notebook.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import pickle\n",
    "import seaborn as sns\n",
    "\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.feature_extraction import DictVectorizer\n",
    "from sklearn.linear_model import LinearRegression, Ridge\n",
    "from sklearn.metrics import mean_squared_error, r2_score, mean_absolute_error\n",
    "from sklearn.model_selection import train_test_split, GridSearchCV\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "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>work_year</th>\n",
       "      <th>experience_level</th>\n",
       "      <th>employment_type</th>\n",
       "      <th>job_title</th>\n",
       "      <th>salary</th>\n",
       "      <th>salary_currency</th>\n",
       "      <th>salary_in_usd</th>\n",
       "      <th>employee_residence</th>\n",
       "      <th>remote_ratio</th>\n",
       "      <th>company_location</th>\n",
       "      <th>company_size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021</td>\n",
       "      <td>MI</td>\n",
       "      <td>FT</td>\n",
       "      <td>Data Scientist</td>\n",
       "      <td>30400000</td>\n",
       "      <td>CLP</td>\n",
       "      <td>40038</td>\n",
       "      <td>CL</td>\n",
       "      <td>100</td>\n",
       "      <td>CL</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021</td>\n",
       "      <td>MI</td>\n",
       "      <td>FT</td>\n",
       "      <td>BI Data Analyst</td>\n",
       "      <td>11000000</td>\n",
       "      <td>HUF</td>\n",
       "      <td>36259</td>\n",
       "      <td>HU</td>\n",
       "      <td>50</td>\n",
       "      <td>US</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020</td>\n",
       "      <td>MI</td>\n",
       "      <td>FT</td>\n",
       "      <td>Data Scientist</td>\n",
       "      <td>11000000</td>\n",
       "      <td>HUF</td>\n",
       "      <td>35735</td>\n",
       "      <td>HU</td>\n",
       "      <td>50</td>\n",
       "      <td>HU</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021</td>\n",
       "      <td>MI</td>\n",
       "      <td>FT</td>\n",
       "      <td>ML Engineer</td>\n",
       "      <td>8500000</td>\n",
       "      <td>JPY</td>\n",
       "      <td>77364</td>\n",
       "      <td>JP</td>\n",
       "      <td>50</td>\n",
       "      <td>JP</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022</td>\n",
       "      <td>SE</td>\n",
       "      <td>FT</td>\n",
       "      <td>Lead Machine Learning Engineer</td>\n",
       "      <td>7500000</td>\n",
       "      <td>INR</td>\n",
       "      <td>95386</td>\n",
       "      <td>IN</td>\n",
       "      <td>50</td>\n",
       "      <td>IN</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14833</th>\n",
       "      <td>2022</td>\n",
       "      <td>MI</td>\n",
       "      <td>FT</td>\n",
       "      <td>Business Intelligence Developer</td>\n",
       "      <td>15000</td>\n",
       "      <td>USD</td>\n",
       "      <td>15000</td>\n",
       "      <td>GH</td>\n",
       "      <td>100</td>\n",
       "      <td>GH</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14834</th>\n",
       "      <td>2020</td>\n",
       "      <td>EX</td>\n",
       "      <td>FT</td>\n",
       "      <td>Staff Data Analyst</td>\n",
       "      <td>15000</td>\n",
       "      <td>USD</td>\n",
       "      <td>15000</td>\n",
       "      <td>NG</td>\n",
       "      <td>0</td>\n",
       "      <td>CA</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14835</th>\n",
       "      <td>2021</td>\n",
       "      <td>EN</td>\n",
       "      <td>FT</td>\n",
       "      <td>Machine Learning Developer</td>\n",
       "      <td>15000</td>\n",
       "      <td>USD</td>\n",
       "      <td>15000</td>\n",
       "      <td>TH</td>\n",
       "      <td>100</td>\n",
       "      <td>TH</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14836</th>\n",
       "      <td>2022</td>\n",
       "      <td>EN</td>\n",
       "      <td>FT</td>\n",
       "      <td>Data Analyst</td>\n",
       "      <td>15000</td>\n",
       "      <td>USD</td>\n",
       "      <td>15000</td>\n",
       "      <td>ID</td>\n",
       "      <td>0</td>\n",
       "      <td>ID</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14837</th>\n",
       "      <td>2020</td>\n",
       "      <td>EN</td>\n",
       "      <td>PT</td>\n",
       "      <td>ML Engineer</td>\n",
       "      <td>14000</td>\n",
       "      <td>EUR</td>\n",
       "      <td>15966</td>\n",
       "      <td>DE</td>\n",
       "      <td>100</td>\n",
       "      <td>DE</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14838 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       work_year experience_level employment_type  \\\n",
       "0           2021               MI              FT   \n",
       "1           2021               MI              FT   \n",
       "2           2020               MI              FT   \n",
       "3           2021               MI              FT   \n",
       "4           2022               SE              FT   \n",
       "...          ...              ...             ...   \n",
       "14833       2022               MI              FT   \n",
       "14834       2020               EX              FT   \n",
       "14835       2021               EN              FT   \n",
       "14836       2022               EN              FT   \n",
       "14837       2020               EN              PT   \n",
       "\n",
       "                             job_title    salary salary_currency  \\\n",
       "0                       Data Scientist  30400000             CLP   \n",
       "1                      BI Data Analyst  11000000             HUF   \n",
       "2                       Data Scientist  11000000             HUF   \n",
       "3                          ML Engineer   8500000             JPY   \n",
       "4       Lead Machine Learning Engineer   7500000             INR   \n",
       "...                                ...       ...             ...   \n",
       "14833  Business Intelligence Developer     15000             USD   \n",
       "14834               Staff Data Analyst     15000             USD   \n",
       "14835       Machine Learning Developer     15000             USD   \n",
       "14836                     Data Analyst     15000             USD   \n",
       "14837                      ML Engineer     14000             EUR   \n",
       "\n",
       "       salary_in_usd employee_residence  remote_ratio company_location  \\\n",
       "0              40038                 CL           100               CL   \n",
       "1              36259                 HU            50               US   \n",
       "2              35735                 HU            50               HU   \n",
       "3              77364                 JP            50               JP   \n",
       "4              95386                 IN            50               IN   \n",
       "...              ...                ...           ...              ...   \n",
       "14833          15000                 GH           100               GH   \n",
       "14834          15000                 NG             0               CA   \n",
       "14835          15000                 TH           100               TH   \n",
       "14836          15000                 ID             0               ID   \n",
       "14837          15966                 DE           100               DE   \n",
       "\n",
       "      company_size  \n",
       "0                L  \n",
       "1                L  \n",
       "2                L  \n",
       "3                S  \n",
       "4                L  \n",
       "...            ...  \n",
       "14833            M  \n",
       "14834            M  \n",
       "14835            L  \n",
       "14836            L  \n",
       "14837            S  \n",
       "\n",
       "[14838 rows x 11 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/DataScience_salaries_2024.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make all string columns lowercase and replace spaces with underscores\n",
    "for column in df.select_dtypes(include=['object']).columns:\n",
    "    df[column] = df[column].str.lower().str.replace(' ', '_')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>work_year</th>\n",
       "      <th>experience_level</th>\n",
       "      <th>employment_type</th>\n",
       "      <th>job_title</th>\n",
       "      <th>salary</th>\n",
       "      <th>salary_currency</th>\n",
       "      <th>salary_in_usd</th>\n",
       "      <th>employee_residence</th>\n",
       "      <th>remote_ratio</th>\n",
       "      <th>company_location</th>\n",
       "      <th>company_size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021</td>\n",
       "      <td>mi</td>\n",
       "      <td>ft</td>\n",
       "      <td>data_scientist</td>\n",
       "      <td>30400000</td>\n",
       "      <td>clp</td>\n",
       "      <td>40038</td>\n",
       "      <td>cl</td>\n",
       "      <td>100</td>\n",
       "      <td>cl</td>\n",
       "      <td>l</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021</td>\n",
       "      <td>mi</td>\n",
       "      <td>ft</td>\n",
       "      <td>bi_data_analyst</td>\n",
       "      <td>11000000</td>\n",
       "      <td>huf</td>\n",
       "      <td>36259</td>\n",
       "      <td>hu</td>\n",
       "      <td>50</td>\n",
       "      <td>us</td>\n",
       "      <td>l</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020</td>\n",
       "      <td>mi</td>\n",
       "      <td>ft</td>\n",
       "      <td>data_scientist</td>\n",
       "      <td>11000000</td>\n",
       "      <td>huf</td>\n",
       "      <td>35735</td>\n",
       "      <td>hu</td>\n",
       "      <td>50</td>\n",
       "      <td>hu</td>\n",
       "      <td>l</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021</td>\n",
       "      <td>mi</td>\n",
       "      <td>ft</td>\n",
       "      <td>ml_engineer</td>\n",
       "      <td>8500000</td>\n",
       "      <td>jpy</td>\n",
       "      <td>77364</td>\n",
       "      <td>jp</td>\n",
       "      <td>50</td>\n",
       "      <td>jp</td>\n",
       "      <td>s</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022</td>\n",
       "      <td>se</td>\n",
       "      <td>ft</td>\n",
       "      <td>lead_machine_learning_engineer</td>\n",
       "      <td>7500000</td>\n",
       "      <td>inr</td>\n",
       "      <td>95386</td>\n",
       "      <td>in</td>\n",
       "      <td>50</td>\n",
       "      <td>in</td>\n",
       "      <td>l</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   work_year experience_level employment_type                       job_title  \\\n",
       "0       2021               mi              ft                  data_scientist   \n",
       "1       2021               mi              ft                 bi_data_analyst   \n",
       "2       2020               mi              ft                  data_scientist   \n",
       "3       2021               mi              ft                     ml_engineer   \n",
       "4       2022               se              ft  lead_machine_learning_engineer   \n",
       "\n",
       "     salary salary_currency  salary_in_usd employee_residence  remote_ratio  \\\n",
       "0  30400000             clp          40038                 cl           100   \n",
       "1  11000000             huf          36259                 hu            50   \n",
       "2  11000000             huf          35735                 hu            50   \n",
       "3   8500000             jpy          77364                 jp            50   \n",
       "4   7500000             inr          95386                 in            50   \n",
       "\n",
       "  company_location company_size  \n",
       "0               cl            l  \n",
       "1               us            l  \n",
       "2               hu            l  \n",
       "3               jp            s  \n",
       "4               in            l  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "work_year\n",
      "2023    8519\n",
      "2024    4374\n",
      "2022    1652\n",
      "2021     218\n",
      "2020      75\n",
      "Name: count, dtype: int64\n",
      "\n",
      "experience_level\n",
      "se    9696\n",
      "mi    3553\n",
      "en    1148\n",
      "ex     441\n",
      "Name: count, dtype: int64\n",
      "\n",
      "employment_type\n",
      "ft    14772\n",
      "pt       27\n",
      "ct       26\n",
      "fl       13\n",
      "Name: count, dtype: int64\n",
      "\n",
      "job_title\n",
      "data_engineer                      3162\n",
      "data_scientist                     3015\n",
      "data_analyst                       2189\n",
      "machine_learning_engineer          1542\n",
      "research_scientist                  475\n",
      "                                   ... \n",
      "deep_learning_researcher              1\n",
      "big_data_developer                    1\n",
      "aws_data_architect                    1\n",
      "staff_machine_learning_engineer       1\n",
      "crm_data_analyst                      1\n",
      "Name: count, Length: 153, dtype: int64\n",
      "\n",
      "salary\n",
      "150000    316\n",
      "100000    306\n",
      "130000    281\n",
      "160000    257\n",
      "120000    246\n",
      "         ... \n",
      "154700      1\n",
      "154818      1\n",
      "155175      1\n",
      "155400      1\n",
      "14000       1\n",
      "Name: count, Length: 2363, dtype: int64\n",
      "\n",
      "salary_currency\n",
      "usd    13682\n",
      "gbp      567\n",
      "eur      424\n",
      "inr       53\n",
      "cad       51\n",
      "aud       12\n",
      "chf        8\n",
      "pln        7\n",
      "sgd        6\n",
      "brl        4\n",
      "jpy        4\n",
      "huf        3\n",
      "try        3\n",
      "dkk        3\n",
      "thb        2\n",
      "nok        2\n",
      "nzd        1\n",
      "clp        1\n",
      "zar        1\n",
      "mxn        1\n",
      "php        1\n",
      "ils        1\n",
      "hkd        1\n",
      "Name: count, dtype: int64\n",
      "\n",
      "salary_in_usd\n",
      "150000    312\n",
      "100000    282\n",
      "130000    275\n",
      "160000    255\n",
      "140000    234\n",
      "         ... \n",
      "146851      1\n",
      "173762      1\n",
      "147645      1\n",
      "147670      1\n",
      "15966       1\n",
      "Name: count, Length: 2730, dtype: int64\n",
      "\n",
      "employee_residence\n",
      "us    12926\n",
      "gb      647\n",
      "ca      390\n",
      "es      131\n",
      "de       91\n",
      "      ...  \n",
      "mu        1\n",
      "bg        1\n",
      "ir        1\n",
      "dz        1\n",
      "id        1\n",
      "Name: count, Length: 88, dtype: int64\n",
      "\n",
      "remote_ratio\n",
      "0      9853\n",
      "100    4737\n",
      "50      248\n",
      "Name: count, dtype: int64\n",
      "\n",
      "company_location\n",
      "us    12975\n",
      "gb      655\n",
      "ca      392\n",
      "es      127\n",
      "de       98\n",
      "      ...  \n",
      "ir        1\n",
      "mu        1\n",
      "qa        1\n",
      "hk        1\n",
      "ec        1\n",
      "Name: count, Length: 77, dtype: int64\n",
      "\n",
      "company_size\n",
      "m    13674\n",
      "l      983\n",
      "s      181\n",
      "Name: count, dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for feature in df.columns:\n",
    "    print(df[feature].value_counts(), end='\\n\\n')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Takeaways\n",
    "Ignore salary and salary_currency. We will use the uniform salary_in_usd instead.\n",
    "Moreover, we see that >99% of employment_type is full-time, so we will consider only rows including full-time experience. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>work_year</th>\n",
       "      <th>experience_level</th>\n",
       "      <th>job_title</th>\n",
       "      <th>salary_in_usd</th>\n",
       "      <th>employee_residence</th>\n",
       "      <th>remote_ratio</th>\n",
       "      <th>company_location</th>\n",
       "      <th>company_size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021</td>\n",
       "      <td>mi</td>\n",
       "      <td>data_scientist</td>\n",
       "      <td>40038</td>\n",
       "      <td>cl</td>\n",
       "      <td>100</td>\n",
       "      <td>cl</td>\n",
       "      <td>l</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021</td>\n",
       "      <td>mi</td>\n",
       "      <td>bi_data_analyst</td>\n",
       "      <td>36259</td>\n",
       "      <td>hu</td>\n",
       "      <td>50</td>\n",
       "      <td>us</td>\n",
       "      <td>l</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020</td>\n",
       "      <td>mi</td>\n",
       "      <td>data_scientist</td>\n",
       "      <td>35735</td>\n",
       "      <td>hu</td>\n",
       "      <td>50</td>\n",
       "      <td>hu</td>\n",
       "      <td>l</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021</td>\n",
       "      <td>mi</td>\n",
       "      <td>ml_engineer</td>\n",
       "      <td>77364</td>\n",
       "      <td>jp</td>\n",
       "      <td>50</td>\n",
       "      <td>jp</td>\n",
       "      <td>s</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022</td>\n",
       "      <td>se</td>\n",
       "      <td>lead_machine_learning_engineer</td>\n",
       "      <td>95386</td>\n",
       "      <td>in</td>\n",
       "      <td>50</td>\n",
       "      <td>in</td>\n",
       "      <td>l</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   work_year experience_level                       job_title  salary_in_usd  \\\n",
       "0       2021               mi                  data_scientist          40038   \n",
       "1       2021               mi                 bi_data_analyst          36259   \n",
       "2       2020               mi                  data_scientist          35735   \n",
       "3       2021               mi                     ml_engineer          77364   \n",
       "4       2022               se  lead_machine_learning_engineer          95386   \n",
       "\n",
       "  employee_residence  remote_ratio company_location company_size  \n",
       "0                 cl           100               cl            l  \n",
       "1                 hu            50               us            l  \n",
       "2                 hu            50               hu            l  \n",
       "3                 jp            50               jp            s  \n",
       "4                 in            50               in            l  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df[df[\"employment_type\"] == \"ft\"]\n",
    "columns = [\"work_year\", \"experience_level\", \"job_title\", \"salary_in_usd\", \"employee_residence\", \"remote_ratio\", \"company_location\", \"company_size\"]\n",
    "df = df[columns]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "work_year             0\n",
       "experience_level      0\n",
       "job_title             0\n",
       "salary_in_usd         0\n",
       "employee_residence    0\n",
       "remote_ratio          0\n",
       "company_location      0\n",
       "company_size          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()\n",
    "# No null values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "work_year                5\n",
       "experience_level         4\n",
       "job_title              150\n",
       "salary_in_usd         2707\n",
       "employee_residence      83\n",
       "remote_ratio             3\n",
       "company_location        74\n",
       "company_size             3\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nunique()\n",
    "# Number of unique values for each column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 14772 entries, 0 to 14836\n",
      "Data columns (total 8 columns):\n",
      " #   Column              Non-Null Count  Dtype \n",
      "---  ------              --------------  ----- \n",
      " 0   work_year           14772 non-null  int64 \n",
      " 1   experience_level    14772 non-null  object\n",
      " 2   job_title           14772 non-null  object\n",
      " 3   salary_in_usd       14772 non-null  int64 \n",
      " 4   employee_residence  14772 non-null  object\n",
      " 5   remote_ratio        14772 non-null  int64 \n",
      " 6   company_location    14772 non-null  object\n",
      " 7   company_size        14772 non-null  object\n",
      "dtypes: int64(3), object(5)\n",
      "memory usage: 1.0+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "numerical = [\"work_year\", \"remote_ratio\"]\n",
    "categorical = [\"experience_level\", \"job_title\", \"employee_residence\", \"company_location\", \"company_size\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create histograms for all numerical variables\n",
    "fig, axes = plt.subplots(2, 1, figsize=(8, 6))\n",
    "axes = axes.ravel()\n",
    "\n",
    "for idx, col in enumerate(numerical):\n",
    "    sns.histplot(data=df, x=col, ax=axes[idx])\n",
    "    axes[idx].set_title(f'Distribution of {col}')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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mISHB/PDDDyYiIsIsXLjQ/Pjjj6ZixYqmU6dONyzLrhDCzjAjMDDQed4QGBjoPP5s2LDBre0pNTtvwtulQIECZsWKFWmGL1++3OMbY76+vs4GIamX78CBAx6HInbekMyfP7/z3/Da8zY/Pz+3ykjZdry8vMxbb73lsj2NGjXKNG/e3FSrVu2Wl5Xiq6++cvl89tln5rXXXjNFihQxU6ZMcbscLy8vZ7D122+/ORsGbNiwwa19Q/78+c2GDRuMMVf3M540cLgeu87hjbH33Nuum1nGGDNx4kQTGhpq+vTpY2bPnm2+/vprl4+7/vOf/5iJEycaY4w5c+aMCQkJMUWLFjW+vr7mgw8+8KhOdjQySH2elt568vf3T/fa2ErJkiVdrgMyy66bbHbe6DYm88eLGwVSOXLkMG+++abH9dq1a5cZMGCACQ8PN7ly5TKPPPKImTVrljl//rxb89u9/7u2AUbKp3fv3ua1114zU6dONadOnXK7vMKFC6f7e/vqq688aliTJ08eZ8PC1P9+mzdvNvnz53e7HCsHDhwwDRs29PjmWPPmzU3evHlN4cKFTePGjc2TTz7p8vFEnjx5MtT4LD333nuvWbhwYZrhCxcuNNWrV3e7nPLly3t8A9OK1Y2ejLKjMVNqV65cMV988YVp1qyZyZUrl6lYsaIZOXKkR8fdvHnzOrfNzCpTpozp0aOH2/uCa61cudL5mTZtmgkNDTWvvvqq8xj46quvmsKFC3t0szkgIMB53Zrali1bTJ48eTJUz/QQot9kJUqUcAaKqW3YsMGULFnS4/KKFy9uFi9ebBITE02xYsWcFxa7du3yuJVvelauXOnRjiulZWHFihVNVFSUiYqKMpUqVTIBAQHOgN2TVoZ2/rBLlSpl+SPyZN0XKVLE+W+Y+qD45ZdfmlKlSnlUp/r165vvv//eo3lS69Wrl7O1idVJRMqJhCeCgoLSPYH4+uuvndvVgQMH3NrGunbtakqUKGEaNWpkChQoYP7++29jjDFz5szx+C5uQECA2bRpU5rhGzdu9OhuYs2aNc2aNWs8+u7rsWs79ff3d7byDQ0NNVu3bjXGXG21EBAQkKEyX331VeNwOEyuXLnS3fe4o0iRIs7gvHLlymb27NnGGGPWrVuX4Xq1bdvWlClTxvj7+5uvvvrK4/mnTZtmli1b5nLAXblypVm+fLnHLbnatGljRowYkWb4u+++a5555hmPysqbN6/zhkPx4sWdJ0e//PKL22HNjRw8eND4+/vfcLprg8OUT7FixUxkZGSGQsW2bdua6tWrm6ioKOPv7+9sZfj111+bChUq3HD+1AGNna0UfX19030K6sCBA8717u6/QbFixZyhYuoWDDNmzDAPP/ywLfX19NiaYsqUKaZixYrG29vbeHt7m4oVK5qPPvrI43JSLgwOHTpkypcvbyIiIkxcXFyGQvSKFSumu2/58ccfndvE0qVLTbFixW5Yll0hhJ1hRsGCBZ3bVpkyZZwXrHv37nXrd5ianTfhjbl6A2PAgAEmKirKdOzY0flx54ZFCj8/v3QDqV27dnm8fOXLl3fuz1Mv39ixYz0+3tt5QzIoKMjs3r07Tb3WrFljChUq5FYZKduPw+EwxYoVc9mm7r77btO4cWNneHwry7qRWbNmmccff9zt6a8NDc6fP+8MXdzZN3Tu3Nn4+PiYkiVLGi8vL1O8eHETHh6e7scTdp3DG5P5c+/U7HzC2K5AvkCBAmbXrl3GmKutH6tUqWKSkpLMp59+asqVK+dRnexoZPDrr7+aI0eOGIfDYTZv3uyyfo4fP24SExM9qtPMmTPNU089leGg5lp23GS7GTJ7vFi5cqVZsWKFcTgc5ssvv3Q5V163bp35448/Ml3HH3/80bz88ssmODjY7YZRdu//HnroIRMQEGBy585tqlevbqpXr27y5MljAgMDTa1atZytYFOOATfi4+OTbkOyffv2eXQz+OGHHzYDBw40xlz99/vll19MUlKSadWqlVtPErhj8+bNHt/Mf+655yw/HTt29KismjVrZqhBTnp8fX3TPRfZs2ePR+v9u+++M02bNs1QDw/Xeuutt2xt/GpM5hszpefixYtm1KhRxsfHx/mEQrt27czx48dvOG+nTp2cN10zy9/f37bcrkGDBs68IbVZs2Z51JDsscceM61atXI5ziQmJpqWLVuapk2b2lFVY4wxOe3pFAZWYmNjVbhw4TTDg4OD9eeff3pcXseOHfX00087+4RL6Z9u48aNzn5vMyMkJMT5oil37Nq1y9k/9eHDhyVJBQsWVMGCBbVr1y7ndDfq9ypFq1attGTJEr344ose1Dp9f/75Z7r9viUlJSkuLs7tclq3bq1XXnlFn332mRwOh5KTk7V27Vr17dvXrT7JUr9Eo1u3burTp49iY2NVuXJl5cqVy2XaG/X5uW3bNmcfgtu2bbOczt31naJdu3aKiorSa6+9pnvvvVeStHnzZr399tvOZVy1apVb/fGNHj1aJUuW1LFjxzRixAhnv2J//vmnXn75ZY/qlZycnGYdSVKuXLnS9Lt1rdT9bL3zzjvq37+/3n777XTXuyd9Hkv2badFixbVn3/+qeLFi+uuu+7SkiVLVL16dW3evFk+Pj4elXXmzBk9//zzWrZsmT788EOtWrVKjRs31ogRIzxe73Xr1tXSpUtVuXJltWrVSj169NDy5cu1dOnSNH0qpye9fnxbtGihNWvWqE2bNnI4HM5p3O3Ht1OnTpZ9KTZq1ChN32fXSt2/aoUKFfTWW29p5cqVLn2ir127Vn369HGrPinKli2r/fv3q2TJkqpatao+/PBDlSxZUpMmTUp333891/YNZ4zRn3/+qSFDhrj1Ms7Ro0enOzxHjhxau3at1q5dK+nq/sHd/rQnTJigQYMG6dixY/ryyy9VoEABSVffU9C2bdsbzh8UFKQjR46oUKFC+vXXX2/4u3VXsWLF9PHHH6fpX/3jjz9WsWLFJF3dNtx54fbp06edL+wJCAhw9un44IMP6qWXXrKlvp4eWyXrF3f36tVLR48e9ejF3SnHhLvuuksbNmzQ008/rRo1anjUN3SKw4cPp7vPDAgIcPZFWqZMGbfeiXLkyBHn/5v/66vY0+OXneVI0j333KPNmzerTJkyqlevnmJiYvTXX39p5syZli9JthIUFKQ///wzTR+u27ZtS/P+iht5/fXXNXToUNWsWTPdfoHdFRERocGDB2vGjBnOfjX/+ecfvf76687tzF29e/dW165ddfHiRRljtGnTJs2ZM0fDhg3TlClTPCrr/Pnzzv17vnz5dPLkSd19992qXLmyx310Nm7cWO+//74mT54s6eq2cO7cOQ0ePFiPPPKIW2WkbFP169fX/Pnz07wc0RPplZXZ7dTK/fffry5durg9/eDBg136f/X399f8+fM1ePBgrVmz5obzT548WS1atNChQ4fUvXt3de7cOc0LDTPCrnN4KfPn3qmlvFB0z549afrudzgcHr1w1K7j4YULF5zrfMmSJWrRooW8vLx0//3367fffvOorMcff1zz589Xv379XIZ//fXXeuyxx9wqI2UdpCxfeusq5bvcMXLkSB0+fFghISEqWbJkmn8/T/cPycnJ6fa3/Pvvv3u07Vq9SDf1+0GeeOIJ5c+f363yMnu8qFevniQ5z7l27tzp0k/xyZMn5XA41KxZM7fqk57cuXPLz89P3t7e+vvvv92ax859qSTnOv3kk0+c5yLx8fF6/vnn9eCDD6pz585q27atevXqpcWLF9+wvKpVq2r8+PFp3sMwfvx4Va1a1e16jRgxQg0bNtSWLVt0+fJl9e/fX7t379apU6fSvJMro3LmzKnjx497NE/jxo3TvLsuxbW/8xv54IMP9OqrryomJkaVKlXK1PV0+fLlnecK3t7ekqTLly9r2LBhHvXfXrNmTV28eFGlSpWSv79/mjp58n6xyZMna/bs2WmGV6xY0ZkHXU967/IoUqSI/P39VbduXW3atEmbNm2SlLEX4G7ZskVTp07V3LlzlTt3bvXt21dRUVH6/fff9frrr+uJJ55wlm9Vr9KlS2vQoEHasGFDusdDT+rVpEkTbdmyxZaXnq5fvz7da5KaNWvq+eefd7ucd955R3Xr1lXZsmWd7/9as2aN4uPjM/SeHiu8WPQmK1OmjAYPHqxnn33WZfjMmTM1ePDgDL1R/IsvvtDRo0fVqlUr59ujp0+frnz58rl9QnLt25FTwprhw4crMTFRP/74o8f1ssOwYcM0atQoPfroo5n+YTdr1kx//PGHpkyZ4gz6t27dqi5duqhIkSJuv7Dr8uXL6tq1q6ZNm6akpCTlzJlTiYmJioyM1LRp05QjR47rzn8zXzRrl6SkJA0fPlzjx493XpyEhoYqOjpar7zyinLkyKGjR4/Ky8vL7TeWZ/akWbp6onT27FnNmTNHYWFhkqQ//vhDkZGRypcvn+bPn28577UvHjTpvMTEk/We+gB0/vx5W7bTV199VQEBAXrttdc0b948PfvssypZsqSOHj2qXr16efQCxiJFiig8PFwzZ850noDPmzdPL7/8su6//34tXLjQ7bJOnz6tixcvKiwsTMnJyRoxYoTWrVunMmXKaNCgQTc8AXb3JTyebPNeXl6Ki4tTcHCwy/DffvtNFSpUuOELSt19KZKnLyX63//+p8TERD333HPaunWrmjZtqlOnTsnb21vTp0/XM88843ZZ6b0s0xijYsWKae7cuR4HXHZZvXq1PvzwQ/3yyy/6/PPPVaRIEc2YMUOlSpXSgw8+eN15u3TpohkzZqhw4cI6evSoihYtarnP9GS9f/PNN2rVqpXKlSvnvPG3ZcsW7d27V1988YUee+wxTZw4UQcPHtSoUaOuW1aVKlU0btw41atXT40aNVK1atX03nvvaezYsRoxYoR+//13t+tl57HVzhd3X/uCt+TkZPXs2VMTJ060DBSsPPjgg8qbN69mzJjh/D2ePHnS+aLg1atX64cfflDXrl3dunHw8ccfa/To0Tp48KCkq+dNPXv29Oik2c5ytmzZor///lv169fXiRMn1L59e61bt0533323pkyZomrVqrldVt++fbVx40Z99tlnuvvuu/XTTz8pLi5O7du3V/v27W/4wqvUChcurBEjRqhdu3YeLc+1du7cqaZNm+rSpUvOgODnn3+Wj4+PlixZ4vbL61LMmjVLQ4YMcTakKFKkiIYMGaKoqCiPyrn33nv15ptvqkmTJnr88ccVFBSkYcOGaezYsfr888+d5bvj999/V5MmTWSM0cGDB1WzZk0dPHhQBQoU0Jo1a9LcjL2WVTiWnhvtX65l13aann/++UcDBgzQ999/7/ZNu2HDhikkJESdOnVyGT516lSdPHnyhqFBaqlfdplZdp3DS+mfk2T03PuXX37Rk08+qZ07d7qc26ccuz09j1+2bJmWLVuW5qVsDodDH3/8sVtlVKlSRc8//7yefPJJVapUSYsWLVJERIS2bt2qRx99VLGxsdedP/X5bUJCgt577z3Vrl073UYGAwcOdHvZjhw5oieffFI7duzI1Lp6/fXXrzvek/2oJD399NMKCgrS5MmTlTdvXu3YsUPBwcF64oknVLx4cbdfxFq/fn399NNPSkpKUtmyZSVJBw4cUI4cOVSuXDnt379fDodDP/74oypUqHDD8uw6XixevFjt2rVL9xwhI9eaR44c0ezZszV79mzt379f9erVU9u2bfXUU08pMDDwuvP27t1bb7zxhnLnzq1evXpd96ahu/vSIkWKaOnSpWnW6e7du9W4cWP98ccf+umnn9S4cWO3zpNWr16tRx55RMWLF3dpsHDs2DF99913ziDOHfHx8Ro/frx+/vlnnTt3TtWrV1fXrl09blRz7f4t5Vxy/PjxKlasmL7//nu3ywoKCtKcOXP08MMPuwzv3bu35syZ41GjzoMHD6pt27ZpblxlZF+6adMmNWvWTMYY543MlHPoBQsW6L777nOrnEaNGuno0aOKiopK98WiN2pklZqvr6/27t2b5prxl19+UYUKFXTx4sXrzn+zrjVHjRqlTz75RPv27dOjjz6q559/Xo888ojLse33339XyZIl0735fLPq9fHHH2vo0KHq2LFjunmIJ5lP2bJl9cQTT2jEiBEuw/v376+vv/7ao4ZIx48f14QJE7R9+3b5+fmpSpUqio6OdvuGpjsI0W+yESNGaMSIEXr33XedLTiXLVum/v37q0+fPhowYIBH5d2o5Zm7bw22Cnbvv/9+TZ069bqt2lu0aKFp06YpICBALVq0uO735MmTR5UqVdILL7xwwwOtdP0fuac/7JMnT6pDhw5atGiR80d95coVNW3aVJ988olCQkLcLkuSjh07pp07d+rcuXO655573GoZKsmjViCetGCx0z///CNjjPz9/ZWQkKBff/1Vy5YtU4UKFdSkSROPyvrll1/UokUL7dy5U1LaVoGeHGCPHTumxx9/XLt373a2Lj169KgqV66sb7755rqB/qpVq5z//+uvv6pYsWJpwrvk5GQdPXrUrQPszToApbZhwwZnWO1pS5E33ngj3bfI//777+rYsaOWLl3qdlkNGjRQvXr10pywnzlzRi1bttTy5cs9qltmpIQZY8aMUefOneXv7+8cl5SUpI0bNzpbWmcHFy5c0L59+1S8eHEVLFjQo3lTb7PS1f10cHCwSpcurZw5b/zgmLvBj8Ph0MiRI92a9osvvlC7du0UGRmpmTNnas+ePSpVqpTGjx+v7777Tt99990Ny1i0aJGzleLQoUMtA5YePXq4VacUv/76qz788EPniVXZsmX1wgsvqGTJkh6VM3r0aOXIkUPdu3fXDz/84Dypv3LlikaNGuVRvTJzbL1WUFCQs0V0agcOHNB9992ns2fPul3W9OnT1bp16zRPuEybNk2rV6/W1KlT3S5r//79euKJJ3TkyBGX/fJdd92lr7/+Wnfffbe++uor/f333zcMfK1a248fP169evVyu7W9XeVIrsdD6ep2Nn/+/AwdDzN7Ez61AgUKaNOmTbrrrrs8qkN6Lly4oFmzZmnfvn2SrrYIi4yMlJ+fn0flpF5XFy5c0K5du7R27doMrSs7b0hKUmJioubNm+cSZri7jPXr13frOxwOh0fHw8GDB2vkyJG2bKf58uVL01Dg77//lp+fn2bNmuX2xWvJkiU1e/ZsPfDAAy7DN27cqNatW7s85XEr2XkOf6PzcE/OvZs1a6YcOXJoypQpCg8P18aNG3X69Gn16dNH7733nkeB242eLrleQ5HUPv/8c7Vt21ZJSUlq2LChlixZIunqDZLVq1ffMHC7Wee3dq2r559/XpGRkW7/Lm8kszfZUrz//vtas2bNDVtE//PPP261iLbreFGmTBk1btxYMTExHl/rXuv+++/X5s2bVaVKFUVGRqpNmzYePUWVuvX59f79PNmX5smTRwsWLNBDDz3kMnzlypVq1qyZ/v77b/3yyy+qVq1amic8r5WyTxk8eLCWLFmivXv3Srp6THz55ZedDbjctWbNGk2aNMml0UlK46YbNTpJ7dprOYfDoeDgYDVo0EAjR470KJRfuHChIiMjtWDBAmcdunXrpi+++ELLly/36Lz0vvvuU86cOdWjR490A+uUpyHcdf78+TTnIm3btlXu3LndLsPf31/r16/36KkBKzej8auU+Scky5Qpo06dOum5556z/Le/fPmy5syZ49FNg8y6XqM5T2+qfPfdd2rZsqVKly6tWrVqSbp6o+XAgQP68ssv3X6KULLvd3g9hOg3mTFGr776qsaOHetskevr66tXXnnF7cA7tXvuucfl7ytXrujIkSPKmTOn7rrrLrcfabv2hDIlrEl5tPd6Urc06dix43WnvXTpktavX+8MPbPCwYMHnQfFcuXK6e67777hPDerFZKdLX7s1LhxY7Vo0UIvvviizp49q3LlyilXrlz666+/NGrUKI+6NLj2pHnTpk06depUhi4wpKu/oWXLlrmc2KR0Y+SuHDlyWHYFUqhQoUw9AZCZA6Pd28PFixe1Y8eONC2ajDF64okn3C7Hy8tLBQoUUO3atTVr1iznyUxcXJzCwsJuaUurlJPuVatWKSIiwvnInyR5e3urZMmS6tu3r9s3tSR7H8G9GfuKjD7Fce0Fyk8//aTExMQ0LaRq1Kjh9sXKPffco169eql9+/bKmzevfv75Z5UqVUrbtm3Tww8/fMMWbqnZ2UpRunknSb/99pu2bt2q0qVLe/SY/5UrV9SkSRNNmjTJGVZ7cmy9Vrdu3ZQrV640203fvn31zz//aMKECR6VZ/U7lORRiC5dvQG5dOlSlxsY//nPf9x+CiWFXa3t7Wy1b+fxMEVGb8Kn9sorryhPnjwaNGiQx/OmZudx52asK+nqMeuff/7J8A3JFHY8EWcnO7fTadOmuZx3pOxratWq5VY3Viky2/LuZsvIOfy17NzmCxYsqOXLl6tKlSoKDAzUpk2bVLZsWS1fvlx9+vS5bleL17Lr6RLpavehf/75p6pWrercD2/atEkBAQG2dPeZEXatqyeeeEKLFy9WcHCw2rRpo8jIyEwFZnPmzFGrVq00d+5c7dixw+UmW0xMjN599123yrG7RXSKlOPF+fPndc8996h06dIeLV9AQIC2bdtmyw3X//73v4qMjHSrJf2tEhkZqfXr12vkyJEuXZD27dtXDzzwgGbOnKm5c+fqvffe05YtW25YXnBwsLMBU2bY0ejkZpk9e7aio6O1dOlSffzxx/r666+1YsUKj/en/v7+2rZtm/O6wg6ZPU5Xr15dH3zwge6///5M18Xuxq92PnlmdY0veXZOY3c3VHY6duyYJk2a5JL5vPjii84GO+64Vb9DQvRb5Ny5c9q7d6/8/PxUpkwZj/s7vp6EhAQ999xzevLJJz06EbPzgvp69uzZo3vvvdeyu4XUj3pdL5Byp/Wku2VJ1w+0bkYYJWXfFj8FCxZ09nk+ZcoUjRs3Ttu2bdMXX3yhmJgY587M3bLsusCQ7NlOM9sVSHrsODDauT0sXrxYzz77rE6dOpVmnKd3g728vLRt2za98MILOn/+vL799luVLFkyQyG6XS2tOnbsqDFjxnjcf3167HwEN6Ws9PYPKY+gS+61skl5iiOzjz5LV/dvK1eudHb1JV19kqBjx46qU6eO232/+/v7a8+ePSpZsqRLiJ7VAYudJ0l2PeElXb0YW79+vccXvenp1q2bZsyYoWLFijkvDjZu3KijR4+qffv2Lo9N3ugGzfV+hw6HQ19++aVHdbPr/MGu1vZ2ttrP7PHQrvOQa/Xo0UMzZsxQlSpVVKVKlTSPzbpblp3HHTvPHST7LjjT63Ij9TafVV3n2bmdSvZcVN+slncZcbN+O3Zu8/ny5dNPP/2k8PBw3XXXXZoyZYrq16+vw4cPq3Llyrpw4YLbZdn5dElm3Iyn2CR719WZM2f02Wefafbs2VqzZo3KlSunyMhItW3b1uOnz+zq3sLOFtEp7NgHdurUSbVr1/a4S60UN7M7KzucO3dOvXr10owZM5xdV+TMmVMdOnTQ6NGjlTt3bm3fvl2S3Op+rVevXvLx8fGoC830ZLbRyc1e7x988IF69+6t4OBgrVixIkPnqXXr1lVMTIzHjdnSY9dxesmSJXr99df11ltvZfq9Z3Y2frXzCUk7u2iyuxsqO7okS2HHOY2djb+uhxeL3iJ58uRx3i21W0BAgF5//XU1a9bM7RDdrhdUuaNs2bLXfaGGnS/LtKus1C8eGDVqlPLmzWsZRnnC7hfN2sXOlxIlJSU5yypYsKCOHz+usmXLqkSJEh6/WC+z22nKCYnD4dCgQYPS7QrEk/5tU9j1wj87t4fo6Gg9/fTTtjy+KV1tIbVq1Sp17NhR9957rz777DOPXvSSYtKkSZo2bVqmW1q520elO+x8KVGzZs2uu3/w5EWlPXr0UMmSJfXDDz+k++izJ0aOHKklS5a4tEjMly+f3nz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",
      "text/plain": [
       "<Figure size 1500x4000 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create countplots for categorical variables\n",
    "fig, axes = plt.subplots(5, 1, figsize=(15, 40))\n",
    "axes = axes.ravel()\n",
    "\n",
    "for idx, col in enumerate(categorical):\n",
    "    sns.countplot(data=df, x=col, ax=axes[idx])\n",
    "    axes[idx].set_title(f'Count of {col}')\n",
    "    axes[idx].tick_params(axis='x', rotation=90)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='salary_in_usd', ylabel='Count'>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Distribution of the target variable salary_in_usd\n",
    "sns.histplot(df.salary_in_usd)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='salary_in_usd', ylabel='Count'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(np.log1p(df.salary_in_usd))\n",
    "# It's closer to a normal distribution now"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create correlation matrix heatmap\n",
    "plt.figure(figsize=(8, 4))\n",
    "correlation_matrix = df[numerical].corr()\n",
    "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', center=0)\n",
    "plt.title('Correlation Matrix of Numerical Variables')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The correlation between work_year and remote_ratio is very low, so we can keep both variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8862 2955 2955\n"
     ]
    }
   ],
   "source": [
    "# Split the data into training, validation, and test sets\n",
    "seed = 42\n",
    "df_full_train, df_test = train_test_split(df, test_size=0.2, random_state=seed)\n",
    "df_train, df_val = train_test_split(df_full_train, test_size=0.25, random_state=seed)\n",
    "print(len(df_train), len(df_val), len(df_test))\n",
    "\n",
    "df_train = df_train.reset_index(drop=True)\n",
    "df_val = df_val.reset_index(drop=True)\n",
    "df_test = df_test.reset_index(drop=True)\n",
    "\n",
    "y_train = np.log1p(df_train.salary_in_usd.values)\n",
    "y_val = np.log1p(df_val.salary_in_usd.values)\n",
    "y_test = np.log1p(df_test.salary_in_usd.values)\n",
    "\n",
    "del df_train['salary_in_usd']\n",
    "del df_val['salary_in_usd']\n",
    "del df_test['salary_in_usd']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Prepare the data\n",
    "dv = DictVectorizer(sparse=False)\n",
    "\n",
    "train_dict = df_train.to_dict(orient='records')\n",
    "val_dict = df_val.to_dict(orient='records')\n",
    "test_dict = df_test.to_dict(orient='records')\n",
    "\n",
    "X_train = dv.fit_transform(train_dict)\n",
    "X_val = dv.transform(val_dict)\n",
    "X_test = dv.transform(test_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train_regressor(model, X_train, y_train, X_val, y_val, param_grids={}):\n",
    "    grid_search = GridSearchCV(model, param_grids, cv=5, scoring='neg_mean_squared_error')\n",
    "    grid_search.fit(X_train, y_train)\n",
    "    best_model = grid_search.best_estimator_\n",
    "\n",
    "    y_pred = best_model.predict(X_val)\n",
    "    mse = mean_squared_error(y_val, y_pred)\n",
    "    rmse = np.sqrt(mse)\n",
    "    mae = mean_absolute_error(y_val, y_pred)\n",
    "    r2 = r2_score(y_val, y_pred)\n",
    "\n",
    "    print(f'Best Parameters: {grid_search.best_params_}')\n",
    "    print(f'Mean Squared Error (MSE): {mse}')\n",
    "    print(f'Root Mean Squared Error (RMSE): {rmse}')\n",
    "    print(f'Mean Absolute Error (MAE): {mae}')\n",
    "    print(f'R-squared: {r2}')\n",
    "\n",
    "    return best_model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Linear Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Parameters: {}\n",
      "Mean Squared Error (MSE): 1613313031996169.0\n",
      "Root Mean Squared Error (RMSE): 40166068.16700097\n",
      "Mean Absolute Error (MAE): 2240077.132962763\n",
      "R-squared: -6988948048678992.0\n"
     ]
    }
   ],
   "source": [
    "linear_regressor = LinearRegression()\n",
    "best_linear_regressor = train_regressor(linear_regressor, X_train, y_train, X_val, y_val)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ridge Regression\n",
    "Error values of Linear Regression are too big, indicating that the model overfits. Therefore, we'll use Ridge Regression which uses L2 regularization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Parameters: {'alpha': 1.0}\n",
      "Mean Squared Error (MSE): 0.12111035483485162\n",
      "Root Mean Squared Error (RMSE): 0.34800913039006837\n",
      "Mean Absolute Error (MAE): 0.27431781439696534\n",
      "R-squared: 0.47534423803013903\n"
     ]
    }
   ],
   "source": [
    "ridge_regressor = Ridge()\n",
    "param_grids = {\n",
    "    'alpha': [0.1, 1.0, 10.0, 100.0]\n",
    "}\n",
    "best_ridge_regressor = train_regressor(ridge_regressor, X_train, y_train, X_val, y_val, param_grids)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Decision Tree Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Parameters: {'max_depth': 30, 'min_samples_split': 20}\n",
      "Mean Squared Error (MSE): 0.1254345569508577\n",
      "Root Mean Squared Error (RMSE): 0.35416741373375626\n",
      "Mean Absolute Error (MAE): 0.27723830819218637\n",
      "R-squared: 0.45661159077484426\n"
     ]
    }
   ],
   "source": [
    "decision_tree_regressor = DecisionTreeRegressor()\n",
    "param_grids = {\n",
    "    'max_depth': [None, 10, 20, 30, 40],\n",
    "    'min_samples_split': [2, 10, 20]\n",
    "}\n",
    "best_decision_tree_regressor = train_regressor(decision_tree_regressor, X_train, y_train, X_val, y_val, param_grids)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Random Forest Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Parameters: {'max_depth': 40, 'min_samples_split': 20, 'n_estimators': 50}\n",
      "Mean Squared Error (MSE): 0.1198561558343519\n",
      "Root Mean Squared Error (RMSE): 0.3462024780881152\n",
      "Mean Absolute Error (MAE): 0.27124060806095684\n",
      "R-squared: 0.4807774871785402\n"
     ]
    }
   ],
   "source": [
    "random_forest_regressor = RandomForestRegressor()\n",
    "param_grids = {\n",
    "        'n_estimators': [10, 50, 100],\n",
    "        'max_depth': [None, 10, 20, 30, 40],\n",
    "        'min_samples_split': [2, 10, 20]\n",
    "    }\n",
    "best_random_forest_regressor = train_regressor(random_forest_regressor, X_train, y_train, X_val, y_val, param_grids)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Best Model\n",
    "Based on the error values above and the R2 scores whose best possible score is 1.0, the best model is obtained with the Random Forest Regression. Hence, we'll use it for testing. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Testing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = best_random_forest_regressor.predict(X_test) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Visualize the test data and the regression line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LnlvOKCh0DAXDMIyjGyE3hYWFUKlUKCgooLXACCEuIyUjBy+sS4PhH332VrvymbY2C0QceW45o6BQWmLu35QDRAghbqBazWDBL+eNAhAA2m0LfjmParX034kdeW45Y4NC3eAHAHILyvDCujSkZOQ4qGXugQIgQghxA8ez7hndaHUxAHIKynA8655LnVuuKCh0PAqACCHEDdwp4g9ALNnPWc4tVxQUOh4FQIQQ4gZqB/pKup+znFuuKCh0PAqACCHEDXSMDUWkyhd8c4sU0CTfdowNdalzyxUFhY5HARAhhLgBTw8F5g+JAwCjQIT9ef6QOJtMv3bkueWKgkLHowCIEELcxIAWkVj5TFtEqPR7FSJUvjafhu7Ic8sRBYWOR3WAOFAdIEKIK6NK0PJBdYCkJeb+TQEQBwqACCGE2AsFhdIRc/+mpTAIIYQQB/L0UKBLwzBHN8PtUA4QIYQQQtwOBUCEEEIIcTsUABFCCCHE7VAARAghhBC3QwEQIYQQQtwOBUCEEEIIcTsUABFCCCHE7VAARAghhBC3QwEQIYQQQtwOBUCEEEIIsZ8HADYDKHVsMygAIoQQQojtlQBoAyAEwAgAyQ5tDQVAhBBCCLGhCgB9AdQAkK6zfYRDWqNFARAhhBBCpFcNYCQAJYC9OtsbAygA0NkRjXqEAiBCCCGESIcB8AIALwA/6mwPBXAHwN8AghzQLgMUABFCCCFEGm9AE1msMth+DUA+gFp2bxEvCoAIIYQQYp2PASgAvGew/SI0PUL17N4is7wc3QBCCCGEOKmvAUzm2J4GzYwvGaMAiBBCCCHi/AzgKY7tBwD0sHNbLEQBECGEEEKE2Q0giWP7dgCD7NwWK1EOECGEEEJMOwpNjo9h8LMemhwfJwt+AAqACCGEEMLnLDSBTxeD7SuhCXxG271FkqEAiBBCCCH6rkAT+LQy2P4eNIHP83ZvkeQoB4gQQohTqVYzOJ51D3eKylA70BcdY0Ph6aFwdLNcwy0AsdAsX6HrFQAfQBMUuQiH9gAdOHAAQ4YMQVRUFBQKBbZs2aJ9rLKyEnPmzEHLli0REBCAqKgoPPvss7h165bJYyYnJ0OhUOj9a9asmY2vhBBCiD2kZOSg++K9GL36KGZsSMfo1UfRffFepGTkOLppzu0egCgAdaAf/EyCZkmLD+FSwQ/g4ACopKQECQkJWLFihdFjpaWlSEtLw7x585CWloZNmzbh4sWLGDp0qNnjxsfHIycnR/vv0KFDtmg+IYQQO0rJyMEL69KQU1Cmtz23oAwvrEujIMgSxQBaAggDoPvyDQNQCeAruGyyjEOHwAYOHIiBAwdyPqZSqbBr1y69bcuXL0fHjh1x7do11K9fn/e4Xl5eiIiIkLSthBBCHKdazWDBL+fBcDzGQNM5seCX80iKi6DhMCHKAfSDpm6Pru4AdgHwtXuL7M6p4rqCggIoFAoEBweb3O/SpUuIiopCgwYNMHbsWFy7ds0+DSSEEGITx7PuGfX86GIA5BSU4XjWPfs1yhlVARgBTYCjG/zEASgEcBBuEfwATpQEXVZWhjlz5mD06NEICuJfRrZTp05Yu3YtmjZtipycHCxYsAA9evRARkYGAgMDOZ9TXl6O8vJy7c+FhYWSt58QQojl7hTxBz+W7Od2GABTAXxpsD0cwDlohsDcjFMEQJWVlRg5ciQYhsHKlStN7qs7pNaqVSt06tQJ0dHR+OGHHzB5MteCJcCiRYuwYMECSdtMCCFEOrUDhXVLCN3PbTAAXodmBpcuLwDZ0CQ9uynZD4Gxwc/Vq1exa9cuk70/XIKDg9GkSRNcvnyZd5+5c+eioKBA++/69evWNpsQQoiEOsaGIlLlyzsRSQEgUqWZEk/+8QE0d3nD4OcSNAnObhz8ADIPgNjg59KlS9i9ezfCwsT30RUXFyMzMxORkZG8+yiVSgQFBen9I4QQIh+eHgrMHxIHwHg2Nvvz/CFxlAANAF9A86LMMdieDk2PUCN7N0ieHBoAFRcXIz09Henp6QCArKwspKen49q1a6isrMRTTz2FkydP4rvvvkN1dTVyc3ORm5uLiopHRQr69u2L5cuXa39+5ZVX8McffyA7OxtHjhzB8OHD4enpidGjnbheNyGEEAxoEYmVz7RFhEp/mCtC5YuVz7TFgBb8X3Tdwg/QBD7PGWw/DE3gk2D3FsmaQ3OATp48id69e2t/nj17NgBg/PjxSE5OxrZt2wAArVu31nvevn370KtXLwBAZmYm8vLytI/duHEDo0ePRn5+PmrVqoXu3bvj6NGjqFWrlm0vhhBiE1T1131xvfcDWkQiKS6CPhO6fgMwgGN7CoD+dm6LE1EwDMNVVsGtFRYWQqVSoaCggIbDCHGglIwcLPjlvN7050iVL+YPiaNv+y6O3nsBDkNTt8fQDwD+Zee2yISY+7esc4AIIe6Lqv4KU61mkJqZj63pN5GamY9qtfN/p6X33ozT0Ax1GQY/X0Az1OWmwY9YTjENnhDiXqjqrzCu2EtC770JlwE05tj+AYBX7dwWF0A9QIQQ2aGqv+a5ai8JvfccbgLwhHHw8zoANSj4sRD1ABFCZEcOVX/lnHwtl14Soa+RmNdSzHtveNyWdVRYnHIB2fmliAnzx/8NioOfj6fFbXG4PGiWqLhrsH0qgFVwudXZ7Y0CIEKI7Di66q/ch5bE9JJ0jA21yQ1f6Gsk9rUU+p5m55Wi++K9vK/DwUvAt0evISmuNlY/28GitjhMEYCOAP4y2P4kgI3Q9AYRq9EsMA40C4wQx6pWM+i+eC9yC8o4ezkU0NR+OTSnj+Tf3tmhJcPzsmexZb0Zob0TW9NvYsaGdLPHG98lGr+fvy35DV/oa2RqPwbAwBbhaFgrEF0ahqFzgzB4eigEvfcqf28UlFZyPs4lKa42nmxbl7MtrM/GtMGgVlECj2gjZQD6AjhisL03gJ0AlHZvkdMRc/+mAIgDBUCEOB578wSgd9OyZSDC3nz5ehVsHXgJ7Z1IzczH6NVHLTqPta+f0Nfoj1d7o+eH+0z2VOkK9vfG+yNa6gVOgPF7z/yz74PSSlHtrl3DG3eK+Z/joQCWj26LQa0c0BPErtD+i8H2VtAEQwF2b5HTomnwhBCn54iqv45KwBWb0GxuXSxT2IBiwS/nRU2ZZ6fbL9l1UdBrtPDXc4KDHwB4UFqJ5/+51qS4CMxMbAyVn7fePhEqX8xKbCw6+AFgMvgBADUDTFtv5+RxNYCJALyhH/zUBXAPmunuFPzYDOUAEUJky95Vfx2RfG1JQjO7LhbbSyKWbiDXpaH5NRa5eqfM+fboNYva9vqms0jedh65hY/OFeznjYndYjG9TyP8euaWRccVyi5T7BkArwD42GC7H4BMADJKR3JlFAARQhzKXN6Lp4dC0E1aCtYmX1syw0hMr5Pu68D2kL360xkUlVUJarch3SCDD18ej61oenf0e2sePKzE0t1/o2lEDZslvrPEBIYWeQ/AGxzbrwCItc0pCTcKgAghDiO3WTns0JK55OuOsaFGj1l6LZb0OrGBVnmVGp1jQ7Hrwh1BxzD05uYz8PP24G2fqd4pe2MAvPzDaax6ph0igpS4XVhus3bZpLzCSgDTOLZnAIiX/nTEPMoBIoQ4hBwL+bFDS4BxiRX25/lD4ox6day5FrG9TikZOei+eC9Grz6KGRvSLQ5+AKCkQq3Nu+FirnfK3koqqjHu6+Moq1JrhweFaFFH3GQWSXuZvoemoYbBzzFoojoKfhyGAiBCiN2Zy3sBxCfpSkVs8rW112IuoVkBTU9Sx9hQ3kDLWsnbzmnbp7u22OHLhhX45KFARBJ0UlxtvDEoTvD+kTw9fKLtgObNG2OwfTc0H4yO1p+CWIeGwAghdmdp3ou9iEm+tvZahCQ0s71SthqOyi0sx/Gseyh4WCE62dkRGIP/GmoeEYj2MSHaStDVasbk0CZLAe4ePlEOAniMY/smAMMtPyyRHgVAhBCrWJL4K4elLszRTb42dY3WLN3AHmdAi0gkxtXGrvPGw1mJcbUxoEUkUjPzbRqY7D6fi68PZ8si38daf98uQp0QP22vlm6QydYSMhTi741F/9QhskgagHYc29cAmMD9lIoqNb5NzcbVe6WIDvXHuC4x8PFyrYEZOS89QgEQIcRilib+Cs2xqFnD8aVvzV2j0GvJuluM9u/swn2d4ZuIIF+M7lgfp2/cx96/uIebdp2/g4W/nkdcRKB1F2LGhpPXXSL4AYBqBth94Q5aJP+GVnWDsG16D+3QpuF7GeTriZiwAAT6eePw5Tz0bFLbaP0wwMSN/G8ATTka8TGAWfxtXLTjPD4/kKW3beH2C3jusVjMFTFkJ2dym+RgiCpBc6BK0ISYZ82SEeaWO2BFBCmRPDTe7B9LW33LFHKNSXERZq+Fr9eB2AcbBAH6n5X/pWbjz6sPjPbXXT8M4L6RJzAqbP2gu/HJ5gF423R7uIIfXa4QBDlqSRmqBE0IsSlrE39NzbbSdbuw3OwsKsNZUaNXH0X3xXutnkUm9BqBRzk6fCj4cawzNwpR/E+tJHZo89cztziDH0DT6zblfycAGM/wCy31weml/YyDnxehqexsJvipqFKbDH4A4PMDWaioUpu7LNmS8yQHXRQAEUJEk2LJCHZIIjyIfwiJ64+l7iylZbsvST6VXuySD8ez7mFAi0isGNMWMkltIBxmbTyl/f+HFdWc+Va6dp2/g+KyKu2NPLDcC/s/74W0T5OgKn+0RMfvrXJRXcEAywEo9D+fqZn5Rjf5rw5dEdReofvJkaOWlBGLcoAIIaJJlcQ8oEUkApXeGPvVMd59dP9YCp2lxLeEhDmWLPnAXmNIgA8c/IWWmHDt/kPt/7+347yg58zaeAr38iqw5fuuaJ0TovfYgZi7mPzUCVR6Mvj+Wmd0aRgmKOdl86mbgs797ZGreKFXI0H7yo0zTHIAKAAihFjA2iUjdOWVlAs61q7zuVgjYpaSJetdWbLkA3uNjv5j7spUfl4oeGjZch8sRq1GRZUaPl4eyM4vNbu/V7UCU99viNV/ddDbfibiAUaOSUWZ96MhqjtFZbyfH7Y3ks15qawWNrR1q1BzTDkkC4sl5d8HW6IhMEKIaPdLKkwO9+gW7zNH6B/BLem3LMqlERKYWLLkg+E1OvqPuSsK9vfGqmfaYvGTraCA8MrPXP6+U4Jm83Zi0Y7ziAnz591PwQBLfmmNyx8NQoe/Hn1+r6tK0WrGbxg6/rBe8AMANQOUgnNeusYKr2slhzwZS4gp7ulIFAARQkRJycjBi+vTzA73CC0oJ+SPZWiAN+6VVIhuK8AdmBjmaRwVWWOHndXVup4KS3b9jcOX89AuOsTkdciNv7d8W1pD6YWZfRvjzzeTMKBFpKB8MSHUjCbB2MuT49oZYP7uOGR9MBjDz9fRbi5WVqHD9F3o8fw+FPrq90KxN3IoICjnZe3hLMwdLHx2lxzyZCxh6ZIy9kZDYIQQwYT0lHgogOWj2wjuujdVpI798zi8dR18dThbVFv5Fi7lytMI9vOGJXZm3AZwG8v3XUawvzc6xITIvooyq7RSvj0LxeVV2HjyOppFBhp8jqRp8zdHrqJvs9rY85cmEXrGocaYdbiJ8Y7ZwKGiu8hbV8H72Zw/JA55xcKGcRduv4AvD2WhVd0gnLlRKOg5zjq0yld3KUJGdYAoACKECCZkcUw1A4QEiCtgaO6PpcrPR1QAxPctky9P48FDYWtLDWwRgZ0ZuZy34QellWZnFhHhcnRyZwBYlJ/FR80AXRuGIXFPbYxeF230+LxFZ7Hw9ZYAgAEwfyNPzcwXfO7cgjLkFpShQS1/XLlrPhfJmYdWxSwp4wgUABFCBLPl7A5TfyyFruXE4vqWaUmeD4vtTUq76nzDEc6MgWahVkAhaS2l4Rl1MHlxA6PtKz+8jAn/icVCn5Z6283dyNlhXCGfT3aGYml5NWoFeONuCXfwzdeD6Wx0l5SRGwqACCGC2Xp2B98fS3PDZAyAWYmNEVMzgPdbppDeKy7sUUZ1qI8lu/8W/XxindxCYcNLQiReqo0vN3UwfmAfgF7AC+Cfdm7qRi5krTFdDDTXNSuxCZb+85niG16TS2+JK6IkaEKIYI6c3cEOk0Wo9IOrCJUvVj3TFjMSm2BY6zram5RhMTqhvVKG+UARKl+sfKYtYmryzxwi8tb5WiiyFw82Dn62QhN59LL+HHyfT1NiavrzfqZttVQEeYR6gAghgglJWLblt1YhOQV8xehGdagn6BwrxraFh0JhdHwxeR5EHlrmqPDL/4zX69r28k0M/agOxzOsw34+1x7OwsLtF8zuXzvQF10ahsk6T8aVUQBEiBuyZvFQW87uENIuU0MRporRLdl9CcH+3nhQajrnAgxwp9g4B0nNMFD5eqGgzLqCfERa7KdD9z1vmFcDe77qabTv/MRzuDG2BP/u0RAVVWr8efU+7hSVoWaAElAAecXlVgcgnh4KTOgWiy8PZZnMCYpU+aJddAhSM/M1baihRM0AJe4Uaaa+UxBke7QaPAdaDZ64MiHl+oWQegV2a9vFrjBvKs+HLz+D3W4YIEWqfDE0IRLbTuc4zfR2d6MAMPWxWHx+IAt1CvxweFUfo30+7n4RKx/LRGX1o3ffQwHeWlYRQUokD423Kpg3V1k8Ka42Mm4W8n6uzH32pf79cxVi7t8UAHGgAIi4Kr4/yuyfTVvnHfD90RbTLr5jpGbmY/Tqoxa1K0DpiZLyassvjDiEpwJoGx2MXqramDK5IXwe6qe1ft0uC2/3PW9xCelVVv4+LNpx3uzK73xM/U5K9SXGFYm5f9MQGCFuwtQ0cEsXDxWD74/2vMFxWLjddLuSt51DoK839l64jc3pN3GvRL+XZv6QOKsq5lLw45wCHnphyZw2qFuon6C+Kf4GXh58GoyVH+PXN53V+32oqFLj29RsXL1XiuhQf4zrEgMfL+65RNVqBttO51h8br7fSaFrjhHzqAeIA/UAEVcktIfk+ymdJa/bYaqHx9o/QFIcgzgX30oP/PhdV7S8rdLbvrfBHUwdcRJVntJ9Ir6b3AndGtfEoh3nsfpglt6wmYcCmNIjFnMHGS9vYU2PpCH2d9LcMC+bx3ZoTh+3HQ6jHiBCiBFbFjE0xVzPk7Uo+HEf3tUKfP1jB/S4Wktv+6nI+xg1+ijKvYWttC5G6pU8HLh0h3Moi11bDIBRECTl7xF7LHO1rNg1x45n3ZNt8UE5oQCIEDdh6yKGfCwtQEgIy0MNLPulDYb8FaW3PSukBEPHH0KR0nYz89RqYPVB03k8qw9m4eV+zfSGw6T8PWKP5agvMa6KAiBC3IS5cv22Kr1Pf4yJxRjg7V3xePZUjN7m+74V6DvlD9zzr7B5EwrLKnlni7HUDPBtajYm93i0vIaY5TH4GP5OOupLjKuiStCEuAm2iCFgPCnGlkUMxfwxds+sBcJl9oEmyP5gsFHw0/WFPWgzY5ddgp8Qf2/BH8qr9/QXNjX1+yYE1++kIyuxuyIKgAhxI6aWk7DV7BGhf7Q/G9NG1DICxDVNOhGD7MWD8Z/Uxnrb+/x7P2LmbMetIPv1KC4a0RKxYQGC9o0ONV4qhe/3LVLli+cei0Wkic871++ko77EuCqaBcaBZoERV2fvImrsLDCAe/kM9g+9brtqBijx8o+ncbvQ8iEE4jyeOlsXH+1IMNo+eMJBnAsvtGtblF4eWDaqNQa0iERFlRrN5u00OQzmoQD+WjjQ5JR4rt83vc97DSXAAHkl5qtRUx0gflQI0UoUABEiPUv+aPMFTrrYY5y6dt/ionPEcfr/HY7PN7c32j5yTCqO17O8tpOl2kUH44fnuuoFH+YKGj73GPdUeFuiStDcKACyEgVAhNiGJX+0uQKnsAAfDGsdhaS4CL1j7DhzC29sycB9neUsVL5eSIoLx09pN21yTbGhfsi699Amx3ZlXbPDsH5jZ6PtE586gX0N79itHf4+nogO80f76BD836A4+Pl4cu4ntg4QcQwKgKxEARAh8iImcOLaFwC6L95r1YwcufLyAKqkL39jM61vBWPLt92Mtv9nyClsi7tltD3I1wv+Pp7ILSyXtB0Tu8agX3yEqJ4TMZWgiWNQAGQlCoAIkZYcuuuFDKc5m7b1VWhTLwRfHc52dFPManK3Bn7/2niF9jeTMrCu7VXO5wT5euFMcn9J3zvd/B7ieigAshIFQIRIx94Jm6YSTj/dcwlfHrqCYhdc+0uuS4LUfeCHQ58br9D+YY+LWNH1stF2Lw8g2M8bv770GCKCH82SSsnIQfK2cxb3BPl5e2BK9waYkdSEcmVcGAVAVqIAiBBuYocAzK0BNrBFOBrWCkSXhmHo3CCM98ake946wX5QMMCNgoeoG+wHBsDNBw8RHeqP8EBfLNx+DreLHtWICfL1RM8mtbD/4l0UuWDgI1e1ipU4+Hlv+Fbp59R80eEK3ut9wWxxnNAAHzzROgp9m4UDCiCvuBy5BWVYtPMv0W1JalYL4So/KBQK1A/1R7PwQNx7WCGoN7K4rAqzNp7CtfsPUS/ED2Pb10dhZZXe8KqjezfJIxQAWYkCIEKMiU0CNbdwo6Fgf2+8P6KlUa8Q13mJfKkeeiPl6x6ILPbT2/5ji+t4bdAZq1dol5qp3sihyw/izA3+KfjB/t4AgAc6Sfc0Hd2xKACyEgVAhOizZBqwpathj+tcH4NaRqFjbCg+SLlAU9udhF+FJzat64rmd/X/Zu5qlIvnh6eh2kOetxrDWlQsc8GP2OMR+6DV4AkhkqmoUlu0GKSla4B9e/Qavj16DeGBPrhTZPvlDoh1fKo88M2PHdHlmv7q4yfq3MMzo46h3EveU9QYaIKWBb+cR1JcBDw9FCguq7Io+OE7HpEnmr9HCDHp29RswYtB6rJ2QcbbRRWyTOolGh5q4LPNbfH3fwfqBT+XQ4sRPzMF/3omVfbBD4sBkFNQhuNZmsKLszaekvR4RJ6oB4gQYpLhIo9C95NiNWwiQwzw3m8tMOZ0tN7mu/7l6Df5D9z3r+R5ovyxvZbX7ktT2NLSXlBiHxQAEUJM4lrkUch+7MKNL6xLk+0UbSICA7x2oCmmHW2kt7lKoUb35/ch146LlNoK22tZP8QPF3OLJDsekSeHDoEdOHAAQ4YMQVRUFBQKBbZs2aJ9rLKyEnPmzEHLli0REBCAqKgoPPvss7h1y7hSqKEVK1YgJiYGvr6+6NSpE44fP27DqyDEtY3pFG1+J579+FbDJs5lyrEGyP5gsFHw02vKPjR6bafTBz8KaGZvsdPalzzdRtLjEXlyaABUUlKChIQErFixwuix0tJSpKWlYd68eUhLS8OmTZtw8eJFDB061OQxN27ciNmzZ2P+/PlIS0tDQkIC+vfvjzt37Le2DCGuJP36A6v2G9AiEofm9MH3UzpjcrcYydpFbO/p0/WQvXgw3tjfXG/7wIkHEDNnO7JDhQ2Pyh0DYP6QOG3Ccg1fL7Sqa9kMYDblmT1etZpBamY+tqbfRGpmPqqpnoNsyGYavEKhwObNm/HEE0/w7nPixAl07NgRV69eRf369Tn36dSpEzp06IDly5cDANRqNerVq4eXXnoJr7/+uqC20DR4Qh7Zmn4TMzakm91v2ajWGNa6jtn9dpzJwbT1aRK0jNjKoL8i8NnWdkbbnxx7BH/Wve+AFtneKo5p65ZMhY8IUiJ5aDwGtIi0exV0OeJbm89WxSNddhp8QUEBFAoFgoODOR+vqKjAn3/+iblz52q3eXh4IDExEampqbzHLS8vR3n5o/LqhYWWTX8kxBUJzWPQ3c/UchQhAT6Y2DUaa45wr/9EHKdHVk18+0Mno+3j/3UcfzS464AW2Q/XtPVt03uguKwKMzeewukbD3BXQFmGUR3qaYMfrirouQVleGFdmlvUCeIKAOVUPNJpAqCysjLMmTMHo0eP5o3q8vLyUF1djfDwcL3t4eHh+Osv/vLpixYtwoIFCyRtLyGuwtxsLgWACJ18B75vvUMTIrHtdI7gytDEftreDMamdcYrtL84NA3bm+c4oEX2x05b79JQv57Roct3ce5WoaDgBwDWHrmKab0bY8Ev5zl/X9ylThBfAKgb+LAcFRQ6RQBUWVmJkSNHgmEYrFy5UvLjz507F7Nnz9b+XFhYiHr16kl+HuI85LB6uVyYms3FviLdGoZhwS/nUFpehZ/Tbhr90cspKKOKzjLUPasm1nH0+Mztfwbft77ugBY5Vm6B/vR3vpu4KQ8eVuLb1GyTgb5unSDDgMsVVKsZ3gCQi6OCQtkHQGzwc/XqVezdu9fkmF7NmjXh6emJ27dv622/ffs2IiIieJ+nVCqhVColazNxbjRub4ydzWX4uvgrPVFaXo2f0m46sHVErFY5Kmz7X3ej7e/3vIBVna84oEXycK/kUS+P2Ju4LqG1s1y1TtDxrHuie3odERTKOgBig59Lly5h3759CAsz/aL4+PigXbt22LNnjzaZWq1WY8+ePZg+fbodWkxYztqDIodxe3u+dmLONaBFJPo0C9euyv737SIcvUKVbp1Jw/wA7Pmyl9H2tKj7GPHMEbMrtLu60BqPvghbchNnCa2d5ap1gqwJ7OwZFDo0ACouLsbly5e1P2dlZSE9PR2hoaGIjIzEU089hbS0NPz666+orq5Gbm4uACA0NBQ+Pj4AgL59+2L48OHaAGf27NkYP3482rdvj44dO2Lp0qUoKSnBxIkT7X+BbspZe1BMfeOzVxetPV87sefi2p84h4hCXxxd2ddo+13/cnScvlt2K7Q7SkTQo4DEkhsxmw83rksMvjyUJThvztVYE9jZMyh0aAB08uRJ9O7dW/szm4czfvx4JCcnY9u2bQCA1q1b6z1v37596NWrFwAgMzMTeXl52seefvpp3L17F2+99RZyc3PRunVrpKSkGCVGE9uQQw+Kpcx947N1F609XztT53p+XRomdYtBUlyEtkfIklwI4njBD72R/kk/zscavbIDVZ70jrJCA7zRLjpE+7PYG7Fu/R8fLw+zeXO6dYdcjSXL4DgiKJRNHSA5oTpAlqlWM+i+eC9vEMF+wA/N6SPLX3yp692IYc/Xzty5dEWqfDFvcHMs3H6Ben6ciF+FJy4sGcD5WPNZKXjoU23nFjkH3R5Q9vdE6E2cq/fUWXvDpcB+aQLML4PD/kWT4kuey9YBIvLm6B4Ua1lS70YqUr92pnJ7xOQ25BaUYdp661bGJvbjXa3ApY8GcT6W8J/fUeDnvAuV2oNhb6u5XpyZiU0QU9OfN39uQItIJMVFOGU+pLX4Jk5w1QGKoDpAxNkJHTOX68wHsfVupCTla2fuW6eY15+6h52DggHSPklCSJmP0WOdpu3G7cByjmcRQ4a5fnw3cTE3bE8PhSy/8NkDXwAI2K4StBgUABHJOLIHRQpC6t3YatxeqtdOSB6RXF9/YgEG2LmmB5rfNe7q7/Pv/bgSVuKARjk3w95Wd+7FkQJfACiHoJACICIZR/agSEWKb3yWkOK1EzqLbdesntI0mjjU1z92QJ8rtY22D3n2EM5GFjigRa5Ft6fUnXtxXBkFQEQyjuxBkZIjvvFJ8doJzSNanHJBiiYTB1m0syVGnzFeDHrM00dxJCbfAS1yTdRT6vooACKSclQPitQc8Y3P2tdOaG5Pdr6wKrVEXl4+0AQvpTY22v7CsD+xs1muA1rkvDwUgJonwc0ZeqqJNCgAIpKjMXPLWfPaCf3GGhPmj4OXxLXLy0OBKr47BrGpCSdjkLwn3mj7//U/i/WtrzmgRc6LrW91v6QCL643nqLtTD3VxHoUABGboDFzy1n62gnNI/q/QXH47tg13m/AXCwNfoL9vcEwDAoeVln0fHc29HwUPvmljdH2j3pcxPKulzme4Xq8PBSY3D0GG0/e4FxFXCgPBbB8dBsMahWl3bbSw/l7qol1qBAiByqESJwVX/Exw0Jji3acF706e4CPJ7w9FHhQ9iiYiQhS4q3H4xES4IM7RWWoWUMJMEBeSbm29+rolXyM/fKYlVfmPnpeqYVvfuxotP2bttmYn3TOAS1yHPZzu2JMW6j8vJF6JQ+AAu3qB2PXhds4e7MAQb7eqB3og83pObzH+WxMWwxqZRzUOOuahYSfmPs3BUAcKAAizkxo9dlFO85j9cEsUT1BABAa4IMnWkfpLZVhitAK2+6uzc1gbF7XzWj7jiY5mDY8zQEtsh9/bw+UVqo5HxNaBd2dqy6TRygAshIFQMTZCf1mW1Glxrep2dj/910cvJTHcSRjYsvWp2bmY/Tqo2Ka71Ya362BXV8blyZIi7qPEeOOOKBF8vT9lM5mh4apR4fQUhiEuDmheUQ+Xh6Y3KMB4qJUggMgw2q55m4wHWNDERrgg3slFYKO7y7qFPjh8Ko+RttvBj5Etxf2Poo0CQBhsxwp95CIQQEQIUT06s1i1ibz9FDgnWEtMG29aw/jCBVa6oO0T5OMtqvBoPGrO1HtQZ3yXKguD5EaBUCEOCGpu/p1CzGKIbT20KBWkZhyPRarD4pLvHYlAeWeOLeUe4X2prN3otybOweGaNwvqaAhLiIpCoAIcTJcyZ7Bft6Y2C0W0/s00t4QxN4sBrSIRGJcbew6f0dwW0L9fbD3wh18vOsiCh5Woml4DSwd1RY1fPX/tKRk5ODXM/yzdFyZT5UH/v7vQM7HWs34DYW+VCJAiDe2nMXbv55DbuGjhV0pyZlYg5KgOVASNJErvsVOWcH+3nh/REsAED0jxpKp8Xxa1Q3Ctuk9BLXZVSkY4KMdCXgyo67RYx1e3I27NWiFdmuJTcgnro9mgVmJAiAiR9VqBt0X7zW53pcppm4WFVVqNJu3U/SUeFNa1Q3C5mndrWqzU2KAeXubY/LJBkYP9Zy6D1dD3HMpEsM17qQ8LjtNHgANkbk5mgVGiAsyt9ipOaZmb32bmi1p8AMAZ24UYv+F224V/Ew/0givHGxqtL3Hc3txPfihA1okH7b6ps0m5C/fewkbTlynOkBEMAqACHESuQXW30D5Zm9dvWebXokp3/5pk+PKzbi0aCzc1cJoe9KkP3CpVrEDWuR+luw2XuAut6AML6xLoyEywokCIEKcQEpGDhZuvyDZ8Qxnb0WH+kt2bF2uPq9p2LkoLPvVeL2uYeMO4XRUgQNaRHSJrVlF3AsFQITInC2SiGsGKPV+HtclBu/uuCD5MJir6nu5Nr76uYPR9tGjjiI1Ot8BLXJdIf7eYAAUlFZa9DvA9nquPZyFCd1iKQgiWh6ObgAhhF+1msGCX85Lnj8x+4d0pGQ8mpbu4+WBKT1iJT6L6+l0LRTZiwcbBT9Th59EzJztFPzYgNLLA+89oZnZaBi6iAllFm6/gO6L9+p97ol7owCIEBmzNvGZz+2icrywLk3vZjB3UByeeyyWVmDg0CI3CNmLB2Pj9130tr88KB0xc7bj9ya3HdQy15dbWI6QAB+sfKYtIlT61aAjVL6YldhE+LH+yQmiIIgANARGiKwJrbRsKcPciLmD4tC9US2M+/q4Tc/rLBrmB2DPl72Mti/oew5r2mfbvT3u6k5RGYa1roOkuAijae4AsOHENUHLuFBOENFFARAhDmSuWrPQ9Y+m926IEH8fUYnSfDPCujaqiUiVr1tNXzcUVeiLIyv7Gm1f1vVvLOlhPNuI2Bb7e8C32Cm7jIuQWkNi1rGzBC3X4TwoACLEQbiWtDCsW2JukVK2CNysJE3tmS8OXMHtInEVhg17mTw9FHhjYHNM33BK1HFcQViJD/Z90QtBFd5629e2zUZy4jlaod0BIlWPenr4DGgRiZXPtDX6fTLFFr2rQn6niXxQDhAhDsDO7DL8Y51jkKPALlIK8CeAzh8SB08PBTw9FBjTKVp0W7h6mW7beOhNbgLLvXBgVW/8uTxJL/jZ2vwmGry6HclJFPw4Cvv5NmdAi0gcmtMH8wY3F3RcqVeX5/udprwj+aIAiBA7Mzezi4EmR6H6nznp7LdbrgRQwwJvMTXF1fMJDfBGu+gQo+22KowoN76VHtj6TTecXdof9QsevXZ/xN5B41d2YMbQdKjpr6RZKj/bDCZM7hYjqufE00OBCd1iEany5Y1XFRDWqySGqd9pdpvu7zSRB4s+tdevX4dCoUDduppF/o4fP47169cjLi4OU6dOlbSBhLgaITO7DHMUBrSI5EwANfxmLPZb7b2SSnR8d7fRSvK2KowoF17VCnz9Uwc8ll1Lb/vpiAd4ekwqyrxdvYSjtAoe2mZF+8S4CNHPYXtNuXKCDHtNpWLud9rWeUfORi55UhYFQGPGjMHUqVMxbtw45ObmIikpCfHx8fjuu++Qm5uLt956S+p2EuIyhC5pYbgfXwKoLnM5Q1wePKzEkt1/Y82RLLw/oiUGtIh02cKIHmpgya+tMexCHb3t11SleHzCQRT62uZG7s4sWQSVzW2ztJeGLycowkb5OELzidj95BIAOIKc8qQsCoAyMjLQsWNHAMAPP/yAFi1a4PDhw/j999/x/PPPUwBEiAn3Siok3U+XqW+/5jworcTz69Kw6p9htSk9YvH5gSzRbZAlBkjeHY8JaTF6mwuVleg9ZT/yA8S/1oRfkK8XhrWOQkxYAK7fK8Xa1KuCn8vVS2NJwCC011QKQnteawf6yioAsDe+qvaOWrPNogCosrISSqWmlP7u3bsxdOhQAECzZs2Qk0OJXoSYElpDaX4nEfsZsmRGjC62RsrcQZrk6y8OZNlsJW97mHWwMWYcMS6W1+35vbipcu8V2m2lsKwKg1pGoeBhheg17Ax7aawJGIT0mkpB6GzN+yUVeHG9fAIAezKXJ+WI+kwWBUDx8fFYtWoVBg8ejF27dmHhwoUAgFu3biEsjMY3CTElIkjYt0Wh+3Ex/PZ76XYxlu+7LOi5urkKcwfFITRAiUU7/7K4LY4y8WQM5u+JN9re99/7kRlW4oAWuZfcgof44LeLgvYNC/DBm4ObI0Llp9dLI7ceAz5C8o7mDW6OhdvlFQDYkxzzpCya37B48WJ8/vnn6NWrF0aPHo2EhAQAwLZt27RDY4QQbuy3RVMMZ6kUlFbiyc8Oo8uiPXjys8MoKK0EoPlWlZqZj63pN5Gama83y4T99jusdR10a1RTVBt1cxomdouFM/09fvJsHWQvHmwU/Dw+/iBi5myn4MdO/vj7ruAeyHeHt8DwtnXRpWGY3rCXM82sMjdbMyRAKTgAcEVi86TswaIeoF69eiEvLw+FhYUICXk0hXbq1Knw93ft2SOEWEv32yLA/W1xVIf6+PXMLdQO9MXrP5/G1XuPhmpyCsqQ8PbvqFXDB16eHkZDA/MGxyEkwEcv74ENuoTekHRzGvb+dRu+3p4orai2+Jrtod/f4fhic3uj7U+PTsWx+q55U5GzLem3BO3HN9Vdjj0G5pjKO9qaflPQMewZANiTmDwpe7G4eIOnp6de8AMAMTEx1raHELfAl6cT7O8NBsCS3X+bPcbdYuPE3ZyCMkxbn6a3jc2XYIMuU9+XDWff8A1ByEmXq2H4fkNno+2TnzyBPY3uOKBFRIwgPx/O7XLsMRCCL+9IjgGAPQnNk5KyPpM5Fg2B3b59G+PGjUNUVBS8vLzg6emp948QYh5bufb7KZ2xbFRrzEpsjPullXjwz/CWVNh8CQBY+UxbBPt7c+5nOPvGXMFGR2uVo0L24sFGwc+Mx08hZs52Cn6cxIYT1ziHsVwtYGADAHsWaJQTMVXt7cWiHqAJEybg2rVrmDdvHiIjI6FQOFGCACEywn5brFYz6L54r03OoZtgeWhOHyTFRWD53ktYczgbDx4+CrYMZ98IKdjoCI3yamD3Vz2Ntr+VmIH/tRM+3ZqYF+zrhQdltq2NxDeMJcceA2s4okCj3Ni7PpM5FgVAhw4dwsGDB9G6dWuJm0OIe7J1sGGYLzEjsQmm92lsskaK3IYW6hb44dCqPkbb/9v9Ij7tJmyGGxHuucdi0aZ+CG+umpQ9g1yfNVcMGOQWADiCPeszmWNRAFSvXj0wjFw7xglxPvYKNsScRy5DC7WKlfjji17wr9T/c/VV+ytY2OcCLVIqMQ8FMLl7DHo1DcedojLMTGyM749fQ25huXafCJUv2tRTYUfGbUnOmZ3HPTPPFQMGOQUAjmKv+kzmWBQALV26FK+//jo+//xzSnwmRAL2CjbY8wgpLmfJshpSCirzws6vH0OdIj+97T/H38Arg0+DcZ/7hd2M6VgPXRrWxHs7LmD1wWzt9oggX8xKbIKYmv7aG/bRzHzJAqDvj1/D9D6NOYMAVwwY5BIAuDsFY0FXTkhICEpLS1FVVQV/f394e+snVd6759xTTgsLC6FSqVBQUICgoCBHN4e4ATYHyFbBBpsvcWhOH+w6n8s5s4u9negWl5NqFlirukE4c6NQ0L5+FZ746bsuiL+j0tu+p+FtPDf8T1R5Uu+zrUzqFoM1h7MFfTaq1QzavbNLsqT976d0pqCAWE3M/dviHiBCiHQsWcOLqw4QF918CQCiytGzQxD/t/ks7pVYdqOb0iMGv57JNd1GBeBVpcDaHzui21X9oo1pUfcxetRRlNMK7Ta3Jf2W4M+Gp4cC749oiefXpXE8Qzy55ZwR12dRADR+/Hip20GI2+PLd4hU+eKVpCZYf/wabhWUIUrli68ndITK39tokcj7JeVYuP0Cb75Eama+6OJyA1pE4mGlGrM2pou+po//lYDIYD+94RRDHmrgk21t8PjFKL3tV0KKMXT8YRQraYV2W1MACAnwNrkAL99nY9UzbZG87ZxejlCIvxdGtKmLPs3Dcf5WId7dYX49MLnknBH3YXEhxOrqamzZsgUXLmg+2PHx8Rg6dCjVASLECqbyHZ5sXw+A+ZWx+7eI5H3c0uJylq5Ldv1+KTw9eXI1GOCd31vgmfRovc3lwdXoMm4v7vnTCu32wL47w1vXwVeHs83ub/jZMJej07lBGL4+nOUy09mJ67AoALp8+TIGDRqEmzdvomnTpgCARYsWoV69eti+fTsaNmwoaSMJcSemEiSFJC+ber7Qb9mXbhchNTNfeyOzNCF6ye5LmNG3kdH2Vw40xfRU4+24BqRVPMC91RT82Iq3hwKVOoUH2R7CQF9vQQEQ12fI1GfO3PAuA83SL4TYm0VJ0IMGDQLDMPjuu+8QGqqJ2vPz8/HMM8/Aw8MD27dvl7yh9kRJ0ESO+BKSuRJUAe6eIgCiEldr+ntiXNcGiKkZgKy7JVi655LodnsoAPZ+O/l4LObtizPap+/U/di6rDs2nriGzLxibE67iYeVlPNjS/4+nnjusQaY3qcxdp3PNRrG4hIW4IPUuX3h4yV+EQGu4F1XRJAvkoc659R2Ih9i7t8WBUABAQE4evQoWrZsqbf99OnT6NatG4qLi8UeUlYoACJyU61m0O39Pbw3KN1ZXp4eCt6eoqEJkfj8QJadWv3Iv87UxYc7E4y2D5pwEOfDhc0OI7bx3GOx+OJAluCePd0eR3PDsYaq1QyW772EJbv5A+lVBoE8IWLYfBaYUqlEUVGR0fbi4mL4+HAvbEcIsdzyvZdNfjvXTVAteFjB2VOUW1Bm9+BnwMUIrNrSzmj7U2OP4GTd+3ZtC+G2+qDw4Ad4tLbc1MdisTX9ln6BxCAlkofGmwxg1hzJNnn8uZvOameaEWJLFi2G+vjjj2Pq1Kk4duwYGIYBwzA4evQonn/+eQwdOlTqNhLitqrVDJbtviRodXgAyC14aHKau710yw5D9uLBRsHPhKeOI2bOdgp+ZIRjHVKTmH/+fX4gyygozy0sx/Pr0pCSkcP53KNX8s0Ov94vrcTRK/niGkWIBSzqAfrkk08wfvx4dOnSRVsEsaqqCkOHDsWyZcskbSAh7iolI0dQXoaueyUVDl3AtM3NYGxe181o+/Shafi1OfdNkbie13l6cVIzhQU2qZn56NaopvkdCbGCRT1AwcHB2Lp1Ky5evIiffvoJP/30Ey5evIjNmzdDpVKZP8A/Dhw4gCFDhiAqKgoKhQJbtmzRe3zTpk3o168fwsLCoFAokJ6ebvaYa9euhUKh0Pvn60v1JYhzYROexQQ/kSpfhNZQ2rBV/JreDUT24sFGwc8b/c4iZs52Cn7czIPSShzlDHaEdjdRtW9iexbXAQKAxo0bo3HjxhY/v6SkBAkJCZg0aRJGjBjB+Xj37t0xcuRITJkyRfBxg4KCcPHiRe3PCgWNJduS2ERIYlq1muEdxjJl/pA4qPzsm4NX74EfDn5uvEL7B4/9hc+6ZNq1LUReUq/koVtj/V6cLg1qYvk+85+LLg2o94fYnuAAaPbs2Vi4cCECAgIwe/Zsk/t+/PHHgo45cOBADBw4kPfxcePGAQCys7OFNhOAJuCJiIgQ9RxiGSF1aYg4x7PuiR7GerxVpHZWjj0WMK1dpMTBz3tDWa1f+HRVx0y83+svWqGdgOtD0LlhGIL9vU3mAQX7e6MzrQlG7EBwAHTq1ClUVlZq/1/OiouLER0dDbVajbZt2+K9995DfHw87/7l5eUoL3801FBYSNNyuRgvu1CBF9dzzzZ6YV2aUV0aIowlayJtP5ODx1vlYECLSNFriomheuiN379+DOHF+sPKG1tex+sDz9AK7USLqzCikPXD3h/RknqQiV0IDoD27dvH+f9y07RpU3z99ddo1aoVCgoK8NFHH6Fr1644d+4c6taty/mcRYsWYcGCBXZuqXPh6unxUHDfYLkWTiTCWbomEvt6860pZg3/Ck9s+rYrmuXp19X4rXEupj2RhmoPytlwFS/2bohQfx+EBvjg2r2H+PpwFgoeilsIN8TfG50b6AdA7Beo8io1ZiU2xvpjV3G76FHFbyFT6AmRkkU5QJMmTcKyZcsQGBiot72kpAQvvfQSvv76a0kaZ4kuXbqgS5cu2p+7du2K5s2b4/PPP8fChQs5nzN37ly9Yb3CwkLUq1fP5m11FnwViE1Nn+VaOJEIY8myE4avt+76TLkFD7Fw+wXcL6ngXYvJX+mJkvJqo8d8qjzw7Q8d0em6/nt4rG4+nn36OMq9qFqzM/FQAAzD/cWFLaY5O6mp3peW9jEhGPvlMVHnWWTQi8P1BSoiyBezEpsgpqY/5Q4Sh7BoFtg333yDhw8fGm1/+PAh/ve//1ndKCl5e3ujTZs2uHz5Mu8+SqUSQUFBev+IhqUJuSxLhnPcHbt2kiV0X292fabhbeviveEtABhnZbA/e3vq/ynwVCuwanM7/P3fgXrBz99hRYifmYKnxx41Cn686eZlc1N6xOK7yZ0Q7Oct6nmKf/5N6RGr/dnwcUCTSG8YhHRuEIZIla+gtK5Ila9RJWf2C5Rhb+TtwjIs3f03lF4e6NIwjIIfYneiAqDCwkIUFBSAYRgUFRWhsLBQ++/+/fvYsWMHateubau2WqS6uhpnz55FZCR1q1rCkoRcXZYO57g7dhgrUiXu9dN9vavVDFIz87E1/SZUfj5YMaYtIgyOF6HyxczEJo+SUhlg0c6WyPxwEAb8/WgiwZ2AMrT+z+/o9+8DKFEa9xQBwIRuMdobrS66rVnPQ6FZsuKNwXHo1rgm3n+ypcnXOthfP0CKUPli5TNtMXdQHFY+w/05YHP2dD83bN0eNiDnO9+kbjH4fkpnHJrTx2g9OlOFORloagYdvpSHarEVGQmxkqghsODgYG1tnSZNmhg9rlAoROXSFBcX6/XMZGVlIT09HaGhoahfvz7u3buHa9eu4datWwCgndoeERGhneX17LPPok6dOli0aBEA4O2330bnzp3RqFEjPHjwAB9++CGuXr2Kf//732IulfzD0h4ctjudXYCTiKc7jHXrwUMk/3IORWVVnPsavt58s/PmDW6OkAAlcgvLcK+4HKEBPsi8WwwwwOt/NMPzxxrqHbfCQ40ez+/F7UDz9Yh+PZODFWPaYOH2C3rnVfl7Y2LXWDSuXQMLfsnQy/uQgocCUCiAaoGjcUpPDyTUC0bdYF9sSr8laVtsITrUD10bhqG0oho//3kDUcF+SIqL4MzzYld2Zz83XKUpdD9Xho+bmtVp6nx8eTtCvkA9KK3E2K+OSTJ7lEpyEDFELYb6xx9/gGEY9OnTBz///LN2JXgA8PHxQXR0NKKiogSffP/+/ejdu7fR9vHjx2Pt2rVYu3YtJk6caPT4/PnzkZycDADo1asXYmJisHbtWgDArFmzsGnTJuTm5iIkJATt2rXDO++8gzZt2ghuFy2G+khqZj5Grz4q6jl8q5O7O2v/OLNDCYBxDocCj15vc6vGT30sFttO52hvTM8da4C5+5sbna/n1H24GlIquH0A8P2UzugYG4rley9hzeFsPNBJnvXx8kBFFeUMSYENZlX+Pv/00jDo0qCmdvq4JZ8zc5+blc+0NRlYcdmafhMzNqQLuiZr/25oKqefR26hfp4RrTDvXmy+GvzVq1dRv359ly0wSAHQI9VqBt0X7zWZkOuh0E+IpjpAxqSql5SSkYPXN501qqMS7O+N90e0RFJcBLov3ito2HJUej28/1sro+0DJh7AX7WNFzsWYtmo1lB6eXDeSIltRap8MTQhUi+4Zbeb+5yxv+d8nxu2h/HQnD6ignaxX6AsPU9KRo7JqfW0wrz7sPlq8Hv37kWNGjXwr3/9S2/7jz/+iNLSUowfP96SwxIZYhNyuerKsH+elo9ug5AAJXU78+D7Zs3WS1ox5tHrV7OGEmCAvJJy3teSq4hcQWklXliXhpmJTcwGP4MvRGLFtrZG20eMPYI0KxcpDfbzxvTvTzk0+FEogM4xIUjNcq8FV3MKyvD5gSyj7ULqcpkbqrJ0VqfYGY2WnKdazeD1TWdN7kMrzBMuFgVAixYtwueff260vXbt2pg6dSoFQC6Gr66MufF/d1etZnA0Mx+v/3zW5Ors078/xVtSQPfbO5tQyoV9+prDxjdA1mNXauJ/P3Yy2j5u5DEcjM3jvxCBvDyA8WtOWH0cazEMnCb4sUWxSkPs8WdvTEdBaQWKy6sRWkOJiKBHAbbQXD+xOYGmvkBJdZ4jl/MErzBPC6wSXRYFQNeuXUNsbKzR9ujoaFy7ds3qRhH5MZU4SYxxDXnxMTX5Rffbu8rPx3xCKUfBurY3QrDpu65G218Y9id2Nss12z6hKL1HnCBfLxTyJLXbQmmlGnM2ZehtYwPs7LwSQcewZFanJYU5hZ4nJSMHL/94WtC+tMI8MWRRAFS7dm2cOXMGMTExettPnz6NsDAqeueq2LoyxDS+IS9L6FbVfq1/U1HPbX4nEDvXPGa0fc6AM9iYcF2C1hFrjGhbB2uPXHVoG3IKykzmzrCsndXJfoE6eiUfL36Xxhmoiz2P+N8zykoj+iwqhDh69Gj85z//wb59+1BdXY3q6mrs3bsXM2bMwKhRo6RuIyFOw9rCkVzYvIh7JcKmj0ff90f24sFGwc97vS4gZs52Cn5k4PFWkegf71xDx1xFEsXw9FCgWyPzNYyEnMeS3zNaYZ4YsqgHaOHChcjOzkbfvn3h5aU5hFqtxrPPPov33ntP0gYS4kysLRxpSmgNJSJVvrzHDy9S4sjKvvA0WJF0RefL+PCxi1SRUCaC/bywbJSmLIep91NOZiY2kSzXb0CLSKwY0xZvbs3QC+rF5BSK/T2jFeYJF4sCIB8fH2zcuBELFy7E6dOn4efnh5YtWyI6Olrq9hHiVGy59EdEkKb2y7T1p/S2h5R6Y9dXPVGzVKm3fX3CVfxf/wwKfGTm/SdbaXs4hiZEcs7ckpuYmv6SHSslIwcLt5/XC35CA7wxb3BzwUGW2N8zWmGecLEoAGI1adKEsyI0Ie5KTJKoYf0kUyJVvrhfUoGF2y9otwWUe2Lr/7qj0b0aevtub5qDl4amQW3RADexlRB/bywa0VJ7k0/JyMEXEgY/bB2g9cevoaiMe7kSS0m1pA1f3s79kkq8uP4UVnooBAVBQtsT6u+N93Rec0J0CQ6AZs+ejYULFyIgIEBv5XQuH3/8sdUNI8QZCal7EuDjiQndYnA1rxS/ns0RdNxagT54cb3mxqGs8sB3Gzqh/U39RNEj9fMw4V8nUEErtMvSJ6PaoEeTWgCkzRXz9/HE6mfbo3MDzYKiMxObIm5+CsSXuDUm5ZI25tYFY5P9hdTrEfJ7FhrgjaNzE+HjRd8ECDfBAdCpU6dQWVmp/X8+rlodmrgnsctXCKl7UlJRjRX7MkW148yNQu0K7UmXw/Ueu1CrECOeOYKHPo++9Qf7e5utjULs617poyEfKXPFPh6ZoDe928/HE1N7xIoeWuP6vDIABrXQlL+wtuyFlMUWhRRofW94Swp+iEmCA6B9+/Zx/j8hrsrS5SssqXtiioIBPtjRCv/KqKe3/VbgQwyYdACFvo9qyXgogCk9YvHagObawO3K3RJ8/kcmyjgK9fh4KlBRbb6rQKEA+jarjd0X7lh9Pe5Kt9aOJblihjd6U5/FuYM0q7evPphlcpiVPQYAo88rO0T71eFsfHU42+olbqQutkgFWom1LFoLzNXRWmBEyMKQ5v7Asr1HuQUPsXD7BcHT2LUY4I19zTHlRAO9zQ+9qvHYc/twtwb/Cu2fjWmDQa2iTNZKUUCzMKozJOFKpV9cbTQJD8LyfZfN7htbMwAPK6qQW8j/OrOELvTKrkllySLDH/8rAZHBfqIKkVZUqfFtajay80sBMGhVR4XCsiqjStDAo8/rrvO5+PpwNu8xl49qjcdb1xHVdkD4umDfT+ksqt4YrQBPdNlkLbARI0YIbsCmTZsE70uI3EiVq8AWjkzNzBcd/ExLbYjXDjQz2t79ub24EfzQ7POnf38Kn6iBd3deMJlnsu10DsZ3icY3qY4tyGcvnWLDUDNQaX5HADMTG+NOYRne3fGXZOdP3nYOgb7euFNYhtAAH9wvqRCcBxQZ7Ce6EKmPlwcm92hgfkdoPq8dY0Mx+4d0k/tN35CO0zcL8MbgOFFtMZe3Y2m+ERVoJZYSHACpVCrt/zMMg82bN0OlUqF9+/YAgD///BMPHjwQFSgRIkdSLwwpZrjjmVP18c7vLY22J036A5dqFQs+jpoBpm/gz9UDHl2H2k06gT0UwLguMTiRdU/Q/lfulmDjCWFFI4X0/gBAbmE5xn55TNC+LL7AQEjPh9jeEaG5SasPZsFD8WioTQgheTvWFlskRAzBAdCaNWu0/z9nzhyMHDkSq1atgqenJwCguroa06ZNoyEj4vSkzlUQMmV36PkofPJLG6Ptw8YdwumoAkHnIaZN6RGrSYoVeH9dtueSbRskAF9gICQ/jWuf0ABvvDOsBQa1iuI8n5hgffXBLLzcr5moRGPK2yFyYlEdoK+//hqHDh3SBj8A4OnpidmzZ6Nr16748MMPJWsgIfYmtMaI0P1Mdf33yqyFtT91NHrOmKeP4khMvqDjWysmLMAu57GHhrX8kXm31Gh7UlxtbW9FXrH5nB57Cw3wxrCEOth6+ibulTyavccVGPDldekunAuAc597JZWYtv4Uplx/gD7Nwo16hsTU+1EzwLep2YKH2Fi0sDKRC4sCoKqqKvz1119o2lR/cca//voLajXVICHOTepcBa6u/w7XQ/DjeuMV2p8bfhK/NbltTfMFY69jXJcYfHkoyymWZDBFAXAGPwCw+/wdpGTkYECLSMmK+knpXkkl+sVH4M3H40wGBkLy05K3nQOgMJlbtPpgFlYffJT8zvYeJcVFiFqe4+o97tfbHMrbIXJgUQA0ceJETJ48GZmZmejYUfPt9dixY3j//fcxceJESRtIiL3ZIleB7fr/5rOr+H5lZ6PHXxl0Gj+1vGFVu8ViAIzqUF/vep05G8hc29nEdTbAlVvAd6eozGxgcPRKvtn8NCGz1gzp9h7NHxInaIV4AIgOlW6JDELszaJp8Gq1Gh999BGWLVuGnBxNJdvIyEjMmDEDL7/8st7QmDOiafAEsLwOEKe/ATQ13rywz3l81UHcNPRgf2/4enkit9D0DVwBQCWgIGJEkC+Sh2qGh5K3nbPoBuos2CnWO87kYNp6YTd5ezE3/TslIwev/3wWDx7apsAl2yP4wZOtsO5oNn47b7rmk4cC+GvhQCo2SGRFzP3b6jpAhYWFAOBSgQIFQIRldY2R6wDqG29e1vUSlvT426I2rXqmLZLiIrB87yUs2W06UVdMRehHx72MJbsta5vcLXm6NSKCfPG/1GzszMh1dHMAPAo8Ds3pw/vZMlXPyVGeeyxW1CwwQuzBJnWADFVVVWH//v3IzMzEmDFjAAC3bt1CUFAQatSoYebZhDgHi3MV7kLT43Nff7N6GoNudfaa7b3h88nIBAxoEYlqNYMNZqZoByg9RS2HMXfTWSTFRWB6n0YAgBX7Lwue3u0sFv56Ti/JWCzdIVG+pU7EHg8wPaQqZt0wBYDwICXKq9S4b6OlUNhq43IMfmxRGoC4LosCoKtXr2LAgAG4du0aysvLkZSUhMDAQCxevBjl5eVYtWqV1O0kxDkUAGgHwHCpr1EA1gEengrMzxCeY2Ho7j8FFYXUaykpF7ci+P3SSny6529sPHlDdvkxUrEm+AEezcoCjJeOsOZ4SXERSM3M57wpi103LHloPNRqBtPWm64DJZaftwdmJzXF+K4xshz2srQ0gLVLfBDnZVEANGPGDLRv3x6nT59GWNijb8fDhw/HlClTJGscIU7jIYBeAI4bbO8H4BcAPo82DWgRiUndYkwuN8AnK1+znpQla0kJsXSP+SUipBQRpERZlVrWC7eGBnhj3uPxRktHGE7lvl9SgYXbudfTYkUEKTG6Y33E1AzQBjq7zuei++K9vDdloe91sL833h/RUnsjf+7GA0mXOXlYqUaLOirZBj+WlgbQ3YeCIPdiUQB08OBBHDlyBD4+PnrbY2JicPPmTUkaRohTqAQwDMBO/c3FLaqw/4s7CKutREevUHgaVN9LiouwKABijyJ0KrfY5RbsJdjfGytGtwUUEF0Z2Z4U0KwqznVj5Boe7d9CPyhqFx2CP6/e5x1uEXLjFvperxjdFt0aP1oVfu6gOCTUDcGbWzPEr0PHw1aBtzWsLQ0gZnkb4losCoDUajWqq42712/cuIHAwECrG0WI7KkBPAvgO/3NpXWqMGzSYVyqKAa2arZxdbF3jA0VlaDMalMvRPt8IbWK5g2Ok91sJwB4UFoJDw+FqBuqn7cnHlaKG9azRkSQEslD40X1CnAFRXw5ZELXnPvj1d6C3uvOHOcZ1CrSKCi7X1KOhdsvWDR8J8caSkKWrjE3s1Hs8jbENVjUl9mvXz8sXbpU+7NCoUBxcTHmz5+PQYMGSdU2QuSHATADgCf0g58gYPfe24h75jdN8KOD/TafkpFj9ekjg/0APKpVBBiv7KCbWOshv9EKLfaGLNTglpFQQPBKFlaZldgEh1/va9MhEaFrzv159b6g95qv54INyoa1roMuDcMwqFUUDs3pg++ndMayUa3x3b87IVzAArERQUrRC5Xag5S9UnLs4SK2Y9Gfx48++giHDx9GXFwcysrKMGbMGO3w1+LFi6VuIyHy8DY0vzGfGGzPBnYcvIWpv5/kfBr7rX3BL+dR/U9CyPGse6J7fyINqk+zxRUjVPpBRITKFyv/mdK+4Jfzos5hT+yQkMrPW9D+3RqFcV9vkBLB/t6SBEaRKl+seqYtZiQ2tvlQiJg158y912IDNd2gqFujmlgwLN7sc5KHxstyeEjKXik59nAR27FoCKxevXo4ffo0Nm7ciNOnT6O4uBiTJ0/G2LFj4efnJ3UbCXGsTwH8h2P7eQDNNXkc5mbcGHaxW/JNc95g42/5ptZVSs00XTXYURTQ5CblFjzE8ax7mNg1BksFLDwaofJDl4ZhnNe763wuZ+VuoQa2iMCzXWLsOiVa6M02O0+z3IQt19Aa0CISq55pi9c3nTUKzA2Tq+VGyHBweJASgAK3C6VZ3oa4BtEBUGVlJZo1a4Zff/0VY8eOxdixY23RLkIcbx2AcRzbTwBor/lfNo9DKDbwseSbZkiAD+d2vlpFcu3OZwDkl1Rg1g+nAWgqUfv7eKK0gj+/R7f3i+t6+VYZj1T54mFlNQpKK3kDo2B/bywf09ZkIGGL2jHmbtyspbv/RtOIGhjQItKma2ixAdbRK/lIzcwHwKBLg5ro3DBMlj0/LCFL1yQP1fRwSbm8DXF+ogMgb29vlJXJ8w8rcW12K2C2DZqZXYb2QTPVXYfYGi01ayiRmpmP3MIyhAZ4i6pLs/OfHCKuBTK5Xhdn6c4XsqSHkJsTXw+Jud6h90e0NHlsrtoxgb6eaFc/BD0a18K4Lvx1cUx9Ztkbt5CaUPaaoeTpoUC3RjXRrVFN8zvLCF8AHGEwAUHIPsR9WLQUxnvvvYe///4bX375Jby8LC4mLVu0FIb82KWA2X4AvTm2bwUwlPspW9NvYsaGdEGHD/H3htLLw+q1tnSv29TrkhQXYVRfxpEClJ4mizMG+GhmeenWzWGrDr82oLlVwa8ln59qNSNouRG+yshc5wz288bEbjGY3udRjtGy3X+bPQdgfq0wQpWgiR3WAhs+fDj27NmDGjVqoGXLlggICNB7fNOmTWIPKSsUAMkLX60U9k+W1QXMTgLowLH9WwDPmH5qamY+Rq8+avm5LcBe99THYvHFgSyTr4taDVHT4MXk0AhdbDVS5YtRHepbtL4Y2x7DkgGWBL9ibnwpGTlI3nZe1JIlumtjmVu7SzevRmgQvWxUawxrXUdwewhxR2Lu3xbNAgsODsaTTz6J/v37IyoqCiqVSu8fIVIxVysF0J9dJcoFaO6whsHPJ/8c3EzwAzzK4zD1/dFDofnmz0cBTY0bodgrXX3QOPjRfXzBL+eh8hc2w2pWYmN8NqYNQgL09w/55/lc068ZAAVmgp8aSi/88Wpv1A+1bHIEey2GQVZOQRmeX5eGHWeElxYwnA5ubuFRseu1rT6YhYoqtaC1ux6UVmpLIwgdqnSWIU1CnIWo8Su1Wo0PP/wQf//9NyoqKtCnTx8kJyfTzC9iM0JrpQgpYMb2ABRdrES/wRHGOywA8Ja49plKwGS91KcRlplYYoIBRBf4YwCY6rtlXxdNMqt5BQ8rsXD7Bb2cpNAAH7wzrAU8PIzXvQr298Z9E4nFrOLyKpzIvidZJWJD079Pw3K0waBWUZIcT8zCo4bUDPBtajbiolSChh0ZiCt0SDOUCJGWqB6gd999F//3f/+HGjVqoE6dOvjkk0/w4osv2qpthIiqlWJKSkYOhrx5CC3igoyDnxnQVHYWGfyw+Gq0sDVlGtSqYdmBJSHsVv714Wyjm/b9kgq8+M/wmWHhPKWI9aBSM/MRWsN8oT1LqBlg2vpT2HHmlqjnVasZpGbmY2v6TaRm5uvVZ7ImZ+rqvVJRs++kKHRI7Ifvc0Ock6geoP/973/47LPP8NxzzwEAdu/ejcGDB+PLL7+Eh5xLzhKnJcXwwO4juWgxUIUdhT30tm+Ov4GXB5/GZ+PaYoDCukRqc/V4HKVLg5r46c8bJhOvDRfsZBmukcT2sGlmsYlJ5GYQEWTb4Zvp35/CcigwqJX595EvIXre4Diczym0qh3Rof6ih6ruFJVhWOs6ks5QokRf6dFK8q5HVAB07do1vaUuEhMToVAocOvWLdStW1fyxhEidM0rzuGBUoDpwSAxTb/HZ2+DO5g64iSqPBlJF0Hkq9EitN6LGAoACp7AhX08QuWLgoeVKKtS8+7DgP8YwKOhtLWHszChWyw8Ra7fBWiCMEvXPhNK0xOUhlUephPi+ZKTcwrKJFkzLTxQqX2/hfYksQGTVIUO6UYtPSGL1tJr63xEddtUVVXB11f/2423tzcqK23zR40QoWte6d0kKgD0AxAAKNIebT8VeR9NZ+/EpH+dQJWn5k+Zbg6REJZ0gZu6Bkuwx5jSI5ZzbSz256EJkXhxfRpv0KHy98bkbjGCzrlw+wV0X7xXVNIuq210CHadz7VZ8KPLVEK8Nfk9Qr20IR27zudq329TFDBe3kRoojYf9kZtGHxJuR6du7HpRAziUKJ6gBiGwYQJE6BUPhrPLysrw/PPP683Fd7Zp8ETeRFa5AzVAMYC2Kj//KyQEgwdfwhFyirecwjp1bDmmzV7Df+3OcPqhGDd625TP4TzdZk3uDkWbr9g8mbv5+2JPs3C8dXhbEHnZW+iK8a0FdXDse5oNr46JOwc1jKVEG9tfo9QC345j0Nz+vAuLQHYJrdH6Ory9iio6EqknIhB5EVUADR+/Hijbc88I2CuMCFWMjk8wACYDuAzgyeFAid23sO/NqWaPb65Xg0pusAHtIjEw4pq7RIQlpjeuyFmJTXV3sD4XhchN/ucgjJAoZntJSQoY2+iC7efx7zBzc2uf8Y6kX1f9JRya/AFs/ZYGkT3Zsi+N8v3Xsaaw1l48PBRIGSL6sN0o7YNqSZiEPkRFQCtWbPGVu0gxCzOHJu3ACzk2PkqgPpAW3UIIvdYN8VYym/WESrrSkZ0a1TL6Bxcr4vQP8Z5xeV4onUUvhbYC8TeREMClHiqbR38lHbT7HMCfITXOJICXzBrzzo67Ovv6aHAjMTGmN6nkc2TkulGbRtUp8l10dQt4pyW4p/uCIPtf0Fzl67/aNOoDvV4gx/A/DCEmG/W5ggpnMgnIkhpNlBj85PyioTN0qod6IukOI6aSGbcKSrDeyNawdw93EMBjGgrzQSJmX0bmTwfm1PTLjqEM0/LmtdeLMObobW5PZac09r9iIa5zw1XLhdxDq63kBdxbWsBTOTYngagjf4mrpwdXUKHIaT8Zi2kcCKftx6P5+1F4LpWvuntrBB/b7SLDsFn+/iLNPKpHegLHy8PTOkRi88PZPHuN6VHLLo2qomIIF+rhsE8FECT8CAsH92Wc7aWbuJ3zw/38eZpWfraC+XIooVWzZgkvISsNk91mpyTRWuBuTpaC0yGNgMYYbw5Y30Bmj8dZPTHx9xaTLMSm2B6n0aC/mgJXe9LzGKVnAtl+nvjYUU1yg2mrSsUQGLz2si4Wch5Yxe73pculZ8XCh7yJ4cbYm+ih+b00b52i3acx+qDWUaLmA5qGYmkuHDUDvTF/ZIKq6eZK6BZ3wwwrkwdqfLF0IRIs2uj8S0gKwXJ1qazAvu5B7hv1DRd23JUXsA52HwxVFdHAZCM7AGQaLx54lMnsK/hHQDGf4Sq1YzJVdC5buKmsMczVccnUsTxdI+r26PDVl4WsxgpA02AZK/fYjYIMfyDX1Glxrep2bh6rxSl5dU4eOkubusMwwX7eaN745o4dDnPaFZUsJ8XoFAImibPvs4A9F67dtEhRj0/hu3Wfc8NX/u9f+Vi9cFswa9DiL83GMDqBVptgW7UtkMFJuWPAiArUQAkA8cBdDLe/J8hp7AtTn/ZA8Nvt7bqsTHVo6S7ErglzAVtcqC7gjmfHWdyTPb0qPy8MLFrDDSdXAy6NKgJKICxXx4T3A6u902K93zHmVuYs+kMisrMr8v23eRO6NwwTLY3Q7pRE3cl5v5NOUBEXs4BaGG8Wb2cQbdC7gDBcCaWLWbDDGgRiamP8ee7fHEgC23qh1j8DdteNWqssWJ0W3RrXJP38R1nbmH696anxhc8rMLSPZexSqcXaWu6+ZlkurjeNyne80GtolBezWDWxnSzx8krKeet/C0Hcm4bIXJBs8CIPGRBE8UYBj/vAGCAYwOEz8SyxWyYajWDbadNV9G1phqsPevkWCI80AdQgLcCdkpGDqatP2Uy6VqX7msldlYS1/41BS62au5cQtcso5lUhDg/6gEijpULoAGAhwbbXwbwIbTjW2K+4T/eKkry2TC2LDKXkpGDhb+eE/UceyuvZvSGqXRzStg6SWLkFJRhya6/0a1RTbSLDhG8VhrXdOOUjBwkbzP9+gl9z2kmFSHug3qAiGRErZN1H0BdAJHQD34mQLOkxUfQW+RKTK+OReuHmWGrInNsbtG9Etuuk2Vp9of/P0UMDROUddeWsnT4bvm+yxi9+ih6frgPQxOEDR0OTYjUe9/Y18/U6vRi3nNbfHYIIfJEARCRREpGDrov3ovRq49ixoZ0jF59VLt4pp4SAAkAQgHopn4MBVAJYA04P5Vii5Gxa29FqPQDpwiVr0VTgW01rGbLxTk9FMBnY9piFcfrYE7/+HB8O7Ejgny9OR9n25y87RwOXb5rVTtzC8rwxYEs/LtHjNnCittO52gDa6Gvn9j3XOrPDiFEnhwaAB04cABDhgxBVFQUFAoFtmzZovf4pk2b0K9fP4SFhUGhUCA9PV3QcX/88Uc0a9YMvr6+aNmyJXbs2CF944mWoBWoywH0AVADwBmdnbpB0wO0FSYHZD09FJg3uLmois4DWkTi0Jw++H5KZywb1RrfT+mMQ3P6WHQDs0U1WKE9J2EBPnjusVhEGtyQQ/y9tefmsnx0GwxqFan3Okzv3VBQ2yZ0jYWXl4fJ3CQGQG5hOVbsyxR0TFPHAYCf026azSHSrbgt9PX76KkE0e+5lJ8dQog8OTQHqKSkBAkJCZg0aRJGjDCucldSUoLu3btj5MiRmDJliqBjHjlyBKNHj8aiRYvw+OOPY/369XjiiSeQlpaGFi04phcRq5hbJ8tTDfiM9gAyDB5sBs1U90Bh50nJyMHC7Rc4HzNV0Vmq2TC2qAYrdLjszcHNMbxtXbw2oLnR1OZd53MF1XxhXwe5rhfFAIKHAdm2CV7vrETYsiCGaCYVIa7NoQHQwIEDMXDgQN7Hx40bBwDIzs4WfMxly5ZhwIABePXVVwEACxcuxK5du7B8+XKsWrXKqvYSY7zfwhng3d9bYGx6tP722tBMdeefTW3EXA2eeYPtU+CNHRoxDDi4AjAhdViEDpexC6hy3ZCT4iIQ6OuN1Mx8sHV1OptYa8oV1ou6dLsYqZn5qBkgzcwvQoh7crlZYKmpqZg9e7betv79+xsNr+kqLy9Hefmjb4mFhYW2ap7L4foW/sqBppie2khvm9qTgUe2QpP4LIK5PA8FgIXbz6N/C/MrsUthQItIJMVFmAxuhFbitXbGEdd5fk67abLir5Bzhgb4ILfgIWoH+SIiSInbheU2y1MyFBrgg/slFSbPt3zfZSzfdxkRQb4I9vdGQWklzdgihIjmcknQubm5CA8P19sWHh6O3Nxc3ucsWrQIKpVK+69evXq2bqbL0P12PeVYA2QvHmwU/PSasg/HLt4THfwA0q7ELhVTK3sLyofSOY6lM47EnMew7XznBDSvZ35JBWb9cBpjvzyGsiq1ttCkLbE5VO8Ma8HbNkO3C8vw4J/gh2ZsEULEcrkAyBJz585FQUGB9t/169cd3SSn0TE2FFMvxSJ78WC8sb+53mMDJx5A7JztKI9VW/wtXK45K1zM5UMBxsUSLZlxZMl5dPGdk0vBP9Pf/f6ZDm8LusHKoFbC28YGPiH+3ggP0h8OoxlbhBBzXG4ILCIiArdv39bbdvv2bURERPA+R6lUQqkUlk9AdPwMeD6lwP9Bfw2sJ8cewZ9170vyLdyZclYsLZYoZFhNivPo0j1nbmEZFv56jjMJmQ2hyirNr4/FUkCzQKvQqtCGOVS6bTt8+S6Wm5hlxgC4X1qJ7/7dCR4KBa19RQgRzOUCoC5dumDPnj2YOXOmdtuuXbvQpUsXxzXK1ewC0M9486wJp7A5/NFCpaZmZwllaZ6MPReDZM+1k2fYyRBXbxU7rMYe69czt3jbLVWvGHvO1Mx8szOwxKzwwQD4d/dYfHkwS/uzoUEtwtGgViC6NAxD5wbGSdtiZ63lFZdjWOs6whtJCHF7Dg2AiouLcfnyZe3PWVlZSE9PR2hoKOrXr4979+7h2rVruHVLc1O9ePEiAE0vD9uj8+yzz6JOnTpYtGgRAGDGjBno2bMn/vvf/2Lw4MHYsGEDTp48iS+++MLOV+eCUgF05di+EcBI4CN1a4zMqi9p0GHJ9HOhSciA9YES17nM4eutEtpuqXvFbDF8+OuZHEx9LBbbTufoXY/HPz1DOzJuA7iNn9NumAySnakHkBDiXBQMw9hrgoeR/fv3o3fv3kbbx48fj7Vr12Lt2rWYOHGi0ePz589HcnIyAKBXr16IiYnB2rVrtY//+OOPePPNN5GdnY3GjRvjgw8+wKBBgwS3q7CwECqVCgUFBQgKChJ9XS7nLIBWHNs/BzDVPk0QGhzwTZlnQxrdvBAxgRJfm0xNz+fz2Zi2GNRK//hi2l2tZtB98V6zvWKH5vQRFMylZuZj9OqjIq/CNPasK8a0RUiAD3adz8XXh7N59+PL16moUqPzoj24V1LBex4x10oIcW1i7t8ODYDkigKgf2QCaMSx/X0Ac+zcFpjvrWEDA77eGN2b5a7zubzBiwL8N2Sh5zIl0uCGLabd7HPYgAng7hUTkwBsLqACND03DMM9nMWHbfcfr/ZGzw/3ibo+wHzvmiXXail7DqkSQiwn5v5Ns8CIsVsAfGAc/MwBoIZDgh/A9PRzQHhy8NEr+SZrCzEwPYtKyLlMMZy2b8lUfynXqzI3HV8BYEqPWM7HTWHb/c2RLNHXxzfNX5e9ZnoJXueOEOJUXC4JmljhHoB4AIYlk/4N4AvYvhiMlYTmsqRm5psNXszNorI2b0b3+ZYmNYudPWaKkCrXbeqHiM53AoAluy8J2o+9PiGLnIYGeOOPV3vDx8u23+H4hibZeks01Z4Q50UBEAGKAXQCcN5g+whoEpyd5FMiNBFW6KhvbsFDq88l5PliE31tNRxjLqAyfDyvqJx3fTZdpRXCptCz1yekd+1eSSX+vHrfpmt1mau3pICmpzApzj5VyAkh0nKSWxuxiTJoprMfNNjeE8BvACQsjWSPHAqhU+aD/1lF3Ry+xFsh5+LDNW1fzFR/axO3zTG3AKju49VqBl8eyhL9GhgyfE3kUvxSinpLUqNcJEKkQwGQgznkD1oVgH8B2GKwvQU0U91rSHs6W9+0WUKnzD+sVAs6XmgN4whQ9/0a1aEeluy+ZHQuPnzT9oW2my9x29RwjC0/X7rtthTXayKXqe9yCcRY9vo9IsRdUADkQHb/g6YGMAXA1wbbo6CZ6m6DNSNtkUNh6qYuJJdFs3K6eRFB+jdYrveL7U16UGq6kKBhGwyZave8wc0RqPTGi+u5Z63xDcfY4/PFtvv1n8/iwUPzr0Gwn7feflyvibWLxEpFLoEYQLlIhNgCTYPnYI9p8GLqvliNgWbm1ocG25UArkATANmAJdO7zRF6UzcVJAmZwm44Vd3c+zUzsQliavqjZoASUGgqE+v+v9DeF8N23y+pwMLtwhOP5w1ujgndYnl7i2w1dfzw5TyM/fKY2f2ELlkh5TR/S0ldb8nadkj5e0SIq6I6QFaydQBk1z9o7wOYy7H9MoCG1h3aHKEF9r6f0llQDoWUQaOYG6yjbkCWFlqMCFKirErN2ytli/baIliQw5CPHAIxqX+PCHFlVAdI5iyp+yLa59D8lTYMfs7+cwIbBz+AtDkU1q6AbshUHZ2ZiU1QXqVGama+tkfGkverWs0gNTMfW9Nvao8llJCp4HxyC8tNDslJ8vkyYKqWEHvOUR3qizrmgBaRODSnD76f0hnLRrXG91M649CcPnYd6pGy3pKl5JaLRIiroBwgB7DpH7SNAEZxbE8F0Fn84axhTQ6F4VCQWs1IPiPHcFp3dl4Jvj9+DUt2/63dJ1Lli0EtIgQdT/f9srb3wppCi0KJ+XwJSabmy2NiLdn9NzacuCaqB8fcrDR7kLLekiXklItEiCuhAMgBbPIHLQXAQI7tvwNIEn4YKVmazMqZbOwnbOq62KCRvcGmZORg6e5LnEmmX3GsYcWFfb/4hq5yCsrw/Lo0zEpsgul9Gpm8gdrj27zQz5eYYI4NFpbvvcRZANFZk3YdGYjJJSmcEFdDQ2AOwP5B47v9KaC5wQj6g3bonycYBj8/QdMt4qDgBzC/xALAvZI71xIIQmYYAZZ9CxYyvOah4C+Erft+CRm6WrL7b3R7f4/JpRRs+W1ezOeL7/1gAxm+a9hw4jrndkuGK92dJb9HhBDzKAByAEn+oJ3+Z+ceBtu/guYu86QULbWemBwKa/JeRAWNBoQMN6mZR9PNDc8LPHq/hA5d5RaWmwwgzAXJlhJzw7Q070rwmmyZ+RbnSLkbOeQiEeJqaAjMQYTUq+F0CUATju0fAXjZFi21ntAcCkvzXqz9Fix0uGlStxjszMg1+X6JHbriW0rB00OBeYPjMG29cZFBdk+VvzcKSit5h0VU/t7w9fJEbqGIz5cOSyshC30NXlyfptezR0X9THN0LhIhroYCIAcS9QftBoD6MC45/AaAd2zfVmsJyaEQeuMUUkxPDKHDTUlxEXhjcJzJ90vM0JWpxO2UjBws3G64OJsGe70ATFaPfn9ES6tumJYm6wt9DQyHNZ01P8ie5JAUToiroADIwcz+QcsD0Pyf/+p6AcAKyH6FdjGE3jjHdqqP0AAfhNZQIiLI+m/BYpJMzb1flqwRZhhAmKv/M29wc22AIKQX0dIbptD3o6bBkiGWrpNGC4wSQuyJAiC5KgTQAcDfBttHAlgPwNPuLbI5oTfOFfszATwaMrH2Ril0LS5PDwXndHAA2m01ayjxdPt6WLrHeAYUH91Aw1welALAwu0X0L9FJDw9FDYdFhH6frz8QzqSh8ZrAy5Tr6c5jlhglBDinqgSNAd7LIXBqwxAH2jq9uhKBLAdgI99m2NvfJV3uUhdjdfcdG+uxwOUnmAYoLSiWvT5uKojy63qr5D3g+994CtnIGRG37JRrTGsdR1Lm00IcVNi7t/UAyQXVQCGA/jVYHsbAAcBBNi9RQ5hrpieLsMhEwAW94RUqxmo/Hzw2oBmuFdcjtAAH0So/LTH4BuWKikXH/gA/InbuQUPBT3fXlV/2fcjedt5vWRqXXxDV1y9U2qGEbRmGBX1I4TYGgVAjqYGMBHA/wy21weQDiDE9NOFVOi1BynboXvjPHw5D8v3Xebdlx0yWb73EjacuG5R5WVTPT/ssJel0/NZHgrNVHoWV+K2JvH5gqDj2TNAGNAiEoFKb4z9ij9w4Ru6MsyZqlYzVNSPECILFAA5CgPNtPUlBttrQDPVXcDqC3JYLNJW7WBvnEJ7OiytOszXs6P7XJWfj9XLUqgZTfJyzUAlZ4AoZuFTS+sdWSOvpFzQfubeLzH5VoQQYktUCNER3oXmlTcMfrIAFEFw8GNJhV6p2bod1vR0mKs6LLTQn9BhKXNCA3wwrHUddGkYpneDF9vDNG9wc7sHCFIu3yL3on7WLGJLCHEe1ANkTyXQ9PAYOgcgTvhhzN247TWV2B7tsHRKtW47+GYVCS30d6+kwoIzG+M7jtgCkCEBSvM7SUzq9ajkWtRPLr2qhBDbox4gezIs6nscmrusiOAHEFeh15bs0Q4hy4YIwQ7N6H67P3zZsLgSt9AaSkmWpQitwR24iE1otlcCtC5brEfFDnNy9Yo5glx6VQkh9kEBkD11B7ALwFFoooMOlh3G0gq9UrNXO0wNmcxK5FoXxFjtQF+kZOSg++K9GL36KGZsSDeZXK13nqBHlZetERHEPTwkdpjP0gVfrR3WkfvQlTUsXfeMEOK8aAjMnhTQ1POxkpT5GM7SDr4hEwDYcOKa2aGZ+yUVeHG9sCRjw+eyQzNCp+dzMZW4zA4vmTuupTOkpBzWkevQlbUsXfeMEOK8qAfICZlbKdyaldHl3A6uIRMhQzPzBjfHwu3iprGzz/2/Qc2x9nAW3tqagZv3H2Lvy73w/ZTOmNQtBqEBwqpSKmB6eMjTQ4FXkpoKOpbYYSZbDOvIbehKCnLpVSWE2A8FQE7ImnwMKWe42CIvxBLmhmZCApSie20iVL5IjKuNGRtOYeH2C/hf6lUs3H4B8fNTsP/ibXSMDYWPp/51Bft5IcDHeI0Slb+3yXP1/HAvXv7ptNk2TX0sVlSPDQ3rCCeXXlVCiP3QUhgcHLoUhghihzZsNcNFLjNn+Ioxbk2/iRkb0s0+f3rvhmgcHohApTeSt53FtfvSfNvnWyqiWs2g6/u7cbtQ2CyzSINlM8yR27IaclatZtB98V6zQ6liXn9CiP3RUhhuQkw+hpCCf5YGK3LJC+FbqV3ot/ZujWph0c7zOHOjUNJ2cZUESMnIwZubziCvtErwccTmoNCwjnBUoJEQ90MBkJPju+nrske9HiHtcBShNWwW7TiPMzelDX5Yukm0BQ8rBFd9NiQmWKFhHXH41qHjWraEEOL8KAByA+4+w4X9dv/8OsNCTBoMgNf6N8WsH8zn4Vgrt+AhPvjtosXriokJVqQuXugO5NKbSQixPQqA3AANhZi39kiWXc5zr6TComn0lgQrNKxjGTn3ZhJCpEOzwNyAuw+FsEOAfBQAzt0qsmkb2JIAfNWghbAkWHHl4oWEEGIN6gFyA+4+FCJkCLDKgqnghr0qpvYDNAGMyk9Y7SBd1s6oo2EdQggxRgGQG3D3oRAph/YU0NTjaVM/hHPq/9CESGw7ncObRFutZgQv7lqzhg8+Hd1WkmCFhnUIIUQf1QHi4Cx1gPjw1cORS70eexNaD6dBLX9cuVvK+3ikSok/Xu0DHy/NyDHf68y3ncWWJAC4e5Aa1PTH5mndzRZQJIQQok/M/ZsCIA7OHACZC3LM3ZxdkZgid8M/O8RZB6hV3SBsm95Dsja5azBKCCG2RAGQlZw1AOIrdshXidhVcQV5u87ncva6cL02xWVVmLXxFK7df4j6IX5Y8nQb1PCVfrTYHYNRd0HvLSGOQQGQlZwxAGJ7OfiSfd2llL+pnhUA1OtCbI569whxHAqArOSMARCt+ySsB8wWs6Ho2z5hUS8sIY5Fa4G5IXcvdihmuQ8pA0D6tk9Y9lhyhhAiHSqE6CLkVuywWs0gNTMfW9NvIjUzH9UW1NkRQ8xyH1Jhv+0bnpddYDYlI0eycxH5c8RnkBBiOeoBchFyKnboiF4Re/eA0bd9Ysjde2EJcTbUA+Qi2GKHwKN8A5Y9ix06qlfE3j1g9G2fGJJbLywhxDQKgFyIo9d9MtcrAmh6RWwxHMb2gPGFd+xaXFL1gNG3fWLI3p9BQoh1aAjMxThy3ScxvSJSz0Sz13If7IyvS7eLBe1P3/bdh7svOUOIs6EAyAU5at0nR/eKsD1ghvlHERLlH3HlNvFx9QVmCTdbfwYJIdKhAMhFyKEWjRxyIGzVA8ZX34ULfdt3b47shSWECEcBkAuQSy0aucxEk7oHzFRuExf6tk8c1QtLCBGOAiAnx9czwc66smflWVfNgTCX28Sa3rshujWqZfW3fTn05hFCiKtz6CywAwcOYMiQIYiKioJCocCWLVv0HmcYBm+99RYiIyPh5+eHxMREXLp0yeQxk5OToVAo9P41a9bMhlfhOI6cdcXH0TPRbEFozlLj8EB0aRhmVbCSkpGDbu/vxejVRzFjQzpGrz6Kbu/vpaKKhBAiMYf2AJWUlCAhIQGTJk3CiBEjjB7/4IMP8Mknn+Cbb75BbGws5s2bh/79++P8+fPw9eXPI4mPj8fu3bu1P3t5uWZHlyNnXZniajkQ9sptSsnIwfP/rFivK7ewDM+vS8MqJw0gCSFEjhwaGQwcOBADBw7kfIxhGCxduhRvvvkmhg0bBgD43//+h/DwcGzZsgWjRo3iPa6XlxciIiJs0mZrSD204ehZV6a4Ug6EPXKbqtUMXt901uQ+czedpcrShBAiEdkWQszKykJubi4SExO121QqFTp16oTU1FSTz7106RKioqLQoEEDjB07FteuXTO5f3l5OQoLC/X+SS0lIwfdF+sPbXRfbN3QhhxmXbkDe1TZPnolHw9KK03uc7+0Ekev5Ft8DkIIIY/INgDKzc0FAISHh+ttDw8P1z7GpVOnTli7di1SUlKwcuVKZGVloUePHigqKuJ9zqJFi6BSqbT/6tWrJ81F/MNWy0NQ5Vn7sXVuU2qmsMBG6H7uzN4L8RJCnJPLJcfoDqm1atUKnTp1QnR0NH744QdMnjyZ8zlz587F7NmztT8XFhZKFgTZctFMV511JVe2zW0SepOmm7kpcikJQQiRP9n2ALE5PLdv39bbfvv2bVH5PcHBwWjSpAkuX77Mu49SqURQUJDeP6nYetFMV5x1JWdsbtOw1nWsnvGlq0uDmpLu544ctRAvIcQ5ybYHKDY2FhEREdizZw9at24NQNMzc+zYMbzwwguCj1NcXIzMzEyMGzfORi01zR6Jys4464pq3ejrEBtq1ItnSPHPfsSYLXtaCSGuyaEBUHFxsV7PTFZWFtLT0xEaGor69etj5syZeOedd9C4cWPtNPioqCg88cQT2uf07dsXw4cPx/Tp0wEAr7zyCoYMGYLo6GjcunUL8+fPh6enJ0aPHm3vywNgv0RlZ5p1RcMUxv68et/s4Bbzz37O8j7bk1xLQhBC5MuhAdDJkyfRu3dv7c9sHs748eOxdu1avPbaaygpKcHUqVPx4MEDdO/eHSkpKXo1gDIzM5GXl6f9+caNGxg9ejTy8/NRq1YtdO/eHUePHkWtWrXsd2E65LI8hFzIqXK1nMi5pIEzoNePECKWQwOgXr16gWH4v/cqFAq8/fbbePvtt3n3yc7O1vt5w4YNUjVPEpSo/AgNU/CjkgbWodePECKWbJOgXQklKmvYOiHcmVFJA+vQ60cIEUu2SdCuxhkTlaVGwxT8yd/UU2gdev0IIWJRAGRHzpSobAvuPkxhLvmb7Sk03CfCzRPEhaLXjxAihoIxlYTjpgoLC6FSqVBQUCBpTSB3V61m0H3xXrMJ4Yfm9HG5b+p8yd/sVeoOhVKJAOvQ60eI+xJz/6YeIGI37jpMITb52917Cq1Frx8hRAhKgiZ25Y4J4ZT8TQgh8kM9QMTu3C0hnJK/CSFEfigAIg7hTsMU7p78TQghckRDYITYGNWoIYQQ+aEAiBAbY5O/ARgFQa6c/E0IIXJGARAhduCOyd+EECJnlANEiJ24W/I3IYTIGQVAhNiROyV/E0KInNEQGCGEEELcDvUAESIxWoqBEELkjwIgQiRkbsFTQggh8kBDYIRIhF3w1HDZi9yCMrywLg0pGTkOahkhhBBDFAARIgFzC54CmgVPq9VcexBCCLE3CoAIkQAteEoIIc6FAiBCJEALnhJCiHOhAIgQCdCCp4QQ4lxoFpjMCZlSbc0+NGVbGuyCp7kFZZx5QApolr2gBU8JIUQeKACSMSFTqq3ZZ2hCJLadznG6KdtSBG1SB37sgqcvrEuDAtALgmjBU0IIkR8FwzA0LcVAYWEhVCoVCgoKEBQU5JA2sFOqDd8c9va58pm2AGDxPnx0nyvHIEiKOju2rNVDdYAIIcRxxNy/KQDi4OgAqFrNoPvivbyzitjhFIZhkFtYbvE+fNjnHprTR1Y9FkKCQnNBhhTHMIeGFQkhxDHE3L8pCVqGhE6pNhXYCNnH3HPlNGVbijo79qrVwy54Oqx1HXRpGEbBDyGEyBAFQDIkl6nScmkHIE2dHarVQwghhEUBkAzJZaq0XNoBSFNnh2r1EEIIYVEAJEPslGq+gRMFNIm1EUFKq/bhwz5XTlO2paizQ7V6CCGEsCgAkiF2SjUAo+BFd0p18tB4i/fhI9cp20KDQlNBmxTHIIQQ4hooAJKpAS0isfKZtohQ6fdGRKh8tTOVrNknUuWL5x6LRaSJ58qJ0KDQVNAmxTEIIYS4BpoGz8HR0+B1USVofXKvA0QIIcRxqA6QleQUABFjcqwETQghxPHE3L9pKQzidNg6O44+BiGEEOdFOUCEEEIIcTsUABFCCCHE7VAARAghhBC3QwEQIYQQQtwOBUCEEEIIcTs0C4w4FZq+TgghRAoUADkBd7rpm7pWKmBICCFEKhQAyZw73fRNXSsAvLAuDYZVO3MLyvDCujRZLt9BCCFEvqgSNAe5VIJOycjhvOmzfT+udNM3da0MgGB/bzworeR8rgKaNcwOzenjsj1jhBBCzBNz/6YkaJmqVjNY8Mt5o4AAgHbbgl/Oo1rt/PGrkGvlC37YfXIKynA8654tmkcIIcQFUQAkU8ez7ukNBRlypZu+uWsV6k6R9ccghBDiHigAkimhN3NXuOlLdQ21A30lOQ4hhBDXR0nQMiX0Zu4KN31rr4HNAeoYGypNgwghhLg86gGSqY6xoYhU+YIvpVcBzQwpV7jpC7nWYH9vKACjfdif5w+JowRoQgghglEAJFOeHgrt9G9Xv+kLudb3R7TEymfaIkKl31sUofJ1qdlwhBBC7IOmwXOQyzR4gOoAGV6rOxWFJIQQIo6Y+zcFQBzkFAAB7nXTd6drJYQQIi2nqQN04MABDBkyBFFRUVAoFNiyZYve4wzD4K233kJkZCT8/PyQmJiIS5cumT3uihUrEBMTA19fX3Tq1AnHjx+30RXYh6eHAl0ahmFY6zro0jDMpQMCd7pWQgghjuPQAKikpAQJCQlYsWIF5+MffPABPvnkE6xatQrHjh1DQEAA+vfvj7Iy/mnTGzduxOzZszF//nykpaUhISEB/fv3x507d2x1GYQQQghxMrIZAlMoFNi8eTOeeOIJAJren6ioKLz88st45ZVXAAAFBQUIDw/H2rVrMWrUKM7jdOrUCR06dMDy5csBAGq1GvXq1cNLL72E119/XVBb5DYERgghhBDznGYIzJSsrCzk5uYiMTFRu02lUqFTp05ITU3lfE5FRQX+/PNPved4eHggMTGR9zkAUF5ejsLCQr1/hBBCCHFdsg2AcnNzAQDh4eF628PDw7WPGcrLy0N1dbWo5wDAokWLoFKptP/q1atnZesJIYQQImeyDYDsae7cuSgoKND+u379uqObRAghhBAbkm0AFBERAQC4ffu23vbbt29rHzNUs2ZNeHp6inoOACiVSgQFBen9I4QQQojrkm0AFBsbi4iICOzZs0e7rbCwEMeOHUOXLl04n+Pj44N27drpPUetVmPPnj28zyGEEEKI+3HoYqjFxcW4fPmy9uesrCykp6cjNDQU9evXx8yZM/HOO++gcePGiI2Nxbx58xAVFaWdKQYAffv2xfDhwzF9+nQAwOzZszF+/Hi0b98eHTt2xNKlS1FSUoKJEyfa+/IIIYQQIlMODYBOnjyJ3r17a3+ePXs2AGD8+PFYu3YtXnvtNZSUlGDq1Kl48OABunfvjpSUFPj6PloPKjMzE3l5edqfn376ady9exdvvfUWcnNz0bp1a6SkpBglRhNCCCHEfcmmDpCcFBQUIDg4GNevX6d8IEIIIcRJFBYWol69enjw4AFUKpXJfR3aAyRXRUVFAEDT4QkhhBAnVFRUZDYAoh4gDmq1Grdu3UJgYCAUCu61qNgo09V7ieg6XYc7XCNA1+lK3OEaAfe4TntdI8MwKCoqQlRUFDw8TM/zoh4gDh4eHqhbt66gfd1l2jxdp+twh2sE6DpdiTtcI+Ae12mPazTX88OS7TR4QgghhBBboQCIEEIIIW6HAiALKZVKzJ8/H0ql0tFNsSm6TtfhDtcI0HW6Ene4RsA9rlOO10hJ0IQQQghxO9QDRAghhBC3QwEQIYQQQtwOBUCEEEIIcTsUABFCCCHE7VAAxKOoqAgzZ85EdHQ0/Pz80LVrV5w4cYJ3//3790OhUBj9y83NtWOrTTtw4ACGDBmCqKgoKBQKbNmyRe9xhmHw1ltvITIyEn5+fkhMTMSlS5fMHnfFihWIiYmBr68vOnXqhOPHj9voCoSxxXUmJycbvbfNmjWz4VWYZu4aN23ahH79+iEsLAwKhQLp6emCjvvjjz+iWbNm8PX1RcuWLbFjxw7pGy+CLa5z7dq1Ru+l7gLLjmDqOisrKzFnzhy0bNkSAQEBiIqKwrPPPotbt26ZPa6cfjdtcY1y+70EzH9mk5OT0axZMwQEBCAkJASJiYk4duyY2ePK6b0EbHOd9n4/KQDi8e9//xu7du3Ct99+i7Nnz6Jfv35ITEzEzZs3TT7v4sWLyMnJ0f6rXbu2nVpsXklJCRISErBixQrOxz/44AN88sknWLVqFY4dO4aAgAD0798fZWVlvMfcuHEjZs+ejfnz5yMtLQ0JCQno378/7ty5Y6vLMMsW1wkA8fHxeu/toUOHbNF8QcxdY0lJCbp3747FixcLPuaRI0cwevRoTJ48GadOncITTzyBJ554AhkZGVI1WzRbXCegqUar+15evXpViuZazNR1lpaWIi0tDfPmzUNaWho2bdqEixcvYujQoSaPKbffTVtcIyCv30vA/Ge2SZMmWL58Oc6ePYtDhw4hJiYG/fr1w927d3mPKbf3ErDNdQJ2fj8ZYqS0tJTx9PRkfv31V73tbdu2Zd544w3O5+zbt48BwNy/f98OLbQeAGbz5s3an9VqNRMREcF8+OGH2m0PHjxglEol8/333/Mep2PHjsyLL76o/bm6upqJiopiFi1aZJN2iyXVdc6fP59JSEiwYUstZ3iNurKyshgAzKlTp8weZ+TIkczgwYP1tnXq1Il57rnnJGil9aS6zjVr1jAqlUrStknJ1HWyjh8/zgBgrl69yruPnH83pbpGOf9eMoyw6ywoKGAAMLt37+bdR87vJcNId532fj+pB4hDVVUVqqurjbrF/fz8zEajrVu3RmRkJJKSknD48GFbNlNSWVlZyM3NRWJionabSqVCp06dkJqayvmciooK/Pnnn3rP8fDwQGJiIu9zHM2S62RdunQJUVFRaNCgAcaOHYtr167Zurl2lZqaqve6AED//v1l+15ao7i4GNHR0ahXrx6GDRuGc+fOObpJohQUFEChUCA4OJjzcWf83TRk7hpZzvx7WVFRgS+++AIqlQoJCQm8+zj7eynkOln2fD8pAOIQGBiILl26YOHChbh16xaqq6uxbt06pKamIicnh/M5kZGRWLVqFX7++Wf8/PPPqFevHnr16oW0tDQ7t94ybK5SeHi43vbw8HDePKa8vDxUV1eLeo6jWXKdANCpUyesXbsWKSkpWLlyJbKystCjRw8UFRXZtL32lJub61TvpaWaNm2Kr7/+Glu3bsW6deugVqvRtWtX3Lhxw9FNE6SsrAxz5szB6NGjeReVdMbfTV1CrhFw3t/LX3/9FTVq1ICvry+WLFmCXbt2oWbNmpz7OvN7KeY6Afu/n7QaPI9vv/0WkyZNQp06deDp6Ym2bdti9OjR+PPPPzn3b9q0KZo2bar9uWvXrsjMzMSSJUvw7bff2qvZxEYGDhyo/f9WrVqhU6dOiI6Oxg8//IDJkyc7sGVErC5duqBLly7an7t27YrmzZvj888/x8KFCx3YMvMqKysxcuRIMAyDlStXOro5NiHmGp3197J3795IT09HXl4eVq9ejZEjR+LYsWOyyhmVgtjrtPf7ST1APBo2bIg//vgDxcXFuH79Oo4fP47Kyko0aNBA8DE6duyIy5cv27CV0omIiAAA3L59W2/77du3tY8ZqlmzJjw9PUU9x9EsuU4uwcHBaNKkidO8v0JEREQ41XspFW9vb7Rp00b27yUbGFy9ehW7du0y2TPijL+bgLhr5OIsv5cBAQFo1KgROnfujK+++gpeXl746quvOPd11vcSEHedXGz9flIAZEZAQAAiIyNx//59/Pbbbxg2bJjg56anpyMyMtKGrZNObGwsIiIisGfPHu22wsJCHDt2TO/bsi4fHx+0a9dO7zlqtRp79uzhfY6jWXKdXIqLi5GZmek0768QXbp00XtdAGDXrl2yfS+lUl1djbNnz8r6vWQDg0uXLmH37t0ICwszub8z/m6KvUYuzvp7qVarUV5ezvmYM76XfExdJxebv592S7d2MikpKczOnTuZK1euML///juTkJDAdOrUiamoqGAYhmFef/11Zty4cdr9lyxZwmzZsoW5dOkSc/bsWWbGjBmMh4eHyYx3eysqKmJOnTrFnDp1igHAfPzxx8ypU6e0syzef/99Jjg4mNm6dStz5swZZtiwYUxsbCzz8OFD7TH69OnDfPrpp9qfN2zYwCiVSmbt2rXM+fPnmalTpzLBwcFMbm6u3a+PZYvrfPnll5n9+/czWVlZzOHDh5nExESmZs2azJ07d+x+fQxj/hrz8/OZU6dOMdu3b2cAMBs2bGBOnTrF5OTkaI8xbtw45vXXX9f+fPjwYcbLy4v56KOPmAsXLjDz589nvL29mbNnz9r9+li2uM4FCxYwv/32G5OZmcn8+eefzKhRoxhfX1/m3Llzdr8+lqnrrKioYIYOHcrUrVuXSU9PZ3JycrT/ysvLtceQ+++mLa5Rbr+XDGP6OouLi5m5c+cyqampTHZ2NnPy5Elm4sSJjFKpZDIyMrTHkPt7yTC2uU57v58UAPHYuHEj06BBA8bHx4eJiIhgXnzxRebBgwfax8ePH8/07NlT+/PixYuZhg0bMr6+vkxoaCjTq1cvZu/evQ5oOT92qr7hv/HjxzMMo5kiPm/ePCY8PJxRKpVM3759mYsXL+odIzo6mpk/f77etk8//ZSpX78+4+Pjw3Ts2JE5evSona6Imy2u8+mnn2YiIyMZHx8fpk6dOszTTz/NXL582Y5Xpc/cNa5Zs4bzcd1r6tmzp3Z/1g8//MA0adKE8fHxYeLj45nt27fb76I42OI6Z86cqf28hoeHM4MGDWLS0tLse2EGTF0nO8Wf69++ffu0x5D776YtrlFuv5cMY/o6Hz58yAwfPpyJiopifHx8mMjISGbo0KHM8ePH9Y4h9/eSYWxznfZ+PxUMwzCW9x8RQgghhDgfygEihBBCiNuhAIgQQgghbocCIEIIIYS4HQqACCGEEOJ2KAAihBBCiNuhAIgQQgghbocCIEIIIYS4HQqACCFuLTk5Ga1bt3Z0M9CrVy/MnDnT0c0gxG1QAEQIkURubi5mzJiBRo0awdfXF+Hh4ejWrRtWrlyJ0tJSRzfPYvv374dCocCDBw9keTxCiGW8HN0AQojzu3LlCrp164bg4GC89957aNmyJZRKJc6ePYsvvvgCderUwdChQzmfW1lZCW9vbzu3WHoVFRXw8fFxdDMIIQJRDxAhxGrTpk2Dl5cXTp48iZEjR6J58+Zo0KABhg0bhu3bt2PIkCHafRUKBVauXImhQ4ciICAA7777LgBg5cqVaNiwIXx8fNC0aVN8++232udkZ2dDoVAgPT1du+3BgwdQKBTYv38/gEc9K3v27EH79u3h7++Prl274uLFi3ptff/99xEeHo7AwEBMnjwZZWVlvNeVnZ2N3r17AwBCQkKgUCgwYcIEAJohq+nTp2PmzJmoWbMm+vfvb7adpo4HaFbLfu211xAaGoqIiAgkJycLfQsIISJRAEQIsUp+fj5+//13vPjiiwgICODcR6FQ6P2cnJyM4cOH4+zZs5g0aRI2b96MGTNm4OWXX0ZGRgaee+45TJw4Efv27RPdnjfeeAP//e9/cfLkSXh5eWHSpEnax3744QckJyfjvffew8mTJxEZGYnPPvuM91j16tXDzz//DAC4ePEicnJysGzZMu3j33zzDXx8fHD48GGsWrXKbNuEHC8gIADHjh3DBx98gLfffhu7du0S/RoQQsyjITBCiFUuX74MhmHQtGlTve01a9bU9q68+OKLWLx4sfaxMWPGYOLEidqfR48ejQkTJmDatGkAgNmzZ+Po0aP46KOPtD0mQr377rvo2bMnAOD111/H4MGDUVZWBl9fXyxduhSTJ0/G5MmTAQDvvPMOdu/ezdsL5OnpidDQUABA7dq1ERwcrPd448aN8cEHH2h/zs7ONtk2c8dr1aoV5s+frz328uXLsWfPHiQlJQm6dkKIcNQDRAixiePHjyM9PR3x8fEoLy/Xe6x9+/Z6P1+4cAHdunXT29atWzdcuHBB9HlbtWql/f/IyEgAwJ07d7Tn6dSpk97+Xbp0EX0OVrt27Sx+LhfdtgOa9rNtJ4RIi3qACCFWadSoERQKhVGuTYMGDQAAfn5+Rs/hGyrj4+Gh+a7GMIx2W2VlJee+ugnV7NCbWq0WdT6hDK9DTDu5GCaDKxQKm7WdEHdHPUCEEKuEhYUhKSkJy5cvR0lJiUXHaN68OQ4fPqy37fDhw4iLiwMA1KpVCwCQk5OjfVw30VjMeY4dO6a37ejRoyafw87sqq6uNnt8Ie0UczxCiO1QDxAhxGqfffYZunXrhvbt2yM5ORmtWrWCh4cHTpw4gb/++svsUNGrr76KkSNHok2bNkhMTMQvv/yCTZs2Yffu3QA0vUidO3fG+++/j9jYWNy5cwdvvvmm6HbOmDEDEyZMQPv27dGtWzd89913OHfunLa3ikt0dDQUCgV+/fVXDBo0CH5+fqhRowbnvkLaKeZ4hBDboR4gQojVGjZsiFOnTiExMRFz585FQkIC2rdvj08//RSvvPIKFi5caPL5TzzxBJYtW4aPPvoI8fHx+Pzzz7FmzRr06tVLu8/XX3+NqqoqtGvXDjNnzsQ777wjup1PP/005s2bh9deew3t2rXD1atX8cILL5h8Tp06dbBgwQK8/vrrCA8Px/Tp003ub66dYo9HCLENBaM7WE0IIYQQ4gaoB4gQQgghbocCIEIIIYS4HQqACCGEEOJ2KAAihBBCiNuhAIgQQgghbocCIEIIIYS4HQqACCGEEOJ2KAAihBBCiNuhAIgQQgghbocCIEIIIYS4HQqACCGEEOJ2KAAihBBCiNv5f7SRzzE68bR+AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(y_test, y_pred)\n",
    "plt.xlabel('Ground truth')\n",
    "plt.ylabel('Predictions')\n",
    "plt.title('Salary Predictions')\n",
    "\n",
    "z = np.polyfit(y_test, y_pred, 1)\n",
    "p = np.poly1d(z)\n",
    "plt.plot(y_test, p(y_test), color='magenta')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Create histograms for the test data and the predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Count'>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(y_pred, color='red', alpha=0.4, bins=50)\n",
    "sns.histplot(y_test, color='blue', alpha=0.4, bins=50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Saving the Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model is saved to model.bin\n"
     ]
    }
   ],
   "source": [
    "model_name = 'model.bin'\n",
    "with open(model_name, 'wb') as f_out:\n",
    "  pickle.dump((dv, best_random_forest_regressor), f_out)\n",
    "\n",
    "print(f'Model is saved to {model_name}')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Data-Science-Salary-Regression-cm5x0u8B",
   "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": "3.9.20"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}