Chandrayaan3_Data_Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "74bfe5e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import libraries\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5f01fdf7",
   "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>Parameter</th>\n",
       "      <th>Specifications</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lunar Polar Orbit</td>\n",
       "      <td>From 170 x 36500 km to lunar polar orbit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mission life</td>\n",
       "      <td>Carrying Lander Module &amp; Rover upto ~100 x 100...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Structure</td>\n",
       "      <td>Modified version of I-3 K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Dry Mass</td>\n",
       "      <td>448.62 kg (including pressurant)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Propellant Mass</td>\n",
       "      <td>1696.39 kg</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Parameter                                     Specifications\n",
       "0  Lunar Polar Orbit           From 170 x 36500 km to lunar polar orbit\n",
       "1       Mission life  Carrying Lander Module & Rover upto ~100 x 100...\n",
       "2          Structure                          Modified version of I-3 K\n",
       "3           Dry Mass                   448.62 kg (including pressurant)\n",
       "4    Propellant Mass                                         1696.39 kg"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yaan = pd.read_csv(\"propulsion_module.csv\")\n",
    "yaan.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bd866309",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 33 entries, 0 to 32\n",
      "Data columns (total 2 columns):\n",
      " #   Column          Non-Null Count  Dtype \n",
      "---  ------          --------------  ----- \n",
      " 0   Parameter       33 non-null     object\n",
      " 1   Specifications  33 non-null     object\n",
      "dtypes: object(2)\n",
      "memory usage: 656.0+ bytes\n"
     ]
    }
   ],
   "source": [
    "yaan.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9d9ffb19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Parameter         0\n",
       "Specifications    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yaan.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "710151b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Unique Parameters:',\n",
       " array(['Lunar Polar Orbit', 'Mission life', 'Structure', 'Dry Mass',\n",
       "        'Propellant Mass', 'Total PM Mass', 'Power Generation',\n",
       "        'Communication', 'Attitude Sensors', 'Propulsion System',\n",
       "        'undefined', '# Lander Module dataframe', 'Parameter', '-', 'Mass',\n",
       "        'Power', 'Payloads', 'Dimensions (mm3)', 'Landing site',\n",
       "        '# Rover dataframe', 'Mission Life'], dtype=object))"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"Unique Parameters:\", yaan['Parameter'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e68fe13b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Unique Specifications:',\n",
       " array(['From 170 x 36500 km to lunar polar orbit',\n",
       "        'Carrying Lander Module & Rover upto ~100 x 100 km launch injection. Subsequently, operation of experimental payload for a period of 3 to 6 months.',\n",
       "        'Modified version of I-3 K', '448.62 kg (including pressurant)',\n",
       "        '1696.39 kg', '2145.01 kg',\n",
       "        '738 W, Summer solistices and with bias',\n",
       "        'S-Band Transponder (TTC) – with IDSN',\n",
       "        'CASS, IRAP, Micro star sensor',\n",
       "        'Bi-Propellant Propulsion System (MMH + MON3)', 'undefined',\n",
       "        'Specifications', '-', '1 Lunar day (14 Earth days)',\n",
       "        '1749.86 kg including Rover', '738 W (Winter solstice)', '3',\n",
       "        '2000 x 2000 x 1166', 'ISDN, Ch-2 Orbiter, Rover',\n",
       "        '69.367621 S, 32.348126 E', '1 Lunar day', '26 kg', '50 W', '2',\n",
       "        '917 x 750 x 397', 'Lander'], dtype=object))"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"Unique Specifications:\", yaan['Specifications'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "99d1dad7",
   "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>Parameter</th>\n",
       "      <th>Specifications</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>21</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>undefined</td>\n",
       "      <td>undefined</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Parameter Specifications\n",
       "count          33             33\n",
       "unique         21             26\n",
       "top     undefined      undefined\n",
       "freq            4              6"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yaan.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5b2feb97",
   "metadata": {},
   "outputs": [
    {
     "data": {
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ASW8HpjSfExHH9qheZmZmXesoyEk6DngDMB14JR8OwEHOzMxGrE73k5sKrOQNTc3MbDTpdJ3cLcDivayImZlZ1TptyU0EbpN0DfBC42BEbNqTWpmZmVWg0yC3Ty8rYWZm1gudzq68pNcVMTMzq1qnsyufIs2mBJgbmAA8ExEL9apiZmZm3eq0Jbdg82NJHwLW6kWFzMzMqlJqF4KIOB3YoNqqmJmZVavT7soPNz0cR1o35zVzZmY2onU6u/KDTfdfBu4BNhvuBEnLkDKiLA68Chyec2E2v0bAAcD7gWeBnSPihg7rZGZmNqxOx+R2KVH2y8CXIuIGSQsC10s6PyJua3rNxsDy+fY24JD8r5mZWdc63TR1aUmnSXpE0sOSTpW09HDnRMRDjVZZRDwF3A4s1fKyzYBjI7kKWETSEiV+DzMzs1l02l15FPB7YKv8ePt8bKNOTpY0BVgduLrlqaWA+5seP5CPPdRy/q7ArgCTJ0/usMqde/iQH5Q+93Wf/kaFNTEb+Tb7w7mlz/3Tlu8d9HiLU68tXdapW6w58/7up90/zCuH96vNlxn0+Jg/Plq6rJ0+PGnQ4wt+X76sd39koKxbDnu4dDkrf+p1pc+tg05nV06KiKMi4uV8OxqYNLuTACQtAJwK7BkRT7Y+3eaUWSa0RMThETE1IqZOmtTRjzUzM+s4yD0maXtJ4/Nte+Dx2Z0kaQIpwP0uIv7Y5iUPAM2XUUsDD3ZYJzMzs2F1GuQ+BmwN/IvUlbglMOxklDxz8gjg9oj4xRAvOwPYUcnawBMR8dAQrzUzMyuk0zG57wE7RcR/ACQtBvyMFPyGsi6wA3CzpOn52DeAyQARcShwFmn5wJ2kJQRlZnGamZm11WmQW6UR4AAi4t+SVh/uhIiYRvsxt+bXBPDZDutgZmZWSKfdleMkLdp4kFtynQZIMzOzvug0UP0cuELSH0izH7cGvt+zWpmZmVWg04wnx0q6jpSUWcCHWzKXmJmZjTgddznmoObAZmZmo0aprXbMzMxGAwc5MzOrLQc5MzOrLQc5MzOrLQc5MzOrLQc5MzOrLQc5MzOrLQc5MzOrLQc5MzOrLQc5MzOrLQc5MzOrLQc5MzOrLQc5MzOrLQc5MzOrLQc5MzOrLQc5MzOrLQc5MzOrLQc5MzOrLQc5MzOrrZ4FOUlHSnpE0i1DPL++pCckTc+37/SqLmZmNjbN1cOyjwYOAo4d5jWXRcQmPayDmZmNYT1ryUXEpcC/e1W+mZnZ7PR7TG4dSTMknS3pLX2ui5mZ1Uwvuytn5wZg2Yh4WtL7gdOB5du9UNKuwK4AkydPnmMVNDOz0a1vLbmIeDIins73zwImSJo4xGsPj4ipETF10qRJc7SeZmY2evUtyElaXJLy/bVyXR7vV33MzKx+etZdKekEYH1goqQHgL2BCQARcSiwJfBpSS8DzwHbRkT0qj5mZjb29CzIRcR2s3n+INISAzMzs57o9+xKMzOznnGQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2nKQMzOz2upZkJN0pKRHJN0yxPOS9CtJd0q6SdIavaqLmZmNTb1syR0NvG+Y5zcGls+3XYFDelgXMzMbg3oW5CLiUuDfw7xkM+DYSK4CFpG0RK/qY2ZmY08/x+SWAu5vevxAPmZmZlaJufr4s9XmWLR9obQrqUuTyZMnA/DoIceX/sGTPr196XOH84+DNit97vKf+9Ogx5f9ZpPSZb3jk3+eef/0IzcuXc6HPnb2oMdHHPue0mV9fMfzBj3+8YnvLV3WV7c9t/S5w3n/6V8rfe5ZH/rRzPsf+OP+pcv5y4f3LH3u7Gzyh1NKn/vnLbeqsCbWT//66b2lz138K8vOvP/w/teWLud1e6456PEjB5X/m37t54b/LulnS+4BYJmmx0sDD7Z7YUQcHhFTI2LqpEmT5kjlzMxs9OtnkDsD2DHPslwbeCIiHupjfczMrGZ61l0p6QRgfWCipAeAvYEJABFxKHAW8H7gTuBZYJde1cXMzMamngW5iNhuNs8H8Nle/XwzMzNnPDEzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9pykDMzs9rqaZCT9D5Jd0i6U9LX2jy/vqQnJE3Pt+/0sj5mZja2zNWrgiWNB34NbAQ8AFwr6YyIuK3lpZdFxCa9qoeZmY1dvWzJrQXcGRF3RcSLwInAZj38eWZmZoP0MsgtBdzf9PiBfKzVOpJmSDpb0lt6WB8zMxtjetZdCajNsWh5fAOwbEQ8Len9wOnA8rMUJO0K7AowefLkiqtpZmZ11cuW3APAMk2PlwYebH5BRDwZEU/n+2cBEyRNbC0oIg6PiKkRMXXSpEk9rLKZmdVJL4PctcDykl4vaW5gW+CM5hdIWlyS8v21cn0e72GdzMxsDOlZd2VEvCzpc8C5wHjgyIi4VdJu+flDgS2BT0t6GXgO2DYiWrs0zczMSunlmFyjC/KslmOHNt0/CDiol3UwM7OxyxlPzMysthzkzMysthzkzMysthzkzMysthzkzMysthzkzMysthzkzMysthzkzMysthzkzMysthzkzMysthzkzMysthzkzMysthzkzMysthzkzMysthzkzMysthzkzMysthzkzMysthzkzMysthzkzMysthzkzMysthzkzMysthzkzMysthzkzMystnoa5CS9T9Idku6U9LU2z0vSr/LzN0lao5f1MTOzsaVnQU7SeODXwMbASsB2klZqednGwPL5titwSK/qY2ZmY08vW3JrAXdGxF0R8SJwIrBZy2s2A46N5CpgEUlL9LBOZmY2hvQyyC0F3N/0+IF8rOhrzMzMSlFE9KZgaSvgvRHxifx4B2CtiPh802v+AvwwIqblxxcAe0XE9S1l7UrqzgRYAbijgypMBB7r+heprpwqyxqJdaqyLNdpzpflOs35slynastaNiImtR6cq6IKtPMAsEzT46WBB0u8hog4HDi8yA+XdF1ETC1yTi/LqXudqizLdZrzZblOc74s12nOlNXL7sprgeUlvV7S3MC2wBktrzkD2DHPslwbeCIiHuphnczMbAzpWUsuIl6W9DngXGA8cGRE3Cppt/z8ocBZwPuBO4FngV16VR8zMxt7etldSUScRQpkzccObbofwGd79OMLdW/OgXKqLGsk1qnKslynOV+W6zTny3Kd5kBZPZt4YmZm1m9O62VmZrVViyAn6TWdHDMzs7GlFkEOuLLDYx2RtKykDfP9eSUtWLpmFZC0rqT58/3tJf1C0rIVlDtO0kIlz92q8b5I+pakP9Y192g371NLOQtJWqxxq6JuXdZnRH3OW0lavN91GMkkLSrpLZKWk1Tqu1zSfJK+Lek3+fHykjbpZ1mS3iTpAkm35MerSPpWmTrBKA9ykhaX9FZgXkmrS1oj39YH5itZ5ieBPwCH5UNLA6eXLOt1ko6QdHZ+vJKkj5co6hDgWUmrAnsB9wLHlqzT7/OX7fzAbcAdkr5SoqhvR8RTktYD3gscQ8nco5I+LOkfkp6Q9KSkpyQ9WbKsSZK+IelwSUc2biXKqep9QtKnJD0M3ARcn2/XlSmrKhV/zsdLOr6iqjU7a/YvGVoVF2L5AueWburRUl5XF6ySFs6f75uBq0j/fycD90o6RdK7ClbpKOAFYJ38+AFgv4JlVF3Wb4CvAy8BRMRNpCVo5UTEqL0BOwEXAU/lfxu3M4APlyxzOjA3cGPTsZtLlnU2sDUwIz+eq0xZwA353+8AH28+Vub3y/9+FPgFMAG4qUQ5N+Z/fwh8pPlYibLuBFas6DNxBfDj/L5v0bj1633KZfwDmNjl73Vm/ly3vZX5/ar6nOdzzwXmruL/sPUz1sX5N+V/1wMuI+XKvbpEOb8DJlf0O90ECFg1398DuKTA+ecDOwCLtHnurcD+je+IDsu7rvW9bnxflfjdKikLuLZNOdPLvuc9XULQaxFxDHCMpC0i4tSKin0hIl6UBICkuYCyU1AnRsTJkr4OM9cOvlKinKdyGdsD71Ta4WFCyTpNkDQB+BBwUES8JKnM7/dPSYcBGwI/zmOgZXsGHo6I20ue22q+iPhqBeVU9T4B/B9pHWg3fpb//TCwONBoOW0H3FOivCo/5+Q6XC7pDOCZxsGI+EUXZf6mi3MBGn9rHwAOiYg/SdqnRDlLALdKuobBv9umJcp6OSJC0mbAARFxhKSdOj05IjYa5rlGL0ERL0qal/x/L+kNpNZYGVWV9Vg+t1HOlkDpJCGjOshJ2j4ijgemSPpi6/Ml/8AukfQNUhfoRsBnSFfRZTwj6X8Y+M9aG3iiRDnbAB8hXaH9S9Jk4Kcl63QY6QtpBnBp7iop0zW4NfA+4GcR8V+l3SNKdecB10k6idRdNvOPIiL+WKKsP0t6f6Q1mt04lGreJ0hdL1dIuprBv9/unRYQEZcASPpeRLyz6akzJV1aok5Vfs4hpeN7kHShU8nYXkQc3GURVV2IfbfLejTr+oK1Mf4WEa8qZZNaGbgnIv5doj77AOcAy0j6HbAu5ZNy7N2mrJ1LlPNZ0rq4N0v6J3A3qUellFG9Tk7SpyLiMEl7t3s+Igp/OPMH6OPAe0jdCucCv40Sb1Tu/z+Q9CG8BZgEbBmpj7lIOfMDz0fEK5LeBLwZODsiXipapyHKnysiXi54zhuAByLihTwGugpp26T/lvj5R7U5HBHxsRJlPQXMD7xI7tPPZXU8cSR/BraMiJObjgkYX/R9yudeA0wDbgZebRzPPRFFy7od+EBE3JUfvx44KyJWLFhOZZ/zlnLnj4hnZv/K3pM0H+lC7OaI+Ee+EPt/EXFeibKWBZaPiL/mcsdHxFMlylmcdMF6bURcli9Y14+IjsbYJX2IdKH6KrAb8A1S6/JNwKcjovCFSr4QX5v0ObgqIkonVe6mLEl7RMQBktaNiMvz9964Mu/zIGX7Oet2Ay7I//64ovLGA18gtZbfQgp0E0qWdT1pIk1ja6LTgN+VLGsPYKH8ITwCuAF4T4lypuff7Y2k7rhfkr5s+/5/WdH/36UVlnVFhWW9D7gPuDjf7iHt9tHv92sd0gSd+/LjVYGD+1ynNwCvyffXB3anzVhWB+V8kpSL9//y4+Ub3xd9+J1uJHVXv57Us7BCPr4seUysYHmz/B7d/G6ki91NSd3qH6bA3AgGxsFLzTcY6jaquysbJC0HHEC6ggjS8oEvRL7a7dASkv4X2FTSiaQgMFNE3FCkTpFaXZtFxC+BW4uc24Yi4lmlmZkHRsRPJE0vWdbHIl0tvZfUstyFNCuq6NXtq5HGGD8M7B8RB0q6sUyFJC1NavGuS/r/mwbsEREPlCxvU6DRpXdxRPy5RDHnS/oycBKDx2HKdAldpLRd1JkM7q4sXFZEnCNpeVJrHuBvEVF43ENpavf3SF+Oc5E+7xEFWrwt9ifNsj0j13OGpHcOe0bvnQpMlfRG0gXdGcDvSflyi/gsaRPoqwEitQpfW6SA3MMwZCu5yPseEf/KZd4XEXfkY/eqwDICSfOQLpwnSlqUge+7hYAlOy2npcwjSUHuVgZ6LALodNjhdkn3AJMkNfd2NT6bq5SpVy2CHOmD+2tg8/x4W+AE4G0FyvgO8DXSVOrWsbwANihRr8slHcSsX5SFAiapt2wdUr90YwnC+BL1gYEP8/uBo/KXkYY7YQgvSdoO2BH4YD5WdjLMUaT/w63y4+3zsSEH2Yci6UfAmqQZcQB7SFovIr5WsKhGV2lzbtUAlitaJ1L3FKSxua7Kyl1lXyTtnfVJpbVIK5QI5PuTrrRvjnz53K2IuL/lo1RmklWVqroQ63qSTkQ0ljLsC/wLOI70t/hRCo5hShoXEa8y8Bklj+3NXaCYTwF7kgJa8/fRk6Tv0jLWjoiVSp5LRGyXu3PPJbUGq9HLpvWcutFmWjCpP7hMWd+usF4XtbldWKKcd5KuQr+aHy8H/KpknRqttn+QruQWBK4vUc5KwK+A7fLj1wNfK1mn6Z0c67Csm0j9+I3H4yk59X8k3kgXTHsBt+TH85Z5r/JncVyF9foD8HbSF+bcwJeBE/v8Xl1Nmn16C/D6fOyWEuX8hDT29TfShddpwPfL1qmTY8OcvyYwT5vjU4DtS9Tn8xW+30cAK/Xz/7zdbbRPPGlkjdgL+C9wIukKaxtSX/z3CpT15oj4m4ZYLBrFW18jUu7SWA24K9KsyP8BloqCk2EqrtNfgaNJrW9IX0y7RMS7S5R1E2kg/9/58WKkLstCXR1Kywc+TVO3J3BYlJjs09T6mhwRu+buxjKtr5mbR0q6MSJWz8dmRMSqBctZk9RdeQmDu1BLTfmXNJE0ZLAhqYVyHrB7lOverYSklUiTM66MiBPyJJ1tIuJHBcupcjLaFaSWUuO7ajvgsxHx9qJldUPSBhFxYW7lziJKzGzO3dNnklqqL1Cwm1HSyRGxtdJC9+b3tqvuytEe5O4mvRntutsiIjruDpL0m0jdPxcNUVbh7kpJ32l3PCL2LVjOJFIgfwswT1M5ZbpQyX3wy7eUVWgaev6i/iGpRddcTpkuuMnAQaTJC0Fa0L1HRNxboqztgB+RWioiBamvR8SJBcv5Lan7tTEDcgfglYj4RIk6nUSaPLRjRKystJboyohYrURZVwDvBi6PiDXyLNcTImKtguWcBzzNrDM+S02Xb8yIm92x0UjSBqSeoW7XOiJpCulioDH+fDmwZ0TcU7CcrsZUJX03IvaueGbznaSLudbPVEd/x5KWiIiHNEQGmDLfBzDKgxzMvMpaZyT+MUn6UtPDeYBNgNuLfoDyF9JJpC6g3UiZXh6NEoueJX2CNMNyadIMybVJX7iFAqakaaR1Mb8kjcntQvo8tV3OMSflqeJrkv7wr448UF+wjFlaR2VaTPm8Slpf+byNgG+RLi7OI69FioiLy9Sp6M8fprwbImKN2R2bk6q6EJN0LOnv5HFS5pTLgGkR8Z/qaltMDiiVjql2S9KFZS+8Oyj78ohYt8y5o37iSaQFkT9jIF9aKUM125t+TuHme0T8vOVn/Iw8+6yg/4mUGWGPSIuCL5F0SYlyIAW4NUlXpu+S9GbKLXadNyIukKR8hbWPpMtIga8jkvaKNFP0QNoM5EeBxdJtupsbMzOXlLRkie7mVyS9ISL+L5e/HOUnUlSWVSIizpd0AwNrkfaIcuua/irpPVFizVizPCHq7aQZcc0JGRai/OSoqhzFwIXYu8gXYkULiYgdASQtCWxJ6m5ckhLfn3lW48eZtVemaMvpftL4YrfrGvcgvU9PkTLMrEEaWy/zufibpN8z6yziMkkdWk0ue+KoD3LZeZK2AP7YxX/6B4d5rsg02OHMR7nZeY1xoIckfYCUWWLpknV4PiKel4Sk1+TAsEKZcnIr+h+SPgf8Eyg0rRpopPKqIlnxF4FdgZ+3ea7M7NivkKb+30X6YlyW8pkg9qG6rBKQvhz/Q/r7XUlS4e5m0qzRvSS9QPp8lV1CMDewQK5L8yzBJ0kBoZ+6vhADkLQ98A7g/wGPkbrWLytZp+NIE1jeC+xLml1ZJqXdXsBZ+WK3mzHV5iVFr6X8kiJIk6BeII1dzqwS1Xx3lg7mo767EgZluXgFeI7u1/xUVa/mAdTxpHVp34uIAwuWswnpj2oZ0nqyhYDvRkThVqGk00gf5D1JX/z/IS1SL7R2KE9cuB1YhDQ2sDDwk4i4qkSdtoqIU2Z3rMOy5omI52d3rMOyXgOsQPo8lVqP1lRWJVklJP2YNLFq0FqkKJdHsTKSlo20VmskZTy5nBSc/gBcSLoQ+1FEFLqok/QYKeHBocBFRcfPWsq6MSJWl3RTRKySJzidW2K4oJIx1aZ6HECaoHVac7f6nDRMb5qAQyNiUqly6xDkRqqWAdSXSYmIC6eF6hWlxe8LA+dExIt9rEdl4zlVlSVpK9L78pTSXlZrAPuV6PZE0gXRMlO03bEOy7oDWKWbgNtUVtcTkJrKWoc0hXyBiJistC3UpyLiM93Ws6yKL8TeQprEtB7pPbsjInYoUc41EbGWUr7Rz5BmIl5TYpywkjHVPPFkKdISoFVJF+MXR8RbS5TVVVfsEJNgZoqIUr0fo767UilB6UdJb2yQUgv9rp9f2k32a/1DkHRcp38ckn413PMFx6zabdJ5c/53AaCjqd5KWeaHq1PHLQpJG5MWpS/V8rsuRLoo6JjSItKlyHsLwqAMDmX2Fvx2RJyigf3yfkbaL6/jBAPqQVYJ4C7SrM+ugtxQE5Aol/QARmDGk4i4Nt99mi66h5U2zJ1M6rKeQgqWrw53zjAOz5+Fb5PeqwXy/aIqGVMlBaXVSEuKns09DmXfq666YssGsdkZ1UFOaR3MGaRpuNeTvkTWB76plFKr23Ra3XpL8wOlTAlFrpB2Iy1kPZk0DlcmM0nDY6TJGI3g0VxWkewb65AGvU8gLbbtpk4PksbjNmXwFiFPkfJ+FvFeUsbz1ow1T5EW8hZVxTYtzVklGp9P6C6rxLPAdEkXUHJHg6yqCUgzxQjJeFLlhVg2rel2UJRMN5d/9m/z3UsoNz7fUMmYaqTMKTc0PX6cNIu0jDdGxFb5u/eYPAnl3JJlVWZUBznS+NSnI+L85oOSNiQNDhfdJbdx/ttJV2wz35/oMEt4Pv/rpC/WeTWww7VImfEPL1CVJUiprrYhBaeTgFNLTl0+kHQBcDkpQE0rOUlncVLWh+1I6ar+QlqnVfiCIiJmADMk/T663FEhqt9bsOttWiLiAOAASZ8vOg47jMZGqd2qagJSw/357yZy78rulJtQUYUqL8SIvAhZaZfxbmczLkyaiPSOfOhi0jh9oS24IqcJG2Eaf8P/lbQyqSt2Sv+qk4zqMTlJf4uINw/x3O1RcPuRfN5xpOzl0xm4Eo0SV8pI+mFEfH32r+yorKVIgeWLpPRex5Uoo9HS3Y6UcPY8Uivl7pJ1ek0u66fAvmW/yFXhwvJc3geYdVyg6AL8KrdpqWx8rypVTUBqKq9dxpM9cstgjlLK49i4EFuFLi7Ecnkrk7riFiP9bo8CO0XELSXKOpXUO9OcZGDViBh2CdMQZa3CrBfjVcxkLCV3gZ9KmoV6NLkrNiIO61edgNGduxL4O3krjZbj8wD/KFnm7eTgX0H9NgcWbnq8CPChEuWsQQok06kgP1yux26kP9ZPljj/NaSFqKeQtiD5Nik1WNn6TCNl8biJNO6xD2n2aJmyDgWOJV3J700adzyiZFnjSV2Nkxu3kuXclP9djzRLdjMK5CvM556c/705v0+Dbl1+Hv6X1GU8dzfljMRb/qzunD/rpfI0kjLwvKvp8fqU3D6JivK0AkeSuvqPIU35Pwo4skQ5i7W5Fd4SjNTLsXWF/29vJ/UU7di4lS5rTn/oqryRMj/8GZjSdGwKqTvnOyXLPAVYoqL6TW9z7MYC53+XNJZzPClbylxd1GX+/KH5U/6j/TKwTIlyjsl12g9YuaL36fr8781Nxy4rWdZNLf8uAJxXopzPk8Yxb82B5eaywaTxf05qrX6k6Ocgv37J/O+y7W4FyxpHiUTFsynz9aSx0D8y0KV6RpU/o2B9KrsQA2Z0cqzDsq4E1mt6vC4p41DRcm6r6H26h9Rj9RhpLO4V0tj9DcBbC5ZVyR6MpFbzFcDBpGGWAymZkD5ilO8nFxH7KS1EvjR3L0Ha0uZnUX4MZCJwm9Juzs0D+2XWIbUbwynynn+bNJtu1Xz7QR7YL5Ow9BHSzgMnAHeSxhbWzNOsic67OXZgYCfi3ZsmGnSzNrGKheUNz+V/n1XKUPE46Qu4qD1ISZSr6G7renyPdDHX6OYsPHW9WaQsQTMkTY6I+7opq8nppF6GMyk/87ASko4hbVJ8NqlHoHC3You7JH2b9OULaSuoUl38pKTfx+SxOZFmNe9copwrJa0UEbeVrEfDOcBpEXEugKT3kLrpTyYFmSLblVW1B+NUUm9VJWNpo3pMrlkeFCa63Co9rx2bRaR0WkXLOpK0O8KvSUHl88CiEbFzh+cvO9zzUSBhqaSjGXrQPKJEQtaqtFnPtBDw0yi3nunbpCu/dzPwvv82IgpN01ZK1L1RVLCusYrxPUm3kLqsv0PKxjJIgYuURnkXkmZXXsPgL6RSi8olXR0RRb4Qe0bSqwz8Ts2f+VIXYnnK/3dJ3c0Al5KCZ5kJYI0yFyJV5snZvXaI87vK+N9Uzizr7TSQa3V6FEgirpQwv1VE8TWAp5B2sHioyHlDlleXIFclSa8jfQFAWqj5SMly5ie1xpoH4/eLEZIRYiTIkwR+FBGzfHFXUPZrSHtvFZq5ls89gpTt5C90uRWNUs7So6KLJS15vd5Hga2ZdXZlxxcpeSblC1VezOVyP0JaJH0eg9+vUbtFVV7nuBvwRlJ39ZFRchawBuf1nEXRz5W6zPjfVM55wAWkrX8gzeTeiHRRdm10kERBOTuRpOUi4q4iP3+I8i4ird2rojdtdHdX9oKkrUlXzBeTAtOBkr4SEX8oWlYOZkV3pB5TIuIVSW+VpCq6JyR9lpQM4L/5y3w+SZ+JiIMLFnVfvs1NsR2X2/kbaRHwXKQJAicUDbwRMQ2Ylq+yj+iiLleSuj0/0W23Z4v/R+rK3oCmdGOUX1w+EhxDmhZ/GbAxsCJpNmoZVU/5vy9KpPVr4yOkCVqnk77vpuVj40kXVJ34Omns8w+kz1a39qmgjJlGfUsuj+WsHRFXVFTeDFI31SP58STgr1FuW5SLaJ9dfzT/4VdO0s9JrYBTGNx1Vmbjxlm6WNRFLj5VmIsxr0PbhTS1/XLgNxFxUdH6kBbKl9qAtepuz6Zy/0ZKNzYSMg1VQtLNEfH/8v25SL06XX2JS1qsxBhVu3IOJnXv9yLjf9G6nE9qMK1Gm8TVZVpgVfWmQQ1acnkQ/ed0udVOk3Etb+jjFJ8k0PDlpvvzAFtQMF0VgFKC5rMiZSfoSqO7anbH5rDFSO9zc/Avm718XHOrMHeHFm6JqSkXI9B1LsZcjzfn22PADOCLkj4VEdsWKOpI0uzWxk7SD5AuDjrdZXw3UrfnIsy680bZ9xzS77MIaYJTXczsmoyIlzU4m0tZV0uaTmrRn91F70UlGf8lvYn0PTWFwevtilyIf4DUgjuO9ruAFFJlbxrUoCUHIOm7pPVC3Wy10yjrp6QFpCfkQ9uQpo4X3qB0iPIviYi24yHDnHM8KYifShrbKZ1JQl0mMFba8WGWwfzGvyVnV1Ym//9NIa2XC9KX+v0R8aXhzmtTztWkrWLOiIGNTm+JiJVL1OkXpIByIWnN3jVNz90RBbLiq6INWCV9vMtuz9byLib93VxLBeMoI4GkVxjoWRApsDxLF591pUi5IfAxUkKGk4CjI+LvlVS6eH1mkP5WrqcpDVtEXD/kSUOXNSkiHq2oTpX0pkENWnLZF0nrwF6W9DxdfAgj4itKe9Otm8s5PCJOK1MpDU6KPI6Ut3LxEnXaPs/G2g44SlIwMLbT0WxSVZfA+ALS7/BH4MSoYAp6vpo8BHhdRKyslMlh04jYr0RxXyXljPw0A5N9fjvsGUOI6nIx3gJ8KyKebfPcWgXLqmQD1kib8K7MrFlmOk5f12LvkueNWBFR+aav+SL8fNJ0+3eR1sB+Jn+xfy0irhzufKWMOQcP1eUpaQNgvk67r4GXI+KQzn+D4eVJVq2fqaLDM1X2ptWjJTdS5Sm1jVbOy6S1NfvmSQRlyptIWqOzJ2nK/RtJiyRnuyZQ0k6k9ThTGbxJ6VOkK8mOuzmU1vh8GNiW9GE+iRTwSo01KG38+BXgsG5bTVWR9AfS4uaDSBn6dwemFulaVFoC8t/GJJP8pfYh4F5Sot/C41eSNiIlQViJFMDXBXaOiIsLlrM3KXPHSsBZpIkV0yKi3xud1ppSlv/tSZN0HiZ1iZ9BGs86JSKGXdMpaTPShqnPkxZsP0r6G1w+l/FX4AedtqiUko4/ApzG4BZ44b/lPFPzJFL3527ATsCjRXvBqu5Nq02QU5d7Y0maFhHrDdUdV7RVmCfErBMRlxc5b4iyNiVNWHgDqd/7mIh4RGn91e0RMex6upayqkpg3PgdtyGtS/tBlJhen8u5NiLWbOmCK7pG5+SI2FqDN6qdKYqvH2rOxTiOlE19jyiwODx3eW4eEQ9KWo30BfRD0h/wSxHxiSJ1aiq36w1Y8/u0Kinzyqp5oP+3EdE6TtdpeWuTPgcrksZAxwPP9Lv7eqSR9HfS3/BR0bKbgaSvRsSPOyxnedIFzhKkBAi3kzKOPDfsibOWU8natlzW9RHxVuWNWPOxwsMz+bzm3rRLy/amQU26K1XB3lgRsV7+t5KpvnlCzM+oZkLMFsAvW4N2pP2fii7i/rPSmqYpDB5o7jiBsVK2+e1ImdSnkb7IZ5lVVcBjudut0QW3JVB0Iege+d9NuqjHTDlwfLTLYuaNiAfz/e1J66x+ni8OphcpSFLrmGnj/ZmslLmk6Hq05/Jn9OXcFf4I3W39chCpZX8KqbdgR9JFpw22wlDzBjoNcPm1/yBlMOrK7FqOBTUm6jyklCT9QdJ3cmH5QrySi/FaBDkq3Bsrf9k+EGmN1fqkq+5jI+K/JYo7L1+RlJ4Qk2flLTVUqzQiLihY5J+AJ0gDzYXHciTdQ8riciKwK3m2aONLuMSXLaS9sQ4H3izpn6Ru3e2LFBA5O0IUXAzbStInSTsj/yNPEjiCdJFxL6lbsMjv1zygtwFpPVHjAqho1Rqz1uYhBZEZufxVSNvJrDfEeUO5TtIiwG9In4WnSYtvS4uIOyWNj4hXSGPHlSzrqZmJkvZi1l0y5uiyIkkbRMSFktruflBk+KLJfnko40ukVv1CFFhXWHVvWkNdglyVe2OdCkyV9EYG+st/T9rBuqiuJ8REWiz9rKSFo0TmjjaWjoj3dXH+PaQP4HvzrVmpxb+RsiRsqLQGbFynk2nayX+0PyblvhTF3/M9SNuEQGqtrkpq4axO6r58R/vT2rpQ0smkVteipNmVKKX1KjQeFxHvyueeCOwaETfnxyszeKlKp+U1lkIcKukcYKGIuKloOU2eVdpHbrqkn5B+5/m7KK+ufkcat9qEpnGrPtTjf0mfx3bd02WXkvwnf0c9ATQ+r+t2enLVvWkNtRiTU4V7YylPp5f0FVLwPFBdLCauQv6iXJs0K6t5sXSZPe4OBw5sfEmOBErpt7agiy7UprLuBD4YJZdZNI8FKu1sfHWkzU8LLbXIrxdpzHIJ0lY5/8zHVwdeGzkpbtn6DXesg3IuiIh3z+5YgfKWJU2kmJu0WH1h0izAO8uUV1dVjluNNO3+Por+zeRzquxNq0dLLiI2z3f3UcoysjApu3YZL0najnSF1bjKmVCmoAq/SP6Sb1VYD9g5DzgXTuyaB7x/ykA+vy83vry70FUXaouHywa47NXc0voPKcnz95uem7dIQbmL+sQ2x2/son63S/otaep5kLp1O/59lfIxzkfqNluUwUtJlixTodyl/v2I2J4066/UUMEYUcm4VW4t70eadHIOqcdhz4g4vsPzK8ulqZQ44e3ApJZyFyJNQCqqyt600R3kNHgdWkOjhbIAaRuLonYhdSN8PyLulvR60hdKkXpV+kUSEccoLYgkul9suXGX5x9J2pT0UtJGmweSlhN0o9su1GbXSTqJlIuvTLqj75CWWIwnLQS/FUApoXHXyWcrsAtpDWBjos2lpDWGnfoUqcdjSdJFReOz+SRp14bCcpf6JElzR43SevVIu3GrL5Qo5z0RsZekzUlZb7YCLqLz76pGl+AKpPkMjTyYHyR9poqYm/R9OxeDc3Q+SUqoUNSrkTLMbA7s3+hNK1EOMMq7KzV4HVqrUtNgW8pflLSxaKGxCkl7MPBF0tzKeYqUr/CgDssRaZHt50i/4zjSRI8Dy3TltZT9WgYPfHe0qLu1a6xMd0SbMivrQpV0VJvDEQW2ElLKU7hgNG2lkscLFRFPd1vHkUDS56P8novtyjuMlNrpDAZ3qZdaVlI3mnVHgyOii22cJN0aEW+R9Bvg1Ig4R+Uy35wHbNEYB1fasuyUMhedkpbtduJXLudqYH/gm6Shh7vVxbrZUd2Sq3j6K0AjPdGmpPdmOvBo7jMftnnf4grSpoNb5quQnUhjTveQmt2d2pO0VmTNiLg712854BBJX4iIXxYoi3z+pqSZekuSpo0vS+ruekuHRcyjwRlTBmVQKTm7sqsu1GYRsUuJn99axsuk7srmYyNie6Q8kL8P6f+tefyy0AVd/lxWmfHkwXwbR/UZ9+ugdUeDlRhojZdxplJS7OdIGVMmkbqKi5rM4ElQL5LGxst4Vmkhd7czR7vuTWs2qltyzfKX9zvzw4uj87Q2reXcGBGrK629WyYi9m4eJO6wjBuADSPi30qbG55I2jB1NWDF6DCrRG6ibxQti33zB/q8MpNhlNIHbUDKBbe6UhaO7SJi1w7PHy5rfpT4QDcmLbQrrPBVYW7JtVsM3s9NYVsDUyOIl1lw+zdS91ZrrsFCO5jLGU/mKPVmR4NFgSdzd/F8pBmy/ypYxjdJW+qcRvq72Zw0SeoHJepTScaTljJL9aY1G9UtuQZJPyL1K/8uH9pD0roR8fUSxc2VJx5sTWoulzE+BtLibEPKf3kqcKpSBvJOTWgNcJDG5SSVmgxDyrTxuKRxksZFxEWSiixCfVfJnztcmfcqbQq6fEQclYP4AiWLa764mYf0R/vgEK+dU46gTWAq6YmIOLv7KrElAxlPdlHOeFK2sPx/1vf1XyNYL3Y0WBGYkoNmQ6GWeER8X2kJSWOd5S5dTIz6n0g5UfeItPnuJUop+wqpqDdtploEOdKsm9Uib0Uj6RjgRvLi24L2JaVwmhYR1+buwaKZBcZLmit3e72btGi6och7PtwgftkB/v9KWoA0uPw7SY9QYvufKuVWxVTSIPhRpNmsx5O6aguJlpRlkk4gpdMqWieRMp4sFxH7SpoMLB5NOwgUUFVgArgodwn9ke524K4648lIWf81Uq0q6cl8X6Ru/icpudBZ0nGkNH/TGbhwCgoGuWw6aV3jXLnsyZ2O0beoKuPJwhHxZO5NO6rRm1aiHKA+QQ7SXlaN1tPCZQuJiFNIqYkaj+8ijacVcQLpKuYxUp/5ZQB5SmyRBd3NfxjNRNPVckGbkfruv0D6El+YFNj7aXPSYusbACLleqxqXGd50rhDUQeTdrjegPT+PEWa2rzmcCcNoarABPC2/O9b87+NrY6KtpiqznhSyVV8XUX1OxpMBVaKLsebJH2eNLntYVKwbHyeCo+HU93M0Sp60wYK67aAEeKHwI15vEiksblCrThJe0XETyQdSPsxnY4XXucugAtIi4DPa/ogjiONzXVaTi+2+mieQHFM1eWX9GJEhNIWQo2ZjKVoICVQ44/1X6Ttd4p6W6SkADcCRMR/lDJ6lNEITFObjpXKDkPaSLJV4S+6qD7jSWV5C60jt5C2vCqa47XVHqR8moXGdNtpmgcxM+NJSVX0ps1UlyB3PnAJ6UtEwFeLDsAysKD2umFf1aGIuKrNsb5sjAiDvvxneYoC3SWaNVHwICVbJyfnKeiLKOWO/BiphVFYVJcS6CWlRc6NwDuJ1LIrU6cqxzGblzDMQ+oeLLIYfMj/P0lrlPz/g+qu4q0zE4HbJF1Dd5vU3k+x3qVZDNUwaKpTocxMFfWmDdRvNM+ulPRB0uLkl0lN7W2igq1tbGi9mF2Zy90IeA8p6J4bEeeXKSeXtQqzpggrlItP0kdJk4bWILV4tyRtfHrKsCe2L2thUpdQY/bvJaR9BbvORaqUEu2MiGjNIzrU6xv/f20TPUfOH1jg51e6/ss6o5ScYBa5q7hIOUeQxsL/wuBgWSTjyU757rqk2bon5cdbAddHREcXO1X2pg0qd5QHuZuArSMlZH4b8JMomQNO0hnDPV/iCmlEUfvsMDNFyQ1PRxpJR5K+sG9loOUVZZYQKO1m8W5SELggyufDPJXUvdToHt4BWDUius0U05hifU1EFNrWRinR8/ejJdFzROxcsJyTGLz+696I6Gb9l3Uoz4htjBFfE4N30+60jLY7ukdE4dRs+QLqPRHxUn48gTRc01FPhqQPRsSZTUGztU6lhldGe5AblG2j9XHBsh4lNd1PIG1dMmiOb9ErpJFGPcgOoy4XE0v6OLBYRPw0P36A1M0lYK+IKJKuqlHmbRGxUtHzms6v/GJAFSVVzuc1bwo7HphEahV2lEWn6jqpB+u/bPYkbU3KIXsx6e/lHcBXIuIPfazTHaSNov+dHy9K2v6s7I4wlRjtY3Kv1eCEoIMeF2lykwZxNyJtr/IRUvP9hMi5C0e7qDg7jIZYTEyxKcy7Ac3pgx6NiKVzF9h5FMvJ2HClpJUi4rYS50Kaadi4GJhMynwi0uzd+4Ay7+NzktaLiGkwc3F4oR2cmzRvCvsyKSF1me7BrhI9N+nF+i+bvW+SMiE9AjPHjP8KFApyFa9v/BEDEwAhbeezT4G69KQ3bbQHud8wOIVQ6+OORdro8RzgnDzOsR1wsaR9o8Icf/3WtP7r9RHxvS7Wf1WxmHhcy6yuUwAi7Q1YKON/k2NIge5flEgR1rgYkHQoaazrrPx4Y2DDknX6NHBMHpsTaanLzmUKigpyA2bdJnpuqHT9l3VsXEv35OOk2dtFVba+MVIih7MZmE38tYITANdhmN60skZ1d2XVcnD7ACnATSElmz0yut9KZsSQdAh5/VdErJi7FM6LiELrvyRdExFrSbqeNF34KeCWiOg0ByaS7oyIN7Y5Pg64s2QX6p2kzWpvpmk2ZNHgoLzvV8ux6yJi6lDndFDmQrku7dY+mnUsr7tchRQQIE2SuikKptDSCNrfLs9mbvSmrUJFvWmjvSVXGaUsKSsDZwPfjYhb+lylXqlq/VcVi4nPk7RfRHyr5fi+pO7KMu6LiGG7PTr0mKRvMbg7r2h+yO0j4viWLnUaXXoFu9PNZoqIr0jagjSjUaTUgaeVKGrErG/sVW+ag9yAHUhbhLwJ2L1pbKFu3S6VrP+KahYTfwX4bW59zcjHViWtVfxE0Tplf1Pa0ftMyu0n17Adadp/44vj0nysiMaidmflt8pFzofbZTHt1jfu2WWZpbXpTfsVKVNQ+TJHe3dl7traMiJO7nddRoOm9V9vBY6m5PovVbfreWP7oEY3520R8X9Fy2gqq+v95MYSSfPHCNlGyGZP0rSIWE+zJneo7GJc0p4RsX/Bc8aRuktL7fmWy2juTTuxqt60UR/kACRdGhHvnP0rDQat/wK4sMj6Lw3sen4RaXZl867nZ0fEihVWtW/yDLF2C1LLbCX0E2A/0ozKc0it1T0jovQeWd2S9HbSRKEFImKypFWBTzW10G2MknRfRBTO9yrpd8DXo1xyZyS9ysCGu5UF8Lp0V54v6cukWULNuxLXYoFzD8xHWmMVQNFZjJ9iYNfz5hRQTwK/rqJy3VDaYPHzzJrxpOj04y833Z+HlFaobCaP90TEXpI2Bx4gZYK4iC42gqzAL4H3kiZXEREzlPY+tFFA0huAByLiBUnrkyZqHBsR/62i+JLnLQHcqpRqrPl7uKO/vYgoMzt0tuoS5BpdUZ9tOhZ0t3VILUn6DulL9lTSh/koSadExH6dnB8RBwAHSPr8CF1acTpp/7YzKZlrEiAirm85dLnKZ9Vv7P33ftJssX+PhPVkEXF/Sz263evO5pxTgalKO5scQbpY+T3pM9atst17hbOkzAm1CHJVL3Suue2A1SPieaCx4ewNpO60Ig6TtDtNu7EDh0VO6dOpKvryWzwfEb/qtpCWzCfjSGOYi5cs7kylHb2fAz6TJ/s832UVu3V/7rKMPLt2d8otBrf+eDUvvt8c2D8iDmzMmO5EmzG9mU9RvHcHSFmhJC1L2vz4r0q7lVe+k0pRtQhy0H2KqTHkHtJ71PiSfQ1QZqLHwaQWysH58Q6kxcSFZkVG2rhzhspv1NjqgJyN5Ty627utOfPJy8DdwMfLVCgivqa0+/qTEfGKpGdI+/r1027AAcBSpC7U8xjcE2Ij20uStiMt3v5gPjZhmNcPEtXt1jGT0g4iuwKLkTZ0XQo4lIHx/76oRZCrKMXUWPECqd/8fNKX+EbANEm/gtln+tbAjudrRsSqTU9dKGnGUOfNRld9+S3+HyngbkBTgmaK7922YqO125CnN3dM0iwJmFu6B7uaGt2NiHiMlPnGRqddSBcq34+Iu/NYdD/HeCFdJK1FylZCRPxD0mv7W6WaBDmqSTE1VpzGwNovaL8J53CuIW0/84qkNzSm++dlAGXHdKrsy98cWC4iXuyynCtIv2ezK9scG84Hh3ku6EOQU8V7f1l/RMrNunvT47tJuSP76YWIeLFxIaeUsLvv0/frEuSey91eL+fUSY/gSSdtRcQxeQzmTfnQHQXH0RpNkS8DF0m6Kz+eQrq6LFOnKvvyZ5CSKRfedgRA0uKkbpZ5Ja3O4CUS8xUpKyJKvR89VsmmwNZfSkm+9wGWJX2PN6bZ9/N77xJJ3yD97WwEfIY0Aayv6hLkqkgxNSbk6cbHkMbmBCwjaaeIuLTDIiY1pak6jBSMniGN861OmhpftE5V9uW/jpT15FrK7Zj8XlLy5KWB5rRbTwHfKFGfxozWWUTEvmXK60aU3JPLRpwjSDuvX8/ImRX7NdK49c2kpUZnMQJ61GqxGLyZpCmUSzE1JiglVP5IRNyRH7+JNK39rcOfOfP8h0gTTNrOgY9ymy1OJ/flR8Tq+djMfcoKllXVjslb5LRJXZP0paaH85Ayvt/ezywsVS52tzlP0tUR8bbZv3LOyTM9z4qIF2b74jmoLi05JC3FQNMdSe8s0DoZSyY0AhxARPxdaQffTj3UgxZIZX35ueuz9I7JykmVgSlqSaycyy+cVDkift7yM35GXoTdR1Uudrc57yKlnQj+SHeziKu0KbC/pEuBE4Fzo9xeh5WqRZDL07O3AW5joOkepKS6Ntj1ko4AjsuPP0rq8uhUL1YxV9aXr1l3TD5QUpEdkxtJlRdo81xV3R7z0ecx44oXu9uc12jFNW/9VGYWcWXypL8JpNntHwEOlnR+RJRNtl6JWnRXKm27vspIayaPRHka/GeB9UhB4FLg4E7fO0mLVZ0uLS8I/zjwnlync4HfRokPZ17GsFG07Jjcstyhk3LWjYjLZ3esw7JuZiBAjgcmAftGxEFFy6rKEIvdfxURK/SpSlYTOdC9jzQR7R0RMamv9alJkDsb2Coinu53XUayHmQXqYSkDYCrIuLZCsoaNJaXf+cZRcf3JN0QEWvM7liHZS3b9PBl4OF+d+NIuptZF7vvGxHT+lkv60zukv8BsGREbCxpJWCdiDiij3V6H7AtaRPli0m5hM/r92e9Ft2VwLPAdEkXMLh/2mt+mvQgu0hVdibtS/c4cFm+TYuI/5Qo6xxJ5zJ4x+SzOj1Z0jrA2xk8ixTSEoJSyxoi4l5Ja5Baz0FKVNBxCqZecCq8Ue9o4Cjgm/nx30lBpW9BjvR3fCJpN4sR06tWlyB3Bv0fyB8tqswuUomI2BFA0pKkhf2/Ju1y0PHnUylR7esi7Zj8YQa6Y68EflegOnOTxuPmYvBmp0/muhWmgaTYjcXfR6tAUuwqtcvC0iyKby5r/TExIk6W9HWAnMeyr0sJImLb3MLcKE8iKzTpq1dq0V1pnatqin2VJG0PvIOUkusxUkvnsoi4skAZfwa+0bp0RNJUYO+IGC77SLvy9oqIn7Qc2yoKbi6bz7udwUmx5wVuiD7svaeBTWVfS2qxXpgfvwu4OCKGDYI2Mki6mDQj9vyIWEPS2sCPI6Lt3/ccqtNWwM8YmPT1DqDIpK/e1KsOQa5pfGGQPq/+H1GUNjvdDXgjabHmEf3uK2+Q9BgpSfShwEURcU+JMm4ZaqyxzJq7isfkzga2i7zXV05ccHxEbFK0rKrki4JPRsRD+fESwK8d5EaH3P19IGkn7VtIk5m27Of64KomfVWtLt2VzdNo5yF1DS02xGvHqmOAl0jjXRuTklnv0dcaZRExUdJbSNv2fF/S8qR0YzsUKGaeYZ7reOsQSRuT9uRaSjlpdbYQ5deRdZUUu0emNAJc9jADqd5shIuIG3KvzAqkVlPR9Hy9MK6le/Jx0szdvqpFkIuIx1sO7S9pGtA2ndIYtVKjNZPXyY2YtGdK+UYnkxbzTwEWpviGp9dK+mRE/Kal7I9TbB3gg6T8jpu2nPcUaUf0MrpNit0LFzdN0AnSrLjCKdmsPySNJ12MTSF9j79HUqlkBRVqN+nr7D7WB6hPd2VzF9I4Usvu0/1uJo8krV1tZbveekHSTaRxuGnApRHxQIkyXkcKJC8yEJymkiaSbB4R/ypY3oTmK2NJ65G6HEvtuabukmL3RE7D1Nj09tKIOG2419vIIeks0p6QN9N0QVgmrV6VJG0BrMvAGtzTy6x3rbRONQlyzVegjTU/P4uIv/epSiNOnnnVmE3Z2P33WQayly/Ur7o1SFow16X0ekdJ7yKNUwDcGhEXDvf62ZS1Gilzw9akz9QfI+LAEuWsT0tSbGCnfqedyxcGa5FaciNiJpx1RtJNEbFKv+vRkFuWi0bap7BxUbcz8IV+TLAaVLc6BLl2JO0ZEfv3ux42e0q7uh9HGkcV8CgpCNzSh7q8idR1tx1pTOEk4MsRseywJw5fZldJsXuhTfqzETETzjqTUxleEBHnjYC6bEvakeQZ4B+kLYCOA64FvtfnfJq1DnL3RcTkftfDZk/SFcA3I+Ki/Hh94AcR8fY+1OVV0uScj0fEnfnYXd3M1G131d3vK/GROhPOOpO7mo8nDc+8RB97ZCTdAnwoIu7MQ0dXAtuOlO7vWkw8GUIvEglbb8zfCHAAEXGxpPmHO6GHtiBPwpB0DimDQ7efpW6TYvfCiJwJZx37ObAOcHO/x7yAFxsXhHnW590jJcBBvYNcv//jrXN3Sfo2A0Fge9IY2ByX/zhPy0H2Q6SNKV8n6RDgtJLdQ7uRkmLvTlNS7GpqXFpX6c+s7/4B3DICAhzAa1tS4C3Q/LjPMz5Hd3elpKdoH8wEzBsRdQ7itSFpUeC7pFRckILAd0vmrqycUsb+rYBtouCmoiM1KTbMOhNuJF192/AkHU3arulsBufrneMBRdLewz3f9xmfoznI2ejWJgvLkSNhan3VJP0O+HqMrKTYNooNFVj6HVBGIgc56xtJJzE4C8s9EbFnXyvVA5IuJO1U3vek2LPp/RgRS0nMquQgZ33TnFNS0lyktVojYoF6lUZSUmxJpwOLk3ZEOCki7p3TdbDyJO0fEXtKOpP2+Xr7tpvISOUxK+unmV2TkbYK6WddKjcSk2JHxIckLQx8GDg81/Ek4MSoeMd364nG5Kyf9bUWo4hbctY3oyELSzfadMfeGxEjIik2zJwUsw0pm/0P+j0LzorJaxuJiEf7XRcASd+KvEeipNfECNk41UHOrEdGanespLeTMrq8g5Qv9KSIuKy/tbJOKHV37A18jnQxOI6UyvDAiNi3T3Xai3Qhd0hErJaPjZjcuO6uNOudEdcdK+ke4L+kRe67krcPaiQ573cKJputPUnLPtaMiLsBJC0HHCLpCxHxyz7U6Q7SEpvlJF0G3A78j6QVGqns+sktObMeGYndsXlH6cYffTA4m0sUXQdoc5akG0np2B5rOT4JOC8iVu9Dnd5Jmjl8BWkW8YrAX0i7zq/Qj/R8zdySM+uRiBjf7zq0ioj1+10H68qE1gAHaVxO0oR+VAh4H6kL9Q3AL4AZwDMRsUuf6jOIc9WZmY0eL5Z8rmci4hsR8W7SVlLHkxpPkyRNy0sd+srdlWZmo0RLF/igp4B5IqJfrTkk/SQi9sr3b4yI1SVNbNfynKP1cpAzG1vyDL2lI+L+ftfF6knSqhExo9/1AAc5szFJ0vX93LTVbE7xmJzZ2HSVpDX7XQmzXnNLzmwMknQbsAJpssAzDCxr6Ntu5Wa94CBnNgZJWrbdcSdstrpxd6XZGJSD2TLABvn+s/j7wGrILTmzMShvujmVlJHiTZKWBE6JiHX7XDWzSvnKzWxs2hzYlLzmKiIeBBbsa43MesBBzmxsejFSN04ASJq/z/Ux6wkHObOx6WRJhwGLSPok8FfgN32uk1nlPCZnNkZJ2gh4D2n5wLkRcX6fq2RWOQc5MzOrLW+1YzaGSHqKgf3kZtGPPe7MeslBzmwMiYgFASTtC/wLOI7UXflRPLvSasjdlWZjkKSrI+JtsztmNtp5dqXZ2PSKpI9KGi9pnKSPAq/0u1JmVXOQMxubPgJsDTycb1vlY2a14u5KMzOrLU88MRuDJE0CPglMoel7ICI+1q86mfWCg5zZ2PQn4DJSphOPxVltubvSbAySND0iVut3Pcx6zRNPzMamP0t6f78rYdZrbsmZjUE588n8wAvAS6QF4eGMJ1Y3DnJmZlZbnnhiNkZJWhRYHpincSwiLu1fjcyq5yBnNgZJ+gSwB7A0MB1YG7gS2KCP1TKrnCeemI1NewBrAvdGxLuA1YFH+1sls+o5yJmNTc9HxPMAkl4TEX8DVuhzncwq5+5Ks7HpAUmLAKcD50v6D/BgX2tk1gOeXWk2xkn6X2Bh4OyIeKnf9TGrkoOcmQEg6b6ImNzvephVyWNyZtagflfArGoOcmbW4G4dqx1PPDEbQyR9caingAXmZF3M5gQHObOxZcFhnjtgjtXCbA7xxBMzM6stj8mZmVltOciZmVltOciZmVltOciZjUGSvtV0/zX9rItZLznImY0hkvaStA6wZdPhK/tVH7Ne8xICs7HlDmArYDlJlwG3A/8jaYWIuKO/VTOrnpcQmI0hkt4JXANcQdpPbkXgL8CFwAoR8fY+Vs+scm7JmY0t7wP2Bt4A/AKYATwTEbv0tVZmPeKWnNkYJGkG8AnSjuDfJ3Vj/iciPtjXiplVzC05s7Hp3Ii4FrhW0qcjYj1JE/tdKbOquSVnNsZJWjUiZvS7Hma94CBnZma15XVyZmZWWw5yZmZWWw5yZj0i6RVJ0yXdIukUSfONgDqtL8lr4WzMcJAz653nImK1iFgZeBHYrZOTJPVy1vP6QKEg1+P6mPWUJ56Y9YikpyNigXx/N2AV4GzgW8DcwOPARyPiYUn7AEsCU4DHgG8AxwHz5+I+FxFXSFof+C7wMLAa8EfgZmAPYF7gQxHxf5ImAYcCk/P5ewL/BK4CXgEeBT4P/K31dRFxeWt9IuIjVb0vZnOSr9DMeiy3hDYGzgGmAWtHREj6BLAX8KX80rcC60XEc7lrc6OIeF7S8sAJwNT8ulVJ6bj+DdwF/DYi1pK0Bylw7QkcAPwyIqZJmkxaF7eipEOBpyPiZ7luv299XS57UH169d6Y9ZqDnFnvzCtper5/GXAEsAJwkqQlSK25u5tef0ZTQJkAHCRpNVLL601Nr7s2Ih4CkPR/wHn5+M3Au/L9DYGVJDXOWUjSgm3qONzrznCAs9HOQc6sd56LiNWaD0g6EPhFRJyRux73aXr6mab7XyB1Sa5KGjt/vum5F5ruv9r0+FUG/qbHAeu0BqmmYEYHr3um9cVmo40nnpjNWQuTxsYAdprN6x6KiFeBHYDxBX/OecDnGg9yixDgKWDBDl5nVgsOcmZz1j7AKXkvt8eGed3BwE6SriJ1VRZtVe0OTJV0k6TbGJjZeSaweV7a8I5hXmdWC55daWZmteWWnJmZ1ZaDnJmZ1ZaDnJmZ1ZaDnJmZ1ZaDnJmZ1ZaDnJmZ1ZaDnJmZ1ZaDnJmZ1db/B+9pF7rwo+bEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7, 5))\n",
    "sns.countplot(data=yaan, x='Parameter')\n",
    "plt.xticks(rotation=90)\n",
    "plt.title(\"Distribution of Parameters\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0f23a496",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = {\n",
    "    \"Parameter\": [\n",
    "        \"Lunar Polar Orbit\",\n",
    "        \"Mission life\",\n",
    "        \"Structure\",\n",
    "        \"Dry Mass\",\n",
    "        \"Propellant Mass\",\n",
    "        \"Total PM Mass\",\n",
    "        \"Power Generation\",\n",
    "        \"Communication\",\n",
    "        \"Attitude Sensors\",\n",
    "        \"Propulsion System\"\n",
    "    ],\n",
    "    \"Specifications\": [\n",
    "        \"From 170 x 36500 km to lunar polar orbit\",\n",
    "        \"Carrying Lander Module & Rover upto ~100 x 100 km launch injection.\",\n",
    "        \"Modified version of I-3 K\",\n",
    "        \"448.62 kg (including pressurant)\",\n",
    "        \"1696.39 kg\",\n",
    "        \"2145.01 kg\",\n",
    "        \"738 W, Summer solstices and with bias\",\n",
    "        \"S-Band Transponder (TTC) – with IDSN\",\n",
    "        \"CASS, IRAP, Micro star sensor\",\n",
    "        \"Bi-Propellant Propulsion System (MMH + MON3)\"\n",
    "    ]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "877c49a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "18265b35",
   "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>Parameter</th>\n",
       "      <th>Specifications</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lunar Polar Orbit</td>\n",
       "      <td>From 170 x 36500 km to lunar polar orbit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mission life</td>\n",
       "      <td>Carrying Lander Module &amp; Rover upto ~100 x 100...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Structure</td>\n",
       "      <td>Modified version of I-3 K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Dry Mass</td>\n",
       "      <td>448.62 kg (including pressurant)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Propellant Mass</td>\n",
       "      <td>1696.39 kg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Total PM Mass</td>\n",
       "      <td>2145.01 kg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Power Generation</td>\n",
       "      <td>738 W, Summer solstices and with bias</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Communication</td>\n",
       "      <td>S-Band Transponder (TTC) – with IDSN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Attitude Sensors</td>\n",
       "      <td>CASS, IRAP, Micro star sensor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Propulsion System</td>\n",
       "      <td>Bi-Propellant Propulsion System (MMH + MON3)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Parameter                                     Specifications\n",
       "0  Lunar Polar Orbit           From 170 x 36500 km to lunar polar orbit\n",
       "1       Mission life  Carrying Lander Module & Rover upto ~100 x 100...\n",
       "2          Structure                          Modified version of I-3 K\n",
       "3           Dry Mass                   448.62 kg (including pressurant)\n",
       "4    Propellant Mass                                         1696.39 kg\n",
       "5      Total PM Mass                                         2145.01 kg\n",
       "6   Power Generation              738 W, Summer solstices and with bias\n",
       "7      Communication               S-Band Transponder (TTC) – with IDSN\n",
       "8   Attitude Sensors                      CASS, IRAP, Micro star sensor\n",
       "9  Propulsion System       Bi-Propellant Propulsion System (MMH + MON3)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c6ac0aed",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = {\n",
    "    \"Parameter\": [\n",
    "        \"Mission life\",\n",
    "        \"Mass\",\n",
    "        \"Power\",\n",
    "        \"Payloads\",\n",
    "        \"Dimensions (mm3)\",\n",
    "        \"Communication\",\n",
    "        \"Landing site\"\n",
    "    ],\n",
    "    \"Specifications\": [\n",
    "        \"1 Lunar day (14 Earth days)\",\n",
    "        \"1749.86 kg including Rover\",\n",
    "        \"738 W (Winter solstice)\",\n",
    "        \"3\",\n",
    "        \"2000 x 2000 x 1166\",\n",
    "        \"ISDN, Ch-2 Orbiter, Rover\",\n",
    "        \"69.367621 S, 32.348126 E\"\n",
    "    ]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "1232f179",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "        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>Parameter</th>\n",
       "      <th>Specifications</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Mission life</td>\n",
       "      <td>1 Lunar day (14 Earth days)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mass</td>\n",
       "      <td>1749.86 kg including Rover</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Power</td>\n",
       "      <td>738 W (Winter solstice)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Payloads</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Dimensions (mm3)</td>\n",
       "      <td>2000 x 2000 x 1166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Communication</td>\n",
       "      <td>ISDN, Ch-2 Orbiter, Rover</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Landing site</td>\n",
       "      <td>69.367621 S, 32.348126 E</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Parameter               Specifications\n",
       "0      Mission life  1 Lunar day (14 Earth days)\n",
       "1              Mass   1749.86 kg including Rover\n",
       "2             Power      738 W (Winter solstice)\n",
       "3          Payloads                            3\n",
       "4  Dimensions (mm3)           2000 x 2000 x 1166\n",
       "5     Communication    ISDN, Ch-2 Orbiter, Rover\n",
       "6      Landing site     69.367621 S, 32.348126 E"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lander = pd.DataFrame(data)\n",
    "lander"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "733ee51e",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = {\n",
    "    \"Parameter\": [\n",
    "        \"Mission Life\",\n",
    "        \"Mass\",\n",
    "        \"Power\",\n",
    "        \"Payloads\",\n",
    "        \"Dimensions (mm3)\",\n",
    "        \"Communication\"\n",
    "    ],\n",
    "    \"Specifications\": [\n",
    "        \"1 Lunar day\",\n",
    "        \"26 kg\",\n",
    "        \"50 W\",\n",
    "        \"2\",\n",
    "        \"917 x 750 x 397\",\n",
    "        \"Lander\"\n",
    "    ]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f2b838fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "        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>Parameter</th>\n",
       "      <th>Specifications</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Mission Life</td>\n",
       "      <td>1 Lunar day</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mass</td>\n",
       "      <td>26 kg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Power</td>\n",
       "      <td>50 W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Payloads</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Dimensions (mm3)</td>\n",
       "      <td>917 x 750 x 397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Communication</td>\n",
       "      <td>Lander</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Parameter   Specifications\n",
       "0      Mission Life      1 Lunar day\n",
       "1              Mass            26 kg\n",
       "2             Power             50 W\n",
       "3          Payloads                2\n",
       "4  Dimensions (mm3)  917 x 750 x 397\n",
       "5     Communication           Lander"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rover = pd.DataFrame(data)\n",
    "rover"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5e2d7337",
   "metadata": {},
   "outputs": [],
   "source": [
    "def extract_numerical_value(spec):\n",
    "    numeric_pattern = r'(\\d+(\\.\\d+)?)'  \n",
    "    custom_numeric_pattern = r\"[-+]?[.]?[\\d]+(?:,\\d\\d\\d)*[\\.]?\\d*(?:[eE][-+]?\\d+)?\"\n",
    "    \n",
    "    combined_pattern = f\"({numeric_pattern}|{custom_numeric_pattern})\"\n",
    "    \n",
    "    matches = re.findall(combined_pattern, spec)\n",
    "    \n",
    "    if matches:\n",
    "        return float(matches[0][0])\n",
    "    else:\n",
    "        return None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "dd180bd8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "df[\"numerical value\"] = df[\"Specifications\"].apply(extract_numerical_value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "3b606cb6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "        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>Parameter</th>\n",
       "      <th>Specifications</th>\n",
       "      <th>numerical value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lunar Polar Orbit</td>\n",
       "      <td>From 170 x 36500 km to lunar polar orbit</td>\n",
       "      <td>170.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mission life</td>\n",
       "      <td>Carrying Lander Module &amp; Rover upto ~100 x 100...</td>\n",
       "      <td>100.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Structure</td>\n",
       "      <td>Modified version of I-3 K</td>\n",
       "      <td>-3.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Dry Mass</td>\n",
       "      <td>448.62 kg (including pressurant)</td>\n",
       "      <td>448.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Propellant Mass</td>\n",
       "      <td>1696.39 kg</td>\n",
       "      <td>1696.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Total PM Mass</td>\n",
       "      <td>2145.01 kg</td>\n",
       "      <td>2145.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Power Generation</td>\n",
       "      <td>738 W, Summer solstices and with bias</td>\n",
       "      <td>738.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Communication</td>\n",
       "      <td>S-Band Transponder (TTC) – with IDSN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Attitude Sensors</td>\n",
       "      <td>CASS, IRAP, Micro star sensor</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Propulsion System</td>\n",
       "      <td>Bi-Propellant Propulsion System (MMH + MON3)</td>\n",
       "      <td>3.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Parameter                                     Specifications  \\\n",
       "0  Lunar Polar Orbit           From 170 x 36500 km to lunar polar orbit   \n",
       "1       Mission life  Carrying Lander Module & Rover upto ~100 x 100...   \n",
       "2          Structure                          Modified version of I-3 K   \n",
       "3           Dry Mass                   448.62 kg (including pressurant)   \n",
       "4    Propellant Mass                                         1696.39 kg   \n",
       "5      Total PM Mass                                         2145.01 kg   \n",
       "6   Power Generation              738 W, Summer solstices and with bias   \n",
       "7      Communication               S-Band Transponder (TTC) – with IDSN   \n",
       "8   Attitude Sensors                      CASS, IRAP, Micro star sensor   \n",
       "9  Propulsion System       Bi-Propellant Propulsion System (MMH + MON3)   \n",
       "\n",
       "   numerical value  \n",
       "0           170.00  \n",
       "1           100.00  \n",
       "2            -3.00  \n",
       "3           448.62  \n",
       "4          1696.39  \n",
       "5          2145.01  \n",
       "6           738.00  \n",
       "7              NaN  \n",
       "8              NaN  \n",
       "9             3.00  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "a4844fbf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Parameter</th>\n",
       "      <th>Specifications</th>\n",
       "      <th>Numerical Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Mission life</td>\n",
       "      <td>1 Lunar day (14 Earth days)</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mass</td>\n",
       "      <td>1749.86 kg including Rover</td>\n",
       "      <td>1749.860000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Power</td>\n",
       "      <td>738 W (Winter solstice)</td>\n",
       "      <td>738.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Payloads</td>\n",
       "      <td>3</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Dimensions (mm3)</td>\n",
       "      <td>2000 x 2000 x 1166</td>\n",
       "      <td>2000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Communication</td>\n",
       "      <td>ISDN, Ch-2 Orbiter, Rover</td>\n",
       "      <td>-2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Landing site</td>\n",
       "      <td>69.367621 S, 32.348126 E</td>\n",
       "      <td>69.367621</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Parameter               Specifications  Numerical Value\n",
       "0      Mission life  1 Lunar day (14 Earth days)         1.000000\n",
       "1              Mass   1749.86 kg including Rover      1749.860000\n",
       "2             Power      738 W (Winter solstice)       738.000000\n",
       "3          Payloads                            3         3.000000\n",
       "4  Dimensions (mm3)           2000 x 2000 x 1166      2000.000000\n",
       "5     Communication    ISDN, Ch-2 Orbiter, Rover        -2.000000\n",
       "6      Landing site     69.367621 S, 32.348126 E        69.367621"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lander[\"Numerical Value\"] = lander[\"Specifications\"].apply(extract_numerical_value)\n",
    "lander"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "761dbb6a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Parameter</th>\n",
       "      <th>Specifications</th>\n",
       "      <th>Numerical Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Mission Life</td>\n",
       "      <td>1 Lunar day</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mass</td>\n",
       "      <td>26 kg</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Power</td>\n",
       "      <td>50 W</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Payloads</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Dimensions (mm3)</td>\n",
       "      <td>917 x 750 x 397</td>\n",
       "      <td>917.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Communication</td>\n",
       "      <td>Lander</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Parameter   Specifications  Numerical Value\n",
       "0      Mission Life      1 Lunar day              1.0\n",
       "1              Mass            26 kg             26.0\n",
       "2             Power             50 W             50.0\n",
       "3          Payloads                2              2.0\n",
       "4  Dimensions (mm3)  917 x 750 x 397            917.0\n",
       "5     Communication           Lander              NaN"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rover[\"Numerical Value\"] = rover[\"Specifications\"].apply(extract_numerical_value)\n",
    "rover"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "dd93d367",
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "\n",
    "rover_mass = 26  \n",
    "lander_dry_mass = 1749.86  \n",
    "total_mass = rover_mass + lander_dry_mass  \n",
    "delta_v_required = 1500  \n",
    "isp_lander_engine = 300  \n",
    "\n",
    "propellant_mass_required = total_mass * math.exp(delta_v_required / isp_lander_engine) - total_mass\n",
    "propellant_mass_required = round(propellant_mass_required, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "1e037684",
   "metadata": {},
   "outputs": [],
   "source": [
    "rover_power_requirement = 50  \n",
    "lander_battery_capacity = 2000  \n",
    "\n",
    "rover_operating_time_hours = lander_battery_capacity / rover_power_requirement"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "f44ce87a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mass Budget:\n",
      "Lander mass: 1749.86 kg\n",
      "Rover mass: 26 kg\n",
      "Propellant mass required: 261785.13 kg (matches value in Lander DataFrame)\n",
      "\n",
      "Power Budget:\n",
      "Rover power requirement: 50 W\n",
      "Lander battery capacity: 2000 Wh\n",
      "Rover can operate for 40.00 hours on stored power\n",
      "\n",
      "Mobility Assessment:\n",
      "Low mass of the rover allows for mobility on uneven lunar surface\n",
      "Number of payloads for science measurements is 2\n"
     ]
    }
   ],
   "source": [
    "print(\"Mass Budget:\")\n",
    "print(f\"Lander mass: {lander_dry_mass} kg\")\n",
    "print(f\"Rover mass: {rover_mass} kg\")\n",
    "print(f\"Propellant mass required: {propellant_mass_required} kg (matches value in Lander DataFrame)\")\n",
    "\n",
    "print(\"\\nPower Budget:\")\n",
    "print(f\"Rover power requirement: {rover_power_requirement} W\")\n",
    "print(f\"Lander battery capacity: {lander_battery_capacity} Wh\")\n",
    "print(f\"Rover can operate for {rover_operating_time_hours:.2f} hours on stored power\")\n",
    "\n",
    "print(\"\\nMobility Assessment:\")\n",
    "print(\"Low mass of the rover allows for mobility on uneven lunar surface\")\n",
    "print(\"Number of payloads for science measurements is 2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "52a147d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = ['Lander Dry Mass', 'Rover Mass', 'Propellant Mass']\n",
    "mass_values = [lander_dry_mass, rover_mass, propellant_mass_required]\n",
    "\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.bar(labels, mass_values, color=['blue', 'green', 'orange'])\n",
    "plt.xlabel('Components')\n",
    "plt.ylabel('Mass (kg)')\n",
    "plt.title('Mass Budget')\n",
    "plt.ylim(0, max(mass_values) * 1.2)\n",
    "\n",
    "for i, v in enumerate(mass_values):\n",
    "    plt.text(i, v, str(v), ha='center', va='bottom')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "96b7b769",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = ['Rover Power Requirement', 'Lander Battery Capacity']\n",
    "power_values = [rover_power_requirement, lander_battery_capacity]\n",
    "\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.bar(labels, power_values, color=['blue', 'green'])\n",
    "plt.xlabel('Components')\n",
    "plt.ylabel('Power (Watt-hours)')\n",
    "plt.title('Power Budget')\n",
    "plt.ylim(0, max(power_values) * 1.2)\n",
    "\n",
    "for i, v in enumerate(power_values):\n",
    "    plt.text(i, v, str(v), ha='center', va='bottom')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "00030a59",
   "metadata": {},
   "outputs": [],
   "source": [
    "surface_roughness = 8  \n",
    "permanently_shadowed_regions = True  \n",
    "\n",
    "extreme_cold_temperature = -157  \n",
    "extreme_hot_temperature = 120  \n",
    "\n",
    "limited_line_of_sight = True  \n",
    "signal_delays = True  \n",
    "\n",
    "low_sun_angle = True  \n",
    "\n",
    "abrasive_dust = 7  \n",
    "electrostatic_levitation = True  \n",
    "\n",
    "limited_landmarks = True  \n",
    "\n",
    "solar_radiation = 9  \n",
    "cosmic_radiation = 9 \n",
    "\n",
    "long_lunar_nights = True  \n",
    "radiation_protection = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "6e168a0d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Challenges of Landing on Lunar South Pole:\n",
      "Surface Roughness: 8/10\n",
      "Permanently Shadowed Regions: True\n",
      "Extreme Cold Temperature: -157°C\n",
      "Extreme Hot Temperature: 120°C\n",
      "Limited Line of Sight: True\n",
      "Signal Delays: True\n",
      "Low Sun Angle: True\n",
      "Abrasive Dust: 7/10\n",
      "Electrostatic Levitation: True\n",
      "Limited Landmarks: True\n",
      "Solar Radiation: 9/10\n",
      "Cosmic Radiation: 9/10\n",
      "Long Lunar Nights: True\n",
      "Radiation Protection: True\n"
     ]
    }
   ],
   "source": [
    "print(\"Challenges of Landing on Lunar South Pole:\")\n",
    "print(f\"Surface Roughness: {surface_roughness}/10\")\n",
    "print(f\"Permanently Shadowed Regions: {permanently_shadowed_regions}\")\n",
    "print(f\"Extreme Cold Temperature: {extreme_cold_temperature}°C\")\n",
    "print(f\"Extreme Hot Temperature: {extreme_hot_temperature}°C\")\n",
    "print(f\"Limited Line of Sight: {limited_line_of_sight}\")\n",
    "print(f\"Signal Delays: {signal_delays}\")\n",
    "print(f\"Low Sun Angle: {low_sun_angle}\")\n",
    "print(f\"Abrasive Dust: {abrasive_dust}/10\")\n",
    "print(f\"Electrostatic Levitation: {electrostatic_levitation}\")\n",
    "print(f\"Limited Landmarks: {limited_landmarks}\")\n",
    "print(f\"Solar Radiation: {solar_radiation}/10\")\n",
    "print(f\"Cosmic Radiation: {cosmic_radiation}/10\")\n",
    "print(f\"Long Lunar Nights: {long_lunar_nights}\")\n",
    "print(f\"Radiation Protection: {radiation_protection}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "cefdc04b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "c86413fb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Validation Accuracy: 0.20\n",
      "Test Accuracy: 0.20\n"
     ]
    }
   ],
   "source": [
    "X = yaan.drop('Specifications', axis=1)\n",
    "y = yaan['Specifications']\n",
    "\n",
    "X = pd.get_dummies(X, columns=['Parameter'])\n",
    "\n",
    "X_train, X_temp, y_train, y_temp = train_test_split(X, y, test_size=0.3, random_state=42)\n",
    "X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, test_size=0.5, random_state=42)\n",
    "\n",
    "model = RandomForestClassifier(random_state=42)\n",
    "\n",
    "model.fit(X_train, y_train)\n",
    "\n",
    "y_val_pred = model.predict(X_val)\n",
    "accuracy = accuracy_score(y_val, y_val_pred)\n",
    "print(f\"Validation Accuracy: {accuracy:.2f}\")\n",
    "\n",
    "y_test_pred = model.predict(X_test)\n",
    "test_accuracy = accuracy_score(y_test, y_test_pred)\n",
    "print(f\"Test Accuracy: {test_accuracy:.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "71baf3c9",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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