K6y86d9HrQIIrkqVhR7cPh5UXfyP/1l1oUCgkhESIhQX+6hcoAWrMcOUDfzjs70+8lSlBUF0ARO1u25H+sO3bQA1V4OH37LZORdxJADyiaD1cAiUFdu6qjJFRz7NGD5v34MbVJJCTUART1Y2VF0V3ff08PbXmNmAESwRhTpybqI7/zkp1N2+kbNy9+fiSoWVvTedS0Nnr6VLcaWl4PLhUPHtBxmZlRxJKXF4lk/fvTg55KzJs2jUSn+/d1I8I6daLoqXv36OFv5kxaX6sWPcSLRPTw+ssvdOw3b1J7z54kJhw/Tu931ao09qRJ9HDcp4+2+KW6Ho8eJdGxZEn1+8z5/2XGDEotTU5Wr5s1i0SanBwSKpYupevcxYWE+adPScC9dYuWu3d1rzdNfv5Zt4ro/PkUcbNggToyMTxcnd76qXn3jsTiXr3os6EyHP8Y+venCM3kZLXHXGHPk1KpLXxrejTJZNpt+d2HVAgCfekxaxa9p+/e0fgXLqijIDdsoPdcNadbt0i8OniQ3oe9e+lvkOpefPUqfQHj7f3x54fD4XA4HA6Hw/kgjLF8FwBKAIoPLEoAioLG+TcvHh4eTCxmTCxW18IyNqbXEycyVqECY+7ujI0ezViDBtQeE8PY1q3q/qGhjGVm0uLry5ggMFaqFGOrVzMmEjFmaMiYgYG6v0RCfRwcGOvTR7sOl7ExY3Pn0u8REYwxxtjJk/RaEKi9ZEmai7ExY0uWUNuzZ9QXoH0JAu3X0pKxoCBaHxfHmFTK2J07jK1fT+OMHctY69bUbmhI25ma0k+AMZmMMTs7+v377+lnZCTtq3Rpet2xIx0nQOOLRLQIAp1HkYixvn0ZmzSJXkul1HfuXMbS0qhftWqM3b3LWMOG6nMhEjFmYkL9O3akfQYEqI9L1W/FCqYXzXOoIieHxj10iF77+jK2Zo3+7fOyfj2ddxXx8Yw1aULHpcLZmbH589WvmzSha0dF+fKMHT9Ov585Q+dQc44f2l5zvhcu0PmMi6PXz57Rubx5U3fuOTmMbd9O5/LIkcIdb5Hx9aWF89kpW07JDAyVzMREyUxNlczUlLFOnagt73XLGGPDhtHn4/Rpej1rFn0Gzc0Zs7amt/HiRWobMoSxLl1093nlCt1rEhMZmzGDMX9/7fY2bWgfUVHa27RuzZiFBe3H05Ox4GBqO32asTJldPejec2fPq2+R2kuO3fqPy/lyzNmZMSYmRnt09ubsd9/Z0wuV/cJCKDPheZ4trb6x1MRGUnzGDpUva6w5ylv7UXVMZcvr9s2dWrhjvnwYbp3mpoyVqIEnbMDBxi7fJnul69f686ralXGli1j7OxZxpo2pWM2M6N70Lx5BR8/h8PhcDgcDodTGABcY/npTfk10HbwLexS0Dj/5sXDw4MJAokeRkaMbdxIi5UVYz170sN+jx70UNC9O50xc3NtMURzUYkyNjZ08j08GFu4kDGlktoMDEi8ePmSsYED6cEBYKxiRRKHxGISmTSFlLZt6WFEIqGHBWNjGt/VVS00JSer3mzGzp2j/iNG0LqoKFq/ZAljderQOpUYNXUqiVMAYx06MPb11+p5q8SoihXV+yxTRv2g4uBAfe7fJ/HNwoIetry91Q+/MplagKtalTFHR8b+/JPWVarE2Hff0c/SpUn4mzSJ2tLTSWw5f54eRO3sSLgKCKA5M0YPlYJA50D/ha8rRu3YQe9BQgK9/jtilGoO1arR7xcv0j6trRmzt6fFxITOs0xGfTTFKMYYmzJFLbQVZnvN+Q4eTNeUqq+9PZ2PsWPzPwbV9fhJ4GLUP0JCahZrsegMKz/xAHOadIA9fvXun54Sh8PhcDgcDofD4RQoRhWYpscYO1vYpXjjtT4fCgUZEY0bR6kl48dTCtbLl+qqaLt2kW+SKv2ud29KlQLI26dkSUqv6NSJDMH9/SltbckSSsXy8qJ0ijZtKA1GJqOx//xT7avy6BHtR6GgNLHp08kXat06Shvs0oWqM6WmUmrg8+eUYqGqlKfpp1SqFKWM3bmjfaybNpEn1cSJ5GnFGKWIrFxJqWH79umm6AGUDiYIav+n2bMpDTA9ndLDVOk4qalU9UkfSiV5mzg7q812g4OB5cuB6tXJqysqSu1//eABpZg1bEjG4yqPrLQ0OkdHj5IZ8zffUMrbh6yKkpLIT2nECDr+gjyqCktiIqVbVqumPp4WLSg1TzNNJyMjf8+YMWPoWrp1q2jbZ2VRmqbKq0q1LFtGxymXU0rUwYP0viiVNIbqevwktG9Py7+Ihg2pKuGXjELJ8OR1GgD6TEe9KWJpOQ6Hw+FwOBwOh8P53OSnUulbABgC+BrAQgALAAwAYFiUMf5tS+XKIxmgTl3atImiR0xMKMqkRg1KYWjdmiJUli6lnxERFMVSqhSlN+zaRZEpFSpQ5JQqZW3aNEoJuXuXon9sbNTpFMbGND7AWFISY8OHU7SRWEwRUCYmlDIhEjF24oQ6nUOpZOzFC8Zq1dJOpyPlkebWqBFF2DCmjoySSChdY+RIOgZVRFi7drTfefNobMa0I6OWLaNoIj8/in5at46ipQCKJuvVi7HoaEr9sbZmzM2NMR8fOu6zZ6mfuzuNMW0anSOAUsccHOh8LV5Mc1GlS7q7q9N3GKMUl2+/pf2poqxUEUIeHhT1pavC0pimpjSvxo0Z27xZu4+vL6WxaKa/qKLH8rJ+Pb0Xqn52dnTsr15RiqaVFWP79uluN2wYY1270u95I6MYo1SfLl0Kt72vL0WWbd1K5y4nR7tvZiZdj/v30zVZvz6Na27OWPXqdAz/L2zeTNfMl05qZg5bfyGSOU85xDotv8Bev8v6p6fE4XA4HA6Hw+FwOAVGRgnU/mEEQagK4AgACwCqmJsaAFIAtGaMPShOkexzUaHCNBYdPRtHj6qNwgEydB07lgy6Bw+myJzZsykixdERmDePDMr1ERFBASKVKwMPH1KUVYkSQLlytGzdSv2++47KaT9/TpFHgkARLOPHk8mvIFA00/ff03yaNqWqVIxRRJa5Of3UrAwnCNQHoIgaIyNgyBCKnLp7l8xqAYqamTiRjm32bMDJicyyJRJqT0ujiKT166nv8uV0PLt20f7d3SmSaedOqqQH0Pq2bcnINzubDJCrVCEDeDs7YNs2Or7584G1a4FXryhKrHVrijB68YKqeG3cSOOJRGQSLxJRFNS4cVR9UPVeqNi2jdoiI6n/l0ydOsCPP1IUHoejIi1LjkyZHCKRAFvTL/xDwOFwOBwOh8PhcP4TCIJwnTFWV19bgWl6eVgK4CaAcoyxRoyxRgDKAQgHsOTvT/OfQSJJgSCoBRUVvXpROplUSgKNTEbrjYxItPnqKxJJFAoSYQYNIiGGMRJt+vQhceXJE0ohi4mhFCyxWL2PZcuAM2fo95wcWhYupHWq/ZUoQftr2JCEnLQ0So+LjaVqR5Uqac+bMWpPTwe+/prS8hYvptStgADtvs7O2qLOnj1UHSo5mdK81q9Xtxkakoh2+zalEe7fT+dCE0Gg6RrqDAAAIABJREFUFLD27emY4+KoKpOnJxAfT31EIqr+FhFBlZ9KliQxCiCRacMGOoboaKBlS6owl5ZGYhNAwpjmnAGqMvfy5ZcvRN27R+mLtWsXbbstW6jKoZkZpXC2aUPVtgBKCezQQS1uNmkCXLqk3vbZM3pf27XTHrNvX3WFSYDeyzGOO1HO6BXMzOgzMGYMXbsAiZ3GxjQH1TJyJLUFBdHnwswMsLAgofPAgTxjjyEhN7+xT5xQ93/xglJlbW1JhPX01B4PoGOqUUO7QuW0aSR2/hcxM5LAztyIC1EcDofD4XA4HA7nP0FRxKgGAKYwxt6pVrz/fSqAhsU9sc+FmdltGBmREJMf5crRQ7kmUVHkgSQSkfCyfTsJLw4OtCxeTGXLw8MLPxexmKKijIzUXlI+PiSy7N6t3Tc9nTyAmjXLf7yAAJrX8ePkG1Qcdj6uruRfNWdO4bdp3hy4coUEOU2uXqV1TZvqblO2LPk73b379+b7pTBxIolz8+YB5csXfrtFi0i4mTKFItGio4HhwylC7ulToEEDEmWiokjg7NyZ9nP5svY4oaHAxYv695GTQ9fhvXQnHKkxAe/ekaBla6sdtbd/PwmLquX339VtPj60LjmZfMB69CCfr9yx7wFHjiDfsVUkJZFwa2BA2yQkUIRjnz5qzzcVsbEUccjhcDgcDofD4XA4nM9LUcSoLABWetZbvm/7TyIWp+Onn0j42LOHUttkMhJ6JkygPl27khH0sWMUCRUbS9E5vXpR+549JCRpGk8/eAA0akSRPkVl0iRKZcvKooiVGTMope/IEZrbs2dk5u3oSKl0+dGoEaXKffstzdXAQH+/bLkCQOHSNQGaz/r1JBwUhubNSVDo2pUEAoWCxA1/f2DYMIrQevuWxn3yhKJVEhLIvN3bu9DT+qKZN4+iv0aNKvw2KSmU0rd8OQmIpqYU6efnR2mggYEkAv38M2BjQ5FRo0bRNTVxovZYEyZQ5JA+Nmwgkeuv6tNR1fQ5RCKKeJs+naIFi4JIRBF9mZmUdpk79l9kpP+hsRcvpuiptWtJFDY2poIDU6eS0KuZlTxhAl1zcnnR5sjhcDgcDofD4XA4nL9HUcSo/QDWCILQQBAE8fulIYBVAPZ9mul9HsaNowiS2bPJ26hsWYraUPnyVKtGKWqTJ9NDu48PpaPNmEHtwcHAwIEUQaWKjHJwoDQkVWWzotCuHWBtDaxZQ68nTKBIpO+/pzQmLy+a48mTBaemCQJVx3v+XH+VPIDhWUI6xm0Lx7ssOfz8mFYaVefO+setUIEEi/QiFO3atYtSwFq3prH79qUImGXLqN3AgES25s3pGKtXp2MLCir8PjjaXL5MgmZ+7+Px4yRq5qVHD4qCyshQrxsxAnj8WDsdTsWJE+/fV/EHShoWArmcqkyamZFImTu2WeG2P36cRE9Rnjtbjx4kaj1+rF7XpQtda/wa4/w/kDedFaC/EU+eaK8LDKT7s4rCpMkWNgW3Vi3dlNnsbPrbWq4cjePsTGJ5Ie0s/9M0bkx/67Oz1esGDNAv/DduTPdGTc6coS+lVDAG/PYb/f00NVVXoVVV1tU3tioVW/V/yoAB9PdY8/2sVetvHCSHw+FwOBxOPkiK0Hc0gGAA5wEo3q8TgYSoMcU8r8+Ovz8t+eHnR4s+jhzRv75HD1pUaHrsqHBy0v2nWxAogkiTb76hpagEBurf74ABQLuu2eixKgxRCemwGBCH4N614VertN6+eb10VqxQpxLm3Z8+jIwoumfePP3tpqYk6n0KXqdm4cbzZFSyM0UZK2OYGBblsv/vkphInmOSfA43IYE8pPJSqhRFp719q15nZETRRdOmaRv9q/bj4QHgecHz6dRJey4LFpCBPkCRclZW1F65MkVCWVpqjF1ICjomVbuLC/0uCMCsWcDQoQVHGHI4/6+o0mStrOjvnKsrfYZWraI0WVV04v79uvcFFT4+5FGnVNIXLL16ka+b1fs46+7dyVPw0CEa/9o1+jzGxJCw8qXy7Blw/jzd5/bt0//FQFEZPZqiuNesoRRshYLupQcPUjp2YZkwQdebkcPhcDgcDqe4KfRTOWMsGUBHQRCcAbgCEADcZ4w9KXjLfzmPHum6l/foQcY6GRn6c4FU6kxCAtCtm277sGHkqh0To/8pd/x4UrYePaJSd3lRPfHfukVfQedlzhygfn0yz5kyRbd9yRJygT5xQv9/lKtWAS4uMDh8CItW/oRsGWmLlU6YAWaGVM6ubFkqU7dype72O3eSyhEUpD+s5NAhKum3YgWZVuVF5dq+cKHu1+TGxpQjCZBScPKkdrutLYVZAfR1el5zI0dHKkEIAGPGQHb9BuLjU2GVLUcigJK+dYGN753Zv/1WO1QGoPO25L0ff9++9NSkiY8PMHcu/d61K6klmjRrRjlkADmFZ+aJFmrfnkLcAN3rDijWa8923jIkvJoLuW9LSIT3+rHGtVdCZIe4MasBBw01ddo0xImbQyRisO7VGq9l1gBCgGbNMJgBC6IPYv9+I+DNG+DCQeBMEGzv/4i4OzmA+UsounVBjjITohOnIJmjoTzGb8Mul/nwDRkA5lIFov0HIVn8GxSbAWV8a3iZtsc595GQBa8FK+sI8badUDReA5v7MxB7RwZFKJmU5WzfDJQoAXHQRog3bModWzF+PhTW12FjfRLRsUDO8uUQ71Abrb3ILAVgG8xsspCpZACMofDvjVbGL1E25Xf8Uf0UlMqSUDTsgUylDJLZcyE6dUb73NrYIGcnlcKUTPkRotArWs2sTBnINq4DAEjH/gAh/LZ2u3NlyFYtp/YhIyBEaN86Wa2akC1eQO39vobw8qVWu9LbC/I5PwEADLr1JoMszfamjSGfNpna23aksDjN9nZtIB9P9xODpq2QF0X3LlAMGwJkZMCgvW44naJ/XygG9AMSEmDQQ1e5VwwZDEXPbhBiXkAaoKucy8eOgtKvHYRHjyEd9p1u+5SJUDZvCuFWOKTjJui2z54JZX1viC6FQjJthk67bNF8MPdauteeqn3lMq1rT6dd49oTr1qj06732tNsP/AXYGIC8cpVWtdebvupowAAya9LIDp4WLvRyAg5h6jU6ae69hj+RLZSBvngYRrX3jko/HtD7m2be+0pdx0Ee20BRePZCIprh+iowTg28lcYuU5DNgDbob0xJSkJOAko5gOI3wb5xqPIbNoTgPa1p4xvDRbXHrIFByEfPwbd/IGhQ43xsOm3qGfxECff1sGxO/Nw76eNKF3VH7KMDNSb1BnB5m5otGwFRlzpi8rGL7/Iay/oWQC8zDzhaXIf6/9oj/ZdRRBv2wl2pASUhm+guKAOg8rZvhlKlIb8wgUoNk1XH3eyO/BmGjLTxHjy0hTLfzfABfdh8PyJihtLAPQCXXuZSkB5NwLK07e0xlaw8gA2IlOZCaOf5oId8dHeP7/vfXHXnlb7F37f49cev/b4tcevPZ32/8i1J53yI8ShYRA02/M85+LWLe3tq1QBVq+m3/+Nz7l6KHKICGMsAkBEUbfjfD4YY3iVkonY529RTa6EgVgEQdDtZ24ogYu9OZ4npsPYQAIrY2mxziPosgt+vbYOTzNLw0KcgS525zC3whpYgvQUxxcNMBtqMepZlgMqnA2BTE4RMk6LvsOf5ZLR3Po6guJbY+CjSZhffQN+0NiH4+Ud2OT2M0JeN8WmVy0AkYCc7RRtZijMAxQK1DC4gcV2w8AYUGP3PJhdJ38vTRrfWoLQd1URUWkOyr5fdyKuGgaFLsQz717afRuTMX28rwT/5tplPhb3YCTKwZ6Ehuhmd1anvbn1dex40xgDHbRD+7ZvB3xqpsNEnA3I1OulIgVmDIzB9OnOqFZSe5xpUd8g3bkS9rRRIjFlDcqlP0Y9eVxuHwUUeKtIws7UnUhOsYdTxh3Uft+eokiBjOUgXh6H4+9CkJZijcoZ11FDHoe6FiexIHosIrOTYSLOxOF3m5ElNYNrZijc3m+vGjteHgfb+tcRtMMZzQdehovG/te98kNpg1ics9+N8ykAMBJv5K9hJo/DmHLzMOLREnRwOIjHsgisTTmJulk3UFZjewDIkr3D4ZS1dG6zw+GQpz1Nlonj79sbZt+DXZ725BwFTr9vb5LzCFby11rtb7LFuPC+vYXsCczk2qZs8dnhuPy+vY3sGYzk2nmyMVk3cO19u5/8BSRymVb7s8yruPm+vXOeuQFAROYl3E2RQJKRAz897Q8yz+FhSg6M3qWhjZ72Oxmn8CQlBWbv3qKFnvabGcfxLCUeVqmv0ERPe1j6YbxIiUKJtBdopKf9ctp+xKfcg0NaJHz0tJ9P24OElGtwTH+ode2pOK3n2tMk77WXF33Xnib7U4IhlxmgeuYlOOtp/+v9ua+deRVOedrlcin2v2//VNdemjINh9NPwSnPtfdG/hqZ2fG5116S0gCZTIp4eRwOJlXDV1ZnEMnC8r32FFDgcU4Enui59lSf7auZV3E9aR0urK8OqeADY0k44uVJ2JvoBnfzcMQYHcPhlKzca6+8SRxKGcZjT2Jl9HW49kVee0GvmuPb0utQ2zwcv5/rhsURQaiTcQGZzA/pyjTEa4xz+N1mxMn74bEsQmt9kqIsFFAiOGUTzhysDTvL6ihncgrxeawBVNdegqIqrPOMHcfITHJdyjp4Zd1AJnPX2j+/7315154mX/p9j197/Nrj1x6/9vLyX7n2vLJvojrLgrGQp3z9F4bAimDMIAhCTwDNAJREHr8pxliH4p3a56Fu3brs2rVr//Q0ipXX77LQftkFvE7NhrmhBCfG+8LeIv8LOS1LBqlYBEOpuNjm8OuvZMIeHEwi6suXFPCTmEgpG4MHk7irGbj17Bn5Uclk78UoJ/LIaN6cArDGj6fUqshI8h8B1AKxpvgaGEg+KJs20bFtuxaDnw8+gF1aWdxdXwMKuYDz54F69dTbNG5Mvhpdu6oF5RMngEGDtCspPnsGVKpEqRWrVhVPasWnZNEiSo1ctYqq5EmldFynT9N7UK8e+UGNH09tQUFkoH/sGKV55H1PFAryI3n9mkz1AwPJ76RhQ8DWSgGfaRthUT0FmclGuBRUA2VqvEHVFs8ws9ZA9Fp6Ai6NY3TmeGWLG0I3Vsfowzt02uTZYixt2x2m1pnoPOcc7Cq/LXDs9CQjLPDtgypfxSDxuTmcPONQuloito9tip5LTqJOlwjcOVQRa/v6YXJoMN69NsXyDt1QouJbZLw1QrXWUfBffhyJ0eaY5f41fn39G8QS7Xvk4V+8cHxRPUiNKNrMwj4dLk2i0WLcVVg6kNFWxIUyWNGxK6Qm2v8gDNv1F5QKEVb16KhzrLIMKer1vo8+v6uNfQ7/4oWj870x9ngIynu80jpnIaOaQ2oshyAw2JZ/h3bTLqNaqygAwPZxTXFth4vW+EwpQJYpxXcHdqBS/Vhax4DZdQZAYijH5FDdb384Xw76PoNjbEZj6rUg2FVMyV13+BcvJERZod+qo1jRuTPKur+G34x8Smm+Hzc9yQgisfpz0nHmefgE3MOVLW7YNro5DExlyMmQQCxh6LP8GGp3pu+zQkY1Q3a6FAFrdXPdF7fogWqto9ByfFhxHP6/isjQ0vi9Qxf89OBPmNlmYY5XP9QPuIvGw29i84gWsCqdhnZTtaN+l/l1Rd3uD+HTX53DH3GhDDYNaYWZ99bh2K/1cO9IBYw9rica+T2bR7TAzd1VIDFU5K5jSiA7zTD3XqevT422T+G/4ngxngEOh8PhcDgFYQADNDdtDmcD5396Kn8bQRCuM8bq6msrdGSUIAgLQN5QpwHEoijl1ziflSy5Eq9TyRE1NVuOd5myAsUoMyPtiKgcuRLp2XKYGIphKCm6QPXuHZm7r1tH5tMACUvbtwMVKwJbthR5SACAmxuZvS5erDaP/xBmRlL0rFsWfjVLY+wIKSp3FJCZSSKZphgFUCW5hQvJL6NyZf3jbdhAFf68vGiMf7sYNW4cYG9Pop+/P1XM8/Ag/ydnZxIGJ02i90epBOrWBY4eJSFKH2IxMHMmZQKqMDQkgWtGtb+wqmUrJEptYW6XgeptIlHeIz633599OkAQK3NfuzSOxjcbDxY4f4mhAsP/2o3Dc72xsktnZKQY6h1bhalNFkYf3oF9gQ0Qc8seTy87omyt1+j7xzHUaBsJALi2zRUAIJIwhG2tChPrTCjlImS8NS7kWQVqd45Av1VHoZCJ8PqJFY784o1fm/bG+FNbcwUpC4c0zLy3Tu/282O0018fniqH9QPaosnwm7nrGAOubXeFiXUmwkLctMQoAHCqF4/Rh3dAqQQub6iO4EGtEXh3LUwsc9Bj0Sn0WHRKq/+moS2REmeGCl7qb2GeXiqD1ARjKOUiRN+wR7k62vvgfNmIxEooZNpu/0q5CGIJfU5NbTLx7pXJB8f5ZuMBvUIzAJSvS9dpdpoUW0c1R2Ro6VwxytQ2C28i9RXpBd69MoWp7d8vivBv5OpWN7g2iYaZLaVW1On6CFdD3NBY4/OfF7FECYU8z3slE0MsVb1XWXj3yvSD+24y8oaW0KUS3gvqw+FwOBwOh/MpKEqaXn8AvRljOz/VZDjFg5mhBJ3cS2PPrVg0ci4BG1ODQm/7LlOGA7fjsP1aDLp5OKJDrdKwKGL63qVLlL7cpUueeZlReumxYxSF8zHMmkVRTN99R5UNC4OZkRQipRT79wIhIZTeOmQIRQ0ZaJyaMmUoWigwUJ2Om5cNG0jg8fIiUerVKxJ7/s0UZM5fvbqubZcm+gz28xrzAxQptqTy7/jBaTJ27h+pM86M8PX57sOrzwN49XmQb7uxRQ66zD2HLnPP6W3PO7a1YyoC/jyCnEwxfnQdjE6zz+VGAmUkG+LesQr44dxmWDqkI3x/ZfRcfBKbh7fEuJNbUa72a327yBexVIlSbkkIWHcYCxv3xpnlddBx1oUijfH2hRk2DmmF7gtPo1RVdW525OXSeBdvhp5LTmD3ZF90+vkcJAZKne1FIqBej4fYMa4ZEp5a6xWULqyrgYjzZfH96a1aESxXt7qhRptIyLIkuBrixsWo/zOsHVORFG0BBxd1tYLE55awq0Svq/jG4NAcH2SnS2BoWsSysHkwNJOh+8LTmFVnALz878Ox5htU8Y3G2T/c8faFGawd03L7Pr9uj+SX5qjS6EUBI/43yckU49YeZyiVAqa7DgJAEaCZKUZ4ebdEvttZlaH3SpPE5xawLpsKAKjyVQx2/tAY0TdLFvk+xuFwOBwOh/NPIPpwF62+tz7Yi/OPY2NqgMAO1XBlSjMs7eUOWzNtZyOFkuFdpgw5ct0H25RMGab8dQe3YpIxbc9dpGTKdPp8iISE/Ku4lSpF3tcfi7s7pZvlV5UvP3bvpgieli3JW00upwpDeZk8mSpD5a1mCFAU0fPnJMR4eFC63sdGeXE+PQbGCrh3ikBYiFvuupt7nFHS+S3KVE9A+P7KMDSVwb1TBFybPkfYNrcCRisYkZiheptIPL1cpkjbKWQiBH3dFrU6PEHdHo+02q5urYpqrSJzo0juHa2gdwylQsCVLVUhlipgXfadTnv0zZLYN6MhAtYehnnJjNz1ORkShO+rDI/uj+DR7RFu7q4CeU5R/iRw/msoZCLIssS5i3vnxzj+qyeSX5pBqQQenSmLe0crwL0Dma3W6/kQVmXSsD6gHV49toZSCaQnGeH4onq4f9ypyPs3tcmCT7+7OLrAEwDg0jgGVb6KwfoB7RD3wAZKhYBnYQ7YOKQ1Gnx9G3aVkj8w4n+PO4cqQSRmmHx5E344uwU/nN2CyaEbUdHnZe69SqkQtN4neY4ItTs/xtUtVfH8uj0YA14/scKZlbVRpwuZk9pVSkbDb25jw+A2iLhQBvIceq9v7KqCE0v0RsZzOBwOh8Ph/KMUJTJqNYC+AAI/zVQ4xYmVif5oqEyZHNefvcXKs0/R1LUkutZx1OorEQuQiATIlQxikQCxSI/z+QcoUYIEKbmc0t1evaL0LqkUMDWl9DiJhHyIBgwgQcfAgNLEAKBOHeD2bdq+RQvqp8lPPwG1apEvVEEEBlJK2ZUrlFLXowftV6kkr6k+fWhednbqfdjZASNHAj/+SIXpXr6kdMOvv6YxWrak41u6lNIRg4OBvXupIMEg+pIbc+ZQae03b6h8eYMGVJiwWjUSswCKzpJK1YLdlCm0REWRyDV0KBUj1GTvXkpPjIyk81WrFrB2LUUvcfTj2fsBVvfsgC7zzsDAWIFrIW7w7EVRWGEhbnDv9BgiMUOdbo+we5IvOs06n5v2UlQsS6UjI1mdDvsu3gyTnIZq9Zl570+tCJM90xpBqRChyxztqK+cDAlu7a0M/5XHIJYqUavDE4SFuKGW39PcPs+vOWCS09BcL56+fxyFuZ12WlP6W0OsH9AObSaFoqJ3rFbb7QOVIDFUwKXJczCFCAq5CPePVUDN9k/B+TJZ3bOT1uvGw2/AyTMOS9t2R2ayIUpUSEG/VUdyI/QKmyZblBRc36G3MMsjALH3SqB0tQQMDD6Iw794Y1X3TkhPMoZlqTR497uHpqO+LC9HFWFb3eDZ5z6sHVO11jcaFI7dk31RxTcGJ5fUw8kl6jzyCl6xGH14B9r/eBFbR7bA25dmMLfLhHe/e/AJuJPbr8svZ3FuVQp2/dAEidEWMLHKRgWvWLT6QbsS1Ic49ZsHzv7hnvtaaqjAz09Wf+QRczgcDofD4einQDFKEATNeogiAP6CILQAcBtadbYAxtio4p8ep7hJyZBjYFAYZAqGi08S0aByCS0xytJYii2DvbDtWgy6e5T9qAp7Pj4UhbT7fbXL/fvJhDwxkUSgqCigdm2KPjI2Jo+m2bMpfe/bb0mIKghXV/KP0he9pMnGjZTKt3w5cOoUcPUqsGsXkJZGaYQiERAdDaSnU/qgih9+IG8rT09KLdywAejdmzyvFArAwYGORSoF4uIoSkpFcDDt98QJEpXi44F9+6hNc76NG2sLWCo2bACsrBiCNynRbEA8mlSzg42pAZ48Afr3p3PatCkdw7FjdAz58To1C6mZclgYS2Fn/m+u+/fpqOgdC7MSmbh7qBLKecQj+qY9vt5wEG9fmCHivCPaT78EAKjRJhLbxzbDvWNOqNku8qP2lRJrChMrdXndgjyjAODGriq4vtMF35/ZqmUWDAC3D1aCWMJQtcUzAEDd7g+xonMXpCUYw6wECU4FefEAlF65aUhrlK31Gk1G6HrRXN1aFbU7RZBBu0SBmu2f4GqI298SoxKeWSDibFn4BHzgw8n57BSUKtvxp/xTS4uaJquJvhRcqzJp+DV+ee5rqZECHQIvokNg/ibpXxJDd+7Vu75254jcz2+/VUf19vHuex/efe/rbQOowIfv0FvwHao/iN1/ua4JuW25VCxJWqrVR18/DofD4XA4nOLmQ5FRNfK8Vv2H45pnPTcz/w8hEgSo3jKxoB35ZGIggWcFW9QtbwPRR0RFAeQfNGMG+ToBFOH07BlV07OzIyGla1eqtufjA5QuDcTGkiDVq1fh9uHrS5FDhvloLK9f05hr1pDA5ewMnDlDbX37Al99RZXjQkJonpq+T1ZWVF1u/nwSoy5coHHEYqq49+wZVQgMC6Poqago9bZhYUCrViREASRcfftt4c9dUDBDtQ7RuLTDAUPnxOO3KQr09iyHW7eoql2zZtTP3JzOYX68Ts1C9z8u43liBirZmSLkW2/YmX/i0qADBuBh+slPu4+PoG7PBwjb5obXT6zh0iQa5iUzcHxRPTClCGv6+OX2k2WJcW2b20eJUUolcPdoRbj4Rheqf/wja2wb2xQBa4/ApmyqTnvYVjdkp0sxsyYZCzMmQCET4/quKvAdEq7VV58XDwAcW+iJhChLjD8ZojN+8ksS46Jv2CN8P7n152RIIM+WIC3RKNdYuSjIs8UIGdU8X9GCw+FwOBwOh8PhcFQUKEYxxpp8rolwPg82pgbYMtgLa85HoblbSZTMJ2LmY4UoFRMmALa2JNZ06EBpcI0akfG3sTGlrG3dSml6588DmzdTGl1hq+RZW5M4ExGhvz0yEvDzo6pvAQFAw4YkDAEUlbR6NUU0/fEHpeXlZfRoSsUTi4EmTYBly4CBA4Fy5YCVK4F27egYRo4kcUvxPrDF25uq8pUpQ9vVrk1jFIbz54HYl4CzayxMXRnS7zki6k0SAEpdfPgQGDuWzme9eiSU5Ud6tgLPE8kf6OmbdGTkKPLvXFwMGICHb9MB/D2j4+KmXq8HOP6rJ2Lv2aLzzySUhG1zRasJoWgwUJ3iEn3DHusHtkV6klq0k2eLoZSrtXaxgfZ5VMhEeBNpiSPzvJH62qTAalgqstMlWB/QDr5DbuVGPmmSHGuKx+fKYsj2vShdLSF3/dk/aiMsxE1HjAK0vXi+2XgQj86UxallHhh9ZDuMLHJ0+odtd4VdpWSM3LdLa/3S1j1wY5cLvvpWdx8fQmKowMh9u4u8HYfD4XA4HA6Hw/n/oyieUQAAQRBKAKgE4BZjLLv4p8T5lBhIRPAob4NqpS1hKBFBED4sOt24ATx9CnTvXrR9ffMNVb9LSCBvpPPngZIlKYUNILHIz4+ik1JSKPpozRqgY0dKd7twgQQngESrAQO0x/f0BB4/1t3vhAlUKa9PH0qlGzSI0uVUTJ5MYtaWLeQ7VaYMMHcuiVYqzMwougqgynqzZgG//koRMJs3k1AFkIC2YoVacOrbl1Il1q8nzyojI0r7mzTpw+crOBho3Rr4uV9V9HvxBOEra8PPhaonVaxIkV2LFtE+U1Mpiuz33/WLUmaGErg6mONhfCqql7GAiUGRP+pFJyEBRslpSLP9xBFYRcS2XCqcPOMQe7cEqreJwrMwByRFW6DRoNu5KW8AUL1NFOwqpODGriqo2orC3SaWHaE11rD3uac3/3LGnUMVASbAwiEdLo2jMf7UVliWSs+zVyzTAAAgAElEQVTt+y7eDBPKDtPa3n/5cWRnSPDqsS3OrLTAmT9qa7VX9I5F5QYvUabGG7g21Y6y+urbWzi9vDbi7tvqPU5NL54Ti+shO02KRc17alXPA4Aei04hLMQNDb6+jaWte0BiKMfkUCofWX/gHYSFuMG5UQz2TP0K0TftwZiAEhWS0XZKqF7xTEXEhTJY3qEb/AIvoNmo61ptKfEmODzXB/ePOyEr1QDmJTJRsf5LNB99DfZV3iLiQhlsGtJKJ61xmV9X1O3+ED797+HwL15IiLLKTWEaYzMaU68Fwa5iit75ZKdLMN11MCr5xGLIdu3UqMjQ0tg3owHiH9pCJGawr5KEznPO8WqCHA6Hw+FwOBzOZ6LQT6iCIJgDWAegKyjHyxlApCAIfwCIZ4wFfpIZcj4JRtLCheskJlIa27ZtH7+vPXvIMyo4GAgPpxS7+/fVkUrff08pesXFX3+R+NW2Lb3296f9v3lDaYJiMTBiBC2ZmWqDck9P8qLKS5culGIYGgpkZNDSrl3++/f3p0Umo2P396cIqVat8t8mMxPYsQP4808BbqUscGxuNXgeEnDygDFqjKE+3t7kWwVQOmDPnsDPP5OQlhc7c0Ns/MYTGTkKmBhIPo9nVLduaC1/iZ379YSa/cN8t18dAeRULx4L45br7Tfp8qbc3zV9VDRxaRyDNpMKNgR2bvgSixN/y7fds9fDArdvPkbXvNmyVDoWvf4dAFCqamKBXjwj9u7GzFoD0WvpCbg0jtEZq273R3hysQxSE4yhlIsQfcMe5eq8QrNR19Fs1HXMqj0ADQbexuAQMjyLvmEPoGDhOmxrVZhYZyJsq5uWGJWeZISlrXuggmccRh3cCVunFGS+M8CdA5Xx6Ew52Fd5W+C4H0v4PmdIDBR4dLocUuJNYOlAkYJZ7wywulcHdP/1FGp3ioA8R4TIy2V0fLs4HA6Hw+FwOBzOp6ModbznASgNoA4AzZJNBwB0Ls5Jcf492NoCFy+S8fjfJSCAInvEYop6+lQEB5MvVblyJHh1707C0Natun2NjUmUsrYmgUwfJiZAt25kLr5xI0UkGegvVqiFVEr7rlkTuHu34L5//UXV+YYPB8qUFlDD2QhxsQI2bNDfv149EskKGtfO3AjlbU3/b83LOQVzdasbarSJRNUWz3A1RK3CpiUaIfG5JbwD7kJioITEQImK3nE61fg0ycmQIHx/ZXSbfwZvIq0QfbNkbtuZlbVhZJ4D/z+OokSFFAgCYGKZAy//+x+VDlhYwkLc0GDgHZSuloDrO9Q2h6+fWgEAPLpSJUUDYwVcm0ZrpURyOBwOh8PhcDicT0tRxKgOAMYwxm5B27D8AYCKxTqr/1OcnNQpbHm5dImqqJmbk0G4n5+ueDJnDqW1mZmReNSzZ8H727IFqFuX+pcqRRXl8opEQUGUdqaKyFFx5gxVcjMzozm5uFBqmiaCAMTEqP2UGKNqcAkJ2il/GzdSOpuZmXrxU/tKQyoFhg6lCnhZWZQqt24dpdhlZanNxc3MAFNT4Phxen3kCHDrFvlDlS5Nfks2NnSO/viDopHkchKvUlMpeik/AgIoOmzXLu10vrwEBQEHD9J4SiVw+DBV0fPyyn8bgObw9ddkkH7rFi0XL9LPO3fUJuqq1MGHD6lKn7d3weNyOPrIyZAgfF9leHR/BI9uj3BzdxXIc+jPgalNFkpUTMamIa1x+2BFpL42+eB44fsrw9BUBvdOEXBt+hxh29Ti1uMzZVGj3dMCKz8WN29fmOPJBUd4dHsEj24PteZTslIyRGIlNg9vgfvHyyMjmYu1HA6Hw+FwOBzO56YoRjLWABL1rDcHwPMbPiGXLwMtW1JK1t69FOWzaBHQoAFw/Tr5CQUHk6hz4gRVcouPJ7EiPxYtAn75hUSZVq0o0ufIERq/YUN1v+BgEnCCg8mrSJPSpYEXL0hkOnyYjLXr1ydhSoVIRMKSgQGJU9bWFK2k6eEUE0OCkwojI2D/fqpap2LVKloAEpsA4MoVimxSYWVFhuI7dtB5ASjaKCCAhLpRo4Bjx+g8LV0KTJxIc6pShUSmigVIql99RSKgoSFFJeWHhQXtS2VqXr48GZ5rntO8vHwJnDxJqYrt25PQZG4OuLtT6mBwMPllLV9OlfkMDekc9uxJ/lhnzpBZeufOJPapCA+nMXx91ZUEBYEivQSBjqdnT2DBArXnVWAgMHMmnVtPT/VYQUFk4D52LF07Kvbsof0GBABBAGKyymCMzWgYmGqbZvdaegJ1ukRg84gWCNtaFWOPh6C8B/nzvIm0xM91B2BJ0lL84tMXSS/MAQCyTAnEUiVEEiUAoMXYa2gxLgzJL82wf2YDPDhZHvJsCRxcE9Hqh6uo1ioKnMJx+0AlSAwVcGnyHEwhgkIuwv1jFVCz/VMIAjBy7y6cWFoXe6c3QtJzS1TwjkXv307ArlKy3vHCQtzg3okijep0e4Tdk3zRadZ5iKVKpCcZw8I+I7fv3cMVsGlYKzClAKe6cRi2e0+xH19YiCtKVUuAg2sSjC2zsS+wIV7ctoNjzTcwssjBqEM7cPK3utg2phlSX5vCrcUz9FpyEuYlMz48OOejmFlrINLemEAQKyGWKFHBMw7dfz0Fa8c0LW8wFSofsTFHd2CuT9/c9TnpBjAwkQECfSc2ZPteVPKJxZUtbtg6siUC1h5C7c4RWuOs6NgVUhMZBAGwcEhH89HX4OWv/jaHMeD0sjq4tKEGUmLNYGqbibo9HqL1xFBIDOj+U9AcVV5nY2xGa80NAFr9cFXHQ43D4XA4HA6HUzQxKgwUHbXk/WvVf1tDAFwqzklxtJkwAejfnyq8qZg9mwSXwEBKHwsLI1GpUiVqd3Ag4UIfKSnAjz9SJFOXLur1KkNxFc+fA2fPkrjTsyfw6hVgb687niCQP5ONDXD7trYYNWMGiSI7dtDrbt0oAmnaNHodFESiU9++ZDSuiZMTcPo0tXXuTKl3quircuWAn34ikSYoCPjzT3VUl6ZZuMrgfPhwWgCKBisqgkAV+vShEnoAOp+a5zQ/NLcpUwaYP1+/OHjuHIlFAAl5NjYUDXXwoPZ4dnYUPZeYSKmVAIlYVaro7js8HKhcmUSvxo2pz9Ch9EC2caNafNQUowC6trZto7lK3t85NmzQv4+5UX9ALGG6DQBMrDNx6GcfvSKEpmeTvoe/9LeGWNq2O5wbvsCkS5tgZJGNO4cqYcPgVui97ATcOz7Ru0+ONle3VkXtThH0HkkUqNn+Ca6GuKFm+6cAyH+q2/wzAIC3L8ywbWwzbBrWEmOPbdcZ6+0LM0Scd0T76fRnoEabSGwf2wz3jjmhZrtImFhn4V28aW7/6m2i8MuzP3B5QzVce58+J5YwKOS6PnZKmQhiqbLIxxe2zQ0+/SiH1bJUOio3eImrW93gWPMNAMDB5S38l5Oq/eqxNTYNbYXdU75CwJ9HirwvTuEZtGUfXBrHQJYlxo7vm2DXpMYYtOlAgdtYO6ZifszK3NdjbEbjh3ObdYzrw0LcyLMsxE1LjAIAC4c0zLy3DowBD0444c8+fnDyjIW9M4mruyf54sFJJ/ivOIpydV7hdYQ1tn7XAq8jrPH1hjw32w+gb24cDofD4XA4HF2KkjgxBcAsQRDWgESscYIgnALQD8C0TzE5DpllX7qkv5Jdjx7qKCFvbxIGFiwArl1Tp8bp4/JlSm/r/AGnrw0bSLjp2pWMvTdv1t9PqaQorIQEEjk06dSJBJXkZFrOn6dqeUVl6lSKXnr0qGjbValCUT8BARS99fbTeCX/LVTi4PLlJGSZmlKkmJ+fWohSCYOrVwNHj5IwqImBAZ3rkBB6rVBQaqW/f/77dXUFGjVS+06dPw/ExlLUWEgIkKMd3AQHB6BGDdo/ACQl0bXZocP7DsOG4VH3AsLG3lOv1wPE3i+BJxfLfLBvXs6uqA1D0xz0WnYcFvYZMDBWwKPrY7QYH4a90xuB6de/OBokvyTx6Np2V0x3HYTproMQvq8yHhx3QlqibiVEa8c0NBp0G/EP9Vfxu7bdDUwpwpo+fpjuOgiz6gyALEuMa+9T46r4xuDOoYpQFqApWTumIj3RCNlp6hBJxoCkGHNYl31XpOOLulIKb55a48SSernH9/y6A27sdoFCrmvCbl/lLTx730f8A/3Hxyl+pEYKuHd8glePbIplvKQYczy96Iiei0/h4any+aaWCgJQtcUzmFhnIe5eCQDAm6dWuLC2JvqtOoIKnvEQSxhKuSVhYNBB3Dvm9FH3KQ6Hw+FwOBzOhyl0ZBRj7JIgCPUBfA/gKYBmAG4A8GGM3flE8/u/JymJxJ5SpXTbSpUiAQig6CFBoMihwEBKdfvhB+0oIRWJiUCJEurolvzYsIHMvQGgTx+Klhk3Tt0eG0upcSrvpUWLdH2XjIxIVNm2jR4uO3SgdXkZNYqq6qn47jtg1iz1awcHit758Uf9lf1CQ2kuKmxtgadPKW3uwgVg3jxg8GBKD2zblvyX9EV5/RMURhzUJwxqvhcARc+NHUvv2dGjQLVqlEqZH/fvkwD188/0OjiY3quePSkK78AB3Siv/v1pLu3akWDVsSOlDQIAevbE8/BsQM81p4mBiRzNx4bh4Oz6GH14R8Gd8/DoTDnU8tP1H6rdKQIHZjbE6ydWudEOHIDJJKie3Qh2KI10pCFccgZh211hVykZI/ft0uq7tHUP3Njlgro9HuLsytqo2/MBbJ1SkPHWCFc2V0V5j3i9+wjb5opWE0LRYKD6z0D0DXusH9gW6UlGaDz8Bq5td8Xmoa3QZnIobJ1SkJ0mxcu7drn9rR1TUd4jHvtnNoDfjIsQS5U4u8odIgmDU139+wUARY4Ysix1RJVYqsTVEDe4NH4O/5XHctfLsiSY38gfD044wa5iMu4fc0LtzhGwKpOGty/McGOXC8oXsB9O8ZKTIcHNv5yL7ZyHhbihbO1XqNXhCeyrJOHaDhc0GXFTp59SCdw/WgHpicYo8T566fG5srAqnZabNqzC2jENTnXj8eh0OVRu8LJY5snhfAwru3ZCeY94tJ0SqrX+zqGK2D6uKQLvrkXI6OawKp2GdlMvAwBCN1bDqd/rICXODFJjOcq5v0L/Pw8j6Ou2iAylfwzk2WIIAiA2oG8v63Z/hB6LTiE7XYLproNRyScWQ7bv/eD8GANm1xkAiaEck0M3abXpi3AGgMRoc8xy/zrflH4AiL5ZEkfmeSPqSikwJsDSIQ012z9Fk5E3YGKVjStb3BAyqjmkxnIIAoNt+XdoN+1ybsp+YfbB4XA4nH+WoqTp4b3oVIB9M6e4sbYm36W4OIpk0SQujkQlFf7+tMhk5OXj70/iUKtW6j7ZcgVERgokJEiRnqWEqZFuagxA5tlRUVQ5DiAxaupUMtR2d6d1Ks+o7GwSvU6dAsaM0R2rf39g8mT6h2XePP3H+dtvuml6eZk4kVLFwvUU4PL2zr9Cn5sbpfIBlJrWty/NU191vY8lNUuGzBwFpBIRrE0KUWpPg8KIgx8SBgHy60pKouixDRvovGdm6o5Vpw5Fi9nY0DkfOJAi8HbsoO2kUkqnDA7WFaM6dybBKyWF+v76K0WcAQBiYmASRw94UysP0dpuzNFtcHBRh6U1GHAXp3/3wP3j5fP1IdJHepIxLBzSddZb2NO69ERjgItRufzRswP+0Hg99Ht7hO2VoeE3t7V8nACg/sA7CAtxg5f/PSTFmGNF5y5ITzKCoakMlRu+QJ/lx5CXZ2EOSIq2QKNBt2FWQn2xVW8TBbsKKbixqwoaDb6Nsce24dAcH/zWtjuy0qQwt8tARe9YdF94KnebgLWHsWfaV5hdNwBKuQiOtV5jyLa9kBrlH+b5S/1+Wq+7zjuNW3uc4b/ymM7x1e3xEGFb3dB57lk8v+6AMyvrIDPFEMaW2ajaMgodZ37CEp8cAMDafu0hEjPkpEthZpeBoTuLxy8sbJsbGn5DfxjqdHuEsBA3LTHqXbwZJjkNhSxLDKVchI6zz+WmbKYnGuXeP/JiYZ+OtARjvW35sbBxbwgaYnnA2kNwaxZdxCPicNR49rmPg7Pqo83kUAgawZ3XtrnCo9sjnZT4JxfL4MDs+hi6Yw8ca75B+ltD3DtCpphDd6jFpc0jWmgJWCrC9zlDYqDAo9PlkBJvAkuHgr30nl4qg9QEYyjlIkTfsEe5Oq8K7K9Jfin9UVdKYWW3TmgxLgy9fzsB85IZePvCHKEbq+Hl3RJwbkgCsVO9eIw+vANKJXB5Q3UED2qNwLtrYWKZ88F9cDgcDuefp9BilCAIVQEoGGOP3r9uARKm7gGYzxjjJuafAFNTwMeHhIImTbTbtm8HmjXT3UYqpbS+efMoBUslRjHGEB6TjOmXb0ApaoJlazMxcbgZBEE3dSU4mMQjlfCkYsMG3XWGhrQvFxcSwTp10m5v1IiEM0EgI++nT4t4Et5ja0si0vTpH7c9QILegAFqM/TiIDkjB2svRGHN+Uj4VrHDnM41YGtW+ApdtrYU4SaX6xekCiMMqujXD/j9d/LaWreOKibm5cYN3XTKv/6ifbdtS6/9/YHmzYE3b8iPSoWxMUVFzZ5Nc27QQEOM6tcPDdMA4Dv8/GRVgf/8SQwVaPX9FRye64P+awrv02Nqk6nlP6Ti3StaZ2qrR337P2VG+Hq0Yr3Qev613HU9v62JOlOPIIPpPlw0G3U912jZf8XxQu3DqV48FsYt19um6f9lWSodvZflUyr0PdaOaRgYdCjf9jaTrmi9XpK0VG+/RoNv613ffeHp3N8HrD+stw/n0/LNxgNwaRwDpULAnUMV8Xv7bph0eSPEEiUUcu1wR6VMXCi/sMjQUkh6boE6Xcgg0KPbIxyaXR8v7pSAYw0KHVZ5Rsmzxdg/swEizpdF42G3AACmtlm594+8vHtlihIVSGAv7By/P7OVe0ZxipUabZ9ix7imiLxcGpXqxwIAMpINce9YBYw9rhsqHn3DHk714nIFV1PrbHj2flDo/YWFuKHBwDt4cMIJ13e4oul3Nwrsf3WrG2q0iYQsS4KrIW5FEqPyY19gQ3j1uY8WY9V/v6wdU9Fmcqje/iIRUK/HQ+wY1wwJT62LZQ4cDofD+fQUxTNqLYDaACAIgiOAvQBsAIwAMLv4p/bPsGULpUOZmVEaXJs2FHETGEgRNXkRBOCJhmfy/fuUimZpSRXRmjQhXx0Vz57RNmZmtDg5kXG1ihYtqNqZqal6qVGDxKE2bUgwMDWlVLfjx9V+PUFBZGqdmkr+SGIxcO8e4OWlHjsjR4GVZyIhl+TAquFjzJxihG07lcjIoGiqw4fJLD0ri4Su1atJ8FAty5ZRephcrnseDAyA8ePJVFzfOdq/n3yl9OheRWLcODqfDwr5f9XDhxS98+IFvY6JoYgob++/Nw9N0rMVWHbqCbJkShy99wqxKVlF2t7Hh97PPfkECWgKgw4O6vd0wwbdvv36AStWkKhkot82Jd99pKWRMbyDA4mZMpn+6LH+/emc9uun21YUPP3vI/OdIW4frFTobao0jkH4/ko6/kM39zjDqkwqSlbmUVGaKEQ5KGdDF4KBWIQyVibIZtn/8Kw4/++IxAy1/J5CECsRGVoaVmVSkRRtodUn8bkFrMumfnCssBA3MAYs8O2D6a6DsLhFz9z1eZEYKuAXeAFx921x+yBFijg3ikHyS3M8v66dt/32hRmeXXNApfoUgfF35sjh/B0MjBVw7xShdU3f3OOMks5vUaZ6gk7/8nXj8ehUeRye643I0FKQZ+uPgNfH2xfmeHLBER7dHsGj20OEbdP9HGmSkyFB+L7K8Oj+CB7dHuHm7iqQ5xTl0UKX7HQJnoU5oKZf4QuSKBUCrmypCrFUUWSfQQ6Hw+H8cxQlTc8N5BEFAN0BXGGMtRUEoQmA9QAmF/fkPjeLFumvaLZ3LwlAH+LpU4oUGT6cxCGplDycWrYk4cjHR903OZmEpcuXKbpJM8JFM7Vq6lSKQvH3V/tCicWAry9VYRs3jozMLSyAOXOoT3Iy9enQgSKRVBhKRGjiYofTj17DwjMKPb+yw8J5JfDNABLOPDxof3v2UARM//50DCq++Yaq4x05QkJaXr7+mkS7/fu1q/IB5F9UECNHaqf4ubhQtcC8WFiQYDZxovb6y5d153T6NKUSXrlC721yMvlKtW+vNgYvDqRiAXbmhniTmg2pWICtadHS9CwtScQbMYKuiZYt6byfOEHHoBIG27VTb7NrF20zf772WBUqkNF5xYqF3//Ll8DJkyRG1qypXr9kCfmOTZxIYphSSSl9v/1G1/PAgXS9a3IwoXXu7/r8GuTZElRrRWUJQ0Y3R9JzC+wPpEEWNumFTrPP5/qzvHtlgpNL62p5TTQedhNhIW7YMrwljC2zcedgJaS+MYFSLqB214Ld7WfWGghZlgTTb6yHoSkpqqqKbt/t35U7319f/6YV1aWZyqDpUaHJ1KsbsGVkiw/6eoglDFe2uOHM8jpIeGYJI/Mc1Gj3FO1/vKiVVlBcXBNOYd23bXH3RRpc7M1wXxQKBQ9i5fzDMAbcPVwRmclGsK+SBEOzHGwe1gq1/J6gXJ1XePPUCmdW1obv0FsFjiPLEuPmniroufgUqraMyl0fvr8yji7wQgc9qZcSAyWajLiBYwu8ULNdJEpWTkb9gXewcUhr9F1J1fRePaZqehU841ClMaXY1e78+KPmyOEUB569H2B1zw7oMu8MDIwVuBbiBs9e+r+Vq+QTi4HBB3BxXU2cXeUOpUKAT/+76PjTBYjEBaerhYW4olS1BDi4JsHYMhv7AhvixW273CirvNw+UAkSQwVcmjwHU4igkItw/1iF3MqsH0JfSr+RmQxMKYJFSXUE774ZDXApuAaUchGajwlDy+/DAADPrzlgktNQ5GRIIJYw9P3jKMztMj+4D03bAA6Hw+H8cxRFjBIDUD0tNQOgyqd4CuBfYgX98agqmq1fr+2T4+dHS2Dgh8cIDCTBSWUIDZAx94MH9EB/7pzuNj4+JNTcvauOmoqI0E2jatiQ0suePAE2vc9+uX8f+PNPSqXq0oWWDRtIUPr+ezLp1kQiFqGDe2l4VqAKRg6WRrAK1A1Vql9fnRKmiZGR2jAdUEcbqTAx0W7Pr7JZ5crabWfO6O8HAI0b6+5nwgRaVAwYQEt+bNetRl+s2JkbYs+IBrj0JAG1y1nBpohiFECior29WnhUiYMNGhRdGNQUIAvDxo0khrZsqb1+1ChKv1y9mva9fDkQFkbX9y+/QMdEXJPJFYaCvY9eYgz/Y++8w6Oo3jZ8T3bTC2mQQoBAKAmdECD0AKFJEemCCIgKiAI/EUQRERVFBQW7YqEooShSpEmogkASSmgh1CQQSID0Xnbn++Nks9nspmH4QJ37uvYiOXPmnDOzw2bnmfd9Xh577Rg9pp0qFnZ09JwRwbkdDUi46ErniWf54ekBvHtpRZlfmG2dc5mxcyOf9BlJ5l0bzMw1eDS7R5shlzi6ugWbXuvOsMUHy1yXtlDi0Ddt6P1yeKXPT2l0HhWlqYyvx/7P27D3swDGfvEHjbvfIPW2Lb+80pOvhg5lxs4NqC0qTkuqCqnaVHaxHoc6DhyQs8iXq1/welAsbDWR0ctDaRJ0w2jb9eMe7HivI3Gn3JAkGZ9O8QxacAR33+TiPns+bsfR1c3ITLLG2iGP+h1uM+EH0+l5C1tNJPOuDZJKi6VtAb69Yhn+wQEs7Qqqfc7ja/0IebEP47/fQZsn9Ca6lw/X5qfJfVl4/gej9f08rTcnf2lSbDQM4Oqdxpw/RR5uWWbFVvYFRmM9TL4bMxhJpUWSwMkrnTFf/oGHXzIefskMfPMIIS/2JiXeDvuaOQSOO0/H8eXXRjm73QcL60LajY4ySJcLfOo8uxYHcnGvt5F5MUCHsRfY9UEg53bVp3m/6wz7cD/7PmvLT1P6khJvhyZfTavBlxn9aWjx55xfr7hKrfGjbmNB0n9+BT51nqHvm/jjr6BQBRoE3sLONYdzO3yo2zaBuFNuPLN6e5n9m/aOpWnvWLRauPJnHVZOfIxajVLoPOFcufOEr/ej4zjRp4ZHFg07xxMW4lemGBUW0pQ2Qy6LBzhqDS0HXiFsnV+lxShTKf15WWokMy3piba4NRai0eCFRxi88AhrJvc1SJetFyD+HudlmhMyPZhrxzwNPlfLmkNBQUFB4dGgKmLUOWCqJEm/I8QoXSRUbcA4TvgfRmUqmlXEnj3w/vvG7SNHCv+d7FI2LbIsUs7OnzeuQlcR+flCeHJxESbnOlatgiefFGLSrFnCH8jfv8ScgLOdBRYqMxyraLStYBpJkqjtaM2IgDp/axydAX1pXn/duK0iYVDHs88aGsObEgjnzjVdddHTE+rVE9FWwcFC8Js9WwinJXlXl6QbBM7mKdTvcIsZOzcWRxotjtGbh479wtCLSJJg7l8/AyLcf/3MYDLu2FDDI4vgmREcW9PcaF13rzqSnWLF/FM/4uSlF7Z8OsWzvN9Iuj1/ukzPlp4vnWTfp23pPCmy2iORKvL1yE23YOcHgTz5aSh+wbEAuNTNYMIPO3jHfwIRG3wJfOpCta4JQIOGFO2/5ynw9TB3vho+hAHzjjLpp21oCs048KU/y/uPYNb+EFy90wkL8SN8vS8v/PYbrvXTSE+04dzO8sMFn127lSZBN0hPtOHr4UMIXRbAgDeOVvuc4ev8sHHKIXydn9FNU3n0nH7CyGgYyjcrfpRYEPljudsDn7pQqeu/pFeY/7BL+A+7ZNTH3ErDoivfFv9eWuCzsCk02G5mBsEzThA8Q4Tj7ngvkLM7fIw+L02t0VqyphWdsJbt2JW6n4ta055lCgp/l4BRUYSv9+POFSea9IjDvlb5xuIgru3G3W/QqOsNEqJcyu17/bgHd686EbqsHfu/FF8c8zItuH3Rhcff+dNI0EmNt+Pyn17EnXQjcpt4gvewdBcAACAASURBVJqfraYwT01mkhV2LlWzLNBhaVtIvbYJnPndh0Zdy/hyU3ofuwJGLNnPO/4T6DD2QpnimYKCgoLCo0VVErtfBZ4DDgAhRZX1AAYDYdW8rv93KlPRbMMGkeZV8lWSe/eEz1RpPDxEilNKiftBV1d9NbPFiw2NyP39DefYvdt4DdbWIvLpl1/0a46LE2ldY8aIKJtevYQ4VXyMWXnM/+0cHd/fx3s7okjO+udESSg8fG7cgB07yhFOZ80irlfT+xpbq5EIX++HS720Cr9gRx+oS722CQZCFIB3QCKOnplcOlS2KFindSINu9xk/+dt72ud5VGRr8f1MA8Kc9VGPhiWdgX4BccQfaButa/p38i2t7rQbtRFuk85jZV9AbZOeQyYd5R6AQns+kCYwcWdcsO3Z2yx+bSDWzadKogI0OHglo1vz1jiz+qd+6trzuQb9lw94sWoT/ZxcV89Mu5UwditDMoyK37UoqL+STz2+jE6jT9LbLiJP+glkJDoIQ3ms18yGffpJe5dqkszqYpPlhQUKkm70VFcOliHo6ub0X502cLt2R0NOPlrY7JTLZFliD3hxpW/alMvIKHc8cPW+dEkKJa5R9cw++BaZh9cy6tHfqIgR01UqLdR//ANvtT0SeX1sNXF/eeFr8bRM5OTvzYp7qfVmFGQqyp+aQoqvvUYvPAIx39uRuiyADLuioqWqfF2JMc6lLmPrXMuHcedY/dH7SscX0FBQUHh0aDSkVGyLB+SJKkm4CDLcsnH7N8AFT+eecSpqKIZiAgnXYqcjpLpOK6uompcaW7fFk+nnJzgzh3Rdu9e2fOYqnZWeg337sGwYcJXKShIbFuzBvz89P5TY8eK6KglS0SaVVp2Ab+fFQvcEHGTF3s0vK+UMoX/FkOGiGu1Rg3hW2UqUguAQYO4F7cXSlmolOfXsP9zf/5c0arYYHX0p6EVelpUVIo9K6n8Uuz95x5jef8RdJ98f14vOo8KHbbOOcw/KVTf8nw9spKtsHXJMZku4OCWzY3Tte5rPf8l8rPVXA/zMFlRqc2Qy2x/txMA3gG32TQ3CEePTBp2vYlXy7sVXlc6UuPtiAr1plHXG9U+Z/g6P+q0SaTV4Cu4NU4mYmMTekw7VaVzUJp6AQnsfL8jO98PpEmPWOq2uYPaUvEF+7uUVZWxJDXManDxZg6HryQB8OZv0Wyf04bz/L33VEHBFC51M/Buf5tb51xp3v96mf1sHHPZ9W0gv74aRGG+Cge3LHq+dJKAEWX7Khbkqji9uRFjv/oDBzfDr/QBIy8SHuJH836Gc4av86PLpDNG/TtNPEv4Oj+6PR8JwMZZPdk4q2fx9rYjLvLYPFHZ57X6Uwz27T9XpPQ3CLzFC5t/ZfeHgYQuCwDA0TODFo9dKx7XFN2nnOadtuO5dd4VS/u8cudQUFBQUHj4VCVND1mWNUBKqbaY6lzQw6JkRbPhw+9vjOBg2LhRGDuXZMMGMX5VqptVhKsrfPMNtGsnIqE8PETaXlwcuLnJaGQZrUYiJVli505hZm5rqcbOUk1mXiGONuZYmle+worCf5fNm8W1XRq1WlTcKyY6Gsv4TFTmhjfC5fk19HjxJAPmHUWWISHKha+GD8HGMZemvWPLXI+tSy53rzma3JaeaIutS47JbTo8mibRrO91QpcF4NZY7/ejKhIONAVmqNT6Y9AWmKFS6/1odB4VpijP18PWOZesJGs0hZLR+UhPtKlw3QqQnWIljG1NiJEObllkJlkBEDAyGiQIW9uUXR8GorYspOdLJwmeGWG0n47vxw1EkkRaSqNuN+hXJD5V55zh6/3oMkncSPkPjyZ8nV+lb4p0wq2OFo9dZeyXe/6WWbHC3yNPzsPLWf+HvY6TNQUo1SoVHhwvbfvVZHvJFHifTreYtnlThWOV3MfcSsP7178x2W/Ekv0m218/vsZke6/pJ+g1/US56wXDlFtTeAckMnnDljK3dxgTRYcxhibujrUzWZrwRaXnUFBQUFB4uFRajJIkaWt522VZHvz3l/PwqKiiWWWEpAULhDg0b56ISDI3F1X1Vq+GP/6o/jX7+oqqfx9+KCKmrl6Fw8cK+On0ZbacvoUkQeCNrqxaZcngweBsa8HOGV05fSOVNnUdcbWzrP5FKfxnqFtXmO4XM3ky1ldH4dS1UZXHkiQhEtVvf5sLe+qXK0Y17h7Hwa9bk3LTziBVL/aEG6nx9jSuhMdEv7nHWBL0pIEQ4OCehcpcQ3Kcg0GlnaRYh+KKWpWhLF8P7/a3UVtqOLOtoYFXUF6WSIEY8MZflZ7jv4q1Y66Rsa2O9ERbA4+SgBHRBIyIRlNgxtntDVgzuR+1W9zBr5fp93LSmt9pEnSDK0dqs+b5fmQlWWNTI7/a5rx2zIPkWAf8hwqPo7bDo9nxbidunnXFq0XFtos64dYU92tWrPD3yJFzSLK6TMjUNly4lUE3X2eOSjuFOaOCgoKCgoKCgkK5VMUzKqnUKx2oD3TjX2BgDqKi2ccfC0PmmjWhTh34/HORplQZGjWCw4chMhK8vUW00q+/Cs+nzp0rv45WrUSFNN1r5syy+86eLaqdrVgBjz8ODZpoOHn3Niq7PMxs82jaJ5Hff4fkZDBXmVHH2YZBrTzxcrJBZWZcSS85K5+NETf46sBV7mYoT3gVymbUKFi2DC5eFMboERlNWJ84HP8njA2FK0PiJSeuH/fE3TdJ3yhj4DVRkKuiSdANGne7wY8TBnA7yhmtRiIm3J01k/vR+Zkz1PRJrXCumg3SaPPEZQ59q480MVPJtBx0hR2LOpGVbIWmwIwTvzYmIdqFpsFli2OlKcvXw9ohn75zjvPr3CCiQuuhKTAjKc6elRMH4OiZSbtRFys9x38VS9tCvNslcHqLseB5anMjGnUzrrynMtfSesgVPJvdq9DAF6Bh53jaP3mBLW92rdY5w9f5IcvwUfcxzPd9lk96jypury6qYlasUD2c5wTRjn/g0PwMofzyryoWoKCgoKCgoKDwIKmKZ9REU+2SJC0FMqptRQ+Zsiqadepkun/pajvNm8Pvv5c9vre36YpmZY1XkrfeMm7r0AGySmSP5OSb80KPhryx+RyONuZMG+nCkhfKHrM0v5+5xZtbzgNwKi6FJSNa4WBtXvkBFP4zPPecMOUfNAgSE8FL8xpz6n2MebC7Qb/y/Br2fdqWg1+3BlnCximX9mMu0GmCvlT69TBPZnu+aLD/0jufMnHVdnYuDuSbEUPISramhkcmgePO03N62WlYpek7+zgRG3wN2kYs2c/WN7vwYdex5GercW+SzPPrthiYqseEuzOnzlSD/V7csom6/olA+b4evaafwNYply1vdiEpxhFL+3xaPHaVcd/uUnx+TKApEMa3OszUWgYtOMLXw4dQq1EyHcZcQKsxY/8X/sSEezBr7zoAjq/1w841B5+O8VjYFnBxbz0SLrpQLyCxUvN2n3Kat1tPLI5a+rtzFuSqOLW5MaM+2UfTPvprInJbQ3Z/1IHBCw8Xt5U8XqDC6+LsjgYU5Kjx7RWLdY084k4Ks+In3jsEgI1kgxYtufL9VbZ6FFCjprkUgLW2Bolm17km35/g/aBI06aRpjVdwVNBQUFBQUFBQcE0klye+lGZASSpMXBYluVy3XclSbICDgGWCBHsF1mWF0iS5AysB7yBGGCkziBdkqTXgEmABpguy/Luova2wErAGtgBzJBlWZYkyRJYDbRFRG+NqsjTKiAgQI6IqPwN7D+BjNwCMnMLUZlJuNhZmoyAKotF26NY8ec1AFrUrsHKie1wUdL5/jb3MvPILdBgZa7696ZHBgURXxjPL9terLivgkIFLGw1kZQbhpWTes8KY8C8o1w75sn2RR25cboWkiTj0/EWgxYcwaOpiKqL3ObDgS/8SYgWkXPOdTIImnbSyF+k5Fyjl4fSJEgf5bRhVg8y79oUe379nTlP/tqYzW90Y8GZH1CZ6/3HCnJVvNV8EmO+2IOFbT5fDDY2LJwXsZI/lrbn5C9NUFnohSlzSw2LrnzL1b882fVhILfOuRabFQeOO0/v6afobvYYqcmW2JiryLdLJFw+eJ/vxsOlj9lQVvxxl1Ox6bzU2xu7ejFEyWWbGCsoKCgoKCgo/JOxwIJg22AaWVTd/uRRQ5KkE7IsB5jcVg1i1CDg+0qIURJgK8typiRJ5sBhYAYwFEiWZXmxJElzASdZll+VJKkpEAK0BzyBUKCxLMsaSZLCivY9hhCjPpVleackSS8ALWVZniJJ0mjgCVmWR5W3rn+jGPV3SEjL5aWQk6RkF/DZk21o4maPWRXELAVj7mXmMXnNCU7EptDKqwbfj2+Hq/0/Q5C6l5lHbFI2no5WuNhaYKEux/ReEaMUFB4ZmqpaEf6XK98eECmmH470w7xRJHGFlfc/exSwl+ypdzeYSd+LiEmVmcSO2f7sYv1DXpnCP52Ei878MH4Ar+wPwcKm8GEvR0FBQUFBoZj/ihhVFQPzT0s3AR5Af+CHivaXheqlcxs2L3rJwONAUFH7KuAA8GpR+zpZlvOA65IkXQHaS5IUAzjIsny0aF2rgSHAzqJ93ioa6xfgc0mSJPnvKm7/IdxrWPHNuLZotTLOtpaKEFUNZOYWciJW+IhE3kwjI6/wHyFGJWXmMeHHMM7Fp2NtriL05e7UdrIue4c33iAio+zKNwoKCv9/WGsciLiWXvz78Svp9Gts/xBXdH8UUGAQnetkY45W0igm4Qp/m83zuzJ6+V5FiFJQUFBQUHhIVMXAvEWpV1OgEPhf0atCJElSSZJ0GrgD7JFl+TjgJsvybYCif3URVrWBks6wN4vaahf9XLrdYB9ZlguBNMDIxVWSpOclSYqQJCni7t27SBJcuWLY56234KmnxM8HDohqX9OmGfbp0kVUywPxb5cu4ue+feHNN42Pf8sWcHeHwkKYMAEsLAyNylsVeSnHxIj5dO3e3rB4seFYhw8LH6saNcDZWRikh4cbrwXE/tbWYG8Pjo5iv6+/Bq0WI4KCwMfLEnsLKwMhSrdee3vxat4cXnsN0v7FNhmZuQXcycglKevvGbnbWKrwKhJxajtaY2upqvAaeeqpiq+PAQMM933qKXHd/vyzfh9ra2FqXHIcHRMmiMqRt24ZjpOaCs88A34+Fux4pSPx33Yn4c96XL+XSbkEB3MzyLf8Pn+Tha0mMttzGnPqTOWNJs+xdlpv8jL1nmbH1/ox03kGp34zfIpw+XBtFjR7xuSYsgz7PvXn3YDxzPacxlstnmHbws4U5umjwH6e1puZzjM4t7O+wb6bXuvGTOcZHF/rVzz//1xfYk6dqQavtNu2Ruuf7/ssP5daP4jqenPqTOWbkY8brfXaMU+W9R3B3HpTeL3BZJb3G0HcSTeTx7VzcQdervVi8Rre6zCOyK0NjfolxTrwP5fpbHylh9G2ha0mEn2gjtG4M51nEHvCcN7CfDM2v9GVBc2eYU6dqbzdegK/vd7N5NoUHjyJZrG8EFwXC5UZDlZqnuriwW3NrYp3fMTIlXNJtb7OtxNbMjmoHqsntyJS+vNhL0vhX8CUjVtoEPjP+z+hoKCgoKDwb6EqBubGdypVRJZlDdBakiRH4DdJkpqX091USI5cTnt5+5Rex7fAtyDS9OIqkbVgawurV4vqdd7e5fedMAFefx0WLhSigY41a4Q5urrorM+ZIyr3lUVqqugbEQHdu0PbttC7N6Snw8CB8NVXMHIk5OfDn3+CZTnBNtu2QXCwEI8OHoQZM+D4cfjxR32fmBgxTo0asHUrjBhhOIZuvbm5cPas+L1zZzGOrW355+RhkZlXQHxKDlfvZtHO24ma9laV3u+XEzd5d3sUfh4O/DAhoNL7lqaWvRW/vdCJOxl51LK3pKa9VYXXSFJSxdfHsWNw5IhxpcaSJvwHDgiR6uZNwz5ZWaLSY40aQryaPVu/7X//E9vDThbw9dFo1uxOwjGvJo3dKoiqOH0a1/SbJLRwL7/f3+TZtVtpEnSD1Fu2fD18CH8sbc+gBUcAUZnMximH8HV+tHnicqXG2zS3O1F7vRn75W7q+idy57ITIS/1JvFSf579WV+NoGbDFMJCmhabkmsKJSK3NsK1vmH1Pu92CczYubHC9acn2vD18CGELgtgwBtHi7dHbm2E2kJD9P66pCXYUMNdmKfnplvw7ejBjFi6jzZDLlOYb8a1o7XLNbhu88Rlxn2zG4CovXX5YdwgGgTeMjBkD1/nh7VjLqc2NeaJRYfKHU+WIWKDb/E5rtdWbwge+kk7bpyuxcuh63FwzyL5hj1X/6pd5lgKD5ab2jisa9mybXYbZLScNztCiuafWektUj5OLY9atKhtz9HC42RqKxDG/8Oc+KUJB75sQ+JlJ6zsCvBsfpc+s8INRJfja/0IebEP47/fYfQ5uefjdhxd3YzMJGusHfKo3+E2E37YWbw9am9d9nzcnvizNVFbFuLeJJke004Wfy6mxtuxbWFnovbWozBPjbtvEn1nh9Gsr2ExBx1Jcfa80/oZlt75FJVa/3Xt52m9cfTMZMC8o0Z9UuPt2PRad67+VRtNgRlOXsKfzbV+ml7ElyXys82xsM0vHvO1oz/h5JXB+d312f1RexIuuqC2LMSvVyyDFhzBsXZm8flZNz0Yc+tCJEnGpV46A944WnwMptYce8KNXR8Ecj3MAzMzGdcGqXSeeJYOY0VF1ew0C35/uzNnt/uQm2GBq3caQS+cKt5uipnOM7CwKQBJRm2hoXaLe3R8+iz+Q/Xv2WeDhhEb4Y6ZWv90sVGXmzwXss1grOth7nw1dChvR63Ayr7AYNtH3Z8k8KnzdH3uTPGYt8658s7F7wz+HpR8T0ytdV7ESmo2MHxCWfJclmRe2GpqeIjqOw/6mlVQUFBQeHSptBilo8iIvCFC5Lkqy1Uv0SPLcqokSQeAfkCiJEkesizfliTJAxE1BSLiqeQjeS/gVlG7l4n2kvvclCRJDdQAkstby+XLn5lsv3hRRKmsXAmnT4ub806dhHigE3Byc2HiRH0ElY4hQ4QgZW4uIlMA3Nzg+nXYvVvfLzZWRK3Y2Bjuv3q14e+ffw7Z2UJE6t0bLhUVEnrySTHeokVw6hRYWUHTptC6tdi+ciVMmiRuIAcNAlVRoMelS7B+vajEFxIi1qlSgYODENoGD4ZVq4QYNWECrF0rxpAkWLYMfHwgMhI++wxatBCRWebm4OoKU6bA3LmG6z9wAHr0gA8+EAJLSb7/Hj76COLjxXkICIB160T0VXUQl5zDgE//RJahlVcNfphQOUP27DwN72yPQqOVORufxsm4VPo2u3+Rpaa9lYGYNWSIOFd//gndioJHUlJEJcbjx+GTTyoec84ceOMN2L+/6uv59VcRJffKK7BihaEYFR4uRDDv2ha82r8J04M1mKukisW4mTPpUkXPKBvJBg+1B1naLBI0CVU6BkfPLPyCY7ldVMI++YY9V494MeHHHaya1J+MOzYGoosp7l515PD3LZm5e0OxsOLhl8zEldt5N2A8lw550bibUPKa971GxEZfslMtsXHM4+Jebzya3iMv06JK69bh4JaNb89Y4s/WNGgPX+dH54lniQr15sRGX3q+dBKAO1cdAWg7THwAWFhr8O1Zef8fv15xWNrlc+96DUMxar0vj807yq4PAjm3qz6tH79S5hjXjnqSnmDHqGWhbHqtO0MWHUJtIW6C4k650WLA1eIbDJe6GbjUvVjp9SlUP5flKC5TZNr+Dy/WeEdzhzuaOxV3/A+z/4s27F0ewIil+/DtGYvaQkvU3nqc3dHA4Ma+LNE+LMSP8PW+vPDbb7jWTyM90YZzOxsUbz+9pSEhLwUz5N0/eS5kK5Z2+Vw7WpuIDb4073+drBRLlj82gkZdbjL3r5+wcsjj7A4fVj/Xlyc/Cy33s6Uq/DS1D57N7vFm5A+oLTXcvuBKeqINPh1v8eGNrwC9YPT+9a8NRC7dMYxYup+WA6+Qm27J7+90YvljI5h9cC02jiISWvdQQauFo6ubs+rZfrx17ntsauQbred6mDtfDXuCPq+EMfar3dg653IzshZ7l7elw9gLFOab8dUTQ7FzzWHm7g04emZy6WAdfp7Wh+xUy+LqsqaYfehnajZIIzPJiqhQb359NYg7l53p9+rx4j7DPjhAx6fPl3vO6rdPoIZnJpHbGhoUcrh9wYWEaGf8i/6uJMXZc+2oJ9YO+ZzbWZ/WQ/7+e1beA5oHfc0qKCgoKDzaVDpNT5Ikc0mSPgJSgEjgLJAiSdKHRYbkFe1fsygiCkmSrIFg4CKwFRhf1G08oDOd2QqMliTJUpKk+kAjIKwolS9DkqTAIlP0p0vtoxtrOLCvIr8oFxcR+VC615kzQphRq4XgI0lw7564iY+OLv9Yra2hWTOxf0YGJCeLSBV7e3j6abh9W9/X0xMyMw1f/v767VlZsLHob/iNoqTFxo2FeBQUBE88AcOGiciXxER4+20hnuno2BHq1hWRUbrxPT2hfXsxxuTJYo2xsVBQICKnrl4Vx5xYFPQwZ45Y/5w5Yv/IoiJGupSvwYNF+y+/wDvvwJ49hudj1SohWK1aZdh+8KCIDgoJEWuIihKRXtXJpYSM4vf2YkIGmkrah5mZSTSqJQ5QkqCBa/WGfllbi2MtKTxu2AC+vvp0vIqYNk0Ii6GhVZ9/1SohZo4eLYTXkyf12wIDYd48Ibreu2WBp6P1fUeFlYerypVumiGc+dMb2xuBBEhdq7R/yk07ovZ449VC3KCGr/OjTptEWg2+glvjZCI2NqlwjEuH6uDomWkQ4QPg5JWJd0AC0QfqFreprTQ073eNk5saF83nS7vRpquzVYbUeDuiQr0NIqtSbtpz5bAXbYdH03b4RcLX+xVvq+WTiplKy88v9ObCnnpkp1bed0yW4fwf3hTmq3DzTSpuv3rUk9RbdvgPvUSbIZcM5jNFWEhTmvW9VnwzcH63Pm3RO+A2B7705/D3Lbl1wcXoM1VBQeHBkZNuwc7FgQz/cD+tBl3F0rYQlbmW5v2u8/jbh4v76UT7UZ/s4+K+emTc0T8Nizvlhm/PWFzri+gWB7dsOk04B4jPkM1vdKPvK2F0fPo81g75mJlBw87xjF6+F4CDX7bB0jaf0Z/twcEtGwtrDW2HXaL3rHC2zO9abZ8JcafcaD/mgjhGtYxXy7s07R1b4X6yDFvmd6XPK+EEjIjGwlqDg1s2oz8NxdI2nwNftjHax8wM2o28SH6WBfeuOpkcd+uCrrQfHUXwjBPYueQiSVCn9R0m/CiicyLW+5Fy054JP27HpV46KnMtfsGxDH3/ADsXB5KbXvEDDTuXXNqNusiIJfsJXRZAVnLV/ya3Hx1FRKnP+PD1vjTrE4Ots3iuHL7OD++ABNo9eYGwdU2rPEdVeNDXrIKCgoLCo09VPKM+AJ4CpgCNEeLQVGAc8H4l9vcA9kuSdAYIR3hG/Q4sBnpLknQZ6F30O7Isnwc2ABeAXcC0ojQ/iub9DrgCXEWYlwN8D7gUmZ2/DJSK0THG0fEAoPdbAhGhcukSNGigj0hydBSRTUOGmPb6KU3r1hAXBzk5ImooNBTmz4eaNWHpUtFn/Xrh1+PoKF7jxxuO4eoKTk5iDT16wIkTot3BQUTURESIsWfNgnHj4O5dkc43cWLF6wMhRqUX+duePSvEtrVrRXSOl5f4uTIkF8WeBQQIEa6kGJadLUSqL76Ay5fFmnWEhwuxrE3R9z9nZ3EOqisqCqBTQxf8POxRm0m8ObApNhaVCwZ0tbNk9TPt+XxMG3bN6IanYznG3ffJ+PFCaMzJEb+vXm14DSxZor82TF0fVlZCNHrjjarNGxcnoqnGjBERe716GQqFn30mxMfPPxeRdg0bws4HEPHeUtOFZ1ac5duDsby45hxSmjt2kl2F+30/biBzvafw6WMj8OkcT/DL4j9v+Ho//IcJpdh/eDTh68oXVgCykqxwcMsyuc3BLYusJMP3vd3oi4Sv8yMn3YIrf3nR4rGrRvvFRrgz13tK8esdf8M37vtxA3m17lTeajEJu5o59HvtWPG28HW+eDS7h7tvMv7DLpFw0ZmbZ0TklJVDPtN3bAQJ1s/sxRuNnmfFmEEGX8xLc3pzI+Z6T2GO1wt8N2YQvV8ON3iyHx7ih19wLDaOefgPiyYqtB4Zd01f6/nZak5vaYj/8GhU5lpaDb5icI6D/xdBrxkRnNjYhKU9R7Og2STCQip+D/7LfDVsCDveCzRqP7ujAfN9n2XN5L5sX9QREBELM51n8O2owQZ910zuy87FHQzaTPmAlfQw+5/L9GLvsjl1phKxsYmRx9icOlOZ6z2leP+ZzjOY4/UCc+pMZUGzSfw2rytajWFm/Pnd9fk4eBRzvF7gdZ/nWfN8X1Lj9f+nFV+xB0dMmAeFuWpaDDT+TCpJeaK9d8BtItb7se9Tf+JO1TJ4f+9cdiI13p5W5UQ3RR+oS6tBVzEr9c2yzZDLpNx04M4Vx/s7uFJ4ByTw6+wenPy1MSk3K/+F4c5lJ1JuOtD6ccM0LzMzaDXoqsHDBx1ajcTxtU1RmWtwqpNutD0/W01MuDutBpd3XurgFxyDpa1hqlqrwVcozFVzPbzyUdctHruGttDMyLOvMgSMjOLqUc/ic6bVihS5gFH6hyoR6/1oOyKagBHRXNxXt9y/L3+XB33NKigoKCg8+lQlTW8M8IwsyztKtF2VJOkuQhh6pbydZVk+Axg9dpJlOQnoVcY+i4BFJtojACO/qaKUwRGl28vDzCwPSYJNm8TNOYgIFRcXqFVLREJZW4sb/86dxb9bt+qjg8qibl3h4bRli4hCCg8Xc6SliagjPz8YNUqIAqX9fHTcuwd9+oineUlJ+ggWf3/x5SkrC65dg7w8kSo4c6aIMqosGo0QtkCIEX36iJeXlxCVVq3Sp/yVh7Oz+PfYMTh3Thib6/j1VxFBqHsHNAAAIABJREFUNWKE8CZavVqIViDSBOfPhwULxLwBAeX7Xt0Pteyt+GlSBzRaGRtLNXaWlb/kazlYMbClZ/UuqARdughxsvQ1ouOVV8r3jAJ47jmR5rhtW/n9AO5m5CHLMj/8aI6fn6r4vR07VgiaS5boU0tff1280tOFef6IEULE0r3X1YFaUnMvU28Ofy8zD3NH8wqrZE1a8ztNgm4YtF075kFyrAP+Q0WqQdvh0ex4txM3z7ri1eJemWPZuuSSnmg66i090RbvercN2hoE3iIryZo/lrSnWZ/rWFgb5z7VCyjfM0q3/itHarPm+X5kJVkXC0Th6/3oOE481a3hkUXDzvGEhfjh1fIuAO5NUhj7hQg9TLzkxE9T+rLp9W6M/26XyblaD9F7RiXF2bNi9GCsHPLoPOEc+TkqTm9pxOjlIrSufvsEnLwyOPFLE4KmnjYa68x2H1Rqmaa9YwAIGHGRL58YSuY9a+xcczBTyXR99gxdnz1Dfo6K4z83I+SlYOr6J+De5J/pVfSgaT/mAtvf6UT/144ZeMdFrPel7fBoslKMox9iIty5dsyDBoG3jbbpMOUDpktfAmFMP3p5qMH/o52LOxh4jJlClzJ091oNPh80HPfGyXQcL9KDKpP+pPiKPTiyUqywdckxSEkzRfh6P7pMEl9gdKK9Lk0sYGQ0SBC2tim7PgxEbVlIz5dOEjwzojgSpyzxHiAr2RoHd+Ptun2ykqyhUarRdoB5DScb/F6Qo6bn9BMm+074cQd7lwfwx5L2JF52wqNpEqOX7aWuf6LJ/iXXV9YxOLhnFW8H/UOF/Gw1KrXMU1/vxr5mjtF+2amWyFqzCs9LndbGKaYqtYytS47BvBWhMtdi65JDdqr+s2HTa93Z8qY+srjbc6d5bN4xo32dvDJp2DmeiA2+9H45nMsH61KYp6ZZnxhAFMhIvmFP6yGXsHPJxbV+mvh78ELZaYSVQXcuddg65zD/5KoHfs0qKCgoKDz6VCUyqgYiCqk0V4Hqedz1kHB3F5EfJSNUateGevWEINOjh0jVGjMGfvsNXnpJiCgV0aCBGGvNGiG2uLmJFLnkEi5WJSOjdK/sIjuXuDjht/TJJyJaqGFDfQRLUlGmjYeHSO2aMEEIQaU5dkyMM2SIGNvHR7SHhwsxqnlzcdwbNogIMHd3SEiAvXuF4JacLESKtWv1kTq6CJ2sou9e27cLAaNjR3jhBTGXjlWrhOimUonzFxIi0gEBunYV4svJk6IynIsLvPyyWFd14mJnSS0HqyoJUf9fPP208TVSFczNhZg3f75xqmlJbqZkM/jzw3RcvI8VP2q5dk3G3V283y+/LIRPU9FPDg5ClMrKEpGB1ck1zrP8qeb41LRjcGt3mnhZkKo1faNSEeHr/JBl+Kj7GOb7PssnvUcVt5dHo643SI23N3rKnHLTjpgIdxp3u2G0T9sRFznwhf/fStEDkd7S/skLxTcR1497cPeqE6HL2jHf91nm+z5L7Al3Tm5qgqbQ+GmvW+MU2j95gYQoo4KhJnGpm4FfcCzndwk/jbPbG5KbYcnG2T2K50u7bWeUxqEjPMSPvCxzFrZ8hvm+z/LjxAFoClSc+LWxUV8Law1dnz2DjWMeidGVW99/kRaPXSU7xYprR/Wid3aqJef/qF/m9dVz+gl2vNex3HF1PmBm5lrO7apfbt/7oWaDNOq3v0X8ORG1V9n0p5K+YpIkrsn2oxVfserA1imXrCRrk58VOkyJ9rcvuHLzrGtxn4AR0bzw22+8f/1rRi7dx873A4naW7c4jass8R6EyJCeYLxdt4+ti7GYo2PRlW9YHPN18ct/eNl+CDaOeQxacIS5R3/inegV1G5xl+/HDawwDdDWOafMY0hPsC3eDuKhwuKYr3n/2jc063eNa8dMP5iyccxDMtNWfF4SjSOMNIUSWUnWBvNWhKbAjMx71tg46u1ah75/0ODcmRKidLQbHUX4elH1NnyDb3GkKwj/Jd8ecdi5iLH9h0UTVokI44rQnUvda/5J8UX2QV+zCgoKCgqPPlURoyKB6SbaZwDGj9H/QYwfL8KVf/gBrlyBsDDhC9Wli4hcCg4W/R5/XJiW+/nBX3+JvuVRv75Iz1uxQi/gxMcbRpd4eoqqeSVfOkPzn38Wc7VuLUzBExKEKHT2rIjOAuE/deOGEHkCjbM9CAwUUVqbN4uxT50SaXijR4sKePXri20qFVy4IFLsataEt94SYtHVqyJCZ8wY8W9qKnz7rUgZfP55/RoyM4VYdeCAXmy6cUOcP11lN935275dv77+/UVUT3Ky3jD+u+8q+cb9C3j6aeNrpKqMGyei43aZDo4BYFvkLW6n5ZJ9owa3bqjYtT+f06fF+33unHh/dULnO+8IsTI/X7xfy5cLEbJJRRZM773HsTcGV9BJzxU5ijyPSN6fWIvh/bTs1W5BrigsygQFuSpObW7MqE/2Mfvg2uLX0A8OcOIXX4MvugW5KoNXTZ9UOk08y5rJ/YgJd0erkbgd5cyPEwbQpPsNowgsgG6TTzN102/4dIqv8lpL033KaS4dqMvNs66ErfOjSVAsc4+uKT6GV4/8REGOmqhQbxIvObH/8zbFaU8pN+04+WsT6gVUzvg9Nd6Oa3sb066JI+2k7kSsa0aHsed59fDPxfPN2LmR+LM1uXXBUEBKvWXLpUN1eC5ka3HfOYd+pteMiGLB78BXrbl8uDb5OSo0hRJhIX7kZppTu6ViOl0WFtYaWg+5bCCantrciFqNUqjd3HREX9dJZ7h71YnoA3VMbq+qD9j9kHjJiWvHahf7tFQ2/aksXzEJCU+1J15qL1Soqn29/wW8299GbVXI2e0+ZfapimivMtfSesgVPJvdIyHKhVqNUnCsnUHk1oZljt846AaR23zQag3bT21uhGPtDGo1vL+HDeVh55JLz2knSbttR7aJSMKS1GqUgqNnBqe3NDJo12ohcpsPjbsbf95b2hUwYsl+wtf7FadMl8TCphDvdglEbivnvHS/QVSoN3lZhg/EIrc2RG2pwbtd5Yt3nN3RADO11sjnsLK0HHiFtNt2XP7TizO/+9CuKEUvP0fF6c2NuPJX7eKHEwe/asOtczWJP+dawaj3x4O+ZhUUFBQUHn2qEioyB9ghSVJv4CgimaYj4An0fwBr+3/jzTfh0CEhtsyaJcSgNWuEKKXVisiQtDQR6ZSbKzyQ5syBV18tf1w7O1GBLzJSmHxrtUJ4CQ4WkSghIaJNZwRuZSXadfz0k4hqci+yE8jMFFFDEREiPU+lEgJBzZowcKBI1yqLQYOEGbuZGfj6yUyeVsgXy9WAxKpVwmeqbl0hQty+DY89JoQqnVAH8OGHQpjQaoU5e9euQpSztRVrmTVLRI59+aVIGVyzRvQdNEi/jtxcEQlUMnoKxLp69YKePU1HeP1b8fY2vEZK8uGHonqhjtLXhw6VSlR5HDWq7Hn86wrj1cxzXtRvm0brVrbUKJEZMGOGeD+Tk0UU4MSJ4tpTq6FlSyEg2lVk59SpEwkpp4DCCjrqidFeJUa6WmFqXnmc3e6DhXUh7UZHFT/hBQh86jy7Fgdyca83Frb5pN22Z7anYaW/eRErGfbhfvZ91pafpvQl7bYdts45+A+Lpv9rpp8u2zrlmbxpKT6mcHfm1Jlq0Pbilk0mU0jsXHMIGBXFHx914PKfXoz96g8c3AwrAAaMvEh4iB9PvH+Q2BPuHPjKn5w0S6xr5NG0z3UeX3jYaFwdp35rxNkdIhLK1k6mXdd8zjufZtmPjlw66MXsgyEG8zm4ZePbK5bwED8ef0eMK0kQscGP2i3uGlXv6/b8afZ/0YbbF1wwty5ky/yu3LvmCBLUapjCM6t24Opt7LOioKf9k1F8O2owQz84gIW1hoh1frQvJ+pObVVI75fD2bGoo0mxtLQP2GcDh5Nx19pkilFpTm9uZGBK79XyDi9u1ecOLwl6EllrRn62OW2GRtNlkigFX9n0p+D/RWDtmMeJjU34bV5XbJ1zGTT/L+aObcSZaA1ZeRr6NO/EXu1m8jGuWqZQNtYO+fSfe4xf5vTATK3Ft0ccKnMt0QfqcOWwF/1fO1Ys2jftow9zjdzWkN0fdWDwwsNEbPDFzjUHn47xWNgWcHFvPRIuulAvIBFJgiHvHmLd9GBsnXNpNegKFnb5xIR5Er7Ol1HL9hE09RTh6/xY91JvBr55BOsaeZzZ7sOepe0YtWyvQSrq32HrW51pN/IitRonU5Cj5siPLXBtkFocvVUWkgSD3/6T9TN74eiZSYsB+nTS3AxLgqaaTkezdc6l47hz7P6oPZPWbDfaPvitw3w1fAjOXul0eOoCts65xJ9zJfSTAMZ/v4t2oy5y5IeWrJw4gOFL9uHokcWlQ15sei2IfnOOYe1Q8bWelWJJVKg3m9/oRq/pJyo81rKwtC2k1aArrH2xN85eGdRtIx4WnN3hg5lK5tUjP6My14enr3zmMcLX+VH73T8B4aFVkKsXjCUzubiiqiZfZbCt5N9jUzzoa1ZBQUFB4dGn0mKULMuHJElqDEwDfAEJ2Ah8KcvyrXJ3fsSxthZRSI0bC5+oTz4RwsCcOSIFaoo+1Z2wMOGfs2KFqIZWv76IShk9Wrxyc8GiRGEUXaTQlSsi2ighQaRFeXqK1LqnnjL2jPL2FiJP164ikqlmiYdxs2aJyKZffxWi2KRJwldo2DAhFhw+LPY9fFhEGQHExOj3T8nK54cj19kffYfcwo7k5kvs2qUiPV2MO2OGWFOLFuK1Y4cQilau1I+nIyYGvvnGsG3uXBExNWWKEJ3KOn9JSWKNOTnQt6+IvAkPF6mCJQWYfwpJmXloZBk7S3WlTdJ1HDhg3GbqfCdl5hESloi1uYqkzJqo1foLbeRI05UIg4LE9ZWR48DumV1JfCaPZp421LA2rN7Tvr24jkEYolfVFB2Av/7CPf0a8R3qGUU41VHXoYbszF0SSNRU/CXRRrKhkELyZcMv6QsifzTq6z/sUnFZ6pKYW2lYdOXb4t+XJS8vc77gGScInmHanwQo9mkyRUl/qA5jogzKZpfG1PpHLt1fZn+AEUv023XVmSpD/7nH6T9XX/67DyMYsjSSvFwtd3Oz2XiqBpl1NSSXul+YvGFL8c95GRbYOOcQPDPCpAdHDY8sPr7zOQAeTZPorFQxqjINAm9h55rDuR0+1G2bQNwpN55ZbXzDW5KOT59j32f+Ril4VfUBK01JjzFTvHIgBNf6aZze3Ijf3+5MXrYataXGIP3JpZ6h+Fgy/cm0r1hvvO2u89MFkZYVFe/JoL4tOaNVPF+qSo9pp7Cvlc2epe35aXI/LO3yqdPqDr1fDq+UaG9ln0/ox+34KbovWo2Ec50Mhi/ZR4NA8RWv9eNXsLQtYM/H7fh1bnfMrQpx902m50vis9PWOZcZOzey9a3OLO44TlTvbJLMU1//QYvHrlXbcRbkqPn+6YGkJ9pgblVIvbaJPPvz1krt6z/0MuZWGv5Y2p71M3uhttDQpGcsM3ZuKFfg6T7lNO+0Hc+t865Y2ucZbKvf4TbTNm9i5+JA/ljaHjOVjGuDVLo8K3yO1JYapv62id/f7swnvUeTl2GBS700Bsz7i45Pny93vR91GwuSjNpci2fzuzyx6BBtS6Uw/vpqEL/N0xcCqNUwhVf2rytzzHZPXiAspCkDF+gfZISH+NF+zAWcvDIM+nZ9NpJNr3Vn0Fui795l7di7rF2JY79V/DdwcadxBvuOWhaKmVpb7gOaB33NKigoKCg82kjyf7z+dkBAgBxRVOItKEhEqCQkCBEoKEikmtUsFZndrBlMnSqikeqbsOPYs0cILYsWCUNuWRbiU+/eovpZ7SK/1gMHRCSQTSkrgVWrxBh37wrRqSRhYUKkun1bpPvt2iXmOXVKiGrNmsHs2cKDaeVKIVZZl4iA0coyNYYfwdIjjfiveqDOt0atljAzE5XTnnpKiEeqoodbEyaI1MCSApsuQicmRhx/QYGIoAFxrM2bC2Fu0aLyz1/LliKiJzJSCCEeHvDss0IE/CdxJz2XiSvDuXo3k/eHtqBvU3dsquhPlZCWw/7ouzSvXYP6LrbYWRnun51XyMLfL7A+XERCzO3vy+RuDZCq61FzdRAUREZhNrGbfsdKreKKWSTR8llaSR1IjXNnz9lkRnV0I8P5PFfkKGqqauKprU+eWTaXNBfQokWFiiCzgSQlqXG0sSDF6jqRctn+FwqVpweDmf5dDDFJIhJq/TR/ztnvIFPONNk/en9dfpzwGAsvfGdUBUqhetn1YXtiIzyoVyRGPb9O3Fj/PK03jp6ZDJh3lKQ4e95p/QxL73yKSi1zfK0fB79ug4dvEq4NUuk/9zgnfmnCmuf7YeuSjZlK/G3PSbPEvUkyrxzQV7coy8D83nXHMsWomc4zmBexkpoNRGremuf7YuuSw9D3DyHLsLDFM3R9PpJeJUyntVr4sMtYWgy4xoB5R02O+2bDqQRNvEWkWtyUt6/vzEsjLThJ2RF/CgoKCgoKCgr/ZiywINg2mEYWjSru/IgjSdIJWZYDTG2r8I5ZkqRKuQDKshxXca9Hm5IRKoGBIsrJFOdLPMgqS8sLDhaRUOURFISRt4KOYcNMt5eMYAHo10+8TDFhgniV5Pq9bHosETcTjWccYt8rQbg5lO2zYCpCR4e3t/HxS5L+/JRl8l7y/O3dW+bU/xgOXLrL+VsiGuDNzefp7ONaphh18aIQJV97Tbz3Xl7QJTiPJ1cc5/o9Yer7x8xuNLIyLFddoJGJTdKnwFy5k4FGK6NWPTpilEaWSc2AgR+HozKT+PHZVtR0TcA9vyET1ooInT0XEvn9lbZkm6XTMLMry3fF0sTTjUEdfdir3UIzqS1r96ex9pgIF/x6QgvcPN0qFU2lUD6RZodZMakfu87co5mXPTn2cWUKUasm9SP2hDujlu1VhKj/B9qNjmLP0vbcOu/CE4sOVW6fURfZuzyAqL316NpAePGEhfjRYex5BrzxV3G/tNt2fNxrNLcuuODZNKna1txrZgSf9B5F8MwIHNyyK5X+dOCr1tRucZd6bRNQmWs5sdGX7EwV08fYs+xIDbLzC3l9cAMumO2D8jN8/pOoUNFS6oCTXIsU6Q5n5ONoqOaKHwoKCgoKCgoK/09UJnwjhvIdXaSi7Yrr6D8AVzsLvh8fwJ4LiTzd0RtnW/NK7yvLcpmROCWjyiwtRVvJqCoLC2jbFj77TFT/E+OJ37/9VlRqc3ISFfnefFOkCIJIOXzjDZHCZ2YG3brBBx+IKC4d770n0ibv3hXpfp07w/r1VT8390tjN71w1NjdvlyB6PBh+OIL4ft16pTwDcvW6oUmWYa45GwauRmKUQ7WahYObsbza05gba5iZq/GqFVVqT/w4NFqZZKzRFqdRisTei6JTj2dKSyhuBZqtcgyNNEG8OyPZ7mTkceBS+BXuymu9VyxKXQg7JreGCvsShoBXg6KGFUNJGuT2We2Ca+2tbilzSJJW7YwMf77ctzwFaodl7oZeLe/za1zrjTvX7mylWYqmf5zj7Fq0mOAMJm/fKgOrxxcW6EPWFmU9BjTMf/kSpN+U55Nk/DpFM++z9oy5N0/K5X+ZMpXbOKq7dz0SWF+/XaYySqi1Qe5q1FM703RSerNxv05bD9zkcfbeDCkWy8Oy3887GUpKCgoKCgoKNwXFabpSZLUtuSvwEFgDGDgdCTLctmGK48wJdP0/kuUJyyVJr9Qw6XETNYcjeGxFh60reeEnZVexIqJAR8fqFFDeEiNGCHaJ0wQkT/vviu8oaZOhcuX4cgRsX36dGGMvWKFEJA0GmGAfuOG8J46elREES1aBM88I9IBP/5YiDknTghD+VWrYPFi4Xfl4yPEsK1b9ZX+/j/IyC0g5l4W1+5l0cnHhZr25Vf0KU1mbiHbztzive1RtPCqwadPtsHVztKon1Yrk5SVhyRJJrc/bLTdu5OYkUvHPm9iqTbjpyltiLL/g8ZyK86dtyb0fBJjOnli7RWDm1yP57+6SkK6uEn9bFwz0uscwUF2pjDWj1fWXcDeSs1Pk1sTZvU7GdqMCmZXUFBQ+HcTXPgkA5aGF/++Y1Y79qhDytlDQUFBQUFB4Z/IfyVNr8qeUZIkZQCtZFmuPjfKh8h/VYyqCglpuQQt2U9ugRZJgkOze1DHWW909fbbsHs3dOgAly4JYQgMxSgQZugjRkBWlhClfH2F4NS+vel5u3YVEVJffmnY3r+/8KFavRpefFH4VVWn6fnKlbB0KVy9Cg4O8MQT8P77Iurqrbf0XmBqtYjQWrpURHSBODY3NxHBtWOH4bje3kKUu3ZNVCAE+O47UTVxx+5CMvMKcathhY0NBlWH3nxT+Gi99ZYwwv/pp+o71molKIi0wgxub9mJSgUXpHBitFcAaKhqgr3GhSSzW8RpY3BXeeCXHcQXe+Lw9bSlV4Al+7XbAPCTWlFP9kWWtJwxO8JtjWJEqqCgoDBQGsvApRHkFGiwtVCx5eW2bJfXPuxlKSgoKCgoKFQz/xUx6tHK83nIrF0LAQGiKp2HhxA9DhdlNVy4ICrs1agB9vbQo4dIIdMREyMEBH9/wzHv3RMpat7e+jZvbwgVxY5YuRK6dDG9nqAgIVaUR1CQSG/LMyzuws2bwnfK1VWsuUWLsr2fKkKWZfIKtUU/Q26BoUfF6tUwdqx47d4NiSYyqrKyREpaw4bi9717hVBVlhCVnS3Ory7KqiQjRwqDdxDeXqtXw0cfidQ3zd+0z1i6FF59VYyXlgbHjkFsrIjQyi8q7DZqFGRmirTALl1g6FC9d9Yvvwih6o8/hMl8aQoLYbmJom42lmpqFXl3RUaK8XWvf4yh+7Jl7HqvD7vNQtghhxQLUQBXNNGc4i/itDEAJGhuE2m9m5GP5+DbPpYD2t+L+0bJkexiPbvljYoQ9S/n2E9NuXvV8WEvQ0HhH0GkdISNL/ozb3BD1r/oT6SkmLwrKCgoKCgo/HNRxKgiPv4YZs6E118XYkpcHLzwAmzZIiJkOncWgs7163DrloiW6dNHRPaUJCsLzpWobr52remKe9VBTAz8+acQwbaWqmo8bhzUqSOElKQkIdi4ud3fPPZW5iwb1ZoWtWswq09jatrrU8QOHxZzjBwpPKF8fMQx61iyREQU2duLvmvWiPakJCH4lUVysjD4NtXHw0OIfCCq/332mRDBuneHWrVE2t79kJ4OCxaI8fr1A3NzIRxu2CCOsXREkrk5jB8vUgOTiux3Vq0S1QhbtoSffzaeY/ZscU5SU+9vjY80rVtzr4VXpbsna5M5pznJpcJo5HJt6RT+jZz6rRHXj3tS0+ff+J9BQaH6uaGN4ajlFhxbnOGoxRZuav/xdWMUFBQUFBQU/sPcrxj1r7pzTEsTqVBffCGiXGxthdAwaJCIkHnrLZGGtWgRODsLYWX6dCH4vPqq4VjjxglBQsfq1fD00w9m3atXi8igCRMM5wRh+D1hgjgWtRratBGRXveDnZWa/s3dWfVMO57t2gBHG4vibatWCVHO1VX8PmaM4VpeeUUILzExYG0N0dGi3cXFdOSQDicnYVhuqs/t2/r5QERkhYaKeb7+WryXu01XJy+Xv/4SFRSHDjVst7MT504XjaUjL09Em3l5ifXExYmKjLoosdWrjecICBDRbEuWVH19jzyhoXgduPiwV6HwD6HNE5d58rPQh70MBYWHTmupI/0YRbA0FBczl3L7ZsvZ3Cq8RbacXW4/BQUFBQUFBYVHnQqr6UmSVCrmBitghSRJBt+EZFkeXJ0L+//k6FEhQjzxhOnte/YIz6DSjBwJwcEipUzHU08Jr6PFi4V/UkaG8FJasaL61716Nbz8shg/MFBEdOminwIDYdo0eOkl6NQJ6tb9e3NZqFU4qw0LJubkiKghjQbc3UVbXp4QhSIjDfevW1ekp40fDwMHQq9eYn0REUKgKY2trRAAN24UKZEl2bBB7F8ac3OR1vfBByI6rW/fqh3jvXtCVFKb+F/h4SFM05s0EfP//rtIv2zeHDZvFn1WrxYRUU2bimiwOXNExbw2bQzHevttEWk3Y4bpdfj7CyFOx/r1VT+Wh8K77xJQGE9M0IsPeyUKVWRhq4mMXh5Kk6AbRtuuH/dgx3sdiTvlhiTJ+HSKZ9CCI7j7Jhf32fNxO46ubkZmkjXWDnnU73CbCT/sLHfOzwYN49Y5V965+B1qS31+7c/TehMe0pT/7VlHvbYi5/futRosCpjAsmR9jmv0/rrs+SSAG6fdUJlrcKydif+waLpPPo25lYadizuw5+N2BmObqWQWx3wNwEznGcyLWEnNBmkG6zq+1o9104Mxty40aJ8XtpoaHllcO+bJ1gWdSbjogplKxq1xMk+8d4i6/krFx+ok8541n/QZyYydGw2qA/7baC4FcC7SgfE7T1Db0ZqVz/clVPqFfPIf9tIUFBQUFBQUFB4oFYpRQOn634+qffJ9k5RUtggBQqQoK11Mq4WUFH2bl5cQLEJDYf/+BxcVVTI9ztVVnx73v/+J7Rs3ClHmnXfg4kWRYrhiBbRrV31r2LwZVCo4e1YIMzpGjjQdFdS7N3h6wrffCiHmhRfgySfFujp1Eudy82YRRTV3rhD0+vYVRucTJwq/paVLhXgYXlRQaOVKYWberZsQsHbvhvPnhUBXVVxdxXtdWGh8LZSMxho50rSJ+OrV8Nxz4mdPT5E2uGqVsRjVvLkQ5BYvBj8/43FOntR7aykoPEyuh7nz1fAhDJh3lEk/bUNTaMaBL/1Z3n8Es/aH4OqdTliIH+HrfXnht99wrZ9GeqIN53Y2KHfcpDh7rh31xNohn3M769N6yBWD7TZOOexY1JGpmzab3P/05oasmxHM42//ycRV27F1yiPxsiOHv2tFarx9cepfmycuM+6bqodJerdLYMbOjUbtuekWfDt6MCOW7qPNkMsU5pvTwv1lAAAgAElEQVRx7WhtA8FLoXrY/m5HHpt39F8tRAG4y3V5ae95AOJTczh6JRVnX2cSNAkPeWUKCgoKCgoKCg+WCsUoWZYn/n8s5GHi4lK2CAFChCgrXczMTKSU3bmjb3/6aSGS/PUXHDokKsdVN2Wlx+nEKCcnIXYsXiyO7ZVXYMgQYWxeslLb313DxInGUVcvvijSGIODjfeZPVtEc02ZAp9+Kl7TpgkvLicnYQj+5puib5cuQlx64w3h5WVmJqLODh+GRkWFBcwsClj4jorL0RIajUS9evDVV2WbwpdHx47CfHzTJiE46cjKgp074b33xPkzxV9/iff5/feFYAYiKu78eZGSV/q6WrhQREDNmlX1dT7qqFDxf+ydd3zN1//Hnzc3e0dCgkRCgiR2BLH3qho1W6pFtbRVVVq0qqr0V5Tulm6JmkWR2lTskSCxEjMJYmaQPe/9/XHc3Htz781Qtb7n+Xh8Hsk9n7M+n3vFva/7fr/eLkoXclQ5ZKmzHvV2JP+C8I/b0GxIHO3HRhe39Zp2kCvRVdgyN4QXF27j8nF3/Dsl4lZTRBg5umfTasQpU1MCELkiAJ/gG9RoeoMjKwINxKhmz8dybE1dLuyvjl/rJL1zajWs+7Ad3d87TMuXTxe3u9e+w4C5u//tJZfKrXtm600HnAPA0qYI/07St+e/YMhX/zzqLTwUMhXpNPV2Zu/5FJRmCup7OnJclfmotyWRSCSSp4SFA/rh3fQGz3xwSK/95KZarJrYiY9P/cqKt7vgXC2TXtMOknLZgVmNR7Hg1jcozfWdeTbPaUFyvHOpX/RtntOCrfNCiiPcC3KVTPd/lVFhf1Onnf4Hqb8+aMedJHtGhm5iZqORZN62RaFUFZ9v/kIsA+dF6EWtKxRqXL3T6fXhQep1jwco3rOlnYgqtrQtpEaTm7QfE03djtr3aaWtYYrDywJYPq4bL/+6iSbPaT/Un99XnT/GdGfm6d8AiPqzLqsmdgJAXWRGYZ4SC9uC4v7zriwsni/i+yCSE5ywdsinQa+LPPvRfmyd/jcjossTGfXU07IlWFuLqJyBAw3Pd+kiIo1GlpDlVq0SY21t9dsHDBCCTNOm4O394MWostLjGjXS7+/mJsSo0FBhDO5auiVFudmyxXj74MH6Yo4uQ4aIQ8Pbb5tOVwMhKkVEGD93OyOPbdnHUT+byfJf6tO+rhs2Fvf/knZyEgbmb70Fjo4iFTApSURweXoKPzBj6Zog7m3XrvoRYTk5Im1v82bhP6aLn5+4D998I6LWyotKJVJKNSgUQkB7XFBiTk/FEKIuphPkbs9t21ji1DFlD5Q8duRnmxN/pCo93z9kcK5Jv/NsnN0KAJ/g66yd2gHnqpn4tb2KZ8PbmClLtxWMWhlAhzeO4930Bl92G0zGLVscqmgjYCxtC+nyTiQbZ7cyiFC6dd6FO9ccaNjnQslp/3Oq+N7BTKli6RtdafLcOXya3cDWOa/sgQ8QY2+kph0Jw65SLpvntuDon/5kpdjgVC2TVi+dpONbx4q/gPi29wASozyYFhmKi6cQPM5GeLHi7S7MiPmdyV6vF89ZkG2BuVVR8TqDv/iH4EFnOb+vOt/3GUjvj/fRefzR4v4l3wjaVcql9ciTdJkQZXTvVnYF+HdOZODcCKzstW/WykoL1azf5pUYBn4eUTzu656DCBl+ihZDYx/QnX44RLOP6QN7c+V2Nao52RJvEU2mWopREolEInkwNB96ho2zWtHz/UN6AQlRK/1pOvCsgeD0b1CrIWqVP7YuOUSuCMC76U0srIto8tw5IlcG6IlRqiIFx9bWYchXO4vbRi/bYNQyArRR6yoVHAyrT+joHnx86lc9Eeez+EUozdWk37Tl+F91+PWlXgyYG6H33qC0NYwRuSKg+Hp0xaiSBA86S/AgYY5cUqjSsOu7Juz8Nphh32+jTvsr3Llux+p3O7Gwf3/e3rwKc0uVsamfamQ1PYQI8cknIkJn3TrhAVVQIESEyZOFQHHgAEybJsScjAxRcS0sTKTClcTODv75B375pXzrq9VCYNA9NBQW6rcXFGjT486cgehoccTGiqghjRgyZYrwTSosFPtduFAIIOUVogqKHv9/DPsvJLPvQgq3M/OYuCqajJzCsgeVweTJIgLq3XeFINWihahKuHOnadEnN1eIg2+9JcRBzVGzpqGhvS4ffSSirkrSqJEwTdccEyZozy1fLozgNYev77++5AeKPU6MC41lyso4BnwbRZWcAGwVtmUPlDx2ZKdZo1aZ4ehu+CJ1dM8iM8UagODBZ+k/N4K4Xd5813sgH9Z5lR1fGTGCu8elQ9VIveJA437n8Gp8C7eadzm6uq5Bv9YjTpF21YEz27312rNSbcQedMSr0Fd6MNVnLO9Vf4PIlf7F7dHrajPVZ2zx8V2fEtUJTJAY5aE3blbQywBYO+YzftOfoICVEzrzYe3X+HlobzJuPdzX+OhlG5h3ZWHx4VQ1i99HPsP5PV6MWbmeOZd/4MWFWzkQ1oC177fXG2tpW8C2+c2Nzqs7p7Nnht46mjdYkcsDxZuy5UZyjBFvBOddWcjIxRvZNr85Z3fph85q5nxv9zKSTlTWe61o0kLr97zEzNO/MD36d6rVT+brnoNITnDUXoNdPpErA0i57HBf9+9xIledy2bVn8S7bWOX+SrOq0+XPUgikUgkknLS4JmLZKdZc+lgteK27DtWnN5Wk2bPP9gvcC4drEb6DXv6f7abY2vrUJgvpIbmz8dyItyP/Gxt0EDcP96oVQoCuiRUaA0zM2g2OI78LEuSL7oY7ePonk37sdH0mHyY8JltUN3nx9rUKw5c3O/JkC//Ie4f73/1fi833ZLNc0MYMCeCgC6JKC1UuNbIYMRvm0i74kDUKv+yJ3kKkWLUPSZOhC++gNmzhQeRlxd8951IbatdW6SGxcSAj4/wilqzRqSQtW5tfL7g4PILBQcO6AsMNjZCRAJ4/XX99pEj9dPjdMWPceNg6VIxNjtbGLI7O0OtWsJfakNJK3oj3M0pYEP0NSatiuFU0l0Kih5fL5QalWz1fleaPZj8w1deEUJeTo4whf/xR5FCCKKyYkm/KGtr4RtWMvoJ4IcfYPVq8XtCgn7qopeXELJ0I7/UaiFQZWZqj6++0q6tVusfptIGHwk//sitLz/n/E3xrb5aDZduZ2GtsH7EG5PcDzbOuSjMVKTftDM4l37TDntXrWoePOgsb/z1F5/FL2Lwgn/Y/FkIsTuNV004sjwA/46Xi8cHDTjLkRWGwoa5VRHd3z3M5s9aglr7b9vWJad4Dxpe/nULcxIW4dnwNqoibd/G/c4zJ2FR8TFuw9pyXbt38A29cdOPaRVlj7ppDPt+OzNP/8aU/X+QfsOOtR+0K9e8/xXndntxdlcNRi7eSNXAFJTmanya3eDFRVvY90tDbl9yKu7b7rUYjq2tq9dWXvKzzYkJ92PgvAhuX3Lm8vEqJvvWaHILD/8Ukk66GT3v6J6Nf6dEkk5WLm7TTQu1dijAziWPXtMO4h18gy1zQ4r72Tjm0fyFM2zVaXvSyVJnUUBB2R0lEolEIqkAljZFNO53nkid91rH19WmSu00qtdPfqBrHVkeSL3ul4ojiE5vrQlAzRbXcXTP4sTf2g/HkSv9CRpQ8cgsVZGCw8sCUVoU4eKVXmrfhr0vkHnbllvnjYtWZRG5IgCvJjdp1OcC7nVSifrT8MvT8hJ/pCqFueY07K0f2W9lX0BAlwTORvzLamNPKDJNT4dhw8RhjPr1RQU1U/j4iA/fxujSRQgRGnR/HzFCHMYwlZ5mCt30uG+/rdhYDTfTcxm/4jgAO2JvsuvdDrg7KssY9Wjwq2LP8ldDiLuRTs/6VXG1f4zy1Z5QCopUpGXno1QoKn4/69Yl8U4K7z/rx9yNF/Gv6kAjb3u2qO6WPVby2GFlV4hPsxtEr69N7bb6qufxdbWp3c4wxFlpoaJxvwvs/CaZG7GuBHTW91PKz1ESva42KpWC6f6jASjMU5Jz15qkU24Gb4qaDzvDzm+DObFR++bFvU4aTlUzOBHuS8dxxx/U5d4X7nXSaP7CGQ4srkCu7X/A2YgaeDe9UZx6p8En+CbO1TI5t8eruGqgU9VMQoafYsvckAqbu8eE+2FlV0Djfuc5uroukSsDqNHkltG+CZEeXI911UvT0+VOkj2xO3yo3Va8jsqbFqqh68RIPm32Ep0nROJe+06FruN/kdI8KnQrT5op1XjUTaHvrL3UbK41UT+6ui4RPzTh5nkXrO0LqFb/Nt0mRVIr5JreGsZ8NaD0ipvf9h5A8KA4LGwKy+W3sfTNrhxd5c+ME7/hVFUbuZl915J109oRu8OH/GwLHN2zaPHiabq8fRSJRCL5X6b5C7H8NKQP/edGYGlTRNSKAJo/4Kio/Gxzotf7MWzhNpQWKhr1uUDkigAa9b4IQLMhsUSuCCB48Fly0y05tbmWgRXDr8Of1bN66Dtzb7E/qCZqPT/bHKW5mhcXbcWhck6pe3LyEP9HZKdpvxgvbY2SRK4MoM0rwm4kaOBZIlcE0PHN+3vvmZVqjZ1rjlHxzdE9myvRpr/ge5qRYpREj/xCld7vpgS2xwFHGwta+rrS0vcBmWA9Bty+DSEhsH+/1g/sYVFUpOLsjQy+33WBtOx8vhzcmKrONuWfIDyc7MyNePd8kfUBDckhi93qcIp4fKPrJFqKCswoyNUKz2bmKnrP2M+igf2oUjuVFkPPoCoyY9f3QSREVmXSzhWA+ABq75aDb8skLO0KiNvpzY04V7yDbxqscXKTL2ZKNVP2L0VpoX1dLB71DJErAqg+e69ef6W5mh5TDrF2qjbVTKGAvrP2snJCZ6wd8mnU9wI2TnkkX3Im43bFwqeL8pV616y0KD2O++Y5F85s86HJc+dxrp5J2lV7jq2pi3fww618pvtGyq/NVewr5RhNpwSRUpmVov/vuOs7Ucxu+jLXYytVaN3IFQE07ncOM6WaoIFnWTu1Pf1m7dW7b9P8xty7r+Z0fPMoDXpdNNi7QgF5mZbUbneFHvfEp/KmhWrbsmk98iSbP2tZLGpIjFOWRwVoK08WFSrYMieExSOfKfa62PV9E3Z+HcygBf/g3ykRc0sVsTu9Obmplp4YZcpXo7wVN8vjt5GXZc6JcD+sHfM4+mddOo0/Vnxu3Qftyc825/1DS7B2zOP2BReuxz497w8kEonkfqkVcg17txxObfKlRtMbXD7uzqiwjQ90jRMbfVGaqwnsmgBA8KA4fniuP5nJNti75dDs+Ti2zGvBnWt2xP3jjVvNu3g2vK03xytL/jbp5+QdLDyj8jItWD6+C5cOVSvVwwng7nV7AGxdtNH8pa2hy6VDVUlNdCSovyha03TgWTbNbsXVk254Nqh4RJldpVyyUmwoKlQYCFLpN22xcy1dWHtakWKURI/qLjZM6lqHPedv82ZHP5xtH+5LJOlODmuPXqWRlzONvJxxsrF4qOs/aqZNE6miD1uIAkjJyuduTgGB1Rxp7evG5lM3GNWmZvknWLCAxoVJrO4RwGnufRP9GIuZEn1+GtJP73HXSUfoNe0gY1evY+OnLdk4u5UwlG55jbc3/UllXxGNYu2Qz44vmvHH2e6oihRU8spg4Px/9D6kaohcHkDzoWdw8czQa287Ooa177en98f7DMYEDTjLji+DyU7TCipB/c9j45jPjq+C+evDdphbFuHimUGrl07SuK/2jcnxv2pzcpP+h97pxxYXf5M2p9VwvXNDvtqBmbmKhEgPPTNvgHHr1+LokUniUQ8iFgaRc9cKG6c8ArvF03em4b7/S0q+kQqf2Zrbl5yN9k2/aWfwBsfeLYe2r8aw+bOWtB51olxrpl215/xeT56dfgCABj0vseqdzpze5kPDXpeK+3164UcUCti9sDHH1talqMBMz5BTs/cL+6uz5LUeZKXYYOuUr5cW6l4nzeAadNNCNXR++yizgkaQdMp4KqBE61Hxwjc7COiSCFDsUTEraISBR4XSXE3TgWfZ/kVzMpNtUFoWsXlOCEO/3V787TZA/R7x1O8RX/xY46sx4vdNhL7SU68owf1U3DRFTLgfNo55dBx3jINh9fTEqMvHq/DMtIPFRQXc66QZvJYeR3SN/S1tCwnsksCAe8b+p7fWZOvnzbkR54q5VSEBnRPpPWM/ztVFFKSpClPV6iXzWcsXi9fIz7LE0rYAFOI/5TGr1uPb8prJaLZFg/py6VA1vX2qCs0ozDNnxonfcPHMoDDfjB1fBXN0tT93r9lj45RH1cBkOrx+XK/KqKwcJZE8HgQPiSVyZQC3LrhQt+NlvcIxD4LI5QHkZVkws+EoANRqBUUFSo6uqUP7MTG4eGbg2/IaR1f7E7vDm2ZD7i8yy8q+gEHzdzEraAQthp0xELR0OfG3L/aVs6lSu+L/F0SuCECths/bDzVo92yw18Qo0/g0v465VREnwv30/t7mZZkTu8OHXh8eqPCcTwNSjJLo4WJryWvtajG8pTf2VuaYKx+erdjtjDxe+OkQl1PFH8f1b7amkZfxD1hPKz/99OjWzi4oYvivh1GpYYlDIstebfHoNiN5qMyI+d3kuVoh13grfI3J8416X9T7kFoaY1evN9re5Lnzxf8xD/t+u945MzOYemCpwZiALonFH66N0XPqYXpOPWzy/FepX5s8V1pFthG/P35ROHXaX2b3osakXbXXS9VLPOrOnSQH6rQ1NJfr+NZRZjcZSY2m5YvqiloVgFplxs9DteZ4BblKolYG6IlRAGZKNR3HHefERj/2/dqQDq9HG8zn1zqJ5i+cYf1HbRn9x9/3lRZqVymX9mOPs+n/WpbrGv4XKY9HRRU/7Zv0wnwzIlcGYFcpBxvnXM5F1KAw15wGz5b+b9yYr4YmleF+Km6aXieQoAFnCep/jvXT23IlpjJejW7fW+cGm2a3IueONbVCrhUL5k8CmupOd67ZsWhgP7YtaI5X45ssf6sLgxbsouGzF8hNt+LvWa34+plBvLd7WbHoZqrClCatEWBCpbd5b8/S4nRdDaai2cb+qf+3WlWk4Pt+/anklV78ZcLvI3px97odw37YWvxh8PweL85s8ykWo2TlKInk8aHZ87FsX9Cca6ddee7TPWX2L8xToirU/q1WWoqIdrVKoRdVrlBAZoo15/Z4MWbVeqrV00YN7V7UhMgVAbQfE1O8h03/15KMW7YM/8lEWfZyYFcpl5bDT7H18+a8ssQwwivjli3R6/3Y+nkLnvu/3ZhV8ONsQa6S4+vqMOTLfwjspv3iJSZczNlH50tI3XsBwvPUGDaO+XSffJg1Uztg7ZCv9zfRuVomzYbEVWyTTwlSjJIYYGWhxMri4ftEqVFzMz2Xqws7UpRpzdlnb9PIS3u+cWNhIh8fLzy6DhyADz+EyEjxgbVdO1HdMDBQO+b//g9+/lmkvzk7C8P5lSu157duhU8/hePHhRF5YCBMmgR9+mj7RERAx45i7smTte0JCaJint09H2U3Nxg7FqZO1fbx8REm6ObmogJiYCC89BK89hp6fxjLcy3/NckZeaju/Z9zKyMPG0v550EieRKo2+EKddpd4fcRvXjh2+2410nj8jF3/ni9O61HnTD6odzWKZ8Obx7jn2+aYmVftnF25Ep/uk8+ROuRJ4vbLh9z5/eRz5CVarxIQZcJUax8pxOtR57EwtrwzVn7sdF80nhkcch7edJCS9LxjePMChrxWKeUP0rK5VHhl0b0utqc3lqTvEwLbJzyGBm6EaW5mqw00+N1Kc1XI3jwWVDAkWWBbJkXgrlVIZ3eOmbST8wUaVcduLDXk76z9uBQJZva7a4QuTygWIzqPzeC3QuD2PtLQ1a+04lKXhn0nxNBYFfTovXjhnO1LAK6JHL9jCvH1tSh27uRxamLljbZPP/NDua1GUbED0145gN9fzVNhak/J3Ym+aILNYIMU6V1KS2arSR/z2pFdpo1Y1YKkepshBfnImowLTK0OEoL9L8kKE9UXsiLZ+7vRkkkkgrjWiMDn+bXuXbKjfo948vsP8XrTb3Hr68VRWCOranLsTVaI2+nqhm0ffUE1Rvc1ouKBGj3WjS7vm/C9TOuVA1MoVGf86yZ0oHa7a7g5GH49+aXoX1QKLUidd0Ol42KTSDeQ8xq+jLXTrth5SDE+fdrjgW1AkvbArwa32LEb5sMvrgszxonN/piaVNIs+dj9awIQl48zZY5IcTt9MHSLp+71x14r9o4vbHTohYb3S9A5/FHsXPJZf1HbUhJcMbKIZ8Gz1xk+E9bTIpYTzvy06bkscHB2pzvhjah9/cK7Kvkc+lQJWgjzp08KarbaTh4ELp1E0LS+vVQUCCqIbZuDUePigqCoaGwZAns2CEqG964oV9RcPVqGDVKjAsPBwcH2LtXVMvTFaNCQ6FSJfFTV4zScOeOEJuioqB9e2jaFLp21Z4PDxcm9nfvwu7d8PbbcPgw/P57+a/lYVDTzY4e9d05dCmV8Z1q42Al/zw8zlhgQTXzahRQwLVCw5Q4yf8WI0M3snlOCD8O6kdWqs09o/LTdBpv+gN/+zHR7PmxcZlzJ0R6kHrZkbajT2Dvpv1DXL9nPJVr3uXYmjoEdjd8YxvYLR5bpzwOhtWn3WsxBuft3XIIHhLLts9bMCpsI7VCrpWZFloSa8d8Oo0/SvjHbcq8jv9FyutR0bif8IzKTLHm95d7cTW6CrXbJGHnYnq8hvL4amj8oIoKzDi5sRZLxvSgeoNbBkUOSiNypT/udVKL52w6KI7109vSd9Y+lBYqLG2K6Doxkq4TI8lNt2TH18EsHvUMM078hp1LXoXv3aMg7ao9sdt9cK+bStpVR720YxCCU6PeF4nbVcNAjKpIhSkoPZpNl5ObanFgcQMm7VyBpa0o9Xxudw1qNL2hJ0SVpDxReVKMkkgeLqYi3XWj0l1rZJiMHq/b4YrJqHNjXzA4Vc3ii1vfFT+2sitk7uWFBv2g9Cj9FkNjDaLWnatnsuDG98WPS4t4L88augQNOEfQgHMG7RbWRXx6QZvGYmrNyrXuGngeaggZfpqQ4cYN0zVUN6+Oi6ISFjz9djXy0+ZjiCaaRqkTnDRiBAQHw8iR8M47QqzQsG4dPPccvPwyLF5sGLFjZwcDBsDXX4NFidd0hw4i2ujGDbDSKZ728cdw4YIQZjTExwtRZ+xY+OEH/XkUCrC1FT+trEQU02uvwZAh+v3+/hs++QROnxaRSD16iAggT0+wsTAn4WAV8u4oUFnAtCkKli8RIk1EhIgo+vBDcW1mZuKYNk0cv/4qvJb27xdRTFlZkJ4Ojo5CYPL1FT5Mr70m9qFWw8SJMH06jB6t3V/79uLQkJ0tRKuffxbrR0WJ58EYwcFQrx5ER+uLURqcnITI5eEhTMonTRJVGidPFnO//ba27+zZQoj6+GMICzO+3oPG1d6KOf0bkl+ows7KHDspRj0UkhMcOb/by2QlD2PYKGzopOjHlmMpuNlb0sGvCRGqB2tEKXk8MfVGysK6iD4f76fPx/tNji35JtTKvoDZ534ucx2fZjeYf/17o/2mHtT+J1HyTZlCoX/e2N4HL9il97istNDabZIM3uB1Hn+UzuNlxTRjlMej4s41++J2e9dcBn/xD190eZ6ggWfFeOtCTm70pXHfC8aWqJCvRlkVN0sjcmUAd646FFfiVBWakZVqQ+wOb4Nv+a0d8+n6TiQ7vmxGaqITdi7Gqz4+LmiKEtg45hHYLYGgAWeJ2VDbuKG/RxZZqVoPvfupMAXlqxKVHO/Esje78sI3O/QE4awUaxyraPeWlWbFrCYjQQ2F+UrmX/9eVo6SSCSS+yBI0YaUeFe2nb/LyDbOFLmpUD5E25yHzdN7ZU844eGQmak9vrsnKvv6ijSzwkJt37AwqFPHcI47d8TYkydF9M33JT5LJCQIoUah0I8YMkVYGLi4wIoVkGfkS8aYGLHe2bNCPBs3DmbO1J5fvRqGDhWiS3KyEKSsrKBNG0i7Z1lhoTTDykrBpk0K/PyEyDZkCCxfDi++qL/etm3a+6MRva5fF3MnJgoBqaBAXGNUFBTpRD+ePQtXrsDAgaVf85o1YG8PgwZB9+6lC0OHDsGpU+DnV/qczZsL8W3vXiF2HTgg5i/J4MGwfbth+3+Js60lVRyt70+IWrKEHQtffvCbeoopzFOyYnwXo5XnSiOAIOasS2D+5ktM/TOO6Dg1Ncxr/Ee7lEgkTyq6HhWxO7wpKjAj5bIDi0f2MulR4V4nDf+OifzzTTA2jvn0nHqI1ZM7cmJjLfKzzSkqMOPMdm82zGit56vx3u5lxUf/uREcXe1PUaGCw8sCOL3Nh9wMC1QqOLPddMVNU8Qf8SAl3ol3dqwoXmPK/j9oOjCOI8tFPvvWz5tz+Zg7hfmiMujuHxtj45Sr54n1uPLKkr+Zk7CIGSd+Z9D8Xdjfi1hLv2ln0Df9hh12lbRik3fwDeYkLOKzSz9Sr8clA+NxYxiLZrt+xo2rJ7XFAApylfw+4hlaDDtDoz76QqRtpVy9vdm55DEnYRGTdi2nME+8f9CNyjO4hv/hylESiURiCmuFNXbZ1Zmw7DQrI68yeNFhUrKf7mIPUox6wvDwgAYNhNcRQGqqEDN008pKUqWKiNQ5UyIaOixMROiMGCFS0MoiLExE7FhYCLHMFG5uMHw4LFwIn30GKSkiEmnSJBHZNGwY2NiIa/nlFyH2fPml4TzDhwuhKTtbiDfVq2vPqVRQtarhmIQEyM8X0WAvvywiuBITRbRTlSowZ47ol5IifhqbQ5fQUCF0KZVCSFu+XAhcJa/XxgZatoQ33oB+/YzPpUu1auK5S001fS1Vqwph7YnBy4tMT5dHvYsnCnOrIsZtWKtn9liucSprrt/VKsJXU/OwVFg+6O1JJJKngM7jj/LshwdY/1Ebpnq/zpddn8e5egZvrFtr0qOi48kvF8UAACAASURBVFtHORhWn4zbNnR88zj9Zu9h+4LmfFjnNT5uMIp9vzSiwTOX9Hw1HN2zi4+QF0+jLlIQt9OnuOLmzIajeN9nLOEftzFZcdMUkSsCqd/zEtUCU/TWaTcmmtPbfMhKs0KhULNsXBem+b3GjMDRnI2owWsrNpTLE+1xo0rtNJyrZRC9vrZeu0oFMeG+1GlvaOivqTAVuTKAqycqlzq/bjTbdP/RfNl1SHG7htXvdcTSttBoldM67a5w+bg7d5LsDc5p0I3K00UTlVfHSFECiUQi+V/GDDMycrURJ9l5RU+9J6bMw3kCeeklIQz16iWilPr21U+xK8m1a0K80k0DAzHHxInQooUQpW7eBHd343Ps3QtXr8LzzwtRKyys7Kiivn1FBNeRIyK17vJlwwggMzORQrhtm0jf02XoUJH6plCIay457vp18NevSk2tWiK9cMUKaNVKCF/DhgkBad068XuTJuDtLfpfvy72ZowrV2DXLiGoaa7ntddg40Z9wSk5Wezxq6+0YpVlGbpAUpLwoXJxMX0t168LoetJwMcHbl4rBLNXMHdU6ZWmntloJM9/vUOvFP3hZQEcWlKftzf/ScplB2Y1HoWlnb7y//zXOwjqf56lb3bl2Oq6KC2LMLdQ4dnoFgPmRnAlpgqrJnYCQF1kRmGeEgtb7YcOTSWhpW925egqf2ac+A2nqoYpDxo062g+nLl4plOvRzxdJkRh45hfvG9NGW1dph0Jw6lqltFrLY3z+6rzfZ+B9P54n16akeaeBHaN57WV2rDFJWO641bzDh4fxDKzf1smLj7P9V2+LFzmzu2Uuti6tMM76Aadxh/Fu6mIOphQ6W29kt4A3d87QufxR9k8pwXJ8c4M/3FrufYrkUieTErzqDDm/+ETfJN5V7X5+BrPp5LUbHG9XL4apVXcNJaWWTIdc/AX/xgd6930ZrFnSLd3I+n2bqTJdZ4kFAro88leVk7ojHO1TBr00lbTy82wosPrht5OUHaFKShflajIFQGc3laT9yKWGU2z8+90mdptrvLr8GcZMG8Xng1vo1CIlEENsnKURCKRVIxsdTaVXPMZ1aYGkfF3Gd/FFyebp1uuebqv7gmmXz9hiq3h88+1fk/PPSd8o+7eFaLQggWw2Ui1cY2QcfeuiNrRFY/27RMRQ4MHi36+vrBsmZjXGKGh0LOnEE+GDhXV3m7dEtFGprCwEHOnpgpzcChfBFBenrj+vDyRWmdtLaK3dFEohN+UzT3bhIMHISBARBwpFDBrFsTFiSiyn3+GZs2EEDZ3rkil69YNvLxEGt677xrf/5Il4lvI3tpK5uTminteMvpJqRSRX3/9JaKxJkwwfV8iI4UY1aaNiOBq2RL+/FN4XemyahV07mx6nseN8IApBDhs4JcfpxSXpu49w7R/TUk+i19k0iC30/ij9Jp2kPwcJX++24kV47vw9pY/iz8cnd9XnT/GdDfwksnLMudEuB/Wjnkc/bMuncYfK3UPmnUKcpVcP+PGho9b83WPQbyzfSVWdkKA0pTRfhBELg8UZbWXBxj1vEmI8uDSoarUCrmu135DdY1CywMkr+mJi1Mhw1eux6H2VQpylcTu8OHMdp9iMQowWtJbIpFIJI8vQf3PY2FdxLYFzVk5oTPmlkXU7ZTI25tXYVcp1+Q43QpTxqJuy1MlavuC5mSnWfFp85cMxo9ZtR7fltcYFbaR7V8G88fYHty9boetcy5VA1MY8+dfxX1l5SiJRCKpGBGqjbRu24hurV2oalOEtcXTLdc83Vf3BLNunajApsvixeKnjY2Iipo9W4g4rVsbF6OSk4WglZMDH30kxJsDB8S50FAhyGgEq6FDRZsxMSonR4glv/wiHrdsCTVqCPGqNNGloABu3xYRQJp1jEUilYwAsrIS1x8SIlLk7OzEoeuTtWOHuAeffCJM3QsLRQpgVJQQe2rXhm+/FdXp+vQRUV3btgmfqhYthGD1xRfwyivg6iqis+ztxf0JC4OffhI/Z8wQhu0ajhwRopYmza8kU6eK6KmxY4WIpkt6OuzZIyLUXnxRCGUgUge7dxeRUZprWbBACGyRT+CXvMWlqWNdH/jcljZFNOl3nsUjnylX/5hwP2wc8+g47hgHw+qVKUZpsLAuokbQTUYvDef/mr/MkWWBtH31xL/ZugH52ebEhPsx5MudLH2jG5ePV6FGE32T3U7jj7Lp/1oybsNag/Hhyx1Juq5iWnhYsVBmZVdI474XTBoNSyQSieTxorTqTg2euUSDZy6ZPF+eClOgX1ygPFWi6hmpjlkSc6siek49bLKylobyVI6SSCQSiUCFilOq41hiiatZl7IHPOFIz6gnlJdeEoLF8OFl97WxEZFFBw8KgSonR0Td7N4tfJs8PIRnU0yMOEry119CSHnjDW3/pKSyq7ytXy/EsObNoW5d4fv0Z4mAEpVKRCcZiwCytxdrbNsGx0tEpLdpI1IP164VkVXe3qLPvn1CiALhMZWSIioFOjuLqnULF4qxICLFVq6E334TEVXu7kLQ6ttXmJEnJMCbb2qv2cNDCFt+fiIdzxi9eonosZ91ClT17i0iw7y8RGXAiRPhd533nuW5licJTWlqzwYPvnpRXpY5x9bUwa2m8TLvJYlcEUjQgLME9T/HrfOVuBJTuo9GSawdCqjT4TIXD1Yvu3MFiQn3w8qugMb9zuPfKZHIlQEGfdq+coLbF104G+FlcO7cbi/qdkosFqIkEolE8njjYOZAK7rRXt0bH7Myqp1IJBKJRPKUIyOjnlDatxeV1po0KbtvXp5IOfPwEFFAK1aItLKTJ/W9jQYP1qb96RIaCqNGCSFFQ1KSSH07eVIb4aMhNVVEak2cCFOmiDUB5s+HV18VotRzz4n0wQ8+EEKXbkRWcLA2KszVFUaPFhFQf/0F8fHayKo2bSAiQn/tKVOEQOfvL0zbd+4UJujnz2OUHj3EYYxcE1Hwp3W+4CtpKqdQ6J9PSDA+R0mMXcuTRr9Ts1EqZqB8BgK7JdBlYsXCuqb5jdF7PGHrSjzqiipIu74LYu/PjcjLsMTFK53RS/8uc760qw5c2OtJ31l7cKiSTe12V4hcHoBXo9sV2peTR5ZeCWpNGW0NdpVymH6sHBUAShC5IoDG/c5hplQTNPAsa6e2p9+svXppE+bWhXSdGMmmT1sa+FBlpdrg1Vgr+F096cZ3vQeiVoGjRzbTjmjV4vkdXkCh89XDy79uqlBJdYlEIpH8OywVlrRT92bS0rNcu5PL3CGN8K6iJlFl2k9LIpFIJJKnGRkZ9ZjSu7eIDNIczz2nf16hENFElSqZnsPZWYx1dxdRURs2iHGhoSIdrEYN/aifceNg6VJtOpxCIUSnnTtFOp5u36ZNhYijW4WvUSOxnp+fSOn78kt9U/IhQ4Qo9uWXIi0vMFBEae3frxWsjDFhAmzaBLsP5XMzPVfv2jTHF1+IvtnZ4l45Owsz88REcd0Pgg4dRNRTnraIGSNGCEHP3l5EPzVtKiLONCxeLIQ/e3twdBT36G8jOsrHH4v7feSIfvvixaL988/12z09hXg1dqz2HlhaCp8uzeOePYUYplDo3yt7exERBiJ9ccAA8Xw4OQlhUZMOWlHW1f+QMyFNi0tTW9oIPwiluYqiAv0/NaoCM5QW+n4Rn174kTkJi4oPjRAF0HHcMeYkLOKjmN+xsC7k1nnnMvcTudIf9zqpeDYQnhlNB8VxdE1dg72Uxd3rdti6aJVJTRltzXE/QlTaVXvO7/Us9rxq0PMShXnmnN7mY9C35UunyLhty6kt+vmtti65pN+0LX7s2SCZOQmLGBW2kcI8pV7fdyOW6+1ZClESiUTycPFQerA5OpmYq3e5nZnHR2vP4VVU91FvSyKRSCSSR4YUo0pgSnD48EPj/RUKIfbo+hkVFgpjb4VCf15ra31BQGOMHREh+r75pnickCBEmsaN4bvvRGRP377C3yg6WoytWVMISufupf3Pnq0VNOrXFx5Lbm5i33fuCIGkWTPRd+pUId7Mm6d/Lc2bi4p6IKKVXF1FqlthoUil0xU6NP5K8+eL/uvWiZQyMzPt0aqV4f3q21f4IGVliQiq5ctF+pruvd5XooqwpyckpeQx78hhhizbyWthUSTeyCMzk+Jj4kTR99tvRRRUZqbwq/r7b2Fs/m9JSBAVBRUKQ3Fr8mSx3t278Prr0L+/MF7X0LKlOH/njkh1fP558bsGtVqIdJUq6Yt7GipVEsbr6emG5xYt0t6DDz4Qgp/msa6P2J076N2vIaKKM8OHi/ufmChSGsPCTFdULJOPPmLL4tEGzS6eGaRecdRrS7nshItXRoWXcPHMoP9ne1j7QXvyc5Sl9o1cGUBKohPT/Ucz3X806z9sR1aKLbE7vMu9Xl6mBed218C3ZVKF91oaUasCUKvM+Hlob6b7j2ZW0AgKcpVEGUnVU1qo6D75MJv+ryXoROLVaXeFs7u8ycuSAa4SiUTyuJOrzqVmFZvix96utuQrch7hjiQSiUQiebRIMUqH0gSH0nB21v/gv2mTELRKohGWNEd4uPacnZ0QAkpL69KIGnfvCgNvGxsRiXPqlH4/jfCwerWoKrd9u/750FDTwodm/NatIl1OF12hQyOuAFy4oPWwuntXpNK98YYQpB4Ut9JzOX1NqDFbT98kp+DhVmEJCxOG6iNGmL5vZmbCCD41VSvqlTw/fLgQ4nTTBvfuhWvX4OuvRQplfr7+uIAA8dx/+eUDu5xiIiPFNdnZCX+vJk1ERNV94eRErqu9QXPj586xe1ETbp5zQa2Gy8ercHhpIEHPGRqomkIBBJg1ooW6M892tsPJI4uDoQ1M9o8/4kFKvBPv7FjBe7uX8d7uZUzZ/wdNB8ZxZHlgmesV5im5El2FX4c/i41TLs2Hnin3XosKzCjIVRYfRYUKgz6RK/3pPvlQ8d7e272MUaEbOb3Nh6xUa4P+zYbEUZinJHanVkhr9nwsju5Z/Db8Wa6fcUVVpKAgV8mV6IqpiWqVQm+/JaOqJBKJRPLvuVV0C7dq6fw0sgEf9avNzEG1OKUo3fxbIpFIJJKnGfmVug4awaFFCyE4DBpUvnHDh4uxmkinsDAhzpiKpjKGs7NIL5s5U9/c2hhKJfj6wg8/wOXLIiJq9WrDfsHBUK+eiKbq2lW0ZWeLvj//LPYYFWUoOtWpA/36CQ+p8hAdLSK1NCbkDg4i9etB4mpvhbOtBXeyC6jpZoeV+cP9wBwWJqKvWrQQr5GbNw0jiIqKRL+aNY1HFxUViefWwkKYlGsIDRWvnSFDRKW9v/8W0VW6zJolouveeqv01MyKEhIiIvLeektEstWo8S8m27oV/7OHODVU/wXV8qVT5Nyx5uehfci4ZYNztUx6TTtIQJdEvX7v1xyr97jn1EN0fFM411enJqeibrPtZDJDW9Zi5FvpfP1hU1qPPGm0PHTkikDq97xEtUD9softxkTzTa+BZKVZYeeSZzDun2+asufHxqhVCip5pRPYPZ4RiyP1TMITIj2Y7PW63rhx69dSI0gokD8N6ad3ruukI/SadlBvfOplR9qOPoG9m/Zb8fo946lc8y7H1tQhsEQlIzOlmp5TDxH6iraKoIV1EW9uWMPmz0L46fk+ZKXaYFcpB6/Gtxjx2ya98Z+3GwYKbVhVyIun6f/ZHgCOranLsTXaVBGnqhnMPP2bwb2RSCQSyb/jsHoXrh6uOFS1YmvRLQqRBSgkEolE8r+LQl3Sgfl/jODgYHVUVBQgvI50BYerV4WoMGKESBWbPdtwvEIhTLw7d4azwv6FunWFz1KDBlqD6w4d4MUXhRl3SSIixLmoKCEERUaKOdq0Ef1HjBA+Pr/8YpjC9ttv8P77QhxJSBBCSEGBiHI5dAg6dRI+UBrPqSVLRFrZ1atCcKpZE775RpwrOV6Xjz8WEVB//GG4/0uXhP/T66+LanPNmok0vgdJkUpNcmYeSXdy8HKxobKDYfTIf8W+fdCxI1y/LlIf/f1hzBhhuj5ihIhmsrbWGp7/+isMGyZ+X7xYPIf29iIiytxciE8aoS87W3hwhYWJ52PMGFH9b/167XjN8z54sHh+5s4Vr8c//hCvKw3GniPNc+rkpH9NBw+KiKu0NDFfeDjExYnX7M8/a1M6K0SHDiQVJrE6fNx9DDaNAgWdCp7n2S+0huhb32vGFjMTJQ0lEolEIpFIJBKJ5AnFEku62HWhtuUTWFq9BAqF4qharQ42dk6m6d1j3z7hmzN4sEh98/WFZcvKN9baWkS2rFwphIk+fURbScaPFxFQmmP6dP3zHh7CkPqjj8q/72rVRFqYLm5uIoWvZUuRLtdPJ1AjNFRE4CiVIqVs+XIhPpWHVav099+xo2ivVUsIaklJ4v65uQmRJjOz/NdRFkozBe6O1gTVcHmoQhSIe9atm7guEPdNN1Xv3XdFymJOjhAU33tPP20zJEScT0sTr429e7Xn/vpLCFTP3At4GTZMjL1tpODbJ5/AwoVCrKooycliD5pD46Pl4gJz5ogKgDdvCp+yfv0MqwQ+StSosTJXYnYv283K3EyvMpxEIpFIJBKJRCKRSJ4s5Ee6e5QlOJTFSy+J6BZNip4xvvlGXxCYNcuwz5Qpwq8pJqZ86yYlGaZtJScLIWj+fCESacSmK1dg1y5t1E7fviKaZ+PG8q01eLD+/nft0p4LCRFi1e3bQmzZswc+/bR88z7O5OSI69q9W1tJ8MsvxfNT8jnSmMe3bm38ntrbi9TKJUvguMg+IzRUPFeayoaDBonna7mRoB9/f5G+93//9+CvE8Rr/913hX9VSYHzURNvdpLfRjfmxZZe/DG2CbFmkWUPkkgkEolEIpFIJBLJY4kUo6iY4GCKtm1FGtfNmyK97n5xdYUJEwyjpkzx119i7ZIolTBpkojQ+uEH0bZkCahUIorLw0NENOXmCgHtQdKsmRBNShqrP4msWyfu5ZkzwhsrOhpiY8U9N3bf4uJElF29esbnc3UVaXuffCKExJ07hUeUZu6YGCFImhJCZ8wQvlO61fj+DVOmiOepsBAyMkTklZ+f2OfjRKw6huuV99CmyzXiHLaToLrwqLckkUgkEolEIpFIJJL7RIpRlE9wKCoSwo3mKFnxTKEQvjsbNojf/w0TJ8KBA2IPxigqEhXr3npLRD7NmGF6rqlTYd48reg0Y4b2GqOjYc0aEcWTouPznJenf60qVen73bdP+AzduiUex8WJ+xASUqHLfiwJDYWRI7WRS5pj3DjhxVVYKO6vvb2oSNetm+g/ZozpOSdMEBUXf/1VpMV166Y/9/jxcOKEcTGvZk1tRb6K4Ows9qg5vvhCtGdnCz8xZ2chTiYmVqyS5MPkVtEtzuafJVX1mIVtSfSY2WgkH9Z9lbwsrfHcwbB6fNt7ACmXHZhQ6W2DCoNL3+zKxk9bAnB4WQATKr3NX9P0VfYTG2sxodLbLH2zq157XpY5k71e58fBfSu0Fw1qNez+sRFzWg1jsucbzKg3it9HPMO1M64GeyvPmhKJRCKRSCQSiaRsZDU99AUHDR06wLFjwpS8a1fhqzNnjvZ869ZaM/HZs8Ucv/+uNRt/5RVxztFRfMgvKhICxoQJ4sOPRsyysBAChK644Ogo0rUWLRKeTxMnikiVixfB0lKkcSkUWtGr5b3PSdWq6e8/JkZEa7m4wOefCzPrN9+EypW1/fr0EZEwy5fDs8+KtpLm49u3i58rVwrhTpdLl4SQsWGDqB6YlSXSvYYMEUbpTzpbthhvHzxYa0JuzNRdw4gR4tDF01MIfmDcH6xaNW1qZf36huN/+EEb7abLxx8btvn4lO7/9O23ps9VmE2b+Dvtxwc4IbibuVNN5Ue+WTZxqhMUYVg5T/L4oSpUsOfHJnSdeH/plG417xC9rg59Zu5DaS5ewFErA6jsl2bQN2ZDbcwtizi7qwZ3b9ji5JFdob2sfb89Z7b5MOSrndRqcR1VkYITG305s62mQTXG8q4pkUgkEolEIpFISkdGRiEEhwULtI8TEoTvkaUlfPedEBvUanj5ZVHtrn9/rRBVUCDEGl9f/TlbthRj7twRwtTFi1ovnoAAIXCdOwd37wphwdJSG62Sni7EoWXLROpUUhJ8/72IZMrPF/OqVCKypmVL4TmUmSnmU6tFpby9e7XRWqdPi7S/3Fx9IUrD6dNCKNMIFyWPLl2E0FFQoF1Lc1SpIgST8HCRopiZKe7f3LlCaJP8D2FrS6Gt5QObzlPphW96B75fVcCuCCe6mPVDwb8MO5Q8FDq9dYxd3wWRfff+Xg8OVbKpGpBM3D/eAGSlWRF/pCr1e1wy6Bu5IoDWI09SrV4yR//0r9Bebl90Zt8vDXnp5y3UaXcVc6siLG0LCR50li4Tokzur6w1JRKJRCKRSCQSSelIMcoIYWEixWzECEPvnt69Yf9+URkNhJDVsKGIbjKGmRmMGiV8qS5dEr5Nly/Dn3+KlCsLC+jRQ5ibf/SREKLOnRNjX3hBpA/a2IhUroYN//3+y0teQREJyVlsOnmdG3dz728SyQNj3z5o1QqcnIRhfevWEFki0CMrS0S1aSrz6eLjA+7u+hF4v/wiIuiMkZAgxMzCQvH46lUYMEBEvTk5QYMGIgJQr++3C6n/6x6WvtmVSe7jmFLjdabUeJ05rYYR/kkrctK1YsDhZQG84/YWk71eZ0qNscxrO5TTW2vq7cE7O4g+L+aw5r3GfDawPh0bVOHQd20fq0p/EuN4Nb6JX5ur7Pqu6X3P0ez5OCJXiLKPx9fWpX7PS5hb6UfGpV114MI+T5oOPEvTgXFErgyo0F7O7fHCuVom3k1vlntf5VlTIpFIJBKJRCKRlI4Uo4wQFiYqzg0bJirb3dT5nGJtLVLbVqzQ9jVVPQ/Eh/lffhEiQe3aIoqqZ0/hL6TLgAEicungQRF9pVSKSKzNm7XC14PYf3lJycqn+1d7eGPpMQYsPMDtjLyKTyJ5IKSnixTKt94SkXVJScL7y8pKv9/q1aJt2zaRnlmSwkL4+uv728Pw4eDlJTylUlLEa8zdvUSn1avxW3cMgE7jjzL38kJmn/uJod/tIDHKg697DNLz7vFpdoN5VxbyWcIiWr9ygtDRPfSiVyaNrEzmJVeqDDqC1ztbmTQ3hX8W+7L2/fb3dxGSh0rPqYfY+1MjMpNt7mt8g14XuLDfk5x0SyJX+NNsiKGJXuQKf6rWS8bDP5WgAee4EVeJqycMwz9N7SUr1RpH94oZsJV3TYlEIpFIJBKJRGIaKUaVYN8+8YF78GBo2lSk3y1bpt/npZfEh/G7d0UFvn79DOc5dEh4KXl4iJS7v/4SESXJyVC1qmF/c3MRdZKcLDyj9u0T0SavvipS6/r0KZ+oVJ79l4cb6bnkFQrn8qQ7ORQUleFiLvnPKG+kXGgojB0r2pcuNZznvfdg/vz7q8QXGSki7ezsxGu1SRMhqpaFhXURNYJuMnppONlpNhxZFmjQx8wMmg2OIz/LkuSLLgCc2+3FwV3WrAsvYHBXR97v7UvXZzJ5YdEm9v3SkNuXnCp+EZKHStXAFOp1j2fHV8HFbUqlCGsrKtD/r0dVYIbSXP9vjKVNEYFd49k2vzlZqTbUCjFUWCNXBhA8MA4Ap6pZ+LVO4shyw0glY3sBsKuUS/pNO4P+pVHeNSUSiUQikUgkEolppBhVgtBQ8UHfzU08HjrUMNWtTRu4fVsYlz/7rBAHShISIj70JycLYapLF9Hu5mY6aiU5WbtuQIBIg7p6VVRVu3ZNmJ8/iP2XhxqVbAmpVQkzBYxpVwtbS2XFJ5E8EMoTKXf5sqisqImI01SB1CU4WKTlzZ9f8T2EhAjz+xUrxFoVxdqhgDodLnPxYHWDc6oiBYeXBaK0KMLFKx2A8xHe1A5OJdfvEL2eTcWzyXl2qzbjE3wT52qZnNvjVfFNSB46PaYe4mBYPe5eF1URHD2yUFoUkXrZUa9fSqJj8XOvS7PnY4n4PojgwXEG5+IPV+X2RRd2fNWM6f6jme4/msSjHhxbW9egWp+xvQDUaXeFO9fsuXy8Srmup6JrSiQSiUQikUgkEuPIano65OTAqlWi8p3GAyovT4hKMTH6fV98ET75BHbtqtgaXbrABx8I7x7dVL01a0SKVUiI4Rh/fxGV8mMZhcrK2n+jRuXfp5u9FT8MC6JQpcbKXImTjXQjf1RoIuXmzhWRcjduCF+on3/WpsqFhYmIqMBAEZE3eTIcPy4imHT55BPhN/X22xXbw59/ivVnzYK4OOEZ9fPP0KxZ+edw8sjiSrT2Q39ilAdTfcaSn22O0lzNi4u24lA5BxuFDc6pgaRaFZB3MZCq3vnsVWvLGjq6Z5GVcn+pX5KHS+Vad2ny3Hn2/NSIqoEpmCnVNOx9gU2ftmLIVzuxdsgneoMfN866Etgl0WC8X+skXl/7F9Ub3jI4d2RFAHU7JDJs4bbitoJcc+a1HUbsDh/q94gvdS8AlX3v0OaVE4S92pMhX+2gZvPrqFUKTm70JfWKo4GJeUXXlEgkEolEIpFIJMaRkVE6rFsnIlDOnBGV66KjITYW2rY1jDQZP174P7VrV7E1hg8HT08YNEgYPxcUCF+n8eNFxTonJ/Fhf8ECERUFcOWKSPUzJlTd7/7LQyU7K6o4WEsh6jGgrEg5jU8YQLVq0L698Yi4+vVFNN+cORVb38VFjDl9WqSLNm4s0lMrYiZ+97odti5aM3zv4BvMSVjEZ5d+pF6PS1w6VA2AejQjNjmNU+cLmLj8DOcumlPdXBtRlX7TDjvXnIpdgOSR0f29w+Rna/+GDJq/C1vnXOa1HcaHdV5l38+NeG3FehyqZBuMVSigTvsr2Lnoe9YV5CqJXlebtq/F4OieXXy4eqcTPDiOSBNpcyX3AtB/zm7ajo5hzXsdeb/mWGY3HcGJjb7U665fue9+15RIJBKJRCKRSCSGyMgoHUJD2pfUgQAAIABJREFUYeRIqFFDv33cOCEWaVLtQFQ069y54mtYWcGOHfD++9CihTCnrlULPv0URo8WfRwc4PBh+OILEdXk7CwEhM8//3f7nztX+P1InmxKRsodOADnz8NnnwkREyAjQwhH8+cbPuczZ0JQEEyadH/ru7nBu++K11tqqs6JnTtZl/E9vGk4Ji/TgnO7a9B14hGDc1b2BQyav4tZQSNoMewMIQ2ssKhxm7xt9SlMt+ZySi4BCuHWnnjUnTtJDtRpe/X+Ni/5z5kR87veYxfPTOZf/774sa1zHs9/s9Pk+BZDY2kx1NCsHKDXtIPFv38WbzxUdNB8bbhqWXsBIXi1HxtN+7HRRucb9v32Cq0pkUgkEolEIpFIykZKEzps2WK8ffBgcZTGvn3a30eMEIcpKlUSQoKptLvq1UW6XVmUXOff7F/y+BIXBxs3wpAhIqquZKRcaCh07aof/ZaTI9L2Nm+G3r315/PzE3N9841ItysPU6aIqD5/fzH3woViHldXIXyZojBPyfVYV8JntsbGKZfmQ88Y7WdXKZeWw0+x9fPmtFgaww8ftOKZ3Wlkb2pOg+EFxOftI+GoB3+83p3Wo05Q2fc+XNglEolEIpFIJBKJRPJYIMUoieQxp7RIudxcIVyGhWl9wjQMHy6EqpJiFMBHH8GSJeXfQ3Y2PPecMN+3sRFRfRs2lOi0YAGN8/YRSkf++aYpe35sjFqloJJXOoHd4xmxOBIru0KTa7QfG82spi8TefIwNDjE3zsbsHCuM8MGWZOZ8gpOVTMJGX6aTuOjTM4hkUgkEolEIpFIJJLHH4W6IqYvTyHBwcHqqCj54VYi+dd06EBSYRKrw8c90m3MbDSSzNu2KJQqLG0LCeySwIC5Efz0Qh8SozwwM1dhYVWEb6skBszbhZOH1qtIrYbZQSMwtyrk/UN/6M37be8BJEZ5oLRQAWoq+96hcd8LdHj9OOZWRcX9bsRVIvyT1lzcXx21WoFX45v0mnaQmi1EGc2Uyw7MajyKBbe+QWlu+Pf38LIAIr4PIjnBCWuHfBr0usizH+3H1ikfgM1zWrB1XggjfttI434XACgqVDCpynimR/+Gaw0Rqnb5eBW2zA0h/nBV1GoFTh6ZNHz2Ih3HHcPWWXgw3UmyJ3xma2J3elOYZ46Hfwrd3ztCve7SiFsikUgkEolEInkUWGJJF7su1Las/ai38q9RKBRH1Wp1sLFz0sBcIpE8dYxetoF5Vxby7q5lXD5ehW0LmgMwYG4E864sZNrRxeRlWrDho7Z64y4eqE5Gsg0piU5cPuZuMO+AuRHMvbyQT2J/oe+svRxbW4cfh/QtNnJPjnfi656DqBaYzPTo35l5+hca9LrIwoH9iD/iYTBfSXZ914TwmW3oM3MfcxIWMWHbStKuOLKwf38K87V/rm1dctj0WUtURQqj88Qfrsp3fQZQs8U1Pji8hDkJixi7ej1mSjVJp9wAyEqz4utnBqG0UDH1wB/MPv8j7V8/Ttir3Yle71eu+yyRSCQSiUQikUgk98NDE6MUCoWXQqHYpVAoYhUKxWmFQvH2vfZKCoViu0KhOH/vp4vOmPcVCsUFhUJxVqFQdNdpb6pQKE7eO/eNQqFQ3Gu3UigUK++1H1YoFD4P6/okEsnjh3O1LAK6JHI91lWv3dYpnwa9LpF0srJe+5HlATToeYnArgkcWWG6OpqVXSG12yTx6rJwEiI9OLOtJgBb5rbAp9kNen14EDuXPKwdCmg/JobgwXGEz2xT6l5z0y3ZPDeEAXMiCOiSiNJChWuNDEb8tom0Kw5ErfIv7hvQORFzyyK9Nl02fNyGFkPP0PWdqOIqdS6eGfR8/xC12yQBsPuHJljZ5fP8t9txdM/G0qaIpgPO0XVSJOunt61QpUSJRCKRSCQSiUQiqQgPMzKqEJikVqsDgBDgTYVCEQhMBXaq1erawM57j7l37nmgHtAD+EGhUCjvzbUQeA2ofe/oca/9FSBNrVb7AV8Ccx/GhUkkkseTtKv2xG73wbPBLb32rFRrTvzti1strRF6frY5MRv8aDroLE0HnuX42jp60UjGcPHMwKvxLS4erAbA2YgaNO573qBfk37niT9clfxs0zZ98UeqUphrTsPeF/TarewLCOiSwNkInTKZCnjmg4NsndeCogL9PeZlmZMQ6WEwT0nORtSgUe+LmJW4xCb9zpN21ZFbF5xLHS+RSCQSiUQikUgk98tDE6PUavV1tVp97N7vGUAsUB3oC4Te6xYK9Lv3e19ghVqtzlOr1fHABaC5QqGoCjiq1eqDamF4FVZijGau1UBnTdSURCL5j7GxodDa8lHvAoBfhz/LVJ+xfPPMIHxbJ9FlYiQAa99vz1TvsUzzG0Nmig0D5u4uHnPib1/MrYqo2zGRet3jKSo0K454Kg0nj0yy06wByEqxwdE9y6CPo3sWapUZ2XesTM6TlWqNnWuOUR8pR/dsslJs9Nrq94zHzjWHg0vq6bXn3LFGrTLDsYrWC2vDjNZM9RnLZM832Da/2b31bHD0ML5XzbVIJBKJRCKRSCQSyX/BI/GMupc+1wQ4DLir1errIAQroMq9btWBKzrDrt5rq37v95LtemPUanUhcBfQz88R67+mUCiiFApF1O3btx/MRUkk/+ts3szff77xqHcBwCtL/mZOwiJmnPidQfN3YWkjDMb7f7abOYmLmLzvD3LuWHEnyb54zJHlgTTpdx6luRpzqyIaPnuh1FQ9DXev22PrkguAnWsO6TftDPqk37RDYaYqNg43hl2lXLJSbCgqNNTP02/aYueaY9Dea9pBti9oRmGuNuLKxjkXhZlKbx99Zu5nTsIiGvS6SFGh2b31cki/YXyvmmuRSCQSiUQikUgkkv+Chy5GKRQKe2ANMEGtVqeX1tVIm7qU9tLG6Deo1T+p1epgtVodXLlyZSNDJBLJ00y1wBS6TTrC6skdUKtFVbnzez2JWuXPdP/RTPcfTcwGP2K3+5CZYm1ynrSr9lyJqYJvy2sA1Gl/hej1hlUvjq+rjU+zG1jaFpqcy6f5dcytijgRrm8enpdlTuwOH+q0u2Iwpm7Hy7jVusu+3xoWt1nZFeLd9AYn/vYt9R7U6XCFmHBfVCrDvTpXz6CK3x3jAyUSiUQikUgkEonkX/JQxSiFQmGBEKKWqtXqtfeab95LvePeT425y1XAS2e4J3DtXrunkXa9MQqFwhxwAlIf/JU8/fj4gI0N2NuDuzuMHAmZmdpzO3bo91+8GNrc82dOSACFQozVPVauFOdHjABLS9H2/+3debzXU/7A8depq7SQCEWbJYSxhhr9ZvopZGiyJXsZg8JgBsk2xjZ208xYxvprQbaMfY8YI21kz8iURCJCi7Sd3x/ne939dsu37/d7b6/nPD6Pe7/n8znnvD/ffB6jt3Pen/XXh733hilT4O67S65t1Ajq1Svbv1j//lBUBJ99RrVKz7POOrDrrvDSS2WvefVV2GuvdL5ZM+jVC957r+T8mDHpXk45pWy/rl3TPZe/99Lx1qtX8h02bZrur/SYV19dffy1zqWX0umap/IdRY3tdsT7zJ/TmHee2pwJ92/Dhlt8w3njh3P2S/dw9kv3cP6E4ay3yXxeH7V1hb6LFxYx9d+bcsfRvWi7y2w67j0NgJ6DxjFtfCueuKwLC+Y2ZNG8tXj51h2ZeF9Hel30Spkxlv5QnyWLSo6GTRez76BxjBrcjfefb8eyJfX4asY6DD1uf9bbZD679Z1S6X3sf/6rvPC3Xcu0/frifzPu7u14fkgn5n2Zttt982lTvv543R+v6TbwDRbNa8i9v9ub72Y3Zsmi+kwatRXPXbcbv774X7jBWZIkSdLqksu36QXgDuD9GOP1pU49CvTL/N4PeKRU++GZN+RtRipUPj6zlW9eCKFzZsxjy/UpHutQ4IVMXSmtgsceSwmo11+HCRPgsstWrv8336T+xUffviXnBg1KbZ9+CptuCscfD0cdVXLtU0/BJpuU7Q+wYAGMGpUSR8XJneoUz/PttzBwIBx8MCxLO7YYOxb22Qd6906JrWnTYMcdYc894b//LRmjSRMYPjwl2VakdLxt25Z8h/Pnp/sDGDYsJeGGDat+rFxbvhyuvz59V6tk9Ghav/xBVmNanYoaLOd/TpzMs9fuzoR7O9L1+LdYd+OFZY6fH/c2E0pt1Rt1TjfOaTuQC7c5gX+e9wt26DWVAQ88/GMR8A23+IbTn3yAT9/ZkEt2PI4/bvtb3nxsSwY8+DCbd55VZv5z2pzC2Zuc+uPx4ctt6H7aJA644FUe+WNXBrcbyF/2Ppz1Np3HyQ8/RFHDZZXex+adZ9F2l9nl2j7j5IdH8dGrm3L5bv0Y3H4A/+jTmy27zuQXJ74JpG2Bpz/1AEt+qM+VXY7h/C1PYsxNu3D0P55ll4MrFmGXJEmSpGyp+tVO2bcncAzwdghhcqbtPOBK4P4QwvHADKAPQIzx3RDC/cB7pDfxnRJjLP7b2EBgKNAIeCpzQEp2jQghTCWtiDp8dd/UmmDTTWG//eCdd7I/dqNGcNhh0KdPza4fNQrWWw/OOgtuuw3OPrtm/erVgyOPhBNOgNmzU6Jr0CA49lg4/fSS6y67DCZNgj/9KSWgIM130EFw8cXwf/+3UrdXwcKF8OCDKfZjj4WJE6FTp582Zrb8+c/pz6NZs3xH8tNc9Gblf0i/e2xUhbYep0+ix+mTqhyr+2mT6H7apCr7V6bVtl9x4r2PVnl+g7bzGPL1X6s83/mYd+l8zLtVnt9v8LgKbSfd/0iFtvadZlfaXlrz1vPod/vT1V4jSZIkSdmWs2RUjPEVKq/pBNC9ij6XA5dX0j4R2L6S9kVkklnKnk8+gSefTKuKsm3BAhg5ErbccsXXQlpNdMQRcPjhcOaZadXWLrusuN+yZSm5tNlmadvhwoVpi94ll1S89rDD4Lzzyradfz5stRUMHgxbV9y1VWOjRqUte336pJVdw4cXTjLqggvyHYEkSZIkaU2Ql7fpqXY48MC0KqhrV/jlLysmaFakRYvUv/h4//2Sc9dem9rWWQdeeQVGjFjxeDNmwIsvphVOG28M3buveKtb8TxNmsAZZ8Cll0L9+vD112lbWqtWFfu0agVz5pRta9kSBgyAP/5xxXFWZ9iwtF2xfv10HyNHwpIlNetbuqZW6SOEkqTa44/D7run+91gg7Q1cGapd08OHZrmLt3/1FPTuf79yyakfvgBzj03bTds1Ag6dIBrrgE3vkqSJEmSfgqTUarSww+nuk8ffww33ZQSEpCKh5dPoCxZAmutVbZtzpzUv/joWFJ6h7POSm3Tp6dxP6hBqaERI9IYO+2UPh91FNxzT/XJnOJ5vv8+bYk7++xUj6p587R1b9asin1mzUqJtPLOOQeeeQbefHPFsVbmk09SMq24dlTv3rBoETzxRM36l66pVXwMGZIScyeckLb/HXlk2nY4Zw68+y40bJiSiXPnlozTpUvZMW64ofL5+vSB0aPTqrh589L3f+utZbc1lrHBBixq3qTG34ckSZIkac1kMkorrW3bisW8p02Ddu1Wbay//jUlOL7/vvprhw9PhcVbtkzHH/6Qki5P1eAFbiHA9tun4uRPPJFWDnXpAg88UPHa++9Pq67K22CDtLrqwgtrdm/ljRiRVmP16pXi33zzlIwqrk21st54A37/e7j33jTemWemlU1HHZUSfC1bwu23p9VPf/nLyo09ejQ8+2zaVrj99ikB2bkz3HUX3HgjTJ1aSadRo3h6+AmrdjOSJEmSpDWGySittL5904qcKVPSlq2JE+HOO1Mdp1Wx996poPitt1Z9zdix8NFHMH48TJ6cjnfeSSuBavpWuilT0pbA7bZLn6+8MvX929/Syp+5c1MyZ+xYuOiiysf4wx9SranSWw5ravjwNG5x/JMnp2TPE0/AV1+t3FjffAOHHpri7dYtrSybMaNiIfh69eCQQ+C551Zu/Oeegz32gDZtyrbvsQe0bp2SVZIkSZIkrQqTUVppJ5wAxx2XVvg0a5beCnf55dCzZ9nr1luvbG2i66+vesyzz4arr051iiozbFja1vazn5WsjGrZMq2oevzxVAOqMldfneZu0gT22SfFfdJJ6VzXrmnb3UMPpTpR7dql1UavvJLqI1Vm3XXTW/iqmq8qr72WVpOdckrZ+H/961S8feTImo8VI/Trl1YsDRqU2oprXNWkBtZrr5Wt5fXaaxX7zJlT+ViVjfejc8+l8yXVv71NkiRJkqQQ1/BqxJ06dYoTJ07MdxhSjV15Jdx2G0yalJJJkFZ9deyYtjFutlnZ6y+6KG25Gzs2FTC//faUcCuvf/+06umyy9JbA8eOhZdeqnhdu3apmH1xUu9H3brx6dJPefCxU7Nwl5IkSZK05mlAA3o06UGHBlWskKhFQgiTYoyVvj/elVFSLTJmTFqF9uCDJYkogK23Tomk8jWwli9PWwErq4FVnR49YNy4VHS9tPHjU9tee61S+JIkSZIkmYySaotZs1JdriFDYOedy54LAa69Nq1quueeVAz+88/ht7+F775Lhc5XRo8eKYF1yCHprXzLlqXtfEcdBQMHVr2NUZIkSZKkFTEZJdUSt90Gs2enOlmla3E1bQoDBqTC8iNGpDfntWgB226bklL//nd6E+DKGjUK/vd/Uy2wpk3h6KPh+OPh73/P/r1JkiRJktYc1oyqozWjxo9PiYtevfIdidYYRx/NB4v/w9O3HJXvSCRJkiSpVlpTakYV5ToYrX5ffglnnplWtkg5c9ddPD/3RmBpviORJEmSJBUwk1F10IYbwr/+le8oJEmSJEmSKrJmVA60bw/PP1+2behQ6Nq15HyjRmVrAJ16asXryuvWDW6/vWL79OmpoPXSzAKV/v3T5/HjS66ZOjW1SVlzxhl0PffBfEchSZIkSSpwrowqEI89lt5gtrqsvz5ccAE8++zqm0Ml1siaXZMn02Lpp/mOQpIkSZJU4FwZtYbo1w/eegteeinfkdR9xTW79tgj35FIkiRJklR4TEatIRo3hvPOg/PPz3ckdV9xza6NNsp3JJIkSZIkFR6TUTly4IGw3nolx8knV3/+ttuyH8NJJ8GMGfDUU9kfe3WoqpbW0KGp3tU115S9vnVrGDMGBgwoub5BA1hrrZLP++1XUlOruK19e7jyyprNPXYsNGkC8+ZVjHfnneGGGyrW7Cr2pz9VrN0FsHhxWknVunWaZ7PN4Pe/X/XvLV9e+fZn9H7rPga3G8B5m5/EX3v2YcbrG5e55ocFRQxqM5BbDutdof/FOx7HBVufwA8LSnYPjx2+HX/vdUil8301Yx3OWP90BrUZyKA2A7lg6xO49fBf88GLbSuM+8GYNgCMu6cjv2/xux/7FB/fzmry4/Wvj9qK63v0ZVDrk7lgqxO4vkdfXrljB2IsGXPauFbc2Ptgzmk7kMHtBnDbEb34fMr6K/2dSZIkSdKayJpROfLww2VrQg0dWrb4ePnzq0PDhnDhhekYOXL1zpUtldXSGjo01cC66qqUYFt33bLn//GPdEBKAE2dCnfdVXJ++vT085tvoKgIJk6EX/4Sdt0V9t67+rkhJY1GjUqF4Yu98w689x4ccUTliaoYYcSIFPewYbD77iXnrrgixTB+PLRqBR9/DC+/XP33Umi++w4OeO8qzt/jKooeeoWli+vx37GbUtRwWZnr3ny0A0UNlvHBi2359vPGNGu5sMz55UsDL9+yM3v/YUKN575i2j+oXxT5bnZj3vjnVtxx7P4cctUY9jjy/Uqvb7/b55z+1AOVnnvxhp0Z/fdOHHr1i2yz18c0bLqET9/ekBdv2IXOR79LUcNlTBvfkpsPPZD9zx/L8Xc9xrKl9Rhz0y78db8+nPniSFq0/67GsUuSJEnSmsiVUWuY446Db7+Ff/4z35H8NB07Qpcu8Je//PSxOnWC7baDyZNrdn2/fjB8eNm24cNh//1hgw0q7/Ovf8Fnn8Ff/wr33ptWQxWbMAEOOgg22SStnGrfHo49dpVuJW/+8x+gUWMaP7IR9epHGjRaxjZ7zWCT7eaUuW7CvR3Z87i32WS7OUx6YJsK4+z1u9d58YZdWPhtg5WOYd2NF/LLAZPpOWgcj13cleXLV67/99814Kkru9DnmhfZqfdU1l5nCSFA6x2+5Jhbn/kxsfbYn7qyW98p/HLAZNZeZwlNmv/A/uePpV2nz3n6qs4rHbckSZIkrWlMRtUCMcKiRWWPYkuXlm1fsqT6sYqK0mqhq65arSHnxKWXpmTU11//tHFeey2tbNpyy5pdf8wxKbk0Y0b6vHw53HNP9QmkYcPSm/X69k2fH3+85FznznD99XDTTfD225TZDlZbbLUV1K8Pw0/uznvPtWPhNw0rXDN35jpMfaU1ux76AbseOoUJ93WscE2bnWazZdeZvHjDrqscyw69pjL/y8Z88WHzleo3fXwrlv5Qn+1/9VGV1yxeWMS08a3YqfeHFc7tfOCH/GdM20p6SZIkSZJKMxlVIHr1Kluf6KCDSs69+mqqX1T6KK5HNHBg2fbjjlvxXEcckbaD1QbV1dLaaSfYZ59VT6y1aJG+sy5dUg2vAw+s2dxt2qRtfcVb/0aPTonA/fevfJ6FC+GBB+DII1P9qkMPTcmpYueeC+ecA3ffnVZpbbpp2fO1wbrrwit7/ZFWE/7LfWd054IOJ3Lbkb2Y90XjH6+ZcO82tNpuDi23+ZpdDvkPn09Zn5lvbVhhrP0Gv8a/bt2R+XMarVIszVouAGDh3LUrPf/xxJYMbj/gx+PSXfoBsODrtWmywffULyrJBg7Ztw+D2w/g7E1O4aNXN2Hh3LWJy+ux7sYLKn4HGy9g/leVzylJkiRJKmHNqBworlFUWv/+JTWHKjtf2XXljRlTdb/Sq2uGDi17rl69tBKoNqisllbp+7nkklR/aVUKfs+Zk7bFDRmSamgtWZIKnlc3d7F+/eDyy9MbCkeMKEk0Veaf/0wr0n71q/T5qKPSuF9+md68V78+nHJKOr7/Hu68E37zm3RfHSsuHipYHb98mRtbjuTBx05l9n+ac9eAfXnovF/Q7/anAZhwX0e6HJP+wWvWagFb7vkp40d2pPUOX5YZp9W2X7HdvtN4fkgnNt5q5Ze9fTurKQCNmy+q9Hy7TpXXjGrcfBELvmrEsqXhx4TUGc+k6y7a7jcsXx5otN4iQr3lfDe7CRtvNbdM/+9mN6HpBpXPKUmSJEkq4coo1WrbbAMHHwx//vOq9a9fP73Jbu210za5mjr4YPj0U3jxRXjooRVv0Zs/H9q2hZYtoU+flPiqrIh8o0YpKdW8eSqIXlttvNVcdj/iPT5/PxXRmjauFV9+1Jznh+zGhdv8lgu3+S0fT2rJ6w9tzbKloUL/noNfY+zw7X5MLK2Mtx7fgqYbLmSjDnNXfHEp7XefRVHDZbzz5BZVXtOwyVLa7/Y5kx/pUOHcGw93oMMvPlnpeCVJkiRpTePKKNV6F10EO+zw02otDR4MJ54IAwakxNSKNGmSttsddxy0a5e211Xm00/TNr6nnkoxFhsyJCWpTjst/b7TTrDHHml11d13pzfy7bzzqt9Prk2ZAk98chi/WD9l2ObObMrro7amXafPARh/b0e27vYxR9387I99liwq4ur/OYr3n2/P9j2nlRlvw82/ZeeDPuTlW3ek1bZf1SiGeV80ZvIjW/LMNXtw0J9fot5KptobN1vMvoPG8cDZ/0uM0LH7x6zVeAmfvduCxQtLlr31uujf/OPQA9mow9fsceR7LF9Wjxdv3IXpE1px5uh7V25SSZIkSVoDmYxSQevVK61eKrb33tC7d9lrNtssFRW/+eZVn2f//dNqpNtug9/9ruq5S7+FsF+/tGXwyiurHnfEiJLaVqWddhpcd13aLtmoUVqdNXVq2ja41VYwahRsvvmq30+urbMOjJvXkWtmPsDc1hvQqNkPbLvPNHpf/ApLFtVn8sMdOOrmZ1l344Vl+nU6bAoTRnaskIwC2PfscUy8v+Ib98o7d7MBEAMNGi+hzU5f0P/OJ+nY4+Mqr58+oSWD2gws03bqIw/RdpfZdD9tEs1azeeFv+/K3SfvQ4PGS9ig3Xf0uujfbLb7LAA27/wZAx58mCcu78ITl/2cECJbdPmM0598gA23+KYmX5ckSZIkrdFCrI2v7sqiTp06xYkTJ+Y7DKn2O+MM3lz0JmOuOHDF10qSJEmSKmhAA3o06UGHBhVLg9Q2IYRJMcZK9xG5MkpSdgwZwitzbwSW5jsSSZIkSVIBs4C5JEmSJEmScsZklKTsOPpoepw0LN9RSJIkSZIKnNv0JGXHzJk0XTo331FIkiRJkgqcK6MkSZIkSZKUMyajJEmSJEmSlDMmoyRJkiRJkpQz1oySlB1duvD5okn5jkKSJEmSVOBMRknKjiuu4LW5NwJL8x2JJEmSJKmAuU1PkiRJkiRJOWMySlJ2HHIIPY+9Ld9RSJIkSZIKnNv0JGXHV1+x9tIF+Y5CkiRJklTgXBklSZIkSZKknDEZJUmSJEmSpJwxGSVJkiRJkqScsWaUpOzo3p2Z34/LdxSSJEmSpAJnMkpSdlx4IRPn3ggszXckkiRJkqQC5jY9SZIkSZIk5YzJKEnZsd9+HNDnpnxHIUmSJEkqcG7Tk5Qd339P0dLF+Y5CkiRJklTgXBklSZIkSZKknDEZJUmSJEmSpJwxGSVJkiRJkqScsWaUpOw44ACmL/x3vqOQJEmSJBU4k1GSsuOss5g8txGwNN+RSJIkSZIKmNv0JEmSJEmSlDMmoyRlR7duHNhrSL6jkCRJkiQVOJNRkiRJkiRJypmcJaNCCHeGEL4IIbxTqm39EMJzIYQPMz+blzp3bghhagjhgxDCvqXadw0hvJ0597cQQsi0Nwwh3JdpHxdCaJ+re5MkSZIkSVLN5HJl1FCgZ7m2wcDoGGMHYHTmMyHC+afUAAARGElEQVSEbYHDge0yfW4KIdTP9LkZOBHokDmKxzwemBtj3BL4C3DVarsTSZIkSZIkrZKcJaNijC8DX5dr7g0My/w+DDiwVPu9McYfYozTgKnA7iGEVsC6McaxMcYIDC/Xp3isB4HuxaumJEmSJEmSVBiK8jz/xjHGWQAxxlkhhI0y7ZsCr5W6bmambUnm9/LtxX0+yYy1NITwLbABMKf8pCGEE0mrq2jbtm3WbkZaox12GFMXvpTvKCRJkiRJBS7fyaiqVLaiKVbTXl2fio0x3grcCtCpU6dKr5G0kk4+mXfmRmBpviORJEmSJBWwfL9Nb3Zm6x2Zn19k2mcCbUpd1xr4LNPeupL2Mn1CCEVAMypuC5S0uixcSNHCxfmOQpIkSZJU4PKdjHoU6Jf5vR/wSKn2wzNvyNuMVKh8fGZL37wQQudMPahjy/UpHutQ4IVMXSlJufCrX3FA35vyHYUkSZIkqcDlbJteCGEk0A1oEUKYCVwEXAncH0I4HpgB9AGIMb4bQrgfeI+05+eUGOOyzFADSW/mawQ8lTkA7gBGhBCmklZEHZ6D25IkSZIkSdJKyFkyKsZ4RBWnuldx/eXA5ZW0TwS2r6R9EZlkliRJkiRJkgpTvrfpSZIkSZIkaQ1iMkqSJEmSJEk5k7NtepLquP79mbJgdL6jkCRJkiQVOJNRkrKjf3+mzF1AeueAJEmSJEmVc5uepOyYM4e1v5qf7ygkSZIkSQXOZJSk7Dj0UHr2vz3fUUiSJEmSCpzJKEmSJEmSJOWMyShJkiRJkiTljMkoSZIkSZIk5YzJKEmSJEmSJOVMUb4DkFRHDBzIO/OfyXcUkiRJkqQCZzJKUnb07cvUuXOApfmORJIkSZJUwNymJyk7PvmEpjPn5jsKSZIkSVKBMxklKTuOOYYeA4flOwpJkiRJUoEzGSVJkiRJkqScMRklSZIkSZKknDEZJUmSJEmSpJwxGSVJkiRJkqScKcp3AJLqiDPPZPL8J/IdhSRJkiSpwJmMkpQdvXoxfe4MYGm+I5EkSZIkFTC36UnKjg8+YL0PZ+c7CkmSJElSgTMZJSk7TjqJbn8Yme8oJEmSJEkFzmSUJEmSJEmScsZklCRJkiRJknLGZJQkSZIkSZJyxmSUJEmSJEmScqYo3wFIqiMuuICJ8x7JdxSSJEmSpAJnMkpSdvTowcy5HwBL8x2JJEmSJKmAuU1PUnZMnkyLt2fmOwpJkiRJUoEzGSUpO844g67nPZjvKCRJkiRJBc5klCRJkiRJknLGZJQkSZIkSZJyxmSUJEmSJEmScsZklCRJkiRJknKmKN8BSKoj/vxnXvtuVL6jkCRJkiQVOJNRkrLj5z/n87lvAEvzHYkkSZIkqYC5TU9Sdrz6Ki3H/TffUUiSJEmSCpzJKEnZcd55dL7s0XxHIUmSJEkqcCajJEmSJEmSlDMmoyRJkiRJkpQzJqMkSZIkSZKUMyajJEmSJEmSlDNF+Q5AUh0xZAivfHdfvqOQJEmSJBU4V0ZJyo6ddmLOz1rnOwpJkiRJUoEzGSUpO55/ntZjpuQ7CkmSJElSgTMZJSk7LruMTtc9ne8oJEmSJEkFzmSUJEmSJEmScsZklCRJkiRJknLGZJQkSZIkSZJyxmSUJEmSJEmScqYo3wFIqiNuuYUx396d7ygkSZIkSQXOZJSk7Nh6a76ZuzGwNN+RSJIkSZIKmNv0JGXHY4/R/um38x2FJEmSJKnAmYySlB3XXcdON47OdxSSJEmSpAJX55JRIYSeIYQPQghTQwiD8x2PJEmSJEmSStSpZFQIoT5wI7AfsC1wRAhh2/xGJUmSJEmSpGJ1KhkF7A5MjTH+N8a4GLgX6J3nmCRJkiRJkpRR196mtynwSanPM4E9yl8UQjgROBGgbdu2uYlMWgNEIvUy/5MkSZIkrZzFLKYo1LVUTUV17Q5DJW2xQkOMtwK3AnTq1KnCeUmrYMQINoqL+U2zlvmORJIkSZJqpUCgUWiU7zBWu7qWjJoJtCn1uTXwWZ5ikdYsbdrQAGiQ7zgkSZIkSQWtru2lmQB0CCFsFkJoABwOPJrnmKQ1w333pUOSJEmSpGrUqZVRMcalIYRTgWeA+sCdMcZ38xyWtGa4+eb0s2/f/MYhSZIkSSpodSoZBRBjfBJ4Mt9xSJIkSZIkqaK6tk1PkiRJkiRJBcxklCRJkiRJknLGZJQkSZIkSZJyps7VjJKUJw8+mO8IJEmSJEm1gMkoSdnRokW+I5AkSZIk1QJu05OUHUOHpkOSJEmSpGqYjJKUHSajJEmSJEk1YDJKkiRJkiRJOWMySpIkSZIkSTljMkqSJEmSJEk5YzJKkiRJkiRJOVOU7wAk1RFPPpnvCCRJkiRJtYDJKEnZ0bhxviOQJEmSJNUCbtOTlB033ZQOSZIkSZKqYTJKUnbcf386JEmSJEmqhskoSZIkSZIk5YzJKEmSJEmSJOWMyShJkiRJkiTljMkoSZIkSZIk5UyIMeY7hrwKIXwJfJzvOKrRApiT7yCkNYDPmrT6+ZxJueGzJuWGz5pUvXYxxg0rO7HGJ6MKXQhhYoyxU77jkOo6nzVp9fM5k3LDZ03KDZ81adW5TU+SJEmSJEk5YzJKkiRJkiRJOWMyqvDdmu8ApDWEz5q0+vmcSbnhsyblhs+atIqsGSVJkiRJkqSccWWUJEmSJEmScsZklCRJkiRJknLGZFSBCiH0DCF8EEKYGkIYnO94pNoghHBnCOGLEMI7pdrWDyE8F0L4MPOzealz52aesQ9CCPuWat81hPB25tzfQggh094whHBfpn1cCKF9Lu9PKgQhhDYhhBdDCO+HEN4NIZyeafdZk7IohLB2CGF8COHNzLN2cabdZ03KshBC/RDCGyGExzOffc6k1cxkVAEKIdQHbgT2A7YFjgghbJvfqKRaYSjQs1zbYGB0jLEDMDrzmcwzdTiwXabPTZlnD+Bm4ESgQ+YoHvN4YG6McUvgL8BVq+1OpMK1FDgzxtgR6AycknmefNak7PoB2CvGuCOwE9AzhNAZnzVpdTgdeL/UZ58zaTUzGVWYdgemxhj/G2NcDNwL9M5zTFLBizG+DHxdrrk3MCzz+zDgwFLt98YYf4gxTgOmAruHEFoB68YYx8b0hofh5foUj/Ug0L34v3pJa4oY46wY4+uZ3+eR/uV9U3zWpKyKyfzMx7UyR8RnTcqqEEJrYH/g9lLNPmfSamYyqjBtCnxS6vPMTJuklbdxjHEWpL9EAxtl2qt6zjbN/F6+vUyfGONS4Ftgg9UWuVTgMlsNdgbG4bMmZV1m69Bk4AvguRijz5qUfUOAQcDyUm0+Z9JqZjKqMFWWKY85j0Kq26p6zqp7/nw2pYwQQlNgFHBGjPG76i6tpM1nTaqBGOOyGONOQGvS6ovtq7ncZ01aSSGEA4AvYoyTatqlkjafM2kVmIwqTDOBNqU+twY+y1MsUm03O7N0mszPLzLtVT1nMzO/l28v0yeEUAQ0o+K2QKnOCyGsRUpE3R1jfCjT7LMmrSYxxm+AMaQaND5rUvbsCfw6hDCdVBplrxDCXficSaudyajCNAHoEELYLITQgFQk79E8xyTVVo8C/TK/9wMeKdV+eOYNJ5uRCk2OzyzFnhdC6JzZz39suT7FYx0KvJCpCyCtMTLPxR3A+zHG60ud8lmTsiiEsGEIYb3M742AHsAUfNakrIkxnhtjbB1jbE/6O9cLMcaj8TmTVruifAegimKMS0MIpwLPAPWBO2OM7+Y5LKnghRBGAt2AFiGEmcBFwJXA/SGE44EZQB+AGOO7IYT7gfdIbwc7Jca4LDPUQNKb+RoBT2UOSH8BHxFCmEr6L1qH5+C2pEKzJ3AM8Hamlg3AefisSdnWChiWeVNXPeD+GOPjIYSx+KxJq5v/nyatZsGkrCRJkiRJknLFbXqSJEmSJEnKGZNRkiRJkiRJyhmTUZIkSZIkScoZk1GSJEmSJEnKGZNRkiRJkiRJyhmTUZIkSasghDA0hPB4vuMoZCGE6SGEs/IdhyRJKiwmoyRJUq2SSQLFzLEkhPDfEMK1IYQm+Y5N2WXCT5Kkuqko3wFIkiStgueBY4C1gP8BbgeaAAPzGVShCCGsFWNcksf5G8QYF+drfkmSVNhcGSVJkmqjH2KMn8cYP4kx3gPcDRwIEJJBIYSPQgjfhxDeDiEcXbpzCOFnIYTnM+e/zqzAaVbq/NAQwuMhhAtCCLNDCPNDCP8XQmhUVUA1mbeSPiucZ0XjhhDaZ1aJHRFCeCGE8D1wUhXzTQ8h/DEz77wQwichhL4hhPVCCPdm5v8whLBPqT71Qwh3hBCmZeb/MBNPvVLXFN/HOSGEmcDMKuY/OoTwXQjh15nP24YQnsjE8kUIYWQIoWXm3J+AfsD+pVbCdavu+5QkSbWDyShJklQXfE9aJQVwGXA8cAqwLXAFcEsIYX+AEEJj4GlgPrA7cBDwc+DOcmP+EtgR6A4cAuwDXFVNDNXOW40VzVPTca8Abspc83A1850BjAd2Ae4HhgH3AE8COwEvA3eFENbOXF8P+BQ4DOgInA+cBxxXyX3sAPTM3EsZIYTTgL8DB8QYHw0htMrM9Q7pz6EH0BR4NJPoujYT3/NAq8zxajX3JUmSaokQY8x3DJIkSTUWQhgKtIgxHpD5vDspkTIa+A0wB9gnxvivUn2GAFvFGH8VQjiBlOhoHWOclznfDXgR6BBjnJqZ48DMNfMz1xwN3AGsH2NcUDqOTL2qauet5l6qnCdz2Yrupz0wDTgrxnjdCr676cDYGOMRmc9NgXnA32OMp2XaisfbLcY4sYpxrgQ6xRh7lLqP/TP38UO5+W4A1iWt1uoZY3wjc+4SYM8YY/dS1zcHvgb2iDGOL/9nLUmS6gZrRkmSpNqoZwhhPunfZdYCHgF+R1oVtDbwdAih9H9xWwuYnvm9I/BWcSIq41Vgeab/1EzbW8UJooyxQANgC+CtcvHUZN6qVDdPw5UYt9LEUWXzFf8SY5wfQlgIvF3q/OzMz42KG0IIA4DfAu2ARpn5Py437julE1GlnA6sQ0pufViqfVfgF5k/x/K2IK3ekiRJdZDJKEmSVBu9DJwILAE+Ky7WHULYLHO+FzCjXJ/igt4BqGpp+KouGS8ufVDdvKt73AU1HLN8v1iurfg7qAcQQugLDAHOIiXtviNtGTyohvO/Qtq6dwRwSan2esATmXHLm11JmyRJqiNMRkmSpNpoYYxxaiXt7wE/AO1ijC9U0fc94DchhHVKrY76OSk58n6p634WQmgSYyxOsnQGFgMfreK8Valunno/Ydxs6QqMizHeUNwQQthiJfpPAq4HngshxBjjpZn210l1qD6u5s1/i4H6qxCzJEkqYCajJElSnRFjnBdCuBa4NoQQSCuompISPMtjjLeS3rx3MTA8hPBHoDlwC/BQuQRXEXBnprbRJsCVwG2lkkYrO29Vqp3nJ4ybLf8B+ocQ9iNtYTycVKx8bk0HiDFOyLyh79lMQuoy4EbgBOC+EMJVwJfA5qQE1ZmZROF0YL8QwtbAV8C31SSuJElSLWEySpIk1TUXkrZ5nQXcTNpWNhm4GiDGuDCEsC9p69l4YBGp5tTp5cZ5CXiXVNi8MTAKGLSq81ZjRfOs6rjZcgvpLXv3kLY4jgKuIxWLr7FMQfLihBQxxstCCHuS3gL4NKk21gzgWdJqMIDbgG6kelhNgf8FxvzE+5EkSXnm2/QkSZLKydVb3HxbnCRJWhPVW/ElkiRJkiRJUnaYjJIkSZIkSVLOuE1PkiRJkiRJOePKKEmSJEmSJOWMyShJkiRJkiTljMkoSZIkSZIk5YzJKEmSJEmSJOWMyShJkiRJkiTlzP8D1lPM+2RgPDoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "\n",
    "# Add horizontal and vertical lines to mark the median values\n",
    "avg_people_per_market = df_madrid_residential['People per Market'].mean()\n",
    "max_people_per_market = df_madrid_residential['People per Market'].max()\n",
    "avg_income = df_madrid_residential['Income'].mean()\n",
    "\n",
    "plt.axhline(y=avg_income, color='r', linestyle='--')\n",
    "plt.axvline(x=avg_people_per_market, color='r', linestyle='--')\n",
    "\n",
    "# Highlight the optimal quadrant\n",
    "plt.fill_between(x=np.arange(avg_people_per_market, max_people_per_market), y1=0, y2=avg_income, color='lightgreen')\n",
    "\n",
    "# Draw and label the neighbourhood points\n",
    "scatter_text('People per Market', 'Income', 'Neighbourhood',\n",
    "             data = df_madrid_residential, \n",
    "             title = 'Madrid residential neighbourhoods', \n",
    "             xlabel = 'People per market',\n",
    "             ylabel = 'Household income (€)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Results and discussion <a class=\"anchor\" id=\"results-and-discussion\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the above diagram, the highlighted area in green represents the most adequate areas to open a low-cost supermarket since their household income is below average and also their ratio of people per market is above average.\n",
    "\n",
    "In particular, we can clearly see that Villaverde Alto looks the optimal neighbourhood since the household income is clearly under average (around 26K €) and there are very few supermarkets for the amount of population in the area.\n",
    "\n",
    "However it would also be recommended to consider other similar areas such as Portazgo that is also located on the bottom-right corner of the plot.\n",
    "\n",
    "It is also interesting to mention that even though the low amount of existing supermarkets in Mirasierra does clearly not cover the demand of the neighbourhood, it would be a convenient place for a high class market since the household income there is at the very top."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion <a class=\"anchor\" id=\"conclusion\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The neighbourhoods of Madrid were analysed with the purpose of finding the ideal location for a new low-cost supermarket. We applied machine learning techniques such as k-means clustering to find different clusters so that we could focus in only one type of neighbourhood (residential). Further data such as population and market venues have been used to reduce the number of potential areas.\n",
    "\n",
    "This project could be improved by only taking certain venue categories into consideration when performing the clustering segmentation. We could for example identify the key types of venue that define a residential area such as schools, pharmacies, small markets and corner shops, and the types of venue that discard a residential area such as night clubs, theaters and so on. Another improvement could be achieved by only handling certain groups of ages and social classes that would normally shop in a supermarket.\n",
    "\n",
    "Although this project focuses particularly in a low-cost supermarket, it could easily be amended for any type of business and city, as long as the corresponding data are available to be included in the analysis."
   ]
  }
 ],
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