200014_Abhay Sisodia_Part 2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "be637f12",
   "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>city</th>\n",
       "      <th>area</th>\n",
       "      <th>rooms</th>\n",
       "      <th>bathroom</th>\n",
       "      <th>parking spaces</th>\n",
       "      <th>floor</th>\n",
       "      <th>animal</th>\n",
       "      <th>furniture</th>\n",
       "      <th>hoa (R$)</th>\n",
       "      <th>rent amount (R$)</th>\n",
       "      <th>property tax (R$)</th>\n",
       "      <th>fire insurance (R$)</th>\n",
       "      <th>total (R$)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>São Paulo</td>\n",
       "      <td>70</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>acept</td>\n",
       "      <td>furnished</td>\n",
       "      <td>2065</td>\n",
       "      <td>3300</td>\n",
       "      <td>211</td>\n",
       "      <td>42</td>\n",
       "      <td>5618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>São Paulo</td>\n",
       "      <td>320</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>acept</td>\n",
       "      <td>not furnished</td>\n",
       "      <td>1200</td>\n",
       "      <td>4960</td>\n",
       "      <td>1750</td>\n",
       "      <td>63</td>\n",
       "      <td>7973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Porto Alegre</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>acept</td>\n",
       "      <td>not furnished</td>\n",
       "      <td>1000</td>\n",
       "      <td>2800</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>3841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Porto Alegre</td>\n",
       "      <td>51</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>acept</td>\n",
       "      <td>not furnished</td>\n",
       "      <td>270</td>\n",
       "      <td>1112</td>\n",
       "      <td>22</td>\n",
       "      <td>17</td>\n",
       "      <td>1421</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           city  area  rooms  bathroom  parking spaces floor animal  \\\n",
       "0     São Paulo    70      2         1               1     7  acept   \n",
       "1     São Paulo   320      4         4               0    20  acept   \n",
       "2  Porto Alegre    80      1         1               1     6  acept   \n",
       "3  Porto Alegre    51      2         1               0     2  acept   \n",
       "\n",
       "       furniture  hoa (R$)  rent amount (R$)  property tax (R$)  \\\n",
       "0      furnished      2065              3300                211   \n",
       "1  not furnished      1200              4960               1750   \n",
       "2  not furnished      1000              2800                  0   \n",
       "3  not furnished       270              1112                 22   \n",
       "\n",
       "   fire insurance (R$)  total (R$)  \n",
       "0                   42        5618  \n",
       "1                   63        7973  \n",
       "2                   41        3841  \n",
       "3                   17        1421  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data=pd.read_csv('House_prediction.csv')\n",
    "data.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "683ba3a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['São Paulo', 'Porto Alegre', 'Rio de Janeiro', 'Campinas',\n",
       "       'Belo Horizonte'], dtype=object)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.info\n",
    "data['city'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ee6b8ed6",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2=data.drop(['animal','furniture'],axis=1)\n",
    "df_broom=np.array(data.groupby(['city'])['bathroom'].mean())\n",
    "df_area=np.array([data.groupby(['city'])['area'].mean()])\n",
    "df_rooms=np.array([data.groupby(['city'])['rooms'].mean()])\n",
    "df_hoa=np.array([data.groupby(['city'])['hoa (R$)'].mean()])\n",
    "df_rent=np.array([data.groupby(['city'])['rent amount (R$)'].mean()])\n",
    "df_property=np.array([data.groupby(['city'])['property tax (R$)'].mean()])\n",
    "df_fire=np.array([data.groupby(['city'])['fire insurance (R$)'].mean()])\n",
    "df_total=np.array([data.groupby(['city'])['total (R$)'].mean()])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "947dcd9d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'City v/s Bedrooms')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "city=['São Paulo', 'Porto Alegre', 'Rio de Janeiro', 'Campinas',\n",
    "       'Belo Horizonte']\n",
    "fig1=plt.scatter(city,df_broom)\n",
    "plt.title('City v/s Bedrooms')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a28d0c5d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'City v/s Area')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig2=plt.scatter(city,df_area)\n",
    "plt.title('City v/s Area')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d46ce515",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'City v/s Rooms')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig3=plt.scatter(city,df_rooms)\n",
    "plt.title('City v/s Rooms')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e042f2f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'City v/s Hoa')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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7AAvTVbyL0xVaJwFXSdoKvApcHBGlifpPkV0BNpBsTiU/r2JmZnVKaVSqz2pqaorm5ubeboaZWd2QtCQimnqqvqrnSMzMrPbmLm1h6oLVrNvUxsGDBzJ53CgmjOn0Itc+wYHEzKyPmLu0hSmzV9C2dTsALZvamDJ7BUCfDib+rS0zsz5i6oLVrwWRkrat25m6YHUvtag8DiRmZn3Euk1tFaX3FQ4kZmZ9xMGDB1aU3lc4kJiZ9RGTx41i4IB+O6UNHNCPyeNG9VKLyuPJdjOzPqI0oe6rtszMrGoTxgzv84GjPQ9tmZlZIQ4kZmZWiIe2zKxb1eM3ta0yDiRm1m3q9ZvaVhkPbZlZt6nXb2pbZRxIzKzb1Os3ta0yDiRm1m3q9ZvaVhkHEjPrNvX6TW2rjCfbzazb1Os3ta0yDiRm1q3q8ZvaVpmyhrYkzZS0QdLKXNqBkhZKeizdH5DSJWmapDWSlks6JrfNxJT/MUkTa787ZmbW08qdI5kFjG+XdjmwKCJGAovSY4BTgZHpNgmYDlngAa4A3gkcB1xRCj5mZla/ygokEXE3sLFd8pnAdWn5OmBCLv36yCwGBksaBowDFkbExoh4HljIrsHJzMzqTJGrtoZGxPq0/AwwNC0PB57O5Vub0jpL34WkSZKaJTW3trYWaKKZmXW3mlz+GxEBRC3KSuXNiIimiGhqaGioVbFmZtYNigSSZ9OQFel+Q0pvAQ7J5RuR0jpLNzOzOlYkkMwDSldeTQRuyaWfn67eGgtsTkNgC4BTJB2QJtlPSWlmZlbHyvoeiaQbgZOBIZLWkl19dTVws6SPA08BZ6Xs84HTgDXAK8CFABGxUdJXgPtTvqsiov0EvpmZ1Rll0xt9V1NTUzQ3N/d2M8zM6oakJRHR1FP1+be2zMysEAcSMzMrxIHEzMwKcSAxM7NCHEjMzKwQBxIzMyvEgcTMzApxIDEzs0IcSMzMrBAHEjMzK8SBxMzMCnEgMTOzQhxIzMysEAcSMzMrxIHEzMwKcSAxM7NCHEjMzKwQBxIzMyuk6kAiaZSkZbnbC5I+J+lKSS259NNy20yRtEbSaknjarMLZmbWm/pXu2FErAZGA0jqB7QAc4ALge9ExDfz+SUdAZwDHAkcDPxO0uERsb3aNpiZWe+r1dDW+4DHI+Kp3eQ5E7gpIrZExJ+ANcBxNarfzMx6Sa0CyTnAjbnHn5a0XNJMSQektOHA07k8a1PaLiRNktQsqbm1tbVGTTQzs+5QOJBIej1wBvDzlDQdeCvZsNd64FuVlhkRMyKiKSKaGhoaijbRzMy6US16JKcCD0TEswAR8WxEbI+IV4EfsGP4qgU4JLfdiJRmZmZ1rBaB5Fxyw1qShuXWfQhYmZbnAedI2kfSYcBI4I81qN/MzHpR1VdtAUj6G+ADwCdzyd+QNBoI4MnSuohYJelm4CFgG3CJr9gyM6t/hQJJRLwMHNQu7bzd5P8q8NUidZqZWd/ib7abmVkhDiRmZlaIA4mZmRXiQGJmZoUUmmy3PcPcpS1MXbCadZvaOHjwQCaPG8WEMR3+6ICZ2S4cSPZyc5e2MGX2Ctq2Zldit2xqY8rsFQAOJmZWFg9t7eWmLlj9WhApadu6nakLVvdSi8ys3jiQ7OXWbWqrKN3MrD0Hkr3cwYMHVpRuZtaeA8lebvK4UQwc0G+ntIED+jF53KheapGZ1RtPtu/lShPqvmrLzKrlQGJMGDPcgcPMquahLTMzK8SBxMzMCnEgMTOzQhxIzMysEAcSMzMrxIHEzMwKKRxIJD0paYWkZZKaU9qBkhZKeizdH5DSJWmapDWSlks6pmj9ZmbWu2rVI3lvRIyOiKb0+HJgUUSMBBalxwCnAiPTbRIwvUb1m/WYuUtbePfVt3PY5b/h3VffztylLb3dJLNe1V1DW2cC16Xl64AJufTrI7MYGCxpWDe1wazmSj+737KpjWDHz+47mNjerBaBJIDbJC2RNCmlDY2I9Wn5GWBoWh4OPJ3bdm1K24mkSZKaJTW3trbWoIlmteGf3TfbVS1+IuWEiGiR9CZgoaRH8isjIiRFJQVGxAxgBkBTU1NF25p1J//svtmuCvdIIqIl3W8A5gDHAc+WhqzS/YaUvQU4JLf5iJRmVhf8s/tmuyoUSCT9jaQ3lpaBU4CVwDxgYso2EbglLc8Dzk9Xb40FNueGwMz6PP/svtmuig5tDQXmSCqVdUNE/FbS/cDNkj4OPAWclfLPB04D1gCvABcWrN+sR/ln9812pYi+PQXR1NQUzc3Nvd0MM7O6IWlJ7usY3c7fbDczs0IcSMzMrBAHEjMzK8SBxMzMCnEgMTOzQvr8VVuSWskuIa7GEOC5GjZnT+fjVRkfr8r4eFWmyPF6c0Q01LIxu9PnA0kRkpp78hK4eufjVRkfr8r4eFWmno6Xh7bMzKwQBxIzMytkTw8kM3q7AXXGx6syPl6V8fGqTN0crz16jsTMzLrfnt4jMTOzbuZAYmZmhfR6IJH0JUmrJC2XtEzSO1P6kZLukfQrSZ+tsMwrJbWk8lZKOqPKtl0p6fPVbFuEpO25tv9c0hsq2Ha0pNOqrPe76bi9Lpd2gaRrqimvO7U7Rr+SNDilHyzpFwXKnSXpIxXk75ZzRNIfal1mmfX+N0k3SXo8/X32fEmHd1NdhZ6r7pA7rx6U9ICkd5WxzUsV1vFSu8cVv8YknSHp8kq26aK8wZI+Ve32vRpIJB0PnA4cExFHA+8n/ad7RKyKiBMj4oMRMa2K4r8TEaOB/wXMzL851oG2iBgdEUcBfwUuLmcjSf2B0WT/+VKRdHw+RHb831Pp9mWUrxo/B/ljtBG4BCAi1kVE2YGgr4qIXd7A0vPbbZT9sdAc4M6IeGtEHAtMIfvfoZrro89V6bz6e7J9/3pvN6g9Sf0jYl5EXF3DYgcD9RlIgGHAcxGxBSAinouIdQCS/kXS/ekT54x0kpc+cS9OPZg5kg7YXQUR8TCwDRgiaW76lLVK0qRSnvwnBEkfkTSrfTmV1ltD9wBvk3Rgav/y1I6jU7uulPQTSb8HfgJcBZydPlWd3dl2HTgZWAVMB87tKIOkBkm/TM/L/ZLenUtfmI7rDyU9JWmIpEZJqyVdT/bPmYdImpy2XS7pX2t0jO4Fhqe2NEpamZb3lfRjSSskLZX03g72SZKuSe38HfCm3LpjJd2VzpkFSn8f3RlJF6V9ezAdpzek9FmSpkn6g6Qn8j2ezo5H6ZyUdLKynvk84KFy9qmA9wJbI+LaUkJEPAgslbQofUJfIenM1LZGSY+k/XtU0s8kvV/S7yU9Jum4lK90jt6b0i/KbV96ri6QNFvSb1Oeb+SOxXRJzen8yh+jqyU9lI7dN2t4HEoGAc/n6tvtuZvOpanK3rNWSDq70grTMbk91bFI0qEpfZakayXdB3xDuV5Meq2Xbm2S3tPZ6z49FzMl3ZnOxdJoz9XAW1MZU8vZ351ERK/dgP2AZcCjwPeB9+TWHZhb/gnwwbS8vJSP7E3zux2UeyXw+bT8TmAdoFKZwECyN7aD0uOXctt+BJjVQTld1lvD4/JSuu9P9jfF/xv4d+CKlP7fgWW5Ni4BBqbHFwDX5MrqcLsO6vwBcB7Zi6cFGNC+POAG4IS0fCjwcFq+BpiSlscDQfbzDo3Aq8DYtO4UsksaRfYh5tfASQWPUT/g58D49LgRWJmWLwNmpuW3A/8F7NuunA8DC1M5BwOb0jkwAPgD0JDynV0qazfn2kG59H8DPpOWZ6U2vg44AljT1fHI7d/JwMvAYeXuU4Hz7rNkPfn26f2BQWl5CNk/nCod623A36X2LwFmpnVnAnNzx+hBstfdELJe78HtnqsLgCeA/YF9yX4W6ZD8e0F6ju4EjgYOAlaz48rTwTU6BtvJ3pMeATYDx1bwXP3P3Lk0ND03w3ZTR+n2X+x4jf0KmJiWP5Y7hrNSnf06ep2ntA+SffAcwO7fL/4A7JOeiz+n/K89F9W8Vnu1RxIRLwHHApOAVuA/JF2QVr9X0n2SVpAdiCMl7U92wtyV8lwHnNRJ8f8saRnwTeDsyI7OZyU9CCwGDgFGltPOCuuthYGp7c1kJ9mPgBPIAioRcTtwkKRBKf+8iGjrpKzdbQeApNeTDYfNjYgXgPuAcR2U9X7gmtS2ecAgSfulOm5KdfyW3Kc44KmIWJyWT0m3pcADZG+EZT0HHSgdo2fIXrQLO8hzAvDT1K5HyN6c2o/3nwTcGBHbI+sN357SRwFHAQtTPV8GRnTRpqNS72EF8FHgyNy6uRHxakQ8xI6honKPxx8j4k8V7FOtCfiapOXA78h6f6V9+FNErIiIV8l6tIvSa20F2ZtTyS0R0RYRzwF3AMd1UM+iiNgcEX8BHgLenNLPkvQA2XE6kiwYbwb+AvxI0ofJ/rq7FkpDW28n+1B0vSRR3nN1AjvOpWeBu4B37KaO0ZENv/9Lbt3xZB/YIHvdnpBb9/OI2N5RoyWNBKYCZ0XEVnb/uv9NRGxJz8UGOh66rOi12q1jruVIB+ZO4M70Apwo6SayHkpTRDwt6UqyTymV+E5EvNbdlXQy2Rvh8RHxiqQ7c2Xmv0xTaT3doS2dYK/JzuVOvVywvnFkY6QrUj1vANrIPoXkvY6sd/GXKtsm4OsR8f8KthfSMVI2fLSAbI6kmrm0zghYFRHHV7DNLGBCRDyYPhCdnFu3pV3ZpftyjkfR57dcq8h6Y+19FGgg+3S+VdKT7Hid5Pfr1dzjV9n5/aX9F9Y6+gJbvqztQH9JhwGfB94REc8rG3beNyK2paGz96U2f5rsA2fNRMS9koaQ7Xstz91qdXgepA9zNwMXRcT6MsrZ5Th3VCwV7G9vT7aPSpG0ZDTZJ6zSSfpcOkgfAYiIzcDzkk5M688ji/rl2B94PgWRtwNjc+uelfS32jHhvJOC9dbKPWQv6FJQfC71Htp7EXhjhdudC3wiIhojohE4DPiAdr1a7DbgM6UHkkanxd8DZ6W0U4DO5o8WAB9LzymShkt6Uyd5yxIRr5ANyVymXSej8/t+ONlw3Op2ee4mm1Pqp2wOpDTnsBpoUHZBCJIGSDqS3XsjsF7SgFK9XajmeJSzT9W6HdhHO88fHk3WM9iQgsh72dFTqMSZyuZ3DiILsPeXud0gsjfQzZKGAqemdu0H7B8R84F/Bv6+ijbtVnqf6Ec2/FPOc3UPO86lBrLe7h8rrPYPwDlp+aOpzK7MBH4cEfm85b5flLR/36jo3OztHsl+wL8ru3RzG9nY66SI2CTpB2TzGM+w80k3Ebg2vck9AVxYZl2/BS6W9DDZC29xbt3lZJ++W8mGk/brYPtq662VK8muPltO1o2f2Em+O4DL03DM17vaLu3PeHJXhkXEy5L+k2zMNe+zwPdSWf3J3oQvBv4VuFHSeWQT38+QnZg7HceIuE3S3wL3pl7MS8A/knWvqxYRS1ObzmXnF973gempp7sNuCDShR05c8g+yT5ENox4byrzr8omxaeloc3+wHfJPrXn9WfHJ7z/SzYs2Jru38huVHk8ytmnqkRESPoQ8F1J/4ds6OhJsnNoWqqzmWz+oFLLyc7NIcBXImKdpMYy2vSgpKWpzqfJPrRAdmxvkbQv2afnS6toU0dKQ6akciemUZNynqs5ZENTD5L1uL4QEc9UWP9ngB9Lmkx2Hu32fUbSm8k+aB8u6WMp+ROU/34BQET8WdlFEiuBWyNiciXnpn8ixQqTtA+wPQ03HA9Mbz80t6eSNAf4QfpkbB1IQ9Mv5Yeabc/S2z0S2zMcCtychgb/ClzUy+3pEekT+qNkQ35mey33SMzMrJDe/kKimZnVOQcSMzMrxIHEzMwKcSAxM7NCHEjMzKyQ/w9eamyT1WDVTwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig4=plt.scatter(city,df_hoa)\n",
    "plt.title('City v/s Hoa')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "be5a82a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'City v/s Rent')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig5=plt.scatter(city,df_rent)\n",
    "plt.title('City v/s Rent')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a73d474a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'City v/s Property')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYwAAAEICAYAAABMGMOEAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAAewUlEQVR4nO3deZwdVZ338c+XJEJ8IkRIy5MNmtEYBEYDRpYHVBY1gEuiDwqoGBTN8ExcRjBCHMeJM4MyRoVhUHyCQMANEUOIiEYEgqgsNmQjYDSymHQCaTCJBJqY5Td/1Lmk0unl3O7bW/J9v173datOnao6dW7d+tU5VbeuIgIzM7OO7NHbBTAzs/7BAcPMzLI4YJiZWRYHDDMzy+KAYWZmWRwwzMwsiwOG9SpJn5P07d4uh5l1zAHDup2k90tqkLRR0hpJP5N0HEBEfCkiPpry1UsKSQO7sSzTJX2pynlC0nOp/I2Svi5pQHeVsYpydXt9mZU5YFi3knQecCnwJWB/4ADgm8DEXirS24FbOzHf6yJiCHAS8H7gYy0z9OSB20HCeoMDhnUbSfsA/wZMjYg5EfFcRGyOiJ9ExLSUZ4ak76ZZfpXe16ez+TdL+oukvy8t8xWSnpdU12Jde0paL+mwUlqdpGZJr0jjLwdeDdwjaZikW9I8f5F0t6QOvw8R8XvgbuCw0hn+OZL+DNwhaQ9Jn5f0hKS1kq5L9VBuEUyRtDq1tj5TKu8eki6U9CdJz0i6QdK+LeZ9cV1dqS+zznDAsO50DLAXcFNm/jel96ERMSQi7gKuBz5YynMmcHtENJVnjIhNwJw0veJ9wF0RsTaNT0jzbgXOB1YBdRQtn88BHT4nR9IhwBuBhaXkNwOvScs/O71OAP4OGAJc3mIxJwBjgLcBF0h6S0r/BDApLW8EsA74Rot5y+vqdH2ZdYYDhnWn/YCnI2JLF5ZxLXCmJKXxs4DvtJH3+8AZpfH3p7SKcnfUZmA4cGBq9dwd7T9Y7UFJ64CfAN8GrilNm5FaT83AB4CvR8SjEbERmA6c0aIL6Ysp/9K0nEqQOxf454hYlQLgDOC0FvOW19WaaurLrCruB7Xu9AwwTNLAzgaNiLhP0vPA8ZLWAK8C5rWR/U7gpZKOAp4CxpFaN6m76a3AeSnvTIoD8i/SsXVWRFzcTlGOiIgV5YTtx2RWlpJHAE+Uxp+g+J7tX0pb2WJ6pQvpQOAmSdtK07e2M+9Oqqwvs6q4hWHd6R5gE0U3S462zvCvpehmOQu4MSJeaHXmoqvpBooz9jOBWyLi2TT5DcATla6ZiHg2Is6PiL8D3gWcJ+mkzHK2V+7VFAf+igOALRQBrGJ0i+mr0/BK4JSIGFp67RURjW2sq0v1ZVYtBwzrNhGxAfgC8A1JkyS9VNIgSadI+korszQB2yj6/su+C7yb4iB4XQer/T5wOkXXULk76lTgp5URSe+Q9KrUdbOB4ky+fGbfWT8APi3pIElDKO4O+2GLFta/pLo4FPgw8MOU/i3gIkkHpjLWSWrvbrJa1JdZNgcM61YR8TWKbqDPUxzgVgIfB+a2kvd54CLgN+nupaNT+krgQYoz6rs7WN99wHMUXUM/K01qeTvtGOCXwEaKltA3I+LO6rdwJ1dTXDP4FfAY8ALFxeyyu4AVwO3AVyPiFyn9vyi6j34h6VngXuCotlZUi/oyq4b8B0rWH0i6GlgdEZ/vxLz7U9zVNLKDC9vdSlI9RRAZ1MUbAXLW1en6MmuLL3pbn5cOtO8BDu/kIvYBzu/NYNGTalBfZq1yl5T1aZL+HXgImBkRj3VmGRHxh4j4QW1L1jfVor7M2uIuKTMzy+IWhpmZZekT1zCGDRsW9fX1vV0MM7N+5YEHHng6InrsOWF9ImDU19fT0NDQ28UwM+tXJD3Rca7acZeUmZllccAwM7MsDhhmZpYlK2BIelzSUkmLJDWktH0l3Sbpj+n95Sldki6TtELSEklHdOcGmJlZz6imhXFCRIyLiPFp/EKKP2YZQ/FMnAtT+ikUz+kZA0wBrqhVYc3MrPd05S6picDxafhaYAFwQUq/Lj2G4V5JQyUNj4g1XSmomdmuZO7CRmbOX87q9c2MGDqYaRPGMunwkb1drHbltjCC4gmaD0iaktL2LwWBJ9n+Jy8j2fFPXlaltB2k/zVukNTQ1OR/jzSz3cfchY1Mn7OUxvXNBNC4vpnpc5Yyd2Fjh/P2ptyAcVxEHEHR3TRV0pvKE1NroqpnjETErIgYHxHj6+r8//RmtvuYOX85zZu37pDWvHkrM+cv76US5ckKGJV//IqItRR/eXkk8JSk4QDpfW3K3siO/yg2KqWZmRmwen3rf8neVnpf0WHAkPS/JL2sMgy8jeJpmPOAySnbZODmNDwP+FC6W+poYIOvX5iZbTdi6OCq0vuKnBbG/sCvJS0G7gd+GhE/By4G3irpj8Bb0jgU/2r2KMU/il0J/GPNS21m1o9NmzCWwYMG7JA2eNAApk0Y20slytPhXVIR8SjwulbSnwFOaiU9gKk1KZ2Z2S6ocjdUf7tLqk88fNDMbHcz6fCRfT5AtORHg5iZWRYHDDMzy+KAYWZmWRwwzMwsiwOGmZllccAwM7MsDhhmZpbFAcPMzLI4YJiZWRYHDDMzy+KAYWZmWRwwzMwsiwOGmZllccAwM7MsDhhmZpbFAcPMzLJkBwxJAyQtlHRLGp8t6TFJi9JrXEqXpMskrZC0RNIR3VR2MzPrQdX8496ngEeAvUtp0yLixhb5TgHGpNdRwBXp3czM+rGsFoakUcDbgW9nZJ8IXBeFe4GhkoZ3oYxmZtYH5HZJXQp8FtjWIv2i1O10iaQ9U9pIYGUpz6qUZmZm/ViHAUPSO4C1EfFAi0nTgYOBNwD7AhdUs2JJUyQ1SGpoamqqZlYzM+sFOS2MY4F3SXocuB44UdJ3I2JN6nbaBFwDHJnyNwKjS/OPSmk7iIhZETE+IsbX1dV1aSPMzKz7dRgwImJ6RIyKiHrgDOCOiPhg5bqEJAGTgIfSLPOAD6W7pY4GNkTEmm4pvZmZ9Zhq7pJq6XuS6gABi4BzU/qtwKnACuB54MNdKaCZmfUNVQWMiFgALEjDJ7aRJ4CpXS2YmZn1Lf6lt5mZZXHAMDOzLA4YZmaWxQHDzMyyOGCYmVkWBwwzM8vigGFmZlkcMMzMLIsDhpmZZXHAMDOzLA4YZmaWxQHDzMyyOGCYmVkWBwwzM8vigGFmZlkcMMzMLIsDhpmZZXHAMDOzLNkBQ9IASQsl3ZLGD5J0n6QVkn4o6SUpfc80viJNr++mspuZWQ+qpoXxKeCR0vh/ApdExKuAdcA5Kf0cYF1KvyTlMzOzfi4rYEgaBbwd+HYaF3AicGPKci0wKQ1PTOOk6Sel/GZm1o/ltjAuBT4LbEvj+wHrI2JLGl8FjEzDI4GVAGn6hpR/B5KmSGqQ1NDU1NS50puZWY/pMGBIegewNiIeqOWKI2JWRIyPiPF1dXW1XLSZmXWDgRl5jgXeJelUYC9gb+C/gKGSBqZWxCigMeVvBEYDqyQNBPYBnql5yc3MrEd12MKIiOkRMSoi6oEzgDsi4gPAncBpKdtk4OY0PC+Nk6bfERFR01KbmVmP68rvMC4AzpO0guIaxVUp/Spgv5R+HnBh14poZmZ9QU6X1IsiYgGwIA0/ChzZSp4XgPfWoGxmZtaH+JfeZmaWxQHDzMyyOGCYmVkWBwwzM8vigGFmZlkcMMzMLIsDhpmZZXHAMDOzLA4YZmaWxQHDzMyyOGCYmVkWBwwzM8vigGFmZlkcMMzMLIsDhpmZZXHAMDOzLA4YZmaWxQHDzMyydBgwJO0l6X5JiyUtk/TFlD5b0mOSFqXXuJQuSZdJWiFpiaQjunkbzMysB+T8p/cm4MSI2ChpEPBrST9L06ZFxI0t8p8CjEmvo4Ar0ruZmfVjHbYworAxjQ5Kr2hnlonAdWm+e4GhkoZ3vahmZtabsq5hSBogaRGwFrgtIu5Lky5K3U6XSNozpY0EVpZmX5XSWi5ziqQGSQ1NTU2d3wIzM+sRWQEjIrZGxDhgFHCkpMOA6cDBwBuAfYELqllxRMyKiPERMb6urq66UpuZWY+r6i6piFgP3AmcHBFrUrfTJuAa4MiUrREYXZptVEozM7N+LOcuqTpJQ9PwYOCtwO8r1yUkCZgEPJRmmQd8KN0tdTSwISLWdEPZzcysB+XcJTUcuFbSAIoAc0NE3CLpDkl1gIBFwLkp/63AqcAK4HngwzUvtZmZ9bgOA0ZELAEObyX9xDbyBzC160UzM7O+xL/0NjOzLA4YZmaWxQHDzMyyOGCYmVkWBwwzM8vigGFmZlkcMMzMLIsDhpmZZXHAMDOzLA4YZmaWxQHDzMyyOGCYmVkWBwwzM8vigGFmZlkcMMzMLIsDhpmZZXHAMDOzLDn/6b2XpPslLZa0TNIXU/pBku6TtELSDyW9JKXvmcZXpOn13bwNZmbWA3JaGJuAEyPidcA44GRJRwP/CVwSEa8C1gHnpPznAOtS+iUpn5mZ9XMdBowobEyjg9IrgBOBG1P6tcCkNDwxjZOmnyRJtSqwmZn1jqxrGJIGSFoErAVuA/4ErI+ILSnLKmBkGh4JrARI0zcA+7WyzCmSGiQ1NDU1dWkjzMys+2UFjIjYGhHjgFHAkcDBXV1xRMyKiPERMb6urq6rizMzs25W1V1SEbEeuBM4BhgqaWCaNApoTMONwGiANH0f4JlaFNbMzHpPzl1SdZKGpuHBwFuBRygCx2kp22Tg5jQ8L42Tpt8REVHDMpuZWS8Y2HEWhgPXShpAEWBuiIhbJD0MXC/pP4CFwFUp/1XAdyStAP4CnNEN5TYzsx7WYcCIiCXA4a2kP0pxPaNl+gvAe2tSOjMz6zP8S28zM8vigGFmZlkcMMzMLIsDhpmZZXHAMDOzLA4YZmaWJed3GH3S3IWNzJy/nNXrmxkxdDDTJoxl0uEjO57RzMw6pV8GjLkLG5k+ZynNm7cC0Li+melzlgI4aJiZdZN+2SU1c/7yF4NFRfPmrcycv7yXSmRmtuvrlwFj9frmqtLNzKzr+mXAGDF0cFXpZmbWdf0yYEybMJbBgwbskDZ40ACmTRjbSyUyM9v19cuL3pUL275Lysys5/TLgAFF0HCAMDPrOf02YJhZ3+LfRu36HDDMrMv826jdQ7+86G1mfYt/G7V7cMAwsy7zb6N2Dx0GDEmjJd0p6WFJyyR9KqXPkNQoaVF6nVqaZ7qkFZKWS5rQnRtgZr3Pv43aPeS0MLYA50fEIcDRwFRJh6Rpl0TEuPS6FSBNOwM4FDgZ+KakAa0t2Mx2Df5t1O6hw4veEbEGWJOGn5X0CNDeVayJwPURsQl4TNIK4EjgnhqU18z6IP82avdQ1V1SkuqBw4H7gGOBj0v6ENBA0QpZRxFM7i3NtopWAoykKcAUgAMOOKAzZTezPsS/jdr1ZV/0ljQE+DHwTxHxV+AK4JXAOIoWyNeqWXFEzIqI8RExvq6urppZzcysF2QFDEmDKILF9yJiDkBEPBURWyNiG3AlRbcTQCMwujT7qJRmZmb9WM5dUgKuAh6JiK+X0oeXsr0beCgNzwPOkLSnpIOAMcD9tSuymZn1hpxrGMcCZwFLJS1KaZ8DzpQ0DgjgceAfACJimaQbgIcp7rCaGhFbMTOzfi3nLqlfA2pl0q3tzHMRcFEXymVmZn2Mf+ltZmZZHDDMzCyLA4aZmWVxwDAzsywOGGZmlsUBw8zMsjhgmJlZFgcMMzPL4oBhZmZZHDDMzCyLA4aZmWVxwDAzsywOGGZmlsUBw8zMsjhgmJlZFgcMMzPL4oBhZmZZcv7Te7SkOyU9LGmZpE+l9H0l3Sbpj+n95Sldki6TtELSEklHdPdGmJlZ98tpYWwBzo+IQ4CjgamSDgEuBG6PiDHA7Wkc4BRgTHpNAa6oeanNzKzHdRgwImJNRDyYhp8FHgFGAhOBa1O2a4FJaXgicF0U7gWGShpe64KbmVnPquoahqR64HDgPmD/iFiTJj0J7J+GRwIrS7OtSmlmZtaPZQcMSUOAHwP/FBF/LU+LiACimhVLmiKpQVJDU1NTNbOamVkvyAoYkgZRBIvvRcSclPxUpaspva9N6Y3A6NLso1LaDiJiVkSMj4jxdXV1nS2/mZn1kJy7pARcBTwSEV8vTZoHTE7Dk4GbS+kfSndLHQ1sKHVdmZlZPzUwI8+xwFnAUkmLUtrngIuBGySdAzwBvC9NuxU4FVgBPA98uJYFNjOz3tFhwIiIXwNqY/JJreQPYGoXy2VmZn2Mf+ltZmZZHDDMzCyLA4aZmWVxwDAzsywOGGZmlsUBw8zMsjhgmJlZFgcMMzPL4oBhZmZZHDDMzCyLA4aZmWVxwDAzsywOGGZmlsUBw8zMsjhgmJlZFgcMMzPL4oBhZmZZHDDMzCxLhwFD0tWS1kp6qJQ2Q1KjpEXpdWpp2nRJKyQtlzShuwpuZmY9q8P/9AZmA5cD17VIvyQivlpOkHQIcAZwKDAC+KWkV0fE1hqU1bpo7sJGZs5fzur1zYwYOphpE8Yy6fCRvV0sM+snOmxhRMSvgL9kLm8icH1EbIqIx4AVwJFdKJ/VyNyFjUyfs5TG9c0E0Li+melzljJ3YWNvF83M+omuXMP4uKQlqcvq5SltJLCylGdVStuJpCmSGiQ1NDU1daEYlmPm/OU0b96xode8eSsz5y/vpRKZWX/T2YBxBfBKYBywBvhatQuIiFkRMT4ixtfV1XWyGJZr9frmqtLNzFrqVMCIiKciYmtEbAOuZHu3UyMwupR1VEqzXjZi6OCq0s3MWupUwJA0vDT6bqByB9U84AxJe0o6CBgD3N+1IlotTJswlsGDBuyQNnjQAKZNGNtLJTKz/qbDu6Qk/QA4HhgmaRXwr8DxksYBATwO/ANARCyTdAPwMLAFmOo7pPqGyt1QvkvKzDpLEdHbZWD8+PHR0NDQ28UwM+tXJD0QEeN7an3+pbeZmWVxwDAzsywOGGZmlsUBw8zMsjhgmJlZlpyHD5rtlvywRrMdOWCYtaLysMbK87cqD2sEHDRst+UuKbNW+GGNZjtzwDBrhR/WaLYzBwyzVvhhjWY7c8Awa4Uf1mi2M1/0NmuFH9ZotjMHDLM2TDp8pAOEWYm7pMzMLIsDhpmZZXHAMDOzLA4YZmaWxQHDzMyy9Im/aJXUBDzRydmHAU/XsDi7A9dZdVxf1XF9Vacr9XVgRNTVsjDt6RMBoyskNfTkf9ruClxn1XF9Vcf1VZ3+VF/ukjIzsywOGGZmlmVXCBizersA/ZDrrDqur+q4vqrTb+qr31/DMDOznrErtDDMzKwHOGCYmVmWHgkYkv5Z0jJJSyQtknRUSj9U0t2SfiLpk1Uuc4akxrS8hyS9q5NlmyHpM52Zt6skbS2V/0eSXlrFvOMkndrJ9V6a6m6PUtrZki7vzPK6S4v6+YmkoSl9hKQbu7Dc2ZJOqyJ/t+wjkn5b62Vmrvd/S7pe0p8kPSDpVkmv7qZ1demz6g6l/WqxpAcl/Z+MeTZWuY6NLcar/n5JepekC6uZp4PlDZX0j11ZRrcHDEnHAO8AjoiI1wJvAVYCRMSyiHhjRLwzIi7rxOIviYhxwHuBq8sHwH6iOSLGRcRhwN+Ac3NmkjQQGAdUHTBSHb2b4jN4c7XzZyxfNfwcyvXzF2AqQESsjojsA35fFRE7HajSZ9ttJAm4CVgQEa+MiNcD04H9u2N9ffSzquxXr6PY9i/3doFakjQwIuZFxMU1XOxQoG8HDGA48HREbAKIiKcjYjWApC9I+l06g5yVdubK2fO9qUVyk6SXt7eCiHgE2AIMkzQ3nTUtkzSlkqcc8SWdJml2y+VUu94auxt4laR90zYsSWV5bSrbDEnfkfQb4DvAvwGnpzOl09uarxXHA8uAK4AzW8sgqU7Sj9Nn8ztJx5bSb0t1+21JT0gaJqle0nJJ1wEPAaMlTUvzLpH0xRrUzz3AyFSOekkPpeG9JF0jaamkhZJOaGV7JOnyVMZfAq8oTXu9pLvSPjNf0vD2CiHpY2m7Fqc6emlKny3pMkm/lfRouQXTVl1U9klJx6toac8DHs7Zpi44AdgcEd+qJETEYmChpNvTGfdSSRNT2eol/T5t3x8kfU/SWyT9RtIfJR2Z8lX2z3tS+sdK81c+q7MlzZH085TnK6W6uEJSQ9q3ynV0saSHU919tYb1ULE3sK60vnb327QvzVRxzFoq6fRqV5jq5I60jtslHZDSZ0v6lqT7gK+o1CpJ3/PKq1nSm9v6zqfP4mpJC9K+WOm9uRh4ZVrGzJzt3UlEdOsLGAIsAv4AfBN4c2navqXh7wDvTMNLKvkoDoyXtrLcGcBn0vBRwGpAlWUCgykOXvul8Y2leU8DZreynA7XW+O62ZjeBwI3A/8P+G/gX1P6icCiUjkfAAan8bOBy0vLanW+VtZ5JXAWxRelERjUcnnA94Hj0vABwCNp+HJgeho+GQiKxxrUA9uAo9O0t1HcKiiKk5JbgDd1oX4GAD8CTk7j9cBDafh84Oo0fDDwZ2CvFst5D3BbWs4IYH3aBwYBvwXqUr7TK8tqZ1/br5T+H8An0vDsVMY9gEOAFR3VRWn7jgeeAw7K3aYu7HOfpGiZt0wfCOydhocBK1KZ6ylOxv4+lf8B4Oo0bSIwt1RHiym+d8MoWrAjWnxWZwOPAvsAe1E8Dmh0+ViQPqMFwGuB/YDlbL+bc2iN6mArxTHp98AG4PVVfFb/t7Qv7Z8+m+HtrKPy+jPbv18/ASan4Y+U6nB2WueA1r7jKe2dFCeXg2j/WPFbYM/0WTyT8r/4WXT2e9rtLYyI2Ai8HpgCNAE/lHR2mnyCpPskLU0bfKikfSh2jLtSnmuBN7Wx+E9LWgR8FTg9ilr4pKTFwL3AaGBMTjmrXG+tDE7lb6DYoa4CjqMInkTEHcB+kvZO+edFRHMby2pvPgAkvYSiG2tuRPwVuA+Y0Mqy3gJcnso2D9hb0pC0juvTOn5O6cwMeCIi7k3Db0uvhcCDFAe9rM+hhUr9PEnx5bytlTzHAd9NZfo9xUGoZX/8m4AfRMTWKFq3d6T0scBhwG1pPZ8HRnVQpsNSa2Ap8AHg0NK0uRGxLSIeZnsXT25d3B8Rj1WxTbUm4EuSlgC/pGjNVbbhsYhYGhHbKFqnt6fv2lKKg1DFzRHRHBFPA3cCR7ayntsjYkNEvAA8DByY0t8n6UGKejqUIuhuAF4ArpL0HuD5Gm1rpUvqYIoTn+skibzP6ji270tPAXcBb2hnHeOi6Db/QmnaMRQnZVB8Z48rTftRRGxtrdCSxgAzgfdFxGba/87/NCI2pc9iLa13OVb9Pe2Rv2hNFbAAWJC+aJMlXU/R4hgfESslzaA466jGJRHxYjNV0vEUB7tjIuJ5SQtKyyz/4KTa9XSX5rQzvajYb9v0XBfXN4GiH3NpWs9LgWaKM4uyPShaCy90smwCvhwR/7+L5W2OiHEqun3mU1zD6My1rrYIWBYRx1Qxz2xgUkQsTic+x5embWqx7Mp7Tl109bPNtYyiddXSB4A6irPtzZIeZ/v3pLxd20rj29jxGNLyR12t/cirvKytwEBJBwGfAd4QEetUdBfvFRFbUpfXSanMH6c4sayZiLhH0jCKba/VftsVre4H6YTtBuBjEbEmYzk71XNri6XK7e2Ji95jU2SsGEdxxlTZGZ9OlXEaQERsANZJemOafhZFFM+xD7AuBYuDgaNL056S9Bptv+i7gy6ut5bupvjyVgLg06k10NKzwMuqnO9M4KMRUR8R9cBBwFu1891ZvwA+URmRNC4N/gZ4X0p7G9DWNZ75wEfS54qkkZJe0UbeDkXE8xRdKedr54vC5e1+NUUX2vIWeX5Fcb1ngIprFJVrAsuBOhU3ZiBpkKRDad/LgDWSBlXW24HO1EXONnXWHcCe2vH63mspzvTXpmBxAtvP/KsxUcX1l/0oAunvMufbm+JAuUHS/sApqVxDgH0i4lbg08DrOlGmdqXjxACKbpucz+putu9LdRSt1/urXO1vgTPS8AfSMjtyNXBNRJTz5h4rKloeM6reN3uihTEE+G8Vt0RuoegbnRIR6yVdSXGd4Ul23LkmA99KB7JHgQ9nruvnwLmSHqH4gt1bmnYhxZl0E0UX0JBW5u/semtpBsUdX0somuCT28h3J3Bh6kr5ckfzpW06mdKdWBHxnKRfU/SLln0S+EZa1kCKA+65wBeBH0g6i+Ii9JMUO+EOdRkRv5D0GuCe1CrZCHyQomncKRGxMJXnTHb8gn0TuCK1XLcAZ0e6waLkJooz04cpuv7uScv8m4qL05elLsmBwKUUZ+FlA9l+xvYvFF15Ten9ZbSjk3WRs02dEhEh6d3ApZIuoOjyeZxi/7ksrbOBon+/Wkso9sthwL9HxGpJ9RllWixpYVrnSooTEyjq9mZJe1GcDZ/XiTK1ptLVSVru5NQLkvNZ3UTRpbSYogX12Yh4ssr1fwK4RtI0iv2o3eOMpAMpTqhfLekjKfmj5B8rAIiIZ1TcrPAQ8LOImFbtvulHg1g2SXsCW1NXwTHAFS271HZFkm4CrkxnutaK1KW8sdxFbLueHrmGYbuMA4AbUrfe34CP9XJ5ul064/4DRTed2W7NLQwzM8vS334ZbWZmvcQBw8zMsjhgmJlZFgcMMzPL4oBhZmZZ/gdhUG0eMuZmlgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig5=plt.scatter(city,df_property)\n",
    "plt.title('City v/s Property')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d2738d47",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'City v/s Fire')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig5=plt.scatter(city,df_fire)\n",
    "plt.title('City v/s Fire')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a170d6b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'City v/s Total')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig5=plt.scatter(city,df_total)\n",
    "plt.title('City v/s Total')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2543f81",
   "metadata": {},
   "source": [
    "#End of Part 1 of the assignment\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7cbce529",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x11dfd1d8970>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_prime=data['property tax (R$)']\n",
    "plt.scatter(data['floor'],df_prime)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "02149a7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x11dfd311220>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['area'],df_prime)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1394e555",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x11dfd1ca6a0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['parking spaces'],df_prime)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c8e637eb",
   "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>city</th>\n",
       "      <th>area</th>\n",
       "      <th>rooms</th>\n",
       "      <th>bathroom</th>\n",
       "      <th>parking spaces</th>\n",
       "      <th>floor</th>\n",
       "      <th>animal</th>\n",
       "      <th>furniture</th>\n",
       "      <th>hoa (R$)</th>\n",
       "      <th>rent amount (R$)</th>\n",
       "      <th>property tax (R$)</th>\n",
       "      <th>fire insurance (R$)</th>\n",
       "      <th>total (R$)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>São Paulo</td>\n",
       "      <td>70</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>acept</td>\n",
       "      <td>furnished</td>\n",
       "      <td>2065</td>\n",
       "      <td>3300</td>\n",
       "      <td>211</td>\n",
       "      <td>42</td>\n",
       "      <td>5618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>São Paulo</td>\n",
       "      <td>320</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>acept</td>\n",
       "      <td>not furnished</td>\n",
       "      <td>1200</td>\n",
       "      <td>4960</td>\n",
       "      <td>1750</td>\n",
       "      <td>63</td>\n",
       "      <td>7973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Porto Alegre</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>acept</td>\n",
       "      <td>not furnished</td>\n",
       "      <td>1000</td>\n",
       "      <td>2800</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>3841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Porto Alegre</td>\n",
       "      <td>51</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>acept</td>\n",
       "      <td>not furnished</td>\n",
       "      <td>270</td>\n",
       "      <td>1112</td>\n",
       "      <td>22</td>\n",
       "      <td>17</td>\n",
       "      <td>1421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>São Paulo</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>not acept</td>\n",
       "      <td>not furnished</td>\n",
       "      <td>0</td>\n",
       "      <td>800</td>\n",
       "      <td>25</td>\n",
       "      <td>11</td>\n",
       "      <td>836</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           city  area  rooms  bathroom  parking spaces floor     animal  \\\n",
       "0     São Paulo    70      2         1               1     7      acept   \n",
       "1     São Paulo   320      4         4               0    20      acept   \n",
       "2  Porto Alegre    80      1         1               1     6      acept   \n",
       "3  Porto Alegre    51      2         1               0     2      acept   \n",
       "4     São Paulo    25      1         1               0     1  not acept   \n",
       "\n",
       "       furniture  hoa (R$)  rent amount (R$)  property tax (R$)  \\\n",
       "0      furnished      2065              3300                211   \n",
       "1  not furnished      1200              4960               1750   \n",
       "2  not furnished      1000              2800                  0   \n",
       "3  not furnished       270              1112                 22   \n",
       "4  not furnished         0               800                 25   \n",
       "\n",
       "   fire insurance (R$)  total (R$)  \n",
       "0                   42        5618  \n",
       "1                   63        7973  \n",
       "2                   41        3841  \n",
       "3                   17        1421  \n",
       "4                   11         836  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "42c251dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x11dfd3e67c0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fire=data['fire insurance (R$)']\n",
    "plt.scatter(data['rooms'],fire)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "7b078861",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x11dfd41a340>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['bathroom'],fire)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "0c549791",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x11dff01d130>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['hoa (R$)'],fire)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "39ad4d37",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "a5753b32dc3108797c5c6a7aa0819faad820c0f59fd79d2fa5c3f64d2c17498f"
  },
  "kernelspec": {
   "display_name": "Python 3.9.6 64-bit",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}