{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "1128bd3b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import time\n",
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "8c207d76",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Scraping https://krisha.kz/prodazha/kvartiry/almaty/?page=1 ...\n",
      "Scraping https://krisha.kz/prodazha/kvartiry/almaty/?page=2 ...\n",
      "Scraping https://krisha.kz/prodazha/kvartiry/almaty/?page=3 ...\n",
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      "Scraping https://krisha.kz/prodazha/kvartiry/almaty/?page=93 ...\n",
      "Scraping https://krisha.kz/prodazha/kvartiry/almaty/?page=94 ...\n",
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      "Scraping https://krisha.kz/prodazha/kvartiry/almaty/?page=98 ...\n",
      "Scraping https://krisha.kz/prodazha/kvartiry/almaty/?page=99 ...\n",
      "Scraping https://krisha.kz/prodazha/kvartiry/almaty/?page=100 ...\n",
      "Scraping https://krisha.kz/prodazha/kvartiry/almaty/?page=101 ...\n",
      "Scraping https://krisha.kz/prodazha/kvartiry/almaty/?page=102 ...\n",
      "Scraping https://krisha.kz/prodazha/kvartiry/almaty/?page=103 ...\n",
      "Scraping https://krisha.kz/prodazha/kvartiry/almaty/?page=104 ...\n",
      "Scraping https://krisha.kz/prodazha/kvartiry/almaty/?page=105 ...\n",
      "Scraping https://krisha.kz/prodazha/kvartiry/almaty/?page=106 ...\n",
      "Scraping https://krisha.kz/prodazha/kvartiry/almaty/?page=107 ...\n",
      "Scraping https://krisha.kz/prodazha/kvartiry/almaty/?page=108 ...\n",
      "Scraping https://krisha.kz/prodazha/kvartiry/almaty/?page=109 ...\n",
      "Scraping https://krisha.kz/prodazha/kvartiry/almaty/?page=110 ...\n",
      "✅ Scraping finished! 2203 listings saved to krisha_raw.csv\n"
     ]
    }
   ],
   "source": [
    "HEADERS = {\n",
    "    \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 \"\n",
    "                  \"(KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36\"\n",
    "}\n",
    "\n",
    "BASE = \"https://krisha.kz/prodazha/kvartiry/almaty/\"\n",
    "all_rows = []\n",
    "\n",
    "for page in range(1, 111):\n",
    "    url = f\"{BASE}?page={page}\"\n",
    "    print(f\"Scraping {url} ...\")\n",
    "    resp = requests.get(url, headers=HEADERS)\n",
    "    if resp.status_code != 200:\n",
    "        break\n",
    "\n",
    "    soup = BeautifulSoup(resp.text, \"html.parser\")\n",
    "\n",
    "    cards = soup.select(\"div.a-card__inc\")\n",
    "\n",
    "    if not cards:\n",
    "        print(f\"No listings on page {page}\")\n",
    "        break\n",
    "\n",
    "    for card in cards:\n",
    "        title = card.select_one(\"a.a-card__title\")\n",
    "        price = card.select_one(\"div.a-card__price\")\n",
    "        address = card.select_one(\"div.a-card__subtitle\")\n",
    "        description = card.select_one(\"div.a-card__text-preview\")\n",
    "\n",
    "        all_rows.append({\n",
    "            \"title\": title.text.strip() if title else None,\n",
    "            \"price\": price.text.strip() if price else None,\n",
    "            \"address\": address.text.strip() if address else None,\n",
    "            \"description\": description.text.strip() if description else None,\n",
    "        })\n",
    "\n",
    "    time.sleep(1)\n",
    "\n",
    "df = pd.DataFrame(all_rows)\n",
    "df.to_csv(\"krisha_raw.csv\", index=False, encoding=\"utf-8-sig\")\n",
    "print(f\"✅ Scraping finished! {len(df)} listings saved to krisha_raw.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1bc6d1fc-f932-45b9-b033-f583e66e5c66",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2203, 4)\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv(\"krisha_raw.csv\")\n",
    "print(df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "67cb535d-c7f7-4edf-a60b-00af90c80209",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['price_clean'] = (\n",
    "    df['price']\n",
    "    .astype(str)\n",
    "    .str.replace(r'[^\\d]', '', regex=True)\n",
    "    .replace('', None)\n",
    "    .astype(float)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a6b93fd8-e7a9-4bc7-8838-5c0840b562b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def extract_info(title):\n",
    "    if pd.isna(title):\n",
    "        return pd.Series([None, None, None, None])\n",
    "    rooms = re.search(r'(\\d+)-комнат', title)\n",
    "    area = re.search(r'(\\d+)\\s*м²', title)\n",
    "    floors = re.search(r'(\\d+)[/\\\\](\\d+)', title)\n",
    "    return pd.Series([\n",
    "        int(rooms.group(1)) if rooms else None,\n",
    "        float(area.group(1)) if area else None,\n",
    "        int(floors.group(1)) if floors else None,\n",
    "        int(floors.group(2)) if floors else None\n",
    "    ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "59532721-916c-4067-a3a2-f4bd29f3d996",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[['rooms', 'area_m2', 'floor', 'total_floors']] = df['title'].apply(extract_info)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4b7448eb-c277-4dfe-9dbb-e0de3f4adc57",
   "metadata": {},
   "outputs": [],
   "source": [
    "def split_address(addr):\n",
    "    if pd.isna(addr):\n",
    "        return pd.Series([None, None])\n",
    "    parts = [p.strip() for p in addr.split(',')]\n",
    "    return pd.Series([\n",
    "        parts[0] if len(parts) > 0 else None,\n",
    "        parts[1] if len(parts) > 1 else None\n",
    "    ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9c08dd65-b7d6-4f5f-b73c-6a5bb8ec9c88",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[['district', 'street']] = df['address'].apply(split_address)\n",
    "\n",
    "df['year_built'] = df['description'].str.extract(r'(\\d{4})\\s*г\\.п')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "df4526e5-57c4-4599-9a09-0c6f75b1c3de",
   "metadata": {},
   "outputs": [],
   "source": [
    "def shorten_desc(text):\n",
    "    if pd.isna(text):\n",
    "        return None\n",
    "    text = re.sub(r'ЦЕНА ОКОНЧАТЕЛЬНАЯ!?', '', text, flags=re.IGNORECASE)\n",
    "    text = re.sub(r'\\s+', ' ', text).strip()\n",
    "    short = ' '.join(text.split()[:10])\n",
    "    return short"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3abd8a0f-c75b-4fc0-8806-5c07f1b2a3ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['description_clean'] = df['description'].apply(shorten_desc)\n",
    "\n",
    "df['price_per_m2'] = (df['price_clean'] / df['area_m2']).round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "80f5b8c1-fa4a-457d-9709-98930d148be1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop(columns=['title', 'price', 'address', 'description'])\n",
    "\n",
    "df = df.drop_duplicates(subset=['district', 'street', 'area_m2', 'price_clean'])\n",
    "df = df.dropna(subset=['price_clean', 'area_m2'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "7eecd4b6-3af7-4f3d-a786-88ca369461f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.rename(columns={\n",
    "    'price_clean': 'price_tenge',\n",
    "    'description_clean': 'description',\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "d9e474c4",
   "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>price_tenge</th>\n",
       "      <th>rooms</th>\n",
       "      <th>area_m2</th>\n",
       "      <th>floor</th>\n",
       "      <th>total_floors</th>\n",
       "      <th>district</th>\n",
       "      <th>street</th>\n",
       "      <th>year_built</th>\n",
       "      <th>description</th>\n",
       "      <th>price_per_m2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>59000000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>Наурызбайский р-н</td>\n",
       "      <td>Абишева 3</td>\n",
       "      <td>2020</td>\n",
       "      <td>жил. комплекс Gulder, монолитный дом, 2020 г.п...</td>\n",
       "      <td>694117.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>19000000.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Жетысуский р-н</td>\n",
       "      <td>Бурундайская 91</td>\n",
       "      <td>2025</td>\n",
       "      <td>жил. комплекс Kenesary, монолитный дом, 2025 г...</td>\n",
       "      <td>475000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60000000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Медеуский р-н</td>\n",
       "      <td>Айтеке би 28</td>\n",
       "      <td>1987</td>\n",
       "      <td>кирпичный дом, 1987 г.п., состояние: не новый,...</td>\n",
       "      <td>967741.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>83300000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Бостандыкский р-н</td>\n",
       "      <td>16 улица 5к2</td>\n",
       "      <td>2023</td>\n",
       "      <td>жил. комплекс Famous Town, монолитный дом, 202...</td>\n",
       "      <td>16660000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>86000000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>Медеуский р-н</td>\n",
       "      <td>Бегалина 7 — Толе би</td>\n",
       "      <td>2020</td>\n",
       "      <td>жил. комплекс Medeu Park, монолитный дом, 2020...</td>\n",
       "      <td>28666666.67</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   price_tenge  rooms  area_m2  floor  total_floors           district  \\\n",
       "0   59000000.0    3.0     85.0    8.0          16.0  Наурызбайский р-н   \n",
       "1   19000000.0    1.0     40.0    4.0           9.0     Жетысуский р-н   \n",
       "2   60000000.0    3.0     62.0    4.0           5.0      Медеуский р-н   \n",
       "3   83300000.0    3.0      5.0    2.0           3.0  Бостандыкский р-н   \n",
       "4   86000000.0    3.0      3.0    6.0          12.0      Медеуский р-н   \n",
       "\n",
       "                 street year_built  \\\n",
       "0             Абишева 3       2020   \n",
       "1       Бурундайская 91       2025   \n",
       "2          Айтеке би 28       1987   \n",
       "3          16 улица 5к2       2023   \n",
       "4  Бегалина 7 — Толе би       2020   \n",
       "\n",
       "                                         description  price_per_m2  \n",
       "0  жил. комплекс Gulder, монолитный дом, 2020 г.п...     694117.65  \n",
       "1  жил. комплекс Kenesary, монолитный дом, 2025 г...     475000.00  \n",
       "2  кирпичный дом, 1987 г.п., состояние: не новый,...     967741.94  \n",
       "3  жил. комплекс Famous Town, монолитный дом, 202...   16660000.00  \n",
       "4  жил. комплекс Medeu Park, монолитный дом, 2020...   28666666.67  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.to_csv(\"krisha_clean_final.csv\", index=False, encoding='utf-8-sig')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "fcbe2c1d-40a8-457d-b19a-c949e94ffeed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>price_tenge</th>\n",
       "      <th>rooms</th>\n",
       "      <th>area_m2</th>\n",
       "      <th>floor</th>\n",
       "      <th>total_floors</th>\n",
       "      <th>price_per_m2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.168000e+03</td>\n",
       "      <td>2168.000000</td>\n",
       "      <td>2168.000000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>2.168000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.973846e+07</td>\n",
       "      <td>2.328875</td>\n",
       "      <td>47.119004</td>\n",
       "      <td>5.437624</td>\n",
       "      <td>8.921782</td>\n",
       "      <td>7.195427e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>5.352381e+07</td>\n",
       "      <td>0.943369</td>\n",
       "      <td>48.944613</td>\n",
       "      <td>3.953114</td>\n",
       "      <td>4.630992</td>\n",
       "      <td>1.599337e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.500000e+06</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.528084e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.300000e+07</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>7.081368e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.500000e+07</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1.000000e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.700000e+07</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>7.381250e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>6.350000e+08</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>460.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>2.080000e+08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        price_tenge        rooms      area_m2        floor  total_floors  \\\n",
       "count  2.168000e+03  2168.000000  2168.000000  2020.000000   2020.000000   \n",
       "mean   5.973846e+07     2.328875    47.119004     5.437624      8.921782   \n",
       "std    5.352381e+07     0.943369    48.944613     3.953114      4.630992   \n",
       "min    4.500000e+06     1.000000     1.000000     1.000000      1.000000   \n",
       "25%    3.300000e+07     2.000000     6.000000     2.000000      5.000000   \n",
       "50%    4.500000e+07     2.000000    43.000000     4.000000      9.000000   \n",
       "75%    6.700000e+07     3.000000    70.000000     8.000000     12.000000   \n",
       "max    6.350000e+08    11.000000   460.000000    23.000000     33.000000   \n",
       "\n",
       "       price_per_m2  \n",
       "count  2.168000e+03  \n",
       "mean   7.195427e+06  \n",
       "std    1.599337e+07  \n",
       "min    1.528084e+05  \n",
       "25%    7.081368e+05  \n",
       "50%    1.000000e+06  \n",
       "75%    7.381250e+06  \n",
       "max    2.080000e+08  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "de227663-827e-4f19-bff7-8de55ec5f20d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_eda = df[\n",
    "    (df[\"area_m2\"] >= 15) &\n",
    "    (df[\"area_m2\"] <= 300) &\n",
    "    (df[\"price_per_m2\"] >= 300_000) &\n",
    "    (df[\"price_per_m2\"] <= 2_000_000)\n",
    "]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "009cc3a7-914c-4627-83d1-78354978e7a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>price_tenge</th>\n",
       "      <th>rooms</th>\n",
       "      <th>area_m2</th>\n",
       "      <th>floor</th>\n",
       "      <th>total_floors</th>\n",
       "      <th>price_per_m2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.300000e+03</td>\n",
       "      <td>1300.000000</td>\n",
       "      <td>1300.000000</td>\n",
       "      <td>1227.000000</td>\n",
       "      <td>1227.000000</td>\n",
       "      <td>1.300000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.988780e+07</td>\n",
       "      <td>2.362308</td>\n",
       "      <td>72.196154</td>\n",
       "      <td>5.477588</td>\n",
       "      <td>9.065200</td>\n",
       "      <td>8.023307e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4.843842e+07</td>\n",
       "      <td>0.933655</td>\n",
       "      <td>39.016972</td>\n",
       "      <td>3.978340</td>\n",
       "      <td>4.688919</td>\n",
       "      <td>2.718023e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.142857e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.300000e+07</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>6.169326e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.585000e+07</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>7.524510e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.957500e+07</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>86.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>9.194268e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5.377000e+08</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>300.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>1.930693e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        price_tenge        rooms      area_m2        floor  total_floors  \\\n",
       "count  1.300000e+03  1300.000000  1300.000000  1227.000000   1227.000000   \n",
       "mean   5.988780e+07     2.362308    72.196154     5.477588      9.065200   \n",
       "std    4.843842e+07     0.933655    39.016972     3.978340      4.688919   \n",
       "min    1.000000e+07     1.000000    16.000000     1.000000      1.000000   \n",
       "25%    3.300000e+07     2.000000    47.000000     2.000000      5.000000   \n",
       "50%    4.585000e+07     2.000000    64.000000     5.000000      9.000000   \n",
       "75%    6.957500e+07     3.000000    86.000000     8.000000     12.000000   \n",
       "max    5.377000e+08     7.000000   300.000000    21.000000     33.000000   \n",
       "\n",
       "       price_per_m2  \n",
       "count  1.300000e+03  \n",
       "mean   8.023307e+05  \n",
       "std    2.718023e+05  \n",
       "min    3.142857e+05  \n",
       "25%    6.169326e+05  \n",
       "50%    7.524510e+05  \n",
       "75%    9.194268e+05  \n",
       "max    1.930693e+06  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eda.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "3e01d344-3d84-439b-8143-77f4929f05aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>district</th>\n",
       "      <th>area_m2</th>\n",
       "      <th>rooms</th>\n",
       "      <th>price_tenge</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>837</th>\n",
       "      <td>Бостандыкский р-н</td>\n",
       "      <td>283.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>537700000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1885</th>\n",
       "      <td>Бостандыкский р-н</td>\n",
       "      <td>300.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>380000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>629</th>\n",
       "      <td>Медеуский р-н</td>\n",
       "      <td>210.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>380000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2151</th>\n",
       "      <td>Бостандыкский р-н</td>\n",
       "      <td>184.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>350000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>Бостандыкский р-н</td>\n",
       "      <td>179.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>340100000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1201</th>\n",
       "      <td>Медеуский р-н</td>\n",
       "      <td>250.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>340000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>Медеуский р-н</td>\n",
       "      <td>300.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>330000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Бостандыкский р-н</td>\n",
       "      <td>171.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>324900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>Медеуский р-н</td>\n",
       "      <td>240.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>295000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1646</th>\n",
       "      <td>Бостандыкский р-н</td>\n",
       "      <td>230.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>290000000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               district  area_m2  rooms  price_tenge\n",
       "837   Бостандыкский р-н    283.0    6.0  537700000.0\n",
       "1885  Бостандыкский р-н    300.0    6.0  380000000.0\n",
       "629       Медеуский р-н    210.0    4.0  380000000.0\n",
       "2151  Бостандыкский р-н    184.0    3.0  350000000.0\n",
       "136   Бостандыкский р-н    179.0    4.0  340100000.0\n",
       "1201      Медеуский р-н    250.0    5.0  340000000.0\n",
       "468       Медеуский р-н    300.0    4.0  330000000.0\n",
       "15    Бостандыкский р-н    171.0    4.0  324900000.0\n",
       "987       Медеуский р-н    240.0    7.0  295000000.0\n",
       "1646  Бостандыкский р-н    230.0    5.0  290000000.0"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top10_apartments = (\n",
    "    df_eda.sort_values(\"price_tenge\", ascending=False)\n",
    "    .head(10)[[\"district\",\"area_m2\",\"rooms\",\"price_tenge\"]]\n",
    ")\n",
    "\n",
    "top10_apartments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "def1abae-b016-45c0-834e-ac57fcb20cd0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/t0/wrlt9dys2m59fs2jsn0_bb280000gn/T/ipykernel_55910/4112127925.py:4: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
      "  df_eda.groupby(\"area_bin\")\n"
     ]
    },
    {
     "data": {
      "image/png": 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MmjULFxcXunfvfsftbH3vu7q6ZjgSndWf0Zx4/9/Jv3kdb3eBjKyeqJaZFi1acOzYMRYtWsTKlSuZPn06n332GVOmTOHZZ5+95/2K2KpQl9mOHTve9uMcgOTkZN5++21++uknrl27RlhYGB988AGtWrUCYMeOHZjNZsaNG2f9x3DYsGF07dqV1NTUdB+jScH30EMPMWDAADZv3sycOXNuu17FihX5448/aNas2R1/OZUrVw64cZTo1o8QL168eNejevv27ePw4cN899139OrVy7o8u88yXrt2LZcvX2bBggXp5riNjIzMdP1z585x/fr1dEdnDx8+DGA9ceiXX36hQoUKLFiwIN0v4Lud9HOrnLqylZ+fH15eXpjNZtq2bZtt+72XvJl9tHv48GE8PDzu6Q+iihUrYrFYiIiIyHCS3a3rAPj7+/+r53/kyBFat25tvR0fH8/58+fp1KlTuvV69erF0KFDOX/+PLNnz6Zz5853/VQiO977Wf0ZtfX9fyt/f3/c3NzSzWxxU2bLMuPn54eHhweHDh3KcN/BgwdxcHCwftpw8/t27dq1dH9o3/wEKLMMhmGke2/+82cVoFixYvTt25e+ffsSHx9PixYtGD16tMqs5KpCPczgbgYPHsymTZv4+eef2bt3L4899hgdOnSw/hKpV68eDg4OzJgxA7PZTExMDD/88ANt27ZVkS2EPD09mTx5MqNHj6ZLly63Xa979+6YzWbefffdDPelpaVx7do1AOv76PPPP093FC8rk+vfPBp463aGYTBp0qQsPpusyexxUlJS+OqrrzJdPy0tja+//jrdul9//TV+fn7W8Z+Z7XPLli1s2rQpy7luluWb38vs4ujoyCOPPML8+fPZv39/hvv/+fF+VhUpUuSOH0lnZtOmTek+ATp9+jSLFi2iXbt293SkvVu3bjg4ODB27NgMRxRvvhbt27fH29ub8ePHZzptVlaf/9SpU9NtP3nyZNLS0jIcXOjRowcmk4mXX36Z48ePWz++v5PseO9n9WfU1vf/P3O2bduWhQsXcu7cOevyo0ePsmzZsizldHR0pF27dixatCjdEI0LFy4we/Zs7rvvPry9vYH//SFy6/Rt169f57vvvst03+fOnbMO8YAbs4x8//331K5d23pU/vLly+m28fT0pFKlSiQnJ2cpv0h2KdRHZu/k1KlTzJgxg1OnTlkH5w8bNozly5czY8YMxo8fT3BwMCtXrqR79+4MGDAAs9lMkyZNrCcxSOFzu4+eb9WyZUsGDBjAhAkT2L17N+3atcPZ2ZkjR44wb948Jk2axKOPPmqd63XChAk88MADdOrUiV27drFs2TJKlChxx8eoWrUqFStWZNiwYZw9exZvb2/mz5//r8dp/lPTpk0pWrQovXv35qWXXsJkMvHDDz/c9iP0oKAgPvjgA06cOEHlypWZM2cOu3fvZurUqdY/AB944AEWLFjAQw89ROfOnYmMjGTKlCmEhoYSHx+fpVwVK1bE19eXKVOm4OXlRZEiRWjUqNE9ja/9p/fff581a9bQqFEj+vfvT2hoKFeuXGHnzp388ccfXLlyxeZ91qtXjzlz5jB06FAaNGiAp6fnHf8gAggLC6N9+/bppuaCG9Nr3YtKlSrx9ttv8+6779K8eXMefvhhXF1d2bZtG0FBQUyYMAFvb28mT57M008/Td26dXniiSfw8/Pj1KlTLFmyhGbNmvHFF1/c9bFSUlJo06YN3bt359ChQ3z11Vfcd999PPjgg+nW8/Pzo0OHDsybNw9fX186d+58131nx3s/qz+jtr7//2n06NGsXLmSZs2aMXDgQMxmM1988QVhYWFZvnrduHHjWLVqFffddx8vvPACTk5OfP311yQnJ/Phhx9a12vXrh1ly5blmWee4bXXXsPR0ZFvv/3W+vr9U+XKlXnmmWfYtm0bJUuW5Ntvv+XChQvMmDHDuk5oaCitWrWiXr16FCtWjO3bt/PLL78wePDgLGUXyTa5PX1CXgUYv/76q/X24sWLDcAoUqRIui8nJyeje/fuhmEYxvnz542QkBDjtddeM3bu3Gn89ddfRsuWLY02bdqkm0pJCqZbp+a6k39OzXXT1KlTjXr16hnu7u6Gl5eXUaNGDeP11183zp07Z13HbDYbY8aMMQIDAw13d3ejVatWxv79+41y5crddWquiIgIo23btoanp6dRokQJo3///saePXsyTDXVu3dvo0iRIhny3W4qn3/6+++/jcaNGxvu7u5GUFCQ8frrr1untLo1T8uWLY3q1asb27dvN5o0aWK4ubkZ5cqVM7744ot0+7NYLMb48eONcuXKGa6urkadOnWMxYsXG7179043fdXNqbk++uijTHMtWrTICA0NtU5zdPM538zxT7d7nQBj0KBB6ZZduHDBGDRokFGmTBnD2dnZCAgIMNq0aWNMnTrVus7N12TevHnptr2Z+9bXID4+3njyyScNX19fA7jrNF03M82aNcsICQmxfp9u/X4bxv9ew4sXL2bYx+1e32+//daoU6eO4erqahQtWtRo2bKlsWrVqnTrrFmzxmjfvr3h4+NjuLm5GRUrVjT69OmTbqqwzNz8mfnrr7+M5557zihatKjh6elp9OzZ07h8+XKm28ydO9cAjOeee+6O+77Vv33v35SVn9Gsvv9vZ/Xq1UadOnUMFxcXo2LFisb06dONV1991XBzc0u3Xmbvw5t27txptG/f3vD09DQ8PDyM1q1bGxs3bsyw3o4dO4xGjRoZLi4uRtmyZY1PP/30tlNzde7c2VixYoVRs2ZNw9XV1ahatWqG9/K4ceOMhg0bGr6+voa7u7tRtWpV47333ks37ZpIbjAZRi6ehZCHmUwmfv31V7p16wbAnDlz6NmzJ+Hh4Rk+svP09CQgIIARI0awfPlytm3bZr3vzJkzlClThk2bNtG4cePcfAoieVqrVq24dOlSph/Pi21MJhODBg3K0lHQ/G7RokV069aNdevWWac1K+i6detm1ymvypcvT1hYGIsXL7bL44vYSsMMbqNOnTqYzWaio6Nv+w9oQkJChrNgbxbf7D6LVUSkMJo2bRoVKlSwXoa3oElMTEx3ktmRI0dYunRploYsicgNhbrMxsfHpztrNDIykt27d1OsWDEqV65Mz5496dWrF5988gl16tTh4sWLrF69mpo1a9K5c2c6d+7MZ599xtixY+nRowdxcXG89dZblCtXjjp16tjxmYmI5G83T7xdsmQJkyZNyrEZKuytQoUK9OnThwoVKnDy5EkmT56Mi4sLr7/+ur2jieQbhbrMbt++Pd30MEOHDgVunMQzc+ZMZsyYwbhx43j11Vc5e/YsJUqUoHHjxtZrhf/nP/9h9uzZfPjhh3z44Yd4eHjQpEkTli9fnm3zOoqIFEY9evTA09OTZ555hhdeeMHecXJMhw4d+Omnn4iKisLV1ZUmTZowfvz4TC+KISKZ05hZEREREcm3NM+siIiIiORbKrMiIiIikm8VujGzFouFc+fO4eXlVWBPKBARERHJzwzDIC4ujqCgoAwzR/1ToSuz586ds16rWkRERETyrtOnT1O6dOk7rlPoyqyXlxdw45tz85rVIiIiIpJ3xMbGUqZMGWtvu5NCV2ZvDi3w9vZWmRURERHJw7IyJFQngImIiIhIvqUyKyIiIiL5lsqsiIiIiORbKrMiIiIikm+pzIqIiIhIvqUyKyIiIiL5lsqsiIiIiORbKrMiIiIikm+pzIqIiIhIvlXorgAmIiIiYiuzxWBr5BWi45Lw93KjYXAxHB3ufnUqyXkqsyIiIiJ3sHz/ecb8HsH5mCTrskAfN0Z1CaVDWKAdkwlomIGIiIjIbS3ff56Bs3amK7IAUTFJDJy1k+X7z9spmdykMisiIiKSCbPFYMzvERiZ3Hdz2ZjfIzBbMltDcovKrIiIiEgmtkZeyXBE9lYGcD4mia2RV3IvlGSgMisiIiKSiei42xfZe1lPcobKrIiIiEgm/L3csnU9yRkqsyIiIiKZaBhcDB9357uut+HoRVLNllxIJJlRmRURERHJxJxtp4lJTM30vltnmP1yzTEenbyR4xfjcyeYpKMyKyIiIvIP3286wVu/7gOgdRU/AnzSDyUI8HFjylN1+eLJOvi4O7PnTAyd/7uB2VtOYRia3SA36aIJIiIiIreYvv4445YcAOC5FhV4s2NVLAa3vQJYvXJFGTZvD38fvcxbv+7jz4MXeP+RmpTwdLXn0yg0TEYh+/MhNjYWHx8fYmJi8Pb2tnccERERyUO+WnuUD5cfAmBQ64oMa1cFk+nul621WAy+/TuSD5cfIsVsoYSnCx8+WpP/VC2Z05ELJFv6moYZiIiISKFnGAaT/jhiLbJD2lbOcpEFcHAw8WzzCiwa3IwqJb24FJ9Cv5nbeWfhPhJTzDkZvdBTmRUREZFCzTAMPll5mM/+OAzA6x2q8HLbkCwX2VtVC/Rm0eBmPHNfMACzNp+i8+fr2XcmJlszy/+ozIqIiEihZRgGE5Yd5Is1RwF4p3M1XmhV6V/t083ZkREPhDLrmUaU9Hbl+MXrPPTV33y55qgufZsDVGZFRESkUDIMgzG/RzB13XEAxjxYnWebV8i2/d8XUoLlL7egY1gAaRaDj1YcosfUzZy+kpBtjyEqsyIiIlIIWSwG7yzcz8yNJzCZYPxDNejdtHy2P07RIi581bMuHz9WiyIujmw9cYVOk9bz664zmsIrm6jMioiISKFithgMX7CXH7ecwmSCDx+pyZONyubY45lMJh6tV5plL7egXrmixCWnMWTOHl78aRcxCZlflEGyTmVWRERECo00s4Vh8/Ywd/sZHEzwWffaPFa/TK48dtniHsx5rjGv3l8ZRwcTi/eep8OkdWw8dilXHr+gUpkVERGRQiHVbOGVObv5dddZHB1MfN6jLt3qlMrVDE6ODrzYJoT5A5sSXKII52OS6Dl9C+OXHiA5TVN43QuVWRERESnwUtIsDJ69k8V7z+PsaOKrnnXpXDPQbnlql/FlyUv30aNhWQwDpq47Ttcv/ubwhTi7ZcqvVGZFRESkQEtOMzNw1g5WhF/AxcmBr5+uR/vqAfaOhYeLExMersG0XvUpVsSFg1FxPPD5Bmb8HYlFU3hlmcqsiIiIFFhJqWb6f7+D1QejcXVyYHqv+nnuErP3h5Zk+SvNaV3Fj5Q0C2N+j6D3jK1ciE2yd7R8QWVWRERECqSElDT6zdzGusMXcXd2ZEafBrSo7GfvWJny93Lj2z4NeLdrdVydHFh/5BLtJ65j+f7z9o6W56nMioiISIETn5xGn2+3sfHYZYq4OPJdv4Y0rVTC3rHuyGQy8XST8ix56T7CSnlzLSGV52ft5PVf9hCfnGbveHmWyqyIiIgUKLFJqfT6ZgtbT1zBy9WJ759pRMPgYvaOlWWV/L1YMLAZL7SqiMkEc7efodOk9ew4edXe0fIklVkREREpMGISUnl6+hZ2nrqGj7szP/ZvRL1yRe0dy2YuTg683qEqc55rQilfd05dSeCxKRv5dNVhUs0We8fLU1RmRUREpEC4cj2FJ6dvZs+ZGIp6ODO7fyNqlva1d6x/pWFwMZa90pyH6pTCYsB/Vx/hsSmbiLx03d7R8gyVWREREcn3LsUn8+S0zYSfi6WEpws/P9eE6kE+9o6VLbzdnPns8dr8t0cdvN2c2H36Gp3/u56ft57CMDSFl8qsiIiI5GvRsUk8MXUzB6Pi8Pdy5efnmlAlwMvesbLdg7WCWP5KC5pUKE5CipnhC/bx3A87uByfbO9odqUyKyIiIvnW+ZhEHp+6maPR8QT6uDFnQBMq+XvaO1aOCfJ158dnG/FWp6o4O5pYFXGB9hPXs+ZQtL2j2Y3KrIiIiORLZ64m8PjXm4m8dJ1Svu7MHdCE4BJF7B0rxzk4mHiuRUUWDbqPEH9PLsUn03fGNkYt2k9Sqtne8XKdyqyIiIjkO6cu3yiyp64kULaYB3Ofb0KZYh72jpWrQoO8+f3F++jbrDwA3206yQOfb2D/2Rj7BstlKrMiIiKSrxy/GE/3rzdx9loiFUoUYe6AG9NXFUZuzo6M6lKd7/s1xN/LlaPR8Tz01d9MXnsMs6VwnBymMisiIiL5xtHoOB6fupmo2CRC/D35eUBjAnzc7B3L7lpU9mP5Ky1oX70kqWaDD5Yf5Mlpmzl7LdHe0XKcyqyIiIjkCwejYnn8681cjEumaoAXPz/XGH8vFdmbihVxYcpT9fjw0ZoUcXFkS+QVOkxcx6LdZ+0dLUepzIqIiEiet/9sDD2mbuby9RTCSnnzU//GFPd0tXesPMdkMtG9fhmWvtycOmV9iUtK4+Wfd/PST7uISUy1d7wcoTIrIiIiedqe09d4ctpmriakUquMLz8+25iiRVzsHStPK1e8CPMGNGFI28o4Opj4bc85Ok5cx6Zjl+0dLdupzIqIiEietePkFZ6avoXYpDTqlSvKrGca4uPubO9Y+YKTowMvtw3hl+ebUL64B+diknhy+mYmLDtAclrBmcJLZVZERETypC3HL9Prm63EJafRKLgY3/driJebiqyt6pQtypKXmvNEgzIYBnz913Ee+nIjRy7E2TtatlCZFRERkTzn76OX6DNjG9dTzNxXqQQz+zakiKuTvWPlW0VcnXj/kZp8/XQ9ino4E3E+lgc+38B3G09gGPl7Ci+VWREREclT/jp8kX4zt5GYaqZlZT+m966Pu4ujvWMVCO2rB7DilRa0rOxHcpqFUb+F02fGNqJjk+wd7Z6pzIqIiEiesfrABfp/t53kNAttq5Vkaq96uDmryGYnf283ZvZtwJgHq+Pq5MBfhy/SfuI6VoRH2TvaPVGZFRERkTxh+f4onp+1gxSzhY5hAXzVsy6uTiqyOcFkMtG7aXkWv3gfoYHeXE1IZcAPOxg+fy/Xk9PsHc8mKrMiIiJid7/vOceg2TtJNRt0qRXE5z3q4OKkmpLTQkp6sXBQMwa0rIDJBD9vO02n/65n56mr1nXMFoNNxy6zaPdZNh27nOcuk2sy8vuoXxvFxsbi4+NDTEwM3t7e9o4jIiJS6P266wyvzt2DxYCH65Tio8dq4ehgsnesQmfTscu8Onc352KScHQw8eJ/KhHi78m4JQc4H/O/MbWBPm6M6hJKh7DAHMtiS19TmRURERG7mbvtNG8s2IthwOP1yzD+4RoqsnYUk5jKyEX7WbT73G3XufnqTH6qbo4VWlv6mo7fi4iIiF38uOUkr8+/UWSfalyWCSqydufj7sykJ+rwWfda3O6VuHkUdMzvEXliyIHKrIiIiOS6mX9H8vav+wHo26w873YNw0FFNs8I8HHnTjXVAM7HJLE18kpuRbotu5bZCRMm0KBBA7y8vPD396dbt24cOnTojtvMnDkTk8mU7svNzS2XEouIiMi/NW3dcUb/HgHAgJYVGPlAKCaTimxeEh2XtXlns7peTrJrmf3rr78YNGgQmzdvZtWqVaSmptKuXTuuX79+x+28vb05f/689evkyZO5lFhERET+jS/XHOW9pQcAeOk/lRjeoaqKbB7k75W1A4VZXS8n2fW6cMuXL093e+bMmfj7+7Njxw5atGhx2+1MJhMBAQE5HU9ERESyiWEYTPzjCJNWHwFg6P2VealNiJ1Tye00DC5GoI8bUTFJmQ43MAEBPm40DC6W29EyyFNjZmNiYgAoVuzO35j4+HjKlStHmTJl6Nq1K+Hh4bddNzk5mdjY2HRfIiIiknsMw+CjFYesRXZ4x6oqsnmco4OJUV1CATKcCHbz9qguoXnihL08U2YtFguvvPIKzZo1Iyws7LbrValShW+//ZZFixYxa9YsLBYLTZs25cyZM5muP2HCBHx8fKxfZcqUyamnICIiIv9gGAbvLTnAV2uPATDigVCeb1nRzqkkKzqEBTL5qboE+KQfShDg45aj03LZKs/MMztw4ECWLVvGhg0bKF26dJa3S01NpVq1avTo0YN33303w/3JyckkJydbb8fGxlKmTBnNMysiIpLDDMNg9G/hfLfpxrkt73atztNNyts3lNjMbDHYGnmF6Lgk/L1uDC3I6SOytswza9cxszcNHjyYxYsXs27dOpuKLICzszN16tTh6NGjmd7v6uqKq6trdsQUERGRLLJYDN5euJ+ftp7CZIIJD9XgiYZl7R1L7oGjg4kmFYvbO8Zt2XWYgWEYDB48mF9//ZU///yT4OBgm/dhNpvZt28fgYF541C3iIhIYWe2GLw+fy8/bT2Fgwk+frSWiqzkGLsemR00aBCzZ89m0aJFeHl5ERUVBYCPjw/u7u4A9OrVi1KlSjFhwgQAxo4dS+PGjalUqRLXrl3jo48+4uTJkzz77LN2ex4iIiJyQ5rZwqvz9rBo9zkcHUx82r0WXWuXsncsKcDsWmYnT54MQKtWrdItnzFjBn369AHg1KlTODj87wDy1atX6d+/P1FRURQtWpR69eqxceNGQkNDcyu2iIiIZCLVbOGVn3ezZN95nBxM/LdHHTrV0CenkrPyzAlgucWWAcUiIiKSNclpZl6cvYuVERdwdjTx5ZN1aVddc8LLvcl3J4CJiIhI/pWUauaFH3fy58FoXJwc+PrperSu4m/vWFJIqMyKiIhIlv1zmqYapXwY+OMO1h+5hJuzA9N7NeC+kBL2jimFiMqsiIiIZMny/ecZ83sE52OSrMtcHB1IMVvwcHHkm94N8vQUTlIwqcyKiIjIXS3ff56Bs3byzxNtUswWAF5oVVFFVuwiz1zOVkRERPIms8VgzO8RGYrsrX7ccgqzpVCdUy55hMqsiIiI3NHWyCvphhZk5nxMElsjr+RSIpH/UZkVERGRO4qOu3ORtXU9keykMisiIiK3ZRgGJy4lZGldfy+3HE4jkpFOABMREZFMnbx8nVG/hbP20MU7rmcCAnzcaBhcLHeCidxCZVZERETSSUo1M3ntMSb/dYyUNAsujg60qebP8v1RAOlOBDP9/39HdQnF0cGUYV8iOU1lVkRERKzWHIpm9G/hnLx8Y2hB85ASjHmwOhX8PDOdZzbAx41RXULpEBZor8hSyKnMioiICGevJTL293BWhF8AoKS3KyMfqE6nGgGYTDeOuHYIC+T+0IB0VwBrGFxMR2TFrlRmRURECrGUNAvfbIjkv6uPkJhqxtHBRL9m5Xm5bWU8XTPWBEcHky6OIHmKyqyIiEghtfHYJUYuCudodDwADcsXY2y36lQN8LZzMpGsU5kVEREpZKJjk3hv6QEW7T4HQAlPF97sWI2H65ayDikQyS9UZkVERAqJNLOF7zed5LNVh4lLTsPBBE81Lser7arg4+5s73gi90RlVkREpBDYcfIq7yzcz4HzsQDUKuPLe93CCCvlY+dkIv+OyqyIiEgBdjk+mQ+WH2Tu9jMA+Lg780aHqjzRoAwOmoVACgCVWRERkQLIYjH4adspPlx+iJjEVAAer1+GNzpWpVgRFzunE8k+KrMiIiIFzL4zMbyzaD97Tl8DoFqgN+O6VadeOV1uVgoelVkREZECIiYhlY9XHmLWlpMYBni6OvFqu8o83bgcTo4O9o4nkiNUZkVERPI5wzBYsPMs45ce4PL1FAC61g7i7U7V8Pd2s3M6kZylMisiIpKPHYqKY8TC/Ww9cQWASv6ejO1anaYVS9g5mUjuUJkVERHJh+KT05j0x2G+/fsEZouBu7MjL7UJ4Zn7gnFx0pACKTxUZkVERPIRwzBYsu887y6O4EJsMgAdqgcwoksopXzd7ZxOJPepzIqIiOQTxy/GM+q3cNYfuQRAueIejH6wOq2r+Ns5mYj9qMyKiIjkcYkpZr5cc5Sp646TYrbg4uTAC60q8nzLirg5O9o7nohdqcyKiIjkYasiLjDm93DOXE0EoHUVP0Y/WJ1yxYvYOZlI3qAyKyIikgedvpLA6N/CWX0wGoAgHzdGdqlO++olMZl0GVqRm1RmRURE8pDkNDNT/zrOF2uOkpxmwdnRxLPNK/Difyrh4aJf2yL/pJ8KERGRPGLd4YuM+i2cyEvXAWhSoTjvdqtOJX8vOycTybtUZkVEROzsfEwi4xYfYMm+8wD4ebnyTudqPFgrSEMKRO5CZVZERMROUs0WZvwdycQ/jpCQYsbBBL2blmfI/ZXxdnO2dzyRfEFlVkRExA62HL/MiEX7OXwhHoB65YrybtcwQoO87ZxMJH9RmRUREclFF+OSmbD0AAt2nQWgWBEXhneoyqP1SuPgoCEFIrZSmRUREckFZovBj1tO8tGKQ8QlpWEyQY+GZXm9fRV8PVzsHU8k31KZFRERyWG7Tl1lxKL97D8bC0BYKW/GdatB7TK+9g0mUgCozIqIiOSQq9dT+HDFQX7edhrDAC83J15vX4UnG5XDUUMKRLKFyqyIiEg2s1gM5u04zfvLDnI1IRWAh+uW4s2O1fDzcrVzOpGCRWVWRETERmaLwdbIK0THJeHv5UbD4GLWI63h52IYsXA/O09dA6BKSS/e7RZGw+BidkwsUnCpzIqIiNhg+f7zjPk9gvMxSdZlgT5uvNa+CnvPxPD9phNYDCji4siQ+yvTu2l5nB0d7JhYpGBTmRUREcmi5fvPM3DWTox/LD8fk8TQuXustx+oGcg7nUMJ8HHL3YAihZDKrIiISBaYLQZjfo/IUGRv5ehgYkbvBrSo4pdruUQKO33uISIikgVbI6+kG1qQGbPFwNlJv1pFcpN+4kRERLIgOu7ORdbW9UQke6jMioiIZIG/V9bGv2Z1PRHJHiqzIiIiWdAwuBiBdzihy8SNWQ00BZdI7lKZFRERyQJHBxMP1y2V6X03r+U1qkuoruwlkstUZkVERLLgyvUU5m4/A9yYQ/ZWAT5uTH6qLh3CAu0RTaRQ09RcIiIid2EYBu8s3MfFuGQq+XuyaFAz9p6JyfQKYCKSu2wqs9euXePXX39l/fr1nDx5koSEBPz8/KhTpw7t27enadOmOZVTRETEbhbtPsfSfVE4OZj4rHttirg60aRicXvHEhGyOMzg3LlzPPvsswQGBjJu3DgSExOpXbs2bdq0oXTp0qxZs4b777+f0NBQ5syZk9OZRUREcs35mERGLNoPwEttQqhR2sfOiUTkVlk6MlunTh169+7Njh07CA0NzXSdxMREFi5cyMSJEzl9+jTDhg3L1qAiIiK5zWIxeG3eXuKS0qhVxpcXWlW0dyQR+QeTYRh3ujIfAJcvX6Z48ax/nGLr+rkpNjYWHx8fYmJi8Pb2tnccERHJw77beIJRv4Xj5uzAkpeaU9HP096RRAoFW/paloYZ2FpM82qRFRERyapjF+OZsOwAAG92rKYiK5JH3dPUXD/88APNmjUjKCiIkydPAjBx4kQWLVqUreFERETsIc1sYejcPSSlWmgeUoKnG5ezdyQRuQ2by+zkyZMZOnQonTp14tq1a5jNZgB8fX2ZOHFiducTERHJdV+tPcae09fwcnPiw0dr4qBpt0TyLJvL7Oeff860adN4++23cXT836TR9evXZ9++fTbta8KECTRo0AAvLy/8/f3p1q0bhw4duut28+bNo2rVqri5uVGjRg2WLl1q69MQERHJ1L4zMfx39REA3u0aRqCPu50Ticid2FxmIyMjqVOnToblrq6uXL9+3aZ9/fXXXwwaNIjNmzezatUqUlNTadeu3R33s3HjRnr06MEzzzzDrl276NatG926dWP//v22PhUREZF0klLNDJm7mzSLQecagXStHWTvSCJyFzZfASw4OJjdu3dTrlz68UPLly+nWrVqNu1r+fLl6W7PnDkTf39/duzYQYsWLTLdZtKkSXTo0IHXXnsNgHfffZdVq1bxxRdfMGXKFJseX0RE5FYfrTjE0eh4/LxcGdctDJNJwwtE8jqby+zQoUMZNGgQSUlJGIbB1q1b+emnn5gwYQLTp0//V2FiYmIAKFas2G3X2bRpE0OHDk23rH379ixcuDDT9ZOTk0lOTrbejo2N/VcZRUSkYNp47BLfbIgE4MNHalK0iIudE4lIVthcZp999lnc3d155513SEhI4MknnyQoKIhJkybxxBNP3HMQi8XCK6+8QrNmzQgLC7vtelFRUZQsWTLdspIlSxIVFZXp+hMmTGDMmDH3nEtERAq+2KRUXpu3F4AeDcvSuqq/nROJSFbZXGYBevbsSc+ePUlISCA+Ph5//3//Qz9o0CD279/Phg0b/vW+bvXmm2+mO5IbGxtLmTJlsvUxREQkfxv7ewRnryVStpgH73S2bciciNjXPZXZmzw8PPDw8PjXIQYPHszixYtZt24dpUuXvuO6AQEBXLhwId2yCxcuEBAQkOn6rq6uuLq6/uuMIiJSMK0Ij+KXHWcwmeDT7rUo4vqvfjWKSC6z+Se2Tp06mQ6IN5lMuLm5UalSJfr06UPr1q3vui/DMHjxxRf59ddfWbt2LcHBwXfdpkmTJqxevZpXXnnFumzVqlU0adLEpuchIiJyKT6ZtxbcmFZyQIuK1C9/+3M2RCRvsnlqrg4dOnD8+HGKFClC69atad26NZ6enhw7dowGDRpw/vx52rZtm6WrgQ0aNIhZs2Yxe/ZsvLy8iIqKIioqisTEROs6vXr14s0337Tefvnll1m+fDmffPIJBw8eZPTo0Wzfvp3Bgwfb+lRERKQQMwyDNxfs4/L1FKoGeDHk/hB7RxKRe2DzkdlLly7x6quvMmLEiHTLx40bx8mTJ1m5ciWjRo3i3XffpWvXrnfc1+TJkwFo1apVuuUzZsygT58+AJw6dQoHh/917qZNmzJ79mzeeecd3nrrLUJCQli4cOEdTxoTERH5p3k7zrAq4gLOjiY+e7w2rk6Od99IRPIck2EYhi0b+Pj4sGPHDipVqpRu+dGjR6lXrx4xMTEcPHiQBg0aEBcXl61hs0NsbCw+Pj7ExMTg7e1t7zgiImIHp68k0HHSeuKT03ijQ1UGtqpo70gicgtb+prNwwzc3NzYuHFjhuUbN27Ezc0NuDHN1s3/FxERyUssFoNh8/YQn5xG/XJFea5FBXtHEpF/weZhBi+++CLPP/88O3bsoEGDBgBs27aN6dOn89ZbbwGwYsUKateuna1BRUREssO3f0eyJfIKHi6OfNK9Fo4OusqXSH5m8zADgB9//JEvvviCQ4cOAVClShVefPFFnnzySQASExOtsxvkNRpmICJSeB2+EMcDn28gJc3C+Idq8GSjsvaOJCKZsKWv3VOZzc9UZkVECqeUNAsPffU34ediaV3Fj2/7NMh0qkkRsT9b+to9zwydkpJCdHQ0Fosl3fKyZfVXroiI5D2f/3mE8HOxFPVw5oNHaqrIihQQNpfZI0eO0K9fvwwngRmGgclkwmw2Z1s4ERGR7LDz1FW+XHMUgPceqoG/d94bBici98bmMtunTx+cnJxYvHgxgYGB+stWRETytISUNF6duweLAd1qB9GpRqC9I4lINrK5zO7evZsdO3ZQtWrVnMgjIiKSrd5fdpDIS9cJ8HZjzIO6wI5IQWPzPLOhoaFcunQpJ7KIiIhkq3WHL/L9ppMAfPRYTXw8nO2cSESym81l9oMPPuD1119n7dq1XL58mdjY2HRfIiIieUFMQiqv/bIHgN5NytE8xM/OiUQkJ9g8zKBt27YAtGnTJt1ynQAmIiJ5yYhF+7kQm0yFEkUY3rGaveOISA6xucyuWbMmJ3KIiIhkm9/3nOO3PedwdDDx6eO1cXdxtHckEckhNpfZli1b5kQOERGRbHEhNokRi/YDMKhVRWqX8bVvIBHJUTaPmQVYv349Tz31FE2bNuXs2bMA/PDDD2zYsCFbw4mIiNjCMAzemL+XawmphJXy5sU2IfaOJCI5zOYyO3/+fNq3b4+7uzs7d+4kOTkZgJiYGMaPH5/tAUVERLJq9tZTrD10ERcnBz7rXhtnx3s6ZiMi+YjNP+Xjxo1jypQpTJs2DWfn/01x0qxZM3bu3Jmt4URERLLqxKXrjFt8AIA3OlQlpKSXnROJSG6wucweOnSIFi1aZFju4+PDtWvXsiOTiIiITcwWg1fn7SEx1UzjCsXo27S8vSOJSC6xucwGBARw9OjRDMs3bNhAhQoVsiWUiIiILb5ed4wdJ6/i5erEx4/VwsFBl1oXKSxsLrP9+/fn5ZdfZsuWLZhMJs6dO8ePP/7IsGHDGDhwYE5kFBERua3wczF8tuowAKMerE7poh52TiQiucnmqbmGDx+OxWKhTZs2JCQk0KJFC1xdXRk2bBgvvvhiTmQUERHJVHKamaFz9pBqNmgXWpJH6paydyQRyWUmwzCMe9kwJSWFo0ePEh8fT2hoKJ6entmdLUfExsbi4+NDTEwM3t7e9o4jIiL/woRlB/j6r+OU8HRhxSstKO7pau9IIpINbOlrNg8z6NevH3Fxcbi4uBAaGkrDhg3x9PTk+vXr9OvX755Di4iI2GJr5BWmrjsOwPiHaqjIihRSNpfZ7777jsTExAzLExMT+f7777MllIiIyJ3EJ6fx6rzdGAY8Vq807aoH2DuSiNhJlsfMxsbGYhgGhmEQFxeHm5ub9T6z2czSpUvx9/fPkZAiIiK3Grc4gtNXEinl687ILqH2jiMidpTlMuvr64vJZMJkMlG5cuUM95tMJsaMGZOt4URERP5p9YEL/LztNCYTfNK9Fl5uznffSEQKrCyX2TVr1mAYBv/5z3+YP38+xYoVs97n4uJCuXLlCAoKypGQIiIiAFeup/DG/H0APNMsmMYVits5kYjYW5bLbMuWLQGIjIykbNmymEyakFpERHKPYRi8/es+LsUnE+LvybD2VewdSUTygCydAHbq1Cnr/5crV+6uRfbs2bP/LpWIiMg/LNx9lmX7o3ByMPHZ47Vxc3a0dyQRyQOyVGYbNGjAgAED2LZt223XiYmJYdq0aYSFhTF//vxsCygiInLuWiIjF4UD8ErbEMJK+dg5kYjkFVkaZhAREcF7773H/fffj5ubG/Xq1SMoKAg3NzeuXr1KREQE4eHh1K1blw8//JBOnTrldG4RESkkLBaD137ZQ1xSGrXL+PJ8y4r2jiQieYhNVwBLTExkyZIlbNiwgZMnT5KYmEiJEiWoU6cO7du3JywsLCezZgtdAUxEJH+Z+Xcko3+PwM3ZgaUvNaeCX/644qSI3Dtb+to9X842v1KZFRHJP45Gx9P5v+tJTrPwbtfqPN2kvL0jiUguyNHL2YqIiOSGVLOFoXN3k5xmoXlICZ5qXM7ekUQkD1KZFRGRPOnLNUfZeyYGbzcnPnq0lqaEFJFMqcyKiEies/fMNT7/8ygA73YLI8DH7S5biEhhpTIrIiJ5SlKqmSFzdmO2GHSuGciDtXR1SRG5PZVZERHJUz5YfpBjF6/j7+XKuK5hGl4gInd0T2X2hx9+oFmzZgQFBXHy5EkAJk6cyKJFi7I1nIiIFC4bj15ixt8nAPjg0ZoULeJi30AikufZXGYnT57M0KFD6dSpE9euXcNsNgPg6+vLxIkTszufiIgUEjGJqQybtweAno3K0rqKv50TiUh+YHOZ/fzzz5k2bRpvv/02jo7/uy52/fr12bdvX7aGExGRwmPM7+Gci0miXHEP3upUzd5xRCSfsLnMRkZGUqdOnQzLXV1duX79eraEEhGRwmX5/vMs2HkWBxN82r0WRVyzdLV1ERHby2xwcDC7d+/OsHz58uVUq6a/pEVExDbRcUm89et+AJ5vWZF65YrZOZGI5Cc2/+k7dOhQBg0aRFJSEoZhsHXrVn766ScmTJjA9OnTcyKjiIgUUIZh8NaCfVy5nkK1QG9eaVvZ3pFEJJ+xucw+++yzuLu7884775CQkMCTTz5JUFAQkyZN4oknnsiJjCIiUkDN3X6aPw5E4+LowGeP18LFSTNGiohtTIZhGPe6cUJCAvHx8fj7558zTmNjY/Hx8SEmJgZvb297xxERKbROX0mgw8R1XE8x82bHqgxoWdHekUQkj7Clr9l8ZDYyMpK0tDRCQkLw8PDAw8MDgCNHjuDs7Ez58uXvKbSIiBQeZovBq3P3cD3FTMPyxXi2eQV7RxKRfMrmz3P69OnDxo0bMyzfsmULffr0yY5MIiJSwH2z4ThbT1yhiIsjHz9WC0cHXeVLRO6NzWV2165dNGvWLMPyxo0bZzrLgYiIyK0ORcXx8YrDAIx4IJSyxT3snEhE8jOby6zJZCIuLi7D8piYGOvVwERERDKTkmZhyJzdpJgttKnqz+MNytg7kojkczaX2RYtWjBhwoR0xdVsNjNhwgTuu+++bA0nIiIFy6TVh4k4H0tRD2cmPFIDk0nDC0Tk37H5BLAPPviAFi1aUKVKFZo3bw7A+vXriY2N5c8//8z2gCIiUjDsOHmVyWuPATD+oRr4e7nZOZGIFAQ2H5kNDQ1l7969dO/enejoaOLi4ujVqxcHDx4kLCwsJzKKiEg+l5CSxqtzd2Mx4OE6pehYI9DekUSkgLini18HBQUxfvz47M4iIiIF1PilBzhxOYFAHzdGPVjd3nFEpADJUpndu3cvYWFhODg4sHfv3juuW7NmzWwJJiIiBcNfhy8ya/MpAD5+rBY+7s52TiQiBUmWymzt2rWJiorC39+f2rVrYzKZyOzCYSaTSTMaiIiI1bWEFF6btweAPk3L06xSCTsnEpGCJktlNjIyEj8/P+v/i4iIZMWIReFExyVTwa8Ib3Soau84IlIAZekEsHLlymEymUhNTWXMmDFYLBbKlSuX6Zct1q1bR5cuXQgKCsJkMrFw4cI7rr927VpMJlOGr6ioKJseV0REct5ve87x+55zODqY+Kx7bdxdHO0dSUQKIJtmM3B2dmb+/PnZ9uDXr1+nVq1afPnllzZtd+jQIc6fP2/98vf3z7ZMIiLy70XFJDFi4X4ABreuRK0yvvYNJCIFls2zGXTr1o2FCxcyZMiQf/3gHTt2pGPHjjZv5+/vj6+v779+fBERyX6GYfD6/L3EJKZSs7QPg/9Tyd6RRKQAs7nMhoSEMHbsWP7++2/q1atHkSJF0t3/0ksvZVu426lduzbJycmEhYUxevRomjVrdtt1k5OTSU5Ott6OjY3N8XwiIoXZrC2nWHf4Iq5ODnzavRbOjjZPaS4ikmU2l9lvvvkGX19fduzYwY4dO9LdZzKZcrTMBgYGMmXKFOrXr09ycjLTp0+nVatWbNmyhbp162a6zYQJExgzZkyOZRIRkf+JvHSd8UsOAPBGh6pU8veycyIRKehMRmZzbNmByWTi119/pVu3bjZt17JlS8qWLcsPP/yQ6f2ZHZktU6YMMTExeHt7/5vIIiJyizSzhce+3sSuU9doWrE4s55phIODyd6xRCQfio2NxcfHJ0t97Z6uAHbTzR5sMtnvH6uGDRuyYcOG297v6uqKq6trLiYSESk8zBaDrZFXiI5LYuOxy+w6dQ0vVyc+eqyWiqyI5Ip7KrPffPMNn332GUeOHAFujKN95ZVXePbZZ7M1XFbs3r2bwEBd41tEJLct33+eMb9HcD4mKd3yh+uWopSvu51SiUhhY3OZHTlyJJ9++ikvvvgiTZo0AWDTpk0MGTKEU6dOMXbs2CzvKz4+nqNHj1pvR0ZGsnv3booVK0bZsmV58803OXv2LN9//z0AEydOJDg4mOrVq5OUlMT06dP5888/Wblypa1PQ0RE/oXl+88zcNZOMhun9v2mkzSpWJwOYTrQICI5z+YyO3nyZKZNm0aPHj2syx588EFq1qzJiy++aFOZ3b59O61bt7beHjp0KAC9e/dm5syZnD9/nlOnTlnvT0lJ4dVXX+Xs2bN4eHhQs2ZN/vjjj3T7EBGRnGW2GIz5PSLTInvTmN8juD80AEcNNRCRHGbzCWC+vr5s27aNkJCQdMsPHz5Mw4YNuXbtWnbmy3a2DCgWEZGMNh27TI9pm++63k/9G9OkYvFcSCQiBY0tfc3myf+efvppJk+enGH51KlT6dmzp627ExGRfCYqNunuKwHRcVlbT0Tk37jnE8BWrlxJ48aNAdiyZQunTp2iV69e1qECAJ9++mn2pBQREbszDIO1hy7y6cpDWVrf38sthxOJiNxDmd2/f7/1AgXHjh0DoESJEpQoUYL9+/db17PndF0iIpK99py+xoRlB9h8/AoAJrjtmFkTEODjRsPgYrkVT0QKMZvL7Jo1a3Iih4iI5EEnLl3noxWHWLLvPAAuTg70aVqeKiU9GTZvL5C+1N48jDGqS6hO/hKRXPGvLpogIiIF08W4ZP67+gg/bT1FmsXAZIKH6pRi6P2VKV3UA4Airk4Z5pkN8HFjVJdQTcslIrlGZVZERKyuJ6cxbf1xpq07zvUUMwCtqvjxRoeqVAtMf0Zxh7BA7g8NsF4BzN/rxtACHZEVkdykMisiIqSaLfy89RSTVh/hUnwKALVK+/BGx6o0rVjitts5Opg0/ZaI2JXKrIhIIWYYBkv3RfHRioOcuJwAQLniHrzWvgqdawTqZF4RyfNUZkVECqlNxy7z/vKD7Dl9DYDiRVx4uW0ITzQoi4uTzdOQi4jYxT2V2SNHjrBmzRqio6OxWCzp7hs5cmS2BBMRkZxxMCqWD5YdZM2hiwB4uDjSv3kF+reogKerjnGISP5i879a06ZNY+DAgZQoUYKAgIB0H0GZTCaVWRGRPOrstUQ+W3WY+TvPYBg3xrv2aFiGl9qE6AIHIpJv2Vxmx40bx3vvvccbb7yRE3lERCSbxSSk8tXao8zYeIKUtBufpnWqEcCwdlWo4Odp53QiIv+OzWX26tWrPPbYYzmRRUREslFSqpnvNp7gyzVHiU1KA6BRcDGGd6xKnbJF7ZxORCR72FxmH3vsMVauXMnzzz+fE3lERORfMlsMFuw8w2erDnPu/y9oUKWkF8M7VqVVFT/NUCAiBYrNZbZSpUqMGDGCzZs3U6NGDZydndPd/9JLL2VbOBERyTrDMFh76CIfLD/Iwag4AAJ93Bh6f2UerltaFzMQkQLJZBiGcffV/ic4OPj2OzOZOH78+L8OlZNiY2Px8fEhJiYGb2/vu28gIpIP7D59jQlLD7Al8goA3m5ODGpdid5Ny+Pm7GjndCIitrGlr9l8ZDYyMvKeg4mISPaKvHSdj1YcZOm+KABcnBzo27Q8A1tVxNfDxc7pRERyniYUFBHJhy7GJTNp9WF+3nqaNIuByQSP1C3NkPsrU8rX3d7xRERyzT2V2TNnzvDbb79x6tQpUlJS0t336aefZkswERHJKD45jWnrjjNt/XESUswAtK7ixxsdq1I1QEOnRKTwsbnMrl69mgcffJAKFSpw8OBBwsLCOHHiBIZhULdu3ZzIKCJS6KWaLfy09RT/XX2ES/E3DiLUKu3D8I7VaFKxuJ3TiYjYj81l9s0332TYsGGMGTMGLy8v5s+fj7+/Pz179qRDhw45kVFEpNAyDIMl+87z8YpDnLicAED54h681r4qnWoEaJotESn0bC6zBw4c4KeffrqxsZMTiYmJeHp6MnbsWLp27crAgQOzPaSISGG06dhl3l92gD1nYgAo4enCy21CeKJhWZwdHeycTkQkb7C5zBYpUsQ6TjYwMJBjx45RvXp1AC5dupS96URECqED52P5YPlB1h66CICHiyP9m1egf4sKeLrqvF0RkVvZ/K9i48aN2bBhA9WqVaNTp068+uqr7Nu3jwULFtC4ceOcyCgiUiicvZbIpysPs2DXGQwDnBxM9GhYlpfahODn5WrveCIieZLNZfbTTz8lPj4egDFjxhAfH8+cOXMICQnRTAYiIvfgWkIKX609xsyNJ0hJswDQuUYgw9pXIbhEETunExHJ22y+Alh+pyuAiUhekZRqZubGE3y15iixSWkANAouxpudqlG7jK99w4mI2FGOXgFMRET+HbPFYP7OM3y26jDnY5IAqFLSi+Edq9Kqip9mKBARsUGWymyxYsU4fPgwJUqUoGjRonf8h/bKlSvZFk5EpCAxDIM1h6L5YNkhDl2IAyDIx42h7arwUJ1SODqoxIqI2CpLZfazzz7Dy8sLgIkTJ+ZkHhGRAmnXqatMWHaQrZE3/uD3cXdmUOuK9GpSHjdnRzunExHJvzRmVkTkXzJbDLZGXiE6Lgl/LzcaBhezHmU9fjGej1ceYum+KABcnBzo27Q8L7SqhI+Hsz1ji4jkWdk+ZjY2NjbLD66CKCKFyfL95xnze4R17CtAoI8br7QNYd/ZGH7aehqzxcBkgkfqlmbo/ZUJ8nW3Y2IRkYIlS2XW19c3yyckmM3mfxVIRCS/WL7/PANn7eSfH2+dj0nijfn7rLf/U9Wf1ztUoWqA/tgXEcluWSqza9assf7/iRMnGD58OH369KFJkyYAbNq0ie+++44JEybkTEoRkTzGbDEY83tEhiJ7K2dHE9/1bUjTSiVyLZeISGGTpTLbsmVL6/+PHTuWTz/9lB49eliXPfjgg9SoUYOpU6fSu3fv7E8pIpLHbI28km5oQWZSzYam2RIRyWEOtm6wadMm6tevn2F5/fr12bp1a7aEEhHJ66Lj7lxkbV1PRETujc1ltkyZMkybNi3D8unTp1OmTJlsCSUikpclpZpZd/hiltb193LL4TQiIoWbzVcA++yzz3jkkUdYtmwZjRo1AmDr1q0cOXKE+fPnZ3tAEZG8wjAMVkVcYOziCM5cTbzjuiYgwOfGNF0iIpJzbD4y26lTJw4fPkyXLl24cuUKV65coUuXLhw+fJhOnTrlREYREbuLvHSdvjO38dwPOzhzNZFAHzf6Nw/GxI3iequbt0d1CdVVvUREcpgumiAicgcJKWl8ueYo09ZFkmK24Oxoon/zCgxqXYkirk63nWd2VJdQOoQF2jG5iEj+le0XTfin9evX8/XXX3P8+HHmzZtHqVKl+OGHHwgODua+++67p9AiInmJYRgs2x/FuMURnPv/otqish+ju4RSwc/Tul6HsEDuDw247RXAREQkZ9lcZufPn8/TTz9Nz5492blzJ8nJyQDExMQwfvx4li5dmu0hRURy09HoOEb/FsGGo5cAKOXrzsguobQLLZnpVFuODiaaVCye2zFFRIR7GDM7btw4pkyZwrRp03B2/t91xZs1a8bOnTuzNZyISG6KT05j/NIDdJi4ng1HL+Hi5MBLbUL4Y2hL2lcP0JyxIiJ5kM1HZg8dOkSLFi0yLPfx8eHatWvZkUlEJFcZhsFve84xfukBLsTe+LSpbTV/RjwQSrniReycTkRE7sTmMhsQEMDRo0cpX758uuUbNmygQoUK2ZVLRCRXHIyKZeSicLZGXgGgXHEPRnUJ5T9VS9o5mYiIZIXNZbZ///68/PLLfPvtt5hMJs6dO8emTZsYNmwYI0aMyImMIiLZLjYplc9WHeb7TScxWwzcnB0Y1KoS/VtUwM3Z0d7xREQki2wus8OHD8disdCmTRsSEhJo0aIFrq6uDBs2jBdffDEnMoqIZBuLxWDBrrO8v+wAl+JTAOgYFsDbnatRuqiHndOJiIit7nme2ZSUFI4ePUp8fDyhoaF4enrefaM8QPPMihRe+8/GMOq3cHacvApABb8ijO5SnRaV/eycTEREbpXj88wCuLi4EBoaeq+bi4jkmmsJKXy88hCzt5zCYoCHiyMvtQmhX7NgXJxsntRFRETykCyX2X79+mVpvW+//faew4iIZCeLxWDO9tN8uPwgVxNSAehSK4i3OlUl0MfdzulERCQ7ZLnMzpw5k3LlylGnTh0K2RVwRSQf2nP6GiMX7WfPmRgAQvw9GdO1Ok0rlrBzMhERyU5ZLrMDBw7kp59+IjIykr59+/LUU09RrFixnMwmImKzK9dT+HD5QeZsP41hgKerE6+0DaF30/I4O2pIgYhIQWPTCWDJycksWLCAb7/9lo0bN9K5c2eeeeYZ2rVrl2+ujKMTwEQKJrPFYPaWk3y88jAxiTeGFDxcpxTDO1XF38vNzulERMQWtvS1e57N4OTJk8ycOZPvv/+etLQ0wsPD88WMBiqzIgXPjpNXGLEwnIjzsQBUC/RmbNfqNCivT49ERPKjXJnNwMHBAZPJhGEYmM3me92NiMg9uxiXzPvLDjJ/5xkAvN2cGNa+Ck82LIuThhSIiBQKNpXZW4cZbNiwgQceeIAvvviCDh064OCgXxwikjvSzBa+33SSz1YdJi45DYDH65fhtQ5VKOHpaud0IiKSm7JcZl944QV+/vlnypQpQ79+/fjpp58oUUJnBYtI7tp8/DKjFoVz6EIcADVK+TC2a3XqlC1q52QiImIPWR4z6+DgQNmyZalTp84dT/ZasGBBtoXLCRozK5I/XYhN4r0lB/htzzkAfD2ceb19VR5vUAZHh/xxAqqIiGSNLX0ty2MDevXqRevWrfH19cXHx+e2X7ZYt24dXbp0ISgoCJPJxMKFC++6zdq1a6lbty6urq5UqlSJmTNn2vSYIpK/pKRZ+PqvY/zn47X8tuccJhP0bFSWNa+24slGZVVkRUQKOZsumpDdrl+/Tq1atejXrx8PP/zwXdePjIykc+fOPP/88/z444+sXr2aZ599lsDAQNq3b5/t+UTEvjYcucSo3/Zz7OJ1AOqU9eXdrmGElbLtD2cRESm47nk2g+zQsWNHOnbsmOX1p0yZQnBwMJ988gkA1apVY8OGDXz22WcqsyIFyNlriby3JIKl+6IAKF7EheEdq/JI3dI46EisiIjcwq5l1labNm2ibdu26Za1b9+eV1555bbbJCcnk5ycbL0dGxubU/FE5F9KTjMzfX0kX/x5lMRUMw4m6NWkPEPur4yPu7O944mISB6Ur8psVFQUJUuWTLesZMmSxMbGkpiYiLu7e4ZtJkyYwJgxY3IroojcozWHohnzWzgnLicA0LB8McZ0rU61QJ2oKSIit5evyuy9ePPNNxk6dKj1dmxsLGXKlLFjIhG51ekrCYxdHMGqiAsA+Hm58nananStHZRvLpMtIiL2k6/KbEBAABcuXEi37MKFC3h7e2d6VBbA1dUVV1dNoi6S1ySlmpm89hhT/jpGcpoFJwcTfZuV56U2IXi5aUiBiIhkTb4qs02aNGHp0qXplq1atYomTZrYKZGI2MowDFZFXGDs4gjOXE0EoGnF4ox5sDohJb3snE5ERPIbu5bZ+Ph4jh49ar0dGRnJ7t27KVasGGXLluXNN9/k7NmzfP/99wA8//zzfPHFF7z++uv069ePP//8k7lz57JkyRJ7PQURsUHkpeuM+T2ctYcuAhDo48Y7nUPpVCNAQwpEROSe2LXMbt++ndatW1tv3xzb2rt3b2bOnMn58+c5deqU9f7g4GCWLFnCkCFDmDRpEqVLl2b69OmalkskDzBbDLZGXiE6Lgl/LzcaBhezXtAgISWNL9ccZdq6SFLMFpwdTfRvXoFBrStRxDVffUAkIiJ5TJYvZ1tQ6HK2Itlv+f7zjPk9gvMxSdZlgT5ujHwgFAMYtziCc/9/X4vKfozuEkoFP087pRURkbzOlr6mQyIi8q8s33+egbN28s+/is/HJDHwx53W26V83RnZJZR2oSU1pEBERLKNyqyI3DOzxWDM7xEZiuw/Df5PJQa1qoS7i2Ou5BIRkcLDwd4BRCT/2hp5Jd3QgttpVrGEiqyIiOQIlVkRuWfRcXcvsrasJyIiYiuVWRG5Z36eWbsgib+XWw4nERGRwkpjZkXknhy+EMdHKw7ecR0TEOBzY5ouERGRnKAyKyI2SU4z8+WaY0xee5RUs4GbkwNJaRZMkO5EsJvzFYzqEmqdb1ZERCS7qcyKSJZtP3GF4Qv2cTQ6HoC21fwZ2zWMvWeuZZhnNsDHjVFdQukQFmivuCIiUgiozIrIXcUmpfLh8oPM2nzjinwlPF0Z82B162Vog3zduT804LZXABMREckpKrMickcrw6MYuSicqNgbR10fr1+GtzpVw8fDOd16jg4mmlQsbo+IIiJSiKnMikimomOTGP17OEv3RQFQvrgH4x+uQdOKJeycTERE5H9UZkUkHcMwmLPtNO8tPUBcUhqODiaea1GBl9uE4OasCx+IiEjeojIrIlaRl67z5oK9bD5+BYCapX2Y8HANqgf52DmZiIhI5lRmRYRUs4Wp644zafURUtIsuDs78mq7yvRpWh4nR11bRURE8i6VWZFCbs/pa7wxfy8Ho+IAaB5SgvEP1aBMMQ87JxMREbk7lVmRQup6chqfrDzMzI2RWAwo6uHMyC6hdKtdCpNJU2qJiEj+oDIrUgitPRTN27/u5+y1RAAeqlOKdzpXo7inq52TiYiI2EZlVqQQuRyfzLuLI1i4+xwApXzdee+hMFpV8bdzMhERkXujMitSCBiGwa+7zvLu4giuJqTiYIK+zYIZen9lirjqnwEREcm/9FtMpIA7fSWBt37dx/ojlwCoGuDF+4/UpHYZX/sGExERyQYqsyIFVJrZwsyNJ/hk5WESU824ODnwcpsQnmtRAWdNtyUiIgWEyqxIARRxLpbhC/ay90wMAI2CizHh4RpU8PO0czIREZHspTIrUoAkpZqZtPoIU9cdx2wx8HJz4u1O1ehevwwODppuS0RECh6VWZECYuOxS7y1YB8nLicA0KlGAKO7VMff283OyURERHKOyqxIPheTkMp7SyOYu/0MACW9XXm3axjtqgfYOZmIiEjOU5kVyacMw2DpvihG/RbOpfhkAJ5qXJbXO1TF283ZzulERERyh8qsSD50PiaREQv388eBaAAq+hXh/Udq0qB8MTsnExERyV0qsyL5iMViMGvLST5cfoj45DScHU280KoSL7SuiKuTo73jiYiI5DqVWZF84siFOIYv2MeOk1cBqFvWl/cfqUnlkl52TiYiImI/KrMieVxympmv1hzjq7VHSTUbFHFx5I2OVXmqUTlNtyUiIoWeyqxIHrb9xBWGL9jH0eh4ANpU9efdbmEE+brbOZmIiEjeoDIrkgfFJaXy4fJD/LD5JAAlPF0Y/WB1OtcIxGTS0VgREZGbVGZF8phVERcYsXA/UbFJAHSvX5q3OlXD18PFzslERETyHpVZkTwiOi6J0b+Fs3RfFADlinsw4aEaNK1Uws7JRERE8i6VWRE7MwyDudtP896SA8QmpeHoYKJ/8wq80jYEN2dNtyUiInInKrMidhR56TpvLtjL5uNXAKhRyof3H6lB9SAfOycTERHJH1RmRewg1Wxh2vrjTPzjCClpFtycHXj1/ir0bVYeJ0cHe8cTERHJN1RmRXLZntPXGL5gHwfOxwLQPKQE73WrQdniHnZOJiIikv+ozIpkM7PFYGvkFaLjkvD3cqNhcDEcHUwkpKTxycrDzPg7EosBvh7OjHwglIfqlNJ0WyIiIvdIZVYkGy3ff54xv0dwPibJuizQx41H65Xm111nOXM1EYButYMY8UAoxT1d7RVVRESkQFCZFckmy/efZ+CsnRj/WH4+JonP/zwKQClfd8Y9FEbrKv65H1BERKQAUpkVyQZmi8GY3yMyFNlbFXFxZNnLzfF2d861XCIiIgWdTpsWyQZbI6+kG1qQmespZsLPxeZSIhERkcJBZVYkG0TH3rnIWteLy9p6IiIikjUaZiDyL6SZLSzbH8VnfxzO0vr+Xm45nEhERKRwUZkVuQdJqWbm7TjDtHXHOXUl4a7rm4AAnxvTdImIiEj2UZkVsUFMQio/bD7BzI0nuBSfAkBRD2d6Ny1PaV93XvtlL0C6E8FuziA7qksojg6aT1ZERCQ7qcyKZEFUTBLfbDjO7C2nuJ5iBm5Ms9W/eTDdG5TBw+XGj5Knm1OGeWYDfNwY1SWUDmGBdskuIiJSkKnMitzB0eg4vv7rOAt3nyXVfON4a9UAL55vWZHONQNxdkx/DmWHsEDuDw3I9ApgIiIikv1UZkUysfPUVaasPcbKiAvWZQ2DizGwZUVaVfG74+VnHR1MNKlYPDdiioiIFHoqsyL/zzAM1h66yOS/jrE18op1ebvQkjzfqiJ1yxa1YzoRERHJjMqsFHppZguL955nyl/HOBgVB4Czo4lutUsxoGUFKvl72TmhiIiI3I7KrBRaiSlm5mw7xbT1kZy9lgjcuOTsk43K0u++YAJ93O2cUERERO5GZVYKnavXU/h+00m+23SCK9dvTK9VvIgLfZuV5+nG5fHxcLZzQhEREckqlVkpNM5eS2T6+uP8vPU0iak3ptcqU8yd51pU5LF6pXFzdrRzQhEREbGVyqwUeIcvxDHlr2P8tvscaZYb02uFBnrzfKuKdAoLwOkf02uJiIhI/qEyKwXWthNXmLL2GKsPRluXNa1YnOdbVqR5SIk7Tq8lIiIi+UOeOCT15ZdfUr58edzc3GjUqBFbt2697bozZ87EZDKl+3Jzc8vFtJKXWSwGf0Rc4NHJG3lsyiZWH4zGZIKOYQEsGtSM2f0b06LyneeJFRERkfzD7kdm58yZw9ChQ5kyZQqNGjVi4sSJtG/fnkOHDuHv75/pNt7e3hw6dMh6W8VEUs0WFu0+x9d/HeNIdDwALo4OPFKvFP2bV6CCn6edE4qIiEhOsHuZ/fTTT+nfvz99+/YFYMqUKSxZsoRvv/2W4cOHZ7qNyWQiICAgN2NKHnU9OY2ft53mm/XHOReTBICnqxM9G5flmWbB+HvrqL2IiEhBZtcym5KSwo4dO3jzzTetyxwcHGjbti2bNm267Xbx8fGUK1cOi8VC3bp1GT9+PNWrV8903eTkZJKTk623Y2Njs+8JiN1cjk/mu40n+G7TSWISUwEo4elKv/vK07NROXzcNb2WiIhIYWDXMnvp0iXMZjMlS5ZMt7xkyZIcPHgw022qVKnCt99+S82aNYmJieHjjz+madOmhIeHU7p06QzrT5gwgTFjxuRIfsl9p68kMG39ceZuP01SqgWA8sU9eK5FRR6uW0rTa4mIiBQydh9mYKsmTZrQpEkT6+2mTZtSrVo1vv76a959990M67/55psMHTrUejs2NpYyZcrkSlbJPgfOxzLlr2Ms3nse8/9Pr1WjlA8DW1WkffUAHB00blpERKQwsmuZLVGiBI6Ojly4cCHd8gsXLmR5TKyzszN16tTh6NGjmd7v6uqKq6vrv84quc8wDLZEXmHKX8dYe+iidXnzkBI837IiTSsW18l/IiIihZxdy6yLiwv16tVj9erVdOvWDQCLxcLq1asZPHhwlvZhNpvZt28fnTp1ysGkkpssFoOVEReY8tcxdp++BoCDCTrVCOT5lhUJK+Vj34AiIiKSZ9h9mMHQoUPp3bs39evXp2HDhkycOJHr169bZzfo1asXpUqVYsKECQCMHTuWxo0bU6lSJa5du8ZHH33EyZMnefbZZ+35NCQbJKeZWbTrHFPWHeP4xesAuDg58Fi90jzXogLlihexc0IRERHJa+xeZh9//HEuXrzIyJEjiYqKonbt2ixfvtx6UtipU6dwcPjftR2uXr1K//79iYqKomjRotSrV4+NGzcSGhpqr6cg/1JcUio/bT3FNxsiuRB7Y+YJLzcnnm5cjr7NgvHz0jARERERyZzJMAzD3iFyU2xsLD4+PsTExODt7W3vOIXaxbhkZvwdyQ+bTxKXlAZASW9XnrkvmB4Ny+Llpum1RERECiNb+prdj8xKwWS2GGyNvEJ0XBL+Xm40DC5mnXHg5OXrTF13nHk7zpCSdmN6rQp+RXi+RUW61gnC1UnTa4mIiEjWqMxKtlu+/zxjfo/g/P9fkQsg0MeNvk3Ls/dsDEv3nef/Z9eidhlfnm9ZkXahJXHQ9FoiIiJiI5VZyVbL959n4Kyd/HPsyvmYJMYv+9+FMFpV8eP5lhVpFFxM02uJiIjIPVOZlWxjthiM+T0iQ5G9lbuzA3MHNKVGaU2vJSIiIv+ew91XEcma5fvPpxtakJnEVAvxyWm5lEhEREQKOh2ZlXtmGAbHLsazIvwCK8Oj2HMmJkvbRcfdufCKiIiIZJXKrNjEYjHYfeYaK8KjWBV+geOXrtu8D38vtxxIJiIiIoWRyqzcVUqahU3HL7MyPIpVEReIjku23ufi6EDTSsVpFxpA66p+PPzVRqJikjIdN2sCAnxuTNMlIiIikh1UZiVT8clprD0UzcrwC6w5GE3cLeNcPV2daF3Vn3ahJWlVxS/dxQ1GdQll4KydmCBdoTXdcr+jpuASERGRbKIyK1YX45L548CN8a9/H71Mitliva+Epyv3h5akffWSNKlY/LYXNugQFsjkp+pmmGc2wMeNUV1C6RAWmOPPQ0RERAoPldlC7uTl66wMv8CK8Ch2nLrKrRc3Ll/cg/bVA2hXPYA6ZXyzfFGDDmGB3B8acNsrgImIiIhkF5XZQsYwDMLPxbIyPIoV4Rc4dCEu3f01S/vQLrQk7asHUMnf854vaODoYKJJxeLZEVlERETktlRmC4E0s4VtJ67emIEg4gJnryVa73N0MNG4QjHahQZwf2hJgnzd7ZhURERExDYqswVUYoqZ9UcusiL8AqsPXuBaQqr1PjdnB1pW9qN99QD+U9UfXw8XOyYVERERuXcqswXItYQUVh+IZmVEFH8dvkhS6v9O4Crq4UybaiVpF1qS5iF+uLtkfgKXiIiISH6iMpvPnbuWyMrwKFZGXGBL5BXMlv+dwVXK15121UvSLjSABuWL4uSoqxeLiIhIwaIym88YhsGR6HhW7L9RYPedTX8J2aoBXrSrHkC70JJUD/K+5xO4RERERPIDldl8wGIx2HX6KivCb8wBe+JygvU+kwnqlytK++o3TuAqV7yIHZOKiIiI5C6V2TwqOc3MxmOXWRl+gVURF7gUn/4SsveFlKBdaEnahpakhKerHZOKiIiI2I/KbA4yWwybLhwQl5TKmkMXWRkexdpDF4m/5RKyXq5O/KeaP+1CA2hZxQ9PV710IiIiImpEOWT5/vMZLukamMklXaPjkvgjIpoV4VFsPHaJVPP/TuDy93K1nsDVuEJxXJx0ApeIiIjIrVRmc8Dy/ecZOGsnxj+WR8UkMXDWTkY/WJ2kVDMrwqPYdfpaukvIVihRhHbVA2hfvSS1Smf9ErIiIiIihZHKbDYzWwzG/B6RocgC1mWjfgtPt7xWGd//v4RsSSr5e+V4RhEREZGCQmU2m22NvJJuaMHthAV583iDMrQNLUmgjy4hKyIiInIvVGazWXTc3YssQP8WFehau1QOpxEREREp2HRGUTbz93LL1vVERERE5PZUZrNZw+BiBPq4cbvTtkzcmNWgYXCx3IwlIiIiUiCpzGYzRwcTo7qEAmQotDdvj+oSesf5ZkVEREQka1Rmc0CHsEAmP1WXAJ/0QwkCfNyY/FTddPPMioiIiMi90wlgOaRDWCD3hwbYdAUwEREREbGNymwOcnQw0aRicXvHEBERESmwNMxARERERPItlVkRERERybdUZkVEREQk31KZFREREZF8S2VWRERERPItlVkRERERybdUZkVEREQk31KZFREREZF8S2VWRERERPItlVkRERERybcK3eVsDcMAIDY21s5JRERERCQzN3vazd52J4WuzMbFxQFQpkwZOycRERERkTuJi4vDx8fnjuuYjKxU3gLEYrFw7tw5vLy8MJlMOf54sbGxlClThtOnT+Pt7Z3jjyd5g173wkeveeGj17zw0WueewzDIC4ujqCgIBwc7jwqttAdmXVwcKB06dK5/rje3t564xdCet0LH73mhY9e88JHr3nuuNsR2Zt0ApiIiIiI5FsqsyIiIiKSb6nM5jBXV1dGjRqFq6urvaNILtLrXvjoNS989JoXPnrN86ZCdwKYiIiIiBQcOjIrIiIiIvmWyqyIiIiI5FsqsyIiIiKSb6nMioiIiEi+pTKbw7788kvKly+Pm5sbjRo1YuvWrfaOJDlkwoQJNGjQAC8vL/z9/enWrRuHDh2ydyzJRe+//z4mk4lXXnnF3lEkh509e5annnqK4sWL4+7uTo0aNdi+fbu9Y0kOMZvNjBgxguDgYNzd3alYsSLvvvsuOoc+b1CZzUFz5sxh6NChjBo1ip07d1KrVi3at29PdHS0vaNJDvjrr78YNGgQmzdvZtWqVaSmptKuXTuuX79u72iSC7Zt28bXX39NzZo17R1FctjVq1dp1qwZzs7OLFu2jIiICD755BOKFi1q72iSQz744AMmT57MF198wYEDB/jggw/48MMP+fzzz+0dTdDUXDmqUaNGNGjQgC+++AIAi8VCmTJlePHFFxk+fLid00lOu3jxIv7+/vz111+0aNHC3nEkB8XHx1O3bl2++uorxo0bR+3atZk4caK9Y0kOGT58OH///Tfr16+3dxTJJQ888AAlS5bkm2++sS575JFHcHd3Z9asWXZMJqAjszkmJSWFHTt20LZtW+syBwcH2rZty6ZNm+yYTHJLTEwMAMWKFbNzEslpgwYNonPnzul+3qXg+u2336hfvz6PPfYY/v7+1KlTh2nTptk7luSgpk2bsnr1ag4fPgzAnj172LBhAx07drRzMgFwsneAgurSpUuYzWZKliyZbnnJkiU5ePCgnVJJbrFYLLzyyis0a9aMsLAwe8eRHPTzzz+zc+dOtm3bZu8okkuOHz/O5MmTGTp0KG+99Rbbtm3jpZdewsXFhd69e9s7nuSA4cOHExsbS9WqVXF0dMRsNvPee+/Rs2dPe0cTVGZFcsSgQYPYv38/GzZssHcUyUGnT5/m5ZdfZtWqVbi5udk7juQSi8VC/fr1GT9+PAB16tRh//79TJkyRWW2gJo7dy4//vgjs2fPpnr16uzevZtXXnmFoKAgveZ5gMpsDilRogSOjo5cuHAh3fILFy4QEBBgp1SSGwYPHszixYtZt24dpUuXtnccyUE7duwgOjqaunXrWpeZzWbWrVvHF198QXJyMo6OjnZMKDkhMDCQ0NDQdMuqVavG/Pnz7ZRIctprr73G8OHDeeKJJwCoUaMGJ0+eZMKECSqzeYDGzOYQFxcX6tWrx+rVq63LLBYLq1evpkmTJnZMJjnFMAwGDx7Mr7/+yp9//klwcLC9I0kOa9OmDfv27WP37t3Wr/r169OzZ092796tIltANWvWLMO0e4cPH6ZcuXJ2SiQ5LSEhAQeH9JXJ0dERi8Vip0RyKx2ZzUFDhw6ld+/e1K9fn4YNGzJx4kSuX79O37597R1NcsCgQYOYPXs2ixYtwsvLi6ioKAB8fHxwd3e3czrJCV5eXhnGRBcpUoTixYtrrHQBNmTIEJo2bcr48ePp3r07W7duZerUqUydOtXe0SSHdOnShffee4+yZctSvXp1du3axaeffkq/fv3sHU3Q1Fw57osvvuCjjz4iKiqK2rVr89///pdGjRrZO5bkAJPJlOnyGTNm0KdPn9wNI3bTqlUrTc1VCCxevJg333yTI0eOEBwczNChQ+nfv7+9Y0kOiYuLY8SIEfz6669ER0cTFBREjx49GDlyJC4uLvaOV+ipzIqIiIhIvqUxsyIiIiKSb6nMioiIiEi+pTIrIiIiIvmWyqyIiIiI5FsqsyIiIiKSb6nMioiIiEi+pTIrIiIiIvmWyqyIiIiI5FsqsyIiYpMRI0bw3HPPWW+3atWKV1555Y7blC9fPtuuinbp0iX8/f05c+ZMtuxPRPI3lVkRKXA2bdqEo6MjnTt3tneUAicqKopJkybx9ttv27Tdtm3b0hXgf6NEiRL06tWLUaNGZcv+RCR/U5kVkQLnm2++4cUXX2TdunWcO3fujusahkFaWlouJbs7s9mMxWKxd4zbmj59Ok2bNqVcuXI2befn54eHh0e25ejbty8//vgjV65cybZ9ikj+pDIrIgVKfHw8c+bMYeDAgXTu3JmZM2emu3/t2rWYTCaWLVtGvXr1cHV1ZcOGDVgsFiZMmEBwcDDu7u7UqlWLX375xbqd2WzmmWeesd5fpUoVJk2adNc8v/32GyEhIbi5udG6dWu+++47TCYT165dA2DmzJn4+vry22+/ERoaiqurK6dOneLq1av06tWLokWL4uHhQceOHTly5Ih1v6NHj6Z27drpHmvixImUL1/eertPnz5069aNMWPG4Ofnh7e3N88//zwpKSnWdX755Rdq1KiBu7s7xYsXp23btly/fv22z+fnn3+mS5cuGZanpaUxePBgfHx8KFGiBCNGjMAwDOv9/xxmYDKZmD59Og899BAeHh6EhITw22+/We+/evUqPXv2xM/PD3d3d0JCQpgxY4b1/urVqxMUFMSvv/5626wiUjiozIpIgTJ37lyqVq1KlSpVeOqpp/j222/Tlaqbhg8fzvvvv8+BAweoWbMmEyZM4Pvvv2fKlCmEh4czZMgQnnrqKf766y8ALBYLpUuXZt68eURERDBy5Ejeeust5s6de9sskZGRPProo3Tr1o09e/YwYMCATD+eT0hI4IMPPmD69OmEh4fj7+9Pnz592L59O7/99hubNm3CMAw6depEamqqTd+P1atXc+DAAdauXctPP/3EggULGDNmDADnz5+nR48e9OvXz7rOww8/nOn3C+DKlStERERQv379DPd99913ODk5sXXrViZNmsSnn37K9OnT75htzJgxdO/enb1799KpUyd69uxpPdI6YsQIIiIiWLZsGQcOHGDy5MmUKFEi3fYNGzZk/fr1Nn0/RKQAMkRECpCmTZsaEydONAzDMFJTU40SJUoYa9assd6/Zs0aAzAWLlxoXZaUlGR4eHgYGzduTLevZ555xujRo8dtH2vQoEHGI488ctv733jjDSMsLCzdsrffftsAjKtXrxqGYRgzZswwAGP37t3WdQ4fPmwAxt9//21ddunSJcPd3d2YO3euYRiGMWrUKKNWrVrp9v3ZZ58Z5cqVs97u3bu3UaxYMeP69evWZZMnTzY8PT0Ns9ls7NixwwCMEydO3PY53GrXrl0GYJw6dSrd8pYtWxrVqlUzLBZLuuderVo16+1y5coZn332mfU2YLzzzjvW2/Hx8QZgLFu2zDAMw+jSpYvRt2/fO+YZMmSI0apVqyxlF5GCS0dmRaTAOHToEFu3bqVHjx4AODk58fjjj/PNN99kWPfWo4tHjx4lISGB+++/H09PT+vX999/z7Fjx6zrffnll9SrVw8/Pz88PT2ZOnUqp06dumOeBg0apFvWsGHDDOu5uLhQs2ZN6+0DBw7g5OREo0aNrMuKFy9OlSpVOHDgQBa+E/9Tq1atdGNVmzRpQnx8PKdPn6ZWrVq0adOGGjVq8NhjjzFt2jSuXr16230lJiYC4ObmluG+xo0bYzKZ0j3OkSNHMJvNt93frc+5SJEieHt7Ex0dDcDAgQP5+eefqV27Nq+//jobN27MsL27uzsJCQl3ePYiUhiozIpIgfHNN9+QlpZGUFAQTk5OODk5MXnyZObPn09MTEy6dYsUKWL9//j4eACWLFnC7t27rV8RERHWcbM///wzw4YN45lnnmHlypXs3r2bvn37pht/eq/c3d3TFcGscHBwyDAcwNYhCI6OjqxatYply5YRGhrK559/TpUqVYiMjMx0/Zsf89+p8NrC2dk53W2TyWQ9+a1jx46cPHmSIUOGcO7cOdq0acOwYcPSrX/lyhX8/PyyJYuI5F8qsyJSIKSlpfH999/zySefpCuke/bsISgoiJ9++um229564lWlSpXSfZUpUwaAv//+m6ZNm/LCCy9Qp04dKlWqlO6obWaqVKnC9u3b0y3btm3bXZ9LtWrVSEtLY8uWLdZlly9f5tChQ4SGhgI3ZgeIiopKV2h3796dYV979uyxHlEF2Lx5M56entbnZTKZaNasGWPGjGHXrl24uLjc9qSqihUr4u3tTURERIb7bs1683FCQkJwdHS86/O9HT8/P3r37s2sWbOYOHEiU6dOTXf//v37qVOnzj3vX0QKBpVZESkQFi9ezNWrV3nmmWcICwtL9/XII49kOtTgJi8vL4YNG8aQIUP47rvvOHbsGDt37uTzzz/nu+++AyAkJITt27ezYsUKDh8+zIgRI+5aTAcMGMDBgwd54403OHz4MHPnzrXOrnCnI7EhISF07dqV/v37s2HDBvbs2cNTTz1FqVKl6Nq1K3DjQgUXL17kww8/5NixY3z55ZcsW7Ysw75SUlJ45plniIiIYOnSpYwaNYrBgwfj4ODAli1bGD9+PNu3b+fUqVMsWLCAixcvUq1atUxzOTg40LZtWzZs2JDhvlOnTjF06FAOHTrETz/9xOeff87LL798x+/PnYwcOZJFixZx9OhRwsPDWbx4cbpcCQkJ7Nixg3bt2t3zY4hIwaAyKyIFwjfffEPbtm3x8fHJcN8jjzzC9u3b2bt37223f/fddxkxYgQTJkygWrVqdOjQgSVLlhAcHAzcKKYPP/wwjz/+OI0aNeLy5cu88MILd8wUHBzML7/8woIFC6hZsyaTJ0+2zmbg6up6x21nzJhBvXr1eOCBB2jSpAmGYbB06VLrR/PVqlXjq6++4ssvv6RWrVps3bo1w8fwAG3atCEkJIQWLVrw+OOP8+CDDzJ69GgAvL29WbduHZ06daJy5cq88847fPLJJ3Ts2PG2uZ599ll+/vnnDHPh9urVi8TERBo2bMigQYN4+eWX/9VFElxcXHjzzTepWbMmLVq0wNHRkZ9//tl6/6JFiyhbtizNmze/58cQkYLBZPxz0JWIiOSY9957jylTpnD69Okcf6w+ffpw7do1Fi5cmG37NAyDRo0aMWTIEOuJdvbQuHFjXnrpJZ588km7ZRCRvEFHZkVEctBXX33Ftm3bOH78OD/88AMfffQRvXv3tnese2YymZg6dapdr5p26dIlHn74YbuWaRHJO3RkVkQkBw0ZMoQ5c+Zw5coVypYty9NPP82bb76Jk5NTjj92ThyZFRHJa1RmRURERCTf0jADEREREcm3VGZFREREJN9SmRURERGRfEtlVkRERETyLZVZEREREcm3VGZFREREJN9SmRURERGRfEtlVkRERETyrf8DDV7XnmxnuYsAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_eda[\"area_bin\"] = pd.cut(df_eda[\"area_m2\"], bins=10)\n",
    "\n",
    "area_price = (\n",
    "    df_eda.groupby(\"area_bin\")\n",
    "    .agg(\n",
    "        mean_price=(\"price_tenge\", \"mean\"),\n",
    "        median_price=(\"price_tenge\", \"median\")\n",
    "    )\n",
    "    .reset_index()\n",
    ")\n",
    "\n",
    "plt.figure(figsize=(8,5))\n",
    "plt.plot(area_price.index, area_price[\"median_price\"], marker=\"o\")\n",
    "plt.title(\"Median apartment price by area groups\")\n",
    "plt.xlabel(\"Area groups (bins)\")\n",
    "plt.ylabel(\"Median price (tenge)\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "717c69be-9aaa-41da-986e-59efbd955d86",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,5))\n",
    "plt.scatter(df_eda[\"floor\"], df_eda[\"price_per_m2\"], alpha=0.4)\n",
    "plt.title(\"Floor vs price per m²\")\n",
    "plt.xlabel(\"Floor\")\n",
    "plt.ylabel(\"Price per m² (tenge)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "e5a7dbb2-5192-4d9b-af83-cae24d70d7a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 600x400 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def floor_group(f):\n",
    "    if f <= 2:\n",
    "        return \"1–2\"\n",
    "    elif f <= 5:\n",
    "        return \"3–5\"\n",
    "    elif f <= 9:\n",
    "        return \"6–9\"\n",
    "    else:\n",
    "        return \"10+\"\n",
    "\n",
    "df_eda[\"floor_group\"] = df_eda[\"floor\"].apply(floor_group)\n",
    "\n",
    "plt.figure(figsize=(6,4))\n",
    "df_eda.boxplot(column=\"price_per_m2\", by=\"floor_group\")\n",
    "plt.title(\"Price per m² by floor group\")\n",
    "plt.suptitle(\"\")\n",
    "plt.xlabel(\"Floor group\")\n",
    "plt.ylabel(\"Price per m² (tenge)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "53b66749-ce4f-4990-9194-5144f73504d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr = df_eda[\n",
    "    [\"price_tenge\",\"price_per_m2\",\"area_m2\",\"rooms\",\n",
    "     \"floor\",\"total_floors\",\"year_built\"]\n",
    "].corr()\n",
    "\n",
    "import seaborn as sns\n",
    "plt.figure(figsize=(8,6))\n",
    "sns.heatmap(corr, annot=True, cmap=\"coolwarm\", fmt=\".2f\")\n",
    "plt.title(\"Correlation matrix\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "a58dd2b2-1b5b-4a68-806b-d977a647c4c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "height_stats = (\n",
    "    df_eda.groupby(\"total_floors\")[\"price_per_m2\"]\n",
    "    .median()\n",
    ")\n",
    "\n",
    "plt.figure(figsize=(8,4))\n",
    "height_stats.plot(kind=\"bar\")\n",
    "plt.title(\"Median price per m² by building height\")\n",
    "plt.xlabel(\"Total floors\")\n",
    "plt.ylabel(\"Price per m² (tenge)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "317ac6a9-7332-4c39-938e-043aee219267",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}