car price prediction.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Question 1: Find the factors which are responsible for Price of the car ,                                                                   Question 2: Write the equation to find price of a car\t,\t\t\t\t\t\t\t                                                                Question 3: How the factors are affecting the price\t\t,\t\t\t\t\t\t                                                                      Question 4: What is the R^2 and adj. R^2 ? What is the values of both for these module\t\t,\t\t\t\t\t\tQuestion 4: What is RMSE. How to reduce it ?\t\t\t\t\t\t\t\t\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np\n",
    "from sklearn.preprocessing import StandardScaler,LabelEncoder\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.linear_model import SGDRegressor,LinearRegression,GammaRegressor\n",
    "from sklearn.model_selection import KFold, cross_val_score, train_test_split # Model evaluation\n",
    "from sklearn.preprocessing import LabelEncoder, OneHotEncoder, StandardScaler # Preprocessing\n",
    "from sklearn.linear_model import Lasso, Ridge, ElasticNet, RANSACRegressor, SGDRegressor, HuberRegressor, BayesianRidge # Linear models\n",
    "from sklearn.ensemble import RandomForestRegressor, BaggingRegressor, AdaBoostRegressor, GradientBoostingRegressor, ExtraTreesRegressor  # Ensemble methods\n",
    "from sklearn.svm import SVR, SVC, LinearSVC  # Support Vector Regression\n",
    "from sklearn.tree import DecisionTreeRegressor # Decision Tree Regression\n",
    "from sklearn.neighbors import KNeighborsRegressor\n",
    "from sklearn.metrics import mean_squared_error,r2_score\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=pd.read_excel(r'C:\\Users\\91708\\Downloads\\Regression-20210605T094615Z-001\\Regression\\Case1.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Make</th>\n",
       "      <th>Model</th>\n",
       "      <th>Year</th>\n",
       "      <th>Engine Fuel Type</th>\n",
       "      <th>Engine HP</th>\n",
       "      <th>Engine Cylinders</th>\n",
       "      <th>Transmission Type</th>\n",
       "      <th>Driven_Wheels</th>\n",
       "      <th>Number of Doors</th>\n",
       "      <th>Market Category</th>\n",
       "      <th>Vehicle Size</th>\n",
       "      <th>Vehicle Style</th>\n",
       "      <th>highway MPG</th>\n",
       "      <th>city mpg</th>\n",
       "      <th>Popularity</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BMW</td>\n",
       "      <td>1 Series M</td>\n",
       "      <td>2011</td>\n",
       "      <td>premium unleaded (required)</td>\n",
       "      <td>335.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>MANUAL</td>\n",
       "      <td>rear wheel drive</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Factory Tuner,Luxury,High-Performance</td>\n",
       "      <td>Compact</td>\n",
       "      <td>Coupe</td>\n",
       "      <td>26</td>\n",
       "      <td>19</td>\n",
       "      <td>3916</td>\n",
       "      <td>46135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BMW</td>\n",
       "      <td>1 Series</td>\n",
       "      <td>2011</td>\n",
       "      <td>premium unleaded (required)</td>\n",
       "      <td>300.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>MANUAL</td>\n",
       "      <td>rear wheel drive</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Luxury,Performance</td>\n",
       "      <td>Compact</td>\n",
       "      <td>Convertible</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>3916</td>\n",
       "      <td>40650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BMW</td>\n",
       "      <td>1 Series</td>\n",
       "      <td>2011</td>\n",
       "      <td>premium unleaded (required)</td>\n",
       "      <td>300.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>MANUAL</td>\n",
       "      <td>rear wheel drive</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Luxury,High-Performance</td>\n",
       "      <td>Compact</td>\n",
       "      <td>Coupe</td>\n",
       "      <td>28</td>\n",
       "      <td>20</td>\n",
       "      <td>3916</td>\n",
       "      <td>36350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BMW</td>\n",
       "      <td>1 Series</td>\n",
       "      <td>2011</td>\n",
       "      <td>premium unleaded (required)</td>\n",
       "      <td>230.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>MANUAL</td>\n",
       "      <td>rear wheel drive</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Luxury,Performance</td>\n",
       "      <td>Compact</td>\n",
       "      <td>Coupe</td>\n",
       "      <td>28</td>\n",
       "      <td>18</td>\n",
       "      <td>3916</td>\n",
       "      <td>29450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BMW</td>\n",
       "      <td>1 Series</td>\n",
       "      <td>2011</td>\n",
       "      <td>premium unleaded (required)</td>\n",
       "      <td>230.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>MANUAL</td>\n",
       "      <td>rear wheel drive</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Luxury</td>\n",
       "      <td>Compact</td>\n",
       "      <td>Convertible</td>\n",
       "      <td>28</td>\n",
       "      <td>18</td>\n",
       "      <td>3916</td>\n",
       "      <td>34500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11909</th>\n",
       "      <td>Acura</td>\n",
       "      <td>ZDX</td>\n",
       "      <td>2012</td>\n",
       "      <td>premium unleaded (required)</td>\n",
       "      <td>300.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>AUTOMATIC</td>\n",
       "      <td>all wheel drive</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Crossover,Hatchback,Luxury</td>\n",
       "      <td>Midsize</td>\n",
       "      <td>4dr Hatchback</td>\n",
       "      <td>23</td>\n",
       "      <td>16</td>\n",
       "      <td>204</td>\n",
       "      <td>46120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11910</th>\n",
       "      <td>Acura</td>\n",
       "      <td>ZDX</td>\n",
       "      <td>2012</td>\n",
       "      <td>premium unleaded (required)</td>\n",
       "      <td>300.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>AUTOMATIC</td>\n",
       "      <td>all wheel drive</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Crossover,Hatchback,Luxury</td>\n",
       "      <td>Midsize</td>\n",
       "      <td>4dr Hatchback</td>\n",
       "      <td>23</td>\n",
       "      <td>16</td>\n",
       "      <td>204</td>\n",
       "      <td>56670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11911</th>\n",
       "      <td>Acura</td>\n",
       "      <td>ZDX</td>\n",
       "      <td>2012</td>\n",
       "      <td>premium unleaded (required)</td>\n",
       "      <td>300.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>AUTOMATIC</td>\n",
       "      <td>all wheel drive</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Crossover,Hatchback,Luxury</td>\n",
       "      <td>Midsize</td>\n",
       "      <td>4dr Hatchback</td>\n",
       "      <td>23</td>\n",
       "      <td>16</td>\n",
       "      <td>204</td>\n",
       "      <td>50620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11912</th>\n",
       "      <td>Acura</td>\n",
       "      <td>ZDX</td>\n",
       "      <td>2013</td>\n",
       "      <td>premium unleaded (recommended)</td>\n",
       "      <td>300.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>AUTOMATIC</td>\n",
       "      <td>all wheel drive</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Crossover,Hatchback,Luxury</td>\n",
       "      <td>Midsize</td>\n",
       "      <td>4dr Hatchback</td>\n",
       "      <td>23</td>\n",
       "      <td>16</td>\n",
       "      <td>204</td>\n",
       "      <td>50920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11913</th>\n",
       "      <td>Lincoln</td>\n",
       "      <td>Zephyr</td>\n",
       "      <td>2006</td>\n",
       "      <td>regular unleaded</td>\n",
       "      <td>221.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>AUTOMATIC</td>\n",
       "      <td>front wheel drive</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Luxury</td>\n",
       "      <td>Midsize</td>\n",
       "      <td>Sedan</td>\n",
       "      <td>26</td>\n",
       "      <td>17</td>\n",
       "      <td>61</td>\n",
       "      <td>28995</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11914 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Make       Model  Year                Engine Fuel Type  Engine HP  \\\n",
       "0          BMW  1 Series M  2011     premium unleaded (required)      335.0   \n",
       "1          BMW    1 Series  2011     premium unleaded (required)      300.0   \n",
       "2          BMW    1 Series  2011     premium unleaded (required)      300.0   \n",
       "3          BMW    1 Series  2011     premium unleaded (required)      230.0   \n",
       "4          BMW    1 Series  2011     premium unleaded (required)      230.0   \n",
       "...        ...         ...   ...                             ...        ...   \n",
       "11909    Acura         ZDX  2012     premium unleaded (required)      300.0   \n",
       "11910    Acura         ZDX  2012     premium unleaded (required)      300.0   \n",
       "11911    Acura         ZDX  2012     premium unleaded (required)      300.0   \n",
       "11912    Acura         ZDX  2013  premium unleaded (recommended)      300.0   \n",
       "11913  Lincoln      Zephyr  2006                regular unleaded      221.0   \n",
       "\n",
       "       Engine Cylinders Transmission Type      Driven_Wheels  Number of Doors  \\\n",
       "0                   6.0            MANUAL   rear wheel drive              2.0   \n",
       "1                   6.0            MANUAL   rear wheel drive              2.0   \n",
       "2                   6.0            MANUAL   rear wheel drive              2.0   \n",
       "3                   6.0            MANUAL   rear wheel drive              2.0   \n",
       "4                   6.0            MANUAL   rear wheel drive              2.0   \n",
       "...                 ...               ...                ...              ...   \n",
       "11909               6.0         AUTOMATIC    all wheel drive              4.0   \n",
       "11910               6.0         AUTOMATIC    all wheel drive              4.0   \n",
       "11911               6.0         AUTOMATIC    all wheel drive              4.0   \n",
       "11912               6.0         AUTOMATIC    all wheel drive              4.0   \n",
       "11913               6.0         AUTOMATIC  front wheel drive              4.0   \n",
       "\n",
       "                             Market Category Vehicle Size  Vehicle Style  \\\n",
       "0      Factory Tuner,Luxury,High-Performance      Compact          Coupe   \n",
       "1                         Luxury,Performance      Compact    Convertible   \n",
       "2                    Luxury,High-Performance      Compact          Coupe   \n",
       "3                         Luxury,Performance      Compact          Coupe   \n",
       "4                                     Luxury      Compact    Convertible   \n",
       "...                                      ...          ...            ...   \n",
       "11909             Crossover,Hatchback,Luxury      Midsize  4dr Hatchback   \n",
       "11910             Crossover,Hatchback,Luxury      Midsize  4dr Hatchback   \n",
       "11911             Crossover,Hatchback,Luxury      Midsize  4dr Hatchback   \n",
       "11912             Crossover,Hatchback,Luxury      Midsize  4dr Hatchback   \n",
       "11913                                 Luxury      Midsize          Sedan   \n",
       "\n",
       "       highway MPG  city mpg  Popularity  Price  \n",
       "0               26        19        3916  46135  \n",
       "1               28        19        3916  40650  \n",
       "2               28        20        3916  36350  \n",
       "3               28        18        3916  29450  \n",
       "4               28        18        3916  34500  \n",
       "...            ...       ...         ...    ...  \n",
       "11909           23        16         204  46120  \n",
       "11910           23        16         204  56670  \n",
       "11911           23        16         204  50620  \n",
       "11912           23        16         204  50920  \n",
       "11913           26        17          61  28995  \n",
       "\n",
       "[11914 rows x 16 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 11914 entries, 0 to 11913\n",
      "Data columns (total 16 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   Make               11914 non-null  object \n",
      " 1   Model              11914 non-null  object \n",
      " 2   Year               11914 non-null  int64  \n",
      " 3   Engine Fuel Type   11911 non-null  object \n",
      " 4   Engine HP          11845 non-null  float64\n",
      " 5   Engine Cylinders   11884 non-null  float64\n",
      " 6   Transmission Type  11914 non-null  object \n",
      " 7   Driven_Wheels      11914 non-null  object \n",
      " 8   Number of Doors    11908 non-null  float64\n",
      " 9   Market Category    8172 non-null   object \n",
      " 10  Vehicle Size       11914 non-null  object \n",
      " 11  Vehicle Style      11914 non-null  object \n",
      " 12  highway MPG        11914 non-null  int64  \n",
      " 13  city mpg           11914 non-null  int64  \n",
      " 14  Popularity         11914 non-null  int64  \n",
      " 15  Price              11914 non-null  int64  \n",
      "dtypes: float64(3), int64(5), object(8)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### MISSING VALUES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "missing=data.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### The list of variables having missing values greater than zero"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Engine Fuel Type       3\n",
       "Engine HP             69\n",
       "Engine Cylinders      30\n",
       "Number of Doors        6\n",
       "Market Category     3742\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing[missing>0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Make                    0\n",
      "Model                   0\n",
      "Engine Fuel Type        3\n",
      "Transmission Type       0\n",
      "Driven_Wheels           0\n",
      "Market Category      3742\n",
      "Vehicle Size            0\n",
      "Vehicle Style           0\n",
      "dtype: int64\n",
      "Year                 0\n",
      "Engine HP           69\n",
      "Engine Cylinders    30\n",
      "Number of Doors      6\n",
      "highway MPG          0\n",
      "city mpg             0\n",
      "Popularity           0\n",
      "Price                0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "cat_var=data.select_dtypes(include=object).columns.to_list()#categorical variable\n",
    "num_var=data.select_dtypes(include=np.number).columns.to_list()#numeric variable\n",
    "print(data[cat_var].isnull().sum())\n",
    "print(data[num_var].isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "regular unleaded                                7172\n",
       "premium unleaded (required)                     2009\n",
       "premium unleaded (recommended)                  1523\n",
       "flex-fuel (unleaded/E85)                         899\n",
       "diesel                                           154\n",
       "electric                                          66\n",
       "flex-fuel (premium unleaded required/E85)         54\n",
       "flex-fuel (premium unleaded recommended/E85)      26\n",
       "flex-fuel (unleaded/natural gas)                   6\n",
       "natural gas                                        2\n",
       "Name: Engine Fuel Type, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Engine Fuel Type'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Crossover                                          1110\n",
       "Flex Fuel                                           872\n",
       "Luxury                                              855\n",
       "Luxury,Performance                                  673\n",
       "Hatchback                                           641\n",
       "                                                   ... \n",
       "Crossover,Exotic,Luxury,Performance                   1\n",
       "Performance,Hybrid                                    1\n",
       "Exotic,Luxury,High-Performance,Hybrid                 1\n",
       "Crossover,Exotic,Luxury,High-Performance              1\n",
       "Flex Fuel,Factory Tuner,Luxury,High-Performance       1\n",
       "Name: Market Category, Length: 71, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Market Category'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['Engine Fuel Type']=data['Engine Fuel Type'].fillna('regular unleaded')\n",
    "data['Market Category']=data['Market Category'].fillna('Crossover')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Make                 0\n",
       "Model                0\n",
       "Engine Fuel Type     0\n",
       "Transmission Type    0\n",
       "Driven_Wheels        0\n",
       "Market Category      0\n",
       "Vehicle Size         0\n",
       "Vehicle Style        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[cat_var].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def missing_treat(x):\n",
    "    x=x.fillna(x.median())\n",
    "    return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[num_var]=data[num_var].apply(lambda x: missing_treat(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Year                0\n",
       "Engine HP           0\n",
       "Engine Cylinders    0\n",
       "Number of Doors     0\n",
       "highway MPG         0\n",
       "city mpg            0\n",
       "Popularity          0\n",
       "Price               0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[num_var].isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### UNIVARIATE ANALYSIS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "i=1\n",
    "plt.figure(figsize=(15,20))\n",
    "for j in num_var:\n",
    "    plt.subplot(4,2,i)\n",
    "    sns.histplot(data=data,x=data[j],kde=True,color='red')\n",
    "    i+=1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### none of the graph is not exactly normaly distributed ,so we impute missing values by its median"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### OUTLIERS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_var1=[\n",
    " 'Engine HP',\n",
    " 'Engine Cylinders',\n",
    " 'Number of Doors',\n",
    " 'highway MPG',\n",
    " 'city mpg',\n",
    " 'Popularity']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "i=1\n",
    "plt.figure(figsize=(15,20))\n",
    "for j in num_var1:\n",
    "    plt.subplot(4,3,i)\n",
    "    sns.boxplot(data=data,x=data[j])\n",
    "    i+=1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### as we can see above the variables is containing outlier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def outlier_treat(x):\n",
    "    upper=x.quantile(.95)\n",
    "    lower=x.quantile(.05)\n",
    "    x=np.where(x>upper,upper,x)\n",
    "    x=np.where(x<lower,lower,x)\n",
    "    return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[num_var1]=data[num_var1].apply(lambda x: outlier_treat(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "i=1\n",
    "plt.figure(figsize=(15,20))\n",
    "for j in num_var1:\n",
    "    plt.subplot(4,3,i)\n",
    "    sns.boxplot(data=data,x=data[j])\n",
    "    i+=1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### oulier are removed"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### BIVARIATE ANALYSIS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Make', 'Model', 'Engine Fuel Type', 'Transmission Type', 'Driven_Wheels', 'Market Category', 'Vehicle Size', 'Vehicle Style']\n",
      "['Year', 'Engine HP', 'Engine Cylinders', 'Number of Doors', 'highway MPG', 'city mpg', 'Popularity', 'Price']\n"
     ]
    }
   ],
   "source": [
    "print(cat_var)\n",
    "print(num_var)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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JfY1TkiRJkiRJ7fXZ/W2vKe5/FfCqCW6/HNiqr3FJkiRJkiSpu9nS/U2SJEmSJElziEklSZIkSZIktWZSSZIkSZIkSa2ZVJIkSZIkSVJrJpUkSZIkSZLUmkklSZIkSZIktWZSSZIkSZIkSa2ZVJIkSZIkSVJrJpUkSZIkSZLUmkklSZIkSZIktWZSSZIkSZIkSa2ZVJIkSZIkSVJrJpUkSZIkSZLUmkklSZIkSZIktWZSSZIkSZIkSa2ZVJIkSZIkSVJrJpUkSZIkSZLUmkklSZIkSZIktWZSSZIkSZIkSa2tUFIpIraIiO9HxEXN9YdHxP/rd2iSJEmSJEmarVZ0pdLngXcA/wDIzF8Ae/Y1KEmSJEmSJM1uK5pUWjszfzrutttrD0aSJEmSJElzw4omla6PiAcACRARuwPX9jYqSZIkSZIkzWqrruDj3gAcDDw4Iq4GrgBe1NuoJEmSJEmSNKutUFIpMy8HnhYR6wCrZObN/Q5LkiRJkiRJs9mKdn/7YETcNTNvycybI2KDiPjPvgcnSZIkSZKk2WlFayrtmJk3DK5k5l+AnXoZkSRJkiRJkma9FU0qLYiINQZXImItYI1JHi9JkiRJkqSV2IoW6v4y8P2IOJTSAe4VwOG9jUqSJEmSJEmz2ooW6j4gIi4EngoE8P7MPKXXkUmSJEmSJGnWWtGVSmTmScBJPY5FkiRJkiRJc8SkSaWI+GFmbhcRN1O2vS25C8jMXL/X0UmSJEmSJGlWmjSplJnbNZfrzcxwJEmSJEmSNBdM2f0tIlaJiItmYjCSJEmSJEmaG6ZMKmXmncDPI2KTGRiPJEmSJEmS5oAVLdR9L+DiiPgpcMvgxsx8di+jkiRJkiRJ0qy2okml9/Y6CkmSJEmSJM0pU3V/WxN4LfBA4ELgi5l5+0wMTJIkSZIkSbPXVDWVDge2oSSUdgQ+3vuIJEmSJEmSNOtNtf1ty8z8J4CI+CLw0/6HJEmSJEmSpNluqpVK/xj84LY3SZIkSZIkDUy1UmmriLip+TmAtZrrAWRmrt/r6CRJkiRJkjQrTbpSKTMXZOb6zb/1MnPVoZ8nTShFxCERcV1EXLSc+yMiPhURl0XELyJi66H7doiIS5v79p/ef5okSZIkSZL6MtX2ty4OA3aY5P4dgc2bf3sDnwWIiAXAZ5r7twT2iogtexynJEmSJEmSWuotqZSZZwJ/nuQhuwJfyuJs4K4RcS9gW+CyzLw8M28Djm4eK0mSJEmSpFmiz5VKU7kPcOXQ9aua25Z3uyRJkiRJkmaJUSaVYoLbcpLbJw4SsXdEnBsR5/7xj3+sNjhJkiRJkiQt3yiTSlcB9x26vjFwzSS3TygzD87MbTJzm4ULF/YyUEmSJEmSJI01yqTSCcBLmi5wjwVuzMxrgXOAzSNis4hYHdizeawkSZIkSZJmiVX7ChwRRwFPBjaMiKuAdwOrAWTmQcCJwE7AZcBfgZc3990eEW8ETgEWAIdk5sV9jVOSJEmSJEnt9ZZUysy9prg/gTcs574TKUknSZIkSZIkzUKj3P4mSZIkSZKkOcqkkiRJkiRJklozqSRJkiRJkqTWTCpJkiRJkiSpNZNKkiRJkiRJas2kkiRJkiRJklozqSRJkiRJkqTWTCpJkiRJkiSpNZNKkiRJkiRJas2kkiRJkiRJklozqSRJkiRJkqTWTCpJkiRJkiSpNZNKkiRJkiRJas2kkiRJkiRJklozqSRJkiRJkqTWTCpJkiRJkiSpNZNKkiRJkiRJas2kkiRJkiRJklozqSRJkiRJkqTWTCpJkiRJkiSpNZNKkiRJkiRJas2kkiRJkiRJklozqSRJkiRJkqTWTCpJkiRJkiSpNZNKkiRJkiRJas2kkiRJkiRJklozqSRJkiRJkqTWTCpJkiRJkiSpNZNKkiRJkiRJas2kkiRJkiRJklozqSRJkiRJkqTWTCpJkiRJkiSpNZNKkiRJkiRJas2kkiRJkiRJklozqSRJkiRJkqTWTCpJkiRJkiSpNZNKkiRJkiRJas2kkiRJkiRJklozqSRJkiRJkqTWTCpJkiRJkiSpNZNKkiRJkiRJaq3XpFJE7BARl0bEZRGx/wT3vy0iLmj+XRQRd0TE3Zr7fhsRFzb3ndvnOCVJkiRJktTOqn0FjogFwGeApwNXAedExAmZ+cvBYzLzo8BHm8fvArwlM/88FGb7zLy+rzFKkiRJkiRpevpcqbQtcFlmXp6ZtwFHA7tO8vi9gKN6HI8kSZIkSZIq6TOpdB/gyqHrVzW3LSMi1gZ2AI4bujmBUyPivIjYu7dRSpIkSZIkqbXetr8BMcFtuZzH7gL8aNzWtydk5jURcQ/guxFxSWaeucyTlITT3gCbbLJJ1zFLkiRJkiRpBfS5Uukq4L5D1zcGrlnOY/dk3Na3zLymubwOOJ6ynW4ZmXlwZm6TmdssXLiw86AlSZIkSZI0tT6TSucAm0fEZhGxOiVxdML4B0XEXYAnAd8cum2diFhv8DPwDOCiHscqSZIkSZKkFnrb/paZt0fEG4FTgAXAIZl5cUS8trn/oOahuwGnZuYtQ79+T+D4iBiM8SuZeXJfY5UkSZIkSVI7fdZUIjNPBE4cd9tB464fBhw27rbLga36HJskzSX77bcfixYtYqONNuKAAw4Y9XAkSZIkqd+kkiSpjkWLFnH11VePehiSJEmStESfNZUkSZIkSZK0kjKpJEmSJEmSpNZMKkmSJEmSJKk1k0qSJEmSJElqzaSSJEmSJEmSWjOpJEmSJEmSpNZMKkmSJEmSJKk1k0qSJEmSJElqzaSSJEmSJEmSWjOpJEmSJEmSpNZMKkmSJEmSJKk1k0qSJEmSJElqzaSSJEmSJEmSWjOpJEmSJEmSpNZMKkmSJEmSJKk1k0qSJEmSJElqzaSSJEmSJEmSWjOpJEmSJEmSpNZMKkmSJEmSJKk1k0qSJEmSJElqzaSSJEmSJEmSWjOpJEmSJEmSpNZMKkmSJEmSJKk1k0qSJEmSJElqzaSSJEmSJEmSWjOpJEmSJEmSpNZMKkmSJEmSJKk1k0qSJEmSJElqzaSSJEmSJEmSWjOpJEmSJEmSpNZMKkmSJEmSJKk1k0qSJEmSJElqzaSSJEmSJEmSWjOpJEmSJEmSpNZMKkmSJEmSJKm1VUc9AEkS/PdXnjnp/TfcfHtzefWUj933X06pNi5JkiRJWh5XKkmSJEmSJKk1k0qSJEmSJElqzaSSJEmSJEmSWjOpJEmSJEmSpNZ6TSpFxA4RcWlEXBYR+09w/5Mj4saIuKD59x8r+ruSJEmSJEkand66v0XEAuAzwNOBq4BzIuKEzPzluIf+IDOfNc3flSRJkiRJ0gj0uVJpW+CyzLw8M28DjgZ2nYHflSRJkiRJUs/6TCrdB7hy6PpVzW3jPS4ifh4RJ0XEQ1v+riRJkiRJkkagt+1vQExwW467fj5wv8xcHBE7Ad8ANl/B3y1PErE3sDfAJptsMu3BSpIkSZIkacX1uVLpKuC+Q9c3Bq4ZfkBm3pSZi5ufTwRWi4gNV+R3h2IcnJnbZOY2CxcurDl+SZIkSZIkLUefSaVzgM0jYrOIWB3YEzhh+AERsVFERPPzts14/rQivytJkiRJkqTR6W37W2beHhFvBE4BFgCHZObFEfHa5v6DgN2B10XE7cCtwJ6ZmcCEv9vXWCVJkiRJktROnzWVBlvaThx320FDP38a+PSK/q4kSZIkSZJmhz63v0mSJEmSJGklZVJJkiRJkiRJrZlUkiRJkiRJUmsmlSRJkiRJktSaSSVJkiRJkiS1ZlJJkiRJkiRJrZlUkiRJkiRJUmsmlSRJkiRJktSaSSVJkiRJkiS1ZlJJkiRJkiRJrZlUkiRJkiRJUmsmlSRJkiRJktTaqqMegCRpamutG0A2l5IkSZI0eiaVJGkOeNyOC0Y9BEmSJEkaw+1vkiRJkiRJas2VSpIkSdIM2W+//Vi0aBEbbbQRBxxwwKiHI0lSJyaVJEmSpBmyaNEirr766lEPQ5KkKtz+JkmSJEmSpNZcqSRJkiRJ84xbMSXVYFJJkiRJkuYZt2JKqsHtb5IkSZIkSWrNpJIkSZIkSZJaM6kkSZIkSZKk1kwqSZIkSZIkqTWTSpIkSZIkSWrN7m+SJEmStJI56avXT3r/XxffueRyqsfuuMeG1cYlaeXiSiVJkiRJkiS1ZlJJkiRJkiRJrZlUkiRJkiRJUmvWVJIkSZIqee5xP5r0/psX/w2Aaxf/bcrHfv15T6g2LkmS+uBKJUmSJEmSJLVmUkmSJEmSJEmtuf1NkiRJkuaZ9dddOOZSkqbDpJIkSZIkzTPP3/ldox6CpJWA298kSZIkSZLUmkklSZIkSZIktWZSSZIkSZIkSa2ZVJIkSZIkSVJrJpUkSZIkSZLUmt3fJEmSpBmyynp3HXMpSdJcZlJJkiRJmiHrPPulox6CJEnV9JpUiogdgE8CC4AvZOaHx93/QuDtzdXFwOsy8+fNfb8FbgbuAG7PzG36HKskdbXffvuxaNEiNtpoIw444IBRD0eSJEmSetVbUikiFgCfAZ4OXAWcExEnZOYvhx52BfCkzPxLROwIHAw8Zuj+7TPz+r7GKEk1LVq0iKuvvnrUw5CkWcNkuyRJK7c+VyptC1yWmZcDRMTRwK7AkqRSZv546PFnAxv3OB5JlXiSIElaESbbJUlaufXZ/e0+wJVD169qblueVwInDV1P4NSIOC8i9u5hfJKmaXCSsGjRolEPRZIkSZI0In2uVIoJbssJHxixPSWptN3QzU/IzGsi4h7AdyPiksw8c4Lf3RvYG2CTTTbpPmpJkiRNaZdjvzHlY25dfAsA1yy+ZdLHf2v359QZlCRJmlF9rlS6Crjv0PWNgWvGPygiHg58Adg1M/80uD0zr2kurwOOp2ynW0ZmHpyZ22TmNgsXLqw4fEmSJEmSJC1PnyuVzgE2j4jNgKuBPYF/GX5ARGwCfB14cWb+euj2dYBVMvPm5udnAO/rcayShnzzkB0nvf+Wm25rLq+e8rG7vuKkSe+fSz53xDMnvf/Gm29vLq+e8rGvefEp1cYlSZIkSaPQW1IpM2+PiDcCpwALgEMy8+KIeG1z/0HAfwB3B/4nIgBuz8xtgHsCxze3rQp8JTNP7muskiRJkiRJaqfPlUpk5onAieNuO2jo51cBr5rg9y4HtupzbJIkSepXrLfemEtJkrRy6TWpJEmSpPlrzV2eM+ohSOy3334sWrSIjTbaiAMOOGDUw5GklYpJJUmSJEkrrUWLFnH11VePehiStFIyqSSptfXWCSCbS0mSpNH5yPHXTnr/XxbfseRyqse+fbd7VRuX5iZXtkntmFSS1NpuT11t1EOQJEmSqnNlm9SOSSVJqmSddcsKrnIpSZJmg7XW33DMpSSpHpNKklTJk56xYNRDkCRJ4zxq1/1HPQTNIhcf9IdJ77/txjuWXE722Ie+9p5VxyXNVauMegCSJEmSJEmae0wqSZIkSZIkqTWTSpIkSZIkSWrNmkqSJEmSJAF3W2fhmEtJkzOpJEmSJEkS8IYnvmPUQ5DmFLe/SZIkSZIkqTWTSpIkSZIkSWrNpJIkSZIkSZJaM6kkSZIkSZKk1kwqSZIkSZIkqTWTSpIkSZIkSWrNpJIkSZIkSZJaM6kkSZIkSZKk1lYd9QAkSZIkSSuP/fbbj0WLFrHRRhtxwAEHjHo4knpkUkmSJEmSVM2iRYu4+uqrRz0MSTPApJIkqVfOVkqSJEkrJ5NKkqReOVspSdLK5Ywv/3HS+2+9+Y4ll1M99kkvWlhtXJJmnoW6JUmSJEmS1JpJJUmSJEmSJLXm9jdJUidvP3aHSe+/fvE/msurJ33sR3Y/ueq4JEnSaNx13YVjLiW1N1fqkppUkiRJkiRV86JnvmvUQ5DmvLlSl9Ttb5IkSZIkSWrNlUpaYq4sr5M0t6yxXgDZXEqSJEnz23WfPmnKx9xxw1+XXE72+Hu8ccdq45oOk0paYq4sr5M0t2yxi181kiRJfU7iu0BAo+KRviRJkiRJPetzEt8FAhqVeZlUmq9Z3Gv/5+2T3n/HjdcvuZzssfd6/Ueqjksab77+jUqSJGnu+u1/L5r0/ttvuGPJ5VSP3XTfjcZcv/aAKyd9/B1/uX3J5VSPvdd+9530fs0OC9dZf8zlbDUvk0pmcaXZzb9RSVrKRLskSfPPO5/w/FEPYYWslEmlP372y5Pef8eNNy+5nOqxC1/3olbPPZcP/DZce40xl1IfvnroDlM+ZvFN/2gur5708Xu8/ORq45Kk2cpEuyRpKhuuteGYSxVz+fx8rlgpk0pTWbj2umMu2/jjQQdPev/Vl17KosWLuePGG6d87MLX7t36+fu0/z9vMeohSJI07zzr2CMnvf9vi8tk2DWLb57ysd/e/YXVxiVJs9VcTRTcvUn43L2HxM/+27ytesyVgRMz/ZuXSaV3PfGZox6CpEmsu25pQV8uJWl+i/XWHXMpTWaunmxLbczVRMFbH/eOUQ9h2vxs0fLMy6RSnxaus86YS0nt7fxUP5okaWCNXabeNqz5Yffjzp/yMTde9jvuvPF6rl3890kff+zztq45NKmacw69bsrH/P2mO5ZcTvb4R7/8HtXGNd/N1kTeHz551qT333HD35ZcTvXYe+7zuFbPbaKt8Mytsnc98cmjHoIkSZKklYAnrRPbYN2FYy7VzaKPXzLlY+74yz+WXE72+I3e+uBq45rtZmuibaaZVNKM6PMLse8vW7/MpdnLv0/NFr4XZ56v+cRWWW+DMZdzxVz+/9ll7Mced/2k91922TXceOO1LF5856SP3f1586s48yuf+s5RD2He2XDtu425nCsWrn3XMZdtXHfgaZPef8cNty65nOqx93jT9q2ff64wqTTHzNUv3C5Z3F/+z7Mnvf/3l/6VPy5Obrvxmikfu+XrTxhz/ZzP7TLl8//u0lu5fnHy9xuvmfTxj37Nt6aMpf4ddtgzqsR52ctOrRJH/ery2bLjN+sVND5p18mLJ2vl52xlfbsee9Kk999y2eXkjX/hmsV/nfSx39x9x9bPPVePtwDWe/bsagQz8Objr5z0/t9cdhW33fgH/rj49ikf+6nd7ltzaJP6wten3or168uu5uYbF3HT4jsmffyrnutWLM1d79j2TaMewrS843Ev7y32wrXvMuZyvjKpNMfM1oPW339q90nvv/2GG5vLa6d87CZvPrbauCTNbS8/fvJaMn9Y/I/m8upJH3vobidXHddUdvrGW6vFOvE5H68Wa0XsfPxHq8X6zm6zqxNNl0TBs447bNL7/7b4JgCuWXzTpI/99vNe1up5u3rWsV+rFuvbu7+gWqzZbrYeb/XtBcf9ukqcrz3PjsK1rLfewjGXkmaPdz7BjqvQc1IpInYAPgksAL6QmR8ed3809+8E/BV4WWaevyK/uzL6w2enPpC/48a/LLmc7PH3fN3sOpDfcO1VxlzWdPe1Y8xlbRusE2Mu2zjz8ztXGcMTX/2dZW475Ys7VYkN8MxXnlgtlmafD3y1XsfLd+1xSrVYNay6fukUWC4113VJ+ux83MFTPubvl11K3riYaxbfOOnjv/O89is97NA281ZZb33ubC7bes6x35/0/sWLy5aGaxbfOuVjv7H7U1s/v5a12vobjrmcS9ZZf+GYy5p2efa7qseUZtofPvGzKnHu+ZZHVomjunpLKkXEAuAzwNOBq4BzIuKEzPzl0MN2BDZv/j0G+CzwmBX83Xlp4dprjbmcK/7t8ev1FvsN/9zva/HKJ63Za3xJ03ePXV1wuzKZy6tD1nj200Y9hHlnrV2e31vsVda7S5Owmt9bGmbSprvOrgnRNrZ/tvV9JM1ffR6NbwtclpmXA0TE0cCuwHBiaFfgS5mZwNkRcdeIuBew6Qr87rz0jic+etRDkCTNcrO1HszOXz9w0vv/vvgGAK5ZfMOUj/3Oc9vXdoj11hlzKS3P2rvsNeohSJI0J/SZVLoPMFxl7yrKaqSpHnOfFfxdSZLmpZ2Of++k99922S/JG2/lmsV/nvSxJ+727tpD6yTWX3vMZW2rP/vJvcSVJEmar6IsEuohcMTzgWdm5qua6y8Gts3MNw095jvAhzLzh8317wP7Afef6neHYuwNDIofPAi4dAWHuCEweQ/P6eszdt/xjT3z8Y098/GNPfPxjT3z8Y098/GNPfPxjT3z8Y098/GNPfPxjT3z8Y098/Hbxr5fZi5TPK7PlUpXAcP9PjcGrlnBx6y+Ar8LQGYeDExdnXOciDg3M7dp+3ujjt13fGPPfHxjz3x8Y898fGPPfHxjz3x8Y898fGPPfHxjz3x8Y898fGPPfHxjz3z8WrHrt+Ja6hxg84jYLCJWB/YEThj3mBOAl0TxWODGzLx2BX9XkiRJkiRJI9LbSqXMvD0i3gicAiwADsnMiyPitc39BwEnAjsBlwF/BV4+2e/2NVZJkiRJkiS102sv5sw8kZI4Gr7toKGfE3jDiv5uZa23zM2S2H3HN/bMxzf2zMc39szHN/bMxzf2zMc39szHN/bMxzf2zMc39szHN/bMxzf2zMevEru3Qt2SJEmSJElaefVZU0mSJEmSJEkrKZNKkiRJkiRJaq3XmkqS1EbT7XGL5uqlmfmPirE3ADYH1hzclpln1oovSZLml4hYIzP/Pu62u2Xmn0c1Js0uEbEK8IvMfNioxyL1ZV4klSLiT8DZwI+BHwE/zcy/jnZUKyYiDsvMl/X8HC8GvpGZNw/d9qzM/HbHuAuAD2fm27qOcTnx1wCeB2zK0Hs5M99XKf49gUc3V3+amdfViDsUf2fgoYxNclQZ+1wUEU8GDgd+CwRw34h4aY3ET0S8CtgH2Bi4AHgscBbwlK6xh57jPsD9GPtenPVJq4j4IHBAZt7QXN8AeGtm/r9K8bcDNs/MQyNiIbBuZl5RKfbqwIOBpCQhb+sY70WUWoNHjLv91cAtmfmVLvFnSvPZe0/Gvhd/Xyl2b59bfb5XNPMi4jjgEOCkzLyzYtwjMvPFU91W4XnWycxbKsV6UWZ+OSL+daL7M/O/ajzPXNXX9+cMncx/PSKeM5gEi4h7Ad8GHtXjc1YREfejfOZ+LyLWAlYdPheYRrwHZ+YlEbH1RPdn5vnTjT3uedYBbs3MOyNiC8pxwEldJyKb751Xs+x5xSu6xG3G+fOI2KTWd/F4fb0mM6XP45ah59gAuG9m/qJm3KH4Twf2y8ynV4i1EHg7sCVjj7c6nbf0+V00L5JKwGaUk8jHA+8EHhURl9MkmTLza9MNHBH7ZeYBEXEg5cRmjMx883RjNx7e8fdXxIHAWyNir8z8VXPb+yhfitOWmXdExKMiIrKfivDfBG4EzgP+PsVjW4mIFwAfBU6nJDgOjIi3ZeaxleIfBKwNbA98Adgd+GnHmP+dmftGxLeY+L347NkYe8jHgWdk5qXNc24BHEWdA7N9KAnCszNz+4h4MPDeCnEBiIiPAHsAvwTuaG5OoMZB8XOBjwD3oLwXg9I8c/2usRs7ZuY7B1cy8y8RsRPQOakUEe8GtgEeBBwKrAZ8GXhChdg7AwcB/0d5TTaLiNdk5kkdwr4VeOIEtx9N+SzolFSage8LIuJNwLuBPwCDE/mkwndJH59bQ7Grv1ci4muZ+YKIuJCxr/fgb6jTazJB3DG6xm+e47vA88clfY/OzGdWiL0m8EqWTRJ2OoEa8lng5cCnIuIY4LDMvKRC3IcOX2lORqqdwEfE4ynv73WBTSJiK+A1mfn6DmHXaS7X6zq+yfR1UtzEPpSJP7c6xe7z+3MmTuaBbwDHRMTzgPsCJwD/1jVoRDyWcnz+EGB1YAFlcqPKd38zWbI3cDfgAZRJt4OAp3YI+69NzI9PcF9SbyLvTOCfm8/D7wPnUt5DL+wY95vAD4DvsfS9WMu9gIsj4qfAkmR1peNn6Ok16ft7tHmOPo9bTgeeTfk8vAD4Y0SckZkTJlVWMOZTKH8r96b8/X8Q+BLlNflAtxEvcSTwVWBn4LXAS4E/Vog72XdRp3P1eZFUysybgFObf4Ns7suBfYE3AtNOKgGDJMy5HWJMZu2IeCTljbqMSln/KygHlsdGxHsy85jlPd80/Az4ZnNAOfwh+vUKsTfOzB0qxJnIu4BHD1YnNQdq3wOqJJWAx2fmwyPiF5n53oj4OND1NRmsrvhYxzgzHXtgtUFCCSAzfx0Rq1WK/bfM/FtEDJaqXxIRD6oUG+A5wIPGL4Gv5ABgl6GEb20LhpfvN7OVa1SKvRvwSOB8gMy8JiJqnVR9HNg+My8DiIgHAN8BuiSVFkw0S5uZN1d6L/b9fQElgfqgzPxTD7H7+Nwa6OO9sk9z+ayOcZZnEPcNzeXgc/KFQK3V0BsOEkqwJOl7j0qxjwAuAZ5JmUh6IUvfo51l5veA70XEXYC9gO9GxJXA54Evt51Bj4h3UCYG14qIm1h6nHIbddstf4LympwAkJk/j4iJks0rLDM/11xWm8xYjj5PiocnGtek/M1eUyHuc+jv+xN6PpnPzM83q2a/QUnmvSYzf1wh9KeBPYFjKAn3lwAPrBB34A3AtsBPADLzN10/WzJz7+bHHTPzb8P3NUnsWiIz/xoRrwQObCZrflYh7tqZ+fYKcSbS999+X69J39+jg+fo67jlLpl5U5QdC4dm5rsjoutKpY9TkqdnATtSdkP9e2Z+smPcYXfPzC9GxD6ZeQZwRkSc0TXo4LsI+F5m/mj4vojoNOE7L5JKEXFvyiqlx7N0O9N5lJn4s7rEzsxvNZeHd4kziftQ3rwTJXlqZf0zM8+PiCcBR0XEYygzIjXcDfgTY8eZ1DkR+XFE/FNmXlgh1nir5Njtbn+ibmH7W5vLvzbvzz9RVtRNW2ae11x2/tCZKHYzG/zqzHxR7fiNcyPii4w9MTuvUuyrIuKulIO+70bEX6hzMDxwOWVlRR8HxX/oMaEEZTXI94dmoV9B2YZYw22ZmRGRsCShX8t1g4RS43Kg6xbV1WKCLS9NcmP1jrFn4vsC4ErKCs4+VP/cGlL9vZKZ1zY/bjl+BVtEvJYy09gl/u+aWE/IzOGDsf0j4keURE1Xdw6vsoiyXaXWyt8HZubzI2LXzDw8Ir4CnFIpNgARcXfgRcCLKZNMRwLbUWZdn9wmVmZ+CPhQRHwoM99Rc5wTPNeVEWMOu6okaPpcSdTo7aQ4M48bvh4RR1GSV131+f0JPZ3Mx9jtI0FZpXQB8NiIeGyXbSQDmXlZRCzIzDuAQyOiRrJq4O+ZedvgfR4Rq1Lvs+XHwPgtcBPdNl0REY+jHCe+srmtxjnttyNip8w8sUKsMTLzjBi73XBt6p1rQU+vydD36OvHf7Y0qwxrfN70edyyapQtqS+gLBioITPz9Obnb0TEHysnlAAGky7XNivzr6GsJqzlQJb9e5zothU2L5JKwFWU2c9PAPtnx7obw2I524EGKsyEXJYd90+ugGsBMvP6iHgmZatNlf3nmfnyGnGWYzvgZRFxBeVgpNpSTODkiDiFsv0KyhLSml8y326SHB+lvDeTsty+sybT/B6W1icYvC737xI3y3bGhRGxes2/oSGvo8ycvZky5jOB/6kRODN3a358T0ScBtyFbitaxvsrcEFEfJ+hA+PssJ0pyrY3KMm2r1ISYsOxq6wQaWazLqQseQ/g/ZlZ68TyaxHxOeCuzVL7V1BWKUzb0OtycUScSFlpmsDzgXO6xAa+SFmx+brM/G3zfJsCn2nuqyJ62Cs/dIJzOXB6RHyHse+XGjVbevvcoof3ypB/j4i/Z+b/AkTE2ykJjU5JpSHrRMR2mfnDJv7jWbrEvKt3AT8cmqF8ImWGtIbBQesNEfEwYBEl2VFFRHydUtfjCMpqy8HJyVcjostqvXdFqX+2WWa+PyLuC9wrM6tsxQSubP4fZrMC5c3UW8HV50oi6PGkeAKbA5tUiFP9+3NYjyfz41dSHr+c26frr83774KIOIByrF5zYuaMiBis/Hs68HrgW10CRsRGlMnwtWLsLov1KVuna9kXeAdwfGZeHBH3B06rEHcf4J0R8XfK52O1cgOx7HbD+9B9u+GwfennNRl4OssmkHac4Lbp6PO45X2UyZIfZuY5zevym44x7zp0LAolobfkeqXj8/9sVvm+lZLsWR94S9egTeLx8cDCcYnx9en4uRjZS6mb2aV5AQcv4maUQsBnNf/O7bLktlndA/BcYCPKrD+Upd6/zaFaJdOM/7PMfORy7nt0ZnY9iepVlLo4nwXumZkPi4iHA8/OzP+sEPt+E90+mD2uEP+5lMRVAGdm5vFT/Mp0n2cNYM3MrJKlj4hLKB885zF00FpjWWlz0rc1ZVvA8DLyKkVGo2y92iSHtsFVittrYdeIeOlEt3dZkdKsHFqerDiz3avmYPUZlL+jUzLzux3j9fq6NCtY3kGppwKwmNJw4LNd4o57jlMpe+X/jaG98l1WGESpSbQ8mZWbANT+3GpiVn2vDMXdkLJ1523ADpREx55ZqYBplKK0h1KS1UmZcX1F1itKuyGlLmQAZ2Xm9ZXivgo4jlK34lDKe/4/MrNKsi0injJI5NUUEZ+l1N14SmY+JEoNkVMz89FT/OqKxt8Q+CTwNMprfiqwT6Xv0Asy8xFd40wS/2ZK4qGPk+KbGTuJugh4x/gVTNOIW/37c1z8JSfzmfmAiNgcOCgza53M96I5xv0DZZXsWyifL/8zboVul/irUFa0LPnMBb6QHU4Mm/+XL6Ns1xtOHN9MqalWa7v0nBMRF9BsNxyc10XEhZn5TyMd2BQi4nWUhOP9KTUsB9aj1CXuvHtheccv2f924WmJiMNY/oKSWX183uQtnkw59hz+rr8Z+FZmTjvhNi+SSuM1M8+70HSDyszO+3wj4szMfOJUt00j7jMy89Sh61tS9ljvBdyYmdt0id/E3IJysD2+80bnFVLN7OrbgM8NfYhelBU7cUTZAz4829+5GGNEvAU4JjOv6hprXNznTnZ/jS/ciPhJZj6ma5zlxO7tgz8ink1ZAbF6Zm4WEY8A3ldhtR8RcX5mbj10fQFwYWZu2TX2UMxeEmJ9i56Lgc5VEbEu5Tty2p1wJol9XmY+Kkptooc3t52RmU+a6ndXIPbzs9TFm/S2ljF7/9zqW/M98T1Ksv0VXU6cxsVdALw5Mz8REetT3jNVl/E3SZPNGfs9Nxc6S65NKdy7SWbu3ZzMPyi7d5Y9PzO3Hp50i4ifZ+ZWFYbdq4j4T+DHM7SSqJqICErXpL46V/X2/dn3yXz0UEy/+Vw5vMYJ+yTPsQ6l3uQdQ8+5Rlbojh0Rz+uabJwi/mlMXDR+WuctMQNd6wbH5oPPrSjbDc/POrsrqr8mQ3HvAmwAfAjYf+iumzPzz11iT/Bc61GSMosrxOq9MUofljfegVrjHrw+427rdKw4X7a/EaXb06Cu0hMofyBnUW/5+8KIuH9mXt4832bAwq5BM/PUZrZir+bf7ZTkzzbZbM+o4BjK6/B56i/HXjszfxpjaxPcXiNwk4T4OKX6/nWU1+VXjOsMM03rA6dExJ8pnZ+Ozcw/VIi7S3N5D8p7cTCLuz2lu9S0T86GvgxPi4iPNrGGl5F2/lLsedbg3ZQDv9Ob57qgSQBPW8xQYdeI2IVSxHx1SheyR1AvIXY4ZZb8hub6BsDHK86E9FYMNHrsXBc9dK6KCVqsDn921VqRR7975d9B+X851W1t9Pm5NX71w5K76PheGYodzeXqlNnW3aM0Je38PsyyLXhX4BNZmoJU1awm2ofy/riAsmLpLDrUU4yZa29/KCWJ9/jm+lWU92GnpBLwj+YEeFB/ayFLOwZ1FhGfmuDmGykr27/ZMXwv22uWdzI80PX7PzMzIo6nYpe9gT6/Pxt91g4CWJiVi+ln/+UGoHQIexplNS7AWpRVeY9f7m+soMw8rvluG//9XGvF7HB3vTWB59Ht3GImutadEZW3G45T+zUZyMz8bUS8YfwdEXG3GomlKNuvj6BsDSQirgdekpkXdwjbW2OUaDpiNz/vk0P1lCLisMx8WYfwfTZyGbYnpRHQsE7HivMiqdS8Oa+lFIn7AWUrQ5Xlo0PeQtkPenlzfVPgNV2DRin2eVdKYmP3LN0ZrqiYUAK4PStu7Rjn+ihdmQYHf7vT1HCq4P2UA+zvNVn/7SmJt86a5Ml7o2zX24PyZXBVZj6tY9yXA0TEtynFY69trt+LUreli/FfhsOr2Kp8KTYH7/ux7IFCjS/c2zPzxnEJyE5y5gq7vodlE2K1Chg/fIID1gm3xE5X9lcMtM/OdX10rvoY5cT9JJbWaetD9b3yEbEjsBNwn3EnxevT8cCyz8+tzOytxXqfscf5UUR8mrKlcXhbcI3tb/tQGoycnZnbNxNkXZP7vbUUHucBmblHROwFkJm3Rp0P+E9R6tfcIyI+AOxOabxSy5qULZKDg+vnARcDr4yI7QcnE9PR43tyopPhJU9LnZPis6Ofsgvvob/vT+j/ZP6O6KeY/m8pny29lBugbF9esiIkMxdHWV3YWUQcRKmhtD2l7t7uQK2aZ0sa0wz5UXTojJUz07Vuf8pE2IWU88MTqVeTsPprMuQrlM5v57F0kmbJ01Imaro6GPjXzDwNICKeTFnoMO0EZ07QGCXKls91K0wADe9Ceillu/RAp5VnOcG234rj7vVYcV4klSgHNn1VlQcgM0+OsrT7wc1Nl2Sd9qjXUzpK3JOy8uk31D3oA/hWRLyecpA2vLKlxrLGN1A+LB4cEVcDV1A6wdTwj8z8U0SsEhGrZOZpUToR1HQdpW7Anyiz9LVsmkuLlkLZN79Fl4CZuX23Ia2QIyknTs9iqBZMpdgXRcS/UFrcb04pjloluZGZ72hWtg2+CE7PjlswxpkoIVbr73SViNggM/8CZWaIup/dfRYD7bNzXR+dq7amzN7sTDmAOgr4fmbdfeJD770bKQfdNVxDmeF6NmO7Jt5MheKOjeqfWxGxfpZ2v3eb6P5Ks6ATbkPPelvIBge+w7PwtU7k/5aZf4sIImKNLFs0HtQx5ndg4pWnzaqRWm6Lsq1pMKn0ACp0+MrMIyPiPJY2F3hO5c+ZB1LqNd0ODGo4nUopVDutbrPR8/aaGfr+3x54TUT8jpLkqNUcpc/vT5jgZD4zazUBgP6K6V/T/FuFesW/h90SEVsP3nsR8SiWdvjs6vGZ+fAoW7zfGxEfp07XZ2DJcdDAKpQVdBtVCN1n17pdgS9Vfu8t0ddrkpnPai5rJnrHW2eQUGqe6/So1C24OTZ8LWUnznnAXSLivzLzo13CLufnanoaN/R4rDhfkkrvn2xyLCvsT4yIl4y7aauIIDO/1CVuZu7azGg/j7Jy5oGUqvPbZr1OJ4MiiW8bfmoqZJ+zbAd8WvPhsErWrU9yQ5S6J2cCR0bEddTbWvc6ygqlhcCxwKsz85c1YjdOj6Xd5ZJyIlulS0NE7EPZdnAzJdO/NaXr4amT/uKKuXtmfrFZ7nkGZQawxkwIwJsoB2d/p7wup1BWo3UWER+izIQe2dy0T5Q24LVWL/WWEKPMQP84Io5trj8f+ECl2FBafS8A3kj5Qrkv5fNm2mJmOtdV71yVmRdQVirtH6X7017AgRHx9sw8oUts6HevfGb+HPh5RBw5OBnuQR+fWzMxCzr83bYm5bPgPOokffo+ob8qSse9bwDfjYi/UA4Ku/h+RDxz/IrniHg5ZcVPrVUc7wZOBu4bEUdSSg+8bLrBxp00XcfS7qzVtmE07kNJrA8mI9cB7t1sSZpuUmwmttcQEatROqkumUCh1LSsUZR+xwoxJtLn9yfAezLzP2i6SUbEguZz8oU1gjeTyluztJj+W7JCMf2Jkr6V7QscExGDz5N7UY57axis9vlrRNybMjFbMykx/H1xO2XC+pXTDRYz07Xu2cB/R8SZlN0np1T+rq76mkwkIu7DsvV3a0zOXB4R/05ZgQ5l8cEVFeJCWV19U0S8kLI67O2U16pLcmaVKKUoVhn6efCeqdFZEvoZ9/Cx4lcqfS8sMS8KdUfEbcBFlNbT1zAuqzjRUrNpPMeBQ1fXpMygnZ+Zu3eNPe557kn50N+TUjTxvjXj1xLLqdUwUGP5bpOoupXyR/1CSmeMI7NOh5YPUwotXtA11iTPsRtLD/yqdZeLpmBpRDyTslLs34FDc6hQdYfYZ2fmY5sTy09R/p6OzcwHdI3dp4j4BfCIzLyzub4A+FmFGdZB/LUpCbFnNDedAvzn+GXUHeI/lDJLHJSVMzUTnNXFDHSuix47V0XZ5vkCSgLvH8C/Z+bZFeIOEvhPALakrPqjeZ7zMrNGu9grmLgoZY3kzCBh+M/N1d66YvYpSgv6AzKzynbpZuLn3Sz9PD+DUhOmdsHuJ1G+507ODnVWImInynL9nbLp9BKl/ty/ULZ/VGtQERF3Z+nJ9tldTraH3tsTzRJmxff4KynJtdOb53oi8EFKEus9mfm25f/2aEXEF4DVgMFx7YuBOzLzVRWfo2pzlHHfn4MuZO+v+P15GHBpZn6oWZV7DOX7/z0d4/a6+ix6Krw87jlWAx5Eed0vqXWS2SQIDqScC32G8t/x+Sa5N+vE2K5157D0M+YmSsH0Kqusmtd7R8p53HbAd2v9bUbEmuP/ZprVrTV2zRBlJ8gewC9ZWn83s07t0A0o27qXdNymfNb+pULsi4FHUCawPp2ZZ0THxg4R8VtKHb/evov6GPe4+JtTiq9vydjP82mPfb4kle5OOWjfg5K9/SpwXI036yTPeRfgiBp/bJM8x/0y83cV4lTv0BKTt7eu1S1sHeDWzLwzSge7BwMndflSjOVswRioNRPafOEelplXDt22d2Z2Lh4dTUepiPgkZZvX8THUJadj7GdR6pLdl6W1YN5baRXHNpSi2psydhakc+KnSSo9efD/r/n/fHql2AsoM06d6m2twPPUPpD/Wma+ICIuZOID1yoJt7mkWamxB+V1Phb4WmZe18PznAY8Y/BZ1RxonlpjxUvzfTewJuW7726z9WB+WJOw2o7yfvxBZn6jp+cJ4BdZr/vTcZSJq+ET+a0yc9KueVPE7PW7KCKeCnwOeA7wKkrdpmdVOojvtWj0TIhSL2xbyknDTzOz6+qw4diPZ9nvuU6r2odiL3PSUetEJJbTHCUzazRH6U3z934kZfvb9pTjxE9UiHtwc8w80WrN7Jr8ibIdbWBJ4eXM3K9L3KH45wKHAEfVPB+KUv/lsZn54+b6GpT6TdWS7BHxfkrSYdC5bn3gk9nU/5tmzFWAvTLzyCkf3EHzfb8D8HLgnzOzc1OnJu6YLsfLu61D/EspNT6rJKlmSkS8mbLK5+eU0gabAF/OzH+e9BdHrO9xR8QPKZNhn6A0Y3k5JS806fn7pDHnQ1JpWLN0by9KEuXtmXnEFL8y3edZjdKy/MFTPnjyON9i8u0SNTLEX6UsqXtJZj4sSg2EszLzEV1j9ylKTYV/pnTyO5uyR/Sv2WFJ87hZ/vEZ6JozoddR6mW9IZcWpqvy4d+sErkPZanxVpSlmKdnZqeuLTHUOrvrGJcT/1LKNpULGerkUylxuhfwYcpWncHM8zsy8+iusZv4JwAvrr0yoYndy4F8RNwrM6+NUlR0GZVe914710Xl7jIRcSfl/TdI2I357K01SdC81x83lOTcgLKKo2utnOU93w8zc7sKcfrs5vc/lFo2gy1NewD/l5nLdJyZRuzhbYerUGb/fpuV2nVHxAXjvy8nuq1lzN5X5UTEdpRtdT8GXlBxZchkWyI7n2w3z1G9Rt5MJMMi4gjgAZRttsOz/bXaRJ9PaW//f831+1NWE9c4tvg5ZZvemOYoubTI8XTjTnSceyPlmO5z031fjvv/uRolifoj4IswN5Kb40XEGZn5pEqxHkg5kdyD8lofSpnc6HxiGBFnZebjusaZJP6HKCvbXk6pG3QgcGBmfrpj3DMzc8IafF1FxA6UXSaDrqlfpbzenbbAxdKte1+mrDYd3rp3UNfz0KHnOYny2bJ4ygeveMz/zsx9l3eu29fCjIhYtcvrPqqJk67jHhfrvMx8VERcOJhgi4gfdElazZeaSsCSN8FelGKLJzG2QFXX2MN/EAuAh1C223X1sQoxptJXhxaiFP79T8o2tZMpSY59M/PLNcJn5l+jLFU/MDMPiIifdQmY/RaiG3Y1pWjfMRFxbJbCa7WKvb2SctJ0efP63J3yxdtJlnoSz6ZktfvwxxorniaSmUdFxOmU2figJJQXVXyKvwEXRsR3GdulpcaJQi9dDnNpweXXZ+bbh++Lssz57cv+Vmu9da6LfrrLTLRSaHlJ5i4+DPxs6OT7SZQOSJ2NO9hZhbKcv1aR1z67+T0JeNjghKZJSE6rKPIEhlv03k6Zmf9RpdgAt0bEdpn5Q4CIeAIdC972+V0UETezNGG1BmWLynXN937nJOFgxV1MvB2jcyelKNvTH039GnmDekdrUv5ufk55jR4O/ISyiq6rbSi1Mvqa0X0bcFqUTsRBmYTo/P3f6Ks5yuWU+pXDCeVBE4DPU1b+Tcf4+lV/oWz1+Dh161iNr6kKdF99Fv0VowZK11fgXVFWzj+Lsmrpzog4hLLqp8tqyFMj4nnA1/t4r2dpvvJ9yt/lX4AnZp2u3t+NiH9j2U6eNXYpvIxSS+k1lVf7PLOJvTEwXFrkZsrq/1r+Smno8n3G1sjscpw7WNjR27lulLIxH6TUxdsxIrYEHkeTXJ6mcykdQQeNisbXgqwxcdLHuIf9rVmd95uIeCPlvLRTQ6p5kVSKiPdSPjB/RfmDfketTN+Q4T+I2ylvsBr1Gq7IjttcVkAvHVoaz8jM/aLUD7qKshXjNEpGvauIiMdR6ikNitFVe0/3MRM6LDN/H6VGxmcj4hhgrS7xotnfT0koAdy/Um5w2I+jv9bZ745SD2L8F1bnvexRilwfAnw7m7pKlX2n+deHvrscPp1lE0g7TnDbdPTZua6P7jJ3BTbOzM8ARMRPKSc7SZ3XA4DMPLSZ9XtMc9P+FZOcwydSt1PaUr+gUuw+u/ldSlnePVghd1/gF5Vi3wl8I4caRUTEsyp+pr8W+FKUbe9QTnJeOsnjp9TnTGj219Z+vL46Ke3E2Bp5hwM/AzollYaSYUcDe2fmhc31hwH/1mnES11ESQxcO9UDpyMzvx9NCQNYUien1vHcDVGao/yAus1RHjludci3BitGotQVmZah/58Lstkm1ZNHD/28pKYq0HVL40wUXn44Jem4E6VG4ZGU5On/svRYcjr+lVLg/o6IuJWKq1oBonT0/CSl4+Y/AZ+OiFdk922qg1XUwytkazUu2rNJFDy9OTb/aVbYXp+lLvDhEfG8zDyua7xJnND8qyYzB4s7zqUpZwJLdkasUelpDqOswntXc/3XlHOYLsmZt1K2o95KySscX3MFV+Mw6o972L6Uidk3Uyavn0LH45Z5kVSiFCq+nLJKZivgg80fdK12qGQpoPUIytLDF1A+/Gv8cX+D5gAsIo7LzE5dmZajaoeWcVZrLneizA7/uWKiY1/KQeTxmXlxs8y7Vge1vmZCB84FaGZxXx4Rb6DMQnUxE91l+myd/XJKXazVWLr9LanThvagJv6BTQLvsCYBV0VWKPY/iV4O5KN0OHw9Jfk4fPK+HmWLQA19dq4brAQZdJf5M927y+xHWZ4+sDplZcE6lC/3YzrGH7aAMsu1KrBFRGyRFbqoZL+dyKp38xta5XsX4FdNIg9KPZtaHaAOBN4aEXsNJcXeB3RKKkXEJpn5+yzdVLaKUteDzLyp23CBiT/HB6qtsuhDzEwnpbtS/uahvHdqevAgoQSQmRc1x3fTNvQ+Xw/4ZfM+H/4bqrW19g2UhiW/aK5vEBGvzMz/qRB+V8qq3H1Z2hxl2tuNhywc/C1B+bsCNmzum3ZB+iGXDSaW+kiKZ+abhq83yeXOpTX6XjkfpYTEDZST1P2Hko8/aVZbTtsMJK4/RtmK9UtYsjX7fynHkNPW8wrR51PGfTrlM/HAiHhbZh476S+uuO9HxH/RU8OIno9zvw88DRgkZtYCTmXpOUcXG2bm16I0oyAzb4+ITknmLGVAPhERm1EWkHw/In4HfDA7NniKpVvcqo97WGae0/y4mEqrWedLUqnPD4ktKCche1FaZn6Vsi2r1oH9cAamSj2f8TLzu1H24Q86tOyTFdqhNr4VEZdQTgBfH6WrUpW6Ddm0tAcGBfaur7TdCHqaCR3IzFePu/4ZSoeMLjH3bi57OalsZg5OyJ5qKlEK21YpnDteZn4P+F5zsLcXZYnzlZSl9V/Ojh1PoocuCkP6OpD/CmUb8IeA/Yduv7nSUm8y80tRioE+hfLZ8tys17nu21FarR/A0q3MX+gYc/UcKp4P/DBLN8k/RWkMUEUs7aJyMWMTqJ2TStFvJ7L1KUvgnzF0W9fE70xs8R7M8B8bEe/JzGOos53xG/Q06dNzcrBvfW/H+CBLt48uqZFXIe7Ar5pVs1+mvL9fRFnp3sVMvM8BXj1YaQlLthy/GuicVMrMW5qE4baUhN4pWaHbLmXW/4cR8X+U/5+bUY4X12Fp8fsuHk45Tv9ic6x4CKW7b43k70T+CmzeNchQgvCG5voGlBpWNRKEUJIyl090R3ZoMgBlGwHleGWzzHx/lI6b98rMrlvUBx43vPosM78eEWfUCNysTBx/LFejkP7/Ax49WJ3UnA99j9IUpIYvUlZCDlYmv5gyGdb1/+VMNHVZc3ilT2YujtJEqoZbopQBGezGeSylZltnmXlFRHyTkgR7MWXL7gUdw/6UclzR27ibeNVr2c27Qt0DEbEh8Kfs+AJEKez6A+CV2eznjYjLK51MjineHBWr+A/FX5XSbjabD/3HUIqjdqpNNO45NgBuylKTZx1gvRpbPSLiK5RtB3dQTirvAvxXlvpEXWP31i2siTdREiIz8wEVYq9JWYGypIsSpVhf52ReRJzWY9Lq88AnKiYdxse/O+Xk4MXANSxd5v1PmfnkjrGrd1EYF39wIJ/AOTX+fsbFXwDck7HdiDpvu42ylfaqzPx7RDyZcnD/pRyqszSNmI8Grhy8BlHqWbwIuITSDWbaCbGIuCwzH7ic+/6vxt9nE6u3LirRQyeymdJsDRhsJamyNaCJe35mbt187x9FqZXzjK6f5zHUVTMqddgciv2UzPzfZgZ+GV1Wh82U6GE7RpMU2J3yvTaokfeTmp+JzXfo61iamD0T+GyN79C+NccuWw2ObZvP9l9khQ5tEfEq4D8oK0KCUgftfZl5SIXYa1BWmQy27PXyWkfZNnUUZaXbscD7s2MtnnEnZ6tQjuu+lpn7L/+3VijuRA0Aqn3O9DkBERGfpUyYPCUzH9KcB5yamY+e4ldXNP4WwGeBe2ZpMPRw4NmZ+Z8d474beDLl/+GJlFIAP8zM3TsOmRgqiNxcXwX4ea3J1OW8Xzo1jGhi3Dszr4l+m7r8CHhTNtu6o3SDPjArFHuPspX8QOBhlGOjhcDu2azmnGbM+1MS1bsCV1K2wH270nnWz7LUT60+7nHP80mWrWW3iJIgWz8zW9eymxdJpSa792HKzMr7KctSN6R8+L8kM0/uEHs3yhvr8ZQtZEcDX8hKSyibpW63UL5o16LMgECF/cnN7NVHKEvf3k8p8Hg+8EjKMuHOdVuip5alTewLMvMREfFCytaxtwPndTlRiFIv6ChKPY8Ps3SZau1uYb0lISLia5QZ4UHdqr2ADTLz+RVif4CSvKteUykifkXpinMFZVtAte2pEfF1ygHrEZStb9cO3XduZm7TMX71LgpDsXs7kG/iv5FSJPoPDK2aqfS6X0DZPrYp5fPxW8CDMnOnDjHPB56WZSvtEymfuW+i1H94SJeDvyjbf0/PzM+Pu/01lCRzjTp5RA9dVIZi93Jg2cTZmHKQ8wTKSdQPKStbr6oQ+wXAR1n6mfvPQJWtARHxnczcufl5Fcr33lszc5WOcXub9ImI92bmu6N08xwvs1IHxT41iYLnUf7+hxPWnVZaRo8dmoaeY3VKXaIELs2Oq1mH4g6KpA8bzA6/NZezcqRF/I9SXu+Dmud5LSUJ/9YucZvYl1Jq2f2puX534MdZoWtlj6tDBom1nSnHWZtSjgOOpHzGfDAzt+gYf7gb2+3A7yp9JvaWIGzi9TYBMZTIH068/zwzt+oau4l1BuWc5XND8S/KzId1jHshpUzKzzJzq2ai4wuZuUuFMX+UMrE2fBJ/YWbu1zV2E/8synfmcMOIj3VNzAz9vzxiOomGFXyOR1OO5a6hfG7dG9gjl9Zc6hp/VZbWmev8ed4sKPkF8E3gJpbtFPxfE/3eCsa+iqUrfFeh1JYKynnRHV1ij3ueZb5HY6iW3XQ+Z+bL9rdPU5Zc34VyYrZjZp4dEQ+m/HFPO6mUmccDxzcrcJ4DvAW4Z5OlPz4zT+0y8Mxc0OX3p7Av5SR+PcrS7vtl5vVRlhyeQznw7mpPyhf5OU2CqVrLUmC1iFiN8rp/OjP/ERFd4/6Gskz9XpT9vFdSZrVrdwtbK0tBzWiy/O+JiB9QEk1dPWjcF/dpUVoB19BnTaUdKsRYnk9n5v9OdEfXhFKjeheFIW+jFDIdcyBPSdbWsC/lPVNjG8N4d2bZB/5cSjeZA6Njh0ZgQS5djbQHcHCW1RDHNUmsLt4CfCMi/oWSYIeSsF6D8jlTSx9dVAaqdyIbcihl2+QgQf2i5ranV4j9LnraGjBIKDU/30n5m3pb17iUOko30Uz6ND9DhUmfwQRDZtbq3DUK36QkTM6jXvMP6LdDE1FWVR5OKXIflHqTL80KNc8oJwvXUP6OgnKMtBGlUP0hlFUSXbwdeA1lpVVQjmO6bgseuIoyYTVwM+UYqZPlrQ6he6Hrgd9Q6m1+NDOH67Qd20xMdJKlFAPAkl0QXWM2TgG+FqXT6SBBeFKl2FA6Pw9v2X1vhe/QgX80SbBBQmwhSyetalg7M38aY2u01igaf2tm3hkRt0epkXcdlUqPZObbonTEewLlb/NgyhbqWqo3jGisHhEvBR4fE6yczW41FQcrz89pzslfQ9mudzJlgrmWbVk6ubF1RHRNWr+PpYmkdTuObbwFTczxW/RrbQccqF7Lbr4klVYdJHci4n2ZeTZAZl4SlYpGZ+YtlJmPI6NslXo+pU5Jp6RSz25rVg/9Jcq2j+sBsrShr1Ecse+WpZ+jHPT9HDgzytLMTnvkM/OTwCebWHs2//4F+EpEHJ2Zv+kSf0ifSYifRcRjB+/ziHgMlQovZ491PjLzdxGxFWX2EOAHWQrg1vCDiHgzY5d5H1Rr9plluyhsD0zYZngaejmQH3IlFfdpj/OPiNiL8loMZvpWm+TxK2JBLC1k+FRKcfqBTt9pTULj8RHxFGAwS/Od5SUkO6jeRWXI6yidYO5COSj5M/UaLyzMzOGVM4dFxL6VYq+SY7e7/YkyS9dZlNo7E9WC6JQM73PSJyL+dYrnrjJb2bONM7OPyYLeOjQ1Pk7ZHnkpLNlqcxTdm2kA7JCZjxm6fnBEnJ2Z74uIzvWmmqTpZ5t/VQy9F6+mFHH+JuX13pVS/6Or3Vm6OuTlg9UhFeIOPHx5q0K7JPJjkl0QEdFpF0Tj7ZTvt0GC8GeUCc9a+pyA+BRwPHCPKCvcd6fUFKrl+ijb6wdJq92p01Hx3Ci1Gj9PSYYvpsJ7vEmwbTA0AbY65Xv5l8BDusYHyAkaRjTfz123S72WUh/rriw9jlvytHSrqfg5SoFugMdRFoAMVp4fTHnfdBIRR1AWUFxAKZcCZdzTTipl5nu6jmsS13ZdzbuCqteymy9JpeHs+PgPzOr7/5pEyeeaf7PZoDPLKpRM9KBLSzC0BLmr6KllaWZ+ivLFNfC7iKiS9GhWD30E+EjzuhxC2SJU6yRiXyq3coylRfRWA14SEb9vrt+P8sXVWXOw90Hg3pm5Y0RsSSmY2LnFZUTsA7yapV9QX46IgzPzwK6xKQfYq7G0WOmLm9teVSH2hF0UIuJjwE+mG3MGDuQHLgdOj4jvMHbVTI2T1pdTDkg+kKWg4WYs3ZY5XUcBZ0TE9ZTP8x8ARMQDqVd88X8pn0+9yB67qGTpPFK7E9nA9RHxIpYu3x80qKjh5Ig4hbFbA2rNyg+3g1+TsiWrxqx2nwbdkx5EqR00SELuQoWC7jPkxxHxTznUSa2G7LkrFrDaIKHUPN+vm1XRNdwZZavnYAXe8ElT5+PRJjHwHsr3/qosXTXXJeE2eC/+X/Nv4JsdYg7rbXVI4x4RcRTlpPVO4CzgLdlxqyE97oKAkiCMiLMpr8UewN2o01V6YKIJiBorW8jMI6N0l3tqE/s5Wbfz3hsoSYcHR8TVlFUtL+waNDNf3/x4UEScTKkt0ykpExF7Us4Hb4mI31D+Po+g7AjpPObxxn3n/yvw3x3j/ZCSfDi3xrH+OH2uPB/YBtiy0g4ZACLiU5Pd33HVeZ3VLlPIzBOj1PedqJbdf08n5nypqTRZXaI1M7PWwcKc0szeLleNVSkxtmXpcTlUmDYivp7T2LsdES/KzC8vbya3xslwcwC5A2Wl0lMpK1uOysxvdI3dl1hOEb2BrFNM7yTKdpd3ZdlvvipldrFzocEo9QMe16z6o8mWn5XdamSt2my/WmYv/0S31RQRv8/MTTr8/qRbITPzvdONvSLP0zV+MzN3eGa+qEuc5cR+LM0W1aH3yxbAulmhvlffIuIKJl450/lEqpllfQnL1rHpvLWuWR79acrJWVK2Ye5T47OliT+8NeDMLNvLexERZ2Tmk6Z+5GhFxKnA8zLz5ub6esAxPa0Aqioifgk8kMp18qJs5z4a+GqFxMBE8Q+hvL8HbeFfSFnx3nkrYpQCr59k6d/Q2ZRtt1cDjxqsGukQ/5Im3nksnZUn+9neXEVE/A8lObMnZfZ8MXBBra2fTWLmMyxNWO9JKQr8mOX/1grFXVKrLiJ+lZkPGbrvZznNgtoxcVfpf8vMSY/xpmswAUE5N9ojM4+sELN6k47lPM86lFWuN0fEvpn539OMM2k9vC7HFRFxESWpdlnzPGcBe/b5/Tb03Fdm5n0rxns8yx5bTHvFT/PaPKI5Tr8E2DubbcZRoUZWE+cY4M05VEu1QszbKPXIvkbZzjwmEdRl4jAi7tZxF8+KPs+Euym6/P+cFyuV+lyiPpdNlDSKiHvV+sOLsr3ruMz84HKef7rFAAetvdeb9FHTEBFPp3yR70xZDXI05UPulkl/ccXjT7rlJTOfPd3YgxO75sSvLxtm5tci4h3Nc97eJG1rCIYOgpufu2bsB60574iIB2Tm/8GSA/ta416eTmMfJHUi4mGZeVGdIU36POuVq3WKR2fp9rgwIlbPzCrbaYdinz3Bbb+u+Rw9G67jtSZlu/TdKsU+kXKieiF1a1gMOgJO+zNqBeIfFxHfpTk2qXVwFWVL+sAqlNd/o65xZ8gmjK1vcBvloH4u2LGnuM+mzGofE6Vg6lcp3bY6d6xsvI6yEuLNNAlOlq5ynbYm0f66XH7R304JpcaNmVmz7s4S0d820uqrQ8aJzDxi6PqXo5Qd6KqvXRCXUFbg7pJLu0q/pUO8MZok0huA+1BWm32vuf5vlHISnZNKlBVV2zQriL9AadLxFcqOhWrGHZt3WZVzLnAx8Mfm+vDxW9e6obcN/j9m5vkRccVMJJQaNVfnVN9GxgysPKdsSf1lRPyUsavxuxzL3Ity3LYHZdXzVynnu50bUs1EQqkx3IlxTcoCivPp8P9zXqxU0oqL+h1seu/SUlNz0PQVyodD9T/siPgjpYbNUZStUeOz22dM9Hstn2OwDW6wjXEzSreDGi2FT6dsHflulm4QjwU+UmPGv1l59lLKPnwohZEPz8xPdIj5syytOZ8CHEbZ6gXlpOzlmTnpar0ViL+8REBQWsVu3CV+8xw/BFanjP8rPcz0PYwyIz/4b7me0hXz4gqxP0dJ6p3A2IK6c6EezIyKiB9m5nYV4lT9DG9iHsgkB6eVVkG9hlL88lbKyVqNbTuD2MMrw26n1OJ7X9dVITMhIt4FvIDyuZjAbpQEyoSTNbNNRGwHbJ6Zh0Yp1rtuZlYrwNos3/934IU1JxCbsZKZf5zqsS3j/m/XJMwU8T9M2ab/dcaeQNXo0DpcU2rJNtLs2L0qIr5EOZn8QWZe0iXWcuJ/mLJi/mjK39AelOYLn4Hpn8T1tQsi+u8q/U1KEeezKCeSG1COMfbJsn26xnMMOobtR9neeGCX1Vsr+JzTXpXTJO2eR0lkHE1ptFRlgi3GdvOCkvxacr3r8VBM3FESmvdlZlZZQBKlQ3PVbWRN3F5XnsfY7oxL1DjfauLfh7IY4V8pTZ2OmOJXZqUo22CP6JJsM6mkMWp/6Ecp0H0rFbu0RMR/THJ3Zub7pxu7b81M5WA11MOB71C21XU+gZ/kObcGXpOZr6kU60DgYZSlnwuB3WvNKjbxt2Pp7PCvu6wSG/dlvhblYPsWygHxrRW+zAcnqxOuSqp4ELgFpT7R8ymrrw7Ljp0lh2L/mLKd8bTm+pMpbZYfP9nvrWDsXrbWzXXjltoPVs68Litsx2wOjhcD32bsSWWXz9zhOhvvZVyXyi5LvYee4zeU7a/Xd401FHPQWWZRc/2llBOH3wLvmcEZwU6ak/lBwvHMzOzaQXFGNH//21C6S24REfembN17QoXYm1KSbXtQZs2/mpkf7xgzKO/tN8KS+pJ3AAdmpcKpEfFxYHPgGMYeE3Updjscf6KJkuwrkRUVtpE2kz7bUZp03J+yEuLMLI1TOmu+p2HpifeYVSg1Etd9iKVdpfeirJQ5nApdpSPiwmxKFjTHpNcDm2SzxbaGiPgJZdXQuygrrq6otZ1pkufsVHKgibEZ5fXeFfgd5Vjogo4xZ6SUQd/62EY2U6KUB9k8M78XpcP5ghrv9+ZYbi/Ked15wMczs0oN25kWpezLL3JoG2/rGCaVNCwiXp+ZnZd5D8WbaEay05d4RLx1gpvXAV4J3D0za7d37EVErEH5MPooZda8RkHq5T1Xp9ULMbbt5KqU4rFBWQHVuYNak+m/F+UD7baIuAelmPnLMvPeHeJeSynIvbykz5z4MoclB3/PoRSnH7Qxf2fXk5GYgXpTtbfWzXXjTvxup9Sc+XgOFQfuEPsNwAcoM/ODL/hqJ059zTY3216em5l/nfLBKx7zfOBpmfnnKK3Dj2ZpZ5mHZGbnzjIzpflMXNJAI+tt9epNlEKrjwTOH7xnIuIX2b2m0k8ojReOoWJdpSYhuxNly/sVzW33p3yHnNxl1ezQcxw6wc2Zma+Y4PZZJSbeRvrJzHxQhdgLKNsxtqc0d7g1Mx/cMeZKkVSGJa/98yk1jzolCMcfD/a0unVLyv/HszLzqCZZs0dmfrhj3N5X5UTEQykrxV4M7JeZX+sac2XQHLc8gjKxWWsbWe8i4tWULop3y8wHNKtbD8rMp3aI+V5KR/NfUY4rTs7SkXjOiIhvsfRvaRVgS8oq6P2nHdOkkmKGCur1oTlZ3YeSUPoa5cTsusl/a7SaZNLOlITSppStQYdk5tWV4g8XMF+F0gb5bpn5zA4xlxx0RMRxmfm8jsMcjr0vZTbrMsqS9E9SVhd9CTigy6xIHwdLy3me3YD/zcwbm+t3BZ6cFQq7x9LuiTsD3wW+mGVf/r0pB2ydindGxPGUfdSDJbsvArbJzOd0idvE7m1r3VwWEQsys5eaXlHawz6m5oqfcfF7+ZuK0mXzUMq24OED1i4tv5ckRyPiM8Afs2kFHENFdmeziHg2pcX9vSldsTahdGnpvJ25bxHx08zcdmgrTOfmC03cB2c/26R+Bjx9/N9OlK1wp/aRTK0lZqaBSS/bSCPi+5SJwbMo2+B+WOM4bmVKKtcUS7ftAWO27g22HK+/vN9dWTXJ4z0pK5SupLxXvp1Lu2HNe31vI+tLM7mxLfCTocmNJav1phnzTko5jUEtteFVkNn1O24mjPv/eTvwu8y8qkvMeVGoW1MaLqj3RUqSo1pBvajcLaCJeTfK/tUXUpYEb50VCqT1LSIOp2wdOwl4b/ZTgHm4gPntlG0wXdvQDq/0qb1UfG/K9og/RykyfhnwxJygGPM0zEhrTuDdOVR4MTNvaJY8f6NC7E8Dn6esSlpSDDQzr4mI/1ch/isoW5oGK57OpCSxajgY+Nccu7Xu85RaEfPZZRFxLCWZXLPNMpRio9VW+8ygz1HactcsML4gmg6QlNohew/dN1eOf94PPBb4Xpb6cNtTJiTmgq9Fqat212a2+BWUv/+u/hIRXwTunZk7NqsiHpfd212vNlEyNjP/2GwN6CwiNqZsIX8C5UTkh5RaNp0O5pm8gUmn2eOhFT+bNdeHV/zU2OrxC8rk18MoNW1uiIizhr/vpmkm2pXPOTkDzYua1SAfoqx+GF5hOSu3GlKOO39BKVx+EyV5//qyI9Y6kDD7k0eT+HuzAwJYstui64qaKqUtRmn4/2dEbEjpNNnJXDmoUr/uzNLFazfgv7MpqFcjcPTQLSAiPgo8l3LC+k9zbEvNiykzRFsAbx58yFFxhmh4S1eUDnzrVphtyeX8XMPfBgd+mfn7iPh1pYQSlBPJmbDKBLdV+XzNSQrdZ4eCgBGxJmV5+gMpJ/JvrbGVcZx1cqgYemae3qxWmO8eTpkV/WLzN3oIcHRm3lQh9h3ABc1S9Vorfoa3HKwdEYNx1pzZvj0zJ1xl0cFMdJbp2z8y808RsUpErJKZp0XER0Y9qBWRmR+L0lH1JsqW6f/IzO9WCH0YZVXbu5rrv6bUbeyaVJqsS2WtDpaHUibtnt9cf1Fz29O7BM3MzzWXy2zpblYDd/E54GlNrCdSkgWDFT8HA51W/GTmW5rY61ImNA6ldGdco0tcVo6k8oyIiL0z8+CKIQ+l1Cf7BGVL48uZuUm+6XgfS7/j5kQJjZkyxZbDubCy7YyIeCewVvN99HpKN8Jpy6bb9lwUpTD6h4E/UyatjqB0yFslIl6SmSdPO7bb3xQ9FtSLHroFNMsO/05ZhTMcd658wPUqIr5CSRbcQSkcdxfgvzLzox1iTtblpNNrHhHXUZYaD+w5fL3LyfBMiYhDKDVsPkN5T74J2CAzX1Yhdi8zfhHxVeAflBPtHYHfZua+XWJO8By9ba1bWTQnaUcBdwWOBd6fTfvhacZ76US3Z4Vi2n2KiA9QCqN+i0oFxpu4vXaW6VtEfI9SS+1DlAO/64BHZ4VC+jNpMBNa41ggIs7JzEfHUH2vGtsZx20LGnMXHbp5jXuOZcbZ91bM6FjAuO9tpBHxRkqR7kdRPgPOpHSC+9+Ocd9FWXF/PWXlydaZmU1S+fCsUDB+ZVF7W3NEnJeZj4qxRcF/kJn/XOs55orlbUkdcBVUv5qJu1cCz2huOiUzv9Ax5vhEW1I+Z06jdIDrvOqnLxFxLvBOyrnhwcCOmXl2RDyY0jhq2tu8zdQLygzCa4EPNAmlzYAvV4p9EWXGqVq3gMycaFWIltoyM2+KiBcCJwJvpySXpp1U6nm59NvGXT+vx+fqy5soba2/SjkBORV4Q6XYfc34bTl0sPdFSvHF2vrcWjdnRSlKuzPltdiUUjPnSMqJ1YmUlYzT9SfgxMystYVspvxLc/mOoduSjtttJ1r1mJm/7hJzJjQnvvek1Pi4FXgLZbv3/SifN7NWnzOhjVsi4u40B/XN83VeeTYT24KA6yPiRZREMpStjH2fgHT9vuh7xc9alDqK52XFYreZ+YGmXtMgqTxclHZW/w2NQO1VRH9rTuZ/0yQNrwbuUfk55orBltQHUYrRn9Bc34VyTKQeRMSuwMaZ+Rng880W7IXAoyLihsw8drqxM3OZbcYRsQHwMuAglq5EnY1WzaaDZES8b3CMlJmXDO2emRZXKgmAiFiL0lK0c/ehJt6gqvx6zMFuAXNZRFxMec2/Anw6M8+ICh13NBp9zfiNn5msOVM5wda6Q3rYWjdnRcTllBmtL2bmj8fd96mOW9W+DDyOUkft0Kxfs0kzICK+Tamj9otxt29DqeG2y2hGNrU+Z0Kb+FtT6hI9jDJxtRDYffxrNRtFqRv4acrfKMCPKDWVettOUWGlUq8rfmION4tZWUTExtm9rtdwvEdTOmPdlZJYvgul8Uqt0gZzTkScCjwvm1b2URoNHZOZO4x2ZCuniPgRsGdmXtlcvwB4CmV746HZofvbFM87Iw2CpivGNl6qeh7gSiUREbsAHwNWBzaLiEdQOnp0SfycQJll/cG4259EmbFQfz5HKaD5c+DMiLgfc6d+yJwSESdMdn+l5GlfM35bjauNs1ZzvcY20sMZu7XuIcC+HeKtbB6ey6kF13W7Z2a+KCLWp6yAODQikrLa7ajBwexsFBHPp7TlvTlKAfqtKVsBq9T3m4M2nShJkpnnRsSmIxhPG73NhDZxzo/SueZBlM+rS+dK0jozfw9Un1Sbou7JWl1iz8CKn16bxWhiEbEP5bvhZuC9UTpw7j/42+0iM89pflyMq5MHNmFsbbbbKCuV1Y/VBwmlxg+b7fR/jp5qe0Zp6DDbcytbDR3rrzXuPGDN5f/a1Gb7f7hmxnso7RZPB8jMC5otcF3sysSzrLdQtvJ0Laip5ftWZn5qcCUifk/ZhqT6HkdpP3sUpRV6H4Uo9wXWBt5MmfF7CjBh3Zw2et7qMRNb6+aciDiQpVt2lrm/Vv2wZvvrcZSTyX2B3YC3NaugDqzxHD3498w8JiK2A55Jmeg4CHjMaIc1MpMd3HVKEsyA4a2X4zt41Voevy1Lu8puHRGdu8rOhCityz9J6eiXwFnAWzLz8i5xJ9qOUVPP20h7axajSb0iMz8ZEc+krPYbFEmfdlJphibaehMRa1A6G27K2I7V76sQ/gjgp1FqTSble3nWf2bNYRsMX8nMNw5dXdglcEQ8dznPtwelNuas1eexv0klQem6c+O4k5yuB35zeZZ1rjuOMssPlCUnEXE0pQim6tqI0rVnL0pNmO9QVoRcXOsJ5uiM35JVA83JwijHMpucO/TzeykJ9qqalaevoHTdPALYNjOvi4i1KdsRZmtSadAddGfgs5n5zYh4zwjHM2rnRMSrM/PzwzdGxCuZ/XXnepsJhX66ys6gr1AaOuzWXN+TMikxX5OnAP+IiL0okyWDbZ2di6JrSoMv5p0o24F+Ht2/rGdioq1P36Ss7D+PoZIdNTQr/k4Gtmtuevk8Xok7E36ynO/Q19B9onP89vOk1Mb7ZGZ+p2PsOcuaShqsJPg+sD8lQ/9mYLXMfG2HmJdl5gPb3qfpa+pVPBQ4gLHFr9cH3paZDx3JwFZQU4fnlZT/huEuZ3NilVUzw7UXpSD6+7quCJnLM34xtovScMdAOzQ2YqhzVeW4XwK+kJnLFACNiKdm5vdrP2cNTQ2hqymtyx9FWeHy02y6Ts03EXFP4HjKFolBEmkbyjb13TJz0ajGNmrRQ1fZmRIRP8nMx4y77ezMfOyoxjRqEbElpQbfWZl5VLNSfo/M/PCIh7ZSi4hDgfsAmwFbAQuA0zNz2hOQUZpQDCbaHk4PE219ikqdryeJv4BSGmR4FdTv+3q++Swi7gF8g5IcHHR6fRSwBvCczPzDiIa20nKlkqDsiX8X5Q/vKOAUyjabLubyLOtc9SDgWZTCiMNZ9JuBV49iQC0dAVxC2fryPkqno1lfZLhJJu1MOYjaFPgUS7uddTFnZ/x63lq3sujlhDgzXzLJfbMyodR4AbAD8LHMvCEi7sWynSHnjeaA9/ERsT2lIDXAd7Jjm/WVRPWusn2LiLs1P54WEfsDR1M+A/agnHjPZ2sNb/3N0oV4TiQh5rhXUpq6XJ6Zf43SUbHTaujMvAM4GTh5aKLt9Ka22mxdJTvsxxHxT5l5Ye3AEfEmyurkP1BWWAblM8AmOj3IzOso36FPoUxWQ6Xv0Ij41GT31yplMNe4Ukm9cJZ1dCLicZl51qjH0dZg5UY0neqagnenZOZTRj225YmIwyknfCcBR2fmRRVjz+kZP02udoeQKQr1ztrVYUMn2xNqCmtKc7qrbERcQRn7RJMDmZn3n+EhzRoRcT7w0sGJfLMVbt/xK7pUR5TuicuVmedPdv8KxB8/0XYCpQPsrG/SExG/pHStvYLy2TL4/uyc+ImIy4DHZOafusbSaEXEcF3TZUoZZObhMzui2cGk0jw2dIA2oRoHaONmWS92lrU/EbFfZh4wXAx42GzPnEfETzNz24g4E3g9sIiy/WXWHmxHxJ0s3eY1/JpXPZGvvbVOozEu8bM2ZUsgzPLET5/GnWxvAvyl+fmuwO8zs2vTCK0kIuLVTNJVNjNtADIHNcXLj6WsTt4OeAnwrMy0a20PIuK0Se7OLhN5fU60zYQo3ZKXkZm/qxD7NODpmXl711iaPfoqZTAXuf1tfvtYc/lcylLyLzfX96K0pO8sM08DJvsCUz2DrWLnTvqo2evgiNgA+H+Uma11gX8f7ZAml5mr9Bm/x611GoE+OzQ1NcleS5ll/QVlZnjWH7wOkkYRcRBwQmae2FzfkVJfSRqY811lmxWoO7Nsd6n/GtWYRi0zL4+IPSn1T64EnpGZ47sGqpLM3L7H8C+mTLRtAbx5qO73nJg4yczfRcRWwD83N/0gM39eKfzllK2A32HsCst5+7e/knB1TsOVSiIizszMJ051m9SHiNgnS1vbJ2Tmj0Y9ntlirs/4aWZFxFcpXfd+AOwI/C4z9xntqFZcRJw3vkBsRJybmduMakyaXSYrohsRF2bmP830mNqKiBOBvwEXAncObs/M945sUCMSERcy9oTsHpTOW38HqLHlSMtaTjv0JTJz3k5cRcQ+lBqkg9dgN+DgGqvDI2LCbq/z8W9/ZVK7lMFcZlJJg04qO2fm5c31zYATM/Mhox2Z2pir3cIi4oLMfIQfzGPN1NY6rRyGT6ojYlXK1tE58/cUEadQEmJfprzfXwQ8MTOfOdKBadZYGbrKDmoGjnocs8HythoN1NhypGU1Xd+WJ3OOdNztQ0T8AnhcZt7SXF+H0pXQv1ktYSmDibn9TQBvoSzJvLy5vinwmtENR9M0V7uF/SoifgssbL7QB6oVSJyL+t5ap5XOPwY/ZObtQ9sO5oq9KFuYjm+un9ncJg2sDF1lT4qIZ2TmqaMeyCxw86gHMB9lZqcObyu5oHRmGxh0aeseOGIhsB+lE9mag9tnczMaTazPUgZzmSuVBCyp3fLg5uolmfn3yR6v2WcudwuLiI2AU4BlVlM5WylNLSLuYOnKtgDWosyezeuZM608VoaushGxG2U13iqURPC8/fu0I95oRcRdKIn8QamLMyiNQOZtgfSI+FfgpSyd3HgOcHhmfqJC7FOBrwL/Rql/+FLgj5n59q6xpdnApJKIiLWBfwXul5mvjojNgQdl5rdHPDRNk93CJM0FM9GFVCuXudxVtlkR/hzgwvQAXCMUEccBFwGD9ucvBrbKzElrLq3sImJrShfCAM7MzJ9VinteZj5qeAtsRJyRmU+qEV8aNbe/CeBQyqzf45rrVwHHACaV5pi52C1sgmKdS+5iHm9/k+aJQRfStSmd6+4E/g+w+5MmNMe7yv4GuMiE0lgR8WyWrpg53UnNGfGAzHze0PX3RsQFoxrMbBARR2Tmi4HzJ7itq8EW9WsjYmfgGmDjCnGlWcGkkqB8sewREXsBZOatMQcLcsx347qFvXcOdQt71qgHIGlkfgx8AHgF8HtKMnlj4DDgnaMbltSLayk1LE/CtuIARMSHgUcDRzY37dN0g33HCIc1H9waEdtl5g8BIuIJmMx/6PCVpqzEo5bz2Lb+s9ly+FbgQGB9YN9KsaWRM6kkgNsiYi2a1SIR8QCGDnY0Z7yYUlNlC+DNQ3nBWV2zYXk1k5oDnH8B3jCzI5I0gw4A1gU2y8ybASJifcoKpo/iQbdWLlc0/1Zv/gl2Ah6RmXfCkgmynwEmlfr1OuDwJtERwJ8pdX7mnYh4B2USY62IuGlwM6V+28E1nmNo9d2NwPbN8+5bI7Y0G1hTSUTE04H/B2wJnAo8AXhZZp4+ynFp/omIR1ASSS+gHHh/3XpQ0sorIn4DbDF+O1AzQ3xJZm4+mpFJmglN19cnZ+afm+t3o2yBc+v7DGiS+FAaO+yRmUdO9viVWUR8aCZXyEXE7zNzk5l6PqlPrlQSmfndiDgfeCwlM79PZl4/4mFpnoiILYA9KXWg/kTpjhGZuf1IByZpJuRE9WUy846IcNZLKxXbii8VEZ8GjgI+CJwfEadTjkGfiKuUetMkkd4A3Af4JvC95vq/AT9n6TbE+ejbEbFOZt4SES8CtgY+2WMXYkuNaKWxyqgHoNFrWtzenpnfaZZn3h4RzxnxsDR/XAI8FdglM7drVibdMeIxSZoZv4yIl4y/sTmgv2QE45H6dCTlfb0Z8F7gt8A5oxzQCP2Gss31w5RV8v8HHAc8LjOPHuXAVnJHAA8CLgReTXntnw88JzN3HeXAZoHPAn+NiK0oyd/fAV/q8fmcONFKw+1vIiIuyMxHjLvtZ5n5yBENSfNIk9TcE3g8cDJwNPCFzNxspAOT1LuIuA+lQ+WtlC6kSSnauxawW2ZePcLhSVXZVnxZEXE/yjHAnpTVW18Bjs7M34x0YCupiLgwM/+p+XkBcD2wyaCm3XwWEedn5tYR8R/A1Zn5xcFtHWLezPI7HK+Vme4a0krBN7Jg4hVrvjc0IzLzeOD4iFgHeA7wFuCeEfFZ4PjMPHWU45PUnyZp9JiIeAplS1AAJ2Xm90c7MqkXthUfp9la9BHgIxHxSOAQ4D3AglGOayU2eA8OthlfYUJpiZubot0vAp7YJN1W6xIwM9erMjJplnOlkoiIQ4AbgM9QsulvAjbIzJeNcFiax5pCnc+nFI2cd7UmJEkrn4h4FvAD4L4sbSv+nsz81kgHNkIRsRqwA2Wl0lOBM4CjMvMboxzXyioi7qB0CoZmtQylSPes7hQ8EyJiI0qzmHMy8wcRsQmliHyfW+CklYJJJdGsEPl34GnNTacCH8jMW5b/W5IkSeoiIvbNzP8e9ThmWtN5eC9gZ+CnlK3v3/DYU7NFRGwH7JWZbxj1WKTZzqTSPNcs7TwlM5825YMlSZJUzXxtKx4Rp1HqJx2XmX8e9XgkgIh4BGW10guAKyjvz0+PdFDSHGDdnHmu2U/914i4S2beOOrxSJIkzSPzsq14Zm4/6jFIABGxBWX75V7An4CvUhZe+B6VVpBJJQH8DbgwIr7L0n3WZOabRzckSZKklZ5bBqTRuoRS62yXzLwMICLeMtohSXOLSSUBfKf5J0mSpIqmais+w8ORNNbzKCuVTouIkyn1veblCkJpuqypJAAiYi1gk8y8dNRjkSRJkqSZ0jQueg5lG9xTgMOB4zPz1FGOS5oLVhn1ADR6EbELcAFwcnP9ERFxwkgHJUmSJEkzIDNvycwjM/NZwMaUc6P9RzsqaW5wpZKIiPMoGfnTM/ORzW0XZuY/jXZkkiRJkiRptnKlkgBun6Dzm9lGSZIkSZK0XBbqFsBFEfEvwIKI2Bx4M/DjEY9JkiRJkiTNYq5UEsCbgIcCfweOAm4C9h3lgCRJkiRJ0uxmTSVJkiRJkiS15va3eWyqDm+Z+eyZGoskSZIkSZpbTCrNb48DrqRsefsJEKMdjiRJkiRJmivc/jaPRcQC4OnAXsDDge8AR2XmxSMdmCRJkiRJmvUs1D2PZeYdmXlyZr4UeCxwGXB6RLxpxEOTJEmSJEmznNvf5rmIWAPYmbJaaVPgU8DXRzkmSZIkSZI0+7n9bR6LiMOBhwEnAUdn5kUjHpIkSZIkSZojTCrNYxFxJ3BLc3X4jRBAZub6Mz8qSZIkSZI0F5hUkiRJkiRJUmsW6pYkSZIkSVJrJpUkSZIkSZLUmkklSZKkjiIiI+KIoeurRsQfI+LbU/zeyyLi0/2PUJIkqT6TSpIkSd3dAjwsItZqrj8duHqE45EkSeqdSSVJkqQ6TgJ2bn7eCzhqcEdEbBsRP46InzWXDxr/yxGxc0ScFREbRsQzmp/Pj4hjImLdGfpvkCRJWmEmlSRJkuo4GtgzItYEHg78ZOi+S4AnZuYjgf8APjj8ixGxG7A/sFNz0/8DnpaZWwPnAv/a89glSZJaW3XUA5AkSVoZZOYvImJTyiqlE8fdfRfg8IjYHEhgtaH7tge2AZ6RmTdFxLOALYEfRQTA6sBZPQ9fkiSpNZNKkiRJ9ZwAfAx4MnD3odvfD5yWmbs1iafTh+67HLg/sAVlVVIA383MvWZgvJIkSdPm9jdJkqR6DgHel5kXjrv9Liwt3P2ycff9Dngu8KWIeChwNvCEiHggQESsHRFb9DdkSZKk6TGpJEmSVElmXpWZn5zgrgOAD0XEj4AFE/zepcALgWOA9SmJp6Mi4heUJNODexu0JEnSNEVmjnoMkiRJkiRJmmNcqSRJkiRJkqTWTCpJkiRJkiSpNZNKkiRJkiRJas2kkiRJkiRJklozqSRJkiRJkqTWTCpJkiRJkiSpNZNKkiRJkiRJas2kkiRJkiRJklr7//orjHOp7QcKAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f,ax=plt.subplots(1,1,figsize=(20,8))\n",
    "sns.barplot(data=data,x='Make',y='Price',ax=ax)\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### we can see that the buggati has the highest mean price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f,ax=plt.subplots(1,1,figsize=(20,8))\n",
    "sns.barplot(data=data,x='Transmission Type',y='Price',ax=ax,hue='Engine Cylinders')\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### we can see that automated_manual transmission type with 8 cylinder has the highest price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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SrN+Mb5XkwSTXN1+fG3bNzCQ3Jrk1yaeTpBl/cpJzmvGrk2w17JrDk9zSfB0+Xj+jJEmSJEmSVs54zpQ6E9h/qbFLgB2r6tnA/wM+MOy+X1TVLs3XUcPGPwscAWzbfA095tuBu6tqG+ATwMcAkjwFOB54HvBc4PgkG6zOH0ySJEmSJEmrZtyKUlV1OXDXUmMXV9XC5vAqYMbyHiPJJsC6VfXDqirgLOC1zd2vAb7Q3D4PeGkzi2o/4JKququq7qZTCFu6OCZJkiRJkqQWtdlT6m3ARcOOt05yXZLLkryoGdsMmDvsnLnN2NB9cwCaQte9wFOHj49wzRKSHJFkVpJZd9xxx6r+PJIkSZIkSRqlVopSST4ILAS+1AzNB7aoql2B9wH/lWRdICNcXkMPs4z7lnfNkoNVp1bV7lW1+/Tp08fyI0iSJEmSJGkVdL0o1TQefxVwaLMkj6p6uKp+39yeDfwCeAadWU7Dl/jNAH7T3J4LbN485hRgPTrLBRePj3CNJEmSJEmSJoCuFqWS7A/8DXBgVT0wbHx6ksnN7afRaWh+W1XNB+5LskfTL+ow4PzmsguAoZ31DgK+1xS5vgPsm2SDpsH5vs2YJEmSJEmSJogp4/XASb4MvBjYMMlcOjvifQB4MnBJp8bEVc1Oe3sBJyRZCCwCjqqqoSbpR9PZyW9NOj2ohvpQnQacneRWOjOkDgaoqruSnAj8qDnvhGGPJUmSJEmSpAlg3IpSVXXICMOnLePcrwFfW8Z9s4AdRxh/CHjDMq45HTh91GElSZIkSZLUVeNWlOoHjz76KHPnzuWhhx5qO8qEtu6HP7TqD1LFovnzeeBL/0X98Y+r/niSJEmSJGlCsyi1HHPnzmWdddZhq622olluqBHctxr+21QV9z71qfz20D/n/v84dTWkkiRJkiRJE1nXd9/rJQ899BBPfepTLUh1QRLWmzqVyZts0nYUSZIkSZLUBRalVsCCVPckAf97S5IkSZI0ECxKSZIkSZIkqessSo3R5MmT2WWXXRZ/ffSjH13px3rBC16w2nKdddZZ7Ljjjuywww5sv/32nHzyycs9/8UvfjGzZs0C4IADDuCee+4Z9Z91++23s+OOT9gQUZIkSZIkadRsdD5Ga665Jtdff/1qeawf/OAHq+VxLrroIj75yU9y8cUXs+mmm/LQQw9x9tlnj/r6Cy+8cLXkWJZFixYxefLkcf0zJEmSJElSb3Gm1Gqy1VZbcfzxx7Pbbrux00478bOf/QyAO+64g5e//OXstttuHHnkkWy55ZbceeedAKy99toAXHrppbz4xS/moIMO4lnPehaHHnooVQXA7Nmz2XvvvZk5cyb77bcf8+fPf8Kf/c///M+cfPLJbLrppgCsscYavPOd7+QXv/gFu+222+LzbrnlFmbOnDli9jvvvJPbb7+d7bbbjne+853ssMMO7Lvvvjz44IOLc+y88848//nP5zOf+cziaxctWsTfffzj7P2GN/D817yG0885B4D/u+YaXnn44bzt/e9nj9e8hvsfeICDjjySF7z2tTzv1a/ma+NcCJMkSZIkSRObRakxevDBB5dYvndOU4QB2HDDDbn22ms5+uijFy+f+/CHP8w+++zDtddey+te9zp+/etfj/i41113HZ/85Cf56U9/ym233caVV17Jo48+ynve8x7OO+88Zs+ezdve9jY++MEPPuHam266acRi09Of/nTWW2+9xTO7zjjjDN7ylrcs9+e75ZZbeNe73sVPfvIT1l9/fb72ta8B8Na3vpVPf/rT/PCHP1zi/NNOO411116by776VS796lf5wle/yu1z5wIw+8Yb+Yf3vpcffetb/O8VV7DJRhvxg//+b67+5jd52YtetNwckiRJkiSpv7l8b4yWt3zv9a9/PQAzZ87k61//OgBXXHEF3/jGNwDYf//92WCDDUa89rnPfS4zZswAYJddduH2229n/fXX56abbuLlL3850JmVtMkmm4wp7zve8Q7OOOMM/vVf/5VzzjmHa665Zrnnb7311uyyyy6Lf47bb7+de++9l3vuuYe9994bgDe/+c1cdNFFAFx88cVcP2sW5198MQB/uO8+fvGrXzH1SU9i5k47sVXzM22/7bb83Ukn8Q8nn8z+L34xL9h99zH9HJIkSZIkqb9YlFqNnvzkJwOdZugLFy4EWLwMb7TXDr++qthhhx2eMDtpaTvssAOzZ89mn332ecJ9f/qnf7p4ttbMmTN56lOfOqYcDz74IFVFkhHPryo+/nd/x8te+MIlxv/vmmuYtuaai4+33XprLjvvPC6+/HI+9IlPsM8LXsDfvutdy80iSZIkSZL6l8v3xtkLX/hCzj33XKAzq+juu+8e9bXPfOYzueOOOxYXpR599FF+8pOfPOG8D3zgAxx33HEsWLAAgIcffphPf/rTQKe/1H777cfRRx/NW9/61pX6GdZff33WW289rrjiCgC+9KUvLb5vv/3247SvfIVHH30UgFt++Uvuf+CBJzzG/N/9jmlrrsnBBx7IMW99KzfcfPNKZZEkSZIkSf3BmVJjNNRTasj+++/PRz/60WWef/zxx3PIIYdwzjnnsPfee7PJJpuwzjrrjOrPmjp1Kueddx7HHHMM9957LwsXLuS9730vO+ywwxLnHXDAAfz2t7/lZS972eJZTW9729sW33/ooYfy9a9/nX333XdsP+wwZ5xxBm9729uYNm0a++233+Lxd7zjHfy/2bN50Z/+KVXFhk95Cv/1b//2hOt/8v/+H3//8Y8zadIkpkyZwieOP36ls0iSJEmSpN6X0S4v63e77757zZo1a4mxm2++me22226VHvfhhx9m8uTJTJkyhR/+8IccffTRy+xJNV5OPvlk7r33Xk488cRxefz7mp0GV4db58/nD8d/CIC9L79stT2uJEmSJGnsLttr73F7bN/zDYYks6tqxMbSzpQaZ7/+9a954xvfyGOPPcbUqVP5z//8z67++a973ev4xS9+wfe+972u/rmSJEmSJEnLY1FqnG277bZcd911rf35Qzv/SZIkSZIkTSQ2OpckSZIkSVLXWZSSJEmSJElS11mUkiRJkiRJUtdZlJIkSZIkSVLX2ei8ZTP/+qzV+nizP37YqM5btGgRu+++O5ttthnf+ta3lrivqjj22GO58MILmTZtGmeeeSa77bbbas0pSZIkSZIGmzOlBtSnPvUptttuuxHvu+iii7jlllu45ZZbOPXUUzn66KO7nE6SJEmSJPU7i1IDaO7cufzP//wP73jHO0a8//zzz+ewww4jCXvssQf33HMP8+fP73JKSZIkSZLUzyxKDaD3vve9nHTSSUyaNPLTP2/ePDbffPPFxzNmzGDevHndiidJkiRJkgaARakB861vfYuNNtqImTNnLvOcqnrCWJLxjCVJkiRJkgaMRakBc+WVV3LBBRew1VZbcfDBB/O9732PN73pTUucM2PGDObMmbP4eO7cuWy66abdjipJkiRJkvqYRakB88///M/MnTuX22+/na985Svss88+fPGLX1zinAMPPJCzzjqLquKqq65ivfXWY5NNNmkpsSRJkiRJ6kdT2g4w6GZ//LC2IwDwuc99DoCjjjqKAw44gAsvvJBtttmGadOmccYZZ7ScTpIkSZIk9RuLUgPsxS9+MS9+8YuBTjFqSBI+85nPtJRKkiRJkiQNApfvSZIkSZIkqetGVZRK8owk301yU3P87CR/N77RJEmSJEmS1K9GO1PqP4EPAI8CVNWPgYPHK5QkSZIkSZL622iLUtOq6pqlxhau7jCSJEmSJEkaDKMtSt2Z5OlAASQ5CJg/bqkkSZIkSZLU10a7+967gFOBZyWZB/wSeNO4pZIkSZIkSVJfG1VRqqpuA16WZC1gUlXdN76xBsevT9hptT7eFv9w4wrP2WqrrVhnnXWYPHkyU6ZMYdasWUvcX1Uce+yxXHjhhUybNo0zzzyT3XbbbbXmlCRJkiRJg21URakk/wScVFX3NMcbAH9VVe7A16O+//3vs+GGG45430UXXcQtt9zCLbfcwtVXX83RRx/N1Vdf3eWEkiRJkiSpn422p9QrhgpSAFV1N3DAuCRS684//3wOO+wwkrDHHntwzz33MH++LcQkSZIkSdLqM9qi1OQkTx46SLIm8OTlnK8JLAn77rsvM2fO5NRTT33C/fPmzWPzzTdffDxjxgzmzZvXzYiSJEmSJKnPjbbR+ReB7yY5g84OfG8DvjBuqTSurrzySjbddFN+97vf8fKXv5xnPetZ7LXXXovvr6onXJOkmxElSZIkSVKfG9VMqao6CfgIsB2wA3BiM6YetOmmmwKw0UYb8brXvY5rrrlmiftnzJjBnDlzFh/PnTt38TWSJEmSJEmrw2iX71FVF1XV+6vqr6rqO+MZSuPn/vvv57777lt8++KLL2bHHXdc4pwDDzyQs846i6riqquuYr311mOTTTZpI64kSZIkSepTy12+l+SKqnphkvvoLNtbfBdQVbXuuKYbAFv8w41d/fN++9vf8rrXvQ6AhQsX8ud//ufsv//+fO5znwPgqKOO4oADDuDCCy9km222Ydq0aZxxxhldzShJkiRJkvrfcotSVfXC5vs6Y33gJKcDrwJ+V1U7NmNPAc4BtgJuB97Y7ORHkg8AbwcWAccMzcZKMhM4E1gTuBA4tqqqabx+FjAT+D3wZ1V1e3PN4cDfNVH+sarsf9V42tOexg033PCE8aOOOmrx7SR85jOf6WYsSZIkSZI0YFa4fC/JpCQ3rcRjnwnsv9TY3wLfraptge82xyTZHjiYTr+q/YF/TzK5ueazwBHAts3X0GO+Hbi7qrYBPgF8rHmspwDHA88Dngscn2SDlcgvSZIkSZKkcbLColRVPQbckGSLsTxwVV0O3LXU8Gt4fNe+LwCvHTb+lap6uKp+CdwKPDfJJsC6VfXD6mwJd9ZS1ww91nnAS9PZIm4/4JKququZhXUJTyyOSZIkSZIkqUXLXb43zCbAT5JcA9w/NFhVB47xz/uTqprfXDs/yUbN+GbAVcPOm9uMPdrcXnp86Jo5zWMtTHIv8NTh4yNcI0mSJEmSpAlgtEWpD49rik7j9KXVcsZX9pol/9DkCDpLA9liizFNBJMkSZIkSdIqWO7yvSRrJHkv8AbgWcCVVXXZ0NdK/Hm/bZbk0Xz/XTM+F9h82HkzgN804zNGGF/imiRTgPXoLBdc1mM9QVWdWlW7V9Xu06dPX4kfR5IkSZIkSStjRT2lvgDsDtwIvAL4l1X88y4ADm9uHw6cP2z84CRPTrI1nYbm1zRL/e5LskfTL+qwpa4ZeqyDgO81fae+A+ybZIOmwfm+zZgkSZIkSZImiBUt39u+qnYCSHIacM1oHzjJl4EXAxsmmUtnR7yPAucmeTvwazozsKiqnyQ5F/gpsBB4V1Utah7qaDo7+a0JXNR8AZwGnJ3kVjozpA5uHuuuJCcCP2rOO6Gqlm64PmHsecqeq/XxrnzPlSs855577uEd73gHN910E0k4/fTTef7zn7/4/qri2GOP5cILL2TatGmceeaZ7Lbbbqs1pyRJkiRJGmwrKko9OnSjaSY+6geuqkOWcddLl3H+R4CPjDA+C9hxhPGHaIpaI9x3OnD6qMMOmGOPPZb999+f8847j0ceeYQHHnhgifsvuugibrnlFm655Rauvvpqjj76aK6++uqW0kqSJEmSpH60oqLUzkn+0NwOsGZzHKCqat1xTafV7g9/+AOXX345Z555JgBTp05l6tSpS5xz/vnnc9hhh5GEPfbYg3vuuYf58+ezySabtJBYkiRJkiT1o+X2lKqqyVW1bvO1TlVNGXbbglQPuu2225g+fTpvfetb2XXXXXnHO97B/fffv8Q58+bNY/PNH+8VP2PGDObNm9ftqJIkSZIkqY+tqNG5+szChQu59tprOfroo7nuuutYa621+OhHP7rEOZ1+8Usay9JNSZIkSZKkFbEoNWBmzJjBjBkzeN7zngfAQQcdxLXXXvuEc+bMmbP4eO7cuWy66aZdzSlJkiRJkvqbRakBs/HGG7P55pvz85//HIDvfve7bL/99kucc+CBB3LWWWdRVVx11VWst9569pOSJEmSJEmr1YoanWucXfmeK7v+Z55yyikceuihPPLIIzztaU/jjDPO4HOf+xwARx11FAcccAAXXngh22yzDdOmTeOMM87oekZJkiRJktTfLEoNoF122YVZs2YtMXbUUUctvp2Ez3zmM92OJUmSJEmSBojL9yRJkiRJktR1FqUkSZIkSZLUdRalJEmSJEmS1HUWpSRJkiRJktR1FqUkSZIkSZLUdRalJEmSJEmS1HVT2g4w6C7ba+/V+nh7X37ZCs/5xCc+wec//3mSsNNOO3HGGWewxhprLL6/qjj22GO58MILmTZtGmeeeSa77bbbas0pSZIkSZIGmzOlBsy8efP49Kc/zaxZs7jppptYtGgRX/nKV5Y456KLLuKWW27hlltu4dRTT+Xoo49uKa0kSZIkSepXFqUG0MKFC3nwwQdZuHAhDzzwAJtuuukS959//vkcdthhJGGPPfbgnnvuYf78+S2llSRJkiRJ/cii1IDZbLPNeP/7388WW2zBJptswnrrrce+++67xDnz5s1j8803X3w8Y8YM5s2b1+2okiRJkiSpj1mUGjB33303559/Pr/85S/5zW9+w/33388Xv/jFJc6pqidcl6RbESVJkiRJ0gCwKDVg/vd//5ett96a6dOn86QnPYnXv/71/OAHP1jinBkzZjBnzpzFx3Pnzn3CEj9JkiRJkqRVYVFqwGyxxRZcddVVPPDAA1QV3/3ud9luu+2WOOfAAw/krLPOoqq46qqrWG+99dhkk01aSixJkiRJkvrRlLYDDLq9L7+sq3/e8573PA466CB22203pkyZwq677soRRxzB5z73OQCOOuooDjjgAC688EK22WYbpk2bxhlnnNHVjJIkSZKk8XHcccexYMECNt54Y0466aS242jAWZQaQB/+8If58Ic/vMTYUUcdtfh2Ej7zmc90O5YkSZIkaZwtWLDAjaw0Ybh8T5IkSZIkSV1nUUqSJEmSJEldZ1FqBaqq7QgDo6rA/96SJEmSJA0Ei1LLscYaa/D73//ewlQXVBX3PvIIi+bPbzuKJEmSJEnqAhudL8eMGTOYO3cud9xxR9tRJrSHFixY9QepYtH8+Tzwpf9a9ceSJEmSJEkTnkWp5XjSk57E1ltv3XaMCe+yI49a8UmSJEmSJEnDuHxPkiRJkiRJXWdRSpIkSZIkSV1nUUqSJEmSJEldZ1FKkiRJkiRJXWdRSpIkSZIkSV1nUUqSJEmSJEldZ1FKkiRJkiRJXWdRSpIkSZIkSV1nUUqSJEmSJEldN6XtAJIkSZIkadXsecqeozpv6j1TmcQk5twzZ1TX/JNlA40jZ0pJkiRJkiSp6yxKSZIkSZIkqessSkmSJEmSJKnrLEpJkiRJkiSp6yxKSZIkSZIkqessSkmSJEmSJKnrul6USvLMJNcP+/pDkvcm+VCSecPGDxh2zQeS3Jrk50n2GzY+M8mNzX2fTpJm/MlJzmnGr06yVbd/TkmSJEmSJC1b14tSVfXzqtqlqnYBZgIPAN9o7v7E0H1VdSFAku2Bg4EdgP2Bf08yuTn/s8ARwLbN1/7N+NuBu6tqG+ATwMfG/yeTJEmSJEnSaLW9fO+lwC+q6lfLOec1wFeq6uGq+iVwK/DcJJsA61bVD6uqgLOA1w675gvN7fOAlw7NopIkSZIkSVL72i5KHQx8edjxu5P8OMnpSTZoxjYD5gw7Z24ztllze+nxJa6pqoXAvcBTl/7DkxyRZFaSWXfcccfq+HkkSZIkSZI0Cq0VpZJMBQ4EvtoMfRZ4OrALMB/4l6FTR7i8ljO+vGuWHKg6tap2r6rdp0+fPvrwkiRJkiRJWiVtzpR6BXBtVf0WoKp+W1WLquox4D+B5zbnzQU2H3bdDOA3zfiMEcaXuCbJFGA94K5x+jkkSZIkSZI0Rm0WpQ5h2NK9pkfUkNcBNzW3LwAObnbU25pOQ/Nrqmo+cF+SPZp+UYcB5w+75vDm9kHA95q+U5IkSZIkSZoAprTxhyaZBrwcOHLY8ElJdqGzzO72ofuq6idJzgV+CiwE3lVVi5prjgbOBNYELmq+AE4Dzk5yK50ZUgeP448jSZIkSZKkMWqlKFVVD7BU4/GqevNyzv8I8JERxmcBO44w/hDwhlVPKkmSJEmSpPHQ9u57kiRJkiRJGkCtzJSSJEmSJEndV9OKx3iMmmbbZbXPopQkSZIkSQPi0T0fbTuCtJjL9yRJkiRJktR1FqUkSZIkSZLUdRalJEmSJEmS1HUWpSRJkiRJktR1NjqXJEmS1DeOO+44FixYwMYbb8xJJ53UdhxJ0nJYlJIkSRqDy/bae1wed+/LLxuXx5UGzYIFC5g3b17bMSRJo2BRSpL6nJ8YS5IkSZqILEpJUp/zE2NJkiRJE5GNziVJkiRJktR1zpSSJEmSNOGNtp/bg1MmQ8KDc+eO6hr7uUlSe5wpJUmSJEmSpK6zKCVJkiRJkqSusyglSZIkSZKkrrMoJUmSJEmSpK6z0bkk9SgbvkqS9ETrVy3xXZI0cVmUkiRJktQ33rTosbYjSJJGyeV7kiRJkiRJ6jqLUpIkSZIkSeo6i1KSJEmSJEnqOotSkiRJkiRJ6jqLUpIkSZIkSeo6d9+TpD7n1tiSJEmSJiKLUpLU59waW1q+4447jgULFrDxxhtz0kkntR1HkiRpYFiUkiRJA23BggXMmzev7RiSJEkDx6KUluCnxZIkSZIkqRssSmkJflosSZIkSZK6wd33JEmSJEmS1HXOlJIkSRLgMn5JktRdFqV6lC8aJUnS6uYyfkmS1E0WpXrUWF807nnKnqM6b+o9U5nEJObcM2fU1/yT/xtJkiRJkqQxsqeUJEmSJEmSus6ilCRJkiRJkrrOopQkSZIkSZK6zmZAWkJNKx7jMWpatR1FkiRJkiT1MYtSWsKjez7adgRJklaL8drkww0+JEmSVg+X70mSJEmSJKnrLEpJkiRJkiSp6yxKSZIkSZIkqessSkmSJEmSJKnrLEpJkiRJkiSp61opSiW5PcmNSa5PMqsZe0qSS5Lc0nzfYNj5H0hya5KfJ9lv2PjM5nFuTfLpJGnGn5zknGb86iRbdf2HlCRJkiRJ0jK1OVPqJVW1S1Xt3hz/LfDdqtoW+G5zTJLtgYOBHYD9gX9PMrm55rPAEcC2zdf+zfjbgburahvgE8DHuvDzSJIkSZIkaZSmtB1gmNcAL25ufwG4FPibZvwrVfUw8MsktwLPTXI7sG5V/RAgyVnAa4GLmms+1DzWecC/JUlVVTd+EEmSpIlk5l+fNarz1rnzPiYDv77zvlFdM/vjh61iMkmSNMjaKkoVcHGSAv6jqk4F/qSq5gNU1fwkGzXnbgZcNezauc3Yo83tpceHrpnTPNbCJPcCTwXuHKefZ7X59Qk7jeq8hXc9BZjCwrt+NbprNlh31YJJkiRJkiStRm0Vpfasqt80hadLkvxsOedmhLFazvjyrlnygZMj6Cz/Y4sttlh+YkmSJEmSJK02rfSUqqrfNN9/B3wDeC7w2ySbADTff9ecPhfYfNjlM4DfNOMzRhhf4pokU4D1gLtGyHFqVe1eVbtPnz599fxwkiRJkiRJWqGuF6WSrJVknaHbwL7ATcAFwOHNaYcD5ze3LwAObnbU25pOQ/NrmqV+9yXZo9l177Clrhl6rIOA79lPSpIkjaSmFY+t9Rg1zZcKkiRJ3dTG8r0/Ab7RqSMxBfivqvp2kh8B5yZ5O/Br4A0AVfWTJOcCPwUWAu+qqkXNYx0NnAmsSafB+UXN+GnA2U1T9Lvo7N4nSZL0BI/u+WjbESRJkgZS14tSVXUbsPMI478HXrqMaz4CfGSE8VnAjiOMP0RT1JIkSZIkSdLE00pPKUmSJEmSJA02i1KSJEmSJEnqOotSkiRJkiRJ6ro2Gp1LkkZw3HHHsWDBAjbeeGNOOumktuNIkiRJ0riyKCVJE8SCBQuYN29e2zE0wVislCRJUr+yKCVJ0gRmsVKSJEn9yp5SkiRJkiRJ6jpnSknSONrzlD1Hfe7Ue6YyiUnMuWfOqK77J3+FS5IkSephvqORJKnLLttr71Gf++CUyZDw4Ny5o7pu78svW5VoGnCPTV1rie+SJEnjyaKUJEmSALh/233bjiBJkgaIRSlJmiBqWvEYj1HTqu0okiRJkjTuLEpJ0gTx6J6Pth1BktSjjjvuOBYsWMDGG2/MSSed1HYcSZJGxaKUJEkT2PpVS3yXpJEsWLCAefPmtR1DkqQxsSglSdIE9qZFj7UdQZIkSRoXFqUkSZIkSZJ6QL8t17YoJUmSJEmS1AP6bbn2pLYDSJIkSZIkafA4U0qSJEmaoGb+9VmjOm+dO+9jMvDrO+8b9TWzP37YKiSTJK1Oe56y56jOm3rPVCYxiTn3zBnVNVe+58pVjTaunCklSZIkSZKkrnOmlCRJknpSvzV7lSRp0FiUGme+WJIkSRof/dbsVZKkQWNRapz5YkmSJEmSJK0ONa14jMeoadV2lNXCopQkSZIkSVIPeHTPR9uOsFpZlFpJ47UTyjfWWcVgkiRJkiRJPcCiVI/acI3HgIXNd0mSJgZ7KUqSJGm0LEr1qPc/+562I0iS9AT2UpTa8djUtZb4LklSL7AoNc58gSC1w9kakqRBcv+2+7YdQZKkMbMoNc58gSC1w9ka6iaLoJIkSdLYWZSS1FPGa5OB2R8/bBWTaZBZBJUkSZLGzqKUJI2BM2I0qCwIS5IkaXWzKCWpL41XPzdnxAyWPU/Zc1TnTb1nKpOYxJx75ozqmn/yn19pucbr7x7Ale+5clWiSZKk1chXxZL6kv3cJEmSJGlim9R2AEmSJEmSJA0eZ0pJkrSKalrxGI9R06rtKJIkSVLPsCglSdIqenTPR9uOMGGMVz83SZIk9R+LUpIE/PqEnUZ13sK7ngJMYeFdvxrdNRusu2rBpB5jPzdJkiSNlkUpSSt03HHHsWDBAjbeeGNOOumktuNIkiRJkvqARSlJK7RgwQLmzZvXdgxJkqS+5AeAkgaVRSlJkiRJapEfAEoaVJPaDiBJkiRJkqTB40wpaYBdttfeozrvwSmTIeHBuXNHdc3el1+2qtEmrA3XeAxY2HyXJEmSJK0si1KSNAbvf/Y9bUeQJDVqWvEYj1HTqu0o0ohm/vVZozpvnTvvYzLw6zvvG9U1sz9+2Comk6SJwaKU1EdskilJGiSP7vlo2xEkSdIqsCgl9RGbZEqSJEmSekXXG50n2TzJ95PcnOQnSY5txj+UZF6S65uvA4Zd84Ektyb5eZL9ho3PTHJjc9+nk6QZf3KSc5rxq5Ns1e2fU+on61fxlCrWL5dHSJIkSZJWjzZmSi0E/qqqrk2yDjA7ySXNfZ+oqpOHn5xke+BgYAdgU+B/kzyjqhYBnwWOAK4CLgT2By4C3g7cXVXbJDkY+BjwZ1342aRxsecpe47qvKn3TGUSk5hzz5xRXfNPo/wV8KZFNvWWJEkaL49NXWuJ75I0KLpelKqq+cD85vZ9SW4GNlvOJa8BvlJVDwO/THIr8NwktwPrVtUPAZKcBbyWTlHqNcCHmuvPA/4tSaqc5iFJkiRpYrl/233bjiBJrej68r3hmmV1uwJXN0PvTvLjJKcn2aAZ2wyYM+yyuc3YZs3tpceXuKaqFgL3Ak8d4c8/IsmsJLPuuOOO1fNDSS2qacVja7kLkSRJkiRp4mutKJVkbeBrwHur6g90luI9HdiFzkyqfxk6dYTLaznjy7tmyYGqU6tq96raffr06WP7AaQJ6NE9H+WRlz/ibkSSJEmSpAmvld33kjyJTkHqS1X1dYCq+u2w+/8T+FZzOBfYfNjlM4DfNOMzRhgffs3cJFOA9YC7Vv9PIkkaD8cddxwLFixg44035qSTTmo7jiRJkqRx0MbuewFOA26uqn8dNr7JsNNeB9zU3L4AOLjZUW9rYFvgmqY31X1J9mge8zDg/GHXHN7cPgj4nv2kJKl3LFiwgHnz5rFgwYK2o0iSJEkaJ23MlNoTeDNwY5Lrm7H/DzgkyS50ltndDhwJUFU/SXIu8FM6O/e9q9l5D+Bo4ExgTToNzi9qxk8Dzm6aot9FZ/c+SZIkSZIkTRBt7L53BSP3fLpwOdd8BPjICOOzgB1HGH8IeMMqxJQkSZIkSdI4aqWnlDTo7JejQTTzr88a9bnr3Hkfk4Ff33nfqK6b/fHDViGZJEmSpDZYlJJaMNQvR5IkSZKkQdX1RueSJEmSJEmSM6UkSRPOY1PXWuK7JEmSpP5jUUqSNOHcv+2+bUeQJEmSNM4sSknLsDLNyH99wk6jOm/hXU8BprDwrl+N7poN1h3V40qSJEmS1CssSknLYDNySZIkSZLGj0UpDZzRbks/1i3pAb6xzioEkyRJkiRpgFiUkpbBRsuSJEmSJI0fi1LSMthoWZIkSZKk8WNRSmrBhms8BixsvkuSJEmSNHgsSkkteP+z72k7giRJkiRJrZrUdgBJkiRJkiQNHotSkiRJkiRJ6jqLUpIkSZIkSeo6i1KSJEmSJEnqOotSkiRJkiRJ6jqLUpIkSZIkSeo6i1KSJEmSJEnqOotSkiRJkiRJ6jqLUpIkSZIkSeo6i1KSJEmSJEnqOotSkiRJkiRJ6jqLUpIkSZIkSeo6i1KSJEmSJEnqOotSkiRJkiRJ6jqLUpIkSZIkSeo6i1KSJEmSJEnqOotSkiRJkiRJ6jqLUpIkSZIkSeo6i1KSJEmSJEnqOotSkiRJkiRJ6jqLUpIkSZIkSeo6i1KSJEmSJEnqOotSkiRJkiRJ6jqLUpIkSZIkSeo6i1KSJEmSJEnqOotSkiRJkiRJ6jqLUpIkSZIkSeo6i1KSJEmSJEnqOotSkiRJkiRJ6jqLUpIkSZIkSeq6KW0HkCRJg+vXJ+w0fg++wbrj99iSJElaZX09UyrJ/kl+nuTWJH/bdh5JkiRJkiR19G1RKslk4DPAK4DtgUOSbN9uKkmSJEmSJEEfF6WA5wK3VtVtVfUI8BXgNS1nkiRJkiRJEv1dlNoMmDPseG4zJkmSJEmSpJalqtrOMC6SvAHYr6re0Ry/GXhuVb1n2DlHAEc0h88Eft71oN2zIXBn2yG00nz+epfPXW/z+ettPn+9y+eut/n89S6fu97m89fb+vn527Kqpo90Rz/vvjcX2HzY8QzgN8NPqKpTgVO7GaotSWZV1e5t59DK8fnrXT53vc3nr7f5/PUun7ve5vPXu3zuepvPX28b1Oevn5fv/QjYNsnWSaYCBwMXtJxJkiRJkiRJ9PFMqapamOTdwHeAycDpVfWTlmNJkiRJkiSJPi5KAVTVhcCFbeeYIAZimWIf8/nrXT53vc3nr7f5/PUun7ve5vPXu3zuepvPX28byOevbxudS5IkSZIkaeLq555SkiRJkiRJmqAsSkmSJEmSJKnr+rqnlCRJKyPJBsCmwIPA7VX1WMuRJGnCSjIJ2JnHf2/+pKp+224qjVXzb9/mVfXjtrNo9HzNol5nT6k+lGQN4FXAi3j8F9RNwP+4A+HEluRGYJl/Kavq2V2MozFKMgM4mBH+7gEX+SJhYkuyHvAu4BBgKnAHsAbwJ8BVwL9X1ffbSyj1tyR70Clm3NccrwNsX1VXt5tMy5Lk6cDfAC8DbuHx35vPAB4A/gP4gv/+TVxJLgUOpDNZ4Xo6z+FlVfW+FmNpBXzN0vuSPB94E533DZuw5PuGL1bVvS3G6yqLUn0myYeAVwOXArOB3/H4i4OXNLf/yk9AJqYkWzY339V8P7v5fijwQFWd0P1UGo0kZwCbAd8CZvHEv3szgb+tqstbC6nlSnIJcBbwzaq6Z6n7ZgJvBm6sqtNaiKflSPJNll/QP7CLcbSSklwH7FbNi9Nm9s2sqtqt3WRaliRfBj4L/F8t9aYiyUbAnwN3V9UX2sinFUtyXVXtmuQddGZJHZ/kx34QOrH5mqW3JbkI+A1wPiO/b3g18K9VdUFrIbvIolSfSfLKqvqf5dy/EbBFVc3qYiyNUZIrq2rPFY1p4kiyY1XdtJz7p9L5u3drF2NJAyHJ3su7v6ou61YWrbwk11fVLkuN+eZYGkfNLP19gS8AH6yqH/n3ThpfSTasqjtX9Zx+YU+pPrO8glRz/+/oVGI1sa2V5IVVdQVAkhcAa7WcScuxvIJUc/8jgAWpHpJkbTqfWN229KeQmliGF52SrEmnAPzzFiNp5dyW5Bg6M28A/gK4rcU8GqMkWwO7Aj+tqp+1nUejcgLwHeCKpiD1NDpLMdVDfM3SW4aKTUnWAh6sqseSPAN4Fp2WH48OSkEKnCnVd1zC0B+aabenA+vReT7vBd5WVde2GkzLZD+w3pfk36vqL5rbLwT+C/gFsA1wZFVd2GY+rViSVwMnA1OrauskuwAn+G9fb2hmc38a2IfO79PvAu9tPlDTBJTkv6vqtc3t1wCfpNNC4gXAP1fVmW1lk/qZr1n6Q5LZdHpKbUCnF9gsOi1bDm01WJc5U6r/nNx8fz2wMfDF5vgQ4PY2Amnsqmo2sHOSdekUjwem0V0Pe1XzfcR+YN2Po5Wwx7DbJwKvraprm0+NzwV8gTfxfQh4Lp03xVTV9Um2ajGPxqApPh3cdg6NyZbDbv8NsE9V/TLJhnSKime2kkqj1myQ9HZgBzo9bQCoqre1Fkqj4WuW/pCqeiDJ24FTquqkpr/iQLEo1WeGljAkObGq9hp21zeT2GC5RyT5E+CfgE2r6hVJtgeeb7PCiauqfgWQZM+len/9bZIr6UyPV+9Yd2hmYlXdlmRy24E0Kgur6t4kbefQGCQ5rnkhfgojzDitqmNaiKXRGf58TamqX0JnaUoSd9zrDWcDPwP2o/Na5VDg5lYTaax8zdK70uzCdyid4jAMYI1mUtsBNG6mN5VyYPEa/+kt5tHYnElnff+mzfH/A97bVhiNyVrNNGrAfmA95llJftwsxXxGkg1g8Q5gT2o3mkbppiR/DkxOsm1T5PhB26G0QkNvgGfR2Tl46S9NXDsn+UOS+4BdkmwMizf38I1xb9imqv4euL/ZJfGVwE4tZ9KK+ZqlPxwLfAD4RlX9pHn//v2WM3XdwFXhBshfApcmGWoQuhVwZHtxNEYbVtW5ST4AUFULkyxqO5RG5e3A6UmW6AfWbiSN0nZLHd/ffH8K8A9dzqKV8x7gg8DDwJfpFPdPbDWRVqiqvtl8sr9jVf1123k0elW1rMLTNHzd2Ssebb7fk2RHYAGd9w2a2HzN0geq6nLg8mHHtwEDNzvYRud9LMmT6XTwB/hZVT3cZh6NXpJLgT8FLqmq3ZLsAXysqpa77bkmDvuBSe1qihxrVdUf2s6i0Unyvarap+0cWjWDtI15P0jyDuBrwLOBM4C1gX+oqs+1GkwaAEmmA8fxxJ5uA/Vvocv3+lSSacBfA++uqhuALZK8agWXaeJ4H3AB8PSmH9FZdGYAaIJL8idJTgPOaXrbbN80L9QEl2T3JN9P8sUkmye5JMm9SX6UZNe282nFkvxXknWbLZZ/Avw8iTNvesd1SS5I8uYkrx/6ajuUli3JK5L8MskVSXZN8hPg6iRzk7y07Xxasar6fFXdXVWXVdXTqmojC1ITn69Z+saX6PR02xr4MJ2NyX7UZqA2OFOqTyU5h04fhsOqasckawI/rKpd2k2m0UoyBXgmEODnVfXoCi7RBJDkIjqfNH6wqnZunsfrqsr+DBNckmuA44H1gZOAv6yq85o3Vv9YVc9vM59WLMn1VbVLkkOBmXR2A5tdVc9uOZpGIckZIwyXu4BNXEmup7PD8/rAt4BXVtVVSbYDvlRVu7UYT6OQ5H0jDN9L53fn9V2Oo1HyNUt/SDK7qmYm+fHQa5Uklw3a6hh7SvWvp1fVnyU5BKCqHozbEU14y/lE+BlJqKqvdzWQVob9wHrXk6rqIoAkH6uq8wCq6rtJTm43mkbpSUmeBLwW+LeqejSJn771js9X1ZXDB5LsuayTNSE8VlU3AyR5oKquAqiqm5uGy5r4dm++vtkcv5LOTI2jkny1qk5qLZmWx9cs/WFo0sH8JK8EfgPMaDFPKyxK9a9HmtlRBZDk6XQav2pie3XzfSPgBcD3muOXAJcCFqUmvvuTPJXH/+7tQecTR018DyXZF1gPqCSvrar/TrI3YGGxN/wHnanvNwCXJ9kSsKdU7zgFWHpmzUhjmjjuSXIksC5wd5K/BM4FXgb8sdVkGq2nArtV1R8BkhwPnAfsRWfVhUWpicnXLP3hH5vNkf6Kzr9369LZsGygWJTqX8cD3wY2T/IlYE/gLa0m0gpV1VsBknwL2L6q5jfHmwCfaTObRm3pfmDTgYPajaRROhr4GPAYsB9wdJIzgXnAES3m0ihV1aeBTw8b+lWSl7SVR6OT5Pl0PoiZvtRSonWBZe3uponhcODv6Pze3JfOUr7vAL8C3tliLo3eFsAjw44fBbZsVln4gfbE5WuWPlBV32pu3ktnEsJAsqdUH2qmSx8EfBfYg05PoqvcCaV3JLmpqnYcdjwJ+PHwMU1c9gOT2pHkT4B/Ajatqlck2R54flWd1nI0LUfzyf6LgaOA4Q2W7wO+WVW3tJFLGgRJ/h54HXB+M/RqOh+u/QtwalUd2lY2qd8l+fQIw/cCs6rq/BHu60sWpfpUksuraq+2c2jlJPk3YFvgy3SWgR0M3FpV7sA3Qa1ohyj7gU18ST5ZVe9tbh9bVZ8adt+ZVfWWtrJpdNxooLcl2bKqftV2Do1eknOr6o3N7Y9V1d8Mu+/iqtq3vXQarSQzgRfS+TDtiqqa1XIkrYCvWfpDklOBZwFfbYb+lM7uwZsDtw09x/3OolSfaj71eBA4B7h/aLyq7motlMakKXK8qDm8vKq+0WYeLd+wXaNG7AdWVW5rPsEluXZop6jht0c61sSU5EdV9Zwk11XVrs3Y9e482xuSXAK8oaruaY43AL5SVfu1GkzLtNTftaV/by6+T9Lq5WuW/pDke8C+VbWwOZ4CXAy8HLixqrZvM1+32FOqfw1tn/yuYWMFPK2FLFoJzcwaZ9f0CPuB9YUs47Z6hxsN9LYNhwpSAFV1d5KNWsyjFVvep9t+8i2NH1+z9IfNgLV4/LXKWnRaECwapJ5uFqX6VFVt3XYGrbzmjdQpwHbAVDqNXu+vqnVbDabR2GqoINX4LfCMtsJoTCY1MzMmDbs99ELPZsu9wY0GettjSbaoql9DZzkfFjYmumlJdqXze3PN5naarzVbTSb1N1+z9IeTgOuTXErn+dsL+KckawH/22awbnL5Xp9Jsk9VfW9Z/W3sa9Mbksyi00fqq8DuwGHANlX1wVaDaYXsB9a7ktzOst8AV1U507QHuNFA70qyP3AqcFkztBdwRFV9p71UWp4k31/e/VU1sLtJSePJ1yz9o1lV8Vw6r1uuqarftByp6yxK9ZkkH66q44f1txmuquptI4xrgkkyq6p2T/Ljqnp2M/aDqnpB29m0YvYD601Jpgyt6Vdv8QOZ/pFkQx7fOfiH7hw8sSXZZKnZweoRSe5j5KJG6LxncHb+BOZrFvUTi1LSBJTkcuBlwOeBBcB84C1VtXOrwaQ+1sxQnAt8G/h2Vd3ebiKNVpIPVdWHmg9khr+wGXpz5QcyPSBJgEOBp1XVCUm2ADauqmtajqZlaHa83AC4lM7vzit8oyyNP1+zqJ9YlOpTSf5hpPGqOqHbWTR2TR+N39LpJ/WXwHrAv1fVra0G0wo1MzU+RmcXvqG+Gn7i2COav3uvAPan03zyCuAi4LKqGpiGk70myV/RKUZl2Hea21TVv7YUTWOQ5LPAY8A+VbVd0yPl4qp6TsvRtBxJ1gBeTOd3557Ar3n8jfKvW4ymMWg2FVhj6NjnbuLzNYv6hUWpPtW8QB+yBvAq4GY/Le4dSdYEtqiqn7edRaOX5Fbg1VV1c9tZtGqSPInOMsz96bzhuqOqXtlqKI0oyfHNzWcCzwHOp1OYejWdJbTvaCubRm9oG/Mk11XVrs3YDc4S7i1JtubxN8obV9VzW46k5UhyIPAvwKbA74At6bxn2KHVYBoTX7P0liRPWd79VXVXt7JMBBalBkSSJwMXVNV+bWfRiiV5NXAyMLWqtk6yC3BCVR3YbjKtSJIrq2rPtnNo9UuyWVXNazuHli3JxcCfVtV9zfE6wFerav92k2k0klwNvAD4UVOcmk5nptSuLUfTSkoytaoeaTuHli3JDcA+wP9W1a5JXgIcUlVHtBxNq8DXLBNbkl+y5Mzu4QauUf2UtgOoa6YBA/U/d4/7EJ1dGC4FqKrrk2zVYh6N3qwk5wD/DSyeOm2j5YkvyY0sZ/v5oU0HNKFtAQx/A/wIsFU7UbQSPg18A9goyUeAg4C/azeSlmc5zbKh88ZqvW7m0Up5tKp+n2RSkklV9f0kH2s7lJbP1yy9raq2bjvDRGJRqk8t9YtqMjAdsJ9U71hYVfd2er6qx6wLPADsO2ysAItSE9+rmu/var6f3Xw/lM5zqonvbOCaJN+g8/fudcAX2o2k0aqqLyWZDbyUzqfHr3Up9MRWVesAJDmBzsYsZ9N57g4F1mkxmkbvniRrA5cDX0ryO8Bm9ROfr1n6RNM/cVuW7Ol2eXuJus/le32qaXw3ZCHwW3dD6R1JTgO+C/wt8KfAMcCTquqoVoNJA2CkJZguy+wdSXaj01cDOv2krmszj1bM3hq9L8nVVfW8FY1p4kmyFvAgMIlOQWM94EtV9ftWg2lUfM3S25K8AzgWmAFcD+wB/LCq9mkzV7c5U6p/3bfU8brDZ934Am/Cew/wQTrLv74MfAc4sdVEGpUkzwA+C/xJVe2Y5NnAgVX1jy1H0+itleSFVXUFQJIXAGu1nEmjVFXXAte2nUNjMpsld08cMnRs+4GJb1GSQ4Gv0HnODgEWtRtJK5JkMnB+Vb2Mzs6XziztPb5m6W3H0tmg5aqqekmSZwEfbjlT1zlTqk8luR3YHLibzou69els0QsD2DxN6pYklwF/DfzHsN2jbqqqHdtNptFKMhM4nc6nxQXcC7ytKXZIGidJhmZqbF1VJyTZAtikqq5uOZpWoOl7+SlgTzq/N68E3ltVt7cYS6OQ5ALgzVV1b9tZNHa+ZultSX5UVc9Jcj3wvKp6OMn1VbVLy9G6yplS/evbdHbbuxAgySuAl1XVX7UbS8uT5Jssv2mhu+9NfNOq6pql+oG5dLaHVNVsYOck69L58MYX6lJ3fIbObI196PTBvA/4Gp1PkTWBNcWn17SdQyvlIeDGJJcA9w8NVtUx7UXSaPmapefNTbI+nQ2SLklyN/CbVhO1wKJU/3rO8P5DVXVREpd/TXwntx1Aq+zOJE+nKS4mOQiY324kjUWSPwH+Cdi0ql6RZHvg+VV1WsvRpH73vKraLcl1AFV1d5KpbYfSirl0vaf9T/OlHuRrlt5WVa9rbn4oyffpzHj7douRWuHyvT6V5DvA/wFfpPPm+E3AXlW1X6vBpD6X5GnAqcAL6Cyf/SXwJpcw9I4kFwFnAB+sqp2TTAGuq6qdWo4m9bUkV9P53fmjpjg1Hbh4aCm0Ji6Xrkvt8DVL72qWrP/Y35OdXRbUnw4BpgPfaL6mN2PqAUn2THJJkv+X5LYkv0xyW9u5tGJVdVvTMHQ68KyqeqEFqZ6zYVWdS2cZEc3OpTbslcbfp+m8ZtkoyUeAK+jMANDEN62qrllqzKXrPWDoNebSX23n0qj5mqVHVdVjwA1N/8SB5vK9PtXsrndskrWr6o9t59GYnQb8JZ0difyHpYc068IPA7YCpgz1lrI3Q0+5P8lTeXwJ5h50GodKGkdV9aUks4GX0tmk5bVVdXPLsTQ6Ll3vXbsPu70G8AbgKS1l0dj5mqW3bQL8JMk1LNnTbaD6CLt8r08124F+Hli7qrZIsjNwZFX9RcvRNApJrq6q57WdQ2OX5AfAVcCNNJ9aAVSV2yz3iCS7AacAOwI30Zn1dlBV/bjVYJI0Qbl0vb8kuaKqXth2Dq2Yr1l6W5K9Rxqvqsu6naVNFqX6VNOX4SA6O/C5tr/HJPkoMBn4OvDw0Ljbu058Sa6tqt3azqFV0/RkeCad2Ro/r6pHW44kSRNekrWASVV1X9tZNDpNUWPIJDozp46uqp1biqRRSjIZOIZOUcrXLOpZLt/rY1U1Z6lt6V0G1juGZkkNn1JddLbJ1sR2dpJ3At9iyYLiXe1F0mgkef0y7npGEqrq610NJEkTXJL3LWMcgKr6164G0sr4l2G3F9KZ5fbGlrJoDKpqUZLXVNUngJ+0nUdjl+Q+mqWXwFTgScD9VbVue6m6z6JU/5rTLOGrZjvlYwD7MvSIqnpJ2xm00h4BPg58kMf/kSngaa0l0mi9uvm+EZ0lKN9rjl8CXEpn5qIk6XHrNN+fCTwHuKA5fjVweSuJNFZvr6olGpsn2bqtMBqzK5P8G3AOS/YkcnVFD6iqdYYfJ3kt8Nx20rTH5Xt9KsmGwKeAl9GZynkxcGxV/b7VYBqVJP8w0nhVndDtLBqbJL8AnldVd7adRSsnybeAd1bV/OZ4E+AzVbWsmVSSNNCSXAz86dCyvSTrAF+tqv3bTaYVGantQJLZVTWzrUwavSTfH2G4qsrVFT0qyVVVtUfbObrJmVJ9qFlf/MmqOrTtLFpp9w+7vQbwKpzp1it+AjzQdgitkq2GClKN3wLPaCuMJPWALejMFB7yCJ1daDVBJXkWsAOw3lLL19el89pTPcDVFb1tqb97Qz3dBm7WkEWpPtSsL56eZGpVPbLiKzTRVNXw9f0kOZnHp8RrYlsEXN98cjW8p9Qx7UXSGF2a5DvAl+m8MDgYGOmTSElSx9nANUm+Qef35uuAs9qNpBV4Jp0PPdfn8eXrAPcB72wjkEYvyZuq6ovL6utmP7eeMfzv3kLgduA17URpj0Wp/nU7nTXGF7Dk+mJ/QfWmadiTqFf8d/OlHlVV724+uXpRM3RqVX2jzUySNJFV1UeSfBt4YTP01qq6rs1MWr6qOh84P8nzq+qHbefRmK3VfF9nuWdpovt8VV05fCDJnsDvWsrTCntK9akkx480XlUf7nYWjV2SG3l86uZkYDpwQlX9W3upJEmSRta0j/gThn3oXVW/bi+RRiPJGsDb6SzlW7xsr6re1looaUAso6fbE8b6nTOl+pTFp573qmG3FwK/raqFbYXR6CV5FXAisCWd37Gh03ByoLZ27WVJ9gBOAbajsz3vZAZwe15JGq0k7wGOp9ODbxHNv33As9vMpVE5G/gZsB9wAnAo9jHtGUnOYIQeRBYVJ7Ykz6ez0/P0pZZgrkvndedAsSjVZ5KcCpxSVTeOcN9awJ8BD1fVl7oeTqNWVb9qO4NW2ieB1wM3llNRe9W/0ekj9VU6DScPA7ZpNZEkTWzHAs90l+eetE1VvSHJa6rqC0n+C/hO26E0at8adnsNOv3cftNSFo3eVGBtOvWY4Usw/wAc1EqiFlmU6j//Dvx9kp2Am4A76PyC2pZO5fV0wIKUNH7mADdZkOptVXVrkslVtQg4I8kP2s4kSRPYHODetkNopTzafL8nyY7AAtw5sWdU1deGHyf5MvC/LcXRKFXVZcBlSc50MoJFqb5TVdcDb0yyNp1P+DcBHgRurqqft5lNGhDHARcmuYwld99zk4He8UCSqXR2UTwJmM/jDUUlSU90G52dS/8H/+3rNacm2QD4ezo7Pa8N/EO7kbQKtgW2aDuERu2BJB/niT3d9mkvUvdZlOpTVfVH4NK2c2jsmkah36mql7WdRSvlI8Af6fzDMrXlLFo5bwYmAe8G/hLYHPjTVhNJ0sT26+ZrKv7b11Oq6vPNzctwp+eek+Q+Oj2lhvq4LQD+ptVQGosvAefQ6Sd8FHA4nZVOA8Xd96QJKMkFwJuryqnwPSbJrKrave0cWjVJ1gS2cIapJI1ekrWq6v62c2j0kjyZzgcvW7HkzokntJVJGhRJZlfVzCQ/rqpnN2OXVdXebWfrJmdKSRPTQ8CNSS4BFr+4q6pj2oukUfrfJPtW1cVtB9HKSfJq4GQ6n/ZvnWQX4ISqOrDVYJI0QTU7SZ1GZ+nXFkl2Bo6sqr9oN5lG4Xw6/cBmM2zppXpDkt2Wd39VXdutLFopQz3d5id5JZ0m9TNazNMKZ0pJE1CSw0car6ovdDuLxqaZRr0W8AiP/0NTVbVue6k0FklmA/sAl1bVrs3Y4k+wJElLSnI1nR2jLhj2e/Omqtqx3WRaEZ+n3pbkKmA34Md0lvA9G7iazmvQGrTeRL0myauA/6PTKuIUOhuTfbiqLmg1WJc5U6rPJPkmnfXEI/KT/t5g8al3VdU6Kz5LE9zCqro3Sds5JKlnVNWcpX5vLmori8bkB0l2qqob2w6ilXI78M6h56/ZQfH9VfWWNkNpdKrqW83Ne4GXtJmlTRal+s/JzffXAxsDX2yOD6HzS0s9IMm2wD8D27PkTgw2oOwBSQ4E9moOLx32D456w01J/hyY3PxdPAb4QcuZJGkim5PkBUA1u5ceA9zcciaNzguBtyT5JZ3le6Ezw8bZwb3hWcMLilV1U9N2QD0gyXTgnTyxp9vb2srUBpfv9akkl1fVXisa08SU5ArgeOATwKuBt9L5+3p8q8G0Qkk+CjyHzm4a0CkIz66qv20vlcYiyTTgg8C+dF6cfwc4saoeajWYJE1QSTYEPgW8jM7vzYuBY6vq960G0wol2XKk8ar6VbezaOySfJlO/9kv0lkt8yZg7ao6pNVgGpUkP6CzfG82w2aXVtXXWgvVAotSfSrJzcArq+q25nhr4MKq2q7dZBqNYTsx3FhVOzVj/1dVL2o7m5YvyY+BXarqseZ4MnCdnzhKkiRpdUqyBnA0j8/Qvxz4rB+k9YYk11fVLm3naJvL9/rXXwKXJrmtOd4KOLK9OBqjh5JMAm5J8m5gHrBRy5k0eusDdzW312sxh8bAnnyStHKaDz/fwxOXoPh7UxpHVfVQks/RmXzw87bzaMy+leSAqrqw7SBtcqZUH0vyZOBZzeHPqsptXntEkufQ6cWwPnAincLGSVV1VZu5tGJJDgE+CnyfzhKGvYAPVNVXWg2mFUqy9/Lur6rLupVFknpJkhuA04AbgceGxv29KY2vpo/px4GpVbV100/qBAvCvWHYrt0P09kxcain20Dt2m1Rqk81PVHeB2xZVe9smvU+04bL0vhLsgmdvlIBrq6qBS1HkiRp3CS5uqqe13YOadAkmQ3sQ2djnV2bsR/bNmJiSzKlqha2nWOicPle/zqDTsO05zfHc4GvAhalJjCXD/W+JK8DvldVFzTH6yd5bVX9d7vJNFpJ9gQ+BGxJ59/JoU+t3P1Skkb2qSTH02lwvnhmflVd214kaSAsrKp7k7SdQ2NzVZK5wLeBb1fV7S3naZVFqf719Kr6s2YpEVX1YPxt1QtObjuAVtnxVfWNoYOquqd5of7f7UXSGJ1Gpy/fEjuhSJKWaSfgzXRmbAwt36vmWNL4uSnJnwOTm5UxxwA/aDmTVqCqdm92vnwF8MkkmwFXABcBlw1a2x2LUv3rkSRr0sy6SfJ0hn1ypYnJ3gt9YdIIY/6u7S33VtVFbYeQpB7yOuBpVfVI20GkAfMe4IN03uf9F/Ad4B9bTaRRqapfAZ8DPpfkScCLgP2Bf0xyR1W9stWAXWRPqT6V5OXA3wHb05lKvSfwlqq6tM1cGp0kv2SEZXwuH5r4kpwO3AN8hs5z+B5gg6p6S4uxNAZJPgpMBr6Oy1AkaYWSnAO8p6p+13YWaVAkmQx8p6pe1nYWrV5JNquqeW3n6BaLUn0syVOBPej0Q7mqqu5sOZJGqXnuhqwBvAF4SlX9Q0uRNEpJ1gL+Hhh6gXAx8JGqur+9VBqLJN8fYbiqymUokjSCJJcCzwZ+xJLFfHthSuMoyQXAm6vq3razaPSS3Mjy+wgPVKN6i1J9Jsluy7vfT/p7V5IrquqFbefQ6CRZu6r+2HYOSZLGW5K9Rxq3LYE0vpKcS2cSwiXA4g9Aq+qY1kJphZp+UgDvar6f3Xw/FHigqk7ofqr2WJTqM8M+4V8D2B24gc5MqWfT2ZreokYPWKq4OInOc3l0Ve3cUiSNUpIXAJ8H1q6qLZLsDBxZVX/RcjSNUpIRZyQO2gsESRqrJOsyrI9iVd3VYhyp7yU5fKTxqvpCt7No7JJcWVV7rmis39l8t89U1UsAknwFOKKqbmyOdwTe32Y2jcm/DLu9ELgdeGM7UTRGnwD2Ay4AqKobkuzVbiSN0fCllmsArwJubimLJE14SY4ATgQepLP7XugsTbEXpjSOLD71vLWSvLCqroDFH26v1XKmrrMo1b+eNVSQAqiqm5Ls0mIejcFQcVG9qarmJBk+tKitLBq7qhpeFCbJyTRFRknSiP4a2MH+pZI0Jm8HTk+yHp1C/r3A29qN1H0WpfrXzUk+D3yRzv/gb8JP+ntGkveNMHwvMLuqru9yHI3NnOZTjkoyFTgG/+71umn4ab8kLc8vgAfaDiFJvaSqZgM7N0ufM6gN6+0p1aeSrAEcDQwtG7oc+GxVPdReKo1Wkv+i00fqm83QK+nsaPMs4KtVdVJb2bR8STYEPkVn973Q2X3v2Kr6favBNGpL7YgyGZgOnFBV/9ZeKkmauJLsCpwBXM2Su+/ZbFmSliHJnwD/BGxaVa9Isj3w/Ko6reVoXWVRSpqAknwH+NOh3duSrA2cB7yOzmyp7dvMp5ElmQx8oare1HYWrbxhO6JAp6fbb6tqYVt5JGmiS3INcAVwI52eUoD9bqTxkuSbPP4B2hNU1YFdjKOVlOQiOgX9D1bVzkmmANdV1U4tR+sql+/1qSTbAv8MbE+nUS8AVeUSlN6wBfDIsONHgS2r6sEkDy/jGrWsqhYlmZ5kalU9suIrNJEkWbuq/lhVv1rROd3MJUk9YGFVjdR6QNL4OLn5/npgYzotWwAOobNBknrDhlV1bpIPAFTVwiQD14vWolT/OgM4ns5OYC8B3kpnKZF6w38BVyU5vzl+NfDlJGsBP20vlkbhduDKJBcwbBe3qvrX1hJptM5Pcj1wPp0ZifcDJHkand+jbwT+k86sRUnS477f7MD3TZZcvndXe5Gk/lVVlwEkObGqhu/y/M0kl7cUS2N3f5Kn0sx6S7IHnT7CA8Xle30qyeyqmpnkxqHpf0n+r6pe1HY2jU6SmcAL6RQTr6iqWS1H0igkOX6k8ar6cLezaOySHAAcCuwJbEBn+d7Pgf8BTquqBS3Gk6QJKckvRxguZ+hL4yvJzcArq+q25nhr4MKq2q7dZBqNJLsBpwA7AjfR6WN6UFX9uNVgXWZRqk8luRJ4EZ1P9L8HzAM+WlXPbDWYRi3JC4Ftq+qMJNOBtatqpBd9kiRJkgZMkv2BU4HbmqGtgCOr6juthdKYNH2knklnIsLPq+rRliN1nUWpPpXkOXS2oV8fOBFYF/h4VV3VZi6NTjPbZnfgmVX1jCSb0tl1b8+Wo2kZkpwKnFJVN45w31rAnwEPV9WXuh5OkqRxlORJLLnr86XAfwzimyup25I8mc4O3QA/qyr7z05wSV6/vPur6uvdyjIRWJTqc0nWGuqLot7R9LXZFbi2qnZtxn5cVc9uNZiWKckuwP8H7ERn+u0ddDYZ2JZOUfh04HO+UJAk9ZsknweeBAzttvdmYFFVvaO9VFL/SzINeB+dDZHe2Wx29cyq+lbL0bQcSc5obm4EvIDOyibo9DC9tKqWW7TqNzY671NJng+cBqwNbJFkZzpTOf+i3WQapUeqqpIMNb1bq+1AWr6quh54Y5K16cxy2wR4ELi5qn7eZjZJksbZc6pq52HH30tyQ2tppMFxBjAbeH5zPBf4KmBRagKrqrcCJPkWsH1VzW+ONwE+02a2NliU6l+fBPYDLgCoqhuS7LXcKzSRnJvkP4D1k7wTeBudXb80wVXVH+ksW1CPSfKU5d3vLlKStEyLkjy9qn4Bi3ctHbhtzaUWPL2q/izJIQBV9WASd1zvHVsNFaQavwWe0VaYtliU6mNVNWep30m+OOgBzT8k59BZG/4HOo3v/qGqLmk1mNT/ZtPZknekF3MFuIuUJI3sr4HvJ7mNzu/QLYG3thtJGgiPJFmTzusUkjwdsFVE77g0yXeAL9N5Dg8Gvt9upO6zKNW/5iR5AVBJpgLH0Gl8rgmuWbb331U1E7AQJXVJVW3ddgZJ6kVV9d2hXjZ0ilI2W5a643jg28DmSb4E7Am8pdVEGrWqenfT9PxFzdCpVfWNNjO1wUbnfSrJhsCngJfReXFwMXBsVf2+1WAalSSfAc6sqh+1nUUaNM1sxUOBravqxCRbABtX1TUtR5OkCSnJu4AvVdU9zfEGwCFV9e+tBpMGQJKnAnvQec93VVXd2XIkaUwsSkkTUJKf0llP/Cvgfjr/yJS7701cSb5JM3V6JFV1YBfjaBUk+SzwGLBPVW3XvLm6uKqe03I0SZqQklxfVbssNXbd0A7CklavJLst7/6qurZbWbTykuwBnAJsB0wFJgP3V9W6rQbrMpfv9Zkkp7D8N8bHdDGOVt4r2g6gMTu5+f56YGPgi83xIcDtbQTSSnteVe2W5DqAqrq7WQYtSRrZpCSp5tPuJJPpvMGSND7+pfm+Bp1dn2+g8yH2s4GrgRe2lEtj8290+kh9lc7zeBiwTauJWmBRqv/MajuAVl1V/artDBqbqroMIMmJVTV8p8tvJrm8pVhaOY82b6iG3lxNpzNzSpI0su/Q2Tn4c3R+dx5Fp8+NpHFQVS8BSPIV4IiqurE53hF4f5vZNDZVdWuSyVW1CDgjyQ/aztRtFqX6TFV9oe0M0oCbnuRpVXUbQJKtgektZ9LYfBr4BrBRko8ABwF/124kSZrQ/gY4Ejiax3uZfr7VRNJgeNZQQQqgqm5KskuLeTQ2DzSz8a9PchIwH1ir5UxdZ0+pPpXkGXSq5FsxrPhYVfu0lUkaBEn2B04FbmuGtgKOrKrvtBZKY5bkWcBL6by5+m5VuXupJC1Hsy39FlX187azSIMiyZfp9J/9Ip1Zim8C1q6qQ1oNplFJsiXwWzrLnf8SWA/496q6tdVgXWZRqk8luQH4HDAbWDQ0XlWzWwslDYgkTwae1Ry6LXaPaXbbe4Kq+nW3s0hSL0hyIPBxYGpVbd3M1DjBTT6k8ZVkDTozFIdaR1wOfLaqHmovlcbCgr5Fqb6VZHZVzWw7hzRokkwD3gdsWVXvTLIt8Myq+lbL0TRKSW6k82lj6DQQ3Rr4eVXt0GowSZqgkswG9gEuHdpxL8mP3TVYkpYtyavpbJY00AX9SW0H0Lj5ZpK/SLJJkqcMfbUdShoAZwCPAM9vjucC/9heHI1VVe1UVc9uvm8LPBe4ou1ckjSBLayqe9sOIQ2aJNsmOS/JT5PcNvTVdi6N2ofovM68B6CqrqfT+mOg2Oi8fx3efP/rYWMFPK2FLNIgeXpV/VmSQwCq6sEkaTuUVl5VXZvkOW3nkKQJ7KYkfw5MbmYIHwMM3A5SUgvOAI4HPgG8BHgrnZne6g0Lq+reQX+rYFGqT1XV1m1nkAbUI83a8AJI8nTAnlI9JMn7hh1OAnYD7mgpjiT1gvcAH6Tz791/Ad/BWcJSN6xZVd9Nkqr6FfChJP9Hp1Clic+CPhal+laSw0Yar6qzup1FGjDHA98GNk/yJWBP4C2tJtJYrTPs9kLgf4CvtZRFkia0JJOBC6rqZXQKU5K656Ekk4BbkrwbmAds1HImjd7wgv6X6RT0T2w1UQtsdN6nkpwy7HANOlubX1tVB7UUSRoYSZ4K7EFn+vRVVXVny5E0CknOrqo3Jzm2qj7Vdh5J6hVJLgDebF8pqbua9gI3A+vTKWasC3y8qq5qM5c0FhalBkSS9YCzB62Tv9QtSXZb3v1VdW23smjlJPkp8ArgAuDFLNWToaruaiGWJE14Sc6l82HMJcD9Q+NVdUxroaQBkmStqrp/xWdqIkjyTZpWHyMZtPfsLt8bHA8A27YdQupj/9J8XwPYHbiBTlHj2cDVwAtbyqXR+xydpZdPA2azZFHKjSIkadn+p/mS1EVJng+cBqwNbJFkZ+DIqvqLdpNpBU5uO8BE4kypPrVU9XUSsD1wblX9bXuppP6X5CvAR6rqxuZ4R+D9VfWWVoNp1JJ8tqqObjuHJEnS8iS5GjiITl+3XZuxm6pqx3aTSaPnTKn+Nbz6uhD4VVXNbSuMNECeNVSQAqiqm5Ls0mIejdHwglSSI6rq1DbzSJIkLUtVzUmW6DiwqK0sGpskewIfArakU5sJUFU1ULPzLUr1qaq6rO0M0oC6OcnngS/Sma34JjoNKNWbjgIsSkmSpIloTpIXAJVkKnAMvu7sJacBf0mnbcTAFhNdvidJq1GSNYCjgb2aocuBz1bVQ+2l0spKct3QdHhJkqSJJMmGwKeAl9GZZXMxcGxV/b7VYBqVJFdX1fPaztE2i1KSJC1DkhkufZakkbmDlCStvCQfBSYDXwceHhoftF27Xb4nSatRkm2Bf6azucAaQ+ODtja8lyU5G3h3Vd1bVXOTbAmcXlUvbTubJE0wQz1MXw9sTGfpOsAhwO1tBJIGQZJTWH5B+JguxtHKG5oltfuwsQL2aSFLayxK9akkrwJO5IlN09ZtNZjU/84Ajgc+AbwEeCudv3/qHVcAVyd5H7AZ8NfAX7UbSZImnqEepklOrKq9ht31zSSXtxRLGgSz2g6gVVdVL2k7w0Tg8r0+leRWOp9a3Vg+yVLXJJldVTOT3FhVOzVj/1dVL2o7m0YvyQuB7wN3ArtW1YKWI0nShJXkZuCVVXVbc7w1cGFVbdduMkmauJL8w0jjVXVCt7O0yZlS/WsOcJMFKanrHkoyCbglybuBecBGLWfSGCR5M/D3wGHAs4ELk7y1qm5oN5kkTVh/CVya5LbmeCvgyPbiSIMhyTOA99P5O7f4vX1VDdTyrx52/7DbawCvYgB3T3SmVJ9K8hw6y/cuY8mmaf/aWihpADR/924G1qfzd3Bd4ONVdVWbuTR6Sf4bOKKqftccPxc4tap2aTOXJE1kSZ4MPKs5/FlVPby88yWtuiQ3AJ8DZgOLhsaranZrobTSmt+jF1TVfm1n6SaLUn0qycXAH4EbgceGxqvqw62FkgZIkrWq6v4Vn6mJavhzmGRqVT3SdiZJmoiSTAPeB2xZVe9sNv14ZlV9q+VoUl8bahvRdg6tHkk2AK6pqm3bztJNLt/rX0+pqn3bDiENmiTPB04D1ga2SLIzcGRV/UW7yTRay3oOAZ9DSRrZGXRmajy/OZ4LfBWwKCWNr28m+QvgGyy5Ouau9iJptJLcyOO7KE4GpgMD1U8KnCnVt5J8FPheVV3cdhZpkCS5GjiIztTbXZuxm6pqx3aTabR8DiVpbJLMqqrdk1w37PfmDVW1c9vZpH6W5JcjDFdVPa3rYTRmSbYcdrgQ+G1VLWwrT1ucKdW/3gUcl+Rh4FE6W9JXVa3bbiyp/1XVnCTDhxYt61xNTD6HkjQmjyRZk+YT/yRPZ9isDUnjo6q2bjuDxi7J2lX1x6r61YrO6WautliU6lNVtU7bGaQBNSfJC4BKMhU4hgHcRaPH+RxK0tgcD3wb2DzJl4A9gbe0mkgaAEkOG2m8qs7qdhaNyflJrgfOB2YP62H6NOAlwBuB/wTOay1hF7l8r08l2Wuk8aq6vNtZpEGSZEPgU8DL6MxQvBg4tqp+32owjZrPoSSNXZKnAnvQ+b15VVXd2XIkqe8lOWXY4RrAS4Frq+qgliJplJIcABxKp4i/AZ3lez8H/gc4raoWtBivqyxK9akk3xx2uAbwXDpV2H1aiiRJkqQ+kmS35d1fVdd2K4skSLIecHZVHdh2Fmm0XL7Xp6rq1cOPk2wOnNRSHKnvNZ9ULbPKX1XHdDGOVoLPoSSN2b8039cAdgduoDNT6tnA1cALW8olDaoHgG3bDiGNhUWpwTEXcOcoafzMajuAVpnPoSSNQVW9BCDJV4AjqurG5nhH4P1tZpMGQbM6ZugDtUnA9sC57SWSxs7le31qqU/8JwG7ALdX1ZtaCyVJE1iSs6vqzUmOrapPtZ1HknpFkuurapcVjUlavZLsPexwIfCrqprbVh5pZViU6lNJDh92uJBOQerKtvJIgyLJM+h8OrwVw2aj2s9t4kvyU+AVwAXAi+ksQVmsqu5qIZYkTXhJvgzcD3yRzoeibwLWrqpDWg0mSRNQkqcs7/5Be81pUUqSVqMkNwCfA2YDi4bGq2p2a6E0KkmOAY4GngbMY8miVFXV01oJJkkTXJI16Pz+HNr9+XLgs1X1UHupJGliSvJLOgX8jHD3wL3mtCjVZ5KcW1VvTHIjSzbsDZ3/wZ/dUjRpICSZXVUz286hlZfks1V1dNs5JEmSpH5nUarPJNmkquYn2XKk+6vqV93OJA2SJB8Cfgd8A3h4aHzQpuFKkgZHkm2Bf6bTZHmNofFB+7RfksYiSYBDga2r6sQkWwAbV9U1LUfrKotSfS7JuizZ18Y3xtI4aqbjLm3gpuFKkgZHkiuA44FPAK8G3krnfcbxrQaT+lySVwEnAlvSec83tDpm3VaDaVSSfBZ4DNinqrZLsgFwcVU9p+VoXWVRqk8lORI4AXiQx5fx+cZYkiRJq9XQ0vUkN1bVTs3Y/1XVi9rOJvWzJLcCrwduLN/Y95wk11bVbkmuq6pdm7EbqmrntrN105QVn6Ie9X5gh6q6s+0g0iBJcthI41V1VrezSJLUJQ8lmQTckuTddDaL2KjlTNIgmAPcZEGqZz2aZDLNJJIk0+nMnBooFqX61y+AB9oOIQ2g4dNt1wBeClwLWJSSJPWr9wLTgGPoLCV6CXB4m4GkAXEccGGSy1iyl+m/thdJY/BpOn1oN0ryEeAg4O/ajdR9Lt/rU0l2Bc4ArmbJX1DHtBZKGkBJ1gPOrqoD284iSdJ4SrJWVd3fdg5pUCS5GPgjcCPDZthU1YdbC6UxSfIsOh9iB/huVd3ccqSuc6ZU//oP4Hss9QtKUtc9AGzbdghJksZLkucDpwFrA1sk2Rk4sqr+ot1kUt97SlXt23YIrZxmt70HgG8OH6uqX7eXqvssSvWvhVX1vrZDSIMmyTd5fHOBSXS2xz63vUSSJI27TwL7ARcAVNUNSfZqNZE0GP43yb5VdXHbQbRS/ofO+4bQafuxNfBzYIc2Q3WbRan+9f0kR9Cpug5fvndXe5GkgXDysNsLgV9V1dy2wkiS1A1VNSfJ8KFFbWWRBsi7gOOSPAw8Sqe4UVW1bruxNBpDu5UOSbIbcGRLcVpjUap//Xnz/QPDxgp4WgtZpIFRVZe1nUGSpC6bk+QFQCWZSqfh+cD1RZG6rarWaTuDVp+qujbJc1Z8Zn+x0bkkSZKklZZkQ+BTwMvozNS4GDi2qn7fajCpzy1rmWxVXd7tLBq7JMPb7UwCdgOeWlX7tRSpFRal+lSSacD7gC2q6ogk2wLPrKpvtRxNkiRJkrSKml6mQ9YAngvMrqp9WoqkMUhy/LDDhcDtwNeq6qF2ErXD5Xv96wxgNvCC5ngu8FXAopQkSZJWWZJTeHxzjyeoqmO6GEcaOFX16uHHSTYHTmopjkYpydlV9Wbgnqr6VNt52mZRqn89var+LMkhAFX1YJbqPilp9UvyKuBEYEs6v2NtOClJ6lez2g4gaQlzgR3bDqEVmplkS+BtSc6i835hsUHbnMyiVP96JMmaNJ9eJXk6w3bhkzRuPgm8HrixXB8tSepjVfWFtjNIg2yp2YqTgF2AG1oLpNH6HPBtOpuQzWbJotTAbU5mT6k+leTlwN8B29NpNrkn8JaqurTNXFK/S/J94KVV9VjbWSRJ6oYkzwDeD2zFsA+97Wsjja8khw87XAjcXlVXtpVHY5Pks1V1dNs52mZRqg8lmQQcBHwX2INO5fWqqrqz1WDSAGi2cT0RuIxhsxOr6l9bCyVJ0jhKcgOdT/5nA4uGxqtqdmuhJKmHJDmiqk5tO0cbLEr1qSSXV9WIW4RKGj9JLgb+CNwILJ4tVVUfbi2UJEnjKMnsqprZdg5pUCQ5t6remORGltxsYKiX6bNbiqaVlOTaqtqt7RxtsCjVp5L8PfAgcA5w/9D4oDVNk7otyayq2r3tHJIkdUuSDwG/A77BkrOEfd0pjYMkm1TV/P+/vbsPurwu6zj+/qxGiyDOmjqZssQaoUHsLiqPO0TCiJjVZGjDGEQ1glizFGHjHxKpYzlODyDNLFhKhY4DViRIgzBA8oyyrOsaGz0MLFA6hpTxZAhc/XF+C+de9+E+5z73+e455/2aYfb8vufps3/c7Lmvc32vbzcs+/tU1ZZxZ9LCJNlQVatb52jBotSUSnLfdparqmZqaJo0bkk+CtxQVde2ziJJ0jj4uVNqK8k+zJ3nZkF4wiR5dVU91DpHCxalJGmEkjwK7EXvm+Lv8Xwb9T5Ng0mSJGmqJDkD+BC9HTJbf7G3IDwhklwK/GZVfae73g/4VFUd1zbZeL1w1w/RJEqyFHgvsIbe/6BuBi6qqu82DSZNuap6cesMkiSNU5JTt7deVX897izSjDkHOMgDrSbWLcCdSc4GXgW8D/idtpHGz06pKZXkcuBR4NPd0snAsqp6R7tU0vRLst0DBqrqpnFnkSRpHJJc2He5FDgOuLuqTmoUSZoJSa4B3l5VT7TOouEkWQPcCDwMrK6qbzaONHYWpaZUko1VtXJXa5JGK8lVfZdLgcOA9VX1pkaRJEkaqyQvAS6tqp9rnUWaZklWA5cAdzL3kIG1zUJp3pKcApwLnAccApwA/GpVbWwabMzcvje9NiQ5oqruAEhyOHBr40zS1Kuqn+2/TrIv8LFGcSRJauEJ4IDWIaQZcDFwA7AJeLZxFg3uF4E1VfUt4LNJrgD+CljVNNWY2Sk1pZJsBg4EHuiWlgOb6f3PqqrqkFbZpFmSJMDXquonW2eRJGkxdF3CW3+pWAL8BHB5Vb2/XSpp+iW5raqOap1DC5Nkr6p6vLu9R1U91TrTONkpNb3e0jqANIu6uRr9H8xXATPVgitJmjl/1Hf7aWDLrB5tLo3ZjUlOB65i7va9R9pF0nwlORL4JLA3sDzJSuAMegeWzQw7pSRphJL8St/l08D9VeXWWUmSJI1Ukvu2s1xVtWLsYTSwJHcCJwFXVtXqbu3rVXVw22TjZaeUJI1QVf1V6wySJEmaflW1f+sMWpiqerA37eM5z7TK0opFKUkagSSXV9U7k2zi+e17AME5bpIkSRqxJC8CzgaWV9XpSQ4ADqyqLzSOpvl5MMlRQCXZA1hLbw70THH7niSNQJJXVtU3kuy3vfurasu4M0mSJGl6JbkMWA+cWlUHJ9kTuL2qVrVNpvlI8jLgAuB4el9kXwucVVXfbhpszCxKSdIiSLIPfd2oDpyUJE2rJG8DPgzsR+/fvq1dwvs0DSZNuSR3VdUbkmzom0m0sapWts4mzZfb9yRphJKcAXwIeJLnt/EV4MBJSdK0Oh94O7Cp/MZbGqenuu6oAkjyGvpO4dPuaZvTur9PVa0dY5zmLEpJ0midAxxUVQ+3DiJJ0pg8CHzdgpQ0ducB1wD7JvkMcDRwWtNEmo+7WgfYnViUkqTR+nfgidYhJEkao98F/iHJl+jr0qiqP2kXSZpuSZYAy+h1KR5Bb9vsWX4xOhGOr6pTkpxVVRe0DtOaM6UkaYSSrAYuAe5k7gfzmWrDlSTNjiTXAo8Bm4Bnt65X1QebhZJmQJKbquqY1jk0mCT3ACcCVwLH0isoPmfWZtHaKSVJo3UxcAPbfDCXJGmKvbSq3tw6hDSDrktyDnAZ8PjWxVkrakygi+htu1xB7/TE/qLUzM2itVNKkkYoyW1VdVTrHJIkjUuSjwI3VNW1rbNIsyTJfdtZrqqaqaLGpEqyrqrObJ2jNYtSkjRCST4CbAGuYu72Pb+xkiRNpSSPAnvR+3fve/S+9a+q2qdpMEnSbs+ilCSNkN9YSZIkaRySLAXeC6yht+3rZuCiqvpu02DSACxKSZIkSRpaku0OWq6qm8adRZolSS4HHgU+3S2dDCyrqne0SyUNxqKUJI1QkhcBZwPLq+r0JAcAB1bVFxpHkyRpUSS5qu9yKXAYsL6q3tQokjQTkmysqpW7WpN2Z56+J0mjdQm9UzS2Djt/CPgcYFFKkjSVqupn+6+T7At8rFEcaZZsSHJEVd0BkORw4NbGmaSBLGkdQJKmzGuq6mP0Br1SVU8y95hXSZKm3UPAwa1DSDPgcOC2JPcnuR+4HfipJJuSfK1tNGl+7JSSpNF6Ksme9IZNkuQ19J3CJ0nStElyId2/e/S+9F4FbGwWSJodb2kdQFooi1KSNFrnAdcA+yb5DHA0cFrTRJIkLa67+m4/DXy2qtxCJC2SJHtX1WNVtWVnjxlnJmlYDjqXpBFJsgQ4CbgeOILetr07qurhpsEkSZI0NZJcD3wV+Dy9QwUe79ZXAD8NvBP486r6m2YhpXmyKCVJI5Tkpqra7tHYkiRNkySXV9U7k2zi+e170PtSpqrqkEbRpKmX5K3Au+h15S+j16V4L3A18Mmq+mbDeNK8WZSSpBFKci7wJHAZ8PjW9ap6pFkoSZIWQZJXVtU3kuy3vft3trVIkiSwKCVJI5Xkvu0sV1WtGHsYSZLGKMk+9M2s9QsZSdKuWJSSJEmSNLQkZwAfotcpvPWXC7+QkSTtkkUpSRqhJEuB9wJr6H0wvxm4qKq+2zSYJEmLJMm/Akd6sIckaVAv3PVDJEkD+GvgUeDC7vpk4FLgHc0SSZK0uP4deKJ1CGlWJHnpzu5366wmiZ1SkjRCSTZW1cpdrUmSNC2SrAYuAe4E/m/relWtbRZKmmLdDNOid9Llttw6q4lip5QkjdaGJEdU1R0ASQ4Hbm2cSZKkxXQxcAOwCXi2cRZp6lXV/q0zSKNip5QkjVCSzcCBwAPd0nJgM70P6VVVh7TKJknSYkhyW1Ud1TqHNGuSBHgXsH9VfTjJcuCHq+rLjaNJ82ZRSpJGKMl+O7u/qraMK4skSeOQ5CPAFuAq5m7fc66NtIiSrKP3xeebqup1SZYB11bVGxtHk+bNopQkSZKkoXXzbbblXBtpkSW5u6oOTbKhqlZ3a84y1URxppQkSZKkoTnfRmrme0leQG/oOUlejnPdNGGWtA4gSZIkaXIleVGSDyT5RHd9QJK3tc4lzYCPA1cAr+i20d4C/EHbSNJg3L4nSZIkaWhJLgPWA6dW1cFJ9gRur6pVbZNJ0y/Ja4HjgADXV9XmxpGkgViUkiRJkjS0JHdV1RucayONV3fa3vepqge2ty7tjpwpJUmSJGkhnuq6o7bOtXkNfafwSVo0V9P7uQuwFNgfuBc4qGUoaRAWpSRJkiQtxHnANcC+ST4DHA2c1jSRNAOq6if7r5McCpzRKI40FLfvSZIkSRpKkiXAScD1wBH0OjbuqKqHmwaTZlSSu6vq0NY5pPmyKCVJkiRpaEluqqpjWueQZk2Ss/sulwCHAj9UVSc0iiQNzO17kiRJkhbiuiTnAJcBj29drKpH2kWSZsKL+24/TW/G1N82yiINxU4pSZIkSUNLct92lquqVow9jDQDklxaVackOauqLmidR1oIi1KSJEmSJE2IJPcAJwJXAsfSm+X2HLsUNUncvidJkiRpaEmWAu8F1tA7nv5m4KKq+m7TYNL0uojeiZcrgPXMLUpVty5NBDulJEmSJA0tyeXAo8Cnu6WTgWVV9Y52qaTpl2RdVZ3ZOoe0EBalJEmSJA0tycaqWrmrNUmLJ8npVfWJ1jmkQS1pHUCSJEnSRNuQ5IitF0kOB25tmEeaRe9pHUAahp1SkiRJkoaWZDNwIPBAt7Qc2Aw8S+8UvkNaZZNmRZINVbW6dQ5pUBalJEmSJA0tyX47u7+qtowrizSrkry6qh5qnUMalEUpSZIkSQNLsndVPbbQx0gaTpJLgd+squ901/sBn6qq49omk+bPmVKSJEmShvH5JH+c5Jgke21dTLIiya8n+SLwlob5pGl3C3BnkrcmeTdwHXB+20jSYOyUkiRJkjSUJG8F3gUcDSwDngbuBa4GPllV32wYT5p6SdYANwIPA6v9mdOksSglSZIkSdKESXIKcC5wHnAIcALwq1W1sWkwaQAWpSRJkiRJmjBJ/h44vaq+1V0fBnyiqla1zCUNwqKUJEmSJEkTKsleVfV4d3uPqnqqdSZpvhx0LkmSJEnShElyZJJ7gM3d9UocdK4JY6eUJEmSpIEleenO7q+qR8aVRZpFSe4ETgKurKrV3drXq+rgtsmk+Xth6wCSJEmSJtJ6oIBs574CVow3jjR7qurBZM6P4DOtskjDsCglSZIkaWBVtX/rDNKMezDJUUAl2QNYS7eVT5oUzpSSJEmSNLT0/HKSc7vr5d0pYJIW13uA3wBeBTwErOqupYnhTClJkiRJQ0uyDngWeFNVvS7JMuDaqnpj42iSpN2c2/ckSZIkLcThVXVokg0AVfXf3VYiSYsgyYX05rZtV1WtHWMcaUEsSkmSJElaiO8leQHdL8lJXk6vc0rS4rirdQBpVCxKSZIkSVqIjwNXAK9I8hF6R9R/oG0kaaodX1WnJDmrqi5oHUZaCGdKSZIkSVqQJK8FjgMCXF9VngAmLZIk9wAnAlcCx9L7uXtOVT3SIJY0FItSkiRJkoaWZPn21qvqgXFnkWZBkrXAmcAK4D+YW5SqqlrRJJg0BItSkiRJkoaWZBO9eVIBlgL7A/dW1UFNg0lTLsm6qjqzdQ5pISxKSZIkSRqZJIcCZ1TVGa2zSJJ2b0taB5AkSZI0ParqbuCNrXNIknZ/nr4nSZIkaWhJzu67XAIcCvxXoziSpAliUUqSJEnSQry47/bTwNXA3zbKIkmaIBalJEmSJA0syaVVdQrwP1V1Qes8kqTJ46BzSZIkSQNLcg9wInAlcCxzj6Wnqh5pEEuSNEHslJIkSZI0jIuAa4AVwHrmFqWqW5ckaYfslJIkSZI0tCTrqurM1jkkSZNnSesAkiRJkiZXf0Eqyekts0iSJotFKUmSJEmj8p7WASRJk8OilCRJkqRRya4fIklSjzOlJEmSJI1EkldX1UOtc0iSJoOdUpIkSZKGluTSJC8BqKqHkuyX5PrWuSRJuz+LUpIkSZIW4hbgziRvTfJu4Drg/LaRJEmTwO17kiRJkhYkyRrgRuBhYHVVfbNxJEnSBLBTSpIkSdLQkpwCfAo4FfhL4B+SrGwaSpI0EeyUkiRJkjS0JH8PnF5V3+quDwM+UVWrWuaSJO3+LEpJkiRJWrAke1XV493tParqqdaZJEm7N7fvSZIkSRpakiOT3ANs7q5X4qBzSdI8WJSSJEmStBDnAycA3waoqo3AMS0DSZImg0UpSZIkSQtSVQ9us/RMkyCSpInywtYBJEmSJE20B5McBVSSPYC1dFv5JEnaGQedS5IkSRpakpcBFwDHAwGuBc6qqm83DSZJ2u1ZlJIkSZIkSdLYuX1PkiRJ0sCSXAjs8Bvuqlo7xjiSpAlkUUqSJEnSMO5qHUCSNNksSkmSJEkaxvFVdUqSs6rqgtZhJEmTx5lSkiRJkgaW5B7gROBK4Fh6Q86fU1WPNIglSZogdkpJkiRJGsZFwDXACmA9c4tS1a1LkrRDdkpJkiRJGlqSdVV1ZusckqTJY1FKkiRJkiRJY7ekdQBJkiRJkiTNHotSkiRJkiRJGjuLUpIkSX2SPJPkq33/vX8Br3XbiDL9fpL/6Mv00SFf5x+TvGGbtSu61/y3JN/pe4+jRpFdkiRpRzx9T5Ikaa4nq2rVKF6oqkZZ2PnTqvqjEb4eAFX1CwBJjgXOqaq3jfo9JEmStsdOKUmSpHlIcn+SDya5O8mmJK/t1l+e5Lpu/eIkW5K8rLvvse7PY7supb9J8s9JPpMk3X2vT/KlJOuTfDHJK+eZ57Qkf9Z3/YWusESSNye5vcv0uSR7D/h3vTnJqr7rW5Mc0nVsXZrkhiT/muTdfY95X5KvJPlakg8O8n6SJGk2WZSSJEmaa89ttu/9Ut99D1fVocA64Jxu7Tzghm79CmD5Dl53NfBbwE8AK4Cjk/wAcCFwUlW9HvgU8JEdPP+3+zKdsKPwXUHsA8DxXaa7gLN3/dee4y+A07rX+3HgB6vqa919hwA/AxwJ/F6SH0nyZuAA4DBgFfD6JMcM+J6SJGnGuH1PkiRprp1t3/u77s/1wNu722uAXwCoqmuS/PcOnvvlqnoIIMlXgR8F/gc4GLiua5x6AfCNHTx/zva9JKft4HFH0Ct83dq95h7A7Tt47I58Djg3yfuAXwP+su++z1fVk8CTSW6kV4haA7wZ2NA9Zm96RaqbBnxfSZI0QyxKSZIkzd//dX8+w/OfozLgc/ufH+CfqurIIbI8zdyu96V9ea6rqpOHeE0AquqJJNcBPw+8E+gfjl7bPrx7zz+sqouHfU9JkjR73L4nSZK0MLfQK9zQbWNbNsBz7wVenuTI7vk/kOSgeT73fmBVkiVJ9qXXsQRwB72tgT/WveaLui14g/oL4OPAV6rqkb71n0+yNMkPAccCXwG+CPza1tlVSV6V5BVDvKckSZohdkpJkiTNtWe3vW6ra6rq/Tt5/AeBz3azp75Eb/vdo/N5o6p6KslJwMeTvITeZ7PzgX+ax9NvBe4DNgFfB+7uXvO/uq19n03yg91jPwD8y3wy9WVbn+R/gUu2uevLwNX0Zmd9uKr+E/jPJK8Dbu+2DD4G/DLwrUHeU5IkzZZUbduBLUmSpPnqCj/PVNXTXcfTup3MpJoYSX4E+EfgtVX1bLf2+8Bj/bOtJEmShmWnlCRJ0sIsBy5PsgR4Cnh34zwLluRUeqcAnr21ICVJkjRqdkpJkiRJkiRp7Bx0LkmSJEmSpLGzKCVJkiRJkqSxsyglSZIkSZKksbMoJUmSJEmSpLGzKCVJkiRJkqSxsyglSZIkSZKksft/vBYPInP8c3UAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f,ax=plt.subplots(1,1,figsize=(20,8))\n",
    "sns.barplot(data=data,x='Engine Fuel Type',y='Price',ax=ax,hue='Engine Cylinders')\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### we can see that flex-fuel (premium unleaded required/E85) engine feul type with 8 cylinder has the highest price."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f,ax=plt.subplots(1,1,figsize=(20,8))\n",
    "sns.barplot(data=data,x='Driven_Wheels',y='Price',ax=ax,hue='Transmission Type')\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "####  all wheel drive with automated_manual has the highest price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f,ax=plt.subplots(1,1,figsize=(20,8))\n",
    "sns.barplot(data=data,x='Vehicle Size',y='Price',ax=ax,hue='Transmission Type')\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### we can see that large vehicle size with automated_manual drive has the highest price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "i=1\n",
    "plt.figure(figsize=(15,20))\n",
    "for j in num_var1:\n",
    "    plt.subplot(4,2,i)\n",
    "    sns.scatterplot(y=data['Price'],x=data[j])\n",
    "    i+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(data.corr(),linewidths=1,cmap='autumn_r')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### we can see that as Engine HP increases Price is increase                                                                                                                                                                                                                                                                            -as MPG increase price decreases"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### FEATURE ENGINEERING"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Make',\n",
       " 'Model',\n",
       " 'Engine Fuel Type',\n",
       " 'Transmission Type',\n",
       " 'Driven_Wheels',\n",
       " 'Market Category',\n",
       " 'Vehicle Size',\n",
       " 'Vehicle Style']"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lb=LabelEncoder()\n",
    "cat_var"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1=data.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1['Model']=data1['Model'].apply(lambda x: str(x))#convert model's unique value to str"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in cat_var:\n",
    "    data1[i]=lb.fit_transform(data1[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Make</th>\n",
       "      <th>Model</th>\n",
       "      <th>Year</th>\n",
       "      <th>Engine Fuel Type</th>\n",
       "      <th>Engine HP</th>\n",
       "      <th>Engine Cylinders</th>\n",
       "      <th>Transmission Type</th>\n",
       "      <th>Driven_Wheels</th>\n",
       "      <th>Number of Doors</th>\n",
       "      <th>Market Category</th>\n",
       "      <th>Vehicle Size</th>\n",
       "      <th>Vehicle Style</th>\n",
       "      <th>highway MPG</th>\n",
       "      <th>city mpg</th>\n",
       "      <th>Popularity</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2011</td>\n",
       "      <td>8</td>\n",
       "      <td>335.0</td>\n",
       "      <td>6.0</td>\n",
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       "      <td>3916.0</td>\n",
       "      <td>46135</td>\n",
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       "      <th>1</th>\n",
       "      <td>4</td>\n",
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       "      <td>2011</td>\n",
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       "      <td>300.0</td>\n",
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       "      <td>3916.0</td>\n",
       "      <td>40650</td>\n",
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       "      <th>2</th>\n",
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       "      <th>3</th>\n",
       "      <td>4</td>\n",
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       "      <td>18.0</td>\n",
       "      <td>3916.0</td>\n",
       "      <td>29450</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>11909</th>\n",
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       "      <td>901</td>\n",
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       "      <td>8</td>\n",
       "      <td>300.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
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       "      <td>204.0</td>\n",
       "      <td>46120</td>\n",
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       "    <tr>\n",
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       "      <td>50620</td>\n",
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       "    <tr>\n",
       "      <th>11912</th>\n",
       "      <td>0</td>\n",
       "      <td>901</td>\n",
       "      <td>2013</td>\n",
       "      <td>7</td>\n",
       "      <td>300.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>23.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>50920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11913</th>\n",
       "      <td>25</td>\n",
       "      <td>902</td>\n",
       "      <td>2006</td>\n",
       "      <td>9</td>\n",
       "      <td>221.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>63</td>\n",
       "      <td>2</td>\n",
       "      <td>14</td>\n",
       "      <td>26.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>28995</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11914 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Make  Model  Year  Engine Fuel Type  Engine HP  Engine Cylinders  \\\n",
       "0         4      1  2011                 8      335.0               6.0   \n",
       "1         4      0  2011                 8      300.0               6.0   \n",
       "2         4      0  2011                 8      300.0               6.0   \n",
       "3         4      0  2011                 8      230.0               6.0   \n",
       "4         4      0  2011                 8      230.0               6.0   \n",
       "...     ...    ...   ...               ...        ...               ...   \n",
       "11909     0    901  2012                 8      300.0               6.0   \n",
       "11910     0    901  2012                 8      300.0               6.0   \n",
       "11911     0    901  2012                 8      300.0               6.0   \n",
       "11912     0    901  2013                 7      300.0               6.0   \n",
       "11913    25    902  2006                 9      221.0               6.0   \n",
       "\n",
       "       Transmission Type  Driven_Wheels  Number of Doors  Market Category  \\\n",
       "0                      3              3              2.0               38   \n",
       "1                      3              3              2.0               67   \n",
       "2                      3              3              2.0               64   \n",
       "3                      3              3              2.0               67   \n",
       "4                      3              3              2.0               63   \n",
       "...                  ...            ...              ...              ...   \n",
       "11909                  1              0              4.0               13   \n",
       "11910                  1              0              4.0               13   \n",
       "11911                  1              0              4.0               13   \n",
       "11912                  1              0              4.0               13   \n",
       "11913                  1              2              4.0               63   \n",
       "\n",
       "       Vehicle Size  Vehicle Style  highway MPG  city mpg  Popularity  Price  \n",
       "0                 0              8         26.0      19.0      3916.0  46135  \n",
       "1                 0              6         28.0      19.0      3916.0  40650  \n",
       "2                 0              8         28.0      20.0      3916.0  36350  \n",
       "3                 0              8         28.0      18.0      3916.0  29450  \n",
       "4                 0              6         28.0      18.0      3916.0  34500  \n",
       "...             ...            ...          ...       ...         ...    ...  \n",
       "11909             2              2         23.0      16.0       204.0  46120  \n",
       "11910             2              2         23.0      16.0       204.0  56670  \n",
       "11911             2              2         23.0      16.0       204.0  50620  \n",
       "11912             2              2         23.0      16.0       204.0  50920  \n",
       "11913             2             14         26.0      17.0       155.0  28995  \n",
       "\n",
       "[11914 rows x 16 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "sc=StandardScaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaled=sc.fit_transform(data1.drop(columns='Price'))\n",
    "scaled=pd.DataFrame(scaled,columns=data1.drop(columns='Price').columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
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       "      <td>-1.293007</td>\n",
       "      <td>-0.541361</td>\n",
       "      <td>-0.656100</td>\n",
       "      <td>-0.941828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11913</th>\n",
       "      <td>0.121864</td>\n",
       "      <td>1.639693</td>\n",
       "      <td>-0.578453</td>\n",
       "      <td>0.560161</td>\n",
       "      <td>-0.259374</td>\n",
       "      <td>0.294163</td>\n",
       "      <td>-0.487387</td>\n",
       "      <td>0.215440</td>\n",
       "      <td>0.639646</td>\n",
       "      <td>1.253496</td>\n",
       "      <td>1.180202</td>\n",
       "      <td>1.148467</td>\n",
       "      <td>-0.032128</td>\n",
       "      <td>-0.440197</td>\n",
       "      <td>-0.975899</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11914 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Make     Model      Year  Engine Fuel Type  Engine HP  \\\n",
       "0     -1.321914 -1.704637  0.081228          0.004014   0.958566   \n",
       "1     -1.321914 -1.708349  0.081228          0.004014   0.584637   \n",
       "2     -1.321914 -1.708349  0.081228          0.004014   0.584637   \n",
       "3     -1.321914 -1.708349  0.081228          0.004014  -0.163221   \n",
       "4     -1.321914 -1.708349  0.081228          0.004014  -0.163221   \n",
       "...         ...       ...       ...               ...        ...   \n",
       "11909 -1.596919  1.635982  0.213164          0.004014   0.584637   \n",
       "11910 -1.596919  1.635982  0.213164          0.004014   0.584637   \n",
       "11911 -1.596919  1.635982  0.213164          0.004014   0.584637   \n",
       "11912 -1.596919  1.635982  0.345101         -0.552132   0.584637   \n",
       "11913  0.121864  1.639693 -0.578453          0.560161  -0.259374   \n",
       "\n",
       "       Engine Cylinders  Transmission Type  Driven_Wheels  Number of Doors  \\\n",
       "0              0.294163           1.675670       1.152896        -1.630122   \n",
       "1              0.294163           1.675670       1.152896        -1.630122   \n",
       "2              0.294163           1.675670       1.152896        -1.630122   \n",
       "3              0.294163           1.675670       1.152896        -1.630122   \n",
       "4              0.294163           1.675670       1.152896        -1.630122   \n",
       "...                 ...                ...            ...              ...   \n",
       "11909          0.294163          -0.487387      -1.659471         0.639646   \n",
       "11910          0.294163          -0.487387      -1.659471         0.639646   \n",
       "11911          0.294163          -0.487387      -1.659471         0.639646   \n",
       "11912          0.294163          -0.487387      -1.659471         0.639646   \n",
       "11913          0.294163          -0.487387       0.215440         0.639646   \n",
       "\n",
       "       Market Category  Vehicle Size  Vehicle Style  highway MPG  city mpg  \\\n",
       "0             0.342328     -1.105198      -0.072270    -0.032128 -0.008390   \n",
       "1             1.399283     -1.105198      -0.479182     0.307361 -0.008390   \n",
       "2             1.289943     -1.105198      -0.072270     0.307361  0.207513   \n",
       "3             1.399283     -1.105198      -0.072270     0.307361 -0.224294   \n",
       "4             1.253496     -1.105198      -0.479182     0.307361 -0.224294   \n",
       "...                ...           ...            ...          ...       ...   \n",
       "11909        -0.568840      1.180202      -1.293007    -0.541361 -0.656100   \n",
       "11910        -0.568840      1.180202      -1.293007    -0.541361 -0.656100   \n",
       "11911        -0.568840      1.180202      -1.293007    -0.541361 -0.656100   \n",
       "11912        -0.568840      1.180202      -1.293007    -0.541361 -0.656100   \n",
       "11913         1.253496      1.180202       1.148467    -0.032128 -0.440197   \n",
       "\n",
       "       Popularity  \n",
       "0        1.639238  \n",
       "1        1.639238  \n",
       "2        1.639238  \n",
       "3        1.639238  \n",
       "4        1.639238  \n",
       "...           ...  \n",
       "11909   -0.941828  \n",
       "11910   -0.941828  \n",
       "11911   -0.941828  \n",
       "11912   -0.941828  \n",
       "11913   -0.975899  \n",
       "\n",
       "[11914 rows x 15 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data1.corr()[['Price']].sort_values(by='Price').plot(kind='bar',color='red')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We can see the importance of feature importance of each feature in determinig of price of car"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model Selection "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "X=scaled\n",
    "Y=data[['Price']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train,x_test,y_train,y_test=train_test_split(X,Y,test_size=0.3,random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "sgd=SGDRegressor()\n",
    "lasso=Lasso()\n",
    "ridge=Ridge()\n",
    "rf=RandomForestRegressor()\n",
    "dt=DecisionTreeRegressor()\n",
    "gboost=GradientBoostingRegressor()\n",
    "bagging=BaggingRegressor()\n",
    "adboost=AdaBoostRegressor()\n",
    "knn=KNeighborsRegressor()\n",
    "etr=ExtraTreesRegressor()\n",
    "gamma=GammaRegressor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "algo=[sgd,lasso,ridge,rf,dt,gboost,bagging,adboost,knn,etr]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SGDRegressor() 0.48940821785875277\n",
      "Lasso() 0.5043529774329394\n",
      "Ridge() 0.5043671489538879\n",
      "RandomForestRegressor() 0.9360998217433596\n",
      "DecisionTreeRegressor() 0.9258441295591222\n",
      "GradientBoostingRegressor() 0.8703546936449629\n",
      "BaggingRegressor() 0.9332809711997815\n",
      "AdaBoostRegressor() 0.17262292980354144\n",
      "KNeighborsRegressor() 0.8673672573392714\n",
      "ExtraTreesRegressor() 0.9475873463127207\n"
     ]
    }
   ],
   "source": [
    "model=[]\n",
    "accuracy=[]\n",
    "for i in range(len(algo)):\n",
    "    algo[i].fit(x_train,y_train)\n",
    "    accuracy.append(algo[i].score(x_test,y_test))\n",
    "    model.append(algo[i])\n",
    "    print(model[i],accuracy[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "etr1=ExtraTreesRegressor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ExtraTreesRegressor()"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "etr1.fit(x_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9460166048923397"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "etr1.score(x_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9425308892672402\n"
     ]
    }
   ],
   "source": [
    "cv_score=cross_val_score(etr1,x_train,y_train,cv=10)\n",
    "print(cv_score.mean())# mean cross-validation score is .9467"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred=etr1.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 15 artists>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.barh(X.columns,etr1.feature_importances_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Here we cann see the feature importance in determining the price of car"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### R-Square"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9460166048923397"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r2_score(y_test,y_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adjusted R-Square Score=1-(1-R^2)* (n-1)/(n-k-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9459485471577108\n"
     ]
    }
   ],
   "source": [
    "print(1-(1-r2_score(y_test,y_pred))* (len(Y)-1)/(len(Y)-X.shape[1]-1))# so we have got adjusted r2 \n",
    "                                                                      #as .9467"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### MSE,RMSE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean square error is: 118605180.27262978\n",
      "root mean square error is : 10890.600546922551\n"
     ]
    }
   ],
   "source": [
    "print('mean square error is:',mean_squared_error(y_pred,y_test))\n",
    "print('root mean square error is :',np.sqrt(mean_squared_error(y_pred,y_test)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_value=range(len(y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,5))\n",
    "plt.plot(x_value,y_test,color='blue',label='Actual',lw=.6)\n",
    "plt.plot(x_value,y_pred,color='green',label='predicted',lw=.6)\n",
    "plt.legend()\n",
    "plt.title('Actual Price VS Predicted Price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_test1=y_test.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_test1['predicted_price']=y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Price</th>\n",
       "      <th>predicted_price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.972671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>predicted_price</th>\n",
       "      <td>0.972671</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Price  predicted_price\n",
       "Price            1.000000         0.972671\n",
       "predicted_price  0.972671         1.000000"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test1.corr()# accuracy is 97.30%"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Linear Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Make', 'Model', 'Year', 'Engine Fuel Type', 'Engine HP',\n",
       "       'Engine Cylinders', 'Transmission Type', 'Driven_Wheels',\n",
       "       'Number of Doors', 'Market Category', 'Vehicle Size', 'Vehicle Style',\n",
       "       'highway MPG', 'city mpg', 'Popularity'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "lr=LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Make</th>\n",
       "      <th>Model</th>\n",
       "      <th>Year</th>\n",
       "      <th>Engine Fuel Type</th>\n",
       "      <th>Engine HP</th>\n",
       "      <th>Engine Cylinders</th>\n",
       "      <th>Transmission Type</th>\n",
       "      <th>Driven_Wheels</th>\n",
       "      <th>Number of Doors</th>\n",
       "      <th>Market Category</th>\n",
       "      <th>Vehicle Size</th>\n",
       "      <th>Vehicle Style</th>\n",
       "      <th>highway MPG</th>\n",
       "      <th>city mpg</th>\n",
       "      <th>Popularity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-1.321914</td>\n",
       "      <td>-1.704637</td>\n",
       "      <td>0.081228</td>\n",
       "      <td>0.004014</td>\n",
       "      <td>0.958566</td>\n",
       "      <td>0.294163</td>\n",
       "      <td>1.675670</td>\n",
       "      <td>1.152896</td>\n",
       "      <td>-1.630122</td>\n",
       "      <td>0.342328</td>\n",
       "      <td>-1.105198</td>\n",
       "      <td>-0.072270</td>\n",
       "      <td>-0.032128</td>\n",
       "      <td>-0.008390</td>\n",
       "      <td>1.639238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-1.321914</td>\n",
       "      <td>-1.708349</td>\n",
       "      <td>0.081228</td>\n",
       "      <td>0.004014</td>\n",
       "      <td>0.584637</td>\n",
       "      <td>0.294163</td>\n",
       "      <td>1.675670</td>\n",
       "      <td>1.152896</td>\n",
       "      <td>-1.630122</td>\n",
       "      <td>1.399283</td>\n",
       "      <td>-1.105198</td>\n",
       "      <td>-0.479182</td>\n",
       "      <td>0.307361</td>\n",
       "      <td>-0.008390</td>\n",
       "      <td>1.639238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-1.321914</td>\n",
       "      <td>-1.708349</td>\n",
       "      <td>0.081228</td>\n",
       "      <td>0.004014</td>\n",
       "      <td>0.584637</td>\n",
       "      <td>0.294163</td>\n",
       "      <td>1.675670</td>\n",
       "      <td>1.152896</td>\n",
       "      <td>-1.630122</td>\n",
       "      <td>1.289943</td>\n",
       "      <td>-1.105198</td>\n",
       "      <td>-0.072270</td>\n",
       "      <td>0.307361</td>\n",
       "      <td>0.207513</td>\n",
       "      <td>1.639238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-1.321914</td>\n",
       "      <td>-1.708349</td>\n",
       "      <td>0.081228</td>\n",
       "      <td>0.004014</td>\n",
       "      <td>-0.163221</td>\n",
       "      <td>0.294163</td>\n",
       "      <td>1.675670</td>\n",
       "      <td>1.152896</td>\n",
       "      <td>-1.630122</td>\n",
       "      <td>1.399283</td>\n",
       "      <td>-1.105198</td>\n",
       "      <td>-0.072270</td>\n",
       "      <td>0.307361</td>\n",
       "      <td>-0.224294</td>\n",
       "      <td>1.639238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-1.321914</td>\n",
       "      <td>-1.708349</td>\n",
       "      <td>0.081228</td>\n",
       "      <td>0.004014</td>\n",
       "      <td>-0.163221</td>\n",
       "      <td>0.294163</td>\n",
       "      <td>1.675670</td>\n",
       "      <td>1.152896</td>\n",
       "      <td>-1.630122</td>\n",
       "      <td>1.253496</td>\n",
       "      <td>-1.105198</td>\n",
       "      <td>-0.479182</td>\n",
       "      <td>0.307361</td>\n",
       "      <td>-0.224294</td>\n",
       "      <td>1.639238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11909</th>\n",
       "      <td>-1.596919</td>\n",
       "      <td>1.635982</td>\n",
       "      <td>0.213164</td>\n",
       "      <td>0.004014</td>\n",
       "      <td>0.584637</td>\n",
       "      <td>0.294163</td>\n",
       "      <td>-0.487387</td>\n",
       "      <td>-1.659471</td>\n",
       "      <td>0.639646</td>\n",
       "      <td>-0.568840</td>\n",
       "      <td>1.180202</td>\n",
       "      <td>-1.293007</td>\n",
       "      <td>-0.541361</td>\n",
       "      <td>-0.656100</td>\n",
       "      <td>-0.941828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11910</th>\n",
       "      <td>-1.596919</td>\n",
       "      <td>1.635982</td>\n",
       "      <td>0.213164</td>\n",
       "      <td>0.004014</td>\n",
       "      <td>0.584637</td>\n",
       "      <td>0.294163</td>\n",
       "      <td>-0.487387</td>\n",
       "      <td>-1.659471</td>\n",
       "      <td>0.639646</td>\n",
       "      <td>-0.568840</td>\n",
       "      <td>1.180202</td>\n",
       "      <td>-1.293007</td>\n",
       "      <td>-0.541361</td>\n",
       "      <td>-0.656100</td>\n",
       "      <td>-0.941828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11911</th>\n",
       "      <td>-1.596919</td>\n",
       "      <td>1.635982</td>\n",
       "      <td>0.213164</td>\n",
       "      <td>0.004014</td>\n",
       "      <td>0.584637</td>\n",
       "      <td>0.294163</td>\n",
       "      <td>-0.487387</td>\n",
       "      <td>-1.659471</td>\n",
       "      <td>0.639646</td>\n",
       "      <td>-0.568840</td>\n",
       "      <td>1.180202</td>\n",
       "      <td>-1.293007</td>\n",
       "      <td>-0.541361</td>\n",
       "      <td>-0.656100</td>\n",
       "      <td>-0.941828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11912</th>\n",
       "      <td>-1.596919</td>\n",
       "      <td>1.635982</td>\n",
       "      <td>0.345101</td>\n",
       "      <td>-0.552132</td>\n",
       "      <td>0.584637</td>\n",
       "      <td>0.294163</td>\n",
       "      <td>-0.487387</td>\n",
       "      <td>-1.659471</td>\n",
       "      <td>0.639646</td>\n",
       "      <td>-0.568840</td>\n",
       "      <td>1.180202</td>\n",
       "      <td>-1.293007</td>\n",
       "      <td>-0.541361</td>\n",
       "      <td>-0.656100</td>\n",
       "      <td>-0.941828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11913</th>\n",
       "      <td>0.121864</td>\n",
       "      <td>1.639693</td>\n",
       "      <td>-0.578453</td>\n",
       "      <td>0.560161</td>\n",
       "      <td>-0.259374</td>\n",
       "      <td>0.294163</td>\n",
       "      <td>-0.487387</td>\n",
       "      <td>0.215440</td>\n",
       "      <td>0.639646</td>\n",
       "      <td>1.253496</td>\n",
       "      <td>1.180202</td>\n",
       "      <td>1.148467</td>\n",
       "      <td>-0.032128</td>\n",
       "      <td>-0.440197</td>\n",
       "      <td>-0.975899</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11914 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Make     Model      Year  Engine Fuel Type  Engine HP  \\\n",
       "0     -1.321914 -1.704637  0.081228          0.004014   0.958566   \n",
       "1     -1.321914 -1.708349  0.081228          0.004014   0.584637   \n",
       "2     -1.321914 -1.708349  0.081228          0.004014   0.584637   \n",
       "3     -1.321914 -1.708349  0.081228          0.004014  -0.163221   \n",
       "4     -1.321914 -1.708349  0.081228          0.004014  -0.163221   \n",
       "...         ...       ...       ...               ...        ...   \n",
       "11909 -1.596919  1.635982  0.213164          0.004014   0.584637   \n",
       "11910 -1.596919  1.635982  0.213164          0.004014   0.584637   \n",
       "11911 -1.596919  1.635982  0.213164          0.004014   0.584637   \n",
       "11912 -1.596919  1.635982  0.345101         -0.552132   0.584637   \n",
       "11913  0.121864  1.639693 -0.578453          0.560161  -0.259374   \n",
       "\n",
       "       Engine Cylinders  Transmission Type  Driven_Wheels  Number of Doors  \\\n",
       "0              0.294163           1.675670       1.152896        -1.630122   \n",
       "1              0.294163           1.675670       1.152896        -1.630122   \n",
       "2              0.294163           1.675670       1.152896        -1.630122   \n",
       "3              0.294163           1.675670       1.152896        -1.630122   \n",
       "4              0.294163           1.675670       1.152896        -1.630122   \n",
       "...                 ...                ...            ...              ...   \n",
       "11909          0.294163          -0.487387      -1.659471         0.639646   \n",
       "11910          0.294163          -0.487387      -1.659471         0.639646   \n",
       "11911          0.294163          -0.487387      -1.659471         0.639646   \n",
       "11912          0.294163          -0.487387      -1.659471         0.639646   \n",
       "11913          0.294163          -0.487387       0.215440         0.639646   \n",
       "\n",
       "       Market Category  Vehicle Size  Vehicle Style  highway MPG  city mpg  \\\n",
       "0             0.342328     -1.105198      -0.072270    -0.032128 -0.008390   \n",
       "1             1.399283     -1.105198      -0.479182     0.307361 -0.008390   \n",
       "2             1.289943     -1.105198      -0.072270     0.307361  0.207513   \n",
       "3             1.399283     -1.105198      -0.072270     0.307361 -0.224294   \n",
       "4             1.253496     -1.105198      -0.479182     0.307361 -0.224294   \n",
       "...                ...           ...            ...          ...       ...   \n",
       "11909        -0.568840      1.180202      -1.293007    -0.541361 -0.656100   \n",
       "11910        -0.568840      1.180202      -1.293007    -0.541361 -0.656100   \n",
       "11911        -0.568840      1.180202      -1.293007    -0.541361 -0.656100   \n",
       "11912        -0.568840      1.180202      -1.293007    -0.541361 -0.656100   \n",
       "11913         1.253496      1.180202       1.148467    -0.032128 -0.440197   \n",
       "\n",
       "       Popularity  \n",
       "0        1.639238  \n",
       "1        1.639238  \n",
       "2        1.639238  \n",
       "3        1.639238  \n",
       "4        1.639238  \n",
       "...           ...  \n",
       "11909   -0.941828  \n",
       "11910   -0.941828  \n",
       "11911   -0.941828  \n",
       "11912   -0.941828  \n",
       "11913   -0.975899  \n",
       "\n",
       "[11914 rows x 15 columns]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X1=scaled\n",
    "X1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train,x_test,y_train,y_test=train_test_split(X1,Y,test_size=0.3,random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr.fit(x_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5043385622743443"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr.score(x_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([41070.34762389])"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr.intercept_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-1243.82397428, -1279.09589864, -4343.23124084,  -436.3443902 ,\n",
       "        47729.96302409, -8812.33160988, -6658.32240352, -2057.56990865,\n",
       "        -8219.32879139, -6442.30712287, -5453.30784833,  1774.3747378 ,\n",
       "        -3947.73457576,  9746.33305225, -5535.06620537]])"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr.coef_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Make', 'Model', 'Year', 'Engine Fuel Type', 'Engine HP',\n",
       "       'Engine Cylinders', 'Transmission Type', 'Driven_Wheels',\n",
       "       'Number of Doors', 'Market Category', 'Vehicle Size', 'Vehicle Style',\n",
       "       'highway MPG', 'city mpg', 'Popularity'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X1.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### equation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Price=41070.34 -5535.06*'Popularity' +9746.33*'city mpg'-3947.73*'highway MPG'+1774.37*'Vehicle Style'\n",
    "# -5453.30*'Vehicle Size'-6442.30*'Market Category-8219.3*Number of Doors-2057.56*'Driven_Wheels\n",
    "#-6658.32*'Transmission Type-8812.33*'Engine Cylinders+47729.9*'Engine HP'-436.3*'Engine Fuel Type\n",
    "#-4343.23*'Year'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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