ai1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "79580933",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from pandas.plotting import scatter_matrix\n",
    "from seaborn import scatterplot\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.pipeline import Pipeline\n",
    "\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.linear_model import Ridge\n",
    "from sklearn.linear_model import Lasso\n",
    "from sklearn.neighbors import KNeighborsRegressor\n",
    "\n",
    "from sklearn.base import BaseEstimator, TransformerMixin\n",
    "\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.preprocessing import RobustScaler\n",
    "\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.model_selection import cross_validate\n",
    "\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.model_selection import ShuffleSplit\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6570a897",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('dataset_vehicles.csv')\n",
    "# Shuffle the dataset\n",
    "df = df.sample(frac=1, random_state=2)\n",
    "df.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ebe9eb62",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(18938, 19)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "558aaa3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Title             object\n",
       "Sub_title         object\n",
       "Price             object\n",
       "Brand             object\n",
       "Model             object\n",
       "Edition           object\n",
       "Year               int64\n",
       "Condition         object\n",
       "Transmission      object\n",
       "Body              object\n",
       "Fuel              object\n",
       "Capacity          object\n",
       "Mileage           object\n",
       "Location          object\n",
       "Description       object\n",
       "Post_URL          object\n",
       "Seller_name       object\n",
       "Seller_type       object\n",
       "published_date    object\n",
       "dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes #as we can see from this output, there is a lot of mixed datatypes in the columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4b1335f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Rs 5,600,000', 'Rs 9,800,000', 'Rs 2,175,000', ...,\n",
       "       'Rs 2,730,000', 'Rs 3,135,000', 'Rs 4,435,000'], dtype=object)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Price.unique() #checking to see if there is any other currencies involved before stripping out the Rs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ccb5b8c",
   "metadata": {},
   "source": [
    "### Time to clean this durty data\n",
    "\n",
    "- firstly lets change the price column to integer values\n",
    "\n",
    "\n",
    "Things to consider:\n",
    "- check for duplicates\n",
    "- there may be a need to fill in missing values  with mean etc.\n",
    "- check non numeric feature rows for illegal values\n",
    "- for supervised learning, target values need to be present and sensible\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "370690d0",
   "metadata": {},
   "source": [
    "#### lets see if there are any duplicates\n",
    "There may be cases in this dataset where there are multiple occurences of the same car ie. A car being advertised multiple times by a seller in order to get more publicity. To takle this problem, we must establish what is considered duplicate entry in this dataset.\n",
    "\n",
    "For this, lets consider the key attributes of the car for sale: Make, model, price, location, seller, mileage, body, capacity, description, condition, transmission, year, edition and fuel.\n",
    "\n",
    "If these attributes are the same across two or more entries, then it is safe to say that it is a duplicate entry."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b99ab117",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "532"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dup_feat = ['Title','Brand','Price','Mileage','Body','Seller_name','Location','Model','Capacity','Description','Condition','Transmission','Year','Edition','Fuel']\n",
    "dup = df[dup_feat]\n",
    "dup.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e989a234",
   "metadata": {},
   "outputs": [],
   "source": [
    "#from this we can see that there are 532 duplicated rows, lets remove these\n",
    "df = df.drop_duplicates(subset=dup_feat, keep='first')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75665c32",
   "metadata": {},
   "source": [
    "#### Now lets convert some columns to numeric\n",
    "in order to do this we must first strip out string characters such as ',' 'RS', 'km' etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7d655e1f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Price']=df['Price'].str.replace('Rs|,| ','')\n",
    "df['Mileage']=df['Mileage'].str.replace('km|,| ','')\n",
    "df['Capacity']=df['Capacity'].str.replace('cc|,| ','')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7dd94b06",
   "metadata": {},
   "source": [
    "Now lets convert them to numeric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "febf6fe7",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "df['Price'] = df['Price'].astype('int64')\n",
    "df['Mileage'] = df['Mileage'].astype('int64')\n",
    "df['Capacity'] = df['Capacity'].astype('int64')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9d5c2d6e",
   "metadata": {},
   "outputs": [],
   "source": [
    "#only keeping the features I deemed necessary for predicting price\n",
    "features = [\"Brand\",\"Model\",\"Year\",\"Condition\",\"Fuel\",\"Capacity\",\"Mileage\"]\n",
    "numeric_features = [\"Mileage\",\"Year\",\"Capacity\"]\n",
    "nominal_features = [\"Brand\",\"Model\",\"Condition\",\"Fuel\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fd8e61b",
   "metadata": {},
   "source": [
    "In the above feature lists I only retained features I deemed necessary for my predictions. In the case of nominal features I discarded ones such as 'Description' as this would lead to thousands of one hot encoded values since each description should be unique."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "353f6ac8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Brand ['Honda' 'Kia' 'Suzuki' 'Micro' 'Toyota' 'Nissan' 'Audi' 'Mitsubishi'\n",
      " 'Mercedes Benz' 'Peugeot' 'Zotye' 'Daihatsu' 'Hyundai' 'Perodua' 'BMW'\n",
      " 'Jaguar' 'Land Rover' 'Maruti Suzuki' 'Mazda' 'Lexus' 'Tata' 'MG' 'DFSK'\n",
      " 'Proton' 'Mini' 'Chery' 'Ford' 'Citroen' 'Isuzu' 'Volkswagen' 'Daewoo'\n",
      " 'Datsun' 'Volvo' 'Mahindra' 'Chrysler' 'Austin' 'Porsche' 'Other brand'\n",
      " 'Morris' 'Chevrolet' 'Maruti' 'Renault' 'Ssang Yong' 'Fiat' 'Subaru'\n",
      " 'Geely' 'Alfa Romeo' 'Hummer' 'Rover' 'Tesla' 'Moto Guzzi' 'Jeep'\n",
      " 'Aston Martin' 'Opel' 'Skoda' 'Smart' 'Vauxhall']\n",
      "Model ['Fit Shuttle' 'Sorento' 'Estilo' 'MX 7' 'Harrier' 'Maruti' 'March' 'Axio'\n",
      " 'Aqua' 'Wagon R Stingray' 'Hilux' 'Premio' 'Sunny' 'Soluna' 'A6' 'Vitz'\n",
      " 'Lancer' 'Alto' 'Prius' 'Hustler' 'E300' 'Land Cruiser Sahara' '407'\n",
      " 'C200' 'Corolla' 'Starlet' 'Extreme' 'Terios' 'Mira' 'Celerio' 'Stellar'\n",
      " 'Land Cruiser Prado' 'Avanza' 'A3' 'Baleno' 'E200' 'Grace' 'Leaf' 'Panda'\n",
      " 'Viva Elite' 'X1' 'XF' 'Swift' 'Vezel' 'Range Rover Sport' 'Boon' 'A1'\n",
      " '800' 'Other Model' 'NX' 'Fit' 'X-Trail' 'Bluebird' 'Butterfly' 'Dutsun'\n",
      " 'Charmant' 'Spacia' 'CLA 200' 'Civic' 'Montero' 'Corona' 'Wagon R'\n",
      " 'Xenon' 'ZS' 'Glory' 'Fit Aria' 'Allion' 'AD Wagon' 'Saga' 'Wigo' 'CRV'\n",
      " 'Familia' 'Rio' 'A4' 'CHR' 'Cooper' 'QQ' 'Carina' 'NX300H' 'Insight'\n",
      " 'Raptor Ranger' 'Outlander' 'Vios' 'Nano' '740Le' 'Accord' 'Passo'\n",
      " 'Sportage' 'Beetle' 'Zen' 'Wagon R FZ' 'Pajero' 'Fielder' 'E220' '4DR'\n",
      " 'Belta' 'Raize' 'Polo' 'Ranger' '523i' 'C180' 'Wagon R FX' 'Panda Cross'\n",
      " 'L200' 'i8' 'Eon' 'Dayz' 'Redi Go' 'C350' '850' 'Laser' 'Bolero' 'Patrol'\n",
      " 'Range Rover' 'Bighorn' 'X3' 'eK Space' '520d' 'Camry' 'Kyron' 'City'\n",
      " 'Roomy' 'A8' 'Rush' 'Charade' 'S320' 'X5' 'Range Rover Velar' 'Axia'\n",
      " 'Sylphy' 'Discovery Sport' '208' 'Matrix' '300' 'Tank' 'Rocky' '6'\n",
      " 'Cefiro' 'Mini Cooper' 'Eclipse Cross' 'J24' 'Discovery' 'Defender'\n",
      " 'Copen' 'Santa Fe' 'Cayenne' 'Elantra' 'SAI' 'Bora' 'A-Star' 'Trend'\n",
      " 'Accent' 'Esquire' 'Freed' 'Cultus' '3008' 'Caldina' 'Serena' 'Ceres'\n",
      " 'Wingroad' 'Countryman' 'Other model' 'S660' 'ActiveHybrid 7' 'Minor'\n",
      " 'Cast Activa' '5008' 'S60' 'Liana' 'Terracan' 'IST' 'Trajet' 'i20'\n",
      " 'Xpander' 'Indica' '318i' 'CLA 180' 'Pixis' 'Hijet' 'Freelander' 'ML270'\n",
      " 'Cruze' 'Rexton' 'E350' 'Picanto' 'Auris' 'Grand Vitara' 'Sumo' 'Cami'\n",
      " 'Savvy' 'C220' '406' 'Pulsar' 'Kelisa' 'Q2' 'KWID' 'CLS' 'Galant' 'Bezza'\n",
      " 'soul' 'Korando' 'Punto' 'Sonata' 'Esse' 'Alphard' 'Crown' 'E250'\n",
      " 'Tercel' '740e' 'Fortuner' 'ML350' 'N-Box' 'Stonic' 'Tiida' 'Forester'\n",
      " 'Wira' 'Wake' 'N-WGN' 'Axela' 'Navara' 'Demio' 'GLE 300D' 'Excel'\n",
      " 'Range Rover Evoque' 'Tanto' '2' 'Z4' 'CT-200H' 'Trooper' 'S-Cross'\n",
      " '525i' '320d' 'Shogun' 'Crossroad' 'A5' 'Tivoli' 'RX' 'Actyon' 'Yaris'\n",
      " 'Voxy' 'i3' 'Tucson' 'HS250H' 'STI' 'Dualis' '940' 'Carol' 'Corsa' 'GT86'\n",
      " '320i' 'Q7' 'H3' 'Sprinter' 'Grand i10' 'Q3' 'Jimny' 'Marino' 'Vitara'\n",
      " 'Mustang' 'Geely' 'Nexon' 'Airwave' 'XV' 'Atrai Wagon' 'Nomad' 'RAV4'\n",
      " 'eK Wagon' 'S300' 'Move' 'Esteem' 'Escudo' 'RX400' 'Waja' 'WagonR'\n",
      " 'Gemini' 'S350' 'ASX' 'Fulwin' 'C300' 'B250e' 'Model S' 'Mirage' 'Juke'\n",
      " 'Linea' 'A180' 'Golf' 'Astina' '405' 'Mini' 'Z100' 'Attrage' '3' 'Indigo'\n",
      " 'C250' 'Festiva' 'Tiggo' 'Kancil' 'Oxford' 'Mark' 'Jetta' 'Skyline'\n",
      " 'Fairlady Z' 'Libero' 'Colt' 'CX-5' '430i' 'Uno' 'ActiveHybrid 5' '2008'\n",
      " 'Jade' '740Li' 'X5 eDrive' 'Verossa' 'X250d' 'Lifan' 'Leganza' '530e'\n",
      " 'Etios' '305' '206' '218i' 'Duet' '520i' '508' 'S560' 'Aveo' 'Sephia'\n",
      " 'Cherokee' 'Safari' 'MU-X' 'Strada' 'Kenari' 'Celica' '740d' 'Qashqai'\n",
      " 'E240' 'Primera' 'Flair' 'Zest' 'Presea' 'GenX Nano' 'S80' 'F50' 'Santro'\n",
      " 'Passat' '330i' 'Beat' 'F-150' 'Platz' 'Jazz' 'Ertiga' 'Sienta' 'Terrano'\n",
      " 'Scorpio' 'RVR' 'Cambridge' 'HR-V' 'Venue' 'Impreza' 'Persona' 'Fiesta'\n",
      " 'MR-S' 'Emgrand' 'XE' 'Integra' 'Micra' '730d' 'CRZ' 'Ignis' 'Telcolin'\n",
      " 'Korondo' 'Rhino' 'Lanos' 'Focus' 'GLB' 'S400' 'Dzire' 'Spectra' 'Cuore'\n",
      " 'Cedia' '404' 'V27' '4Runner' 'XBee' 'VW1300' 'Astra' 'Superb' '607'\n",
      " 'S40' 'Panamera' 'Nubira' '308' '2 Skyactive' 'X5 M' 'BAIC' '735i'\n",
      " 'Vanguard' 'SX4' 'RX350' 'A200' 'X2' 'Chariot' 'Atos' 'Macan' 'BB'\n",
      " 'Grand Cherokee' 'BT-50' 'S-Type' 'K900' 'X-Type' 'EK Custom' 'Musso'\n",
      " '100' 'Aventura' 'Ciaz' 'Carens' 'FJ Cruiser' '7' '528i' 'Wrangler'\n",
      " 'Kuga' 'Omega' '370Z' 'Teana' 'Everest' 'F-Pace' 'Runx' 'QQ3' 'Spark'\n",
      " 'Tribute' 'Range Rover PHEV' '730Ld' 'Q5' 'M3' '116i' 'UP' 'Logo' '316i'\n",
      " 'MOCO' 'C160' 'XC90' 'Jonway' 'H2' '505' 'Legacy' 'Altis' 'Ecosport'\n",
      " '735Li' 'Tiguan' 'Note' 'Junior' 'X25' 'Quanto' 'Smart cab' 'SLC 180'\n",
      " 'Cerato' 'S500' 'e-NV200' '718 Cayman' '330e' '530i' 'Spike' '104' 'A150'\n",
      " 'Sedona' 'Thor' 'GLE 400' 'Espero' 'Mentor' 'D-Max' 'Mondeo' 'Towny' 'R2'\n",
      " 'Concerto' 'Carnival' 'e2o' 'Cynos' 'Avalon' '530d' 'Delica' 'Clarus'\n",
      " 'GLA 200' 'GLA 180' 'Forfour' 'Gloria' 'Frontera' '190D' 'i-MiEV' 'E180'\n",
      " 'E46' \"Fit She's\" 'Odyssey' '225XE' 'ML320' 'Leeza' '5' 'Fabia' 'F-Type'\n",
      " 'Privilage' 'Viva' 'Optima' 'Voleex' 'Panther' 'Avensis' 'M6' 'Fortwo'\n",
      " 'Solio' 'MX-5' 'Cross' 'FTO' '730iL' 'Vellfire' 'Compass' '718 Boxter'\n",
      " 'E-Pace' 'WRX']\n",
      "Condition ['Used' 'New' 'Reconditioned']\n",
      "Fuel ['Hybrid' 'Diesel' 'Petrol' 'Electric' 'Other fuel type' 'CNG']\n"
     ]
    }
   ],
   "source": [
    "for f in nominal_features:\n",
    "    print(f,df[f].unique()) #inspect nominal features to see if there are any anomalies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "75b4c53a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Title             object\n",
       "Sub_title         object\n",
       "Price              int64\n",
       "Brand             object\n",
       "Model             object\n",
       "Edition           object\n",
       "Year               int64\n",
       "Condition         object\n",
       "Transmission      object\n",
       "Body              object\n",
       "Fuel              object\n",
       "Capacity           int64\n",
       "Mileage            int64\n",
       "Location          object\n",
       "Description       object\n",
       "Post_URL          object\n",
       "Seller_name       object\n",
       "Seller_type       object\n",
       "published_date    object\n",
       "dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "032b3559",
   "metadata": {},
   "source": [
    "from this exploration of some of the nominal data features, I can see that there are some incorrect values, for example there are some very small engine capacities ('1cc','4cc' and '3cc') and some very large engine capacities('10000cc'). Having checked against some online sources, these values appear to be mistakes as the smallest engine size of a production car is 624cc with the largest being 5980cc.\n",
    "\n",
    "Values outside this range will need to be changed to a mean value of engine capacity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "83eece98",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Only include examples where engine capicity is in the correct range\n",
    "df = (df[(df[\"Capacity\"] >= 624) & (df[\"Capacity\"] < 5980)]).copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "babf39b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mileage False\n",
      "Year False\n",
      "Capacity False\n"
     ]
    }
   ],
   "source": [
    "# Check for NaNs in the case of numeric features\n",
    "for feature in numeric_features:\n",
    "    print(feature, df[feature].isnull().values.any())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "83a84b79",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "plot = scatterplot(x=\"Year\",y=\"Price\",data=df) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d73105a4",
   "metadata": {},
   "source": [
    "Viewing this graph it is clear that there are some outliers. From some research online I found that the most expensive car sold in sri lanka (a Rolls Royce Wraith) went for 15,80,00,000 RS\n",
    "Thus, with this knowledge I will remove any cars with prices above this value. I also found no examples of cars which dipped below 50,000 RS but to be safe (in the case of absolute bangers) I will set a lower boundary of 10,000 RS. Anything outside of this range will be excluded"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "cd385284",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Only include examples whose price falls in the established range\n",
    "df = (df[(df[\"Price\"] < 158000000) & (df[\"Price\"] > 10000)]).copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6fd0c283",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "plot = scatterplot(x=\"Year\",y=\"Price\",data=df) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e85bc62e",
   "metadata": {},
   "source": [
    "There still appears to be some outliers regarding year (<1940) , lets inspect these two example to see if they truely are old cars"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d0fd3dec",
   "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>Title</th>\n",
       "      <th>Sub_title</th>\n",
       "      <th>Price</th>\n",
       "      <th>Brand</th>\n",
       "      <th>Model</th>\n",
       "      <th>Edition</th>\n",
       "      <th>Year</th>\n",
       "      <th>Condition</th>\n",
       "      <th>Transmission</th>\n",
       "      <th>Body</th>\n",
       "      <th>Fuel</th>\n",
       "      <th>Capacity</th>\n",
       "      <th>Mileage</th>\n",
       "      <th>Location</th>\n",
       "      <th>Description</th>\n",
       "      <th>Post_URL</th>\n",
       "      <th>Seller_name</th>\n",
       "      <th>Seller_type</th>\n",
       "      <th>published_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14164</th>\n",
       "      <td>Austin X Series 1935 for sale</td>\n",
       "      <td>Posted on 08 Apr 11:22 am, Moratuwa, Colombo</td>\n",
       "      <td>3500000</td>\n",
       "      <td>Austin</td>\n",
       "      <td>Other Model</td>\n",
       "      <td>X Series</td>\n",
       "      <td>1935</td>\n",
       "      <td>Used</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Hatchback</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>700</td>\n",
       "      <td>150000</td>\n",
       "      <td>Moratuwa,  Colombo</td>\n",
       "      <td>Austin X series, Manufactured in the year 1935...</td>\n",
       "      <td>https://ikman.lk/en/ad/austin-x-series-1935-fo...</td>\n",
       "      <td>Sell Fast | Tryst Studio &amp; Communication</td>\n",
       "      <td>Premium-Member</td>\n",
       "      <td>2021-04-08 11:22:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18553</th>\n",
       "      <td>Austin X Series 1935 for sale</td>\n",
       "      <td>Posted on 08 Apr 10:32 am, Moratuwa, Colombo</td>\n",
       "      <td>3500000</td>\n",
       "      <td>Austin</td>\n",
       "      <td>Other Model</td>\n",
       "      <td>X Series</td>\n",
       "      <td>1935</td>\n",
       "      <td>Used</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Hatchback</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>700</td>\n",
       "      <td>150000</td>\n",
       "      <td>Moratuwa,  Colombo</td>\n",
       "      <td>Austin X series manufactured in 1935 , in mint...</td>\n",
       "      <td>https://ikman.lk/en/ad/austin-x-series-1935-fo...</td>\n",
       "      <td>Sell Fast | Tryst Studio &amp; Communication</td>\n",
       "      <td>Premium-Member</td>\n",
       "      <td>2021-04-08 10:32:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6179</th>\n",
       "      <td>Austin 7 1936 for sale</td>\n",
       "      <td>Posted on 24 Mar 12:32 pm, Malabe, Colombo</td>\n",
       "      <td>1600000</td>\n",
       "      <td>Austin</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1936</td>\n",
       "      <td>Used</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Hatchback</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>1000</td>\n",
       "      <td>100000</td>\n",
       "      <td>Malabe,  Colombo</td>\n",
       "      <td>Austin - 1936 / Registerd in 1936 / Petrol / O...</td>\n",
       "      <td>https://ikman.lk/en/ad/austin-7-1936-for-sale-...</td>\n",
       "      <td>Avon Lanka Holdings</td>\n",
       "      <td>Premium-Member</td>\n",
       "      <td>2021-03-24 12:32:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Title  \\\n",
       "14164  Austin X Series 1935 for sale   \n",
       "18553  Austin X Series 1935 for sale   \n",
       "6179          Austin 7 1936 for sale   \n",
       "\n",
       "                                          Sub_title    Price   Brand  \\\n",
       "14164  Posted on 08 Apr 11:22 am, Moratuwa, Colombo  3500000  Austin   \n",
       "18553  Posted on 08 Apr 10:32 am, Moratuwa, Colombo  3500000  Austin   \n",
       "6179     Posted on 24 Mar 12:32 pm, Malabe, Colombo  1600000  Austin   \n",
       "\n",
       "             Model   Edition  Year Condition Transmission       Body    Fuel  \\\n",
       "14164  Other Model  X Series  1935      Used       Manual  Hatchback  Petrol   \n",
       "18553  Other Model  X Series  1935      Used       Manual  Hatchback  Petrol   \n",
       "6179             7       NaN  1936      Used       Manual  Hatchback  Petrol   \n",
       "\n",
       "       Capacity  Mileage             Location  \\\n",
       "14164       700   150000   Moratuwa,  Colombo   \n",
       "18553       700   150000   Moratuwa,  Colombo   \n",
       "6179       1000   100000     Malabe,  Colombo   \n",
       "\n",
       "                                             Description  \\\n",
       "14164  Austin X series, Manufactured in the year 1935...   \n",
       "18553  Austin X series manufactured in 1935 , in mint...   \n",
       "6179   Austin - 1936 / Registerd in 1936 / Petrol / O...   \n",
       "\n",
       "                                                Post_URL  \\\n",
       "14164  https://ikman.lk/en/ad/austin-x-series-1935-fo...   \n",
       "18553  https://ikman.lk/en/ad/austin-x-series-1935-fo...   \n",
       "6179   https://ikman.lk/en/ad/austin-7-1936-for-sale-...   \n",
       "\n",
       "                                    Seller_name     Seller_type  \\\n",
       "14164  Sell Fast | Tryst Studio & Communication  Premium-Member   \n",
       "18553  Sell Fast | Tryst Studio & Communication  Premium-Member   \n",
       "6179                        Avon Lanka Holdings  Premium-Member   \n",
       "\n",
       "            published_date  \n",
       "14164  2021-04-08 11:22:00  \n",
       "18553  2021-04-08 10:32:00  \n",
       "6179   2021-03-24 12:32:00  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nsmallest(3, ['Year']) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1f80ab6",
   "metadata": {},
   "source": [
    "These seem to be genuine old cars so we will leave them in, The bottom two appear to be duplicates but since the descriptions are slightly different, we cannot rule them out as being seperate cars"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ae00a881",
   "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>Title</th>\n",
       "      <th>Sub_title</th>\n",
       "      <th>Price</th>\n",
       "      <th>Brand</th>\n",
       "      <th>Model</th>\n",
       "      <th>Edition</th>\n",
       "      <th>Year</th>\n",
       "      <th>Condition</th>\n",
       "      <th>Transmission</th>\n",
       "      <th>Body</th>\n",
       "      <th>Fuel</th>\n",
       "      <th>Capacity</th>\n",
       "      <th>Mileage</th>\n",
       "      <th>Location</th>\n",
       "      <th>Description</th>\n",
       "      <th>Post_URL</th>\n",
       "      <th>Seller_name</th>\n",
       "      <th>Seller_type</th>\n",
       "      <th>published_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>DFSK Glory 580 2021 for sale</td>\n",
       "      <td>Posted on 22 Jun 3:23 am, Colombo 3, Colombo</td>\n",
       "      <td>6895000</td>\n",
       "      <td>DFSK</td>\n",
       "      <td>Glory</td>\n",
       "      <td>580</td>\n",
       "      <td>2021</td>\n",
       "      <td>New</td>\n",
       "      <td>Tiptronic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>1500</td>\n",
       "      <td>0</td>\n",
       "      <td>Colombo 3,  Colombo</td>\n",
       "      <td>07 SeaterSunroof10 inch Touch Screen Audio Sys...</td>\n",
       "      <td>https://ikman.lk/en/ad/dfsk-glory-580-2021-for...</td>\n",
       "      <td>LB Finance Plc</td>\n",
       "      <td>Premium-Member</td>\n",
       "      <td>2021-06-22 03:23:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1130</th>\n",
       "      <td>DFSK Glory I Auto 2021 for sale</td>\n",
       "      <td>Posted on 05 Jun 2:35 pm, Colombo 3, Colombo</td>\n",
       "      <td>8495000</td>\n",
       "      <td>DFSK</td>\n",
       "      <td>Glory</td>\n",
       "      <td>I Auto</td>\n",
       "      <td>2021</td>\n",
       "      <td>New</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>1498</td>\n",
       "      <td>0</td>\n",
       "      <td>Colombo 3,  Colombo</td>\n",
       "      <td>* Engine, body, interior in excellent conditio...</td>\n",
       "      <td>https://ikman.lk/en/ad/dfsk-glory-i-auto-2021-...</td>\n",
       "      <td>LB Finance Plc</td>\n",
       "      <td>Premium-Member</td>\n",
       "      <td>2021-06-05 14:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1710</th>\n",
       "      <td>DFSK Glory 580 2021 for sale</td>\n",
       "      <td>Posted on 01 Apr 10:39 am, Kohuwala, Colombo</td>\n",
       "      <td>6650000</td>\n",
       "      <td>DFSK</td>\n",
       "      <td>Glory</td>\n",
       "      <td>580</td>\n",
       "      <td>2021</td>\n",
       "      <td>Used</td>\n",
       "      <td>Tiptronic</td>\n",
       "      <td>SUV / 4x4</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>1500</td>\n",
       "      <td>920</td>\n",
       "      <td>Kohuwala,  Colombo</td>\n",
       "      <td>Fully Loaded Luxry EditionFull Size 7 SeaterBl...</td>\n",
       "      <td>https://ikman.lk/en/ad/dfsk-glory-580-2021-for...</td>\n",
       "      <td>Sagara</td>\n",
       "      <td>Premium-Member</td>\n",
       "      <td>2021-04-01 10:39:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                Title  \\\n",
       "466      DFSK Glory 580 2021 for sale   \n",
       "1130  DFSK Glory I Auto 2021 for sale   \n",
       "1710     DFSK Glory 580 2021 for sale   \n",
       "\n",
       "                                         Sub_title    Price Brand  Model  \\\n",
       "466   Posted on 22 Jun 3:23 am, Colombo 3, Colombo  6895000  DFSK  Glory   \n",
       "1130  Posted on 05 Jun 2:35 pm, Colombo 3, Colombo  8495000  DFSK  Glory   \n",
       "1710  Posted on 01 Apr 10:39 am, Kohuwala, Colombo  6650000  DFSK  Glory   \n",
       "\n",
       "     Edition  Year Condition Transmission       Body    Fuel  Capacity  \\\n",
       "466      580  2021       New    Tiptronic        NaN  Petrol      1500   \n",
       "1130  I Auto  2021       New    Automatic        NaN  Petrol      1498   \n",
       "1710     580  2021      Used    Tiptronic  SUV / 4x4  Petrol      1500   \n",
       "\n",
       "      Mileage              Location  \\\n",
       "466         0   Colombo 3,  Colombo   \n",
       "1130        0   Colombo 3,  Colombo   \n",
       "1710      920    Kohuwala,  Colombo   \n",
       "\n",
       "                                            Description  \\\n",
       "466   07 SeaterSunroof10 inch Touch Screen Audio Sys...   \n",
       "1130  * Engine, body, interior in excellent conditio...   \n",
       "1710  Fully Loaded Luxry EditionFull Size 7 SeaterBl...   \n",
       "\n",
       "                                               Post_URL     Seller_name  \\\n",
       "466   https://ikman.lk/en/ad/dfsk-glory-580-2021-for...  LB Finance Plc   \n",
       "1130  https://ikman.lk/en/ad/dfsk-glory-i-auto-2021-...  LB Finance Plc   \n",
       "1710  https://ikman.lk/en/ad/dfsk-glory-580-2021-for...          Sagara   \n",
       "\n",
       "         Seller_type       published_date  \n",
       "466   Premium-Member  2021-06-22 03:23:00  \n",
       "1130  Premium-Member  2021-06-05 14:35:00  \n",
       "1710  Premium-Member  2021-04-01 10:39:00  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nlargest(3,['Year'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "112d080c",
   "metadata": {},
   "source": [
    "seems all good, no new cars with extremely high mileage "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47d3b950",
   "metadata": {},
   "source": [
    "#### Lets inspect all the columns to see if we can pick up anymore outliers/errors in the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "67c9edee",
   "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>Title</th>\n",
       "      <th>Sub_title</th>\n",
       "      <th>Price</th>\n",
       "      <th>Brand</th>\n",
       "      <th>Model</th>\n",
       "      <th>Edition</th>\n",
       "      <th>Year</th>\n",
       "      <th>Condition</th>\n",
       "      <th>Transmission</th>\n",
       "      <th>Body</th>\n",
       "      <th>Fuel</th>\n",
       "      <th>Capacity</th>\n",
       "      <th>Mileage</th>\n",
       "      <th>Location</th>\n",
       "      <th>Description</th>\n",
       "      <th>Post_URL</th>\n",
       "      <th>Seller_name</th>\n",
       "      <th>Seller_type</th>\n",
       "      <th>published_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>18171</td>\n",
       "      <td>18171</td>\n",
       "      <td>1.817100e+04</td>\n",
       "      <td>18171</td>\n",
       "      <td>18171</td>\n",
       "      <td>13378</td>\n",
       "      <td>18171.00000</td>\n",
       "      <td>18171</td>\n",
       "      <td>18171</td>\n",
       "      <td>16349</td>\n",
       "      <td>18171</td>\n",
       "      <td>18171.000000</td>\n",
       "      <td>18171.000000</td>\n",
       "      <td>18171</td>\n",
       "      <td>18171</td>\n",
       "      <td>18171</td>\n",
       "      <td>18171</td>\n",
       "      <td>18171</td>\n",
       "      <td>18171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>10214</td>\n",
       "      <td>16638</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57</td>\n",
       "      <td>512</td>\n",
       "      <td>6261</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>198</td>\n",
       "      <td>16848</td>\n",
       "      <td>17645</td>\n",
       "      <td>6010</td>\n",
       "      <td>1</td>\n",
       "      <td>14755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>Suzuki Alto 2015 for sale</td>\n",
       "      <td>Posted on 09 Mar 2:29 pm, Colombo 3, Colombo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Toyota</td>\n",
       "      <td>Alto</td>\n",
       "      <td>G Grade</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Used</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>Hatchback</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kohuwala,  Colombo</td>\n",
       "      <td>* Leasing can be arranged with your requiremen...</td>\n",
       "      <td>https://ikman.lk/en/ad/land-rover-defender-201...</td>\n",
       "      <td>LB Finance PLC</td>\n",
       "      <td>Premium-Member</td>\n",
       "      <td>2021-03-03 11:21:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>179</td>\n",
       "      <td>62</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5624</td>\n",
       "      <td>927</td>\n",
       "      <td>167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17255</td>\n",
       "      <td>11042</td>\n",
       "      <td>6375</td>\n",
       "      <td>13299</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1316</td>\n",
       "      <td>148</td>\n",
       "      <td>3</td>\n",
       "      <td>508</td>\n",
       "      <td>18171</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.477052e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2007.82362</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1518.705630</td>\n",
       "      <td>95957.813769</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.401289e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.54788</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>708.819493</td>\n",
       "      <td>76377.893231</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.600000e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1935.00000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>624.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.285000e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2003.00000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>45056.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.070000e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012.00000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1499.000000</td>\n",
       "      <td>82500.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.972500e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016.00000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1800.000000</td>\n",
       "      <td>130000.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.265000e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021.00000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5552.000000</td>\n",
       "      <td>1000000.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Title  \\\n",
       "count                       18171   \n",
       "unique                      10214   \n",
       "top     Suzuki Alto 2015 for sale   \n",
       "freq                          179   \n",
       "mean                          NaN   \n",
       "std                           NaN   \n",
       "min                           NaN   \n",
       "25%                           NaN   \n",
       "50%                           NaN   \n",
       "75%                           NaN   \n",
       "max                           NaN   \n",
       "\n",
       "                                           Sub_title         Price   Brand  \\\n",
       "count                                          18171  1.817100e+04   18171   \n",
       "unique                                         16638           NaN      57   \n",
       "top     Posted on 09 Mar 2:29 pm, Colombo 3, Colombo           NaN  Toyota   \n",
       "freq                                              62           NaN    5624   \n",
       "mean                                             NaN  6.477052e+06     NaN   \n",
       "std                                              NaN  8.401289e+06     NaN   \n",
       "min                                              NaN  2.600000e+04     NaN   \n",
       "25%                                              NaN  2.285000e+06     NaN   \n",
       "50%                                              NaN  4.070000e+06     NaN   \n",
       "75%                                              NaN  6.972500e+06     NaN   \n",
       "max                                              NaN  1.265000e+08     NaN   \n",
       "\n",
       "        Model  Edition         Year Condition Transmission       Body    Fuel  \\\n",
       "count   18171    13378  18171.00000     18171        18171      16349   18171   \n",
       "unique    512     6261          NaN         3            4          7       6   \n",
       "top      Alto  G Grade          NaN      Used    Automatic  Hatchback  Petrol   \n",
       "freq      927      167          NaN     17255        11042       6375   13299   \n",
       "mean      NaN      NaN   2007.82362       NaN          NaN        NaN     NaN   \n",
       "std       NaN      NaN     11.54788       NaN          NaN        NaN     NaN   \n",
       "min       NaN      NaN   1935.00000       NaN          NaN        NaN     NaN   \n",
       "25%       NaN      NaN   2003.00000       NaN          NaN        NaN     NaN   \n",
       "50%       NaN      NaN   2012.00000       NaN          NaN        NaN     NaN   \n",
       "75%       NaN      NaN   2016.00000       NaN          NaN        NaN     NaN   \n",
       "max       NaN      NaN   2021.00000       NaN          NaN        NaN     NaN   \n",
       "\n",
       "            Capacity         Mileage             Location  \\\n",
       "count   18171.000000    18171.000000                18171   \n",
       "unique           NaN             NaN                  198   \n",
       "top              NaN             NaN   Kohuwala,  Colombo   \n",
       "freq             NaN             NaN                 1316   \n",
       "mean     1518.705630    95957.813769                  NaN   \n",
       "std       708.819493    76377.893231                  NaN   \n",
       "min       624.000000        0.000000                  NaN   \n",
       "25%      1000.000000    45056.000000                  NaN   \n",
       "50%      1499.000000    82500.000000                  NaN   \n",
       "75%      1800.000000   130000.000000                  NaN   \n",
       "max      5552.000000  1000000.000000                  NaN   \n",
       "\n",
       "                                              Description  \\\n",
       "count                                               18171   \n",
       "unique                                              16848   \n",
       "top     * Leasing can be arranged with your requiremen...   \n",
       "freq                                                  148   \n",
       "mean                                                  NaN   \n",
       "std                                                   NaN   \n",
       "min                                                   NaN   \n",
       "25%                                                   NaN   \n",
       "50%                                                   NaN   \n",
       "75%                                                   NaN   \n",
       "max                                                   NaN   \n",
       "\n",
       "                                                 Post_URL     Seller_name  \\\n",
       "count                                               18171           18171   \n",
       "unique                                              17645            6010   \n",
       "top     https://ikman.lk/en/ad/land-rover-defender-201...  LB Finance PLC   \n",
       "freq                                                    3             508   \n",
       "mean                                                  NaN             NaN   \n",
       "std                                                   NaN             NaN   \n",
       "min                                                   NaN             NaN   \n",
       "25%                                                   NaN             NaN   \n",
       "50%                                                   NaN             NaN   \n",
       "75%                                                   NaN             NaN   \n",
       "max                                                   NaN             NaN   \n",
       "\n",
       "           Seller_type       published_date  \n",
       "count            18171                18171  \n",
       "unique               1                14755  \n",
       "top     Premium-Member  2021-03-03 11:21:00  \n",
       "freq             18171                   66  \n",
       "mean               NaN                  NaN  \n",
       "std                NaN                  NaN  \n",
       "min                NaN                  NaN  \n",
       "25%                NaN                  NaN  \n",
       "50%                NaN                  NaN  \n",
       "75%                NaN                  NaN  \n",
       "max                NaN                  NaN  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe(include='all')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54f8cada",
   "metadata": {},
   "source": [
    "The highest mileage comes in at 1000000 kms , lets inspect this further"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "61081b10",
   "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>Title</th>\n",
       "      <th>Sub_title</th>\n",
       "      <th>Price</th>\n",
       "      <th>Brand</th>\n",
       "      <th>Model</th>\n",
       "      <th>Edition</th>\n",
       "      <th>Year</th>\n",
       "      <th>Condition</th>\n",
       "      <th>Transmission</th>\n",
       "      <th>Body</th>\n",
       "      <th>Fuel</th>\n",
       "      <th>Capacity</th>\n",
       "      <th>Mileage</th>\n",
       "      <th>Location</th>\n",
       "      <th>Description</th>\n",
       "      <th>Post_URL</th>\n",
       "      <th>Seller_name</th>\n",
       "      <th>Seller_type</th>\n",
       "      <th>published_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1092</th>\n",
       "      <td>Mitsubishi Lancer Ac 1977 for sale</td>\n",
       "      <td>Posted on 06 Jun 8:07 am, Piliyandala, Colombo</td>\n",
       "      <td>390000</td>\n",
       "      <td>Mitsubishi</td>\n",
       "      <td>Lancer</td>\n",
       "      <td>Ac</td>\n",
       "      <td>1977</td>\n",
       "      <td>Used</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Station wagon</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>1400</td>\n",
       "      <td>1000000</td>\n",
       "      <td>Piliyandala,  Colombo</td>\n",
       "      <td>Original bookClear documents 4th owner Origina...</td>\n",
       "      <td>https://ikman.lk/en/ad/mitsubishi-lancer-ac-19...</td>\n",
       "      <td>desilva</td>\n",
       "      <td>Premium-Member</td>\n",
       "      <td>2021-06-06 08:07:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3386</th>\n",
       "      <td>Honda Vezel 2014 for sale</td>\n",
       "      <td>Posted on 09 Mar 7:58 am, Homagama, Colombo</td>\n",
       "      <td>5500000</td>\n",
       "      <td>Honda</td>\n",
       "      <td>Vezel</td>\n",
       "      <td>2014</td>\n",
       "      <td>2014</td>\n",
       "      <td>Used</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>Hatchback</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>1490</td>\n",
       "      <td>1000000</td>\n",
       "      <td>Homagama,  Colombo</td>\n",
       "      <td>CAA - 5XXXZ-ORANG PAKEGE2014</td>\n",
       "      <td>https://ikman.lk/en/ad/honda-vezel-2014-for-sa...</td>\n",
       "      <td>Sell Fast | Aradanas à¶¯à·à¶±à·à·à·à¶¸à· ...</td>\n",
       "      <td>Premium-Member</td>\n",
       "      <td>2021-03-09 07:58:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3648</th>\n",
       "      <td>Toyota Corolla 1987 for sale</td>\n",
       "      <td>Posted on 15 Jul 10:53 pm, Ampara, Ampara</td>\n",
       "      <td>670000</td>\n",
       "      <td>Toyota</td>\n",
       "      <td>Corolla</td>\n",
       "      <td>1987</td>\n",
       "      <td>1987</td>\n",
       "      <td>Used</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Saloon</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>1530</td>\n",
       "      <td>1000000</td>\n",
       "      <td>Ampara,  Ampara</td>\n",
       "      <td>Urgent location sammanthurai</td>\n",
       "      <td>https://ikman.lk/en/ad/toyota-corolla-1987-for...</td>\n",
       "      <td>Iyya Iyya</td>\n",
       "      <td>Premium-Member</td>\n",
       "      <td>2021-07-15 22:53:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6197</th>\n",
       "      <td>Nissan Dutsun B210 1977 for sale</td>\n",
       "      <td>Posted on 16 Feb 3:37 pm, Gampola, Kandy</td>\n",
       "      <td>265000</td>\n",
       "      <td>Nissan</td>\n",
       "      <td>Dutsun</td>\n",
       "      <td>B210</td>\n",
       "      <td>1977</td>\n",
       "      <td>Used</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Saloon</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>1200</td>\n",
       "      <td>1000000</td>\n",
       "      <td>Gampola,  Kandy</td>\n",
       "      <td>ð° ð´Â  Brand- Nissanð° ð´ Model- B210...</td>\n",
       "      <td>https://ikman.lk/en/ad/nissan-dutsun-b210-1977...</td>\n",
       "      <td>Aresh Gunawardane II</td>\n",
       "      <td>Premium-Member</td>\n",
       "      <td>2021-02-16 15:37:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11191</th>\n",
       "      <td>Nissan Sunny 1978 for sale</td>\n",
       "      <td>Posted on 30 Jun 5:21 pm, Mawanella, Kegalle</td>\n",
       "      <td>485000</td>\n",
       "      <td>Nissan</td>\n",
       "      <td>Sunny</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1978</td>\n",
       "      <td>Used</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Saloon</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>1200</td>\n",
       "      <td>1000000</td>\n",
       "      <td>Mawanella,  Kegalle</td>\n",
       "      <td>BODY CONDITION 99%NEW TIRE SET RUNNING ð¯ENG...</td>\n",
       "      <td>https://ikman.lk/en/ad/nissan-sunny-1978-for-s...</td>\n",
       "      <td>Mohammed Nafeel</td>\n",
       "      <td>Premium-Member</td>\n",
       "      <td>2021-06-30 17:21:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12342</th>\n",
       "      <td>Toyota Vitz DBA-k8P90 2007 for sale</td>\n",
       "      <td>Posted on 14 Feb 12:06 pm, Gampaha, Gampaha</td>\n",
       "      <td>3390000</td>\n",
       "      <td>Toyota</td>\n",
       "      <td>Vitz</td>\n",
       "      <td>DBA-k8P90 Vitz</td>\n",
       "      <td>2007</td>\n",
       "      <td>Used</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>Hatchback</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>990</td>\n",
       "      <td>1000000</td>\n",
       "      <td>Gampaha,  Gampaha</td>\n",
       "      <td>Full option 4 air bags ORiginal Conditions</td>\n",
       "      <td>https://ikman.lk/en/ad/toyota-vitz-dba-k8p90-2...</td>\n",
       "      <td>Shamali Hapuarachchi</td>\n",
       "      <td>Premium-Member</td>\n",
       "      <td>2021-02-14 12:06:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15822</th>\n",
       "      <td>Nissan Sunny Ad Wagon 1985 for sale</td>\n",
       "      <td>Posted on 03 Jun 7:24 am, Kuliyapitiya, Kurune...</td>\n",
       "      <td>575000</td>\n",
       "      <td>Nissan</td>\n",
       "      <td>Sunny</td>\n",
       "      <td>Ad Wagon</td>\n",
       "      <td>1985</td>\n",
       "      <td>Used</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Station wagon</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>1300</td>\n",
       "      <td>1000000</td>\n",
       "      <td>Kuliyapitiya,  Kurunegala</td>\n",
       "      <td>runnig 100% tyer good body condision good</td>\n",
       "      <td>https://ikman.lk/en/ad/nissan-ad-wagon-1985-fo...</td>\n",
       "      <td>Anusha</td>\n",
       "      <td>Premium-Member</td>\n",
       "      <td>2021-06-03 07:24:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     Title  \\\n",
       "1092    Mitsubishi Lancer Ac 1977 for sale   \n",
       "3386             Honda Vezel 2014 for sale   \n",
       "3648          Toyota Corolla 1987 for sale   \n",
       "6197      Nissan Dutsun B210 1977 for sale   \n",
       "11191           Nissan Sunny 1978 for sale   \n",
       "12342  Toyota Vitz DBA-k8P90 2007 for sale   \n",
       "15822  Nissan Sunny Ad Wagon 1985 for sale   \n",
       "\n",
       "                                               Sub_title    Price       Brand  \\\n",
       "1092      Posted on 06 Jun 8:07 am, Piliyandala, Colombo   390000  Mitsubishi   \n",
       "3386         Posted on 09 Mar 7:58 am, Homagama, Colombo  5500000       Honda   \n",
       "3648           Posted on 15 Jul 10:53 pm, Ampara, Ampara   670000      Toyota   \n",
       "6197            Posted on 16 Feb 3:37 pm, Gampola, Kandy   265000      Nissan   \n",
       "11191       Posted on 30 Jun 5:21 pm, Mawanella, Kegalle   485000      Nissan   \n",
       "12342        Posted on 14 Feb 12:06 pm, Gampaha, Gampaha  3390000      Toyota   \n",
       "15822  Posted on 03 Jun 7:24 am, Kuliyapitiya, Kurune...   575000      Nissan   \n",
       "\n",
       "         Model         Edition  Year Condition Transmission           Body  \\\n",
       "1092    Lancer              Ac  1977      Used       Manual  Station wagon   \n",
       "3386     Vezel            2014  2014      Used    Automatic      Hatchback   \n",
       "3648   Corolla            1987  1987      Used       Manual         Saloon   \n",
       "6197    Dutsun            B210  1977      Used       Manual         Saloon   \n",
       "11191    Sunny             NaN  1978      Used       Manual         Saloon   \n",
       "12342     Vitz  DBA-k8P90 Vitz  2007      Used    Automatic      Hatchback   \n",
       "15822    Sunny        Ad Wagon  1985      Used       Manual  Station wagon   \n",
       "\n",
       "         Fuel  Capacity  Mileage                    Location  \\\n",
       "1092   Petrol      1400  1000000       Piliyandala,  Colombo   \n",
       "3386   Petrol      1490  1000000          Homagama,  Colombo   \n",
       "3648   Petrol      1530  1000000             Ampara,  Ampara   \n",
       "6197   Petrol      1200  1000000             Gampola,  Kandy   \n",
       "11191  Petrol      1200  1000000         Mawanella,  Kegalle   \n",
       "12342  Petrol       990  1000000           Gampaha,  Gampaha   \n",
       "15822  Petrol      1300  1000000   Kuliyapitiya,  Kurunegala   \n",
       "\n",
       "                                             Description  \\\n",
       "1092   Original bookClear documents 4th owner Origina...   \n",
       "3386                        CAA - 5XXXZ-ORANG PAKEGE2014   \n",
       "3648                        Urgent location sammanthurai   \n",
       "6197   ð° ð´Â  Brand- Nissanð° ð´ Model- B210...   \n",
       "11191  BODY CONDITION 99%NEW TIRE SET RUNNING ð¯ENG...   \n",
       "12342         Full option 4 air bags ORiginal Conditions   \n",
       "15822          runnig 100% tyer good body condision good   \n",
       "\n",
       "                                                Post_URL  \\\n",
       "1092   https://ikman.lk/en/ad/mitsubishi-lancer-ac-19...   \n",
       "3386   https://ikman.lk/en/ad/honda-vezel-2014-for-sa...   \n",
       "3648   https://ikman.lk/en/ad/toyota-corolla-1987-for...   \n",
       "6197   https://ikman.lk/en/ad/nissan-dutsun-b210-1977...   \n",
       "11191  https://ikman.lk/en/ad/nissan-sunny-1978-for-s...   \n",
       "12342  https://ikman.lk/en/ad/toyota-vitz-dba-k8p90-2...   \n",
       "15822  https://ikman.lk/en/ad/nissan-ad-wagon-1985-fo...   \n",
       "\n",
       "                                             Seller_name     Seller_type  \\\n",
       "1092                                             desilva  Premium-Member   \n",
       "3386   Sell Fast | Aradanas à¶¯à·à¶±à·à·à·à¶¸à· ...  Premium-Member   \n",
       "3648                                           Iyya Iyya  Premium-Member   \n",
       "6197                                Aresh Gunawardane II  Premium-Member   \n",
       "11191                                    Mohammed Nafeel  Premium-Member   \n",
       "12342                               Shamali Hapuarachchi  Premium-Member   \n",
       "15822                                             Anusha  Premium-Member   \n",
       "\n",
       "            published_date  \n",
       "1092   2021-06-06 08:07:00  \n",
       "3386   2021-03-09 07:58:00  \n",
       "3648   2021-07-15 22:53:00  \n",
       "6197   2021-02-16 15:37:00  \n",
       "11191  2021-06-30 17:21:00  \n",
       "12342  2021-02-14 12:06:00  \n",
       "15822  2021-06-03 07:24:00  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Mileage'] == 1000000]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c3d3baa",
   "metadata": {},
   "source": [
    "From some research online, I found that the average lifetime of todays car is 240,000kms. Thus 1,000,000kms is most definitely a mistake. I also found that its extremely unusual for a car to go past 500,000kms, thus with this knowledge I decided to filter out cars with mileage > 600,000km (added 100,000km as a buffer incase there are cars in the dataset that are valid examples of cars which surpassed the 500,000km mark). Cars with 0 mileage can only be deemed valid as they may not have been driven. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "89b4dfb2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Only include examples where mileage is <600,000\n",
    "df = (df[(df[\"Mileage\"] <= 600000)]).copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a4a717c",
   "metadata": {},
   "source": [
    "### Creating a test, validation set"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b23b4a7",
   "metadata": {},
   "source": [
    "We create a validation set from the training set to test some of our models then tweak and tune them before we test our final model on the test set. We can use this approach since this a large dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "20b74eb2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Split off the test set: 20% of the dataset.\n",
    "dev_df, test_df = train_test_split(df, train_size=0.8, random_state=2)\n",
    "\n",
    "# Create the object that shuffles and splits the dev data\n",
    "# Why 0.75? Because 0.75 of 80% of the data is 20% of the original dataset.\n",
    "ss = ShuffleSplit(n_splits=1, train_size=0.75, random_state=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "489458d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extract the features but leave as a DataFrame\n",
    "dev_X = dev_df[features]\n",
    "test_X = test_df[features]\n",
    "test_y = test_df[\"Price\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "16d8ecf9",
   "metadata": {},
   "outputs": [],
   "source": [
    "#lets make a copy\n",
    "df_copy = dev_df.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7a4102a",
   "metadata": {},
   "source": [
    "### Dataset exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "372ebfc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "m = scatter_matrix(df_copy, figsize=(15, 15)) #lets explore some of the numeric data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "023c7d19",
   "metadata": {},
   "source": [
    "From these graphs there are some clear correlations with price: Year and Mileage "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d68b5fd9",
   "metadata": {},
   "source": [
    "Lets examine some of the strong correlations "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "7053df2f",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "plot = scatterplot(x=\"Mileage\",y=\"Price\",data=df_copy) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "b1cf030e",
   "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>Year</th>\n",
       "      <th>Capacity</th>\n",
       "      <th>Mileage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.363375</td>\n",
       "      <td>0.492213</td>\n",
       "      <td>-0.295433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <td>0.363375</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.083738</td>\n",
       "      <td>-0.562400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capacity</th>\n",
       "      <td>0.492213</td>\n",
       "      <td>-0.083738</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.217806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mileage</th>\n",
       "      <td>-0.295433</td>\n",
       "      <td>-0.562400</td>\n",
       "      <td>0.217806</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Price      Year  Capacity   Mileage\n",
       "Price     1.000000  0.363375  0.492213 -0.295433\n",
       "Year      0.363375  1.000000 -0.083738 -0.562400\n",
       "Capacity  0.492213 -0.083738  1.000000  0.217806\n",
       "Mileage  -0.295433 -0.562400  0.217806  1.000000"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ec9d78a",
   "metadata": {},
   "source": [
    "### Feature Engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "958daf5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAERCAYAAAB2CKBkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Il7ecAAAACXBIWXMAAAsTAAALEwEAmpwYAABaC0lEQVR4nO29eXxU5b34/35mn8lOyCYhgZgAEiAKUbQXtEK16BfBq0jVFqzFy7VXCq3a2vaqiNrWrXpVbNW6VL1t1ao/t+tSC7ZqXUFlU5YQCQQhCSHrZPZ5fn/MzMlMMmFRJgHyeb9eeTHnnGfOec4zh+dzns+qtNYIgiAIgxfTQHdAEARBGFhEEAiCIAxyRBAIgiAMckQQCIIgDHJEEAiCIAxyRBAIgiAMco5IQaCUekQp1aiUWn8AbUuUUm8qpT5RSq1VSp3dH30UBEE4UjgiBQHwR2DGAba9Fnhaa30CcCHwu1R1ShAE4UjkiBQEWuu3gL3x+5RSxyqlXlNKrVZKva2UGhNrDmRGP2cBX/ZjVwVBEA57LAPdgUPIg8DlWustSqnJRN78pwE3AH9TSv0ISAO+NXBdFARBOPw4KgSBUiod+AbwV6VUbLc9+u9FwB+11r9VSp0CPKGUGqe1Dg9AVwVBEA47jgpBQETF1aq1Pj7JsQVE7Qla6/eUUg5gKNDYf90TBEE4fDkibQQ90Vq3A18opS4AUBGqooe3A9Oj+48DHEDTgHRUEAThMEQdidlHlVJ/Ab5J5M2+AVgKrAR+DxQBVuBJrfWNSqmxwB+AdCKG459prf82EP0WBEE4HDkiBYEgCIJw6DgqVEOCIAjCV+eIMxYPHTpUjxgxYqC7IQiCcESxevXqPVrrvGTHjjhBMGLECFatWjXQ3RAEQTiiUErV9XVMVEOCIAiDHBEEgiAIgxwRBIIgCIMcEQSCIAiDHBEEgiAIg5wjzmtIEAThaCQc1mxrdtPQ7qUg08GI3DRMJrX/Lx4CRBAIgiAMMOGw5rUNu7ny6U/xBsI4rCbunHs8MyoL+0UYiGpIEARhgNnW7DaEAIA3EObKpz9lW7O7X64vgkAQBGGAaWj3GkIghjcQprHD2y/XF0EgCIIwwBRkOnBYE6djh9VEfoajX64vgkAQBGGAGZGbxp1zjzeEQcxGMCI3rV+uL8ZiQRCEAcZkUsyoLGTM4qk0dnjJzxCvIUEQhEGHyaQoy0unLC+9/6/d71cUBEEQDitEEAiCIAxyUiYIlFKPKKUalVLr+zj+XaXUWqXUOqXUu3HF5gVBEIR+JJUrgj8CM/Zx/AvgNK31eOAm4MEU9kUQBEHog5QZi7XWbymlRuzj+Ltxm+8DxanqiyAIgtA3h4uNYAHwal8HlVILlVKrlFKrmpqa+rFbgiAIRz8D7j6qlDqdiCCY0lcbrfWDRFVH1dXVup+6JgiCMCD0dybSARUESqkJwEPAWVrr5oHsiyAIwuHAQGQiHTDVkFKqBHgOmKe13jxQ/RAEQTicGIhMpClbESil/gJ8ExiqlKoHlgJWAK31/cD1QC7wO6UUQFBrXZ2q/giCIBwJ7CsTaaqijlPpNXTRfo5fBlyWqusLgiAcScTsAp5AiCXTy3l6VT272iJpqFOdiXTAjcWCIAiDnWR2gSXTK3j8vTpauvwpz0QqgkAQBGGASWYXuHvFFh679CTyMuxHt9eQIAiC0LddQKP7JRvp4RJQJgiCMGiRCmWCIAiDHKlQJgiCMMiRCmWCIAiCVCgTBEEQBg4RBIIgCIMcEQSCIAiDHBEEgiAIgxwRBIIgCIMcEQSCIAiDHBEEgiAIgxwRBIIgCIMcEQSCIAiDHBEEgiAIgxwRBIIgCIMcEQSCIAiDHBEEgiAIgxwRBIIgCIMcEQSCIAiDHBEEgiAIg5yUCQKl1CNKqUal1Po+jiul1D1KqRql1Fql1MRU9UUQBEHom1SuCP4IzNjH8bOAiujfQuD3KeyLIAiC0AcpEwRa67eAvftoMht4XEd4H8hWShWlqj+CIAiHM+Gwprapk/e27qG2qZNwWPfbtQeyZvEwYEfcdn10366eDZVSC4msGigpKemXzgmCIPQX4bDmtQ27ufLpT/EGwjisJu6cezwzKgv7pYD9EWEs1lo/qLWu1lpX5+XlDXR3BEEQDinbmt2GEADwBsJc+fSnbGt298v1B1IQ7ASGx20XR/cJgiAMKhravYYQiOENhGns8PbL9QdSELwIzI96D50MtGmte6mFBEEQjnYKMh04rInTscNqIj/D0S/XT6X76F+A94DRSql6pdQCpdTlSqnLo01eAWqBGuAPwH+lqi+CIAiHMyNy07hz7vGGMIjZCEbkpvXL9VNmLNZaX7Sf4xq4IlXXFwRBOJKwWRQLTy0jrMGkItv9xUB6DQmCIAhEjMWL/vxJgp3AYTXxyuKplOWlp/z6R4TXkCAIwtHMYDYWC4IgCBzFxmJBEAThwDhqjcWCIAjCgWEyKWZUFjJm8VQaO7zkZzgYkZvWL1HFIIJAEAThsMBkUpTlpfeLcbgnIggEQRAOM8JhzbZmNw3tXgoyU786EEEgCIJwGDEQCejEWCwIgnAYMRAJ6GRFIAiCcBjR0O5lVH46l516LB5fEJfdwh/e2kpjhzdl9gMRBIIgCIcRx2Q7uGhyKT97Zo2hGlp6TiVFWamLKRDVkCAIwmFEqzvAspc2JKiGlr20gVZ3IGXXFEEgCIJwGLGrj3QTu9tTl25CBIEgCMJhRFGWM2m6iUJRDQmCIBxd9CxWHwyGqW3qxB8K8at/H5+QbuLmc8dRWZSVsr6IsVgQBKGf6RkrUJrr5EfTKrj2+fXG9v3fm4Q/GKYg005lURYWS+re22VFIAiC0M/0jBWYOWGYIQQA6po9XP6/qynPT6dqeE5KhQCIIBAEQeh3etYfsFtMSQ3EDSk0EMcjgkAQBKGf6Vl/YOTQtKQGYpfN3C/9EUEgCILQz/SsP7CrtYvF0yoSDMSLp1UQCIX3dZpDhhiLBUEQ+pme9QecVgs3vbye2+ZUGWklHnu3lhnjCvulPyIIBEEQBoD4+gPBYJgLT0pMK3HzueMoyXH1T19SeXKl1Ayl1CalVI1S6udJjpcopd5USn2ilFqrlDo7lf0RBEE4HNne0pXgNeQNhLn2+fW8W7uH1dv24veHUnr9lAkCpZQZuA84CxgLXKSUGtuj2bXA01rrE4ALgd+lqj+CIAiHKz29iCAiDD7c1sJ3H/6A59d+mVJhkMoVwUlAjda6VmvtB54EZvdoo4HM6Ocs4MsU9kcQBOGwJD/dntRrSOuIQLj+hfWs/bItZddPpSAYBuyI266P7ovnBuB7Sql64BXgR8lOpJRaqJRapZRa1dTUlIq+CoIgDBjeYIgl03t7DT33cX3keIpjCgbaWHwR8Eet9W+VUqcATyilxmmtE9ZIWusHgQcBqqur9QD0UxAE4ZASX5c4GNZs2d3OA/Mm0e4JkuW08Og7X7CrLTL5O6wmCjJTl3QulYJgJzA8brs4ui+eBcAMAK31e0opBzAUaExhvwRBEAaUcFizclMDa+vbCGtIt5k5bUw+//nE6oRiNM1uP5sbO7lx9jgmHHNkJp37CKhQSo0kIgAuBC7u0WY7MB34o1LqOMABiO5HEISjmu173Wxp6OTBt2qNiX/J9ApyXDZ2tXmNYjSPfv9ErGYTE47JwpbCKOOU2Qi01kFgEfA68DkR76ANSqkblVKzos2uAv5DKbUG+Avwfa21qH4EQTiqaWj3cfeKLQnuonev2MJ5E4uNNt5AmDZPgOoRQ1IqBCDFNgKt9StEjMDx+66P+/wZ8G+p7IMgCMLhhtsfTOouqlT3tsNqSmmd4ngG2lgsCIIw6CgdEkkyFy8MHFYTYwoyWDStHLOCY/PSGZ2X0S/9kaRzgiAI/czIoYlJ5xxWEzecU8ntf9vI8pU1PPBWLU2dPmqaO/ulP7IiEARB6Gd6Jp0DuObZtdQ1e4CImuj21zfx8CXV/dOffrmKIAjCIKRnXeJwuNsXJpZ07uSyobR7goYQiOENhHH7UptjKIasCARBEFJAz7rEDquJO+cez4zKQkwmlRBQlum0UJrrTBAGDquJNHv/FKYRQSAIgpACetYl9gbCXPn0p4xZPJURuWm9hMTScyq5/5811DV7jLgCh0UEgSAIwhFLXxlFYzaBnkJi2UsbuGNOFRsbOjApSLOZGZJm65e+iiAQBEFIAbG6xD1dRPMzHEmFRI7LhstmZni2kzSHhS5fICGuIJWIsVgQBCEF9KxLHLMRjMhN61W8vijLwfxTSvmvP3/MNc+t4+q/rqGlK8ieTl+/9FUdaRkdqqur9apVqwa6G4IgCPslZhBu7PCSn+FgRG6aYSiOtxEsnl5u5B2K4bCaeGrhyVQNzzkkfVFKrdZaJ/VHFdWQIAhCioivSwwQDIZZt7OVXW1e8jJs/Ozbo9nbFaBkiCupPaGh3UdtU6chQFLWzwNppJQapZRaoZRaH92eoJS6NmW9EgRBOMoIBsM8v2Yn33nwfS7/34+Z9/CHpNkt5GfYeqmKILIiCIU1Z9/zNq9t2J0Qg3CoOdAVwR+AnwIPAGit1yql/gzcnKqOCYIgHOnExwpYzaZeBeqXvriB2+ZUce3z6/jNeeP5Yo+bsAazgtw0G+l2M5dNLePW1z5nTGGGsbI41ByoIHBprT9UiSbsYAr6IwiCcFTQ0w5w6/njE9Q/RVkOzptYTDismVs9HK8/mFCf4OozR7PX7eeht2tZPK2CvW7fgAuCPUqpY4kUm0cpNQfYlZIeCYIgHAVsa3bzyDtbuW1OFR5fkJIhLiN6uCjLwbyTS7ln5ZY+C9Pc8bdNPDhvEpdNLeOpVdv5t2NzU9bXAxUEVxCpGTxGKbUT+AL4Xsp6JQiCcITT5vFz/sQSfvbMGmOyv3FWJff9o4aZE4YZQgC6C9MsmFLGfW/WGPt2tXqNFUGHL5Cyvh6QsVhrXau1/haQB4zRWk/RWm9LWa8EQRCOcEJhWPbyhoTJ/voXN3D7nCqOK8w4oMI0mU4r3kCYe1ZuwWYe4FKVSqlfK6WytdZurXWHUipHKSWGYkEQhD7Y0+lLOtnvdfvJy7An9RKKeYjGVEUxl1FvIIzbnzqz7IFGFp+ltW6NbWitW4CzU9IjQRCEo4CiLGfSyb4oy0FBpj2SVC4u6vgn3xqF02pm0bRyFkwp4/H36ti0u8M4XjIkLWV9PVAbgVkpZdda+wCUUk7AnrJeCYIgHOEcV5DBjbPHcf0L67ttBLPHcVxBJhaLiYqCdBaeWkZYw78dm8vPn+suTFOU5eCC6mIKMuwsmV7O+OIsRg4deEHwJ2CFUurR6PalwGOp6ZIgCMKRz64OD+l2M3fMqcLtD5Jms2AyRfaX5qYzbXQBZUPTaezw4g2EuGxKGU2dPiymiJC45dXPjZTUd849PqV9PSBBoLW+VSm1Fpge3XWT1vr11HVLEAThyKahzceVT6/plT/o8UtPojS3Ox5AaxjistHY7kuII1g8rYIn3q9jV5vXqGMw0HEEaK1fBV49mJMrpWYAdwNm4CGt9S1J2swFbiASo7BGa33xwVxDEAThcGSP20eOy8Z5E4sNb6C3NjXiDYZ4b+segiHNtS+so67Zwx/mTeL6FxM9jO5Z2e1OGqtjMCCCQCn1jtZ6ilKqg2gwWewQoLXWmfv4rhm4DzgDqAc+Ukq9qLX+LK5NBfAL4N+01i1KqfyvcS+CIAiHDcOynFz6byO4843Nxlv+slmVXPfCekPlE3vr94XC+3QnjdUxSBX79BrSWk+J/puhtc6M+8vYlxCIchJQE41B8ANPArN7tPkP4L6oFxJa68avdhuCIAiHF8GwNoQAdOcWumDScGP7npVbOG9iMVlOa1IPI60T6xikiv26jyqlzEqpjV/h3MOAHXHb9dF98YwCRiml/qWUej+qSkrWh4VKqVVKqVVNTU1foSuCIAj9y94uf9K3/Lx0e8J2yRAnNovq5U563cyxTCrN4pXFU42C96livzYCrXVIKbVJKVWitd6egutXAN8EioG3lFLj42MWon14kEiKC6qrq4+sSjqCIAxKMh3WpKUqXXZLwvb2vR5KhjjJcFgMd1KTAq01aTZLyuwC8RxoQFkOsCFak+DF2N9+vrMTGB63XRzdF0898KLWOqC1/gLYTEQwCIIgHNHkZ/QOGlsyvYJdrV3G9uJpFTz3cT3b9rh71RsIhzVD0/onXOtAvYau+wrn/gioUEqNJCIALgR6egQ9D1wEPKqUGkpEVVT7Fa4lCIJwWKEUpNnMCW/5GQ4L+RkObp8zgYZ2L0rB+ZOK2dsVoCjLzh535LvpNjNleek0dvpQJpXyCmX78xpyAJcD5cA64GGt9QElvNBaB5VSi4DXibiPPqK13qCUuhFYpbV+MXrsTKXUZ0AI+KnWuvmr344gCMLhwZetXn7/z1rDfTQUhvve3MpVZ46iOMfBnk4fd6/oTkN95RmjGHdMFrV7OklzWLns8VXGsTvnHp9SO8E+i9crpZ4CAsDbwFlAndZ6SUp6coBI8XpBEA5n4gvWf//Rj3rZCO6YU4XZpPhJtGBN/LE7L6gipOGnz/QORHvlawaU7at4/f5sBGO11t/TWj8AzAGmfuVeCIIgHOXEqpKdfc/bfLqjlcXTEm0Ei6dVkO4wo0wk9Sja2NDBpoaOpMcaO7wp6/f+bARGJYSoqidlHREEQTjS2dbsNkpTdvpCvLRmJwumlKFUJJXEU6u2c8ecKobn2CnNdTJzwjAjaOz9rU1MKs2h3RNkyfRynl5Vz662yOSf6oCy/QmCKqVUe/SzApzR7f1GFguCIAw2Gtq9xtv8s6vrufzUMpq7/IQ1WEzwg2+MxO0PcsLwHK46czQ1jZ1Gsfr5p4zg+rio4yXTK3j8vTpauvwpDyjbpyDQWqeuJI4gCMJRRkGmIyF2wBsMJySSu/KMUeSl29nR0sXOFk/CsSXTK7jwxBJufW2TUbrywXmTSLNZGH9MVkq9hg40jkAQBEHYDyNy07hz7vE4rCbOm1jMnz+sY8GUMhZNK+eyqWX86YM6vIEwO1s9hscQdNcsHl2QwaJp5SyaVk6Oy8aH21r47sMf8OK6LwkGw/u5+lfngLOPCoIgCN1eQQ3tXgoyHQk+/iaTYkZlIWMWT2VrUydpNrNRpD5mLF5b30pRtjN5GcsuP8tX1hgrhNj+a59fT0V+OlXDc1JyT7IiEARBOEDivYIu+sMHnH3P27y2YXdCVLDJpCjLSyfLaTWEAHQnmSvLTyfHZUuaZC7NZjHa3r1iC6Hoeb2BMLvbUuc1JIJAEAThAIn3CoLIBH3l05+yrdlttAmHNbVNnTR1JC9e39Tho8MX4OozRye4ll4zYwwmk0pQDXmj6iCH1URh1sB5DQmCIAhR4r2CYsQXjYmtGK58+lMum1qWNOlcXoYdq0nhsJqM9BNpNjPZLitLnvwkwXjssJhwWE3cfO44KouyUnZfIggEQRAOkJ5eQZDo4x+/Ynh2dT2Lp1Uk2AhunFXJ9S+sZ97Jpdzxt+5aBVecXs7//H2zEXMA8ORH27nt/Ak88YOTGF+UhcWSOgWOCAJBEIQDJOYVFJvsexaNiV8x7Grz8sT7Ea+hMYXp5Kbb+cVza6lr9pBhtyYIkwyHme9Ul/QyLLd5gix+8hNuPncc51YNS5kwEBuBIAjCARLzCnpl8VSeXDi5V9GY/AxHghF4V5uXh9+pxWIysaO5i7pmDwAuuyWh3bBsV1LDcpbTangNbdjVlrr7StmZBUEQjkJiXkEnlw2lLC89IdDLbCJpDYJtzW6+bPMY+3e2diW0q2t2J3cndfuMz6n0GhLVkCAIwiHiyxYvj79Xl5Bf6PH36rjopBKeXlXPkukV3L1iC4+9W8cPTyszjMUjhqYltT1kOq3GZ/EaEgRBOEzYV0CZ1apo6fJz35s1RnuH1UR5Xhq72ry8um4XD8ybRIcnSEGWnVZ3gL1dfvLSbSybVcnSFzcYNoKl51RGVxTllOeni9eQIAhCqomf4PPT7XiCIepbPBRlOaksysRiMSW4hyYrGtPuDSR4CpXmOrlmxnGEteaBeZNodftYXddCWMOWxg5y02z8/p+1tHT5ue28cTw4bxIt7gA5aVZ2t3nY2hQra2ke2OL1giAIRzvJJvj47J8xr53tLV1JA8rGRIvGOK1mnlq1nQVTyshwmMlwWI32vzxrNCFNr0Rz808p5fH36tjZ5uNnz61Pev0rzxjF9r1uRgxNTSF7MRYLgjDoSRYxfPeKLZw3sTjBaydZQNmo/HT2dPh4bf0urCYTV3zzWMwmyHHacHsDLDo9Eik8piiTJz/a3usaxTkuzptYnDQJXez6d76xmaYOX8ruX1YEgiAMevqKGI4Fd8W8dioKMhIKyuRn2LCazcx/9MME3f4Ln+7EH9TMP6WU5W/WJMQGPPF+nVFwxhsI0+ULolTyimXx12/tCpAqRBAIgjDo6StiOFbSPea1U5Lj4kfTKrj2+YgKZ/lFJ3B1XH1hbyDM/f+s4aozx+DxBfmyzUOOy8auNq8RG7BgSplhTHZYTTR1+jArqC7NYv43yvD4grjsFh57tzbh+i576srDiCAQBGHQkyxiOKajj8/1s72liyc/rOO2OVV4fEHMJpUgPIqyHHynuoSfRYVDz1WANxDGHFXIO6wmbpo9jqEZVjo8AYZllyZ8b9msSl5bt8voi8uaOkGgtNb7b3UYUV1drVetWjXQ3RAE4Sgj5jXU2OFlaJodbzDEzhYPhVkOKqO5fj7ZvpeNuztZ9lLEzXPJ9HIeiBp/IZIz6OF3anutLGKrAIfVxAPzJvHRtha0hpfX7uTm2eMJo/nPJ1b3+t7Dl1TT0hWgyxdg7DFZjBuW/ZXvTym1WmtdnexYSlcESqkZwN2AGXhIa31LH+3OB54BTtRayywvCEK/E4sYLsvr9szpOfGGw3D/P2uMgDGnzcyVZ4zizjc2G2/7fen6Y6uDz3e1s3xld5xBq8ePQiX9Xn2Lh6UvbuAn3xqFJxA69DcdJWVeQ0opM3AfcBYwFrhIKTU2SbsMYAnwQar6IgiCcCho6fLzneoSHn6nluUra/ifv2/BbjZx//cmsWhaORX5GUkLzowuyGDBlDKeWrWdDm9kQp8wLJPlF51AKAy56ckL1ThtFryBMHf9fTM2c+qcPFPpPnoSUKO1rtVa+4EngdlJ2t0E3AqkLpGGIAjCISAzSdWx37y2EaVg+coafv3K51x5xqiEXEPXzRzLztYuLCa46ozRvLx2JxOGZXLR5FKufmYNP37qU377t43cOGtcwveWnlPJQ29tNa7T5U/diiCVqqFhwI647XpgcnwDpdREYLjW+v+UUj/t60RKqYXAQoCSkpIUdFUQBKFvgsEwG3a19Vl1bNPuDgBsFkVehp2Fp5ZhMZkYVZDOb179nLrmSMK5314wgdvnVNEYjQkYlZ/O2p3t7Gz1YTJp7phThdsfJM1mwRMI0tTpByKCoSDzKMw1pJQyAXcC399fW631g8CDEDEWp7ZngiAI3QSDYV7dsIstjZ0My3KyZHo5T6+qN2IBSnOdjC7M4NbzxlOS6+Ln0ZoDV5xezo+f6g5SG5WfTrs3xFV/jYs5mFkJH9ZxZmUhT364nfnfKAMNGnjqo+18d3IJy9+sSah5kApSKQh2AsPjtouj+2JkAOOAf6hI1EQh8KJSapYYjAVBOFzY2NBOfYunV2qIx9+rw2ZRXPHNcsPjJ95d1G5JjEu47NRjDfdQiKwklr28gdvmVGEzQW5aotvp0pmVDBti55XFUxMS26WCVNoIPgIqlFIjlVI24ELgxdhBrXWb1nqo1nqE1noE8D4gQkAQhMOKlq5A0vQPvzp3HFedOYbroxlDY8fuWRlJDTEymlo6hscXTKpW8viDZLlsLHt5Qy8hYTdbetU8SAUpEwRa6yCwCHgd+Bx4Wmu9QSl1o1JqVqquKwiCcCjxBkJJJ/CmDh+bGzqSHjObIsVnFk/rLj6T5rAk9QwqzHKwp9Of9Dx7OlOXXyielNoItNavAK/02Hd9H22/mcq+CIIg7Iu+6gyU5SYvGtMUnaSTHasuzUFruHflZiMK+ZgsB7eeP55rnl2XED38x3e+YO6Jw5OeJz/DTm1TZ8pVQxJZLAjCoGdfdQYAXl2/m6v+2n3syjNG8ei/thk2guvjCsrccE4lv/9nDVkOKxdNLjWikB1WEz/99miKc1y0dvnJz7TjD2g8gRBpNjNdgWCCkLjhnEqOybaz8ImPE2oefFX2FVksgkAQhEFPbVMnZ9/zdq838leidQZiq4XNDR00tfs4tiCNpnY/Q9JtNHV42NbsIaxhTEEGt/9to+E1lCzdxG1zqmjt8mG3mBMqkt00exwluU627ekizWahyxegwxfipv/7PKEvX5V9CQKpRyAIwqCnZxrqoiwHC6aUsbmhg9qmTsLhyAuz3WJiaKadXzy3jiVPfcpH2/Zy94oaQtGveoMh/EHNFaeXU5LjTKr3r2nsINtlN4RAbP91L0Qyml7z7DoW/eUTrn/pM/KisQPeQJjGDileLwiCkDLi01AXZTmYd3JpQrnJ+NTTsWjhDm+AEblplA91YTKZcfuCDM9x8cPTyvj1qxu5bGpZUr1/KNy3B1F88RlvIIwvEGLRtHJeWrOT/IzUBZTJikAQhEFPSY6Lm8+NpHg4b2KxUW5y0bRyrj5zjCEEAHJcNhraveQ4bexq84DJxNXPrOGa59ZxyaMf4g2GyXHZeGtTI0tnViakjVg8rYLnPq7HZU/uQZSXYU/Ybmj38tDbtfxoWgUlOa6U3b+sCARBGPRsb+ni3mjRmFH5aXynusRYESyeXm4IgZ6rhVhwWXzxmTvf2Myi08vxBMLc/1Z3ptLRBRnc8beN7Grz8oe3trJ0ZqUROxALINvR7AYwzgsYpTInluR8LRvBvpAVgSAIg56Gdi91zR7ue7MGk8mUkFgurDHe3s+bWNwr6VystnAMbyBMQaYDpTDOGUtI953qEhxWE2t3tvPsx9v5w/xqbp8zgdvmVPHsx9vJdNlZNK2cBVPKePy9OtzRRHNiIxAEQUgxBZkOoxaxL5gYQPbs6noWT6vgnpVbeqWNgMTawhARGrlpNho7vAk2gl1tXp5atZ075lSxsaEDk4I9nT6eeG8bmxs7WTK9gt+88rmRw6hnqcxU2ghEEAiCMCiJDyAbmm7nqjNH87Nn1vYy8sYm8AfnTcJiVkkNwDH3/phKx2pWlOdnsGR6hZGewmE1ceGJJfyqx2T/8CXVdHiC+MNhWrr8CeeJL5UpNgJBEIRDSLIAspiuP34FEDt2+Wnl3PH6Jv7r9PJex26aPY4Wt49F08oxKSjMchDUmla3n8ffq0uwEfw6TghAYhWy2+dM4PFLT6SlK0jtnk4Azp9UHI1Q3pJSG4EIAkEQBg2xugId3qAhBKBb1x+rLfzE+5EJfExhOplOK799fRNrd7aT47IaHkVKwdjCDB75Vy2Ty/JQCkJh+J+/b+bnM44D4NJvlOIPabzByHUunFTE5PICmjq8HJPlZMdeNxaLmcumlnHH3zZx2/lVbGro4M43Nvfqe0O7VwSBIAjC1yEYDPP8mp1c+/x6Lptatl9dv9kEZpOJdk8wkkri9HJQcOGJJYa6Z/H0clbVtbGqri3hXJ/vbuevq+qZf0opy9+swRsIU12axdzqEr7/6IfkuGzMP6U0QW20eFoFrZ4Axw/PSqp+sppNvLd1T0IepEOFCAJBEAYFG3a1JcQD9KXrL8py9Jqkb5w1jvv+sYVxx2Ty6rpdkURy/iBFWd1G5pgQeX9rE+X5Gfzy7OP4aVz9gfnfKDPqDZw3sbhXaut7Vm7hsUtP4pMdLb3UT0tnVnLVXz81Kp0ditxD8YggEARhUBDz8weS2gGuPGMUpblpVJydkTCBewNhrn9xPQ/Mm4THH+KHp5dzS7T8ZHVpFr84awzBELh9QbJcVsYdk8GPn1rTa9URH02sFElXJHvdPnKcNnzBEHfNPZ52T4DCbAf3rthMXbPHaHfl058y5mvmHopHBIEgCIOCoiynsQrY1ebliffrWHhqGcOynOxs85CXbufXr3zGOVXDkk7Sq+tauGdFDaW5Tq6ZcRw1jZ1UDstgT4c/IXnc0nMqGZUfmaDjVx2xaOJ9rUiyXTa2NLp71Tr+ybdGsbPVZxiaY3EFh0oQSECZIAiDgsqiTCONBEBLl58RuWmU5acxfUw+r67fyVVnjmHi8Oyk6R9C4Yja6DvVJVz59Kfc+cZm1uxo65U8btlLG7j626OxmU3cNfd4SnOdADz2bi03zoqknHh2dT1LpncXrYl5H/mDIfyhMJ/vaucH3xhJUZYDbyDMXX/fzHcnlyT051DGFciKQBCEo5b4WIHCTAdZTit3zKnC7QuS5rBgs5g4oTiHcFjzrbHH8LNn1pDjsvXy/4/VIe4ZWRzWyVU8q6Krh9gKIT/DRprdjD8Y5sF5k2jpCpCfYeOB701kTX07JgUef5D//N/uxHZLplcw/5RSbn1tE95AmMKsyMQfsxEcymL2IggEQRgQ+qoIdijPHx8r8MuzRhPSJEzwS6ZXMCzLQTCsue/NLYZbqFKwZHoFI4emMSTNxk+fWcOuNm9S3X5fGUahe4XwxA9OIqxh4ROrerVdMKUMgOVvbuzlznr/9yZx70Un8Ni7tRRmOnhy4WTyM8RrSBCEo4B9VQQ7VBPctmZ3QqxAUbarlxH47hVbGD8sC38olJBoLrYK2NbsJi/dZriMQuLEH1PxJFs9xIgYgf0EQpocl43zJhajFAxNs1KQ6cQXDDMkzcrbm9NZu7M94XtNHT6ue2E9y2ZVkuEwUzV8yCEZm56IjUAQhH6n5yQd84TZFs2+eSjoWWymq48aAG5fkEyHrVcyuXtWbuG4okx2t/uMCOGK/DSumzk2wc5QlOXgf+Yez63nj+fhS6p5atX2hOhhh9WE3WomN93K/FNKefidWp5dXY8nEOYnT3/Kj5/6lIVPrOaiyaVMGJaZ8L10uwVvIMzSFzfgC6aumqSsCARB6Hd6TtJw6D1h4ovNAOxx+xJ8/p1WE1aTQgPBsGZUfjpTR+Ub8QDPrq5nzY42ThieTUuXn/verDGKxMSnjXhpzQ5mVg0HDWaTSgg4i6mfnFYTHd4gKz7fzYIpZZTkOGnp8rNkeoWRYfT+f9bw0zPHsOgvnxieQnV73cbY7On0JbvNQ4IIAkEQ+p38DEdS3Xpe+qHzhBmRm8adc483Vh5vbmzgim9WcP2LiQbZZS99RkuXn6XnVHL/P2sMl80l0ytwWEy0ePxGzMGzq+sTgs2qS7O4oLrECBQrzXXy42+NYuGpZYQ1mBSk2cx8vL2VJz/azuWnlScUs18yvYJnV9fT0hW5hs1q4tbzx5PtsrGzpYs0m7W7Qlm6ff83/RWR4vWCIPQ72/Z08ur63b3enM8aV8iIoYcun07MIN3Y4cViMvG9hz9Iaqy9782ahM+xY3+YX00gGGbZyxuMlUSuy0pRVkS3n59p59I/fpRwztJcJ1edOYbNDR1oDc99XG8kj0tWzD7++rHI4iynLUFgLJtVSUV+GhNLc7/yWOyreH1KVwRKqRnA3YAZeEhrfUuP41cClwFBoAn4gda6rteJBEE4qtjV5k3IzKk1PP5eHSeUZB+0IIglktvV5qUoy0llUSYWS0SHHw5rOrwBWrsCfUbzxlRBPXMNeQNhWrv8DE238d3Jpdz5xmZyXDZ+eFoZn+1uJ6whJ81qVCeLUdfsYXNDB8tXdgsUrfuOJo6//pr6VoIhzbOrt0fSWPiCuOwWHnu3livPGH1Q43IwpEwQKKXMwH3AGUA98JFS6kWt9WdxzT4BqrXWXUqpHwK3Ad9JVZ8EQTg8KMh0GHr3GF8lSCo+kVzs7fnmc8dxbtUwgIRjS6aXJ1VHxRd/iVeQOKwmNIpL/7iK2+dM4H/mHk+2y8InO9p48K3ahJXM4+/VJdQYSLOZjc8xL6LzJxUnvf7oggwWTSvn/a1NjCnMiMYMOA11UyzXkCZ12ptUeg2dBNRorWu11n7gSWB2fAOt9Zta667o5vtAMYIgHPXE9PfxkbUHEyQVDmtqmzr5ZEeLUWt40bRyLptaxr0rt7B2Zysfb29JSDL39Kre0bxLpkeKycfULy+v3WkcWzqzkofe2oo3EOanz6zls93t+EO6V7K4u1ds4YLq4oRzTh4xhHsvOoE/zK9m5cbd7Grz8tKanSw9p7uYfWmuk+UXT8QXDDGmMIP/mHos172wnjX1bVz7/LrEaOWXN2AxmQ/R6PcmlaqhYcCOuO16YPI+2i8AXk12QCm1EFgIUFJSkqyJIAhHECaTYkZlIWMWT6Wxw5s0SKqvgLP4GITlF52Q1P9/b5efve5Awtt3TB11+5xIzn9HVH10wzljyUmz8dDbNVx15hi01iileOitrYZfvzcQJqyhyx9Kqt4ZluVk0bRyQ8XlCYSMyOLrZo7lW2ML0RqynBYWnlpGRX46vmCYRX/+OCFH0YJ/G0mrJ7mba7M7dV5Dh0UcgVLqe0A1cHuy41rrB7XW1Vrr6ry8vP7tnCAIKcFkUpTlpXNy2VDK8tJ7CYHXNuzm7Hve5qI/fMDZ97zNaxt2G8Ih5gmUZrck9f/PsFsZnuPslTOopcvPxt0R/f0df9vM3Su2kO2yobXmW8cVYiJir+gZ0xZTG2W7rEnzEDntkXdqpcBmUQmRxTe9/BnDsl2MPSaTK59ewz0rash0WhNWK7EI5FGFGVTkp7NkejlFWY6EawxNoddQKlcEO4HhcdvF0X0JKKW+Bfw3cJrWOnUiTxCEI4ZtzW4eeWdrgsH0kXe2MqYwIyEGobXLnxCtCxH//39t3cM/Njay9JzKXt43v/tHtxF3yfQKfvzUp9x+wThCWnF1nF7+5nPH0dYVoN0boDw/jWynnTZPkJvPHZdgk7hxViW//dtGw+106cxK/vJhYmTxpoYOSnKcRl/bugJcNrWMZ1fXJ2QUfXdrs7GSiNkeYq6lXf5gysY7lYLgI6BCKTWSiAC4ELg4voFS6gTgAWCG1roxhX0RBOEIos3j5/yJJb0Mpm0ePwWZ3cVgLGYTP5pWzo0vf2a0++m3R3NcUQbDspwMzbCx/KIT8ATCaODlNTu49fwJePwhNu7uACJ1gW1mC8te+jjhDf3a59ezYEoZH9Q2UZzj4j+eWWXECtx38US2NHZyXFEG967YnFCY5tmPt3PZqceyuSFy/pfW7OTEETlk2C1Jq5I98X7E0NwzR9HdK7bwu4sn4vaHeOzdWsYXZ6VsvFOmGtJaB4FFwOvA58DTWusNSqkblVKzos1uB9KBvyqlPlVKvZiq/giCcOQQDGmWvbyhl8E0GNKU5Lj40bQKHn6nlk93tBlCINbu9tc38X7tXq55bh1X/PkTmjr8WM3ws2fWMKU8H7NSBEJhRuSm8eRH21m+soamDl9SvbzdYmLBlIgRN3bcH9SsqW+lZIiLYCjMtDGFPPxOLctX1vDQ27VcUF3C7taID4xZwVVnjsbjC9LQ7ktaley8icWGUHju4/qE63+8o5WfPrOG8yeVkGlP3Xt7SuMItNavAK/02Hd93OdvpfL6giAMLPvKMLqvY419TMyNHT62t3QZqpm+fPNjxluA+9+q4ZbzJvA/3zkefzDEvEc+TDDQtnn85GXYk7p2luelEQx3J4uzW0yMH5ZJIKRpcfvJyXX1slEsfXEDC08tY/nKbhVPJEI5kLSvowrSeWDeJK5/YX2vHEVad9sPHpqfNBbskCApJgRBSAnJMowuv/gERuam09jhRQGf7GjF7Q9hVjC+OIvyvHR2tXn7nJjzM+y98hQla7ezzWNMxIunVdDY4eWaZ9fxy7PGsOj0crzBcCT/j8dPbpqdLn+wV+nKxdMqsFhM5NjNXDZ1JLe/vqmXADG3qqSTe1h3f46peMJ73En7urmhk7c3N3L5qeXGKqinrcEbCOOJ5iRKBYeF15AgCEcPMR//f2xuZNPudnJcNgByXDZqm9z8v3vf5sqn1/DJjlbuXrGF5StreOCtWr5s8VDf4mF7cxfBcJhbzhuf4PO/bFYl3mAQl81i7I/VHu4ZG/DXVREVS0z9ku2ykeOy4Q2GWf5mDctX1nDvyhpQijvf2Ew4DE+t2m7EIyyYUsZTq7ZjUcpQN/X08CkdkobDak7qRRQfmOYNhOnyhyge4uoVxxBTB00dlc/9b9UkXP/+t2qYOirfaJvptKboF5MVgSAIX4ED8fGPGVavmzmWmsZOyvPTuPW1SPGV8yYWJ+jLY8Liw217CWv4ss1DeX46f/z+iTR0+CjItBMKh6nf68WTrg3PnV1tXp5atZ3ffXdipHi808odr28yvIjyM2wMTbPT5glw59wq/r+PtxtpLQD+9EEd351cgjLRKyHc0nMqUSZwe0NJPZPaPQF+98+aXp5JMW+fGA6riSyXlS9bPEZajZFDXbhsFm597XN2tXkxmyKpKeIjrQFKhjhZMr2coel2On0B3tu6JyVFfEQQCIJwUOyrqEy8j398fd+eXjI9dfvzTynF7Q/1St1gt5jZ0thJbVMneRl27ntzKy1dfu6cW8VD86tp6QowxGXliz2d7O7wM6E4i5lVx3DnG5sZlZ/ORZNLufKv3Z5HN80eh8cfpLHTj1nBD74xkmyXlUBQc/8/axJyH93/zxp+PuM4spy9vX2WTK8gO81GXbOH+/9Zwx1zqtjY0MHxxVl0+oK0dPmBiBC44ZxK3L4ARdndaTV++u1RPL1qh+FtVJGfkVRttH2vh4ffidQ6zku3M+u+d1NSxEeyjwqCsF/iVwAum4XFT35MXbPHOO6wmnhl8VQa2r1c9IcPALji9PI+s20qFXGrjE2EJ43I4boX1vc65x1zqoz8/NfNHEtBpp00m5lNuzu5Jbq6iH8L/4+pI7ktqsa556ITDPfT+HMuPLUswVf/hOHZ1Ld6uPqva3vd95VnjOKEkmz+4/HeJSbvmns8P/zTx0a7O9/YbOQMmv+NMjz+IE6bhcffrWVyWR4vr93JVWeMoqbJTeUxWdQ2dRrCpTTXmbAiqS7NYvH00exu9+K0mnns3Vp+ftZY5tz/XsJ4H0zthgHLPioIwpFPshVAvP87dBeViS8G05dHj9kE63a08l/fLGfpixv2eU63LxJEleOy0dDujejs7RZDCMSOeQIhfjy9grwMu5ENNBAMJ72+xWQyPt+9YgsPzpuEy2ZOeCMvynJwQXUxBRl29vThwbSlsROI5AyqGp7FomnlOK0mzpkwLCH+4bqZY+nwBrjopBL2ugM8+FYtl00tY0N9Kw/Mm0SLO8CQNCvPf1zP7XOqsJqhzRM06hvHDMeeQCDh+oeyiI8IAkEQ9kmyspL3RBO9xefuz89wUJLjMvT3sf29XDLzM5g8cggLHlu133M2dfooynIw7+RSw6Nn8fTyhAk7/pjDauKXZ42h3RskzW5myfRynl5Vn5AZtDyvO7FdzBsnL8Nu1B6OpZre4/azo9XDuGMy+xQSP58xmsIsB//5xOqEgLb7Lj6Blq6AYQeoa/ZwzYzRPPruFyyYUsak0myGZTsTvrf0nErSHWbsFjM/fiqxtvKylzfw2KUnJYzjwWZq3RciCARB2Cd9lZU0R51lYrr3No+fDd6AkQ00P8PGslmVCW/9N84ax+Pv1jL/lJH7PeeVZ4zi0X9t47yJxYZHj1JwXGG3Pv28icUJfvw5Lhtuf4jlb9b0eiP3+EMMcdkIhBIFU7bLSktXgFyXlTvmVIGKlJx8+F9fUNfsoTTXaRiEc1y2pPaC2Cok5mH0vwsm47RaeP6T7fzmvAns6fBRmOWgLNfJkqfXMmHY8Qk2CYjYJH551liaOjxJxyZWqvJgM7UeCCIIBGEQE6/7z89wYDZFsnTGe6bEp3SITVovrdlJeX4kj36azcyeTh/hsCbDaaEsN43RhRkoYE+nl7svPIFWtx+X3cJLa3ZwzYzj8AXDSVcLp5TlMizbSYbDQqc3QEuXnwyHOSHDaPzE3FP91NMbKZb0bcGUMh5+p5YrzxiF02Yxrnf1maPZ0+nHaTPR6g1y/UvdqSpiqqq6Zg+f1O3hsUtPwhcMsTD6Fh87/90rElcy3kCYpg4fGU4T1SPy+EG0gpnDauK2ORP43cUTCYTDXH7qsSyLS43xk2+NAgWFmcljKIam27j/exMpynJQWZQlXkOCcKSyr2jar3qevibwAznHyk0NrK1vI6whP93Gsfnp7Gz10uz2s6PFzdTyfCOlQ3yitViu/qZOf4JqpjTXyX99szxBRx4z5NosistPLWfeIx+S47IZqph41cjPn1trJG+7+dxx/GnBZPyhcEI5yJinzm1zqlAkqp/2VQXMGwhz5xubeezSEw0BNnKoC28gjMtm4U8f1PVSVd0+pyqim9eKSx79kMumliU9f0lOdyTzS2t2kuGwYDObuP7FjxNWKztbPIbgiDekewNh7vr7Zh679CR+9X+f9XJJvXHWOJxWM40hH75gmK3N7VTkHTphIIJAOKw4VBPl4ci+3C5jPvgHcu/JzhOfqfJAXQu373WzpaGTB9+qNVQeMb19bGLe0eImFKZ3yuSXN7BgShlAgmpm5oRh/O4f3SoPp9WEWcGPp1fgslv4aVRAxGoDLDy1jGFZTpx2i5HBM3aNe1du4bbzq9jT6edH08oxKYU7Gl377Op6Njd08Ozqen4xYwzNXX7CGsYUZiRdvei4SN9NuyPfu/zUMtZEhWDMlfT+t2qjJS8dnDexmC5fkJLcNH7+3Fq8gUg0crK39bRoHiCzingQpdnM1Ld6EzKMxq9WlCJpbEJLlz9SA+GDum41lVJoNHMffD9OMFSSabdQlH1ojMXiPiocNuxvojzSqW3q5Ox73u41ibyyeCojctMOWEj05b4ZXwT9QFwLP6ht5pJHI3l3+nL1fPzSkwhpbbiExijKcnDL+eNp8wTY3NBpTHY/P2s04TAJxtuYkLqguph7VtT07Aa3nj8eNFzz3LqE819+apkxwZsV5KbZ+P0/a2np8vPLs8aQn+Fg2143OS6bYYeoLs3iguqSBLtELJ10iyfAS2t2cvv5VTS7/aDgllc/N1YgS6ZXAJHCMt//xgju+vvmBLXNH9/dxvxTSjGbItHI8QLz/n/WJJzHrODXr25KUDGdP6mYZ1fXc97EYiYUJ7qPxr5XVZzFu7V7gYhgWDarkjX1bX3+NieVHXgx+325j0qKCeGwIZl3ypVPf8q2ZvcA9+zQ0JfRtbHDu89771mk5TsPvsd3qksSCpfE3jLjz7k/3P7uSlh9qVT2uH3kp9sT0igUZTmYf0op//nEahb/5VMeeruWeSeXUpTlYFh27yRsd6+IZNgMa3qdZ/H0ctCQ5rBQmus0js0/pZSuQCTALJaCwu0PMf+UUsMg/OOnPyUY0sakDzC5LC9h2xuIpJPe2xXgobdruerM0bj9Qdo9AUJhzRWnHUtRlsPo5/AcF9+dXGIIgdg57vr75kgEsoJsh4U75lRx6/njefiSakMIxN9vUbbL2I5lGM20m5l/SikPv1PLloaOpCUvzSZlZDGdf0opWU4zdosp6W9zKCuWiSAQDhv2NVF+HWK5b97buofapk7C4eSr4ANt91WvF/OxjyfmBniwQiI2ucSfJ74Ie156t5AIBsOs2dHCa+t3sWZHK8Fg5DylQ9IozXVyxenljC7ISNq3YVlOgjrEslndtXYvqO5tkI31p67Z3aeOPj4vUEyYPPhWLdc8t46r/7qGy08rN4TB8BxX0omyOMeVoGLJS7cnXG9fNoKYjv6Hf/rYuKbZbOaXZ49h0bRyRuWnk+G0MCI3jcumlvUStPkZdkYOTccbDLO5sYMdLR72ugP4g5orTi9n0bTIX47LRpcvmPDdUQXpHD88hyc/ing/9ex3rN3u9u4YirtXbEFhYuTQtKS/Te4hrFgmNgLhkHAodPvxwUgxvq6/9IGqmw6VWmpf54kVbO+ZjVNr8ARCSX3e9yUk4l0tYy6SS6aXk5dhN44Fg2GeX7MzwdB787njOLdqGKVDXFx15mhqGjvZ2drF9TPHJhR4uWn2ONIdFrY0dtLi9rNkegVuf4hR+RlJ+1N5TAY5LltSn/thWU7On1TMyo27eXDeJDQYPvSx7y97KeIrv7vNi9WSPKtnly+YMNm77Jakz0zPba2TexT99/PrWHR6OQ+9Xcst543nsy/bjWyol59aZtgMSnOdFA9xodDUNnWnwrhx1tik7qQhnXj9IS4rHb6A4f102dSypP3My3AYRudnV9fT5Paxq7UraWbU1q7uALOviwgC4WtzqCbRZBPl1/WX7kvlMqaHDv1A2+2PL/a4ufW1zxP8w2997XOKsx24/SFGF2Tw2pKp7G73Upjp4LNdHfy/e982PG6unzmWLY2dhMJhxhdnMSI3jQ5vMOmkUV2aw11zq8h0Wrnx5Q2GjvqW88azp9PHrjYvNrOJe3uoaq59fj0VeelkOq3sbPEYk1pprpO75h4PCtLtFvZ0eHhhzZeGjn6Iy8bj79Vx2/kTkvYnx2Xjt3/byE2zx3HdC+uT+twvm1XJPSs2c8Gkkl4TfY7LRlOHjy1NnYw7JpPSXGcvO8gxOU5GDE2jsc1NXmYaGp0gwF5as5MbZ1dy/QvdNoKYfv/8ScVJhUteenc0cnzKh+tnVvKLs8Zgs5gAzQ/++BG/++5E461eKcjLcPBwj9/7yY+284sZxxl9XjK9ApvVhMVsMibz2OoofnJfNquSX8R5TS2ZXkFhhoO8dDu3xV1D60im1NvPrzrg53J/DApj8dHsifJ18ftDrP2yjd3tXooyHYw/JgubzXxQ56ht6uTSP37Yy1Pj0e+fdNAh8LHfqrEj4hb5dX+r97bu6WXoBHhy4WROLht60O32x9tbGllX397r7a04x8HiJ9f0StAWMx4ni5C996ITyHHZjHwz8ZP94mkVmExwXFEm17+w3hh7p9XEMVl2vmj2JEzgsTfbGPdedALZLmvSHDq3z6liV2sXIU3CJH7dzLEUZNgjq4SGTpo6fYQ1FGbYGDE0ndauAGYT2C2KLr/GZTPzX3/+uNf5H5g3KdKHFZsjOXl8QbLTbHT5/FjNFty+IGkOC1aT4tdxxtxlsyr50/t1tHkD/PKs4wiEdCTjqMuK02piTX07k8ty2N3mZWuTm3C0CP3QqJF5bnUxD7zV2+h6+5wqNu7uMAyyyX6LZbMq6fIFyY+uWjc3dOL2h5hQnMUXTe4Ew/LiaRUcm59Oq9tPdpqNHXvdDE13EAyH+e3fNhueQul2M8GQJi/DjtOW6DUV69vd3zmBJU99wo2zxnHfP7YYY3HT7HGcNDKD0tzsA342B3WuoaPdE+Xr4PeHeH7tl1z/Qlwh7tnjOHfCMQclDJrdPi4+qbSXl8Vet++gBYHJpCjLS0/6vWAwzIZdbVH3PieVRZlYLBEdSF/C/kDVTQerlurrenazuZex9J6VW3jk+ycaS/5bX/uc0QUZNHZ0q3ySRcjWNCZ6lcS8X/Z2BVi5cXc0sVmIhacey03RN+JY8rKeWTznn1LKra9tMu5r4+4OSoc4k74hA4wpyuwVOHXTy59x+5wqaptayXbZePCtWkblp3PplJFG+uh0m5mibAfXPLuO//pmeVIXyXX1beRn2LjwpFIj3uDm2WMxm8384v+Lq1F8TiW3XzCBLxq7yHBa2Nvp47uTS8nPstPQ5uOGHimjJ5floLTimmfX9fodf3fxRIJhbSSHix8bm8VESY6zz9/CG+iuOvbg218krHIWT+8e6/jf+8F5k7hhxRZ+eFoZ7d4grZ5OJhRncem/jeh1/S5fkB0tngQhEDtXuzdS1ez6F9cbGU5NClw2M95Dpxk6+gVBX0v+YQtPpssfGvAVwr4mt6/DgayC1n7ZZggBiIzNfW9uYWSui2BY77O0YFGWg1AYGjsi6oc/f1iXMIm5/UFaugLUNnX2uvZXWaEl03X/6t/HUzLEyRCXnS+aO1n0508OSC+fTN10IO1iq6eGdi9D0iJqkFV1bTisJh75/iRsZgt7u/xJJ9eP61pYvrKG0lwn18w4js0NHRyT7TTUHwcSIXvt8+t5YN4kNu1q5zsnRibRnoFJMycMMwKRYt+7e8WWiE86JKhKvndySVLhV9fsxmZO7qnS5Q9yTLaLq6MT+BXTKqhrdvcSPDkuG6MLM3pV9lp2zljK8tJp6Ih4vIzKT2ftznZKctN6CZ5lL23gjjlVXPPcumhdg0pau/w4LGZDCMS3ffiSava6kyeIc/uD1Ld4yHBYWHhqmbFaSLOZueHFDcytLjbGoi+DcziJnSGse7fNcdkIafjv/3dcQqqKZELj7hVbuGvu8TR3BZL+FtnRYjTeQJiNDR0sX9mdh+nR75/IoeKoFwR9GdpWbGw0UtEO1AphX4a8ryMMDnQVtLvH2MTyx8fXdI19DzDOmeOy9Xqz+cm3RhHWGqUgw2E13lAdVhO/veB4zhpXmLRwyZljh7JgSnkkuVgP1VS8kMxNsyXounNcNuqa3QSDYd5p20N5fhp3XlBFhzeIy27hkXe2kuGwkOmwMq0ij6cWnsyuNi/DhzgJhjR/+2w3RVlORuels6mpg11tXopznLy6eCoNSdRSPVdPMR3yloZO0u1mOjxBNuxqYXiOixtnjSUvw0G7J4DLbmHN9j1MLM3h99+diCcQSvhdbj53HPeu3AIcWIRsqzvAMTkubn99Y9JJq6/vWcyKW88bT066DYtSXHRSCVkOK3dfeDwbvmw3VDwj8yKRxaVDXEl19C6bhS5/kFH56Vx26rGEwppwWBuGZIAVn+/mF2cfR7rdnFDZK8dlY29XgKXxNYNnVsKHdbR5gn1O4LHnclFUzRSfdC6+7V53oM+VXabTiruhk1fX7eI/Tj0WbyDEjpYufv/PiMrs6VX1RqRzz98itq118vHtaRz/4WllfLK9pVegWjKhEXvrf2nNTpbOrEwoVXnlGaMI97h+4v36OVQc9YKgrwcjlncqtkIY/aOpHJt/aKL0DpTPdrX1iti89vn1jMpPZ8LwnP1+v683623NyQ2WYwozElQuRT1yyIwuyDAiP2P9ufLpT8m99CQcVjO3vvY53kCY704u4U8f1CWcf2tjG+dPKqWxw0eW08IpI4fw5uY9eANhrvrrp4wumEJ5QQbbmt088s5WbptThd2iaPMEjaCmmO5zUkk2u9t9+IIhbnipWy/+ixlj6PAFCWuoyE/nlmhWx9JcJ1eeMYotjR3Gf755p4wgGA7jC4b4++ZGrv7rmqTGy5tmj6PF7aPdF2J7s5sxRZl4AyGcVgt+f8gQEkPSbPz9sy+5bU4V/mCkYlVMZx9LqxAfofvruMn+ptnjWF/fyvAhafzy/1vX6/d+4gcnsbcrwG/+fTy/iB43q+STUXaaFYfFzH0XTcDtV/iCIapLswxde1G2g7mTipgyqhCPL2gIoiFpNgIhTbbTijcQpCDDTpoj8t//hU93kuWwcumUkXzwRUTFs7Oli6vOGMVv39hsjP/Scyr5w1tbmVtdzEWTu9U6CW/rVjNjCzO49fWNXH3mmP2ucpa9vIHb5lSR7bImvV+nzdJLVROLR+jZduPujqQeNkumV/DzZ9fR0hXxfKpv6WKIy5YQ3BaLdL5jThV7u3zcOHtcgso0FhR3/qTihGs/u7o+IVXGpd9IXmAnVngnWb9LhriYOWEYz368nQfmTeKjbS1oDY/+axs/jpa2TFb1rCBTso8eMMmW/LFIvxjeQJjte90cm5/eL4bl2DW2tyTPMri7zYfbv++SdPt66292+xKSdMXueVtzpzEmJpOisjCTK75ZwfUvrt/nm9bbNXt46O1abppdSWGmk65AqFcSsKvOGMW/tu4xJuJzJw4DMITBtmY35QUZtHn8nD+xhJ89s4bb5lT1Uk1d98L6hMIh8b+VLxROyCoZU3FceGIJDe2+hP98S8+pJM2u8QZCZDtNPDhvEmENl//v6l7Xu2NOFeHWLoZm2FlVF32T+7KdHS1dFGTa8Qcjb94zJxQn5NC55bzxOG1mclw21m7fwx+jScnuXbGZ2+ZUGRPxY+/W8rNvH0dDkrz2OS4bvmAYfzDEyKEu/nzZZHa2eijIdPDN0bl0eGNvuja0hr1dAZwZZpw2C12BEG2eIL84eyy1TR3saPXyZZuHU0cXYjOb8Pggw2FmQkku79REfpuaxg7K8tL40wd1bG7s5MZZlVw/cyw2s4n1X7b3msB+c9543t2616jYNXPCMIak2Y2qXz3f1mNjv+DfRpLWI8d/X6sVjz+IPxDolal06TmRfEanjs5P+F4yj5v46N2X1uxkwZQySnKc7GyLlIeMGcrvXrGFRaeXJ3U7beny8/nuDtLtZtAYKqQ0m5nCrEh1sZ4Tf0uXnzSbmf+Zezzrd7Vz3DFZCQb4mPrntxdUcfP/fd4rv9KNsyoxmTQPv1PLkukVfPZle4L655gcJ0umVzAsx9mr6tkh0CAbpFQQKKVmAHcDZuAhrfUtPY7bgceBSUAz8B2t9bZD2QeTSTGjspAxi6fS2OHFhOKnz65J8KCILXn7w7Acf42+fInX72rbr9rqiz3JbR+jfzQVW5ybWuzYPSu3cNucKs6+523jnDvbvYYQgL7ftLSO6HKDYfiPJ1Zx+5yqhPNfeGIJO1u9vSaR/zztWN7cvAeH1UR69O0zFMZY/np8ydUBsTiuWL8XTCnDaTUZqqjYsbv+vplFp5czIjeNn/QYi2UvbWDR6eUsf7OGG2dV8vSq7Zx8bF7S621u7MBpNfcSJkumV/BlSxe/fnVTUv3uz59bx9Vnjoq+JZfw/Uc/5JdnjzEEXbz6Y3NDO7s7/L3UCPNPKeWyx1clXDOWoC0mpJOtZG6cVcl9/6jBH9RJ/dhjKQ4euWRSgoto7PiSb1Ww4LHVXB81glbkZyQN4PrdxRONiQkik3lXIGS0S2ZYXfbSBh6YNwlvIJww8fW1yinMcuDxhXgoulL0+INk2C10+gJsbuzk1NH5Cd+L1Sl+9Psn0tjuY3Njp1HQ5tnV9YbHz2VTyxL6HuufPxRmZ2tXr0k5Jkx+efZxCStjiBSfeWDeJHa3ednr9rPo9HK8wTBaw+//WcuPo+kp3Pt4plu6/Lis5miJTT+56Xae+Wg7JlMeC08t45hsB3e+sdkYl2tmjMHjD1E1PIsdzV0Jto1gOEx2tM7zoSBlkcVKKTNwH3AWMBa4SCk1tkezBUCL1rocuAu4NRV9iXminFw2lPxMOxeeGDGSQbefb0GmvV9SHMRfIz7SMr4vf11Vv9/r1+1NHsG5fa+bLn8o6bFte9wJ5+x5jmT9WTytguc+rufy0441jJBf7En8XnEfUaC+UPd/sC5/JNJyT2f3W3HsrSyeZLpQpegzEjMv3U4wrPs85g2Euf7FDcz/Rplx/p7XC4X7vodYqoC+9LsFmU7mf6OM66NvsqW5aYagi7VZ9vIGhuem9RrfZBG6sXQMMycMM4R0MpXK9S9uYOaEYUmPxffbbDYlPW4xd1fpCmvo6mMCi+n943+b/IzulBP7smXct3ILhZkOFp5aZmT7vGn2uITna9msSuqa3bR5Aqyqa2PxXz6JeBz9+RPu+nsNt8+pIsdp5eZzE793xekVWMyQ7bLy8DvdrrExIXHbnKo+o6VH5WcAkJ9pN/p219zjeWrVdna1eZOORV2zh4Y2Lzui2UPv+Ntmlq+s4b43a2jp8rO9xcPylTVkOpM/09lOKwumlPHIu1/Q7gnwo798ysV/+IBXNjSQZrMQCsMT723jqjMjUc4LppTxx3e/IBTWrNnRxtKXPuOeFTUsX1nDPStquPn/PieU2MWvRSpXBCcBNVrrWgCl1JPAbOCzuDazgRuin58BliullE5hcEPJkDQqCtITpGtFQTolQ9L44IvmpA/1oSwJF2+83tXm5Yn3I7r2kiFO0mwWfvXK5wmrlb6un2ZLHlHpslnIy0iez9wXDCecs+c54v8TefxBdrZ6jDctf6h7svWHEnPJ9zWJePwhFkwp46lV2/nVueMBKMpyGt/9w1tbexnIkulCdTQXTdL7tVswm5K/abqiGSFj6od9qRR+PL0i6T3EpwpIdo00m5mmOJVPQ3tyr5XGdl/C7z2qIB2TSh49G58zCPadNiG+XbJ+u719TPDR47Hx3eP2Jb2/po7uKOfYbzM0zWqMY1/jYrOYWLuznT99sI0lcbV302yKxy49iaZOHzkuK3e9sYlVdW0smV6eVFWzpbGDe1bUUF2axcOXRIrV56XbCYWDhMKRiOxf/ft4/jtqW3FYTVx+Wjm//dtG/EHd661/2axKjsl2oNEUZDkIh8OEw4rcdKuRaruvsSjKdrK3y891M8cmOEPEfPwBrGbVy0X1yjNGUdPYES1CP45H/lVrnPOn3x7NjS9/RkuXnxtnjzNiCRzWiCt3U2fEPpXsN2zq9B4yu2YqBcEwYEfcdj0wua82WuugUqoNyAX2xDdSSi0EFgKUlJR8rU6ZTIppowsoG5reK2gpFSkOetLzGrvavDz8Ti2PRQ2yMT3g/q5fkGnv9ZDHVjYlQ/ZtF4md06TodY7vVJfwm1c+B2DeyaVGf4akdRvzek6oLV3+pOOWl243dJ85rogbXGVRplHKcO3Odmwfb+fhS06ktctPYZaDvW5/gi40ljrBajYlvd9spwWLWSU9Vt/SZZzHabMYE3FMFWI2wa2vbWRXm7fviTBaFaqnbjh2jUBYJ+ibnVZz0vPYreaE3/u2OHfOnm1j3inxxw60Xc9+W83J0yZblKmX4P3Jt0YlxILcNHscBZk2Fk0rx2HpTiedk2bjV69Eir3E3tbjPd9unD2OY7Id0YA4K9v3uvmyzYfW8PLandw0exwNbV6GuCxcdeYY9nRGqneV5KYlTOg3nzuOY4emUZGfQUGmnS9b3NTs8bBZdVCel85v3+g21i+/eCKtXf5IBbJwmNnHDzP0+w9fUs2XrRFBZDUrfvL0p8ZkG3m+/AR2hxiW4+TBeZPwh8K96gFcecYoPv+yjVte3URprpPff28SXb4geel2SoaYGZFbRUOHF6fVQlGWI+FFszjbidmsePT7J5JhV/xsxnE0tPsozLTT2uXn/EnFmBQUZNi498IT2NUWiTrPTrOyqy1yzlTPSymLLFZKzQFmaK0vi27PAyZrrRfFtVkfbVMf3d4abbMn2TkhtWmo+9tG0PMawAFfv2dREZOCCcVZTBtd0CttcSCkue6FdcbDH3+9+HNUFmUanjjQnSfmhOHZFGbZ+XRHu/GfozTXydKZlXiDIYoyHWzd4+7lBluYZeXDL9qoyE/nrMoiwyU25ha6u81LYbTaUrLAMG+g22soYpAeTU1Tp3G/o6JL/6JMO1v3dFHT2NkrmrSly8+Ns8bx9Ko6w+d/6TmV/OWDSITqotMrjHQIPV1ib5o9juVvdkdz3nb+BPZ0+tjbFcCkYOTQNB595wtsFsXc6hKuf3EDo/LTuWhyaY+iIhEbRc/r2yyqV8rkA7cRRN5Ck9kI4vtdXZrFd04s5bo4D5ibZo/DEwji9kUmv589s9b4TeN99a0Wxa9f6Y7s/fW/j8dlM5PltLCrzWd4QFWXZvGTM8aw1+0nP8MOKsSa7e04bGYcFrOhNosJifwMGw3tPo7JsmOzWGjs8FGQacdlhQ6fZk+nj6HpdrQO0+mLvGiU57sIhRQN0bbDcszs3BuiqdNHmt3C0hfXG/18aP5EbBYLDdE0HnaribpmDwWZdkYVprF5t5uG9sh5TAp2tnrJy7CzrbGVsoIc2j0BAqEwmxo6jOdpTEEGBZkOvmzzRCZgFcbjjxS0GVOYxqa4c1b0uEa208ymhojjwdjCNNKdjoRnfX9R9IdqXtpXZHEqBcEpwA1a629Ht38BoLX+TVyb16Nt3lNKWYDdQN6+VEOprkdwqFMcHOw1Dub6B/MgHcj1CjMdbPiyg6v+mlxIvV3TSIcnhNsfNNRKmojnS3mBK+HhL8g0s3GXp9dEfzD0FBij8zLY1NSRVIB0erx8Fr3+sOzIf7Sdrd5e//kLM+3YLCa27+09MQzLdmAxQd1eL4WZdoamm2nqCNHQ4aUgw0HJEDPbW0LGBOOwmtjW3EVBpoMcl5kWd6Rt6RAXvmAkk2RkBQju6ASXm26ntrGD3R1+TApOGpFtTFrFOU607u53SY6Z7Xsj5yzOdhIGvkxybFi2E5OCHS29jyX2Ozrh2sx8saer1/0XZdqxmE0Rb6ke3yvMtGO3mKhLMm7d34scGx03MZYMcRIIhdnVFrn2cYVpbIx7TsYXZeGIOhL0/L2PK8ikvs2T9LmNbzssx4nDYo6kzM5wcEyGg/W72w3PvwlJ0qb0jOGJZGGtMLzYrj2rnAnDhxqCp6cAGV2YRpbz0L2R749DMS8NlCCwAJuB6cBO4CPgYq31hrg2VwDjtdaXK6UuBM7TWs/d13mlME1qOVRC6mig5/2W5LjY3tJlCM1QGJo6I8eK0u3RycdHUZYDs0lRH50Yxxam83lDZJVTnO0kpLVRVnJcYSZfdngPerz3tara17GDud+j/fc9GMFzNDAggiB64bOB/yHiPvqI1vpXSqkbgVVa6xeVUg7gCeAEYC9wYcy43BciCARBEA6eAUs6p7V+BXilx77r4z57gQtS2QdBEARh30iFMkEQhEGOCAJBEIRBjggCQRCEQY4IAkEQhEHOEVeqUinVBNTtt2FqGUqP6GfBQMamb2RskiPj0jeHcmxKtdZ5yQ4ccYLgcEAptaovN6zBjoxN38jYJEfGpW/6a2xENSQIgjDIEUEgCIIwyBFB8NV4cKA7cBgjY9M3MjbJkXHpm34ZG7ERCIIgDHJkRSAIgjDIEUEgCIIwyBFBEEUp9YhSqjFaLCe2r0op9Z5Sap1S6iWlVGaP75QopTqVUlfH7ZuhlNqklKpRSv28P+8hFRzsuCilJkSPbYged0T3T4pu1yil7lFKHfH5fQ9mbJRSVqXUY9H9n8fqc0SPHVXPDIBSarhS6k2l1GfRZ2FJdP8QpdQbSqkt0X9zovtV9LmoUUqtVUpNjDvXJdH2W5RSlwzUPR0KvsK4fDc6HuuUUu8qpariznXonhuttfxF7CSnAhOB9XH7PgJOi37+AXBTj+88A/wVuDq6bQa2AmWADVgDjB3oe+uvcSGSzXYtUBXdzgXM0c8fAicDCngVOGug762fx+Zi4MnoZxewDRhxND4z0XssAiZGP2cQqU0yFrgN+Hl0/8+BW6Ofz44+Fyr6nHwQ3T8EqI3+mxP9nDPQ99eP4/KN2P0CZ8WNyyF9bmRFEEVr/RaRmgjxjALein5+Azg/dkApdS7wBbAhrv1JQI3WulZr7QeeBGanqs/9wUGOy5nAWq31muh3m7XWIaVUEZCptX5fR57ix4FzU975FHOQY6OBtGjBJifgB9o5Cp8ZAK31Lq31x9HPHcDnRGqUzwYeizZ7jO7nYDbwuI7wPpAdfW6+Dbyhtd6rtW4hMqYz+u9ODi0HOy5a63ej9w3wPlAc/XxInxsRBPtmA92DewEwHEAplQ5cAyzr0X4YsCNuuz6672gj6bgQmQS1Uup1pdTHSqmfRfcPIzIWMY7WcYG+x+YZwA3sArYDd2it9zIInhml1Agixac+AAq01ruih3YDBdHPfY3DUTs+Bzgu8SwgsmqCQzwuIgj2zQ+A/1JKrSayjPNH998A3KW17hyojg0wfY2LBZgCfDf6778rpaYPTBcHjL7G5iQgBBwDjASuUkqVDUwX+4/oS9OzwI+11u3xx6Krw0Hpv36w46KUOp2IILgmFf1JaYWyIx2t9UYi6g6UUqOA/xc9NBmYo5S6DcgGwkopL7Ca7jdAiCzjdvZbh/uJfYxLPfCW1npP9NgrRHTo/0v3khaO0nGBfY7NxcBrWusA0KiU+hdQTeSt7qh8ZpRSViKT3Z+01s9FdzcopYq01ruiqp/G6P6dJB+HncA3e+z/Ryr7nWoOclxQSk0AHiJiV2uO7u5rvL4SsiLYB0qp/Oi/JuBa4H4ArfVUrfUIrfUIIjWZf621Xk7EUFihlBqplLIBFwIvDkTfU0lf4wK8DoxXSrmiuvDTgM+iS952pdTJUW+h+cALA9D1lLOPsdkOTIseSyNiEN3IUfrMRH/nh4HPtdZ3xh16EYh5/lxC93PwIjA/6j10MtAWfW5eB85USuVEPWnOjO47IjnYcVFKlQDPAfO01pvj2h/a52agreiHyx/wFyL62wCRN9sFwBIiVv3NwC1EI7F7fO8Gol5D0e2zo+23Av890PfV3+MCfI+Innw9cFvc/urovq3A8mRjeaT9HczYAOlEPMw2AJ8BPz1an5noPU0hot5YC3wa/TubiCfZCmAL8HdgSLS9Au6LjsE6oDruXD8AaqJ/lw70vfXzuDwEtMS1XZWK50ZSTAiCIAxyRDUkCIIwyBFBIAiCMMgRQSAIgjDIEUEgCIIwyBFBIAiCMMgRQSAI+yHq2/6OUuqsuH0XKKVeG8h+CcKhQtxHBeEAUEqNIxIHcAKRiPxPgBla661f4VwWrXXwEHdREL4yIggE4QCJphRxA2nRf0uBcYAVuEFr/UI0kdgT0TYAi7TW7yqlvgncRCQ4aIzWelT/9l4Q+kYEgSAcINHUEB8TSST3MrBBa/2/SqlsIvUWTiASNRrWWnuVUhXAX7TW1VFB8H/AOK31FwPRf0HoC0k6JwgHiNbarZR6CugE5gLnqO7qdA6gBPgSWK6UOp5IttH4N/8PRQgIhyMiCATh4AhH/xRwvtZ6U/xBpdQNQANQRcQZwxt32N1PfRSEg0K8hgThq/E68KNoNkmUUidE92cBu7TWYWAekZKCgnBYI4JAEL4aNxExEq9VSm2IbgP8DrhEKbUGGIOsAoQjADEWC4IgDHJkRSAIgjDIEUEgCIIwyBFBIAiCMMgRQSAIgjDIEUEgCIIwyBFBIAiCMMgRQSAIgjDI+f8BwMhYRHsWUHUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = scatterplot(x=\"Year\",y=\"Price\",data=df_copy) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "4b625dd6",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy['D'] = (1/(((2021-df['Year'])**.5)))   \n",
    "#this feature essentially calculates a value based off how old the car is, the .5 is the rate of how the price decreases\n",
    "#as the rate of decay gets bigger (.5), the price gets lower. I chose .5 as the corresponding graph is the closest to a linear graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "a84cbbb2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAERCAYAAAB2CKBkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Il7ecAAAACXBIWXMAAAsTAAALEwEAmpwYAABVZElEQVR4nO2deXxU1d3/P+fOvmdfWBKIhC1BFCNa9wIi+lOgrtWqVfHhsdXCI2rtioK2T62tPlptLda9tVZtq8jj0las6KNWsYoQUIiRsIXsmUxmX87vj1kyd+ZMMoN3MpPM9/168SIzc+fek5uZ8z3nu3y+jHMOgiAIonCRcj0AgiAIIreQISAIgihwyBAQBEEUOGQICIIgChwyBARBEAUOGQKCIIgCZ0waAsbYo4yxTsbYjjSOrWGMvcEY+4gx9glj7JzRGCNBEMRYYUwaAgCPA1iS5rE/AvAs5/xYAF8H8OtsDYogCGIsMiYNAed8C4De+OcYY0cxxl5ljH3IGHuLMTYzejgAa+RnG4BDozhUgiCIvEed6wEoyAYA13HO9zDGTkB45b8AwO0A/sYY+w4AE4BFuRsiQRBE/jEuDAFjzAzgJADPMcaiT+si/18K4HHO+S8ZY18B8BRjrJFzHsrBUAmCIPKOcWEIEHZx9XPOjxG8tgKReALn/F3GmB5AGYDO0RseQRBE/jImYwSJcM4HAHzBGLsIAFiYuZGX9wFYGHl+FgA9gK6cDJQgCCIPYWNRfZQx9kcAZyC8su8AcBuAzQB+A6AagAbAM5zz9Yyx2QAeBmBGOHD8Xc7533IxboIgiHxkTBoCgiAIQjnGhWuIIAiCOHLGXLC4rKyMT5kyJdfDIAiCGFN8+OGH3ZzzctFrY84QTJkyBVu3bs31MAiCIMYUjLG2VK+Ra4ggCKLAIUNAEARR4JAhIAiCKHDIEBAEQRQ4ZAgIgiAKnDGXNUQQRPYJhTj29jjRMeBBpVWPKaUmSBIb+Y3EmIQMAUEQMkIhjlebD2PNsx/D4w9Br5Fwz8XHYElDFRmDcQq5hgiCkLG3xxkzAgDg8Yew5tmPsbfHmeOREdmCDAFBEDI6BjwxIxDF4w+h0+HJ0YiIbEOGgCAIGZVWPfQa+dSg10iosOhzNCIi25AhIAhCxpRSE+65+JiYMYjGCKaUmnI8MiJbULCYIAgZksSwpKEKM1edik6HBxUWyhoa75AhIAgiCUliqCs3o67cnOuhEKMAuYYIgiAKHDIEBEEQBU7WDAFj7FHGWCdjbEeK17/BGPuEMbadMfZOXLN5giAIYhTJ5o7gcQBLhnn9CwCnc87nALgDwIYsjoUgCIJIQdaCxZzzLYyxKcO8/k7cw/cATMrWWAiCIIjU5EuMYAWAV1K9yBhbyRjbyhjb2tXVNYrDIgiCGP/kPH2UMfZVhA3BKamO4ZxvQMR11NTUxEdpaARBEHlBttVgc2oIGGNHA/gdgLM55z25HAtBEEQ+MhpqsDlzDTHGagD8BcAVnPPduRoHQRBEPjMaarBZ2xEwxv4I4AwAZYyxAwBuA6ABAM75QwDWAigF8GvGGAAEOOdN2RoPQRDEWGQ4NVilKr+zmTV06QivXwvg2mxdnyCII4c6lOUPUTXYeGOgtBpsvmQNEQSRJ0R90ufc/xYuffhfOOf+t/Bq82GEQpSnkQtGQw2WcT62/rhNTU1869atuR4GQYxbWrsGcc79byWtQF9edSqJ0OWI6A7ty6jBMsY+TOV+z3n6KEEQ+cVo+KSJzMi2Giy5hgiCkEEdygoPMgQEQcigDmWFB7mGCIKQQR3KCg8yBARBJEEdygoLcg0RBEEUOGQICIIgChwyBARBEAUOGQKCIIgChwwBQRBEgUOGgCAIosAhQ0AQBFHgkCEgCIIocMgQEARBFDhkCAiCIAocMgQEQRAFDhkCgiCIAocMAUEQRIFDhoAgCKLAIUNAEARR4JAhIAiCKHCyZggYY48yxjoZYztSvM4YY/czxloYY58wxuZlaywEQRBEarK5I3gcwJJhXj8bQH3k30oAv8niWAiCIIgUZM0QcM63AOgd5pBlAJ7kYd4DUMQYq87WeAiCSJ9QiKO1axDvft6N1q5BhEI810MiskguexZPBLA/7vGByHPtiQcyxlYivGtATU3NqAyOIAqVUIjj1ebDWPPsx/D4Q9BrJNxz8TFY0lBFDezHKWMiWMw538A5b+KcN5WXl+d6OAQxrtnb44wZAQDw+ENY8+zH2NvjzPHIiGyRS0NwEMDkuMeTIs8RBJFDOgY8MSMQxeMPodPhydGIiGyTS0OwEcCVkeyhEwHYOedJbiGCIEaXSqseeo18atBrJFRY9DkaEZFtspk++kcA7wKYwRg7wBhbwRi7jjF2XeSQlwG0AmgB8DCAb2drLARBpM+UUhPuufiYmDGIxgimlJpyPDIiW2QtWMw5v3SE1zmA67N1fYIgjhytmmHlaXUIcUBi4cfE+CWXWUMEQeQhe3ucuOHpj2RxAr1GwsurTkVduTmHIyOyxZjIGiIIYvSgYHHhQYaAIAgZFCwuPMgQEAQhg4LFhQfFCAiCkCFJDEsaqjBz1anodHhQYdFjSqmJqorHMWQICIJIQpIY6srNFBwuEMgQEARB5DmhEMfeHic6BjyotCq/QyNDQBAEkceMhgggBYsJgiDymNEQAaQdAUEQRB7TMeDB9Aozrj3tKLi9ARh1ajy85XN0OjyKxXDIEBAEQeQxE4r0uPSEWnz3+W0x19Bt5zWg2qZcXQe5hgiCIPKYfqcf615qlrmG1r3UjH6nX7FrkCEgCILIY9pTSH4cHlBO8oMMAUEQRB5TbTMIJT+qyDVEEGOLsdYMfqyNdzzTUG3FncsbZZIfdy5vREO1TbFrULCYILLMWGsGP9bGO95RqyUsnzsR9RVmHLZ7UGXTo6HaBrVauXU87QgIIsuMtWbwY228hYBaLWHu5GKc1ViNuZOLFTUCABkCgsg6Y03fP9V4OxQMThL5BRkCgsgyY03f36hVC8dr1KpyNCIi25AhIIgsM9b0/X3BIFYtqJeNd9WCeviDoRHeSYxVKFhMEFlmrOn7l5p02PzpYfz8wrkxSYMn3mnFksaqXA+NyBJkCAhiFBhL+v41xUZ8fb5c0uDO5Y2oKTbmemhElsiqa4gxtoQx9hljrIUx9j3B6zWMsTcYYx8xxj5hjJ2TzfEQBDEy+/pc+NELO2RZQz96YQf29blyPLLCxecLYuveXmz65BA+3NsLny+o6PmztiNgjKkAPAjgTAAHAHzAGNvIOd8Zd9iPADzLOf8NY2w2gJcBTMnWmAiCGJnhspzGwo5mvOHzBfHCJ4ew9sUdsR3a+mWNWH70BGgVCuBnc0cwH0AL57yVc+4D8AyAZQnHcADWyM82AIeyOB6CINKgwqwTZg2VmXQ5GlFh88khe8wIAGGjvPbFHfjkkF2xa2TTEEwEsD/u8YHIc/HcDuByxtgBhHcD3xGdiDG2kjG2lTG2taurKxtjJQgigicQxOqF8qyh1Qvr4Q0o644g0uPwKNR15DpYfCmAxznnv2SMfQXAU4yxRs657LfmnG8AsAEAmpqaSPSEGHNku+eskuzvc+P91h789orj0O/0o8ikweNvf4G6MjMaEpdyRNapjtShxBsDvUZCpVW5OpRsGoKDACbHPZ4UeS6eFQCWAADn/F3GmB5AGYDOLI6LIEaVUIhj82cd+OSAHSEOqBgwZ5INC2ZU5qUxqLBqsbixGv/51IeyRihlFk2uh1aQzJlgw/pljUkxgqMnjA3RuQ8A1DPGpiJsAL4O4LKEY/YBWAjgccbYLAB6AOT7IcYV+3qd2NMxiA1bWmNf5NUL6zGt3IwpZfkXfA2FmLARyu9XnJDjkRUmWq0Ky4+egLoyU2xHefQEm2KBYiCLhoBzHmCM3QDgNQAqAI9yzpsZY+sBbOWcbwRwE4CHGWM3Ihw4vopzTq4fYlzRMeDFfa/vkU2s972+B/NqivPSEHQPeoU+6e5Bb45GRGi1KjRNKcna+bMaI+Ccv4xwEDj+ubVxP+8EcHI2x0AQucbpCwgnVpcvkKMRDU+0EUqiT1rJHrlEfpHrYDFBjHtqS0zCibWmJD+1hmaUm/HzC45GS9dgLKZxVLkZM8otuR4akSVIdI4gsszUMrHo3NSy/DQELT2D6Br0YsOWVjywuQW/3dKKrkEvWnoGcz00IkvQjoAgssxYE52zu/24+7XPZDGNu1/7DI98synHIyOyBRkCYswxlnLyo4wl0TmnNyiMaTi9VFA2XiFDQIwpxmo/3bFkvMw6lTCmYdJRY5rxCsUIiDHFWOynGzVe59z/Fi59+F845/638GrzYYRC+ZkprVOrhBITejUZgvEK7QiIMcVYVMZMZbxmrjo1L8dcYtLCpFVh5Wl1CHFAYoBJq0KJSZvroRFZgnYExJhirPX/BcZe83rGwvd0eoUFk4sMmF5pgV4jgeWnJ4tQADIExJhirPX/Bcae8eoa9KLPFcDNz2/DrX/Zjpuf24Y+V4Aqi8cx5BoixhRjLRUTGDJeiQHufDVeWpWEe/+xW+bKuvcfu/GnlSfmeGREtiBDQIw5lErFDARCaG63o93uQbXNgIZqK9Tq7GyStWom87lr1flruFKlj7oUbo9IpE+2s87SMgSMsekAfgOgknPeyBg7GsBSzvmdio2EIEaRQCCEF7YdjPXmjTZoXz53ouLGYG+PE3ds2olzj54IxoAQB+7YtBN1ZflZV2DWq8XpowqqXRLpMxop0+nuCB4GcAuA3wIA5/wTxtjTAMgQEKOOEquj5na7sEF7fYUZcycXKzreHqcXlzTV4P7Ne2Jf5FUL6tHr9OalIfAHQvjB2TPR7fTFtIZKTVr4g/mZ7jre2dvjxF2v7sKKU+piAfu7Xt2FmVUWxT4/6RoCI+f8fSZPG8hP6URiXKPU6qjdLs7kOWz3YO7kFG86QrQqCX/auk/2Rf7T1n04eVqpshdSCJcvAF+Qy/on3Lx4Btx++srngtFYSKRrCLoZY0ch3DMAjLELAbQrMgKCyIC9PU48+vbn+PmFc+H2BmDUqfHo259nvDpKJbVclQWpZV8wJPwi+4Khkd+cA0w6NX7xN7nW0C/+9hmevpYa0+QCrZRiIXGUcguJdA3B9Qj3DJ7JGDsI4AsAlys2CoJIE7vbhwvm1eC7z28baqN4bgMG3L6MztNQbcWdyxuTYgQN1cq1/4uilaSYEQDCE+v9m/fgT/+Rn1k4qRvTZHaPCWVweP3ChYTD61fsGmkZAs55K4BFjDETAIlz7lBsBASRAcEQsG5TQhvFTZm3UVSrJSyfOxH1FWYctntQZdOjodqWlayhXpdPOLH2uvJzYjXpxMFiI2kN5QStSiVcSDx59XzFrpHWp54x9lPGWBHn3Mk5dzDGihljFCgmRh0l2yiq1RLmTi7GWY3VmDu5OGupo0atWlhQZtTmZ/a2WasWag2Z83S8451UHe6cCna4S/eTfzbnvD/6gHPeB+AcxUZBEGkS9e3Hk+9tFCutOuHEWmnV5XhkYnpdPjz5bhtWnFKHGxZMw4pT6vDku23oy9MdzHinJtLhLh6lO9yla+JVjDEd59wLAIwxA4D8/BQT45pZlRasX9aItS8O+fbXL2vErEprroeWkpoSE+orzbKCsvpKc962qjTp1Ohz+fDgGy2x58J1BLQjyAVTy0x44LJj8ckBeyydd84km6Id7tL9y/4BwOuMsccij68G8IRioyCINGl3uGHWqfCLC+fC6QvApFVDksLP15bmX04+EK6EXjCjEnVl5jEhi+H2BfDDc2aha9Abm3jKzDpKH80hvoA8nfeei49R9PzpBovvYox9AmBh5Kk7OOevKToSgkiDDrsXa57dlhTIfPLq+XlrCOLhY6Amq8ioRceAVzbxrF/agGIjyVDngtGQMU97r8c5fwXAK5mcnDG2BMB9AFQAfsc5/5ngmIsB3I5wjcI2zvllmVyDKCy6nV4UG7U4f96kWE71nz88gG5n5sHi0eoaNta6qgVDHGs3yjOz1m5spjqCHDEaPTiGNQSMsbc556cwxhyIFJNFXwLAOecpHbOMMRWABwGcCeAAgA8YYxs55zvjjqkH8H0AJ3PO+xhjFV/idyEKgIk2A64+eQru+fvu2KS65szpmGAzZHSe0Zycx1pjmk6HODOry0Ey1LkgKmOeuAtWUsZ82Kwhzvkpkf8tnHNr3D/LcEYgwnwALZzzVs65D8AzAJYlHPMfAB6MZCGBc955ZL8GUSgEQjxmBIDwBHXP33cjmGHbxy+6xZPzF93Kt7wca41pzDpxuqtJR8HiXDAaPThG/MtGVvbNnPOZGZ57IoD9cY8PAEjcW06PXOP/EHYf3c45f1UwhpUAVgJATU1NhsMgxhNKFWe19TqF59nX68RRFcqu0iutetSWGmLqowDw0raDeduYRqNmWL2wHve9PlTJunphPTR5LJ09nhmNHhwjGgLOeZAx9hljrIZzvk+xKw9dvx7AGQAmAdjCGJsTX7MQGcMGhCUu0NTUNAbCbUS2sOo1wm2yVa/J6DwmbYrq2SykSNYUG/GdBfVJchY1xUbFr6UIHLDo1bJ0V4teLXcOE6OKUj04Up4/zeOKATQzxl5njG2M/hvhPQcBxOs4Too8F88BABs5537O+RcAdiNsGAhCSIVFXJxVYcmsrMWkUwnPY8qCjMK+PpdQ8npfn0vxaylBmUmHUIKrLRTiKDNR6dB4Jd3lz4+P4NwfAKhnjE1F2AB8HUBiRtALAC4F8BhjrAxhV1HrEVyLKBAYA0xalWy1atKqMm6s7vYHYdTIz2PUqODxK9+Fq2PAI8x06hhQLutDSaaWm9Ha40S3c8jdVl1kwNQ8HGuhkNMOZYwxPYDrAEwDsB3AI5zztKpKOOcBxtgNAF5D2P//KOe8mTG2HsBWzvnGyGuLGWM7AQQB3MI57znyX4cY7xzq9+A3b7bGJtVgCPjNm62or7RgSln6E1WpSYdH3/ki5rcPhoBH3/kCj12lnJBXFItejSu/Upvkc7fo8zf4mmhYMzW0hHLkQ4eyJwD4AbwF4GwAswGsTvfknPOXAbyc8NzauJ85gDWRf0QBkulKR6eWhPIHGlVmgnFTSk24dcmsUWko7/IFY0YACLuG7nt9D5pqle2EphRjrbXmeCcfCspmc87nAABj7BEA7ytyVYLAka10HF4fVi2oT9JmH8xQm300MjGiDHrF6pGD3vyUbOgeFHfE6snT1prjnZwXlCG8GwAQc/UoclGCAI5spWPSamTdmjgPd2v6xYVzM75+tjMxotSWmITpo/kqOscAbP70sKwL3BPvtOL4Kfm5gxnvjEZB2UiGYC5jbCDyMwNgiDwesbKYIEbiSFY6Tp8f15w0FT2ucGN1tQRcc9JURbXZlaa2xIibFs9AS+dgTMTtpsUzUFuSn+mjbn9A2AXOE8jfezyeiRaUZdONOawh4JxTSyIiaxzJSqfcosfuDqdMEG3NmdNRbs7f1Mb9fS4c7HPLxrx6YT3297nyMhNHr1Fj3aZ/J3WBe/Ia5QPpxMhIEsOiGRX4/YoTcHjAg2qrHnMm2Ea3oIwgssWRrHQCQY4//KtN1sj7D/9qwwlTSzK+/miJzh2yu4XB4qMn2fLSEHQ6xMJ+pDWUGwKBEDZuP5RUkLh87kTFuuqRISAyRqkJ9EgCtn0ucSAz0+5Zoyk6lypY7PQqX7OgBJOLDMJ014lFmQn7EcrQ3G4XFiTWV5gxd7IycZvsNGklxi3RCfSc+9/CpQ//C+fc/xZebT6cVImaLtGA7Yl1ZagrN484CRu1GmEj70ylIVIFqvf2KC86V2TUCkXcigyZyWKMFkadWriDIdG53NBuF8fSDtuVEy0kQ0BkhNITaCjE0do1iHc/70Zr1+CIBkWp5vWjqQjq9Ppx8+IZMjmLmxfPwKAvs5TX0aJ7MOwauv6r03DDgvC/YqMWPUfQ84H48qTq012lYJ9uMvFERiiZ03wk7plKizKpdBUWsSJouVl5RdAysw6H+j0yOQu9Rspb7Z4qq17oGqrMU7XU8U5DtRV3Lm9MihE0VNsUuwYZAiIjlMxpPpI6goYqK9YvbcTajXHN65c2orEqs0xmtQq47vRpWPdS81CK5HkNUGchT84X4Ljzf3cl3bM/rMjPjl8Dbj+e+WCfLCD/zAf7cFJdaW4HVqCo1RLObahGbYkRhwe8qLLqMKfapligGCBDQGSIkjnNR7K7OOTw4B+7DuG3VxyHfpcfRUYN/vDeF2iaUow6ffo7ksN2b8wIRK+77qVmPJGF3sddKdxZXRm6s0aLzhSVxZ15Ot7xTiAQwqbmdsoaIvIHJaUZKlK4eYZzz3QMeLD94CDe/6IvtlrdfnAwY9eU0yfO5HFloTDNohP3PjDnafDVZhAH5J+8muoIcgFlDRF5SaaZPqlQSRD2BBhOP67aFvZfP/J2Kx7Y3ILfvdWKK79SiyprZq6p2mKjMAA3OQvNYrSRjl+Jv2e+dvzqcYp3MJl2gSOUYTSyhvJzSUIUBIf6PHjy3TaZbtCT77Zh7qSilJLSwRCEqY2LZ1dldG2VimHNmdNj/Y+jFcpqlfKTs1qShB2/NFJ+rsNKTDrhDqbYqM3hqAqXaNZQ4t+DsoaInKJUQZlGw1JISqc+V6dDvDrqGvRk1Gu43e7Bpm2HZMJqD2/5HEdPsmXU1yAdBjx+lBi1KDJo4fQFYNKqITHA4cnP9FGDOhw4TwykGzT5abjGOw3VVtx94dHYE6dVNa3CTFlDxJGRagIPBEJobrej3e5Btc2AhmpryiCUkhW5Ax6/UFLaMYykdKVVj6ZaG648qU6mjJlp1lK1TY+Lj5+Mlk5H7Mt18fGTM3YxpUOxQYvPu/pw92ufxX7PW86ageNq8lPN82C/G3/b0R4OyDv9KDJp8PjbX6DYqMbRCvmkifSRJAa9Rp7OpteoSGuIyJxUE/iiGRUZ6Zgo2STDoFEJJaX/+2tzUr5nks2Ai4+vlSljrl/WiEm2zOQPQiEOhyeQJAR3pBXSw2HQqmJGAAjfs7tf+wwbrz9Z8WspQZVVj/l1pfjPpz6kOoI8YF+vE190Jwst7ut1KrZ7pb1egZBqAv/kkDgjobndLjxPuhW5gUAI2/b34dUd7di2vx+BgPw9AKBVSVhx8tRYcFgtAStOngrtMClxuzoG8OAbe7DilDrcsGAarj21Dg++sQe7OgZSvkdE+4BHGGtoH1C+srit1yW8Z/t687N5fSDEhfcmyJU3ksTIdDq8sVgWEP573PP33YqKANKOoEBINYEfTvW83YO5k5PPU2kVV+TGu2YCgRBe2HZwxF3GoDcAtz8kW+ncuGj6sJ27epziHPfeDOUPHB5x+qjDo3z6qF6jEgb7dJr8VHnvd/uF96bPlZ8xjfGO3SX+e/Qr+PcgQ1AgpKoIrkr1fIqMhJpiI76zoD5pkq+JS7tMN+/ZotPg6fflktJPv9+Gey46JuXvYdVrhTnuv8+wSrfUpBX+3qUm5TNjdBpxhpI2T9NHrXqNMA5j1eenSN54x6QXLySMOuUWEmQICoRUFcFHT7BlpGOyr8+FZ95vS2pjOK+mOBYjGC7vOX6XEQxx4ep+OBeEzx8SntsncD0NRwhB3LGsET9+cej3vmNZI0LI7DzpUGHWo9wi1xoqt+jy1uc+oViHi5vkHcrWL23AhOL81EYa7+jVKqxeWJ+k/WRUcEdJhqBAGK4iePnciaivMOOw3YMqmx4Nw+iY2N0+XHBcQhvD8xow4B4qNppQJM57rk7YZUgSy3h1b9KLq3RNGa6OJKjwQCTWEA1UP/DGniPqfTwSwRDw/b9sTxrz/37nVMWvpQQddh/WbpTLb6zd2IzfrzgBlDQ0+mjVEkpNGvziwrlwegMw6dVwef3QjBWtIcbYEgD3AVAB+B3n/GcpjrsAwPMAjuecb83mmAqZVM3a1WoJcycXC2MCiYRCwENvtsjcOQ+92SJz55i04hVMop59b6oKVmfqClZfMChMOfUHM1vJdw160dbjltUwRJ9Xmk6HB9MrzLj2tKNkNQuZ1j6MFinjRlkIpBMj4/YH0ecKYO3GnbJYmtuvXGOjrBkCxpgKwIMAzgRwAMAHjLGNnPOdCcdZAKwG8K9sjYVQjj6XT9whLG5H8EW3U1gxXF9hxlEVlthxlVbxzqHSmtoFUWrSCVNOlzRmVlmslJx1Okwo0uO6M45CKHIpxoDrzjgqaYeUL1RaxJXFlRZyDeUCrUrCvf+QZw3d+4/d+NPKExW7RjbTR+cDaOGct3LOfQCeAbBMcNwdAO4CQMuNMYA1hSCZVTcUSDTp1bGK4Qc2t+DBN1rQ5/Il7QhmVVpwx7JGmQbPHcsaMasytaT0JJsBNy2eIUs5vWnxjIzrCGZXWrB+qfza65c2oqHSMsI7M8fpDcDuDuDm57fh1r9sx83PbYPdHYBzmOyoXKLTSFi3tEF2b+IfE6OLyxdMIZA4BnYEACYC2B/3+AAAmfOXMTYPwGTO+f8yxm5JdSLG2EoAKwGgpqYmC0MlEklVbezwiFPZ4quBfX6x+8YXkH9wDw244Q0EZUFUbyCIQwPulIUyu7sc6HJ4ZSmnt5w1A7u7HGicWJT277enexDtfQ48cfV8dDrCldbv7unAnm6z4tWzdndAKHn92FXHK3odpbDoNNCrWdgnHZHECIaCMOsoaygXpMr4q1SwCj5nwWLGmATgHgBXjXQs53wDgA0A0NTURFUtWSYQCOGV5vaYtsmu9gHs63Xi7IZq2Awa4YfSFtd/d1KREb/avCcps2jx7ErZdTodXmHDlqeumZ/SENjdfmGV7iPfbMrod/SHgqguseCbj70vq1AOhJRvKN/j9GUcC8klDq8fT73XhitPqgM4wAE89V4b1p6Xf/GMQkDJHiCpyKYhOAggPvw4KfJcFAuARgD/ZOGoYxWAjYyxpRQwzi2fdgzgQJ87SX7h044BmHUqoSCZOS5rZ3KxUSgDUZMg8WxPUbjU705dKOPyptgmezObwEMhhrUvymsd1r64A09do7zmfrUt+ys6JbG7fbhgXkJm2LkNGBjm70JkDyV7gKS8hmJnSuYDAPWMsamMMS2ArwPYGH2Rc27nnJdxzqdwzqcAeA8AGYE8oM/lF0oM9Ln86HH6Y1lDNyyYhhWn1OGhN1vQ4xyaJHZ1DAgn2UQZCKteI+wJMFzhktUofk/8jiQdOhzijKVOBcv2o2gkhtvOk/vcbzuvAdosSF4rgValxrpNCa6sTc3QqPKzEroQUKoHSCqytiPgnAcYYzcAeA3h9NFHOefNjLH1ALZyzjcOfwYiV3j84lW3xx9EMMSFaZeDnqEVeboFZRVmrTDNtNycuro3ZfwhmNmOoMwsriwuyUJlsd0dkKXcch5Oub1zeWpxvVzSnaK1Zje1qhy3ZDVGwDl/GcDLCc+tTXHsGdkcC5F+H4G6UpNwkpxaaoLLF0whSTGUWphuIw1PMIjaUqOsUEZigHeYSd1q0GLzp4eT4g8nH5VZY3WzTo11Sxtw28YhF9e6pQ2w6JX/Srj9QaHxdCuY9aEklVZx+mgFpY/mDKV6gKSCKosLhEz6CEwtN+OXFx2Dm54bOvaXFx2DunIz9vc5hRNokXHINdNQbU1LtsLuDuBAnztJg2e4VbnTK65sdvoy81/3ufx4buu+sEHxBWDQqvHkO62YsGhGRudJhyKjWLsn/p7lE2adCref14Db4+JAt5/XAIueXEO5QMkeIKkgQ1AgZNJHQJIYzm6swqzq5ODUoX4PXt2e3LSkttSI2lJz7P1FRo0sLbTIqEn60AaCXCiv+7srU2cAMSYpkorp9AZwsN+Lzw47YhXSB/u9GQed04EjiIsStHvWLW0Az4KukRIMeIKQwGXpoy6vH44s3BtiZJTsAZIKMgQFwnB9BKaUmpK2nVES9d+qbeKmJfGdvfb2OHHHpp0xqeoQB+7YtBN1ZXJ5C38ghGKjFufPmxSbjP/84YFh5SKcXrF8dKbFWaVmDa78Sm1SfKLYpPxXgkEV20FFx3vbxmY8ebXyGUpKIDGGtS/tTHINZarwSijDcN9dMgRERgwnQ5247XzgsmPhC3DhVjQYAp75YJ9Ma+iZD/bJmsf3OL24/vSjYNRpYr7/mqKj0Ov0yj64ZVadcDIuM6f2RdeWiOMXtSWZ5VQzzoSZUb/PQvpoZ6oMpTwNvnalGC8Fi3NDOj1AvixkCAqEmmKj0G8fCHLc9eou2cS+p2MwaZKMbkV7XV5cc9JU9Lh8sV6/15w0FX0uL4DwJG/WqsAZw80JrhCTVu5jdrjFaapzJ6Vuyh3gQWEdQ4Bn5rZIlT7akYX00bGm3ZMqoyobvRqIkUmnB8iXhcRDCoR9fS78avMeWf7/rzbvQbvdjUuaavDI2614YHMLfvdWK8rMupRbUYNGBZc/iA1bwsf/dksrXP6grLm2wxsUukISfcwDR9AlrHtQXMfQPZhZsLjMrBPWIwy3GzlS/MEgbjs3oY7g3Ab4M0x5HS2MEfXY+PGuXlgPo5aCxblgX59L2OhpX59yrU5pR1AgdAx4hCmMGrWUJCJ3oM+VUpmzy+EVruLn1Qzp86QrqWA1iHsLDJfC6UmRiunJMBVTr2bCHZI+C13DgiHgz/9OzlBatXC64tdSggFPQKgee8zkolwPrSChGAGhGKn8jAPu5FX5s1sPJE2SUW2Tth6n8EPp9g2t4i068QRvTlAf1aiY0M2jGWYyTtVas9KW2UreYpCgVUmyzCatSoJFr/wm2aRTY+GsKlnW0OqF9Un3I1+otOpj6rFR8lkSY7yTKr5HMQIiLeKLUMrMOty0eAa++/wnMv0fkQ5On8uH2lKjfJKMTM4WvVh0zhwnC6FRMWHFsCZBUoFBElbc/nKYnsUuf0B47kybdHQPBvHdP3+S9Hs8ec181GV0ppHRqCRMiRbORdIxVVL4+XxkNETOiPRJFd9TMkZAhmCcIipCWb2wHsVGbUwCYu2LO/Cn/zgxaVW+bmkD7nplF7a22WPn02skvLzqVPS7fUKJh/64xjQqiaHKppcZkiqbHqqEOoIBtx++wFB+KmOAL8Dh8KT299tdfqHb4qgMt8gdAymCxQPKB4sHfT44vUH8KK4/8p3LGuH05af6qCQxLJ5ViT+tPDEiQx5uX6q0vg2RHvHxvehn/leb98j6hH9ZyBCMI+J7CJSbdUlFKPe9Hv4wRbf8Hn8IB+1u/PFfbTL/db/LKzMC0WM7HR4UGTTCDmHxvX6DIeB//rE75oaKPv75BfJ+wFaDGt86vQ7dzqEMpG+dXjdsjKDMrIvtToCw8dCqGUqH0ScSUW3T4dqTJ2NRw0R0RYrm/t58EFXDdEc7UlRQ4Vdx/ZEB4Fdv7MHdFyjfH1kJQiGOv+3qyGolK5E+qeJ7HQMUIyASCARCeGHbwdj2cdXCacIVL4v7Hus1EsrNOtg9flmFrVWnSpm33D3owdePr0lyzXAMreztbp/wg2t3J66AOZy+YJLc9XCoGMN1p09LiiuoWWYTVJlJhelVRbgqvh/B0gaUm5XPjOl3+4XtPfuH2fnkkr09zqSU4rte3YWZVRbFJh4ifYxaccxNySwuMgTjhOZ2uyzFLMQh/PBEF3TRyUglsaQc5Z98bQ5uXjwDt8TFE6I+yT2dDryyvT22gzBqw43Y410zJSat0JCUGOWrdrefC4vT5kxMXUdg9/iFEhMbrjguo/vV6QhibUKK69pIte+U8oxONSJFRnF7zyezULymBD1Or9BwJRYEEqODLyhW3B2uAj9TyBCMExKln//84YGkD8+aM6ejttSEGxZMi7l05k8tScpR/uFft+O7Z81IUvicV1OMEpMWZ8+pTsqAKTYNBYt9gSBuXTIToRBilcWzq2cmSUX7AkFcNr821phbr5Fw46Lp8AZSB37dKSWyM/tSjGZB2UCKBjzDxUJyiVYlydx/QPizcvK0zBReCWUoMeqEirtnNVSN/OY0IUMwTkiUfm63e2K++087HJAYUG7W4acv70Rbj1u2yhNNUiUmXZLC54DbB60kCVfxJ9UNTRImrQZtvZ4k983EhAbzNr0mZgSi1733H7uHlXmw6lOlpma2TU4ltVyZhRhBsVFcqVtkyM9KXV8wJKwe9ym4AiXSR6MGLkno+HfHskZoFJy98zN/jciYqPRzfDXoqoXT0TDBilOmlWLhzAq8suMgblo8E3edPwd3XzgXmz89jEqrQVhh29o9mOR+CYbC/Wwvm18rq0S+bH6trHm9yx8Uum9cCSv9PpcfxUYtrv/qNNywIPyv2KhFnyv1StmoUeOWs2bIfs9bzpoBozazb4VZp8L6pfJq3/VLGzI2KOnAEcK6hGutW9oA5Kn6qEGjgioh1VelYjBoqLI4F3TYvfhxQse/H7+4Ax125XavtCMY40RrBXqcXtgMGlmTF61awuRiI6aWm+HzBbFo9oSkPsIzys1JOeN3LmvEL/++W3adsNvEgwqLTryKXzG0ik9ZWTyYXFl89clTkvoRWA2pP5beYADlFp0sNbXcooMvmJn6aJ/Lh1KzFhuuOC5ikDTwB0Podymf0hkKMfz6n/J6iV//syVvs4Z8gbDMR2IQ3xfIT8M13kn1fepxKvdZJUOQQ75s16H4WoFotk1iNs9Emx4NE4uwq2MADyakMD74xh7MqDQn5YxzztGXMCFGM4z6XGJ/d/wqvjyVaFlCiqdKYsJ+BPFGJREGKVYUF3/uTJvOayQVVjz9YXJBWRakobudXmEWVbczP9U8Xb6gUEZkuD4RRPaw6NTCxkZKVqaTIcgRSnQdim9YManYiFsiq31g6MsbzcBJlQnS5/Il5Yz/8doTUlQGh3WARpKP0GtUQumIRNdCb0pNotSuoe5Bn7CHQaaro06HV3iebEhDV1h0wi9yeRYE7pRgMGXPh/wUyRvvmPUqYWMjJTvGkSHIEUp0HYoXo3KN0LDFqtcKUxifumY+btu4TbZTONjvEVbv1pYaYwYk0aC4/UOumU6HFypBh6uuhElWr1EJjUpizCKeYqO4oUymbR8nFOmF55lgU15PR6+WcHHCF3n90gYYhvk9c0mJSbyjK87T1prjHW+AixsbKZh+TIYgRyihKBgvRtXt9Cbl7r/3eReKjFq8+3k3GGOYXmHGqdMrZCvgfldysdMTV88Xio6Vm3UI8pCwsviuC46OHVtk0OC3b7bgypPqAA5wAM9+uB+3LpklG79JqxbuPEzDBH5VEhNmLTXVFqd8jwhvMCQ8z7E1RRmdJx0c3iAejIsRAMCD/2zBz84/evg35giXz48bF01PSut1+TOLwxDK0D2Y/UZBZAhyRIVFrChYbk5/RRovDvbajsNJFbfrlzbgu3/eFksXve28Bjz0Zkvs8eqF9aiw6vCdZz6SrTY6HR7hqt/jD8Jq0ODbZ0xLal4f7/ZRSRA2mE/UWJMYYNKqZIFfk1aF4TxjLl9AWHvgznCS8vmDQleZN0PxunRweAPCaw1m2F5ztNCoVPj7TnnR4BPvtKJh4oxcD60gqbDoxJX+CroW83NvWgCoJAibf2QiSClJDEsaqvDyqlNx69kzk1I2125sxrlHT4w9XveS/PF9r++B1x9KSuGUGIut+qPNX/60dR8kicHhCeC5rWFt/bsuCKehPrd1n6yZjNMXEqaPOn3yVU3XoBe/ebMV0fT0YAj4zZut6BpM7e83atXCrCVDhknVBq1a6CozZJiGmg5FBnFlsc2Qn64Wm16Dy0+cgpZOB/b3udHS6cDlJ06BTZ+f4x3vSAz49hnTZCnb3z5jGiQFZ++s7ggYY0sA3AdABeB3nPOfJby+BsC1AAIAugBcwzlvy+aY8oV2u9gPf2xNEaaUJbuG4gXlqm0GNFRboVZLCIXCap29TnE2T7wEj+hx16AXNy6aBqN2qL9wsVEt1BMyqFXo9/iw7JhJaOl0xIqNlh0zSdZtK90G83qNSuiCGi5GoFQqXao+wl1ZqCzuSVG0l9ioJ18IgaPH6ZOlj95y1gzUlfOR30wojscfii2+4pMN1pyp3A4ta4aAMaYC8CCAMwEcAPABY2wj53xn3GEfAWjinLsYY98C8HMAl2RrTPlEquYfomYTiYJyUe2fcxuqsam5HT96YQeuPbVO6Gricd9d0eMKiw6t3oCsv/D6ZQ2YWW2WBXvVKiCIIEqNOnx2eDApx7zEOLRNrUhRtVuR0KPXpMs8RpBu05uRqEjRRzgbmTwlRrH2Ur4GX12+IF7Zfihp4mmYYM310AoSjhAumJfgaj23QSb0+GXJ5o5gPoAWznkrADDGngGwDEDMEHDO34g7/j0Al2dxPHlFOs0/YsVig16ZHjkQ1iOvKTHGjINIWygaEwCGqll//c+hx7ed2wCJISkjYe2Lzfj1ZfNkxmHNmdNRYdHD4Q0Ic8zjheJ4CMIJnid8bvVqCXXlJpnB0ajZsDsCXeRciefWZZiBYzOocMeyxljFZrRs32ZUvnrWolPj+2fPRCA4pL3UOGEmLHnaoSwQCuLChBjP7ec1IBiigrJcoJbUWLfp33JX66ZmPKFgzUs2P4kTAeyPe3wAwAnDHL8CwCuiFxhjKwGsBICamhqlxpdTov79matORWdED7+m2BgrMKuw6PFFzyBuePojPHDpscJgY3xzlXa7B0+9F3Y11ZQYsK830mfggrng4JAYw+/easFNi2fK+uauPO0oodvi4wP9SYVeG644Di6fWPQt3u1zKIXba3JCR6VBnw8D7kDSZOw0DtOYxuOHUSMPMBs1qowF3NzecHvN+PO4fQG4vcpPdr5gCH2uQFJdRZU1PydWrUqN21+STzy3v6RsuiKRPqlciz0KFiTmxZKEMXY5gCYAp4te55xvALABAJqamsaNo1KSGOrKzagrNw/bUcykEwc2n7h6fpLQ3CNvt8aaz0T97S5fEBwci2ZVhbMDIhPfxU2TYTOIW08m6ot5/GGFz+KUOeZDVcOVVnHzmIoEQTcGlVBDZbjqXotOg0ff2SlrevPoO1/g7gszk2tw+IL46SufJv0eD2ehetbtFwfPH7vqeMWvpQQ9gz5MrzDj2tOOirmGHt7yed7GNMY7ZWaxG7NMQTdmNg3BQQCT4x5PijwngzG2CMAPAZzOOc/PmvtRYG+PE4++/XmSX/b8eZPQ7xJX037WMZBUwbt6YT2efLctFkdY9cxHaOtx4/fXNiHImczdc9t5DQDj+NH/m4VOhzcW/J1SZsK7LZ144prj0ef0o8Skwe/f+wKVFh363T5hjnl8+qZew3D9GdNiev/RVFa9Rp4X2pUqYDtMfrQ7VfqoL7NUTKc3ILyniQFtJRgNrRglqbBocekJtUnpv+UZdoEjlMHl8wvTuV0ZfuaHI5uG4AMA9YyxqQgbgK8DuCz+AMbYsQB+C2AJ57wzi2PJe+xuX1JA6L+/NgfmSNvG7yyYhvWbdspcKGadGlo1wwOXHgu3PwS1xNDl8OC282aj2qbHHZuaYytnrUqNdQnb/XUvNeP318yHXqOSBX/vv/RYHD+1HP/51Iey6+m0DKaQGk+/L3f7PP1+G3550dCKfMAtLqD6yfI5st+50irOj660pF7pmPVqYY57U+2slO8RUWwSVyjH91VQiqpUktfD/J65JMgh3MGQayg3qCRpqB9B3Gd+zqTUDZwyJWt1BJzzAIAbALwGYBeAZznnzYyx9YyxpZHD7gZgBvAcY+xjxtjGbI0n3wkEOdZtGvryFRu1ODzgwXf++BE+3m+PGQFgyIWy49AArn/6I3Q5fNCogJ+9ugvlFj0kxuANhHDe0RNjucepVt/dTl9SY5pQkAtdNg53EBqVhB+cPROzqiyYXGTArGoLfnD2TGjiCiACoXCxVnze8yVNNQgkBBv1ahXWnDk9VjuhYsCaM6dDP4zcsUaS8I2EHPdvnDhFdv10UDFJGPRWMeW/EgaNSihDrWSrQSXpHBB/VjqzkFpLjIxVr4kVaN765+245fltuOC4GljHiugc5/xlAC8nPLc27udF2bx+PhKvOFpt0yMYAjodniQBtvPnTYpNVIxB+MWsKTHg2lPr8NCWsFzB2nMbsH5Tc6xy+JazZmD1wno4fUGUp0iXLDJqks7tD3Gh26R70Icqmzbs9I9PXWMMIR5/XnFM4/Gr5T5xpz+AQ/2epFTUqmH0flz+IA7bk99TnaFGUL9L7K7Jhgx1j9M3lAceF6ivXjhd8WspQXmKHUy+iuSNdxyegHCHpqQabF4EiwuFaED4rld34aLjJqO21AgGhtZuJ46ZbENtqQFtPW4ASJr8RV/Mfb1uPPJ2K1YtqEenw4N7/r4bty6ZhZbOQfiCIbyy/RBWnHIUmtsH4PIFUspGJLpnio1qXHvqVNz92meygqISkwZqKRx8/qLbKYspqOPKHFO1Zhxwy32avgAXrsqHC9j6j+A9IlILqynvB/cGQtjaZsfWto/kzyfco3zBZgg37UmM8WQjtZYYGXeKTD23Tzk5FJKYGCVCIY7tB/txoNeJ6047Cs99uB/7e924+flt+OP7+7C1rQ83LpqB7y2ZgWqbHiqGmCshWiMQ71pYtaAef/n3gdhqu8Sow2Xza7Hm2Y9xz99343dvteLC42rws1d34YHNLQiFIJSNUEtSUvm6Tq2KGQEg/KG7+7XPoFVL8ARCcLjlqZoOtx+euKYl0Uk2HpF65aAnvQrkeNx+8Xsy/lJwscRH+t0g0qcokpkVT3Q3lo/0OQOxGE/0s/LgP1vQ58xPbaTxjtWoFn5+rApKlNCOIMuEQhxfdDuxq30AezodKDJo0D7gwc2LZ+KW57eh2KjFdafVocflQ0vXIFQM+P45M1FbbMTkSMFYtP/wr78xDy5vEHt7nGAMuOC4SaiwaFFmCmfzzJ5gxbpzZ2F/pIXdb95swUXHTcYv/rYbTEKSKF24R4CUVFDWMSDW6u9y+GDRq+D0BZNcM4G4fNNgiOOWs2Yk7ShCCRVl5ZYUDWxMqVflRan6/2Y4qR4cptZhXkZnGpk+lzjro8+dn83re50+YSMdSh/NDYOeAH54zix0DQ5l9pWZdRj0Kvf5IUOQRRJrA2pLDbj+jHrc9dpnuPbUOnj8IVz5lVq4/MkTq16tglbNcO/FxyDIOYoNGnzRPYhyqwFatYR7/r4b0yvMuPSEWqx5bijT6M7ljSg2aDDg8eOak6bGJkh/gOOhN+XtEh96M9wuMXGFbTOohRk1Fr0KgRBG7F7lCwZRYtLKirVKTFqZHhEQVhK9/bwG3B5nnG4/rwHuQOqVZyAYxM8vmIOWriHX1FHlJgSCme0IKq26FBIfWZCYMGmE0t2/yLD2YbSosoqVcSutyvdqIEamwqJDz6Bc+2n90gZFYzZkCLJE1BX06eEBXHtqHf784QGce/RErN04lI1TW2rA7AlWfNjWFzum3e7Bfa/vwT0XzYXbF8J3N26XTcbSoCfW3vHa046KpZsC4Un5Ry/swIpT6vDI261YvbAeM6wWAMCAxy9c5fW5fElfesaYcLJ/6pr5cHrF/n9PnHyzTq3G9//y76SJJDH9kEHC8x8mB1FXL0otpmXSarDfLw8Wr1vaAJM2sx1BIBjEz86fg9a4WMfUMhMCIeVlqDm4UMQPLD9rIyUmlghRZcNvRoyIN8DxrEB07ntnz1bsGmQIsoCoSnjVgnpI0lAAuPlAP759xjRZrv6qBfV46r02tNs9YIzJXDbFRi3c/iBqS4wxo+EPhISTsk4txSbvDVccBwAwasXdwIqMGvzg7JnodvpiE2JfioyaHqcXpSZxRkm8pHL3oNi1lNhIw6iVsHBWlax2YvXCehiH0Q1y+YOyRvBAuBF8pk1etGoJvmBIvspa1gCtWvmwWc+gH++39uC3VxwXK9B77O0vMLXMNPKbc0D7gNhtNqXUOPKbCcVx+fxC0Tm3n1xDeY2oDeX9m/fg7gvnxibRrx03OWk1f39EWO6Rt1vBMGQ0qm16XHFibczHXFtqwI/PnR3paTANz24N7ySA8KQ8rdwUO6fHF8INC6ah3KJLqfRpM2rQHef/LTaKZSfKzXr0u334/pKZ6HENGY4SoxYDcVo/E2x6XH3ylNjOJSpal9gGUq2SMKFIL3MhTSjSQz1MTYBiTV44w4NvJBS9vdGCX2bBXVNp1WJxY7XM6N92XgMqrflZqVtmFkuElFL6aE7Qqce26FzBkqoNZbvdHUvL8wXEKWEqCbjlrBlQR1Q4Pf4Qzp83KTbxVdv0uKSpRrbb+PG5s+Hw+OH2BVFi1MIfCdzqNRJsxvCfuM/lR6lRE1b6jChgujx+eALBpFz+mtJGrDlzumwiX72wHhwcZp0a3oSV9Jozp8tkoAMhHntv9Pe65++78fsV8g+u3e2DRpIwvcISUx+VGGD3pA5KFhk02Ns9gEevOh7dDi/KLTr89d+Zt6q0e5NbdK5aUI8BBQNwUQJByOIzQPhxvsYIvIGAMLHAO0zshsge1KpyjBHNEOLgstx8g0aCTa9GbZkZXQ4vHr/qeICJawO+UleK/T1O3LFpZyzTJL6mIN4oAOHn79i0M7aTWHPmdOi14XSzmxfPQM+gDw9sbsGjVx2Hfk8Aa1/aKZvAg6HkvPwf/nUH/ueiOXj86vnoiiijvrr9IDoGjKi06sSTfJz/v8shdi11OeQTvEGjxsqnRo4lxKNTcTRNKcc1j38QFzhrhE6dmb/dpFUPle3H+V3n1c7M6Dzp0OfyC/WR8jVrSKdS46E3m5MM190X5KfhGu+UmcWZcmUKaj+RIciAxKrgQJBjX58LJq0aVTYddncMor3fjcmlJtx61kzs63XhiXfboFUzXHf6NPzHk1tRbNTiyq/U4pkP9glTCr/3l0/w9eNr4AvwmKz0zCpL7IOQqso4+vw9f9+Nx646HitPq4NVr4LVoMENC6bBqFXjD/9qS5rAH76yKcmff6jXiQEvx389975ssq0rM+KLHpfw+p1xqxOLXi3UELLo5R+3PpdY5dLuSj1BeoNMFnD3+ENYu3FHxjo4wZC42Uc2NPeLjRqsErTXfCpPtXucPvFuSUmRMyJ9TFq1sMBvuAZOmUKGIEL8JF9p1WNKqQlSXBf1+ABwsVGb5AP/ydca4fMH4fQF8a3ffyhb+YX4UOrm7GoLboqke0YnepUETKuw4HdbPse5R0+E2x/Ezy6Yg13tAxj0BrHhzc/xk681oq3HhfoKi3CSjaboe/wh7Olw4LmtB/Ct0+vw/t5eAMC7n/fgmpOm4qEtrbF4QrgQK4BvnV4nCxZfdmItLn/k/aTJ9qlr5qM0RUVufO6/zaDGfy2aLqs+/q9F02FNMASVVj1WLaqHVhVuuWkzqLFqUT3KTal90Urp4KgllUzbKRt+1yh9Lr8weN43jMHLJakkQvJVNnu84/QHAHBZAyeXzx95XhnIEECc5XPPxcdgSUNVzBjEB4Cv/EotBr0BXHtqHYDwl7qtxwUAMd85MLTye/jKJqw0HIU7Nu2M1Q8A4f4B0XTO7509AxfMmxQLwv67rQ9lZh0kAP9xWh18QY4NW1oxvcKc5L+9c3kj7C4/blgwDS9tO4ip5Wbce8lc7D7sSKpPuPIrtbjr1c8ADOnH7O1xyY6bXGJEsVEbMxjR36XD4cWkIn1S/GDNmdOhiwvwptIDmlCUECyWGHoHfUkrneph8tXLjqAITUS6mU1KYNGrUtZl5CMOj1iie9BDO4Jc4AtwrN24M+kzT1pDCiPK8lnz7MeYuepU1JWHG8lHA8DVNj2sBo3sS71qQT0CIQ5fUJzO2d7vxh1x6qHRiazapsf58yZBJQFHT7Jh23570uSpYkBbjwsPvNECjz+EU6dXJAlQRWsHNn1yELed14BepxcqSYpp57TbPbF00miAMjqBewLBJJ//j17YgdUL62MGI3p8qUkLu9uPIr1avjrx+mGPyxpKV0PI6QvGjED0uLUbh5c7NmpUST0YbjuvAaYMlTyrbXrh5JypeF06qCWx0mm+uoaqbDrhvUlsLESMDqmkWDLOlBsGMgQQZ/kUG7U42O/G3h4nppaaYNKqsGrhNNRXWHCLIO3zsauOx7b9/cLVqkGrjj0X1Q3609Z9Mj/s9IpjhZPF3RfOhcs79EFIFSPQqSVc0lSDb//h37Ev7x3LGnHn8gZ8tN8OANjyWScsBjXuOn8OTHo13L4A7G7xh6y21Bj7XeInW61KQlvAhQN2R8ztU2rSwqwbqiNw+4LCFWWiHtCRuHl6XF6oErfJXj96M1QN9QaCeOaDfbKA6DMf7MMxk5XTeB8aszh43pcFpVMl8EU+e4mfxeMzzMwilOFIpFgypeANQSjEYYxk2URvdHS1GB/cve/1PSg2avFfi+qFX+rPOx2oKTHix+fOjq3+o7uFg/0u2flDnOPmxTPR0umIrdidXvGE7IoEUePfL/pQTCkzJdUl/PjF8Mr+gc3htpU/O38Odh4agNMXhIqFG6akqhmwGTTYcMVx6I0UQPU7vegc9MKkFWsN+eIkHiYUiVeUE2zyFWW1TVycVjXMylOnVuHZD/fjypPqAB4Ww372w/1Yc2bqamQRLl9QGBB1+5WvLC5JpY9kyM86gg6H2G3WmQW3GTEyeg3DHcsak3p7G7TKlXoXtCGIl4WOz+C5qGmoF8D58ybhmQ/2YfXCelgNGthdPqxaOA2hSHB2y2edOGNmBWpLTdhxaADPfLAPN3x1GiosOlTZ9Pi0fQCbPmkX7gKik8+rO9phMahj541KTeg1EqaWm9Dr9GHtubOxftNO/PnDA0mCbjcumo5D/eJsnpKIrHLU4MRPzmvOnA6dWsL6pbNh1Gpi9QWhUBDtdk+sYY1eI+FH/28WJhWb4PKLV9JzJg51H3P7QsJjEnP9JcZSSBmk/oAbNCpcc0odosk9jAHXnFIHQ4auIZtBIwyIZsNd4/YHcNu5DbHgdKwyNE/z8qusYrdZpYW0hnKB0xuC3+/Fk1fPR4cjnMzScrgPg16DYtcoCEOQKiPoQL8TVr0at541E2a9Gg9dfiwG3AG4fUO+fotehUuaauCOTICXza/Fix8fxLlHT4RKAm48czoYAwa9QTAANr0GEmOyAOi6pQ2oKzfimJqiWP47EJ6c1RJw/YJp8Ac4JtoMMOnVuHHhNDz45ue4efEM9A76YHf7UWLS4reXzwMHMOAJyKpxDRoJLn9QuOo0Rgq94hvdAIlFXvJexuuXNeIfOw/JJvKH32rFLy6ai0AoiGtOmiqrLL7mpKmy7mO9LnH6YW9ClswhuwevbG+X5fI/vOVz1JQYcewwf0tvIJTUDyEUyqyOoM8pzuTpz0Imj0GjxkNbmuWCf1tacHfeFpQFha6hR7+pXHCSSJ9Kqw77enW48rH3ZTuC4XbOmTLuDUGqjKAF9eX4V2ufbLv1g7NnYmq5GRpVAA9cdiwO9LkwtcyM1c98hGtPrcO5R0/E0++3JU1yPz53Nh7Y3II+lw/3XnwMbkwIPN+2sRkPX9GEDocnNvno1BKmV5ox6PGh1+mXBT/XLW3Ag5fOw6cdDtzywicyP/2MSjOu+31yEdbDVzYluaVWL6yHVi3hhgXTMLnIINwxRAO0soDtizvw4GXzcP3TQ/GGGxdND+8YdBq4/INJriFTXGVxsVG82k4MAlfb9Dh7TnWS1tBwWUMhQNgPIVSc2eqo1CzuWVxmVr5HQK9LLOucrzECp1dc9e70Ku82I0bG4QkIW8c+958nKnaNcd+YJlVG0LZD/XjgjT244avTcN8lc7HhiuNQatGh+WC4P/DNz22DxBicXn+sa5VNr8JNi2fCEwji2lPrUG3Tw+MPV/aeP28SPP4Qdh0eEH6JPmjrhUWvwbWnTsWmTw7CGwhhZ/sAJhSZkrKAbtvYDIc3kNRLeN1LzRhMEUuwu/3QaySsPC3cTGTlaXWYWGTAT1/eiQc2t+CQPdy+Mh69RoIjRUbCtgP9smvf+4/dMGhU8KYIJMZ327Kn7FDmT3guiNd3hat77zp/Du6+cC5e33UYnkDqCScQDMViFA9sbsFvt7TC6QsiGAylfI+IYAo57UBmp0mLaIwgHr1GQnGexghSNhZSMDhJpM+h/hSSNf0kMZE2qXR/ugZ9uGx+bWyF/9R7e7HilKMwucSI/7lkLjiAfpcfFp0av73iWASCQGu3U7Z6jVcL1akl3Lx4OubVFAEJMYSz51RjcrERxQYNfvryXtmOAgvFWUD7esU+f5dP7AKy6NVoO+iEQaNCiUkLi06Nu177NNb68tmtB5L88euWNqTMSEicV8MTeQAc4vG64jKCDBqx0mlyU3qOyyON6KNunstPnAJZP+QEUk3gmeZUH06RsXR4QPmA6KBX3JjGmaeVut5gUFgr4suw5wOhDIYUysF6rXLr+HFvCCpTNNkoNWmwu8OBmxfPwIQiAyqsuphLJ+onr7SEpZ/tHj8YWNIK/f7Ne/DzC+eix+FBw0QbBjx+WbWoigFXnzIVf3hvL06oKwcHcO7RE2VukxAXZwElZjJFn+ccSZPK6oX1+N6ft6PP5cPqhfXhTlIcMSMAhIvXnny3Db+4cC4+7XBAYoDXH4RJp0rKSPjJ1+bg/td3y+6jXiPBrFfDrJPEmT62odWiRa8WBoEtOvnHzaBRo90+kORmqi1JLXfsUqh/a2WKBu2VWWhMo1OphI1pfrJ8zshvzgEOTwCP/d9e2Xgf+7+9WLe0IddDK0jMOvH3yawjiYm0mVJqwp3L5+BHL2yPm+gasa/XjQ1bWlFs1OKH58xKmuTXvrgDv7hwLjyBIDoGPNBILObfr7RqUVdmhssfhE2vgVoCOh1eGDQS9vW6kia2686Yhhue/gh3XzgXKkm+oo7WFSSuFh/e8rnw+bZeZ2xSqSk24KDdjSffbYtVAd/3etjdlZhyCoR90rsOO2K+ar1GwlMr5sPtkwefg8FgUvVyOLUyAK1KK/xQxle7ewJBmLQq2TlNWhU8CSvKQZ84KNk4zOq+aJh010yw6sUN2q0G5at9TTqVsDFNpkVwo0WFRdy9TUmRMyJ9PP4AqqxyufYqqx6esSIxwRhbAuA+ACoAv+Oc/yzhdR2AJwEcB6AHwCWc871KjkGSGOrLTbj34mOw6/AAgqFwIVO0LuCKE2uxu9MhXGXu7nTg/tdbYsbj6pOn4G/N7bhgXg1++ML2pKDxr78xTzix/eLCcDvIg/0uzKq2yiayaD/iDVccF9Gk0eDHL+5AW48bXYM+mRbRf7+8CwBivQmuPbUOD2xuSRq3JxBCe78racKOurLij3X7gvjpK58mTaz3f/1YYWvFQyl6/U4qNuK4yPv7nH785s3WWEZOMAT85s1W3HaevKNSqtqJ4ZrX96fo/9vvySzb50CfB+993o1HrzoePYNelJp1eP6DfSgxaTGzOqNTjUif2wezTi37Ipt1alk1dj5hd/tw65KZuOvVT2P3+NYlM2U9J4jRQyWp8Id/7cWVJ9XJOvndctYsxa6RNUPAGFMBeBDAmQAOAPiAMbaRc74z7rAVAPo459MYY18HcBeAS5QfC2SZPDcsmAaPf0jn/9pT64b1k3v8IbRF9Hh+fuFcfPf5bVhxSl1SZky3Q+x3jk5sT7zThhsXTkvK7rlsfi1u/fN2AMCVX6nFytPCukTtdg8eebsVdy6fg1/+7dPYqv+p99qw8rQ6HDOpSDjuGZUWtPe7MLHYEJt8Gqqt+Nmru2T6QXqNBLdf7GoJhEJ45O2hnc2Ni6bD7vGn7PVbGZfKlmpFWZ7gdrEaxO6vRHG6eJTq/1ti0uLl5g785eN22bW/ceKUjM6TDmUmLW7fuDMmFBgMAb97uxW/uvQYxa+lBCVGPW57Z6fsHj/+zhe4/5JUSb1ENqm06oSd/CrHSProfAAtnPNWAGCMPQNgGYB4Q7AMwO2Rn58H8ABjjHHOM0sKHwGnwK+s10gxuYZU7pn41XOIR1bQkVWsSOqha9ArnNii8gftdg/ufb0FV59Ui4evbMKgJwCrQY0f/HV7bIK+69XPUFtqwIYrjoPd7UeVVQ9/KIjVC6fjB38Nu7f6XD4YNCr8zz92J63671zeCJNOQuOkImzeeQjH1JTh0w4HSs0afGdBvaxI7I5ljbAZxK4WrUqSTQRPv9+Guy+Yi8nFKqxf2hiTgg67VBoxuXjIzVFlC48j/lp3Lm9EtU0e3DLp1MKgpGkY32eJUYXrz6hPun6pKTM3S12FUTjGoyqVb8do1mmxakE9fhh3rZ8sb4RFl5+ultnV1qTPyp3LG9EwQXn5DWJkakpMqK80y3aU9ZVm1JQo1+o0m4ZgIoD9cY8PADgh1TGc8wBjzA6gFEB3/EGMsZUAVgJATU1NxgNJDBj/+cNwBo0nUoTVbvfIJKGbaovx4xd3yFbPKjZUoBVNrUucQJ/duj9JEO2OZY2RjBkpNokXm3Toc3kRCIZQZtHihq/Wy4K1N3w1HAg6PODBWy3dKDVq8dInB/HAZfPg9gVgNWjwWfsATptRAZNWhUe+2YRD/R4YNCq4fH788K/N6HP5cMeyRhzqD6ui7j7swMRig8wFFQyFYNKqhJOxXiPJdgTrlzagxKyCTWfECXUYqnK06FFpCz8fpURvxrGT5ceUmlUo0Ztlf5faUgP29ch9n9U2PWrLUtcEVFj0qC314bGrjkf3oDes0MpCqMiw6rXIoMei2eWoKZmPjgEvKq06TK8yocigfPVsbakJn3cPyn5Pm1GD2tL87FmsVktYPnci6ivMOGz3oMqmR0O1Deos9HMmRkaSGBbMqERdmRmdkUZRiTL5Xxam8OJ76MSMXQhgCef82sjjKwCcwDm/Ie6YHZFjDkQefx45plt0TgBoamriW7duzWgsoqKy7y+ZibmTrWjpciWtkr3+ACRJwvo4981/nz8HDrcfG7cdxAXzavDQlhZh9ezmTw/j21+tR1u3E7WlJvhDITy85XNceVIdPL4AJhYb8MQ7rfjbzu7ISmsOJhZpoWIqdDi8KDNroVUDwRBDV6QVo8Pjh0qScNvGcOxg8ewyXHPKNHQ5vKiy6qDTSGjrcWOCTQ+JAQf6Pai06tByuA8TS63od/lRbtFhb2c/6iqL0eXwoNyixz+aD+Kbp9Ti432D2NM5OLTaqDBjWoURA+5Q7IMHFsLMKgtsBj1cbh92HHbEJtDGKguMCTnxHk8A29vtsWPmVNugF7h8+t0e7D7szGgyHnR7sDPuPbOrTDBnYQJXkmh1e7a+yAQxEoyxDznnwkyMbBqCrwC4nXN+VuTx9wGAc/7fcce8FjnmXcaYGsBhAOXDuYaOxBAAcpkJjUpCv9sHi14DjRRCICihw+FBlVUPi16F7kE/vIFwRlCfyw+TTgW9RoUepw/FRi28gQA0kgp2jx8WvQaDHj9sBg363X5Y9RoEQkEwMDAG6DUqhDjQ7fDCqFPDpJUQ4gwdAx4Um7Qwa1WYVmbCnu7wxFZi0oKDo9SkwySbAbs6BnDY7sHEYgP0ahW6nV6UmnRwegM42O9GpVWPoyfYoE3IQAkEQnhh28GYkastNeD6r9ZjbdzOI9pzYcDrTZqMGYDP4p6bUWWCLc8nW4IgUpMrQ6AGsBvAQgAHAXwA4DLOeXPcMdcDmMM5vy4SLD6fc37xcOc9UkMgIhTi2NcbnuxcvgBqSkyYWja0UgsEQtjZbocnEIBOpYYvFM6y8fhDKDVpMej1Q5IkmLUqOH1+WPRazKq04oDdnRcrv0AghOZ2e2x7n09jIwhidMmJIYhc+BwA/4Nw+uijnPOfMMbWA9jKOd/IGNMDeArAsQB6AXw9GlxOhZKGgCAIolAYzhBktY6Ac/4ygJcTnlsb97MHwEXZHANBEAQxPJQGQBAEUeCQISAIgihwyBAQBEEUOGQICIIgCpysZg1lA8ZYF4C2EQ/MT8qQUDVd4ND9kEP3Ixm6J3K+zP2o5ZyXi14Yc4ZgLMMY25oqfasQofshh+5HMnRP5GTrfpBriCAIosAhQ0AQBFHgkCEYXTbkegB5Bt0POXQ/kqF7Iicr94NiBARBEAUO7QgIgiAKHDIEBEEQBQ4ZgizAGFvCGPuMMdbCGPue4PU1jLGdjLFPGGOvM8ZqczHO0WKk+xF33AWMMc4YG9fpguncD8bYxZHPSDNj7OnRHuNoksb3pYYx9gZj7KPId+acXIxztGCMPcoY64w07hK9zhhj90fu1yeMsXlf+qKcc/qn4D+EJbc/B1AHQAtgG4DZCcd8FYAx8vO3APwp1+PO5f2IHGcBsAXAewCacj3uHH8+6gF8BKA48rgi1+PO8f3YAOBbkZ9nA9ib63Fn+Z6cBmAegB0pXj8HwCsAGIATAfzry16TdgTKMx9AC+e8lXPuA/AMgGXxB3DO3+CcuyIP3wMwaZTHOJqMeD8i3AHgLgAewWvjiXTux38AeJBz3gcAnPPOUR7jaJLO/eAArJGfbQAOjeL4Rh3O+RaE+7OkYhmAJ3mY9wAUMcaqv8w1yRAoz0QA++MeH4g8l4oVCFv38cqI9yOytZ3MOf/f0RxYjkjn8zEdwHTG2P8xxt5jjC0ZtdGNPuncj9sBXM4YO4Bwf5PvjM7Q8pZM55gRyWpjGmJ4GGOXA2gCcHqux5IrGGMSgHsAXJXjoeQTaoTdQ2cgvFvcwhibwznvz+WgcsilAB7nnP8y0gv9KcZYI+c8lOuBjRdoR6A8BwFMjns8KfKcDMbYIgA/BLCUc+4dpbHlgpHuhwVAI4B/Msb2Iuzz3DiOA8bpfD4OANjIOfdzzr9AuPd3/SiNb7RJ536sAPAsAHDO3wWgR1h8rVBJa47JBDIEyvMBgHrG2FTGmBbA1wFsjD+AMXYsgN8ibATGs/8XGOF+cM7tnPMyzvkUzvkUhGMmSznn47Ux9YifDwAvILwbAGOsDGFX0bC9vMcw6dyPfQAWAgBjbBbChqBrVEeZX2wEcGUke+hEAHbOefuXOSG5hhSGcx5gjN0A4DWEMyIe5Zw3M8bWA9jKOd8I4G4AZgDPMcYAYB/nfGnOBp1F0rwfBUOa9+M1AIsZYzsBBAHcwjnvyd2os0ea9+MmAA8zxm5EOHB8FY+kz4xHGGN/RHghUBaJi9wGQAMAnPOHEI6TnAOgBYALwNVf+prj+H4SBEEQaUCuIYIgiAKHDAFBEESBQ4aAIAiiwCFDQBAEUeCQISAIgihwKH2UIL4kjLEggO0Ip/gFADwJ4F6qfCXGCmQICOLL4+acHwMAjLEKAE8jLJJ2Wy4HRRDpQnUEBPElYYwNcs7NcY/rEK6YLRvPhU/E+IFiBAShMJzzVoSrZCtyPRaCSAcyBARBEAUOGQKCUJiIaygIYLwLChLjBDIEBKEgjLFyAA8BeIDiA8RYgYLFBPElEaSPPgXgHkofJcYKZAgIgiAKHHINEQRBFDhkCAiCIAocMgQEQRAFDhkCgiCIAocMAUEQRIFDhoAgCKLAIUNAEARR4Px/XasyOcHBOIsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = scatterplot(x=\"D\",y=\"Price\",data=df_copy) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a73ae52d",
   "metadata": {},
   "source": [
    "When exploring the correlations, I noticed engine capacity had a strong positive correlation on the price while Mileage had a negative correlation. I also noticed that mileage had an exponentially negative correlation on price. I thus decided to combine the two into the formula below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "fb5d4f06",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy['CM'] = (df_copy['Capacity'])-(df['Mileage']**0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "1a8d0784",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "plot = scatterplot(x=\"CM\",y=\"Price\",data=df_copy) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "f935ab5b",
   "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>Year</th>\n",
       "      <th>Capacity</th>\n",
       "      <th>Mileage</th>\n",
       "      <th>D</th>\n",
       "      <th>CM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.363375</td>\n",
       "      <td>0.492213</td>\n",
       "      <td>-0.295433</td>\n",
       "      <td>0.452674</td>\n",
       "      <td>0.558958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <td>0.363375</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.083738</td>\n",
       "      <td>-0.562400</td>\n",
       "      <td>0.775572</td>\n",
       "      <td>0.003100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capacity</th>\n",
       "      <td>0.492213</td>\n",
       "      <td>-0.083738</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.217806</td>\n",
       "      <td>-0.155475</td>\n",
       "      <td>0.987587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mileage</th>\n",
       "      <td>-0.295433</td>\n",
       "      <td>-0.562400</td>\n",
       "      <td>0.217806</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.645415</td>\n",
       "      <td>0.068040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D</th>\n",
       "      <td>0.452674</td>\n",
       "      <td>0.775572</td>\n",
       "      <td>-0.155475</td>\n",
       "      <td>-0.645415</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.044081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CM</th>\n",
       "      <td>0.558958</td>\n",
       "      <td>0.003100</td>\n",
       "      <td>0.987587</td>\n",
       "      <td>0.068040</td>\n",
       "      <td>-0.044081</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Price      Year  Capacity   Mileage         D        CM\n",
       "Price     1.000000  0.363375  0.492213 -0.295433  0.452674  0.558958\n",
       "Year      0.363375  1.000000 -0.083738 -0.562400  0.775572  0.003100\n",
       "Capacity  0.492213 -0.083738  1.000000  0.217806 -0.155475  0.987587\n",
       "Mileage  -0.295433 -0.562400  0.217806  1.000000 -0.645415  0.068040\n",
       "D         0.452674  0.775572 -0.155475 -0.645415  1.000000 -0.044081\n",
       "CM        0.558958  0.003100  0.987587  0.068040 -0.044081  1.000000"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "2fa127e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# FEATURE WE WANT TO INSERT GOES HERE\n",
    "class InsertDepr(BaseEstimator, TransformerMixin):\n",
    "\n",
    "    def __init__(self, insert=True):\n",
    "        self.insert = insert\n",
    "        \n",
    "    def fit(self, X, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, X, y=None):\n",
    "        if self.insert:\n",
    "            X[\"D\"] = (1/(((2021-X['Year'])**.5))) \n",
    "            \n",
    "            # If the new feature is intended to replace the existing ones, \n",
    "            # you could drop the existing ones here\n",
    "    \n",
    "            X = X.replace( [ np.inf, -np.inf ], np.nan )\n",
    "        return X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "977271e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# FEATURE WE WANT TO INSERT GOES HERE\n",
    "class InsertCM(BaseEstimator, TransformerMixin):\n",
    "\n",
    "    def __init__(self, insert=True):\n",
    "        self.insert = insert\n",
    "        \n",
    "    def fit(self, X, y=None):\n",
    "        return self\n",
    "    \n",
    "    def transform(self, X, y=None):\n",
    "        if self.insert:\n",
    "            X['CM'] = (X['Capacity'])-(X['Mileage']**0.5)\n",
    "            \n",
    "            # If the new feature is intended to replace the existing ones, \n",
    "            # you could drop the existing ones here\n",
    "    \n",
    "            X = X.replace( [ np.inf, -np.inf ], np.nan )\n",
    "        return X"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bde92c21",
   "metadata": {},
   "source": [
    "### Model Selection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "24f60daf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extract the features but leave as a DataFrame\n",
    "dev_X = dev_df[features]\n",
    "# Target values, converted to a 1D numpy array\n",
    "dev_y = dev_df[\"Price\"].values\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c4bbf55",
   "metadata": {},
   "source": [
    "The 'TransformerFromHyperP' ckass allows us to use Transformers as hyperparameters, for this example we try out different types of scalers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "30f8cbb8",
   "metadata": {},
   "outputs": [],
   "source": [
    "class TransformerFromHyperP(BaseEstimator, TransformerMixin):\n",
    "\n",
    "    def __init__(self, transformer=None):\n",
    "        self.transformer = transformer\n",
    "        \n",
    "    def fit(self, X, y=None):\n",
    "        if self.transformer:\n",
    "            self.transformer.fit(X, y)\n",
    "        return self\n",
    "    \n",
    "    def transform(self, X, y=None):\n",
    "        if self.transformer:\n",
    "            return self.transformer.transform(X)\n",
    "        else:\n",
    "            return X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "22557331",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create the preprocessor\n",
    "preprocessor = ColumnTransformer([\n",
    "        (\"num\", Pipeline([(\"D\", InsertDepr()), #This is where our derived feature is inserted\n",
    "                          (\"CM\", InsertCM()),\n",
    "                      (\"imputer\", SimpleImputer(missing_values=np.nan, strategy=\"mean\")),\n",
    "                      (\"scaler\", TransformerFromHyperP())]), \n",
    "            numeric_features),\n",
    "        (\"nom\", Pipeline([(\"imputer\", SimpleImputer(missing_values=np.nan, strategy=\"most_frequent\")), \n",
    "                          (\"binarizer\", OneHotEncoder(handle_unknown=\"ignore\"))]), \n",
    "                nominal_features)],\n",
    "        remainder=\"passthrough\")\n",
    "\n",
    "#This preprocessor will replace any missing nominal feature values with the most frequent values\n",
    "#For numeric data, missing values are replaced with the mean value and the data is scaled so that it is suitable for KNN."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "504e80ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "({'predictor__n_neighbors': 2,\n",
       "  'preprocessor__num__CM__insert': False,\n",
       "  'preprocessor__num__D__insert': True,\n",
       "  'preprocessor__num__scaler__transformer': StandardScaler()},\n",
       " -957764.0522614451)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a pipeline that combines the preprocessor with kNN\n",
    "knn = Pipeline([\n",
    "    (\"preprocessor\", preprocessor),\n",
    "    (\"predictor\", KNeighborsRegressor())])\n",
    "\n",
    "# Create a dictionary of hyperparameters for kNN\n",
    "knn_param_grid = {\"predictor__n_neighbors\": [1, 2, 3, 4, 5],\n",
    "                  \"preprocessor__num__D__insert\": [True, False],\n",
    "                  \"preprocessor__num__CM__insert\": [True, False],\n",
    "                  \"preprocessor__num__scaler__transformer\": [StandardScaler(), MinMaxScaler(), RobustScaler()]\n",
    "                 }\n",
    "\n",
    "# Create the grid search object which will find the best hyperparameter values based on validation error\n",
    "knn_gs = GridSearchCV(knn, knn_param_grid, scoring=\"neg_mean_absolute_error\", cv=ss)\n",
    "\n",
    "# Run grid search by calling fit\n",
    "knn_gs.fit(dev_X,dev_y)\n",
    "\n",
    "# Let's see how well we did\n",
    "knn_gs.best_params_, knn_gs.best_score_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "b404969f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "({'predictor__alpha': 1.0,\n",
       "  'preprocessor__num__CM__insert': False,\n",
       "  'preprocessor__num__D__insert': True,\n",
       "  'preprocessor__num__scaler__transformer': MinMaxScaler()},\n",
       " -1658357.011019872)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a pipeline that combines the preprocessor with ridge regression\n",
    "ridge = Pipeline([\n",
    "    (\"preprocessor\", preprocessor),\n",
    "    (\"predictor\", Ridge())])\n",
    "\n",
    "# Create a dictionary of hyperparameters for ridge regression\n",
    "ridge_param_grid = {\"preprocessor__num__D__insert\": [True, False],\n",
    "                    \"preprocessor__num__CM__insert\": [True, False],\n",
    "                    \"predictor__alpha\": [1e-2,0.0,1.0,5.0, 10.0],\n",
    "                    \"preprocessor__num__scaler__transformer\": [StandardScaler(), MinMaxScaler(), RobustScaler()]\n",
    "                   }\n",
    "\n",
    "# Create the grid search object which will find the best hyperparameter values based on validation error\n",
    "ridge_gs = GridSearchCV(ridge, ridge_param_grid, scoring=\"neg_mean_absolute_error\")\n",
    "\n",
    "# Run grid search by calling fit\n",
    "ridge_gs.fit(dev_X, dev_y)\n",
    "\n",
    "# Let's see how well we did\n",
    "ridge_gs.best_params_, ridge_gs.best_score_"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6db238c",
   "metadata": {},
   "source": [
    "Time to see if we are overfitting or underfitting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "0c630c31",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training error:  504483.8901452473\n",
      "Validation error:  957764.0522614451\n"
     ]
    }
   ],
   "source": [
    "knn.set_params(**knn_gs.best_params_) \n",
    "scores = cross_validate(knn, dev_X, dev_y, cv=ss, \n",
    "                        scoring=\"neg_mean_absolute_error\", return_train_score=True)\n",
    "print(\"Training error: \", np.mean(np.abs(scores[\"train_score\"])))\n",
    "print(\"Validation error: \", np.mean(np.abs(scores[\"test_score\"])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33c32e04",
   "metadata": {},
   "source": [
    "When I ran this the first time, I was highly overfitting. To remidy this I removed some of the features and re ran."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "029b1a2d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training error:  1560575.062718279\n",
      "Validation error:  1756231.6946456425\n"
     ]
    }
   ],
   "source": [
    "ridge.set_params(**ridge_gs.best_params_) \n",
    "scores = cross_validate(ridge, dev_X, dev_y, cv=ss, \n",
    "                        scoring=\"neg_mean_absolute_error\", return_train_score=True)\n",
    "print(\"Training error: \", np.mean(np.abs(scores[\"train_score\"])))\n",
    "print(\"Validation error: \", np.mean(np.abs(scores[\"test_score\"])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f4adc85",
   "metadata": {},
   "source": [
    "### Evaluate on the test set"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "778212fb",
   "metadata": {},
   "source": [
    "I only evaluated on the test set after I had tweeked and tuned my desired model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "4f0571ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extract the features from val+train set dataframe\n",
    "dev_X = dev_df[features]\n",
    "# Target values from val+train set (dataframe as it was before train/val splitting)\n",
    "dev_y = dev_df[\"Price\"].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "3a965a3f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "993286.6736972705"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# Now we re-train on train+validation and test on the test set \n",
    "knn.set_params(**knn_gs.best_params_) \n",
    "knn.fit(dev_X, dev_y)\n",
    "mean_absolute_error(test_y, knn.predict(test_X))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "555c6fd3",
   "metadata": {},
   "source": [
    "##### This notebook took aprox. 2 mins 30 secs to run on my laptop when restricted to 1 core"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c88e8810",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}