titanic-spaceship.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "057f474f",
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5",
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:39.816392Z",
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     "start_time": "2024-08-20T16:14:39.802210",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/kaggle/input/spaceship-titanic/sample_submission.csv\n",
      "/kaggle/input/spaceship-titanic/train.csv\n",
      "/kaggle/input/spaceship-titanic/test.csv\n"
     ]
    }
   ],
   "source": [
    "# This Python 3 environment comes with many helpful analytics libraries installed\n",
    "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n",
    "# For example, here's several helpful packages to load\n",
    "\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "\n",
    "# Input data files are available in the read-only \"../input/\" directory\n",
    "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
    "\n",
    "import os\n",
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))\n",
    "\n",
    "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n",
    "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4fd11d50",
   "metadata": {
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     "exception": false,
     "start_time": "2024-08-20T16:14:40.759066",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "exploring the training dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4e7bac6b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:40.795876Z",
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     "exception": false,
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>HomePlanet</th>\n",
       "      <th>CryoSleep</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Destination</th>\n",
       "      <th>Age</th>\n",
       "      <th>VIP</th>\n",
       "      <th>RoomService</th>\n",
       "      <th>FoodCourt</th>\n",
       "      <th>ShoppingMall</th>\n",
       "      <th>Spa</th>\n",
       "      <th>VRDeck</th>\n",
       "      <th>Name</th>\n",
       "      <th>Transported</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0001_01</td>\n",
       "      <td>Europa</td>\n",
       "      <td>False</td>\n",
       "      <td>B/0/P</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>39.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Maham Ofracculy</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0002_01</td>\n",
       "      <td>Earth</td>\n",
       "      <td>False</td>\n",
       "      <td>F/0/S</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>24.0</td>\n",
       "      <td>False</td>\n",
       "      <td>109.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>549.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>Juanna Vines</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0003_01</td>\n",
       "      <td>Europa</td>\n",
       "      <td>False</td>\n",
       "      <td>A/0/S</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>58.0</td>\n",
       "      <td>True</td>\n",
       "      <td>43.0</td>\n",
       "      <td>3576.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6715.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>Altark Susent</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0003_02</td>\n",
       "      <td>Europa</td>\n",
       "      <td>False</td>\n",
       "      <td>A/0/S</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>33.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1283.0</td>\n",
       "      <td>371.0</td>\n",
       "      <td>3329.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>Solam Susent</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0004_01</td>\n",
       "      <td>Earth</td>\n",
       "      <td>False</td>\n",
       "      <td>F/1/S</td>\n",
       "      <td>TRAPPIST-1e</td>\n",
       "      <td>16.0</td>\n",
       "      <td>False</td>\n",
       "      <td>303.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>565.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Willy Santantines</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  PassengerId HomePlanet CryoSleep  Cabin  Destination   Age    VIP  \\\n",
       "0     0001_01     Europa     False  B/0/P  TRAPPIST-1e  39.0  False   \n",
       "1     0002_01      Earth     False  F/0/S  TRAPPIST-1e  24.0  False   \n",
       "2     0003_01     Europa     False  A/0/S  TRAPPIST-1e  58.0   True   \n",
       "3     0003_02     Europa     False  A/0/S  TRAPPIST-1e  33.0  False   \n",
       "4     0004_01      Earth     False  F/1/S  TRAPPIST-1e  16.0  False   \n",
       "\n",
       "   RoomService  FoodCourt  ShoppingMall     Spa  VRDeck               Name  \\\n",
       "0          0.0        0.0           0.0     0.0     0.0    Maham Ofracculy   \n",
       "1        109.0        9.0          25.0   549.0    44.0       Juanna Vines   \n",
       "2         43.0     3576.0           0.0  6715.0    49.0      Altark Susent   \n",
       "3          0.0     1283.0         371.0  3329.0   193.0       Solam Susent   \n",
       "4        303.0       70.0         151.0   565.0     2.0  Willy Santantines   \n",
       "\n",
       "   Transported  \n",
       "0        False  \n",
       "1         True  \n",
       "2        False  \n",
       "3        False  \n",
       "4         True  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load the training data\n",
    "train_df = pd.read_csv('/kaggle/input/spaceship-titanic/train.csv')\n",
    "\n",
    "# Display the first few rows to get a sense of the data\n",
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bd6bd7cd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:40.928676Z",
     "iopub.status.busy": "2024-08-20T16:14:40.928216Z",
     "iopub.status.idle": "2024-08-20T16:14:42.545485Z",
     "shell.execute_reply": "2024-08-20T16:14:42.544290Z"
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     "exception": false,
     "start_time": "2024-08-20T16:14:40.914862",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Group data by HomePlanet and calculate the percentage of transported passengers\n",
    "homeplanet_transport = train_df.groupby('HomePlanet')['Transported'].mean() * 100\n",
    "\n",
    "# Plotting the results\n",
    "plt.figure(figsize=(8, 5))\n",
    "sns.barplot(x=homeplanet_transport.index, y=homeplanet_transport.values, palette=\"viridis\")\n",
    "plt.title('Percentage of Passengers Transported by Home Planet')\n",
    "plt.xlabel('Home Planet')\n",
    "plt.ylabel('Percentage Transported')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4f7417cb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:42.575306Z",
     "iopub.status.busy": "2024-08-20T16:14:42.574173Z",
     "iopub.status.idle": "2024-08-20T16:14:42.939122Z",
     "shell.execute_reply": "2024-08-20T16:14:42.937831Z"
    },
    "papermill": {
     "duration": 0.381208,
     "end_time": "2024-08-20T16:14:42.941813",
     "exception": false,
     "start_time": "2024-08-20T16:14:42.560605",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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cS9zmv//+aySZcePGpbpPSB1DBZ4wwcHBypcvn3x9fdW2bVu5u7vrhx9+UMGCBbV48WIlJCSoTZs2unjxouXm7e2tEiVKaM2aNVbrcnZ2VufOna3aFi1apLx586pXr15Jtp34P/uFCxfK09NT9erVs9pOQECA3N3dk2ynbNmyVie25MuXT6VKldLff/+dpn12dXW1/H316lVdvHhRNWrU0I0bN3To0CFJ/32deunSJb3++uvKmvX/voho3769cuXKZbW+hQsXqkyZMipdurRV/Ylfy99d/522b9+u8+fPq3v37lZj1xo3bqzSpUunOuYtLVI7vnc/Fv/++6+ioqJUo0YN7dy509Ke2GPy008/KSEhIdnt5MyZU//884+2bduW7HRjjBYtWqSmTZvKGGP1ONWvX19RUVFW25T++wrPycnJcj/xmCce54w8RkFBQSpbtmySfbx+/bpWrFiR7D4+qNdff12Ojo5WbXcen1u3bunSpUsqXry4cubMmeTxkqQ33njDqsesRo0aio+P18mTJy37IEm//PKLbt26lWo9LVq0sOpBfP7551W5cmX99ttvkqRz585p9+7d6tSpk1XPVoUKFVSvXj3LfHd68803U93mndL6vrBy5UrFxcWpV69eVvt+dw/+vdxrfyWpQ4cOOnv2rNXzZd68eXJ1dVVISEiK646OjpYk5ciRw6aaknselixZUpUrV9a8efMsbZcvX9bSpUvVvn17y2Pw22+/ydvb22ose7Zs2dS7d29du3ZNa9eulfTfc2zLli169913Jf33DVCXLl1UoEAB9erVK9XhTmn9jNi9e7fCw8P18ssv69KlS5b5rl+/rrp16+rPP/9M8t7So0cPq/uJnyHJPa/uNHz4cM2fP1/PPPOMli9frg8++EABAQF69tlnkwxhScmdr7vr16/r4sWLqlq1qowxyQ4VuV+urq5ycnLSH3/8kWT4C9KOoQJPmKlTp6pkyZLKmjWrvLy8VKpUKWXJ8t//X8LDw2WMUYkSJZJd9s6v7yWpYMGCVkFD+u+r6VKlSlkFi7uFh4crKirKMv7obncPqC9cuHCSeXLlypXmF/7+/fv14YcfavXq1ZYPlERRUVGSZPmgL168uNX0rFmzJvn6Jjw8XAcPHlS+fPnSVP+dErdTqlSpJNNKly6t9evXp74z95Da8ZX+CzCjRo3S7t27rT6g7gwAL730kr788kt17dpVAwcOVN26ddWqVSu9+OKLlnW99957WrlypZ5//nkVL15cL7zwgl5++WXLWLMLFy7oypUrmjlzZopnTd/rOCeG0cTjnJHHqGjRoknm6d69u7777js1bNhQBQsW1AsvvKA2bdpYzlJ+UMlt8+bNmwoNDVVYWJjOnDkjY4xlWuJz9U73esyCgoIUEhKi4cOHa8KECapVq5ZatGihl19+Wc7OzlbLJve6L1mypL777jtJqT93y5Qpo+XLlyc5ASu5fUxJWt8XEuu4u958+fIl+Q9Mau61v5JUr149FShQQPPmzVPdunWVkJCg//3vf2revHmqoTRxnOjVq1fTXI+U8uPVoUMH9ezZUydPnpSfn58WLlyoW7du6dVXX7XMc/LkSZUoUcLq9S7935CpxMdNkjw9PTV27FiNHTtWJ0+e1KpVq/TJJ5/os88+k6enp0aNGpVsHWn9jAgPD5ckyzj95ERFRVkdr7vX6e/vryxZsqRp7Ge7du3Url07RUdHa8uWLZo9e7bmz5+vpk2bat++ffc8we3UqVMaMmSIfv755ySfK8m97u6Xs7OzxowZo7ffflteXl6qUqWKmjRpog4dOsjb2zvdtvO4I7g+YZ5//nnLWed3S0hIkIODg5YuXZqkJ0iS3N3dre7f+b9UWyQkJCh//vxWPQh3ujtsJFeLJKsP9ZRcuXJFQUFB8vDw0IgRI+Tv7y8XFxft3LlT7733Xoo9iveqv3z58ho/fnyy0319fW1eZ3pJ7fiuW7dOzZo1U82aNTVt2jQVKFBA2bJlU1hYmNVJVa6urvrzzz+1Zs0a/frrr1q2bJm+/fZb1alTR7///rscHR1VpkwZHT58WL/88ouWLVumRYsWadq0aRoyZIiGDx9ueVxfeeWVFD+8KlSoYHX/QY7z3Ww9Rsk9l/Pnz6/du3dr+fLlWrp0qZYuXaqwsDB16NAhyQkv9yO5bfbq1UthYWHq27evAgMD5enpKQcHB7Vt2zbZ5+q9HjMHBwd9//332rx5s5YsWaLly5frtdde06effqrNmzcneU2nN1veI2x9X3gYHB0d9fLLL+uLL77QtGnTtGHDBp09ezbVK0RI/wVXHx+fZE9uS01Kj1fbtm3Vr18/zZs3T++//76++eYbVapUKdn/RNjKz89Pr732mlq2bKlixYpp3rx5KQbXtH5GJD5Xx40bl+Klp+713LufHz7w8PBQvXr1VK9ePWXLlk1z5szRli1bFBQUlOIy8fHxqlevni5fvqz33ntPpUuXlpubm86cOaNOnTql6TMipVqTOwG4b9++atq0qX788UctX75cgwcPVmhoqFavXp1kLDWSR3CFhb+/v4wxKlq0qEqWLHnf69iyZYtu3bqVpIf2znlWrlypatWq3Xf4vVtKbxx//PGHLl26pMWLF6tmzZqW9juvoiD93wkLR48eVe3atS3tt2/f1okTJ6xClr+/v/766y/VrVvX5jfXxO0cPnzY8rV1osOHD1umZ4RFixbJxcVFy5cvt+ptCwsLSzJvlixZVLduXdWtW1fjx4/XRx99pA8++EBr1qyxXKfUzc1NL730kl566SXFxcWpVatWGj16tAYNGqR8+fIpR44cio+PT/M1aO/lYR2jOzk5Oalp06Zq2rSpEhIS1L17d33++ecaPHhwkp7f9PD999+rY8eO+vTTTy1tMTExD/yLaVWqVFGVKlU0evRozZ8/X+3bt9eCBQvUtWtXyzyJvWR3OnLkiKU3+87n7t0OHTqkvHnzpulyVykdj7S+LyTWER4ermLFilnaL1y4YNPXr/fa30QdOnTQp59+qiVLlmjp0qXKly+f6tevf8/1N2nSRDNnztSmTZusLpF2P3Lnzq3GjRtr3rx5at++vTZs2KCJEydazePn56c9e/YoISHBqtc1cTjUvd5bcuXKJX9//1TDdlo/IxJPJPXw8Ejz6z88PNyqx/no0aNKSEi47xOWKlWqpDlz5ujcuXOSUn7e7d27V0eOHNGcOXPUoUMHS3tyQ4RSWkdiz/Hdr9M7e7nv5O/vr7fffltvv/22wsPDVbFiRX366af65ptv7rlf4HJYuEOrVq3k6Oio4cOHJ+nlMsbo0qVL91xHSEiILl68qM8++yzJtMR1tmnTRvHx8Ro5cmSSeW7fvn1fH9KJH5h3L5vYK3Dn/sTFxWnatGlW81WqVEl58uTRF198odu3b1va582bl+TDsE2bNjpz5oy++OKLJHXcvHnTcoZ4cipVqqT8+fNrxowZVl/VL126VAcPHrSc2Z8RHB0d5eDgYNULcOLEiSRn2F++fDnJsom9Jok13/1ccHJyUtmyZWWM0a1bt+To6KiQkBAtWrQo2Q/Cuy/ZlBYP6xglunsfs2TJYgnHab3sma0cHR2TvPamTJmSbM9NWvz7779J1nf3sUz0448/Wl3eaevWrdqyZYsaNmwoSSpQoIAqVqyoOXPmWL3O9u3bp99//12NGjVKU00pvVbT+r4QHBysbNmyacqUKVb7dneQu5d77W+iChUqqEKFCvryyy+1aNEitW3bNtWhUIkGDBggNzc3de3aNdlfrzt27JhNl1Z79dVXdeDAAb377rtydHRU27ZtraY3atRIERERlitKSP89blOmTJG7u7ul1/Gvv/7SxYsXk6z/5MmTOnDgQKq9uGn9jAgICJC/v78++eQTXbt2Lcl6knv9J15qKtGUKVMkKcnxuNONGze0adOmZKctXbpU0v8NbbHlM8IYk+yxSWkdfn5+cnR01J9//mnVfvfnzI0bN5Jc4svf3185cuTIsPeUxxE9rrDw9/fXqFGjNGjQIMtlhnLkyKHjx4/rhx9+0BtvvKF33nkn1XV06NBBc+fOVf/+/bV161bVqFFD169f18qVK9W9e3c1b95cQUFB6tatm0JDQ7V792698MILypYtm8LDw7Vw4UJNmjRJL774ok21V6xYUY6OjhozZoyioqLk7OysOnXqqGrVqsqVK5c6duyo3r17y8HBQV9//XWSN10nJycNGzZMvXr1Up06ddSmTRudOHFCs2fPlr+/v9X/tF999VV99913evPNN7VmzRpVq1ZN8fHxOnTokL777jstX748xa/rs2XLpjFjxqhz584KCgpSu3btLJfDKlKkiPr162fTftuicePGGj9+vBo0aKCXX35Z58+f19SpU1W8eHHt2bPHMt+IESP0559/qnHjxvLz89P58+c1bdo0FSpUSNWrV5ckvfDCC/L29la1atXk5eWlgwcP6rPPPlPjxo0tY/8+/vhjrVmzRpUrV9brr7+usmXL6vLly9q5c6dWrlyZbEBOzcM6Rom6du2qy5cvq06dOipUqJBOnjypKVOmqGLFipZxg+mtSZMm+vrrr+Xp6amyZctq06ZNWrlypeVyZraaM2eOpk2bppYtW8rf319Xr17VF198IQ8PjyRBs3jx4qpevbreeustxcbGauLEicqTJ48GDBhgmWfcuHFq2LChAgMD1aVLF8vlsDw9PdP8a0IBAQGSpN69e6t+/fqWEJbW94V8+fLpnXfeUWhoqJo0aaJGjRpp165dWrp0qfLmzZvmxyYt+5uoQ4cOlve+ew0TSOTv76/58+frpZdeUpkyZax+OWvjxo2WS1WlVePGjZUnTx4tXLhQDRs2TDIW+I033tDnn3+uTp06aceOHSpSpIi+//57S+9s4utyxYoVGjp0qJo1a6YqVarI3d1df//9t7766ivFxsamehzT+hmRJUsWffnll2rYsKGeeuopde7cWQULFtSZM2e0Zs0aeXh4aMmSJVbrPn78uJo1a6YGDRpo06ZN+uabb/Tyyy/r6aefTrGeGzduqGrVqqpSpYoaNGggX19fXblyRT/++KPWrVunFi1aWL5+9/f3V86cOTVjxgzlyJFDbm5uqly5skqXLi1/f3+98847OnPmjDw8PLRo0aJke+9Teu56enqqdevWmjJlihwcHOTv769ffvklyVj6I0eOqG7dumrTpo3Kli2rrFmz6ocfflBkZGSS/4ggFQ/vAgbITLZcWmnRokWmevXqxs3Nzbi5uZnSpUubHj16mMOHD1vmCQoKSvFySDdu3DAffPCBKVq0qMmWLZvx9vY2L774ojl27JjVfDNnzjQBAQHG1dXV5MiRw5QvX94MGDDAnD171jKPn5+fady4cZJtBAUFWV3+yBhjvvjiC1OsWDHj6OhodWmSDRs2mCpVqhhXV1fj4+NjBgwYYJYvX57s5UsmT55s/Pz8jLOzs3n++efNhg0bTEBAgGnQoIHVfHFxcWbMmDHmqaeeMs7OziZXrlwmICDADB8+3ERFRd3rITbffvuteeaZZ4yzs7PJnTu3ad++vdWleYy5v8th3WveWbNmmRIlShhnZ2dTunRpExYWluSSN6tWrTLNmzc3Pj4+xsnJyfj4+Jh27dqZI0eOWOb5/PPPTc2aNU2ePHmMs7Oz8ff3N++++26SfY+MjDQ9evQwvr6+ludC3bp1zcyZMy3zJF5KZuHChVbL3n0pmUTpfYwkmR49eiR5rL7//nvzwgsvmPz58xsnJydTuHBh061bN3Pu3LlUH+M7pXY5rOSO1b///ms6d+5s8ubNa9zd3U39+vXNoUOHjJ+fn9VlnlJax92X5dm5c6dp166dKVy4sHF2djb58+c3TZo0Mdu3b7csk/g4jxs3znz66afG19fXODs7mxo1aiR7KaKVK1eaatWqGVdXV+Ph4WGaNm1qDhw4YDVP4nMquUuq3b592/Tq1cvky5fPODg4JLm8UFreF+Lj483w4cNNgQIFjKurq6lVq5bZt29fkscpObburzHGnDt3zjg6OpqSJUumuu7kHDlyxLz++uumSJEixsnJyeTIkcNUq1bNTJkyxXI5PmNSfh7eKfESUfPnz092emRkpOX54+TkZMqXL5/k9fP333+bIUOGmCpVqpj8+fObrFmzmnz58pnGjRub1atXW81793tDorR8RhhjzK5du0yrVq0s7xN+fn6mTZs2ZtWqVUm2ceDAAfPiiy+aHDlymFy5cpmePXtaXTIwObdu3TJffPGFadGiheU9IXv27OaZZ54x48aNs7q8njHG/PTTT6Zs2bIma9asVq/LAwcOmODgYOPu7m7y5s1rXn/9dfPXX38lee2m9ty9cOGCCQkJMdmzZze5cuUy3bp1M/v27bNax8WLF02PHj1M6dKljZubm/H09DSVK1c23333Xar7CWsOxtzHmQ/AEyIhIUH58uVTq1atkv3aGZmPY/RgTpw4oaJFi2rcuHH3/EblSXXx4kUVKFBAQ4YM0eDBgzOtjn79+mnWrFmKiIh4bH5ee9iwYRo+fLguXLhgU485nlyMcQX+v5iYmCRDCObOnavLly8n+TlRZA6OETLD7NmzFR8fb3X5qYctJiZG33zzjUJCQh6b0ArcD8a4Av/f5s2b1a9fP7Vu3Vp58uTRzp07NWvWLJUrV06tW7fO7PIgjhEertWrV+vAgQMaPXq0WrRokSk/yXn+/HmtXLlS33//vS5dupQuPzcM2DOCK/D/FSlSRL6+vpo8ebLld8E7dOigjz/+OMkPLSBzcIzwMI0YMUIbN25UtWrVLGe5P2wHDhxQ+/btlT9/fk2ePDnF66ICTwrGuAIAAMAuMMYVAAAAdoHgCgAAALvw2I9xTUhI0NmzZ5UjR44H+ulHAAAAZAxjjK5evSofHx+rny2+22MfXM+ePStfX9/MLgMAAAD3cPr0aRUqVCjF6Y99cE38mbvTp0/Lw8Mjk6sBAADA3aKjo+Xr62vJbSl57INr4vAADw8PgisAAMAj7F7DOjk5CwAAAHaB4AoAAAC7QHAFAACAXSC4AgAAwC4QXAEAAGAXCK4AAACwCwRXAAAA2AWCKwAAAOwCwRUAAAB2geAKAAAAu0BwBQAAgF0guAIAAMAuEFwBAABgFwiuAAAAsAsEVwAAANiFrJldAADAvrywYFBmlwAgg/zeNjSzS0gVPa4AAACwCwRXAAAA2AWCKwAAAOxCpgbX+Ph4DR48WEWLFpWrq6v8/f01cuRIGWMs8xhjNGTIEBUoUECurq4KDg5WeHh4JlYNAACAzJCpwXXMmDGaPn26PvvsMx08eFBjxozR2LFjNWXKFMs8Y8eO1eTJkzVjxgxt2bJFbm5uql+/vmJiYjKxcgAAADxsmXpVgY0bN6p58+Zq3LixJKlIkSL63//+p61bt0r6r7d14sSJ+vDDD9W8eXNJ0ty5c+Xl5aUff/xRbdu2zbTaAQAA8HBlao9r1apVtWrVKh05ckSS9Ndff2n9+vVq2LChJOn48eOKiIhQcHCwZRlPT09VrlxZmzZtSnadsbGxio6OtroBAADA/mVqj+vAgQMVHR2t0qVLy9HRUfHx8Ro9erTat28vSYqIiJAkeXl5WS3n5eVlmXa30NBQDR8+PGMLBwAAwEOXqT2u3333nebNm6f58+dr586dmjNnjj755BPNmTPnvtc5aNAgRUVFWW6nT59Ox4oBAACQWTK1x/Xdd9/VwIEDLWNVy5cvr5MnTyo0NFQdO3aUt7e3JCkyMlIFChSwLBcZGamKFSsmu05nZ2c5OztneO0AAAB4uDK1x/XGjRvKksW6BEdHRyUkJEiSihYtKm9vb61atcoyPTo6Wlu2bFFgYOBDrRUAAACZK1N7XJs2barRo0ercOHCeuqpp7Rr1y6NHz9er732miTJwcFBffv21ahRo1SiRAkVLVpUgwcPlo+Pj1q0aJGZpQMAAOAhy9TgOmXKFA0ePFjdu3fX+fPn5ePjo27dumnIkCGWeQYMGKDr16/rjTfe0JUrV1S9enUtW7ZMLi4umVg5AAAAHjYHc+fPVD2GoqOj5enpqaioKHl4eGR2OQBg915YMCizSwCQQX5vG5op201rXsvUMa4AAABAWhFcAQAAYBcIrgAAALALBFcAAADYBYIrAAAA7ALBFQAAAHaB4AoAAAC7QHAFAACAXSC4AgAAwC4QXAEAAGAXCK4AAACwCwRXAAAA2AWCKwAAAOwCwRUAAAB2geAKAAAAu0BwBQAAgF0guAIAAMAuEFwBAABgFwiuAAAAsAsEVwAAANgFgisAAADsAsEVAAAAdoHgCgAAALtAcAUAAIBdILgCAADALhBcAQAAYBcIrgAAALALBFcAAADYBYIrAAAA7ALBFQAAAHaB4AoAAAC7QHAFAACAXSC4AgAAwC4QXAEAAGAXMjW4FilSRA4ODkluPXr0kCTFxMSoR48eypMnj9zd3RUSEqLIyMjMLBkAAACZJFOD67Zt23Tu3DnLbcWKFZKk1q1bS5L69eunJUuWaOHChVq7dq3Onj2rVq1aZWbJAAAAyCRZM3Pj+fLls7r/8ccfy9/fX0FBQYqKitKsWbM0f/581alTR5IUFhamMmXKaPPmzapSpUpmlAwAAIBM8siMcY2Li9M333yj1157TQ4ODtqxY4du3bql4OBgyzylS5dW4cKFtWnTphTXExsbq+joaKsbAAAA7N8jE1x//PFHXblyRZ06dZIkRUREyMnJSTlz5rSaz8vLSxERESmuJzQ0VJ6enpabr69vBlYNAACAh+WRCa6zZs1Sw4YN5ePj80DrGTRokKKioiy306dPp1OFAAAAyEyZOsY10cmTJ7Vy5UotXrzY0ubt7a24uDhduXLFqtc1MjJS3t7eKa7L2dlZzs7OGVkuAAAAMsEj0eMaFham/Pnzq3Hjxpa2gIAAZcuWTatWrbK0HT58WKdOnVJgYGBmlAkAAIBMlOk9rgkJCQoLC1PHjh2VNev/lePp6akuXbqof//+yp07tzw8PNSrVy8FBgZyRQEAAIAnUKYH15UrV+rUqVN67bXXkkybMGGCsmTJopCQEMXGxqp+/fqaNm1aJlQJAACAzJbpwfWFF16QMSbZaS4uLpo6daqmTp36kKsCAADAo+aRGOMKAAAA3AvBFQAAAHaB4AoAAAC7QHAFAACAXSC4AgAAwC4QXAEAAGAXCK4AAACwCwRXAAAA2AWCKwAAAOwCwRUAAAB2geAKAAAAu0BwBQAAgF0guAIAAMAuEFwBAABgFwiuAAAAsAsEVwAAANgFgisAAADsAsEVAAAAdoHgCgAAALtAcAUAAIBdILgCAADALhBcAQAAYBcIrgAAALALBFcAAADYBYIrAAAA7ALBFQAAAHaB4AoAAAC7QHAFAACAXSC4AgAAwC4QXAEAAGAXCK4AAACwCwRXAAAA2AWCKwAAAOwCwRUAAAB2IU3BNTo6Os03W505c0avvPKK8uTJI1dXV5UvX17bt2+3TDfGaMiQISpQoIBcXV0VHBys8PBwm7cDAAAA+5Y1LTPlzJlTDg4OaVphfHx8mjf+77//qlq1aqpdu7aWLl2qfPnyKTw8XLly5bLMM3bsWE2ePFlz5sxR0aJFNXjwYNWvX18HDhyQi4tLmrcFAAAA+5am4LpmzRrL3ydOnNDAgQPVqVMnBQYGSpI2bdqkOXPmKDQ01KaNjxkzRr6+vgoLC7O0FS1a1PK3MUYTJ07Uhx9+qObNm0uS5s6dKy8vL/34449q27atTdsDAACA/UpTcA0KCrL8PWLECI0fP17t2rWztDVr1kzly5fXzJkz1bFjxzRv/Oeff1b9+vXVunVrrV27VgULFlT37t31+uuvS5KOHz+uiIgIBQcHW5bx9PRU5cqVtWnTpmSDa2xsrGJjYy3372f4AgAAAB49Np+ctWnTJlWqVClJe6VKlbR161ab1vX3339r+vTpKlGihJYvX6633npLvXv31pw5cyRJERERkiQvLy+r5by8vCzT7hYaGipPT0/LzdfX16aaAAAA8GiyObj6+vrqiy++SNL+5Zdf2hwSExIS9Oyzz+qjjz7SM888ozfeeEOvv/66ZsyYYWtZFoMGDVJUVJTldvr06fteFwAAAB4daRoqcKcJEyYoJCRES5cuVeXKlSVJW7duVXh4uBYtWmTTugoUKKCyZctatZUpU8ayHm9vb0lSZGSkChQoYJknMjJSFStWTHadzs7OcnZ2tqkOAAAAPPps7nFt1KiRjhw5oqZNm+ry5cu6fPmymjZtqiNHjqhRo0Y2ratatWo6fPiwVduRI0fk5+cn6b8Ttby9vbVq1SrL9OjoaG3ZssVyYhgAAACeDDb3uEr/DRf46KOPHnjj/fr1U9WqVfXRRx+pTZs22rp1q2bOnKmZM2dKkhwcHNS3b1+NGjVKJUqUsFwOy8fHRy1atHjg7QMAAMB+3NcvZ61bt06vvPKKqlatqjNnzkiSvv76a61fv96m9Tz33HP64Ycf9L///U/lypXTyJEjNXHiRLVv394yz4ABA9SrVy+98cYbeu6553Tt2jUtW7aMa7gCAAA8YWwOrosWLVL9+vXl6uqqnTt3Wi49FRUVdV+9sE2aNNHevXsVExOjgwcPWi6FlcjBwUEjRoxQRESEYmJitHLlSpUsWdLm7QAAAMC+2RxcR40apRkzZuiLL75QtmzZLO3VqlXTzp0707U4AAAAIJHNwfXw4cOqWbNmknZPT09duXIlPWoCAAAAkrA5uHp7e+vo0aNJ2tevX69ixYqlS1EAAADA3WwOrq+//rr69OmjLVu2yMHBQWfPntW8efP0zjvv6K233sqIGgEAAADbL4c1cOBAJSQkqG7durpx44Zq1qwpZ2dnvfPOO+rVq1dG1AgAAADYHlwdHBz0wQcf6N1339XRo0d17do1lS1bVu7u7hlRHwAAACDpPoYKvPbaa7p69aqcnJxUtmxZPf/883J3d9f169f12muvZUSNAAAAgO3Bdc6cObp582aS9ps3b2ru3LnpUhQAAABwtzQPFYiOjpYxRsYYXb161eqXq+Lj4/Xbb78pf/78GVIkAAAAkObgmjNnTjk4OMjBwSHZX65ycHDQ8OHD07U4AAAAIFGag+uaNWtkjFGdOnW0aNEi5c6d2zLNyclJfn5+8vHxyZAiAQAAgDQH16CgIN2+fVsdO3ZUpUqV5Ovrm5F1AQAAAFZsOjkra9as+v777xUfH59R9QAAAADJsvmqAnXq1NHatWszohYAAAAgRTb/AEHDhg01cOBA7d27VwEBAXJzc7Oa3qxZs3QrDgAAAEhkc3Dt3r27JGn8+PFJpjk4ODCMAAAAABnC5uCakJCQEXUAAAAAqbJ5jCsAAACQGe4ruK5du1ZNmzZV8eLFVbx4cTVr1kzr1q1L79oAAAAAC5uD6zfffKPg4GBlz55dvXv3Vu/eveXq6qq6detq/vz5GVEjAAAAYPsY19GjR2vs2LHq16+fpa13794aP368Ro4cqZdffjldCwQAAACk++hx/fvvv9W0adMk7c2aNdPx48fTpSgAAADgbjYHV19fX61atSpJ+8qVK/kZWAAAAGQYm4cKvP322+rdu7d2796tqlWrSpI2bNig2bNna9KkSeleIAAAACDdR3B966235O3trU8//VTfffedJKlMmTL69ttv1bx583QvEAAAAJDuI7hKUsuWLdWyZcv0rgUAAABI0X0FV0navn27Dh48KEkqW7asAgIC0q0oAAAA4G42B9d//vlH7dq104YNG5QzZ05J0pUrV1S1alUtWLBAhQoVSu8aAQAAANuvKtC1a1fdunVLBw8e1OXLl3X58mUdPHhQCQkJ6tq1a0bUCAAAANje47p27Vpt3LhRpUqVsrSVKlVKU6ZMUY0aNdK1OAAAACDRfV3H9datW0na4+Pj5ePjky5FAQAAAHezObiOGzdOvXr10vbt2y1t27dvV58+ffTJJ5+ka3EAAABAIgdjjLFlgVy5cunGjRu6ffu2smb9b6RB4t9ubm5W816+fDn9Kr1P0dHR8vT0VFRUlDw8PDK7HACwey8sGJTZJQDIIL+3Dc2U7aY1r9k8xnXixIkPUhcAAABwX2wOrh07dky3jQ8bNkzDhw+3aitVqpQOHTokSYqJidHbb7+tBQsWKDY2VvXr19e0adPk5eWVbjUAAADAPtg8xnXnzp3au3ev5f5PP/2kFi1a6P3331dcXJzNBTz11FM6d+6c5bZ+/XrLtH79+mnJkiVauHCh1q5dq7Nnz6pVq1Y2bwMAAAD2z+bg2q1bNx05ckSS9Pfff+ull15S9uzZtXDhQg0YMMDmArJmzSpvb2/LLW/evJKkqKgozZo1S+PHj1edOnUUEBCgsLAwbdy4UZs3b05xfbGxsYqOjra6AQAAwP7ZHFyPHDmiihUrSpIWLlyooKAgzZ8/X7Nnz9aiRYtsLiA8PFw+Pj4qVqyY2rdvr1OnTkmSduzYoVu3bik4ONgyb+nSpVW4cGFt2rQpxfWFhobK09PTcvP19bW5JgAAADx6bA6uxhglJCRIklauXKlGjRpJ+u/6rhcvXrRpXZUrV9bs2bO1bNkyTZ8+XcePH1eNGjV09epVRUREyMnJyfKzsom8vLwUERGR4joHDRqkqKgoy+306dO27SAAAAAeSTafnFWpUiWNGjVKwcHBWrt2raZPny5JOn78uM0nTTVs2NDyd4UKFVS5cmX5+fnpu+++k6urq62lSZKcnZ3l7Ox8X8sCAADg0WVzj+vEiRO1c+dO9ezZUx988IGKFy8uSfr+++9VtWrVByomZ86cKlmypI4ePSpvb2/FxcXpypUrVvNERkbK29v7gbYDAAAA+2Nzj2uFChWsriqQaNy4cXJ0dHygYq5du6Zjx47p1VdfVUBAgLJly6ZVq1YpJCREknT48GGdOnVKgYGBD7QdAAAA2B+bg2uiuLg4nT9/3jLeNVHhwoXTvI533nlHTZs2lZ+fn86ePauhQ4fK0dFR7dq1k6enp7p06aL+/fsrd+7c8vDwUK9evRQYGKgqVarcb9kAAACwUzYH1yNHjqhLly7auHGjVbsxRg4ODoqPj0/zuv755x+1a9dOly5dUr58+VS9enVt3rxZ+fLlkyRNmDBBWbJkUUhIiNUPEAAAAODJY3Nw7dy5s7JmzapffvlFBQoUkIODw31vfMGCBalOd3Fx0dSpUzV16tT73gYAAAAeDzYH1927d2vHjh0qXbp0RtQDAAAAJMvmqwqULVvW5uu1AgAAAA/K5uA6ZswYDRgwQH/88YcuXbrEz6sCAADgobB5qEDiT7DWrVvXqv1+Ts4CAAAA0srm4LpmzZqMqAMAAABIlc3BNSgoKCPqAAAAAFJ13z9AcOPGDZ06dUpxcXFW7RUqVHjgogAAAIC72RxcL1y4oM6dO2vp0qXJTmeMKwAAADKCzVcV6Nu3r65cuaItW7bI1dVVy5Yt05w5c1SiRAn9/PPPGVEjAAAAYHuP6+rVq/XTTz+pUqVKypIli/z8/FSvXj15eHgoNDRUjRs3zog6AQAA8ISzucf1+vXryp8/vyQpV65cunDhgiSpfPny2rlzZ/pWBwAAAPx/NgfXUqVK6fDhw5Kkp59+Wp9//rnOnDmjGTNmqECBAuleIAAAACDdx1CBPn366Ny5c5KkoUOHqkGDBpo3b56cnJw0e/bs9K4PAAAAkHQfwfWVV16x/B0QEKCTJ0/q0KFDKly4sPLmzZuuxQEAAACJbBoqcOvWLfn7++vgwYOWtuzZs+vZZ58ltAIAACBD2RRcs2XLppiYmIyqBQAAAEiRzSdn9ejRQ2PGjNHt27czoh4AAAAgWWke43rq1CkVKlRI27Zt06pVq/T777+rfPnycnNzs5pv8eLF6V4kAAAAkObgWrRoUZ07d045c+ZUSEhIRtYEAAAAJJHm4GqMkSSFhYVlWDEAAABASmwa4+rg4JBRdQAAAACpsuk6roMHD1b27NlTnWf8+PEPVBAAAACQHJuC6969e+Xk5JTidHpkAQAAkFFsCq4//PCD8ufPn1G1AAAAAClK8xhXelMBAACQmdIcXBOvKgAAAABkhjQH17CwMHl6emZkLQAAAECK0jzGtWPHjhlZBwAAAJAqm67jCgAAAGQWgisAAADsAsEVAAAAduG+guuVK1f05ZdfatCgQbp8+bIkaefOnTpz5ky6FgcAAAAksukHCCRpz549Cg4Olqenp06cOKHXX39duXPn1uLFi3Xq1CnNnTs3I+oEAADAE87mHtf+/furU6dOCg8Pl4uLi6W9UaNG+vPPP++7kI8//lgODg7q27evpS0mJkY9evRQnjx55O7urpCQEEVGRt73NgAAAGC/bA6u27ZtU7du3ZK0FyxYUBEREfdVxLZt2/T555+rQoUKVu39+vXTkiVLtHDhQq1du1Znz55Vq1at7msbAAAAsG82B1dnZ2dFR0cnaT9y5Ijy5ctncwHXrl1T+/bt9cUXXyhXrlyW9qioKM2aNUvjx49XnTp1FBAQoLCwMG3cuFGbN2+2eTsAAACwbzYH12bNmmnEiBG6deuWJMnBwUGnTp3Se++9p5CQEJsL6NGjhxo3bqzg4GCr9h07dujWrVtW7aVLl1bhwoW1adOmFNcXGxur6OhoqxsAAADsn83B9dNPP9W1a9eUP39+3bx5U0FBQSpevLhy5Mih0aNH27SuBQsWaOfOnQoNDU0yLSIiQk5OTsqZM6dVu5eXV6pDEkJDQ+Xp6Wm5+fr62lQTAAAAHk02X1XA09NTK1as0Pr167Vnzx5du3ZNzz77bJIe03s5ffq0+vTpoxUrVlid5PWgBg0apP79+1vuR0dHE14BAAAeAzYH10TVq1dX9erV73vDO3bs0Pnz5/Xss89a2uLj4/Xnn3/qs88+0/LlyxUXF6crV65Y9bpGRkbK29s7xfU6OzvL2dn5vusCAADAo8nm4Dp58uRk2x0cHOTi4qLixYurZs2acnR0THU9devW1d69e63aOnfurNKlS+u9996Tr6+vsmXLplWrVlnGzh4+fFinTp1SYGCgrWUDAADAztkcXCdMmKALFy7oxo0blqsA/Pvvv8qePbvc3d11/vx5FStWTGvWrEn1K/ocOXKoXLlyVm1ubm7KkyePpb1Lly7q37+/cufOLQ8PD/Xq1UuBgYGqUqWKrWUDAADAztl8ctZHH32k5557TuHh4bp06ZIuXbqkI0eOqHLlypo0aZJOnTolb29v9evX74GLmzBhgpo0aaKQkBDVrFlT3t7eWrx48QOvFwAAAPbHwRhjbFnA399fixYtUsWKFa3ad+3apZCQEP3999/auHGjQkJCdO7cufSs9b5ER0fL09NTUVFR8vDwyOxyAMDuvbBgUGaXACCD/N426ZWeHoa05jWbe1zPnTun27dvJ2m/ffu25TJVPj4+unr1qq2rBgAAAFJkc3CtXbu2unXrpl27dlnadu3apbfeekt16tSRJO3du1dFixZNvyoBAADwxLM5uM6aNUu5c+dWQECA5dJTlSpVUu7cuTVr1ixJkru7uz799NN0LxYAAABPLpuvKuDt7a0VK1bo0KFDOnLkiCSpVKlSKlWqlGWe2rVrp1+FAAAAgB7gBwhKly6t0qVLp2ctAAAAQIruK7j+888/+vnnn3Xq1CnFxcVZTRs/fny6FAYAAADcyebgumrVKjVr1kzFihXToUOHVK5cOZ04cULGGKufbwUAAADSk80nZw0aNEjvvPOO9u7dKxcXFy1atEinT59WUFCQWrdunRE1AgAAALYH14MHD6pDhw6SpKxZs+rmzZtyd3fXiBEjNGbMmHQvEAAAAJDuI7i6ublZxrUWKFBAx44ds0y7ePFi+lUGAAAA3MHmMa5VqlTR+vXrVaZMGTVq1Ehvv/229u7dq8WLF6tKlSoZUSMAAABge3AdP368rl27JkkaPny4rl27pm+//VYlSpTgigIAAADIMDYH12LFiln+dnNz04wZM9K1IAAAACA5No9xLVasmC5dupSk/cqVK1ahFgAAAEhPNgfXEydOKD4+Pkl7bGyszpw5ky5FAQAAAHdL81CBn3/+2fL38uXL5enpabkfHx+vVatWqUiRIulaHAAAAJAozcG1RYsWkiQHBwd17NjRalq2bNlUpEgRffrpp+laHAAAAJAozcE1ISFBklS0aFFt27ZNefPmzbCiAAAAgLvZfFWB48ePZ0QdAAAAQKpsDq6StGrVKq1atUrnz5+39MQm+uqrr9KlMAAAAOBONgfX4cOHa8SIEapUqZIKFCggBweHjKgLAAAAsGJzcJ0xY4Zmz56tV199NSPqAQAAAJJl83Vc4+LiVLVq1YyoBQAAAEiRzcG1a9eumj9/fkbUAgAAAKTI5qECMTExmjlzplauXKkKFSooW7ZsVtPHjx+fbsUBAAAAiWwOrnv27FHFihUlSfv27bOaxolaSdXoNjKzSwCQQdZ9PjizSwCAJ4rNwXXNmjUZUQcAAACQKpvHuCY6evSoli9frps3b0qSjDHpVhQAAABwN5uD66VLl1S3bl2VLFlSjRo10rlz5yRJXbp00dtvv53uBQIAAADSfQTXfv36KVu2bDp16pSyZ89uaX/ppZe0bNmydC0OAAAASGTzGNfff/9dy5cvV6FChazaS5QooZMnT6ZbYQAAAMCdbO5xvX79ulVPa6LLly/L2dk5XYoCAAAA7mZzcK1Ro4bmzp1rue/g4KCEhASNHTtWtWvXTtfiAAAAgEQ2DxUYO3as6tatq+3btysuLk4DBgzQ/v37dfnyZW3YsCEjagQAAABs73EtV66cjhw5ourVq6t58+a6fv26WrVqpV27dsnf39+mdU2fPl0VKlSQh4eHPDw8FBgYqKVLl1qmx8TEqEePHsqTJ4/c3d0VEhKiyMhIW0sGAADAY8DmHldJ8vT01AcffPDAGy9UqJA+/vhjlShRQsYYzZkzR82bN9euXbv01FNPqV+/fvr111+1cOFCeXp6qmfPnmrVqhU9uwAAAE8gm4NrWFiY3N3d1bp1a6v2hQsX6saNG+rYsWOa19W0aVOr+6NHj9b06dO1efNmFSpUSLNmzdL8+fNVp04dy7bLlCmjzZs3q0qVKraWDgAAADtm81CB0NBQ5c2bN0l7/vz59dFHH913IfHx8VqwYIGuX7+uwMBA7dixQ7du3VJwcLBlntKlS6tw4cLatGlTiuuJjY1VdHS01Q0AAAD2z+bgeurUKRUtWjRJu5+fn06dOmVzAXv37pW7u7ucnZ315ptv6ocfflDZsmUVEREhJycn5cyZ02p+Ly8vRUREpLi+0NBQeXp6Wm6+vr421wQAAIBHj83BNX/+/NqzZ0+S9r/++kt58uSxuYBSpUpp9+7d2rJli9566y117NhRBw4csHk9iQYNGqSoqCjL7fTp0/e9LgAAADw6bB7j2q5dO/Xu3Vs5cuRQzZo1JUlr165Vnz591LZtW5sLcHJyUvHixSVJAQEB2rZtmyZNmqSXXnpJcXFxunLlilWva2RkpLy9vVNcn7OzMz+EAAAA8Biyucd15MiRqly5surWrStXV1e5urrqhRdeUJ06dR5ojGuihIQExcbGKiAgQNmyZdOqVass0w4fPqxTp04pMDDwgbcDAAAA+2JTj6sxRhEREZo9e7ZGjRql3bt3y9XVVeXLl5efn5/NGx80aJAaNmyowoUL6+rVq5o/f77++OMPLV++XJ6enurSpYv69++v3Llzy8PDQ7169VJgYCBXFAAAAHgC2Rxcixcvrv3796tEiRIqUaLEA238/Pnz6tChg86dOydPT09VqFBBy5cvV7169SRJEyZMUJYsWRQSEqLY2FjVr19f06ZNe6BtAgAAwD7ZFFyzZMmiEiVK6NKlSw8cWiVp1qxZqU53cXHR1KlTNXXq1AfeFgAAAOybzWNcP/74Y7377rvat29fRtQDAAAAJMvmqwp06NBBN27c0NNPPy0nJye5urpaTb98+XK6FQcAAAAksjm4Tpw4MQPKAAAAAFJnc3Dt2LFjRtQBAAAApMrmMa6SdOzYMX344Ydq166dzp8/L0launSp9u/fn67FAQAAAIlsDq5r165V+fLltWXLFi1evFjXrl2T9N9Pvg4dOjTdCwQAAACk+wiuAwcO1KhRo7RixQo5OTlZ2uvUqaPNmzena3EAAABAIpuD6969e9WyZcsk7fnz59fFixfTpSgAAADgbjYH15w5c+rcuXNJ2nft2qWCBQumS1EAAADA3WwOrm3bttV7772niIgIOTg4KCEhQRs2bNA777yjDh06ZESNAAAAgO3B9aOPPlLp0qXl6+ura9euqWzZsqpZs6aqVq2qDz/8MCNqBAAAAGy/jquTk5O++OILDRkyRHv37tW1a9f0zDPPqESJEhlRHwAAACDJhuCakJCgcePG6eeff1ZcXJzq1q2roUOHJvnJVwAAACAjpHmowOjRo/X+++/L3d1dBQsW1KRJk9SjR4+MrA0AAACwSHNwnTt3rqZNm6bly5frxx9/1JIlSzRv3jwlJCRkZH0AAACAJBuC66lTp9SoUSPL/eDgYDk4OOjs2bMZUhgAAABwpzQH19u3b8vFxcWqLVu2bLp161a6FwUAAADcLc0nZxlj1KlTJzk7O1vaYmJi9Oabb8rNzc3Stnjx4vStEAAAAJANwbVjx45J2l555ZV0LQYAAABISZqDa1hYWEbWAQAAAKTK5l/OAgAAADIDwRUAAAB2geAKAAAAu0BwBQAAgF0guAIAAMAuEFwBAABgFwiuAAAAsAsEVwAAANgFgisAAADsAsEVAAAAdoHgCgAAALtAcAUAAIBdILgCAADALhBcAQAAYBcyNbiGhobqueeeU44cOZQ/f361aNFChw8ftponJiZGPXr0UJ48eeTu7q6QkBBFRkZmUsUAAADILJkaXNeuXasePXpo8+bNWrFihW7duqUXXnhB169ft8zTr18/LVmyRAsXLtTatWt19uxZtWrVKhOrBgAAQGbImpkbX7ZsmdX92bNnK3/+/NqxY4dq1qypqKgozZo1S/Pnz1edOnUkSWFhYSpTpow2b96sKlWqZEbZAAAAyASP1BjXqKgoSVLu3LklSTt27NCtW7cUHBxsmad06dIqXLiwNm3alOw6YmNjFR0dbXUDAACA/XtkgmtCQoL69u2ratWqqVy5cpKkiIgIOTk5KWfOnFbzenl5KSIiItn1hIaGytPT03Lz9fXN6NIBAADwEDwywbVHjx7at2+fFixY8EDrGTRokKKioiy306dPp1OFAAAAyEyZOsY1Uc+ePfXLL7/ozz//VKFChSzt3t7eiouL05UrV6x6XSMjI+Xt7Z3supydneXs7JzRJQMAAOAhy9QeV2OMevbsqR9++EGrV69W0aJFraYHBAQoW7ZsWrVqlaXt8OHDOnXqlAIDAx92uQAAAMhEmdrj2qNHD82fP18//fSTcuTIYRm36unpKVdXV3l6eqpLly7q37+/cufOLQ8PD/Xq1UuBgYFcUQAAAOAJk6nBdfr06ZKkWrVqWbWHhYWpU6dOkqQJEyYoS5YsCgkJUWxsrOrXr69p06Y95EoBAACQ2TI1uBpj7jmPi4uLpk6dqqlTpz6EigAAAPCoemSuKgAAAACkhuAKAAAAu0BwBQAAgF0guAIAAMAuEFwBAABgFwiuAAAAsAsEVwAAANgFgisAAADsAsEVAAAAdoHgCgAAALtAcAUAAIBdILgCAADALhBcAQAAYBcIrgAAALALBFcAAADYBYIrAAAA7ALBFQAAAHaB4AoAAAC7QHAFAACAXSC4AgAAwC4QXAEAAGAXCK4AAACwCwRXAAAA2AWCKwAAAOwCwRUAAAB2geAKAAAAu0BwBQAAgF0guAIAAMAuEFwBAABgFwiuAAAAsAsEVwAAANgFgisAAADsAsEVAAAAdoHgCgAAALuQqcH1zz//VNOmTeXj4yMHBwf9+OOPVtONMRoyZIgKFCggV1dXBQcHKzw8PHOKBQAAQKbK1OB6/fp1Pf3005o6dWqy08eOHavJkydrxowZ2rJli9zc3FS/fn3FxMQ85EoBAACQ2bJm5sYbNmyohg0bJjvNGKOJEyfqww8/VPPmzSVJc+fOlZeXl3788Ue1bdv2YZYKAACATPbIjnE9fvy4IiIiFBwcbGnz9PRU5cqVtWnTphSXi42NVXR0tNUNAAAA9u+RDa4RERGSJC8vL6t2Ly8vy7TkhIaGytPT03Lz9fXN0DoBAADwcDyywfV+DRo0SFFRUZbb6dOnM7skAAAApINHNrh6e3tLkiIjI63aIyMjLdOS4+zsLA8PD6sbAAAA7N8jG1yLFi0qb29vrVq1ytIWHR2tLVu2KDAwMBMrAwAAQGbI1KsKXLt2TUePHrXcP378uHbv3q3cuXOrcOHC6tu3r0aNGqUSJUqoaNGiGjx4sHx8fNSiRYvMKxoAAACZIlOD6/bt21W7dm3L/f79+0uSOnbsqNmzZ2vAgAG6fv263njjDV25ckXVq1fXsmXL5OLiklklAwAAIJNkanCtVauWjDEpTndwcNCIESM0YsSIh1gVAAAAHkWP7BhXAAAA4E4EVwAAANgFgisAAADsAsEVAAAAdoHgCgAAALtAcAUAAIBdILgCAADALhBcAQAAYBcIrgAAALALBFcAAADYBYIrAAAA7ALBFQAAAHaB4AoAAAC7QHAFAACAXSC4AgAAwC4QXAEAAGAXCK4AAACwCwRXAAAA2AWCKwAAAOwCwRUAAAB2geAKAAAAu0BwBQAAgF0guAIAAMAuEFwBAABgFwiuAAAAsAsEVwAAANgFgisAAADsAsEVAAAAdoHgCgAAALtAcAUAAIBdILgCAADALhBcAQAAYBcIrgAAALALBFcAAADYBbsIrlOnTlWRIkXk4uKiypUra+vWrZldEgAAAB6yRz64fvvtt+rfv7+GDh2qnTt36umnn1b9+vV1/vz5zC4NAAAAD9EjH1zHjx+v119/XZ07d1bZsmU1Y8YMZc+eXV999VVmlwYAAICHKGtmF5CauLg47dixQ4MGDbK0ZcmSRcHBwdq0aVOyy8TGxio2NtZyPyoqSpIUHR2dscWm4HZcTKZsF0DGy6z3lcx2+0bsvWcCYJcy630tcbvGmFTne6SD68WLFxUfHy8vLy+rdi8vLx06dCjZZUJDQzV8+PAk7b6+vhlSI4Anl+fsjzK7BABIV55dJmTq9q9evSpPT88Upz/SwfV+DBo0SP3797fcT0hI0OXLl5UnTx45ODhkYmV43EVHR8vX11enT5+Wh4dHZpcDAA+M9zU8LMYYXb16VT4+PqnO90gH17x588rR0VGRkZFW7ZGRkfL29k52GWdnZzk7O1u15cyZM6NKBJLw8PDgDR7AY4X3NTwMqfW0JnqkT85ycnJSQECAVq1aZWlLSEjQqlWrFBgYmImVAQAA4GF7pHtcJal///7q2LGjKlWqpOeff14TJ07U9evX1blz58wuDQAAAA/RIx9cX3rpJV24cEFDhgxRRESEKlasqGXLliU5YQvIbM7Ozho6dGiSoSoAYK94X8OjxsHc67oDAAAAwCPgkR7jCgAAACQiuAIAAMAuEFwBAABgFwiuQDqYPXs21wsGACCDEVyBO3Tq1EkODg5JbkePHs3s0gDgviX3vnbnbdiwYZldIpAmj/zlsICHrUGDBgoLC7Nqy5cvXyZVAwAP7ty5c5a/v/32Ww0ZMkSHDx+2tLm7u1v+NsYoPj5eWbMSEfDooccVuIuzs7O8vb2tbpMmTVL58uXl5uYmX19fde/eXdeuXUtxHX/99Zdq166tHDlyyMPDQwEBAdq+fbtl+vr161WjRg25urrK19dXvXv31vXr1x/G7gF4At35fubp6SkHBwfL/UOHDilHjhxaunSpAgIC5OzsrPXr16tTp05q0aKF1Xr69u2rWrVqWe4nJCQoNDRURYsWlaurq55++ml9//33D3fn8EQhuAJpkCVLFk2ePFn79+/XnDlztHr1ag0YMCDF+du3b69ChQpp27Zt2rFjhwYOHKhs2bJJko4dO6YGDRooJCREe/bs0bfffqv169erZ8+eD2t3ACCJgQMH6uOPP9bBgwdVoUKFNC0TGhqquXPnasaMGdq/f7/69eunV155RWvXrs3gavGk4nsA4C6//PKL1ddmDRs21MKFCy33ixQpolGjRunNN9/UtGnTkl3HqVOn9O6776p06dKSpBIlSlimhYaGqn379urbt69l2uTJkxUUFKTp06fLxcUlA/YKAFI3YsQI1atXL83zx8bG6qOPPtLKlSsVGBgoSSpWrJjWr1+vzz//XEFBQRlVKp5gBFfgLrVr19b06dMt993c3LRy5UqFhobq0KFDio6O1u3btxUTE6MbN24oe/bsSdbRv39/de3aVV9//bWCg4PVunVr+fv7S/pvGMGePXs0b948y/zGGCUkJOj48eMqU6ZMxu8kANylUqVKNs1/9OhR3bhxI0nYjYuL0zPPPJOepQEWBFfgLm5ubipevLjl/okTJ9SkSRO99dZbGj16tHLnzq3169erS5cuiouLSza4Dhs2TC+//LJ+/fVXLV26VEOHDtWCBQvUsmVLXbt2Td26dVPv3r2TLFe4cOEM3TcASImbm5vV/SxZsujuX4W/deuW5e/Ecf6//vqrChYsaDWfs7NzBlWJJx3BFbiHHTt2KCEhQZ9++qmyZPlvWPh33313z+VKliypkiVLql+/fmrXrp3CwsLUsmVLPfvsszpw4IBVOAaAR02+fPm0b98+q7bdu3dbxuuXLVtWzs7OOnXqFMMC8NBwchZwD8WLF9etW7c0ZcoU/f333/r66681Y8aMFOe/efOmevbsqT/++EMnT57Uhg0btG3bNssQgPfee08bN25Uz549tXv3boWHh+unn37i5CwAj5Q6depo+/btmjt3rsLDwzV06FCrIJsjRw6988476tevn+bMmaNjx45p586dmjJliubMmZOJleNxRnAF7uHpp5/W+PHjNWbMGJUrV07z5s1TaGhoivM7Ojrq0qVL6tChg0qWLKk2bdqoYcOGGj58uCSpQoUKWrt2rY4cOaIaNWromWee0ZAhQ+Tj4/OwdgkA7ql+/foaPHiwBgwYoOeee05Xr15Vhw4drOYZOXKkBg8erNDQUJUpU0YNGjTQr7/+qqJFi2ZS1XjcOZi7B7AAAAAAjyB6XAEAAGAXCK4AAACwCwRXAAAA2AWCKwAAAOwCwRUAAAB2geAKAAAAu0BwBQAAgF0guAIAAMAuEFwB4CGqVauW+vbtm9llAIBdIrgCeKxERESoV69eKlasmJydneXr66umTZtq1apVGb7t+Ph4ffzxxypdurRcXV2VO3duVa5cWV9++WWGb9tWN27c0KBBg+Tv7y8XFxfly5dPQUFB+umnnyzzFClSRBMnTrR53YRzABkla2YXAADp5cSJE6pWrZpy5sypcePGqXz58rp165aWL1+uHj166NChQ8kud+vWLWXLlu2Btz98+HB9/vnn+uyzz1SpUiVFR0dr+/bt+vfffx943entzTff1JYtWzRlyhSVLVtWly5d0saNG3Xp0qXMLg0AUmYA4DHRsGFDU7BgQXPt2rUk0/7991/L35LMtGnTTNOmTU327NnNkCFDjL+/vxk3bpzVMrt27TKSTHh4uDHGmJMnT5pmzZoZNzc3kyNHDtO6dWsTERFhmf/pp582w4YNS7XGoKAg06dPH8v9mJgY8/bbbxsfHx+TPXt28/zzz5s1a9ZYLbNu3TpTvXp14+LiYgoVKmR69epltY9+fn5mxIgRpm3btiZ79uzGx8fHfPbZZ6nW4enpaWbPnp1qnZKsbsYYc/HiRdO2bVvj4+NjXF1dTbly5cz8+fMty3Xs2DHJcsePHzdhYWHG09PTahs//PCDufNjaPfu3aZWrVrG3d3d5MiRwzz77LNm27Ztqe4HgCcLQwUAPBYuX76sZcuWqUePHnJzc0syPWfOnFb3hw0bppYtW2rv3r3q0qWLXnvtNYWFhVnNExYWppo1a6p48eJKSEhQ8+bNdfnyZa1du1YrVqzQ33//rZdeeskyv7e3t1avXq0LFy6kue6ePXtq06ZNWrBggfbs2aPWrVurQYMGCg8PlyQdO3ZMDRo0UEhIiPbs2aNvv/1W69evV8+ePa3WM27cOD399NPatWuXBg4cqD59+mjFihUpbtfb21u//fabrl69muz0xYsXq1ChQhoxYoTOnTunc+fOSZJiYmIUEBCgX3/9Vfv27dMbb7yhV199VVu3bpUkTZo0SYGBgXr99dcty/n6+qbpsWjfvr0KFSqkbdu2aceOHRo4cGC69IQDeIxkdnIGgPSwZcsWI8ksXrz4nvNKMn379rVqO3PmjHF0dDRbtmwxxhgTFxdn8ubNa+mV/P33342jo6M5deqUZZn9+/cbSWbr1q2W+2XKlDFZsmQx5cuXN926dTO//fab1Xbu7HE9efKkcXR0NGfOnLGap27dumbQoEHGGGO6dOli3njjDavp69atM1myZDE3b940xvzX49qgQQOreV566SXTsGHDFB+DtWvXmkKFCpls2bKZSpUqmb59+5r169dbzePn52cmTJiQ4joSNW7c2Lz99tvJ7mOitPS45siRI9VeYACgxxXAY8EYY9P8lSpVsrrv4+Ojxo0b66uvvpIkLVmyRLGxsWrdurUk6eDBg/L19bXqPSxbtqxy5sypgwcPWu7v27dPmzdv1muvvabz58+radOm6tq1a7I17N27V/Hx8SpZsqTc3d0tt7Vr1+rYsWOSpL/++kuzZ8+2ml6/fn0lJCTo+PHjlnUFBgZarTswMNBSV3Jq1qypv//+W6tWrdKLL76o/fv3q0aNGho5cmSqj1t8fLxGjhyp8uXLK3fu3HJ3d9fy5ct16tSpVJdLi/79+6tr164KDg7Wxx9/bHkMACARwRXAY6FEiRJycHBI8QSsuyU3nKBr165asGCBbt68qbCwML300kvKnj27TXVkyZJFzz33nPr27avFixdr9uzZmjVrllXITHTt2jU5Ojpqx44d2r17t+V28OBBTZo0yTJPt27drKb/9ddfCg8Pl7+/v0213S1btmyqUaOG3nvvPf3+++8aMWKERo4cqbi4uBSXGTdunCZNmqT33ntPa9as0e7du1W/fv1Ul0l8XO7+z8WtW7es7g8bNkz79+9X48aNtXr1apUtW1Y//PDD/e8ggMcOVxUA8FjInTu36tevr6lTp6p3795JgumVK1eSjHO9W6NGjeTm5qbp06dr2bJl+vPPPy3TypQpo9OnT+v06dOWXtcDBw7oypUrKlu2bIrrTJx2/fr1JNOeeeYZxcfH6/z586pRo0ayyz/77LM6cOCAihcvnmrtmzdvTnK/TJkyqS6TXK23b99WTEyMnJyc5OTkpPj4eKt5NmzYoObNm+uVV16RJCUkJOjIkSNWj0Fyy+XLl09Xr17V9evXLcdm9+7dSWooWbKkSpYsqX79+qldu3YKCwtTy5YtbdoPAI8velwBPDamTp2q+Ph4Pf/881q0aJHCw8N18OBBTZ48OclX6clxdHRUp06dNGjQIJUoUcJqmeDgYJUvX17t27fXzp07tXXrVnXo0EFBQUGWYQcvvviiJkyYoC1btujkyZP6448/1KNHD5UsWVKlS5dOsr2SJUuqffv26tChgxYvXqzjx49r69atCg0N1a+//ipJeu+997Rx40b17NlTu3fvVnh4uH766ackJ2dt2LBBY8eO1ZEjRzR16lQtXLhQffr0SXFfa9Wqpc8//1w7duzQiRMn9Ntvv+n9999X7dq15eHhIem/67j++eefOnPmjC5evCjpv57tFStWaOPGjTp48KC6deumyMhIq3UXKVJEW7Zs0YkTJ3Tx4kUlJCSocuXKyp49u95//30dO3ZM8+fP1+zZsy3L3Lx5Uz179tQff/yhkydPasOGDdq2bZvN4RvAYy6zB9kCQHo6e/as6dGjh/Hz8zNOTk6mYMGCplmzZlaXmJJkfvjhh2SXP3bsmJFkxo4dm2TavS6HNXPmTFO7dm2TL18+4+TkZAoXLmw6depkTpw4YZnn7hOX4uLizJAhQ0yRIkVMtmzZTIECBUzLli3Nnj17LPNs3brV1KtXz7i7uxs3NzdToUIFM3r0aMt0Pz8/M3z4cNO6dWuTPXt24+3tbSZNmpTq4/TRRx+ZwMBAkzt3buPi4mKKFStmevfubS5evGiZZ9OmTaZChQrG2dnZchLVpUuXTPPmzY27u7vJnz+/+fDDD02HDh1M8+bNLcsdPnzYVKlSxbi6ulouh2XMfydjFS9e3Li6upomTZqYmTNnWtYbGxtr2rZta3x9fY2Tk5Px8fExPXv2tJyABgDGGONgjI1nNADAY2zdunWqW7euTp8+LS8vr8wuJ02KFCmivn378mtVAB57jHEFAEmxsbG6cOGChg0bptatW9tNaAWAJwljXAFA0v/+9z/5+fnpypUrGjt2bGaXAwBIBkMFAAAAYBfocQUAAIBdILgCAADALhBcAQAAYBcIrgAAALALBFcAAADYBYIrAAAA7ALBFQAAAHaB4AoAAAC78P8ABCRdp6YH2CgAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Group data by CryoSleep and calculate the percentage of transported passengers\n",
    "cryosleep_transport = train_df.groupby('CryoSleep')['Transported'].mean() * 100\n",
    "\n",
    "# Plotting the results\n",
    "plt.figure(figsize=(8, 5))\n",
    "sns.barplot(x=cryosleep_transport.index, y=cryosleep_transport.values, palette=\"viridis\")\n",
    "plt.title('Percentage of Passengers Transported by CryoSleep Status')\n",
    "plt.xlabel('CryoSleep Status')\n",
    "plt.ylabel('Percentage Transported')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "86924927",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:42.969576Z",
     "iopub.status.busy": "2024-08-20T16:14:42.969186Z",
     "iopub.status.idle": "2024-08-20T16:14:43.483958Z",
     "shell.execute_reply": "2024-08-20T16:14:43.482709Z"
    },
    "papermill": {
     "duration": 0.53241,
     "end_time": "2024-08-20T16:14:43.487174",
     "exception": false,
     "start_time": "2024-08-20T16:14:42.954764",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Splitting the Cabin into Deck and Side for analysis\n",
    "train_df['Deck'] = train_df['Cabin'].apply(lambda x: x.split('/')[0] if pd.notnull(x) else None)\n",
    "train_df['Side'] = train_df['Cabin'].apply(lambda x: x.split('/')[2] if pd.notnull(x) else None)\n",
    "\n",
    "# Group data by Deck and Side to calculate the mean transported rate\n",
    "cabin_transport = train_df.groupby(['Deck', 'Side'])['Transported'].mean().unstack() * 100\n",
    "\n",
    "# Plotting the heatmap\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.heatmap(cabin_transport, annot=True, cmap=\"viridis\", fmt=\".1f\")\n",
    "plt.title('Percentage of Passengers Transported by Cabin Deck and Side')\n",
    "plt.xlabel('Side')\n",
    "plt.ylabel('Deck')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "aee9895d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:43.517119Z",
     "iopub.status.busy": "2024-08-20T16:14:43.516679Z",
     "iopub.status.idle": "2024-08-20T16:14:43.806253Z",
     "shell.execute_reply": "2024-08-20T16:14:43.804740Z"
    },
    "papermill": {
     "duration": 0.307405,
     "end_time": "2024-08-20T16:14:43.808946",
     "exception": false,
     "start_time": "2024-08-20T16:14:43.501541",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Group data by Destination and calculate the percentage of transported passengers\n",
    "destination_transport = train_df.groupby('Destination')['Transported'].mean() * 100\n",
    "\n",
    "# Plotting the results\n",
    "plt.figure(figsize=(8, 5))\n",
    "sns.barplot(x=destination_transport.index, y=destination_transport.values, palette=\"viridis\")\n",
    "plt.title('Percentage of Passengers Transported by Destination Planet')\n",
    "plt.xlabel('Destination Planet')\n",
    "plt.ylabel('Percentage Transported')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1ea09c46",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:43.841788Z",
     "iopub.status.busy": "2024-08-20T16:14:43.841404Z",
     "iopub.status.idle": "2024-08-20T16:14:44.226544Z",
     "shell.execute_reply": "2024-08-20T16:14:44.225338Z"
    },
    "papermill": {
     "duration": 0.404533,
     "end_time": "2024-08-20T16:14:44.229163",
     "exception": false,
     "start_time": "2024-08-20T16:14:43.824630",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Count the total number of passengers at each age\n",
    "age_total = train_df['Age'].value_counts().sort_index()\n",
    "\n",
    "# Calculate the number of transported passengers at each age\n",
    "age_transport = train_df[train_df['Transported'] == True]['Age'].value_counts().sort_index()\n",
    "\n",
    "# Plotting the overlaying graphs\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "# Plot total passengers by age (red line)\n",
    "plt.plot(age_total.index, age_total.values, color='red', label='Total Passengers')\n",
    "\n",
    "# Plot transported passengers by age (blue line)\n",
    "plt.plot(age_transport.index, age_transport.values, color='blue', label='Transported Passengers')\n",
    "\n",
    "# Adding labels and title\n",
    "plt.title('Total Passengers vs Transported Passengers by Age')\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Number of Passengers')\n",
    "plt.legend()\n",
    "\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "de36ddae",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:44.261490Z",
     "iopub.status.busy": "2024-08-20T16:14:44.261066Z",
     "iopub.status.idle": "2024-08-20T16:14:44.527037Z",
     "shell.execute_reply": "2024-08-20T16:14:44.525753Z"
    },
    "papermill": {
     "duration": 0.285685,
     "end_time": "2024-08-20T16:14:44.529908",
     "exception": false,
     "start_time": "2024-08-20T16:14:44.244223",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Group data by VIP status and calculate the percentage of transported passengers\n",
    "vip_transport = train_df.groupby('VIP')['Transported'].mean() * 100\n",
    "\n",
    "# Plotting the results\n",
    "plt.figure(figsize=(8, 5))\n",
    "sns.barplot(x=vip_transport.index, y=vip_transport.values, palette=\"viridis\")\n",
    "plt.title('Percentage of Passengers Transported by VIP Status')\n",
    "plt.xlabel('VIP Status')\n",
    "plt.ylabel('Percentage Transported')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5e259a3f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:44.563165Z",
     "iopub.status.busy": "2024-08-20T16:14:44.562677Z",
     "iopub.status.idle": "2024-08-20T16:14:44.875530Z",
     "shell.execute_reply": "2024-08-20T16:14:44.874184Z"
    },
    "papermill": {
     "duration": 0.332898,
     "end_time": "2024-08-20T16:14:44.878494",
     "exception": false,
     "start_time": "2024-08-20T16:14:44.545596",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate total billed amount for each passenger\n",
    "train_df['TotalBilled'] = train_df[['RoomService', 'FoodCourt', 'ShoppingMall', 'Spa', 'VRDeck']].sum(axis=1)\n",
    "\n",
    "# Plotting the results\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.boxplot(x='Transported', y='TotalBilled', data=train_df, palette=\"viridis\")\n",
    "plt.title('Total Billed Amount vs Transported')\n",
    "plt.xlabel('Transported')\n",
    "plt.ylabel('Total Billed Amount')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cbd6db83",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:44.915230Z",
     "iopub.status.busy": "2024-08-20T16:14:44.914749Z",
     "iopub.status.idle": "2024-08-20T16:14:45.210943Z",
     "shell.execute_reply": "2024-08-20T16:14:45.209735Z"
    },
    "papermill": {
     "duration": 0.318039,
     "end_time": "2024-08-20T16:14:45.213479",
     "exception": false,
     "start_time": "2024-08-20T16:14:44.895440",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Group the data by CryoSleep and VIP status and calculate the percentage of transported passengers\n",
    "cryo_vip_transport = train_df.groupby(['CryoSleep', 'VIP'])['Transported'].mean().unstack() * 100\n",
    "\n",
    "# Plotting the grouped bar chart\n",
    "plt.figure(figsize=(10, 6))\n",
    "cryo_vip_transport.plot(kind='bar', stacked=True, color=['skyblue', 'salmon'])\n",
    "\n",
    "# Adding labels and title\n",
    "plt.title('Percentage of Passengers Transported by CryoSleep and VIP Status')\n",
    "plt.xlabel('CryoSleep Status')\n",
    "plt.ylabel('Percentage Transported')\n",
    "plt.legend(title='VIP Status', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2a87504e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:45.250014Z",
     "iopub.status.busy": "2024-08-20T16:14:45.248954Z",
     "iopub.status.idle": "2024-08-20T16:14:45.612710Z",
     "shell.execute_reply": "2024-08-20T16:14:45.611221Z"
    },
    "papermill": {
     "duration": 0.384903,
     "end_time": "2024-08-20T16:14:45.615517",
     "exception": false,
     "start_time": "2024-08-20T16:14:45.230614",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate total number of passengers in each CryoSleep category\n",
    "cryo_counts = train_df['CryoSleep'].value_counts()\n",
    "\n",
    "# Calculate the percentage of passengers transported in each CryoSleep category\n",
    "cryo_transport_rate = train_df.groupby('CryoSleep')['Transported'].mean() * 100\n",
    "\n",
    "# Plotting\n",
    "fig, ax1 = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "# Plot the total number of passengers as bars (left y-axis)\n",
    "ax1.bar(cryo_counts.index, cryo_counts.values, color='lightblue', label='Total Passengers')\n",
    "ax1.set_xlabel('CryoSleep Status')\n",
    "ax1.set_ylabel('Total Passengers', color='lightblue')\n",
    "ax1.tick_params(axis='y', labelcolor='lightblue')\n",
    "\n",
    "# Create a second y-axis to plot the transport rate\n",
    "ax2 = ax1.twinx()\n",
    "ax2.plot(cryo_transport_rate.index, cryo_transport_rate.values, color='red', marker='o', label='Transported Percentage')\n",
    "ax2.set_ylabel('Percentage Transported', color='red')\n",
    "ax2.tick_params(axis='y', labelcolor='red')\n",
    "\n",
    "# Adding title and legends\n",
    "fig.suptitle('CryoSleep vs Not Sleeping: Total Passengers and Transported Percentage', fontsize=14)\n",
    "ax1.legend(loc='upper left')\n",
    "ax2.legend(loc='upper right')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2066f9f7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:45.653316Z",
     "iopub.status.busy": "2024-08-20T16:14:45.652818Z",
     "iopub.status.idle": "2024-08-20T16:14:45.914736Z",
     "shell.execute_reply": "2024-08-20T16:14:45.913467Z"
    },
    "papermill": {
     "duration": 0.284008,
     "end_time": "2024-08-20T16:14:45.917507",
     "exception": false,
     "start_time": "2024-08-20T16:14:45.633499",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Group the data by CryoSleep status and calculate the percentage of transported passengers\n",
    "cryo_transport = train_df.groupby(['CryoSleep'])['Transported'].mean() * 100\n",
    "\n",
    "# Count the total number of passengers for each CryoSleep status\n",
    "cryo_counts = train_df['CryoSleep'].value_counts()\n",
    "\n",
    "# Combine the two into a DataFrame for easy plotting\n",
    "cryo_df = pd.DataFrame({'Total Passengers': cryo_counts, 'Percentage Transported': cryo_transport})\n",
    "\n",
    "# Plotting the grouped bar chart\n",
    "plt.figure(figsize=(10, 6))\n",
    "cryo_df.plot(kind='bar', stacked=False, color=['skyblue', 'salmon'])\n",
    "\n",
    "# Adding labels and title\n",
    "plt.title('Total Passengers and Percentage Transported by CryoSleep Status')\n",
    "plt.xlabel('CryoSleep Status')\n",
    "plt.ylabel('Count / Percentage')\n",
    "plt.legend(title='Metric', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cbed7223",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:45.957192Z",
     "iopub.status.busy": "2024-08-20T16:14:45.956711Z",
     "iopub.status.idle": "2024-08-20T16:14:46.008561Z",
     "shell.execute_reply": "2024-08-20T16:14:46.007272Z"
    },
    "papermill": {
     "duration": 0.074649,
     "end_time": "2024-08-20T16:14:46.011154",
     "exception": false,
     "start_time": "2024-08-20T16:14:45.936505",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           Total Passengers  Percentage Transported\n",
      "CryoSleep                                          \n",
      "False                  5439               32.892076\n",
      "True                   3037               81.758314\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# Load the training data\n",
    "train_df = pd.read_csv('/kaggle/input/spaceship-titanic/train.csv')\n",
    "\n",
    "# Group the data by CryoSleep status and calculate the percentage of transported passengers\n",
    "cryo_transport = train_df.groupby(['CryoSleep'])['Transported'].mean() * 100\n",
    "\n",
    "# Count the total number of passengers for each CryoSleep status\n",
    "cryo_counts = train_df['CryoSleep'].value_counts()\n",
    "\n",
    "# Combine the two into a DataFrame for easy comparison\n",
    "cryo_df = pd.DataFrame({\n",
    "    'Total Passengers': cryo_counts,\n",
    "    'Percentage Transported': cryo_transport\n",
    "})\n",
    "\n",
    "# Display the DataFrame\n",
    "print(cryo_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "da137ee1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:46.051022Z",
     "iopub.status.busy": "2024-08-20T16:14:46.050525Z",
     "iopub.status.idle": "2024-08-20T16:14:46.143164Z",
     "shell.execute_reply": "2024-08-20T16:14:46.141835Z"
    },
    "papermill": {
     "duration": 0.115989,
     "end_time": "2024-08-20T16:14:46.146138",
     "exception": false,
     "start_time": "2024-08-20T16:14:46.030149",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CryoSleep      False       True \n",
      "Deck Side                       \n",
      "A    P     25.882353   96.551724\n",
      "     S     38.144330   92.307692\n",
      "B    P     33.540373   98.369565\n",
      "     S     50.000000  100.000000\n",
      "C    P     31.683168   98.461538\n",
      "     S     59.210526  100.000000\n",
      "D    P     26.666667   97.826087\n",
      "     S     28.994083  100.000000\n",
      "E    P     28.739003   61.333333\n",
      "     S     28.530259   67.741935\n",
      "F    P     26.744186   98.924731\n",
      "     S     33.837429   98.154982\n",
      "G    P     28.042328   59.379616\n",
      "     S     41.968912   72.511144\n",
      "T    P     25.000000         NaN\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Load the training data\n",
    "train_df = pd.read_csv('/kaggle/input/spaceship-titanic/train.csv')\n",
    "\n",
    "# Split the Cabin into Deck and Side\n",
    "train_df['Deck'] = train_df['Cabin'].apply(lambda x: x.split('/')[0] if pd.notnull(x) else None)\n",
    "train_df['Side'] = train_df['Cabin'].apply(lambda x: x.split('/')[2] if pd.notnull(x) else None)\n",
    "\n",
    "# Create a pivot table to show the percentage of passengers transported by CryoSleep, Deck, and Side\n",
    "cryo_deck_side_transport = train_df.pivot_table(index=['Deck', 'Side'], \n",
    "                                                columns='CryoSleep', \n",
    "                                                values='Transported', \n",
    "                                                aggfunc='mean') * 100\n",
    "\n",
    "# Display the pivot table\n",
    "print(cryo_deck_side_transport)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7c83d5ab",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:46.186288Z",
     "iopub.status.busy": "2024-08-20T16:14:46.185816Z",
     "iopub.status.idle": "2024-08-20T16:14:46.246083Z",
     "shell.execute_reply": "2024-08-20T16:14:46.244864Z"
    },
    "papermill": {
     "duration": 0.083539,
     "end_time": "2024-08-20T16:14:46.248769",
     "exception": false,
     "start_time": "2024-08-20T16:14:46.165230",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average Spending by CryoSleep Status:\n",
      "CryoSleep\n",
      "False    2248.299687\n",
      "True        0.000000\n",
      "Name: TotalSpending, dtype: float64\n",
      "\n",
      "Spending Habits by CryoSleep and Transported Status:\n",
      "Transported        False        True \n",
      "CryoSleep                            \n",
      "False        2311.723288  2118.899944\n",
      "True            0.000000     0.000000\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Load the training data\n",
    "train_df = pd.read_csv('/kaggle/input/spaceship-titanic/train.csv')\n",
    "\n",
    "# Calculate total spending for each passenger\n",
    "train_df['TotalSpending'] = train_df[['RoomService', 'FoodCourt', 'ShoppingMall', 'Spa', 'VRDeck']].sum(axis=1)\n",
    "\n",
    "# Group by CryoSleep status and calculate the average spending\n",
    "average_spending = train_df.groupby('CryoSleep')['TotalSpending'].mean()\n",
    "\n",
    "# Display the average spending based on CryoSleep status\n",
    "print(\"Average Spending by CryoSleep Status:\")\n",
    "print(average_spending)\n",
    "\n",
    "# Group by CryoSleep and Transported status to compare spending\n",
    "spending_transport = train_df.groupby(['CryoSleep', 'Transported'])['TotalSpending'].mean().unstack()\n",
    "\n",
    "# Display the spending habits for transported vs non-transported passengers by CryoSleep status\n",
    "print(\"\\nSpending Habits by CryoSleep and Transported Status:\")\n",
    "print(spending_transport)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c36f9a4d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:46.290037Z",
     "iopub.status.busy": "2024-08-20T16:14:46.289585Z",
     "iopub.status.idle": "2024-08-20T16:14:46.750819Z",
     "shell.execute_reply": "2024-08-20T16:14:46.749543Z"
    },
    "papermill": {
     "duration": 0.485925,
     "end_time": "2024-08-20T16:14:46.753892",
     "exception": false,
     "start_time": "2024-08-20T16:14:46.267967",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import accuracy_score\n",
    "from xgboost import XGBClassifier\n",
    "from sklearn.preprocessing import LabelEncoder\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "98ef08de",
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_18/2387249837.py:6: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
      "\n",
      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
      "\n",
      "\n",
      "  train_df['CryoSleep'].fillna(False, inplace=True)  # Assuming missing values mean not in CryoSleep\n",
      "/tmp/ipykernel_18/2387249837.py:6: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
      "  train_df['CryoSleep'].fillna(False, inplace=True)  # Assuming missing values mean not in CryoSleep\n",
      "/tmp/ipykernel_18/2387249837.py:7: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
      "\n",
      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
      "\n",
      "\n",
      "  train_df['Age'].fillna(train_df['Age'].median(), inplace=True)\n",
      "/tmp/ipykernel_18/2387249837.py:8: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
      "\n",
      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
      "\n",
      "\n",
      "  train_df['VIP'].fillna(False, inplace=True)\n",
      "/tmp/ipykernel_18/2387249837.py:8: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
      "  train_df['VIP'].fillna(False, inplace=True)\n",
      "/tmp/ipykernel_18/2387249837.py:9: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
      "\n",
      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
      "\n",
      "\n",
      "  train_df['RoomService'].fillna(0, inplace=True)\n",
      "/tmp/ipykernel_18/2387249837.py:10: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
      "\n",
      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
      "\n",
      "\n",
      "  train_df['FoodCourt'].fillna(0, inplace=True)\n",
      "/tmp/ipykernel_18/2387249837.py:11: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
      "\n",
      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
      "\n",
      "\n",
      "  train_df['ShoppingMall'].fillna(0, inplace=True)\n",
      "/tmp/ipykernel_18/2387249837.py:12: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
      "\n",
      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
      "\n",
      "\n",
      "  train_df['Spa'].fillna(0, inplace=True)\n",
      "/tmp/ipykernel_18/2387249837.py:13: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
      "\n",
      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
      "\n",
      "\n",
      "  train_df['VRDeck'].fillna(0, inplace=True)\n",
      "/tmp/ipykernel_18/2387249837.py:14: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
      "\n",
      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
      "\n",
      "\n",
      "  train_df['HomePlanet'].fillna('Unknown', inplace=True)\n",
      "/tmp/ipykernel_18/2387249837.py:15: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
      "\n",
      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
      "\n",
      "\n",
      "  train_df['Destination'].fillna('Unknown', inplace=True)\n",
      "/tmp/ipykernel_18/2387249837.py:16: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
      "\n",
      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
      "\n",
      "\n",
      "  train_df['Cabin'].fillna('Unknown/0/Unknown', inplace=True)\n"
     ]
    }
   ],
   "source": [
    "# Load the data\n",
    "train_df = pd.read_csv('/kaggle/input/spaceship-titanic/train.csv')\n",
    "test_df = pd.read_csv('/kaggle/input/spaceship-titanic/test.csv')\n",
    "\n",
    "# Fill missing values\n",
    "train_df['CryoSleep'].fillna(False, inplace=True)  # Assuming missing values mean not in CryoSleep\n",
    "train_df['Age'].fillna(train_df['Age'].median(), inplace=True)\n",
    "train_df['VIP'].fillna(False, inplace=True)\n",
    "train_df['RoomService'].fillna(0, inplace=True)\n",
    "train_df['FoodCourt'].fillna(0, inplace=True)\n",
    "train_df['ShoppingMall'].fillna(0, inplace=True)\n",
    "train_df['Spa'].fillna(0, inplace=True)\n",
    "train_df['VRDeck'].fillna(0, inplace=True)\n",
    "train_df['HomePlanet'].fillna('Unknown', inplace=True)\n",
    "train_df['Destination'].fillna('Unknown', inplace=True)\n",
    "train_df['Cabin'].fillna('Unknown/0/Unknown', inplace=True)\n",
    "\n",
    "# Feature Engineering\n",
    "train_df['Deck'] = train_df['Cabin'].apply(lambda x: x.split('/')[0])\n",
    "train_df['Side'] = train_df['Cabin'].apply(lambda x: x.split('/')[2])\n",
    "train_df['TotalSpending'] = train_df[['RoomService', 'FoodCourt', 'ShoppingMall', 'Spa', 'VRDeck']].sum(axis=1)\n",
    "\n",
    "# Label Encoding for categorical variables\n",
    "le = LabelEncoder()\n",
    "train_df['HomePlanet'] = le.fit_transform(train_df['HomePlanet'])\n",
    "train_df['Destination'] = le.fit_transform(train_df['Destination'])\n",
    "train_df['Deck'] = le.fit_transform(train_df['Deck'])\n",
    "train_df['Side'] = le.fit_transform(train_df['Side'])\n",
    "\n",
    "# Selecting features and target\n",
    "features = ['HomePlanet', 'CryoSleep', 'Age', 'VIP', 'RoomService', 'FoodCourt', \n",
    "            'ShoppingMall', 'Spa', 'VRDeck', 'Deck', 'Side', 'TotalSpending']\n",
    "target = 'Transported'\n",
    "\n",
    "X = train_df[features]\n",
    "y = train_df[target]\n",
    "\n",
    "# Split the data into training and validation sets\n",
    "X_train, X_val, y_train, y_val = train_test_split(X, y, test_size=0.2, random_state=42)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ef696ea8",
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    "execution": {
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             RoomService   FoodCourt  ShoppingMall         Spa      VRDeck\n",
      "Transported                                                               \n",
      "False         380.425261  375.167555    163.915875  552.349479  532.291078\n",
      "True           61.901782  520.646185    175.147328   60.393559   67.600274\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "# Load the training data\n",
    "train_df = pd.read_csv('/kaggle/input/spaceship-titanic/train.csv')\n",
    "\n",
    "# Fill missing values in spending columns with 0 (assuming no spending if missing)\n",
    "spending_columns = ['RoomService', 'FoodCourt', 'ShoppingMall', 'Spa', 'VRDeck']\n",
    "train_df[spending_columns] = train_df[spending_columns].fillna(0)\n",
    "\n",
    "# Calculate the average spending for transported vs. non-transported passengers\n",
    "spending_means = train_df.groupby('Transported')[spending_columns].mean()\n",
    "\n",
    "# Display the result\n",
    "print(spending_means)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "28d6be7f",
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RoomService    -0.241124\n",
      "FoodCourt       0.045583\n",
      "ShoppingMall    0.009391\n",
      "Spa            -0.218545\n",
      "VRDeck         -0.204874\n",
      "Name: Transported, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# Calculate the correlation between spending columns and the target variable\n",
    "correlations = train_df[spending_columns + ['Transported']].corr()['Transported'].drop('Transported')\n",
    "\n",
    "# Display the correlations\n",
    "print(correlations)\n"
   ]
  },
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   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Create box plots for each spending category\n",
    "plt.figure(figsize=(12, 8))\n",
    "for i, col in enumerate(spending_columns, 1):\n",
    "    plt.subplot(2, 3, i)\n",
    "    sns.boxplot(x='Transported', y=col, data=train_df)\n",
    "    plt.title(f'{col} vs Transported')\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e0d9a078",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:48.519060Z",
     "iopub.status.busy": "2024-08-20T16:14:48.518603Z",
     "iopub.status.idle": "2024-08-20T16:14:48.534428Z",
     "shell.execute_reply": "2024-08-20T16:14:48.533124Z"
    },
    "papermill": {
     "duration": 0.041232,
     "end_time": "2024-08-20T16:14:48.537020",
     "exception": false,
     "start_time": "2024-08-20T16:14:48.495788",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       RoomService    FoodCourt  ShoppingMall         Spa       VRDeck\n",
      "VIP                                                                   \n",
      "False   212.686045   417.440598    169.702931  295.197202   276.477868\n",
      "True    464.095477  1756.778894    241.502513  753.065327  1210.035176\n"
     ]
    }
   ],
   "source": [
    "# Calculate the average spending for VIP vs. non-VIP passengers\n",
    "vip_spending_means = train_df.groupby('VIP')[spending_columns].mean()\n",
    "\n",
    "# Display the result\n",
    "print(vip_spending_means)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "dc580cc4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:48.581750Z",
     "iopub.status.busy": "2024-08-20T16:14:48.581314Z",
     "iopub.status.idle": "2024-08-20T16:14:48.600880Z",
     "shell.execute_reply": "2024-08-20T16:14:48.599612Z"
    },
    "papermill": {
     "duration": 0.044944,
     "end_time": "2024-08-20T16:14:48.603508",
     "exception": false,
     "start_time": "2024-08-20T16:14:48.558564",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "VIP                \n",
      "False  RoomService    -0.239491\n",
      "       FoodCourt       0.039840\n",
      "       ShoppingMall    0.010969\n",
      "       Spa            -0.217026\n",
      "       VRDeck         -0.200860\n",
      "True   RoomService    -0.288752\n",
      "       FoodCourt       0.259667\n",
      "       ShoppingMall   -0.022408\n",
      "       Spa            -0.200206\n",
      "       VRDeck         -0.302595\n",
      "Name: Transported, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# Calculate correlations within each VIP status group\n",
    "vip_spending_correlation = train_df.groupby('VIP')[spending_columns + ['Transported']].corr()['Transported'].drop('Transported', level=1)\n",
    "\n",
    "# Display the correlation results\n",
    "print(vip_spending_correlation)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "4e65be15",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:48.648665Z",
     "iopub.status.busy": "2024-08-20T16:14:48.648254Z",
     "iopub.status.idle": "2024-08-20T16:14:50.388636Z",
     "shell.execute_reply": "2024-08-20T16:14:50.387305Z"
    },
    "papermill": {
     "duration": 1.76758,
     "end_time": "2024-08-20T16:14:50.392309",
     "exception": false,
     "start_time": "2024-08-20T16:14:48.624729",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1000 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Create box plots for each spending category, split by VIP status\n",
    "plt.figure(figsize=(15, 10))\n",
    "for i, col in enumerate(spending_columns, 1):\n",
    "    plt.subplot(2, 3, i)\n",
    "    sns.boxplot(x='Transported', y=col, hue='VIP', data=train_df)\n",
    "    plt.title(f'{col} vs Transported (by VIP Status)')\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1250730b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:50.441703Z",
     "iopub.status.busy": "2024-08-20T16:14:50.440678Z",
     "iopub.status.idle": "2024-08-20T16:14:50.531624Z",
     "shell.execute_reply": "2024-08-20T16:14:50.530218Z"
    },
    "papermill": {
     "duration": 0.1184,
     "end_time": "2024-08-20T16:14:50.534580",
     "exception": false,
     "start_time": "2024-08-20T16:14:50.416180",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Side          P          S\n",
      "Deck                      \n",
      "A     12.931034  14.925373\n",
      "B      6.896552   4.295943\n",
      "C      6.306306   5.063291\n",
      "D      7.317073   5.829596\n",
      "E      1.196172   2.257336\n",
      "F      1.352313    0.75815\n",
      "G           0.0        0.0\n",
      "T           0.0        0.0\n"
     ]
    }
   ],
   "source": [
    "# Load the training data\n",
    "train_df = pd.read_csv('/kaggle/input/spaceship-titanic/train.csv')\n",
    "\n",
    "# Split the Cabin into Deck and Side\n",
    "train_df['Deck'] = train_df['Cabin'].apply(lambda x: x.split('/')[0] if pd.notnull(x) else None)\n",
    "train_df['Side'] = train_df['Cabin'].apply(lambda x: x.split('/')[2] if pd.notnull(x) else None)\n",
    "\n",
    "# Calculate the proportion of VIP passengers in each Deck and Side\n",
    "vip_distribution = train_df.groupby(['Deck', 'Side'])['VIP'].mean() * 100\n",
    "\n",
    "# Display the distribution\n",
    "print(vip_distribution.unstack())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "594cca4b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:50.583965Z",
     "iopub.status.busy": "2024-08-20T16:14:50.583563Z",
     "iopub.status.idle": "2024-08-20T16:14:51.110417Z",
     "shell.execute_reply": "2024-08-20T16:14:51.109147Z"
    },
    "papermill": {
     "duration": 0.555344,
     "end_time": "2024-08-20T16:14:51.113199",
     "exception": false,
     "start_time": "2024-08-20T16:14:50.557855",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_18/4256035673.py:16: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
      "  vip_distribution = vip_distribution.unstack().fillna(0)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Load the training data\n",
    "train_df = pd.read_csv('/kaggle/input/spaceship-titanic/train.csv')\n",
    "\n",
    "# Split the Cabin into Deck and Side\n",
    "train_df['Deck'] = train_df['Cabin'].apply(lambda x: x.split('/')[0] if pd.notnull(x) else 'Unknown')\n",
    "train_df['Side'] = train_df['Cabin'].apply(lambda x: x.split('/')[2] if pd.notnull(x) else 'Unknown')\n",
    "\n",
    "# Calculate the proportion of VIP passengers in each Deck and Side\n",
    "vip_distribution = train_df.groupby(['Deck', 'Side'])['VIP'].mean() * 100\n",
    "\n",
    "# Fill missing values with 0 (if any)\n",
    "vip_distribution = vip_distribution.unstack().fillna(0)\n",
    "\n",
    "# Create a heatmap to visualize VIP distribution across Deck and Side\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.heatmap(vip_distribution, annot=True, cmap=\"YlGnBu\", fmt=\".1f\")\n",
    "plt.title('Proportion of VIP Passengers by Cabin Deck and Side')\n",
    "plt.xlabel('Side')\n",
    "plt.ylabel('Deck')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "82ee0664",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:51.164300Z",
     "iopub.status.busy": "2024-08-20T16:14:51.163798Z",
     "iopub.status.idle": "2024-08-20T16:14:51.253601Z",
     "shell.execute_reply": "2024-08-20T16:14:51.252401Z"
    },
    "papermill": {
     "duration": 0.119341,
     "end_time": "2024-08-20T16:14:51.257676",
     "exception": false,
     "start_time": "2024-08-20T16:14:51.138335",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Side             P          S  Unknown\n",
      "Deck                                  \n",
      "A        25.438596  28.676471     0.00\n",
      "B        53.333333  56.626506     0.00\n",
      "C        39.156627  41.836735     0.00\n",
      "D        19.087137  25.550661     0.00\n",
      "E        18.028846  21.136364     0.00\n",
      "F        19.971367  20.391272     0.00\n",
      "G        54.421222  53.753994     0.00\n",
      "T         0.000000   0.000000     0.00\n",
      "Unknown   0.000000   0.000000    43.75\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_18/3674393454.py:16: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
      "  cryosleep_distribution = cryosleep_distribution.unstack().fillna(0)\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Load the training data\n",
    "train_df = pd.read_csv('/kaggle/input/spaceship-titanic/train.csv')\n",
    "\n",
    "# Split the Cabin into Deck and Side\n",
    "train_df['Deck'] = train_df['Cabin'].apply(lambda x: x.split('/')[0] if pd.notnull(x) else 'Unknown')\n",
    "train_df['Side'] = train_df['Cabin'].apply(lambda x: x.split('/')[2] if pd.notnull(x) else 'Unknown')\n",
    "\n",
    "# Calculate the proportion of CryoSleep passengers in each Deck and Side\n",
    "cryosleep_distribution = train_df.groupby(['Deck', 'Side'])['CryoSleep'].mean() * 100\n",
    "\n",
    "# Fill missing values with 0 (if any)\n",
    "cryosleep_distribution = cryosleep_distribution.unstack().fillna(0)\n",
    "\n",
    "# Display the distribution\n",
    "print(cryosleep_distribution)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "c40cf83a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:51.309135Z",
     "iopub.status.busy": "2024-08-20T16:14:51.307922Z",
     "iopub.status.idle": "2024-08-20T16:14:51.754761Z",
     "shell.execute_reply": "2024-08-20T16:14:51.753462Z"
    },
    "papermill": {
     "duration": 0.475947,
     "end_time": "2024-08-20T16:14:51.757680",
     "exception": false,
     "start_time": "2024-08-20T16:14:51.281733",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a heatmap to visualize CryoSleep distribution across Deck and Side\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.heatmap(cryosleep_distribution, annot=True, cmap=\"coolwarm\", fmt=\".1f\")\n",
    "plt.title('Proportion of CryoSleep Passengers by Cabin Deck and Side')\n",
    "plt.xlabel('Side')\n",
    "plt.ylabel('Deck')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "fed568a7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:51.809762Z",
     "iopub.status.busy": "2024-08-20T16:14:51.809342Z",
     "iopub.status.idle": "2024-08-20T16:14:51.822784Z",
     "shell.execute_reply": "2024-08-20T16:14:51.821482Z"
    },
    "papermill": {
     "duration": 0.042488,
     "end_time": "2024-08-20T16:14:51.825362",
     "exception": false,
     "start_time": "2024-08-20T16:14:51.782874",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "VIP\n",
      "False    36.380505\n",
      "True     10.714286\n",
      "Name: CryoSleep, dtype: object\n"
     ]
    }
   ],
   "source": [
    "# Calculate the proportion of VIP passengers in CryoSleep\n",
    "vip_cryo_proportion = train_df.groupby('VIP')['CryoSleep'].mean() * 100\n",
    "\n",
    "# Display the result\n",
    "print(vip_cryo_proportion)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "bf32ee0e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:51.877683Z",
     "iopub.status.busy": "2024-08-20T16:14:51.877251Z",
     "iopub.status.idle": "2024-08-20T16:14:53.292673Z",
     "shell.execute_reply": "2024-08-20T16:14:53.291458Z"
    },
    "papermill": {
     "duration": 1.444808,
     "end_time": "2024-08-20T16:14:53.295487",
     "exception": false,
     "start_time": "2024-08-20T16:14:51.850679",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Create a comparison of CryoSleep rates between VIP and non-VIP passengers\n",
    "plt.figure(figsize=(8, 5))\n",
    "sns.barplot(x='VIP', y='CryoSleep', data=train_df)\n",
    "plt.title('CryoSleep Rate Among VIP and Non-VIP Passengers')\n",
    "plt.xlabel('VIP Status')\n",
    "plt.ylabel('Proportion in CryoSleep')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "63b279a4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:53.358801Z",
     "iopub.status.busy": "2024-08-20T16:14:53.358340Z",
     "iopub.status.idle": "2024-08-20T16:14:53.804766Z",
     "shell.execute_reply": "2024-08-20T16:14:53.803577Z"
    },
    "papermill": {
     "duration": 0.485963,
     "end_time": "2024-08-20T16:14:53.807817",
     "exception": false,
     "start_time": "2024-08-20T16:14:53.321854",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_18/989795565.py:8: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
      "  vip_cryo_distribution = vip_cryo_distribution.unstack().fillna(0)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Filter the data for VIP passengers\n",
    "vip_df = train_df[train_df['VIP'] == True]\n",
    "\n",
    "# Calculate the proportion of VIP passengers in CryoSleep by Deck and Side\n",
    "vip_cryo_distribution = vip_df.groupby(['Deck', 'Side'])['CryoSleep'].mean() * 100\n",
    "\n",
    "# Fill missing values with 0 (if any)\n",
    "vip_cryo_distribution = vip_cryo_distribution.unstack().fillna(0)\n",
    "\n",
    "# Create a heatmap to visualize CryoSleep distribution among VIPs across Deck and Side\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.heatmap(vip_cryo_distribution, annot=True, cmap=\"coolwarm\", fmt=\".1f\")\n",
    "plt.title('Proportion of VIP Passengers in CryoSleep by Cabin Deck and Side')\n",
    "plt.xlabel('Side')\n",
    "plt.ylabel('Deck')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "7185fb43",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:53.863631Z",
     "iopub.status.busy": "2024-08-20T16:14:53.862625Z",
     "iopub.status.idle": "2024-08-20T16:14:54.393565Z",
     "shell.execute_reply": "2024-08-20T16:14:54.392229Z"
    },
    "papermill": {
     "duration": 0.561796,
     "end_time": "2024-08-20T16:14:54.396311",
     "exception": false,
     "start_time": "2024-08-20T16:14:53.834515",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_18/459400968.py:16: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
      "  train_df['CryoSleep'] = train_df['CryoSleep'].fillna(False).astype(bool)\n",
      "/tmp/ipykernel_18/459400968.py:17: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
      "  train_df['VIP'] = train_df['VIP'].fillna(False).astype(bool)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Validation Accuracy: 0.7234\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.metrics import accuracy_score\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Load the data\n",
    "train_df = pd.read_csv('/kaggle/input/spaceship-titanic/train.csv')\n",
    "\n",
    "# Select and preprocess features\n",
    "train_df['Deck'] = train_df['Cabin'].apply(lambda x: x.split('/')[0] if pd.notnull(x) else 'Unknown')\n",
    "train_df['Side'] = train_df['Cabin'].apply(lambda x: x.split('/')[2] if pd.notnull(x) else 'Unknown')\n",
    "\n",
    "# Fill missing values and ensure proper data types\n",
    "train_df['CryoSleep'] = train_df['CryoSleep'].fillna(False).astype(bool)\n",
    "train_df['VIP'] = train_df['VIP'].fillna(False).astype(bool)\n",
    "train_df['Deck'] = train_df['Deck'].fillna('Unknown')\n",
    "train_df['Side'] = train_df['Side'].fillna('Unknown')\n",
    "\n",
    "# Encode categorical variables\n",
    "le = LabelEncoder()\n",
    "train_df['Deck'] = le.fit_transform(train_df['Deck'])\n",
    "train_df['Side'] = le.fit_transform(train_df['Side'])\n",
    "\n",
    "# Select features for the model\n",
    "features = ['Deck', 'Side', 'CryoSleep', 'VIP']\n",
    "X = train_df[features]\n",
    "y = train_df['Transported']\n",
    "\n",
    "# Split the data into training and validation sets\n",
    "X_train, X_val, y_train, y_val = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# Initialize and train the Decision Tree model\n",
    "tree_model = DecisionTreeClassifier(random_state=42)\n",
    "tree_model.fit(X_train, y_train)\n",
    "\n",
    "# Make predictions on the validation set\n",
    "y_pred = tree_model.predict(X_val)\n",
    "\n",
    "# Evaluate the model\n",
    "accuracy = accuracy_score(y_val, y_pred)\n",
    "print(f\"Validation Accuracy: {accuracy:.4f}\")\n",
    "\n",
    "# Feature importance\n",
    "importances = tree_model.feature_importances_\n",
    "feature_importance_df = pd.DataFrame({\n",
    "    'Feature': features,\n",
    "    'Importance': importances\n",
    "}).sort_values(by='Importance', ascending=False)\n",
    "\n",
    "# Plot feature importance\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.barh(feature_importance_df['Feature'], feature_importance_df['Importance'], color='skyblue')\n",
    "plt.xlabel('Importance')\n",
    "plt.title('Feature Importance in Decision Tree Model')\n",
    "plt.gca().invert_yaxis()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "365d8e81",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-20T16:14:54.451918Z",
     "iopub.status.busy": "2024-08-20T16:14:54.451148Z",
     "iopub.status.idle": "2024-08-20T16:14:54.461951Z",
     "shell.execute_reply": "2024-08-20T16:14:54.460821Z"
    },
    "papermill": {
     "duration": 0.041403,
     "end_time": "2024-08-20T16:14:54.464745",
     "exception": false,
     "start_time": "2024-08-20T16:14:54.423342",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     Feature  Importance  Validation Accuracy\n",
      "0       Deck         0.4               0.7234\n",
      "1       Side         0.3               0.7234\n",
      "2  CryoSleep         0.2               0.7234\n",
      "3        VIP         0.1               0.7234\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Assuming you've already trained your model and have the feature importances and accuracy\n",
    "# Create the DataFrame for feature importance\n",
    "feature_importance_df = pd.DataFrame({\n",
    "    'Feature': ['Deck', 'Side', 'CryoSleep', 'VIP'],  # Replace with actual feature names\n",
    "    'Importance': [0.4, 0.3, 0.2, 0.1],  # Replace with actual importance values\n",
    "})\n",
    "\n",
    "# Add the validation accuracy to the DataFrame\n",
    "validation_accuracy = 0.7234  # Replace with your actual validation accuracy\n",
    "feature_importance_df['Validation Accuracy'] = validation_accuracy\n",
    "\n",
    "# Display the table\n",
    "print(feature_importance_df)\n"
   ]
  }
 ],
 "metadata": {
  "kaggle": {
   "accelerator": "none",
   "dataSources": [
    {
     "databundleVersionId": 3220602,
     "sourceId": 34377,
     "sourceType": "competition"
    }
   ],
   "dockerImageVersionId": 30746,
   "isGpuEnabled": false,
   "isInternetEnabled": false,
   "language": "python",
   "sourceType": "notebook"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.10.13"
  },
  "papermill": {
   "default_parameters": {},
   "duration": 18.975686,
   "end_time": "2024-08-20T16:14:55.314588",
   "environment_variables": {},
   "exception": null,
   "input_path": "__notebook__.ipynb",
   "output_path": "__notebook__.ipynb",
   "parameters": {},
   "start_time": "2024-08-20T16:14:36.338902",
   "version": "2.5.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}