frequent_value_imputation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('train_2.csv',usecols=['GarageQual','FireplaceQu','SalePrice'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FireplaceQu</th>\n",
       "      <th>GarageQual</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>TA</td>\n",
       "      <td>208500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>181500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>223500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>250000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  FireplaceQu GarageQual  SalePrice\n",
       "0         NaN         TA     208500\n",
       "1          TA         TA     181500\n",
       "2          TA         TA     223500\n",
       "3          Gd         TA     140000\n",
       "4          TA         TA     250000"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "FireplaceQu    47.260274\n",
       "GarageQual      5.547945\n",
       "SalePrice       0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().mean()*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='GarageQual'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['GarageQual'].value_counts().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    TA\n",
       "Name: GarageQual, dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['GarageQual'].mode()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'GarageQual')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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v/vz5KCwsrH1dvnzZha0kn3Llivyu1wOhoUCnTvLnDDdERC7VIhfxW7duHaZPn47PPvsMd911V7P7GgwGGAwGF7WMfJol3MTEAJJUV7lhtxQRkUu1uMrN2rVrMXXqVHzyyScYN26cu5tDVKd+uAGADh3k94sX3dIcIiJf5dbKTUlJCc7WK9lfuHABhw4dQnh4ONq2bYv58+cjIyMDq1evBiAHm8mTJ+Pdd9/FoEGDkJ2dDQDw9/dHaGioW+6BqJYl3LRuLb9bxnexK5SIyKXcWrnZv38/+vbti759+wIA5syZg759+9ZO687KykJaWlrt/h9++CGqq6vx1FNPITY2tvY1e/Zst7SfqIEbKzeWcJOfD5SWuqdNREQ+yK2Vm9tvvx3NLbOzatWqBp9v27bNuQ0ickROjvxuGeAeGgoEBwPFxXL1pmtX97WNiMiHtLgxN0QeKz9ffo+IqNvGrikiIpdjuCFSi2WNm7Cwum0MN0RELsdwQ6QWa+HG8tgFhhsiIpdhuCFSCys3REQegeGGSC0MN0REHoHhhkgtzYWbeksaEBGRczHcEKmhuhooKZE/thZu0tNd3iQiIl/FcEOkhsLCuo/rr5YdFye/l5TI690QEZHTMdwQqcHSJRUcDOjqrY0ZFASEhMgfZ2S4vFlERL6I4YZIDdbG21jEx8vvmZmuag0RkU9juCFSw7Vr8ntz4YaVGyIil2C4IVJDc5Uby7gbhhsiIpdguCFSgyXc1B9MbMHKDRGRSzHcEKnBMhPKMni4Po65ISJyKYYbIjVY1rgJCmr8NXZLERG5FMMNkRqaCzfsliIicimGGyI12BJusrIAs9l1bSIi8lEMN0RqaC7cxMQAGg1gMgE5Oa5tFxGRD2K4IVJDc+FGp5MDDsCuKSIiF2C4IVJDc+EG4IwpIiIXYrghUsPNwg1nTBERuQzDDZEabK3cMNwQETkdww2RGtgtRUTkMRhuiNRQWiq/s1uKiMjtGG6I1MBuKSIij8FwQ+Qos/nmlRt2SxERuQzDDZGjysrqPr5Zt1R+PnD9uvPbRETkwxhuiBxl6ZKSJMBotL5PWBjg7y9/zOoNEZFTMdwQOar+eBtJsr6PJLFriojIRRhuiBx1s8HEFpwxRUTkEgw3RI6yNdxwxhQRkUsw3BA5yt5ww24pIiKnYrghchS7pYiIPArDDZGj2C1FRORRGG6IHMVwQ0TkURhuiBxlWZ04IKD5/SzdUpmZgBDObRMRkQ9juCFylGWFYlvDTUWFvFIxERE5BcMNkaMsj1OwrEDcFIMBiIyUP2bXFBGR0zDcEDnKEm5uVrkBGnZNERGRUzDcEDnK1soNwEHFREQuwHBD5CjLmBuGGyIij8BwQ+QoJZUbdksRETkNww2Ro5SMuWHlhojIaRhuiBzFbikiIo/i1nCzY8cOjB8/HnFxcZAkCRs3brzpMdu3b0dycjKMRiPat2+Pf/zjH85vKFFz2C1FRORR3BpuSktL0adPH3zwwQc27X/hwgXcc889GD58OFJTU/HnP/8ZzzzzDL744gsnt5SoGUq6pXJygKoq57WJiMiH6dx58bFjx2Ls2LE27/+Pf/wDbdu2xeLFiwEA3bp1w/79+/HOO+/gwQcfdFIriW7CnspNZCTg5ycHm6wsoG1b57aNiMgHtagxN3v27MHo0aMbbLv77ruxf/9+VDXxW3BFRQWKiooavIhUZc+YG42GC/kRETlZiwo32dnZiImJabAtJiYG1dXVyM3NtXrMggULEBoaWvtKSEhwRVPJl9hTuQE4Y4qIyMlaVLgBAEmSGnwuap6ufON2i/nz56OwsLD2dfnyZae3kXyMPWNuAM6YIiJyMreOubFX69atkZ2d3WBbTk4OdDodIiIirB5jMBhgMBhc0TzyRSYTUFkpf2xr5YYzpoiInKpFVW4GDx6MlJSUBts2b96Mfv36wc/Pz02tIp9mqdoA7JYiIvIQbg03JSUlOHToEA4dOgRAnup96NAhpKWlAZC7lCZPnly7/8yZM3Hp0iXMmTMHJ06cwIoVK7B8+XLMnTvXHc0nUhZu2C1FRORUbu2W2r9/P0aOHFn7+Zw5cwAAU6ZMwapVq5CVlVUbdAAgKSkJmzZtwnPPPYclS5YgLi4O7733HqeBk/tYwo3BIM+EsgW7pYiInEoSlhG5PqKoqAihoaEoLCxESEiIu5tDLd3Jk0C3bkBYGHDtmm3HnD4NdOkCBAUBxcVObR4Rkbew5+d3ixpzQ+Rx7J0GDtRVbkpKAK67RESkOoYbIkfYOw0cAAIDgdBQ+WN2TRERqY7hhsgRSio3AGdMERE5EcMNkSPsefRCfZwxRUTkNAw3RI5QWrlhuCEichqGGyJHKBlzA/DhmURETsRwQ+QIdksREXkchhsiR7BbiojI4zDcEDmC3VJERB6H4YbIEY5WbrKy5CeLExGRahhuiByhdMxNTIz8LCqTCcjJUb9dREQ+jOGGyBFKKzc6nRxwAI67ISJSGcMNkSOUjrkBgNhY+Z2VGyIiVTHcEDlCaeUGAKKi5HeGGyIiVTHcEDlC6ZgboC7cXL2qXnuIiIjhhsghjnRLRUfL7ww3RESqYrghcgS7pYiIPA7DDZEj2C1FRORxGG6IHOFI5cbSLcXKDRGRqhhuiBzhyJgbVm6IiJyC4YbIEWpUbhhuiIhUxXBD5Ag1xtyUlQGlpeq1iYjIxzHcECklhGOVm6AgwGCQP2b1hohINQw3REpVVQFms/yxkjE3ksRBxURETsBwQ6SUpWoDKKvcABxUTETkBAw3REpZxttIEqDXKzsHww0RkeoYboiUqj8NXJKUnYPdUkREqmO4IVLKkcHEFpGR8nt+vuPtISIiAAw3RMo5Mg3cIjxcfme4ISJSDcMNkVJqVG4YboiIVMdwQ6SUI49esGC4ISJSHcMNkVKs3BAReSSGGyKlOOaGiMgjMdwQKcVuKSIij8RwQ6SUmt1SpaVARYXjbSIiIoYbIsXU6JYKCQE0Nf8Nr11zvE1ERMRwQ6SYGpUbjQZo1Ur+mF1TRESqYLghUkqNMTcAx90QEamM4YZIKTUqNwDDDRGRyhhuiJRSY8wNwHBDRKQyhhsipVi5ISLySAw3REpxzA0RkUdiuCFSipUbIiKPxHBDpBTH3BAReSS3h5ulS5ciKSkJRqMRycnJ2LlzZ7P7r1mzBn369EFAQABiY2Mxbdo05OXluai1RPWo1S1lWeeG/46JiFTh1nCzbt06PPvss3jxxReRmpqK4cOHY+zYsUhLS7O6/48//ojJkydj+vTpOHbsGD777DPs27cPM2bMcHHLiaBet1RYmPxeWOjYeYiICICbw82iRYswffp0zJgxA926dcPixYuRkJCAZcuWWd3/p59+QmJiIp555hkkJSVh2LBhePLJJ7F//34Xt5wI6nVLhYbK7ww3RESqcFu4qaysxIEDBzB69OgG20ePHo3du3dbPWbIkCFIT0/Hpk2bIITAlStX8Pnnn2PcuHFNXqeiogJFRUUNXkSqULtyU1Dg2HmIiAiAG8NNbm4uTCYTYmJiGmyPiYlBdna21WOGDBmCNWvWYOLEidDr9WjdujXCwsLw/vvvN3mdBQsWIDQ0tPaVkJCg6n2QD1Mr3LByQ0SkKrcPKJYkqcHnQohG2yyOHz+OZ555Bi+99BIOHDiAb7/9FhcuXMDMmTObPP/8+fNRWFhY+7p8+bKq7ScfptaAYku4qagAyssdOxcREUHnrgtHRkZCq9U2qtLk5OQ0quZYLFiwAEOHDsXzzz8PAOjduzcCAwMxfPhwvP7664iNjW10jMFggMFgUP8GyLeZzXVBxNHKTUgIIEmAEHL1xmh0vH1ERD7MbZUbvV6P5ORkpKSkNNiekpKCIUOGWD2mrKwMGk3DJmu1WgByxYfIZepXWByt3Gg0QHCw/DG7poiIHObWbqk5c+bg448/xooVK3DixAk899xzSEtLq+1mmj9/PiZPnly7//jx47F+/XosW7YM58+fx65du/DMM89gwIABiIuLc9dtkC+yzJQCHK/cABx3Q0SkIrd1SwHAxIkTkZeXh9deew1ZWVno2bMnNm3ahHbt2gEAsrKyGqx5M3XqVBQXF+ODDz7AH//4R4SFheGOO+7Am2++6a5bIF9lGW+j1wM11UOHhIYCly8z3BARqUASPtafU1RUhNDQUBQWFiIkJMTdzaGW6vRpoEsXOZSoMYV7+HDgxx+Bzz4DHnrI8fMREXkZe35+u322FFGLpNYCfhbsliIiUg3DDZESak0Dt2C4ISJSDcMNkRJqLeBnwVWKiYhUw3BDpAS7pYiIPBbDDZES7JYiIvJYDDdESjircsNuKSIihzHcECmhduXGMuaGlRsiIocx3BApofaAYnZLERGphuGGSAl2SxEReSyGGyIl2C1FROSxGG6IlHBmt5RvPRGFiEh1bn1wJlGL5axuKZMJ5uISfHWhGJfzy3B/33jEh6l0DSIiH8FwQ6SE2t1SgYGARgOYzfifL/bj/VNyePrnjvP44veD0TE6WJ3rEBH5AHZLESmhdreUJAHBcoD5evdpSBIQF2pE4fUqzF9/FIJdVURENmO4IVJC7W4pAAgJAQAEVZbhvj5x+Pz3Q+Dvp8W+i9fw7S/Z6l2HiMjLMdwQKaF2txQAU5BcuQmsvI7HBrVDXJg/pg9LAgCs3H1RtesQEXk7hhsiJZxQuSn2MwIAkgxm9GvXCgDwm0HtoNVI2HshH6eyi1W7FhGRN2O4IVLCCZWbPI0BAHBrmBaSJAEAWocacWfXaADAl4czVbsWEZE3Y7ghUkLtAcUAMk1+AIBugQ23j+sdCwDYdDSLA4uJiGzAcEOkhMrdUvmllbgi5HCTZGwYYO7sFgO9ToPzuaU4dYVdU0REN8NwQ6SEyt1Sv2QUotggnyugvLTB14IMOozoHAUA2HQkS5XrERF5M4YbIiVU7pY6llmEUn3NuYobV2fG9GgNAPjhVI4q1yMi8maKws2FCxfUbgdRyyGE6t1SxzILmw03wztHAgB+yShCbkmFKtckIvJWisJNx44dMXLkSPz73/9GeXm52m0i8myVlXUPt1SpW+p4VhGK9TXnKipq9PXoYCO6xcqL/O06m6vKNYmIvJWicHP48GH07dsXf/zjH9G6dWs8+eST2Lt3r9ptI/JMlqoNoErlprzKhAu5pc1WbgDgtprqzfbTVx2+JhGRN1MUbnr27IlFixYhIyMDK1euRHZ2NoYNG4YePXpg0aJFuHqV33zJi1nG22i1gJ+fw6e7kFsKIQBRs0JxU+FmRCd5UPHOM7mcEk5E1AyHBhTrdDo88MAD+M9//oM333wT586dw9y5c9GmTRtMnjwZWVmc2UFeqP5g4prF9hxx/qo8OyokJlzeYKVbCgCSE1vBoNPganEFzl0ttboPERE5GG7279+PWbNmITY2FosWLcLcuXNx7tw5/PDDD8jIyMB9992nVjuJPIfKg4nPXy0BAITHRMgbmqjcGHRa3JIQBgDYeyFflWsTEXkjReFm0aJF6NWrF4YMGYLMzEysXr0aly5dwuuvv46kpCQMHToUH374IQ4ePKh2e4ncT+U1bs7nylWYqHi526mpcAMAA5Pk6s7eC3mqXJuIyBvplBy0bNkyPPHEE5g2bRpat25tdZ+2bdti+fLlDjWOyCOpvMbNuZrKTVxCvXAjhNUurwFJEQDOYt/Fa6pcm4jIGykKNykpKWjbti00moaFHyEELl++jLZt20Kv12PKlCmqNJLIo6jcLXWxpnIT3zZG3mAyyQHKSmXo1nZh0GkkZBRcR/q1MrRppd6DO4mIvIWibqkOHTogN7fxWhv5+flISkpyuFFEHk3FbqnC61UoKq8GAMTHR9ZVa5romgrQ69AzPhQAx90QETVFUbhpahpqSUkJjEajQw0i8ngqVm4yrslBKTxQj0B/PRAUJH/BpnE3DDdERNbY1S01Z84cAIAkSXjppZcQUO83V5PJhJ9//hm33HKLqg0k8jgqjrlJvyYHpTatas4VHCwHmyamgwPAgKRwfLjjPPZdZLghIrLGrnCTmpoKQK7cHD16FHq9vvZrer0effr0wdy5c9VtIZGnKa1ZYyYw0OFTZRTIQSk+rCbchIQAmZnNVm4s08HPXS1F4fUqhPo7vpAgEZE3sSvcbN26FQAwbdo0vPvuuwgJCXFKo4g8morhJr2mW6pB5QZoNtxEBBnQNjwAafllOJpeiGGdIh1uBxGRN1E05mblypUMNuS7VA03lm6pmi5eS7hpplsKAPrUVG8Opxc43AYiIm9jc+Xm17/+NVatWoWQkBD8+te/bnbf9evXO9wwIo/l7G4poNnKDSB3TX15OBOpaQUOt4GIyNvYHG5CQ0Mh1UxTDQ0NdVqDiDyeM7qlwm3vlgKAWxLk/4OHLhdACFH7f5OIiOwINytXrrT6MZHPUSnclFRUo6CsCkC9yo2N3VI94kKh00jILalAZmF53fFERKRszM3169dRZlnrA8ClS5ewePFibN68WbWGEXkslcKNZY2bsAA/BBtrZjzZ2C1l9NOia6wchA5fLnCoHURE3kZRuLnvvvuwevVqAEBBQQEGDBiAhQsX4r777sOyZctUbSCRx7EEe0fDTYF8nrjQelUXG7ulgLop4YcYboiIGlAUbg4ePIjhw4cDAD7//HO0bt0aly5dwurVq/Hee++p2kAij6NS5Sa7sAIAEBtab1VvG7ulAKB3fBgA4FhmoUPtICLyNorCTVlZGYJrvglv3rwZv/71r6HRaDBo0CBcunRJ1QYSeRxLuHHw2VJXisoBANEh9cKNjd1SANA9Tt73eGZRk49EISLyRYrCTceOHbFx40ZcvnwZ3333HUaPHg0AyMnJsXv9m6VLlyIpKQlGoxHJycnYuXNns/tXVFTgxRdfRLt27WAwGNChQwesWLFCyW0QKaNS5cYSblqHWKnc2BBuOsUEQaeRcK2sClmF5Q61hYjImygKNy+99BLmzp2LxMREDBw4EIMHDwYgV3H69u1r83nWrVuHZ599Fi+++CJSU1MxfPhwjB07FmlpaU0eM2HCBHz//fdYvnw5Tp06hbVr16Jr165KboNIGbW6pSzhJtRQt9GOcGPQadExWn7Q5vHMm3djERH5Crsev2Dx0EMPYdiwYcjKykKfPn1qt99555144IEHbD7PokWLMH36dMyYMQMAsHjxYnz33XdYtmwZFixY0Gj/b7/9Ftu3b8f58+cRHi4/GTkxMVHJLRApp9qYGzncxCis3ABy19TJ7GIcyyzCXd1jHGoPEZG3UFS5AYDWrVujb9++0GjqTjFgwACbqyiVlZU4cOBAbZeWxejRo7F7926rx/z3v/9Fv3798NZbbyE+Ph6dO3fG3Llzcd3ylGYrKioqUFRU1OBFpJgQqoWbnGJ5QLFD4Sa2ZtxNFgcVExFZKKrclJaW4u9//zu+//575OTkwGw2N/j6+fPnb3qO3NxcmEwmxMQ0/G0zJiYG2dnZVo85f/48fvzxRxiNRmzYsAG5ubmYNWsW8vPzmxx3s2DBArz66qs23hnRTZSXywEHcCjcVFSbkF9aCUD5mBtAXswPAI5nMbQTEVkoCjczZszA9u3b8fjjjyM2Ntahpd9vPLa5peTNZjMkScKaNWtqHwGxaNEiPPTQQ1iyZAn8/Ruv0jp//nzMmTOn9vOioiIkJCQobi/5OEvVBnAo3OQUyVUbvU6DsAC/ui9Ywk1FBVBVBfj5WTm6jqVyczn/OgqvVyHUv/n9iYh8gaJw88033+Drr7/G0KFDFV84MjISWq22UZUmJyenUTXHIjY2FvHx8Q2ebdWtWzcIIZCeno5OnTo1OsZgMMBgMDTaTqSIJdwYDIBWq/g02fVmSjUI85ZwA8jVm5qxZU0JDfBDfJg/Mgqu40RWEQa1j1DcJiIib6FozE2rVq1qB/QqpdfrkZycjJSUlAbbU1JSMGTIEKvHDB06FJmZmSgpKanddvr0aWg0GrRp08ah9hDZROVp4DEhNwRvnQ4w1nRT2TGoGOCMKSIiC0Xh5q9//SteeumlBs+XUmLOnDn4+OOPsWLFCpw4cQLPPfcc0tLSMHPmTAByl9LkyZNr93/00UcRERGBadOm4fjx49ixYweef/55PPHEE1a7pIhU58yZUhZ2jrvpEiPvfybHtv2JiLydom6phQsX4ty5c4iJiUFiYiL8bhgXcPDgQZvOM3HiROTl5eG1115DVlYWevbsiU2bNqFdu3YAgKysrAZr3gQFBSElJQV/+MMf0K9fP0RERGDChAl4/fXXldwGkf2cuYCfRXAwcPWqzeGmc2s53Jy+UnKTPYmIfIOicHP//fer1oBZs2Zh1qxZVr+2atWqRtu6du3aqCuLyGVUngYefWO3FGB35aZzjLyQ3+ns4mYH5BMR+QpF4ebll19Wux1ELYNK4eaqJdwEO94tlRQZCK1GQnFFNbKLyhEbyi5aIvJtihfxKygowMcff4z58+cjPz8fgNwdlZGRoVrjiDyOyuEmKthK5SZIrsTYGm4MOi0SI+SHeLJriohIYbg5cuQIOnfujDfffBPvvPMOCgoKAAAbNmzA/Pnz1WwfkWdRKdzklsjhJjLI8W4pAOhSM+7mzBUOKiYiUhRu5syZg6lTp+LMmTMwGuvK6mPHjsWOHTtUaxyRx7HMEAwIUHyKymozrpVVAWiicqMg3HSKlo85lc1wQ0SkKNzs27cPTz75ZKPt8fHxTT46gcgrqFC5ySuVqzY6jYQwaysKKwg3nWumg5/OYbcUEZGicGM0Gq0+gPLUqVOIiopyuFFEHsuygKRlXIwCucXyM6UigvTQaKzMbFIUbuT2nL0iz5giIvJlisLNfffdh9deew1VVXJpXZIkpKWlYd68eXjwwQdVbSCRR7EEjvqPSbDT1RJ5jRurXVL1z21HuEmMDISfVkJppQkZBdcVt42IyBsoCjfvvPMOrl69iujoaFy/fh0jRoxAx44dERwcjL/97W9qt5HIc6gRboqbGUxc/9x2hBs/rQbtI+XqzRnOmCIiH6donZuQkBD8+OOP2Lp1Kw4cOACz2Yxbb70Vd911l9rtI/Islu7YkBDFp8gtkbulolQMNwDQKSYIp64U49SVYozsGq24fURELZ3d4cZsNmPVqlVYv349Ll68CEmSkJSUhNatW3N1VPJ+KlZu1OyWAiyDirNwmtPBicjH2dUtJYTAvffeixkzZiAjIwO9evVCjx49cOnSJUydOhUPPPCAs9pJ5BksgcOBys3V5ta4ARwINzWDijljioh8nF2Vm1WrVmHHjh34/vvvMXLkyAZf++GHH3D//fdj9erVDZ7kTeRVLN1SHli56Viz1s3ZnBKYzcL6TCwiIh9gV+Vm7dq1+POf/9wo2ADAHXfcgXnz5mHNmjWqNY7I46jQLZXrpHDTLiIAfloJZZUmZBZyxhQR+S67ws2RI0cwZsyYJr8+duxYHD582OFGEXksV3ZLlZQAdqxZ46fVIClSXlzwDLumiMiH2RVu8vPzERMT0+TXY2JicO3aNYcbReSRqqqAcnmNGqWVm/IqE4rLqwHYULmprgYqKuw6v+UxDOcYbojIh9kVbkwmE3S6pofpaLVaVFdXO9woIo9Uv5tIYbixjLfR6zQIMTbxf6n+6sd2j7vhWjdERHYNKBZCYOrUqTAYrP/GWWHnb5lELYolaBiNgJ+VZ0LZwPI08KggQ9PLJmg08rOrSkvla9rxSJNONTOmzuRwOjgR+S67ws2UKVNuug9nSpHXUnGmVGRTXVIWwcF14cYOtZWbnBKuO0VEPsuucLNy5UpntYPI86kxU+pmqxNbBAcD2dl2h5ukyEBoJKC4vBo5xRWICTEqbSoRUYul6NlSRD5JjZlStdPA9c3vqHA6uEGnRWJEzYwpjrshIh/FcENkKzWfCG5L5ab+Ne1Q1zXFcTdE5JsYbohspcKYm9xiuVvKpjE3gKJwUzeomJUbIvJNDDdEtlJxAT9nVm4sa92cZbcUEfkohhsiW6n4RHBnVm4s3VKnc4oh7FjhmIjIWzDcENlKjW4pF1RuOkQFQZKAgrIq5JVW2n08EVFLx3BDZCtLuFHYLVVWWY2yShMA51Zu/PVaJLQKACA/IZyIyNcw3BDZqqBAfm/VStHhlsHERj8NAvXa5nd2INwADRfzIyLyNQw3RLayPBQ2LEzR4fWfBn7TlYMdDDedasLN2SucDk5EvofhhshWjlZuasJNxM3G2wCs3BAROYDhhshWDlZu6gYT32R1YsDxyk2MfDzDDRH5IoYbIlupNOYm0oWVm6vFFSgo44wpIvItDDdEthBCtcqNK8JNkEGHuFD5oZmcMUVEvobhhsgWZWVAdbX8scPhxoZuqSC58qI03ABAR3ZNEZGPYrghsoWlaqPTAYGBik5RG25utsYNUFe5KSmRq0YKWGZM8engRORrGG6IbGEZbxMWBtxsGncTcksUjLkRAigtVXS9Tnw6OBH5KIYbIltYKjcKBxMDdo65CQgANDX/PR0cVMwxN0TkaxhuiGxRv3KjQHmVCcXl8pidmz5XCpCrQw6Ou7GEm6zCchSXVyk6BxFRS8RwQ2QLBys3lgdY6rUahPjrbDvIwRlTYQF6RNWM7zl3VVnXFhFRS8RwQ2QLBys3ucWW1Yn1N3/0goWD4QaoP6iY426IyHcw3BDZwsHKjV3jbSxUDDccd0NEvoThhsgWjlZu7FnjxkKNcFOz1s2JbFZuiMh3MNwQ2cLhyo0d08AtVAg33eNCAADHM4sUn4OIqKVhuCGyRW6u/B4Zqejwq8V2LOBnoUK46dY6BBpJrhzlFJUrPg8RUUvCcENkCwfDjbvG3PjrtWgfJY+7OcbqDRH5CLeHm6VLlyIpKQlGoxHJycnYuXOnTcft2rULOp0Ot9xyi3MbSAQAV6/K7w6HG9eOuQGA7rE1XVNZDDdE5BvcGm7WrVuHZ599Fi+++CJSU1MxfPhwjB07Fmlpac0eV1hYiMmTJ+POO+90UUvJ51kqN1FRyg6vGXNj0wJ+FiqFmx41426OZRY6dB4iopbCreFm0aJFmD59OmbMmIFu3bph8eLFSEhIwLJly5o97sknn8Sjjz6KwYMH3/QaFRUVKCoqavAisktlJWD5d+No5UbJmJsSx6Zx94gLBcBBxUTkO9wWbiorK3HgwAGMHj26wfbRo0dj9+7dTR63cuVKnDt3Di+//LJN11mwYAFCQ0NrXwkJCQ61m3xQXp78rtEomgpeZTKjoEx+/IGrx9wAdTOmLuaV8TEMROQT3BZucnNzYTKZEBMT02B7TEwMsrOzrR5z5swZzJs3D2vWrIFOZ9sS9vPnz0dhYWHt6/Llyw63nXyMZbxNRETdwyztkFfTJaXVSAjz97P9QJXCTXigHrGhRgDAiSyud0NE3s/tA4pvXIpeCGF1eXqTyYRHH30Ur776Kjp37mzz+Q0GA0JCQhq8iOzi8HibmkcvBOqh0dj46AVAtXAD1I27+SWD426IyPvZ+AQ/9UVGRkKr1Taq0uTk5DSq5gBAcXEx9u/fj9TUVDz99NMAALPZDCEEdDodNm/ejDvuuMMlbScf4+gaN5ZwY0+XFKBquOnTJgxbTuTgcHqBw+ciIvJ0bqvc6PV6JCcnIyUlpcH2lJQUDBkypNH+ISEhOHr0KA4dOlT7mjlzJrp06YJDhw5h4MCBrmo6+RpH17gpVjANHFA13PRtK6+sfDDtmsPnIiLydG6r3ADAnDlz8Pjjj6Nfv34YPHgw/vnPfyItLQ0zZ84EII+XycjIwOrVq6HRaNCzZ88Gx0dHR8NoNDbaTqQqy5gbV04DB1QNN70TQiFJwOX867haXIEoe2ZtERG1MG4NNxMnTkReXh5ee+01ZGVloWfPnti0aRPatWsHAMjKyrrpmjdETqfW6sT2BgpLuCkrA0wmQKtVdH0ACDH6oVN0EE5fKcGhywUY1b1x1y8Rkbdw+4DiWbNm4eLFi6ioqMCBAwdw22231X5t1apV2LZtW5PHvvLKKzh06JDzG0m+zR2rEwN14QZweK0bALiVXVNE5CPcHm6IPJ5l0Hvr1ooOV/RcKQAwGAC/mqnjqoy7CQMApDLcEJGXY7ghupmsLPk9NlbR4bnF8pgbu8MN4JRBxUfSC1FtMjt8PiIiT8VwQ3Qz7qrcAKqGm45RQQg26FBWacKpK1zMj4i8F8MNUXPKyuqeK6WgcmMyC+SX1VRugu0ccwOoGm40Ggl928nVm5/P5zt8PiIiT8VwQ9QcS9XG37/hAF8b5ZVUQAhAIwHhAe4NNwAwuH0EAGDP+TxVzkdE5IkYboiaU3+8jZXHgtxMTnHd6sQ6rYL/bmqHmw5yuPn5fB5MZqHKOYmIPA3DDVFzHBxMnFNcDgCIVrponsrhpmdcCIIMOhSVV+NEVpEq5yQi8jQMN0TNcXAwcU6RXLnxlHCj02rQP1Eed/MTu6aIyEsx3BA1x+HKjSXcGJVdPyhIflcp3AB1XVN7zjHcEJF3Yrghao5a3VIhnlG5AYDB7eWVlvdeyOd6N0TklRhuiJrjYLfUFUu3VIjCyo0Twk33uBCE+vuhuKIahy4XqHZeIiJPwXBD1BzVuqU8p3Kj1Ui4rbP8hPNtp66qdl4iIk/BcEPUHEvlRmG4uVrkWbOlLG6vCTdbT+Woel4iIk/AcEPUlOpqIKfmh7+CbikhBK6WeF63FIDays2xzKLacUFERN6C4YaoKVlZgNksP5k7Otruw6+VVaHKJC+UF6XkuVKA08JNVLABvduEAgC2s2uKiLwMww1RUy5flt/j4wGN/f9VLBWRVgF+0OsU/ldzUrgB6rqmtp1muCEi78JwQ9QUS7hJSFB0eN0Cfgq7pACnhpsRXeRq1M7TVzklnIi8CsMNUVMcDTeWmVJK17gBnBpubkkIQ1iAH4rKq3EwrUD18xMRuQvDDVFTHAw3V2pmSkUpnSkFAKHyuBhUVgLl6g781Wqk2q6pLSeuqHpuIiJ3YrghaoqD4eaqo49eAOTKjeVp5IWFys/ThNE95Flg3x3LhhB8SjgReQeGG6KmONwtJVdaYhzpltJo6qo3164pP08TbuscBb1Og0t5ZTiTU6L6+YmI3IHhhqgpnjCgGABayU/xRkGBY+exIsigw9CaB2mmHGfXFBF5B4YbImsqKoArNT/slY65cfShmRZhYfK7E8INUNc1tflYtlPOT0Tkagw3RNZkZMjvRiMQEWH34WazwJVCuXLTWunqxBaWcOOEbikAuLNbNCQJOJxeiKzC6065BhGRKzHcEFlTv0vKMqDXDvlllag0mSFJQIyj4caJ3VKA3G12a1v5GlvYNUVEXoDhhsgaB8fbZBXIXVKRQQblqxNbOLlyAwCju8cAADYz3BCRF2C4IbLG0XBT070TF+pg1QZweuUGqBt3s+dcHgqvVzntOkRErsBwQ2SNw+FGrty0ViPcuKBykxQZiI7RQag2C2w9meO06xARuQLDDZE1KoWb2FB/x9vi5NlSFnf3kLumvvkly6nXISJyNoYbImtU6paKbSHdUgAwrlccAGDrqasoqah26rWIiJyJ4YbIGrUqN2EqVm6c2C0FAN1ig9E+MhCV1WZ8z2dNEVELxnBDdKOyMiA/X/7YEyo3LuqWkiQJv+odCwD46gi7poio5WK4IbqRpWoTHFz3XCc71F/AT9VuKSdXbgBgXG+5a2r7qasoLuesKSJqmRhuiG7kYJdUXqmKC/gBDSs3Tn5yd+eYIHSMDkKlyYwt7JoiohaK4YboRg6Gm+ya8TZRQQb4aVX4L2ap3JjNQIlzn9wtSRLG9ZK7pr5m1xQRtVAMN0Q3cjDcZKo53gaQn2+l18sfu6RrSg43O07nckE/ImqRGG6IbqRS5UaVNW4A+dlWLhpUDACdY4LROaama4qPYyCiFojhhuhGKlVuVFmd2MLSNWWZxeVkv6oZWLzxUIZLrkdEpCaGG6IbWcJNmzaKDrc8NFO1bikAiIiQ3/Py1DtnM+6/JR4AsOtsbm0lioiopWC4IbqRg5Wb9GtlAIA2rQLUahEQFSW/5+aqd85mtI0IQP/EVjALYEMqqzdE1LIw3BDVV1gIFBfLHysON3K3VEK4SmNuACAyUn53UbgBgAdvlStX6w+mQzh5CjoRkZoYbojqs1RtWrUCAgPtPry8yoScYnkBP1UrN5Zwc/Wqeue8iXt6x8Kg0+BMTgmOZhS67LpERI5iuCGqz+EuKblqE6jXolWAn1qtcnm3FACEGP1wd4/WAIAvDqS77LpERI5iuCGqT6XxNgnhAZAkSa1WuaVbCgAeTJa7pjYeykR5lcml1yYiUsrt4Wbp0qVISkqC0WhEcnIydu7c2eS+69evx6hRoxAVFYWQkBAMHjwY3333nQtbS17PwXBzuaZy06aViuNtALd0SwHAsI6RiA/zR+H1Kq5YTEQthlvDzbp16/Dss8/ixRdfRGpqKoYPH46xY8ciLS3N6v47duzAqFGjsGnTJhw4cAAjR47E+PHjkZqa6uKWk9dytHKT74SZUoBbuqUAQKuR8OjAtgCAf/98yaXXJiJSyq3hZtGiRZg+fTpmzJiBbt26YfHixUhISMCyZcus7r948WK88MIL6N+/Pzp16oQ33ngDnTp1wpdfftnkNSoqKlBUVNTgRdQklcbcOK1y4+JwAwAT+iXATyshNa0AxzI5sJiIPJ/bwk1lZSUOHDiA0aNHN9g+evRo7N6926ZzmM1mFBcXIzw8vMl9FixYgNDQ0NpXgsIfWuQjHO6WqhtzoypLuCkrk18uFBVsqB1Y/O+frFdViYg8idvCTW5uLkwmE2JiYhpsj4mJQXZ2tk3nWLhwIUpLSzFhwoQm95k/fz4KCwtrX5ctP7yIbmQ2A5Yu0XbtFJ2ido0btbulgoPrHp7phurNbwbJfx7/dygDxeV8mCYReTa3Dyi+cUaJEMKmWSZr167FK6+8gnXr1iE6OrrJ/QwGA0JCQhq8iKzKyQEqKuQHVcbH2314cXkV8ksrAQBt1FzAD5Db5MauqYFJ4egUHYSyShNXLCYij+e2cBMZGQmtVtuoSpOTk9OomnOjdevWYfr06fjPf/6Du+66y5nNJF9iqdrExdVVSexwMVfuLooM0iPEqOIaNxZumjEFyL+EWKo3q3ZdhNnMFYuJyHO5Ldzo9XokJycjJSWlwfaUlBQMGTKkyePWrl2LqVOn4pNPPsG4ceOc3UzyJZdqZgMp7JI6n1sCAEiMsH9lY5tYZky5IdwA8po3wUYdzueWYtvpHLe0gYjIFm7tlpozZw4+/vhjrFixAidOnMBzzz2HtLQ0zJw5E4A8Xmby5Mm1+69duxaTJ0/GwoULMWjQIGRnZyM7OxuFhZzBQSpwMNxYKjdJkU4KN5aK5pUrzjn/TQQZdHhkgDwtfPmPF9zSBiIiW7g13EycOBGLFy/Ga6+9hltuuQU7duzApk2b0K7mh0tWVlaDNW8+/PBDVFdX46mnnkJsbGzta/bs2e66BfImln9rbdsqOvxiXikAINFZ4SYuTn7PzHTO+W0wZUgitBoJu87m4Xgml1UgIs+kc3cDZs2ahVmzZln92qpVqxp8vm3bNuc3iHyXw91Scrhp78XhJj7MH2N7tsZXR7KwYtcFvPNwH7e1hYioKW6fLUXkMRzulnJy5SY2Vn53Y7gBgOnDkgAA/z2UiZzicre2hYjIGoYbIgsHuqWulVai8Lq8/ovTBhRbKjdZ7n3GU9+2rXBr2zBUmsz49x4+koGIPA/DDREAFBcD167JHyuo3Fi6pGJDjfDXa9VsWZ363VLCvVOxZwxvDwD4989pfFo4EXkchhsioK5LqlUreTVgO12wdEk5q2oD1HVLlZbKYcyNRnePQXyYP/JLK7moHxF5HIYbIsDhmVJnrshho1NMkFotaiwwEAgNlT9287gbnVaDaUMTAQAf7TgPExf1IyIPwnBDBDg8mPh0bbixv+pjFw+YMWXxyIC2CPX3w/ncUnzzi3vHARER1cdwQwSoEG7k1Yk7RzuxcgPUPfMqzf1P5w406GqrN0u2noNw8zggIiILhhsiwKFuqdKKamQUyE8D7+zsyk17eSAvLnjGCsFThyQiUK/FiawibD3FRzIQkWdguCECHKrcnMmRqzaRQQa0CrT/gZt2sYSb8+edex0bhQXoax+o+cEPZ1m9ISKPwHBDBDgUbk5ny+NturR2cpcU4HHhBpAX9dPrNDiYVoDd5/Lc3RwiIoYbIlRW1g3QVdAtVTuYONrJXVKAR4ab6BAjHumfAAD4+zcnYebMKSJyM4YborQ0eVE8f/+6J2/b4VRNuHH6eBugLtxkZwNlZc6/no3+cGcnBOq1OJpRiC+PuH8mFxH5NoYbIksVpH17QJLsOlQIgWM1T8fuEReidssaa9UKCAuTP/aQQcWAPN5o5ogOAIC3vzvFVYuJyK0Ybojqhxs7ZRaWI7+0EjqNhC6tXVC5AYAOcojAqVOuuZ6NZgxvj5gQA9KvXcf7P5xxd3OIyIcx3BCdOye/W0KDHX7JKAQgL95n9HPSM6Vu1KuX/H70qGuuZyN/vRav3tsTAPCP7edr/2yIiFyN4YbIgcqN5Qd4r3gXdElZ9O4tvx854rpr2mhMz9YY27M1TGaBP6xNRVF5lbubREQ+iOGGSIVw0zM+VM0WNc+Dww0A/O2BXogP88eF3FI89+khVJvM7m4SEfkYhhvybUIo7pYSQuBohjyY2C3h5tw5tz8d3JrwQD2WPnYr9DoNvj+Zg+c/P8IHaxKRSzHckG/Ly6sLCImJdh2aVViO3JIKaDUSurV2YbdUVJS8Ho8QwE8/ue66duiTEIYlj94KrUbChtQMPPm/B1BWWe3uZhGRj2C4Id9m6ZKKjweMRrsO3XcxH4A8Bdxf76LBxBYjRsjv27e79rp2GNU9Bh880hd6nQZbTlzBpH/+hCtF5e5uFhH5AIYb8m2WcKNgptSBS9cAAP3ahavZIttYws3337v+2nYY2ysWa387EK0C/HAkvRD3fbALR9M5i4qInIvhhnzb2bPyu4LBxPsuyuGmf2IrNVtkmzFj5AUHf/qp7rlYHiq5XTg2PjUUHaODkF1Ujoc/3I2vj2S5u1lE5MUYbsi3WRbC69LFrsOKyqtwMlseTJzsjnATH19XvVm1qm67EMDGjcAf/wi8+y5QWur6tlnRLiIQ62cNwe1dolBeZcZTnxzEP3ecc3eziMhLMdyQbztxQn7v2tWuww5eugYhgMSIAEQH2zdWRzW/+538vmiRPHNq61Zg0CDggQfkbc8+C/TrB+Tmuqd9Nwgx+mH5lP54YmgSAOCNTSfx4XYGHCJSH8MN+S4hgJMn5Y/tDDd7zuUBAPonumG8jcXEiUD//kBREdCxI3DHHcDevUBgIDBjBhAXJ9/fE0+4r4030GokvDS+O569qxMAYME3J7F6z0X3NoqIvA7DDfmu9HS520ans3tA8fbTVwEAwztHOaNlttFo5C6oAQPkz/V6YNYsuYrz0UfAt9/K9/bll0BKivvaacWzd3XGM3fKAeeV/x7D5mPZbm4REXkThhvyXZaqTceOgJ+fzYddKSrHyexiSBIwvGOkkxpno7g4eVBxRgZQUAAsWQLExMhf69VLDjsA8OabbmtiU567qxMeGZAAswCe+TQVhy4XuLtJROQlGG7Idykcb2Op2vRpE4ZWgXq1W2U/SZJDjr9/46/NmQNotfKU8V9+cX3bmiFJEv56X0+M6CwPMp6+ah8u5nrGAGgiatkYbsh3KQ03p+Rwc5s7u6Rs1a4dcO+98serV7u3LVbotBoseexW9IgLQV5pJaas3Ivckgp3N4uIWjiGG/Jdhw/L7z172nzI9UoTtp7KAQDc0TXaGa1S3+OPy+9r1gAmk3vbYkWQQYeV0/ojIdwfl/LK8MSqfSit4KMaiEg5hhvyTSZT3VO1+/a1+bCtp3JQVmlCm1b+6NPGhQ/LdMQ99wCtWgGZmfJ0cQ8UHWzEv6YNQHigHkfSC/Hb1ftRwoBDRAox3JBvOntWninl72/XAn5fHs4EAPyqdxwkSXJW69RlMAATJsgfr13r3rY0o31UEJZP6YcAvRa7z+Xh0Y9+YhcVESnCcEO+KTVVfu/dWx5wa4Pi8ir8cFLukvpV71hntcw5Jk2S37/4Aqjw3MDQt20rfPLbQbXPohr77k6kHL8CIYS7m0ZELQjDDfkmS7ixo0tq/cEMVFSb0TE6CD3iQpzUMCcZPlyeUVVYKK9/48FuSQjD578fgo7RQbhaXIHfrt6P+5fuxv/+dAlnc0pgMjPoEFHzdO5uAJFb7N0rvycn27S7EKJ2Jd3Jg9u1nC4pC61WXtH4f/4H+PRT4L773N2iZnWICsJXfxiGxVvOYNXuCzh8uQCHa9bBMfppkBgRiKTIutfApAi0jQhwb6OJyGNIwsfqvUVFRQgNDUVhYSFCQlrYb9+kjooKICwMKC+XF/KzYczNj2dy8ZvlPyNQr8VPf74TwUbbF/3zGPv2yasZBwQAOTnyYxpagJzicqw/mIEtx6/gWGYRrldZn/HVISoQDya3wcPJCYgKNri4lUTkbPb8/Ga4Id+zaxcwbBgQHQ1kZ8uL4DVDCIEJH+7BvovXMGVwO7x6n+1Txz2KEECnTvLjGT75BHjkEXe3yG4ms0Bafhku5pbifG4pLuaW4mR2EVLTClBd012l12nw6IC2mDmiA1qHuumhpkSkOnt+frNbinzPzp3y+/DhNw02ALDt1FXsu3gNBp0Gv7+9o5Mb50SSJA8s/tvf5K6pFhhutBqptitqZL3tReVV+PaXbKz5OQ2HLxdg1e6L+GRvGh7pn4CZt3dAbKiV1ZuJyGtxQDH5nm++kd9vv/2mu1ZUm/DGJnkl4ylDElt+JcASaL75Brh2zb1tUVGI0Q8T+iVg46wh+GTGQAxIDEdltRn/2nMJt721FfPXH0VaXpm7m0lELsJwQ74lNxf48Uf54/Hjb7r7u1vO4ExOCSIC9fj9CPueHO6RevSQH6hZVQWsX+/u1qhOkiQM6RiJdU8OwiczBmJgUjiqTAJr96Zh5MJt+O3q/dhy/AqqTWZ3N5WInIjdUuRb/u//ALMZ6NNHfu5SM7afvop/bD8HAPjbA7084yGZanjkEeDoUeCf/wSeeMKmrrmWxhJyhnSMxN4L+fhg61nsOH0VKcevIOX4FUQGGTCqezRGdY/BkA6RMPrZttYREbUMHFBMvmXwYOCnn4A33gDmz29yt6PphXjko59QUlGNh5Pb4O2H+7iwkU6WkyMHu/Jy+XEMNnTPeYMzV4qxbt9lrE/NQH5pZe12fz8thnaMwPBOURjWKRLtIwNb3lR/Ih/A2VLNYLjxYZap0DodkJ4OxMRY3W3bqRw8teYgSitNGNw+Av96YgD0Oi/rwX36aWDJEnnW2I4dXlm9aUpltRk/nc/DlhNXsOX4FWQWljf4enyYP4Z3isSwTpEY2iHSeyp2RC0cw00zGG58lBDAnXfKlYrHHwdWr260S35pJd7dchr/2nMJADCkQwT+8XgyQlrimjY3c/ky0K2b/Hytjz4CZsxwd4vcQgiB41lF2HkmFzvPXMW+C9dQWW88jiQBveJDMaxjJPq2bYU+bUIRHdLCB5UTtVAtKtwsXboUb7/9NrKystCjRw8sXrwYw4cPb3L/7du3Y86cOTh27Bji4uLwwgsvYObMmTZfj+HGRy1YAPz5z/JDJE+eBBITa790MrsI6w9mYM1Pl1BaKS8Q99jAtnh5fA/vq9jU9847wPPPy38m337rM91TzbleacLPF/Kw80wufjyTi1NXihvtExtqRPfYECRGBiIxMhBJEYFICPdHVLABAXp1hjEKIVBeZUa12Qx/Py10Wi/+d0hkoxYTbtatW4fHH38cS5cuxdChQ/Hhhx/i448/xvHjx9G2bdtG+1+4cAE9e/bEb3/7Wzz55JPYtWsXZs2ahbVr1+LBBx+06ZoMNz5ECODECWDRImD5cgDAtbf/B8fu+w0u5JXiUFoB9l3MR1p+3RThHnEhmDe2K4Z3inJXq13HbAZ+/Wt5kLWfHzB3LjB9OtC+vU91UzXnSlE5dp7JxU/n83AkvQBnckrQ3HfMQL0WUcEGRAUbEBagR4BeiwC9Fv5+OvhpJVSazKg2CVSZzCirNKG0ohqlldUorTDVvFejrObj+o/Q0us08rn8tPDXaxGg18G/5mN/Py2MfhpIkgSzEBACte8C8kn8tBrotRrodRoY/bRoFeCHVoF6hAfoERagR3igHmEBfgg2yudVe8yRJawVl1eh8Lr8Kiirea/5vOh6FYQQ0Go08NNKCDToGrUzLMAPIf5+CNSr30byfC0m3AwcOBC33norli1bVrutW7duuP/++7FgwYJG+//pT3/Cf//7X5w4caJ228yZM3H48GHs2bPH6jUqKipQUe8pyEVFRUhISFA93BSUVeKpTw422Hbjn2yjzyGa/bq8T/MblJzjxr/yxl+/SRus7HTzczQ+y83/fGRDDm/Hr3ZthGQ2QyMEJCG/a8wmSEJAI8yQLNvNdV+LKMxFYEVdcFk47DG8P2RSox/ceq0GI7tG4eHkBNzZLdq3vmmWlQFTpwKffVa3LSQESEgA/P3ll+6GakT9P5/6Hz/7LPCrXzmztW5XWlGNXzIKcSanBBdzS3ExT14pObPgOsqrvGN6uVYjIcigQ5BBh0CDFlqNBjqNBI1Ggk4jQStJ0Gjk/6+WIGUWAiYhf28xCwGzWV5NurSyGiUV1Sgpr65dQVoNGgkINvohxF8Ho04LrUaCn1YDraWNGgkaG/4f2/Jf3aZ94EPfM2wUGuCHJY/equo5W8QKxZWVlThw4ADmzZvXYPvo0aOxe/duq8fs2bMHo0ePbrDt7rvvxvLly1FVVQU/v8ZjIxYsWIBXX31VvYY3odJkxq6zeU6/ji8alJaGvqcPKDq2UqPDzqS+WDboIexv0wN+WgltwwOQGBGIrrHBGJAUgVvbhrXMZ0WpISAAWLcO+M1vgMWL5dWbi4qAY8fsP9fDD6vePE8TaNBhYPsIDGwf0WC7EAKllSZcLa6ofRVer0JZZTXKKk0oqzSh2mSGXqeBTquBXivBX69DoF6LwJoQEajX1Xxct12rkXC90oSyKhPKKuRzXa8y4XrNu+Xz8kpT7Q9hjSRBkurehQCqTGZUVJtRWW1GeZUJBWVVyC+rxLXSSlwrq8S1sioUlFXCLORQYqmuqE2SgFB/P4T6+yHMX67ChPr7yRUZox+0GglVJoFqkxmlldXIL5XbZmln4fUqVJkEzAJOayOpI9rNz3dzW7jJzc2FyWRCzA0zVmJiYpCdnW31mOzsbKv7V1dXIzc3F7GxsY2OmT9/PubMmVP7uaVyo7YQox/enXTLTfe7sSpwY96/8beEG38jaPz15o+/cY+bH29n+6z8wtLotxgHrxlweyucHNsX0GghNBpAowEkDYRWK3+skeSPJU3d1zUaVIVHorxdIqJDgrCo5ptosFEHjYa/ZTUgScC998qv69eBCxeArCz54+vXAVO9B1XWL6/dWGrr39817fVAklRX7UiKVPeBpEY/LVqpekbrhBAoqzShpKIaxeXVKC6vwvVKE0xCoNosYDIJmISAySy/NJIEjSTfu6YmTGk1dcFKI0kINGgRbNQh2OiHIIMOAQ52JwkhUFFtRtH1KhSVV6HwejUqqk0wmQWqTTXtNJtRZbJWK7bt/KQOg869a0e5fRG/G/+hCyGa/cdvbX9r2y0MBgMMBucnSKOfFvfdEu/06/ikzlHAmCHuboVv8PcHuneXX+RTJEmqrRzFeOhwREmSYPTTwuin5aw1apbbhuBHRkZCq9U2qtLk5OQ0qs5YtG7d2ur+Op0OERERVo8hIiIi3+K2cKPX65GcnIyUlJQG21NSUjBkiPXf0gcPHtxo/82bN6Nfv35Wx9sQERGR73Hr4glz5szBxx9/jBUrVuDEiRN47rnnkJaWVrtuzfz58zF58uTa/WfOnIlLly5hzpw5OHHiBFasWIHly5dj7ty57roFIiIi8jBuHXMzceJE5OXl4bXXXkNWVhZ69uyJTZs2oV3NAw2zsrKQlpZWu39SUhI2bdqE5557DkuWLEFcXBzee+89m9e4ISIiIu/n9hWKXY2L+BEREbU89vz85preRERE5FUYboiIiMirMNwQERGRV2G4ISIiIq/CcENEREReheGGiIiIvArDDREREXkVhhsiIiLyKm5/KrirWdYsLCoqcnNLiIiIyFaWn9u2rD3sc+GmuLgYAJCQkODmlhAREZG9iouLERoa2uw+Pvf4BbPZjMzMTAQHB0OSJHc3x2WKioqQkJCAy5cv+9xjJ3z13n31vgHeuy/eu6/eN+A79y6EQHFxMeLi4qDRND+qxucqNxqNBm3atHF3M9wmJCTEq//xN8dX791X7xvgvfvivfvqfQO+ce83q9hYcEAxEREReRWGGyIiIvIqDDc+wmAw4OWXX4bBYHB3U1zOV+/dV+8b4L374r376n0Dvn3vTfG5AcVERETk3Vi5ISIiIq/CcENEREReheGGiIiIvArDDREREXkVhhsiIiLyKgw3XuzatWt4/PHHERoaitDQUDz++OMoKChocv+qqir86U9/Qq9evRAYGIi4uDhMnjwZmZmZrmu0AkuXLkVSUhKMRiOSk5Oxc+fOZvffvn07kpOTYTQa0b59e/zjH/9wUUvVZ8+9r1+/HqNGjUJUVBRCQkIwePBgfPfddy5srbrs/Xu32LVrF3Q6HW655RbnNtBJ7L3viooKvPjii2jXrh0MBgM6dOiAFStWuKi16rL33tesWYM+ffogICAAsbGxmDZtGvLy8lzUWnXs2LED48ePR1xcHCRJwsaNG296jDd9j1NMkNcaM2aM6Nmzp9i9e7fYvXu36Nmzp/jVr37V5P4FBQXirrvuEuvWrRMnT54Ue/bsEQMHDhTJyckubLV9Pv30U+Hn5yc++ugjcfz4cTF79mwRGBgoLl26ZHX/8+fPi4CAADF79mxx/Phx8dFHHwk/Pz/x+eefu7jljrP33mfPni3efPNNsXfvXnH69Gkxf/584efnJw4ePOjiljvO3nu3KCgoEO3btxejR48Wffr0cU1jVaTkvu+9914xcOBAkZKSIi5cuCB+/vlnsWvXLhe2Wh323vvOnTuFRqMR7777rjh//rzYuXOn6NGjh7j//vtd3HLHbNq0Sbz44oviiy++EADEhg0bmt3fm77HOYLhxksdP35cABA//fRT7bY9e/YIAOLkyZM2n2fv3r0CwE1/aLjLgAEDxMyZMxts69q1q5g3b57V/V944QXRtWvXBtuefPJJMWjQIKe10VnsvXdrunfvLl599VW1m+Z0Su994sSJ4i9/+Yt4+eWXW2S4sfe+v/nmGxEaGiry8vJc0Tynsvfe3377bdG+ffsG29577z3Rpk0bp7XR2WwJN970Pc4R7JbyUnv27EFoaCgGDhxYu23QoEEIDQ3F7t27bT5PYWEhJElCWFiYE1rpmMrKShw4cACjR49usH306NFN3uOePXsa7X/33Xdj//79qKqqclpb1abk3m9kNptRXFyM8PBwZzTRaZTe+8qVK3Hu3Dm8/PLLzm6iUyi57//+97/o168f3nrrLcTHx6Nz586YO3curl+/7oomq0bJvQ8ZMgTp6enYtGkThBC4cuUKPv/8c4wbN84VTXYbb/ke5yifeyq4r8jOzkZ0dHSj7dHR0cjOzrbpHOXl5Zg3bx4effRRj3zSbG5uLkwmE2JiYhpsj4mJafIes7Ozre5fXV2N3NxcxMbGOq29alJy7zdauHAhSktLMWHCBGc00WmU3PuZM2cwb9487Ny5Ezpdy/y2p+S+z58/jx9//BFGoxEbNmxAbm4uZs2ahfz8/BY17kbJvQ8ZMgRr1qzBxIkTUV5ejurqatx77714//33XdFkt/GW73GOYuWmhXnllVcgSVKzr/379wMAJElqdLwQwur2G1VVVWHSpEkwm81YunSp6vehphvv52b3aG1/a9tbAnvv3WLt2rV45ZVXsG7dOqshuCWw9d5NJhMeffRRvPrqq+jcubOrmuc09vydm81mSJKENWvWYMCAAbjnnnuwaNEirFq1qsVVbwD77v348eN45pln8NJLL+HAgQP49ttvceHCBcycOdMVTXUrb/oep1TL/BXGhz399NOYNGlSs/skJibiyJEjuHLlSqOvXb16tVGqv1FVVRUmTJiACxcu4IcffvDIqg0AREZGQqvVNvrNLScnp8l7bN26tdX9dTodIiIinNZWtSm5d4t169Zh+vTp+Oyzz3DXXXc5s5lOYe+9FxcXY//+/UhNTcXTTz8NQP6hL4SATqfD5s2bcccdd7ik7Y5Q8nceGxuL+Ph4hIaG1m7r1q0bhBBIT09Hp06dnNpmtSi59wULFmDo0KF4/vnnAQC9e/dGYGAghg8fjtdff91rKxje8j3OUazctDCRkZHo2rVrsy+j0YjBgwejsLAQe/furT32559/RmFhIYYMGdLk+S3B5syZM9iyZYtH/2fQ6/VITk5GSkpKg+0pKSlN3uPgwYMb7b9582b069cPfn5+Tmur2pTcOyBXbKZOnYpPPvmkxY49sPfeQ0JCcPToURw6dKj2NXPmTHTp0gWHDh1qMC7Nkyn5Ox86dCgyMzNRUlJSu+306dPQaDRo06aNU9urJiX3XlZWBo2m4Y84rVYLoK6S4Y285Xucw9wzjplcYcyYMaJ3795iz549Ys+ePaJXr16NpoJ36dJFrF+/XgghRFVVlbj33ntFmzZtxKFDh0RWVlbtq6Kiwh23cFOW6aHLly8Xx48fF88++6wIDAwUFy9eFEIIMW/ePPH444/X7m+ZJvncc8+J48ePi+XLl7fYaZL23vsnn3widDqdWLJkSYO/24KCAnfdgmL23vuNWupsKXvvu7i4WLRp00Y89NBD4tixY2L79u2iU6dOYsaMGe66BcXsvfeVK1cKnU4nli5dKs6dOyd+/PFH0a9fPzFgwAB33YIixcXFIjU1VaSmpgoAYtGiRSI1NbV2Bqs3f49zBMONF8vLyxOPPfaYCA4OFsHBweKxxx4T165da7APALFy5UohhBAXLlwQAKy+tm7d6vL222rJkiWiXbt2Qq/Xi1tvvVVs37699mtTpkwRI0aMaLD/tm3bRN++fYVerxeJiYli2bJlLm6xeuy59xEjRlj9u50yZYrrG64Ce//e62up4UYI++/7xIkT4q677hL+/v6iTZs2Ys6cOaKsrMzFrVaHvff+3nvvie7duwt/f38RGxsrHnvsMZGenu7iVjtm69atzf6/9fbvcUpJQnhxfY6IiIh8DsfcEBERkVdhuCEiIiKvwnBDREREXoXhhoiIiLwKww0RERF5FYYbIiIi8ioMN0RERORVGG6IiIhIFTt27MD48eMRFxcHSZKwceNGu88hhMA777yDzp07w2AwICEhAW+88YZd5+CDM4mIiEgVpaWl6NOnD6ZNm4YHH3xQ0Tlmz56NzZs345133kGvXr1QWFiI3Nxcu87BFYqJiIhIdZIkYcOGDbj//vtrt1VWVuIvf/kL1qxZg4KCAvTs2RNvvvkmbr/9dgDAiRMn0Lt3b/zyyy/o0qWL4muzW4qIiIhcYtq0adi1axc+/fRTHDlyBA8//DDGjBmDM2fOAAC+/PJLtG/fHl999RWSkpKQmJiIGTNmID8/367rMNwQERGR0507dw5r167FZ599huHDh6NDhw6YO3cuhg0bhpUrVwIAzp8/j0uXLuGzzz7D6tWrsWrVKhw4cAAPPfSQXdfimBsiIiJyuoMHD0IIgc6dOzfYXlFRgYiICACA2WxGRUUFVq9eXbvf8uXLkZycjFOnTtncVcVwQ0RERE5nNpuh1Wpx4MABaLXaBl8LCgoCAMTGxkKn0zUIQN26dQMApKWlMdwQERGR5+jbty9MJhNycnIwfPhwq/sMHToU1dXVOHfuHDp06AAAOH36NACgXbt2Nl+Ls6WIiIhIFSUlJTh79iwAOcwsWrQII0eORHh4ONq2bYvf/OY32LVrFxYuXIi+ffsiNzcXP/zwA3r16oV77rkHZrMZ/fv3R1BQEBYvXgyz2YynnnoKISEh2Lx5s83tYLghIiIiVWzbtg0jR45stH3KlClYtWoVqqqq8Prrr2P16tXIyMhAREQEBg8ejFdffRW9evUCAGRmZuIPf/gDNm/ejMDAQIwdOxYLFy5EeHi4ze1guCEiIiKvwqngRERE5FUYboiIiMirMNwQERGRV2G4ISIiIq/CcENEREReheGGiIiIvArDDREREXkVhhsiIiLyKgw3RERE5FUYboiIiMirMNwQERGRV/n/yfGv3FQKReEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig =plt.figure()\n",
    "ax =fig.add_subplot(111)\n",
    "\n",
    "df[df['GarageQual']=='TA']['SalePrice'].plot(kind='kde',ax=ax)\n",
    "\n",
    "df[df['GarageQual'].isnull()]['SalePrice'].plot(kind='kde',ax=ax,color='red')\n",
    "\n",
    "lines,labels=ax.get_legend_handles_labels()\n",
    "labels=['house with TA','houses with NA']\n",
    "\n",
    "plt.title ('GarageQual')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = df[df['GarageQual']=='TA']['SalePrice']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Hp\\AppData\\Local\\Temp\\ipykernel_7892\\584385255.py:1: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
      "\n",
      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
      "\n",
      "\n",
      "  df['GarageQual'].fillna('TA',inplace=True)\n"
     ]
    }
   ],
   "source": [
    "df['GarageQual'].fillna('TA',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='GarageQual'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['GarageQual'].value_counts().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'GarageQual')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig =plt.figure()\n",
    "ax =fig.add_subplot(111)\n",
    "\n",
    "temp.plot(kind='kde',ax=ax)\n",
    "\n",
    "df[df['GarageQual']=='TA']['SalePrice'].plot(kind='kde',ax=ax,color='red')\n",
    "\n",
    "lines,labels=ax.get_legend_handles_labels()\n",
    "labels=['Original Variable','Imputed variable']\n",
    "ax.legend(lines,labels,loc='best')\n",
    "\n",
    "plt.title ('GarageQual')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='FireplaceQu'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['FireplaceQu'].value_counts().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Gd\n",
       "Name: FireplaceQu, dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['FireplaceQu'].mode()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'FireplaceQu')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig =plt.figure()\n",
    "ax =fig.add_subplot(111)\n",
    "\n",
    "df[df['FireplaceQu'].isnull()]['SalePrice'].plot(kind='kde',ax=ax)\n",
    "\n",
    "df[df['FireplaceQu']=='Gd']['SalePrice'].plot(kind='kde',ax=ax,color='red')\n",
    "\n",
    "lines,labels=ax.get_legend_handles_labels()\n",
    "labels=['house with NA','houses with Gd']\n",
    "ax.legend(lines,labels,loc='best')\n",
    "\n",
    "plt.title ('FireplaceQu')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = df[df['FireplaceQu']=='Gd']['SalePrice']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Hp\\AppData\\Local\\Temp\\ipykernel_7892\\891419280.py:1: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
      "\n",
      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
      "\n",
      "\n",
      "  df['FireplaceQu'].fillna('Gd',inplace=True)\n"
     ]
    }
   ],
   "source": [
    "df['FireplaceQu'].fillna('Gd',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='FireplaceQu'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['FireplaceQu'].value_counts().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'FireplaceQu')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig =plt.figure()\n",
    "ax =fig.add_subplot(111)\n",
    "\n",
    "temp.plot(kind='kde',ax=ax)\n",
    "\n",
    "df[df['FireplaceQu']=='Gd']['SalePrice'].plot(kind='kde',ax=ax,color='red')\n",
    "\n",
    "lines,labels=ax.get_legend_handles_labels()\n",
    "labels=['Original Variable','Imputed variable']\n",
    "ax.legend(lines,labels,loc='best')\n",
    "\n",
    "plt.title ('FireplaceQu')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "\n",
    "X_train,X_test,y_train,y_test = train_test_split(df.drop(columns=['SalePrice']),df['SalePrice'],test_size=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.impute import SimpleImputer\n",
    "\n",
    "imputer =SimpleImputer(strategy='most_frequent')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = imputer.fit_transform(X_train)\n",
    "X_test = imputer.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Gd', 'TA'], dtype=object)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imputer.statistics_"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ML",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}