titanic-machine-learning-competition-notebook.ipynb

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     "text": [
      "/kaggle/input/titanic/train.csv\n",
      "/kaggle/input/titanic/test.csv\n",
      "/kaggle/input/titanic/gender_submission.csv\n"
     ]
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   "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"
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     "text": [
      "Train DataFrame:\n",
      "   PassengerId  Survived  Pclass  \\\n",
      "0            1         0       3   \n",
      "1            2         1       1   \n",
      "2            3         1       3   \n",
      "3            4         1       1   \n",
      "4            5         0       3   \n",
      "\n",
      "                                                Name     Sex   Age  SibSp  \\\n",
      "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
      "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
      "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
      "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
      "4                           Allen, Mr. William Henry    male  35.0      0   \n",
      "\n",
      "   Parch            Ticket     Fare Cabin Embarked  \n",
      "0      0         A/5 21171   7.2500   NaN        S  \n",
      "1      0          PC 17599  71.2833   C85        C  \n",
      "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
      "3      0            113803  53.1000  C123        S  \n",
      "4      0            373450   8.0500   NaN        S  \n",
      "Index(['PassengerId', 'Survived', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp',\n",
      "       'Parch', 'Ticket', 'Fare', 'Cabin', 'Embarked'],\n",
      "      dtype='object')\n",
      "\n",
      "Test DataFrame:\n",
      "   PassengerId  Pclass                                          Name     Sex  \\\n",
      "0          892       3                              Kelly, Mr. James    male   \n",
      "1          893       3              Wilkes, Mrs. James (Ellen Needs)  female   \n",
      "2          894       2                     Myles, Mr. Thomas Francis    male   \n",
      "3          895       3                              Wirz, Mr. Albert    male   \n",
      "4          896       3  Hirvonen, Mrs. Alexander (Helga E Lindqvist)  female   \n",
      "\n",
      "    Age  SibSp  Parch   Ticket     Fare Cabin Embarked  \n",
      "0  34.5      0      0   330911   7.8292   NaN        Q  \n",
      "1  47.0      1      0   363272   7.0000   NaN        S  \n",
      "2  62.0      0      0   240276   9.6875   NaN        Q  \n",
      "3  27.0      0      0   315154   8.6625   NaN        S  \n",
      "4  22.0      1      1  3101298  12.2875   NaN        S  \n",
      "Index(['PassengerId', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp', 'Parch',\n",
      "       'Ticket', 'Fare', 'Cabin', 'Embarked'],\n",
      "      dtype='object')\n",
      "\n",
      "Gender Submission DataFrame:\n",
      "   PassengerId  Survived\n",
      "0          892         0\n",
      "1          893         1\n",
      "2          894         0\n",
      "3          895         0\n",
      "4          896         1\n",
      "Index(['PassengerId', 'Survived'], dtype='object')\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Load the datasets\n",
    "train_df = pd.read_csv('/kaggle/input/titanic/train.csv')\n",
    "test_df = pd.read_csv('/kaggle/input/titanic/test.csv')\n",
    "gender_submission_df = pd.read_csv('/kaggle/input/titanic/gender_submission.csv')\n",
    "\n",
    "# Display the first few rows and column names of each dataset\n",
    "print(\"Train DataFrame:\")\n",
    "print(train_df.head())\n",
    "print(train_df.columns)\n",
    "\n",
    "print(\"\\nTest DataFrame:\")\n",
    "print(test_df.head())\n",
    "print(test_df.columns)\n",
    "\n",
    "print(\"\\nGender Submission DataFrame:\")\n",
    "print(gender_submission_df.head())\n",
    "print(gender_submission_df.columns)\n"
   ]
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     "text": [
      "Train DataFrame Summary Statistics:\n",
      "        PassengerId    Survived      Pclass                     Name   Sex  \\\n",
      "count    891.000000  891.000000  891.000000                      891   891   \n",
      "unique          NaN         NaN         NaN                      891     2   \n",
      "top             NaN         NaN         NaN  Braund, Mr. Owen Harris  male   \n",
      "freq            NaN         NaN         NaN                        1   577   \n",
      "mean     446.000000    0.383838    2.308642                      NaN   NaN   \n",
      "std      257.353842    0.486592    0.836071                      NaN   NaN   \n",
      "min        1.000000    0.000000    1.000000                      NaN   NaN   \n",
      "25%      223.500000    0.000000    2.000000                      NaN   NaN   \n",
      "50%      446.000000    0.000000    3.000000                      NaN   NaN   \n",
      "75%      668.500000    1.000000    3.000000                      NaN   NaN   \n",
      "max      891.000000    1.000000    3.000000                      NaN   NaN   \n",
      "\n",
      "               Age       SibSp       Parch  Ticket        Fare    Cabin  \\\n",
      "count   714.000000  891.000000  891.000000     891  891.000000      204   \n",
      "unique         NaN         NaN         NaN     681         NaN      147   \n",
      "top            NaN         NaN         NaN  347082         NaN  B96 B98   \n",
      "freq           NaN         NaN         NaN       7         NaN        4   \n",
      "mean     29.699118    0.523008    0.381594     NaN   32.204208      NaN   \n",
      "std      14.526497    1.102743    0.806057     NaN   49.693429      NaN   \n",
      "min       0.420000    0.000000    0.000000     NaN    0.000000      NaN   \n",
      "25%      20.125000    0.000000    0.000000     NaN    7.910400      NaN   \n",
      "50%      28.000000    0.000000    0.000000     NaN   14.454200      NaN   \n",
      "75%      38.000000    1.000000    0.000000     NaN   31.000000      NaN   \n",
      "max      80.000000    8.000000    6.000000     NaN  512.329200      NaN   \n",
      "\n",
      "       Embarked  \n",
      "count       889  \n",
      "unique        3  \n",
      "top           S  \n",
      "freq        644  \n",
      "mean        NaN  \n",
      "std         NaN  \n",
      "min         NaN  \n",
      "25%         NaN  \n",
      "50%         NaN  \n",
      "75%         NaN  \n",
      "max         NaN  \n",
      "\n",
      "Missing Values in Train DataFrame:\n",
      "PassengerId      0\n",
      "Survived         0\n",
      "Pclass           0\n",
      "Name             0\n",
      "Sex              0\n",
      "Age            177\n",
      "SibSp            0\n",
      "Parch            0\n",
      "Ticket           0\n",
      "Fare             0\n",
      "Cabin          687\n",
      "Embarked         2\n",
      "dtype: int64\n",
      "\n",
      "Test DataFrame Summary Statistics:\n",
      "        PassengerId      Pclass              Name   Sex         Age  \\\n",
      "count    418.000000  418.000000               418   418  332.000000   \n",
      "unique          NaN         NaN               418     2         NaN   \n",
      "top             NaN         NaN  Kelly, Mr. James  male         NaN   \n",
      "freq            NaN         NaN                 1   266         NaN   \n",
      "mean    1100.500000    2.265550               NaN   NaN   30.272590   \n",
      "std      120.810458    0.841838               NaN   NaN   14.181209   \n",
      "min      892.000000    1.000000               NaN   NaN    0.170000   \n",
      "25%      996.250000    1.000000               NaN   NaN   21.000000   \n",
      "50%     1100.500000    3.000000               NaN   NaN   27.000000   \n",
      "75%     1204.750000    3.000000               NaN   NaN   39.000000   \n",
      "max     1309.000000    3.000000               NaN   NaN   76.000000   \n",
      "\n",
      "             SibSp       Parch    Ticket        Fare            Cabin Embarked  \n",
      "count   418.000000  418.000000       418  417.000000               91      418  \n",
      "unique         NaN         NaN       363         NaN               76        3  \n",
      "top            NaN         NaN  PC 17608         NaN  B57 B59 B63 B66        S  \n",
      "freq           NaN         NaN         5         NaN                3      270  \n",
      "mean      0.447368    0.392344       NaN   35.627188              NaN      NaN  \n",
      "std       0.896760    0.981429       NaN   55.907576              NaN      NaN  \n",
      "min       0.000000    0.000000       NaN    0.000000              NaN      NaN  \n",
      "25%       0.000000    0.000000       NaN    7.895800              NaN      NaN  \n",
      "50%       0.000000    0.000000       NaN   14.454200              NaN      NaN  \n",
      "75%       1.000000    0.000000       NaN   31.500000              NaN      NaN  \n",
      "max       8.000000    9.000000       NaN  512.329200              NaN      NaN  \n",
      "\n",
      "Missing Values in Test DataFrame:\n",
      "PassengerId      0\n",
      "Pclass           0\n",
      "Name             0\n",
      "Sex              0\n",
      "Age             86\n",
      "SibSp            0\n",
      "Parch            0\n",
      "Ticket           0\n",
      "Fare             1\n",
      "Cabin          327\n",
      "Embarked         0\n",
      "dtype: int64\n",
      "\n",
      "Gender Submission DataFrame Summary Statistics:\n",
      "       PassengerId    Survived\n",
      "count   418.000000  418.000000\n",
      "mean   1100.500000    0.363636\n",
      "std     120.810458    0.481622\n",
      "min     892.000000    0.000000\n",
      "25%     996.250000    0.000000\n",
      "50%    1100.500000    0.000000\n",
      "75%    1204.750000    1.000000\n",
      "max    1309.000000    1.000000\n",
      "\n",
      "Missing Values in Gender Submission DataFrame:\n",
      "PassengerId    0\n",
      "Survived       0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# Summary statistics and missing values for train dataset\n",
    "print(\"Train DataFrame Summary Statistics:\")\n",
    "print(train_df.describe(include='all'))\n",
    "\n",
    "print(\"\\nMissing Values in Train DataFrame:\")\n",
    "print(train_df.isnull().sum())\n",
    "\n",
    "# Summary statistics and missing values for test dataset\n",
    "print(\"\\nTest DataFrame Summary Statistics:\")\n",
    "print(test_df.describe(include='all'))\n",
    "\n",
    "print(\"\\nMissing Values in Test DataFrame:\")\n",
    "print(test_df.isnull().sum())\n",
    "\n",
    "# Summary statistics and missing values for gender_submission dataset\n",
    "print(\"\\nGender Submission DataFrame Summary Statistics:\")\n",
    "print(gender_submission_df.describe(include='all'))\n",
    "\n",
    "print(\"\\nMissing Values in Gender Submission DataFrame:\")\n",
    "print(gender_submission_df.isnull().sum())\n"
   ]
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k5DKpGSgNrtwCFWj16tV67rnnVK9evYvOozt27FihtoJ5eAVvRxfct7Os7qX67rvvuszFW7BggY4cOaIuXbo42+rXr6/Nmzc7vwhC+vMtyfNvGVaS2rp27aq8vDy99tprLu3Tpk2TzWZzGf9ydO3aVenp6S7zVXNzc/Xqq68qICDA+VZsSezZs0cHDx4s1H78+HFt2rRJVatWdd5poX79+jpx4oS2bdvm7HfkyBEtXLiwRGN6eHioT58++uyzz/Tee+8pNzf3klMSCsTFxcnT01MffPCB5s+fr+7du7vc/7Xg6uK5V9wsy9LLL79cohqvRFfDscXGxmrTpk0u3+x37NgxzZ49+7L3PWfOHL399tuKjo5Whw4dJJXsMbnQ77Snp6dsNpvLOxAHDhzQokWLLrtmoLS4cguUk6VLl2rXrl3Kzc1VRkaGVq9erdTUVEVEROjTTz+96E32J06cqHXr1qlbt26KiIhQZmamXn/9ddWuXVt33HGHpD/DUlBQkGbMmKHKlSurUqVKatWqVZFzNYsjODhYd9xxhwYOHKiMjAxNnz5d119/vcvtyh566CEtWLBAnTt31n333ad9+/bp/fffd/mQTUlr69Gjh9q1a6dnnnlGBw4c0C233KIVK1bok08+0YgRIwrtu7QeeeQRvfnmmxowYIDS0tJUt25dLViwQBs2bND06dMvOgf6QrZu3aoHHnhAXbp00Z133qng4GD9+uuvmjVrlg4fPqzp06c7A0R8fLyeeuop3XPPPRo+fLjOnDmjN954QzfeeGOJP3jTt29fvfrqqxo3bpxuvvlm57zhS6lZs6batWunl156SSdPniwUihs2bKj69evriSee0K+//qrAwEB99NFHZTIP1t2uhmMbPXq03n//fXXs2FHDhg1z3gosPDxcx44dK/Y7IgsWLFBAQIBycnKc31C2YcMG3XLLLS63PCvJYxIVFSVJGj58uGJjY+Xp6an4+Hh169ZNL730kjp37qwHHnhAmZmZSkpK0vXXX+/yDzmgQlX4/RkAwxXcCqjgx8fHxwoNDbU6duxovfzyyy63nCpw/q2HVq1aZfXs2dMKCwuzfHx8rLCwMOv++++3fvrpJ5ftPvnkEysyMtLy8vJyufXTXXfdZTVu3LjI+i50K7APPvjASkxMtGrWrGn5+flZ3bp1K/KWVi+++KL1l7/8xbLb7dbtt99uffvtt4X2ebHairol1smTJ62RI0daYWFhlre3t3XDDTdY//73v638/HyXfpKsIUOGFKrpQrcoO19GRoY1cOBAq3r16paPj4918803F3m7suLeCiwjI8OaPHmyddddd1m1atWyvLy8rKpVq1rt27e3FixYUKj/ihUrrJtuusny8fGxGjRoYL3//vsXvO1UUcdZID8/36pTp06Rt1CzrKJvBVbgf//3fy1JVuXKla0//vij0PodO3ZYMTExVkBAgFW9enXr4Ycfdt7y6tz9Xe6twP79738X6ivJGjdu3CX3WeBCtwKrVKlSkf0v59iK+9q70K3Aino9FfV78/3331t33nmnZbfbrdq1a1uTJk2yXnnlFUuSlZ6efuEH45y6C358fX2t2rVrW927d7dmzpxpnT17ttSPSW5urjVs2DCrRo0als1mc3l83nnnHeuGG26w7Ha71bBhQys5ObnYrw+gPNgsixnfAABcqUaMGKE333xTp06dcvtX+wJXA+bcAgBwhTj/q4CPHj2q9957T3fccQfBFigm5twCAHCFiI6OVtu2bdWoUSNlZGTonXfeUVZWlsaOHevu0oCrBuEWAIArRNeuXbVgwQK99dZbstlsat68ud555x21adPG3aUBVw3m3AIAAMAYzLkFAACAMQi3AAAAMAZzbvXn92cfPnxYlStXLvOvNAUAAMDlsyxLJ0+eVFhYmMvXqJ+PcCvp8OHDqlOnjrvLAAAAwCUcOnRItWvXvuB6wq3k/NrNQ4cOKTAw0M3VwGQOh0MrVqxQp06d5O3t7e5yAOCycV5DRcnKylKdOnUu+XXphFvJORUhMDCQcIty5XA45O/vr8DAQP4IADAC5zVUtEtNIeUDZQAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBhe7i4A0p2PPufuElBBfLw8NLzTTeo8YopycvPdXQ4qwPo3x7q7BAC4pnDlFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBhuDbfjx4+XzWZz+WnYsKFz/dmzZzVkyBBVq1ZNAQEBiouLU0ZGhss+Dh48qG7dusnf3181a9bUk08+qdzc3Io+FAAAAFwBvNxdQOPGjbVy5UrnspfX/5U0cuRIff7555o/f76qVKmioUOHqnfv3tqwYYMkKS8vT926dVNoaKg2btyoI0eO6MEHH5S3t7f++c9/VvixAAAAwL3cHm69vLwUGhpaqP3EiRN65513NGfOHLVv316SlJycrEaNGmnz5s1q3bq1VqxYoR07dmjlypUKCQlR06ZN9dxzz+mpp57S+PHj5ePjU9GHAwAAADdye7jds2ePwsLC5Ovrq+joaE2aNEnh4eFKS0uTw+FQTEyMs2/Dhg0VHh6uTZs2qXXr1tq0aZNuvvlmhYSEOPvExsZq8ODB2r59u5o1a1bkmNnZ2crOznYuZ2VlSZIcDoccDkc5HemF+Xgx9fla4ePp4fJfmM8d5xSgIhW8xnmto7wV9zXm1nDbqlUrpaSkqEGDBjpy5IgmTJigO++8Uz/++KPS09Pl4+OjoKAgl21CQkKUnp4uSUpPT3cJtgXrC9ZdyKRJkzRhwoRC7StWrJC/v/9lHlXJDe90U4WPCff6W4dId5eACrJkyRJ3lwBUiNTUVHeXAMOdOXOmWP3cGm67dOni/P8mTZqoVatWioiI0Lx58+Tn51du4yYmJmrUqFHO5aysLNWpU0edOnVSYGBguY17IZ1HTKnwMeEePp4e+luHSM1YtUM5efnuLgcVYNn00e4uAShXDodDqamp6tixo7y9vd1dDgxW8E77pbh9WsK5goKCdOONN2rv3r3q2LGjcnJydPz4cZertxkZGc45uqGhofr6669d9lFwN4Wi5vEWsNvtstvthdq9vb3d8ouZk0vIudbk5OXzvF8j+GOPa4W7/obi2lHc19cVNfHv1KlT2rdvn2rVqqWoqCh5e3tr1apVzvW7d+/WwYMHFR0dLUmKjo7WDz/8oMzMTGef1NRUBQYGKjKSt30BAACuNW69cvvEE0+oR48eioiI0OHDhzVu3Dh5enrq/vvvV5UqVTRo0CCNGjVKwcHBCgwM1LBhwxQdHa3WrVtLkjp16qTIyEj169dPU6ZMUXp6usaMGaMhQ4YUeWUWAAAAZnNruP3ll190//336+jRo6pRo4buuOMObd68WTVq1JAkTZs2TR4eHoqLi1N2drZiY2P1+uuvO7f39PTU4sWLNXjwYEVHR6tSpUrq37+/Jk6c6K5DAgAAgBu5Ndx++OGHF13v6+urpKQkJSUlXbBPREQEn0YGAACApCtszi0AAABwOQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGOOKCbeTJ0+WzWbTiBEjnG1nz57VkCFDVK1aNQUEBCguLk4ZGRku2x08eFDdunWTv7+/atasqSeffFK5ubkVXD0AAACuBFdEuP3mm2/05ptvqkmTJi7tI0eO1Geffab58+friy++0OHDh9W7d2/n+ry8PHXr1k05OTnauHGjZs2apZSUFD377LMVfQgAAAC4Arg93J46dUoJCQn63//9X1WtWtXZfuLECb3zzjt66aWX1L59e0VFRSk5OVkbN27U5s2bJUkrVqzQjh079P7776tp06bq0qWLnnvuOSUlJSknJ8ddhwQAAAA38XJ3AUOGDFG3bt0UExOj559/3tmelpYmh8OhmJgYZ1vDhg0VHh6uTZs2qXXr1tq0aZNuvvlmhYSEOPvExsZq8ODB2r59u5o1a1bkmNnZ2crOznYuZ2VlSZIcDoccDkdZH+Il+Xi5/d8YqCA+nh4u/4X53HFOASpSwWuc1zrKW3FfY24Ntx9++KG+++47ffPNN4XWpaeny8fHR0FBQS7tISEhSk9Pd/Y5N9gWrC9YdyGTJk3ShAkTCrWvWLFC/v7+JT2Myza8000VPibc628dIt1dAirIkiVL3F0CUCFSU1PdXQIMd+bMmWL1c1u4PXTokB577DGlpqbK19e3QsdOTEzUqFGjnMtZWVmqU6eOOnXqpMDAwAqtRZI6j5hS4WPCPXw8PfS3DpGasWqHcvLy3V0OKsCy6aPdXQJQrhwOh1JTU9WxY0d5e3u7uxwYrOCd9ktxW7hNS0tTZmammjdv7mzLy8vTunXr9Nprr2n58uXKycnR8ePHXa7eZmRkKDQ0VJIUGhqqr7/+2mW/BXdTKOhTFLvdLrvdXqjd29vbLb+YObmEnGtNTl4+z/s1gj/2uFa4628orh3FfX25beJfhw4d9MMPP2jLli3OnxYtWighIcH5/97e3lq1apVzm927d+vgwYOKjo6WJEVHR+uHH35QZmams09qaqoCAwMVGcnbvgAAANcat125rVy5sm66yXWuaaVKlVStWjVn+6BBgzRq1CgFBwcrMDBQw4YNU3R0tFq3bi1J6tSpkyIjI9WvXz9NmTJF6enpGjNmjIYMGVLklVkAAACYze13S7iYadOmycPDQ3FxccrOzlZsbKxef/1153pPT08tXrxYgwcPVnR0tCpVqqT+/ftr4sSJbqwaAAAA7nJFhdu1a9e6LPv6+iopKUlJSUkX3CYiIoJPIwMAAEDSFfAlDgAAAEBZIdwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwhpe7CwAAmKfTh4nuLgEVxFueesSvpXp9NEEO5bm7HFSAFfGT3F3CRXHlFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMEapwu11112no0ePFmo/fvy4rrvuussuCgAAACiNUoXbAwcOKC8vr1B7dna2fv3118suCgAAACgNr5J0/vTTT53/v3z5clWpUsW5nJeXp1WrVqlu3bplVhwAAABQEiUKt7169ZIk2Ww29e/f32Wdt7e36tatqxdffLHMigMAAABKokTTEvLz85Wfn6/w8HBlZmY6l/Pz85Wdna3du3ere/fuxd7fG2+8oSZNmigwMFCBgYGKjo7W0qVLnevPnj2rIUOGqFq1agoICFBcXJwyMjJc9nHw4EF169ZN/v7+qlmzpp588knl5uaW5LAAAABgiFLNud2/f7+qV69+2YPXrl1bkydPVlpamr799lu1b99ePXv21Pbt2yVJI0eO1Geffab58+friy++0OHDh9W7d2/n9nl5eerWrZtycnK0ceNGzZo1SykpKXr22WcvuzYAAABcfUo0LeFcq1at0qpVq5xXcM81c+bMYu2jR48eLssvvPCC3njjDW3evFm1a9fWO++8ozlz5qh9+/aSpOTkZDVq1EibN29W69attWLFCu3YsUMrV65USEiImjZtqueee05PPfWUxo8fLx8fn9IeHgAAAK5CpQq3EyZM0MSJE9WiRQvVqlVLNpvtsgvJy8vT/Pnzdfr0aUVHRystLU0Oh0MxMTHOPg0bNlR4eLg2bdqk1q1ba9OmTbr55psVEhLi7BMbG6vBgwdr+/btatasWZFjZWdnKzs727mclZUlSXI4HHI4HJd9LCXl48Xthq8VPp4eLv+F+dxxTrkSeMvT3SWggnj//zeBvbl1/jXDXee14o5bqnA7Y8YMpaSkqF+/fqXZ3MUPP/yg6OhonT17VgEBAVq4cKEiIyO1ZcsW+fj4KCgoyKV/SEiI0tPTJUnp6ekuwbZgfcG6C5k0aZImTJhQqH3FihXy9/e/zCMqueGdbqrwMeFef+sQ6e4SUEGWLFni7hLc4hG/lu4uARVsoF+Uu0tABXHXee3MmTPF6leqcJuTk6PbbrutNJsW0qBBA23ZskUnTpzQggUL1L9/f33xxRdlsu8LSUxM1KhRo5zLWVlZqlOnjjp16qTAwMByHbsonUdMqfAx4R4+nh76W4dIzVi1Qzl5+ZfeAFe9ZdNHu7sEt+j1UeELCDCTtzw00C9KyX+kySHOa9eCRXHj3DJuwTvtl1KqcPvQQw9pzpw5Gjt2bGk2d+Hj46Prr79ekhQVFaVvvvlGL7/8svr27aucnBwdP37c5eptRkaGQkNDJUmhoaH6+uuvXfZXcDeFgj5Fsdvtstvthdq9vb3l7e19uYdUYjm5nAyuNTl5+Tzv1wh3nFOuBA4V/qIfmM2hfJ73a4S7zmvFHbdU4fbs2bN66623tHLlSjVp0qTQYC+99FJpditJztuKRUVFydvbW6tWrVJcXJwkaffu3Tp48KCio6MlSdHR0XrhhReUmZmpmjVrSpJSU1MVGBioyEje9gUAALjWlCrcbtu2TU2bNpUk/fjjjy7rSvLhssTERHXp0kXh4eE6efKk5syZo7Vr1zq//WzQoEEaNWqUgoODFRgYqGHDhik6OlqtW7eWJHXq1EmRkZHq16+fpkyZovT0dI0ZM0ZDhgwp8sosAAAAzFaqcLtmzZoyGTwzM1MPPvigjhw5oipVqqhJkyZavny5OnbsKEmaNm2aPDw8FBcXp+zsbMXGxur11193bu/p6anFixdr8ODBio6OVqVKldS/f39NnDixTOoDAADA1aXU97ktC++8885F1/v6+iopKUlJSUkX7BMREXHNfhoZAAAArkoVbtu1a3fR6QerV68udUEAAABAaZUq3BbMty3gcDi0ZcsW/fjjj+rfv39Z1AUAAACUWKnC7bRp04psHz9+vE6dOnVZBQEAAAClVabflffXv/5VM2fOLMtdAgAAAMVWpuF206ZN8vX1LctdAgAAAMVWqmkJvXv3dlm2LEtHjhzRt99+WybfWgYAAACURqnCbZUqVVyWPTw81KBBA02cOFGdOnUqk8IAAACAkipVuE1OTi7rOgAAAIDLdllf4pCWlqadO3dKkho3bqxmzZqVSVEAAABAaZQq3GZmZio+Pl5r165VUFCQJOn48eNq166dPvzwQ9WoUaMsawQAAACKpVR3Sxg2bJhOnjyp7du369ixYzp27Jh+/PFHZWVlafjw4WVdIwAAAFAspbpyu2zZMq1cuVKNGjVytkVGRiopKYkPlAEAAMBtSnXlNj8/X97e3oXavb29lZ+ff9lFAQAAAKVRqnDbvn17PfbYYzp8+LCz7ddff9XIkSPVoUOHMisOAAAAKIlShdvXXntNWVlZqlu3rurXr6/69eurXr16ysrK0quvvlrWNQIAAADFUqo5t3Xq1NF3332nlStXateuXZKkRo0aKSYmpkyLAwAAAEqiRFduV69ercjISGVlZclms6ljx44aNmyYhg0bppYtW6px48Zav359edUKAAAAXFSJwu306dP18MMPKzAwsNC6KlWq6NFHH9VLL71UZsUBAAAAJVGicLt161Z17tz5gus7deqktLS0yy4KAAAAKI0ShduMjIwibwFWwMvLS7/99ttlFwUAAACURonC7V/+8hf9+OOPF1y/bds21apV67KLAgAAAEqjROG2a9euGjt2rM6ePVto3R9//KFx48ape/fuZVYcAAAAUBIluhXYmDFj9PHHH+vGG2/U0KFD1aBBA0nSrl27lJSUpLy8PD3zzDPlUigAAABwKSUKtyEhIdq4caMGDx6sxMREWZYlSbLZbIqNjVVSUpJCQkLKpVAAAADgUkr8JQ4RERFasmSJfv/9d+3du1eWZemGG25Q1apVy6M+AAAAoNhK9Q1lklS1alW1bNmyLGsBAAAALkuJPlAGAAAAXMkItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBhuDbeTJk1Sy5YtVblyZdWsWVO9evXS7t27XfqcPXtWQ4YMUbVq1RQQEKC4uDhlZGS49Dl48KC6desmf39/1axZU08++aRyc3Mr8lAAAABwBXBruP3iiy80ZMgQbd68WampqXI4HOrUqZNOnz7t7DNy5Eh99tlnmj9/vr744gsdPnxYvXv3dq7Py8tTt27dlJOTo40bN2rWrFlKSUnRs88+645DAgAAgBt5uXPwZcuWuSynpKSoZs2aSktLU5s2bXTixAm98847mjNnjtq3by9JSk5OVqNGjbR582a1bt1aK1as0I4dO7Ry5UqFhISoadOmeu655/TUU09p/Pjx8vHxKTRudna2srOznctZWVmSJIfDIYfDUY5HXDQfL2aHXCt8PD1c/gvzueOcciXwlqe7S0AF8f7/18m8mel4zXDXea2447o13J7vxIkTkqTg4GBJUlpamhwOh2JiYpx9GjZsqPDwcG3atEmtW7fWpk2bdPPNNyskJMTZJzY2VoMHD9b27dvVrFmzQuNMmjRJEyZMKNS+YsUK+fv7l/VhXdLwTjdV+Jhwr791iHR3CaggS5YscXcJbvGIX0t3l4AKNtAvyt0loIK467x25syZYvW7YsJtfn6+RowYodtvv1033fRn2EtPT5ePj4+CgoJc+oaEhCg9Pd3Z59xgW7C+YF1REhMTNWrUKOdyVlaW6tSpo06dOikwMLCsDqnYOo+YUuFjwj18PD30tw6RmrFqh3Ly8t1dDirAsumj3V2CW/T6qPAFBJjJWx4a6Bel5D/S5BDntWvBorhxbhm34J32S7liwu2QIUP0448/6ssvvyz3sex2u+x2e6F2b29veXt7l/v458vJ5WRwrcnJy+d5v0a445xyJXAoz90loII5lM/zfo1w13mtuONeERNkhg4dqsWLF2vNmjWqXbu2sz00NFQ5OTk6fvy4S/+MjAyFhoY6+5x/94SC5YI+AAAAuDa4NdxalqWhQ4dq4cKFWr16terVq+eyPioqSt7e3lq1apWzbffu3Tp48KCio6MlSdHR0frhhx+UmZnp7JOamqrAwEBFRjKvEQAA4Fri1mkJQ4YM0Zw5c/TJJ5+ocuXKzjmyVapUkZ+fn6pUqaJBgwZp1KhRCg4OVmBgoIYNG6bo6Gi1bt1aktSpUydFRkaqX79+mjJlitLT0zVmzBgNGTKkyKkHAAAAMJdbw+0bb7whSWrbtq1Le3JysgYMGCBJmjZtmjw8PBQXF6fs7GzFxsbq9ddfd/b19PTU4sWLNXjwYEVHR6tSpUrq37+/Jk6cWFGHAQAAgCuEW8OtZVmX7OPr66ukpCQlJSVdsE9ERMQ1e7sdAAAA/J8r4gNlAAAAQFkg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMt4bbdevWqUePHgoLC5PNZtOiRYtc1luWpWeffVa1atWSn5+fYmJitGfPHpc+x44dU0JCggIDAxUUFKRBgwbp1KlTFXgUAAAAuFK4NdyePn1at9xyi5KSkopcP2XKFL3yyiuaMWOGvvrqK1WqVEmxsbE6e/ass09CQoK2b9+u1NRULV68WOvWrdMjjzxSUYcAAACAK4iXOwfv0qWLunTpUuQ6y7I0ffp0jRkzRj179pQkvfvuuwoJCdGiRYsUHx+vnTt3atmyZfrmm2/UokULSdKrr76qrl27aurUqQoLC6uwYwEAAID7uTXcXsz+/fuVnp6umJgYZ1uVKlXUqlUrbdq0SfHx8dq0aZOCgoKcwVaSYmJi5OHhoa+++kr33HNPkfvOzs5Wdna2czkrK0uS5HA45HA4yumILszHi6nP1wofTw+X/8J87jinXAm85enuElBBvP//m8DefIznmuGu81pxx71iw216erokKSQkxKU9JCTEuS49PV01a9Z0We/l5aXg4GBnn6JMmjRJEyZMKNS+YsUK+fv7X27pJTa8000VPibc628dIt1dAirIkiVL3F2CWzzi19LdJaCCDfSLcncJqCDuOq+dOXOmWP2u2HBbnhITEzVq1CjnclZWlurUqaNOnTopMDCwwuvpPGJKhY8J9/Dx9NDfOkRqxqodysnLd3c5qADLpo92dwlu0eujwhcQYCZveWigX5SS/0iTQ5zXrgWL4sa5ZdyCd9ov5YoNt6GhoZKkjIwM1apVy9mekZGhpk2bOvtkZma6bJebm6tjx445ty+K3W6X3W4v1O7t7S1vb+8yqL5kcnI5GVxrcvLyed6vEe44p1wJHMpzdwmoYA7l87xfI9x1XivuuFfsBJl69eopNDRUq1atcrZlZWXpq6++UnR0tCQpOjpax48fV1pamrPP6tWrlZ+fr1atWlV4zQAAAHAvt165PXXqlPbu3etc3r9/v7Zs2aLg4GCFh4drxIgRev7553XDDTeoXr16Gjt2rMLCwtSrVy9JUqNGjdS5c2c9/PDDmjFjhhwOh4YOHar4+HjulAAAAHANcmu4/fbbb9WuXTvncsE82P79+yslJUWjR4/W6dOn9cgjj+j48eO64447tGzZMvn6+jq3mT17toYOHaoOHTrIw8NDcXFxeuWVVyr8WAAAAOB+bg23bdu2lWVZF1xvs9k0ceJETZw48YJ9goODNWfOnPIoDwAAAFeZK3bOLQAAAFBShFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMYg3AIAAMAYhFsAAAAYg3ALAAAAYxBuAQAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BAABgDMItAAAAjEG4BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMYUy4TUpKUt26deXr66tWrVrp66+/dndJAAAAqGBGhNu5c+dq1KhRGjdunL777jvdcsstio2NVWZmprtLAwAAQAUyIty+9NJLevjhhzVw4EBFRkZqxowZ8vf318yZM91dGgAAACqQl7sLuFw5OTlKS0tTYmKis83Dw0MxMTHatGlTkdtkZ2crOzvbuXzixAlJ0rFjx+RwOMq34CJ45OdU+JhwD488D505c0YeeTnyyM93dzmoAEePHnV3Ce5xJtfdFaDC5OuMdUb6wyGJ89q1wF3ntZMnT0qSLMu6aL+rPtz+97//VV5enkJCQlzaQ0JCtGvXriK3mTRpkiZMmFCovV69euVSI3CulW+6uwJUpOpvP+/uEoByt8TdBaBCVR801a3jnzx5UlWqVLng+qs+3JZGYmKiRo0a5VzOz8/XsWPHVK1aNdlsNjdWBtNlZWWpTp06OnTokAIDA91dDgBcNs5rqCiWZenkyZMKCwu7aL+rPtxWr15dnp6eysjIcGnPyMhQaGhokdvY7XbZ7XaXtqCgoPIqESgkMDCQPwIAjMJ5DRXhYldsC1z1Hyjz8fFRVFSUVq1a5WzLz8/XqlWrFB0d7cbKAAAAUNGu+iu3kjRq1Cj1799fLVq00K233qrp06fr9OnTGjhwoLtLAwAAQAUyItz27dtXv/32m5599lmlp6eradOmWrZsWaEPmQHuZrfbNW7cuELTYgDgasV5DVcam3Wp+ykAAAAAV4mrfs4tAAAAUIBwCwAAAGMQbgEAAGAMwi1wlRk/fryaNm1a7uPUrVtX06dPL/dxAJhh7dq1stlsOn78eLmOM2DAAPXq1atcx8DVjXCLq96AAQNks9k0efJkl/ZFixaV+Bvnihvotm7dqrvvvls1a9aUr6+v6tatq759+yozM7NE45XGE0884XJfZwA412+//abBgwcrPDxcdrtdoaGhio2N1YYNG8p13Ntuu01Hjhwp1k32gfJEuIURfH199a9//Uu///57uY/122+/qUOHDgoODtby5cu1c+dOJScnKywsTKdPny71fnNycorVLyAgQNWqVSv1OADMFhcXp++//16zZs3STz/9pE8//VRt27bV0aNHS7U/y7KUm5t7yX4+Pj4KDQ3la+zhdoRbGCEmJkahoaGaNGnSRft99NFHaty4sex2u+rWrasXX3zRua5t27b6+eefNXLkSNlstgueoDds2KATJ07o7bffVrNmzVSvXj21a9dO06ZNU7169SRJKSkphb7S+fwryQXTC95++23Vq1dPvr6+euuttxQWFqb8/HyXbXv27Kn/+Z//cdlOklasWCFfX99CbwM+9thjat++vXP5yy+/1J133ik/Pz/VqVNHw4cPdwnimZmZ6tGjh/z8/FSvXj3Nnj37oo8jgCvT8ePHtX79ev3rX/9Su3btFBERoVtvvVWJiYm6++67deDAAdlsNm3ZssVlG5vNprVr10r6v+kFS5cuVVRUlOx2u2bOnCmbzaZdu3a5jDdt2jTVr1/fZbvjx48rKytLfn5+Wrp0qUv/hQsXqnLlyjpz5owk6dChQ7rvvvsUFBSk4OBg9ezZUwcOHHD2z8vL06hRoxQUFKRq1app9OjR4g6muBTCLYzg6empf/7zn3r11Vf1yy+/FNknLS1N9913n+Lj4/XDDz9o/PjxGjt2rFJSUiRJH3/8sWrXrq2JEyfqyJEjOnLkSJH7CQ0NVW5urhYuXHjZJ9m9e/fqo48+0scff6wtW7bo3nvv1dGjR7VmzRpnn2PHjmnZsmVKSEgotH2HDh0UFBSkjz76yNmWl5enuXPnOvvv27dPnTt3VlxcnLZt26a5c+fqyy+/1NChQ53bDBgwQIcOHdKaNWu0YMECvf766xUyxQJA2QoICFBAQIAWLVqk7Ozsy9rXP/7xD02ePFk7d+5Unz591KJFi0L/8J09e7YeeOCBQtsGBgaqe/fumjNnTqH+vXr1kr+/vxwOh2JjY1W5cmWtX79eGzZsUEBAgDp37ux8J+vFF19USkqKZs6cqS+//FLHjh3TwoULL+u4cA2wgKtc//79rZ49e1qWZVmtW7e2/ud//seyLMtauHChde5L/IEHHrA6duzosu2TTz5pRUZGOpcjIiKsadOmXXLMp59+2vLy8rKCg4Otzp07W1OmTLHS09Od65OTk60qVaq4bHN+PePGjbO8vb2tzMxMl349e/Z0HoNlWdabb75phYWFWXl5ec7tbrnlFuf6xx57zGrfvr1zefny5Zbdbrd+//13y7Isa9CgQdYjjzziMsb69estDw8P648//rB2795tSbK+/vpr5/qdO3dakor1WAC4sixYsMCqWrWq5evra912221WYmKitXXrVsuyLGv//v2WJOv777939v/9998tSdaaNWssy7KsNWvWWJKsRYsWuex32rRpVv369Z3LBeeOnTt3umxXcO5ZuHChFRAQYJ0+fdqyLMs6ceKE5evray1dutSyLMt67733rAYNGlj5+fnOfWZnZ1t+fn7W8uXLLcuyrFq1allTpkxxrnc4HFbt2rWd53ygKFy5hVH+9a9/adasWdq5c2ehdTt37tTtt9/u0nb77bdrz549ysvLK9E4L7zwgtLT0zVjxgw1btxYM2bMUMOGDfXDDz+UaD8RERGqUaOGS1tCQoI++ugj51WX2bNnKz4+Xh4eRf+6JiQkaO3atTp8+LCzf7du3ZzTIrZu3aqUlBTnFZ2AgADFxsYqPz9f+/fv186dO+Xl5aWoqCjnPhs2bFhoWgWAq0NcXJwOHz6sTz/9VJ07d9batWvVvHlz57tUxdWiRQuX5fj4eB04cECbN2+W9Oe5pnnz5mrYsGGR23ft2lXe3t769NNPJf05LSwwMFAxMTGS/jw37d27V5UrV3aem4KDg3X27Fnt27dPJ06c0JEjR9SqVSvnPr28vArVBZyPcAujtGnTRrGxsUpMTCz3sapVq6Z7771XU6dO1c6dOxUWFqapU6dKkjw8PApNWXA4HIX2UalSpUJtPXr0kGVZ+vzzz3Xo0CGtX7++yCkJBVq2bKn69evrww8/1B9//KGFCxe69D916pQeffRRbdmyxfmzdetW7dmzxzlXDoBZfH191bFjR40dO1YbN27UgAEDNG7cOOc/ks89PxV1bpIKn59CQ0PVvn1751SDOXPmXPTc5OPjoz59+rj079u3r7y8vCT9eW6KiopyOTdt2bJFP/30U5FTHYDi8nJ3AUBZmzx5spo2baoGDRq4tDdq1KjQrXA2bNigG2+8UZ6enpL+PBmX9CpuwXb169d3fkirRo0aOnnypE6fPu38A3HuBzguxtfXV71799bs2bO1d+9eNWjQQM2bN7/oNgkJCZo9e7Zq164tDw8PdevWzbmuefPm2rFjh66//voit23YsKFyc3OVlpamli1bSpJ2795d7veqBFBxIiMjtWjRIuc7RUeOHFGzZs0kFf/cJP15rhk9erTuv/9+/ec//1F8fPwl+3fs2FHbt2/X6tWr9fzzzzvXNW/eXHPnzlXNmjUVGBhY5Pa1atXSV199pTZt2kiS81x1qXMirm1cuYVxbr75ZiUkJOiVV15xaX/88ce1atUqPffcc/rpp580a9Ysvfbaa3riiSecferWrat169bp119/1X//+98i97948WL99a9/1eLFi/XTTz9p9+7dmjp1qpYsWaKePXtKklq1aiV/f389/fTT2rdvn+bMmVOitwQTEhL0+eefa+bMmRe9MnJu/++++04vvPCC+vTpI7vd7lz31FNPaePGjRo6dKi2bNmiPXv26JNPPnF+oKxBgwbq3LmzHn30UX311VdKS0vTQw89JD8/v2LXC+DKcPToUbVv317vv/++tm3bpv3792v+/PmaMmWKevbsKT8/P7Vu3dr5QbEvvvhCY8aMKfb+e/furZMnT2rw4MFq166dwsLCLtq/TZs2Cg0NVUJCgurVq+cyxSAhIUHVq1dXz549tX79eu3fv19r167V8OHDnR8MfuyxxzR58mQtWrRIu3bt0t///nf+4Y1Lc/OcX+CynfuBsgL79++3fHx8rPNf4gsWLLAiIyMtb29vKzw83Pr3v//tsn7Tpk1WkyZNLLvdXmjbAvv27bMefvhh68Ybb7T8/PysoKAgq2XLllZycrJLv4ULF1rXX3+95efnZ3Xv3t166623Cn2g7NwPhp0rLy/PqlWrliXJ2rdvn8u6C2136623WpKs1atXF1r39ddfWx07drQCAgKsSpUqWU2aNLFeeOEF5/ojR45Y3bp1s+x2uxUeHm69++67xf5wHYArx9mzZ61//OMfVvPmza0qVapY/v7+VoMGDawxY8ZYZ86csSzLsnbs2GFFR0dbfn5+VtOmTa0VK1YU+YGygg+Gne++++6zJFkzZ850ab/QdqNHj7YkWc8++2yhfR05csR68MEHrerVq1t2u9267rrrrIcfftg6ceKEZVl/foDsscceswIDA62goCBr1KhR1oMPPsgHynBRNsvihnEAAAAwA9MSAAAAYAzCLQAAAIxBuAUAAIAxCLcAAAAwBuEWAAAAxiDcAgAAwBiEWwAAABiDcAsAAABjEG4BwGBr166VzWYr968sHTBggHr16lWuYwBAcRBuAaAC/Pbbbxo8eLDCw8Nlt9sVGhqq2NhYbdiwoVzHve2223TkyBFVqVKlXMcBgCuFl7sLAIBrQVxcnHJycjRr1ixdd911ysjI0KpVq3T06NFS7c+yLOXl5cnL6+KncR8fH4WGhpZqDAC4GnHlFgDK2fHjx7V+/Xr961//Urt27RQREaFbb71ViYmJuvvuu3XgwAHZbDZt2bLFZRubzaa1a9dK+r/pBUuXLlVUVJTsdrtmzpwpm82mXbt2uYw3bdo01a9f32W748ePKysrS35+flq6dKlL/4ULF6py5co6c+aMJOnQoUO67777FBQUpODgYPXs2VMHDhxw9s/Ly9OoUaMUFBSkatWqafTo0bIsq+wfOAAoBcItAJSzgIAABQQEaNGiRcrOzr6sff3jH//Q5MmTtXPnTvXp00ctWrTQ7NmzXfrMnj1bDzzwQKFtAwMD1b17d82ZM6dQ/169esnf318Oh0OxsbGqXLmy1q9frw0bNiggIECdO3dWTk6OJOnFF19USkqKZs6cqS+//FLHjh3TwoULL+u4AKCsEG4BoJx5eXkpJSVFs2bNUlBQkG6//XY9/fTT2rZtW4n3NXHiRHXs2FH169dXcHCwEhIS9MEHHzjX//TTT0pLS1NCQkKR2yckJGjRokXOq7RZWVn6/PPPnf3nzp2r/Px8vf3227r55pvVqFEjJScn6+DBg86ryNOnT1diYqJ69+6tRo0aacaMGczpBXDFINwCQAWIi4vT4cOH9emnn6pz585au3atmjdvrpSUlBLtp0WLFi7L8fHxOnDggDZv3izpz6uwzZs3V8OGDYvcvmvXrvL29tann34qSfroo48UGBiomJgYSdLWrVu1d+9eVa5c2XnFOTg4WGfPntW+fft04sQJHTlyRK1atXLu08vLq1BdAOAuhFsAqCC+vr7q2LGjxo4dq40bN2rAgAEaN26cPDz+PBWfO2/V4XAUuY9KlSq5LIeGhqp9+/bOqQZz5sy54FVb6c8PmPXp08elf9++fZ0fTDt16pSioqK0ZcsWl5+ffvqpyKkOAHClIdwCgJtERkbq9OnTqlGjhiTpyJEjznXnfrjsUhISEjR37lxt2rRJ//nPfxQfH3/J/suWLdP27du1evVqlzDcvHlz7dmzRzVr1tT111/v8lOlShVVqVJFtWrV0ldffeXcJjc3V2lpacWuFwDKE+EWAMrZ0aNH1b59e73//vvatm2b9u/fr/nz52vKlCnq2bOn/Pz81Lp1a+cHxb744guNGTOm2Pvv3bu3Tp48qcGDB6tdu3YKCwu7aP82bdooNDRUCQkJqlevnssUg4SEBFWvXl09e/bU+vXrtX//fq1du1bDhw/XL7/8Ikl67LHHNHnyZC1atEi7du3S3//+93L/kggAKC7CLQCUs4CAALVq1UrTpk1TmzZtdNNNN2ns2LF6+OGH9dprr0mSZs6cqdzcXEVFRWnEiBF6/vnni73/ypUrq0ePHtq6detFpyQUsNlsuv/++4vs7+/vr3Xr1ik8PNz5gbFBgwbp7NmzCgwMlCQ9/vjj6tevn/r376/o6GhVrlxZ99xzTwkeEQAoPzaLmxMCAADAEFy5BQAAgDEItwAAADAG4RYAAADGINwCAADAGIRbAAAAGINwCwAAAGMQbgEAAGAMwi0AAACMQbgFAACAMQi3AAAAMAbhFgAAAMb4f7parUOygeJhAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Plot the distribution of the target variable 'Survived'\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.countplot(data=train_df, x='Survived', palette='viridis')\n",
    "plt.title('Distribution of Survival in Training Data')\n",
    "plt.xlabel('Survived')\n",
    "plt.ylabel('Count')\n",
    "plt.xticks([0, 1], ['Not Survived', 'Survived'])\n",
    "plt.grid(True)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0b494f20",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-26T06:10:09.550522Z",
     "iopub.status.busy": "2024-07-26T06:10:09.550126Z",
     "iopub.status.idle": "2024-07-26T06:10:10.055574Z",
     "shell.execute_reply": "2024-07-26T06:10:10.054182Z"
    },
    "papermill": {
     "duration": 0.516662,
     "end_time": "2024-07-26T06:10:10.058509",
     "exception": false,
     "start_time": "2024-07-26T06:10:09.541847",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  data_subset = grouped_data.get_group(pd_key)\n",
      "/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  data_subset = grouped_data.get_group(pd_key)\n",
      "/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  data_subset = grouped_data.get_group(pd_key)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the distribution of Age by Survival Status\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.histplot(data=train_df, x='Age', hue='Survived', multiple='stack', palette='coolwarm', bins=30)\n",
    "plt.title('Distribution of Age by Survival Status')\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Count')\n",
    "plt.legend(title='Survived', labels=['Not Survived', 'Survived'])\n",
    "plt.grid(True)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ede14320",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-26T06:10:10.075564Z",
     "iopub.status.busy": "2024-07-26T06:10:10.075150Z",
     "iopub.status.idle": "2024-07-26T06:10:10.510212Z",
     "shell.execute_reply": "2024-07-26T06:10:10.508794Z"
    },
    "papermill": {
     "duration": 0.447108,
     "end_time": "2024-07-26T06:10:10.513355",
     "exception": false,
     "start_time": "2024-07-26T06:10:10.066247",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the correlation matrix for numerical features\n",
    "correlation_matrix = train_df[['Age', 'SibSp', 'Parch', 'Fare', 'Survived']].corr()\n",
    "\n",
    "# Plot the heatmap\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt='.2f', linewidths=.5)\n",
    "plt.title('Correlation Heatmap of Numerical Features')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1828b2db",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-26T06:10:10.532582Z",
     "iopub.status.busy": "2024-07-26T06:10:10.532167Z",
     "iopub.status.idle": "2024-07-26T06:10:10.828402Z",
     "shell.execute_reply": "2024-07-26T06:10:10.827022Z"
    },
    "papermill": {
     "duration": 0.308961,
     "end_time": "2024-07-26T06:10:10.831202",
     "exception": false,
     "start_time": "2024-07-26T06:10:10.522241",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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6dUpHjx7VLbfc4jVu2LBhGjdunI4ePaoFCxaod+/euuyyyy55vW3bttW8efN09OhRSfIs64/bf7FnOtSqVUu33nqrFi9erJdfflkLFy5Up06dVK9evQvOO2jQIE2ZMkUfffSR6tatq5ycHA0ePNhrTFn/3Uqr6DKRotdHOvfvdWlrOt/74rLLLis23ul0eq2/SEREhEaOHKmRI0fq1KlT6ty5syZPnkxoB4CLwOnxAIALcrlcSklJkb+/v+f091tuuUWFhYV64403vMbOnDlTNptNvXr18sw7YsQI1atXT6+++qrmzp2rY8eO6eGHH66wei+//HK1atVK8+bN8woX//3vf5WSkuIVMovCe2mCVNu2bRUVFaXZs2crPz/f0758+XKlp6erd+/e5bYNZ/Px8fG67lqSXn/99VI/Li8xMVGhoaF67rnnSnwc2y+//FKq5fzzn//0mv+tt95SQUGB59+6yJAhQ2Sz2fTggw/qhx9+8HrqwLnk5eV5TlP/o6L7IxRdllD0JcS6des8YwoLC/XPf/6zVNtxtkGDBunIkSN6++23tWPHjgueGl+kRYsWatmypRYuXKiFCxfq8ssvV+fOnb3GlPXf7Y9Wr15dbHmSPPcUOPuyjVq1apX4O13ams73vrjqqqu8Xnvp99+NPy7j+PHjXtPBwcG6+uqrvd47AIAL40g7AKCY5cuXe46YZ2ZmasGCBdq/f78ef/xxhYaGSvr91OKuXbvqySef1KFDh3T99dcrJSVFn3zyiR566CFPsHr22We1fft2rVq1SiEhIbruuus0adIkTZw4UQMGDCh2lLa8vPjii+rVq5fi4+M1atQozyPfwsLCvJ4xHRcXJ0l68sknNXjwYPn5+em2227zhJaz+fn56YUXXtDIkSN18803a8iQIZ5HvjVu3LjCvoi49dZbNX/+fIWFhSk2NlYbN27UF198cd5H3p0tNDRUb731loYOHao2bdpo8ODBqlOnjn766SctW7ZMN954Y7EvX0ridDr1pz/9SQMHDtTevXv15ptv6qabbtLtt9/uNa5OnTrq2bOnFi9erPDw8FJ9mZGXl6cbbrhBHTt2VM+ePdWgQQNlZ2crOTlZ69evV9++fdW6dWtJ0jXXXKOOHTtqwoQJOnHihCIiIvTBBx94zga5GLfccotCQkL0t7/9TT4+Purfv3+p5x00aJAmTZqkgIAAjRo1Sna797GQsv67/dH999+vvLw83XHHHYqJiZHT6dSGDRu0cOFCNW7c2Otme3Fxcfriiy/08ssvq169emrSpIk6dOhQ6ppatWolHx8fvfDCCzp58qQcDocSEhIUFRWlu+++W//v//0/9e/fX927d9eOHTu0cuVKzyMTi8TGxqpLly6Ki4tTRESEtm7dqg8//FBjx469pO0HgBrLzFvXAwCspaRHjwUEBBitWrUy3nrrLcPtdnuNz83NNR5++GGjXr16hp+fn9G0aVPjxRdf9Izbtm2b4evra9x///1e8xUUFBjt2rUz6tWrZ/z666/nrKfoUViLFy8+b90lPfLNMAzjiy++MG688UYjMDDQCA0NNW677TZj9+7dxeZ/5plnjCuuuMKw2+2levzbwoULjdatWxsOh8OIiIgwkpKSjJ9//tlrzKU88u1cY3/99Vdj5MiRRmRkpBEcHGwkJiYae/bsKfaIrQstZ/Xq1UZiYqIRFhZmBAQEGFdddZUxYsQIY+vWraWqb+3atca9995rXHbZZUZwcLCRlJTk9Ui9sy1atMiQZNx7770X3H7DMAyXy2X861//Mvr27Ws0atTIcDgcRlBQkNG6dWvjxRdfNPLz873GHzhwwOjWrZvhcDiMunXrGk888YSRmppa4iPfrrnmmvOuOykpyZBkdOvWrcT+P77ORfbv3+95n3z55ZfF+kv771baR74tX77cuOuuu4yYmBgjODjY8Pf3N66++mrj/vvvN44dO+Y1ds+ePUbnzp2NwMBAQ5JnfaWtyTAM41//+pdx5ZVXGj4+Pl71FRYWGo899pgRGRlpBAUFGYmJicb3339fbBnPPvus0b59eyM8PNwIDAw0YmJijGnTppX4iDoAwLnZDKOE86wAAADK4JNPPlHfvn21bt06derUyexyAACosgjtAACg3N16661KT0/X999/f1E3+wMAAN64ph0AAJSbDz74QN99952WLVumV199lcAOAEAZcaQdAACUG5vNpuDgYA0aNEizZ88u12fAAwBQE7EnBQAA5YZjAQAAlC+e0w4AAAAAgEUR2gEAAAAAsChOj5fkdrt15MgRhYSEcMMcAAAAAECFMwxDubm5qlevnuz2cx9PJ7RLOnLkiBo0aGB2GQAAAACAGubw4cOqX7/+OfsJ7ZJCQkIk/f5ihYaGmlwNgLO5XC6lpKSoR48e8vPzM7scAACqDPahgLXl5OSoQYMGnjx6LoR2yXNKfGhoKKEdsBiXy6WgoCCFhobyBwcAABeBfShQNVzoEm1uRAcAAAAAgEUR2gEAAAAAsChCOwAAAAAAFkVoBwAAAADAogjtAAAAAABYFKEdAAAAAACLIrQDAAAAAGBRhHYAAAAAACyK0A4AAAAAgEUR2gEAAAAAsChCOwAAAAAAFkVoBwAAAADAogjtAAAAAABYFKEdAAAAqIYWLFig9evXa8GCBWaXAqAMCO0AAABANXPixAnt3LlTkrRz506dOHHC5IoAXCpCOwAAAFDNvPnmm+edBlB1ENoBAACAamTr1q3Kzs72asvOztbWrVvNKQhAmRDaAQAAgGqisLBQixYtKrFv0aJFKiwsrOSKAJQVoR0AAACoJjZv3iy3211in9vt1ubNmyu5IgBlRWgHAAAAqokOHTrIbi/5T3y73a4OHTpUckUAyorQDgAAAFQTPj4+GjhwYIl9AwcOlI+PTyVXBKCsCO0AAABANdK2bVuFh4d7tYWHh6tt27bmFASgTAjtAAAAQDVz3333nXcaQNVBaAcAAACqmYiICLVs2VKS1LJlS0VERJhcEYBLZWponzx5smw2m9dPTEyMp//MmTMaM2aMateureDgYPXv31/Hjh3zWsZPP/2k3r17KygoSFFRURo/frwKCgoqe1MAAAAAS7nzzjvVqVMn3XnnnWaXAqAMfM0u4JprrtEXX3zhmfb1/b+SHn74YS1btkyLFy9WWFiYxo4dq379+umrr76S9PtzKHv37q3o6Ght2LBBR48e1bBhw+Tn56fnnnuu0rcFAAAAAIDyZHpo9/X1VXR0dLH2kydP6p133tGCBQuUkJAgSZozZ45atGihTZs2qWPHjkpJSdHu3bv1xRdfqG7dumrVqpWeeeYZPfbYY5o8ebL8/f0re3MAAAAAACg3pof2/fv3q169egoICFB8fLymT5+uhg0batu2bXK5XOrWrZtnbExMjBo2bKiNGzeqY8eO2rhxo1q2bKm6det6xiQmJmr06NHatWuXWrduXeI68/PzlZ+f75nOycmRJLlcLrlcrgraUgCXoug9yXsTAICLwz4UsLbSvjdNDe0dOnTQ3Llz1bx5cx09elRTpkxRp06d9N///lcZGRny9/cv9riKunXrKiMjQ5KUkZHhFdiL+ov6zmX69OmaMmVKsfaUlBQFBQWVcasAVITU1FSzSwAAoEpiHwpYU15eXqnGmRrae/Xq5fn/6667Th06dFCjRo20aNEiBQYGVth6J0yYoHHjxnmmc3Jy1KBBA/Xo0UOhoaEVtl4AF8/lcik1NVXdu3eXn5+f2eUAAFBlsA8FrK3ojO8LMf30+LOFh4erWbNm+v7779W9e3c5nU5lZ2d7HW0/duyY5xr46OhobdmyxWsZRXeXL+k6+SIOh0MOh6NYu5+fHx9ogEXx/gQA4NKwDwWsqbTvS0s9p/3UqVM6cOCALr/8csXFxcnPz0+rVq3y9O/du1c//fST4uPjJUnx8fHauXOnMjMzPWNSU1MVGhqq2NjYSq8fAAAAAIDyZOqR9r/97W+67bbb1KhRIx05ckRPP/20fHx8NGTIEIWFhWnUqFEaN26cIiIiFBoaqvvvv1/x8fHq2LGjJKlHjx6KjY3V0KFDNWPGDGVkZGjixIkaM2ZMiUfSAQAAAACoSkwN7T///LOGDBmi48ePq06dOrrpppu0adMm1alTR5I0c+ZM2e129e/fX/n5+UpMTNSbb77pmd/Hx0dLly7V6NGjFR8fr1q1amn48OGaOnWqWZsEAAAAAEC5MTW0f/DBB+ftDwgI0KxZszRr1qxzjmnUqJE+//zz8i4NAAAAAADTWeqadgAAAAAA8H8I7QAAAAAAWBShHQAAAAAAiyK0AwAAAABgUYR2AAAAAAAsitAOAAAAAIBFEdoBAAAAALAoQjsAAAAAABZFaAcAAAAAwKII7QAAAAAAWBShHQAAAAAAiyK0AwAAAABgUYR2AAAAAAAsitAOAAAAAIBFEdoBAAAAALAoQjsAAAAAABZFaAcAAAAAwKII7QAAAAAAWBShHQAAAAAAiyK0AwAAAABgUYR2AAAAAAAsitAOAAAAAIBFEdoBAAAAALAoQjsAAAAAABZFaAcAAAAAwKII7QAAAAAAWBShHQAAAAAAiyK0AwAAAABgUYR2AAAAAAAsitAOAAAAAIBFEdoBAAAAALAoQjsAAAAAABZFaAcAAAAAwKII7QAAAAAAWBShHQAAAAAAiyK0AwAAAABgUYR2AAAAAAAsitAOAAAAAIBFEdoBAAAAALAoQjsAAAAAABZFaAcAAAAAwKII7QAAAAAAWBShHQAAAAAAiyK0AwAAAABgUYR2AAAAAAAsitAOAAAAAIBFEdoBAAAAALAoQjsAAAAAABZFaAcAAAAAwKII7QAAAAAAWBShHQAAAAAAiyK0AwAAAABgUYR2AAAAAAAsitAOAAAAAIBFEdoBAAAAALAoQjsAAAAAABZFaAcAAAAAwKII7QAAAAAAWBShHQAAAAAAiyK0AwAAAABgUYR2AAAAAAAsitAOAAAAAIBFEdoBAAAAALAoQjsAAAAAABZFaAcAAAAAwKII7QAAAAAAWBShHQAAAAAAiyK0AwAAAABgUYR2AAAAAAAsitAOAAAAAIBFEdoBAAAAALAoy4T2559/XjabTQ899JCn7cyZMxozZoxq166t4OBg9e/fX8eOHfOa76efflLv3r0VFBSkqKgojR8/XgUFBZVcPQAAAAAA5c8Sof3rr7/WP/7xD1133XVe7Q8//LA+++wzLV68WGvXrtWRI0fUr18/T39hYaF69+4tp9OpDRs2aN68eZo7d64mTZpU2ZsAAAAAAEC5Mz20nzp1SklJSfrXv/6lyy67zNN+8uRJvfPOO3r55ZeVkJCguLg4zZkzRxs2bNCmTZskSSkpKdq9e7fee+89tWrVSr169dIzzzyjWbNmyel0mrVJAAAAAACUC1+zCxgzZox69+6tbt266dlnn/W0b9u2TS6XS926dfO0xcTEqGHDhtq4caM6duyojRs3qmXLlqpbt65nTGJiokaPHq1du3apdevWJa4zPz9f+fn5numcnBxJksvlksvlKu9NBFAGRe9J3psAAFwc9qGAtZX2vWlqaP/ggw/0zTff6Ouvvy7Wl5GRIX9/f4WHh3u1161bVxkZGZ4xZwf2ov6ivnOZPn26pkyZUqw9JSVFQUFBF7sZACpBamqq2SUAAFAlsQ8FrCkvL69U40wL7YcPH9aDDz6o1NRUBQQEVOq6J0yYoHHjxnmmc3Jy1KBBA/Xo0UOhoaGVWguA83O5XEpNTVX37t3l5+dndjkAAFQZ7EMBays64/tCTAvt27ZtU2Zmptq0aeNpKyws1Lp16/TGG29o5cqVcjqdys7O9jrafuzYMUVHR0uSoqOjtWXLFq/lFt1dvmhMSRwOhxwOR7F2Pz8/PtAAi+L9CQDApWEfClhTad+Xpt2I7k9/+pN27typ7du3e37atm2rpKQkz//7+flp1apVnnn27t2rn376SfHx8ZKk+Ph47dy5U5mZmZ4xqampCg0NVWxsbKVvEwAAAAAA5cm0I+0hISG69tprvdpq1aql2rVre9pHjRqlcePGKSIiQqGhobr//vsVHx+vjh07SpJ69Oih2NhYDR06VDNmzFBGRoYmTpyoMWPGlHgkHQAAAACAqsT0u8efz8yZM2W329W/f3/l5+crMTFRb775pqffx8dHS5cu1ejRoxUfH69atWpp+PDhmjp1qolVAwAAAABQPiwV2tesWeM1HRAQoFmzZmnWrFnnnKdRo0b6/PPPK7gyAAAAAAAqn2nXtAMAAAAAgPMjtAMAAAAAYFGEdgAAAAAALIrQDgAAAACARRHaAQAAAACwKEI7AAAAAAAWRWgHAAAAAMCiCO0AAAAAAFgUoR0AAAAAAIsitAMAAAAAYFGEdgAAAAAALIrQDgAAAACARRHaAQAAAACwKEI7AAAAAAAWRWgHAAAAAMCiCO0AAAAAAFgUoR0AAAAAAIsitAMAAAAAYFGEdgAAAAAALIrQDgAAAACARRHaAQAAAACwKEI7AAAAAAAWRWgHAAAAAMCiCO0AAAAAAFgUoR0AAAAAAIsitAMAAAAAYFGEdgAAAAAALIrQDgAAAACARRHaAQAAAACwKEI7AAAAAAAWRWgHAAAAAMCiCO0AAAAAAFgUoR0AAAAAAIsitAMAAAAAYFGEdgAAAAAALIrQDgAAAACARRHaAQAAAACwKEI7AAAAAAAWRWgHAAAAAMCiCO0AAAAAAFgUoR0AAAAAAIsitAMAAAAAYFGEdgAAAAAALIrQDgAAAACARRHaAQAAAACwKEI7AAAAAAAWRWgHAAAAAMCiCO0AAAAAAFgUoR0AAAAAAIsitAMAAAAAYFGEdgAAAAAALIrQDgAAAACARRHaAQAAAACwKEI7AAAAAAAWRWgHAAAAAMCiCO0AAAAAAFgUoR0AAAAAAIsitAMAAAAAYFGEdgAAAAAALIrQDgAAAACARRHaAQAAAACwKEI7AAAAAAAWRWgHAAAAAMCiCO0AAAAAAFgUoR0AAAAAAIsitAMAAAAAYFGEdgAAAAAALIrQDgAAAACARRHaAQAAAACwKEI7AAAAAAAWRWgHAAAAAMCiTA3tb731lq677jqFhoYqNDRU8fHxWr58uaf/zJkzGjNmjGrXrq3g4GD1799fx44d81rGTz/9pN69eysoKEhRUVEaP368CgoKKntTAAAAAAAod6aG9vr16+v555/Xtm3btHXrViUkJKhPnz7atWuXJOnhhx/WZ599psWLF2vt2rU6cuSI+vXr55m/sLBQvXv3ltPp1IYNGzRv3jzNnTtXkyZNMmuTAAAAAAAoNzbDMAyzizhbRESEXnzxRQ0YMEB16tTRggULNGDAAEnSnj171KJFC23cuFEdO3bU8uXLdeutt+rIkSOqW7euJGn27Nl67LHH9Msvv8jf379U68zJyVFYWJhOnjyp0NDQCts2ABfP5XLp888/1y233CI/Pz+zywEAoMpgHwpYW2lzqG8l1nRehYWFWrx4sU6fPq34+Hht27ZNLpdL3bp184yJiYlRw4YNPaF948aNatmypSewS1JiYqJGjx6tXbt2qXXr1iWuKz8/X/n5+Z7pnJwcSb9/sLlcrgraQgCXoug9yXsTAICLwz4UsLbSvjdND+07d+5UfHy8zpw5o+DgYC1ZskSxsbHavn27/P39FR4e7jW+bt26ysjIkCRlZGR4Bfai/qK+c5k+fbqmTJlSrD0lJUVBQUFl3CIAFSE1NdXsEgAAqJLYhwLWlJeXV6pxpof25s2ba/v27Tp58qQ+/PBDDR8+XGvXrq3QdU6YMEHjxo3zTOfk5KhBgwbq0aMHp8cDFuNyuZSamqru3btzah8AABeBfShgbUVnfF+I6aHd399fV199tSQpLi5OX3/9tV599VUNGjRITqdT2dnZXkfbjx07pujoaElSdHS0tmzZ4rW8orvLF40picPhkMPhKNbu5+fHBxpgUbw/AQC4NOxDAWsq7fvScs9pd7vdys/PV1xcnPz8/LRq1SpP3969e/XTTz8pPj5ekhQfH6+dO3cqMzPTMyY1NVWhoaGKjY2t9NoBAAAAAChPph5pnzBhgnr16qWGDRsqNzdXCxYs0Jo1a7Ry5UqFhYVp1KhRGjdunCIiIhQaGqr7779f8fHx6tixoySpR48eio2N1dChQzVjxgxlZGRo4sSJGjNmTIlH0gEAAAAAqEpMDe2ZmZkaNmyYjh49qrCwMF133XVauXKlunfvLkmaOXOm7Ha7+vfvr/z8fCUmJurNN9/0zO/j46OlS5dq9OjRio+PV61atTR8+HBNnTrVrE0CAAAAAKDcmBra33nnnfP2BwQEaNasWZo1a9Y5xzRq1Eiff/55eZcGAAAAAIDpLHdNOwAAAAAA+B2hHQAAAAAAiyK0AwAAAABgUYR2AAAAAAAsitAOAAAAAIBFEdoBAAAAALAoQjsAAAAAABZFaAcAAAAAwKII7QAAAAAAWBShHQAAAAAAiyK0AwAAAABgUYR2AAAAAAAsitAOAAAAAIBFEdoBAAAAALAoQjsAAAAAABZFaAcAAAAAwKII7QAAAAAAWBShHQAAAAAAi7rk0H7gwAFNnDhRQ4YMUWZmpiRp+fLl2rVrV7kVBwApKSlav369UlJSzC4FAIAqhX0oUD1cUmhfu3atWrZsqc2bN+vjjz/WqVOnJEk7duzQ008/Xa4FAqi5Tp06pTVr1kiS1qxZ4/msAQAA53fq1CmtXr1akrR69Wr2oUAVdkmh/fHHH9ezzz6r1NRU+fv7e9oTEhK0adOmcisOQM02b948GYYhSTIMQ/PmzTO5IgAAqoZ33nnnvNMAqo5LCu07d+7UHXfcUaw9KipKWVlZZS4KAPbv36+DBw96tR08eFD79+83qSIAAKqG/fv36/Dhw15thw8fZh8KVFGXFNrDw8N19OjRYu3ffvutrrjiijIXBaBmc7vdmj9/fol98+fPl9vtruSKAACoGtxut+bMmVNi35w5c9iHAlXQJYX2wYMH67HHHlNGRoZsNpvcbre++uor/e1vf9OwYcPKu0YANcyePXuUl5dXYl9eXp727NlTyRUBAFA17N69W06ns8Q+p9Op3bt3V3JFAMrqkkL7c889p5iYGDVo0ECnTp1SbGysOnfurBtuuEETJ04s7xoB1DAxMTEKCgoqsS8oKEgxMTGVXBEAAABgjosO7YZhKCMjQ6+99pp++OEHLV26VO+995727Nmj+fPny8fHpyLqBFCD2O12DR06tMS+oUOHym6/5KdVAgBQrcXGxsrhcJTY53A4FBsbW8kVASgr34udwTAMXX311dq1a5eaNm2qBg0aVERdAGq4pk2bqkmTJl43o2vSpImaNm1qYlUAAFib3W7XiBEj9I9//KNY34gRI/jiG6iCLvpda7fb1bRpUx0/frwi6gEAj+HDh8tms0mSbDabhg8fbnJFAABYX9OmTdWwYUOvtoYNG/LFN1BFXdJXbc8//7zGjx+v//73v+VdDwB4BAcHq0uXLpKkLl26KDg42NyCAACoIu66667zTgOoOi769HhJGjZsmPLy8nT99dfL399fgYGBXv0nTpwol+IAoEePHiooKFCPHj3MLgUAgCojODhYXbt21erVq9W1a1e++AaqsEsK7a+88ko5lwEAAACgPPHFN1A9XFJo57pSAJUlPT1dW7ZsUZMmTXTdddeZXQ4AAFUG+1Cgeijz7SPPnDmjnJwcrx8AKA9Op1PJycnKz89XcnKynE6n2SUBAFAlsA8Fqo9LCu2nT5/W2LFjFRUVpVq1aumyyy7z+gGA8pCWlqbc3FxJUm5urtLS0kyuCACAqoF9KFB9XFJof/TRR5WWlqa33npLDodDb7/9tqZMmaJ69erp3//+d3nXCKAGysrKUlpamgzDkCQZhqHVq1crKyvL5MoAALA29qFA9XJJof2zzz7Tm2++qf79+8vX11edOnXSxIkT9dxzz+n9998v7xoB1DCGYejjjz8+Z3vRHyEAAMAb+1Cg+rmk0H7ixAldeeWVkqTQ0FDPI95uuukmrVu3rvyqA1AjZWZmat++fXK73V7tbrdb+/btU2ZmpkmVAQBgbexDgernkkL7lVdeqYMHD0qSYmJitGjRIkm/H4EPDw8vt+IA1ExRUVFq1qyZ7Hbvjyi73a7mzZsrKirKpMoAALA29qFA9XNRof2HH36Q2+3WyJEjtWPHDknS448/rlmzZikgIEAPP/ywxo8fXyGFAqg5bDab+vXrV2L7HXfcIZvNZkJVAABYH/tQoPq5qOe0N23aVEePHtXDDz8sSRo0aJBee+017dmzR9u2bdPVV1/NMyABlIvIyEglJCRo1apVMgxDNptNXbt2VWRkpNmlAQBgaexDgerloo60//HGFZ9//rlOnz6tRo0aqV+/fgR2AOUqISFBISEhkn6/f0ZCQoLJFQEAUDWwDwWqj0u6ph0AKoO/v7/69u0rh8OhPn36yN/f3+ySAACoEtiHAtXHRYV2m81W7DoYrosBUJFatGih9u3bq0WLFmaXAgBAlcI+FKgeLuqadsMwNGLECDkcDknSmTNn9P/+3/9TrVq1vMaV9GxIAAAAAABwcS4qtA8fPtxr+i9/+Uu5FgMAAAAAAP7PRYX2OXPmVFQdAAAAAADgD7gRHQAAAAAAFkVoB2Bp6enp2rJli9LT080uBQCAKmXBggVav369FixYYHYpAMqA0A7AspxOp5KTk5Wfn6/k5GQ5nU6zSwIAoEo4ceKEdu7cKUnauXOnTpw4YXJFAC4VoR2AZaWlpSk3N1eSlJubq7S0NJMrAgCganjzzTfPOw2g6iC0A7CkrKwspaWlyTAMSb8/cnL16tXKysoyuTIAAKxt69atys7O9mrLzs7W1q1bzSkIQJkQ2gFYjmEY+vjjj8/ZXhTkAQCAt8LCQi1atKjEvkWLFqmwsLCSKwJQVoR2AJaTmZmpffv2ye12e7W73W7t27dPmZmZJlUGAIC1bd68udj+s4jb7dbmzZsruSIAZUVoB2A5UVFRatasmex2748ou92u5s2bKyoqyqTKAACwtg4dOhTbfxax2+3q0KFDJVcEoKwI7QAsx2azqV+/fsVOgzcMQ3fccYdsNptJlQEAYG0+Pj4aOHBgiX0DBw6Uj49PJVcEoKwI7QAsi2vXAQC4eG3btlV4eLhXW3h4uNq2bWtOQQDKhNAOwHKKbjhX0hF1bkQHAMCF3XfffeedBlB1ENoBWE7RjehKOj2eG9EBAHBhERERatmypSSpZcuWioiIMLkiAJeK0A7AcrgRHQAAZXfnnXeqU6dOuvPOO80uBUAZENoBWE7RjehKaudGdAAAAKhJCO0ALCkyMlIJCQlebV27dlVkZKRJFQEAULUsWLBA69ev14IFC8wuBUAZENoBWNZNN93kOapus9l00003mVwRAABVw4kTJ7Rz505J0s6dO3XixAmTKwJwqQjtACzryy+/9NyMzjAMffnllyZXBABA1fDmm2+edxpA1UFoB2BJWVlZSktL82pbvXq1srKyTKoIAICqYevWrcrOzvZqy87O1tatW80pCECZENoBWE7Rc9rP1c5z2gEAKFlhYaEWLVpUYt+iRYtUWFhYyRUBKCtCOwDLKXpOu9vt9mp3u908px0AgPPYvHlzsf1nEbfbrc2bN1dyRQDKitAOwHJ4TjsAAJemQ4cOxfafRex2uzp06FDJFQEoK0I7AMvhOe0AAFwaHx8fDRw4sMS+gQMHysfHp5IrAlBWhHYAllT0nPazH/nGc9oBALiwtm3bKjw83KstPDxcbdu2NacgAGVCaAdgWQkJCQoJCZEkhYaGKiEhweSKAACoGu67777zTgOoOgjtACzL399fffv2lcPhUJ8+feTv7292SQAAVAkRERFq2bKlJKlly5aKiIgwuSIAl8rU0D59+nS1a9dOISEhioqKUt++fbV3716vMWfOnNGYMWNUu3ZtBQcHq3///jp27JjXmJ9++km9e/dWUFCQoqKiNH78eBUUFFTmpgCoIC1atFD79u3VokULs0sBAKBKufPOO9WpUyfdeeedZpcCoAxMDe1r167VmDFjtGnTJqWmpsrlcqlHjx46ffq0Z8zDDz+szz77TIsXL9batWt15MgRrxtUFRYWqnfv3nI6ndqwYYPmzZunuXPnatKkSWZsEgAAAAAA5cbXzJWvWLHCa3ru3LmKiorStm3b1LlzZ508eVLvvPOOFixY4LmWdc6cOWrRooU2bdqkjh07KiUlRbt379YXX3yhunXrqlWrVnrmmWf02GOPafLkyZxOCwAAAACoskwN7X908uRJSfJcc7Nt2za5XC5169bNMyYmJkYNGzbUxo0b1bFjR23cuFEtW7ZU3bp1PWMSExM1evRo7dq1S61bty62nvz8fOXn53umc3JyJEkul0sul6tCtg3ApSl6T/LeBADg4rAPBayttO9Ny4R2t9uthx56SDfeeKOuvfZaSVJGRob8/f2LPbKibt26ysjI8Iw5O7AX9Rf1lWT69OmaMmVKsfaUlBQFBQWVdVMAVIDU1FSzSwAAoEpiHwpYU15eXqnGWSa0jxkzRv/973/15ZdfVvi6JkyYoHHjxnmmc3Jy1KBBA/Xo0UOhoaEVvn4ApedyuZSamqru3bvLz8/P7HIAAKgy2IcC1lZ0xveFWCK0jx07VkuXLtW6detUv359T3t0dLScTqeys7O9jrYfO3ZM0dHRnjFbtmzxWl7R3eWLxvyRw+GQw+Eo1u7n58cHGmBRvD8BALg07EMBayrt+9LUu8cbhqGxY8dqyZIlSktLU5MmTbz64+Li5Ofnp1WrVnna9u7dq59++knx8fGSpPj4eO3cuVOZmZmeMampqQoNDVVsbGzlbAgAAAAAABXA1CPtY8aM0YIFC/TJJ58oJCTEcw16WFiYAgMDFRYWplGjRmncuHGKiIhQaGio7r//fsXHx6tjx46SpB49eig2NlZDhw7VjBkzlJGRoYkTJ2rMmDElHk0HAAAAAKCqMDW0v/XWW5KkLl26eLXPmTNHI0aMkCTNnDlTdrtd/fv3V35+vhITE/Xmm296xvr4+Gjp0qUaPXq04uPjVatWLQ0fPlxTp06trM0AAAAAAKBCmBraDcO44JiAgADNmjVLs2bNOueYRo0a6fPPPy/P0gAAAAAAMJ2p17QDAAAAAIBzI7QDAAAAAGBRhHYAAAAAACyK0A4AAAAAgEUR2gEAAAAAsChCOwAAAAAAFkVoBwAAAADAogjtAAAAAABYFKEdAAAAAACLIrQDAAAAAGBRhHYAAAAAACyK0A4AAAAAgEUR2gEAAAAAsChCOwAAAAAAFkVoBwAAAADAogjtAAAAAABYFKEdAAAAAACLIrQDAAAA1VBKSorWr1+vlJQUs0sBUAaEdgAAAKCaOXXqlNasWSNJWrNmjU6dOmVuQQAuGaEdAAAAqGbmzZsnwzAkSYZhaN68eSZXBOBSEdoBAACAamT//v06ePCgV9vBgwe1f/9+kyoCUBaEdgAAAKCacLvdmj9/fol98+fPl9vtruSKAJQVoR0AAACoJvbs2aO8vLwS+/Ly8rRnz55KrghAWRHaAQAAgGoiJiZGQUFBJfYFBQUpJiamkisCUFaEdgAAAKCasNvtGjp0aIl9Q4cOld3On/9AVcO7FgAAAKhGmjZtqiZNmni1NWnSRE2bNjWpIgBlQWgHYGnp6enasmWL0tPTzS4FAIAqY/jw4eedBlB1ENoBWJbT6dQHH3yg/Px8ffDBB3I6nWaXBAAAAFQqQjsAy1qxYoUnqDudTq1YscLkigAAqBreeeed804DqDoI7QAsKSsrS+vWrfNqW7dunbKyskyqCACAqmH//v06fPiwV9vhw4e1f/9+kyoCUBaEdgCWYxiG3nvvvRL73nvvPRmGUckVAQBQNbjdbs2ZM6fEvjlz5sjtdldyRQDKitAOwHIyMjL0888/l9j3888/KyMjo5IrAgCgati9e/c57wHjdDq1e/fuSq4IQFkR2gFYzokTJ8rUDwAAAFQXhHYAltOiRQsFBASU2BcYGKgWLVpUckUAAFQNsbGxcjgcJfY5HA7FxsZWckUAyorQDsBy7Hb7OZ8nO2zYMNntfHQBAFASu92uESNGlNg3YsQI9qFAFcS7FoAlNW3aVI0aNfJqa9SokZo2bWpSRQAAAEDlI7QDsKyRI0d6/t9ms3lNAwCA4txut+bPn19i3/z587l7PFAFEdoBWFZwcLC6du0qSerSpYuCg4NNrggAAGvbs2eP8vLySuzLy8vTnj17KrkiAGXla3YBAHA+PXr0UEFBgXr06GF2KQAAWF5MTIyCgoJKDO5BQUGKiYkxoSoAZcGRdgAAAKCasNvtGjp0aIl9Q4cO5UZ0QBXEuxYAAACoRpo2baomTZp4tTVp0oSbuQJVFKEdgKWlp6dry5YtSk9PN7sUAACqjD8+OvVcj1IFYH2EdgCW5XQ6lZycrPz8fCUnJ8vpdJpdEgAAVcLp06fPOw2g6iC0A7CstLQ05ebmSpJyc3OVlpZmckUAAFQNr7766nmnAVQdhHYAlpSVlaW0tDQZhiFJMgxDq1evVlZWlsmVAQBgbatXry52dprT6dTq1atNqghAWRDaAViOYRj6+OOPz9leFOQBAIC3goICLVu2rMS+ZcuWqaCgoJIrAlBWhHYAlpOZmal9+/bJ7XZ7tbvdbu3bt0+ZmZkmVQYAgLWlpKSUqR+A9RDaAVhOVFSUmjVrVuxZsna7Xc2bN1dUVJRJlQEAYG3169cvUz8A6yG0A7Acm82mfv36ldh+xx13yGazmVAVAADWd+2118rPz6/EPj8/P1177bWVXBGAsiK0A7CkyMhIJSQkeAK6zWZT165dFRkZaXJlAABYl91u11133VVi31133VXsLDYA1se7FoBlJSQkKCQkRJIUGhqqhIQEkysCAMD6mjZtqiuuuMKr7YorrlDTpk1NqghAWRDaAViWv7+/+vbtK4fDoT59+sjf39/skgAAqBLuueee804DqDoI7QAsrUWLFmrfvr1atGhhdikAAFQZwcHB6tq1qySpa9euCg4ONrkiAJfK1+wCAAAAAJS/Hj16qKCgQD169DC7FABlwJF2AAAAAAAsitAOAAAAAIBFcXo8AAAAKpRhGHI6nWaXUePk5eXJ6XQqPz9fbrfb7HJqFH9/f89ja4GyIrQDAACgQjmdTj355JNml1Fjbd682ewSapxp06bJ4XCYXQaqCU6PBwAAAADAojjSDsDS0tPTtWXLFjVp0kTXXXed2eUAAC6Bv7+/pk2bZnYZNYrT6dSUKVMkSU8++aSCgoJMrqhm8ff3N7sEVCOEdgCW5XQ6lZycrPz8fCUnJysmJoadIABUQTabjVOFTeTv78/rD1RhnB4PwLLS0tKUk5MjScrJyVFaWprJFQEAAACVi9AOwJKysrK0atUqr7a0tDRlZWWZVBEAAABQ+QjtACzHMAx9/PHHMgzDq93tdpfYDgAAAFRXhHYAlpOZmal9+/aV2Ldv3z5lZmZWckUAAACAOQjtACynTp06CggIKLEvICBAderUqeSKAAAAAHMQ2gFYTmZmps6cOVNi35kzZzjSDgAAgBqD0A4AAAAAgEUR2gFYTlRU1HlPj4+KiqrkigAAAABzENoBWM4vv/xy3tPjf/nll0quCAAAADAHoR2A5URFRalZs2Yl9jVv3pwj7QAAAKgxTA3t69at02233aZ69erJZrMpOTnZq98wDE2aNEmXX365AgMD1a1bN+3fv99rzIkTJ5SUlKTQ0FCFh4dr1KhROnXqVCVuBYDyZrPZ1K9fP9nt3h9Rdrtdd9xxh2w2m0mVAQAAAJXL1NB++vRpXX/99Zo1a1aJ/TNmzNBrr72m2bNna/PmzapVq5YSExO9TptNSkrSrl27lJqaqqVLl2rdunW69957K2sTAFSQyMhIJSQkeLUlJCQoMjLSpIoAAACAyudr5sp79eqlXr16ldhnGIZeeeUVTZw4UX369JEk/fvf/1bdunWVnJyswYMHKz09XStWrNDXX3+ttm3bSpJef/113XLLLXrppZdUr169StsWAOUvISFBW7ZsUU5OjsLCwoqFeAAAAKC6MzW0n8/BgweVkZGhbt26edrCwsLUoUMHbdy4UYMHD9bGjRsVHh7uCeyS1K1bN9ntdm3evFl33HFHicvOz89Xfn6+ZzonJ0eS5HK55HK5KmiLAFwsm82mW2+9VR999JF69+4tm83GexQAgFIoKCjw/D9/4wLWVNr3pWVDe0ZGhiSpbt26Xu1169b19GVkZBS7IZWvr68iIiI8Y0oyffp0TZkypVh7SkqKgoKCylo6gHLWvn17HT58WIcPHza7FAAAqoTCwkLP/6elpcnHx8fEagCUJC8vr1TjLBvaK9KECRM0btw4z3ROTo4aNGigHj16KDQ01MTKAPyRy+VSamqqunfvLj8/P7PLAQCgSnA6ndqwYYOk3y83q1WrlskVAfijojO+L8SyoT06OlqSdOzYMV1++eWe9mPHjqlVq1aeMZmZmV7zFRQU6MSJE575S+JwOORwOIq1+/n5EQoAi+L9CQBA6bndbs//sw8FrKm070vLPqe9SZMmio6O1qpVqzxtOTk52rx5s+Lj4yVJ8fHxys7O1rZt2zxj0tLS5Ha71aFDh0qvGUD5S09P15YtW5Senm52KQAAAEClM/VI+6lTp/T99997pg8ePKjt27crIiJCDRs21EMPPaRnn31WTZs2VZMmTfTUU0+pXr166tu3rySpRYsW6tmzp+655x7Nnj1bLpdLY8eO1eDBg7lzPFANOJ1OJScnKz8/X8nJyYqJiZG/v7/ZZQEAAACVxtTQvnXrVnXt2tUzXXSd+fDhwzV37lw9+uijOn36tO69915lZ2frpptu0ooVKxQQEOCZ5/3339fYsWP1pz/9SXa7Xf3799drr71W6dsCoPylpaUpNzdXkpSbm6u0tDT17NnT5KoAAACAymNqaO/SpYsMwzhnv81m09SpUzV16tRzjomIiNCCBQsqojwAJsrKylJaWprnM8IwDK1evVpt27ZVZGSkydUBAAAAlcOy17QDqLkMw9DHH398zvbzfdkHAAAAVCeEdgCWk5mZqX379nnd+Vb6/U64+/btK/bUCAAAAKC6IrQDsJyoqCg1a9ZMdrv3R5Tdblfz5s0VFRVlUmUAAABA5SK0A7Acm82mfv36FTsN3jAM3XHHHbLZbCZVBgAAAFQuQjsAyyoptAMAAAA1CaEdgOUYhqGFCxeW2Ldw4ULCOwAAAGoMQjsAyzl27JgOHjxYYt/Bgwd17NixSq4IAAAAMAehHQAAAAAAiyK0A7CcqKgo+fn5ldjn5+fH3eMBAABQYxDaAVhORkaGXC5XiX0ul0sZGRmVXBEAAABgDkI7AMs5cOBAmfoBAACA6oLQDsBywsPDy9QPAAAAVBeEdgCWc80118hms5XYZ7PZdM0111RyRQAAAIA5CO0ALKewsPCcz2I3DEOFhYWVXBEAAABgDkI7AMv59NNPy9QPAAAAVBeEdgCWc/vtt5epHwAAAKguCO0ALMfX11e+vr4X3QcAAABUN4R2AJbz888/q6CgoMS+goIC/fzzz5VcEQAAAGAOQjsAy1mxYkWZ+gEAAIDqgtAOwHKGDh1apn4AAACguiC0A7CckydPlqkfAAAAqC4I7QAsJyoqSs2aNSuxr3nz5oqKiqrkigAAAABzENoBWI7NZlObNm1K7GvdurVsNlslVwQAAACYg9AOwHLcbreSk5NL7EtOTpbb7a7cggAAAACTENoBWE56errOnDlTYt+ZM2eUnp5eyRUBAAAA5iC0A7CciIiIMvUDAAAA1YWv2QUAwB9FR0crMjJSWVlZxfoiIyMVHR1tQlUAqgvDMOR0Os0uA6hQZ/+OO51O+fryZz+qN39//2p73yPevQAsxzAM5ebmltiXm5srwzCq7YcygIrndDr15JNPml0GUGmmT5/O/WBQ7U2bNk0Oh8PsMioEp8cDsJz09HTl5+eX2Jefn8817QAAAKgxONIOlBKnU1ae4ODgC/afK9Sj/FTn08yAIg93ri8/H37PUf0YhqEzhdK2wobq4HdYfhyqQzXkKjQ0c93PZpdR4QjtQClxOqV1vP7662aXUCNU59PMgCJ+Pjb5+5BmUD35+Njk4/SRw9dHvjbD7HKAClAzLvtgLwUAAAAAgEVxpB0oJX9/f02bNs3sMmqUzz77TJs2bfJM33jjjbrllltMrKhm8ff3N7sEAACAGo/QDpSSzWbjVOFKlpiY6Ant/v7+6t27N0ESAAAANQqnxwOwrLMD+oABAwjsAAAAqHEI7QCqhObNm5tdAgAAAFDpCO0AAAAAAFgUoR0AAAAAAIsitAMAAAAAYFGEdgAAAAAALIrQDgAAAACARRHaAQAAAACwKEI7AAAAAAAWRWgHAAAAAMCiCO0AAAAAAFgUoR0AAAAAAIsitAMAAAAAYFGEdgAAAAAALIrQDgAAAACARRHaAQAAAACwKEI7AAAAAAAW5Wt2Abg0hmHI6XSaXQZQoc7+HXc6nfL15SML1Zu/v79sNpvZZVR7hmF4/t9Z6DaxEqBiFRg2FRYWylnolttmXHgGoIo5+zP87M/26oa/gKsop9OpJ5980uwygEozffp0ud38cY3qbdq0aXI4HGaXUe25XC7P/7+y7n8mVgJUhp+0wewSgErgcrkUEBBgdhkVgtPjAQAAAACwKI60VwNxt4+V3dfP7DKAcmcYhtyufAWc2CFnnTjZfPjIQvXjLnBp26dvmF1GjeLn93/7zIc6XyF/H45hoHoqMGza5Kyvjv4/y5fT41ENOQvdnjOmzv5sr274C7gasPv6ycfX3+wygIrh4yMfHx/5+vlLdj6yAJTd2fcN8PexE9pRbdkNm3x8fOTvYye0o9qrzveEYS8FAAAAAIBFEdoBAAAAALAoQjsAAAAAABZFaAcAAAAAwKII7QAAAAAAWBShHQAAAAAAi+L5SQAAoMZyFRqS3GaXAZQ7wzB0plAqLCxUfkGh3ByqQzX0+2d49UdoBwAANdbMdT+bXQJQwX7WJrtdbjdfTgFVFaG9ijKM//tWqbDAZWIlQAVzF8peWPj777mdPzhQ/Zz9GX72ZzsAAIBEaK+yXK7/+yPvm0/fMLESoLJsMLsAoMK5XC4FBASYXUa15+/vr2nTppldBlChnE6npkyZIkmaMGGCgoKCTK4IqFj+/v5ml1BhCO0AAKBGsdlscjgcZpcBVBp/f39+54EqjFtSVFF+fn5mlwBUKpvNZnYJQIXjsx0AAPwRob2KIsCgpuF3HjUBv+cAAOCPOD2+iuJ6PNQEXI+HmqY6X48HAAAuDaG9iuJ6PNQ0XI8HAACAmqjanB4/a9YsNW7cWAEBAerQoYO2bNlidkkAAAAAAJRJtQjtCxcu1Lhx4/T000/rm2++0fXXX6/ExERlZmaaXRoAAAAAAJesWpwe//LLL+uee+7RyJEjJUmzZ8/WsmXL9O677+rxxx83uTpUF4ZhyOl0ml1GjXL26+10OuXrWy0+sqoMf39/bowGoFywD6187EPNxT4U5clmGIZhdhFl4XQ6FRQUpA8//FB9+/b1tA8fPlzZ2dn65JNPis2Tn5+v/Px8z3ROTo4aNGigrKwshYaGVkbZqIKcTqeefvpps8sAKs2UKVO4MRqAcsE+FDUN+1CURk5OjiIjI3Xy5Mnz5tAq/5VbVlaWCgsLVbduXa/2unXras+ePSXOM336dM8dqc+WkpLC3alxToWFhWaXAFSqlStXysfHx+wyAFQD7ENR07APRWnk5eWValyVD+2XYsKECRo3bpxnuuhIe48ePTjSjnMyDEOJiYlml1GjGIahvLw8rV27Vt26deMb60rm5+fHqX0AygX70MrHPtRc7ENRGjk5OaUaV+VDe2RkpHx8fHTs2DGv9mPHjik6OrrEeRwOR4mPjvLz85Ofn1+F1InqgR1e5XM4HPL391dwcDDvTwCowtiHVj72oYC1lfZ9WeXvHu/v76+4uDitWrXK0+Z2u7Vq1SrFx8ebWBkAAAAAAGVT5Y+0S9K4ceM0fPhwtW3bVu3bt9crr7yi06dPe+4mDwAAAABAVVQtQvugQYP0yy+/aNKkScrIyFCrVq20YsWKYjenAwAAAACgKqkWoV2Sxo4dq7Fjx5pdBgAAAAAA5abKX9MOAAAAAEB1RWgHAAAAAMCiCO0AAAAAAFgUoR0AAAAAAIsitAMAAAAAYFGEdgAAAAAALIrQDgAAAACARRHaAQAAAACwKEI7AAAAAAAWRWgHAAAAAMCiCO0AAAAAAFgUoR0AAAAAAIsitAMAAAAAYFG+ZhdgBYZhSJJycnJMrgTAH7lcLuXl5SknJ0d+fn5mlwMAQJXBPhSwtqL8WZRHz4XQLik3N1eS1KBBA5MrAQAAAADUJLm5uQoLCztnv824UKyvAdxut44cOaKQkBDZbDazywFwlpycHDVo0ECHDx9WaGio2eUAAFBlsA8FrM0wDOXm5qpevXqy28995TpH2iXZ7XbVr1/f7DIAnEdoaCh/cAAAcAnYhwLWdb4j7EW4ER0AAAAAABZFaAcAAAAAwKII7QAszeFw6Omnn5bD4TC7FAAAqhT2oUD1wI3oAAAAAACwKI60AwAAAABgUYR2AAAAAAAsitAOAAAAAIBFEdoBVHuTJ09Wq1atKnw9jRs31iuvvFLh6wEA4GKtWbNGNptN2dnZFbqeESNGqG/fvhW6DqCmIbQDNdCIESNks9n0/PPPe7UnJyfLZrNd1LJKG1R37Nih22+/XVFRUQoICFDjxo01aNAgZWZmXtT6LsXf/vY3rVq1qsLXAwDAhfzyyy8aPXq0GjZsKIfDoejoaCUmJuqrr76q0PXecMMNOnr0qMLCwip0PQDKH6EdqKECAgL0wgsv6Ndff63wdf3yyy/605/+pIiICK1cuVLp6emaM2eO6tWrp9OnT1/ycp1OZ6nGBQcHq3bt2pe8HgAAykv//v317bffat68edq3b58+/fRTdenSRcePH7+k5RmGoYKCgguO8/f3V3R09EV/OQ/AfIR2oIbq1q2boqOjNX369POO++ijj3TNNdfI4XCocePG+vvf/+7p69Kli3788Uc9/PDDstls5/xD4KuvvtLJkyf19ttvq3Xr1mrSpIm6du2qmTNnqkmTJpKkuXPnKjw83Gu+Px75LzrN/e2331aTJk0UEBCgf/7zn6pXr57cbrfXvH369NFdd93lNZ8kpaSkKCAgoNjpgQ8++KASEhI8019++aU6deqkwMBANWjQQA888IDXFwyZmZm67bbbFBgYqCZNmuj9998/7+sIAEB2drbWr1+vF154QV27dlWjRo3Uvn17TZgwQbfffrsOHTokm82m7du3e81js9m0Zs0aSf93mvvy5csVFxcnh8Ohd999VzabTXv27PFa38yZM3XVVVd5zZedna2cnBwFBgZq+fLlXuOXLFmikJAQ5eXlSZIOHz6sgQMHKjw8XBEREerTp48OHTrkGV9YWKhx48YpPDxctWvX1qOPPiqeJg2UP0I7UEP5+Pjoueee0+uvv66ff/65xDHbtm3TwIEDNXjwYO3cuVOTJ0/WU089pblz50qSPv74Y9WvX19Tp07V0aNHdfTo0RKXEx0drYKCAi1ZsqTMO/Pvv/9eH330kT7++GNt375df/7zn3X8+HGtXr3aM+bEiRNasWKFkpKSis3/pz/9SeHh4froo488bYWFhVq4cKFn/IEDB9SzZ0/1799f3333nRYuXKgvv/xSY8eO9cwzYsQIHT58WKtXr9aHH36oN998s1JO9QcAVF3BwcEKDg5WcnKy8vPzy7Ssxx9/XM8//7zS09M1YMAAtW3bttgXyO+//77uvPPOYvOGhobq1ltv1YIFC4qN79u3r4KCguRyuZSYmKiQkBCtX79eX331lYKDg9WzZ0/PmW5///vfNXfuXL377rv68ssvdeLECS1ZsqRM2wWgBAaAGmf48OFGnz59DMMwjI4dOxp33XWXYRiGsWTJEuPsj4U777zT6N69u9e848ePN2JjYz3TjRo1MmbOnHnBdT7xxBOGr6+vERERYfTs2dOYMWOGkZGR4emfM2eOERYW5jXPH+t5+umnDT8/PyMzM9NrXJ8+fTzbYBiG8Y9//MOoV6+eUVhY6Jnv+uuv9/Q/+OCDRkJCgmd65cqVhsPhMH799VfDMAxj1KhRxr333uu1jvXr1xt2u9347bffjL179xqSjC1btnj609PTDUmlei0AADXXhx9+aFx22WVGQECAccMNNxgTJkwwduzYYRiGYRw8eNCQZHz77bee8b/++qshyVi9erVhGIaxevVqQ5KRnJzstdyZM2caV111lWe6aF+Vnp7uNV/Rvm7JkiVGcHCwcfr0acMwDOPkyZNGQECAsXz5csMwDGP+/PlG8+bNDbfb7Vlmfn6+ERgYaKxcudIwDMO4/PLLjRkzZnj6XS6XUb9+fc/fGADKB0fagRruhRde0Lx585Senl6sLz09XTfeeKNX24033qj9+/ersLDwotYzbdo0ZWRkaPbs2brmmms0e/ZsxcTEaOfOnRe1nEaNGqlOnTpebUlJSfroo488Ry3ef/99DR48WHZ7yR9xSUlJWrNmjY4cOeIZ37t3b8/p+Tt27NDcuXM9R0SCg4OVmJgot9utgwcPKj09Xb6+voqLi/MsMyYmptjp/QAA/FH//v115MgRffrpp+rZs6fWrFmjNm3aeM5iK622bdt6TQ8ePFiHDh3Spk2bJP2+b2vTpo1iYmJKnP+WW26Rn5+fPv30U0m/Xw4XGhqqbt26Sfp9X/j9998rJCTEsy+MiIjQmTNndODAAZ08eVJHjx5Vhw4dPMv09fUtVheAsiO0AzVc586dlZiYqAkTJlT4umrXrq0///nPeumll5Senq569erppZdekiTZ7fZip867XK5iy6hVq1axtttuu02GYWjZsmU6fPiw1q9fX+Kp8UXatWunq666Sh988IF+++03LVmyxGv8qVOn9Ne//lXbt2/3/OzYsUP79+/3XBsIAMClCggIUPfu3fXUU09pw4YNGjFihJ5++mnPl81n7w9L2hdKxfeH0dHRSkhI8JzyvmDBgvPuC/39/TVgwACv8YMGDZKvr6+k3/eFcXFxXvvC7du3a9++fSWecg+g4viaXQAA8z3//PNq1aqVmjdv7tXeokWLYo+g+eqrr9SsWTP5+PhI+n2nf7FH3Yvmu+qqqzw3d6tTp45yc3N1+vRpzx8iZ9+I53wCAgLUr18/vf/++/r+++/VvHlztWnT5rzzJCUl6f3331f9+vVlt9vVu3dvT1+bNm20e/duXX311SXOGxMTo4KCAm3btk3t2rWTJO3du7fCn30LAKieYmNjlZyc7DmT7OjRo2rdurWk0u8Lpd/3bY8++qiGDBmiH374QYMHD77g+O7du2vXrl1KS0vTs88+6+lr06aNFi5cqKioKIWGhpY4/+WXX67Nmzerc+fOkuTZN15oHwzg4nCkHYBatmyppKQkvfbaa17tjzzyiFatWqVnnnlG+/bt07x58/TGG2/ob3/7m2dM48aNtW7dOv3vf/9TVlZWictfunSp/vKXv2jp0qXat2+f9u7dq5deekmff/65+vTpI0nq0KGDgoKC9MQTT+jAgQNasGDBRZ0qmJSUpGXLlundd98975GFs8d/8803mjZtmgYMGCCHw+Hpe+yxx7RhwwaNHTtW27dv1/79+/XJJ594bkTXvHlz9ezZU3/961+1efNmbdu2TXfffbcCAwNLXS8AoOY5fvy4EhIS9N577+m7777TwYMHtXjxYs2YMUN9+vRRYGCgOnbs6LnB3Nq1azVx4sRSL79fv37Kzc3V6NGj1bVrV9WrV++84zt37qzo6GglJSWpSZMmXqe6JyUlKTIyUn369NH69et18OBBrVmzRg888IDnBrYPPvignn/+eSUnJ2vPnj267777+AIbqACEdgCSpKlTpxZ7bFqbNm20aNEiffDBB7r22ms1adIkTZ06VSNGjPCa79ChQ7rqqquKXWteJDY2VkFBQXrkkUfUqlUrdezYUYsWLdLbb7+toUOHSpIiIiL03nvv6fPPP1fLli31n//8R5MnTy51/QkJCYqIiNDevXtLddre1Vdfrfbt2+u7774rFvKvu+46rV27Vvv27VOnTp3UunVrTZo0yeuPn6LnzN98883q16+f7r33XkVFRZW6XgBAzRMcHKwOHTpo5syZ6ty5s6699lo99dRTuueee/TGG29Ikt59910VFBQoLi5ODz30kNfR7wsJCQnRbbfdph07dpTqC2ybzaYhQ4aUOD4oKEjr1q1Tw4YN1a9fP7Vo0UKjRo3SmTNnPEfeH3nkEQ0dOlTDhw9XfHy8QkJCdMcdd1zEKwKgNGzGHy8iBQAAAAAAlsCRdgAAAAAALIrQDgAAAACARRHaAQAAAACwKEI7AAAAAAAWRWgHAAAAAMCiCO0AAAAAAFgUoR0AAAAAAIsitAMAAAAAYFGEdgAAUGZr1qyRzWZTdnZ2ha5nxIgR6tu3b4WuAwAAKyG0AwBQjfzyyy8aPXq0GjZsKIfDoejoaCUmJuqrr76q0PXecMMNOnr0qMLCwip0PQAA1DS+ZhcAAADKT//+/eV0OjVv3jxdeeWVOnbsmFatWqXjx49f0vIMw1BhYaF8fc//J4O/v7+io6MvaR0AAODcONIOAEA1kZ2drfXr1+uFF15Q165d1ahRI7Vv314TJkzQ7bffrkOHDslms2n79u1e89hsNq1Zs0bS/53mvnz5csXFxcnhcOjdd9+VzWbTnj17vNY3c+ZMXXXVVV7zZWdnKycnR4GBgVq+fLnX+CVLligkJER5eXmSpMOHD2vgwIEKDw9XRESE+vTpo0OHDnnGFxYWaty4cQoPD1ft2rX16KOPyjCM8n/hAACwMEI7AADVRHBwsIKDg5WcnKz8/PwyLevxxx/X888/r/T0dA0YMEBt27bV+++/7zXm/fff15133lls3tDQUN16661asGBBsfF9+/ZVUFCQXC6XEhMTFRISovXr1+urr75ScHCwevbsKafTKUn6+9//rrlz5+rdd9/Vl19+qRMnTmjJkiVl2i4AAKoaQjsAANWEr6+v5s6dq3nz5ik8PFw33nijnnjiCX333XcXvaypU6eqe/fuuuqqqxQREaGkpCT95z//8fTv27dP27ZtU1JSUonzJyUlKTk52XNUPScnR8uWLfOMX7hwodxut95++221bNlSLVq00Jw5c/TTTz95jvq/8sormjBhgvr166cWLVpo9uzZXDMPAKhxCO0AAFQj/fv315EjR/Tpp5+qZ8+eWrNmjdq0aaO5c+de1HLatm3rNT148GAdOnRImzZtkvT7UfM2bdooJiamxPlvueUW+fn56dNPP5UkffTRRwoNDVW3bt0kSTt27ND333+vkJAQzxkCEREROnPmjA4cOKCTJ0/q6NGj6tChg2eZvr6+xeoCAKC6I7QDAFDNBAQEqHv37nrqqae0YcMGjRgxQk8//bTs9t93+2dfF+5yuUpcRq1atbymo6OjlZCQ4DnlfcGCBec8yi79fmO6AQMGeI0fNGiQ54Z2p06dUlxcnLZv3+71s2/fvhJPuQcAoKYitAMAUM3Fxsbq9OnTqlOnjiTp6NGjnr6zb0p3IUlJSVq4cKE2btyoH374QYMHD77g+BUrVmjXrl1KS0vzCvlt2rTR/v37FRUVpauvvtrrJywsTGFhYbr88su1efNmzzwFBQXatm1bqesFAKA6ILQDAFBNHD9+XAkJCXrvvff03Xff6eDBg1q8eLFmzJihPn36KDAwUB07dvTcYG7t2rWaOHFiqZffr18/5ebmavTo0eratavq1at33vGdO3dWdHS0kpKS1KRJE69T3ZOSkhQZGak+ffpo/fr1OnjwoNasWaMHHnhAP//8syTpwQcf1PPPP6/k5GTt2bNH9913n7Kzsy/ptQEAoKoitAMAUE0EBwerQ4cOmjlzpjp37qxrr71WTz31lO655x698cYbkqR3331XBQUFiouL00MPPaRnn3221MsPCQnRbbfdph07dpz31PgiNptNQ4YMKXF8UFCQ1q1bp4YNG3puNDdq1CidOXNGoaGhkqRHHnlEQ4cO1fDhwxUfH6+QkBDdcccdF/GKAABQ9dkMHngKAAAAAIAlcaQdAAAAAACLIrQDAAAAAGBRhHYAAAAAACyK0A4AAAAAgEUR2gEAAAAAsChCOwAAAAAAFkVoBwAAAADAogjtAAAAAABYFKEdAAAAAACLIrQDAAAAAGBRhHYAAAAAACzq/wNBU9FBK3s+8wAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Box plot of Fare by Survival Status\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.boxplot(data=train_df, x='Survived', y='Fare', palette='pastel')\n",
    "plt.title('Box Plot of Fare by Survival Status')\n",
    "plt.xlabel('Survived')\n",
    "plt.ylabel('Fare')\n",
    "plt.xticks([0, 1], ['Not Survived', 'Survived'])\n",
    "plt.grid(True)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4aaac130",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-26T06:10:10.850877Z",
     "iopub.status.busy": "2024-07-26T06:10:10.850476Z",
     "iopub.status.idle": "2024-07-26T06:10:17.888008Z",
     "shell.execute_reply": "2024-07-26T06:10:17.886721Z"
    },
    "papermill": {
     "duration": 7.052156,
     "end_time": "2024-07-26T06:10:17.892407",
     "exception": false,
     "start_time": "2024-07-26T06:10:10.840251",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  data_subset = grouped_data.get_group(pd_key)\n",
      "/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  data_subset = grouped_data.get_group(pd_key)\n",
      "/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  data_subset = grouped_data.get_group(pd_key)\n",
      "/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  data_subset = grouped_data.get_group(pd_key)\n",
      "/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  data_subset = grouped_data.get_group(pd_key)\n",
      "/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  data_subset = grouped_data.get_group(pd_key)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1072.11x1000 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot pair plot for key features\n",
    "sns.pairplot(train_df[['Age', 'SibSp', 'Parch', 'Fare', 'Survived']], hue='Survived', palette='pastel')\n",
    "plt.suptitle('Pair Plot of Key Features', y=1.02)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "25413f9e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-26T06:10:17.917963Z",
     "iopub.status.busy": "2024-07-26T06:10:17.917575Z",
     "iopub.status.idle": "2024-07-26T06:10:18.560494Z",
     "shell.execute_reply": "2024-07-26T06:10:18.559279Z"
    },
    "papermill": {
     "duration": 0.6586,
     "end_time": "2024-07-26T06:10:18.563030",
     "exception": false,
     "start_time": "2024-07-26T06:10:17.904430",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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qSp6eno4vPsrycwkA+HM4PR4A4BKTJk2Sj4+PRowYofT09ELzDx8+rJdfflmSdNttt0n67U7uv/fiiy9Kkvr06eNoa9SokdM1vJI0f/78ix5pLw4fH58ig29RbrvtNuXn5+vVV191an/ppZfk5uZWoiO4xeXh4VHoDIG5c+cW+Vi13/P19VXjxo0dR19zcnKcHl0m/fa++vn5OfpER0fL399fM2fOlN1uL1RLSZ4jHh0dLbvdrjfeeMPRVlBQoMTERKd+tWrVUteuXfWPf/yjyC9jirPt/Px8p0sGLqy3Tp06hR4jeDF/rGvu3LmSVOjfePDgwfr111/10EMP6fTp03rwwQcvu+60tDTt37+/UHteXp7Wr1/vdLnIwIEDlZKSorVr1xbqn5mZqfPnzzumR44cqYKCAr311luaP3++qlSpouHDhxt5ZgkA4DccaQcAuESjRo20bNky3XvvvWrevLmGDBmiFi1aKC8vT1u2bNHy5csdz1Vv1aqVYmJiNH/+fGVmZqpLly7avn27Fi9erH79+qlbt26O9Y4YMUIPP/ywBgwYoF69emn37t1au3at47rvkmjXrp1ef/11Pf3002rcuLFq1aql7t27F9m3b9++6tatm/7+97/ryJEjatWqlZKSkvThhx9q/PjxjiPUZeH222/X22+/rYCAAEVERCglJUXr1q1TjRo1nPpFRESoa9euateunYKCgrRz507Ho88k6dtvv1WPHj00cOBARUREqEqVKvrggw+Unp7uuJba399fr7/+ugYPHqy2bdtq0KBBCg4OVmpqqlauXKlOnToV+uLicvr166cbb7xRjzzyiA4dOqRmzZrpo48+0smTJyU5n/GQmJiozp07q2XLlho5cqQaNmyo9PR0paSk6KefftLu3bsvua3s7GzVrVtXd999t1q1aiVfX1+tW7dOO3bscDpT4VK+//573XHHHbr11luVkpKipUuX6v777y/0bPY2bdqoRYsWWr58uZo3b16sx8n99NNPuvHGG9W9e3f16NFDoaGhysjI0L/+9S/t3r1b48ePd3ymJ06cqI8++ki33367hg4dqnbt2unMmTPas2eP3n33XR05ckQ1a9bUwoULtXLlSi1atMjxrPq5c+fqwQcf1Ouvv64xY8YUa9wAgHLmylvXAwDw7bffWiNHjrQaNGhgeXp6Wn5+flanTp2suXPnOj3Oy263W9OmTbPCw8Mtm81m1atXz5o8ebJTH8v67RFhjz32mFWzZk2rWrVqVnR0tHXo0KGLPvJtx44dTstv3LjRkmRt3LjR0ZaWlmb16dPH8vPzsyRd9vFv2dnZ1oQJE6w6depYNpvNatKkifXcc885PVrOsq78kW+X6/vrr79aw4YNs2rWrGn5+vpa0dHR1jfffFNo7E8//bR14403WoGBgVbVqlWtZs2aWc8884yVl5dnWZZlHT9+3IqNjbWaNWtm+fj4WAEBAVaHDh2s//znP4W2uXHjRis6OtoKCAiwvL29rUaNGllDhw61du7c6egTExNj+fj4FFr2wqPTfu/YsWPW/fffb/n5+VkBAQHW0KFDrc8//9ySZL3zzjtOfQ8fPmwNGTLECg0NtWw2m3XNNddYt99+u/Xuu+86+lzs3zk3N9eaOHGi1apVK8vPz8/y8fGxWrVqZb322muXfI9/X/f+/futu+++2/Lz87OqV69ujR071jp79myRy8yePduSZM2cOfOy67csy8rKyrJefvllKzo62qpbt65ls9ksPz8/KzIy0nrjjTcKfZays7OtyZMnW40bN7Y8PT2tmjVrWjfddJP1/PPPW3l5edaPP/5oBQQEOB4P+Hv9+/e3fHx8rO+++65YtQEAypebZXE+FAAAMNeKFSvUv39/ffbZZ+rUqZOryymRl19+WRMmTNCRI0cKPbEAAIBLIbQDAABjnD171ulO7/n5+YqKitLOnTuVlpZWIR9PZlmWWrVqpRo1ahT5/HoAAC6Fa9oBAIAx4uLidPbsWUVGRio3N1fvv/++tmzZopkzZ1a4wH7mzBl99NFH2rhxo/bs2aMPP/zQ1SUBACogjrQDAABjLFu2TC+88IIOHTqkc+fOqXHjxho9erTjJnkVyZEjRxQeHq7AwECNGTNGzzzzjKtLAgBUQIR2AAAAAAAMxXPaAQAAAAAwFKEdAAAAAABDcSM6SQUFBfrll1/k5+cnNzc3V5cDAAAAAKjkLMtSdna26tSpI3f3SxxPd9UD4i/46aefrAceeMAKCgqyvL29rRYtWlg7duxwzC8oKLCefPJJKzQ01PL29rZ69Ohhffvtt07rOHHihHX//fdbfn5+VkBAgPWXv/zFys7OLnYNP/74oyWJFy9evHjx4sWLFy9evHjxKtfXjz/+eMm86tIj7b/++qs6deqkbt26afXq1QoODtbBgwdVvXp1R5/Zs2frlVde0eLFixUeHq4nn3xS0dHR2r9/v7y9vSVJDzzwgI4ePark5GTZ7XYNGzZMo0aN0rJly4pVh5+fnyTpxx9/lL+/f+kPFECJ2e12JSUlKSoqSjabzdXlAABQYbAPBcyWlZWlevXqOfLoxbg0tM+aNUv16tXTwoULHW3h4eGOv1uWpTlz5uiJJ57QnXfeKUlasmSJQkJCtGLFCg0aNEhff/211qxZox07dqh9+/aSpLlz5+q2227T888/rzp16ly2jgunxPv7+xPaAcPY7XZVq1ZN/v7+/IcDAIArwD4UqBgud4m2S0P7Rx99pOjoaN1zzz3avHmzrrnmGo0ZM0YjR46UJH3//fdKS0tTz549HcsEBASoQ4cOSklJ0aBBg5SSkqLAwEBHYJeknj17yt3dXdu2bVP//v0LbTc3N1e5ubmO6aysLEm//WKz2+1lNVwAJXDhZ5KfTQAArgz7UMBsxf3ZdGlo/+677/T6668rPj5ejz/+uHbs2KFx48bJ09NTMTExSktLkySFhIQ4LRcSEuKYl5aWplq1ajnNr1KlioKCghx9/ighIUHTpk0r1J6UlKRq1aqVxtAAlLLk5GRXlwAAQIXEPhQwU05OTrH6uTS0FxQUqH379po5c6YkqU2bNtq7d6/mzZunmJiYMtvu5MmTFR8f75i+cC1BVFQUp8cDhrHb7UpOTlavXr04tQ8AgCvAPhQw24Uzvi/HpaG9du3aioiIcGpr3ry53nvvPUlSaGioJCk9PV21a9d29ElPT1fr1q0dfTIyMpzWcf78eZ08edKx/B95eXnJy8urULvNZuMXGmAofj4BACgZ9qGAmYr7c3mJh8GVvU6dOunAgQNObd9++63CwsIk/XZTutDQUK1fv94xPysrS9u2bVNkZKQkKTIyUpmZmdq1a5ejz4YNG1RQUKAOHTqUwygAAAAAACgbLj3SPmHCBN10002aOXOmBg4cqO3bt2v+/PmaP3++pN/uojd+/Hg9/fTTatKkieORb3Xq1FG/fv0k/XZk/tZbb9XIkSM1b9482e12jR07VoMGDSrWneMBAAAAADCVS0P7DTfcoA8++ECTJ0/W9OnTFR4erjlz5uiBBx5w9Jk0aZLOnDmjUaNGKTMzU507d9aaNWscz2iXpH/+858aO3asevToIXd3dw0YMECvvPKKK4YEAAAAAECpcbMsy3J1Ea6WlZWlgIAAnTp1ihvRAYax2+1atWqVbrvtNq7HAwDgCrAPBcxW3Bzq0mvaAQAAAADAxRHaAQAAAAAwFKEdAAAAAABDEdoBAAAAADAUoR0AAAAAAEMR2gEAAAAAMBShHQAAAAAAQxHaAQAAAAAwFKEdAAAAAABDEdoBAAAAADAUoR0AAAAAAENVcXUB+HNufmiGq0sAypRnFXeNi2qhW8fPVt75AleXA5SZT//xpKtLAAAABuJIOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYCiXhvapU6fKzc3N6dWsWTPH/HPnzik2NlY1atSQr6+vBgwYoPT0dKd1pKamqk+fPqpWrZpq1aqliRMn6vz58+U9FAAAAAAASl0VVxdw3XXXad26dY7pKlX+f0kTJkzQypUrtXz5cgUEBGjs2LG666679Pnnn0uS8vPz1adPH4WGhmrLli06evSohgwZIpvNppkzZ5b7WAAAAAAAKE0uD+1VqlRRaGhoofZTp07prbfe0rJly9S9e3dJ0sKFC9W8eXNt3bpVHTt2VFJSkvbv369169YpJCRErVu31owZM/TYY49p6tSp8vT0LHKbubm5ys3NdUxnZWVJkux2u+x2exmMsux4VuEKB1Runh7uTn8ClVVF2/8AMN+F3yv8fgHMVNyfTZeH9oMHD6pOnTry9vZWZGSkEhISVL9+fe3atUt2u109e/Z09G3WrJnq16+vlJQUdezYUSkpKWrZsqVCQkIcfaKjozV69Gjt27dPbdq0KXKbCQkJmjZtWqH2pKQkVatWrfQHWYbGRbVwdQlAuXi4R4SrSwDK1KpVq1xdAoBKKjk52dUlAChCTk5Osfq5NLR36NBBixYtUtOmTXX06FFNmzZNN998s/bu3au0tDR5enoqMDDQaZmQkBClpaVJktLS0pwC+4X5F+ZdzOTJkxUfH++YzsrKUr169RQVFSV/f/9SGl35uHX8bFeXAJQpTw93PdwjQvPW71defoGrywHKzJo5k1xdAoBKxm63Kzk5Wb169ZLNZnN1OQD+4MIZ35fj0tDeu3dvx9+vv/56dejQQWFhYfrPf/6jqlWrltl2vby85OXlVajdZrNVuF9oeecJMbg65OUX8HlHpVbR9j8AKo6K+H9c4GpQ3J9Loy4SDQwM1LXXXqtDhw4pNDRUeXl5yszMdOqTnp7uuAY+NDS00N3kL0wXdZ08AAAAAAAViVGh/fTp0zp8+LBq166tdu3ayWazaf369Y75Bw4cUGpqqiIjIyVJkZGR2rNnjzIyMhx9kpOT5e/vr4gIrn8FAAAAAFRsLj09/tFHH1Xfvn0VFhamX375RVOmTJGHh4fuu+8+BQQEaPjw4YqPj1dQUJD8/f0VFxenyMhIdezYUZIUFRWliIgIDR48WLNnz1ZaWpqeeOIJxcbGFnn6OwAAAAAAFYlLQ/tPP/2k++67TydOnFBwcLA6d+6srVu3Kjg4WJL00ksvyd3dXQMGDFBubq6io6P12muvOZb38PDQxx9/rNGjRysyMlI+Pj6KiYnR9OnTXTUkAAAAAABKjUtD+zvvvHPJ+d7e3kpMTFRiYuJF+4SFhfGYHAAAAABApWTUNe0AAAAAAOD/I7QDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhiK0AwAAAABgKEI7AAAAAACGIrQDAAAAAGAoQjsAAAAAAIYitAMAAAAAYChCOwAAAAAAhjImtD/77LNyc3PT+PHjHW3nzp1TbGysatSoIV9fXw0YMEDp6elOy6WmpqpPnz6qVq2aatWqpYkTJ+r8+fPlXD0AAAAAAKXPiNC+Y8cO/eMf/9D111/v1D5hwgT997//1fLly7V582b98ssvuuuuuxzz8/Pz1adPH+Xl5WnLli1avHixFi1apKeeeqq8hwAAAAAAQKlzeWg/ffq0HnjgAb3xxhuqXr26o/3UqVN666239OKLL6p79+5q166dFi5cqC1btmjr1q2SpKSkJO3fv19Lly5V69at1bt3b82YMUOJiYnKy8tz1ZAAAAAAACgVVVxdQGxsrPr06aOePXvq6aefdrTv2rVLdrtdPXv2dLQ1a9ZM9evXV0pKijp27KiUlBS1bNlSISEhjj7R0dEaPXq09u3bpzZt2hS5zdzcXOXm5jqms7KyJEl2u112u720h1imPKu4/HsXoEx5erg7/QlUVhVt/wPAfBd+r/D7BTBTcX82XRra33nnHX3xxRfasWNHoXlpaWny9PRUYGCgU3tISIjS0tIcfX4f2C/MvzDvYhISEjRt2rRC7UlJSapWrdqVDsOlxkW1cHUJQLl4uEeEq0sAytSqVatcXQKASio5OdnVJQAoQk5OTrH6uSy0//jjj/rrX/+q5ORkeXt7l+u2J0+erPj4eMd0VlaW6tWrp6ioKPn7+5drLX/WreNnu7oEoEx5erjr4R4Rmrd+v/LyC1xdDlBm1syZ5OoSAFQydrtdycnJ6tWrl2w2m6vLAfAHF874vhyXhfZdu3YpIyNDbdu2dbTl5+frk08+0auvvqq1a9cqLy9PmZmZTkfb09PTFRoaKkkKDQ3V9u3bndZ74e7yF/oUxcvLS15eXoXabTZbhfuFlneeEIOrQ15+AZ93VGoVbf8DoOKoiP/HBa4Gxf25dNlFoj169NCePXv01VdfOV7t27fXAw884Pi7zWbT+vXrHcscOHBAqampioyMlCRFRkZqz549ysjIcPRJTk6Wv7+/IiI4lRYAAAAAULG57Ei7n5+fWrRwvh7bx8dHNWrUcLQPHz5c8fHxCgoKkr+/v+Li4hQZGamOHTtKkqKiohQREaHBgwdr9uzZSktL0xNPPKHY2Ngij6QDAAAAAFCRuPzu8Zfy0ksvyd3dXQMGDFBubq6io6P12muvOeZ7eHjo448/1ujRoxUZGSkfHx/FxMRo+vTpLqwaAAAAAIDSYVRo37Rpk9O0t7e3EhMTlZiYeNFlwsLCuOMuAAAAAKBS4sHHAAAAAAAYitAOAAAAAIChCO0AAAAAABiK0A4AAAAAgKEI7QAAAAAAGIrQDgAAAACAoQjtAAAAAAAYitAOAAAAAIChCO0AAAAAABiK0A4AAAAAgKEI7QAAAAAAGIrQDgAAAACAoQjtAAAAAAAYitAOAAAAAIChCO0AAAAAABiK0A4AAAAAgKEI7QAAAAAAGIrQDgAAAACAoQjtAAAAAAAYitAOAAAAAIChCO0AAAAAABiK0A4AAAAAgKEI7QAAAAAAGIrQDgAAAACAoQjtAAAAAAAYitAOAAAAAIChCO0AAAAAABiK0A4AAAAAgKEI7QAAAAAAGIrQDgAAAACAoQjtAAAAAAAYitAOAAAAAIChCO0AAAAAABiK0A4AAAAAgKEI7QAAAAAAGIrQDgAAAACAoQjtAAAAAAAYitAOAAAAAIChCO0AAAAAABiK0A4AAAAAgKEI7QAAAAAAGIrQDgAAAACAoQjtAAAAAAAYitAOAAAAAIChCO0AAAAAABiK0A4AAAAAgKEI7QAAAAAAGIrQDgAAAACAoQjtAAAAAAAYqkShvWHDhjpx4kSh9szMTDVs2PBPFwUAAAAAAEoY2o8cOaL8/PxC7bm5ufr555//dFEAAAAAAECqciWdP/roI8ff165dq4CAAMd0fn6+1q9frwYNGpRacQAAAAAAXM2uKLT369dPkuTm5qaYmBineTabTQ0aNNALL7xQasUBAAAAAHA1u6LQXlBQIEkKDw/Xjh07VLNmzTIpCgAAAAAAXGFov+D7778v7ToAAAAAAMAflCi0S9L69eu1fv16ZWRkOI7AX7BgwYI/XRgAAAAAAFe7EoX2adOmafr06Wrfvr1q164tNze30q4LAAAAAICrXolC+7x587Ro0SINHjy4tOsBAAAAAAD/p0ShPS8vTzfddFNp1wIAAFBuot6Z7OoSgDJlk4dGVb1B/d6bJrvyXV0OUGaSBiW4uoQy5V6ShUaMGKFly5aVdi0AAAAAAOB3SnSk/dy5c5o/f77WrVun66+/XjabzWn+iy++WCrFAQAAAABwNStRaP/f//6n1q1bS5L27t3rNI+b0gEAAAAAUDpKFNo3btxY2nUAAAAAAIA/KNE17QAAAAAAoOyV6Eh7t27dLnka/IYNG0pcEAAAAAAA+E2JjrS3bt1arVq1crwiIiKUl5enL774Qi1btiz2el5//XVdf/318vf3l7+/vyIjI7V69WrH/HPnzik2NlY1atSQr6+vBgwYoPT0dKd1pKamqk+fPqpWrZpq1aqliRMn6vz58yUZFgAAAAAARinRkfaXXnqpyPapU6fq9OnTxV5P3bp19eyzz6pJkyayLEuLFy/WnXfeqS+//FLXXXedJkyYoJUrV2r58uUKCAjQ2LFjddddd+nzzz+XJOXn56tPnz4KDQ3Vli1bdPToUQ0ZMkQ2m00zZ84sydAAAAAAADBGqV7T/uCDD2rBggXF7t+3b1/ddtttatKkia699lo988wz8vX11datW3Xq1Cm99dZbevHFF9W9e3e1a9dOCxcu1JYtW7R161ZJUlJSkvbv36+lS5eqdevW6t27t2bMmKHExETl5eWV5tAAAAAAACh3JTrSfjEpKSny9vYu0bL5+flavny5zpw5o8jISO3atUt2u109e/Z09GnWrJnq16+vlJQUdezYUSkpKWrZsqVCQkIcfaKjozV69Gjt27dPbdq0KXJbubm5ys3NdUxnZWVJkux2u+x2e4nqdxXPKtxLEJWbp4e7059AZVXR9j+VgU0eri4BKFO2/zs+Z+Pe06jkKuo+tLh1lyi033XXXU7TlmXp6NGj2rlzp5588skrWteePXsUGRmpc+fOydfXVx988IEiIiL01VdfydPTU4GBgU79Q0JClJaWJklKS0tzCuwX5l+YdzEJCQmaNm1aofakpCRVq1btiup3tXFRLVxdAlAuHu4R4eoSgDK1atUqV5dw1RlV9QZXlwCUi2FV27m6BKBMVdR9aE5OTrH6lSi0BwQEOE27u7uradOmmj59uqKioq5oXU2bNtVXX32lU6dO6d1331VMTIw2b95ckrKKbfLkyYqPj3dMZ2VlqV69eoqKipK/v3+Zbru03Tp+tqtLAMqUp4e7Hu4RoXnr9ysvv8DV5QBlZs2cSa4u4arT773CX+ADlYlN7hpWtZ0Wnt0lu9iHovJaMWCKq0sokQtnfF9OiUL7woULS7JYkTw9PdW4cWNJUrt27bRjxw69/PLLuvfee5WXl6fMzEyno+3p6ekKDQ2VJIWGhmr79u1O67twd/kLfYri5eUlLy+vQu02m002m+3PDqlc5Z3nFzCuDnn5BXzeUalVtP1PZWBXvqtLAMqFXQV83lGpVdR9aHHr/lMXuOzatUtLly7V0qVL9eWXX/6ZVTkUFBQoNzdX7dq1k81m0/r16x3zDhw4oNTUVEVGRkqSIiMjtWfPHmVkZDj6JCcny9/fXxERnEoLAAAAAKjYSnSkPSMjQ4MGDdKmTZscR8EzMzPVrVs3vfPOOwoODi7WeiZPnqzevXurfv36ys7O1rJly7Rp0yatXbtWAQEBGj58uOLj4xUUFCR/f3/FxcUpMjJSHTt2lCRFRUUpIiJCgwcP1uzZs5WWlqYnnnhCsbGxRR5JBwAAAACgIinRkfa4uDhlZ2dr3759OnnypE6ePKm9e/cqKytL48aNK/Z6MjIyNGTIEDVt2lQ9evTQjh07tHbtWvXq1UvSb8+Dv/322zVgwADdcsstCg0N1fvvv+9Y3sPDQx9//LE8PDwUGRmpBx98UEOGDNH06dNLMiwAAAAAAIxSoiPta9as0bp169S8eXNHW0REhBITE6/oRnRvvfXWJed7e3srMTFRiYmJF+0TFhZWYe8WCAAAAADApZToSHtBQUGRF83bbDYVFHCjKAAAAAAASkOJQnv37t3117/+Vb/88ouj7eeff9aECRPUo0ePUisOAAAAAICrWYlC+6uvvqqsrCw1aNBAjRo1UqNGjRQeHq6srCzNnTu3tGsEAAAAAOCqVKJr2uvVq6cvvvhC69at0zfffCNJat68uXr27FmqxQEAAAAAcDW7oiPtGzZsUEREhLKysuTm5qZevXopLi5OcXFxuuGGG3Tdddfp008/LataAQAAAAC4qlxRaJ8zZ45Gjhwpf3//QvMCAgL00EMP6cUXXyy14gAAAAAAuJpdUWjfvXu3br311ovOj4qK0q5du/50UQAAAAAA4ApDe3p6epGPerugSpUqOnbs2J8uCgAAAAAAXGFov+aaa7R3796Lzv/f//6n2rVr/+miAAAAAADAFYb22267TU8++aTOnTtXaN7Zs2c1ZcoU3X777aVWHAAAAAAAV7MreuTbE088offff1/XXnutxo4dq6ZNm0qSvvnmGyUmJio/P19///vfy6RQAAAAAACuNlcU2kNCQrRlyxaNHj1akydPlmVZkiQ3NzdFR0crMTFRISEhZVIoAAAAAABXmysK7ZIUFhamVatW6ddff9WhQ4dkWZaaNGmi6tWrl0V9AAAAAABcta44tF9QvXp13XDDDaVZCwAAAAAA+J0ruhEdAAAAAAAoP4R2AAAAAAAMRWgHAAAAAMBQhHYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQhHYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQhHYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQhHYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQhHYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQhHYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQhHYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQhHYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQLg3tCQkJuuGGG+Tn56datWqpX79+OnDggFOfc+fOKTY2VjVq1JCvr68GDBig9PR0pz6pqanq06ePqlWrplq1amnixIk6f/58eQ4FAAAAAIBS59LQvnnzZsXGxmrr1q1KTk6W3W5XVFSUzpw54+gzYcIE/fe//9Xy5cu1efNm/fLLL7rrrrsc8/Pz89WnTx/l5eVpy5YtWrx4sRYtWqSnnnrKFUMCAAAAAKDUVHHlxtesWeM0vWjRItWqVUu7du3SLbfcolOnTumtt97SsmXL1L17d0nSwoUL1bx5c23dulUdO3ZUUlKS9u/fr3Xr1ikkJEStW7fWjBkz9Nhjj2nq1Kny9PR0xdAAAAAAAPjTXBra/+jUqVOSpKCgIEnSrl27ZLfb1bNnT0efZs2aqX79+kpJSVHHjh2VkpKili1bKiQkxNEnOjpao0eP1r59+9SmTZtC28nNzVVubq5jOisrS5Jkt9tlt9vLZGxlxbMKtyVA5ebp4e70J1BZVbT9T2Vgk4erSwDKlO3/Tqq1cRsrVHIVdR9a3LqNCe0FBQUaP368OnXqpBYtWkiS0tLS5OnpqcDAQKe+ISEhSktLc/T5fWC/MP/CvKIkJCRo2rRphdqTkpJUrVq1PzuUcjUuqoWrSwDKxcM9IlxdAlCmVq1a5eoSrjqjqt7g6hKAcjGsajtXlwCUqYq6D83JySlWP2NCe2xsrPbu3avPPvuszLc1efJkxcfHO6azsrJUr149RUVFyd/fv8y3X5puHT/b1SUAZcrTw10P94jQvPX7lZdf4OpygDKzZs4kV5dw1en3XuEv8IHKxCZ3DavaTgvP7pJd7ENRea0YMMXVJZTIhTO+L8eI0D527Fh9/PHH+uSTT1S3bl1He2hoqPLy8pSZmel0tD09PV2hoaGOPtu3b3da34W7y1/o80deXl7y8vIq1G6z2WSz2f7scMpV3nl+AePqkJdfwOcdlVpF2/9UBnblu7oEoFzYVcDnHZVaRd2HFrdul17gYlmWxo4dqw8++EAbNmxQeHi40/x27drJZrNp/fr1jrYDBw4oNTVVkZGRkqTIyEjt2bNHGRkZjj7Jycny9/dXRASn0wIAAAAAKi6XHmmPjY3VsmXL9OGHH8rPz89xDXpAQICqVq2qgIAADR8+XPHx8QoKCpK/v7/i4uIUGRmpjh07SpKioqIUERGhwYMHa/bs2UpLS9MTTzyh2NjYIo+mAwAAAABQUbg0tL/++uuSpK5duzq1L1y4UEOHDpUkvfTSS3J3d9eAAQOUm5ur6Ohovfbaa46+Hh4e+vjjjzV69GhFRkbKx8dHMTExmj59enkNAwAAAACAMuHS0G5Z1mX7eHt7KzExUYmJiRftExYWVmHvGAgAAAAAwMXw0EYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQhHYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQhHYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQhHYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQhHYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQhHYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQhHYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQhHYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQhHYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQhHYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQhHYAAAAAAAxFaAcAAAAAwFCEdgAAAAAADEVoBwAAAADAUIR2AAAAAAAMRWgHAAAAAMBQLg3tn3zyifr27as6derIzc1NK1ascJpvWZaeeuop1a5dW1WrVlXPnj118OBBpz4nT57UAw88IH9/fwUGBmr48OE6ffp0OY4CAAAAAICy4dLQfubMGbVq1UqJiYlFzp89e7ZeeeUVzZs3T9u2bZOPj4+io6N17tw5R58HHnhA+/btU3Jysj7++GN98sknGjVqVHkNAQAAAACAMlPFlRvv3bu3evfuXeQ8y7I0Z84cPfHEE7rzzjslSUuWLFFISIhWrFihQYMG6euvv9aaNWu0Y8cOtW/fXpI0d+5c3XbbbXr++edVp06dItedm5ur3Nxcx3RWVpYkyW63y263l+YQy5xnFa5wQOXm6eHu9CdQWVW0/U9lYJOHq0sAypTt/47P2bgiFpVcRd2HFrdul4b2S/n++++Vlpamnj17OtoCAgLUoUMHpaSkaNCgQUpJSVFgYKAjsEtSz5495e7urm3btql///5FrjshIUHTpk0r1J6UlKRq1aqV/mDK0LioFq4uASgXD/eIcHUJQJlatWqVq0u46oyqeoOrSwDKxbCq7VxdAlCmKuo+NCcnp1j9jA3taWlpkqSQkBCn9pCQEMe8tLQ01apVy2l+lSpVFBQU5OhTlMmTJys+Pt4xnZWVpXr16ikqKkr+/v6lNYRycev42a4uAShTnh7uerhHhOat36+8/AJXlwOUmTVzJrm6hKtOv/cKf4EPVCY2uWtY1XZaeHaX7GIfisprxYApri6hRC6c8X05xob2suTl5SUvL69C7TabTTabzQUVlVzeeX4B4+qQl1/A5x2VWkXb/1QGduW7ugSgXNhVwOcdlVpF3YcWt25jL3AJDQ2VJKWnpzu1p6enO+aFhoYqIyPDaf758+d18uRJRx8AAAAAACoqY0N7eHi4QkNDtX79ekdbVlaWtm3bpsjISElSZGSkMjMztWvXLkefDRs2qKCgQB06dCj3mgEAAAAAKE0uPT3+9OnTOnTokGP6+++/11dffaWgoCDVr19f48eP19NPP60mTZooPDxcTz75pOrUqaN+/fpJkpo3b65bb71VI0eO1Lx582S32zV27FgNGjTooneOBwAAAACgonBpaN+5c6e6devmmL5wc7iYmBgtWrRIkyZN0pkzZzRq1ChlZmaqc+fOWrNmjby9vR3L/POf/9TYsWPVo0cPubu7a8CAAXrllVfKfSwAAAAAAJQ2l4b2rl27yrKsi853c3PT9OnTNX369Iv2CQoK0rJly8qiPAAAAAAAXMrYa9oBAAAAALjaEdoBAAAAADAUoR0AAAAAAEMR2gEAAAAAMBShHQAAAAAAQxHaAQAAAAAwFKEdAAAAAABDEdoBAAAAADAUoR0AAAAAAEMR2gEAAAAAMBShHQAAAAAAQxHaAQAAAAAwFKEdAAAAAABDEdoBAAAAADAUoR0AAAAAAEMR2gEAAAAAMBShHQAAAAAAQxHaAQAAAAAwFKEdAAAAAABDEdoBAAAAADAUoR0AAAAAAEMR2gEAAAAAMBShHQAAAAAAQxHaAQAAAAAwFKEdAAAAAABDEdoBAAAAADAUoR0AAAAAAEMR2gEAAAAAMBShHQAAAAAAQxHaAQAAAAAwFKEdAAAAAABDEdoBAAAAADAUoR0AAAAAAEMR2gEAAAAAMBShHQAAAAAAQxHaAQAAAAAwFKEdAAAAAABDEdoBAAAAADAUoR0AAAAAAEMR2gEAAAAAMBShHQAAAAAAQxHaAQAAAAAwFKEdAAAAAABDEdoBAAAAADAUoR0AAAAAAEMR2gEAAAAAMBShHQAAAAAAQxHaAQAAAAAwFKEdAAAAAABDEdoBAAAAADAUoR0AAAAAAEMR2gEAAAAAMBShHQAAAAAAQxHaAQAAAAAwFKEdAAAAAABDEdoBAAAAADAUoR0AAAAAAEMR2gEAAAAAMBShHQAAAAAAQxHaAQAAAAAwFKEdAAAAAABDEdoBAAAAADAUoR0AAAAAAEMR2gEAAAAAMBShHQAAAAAAQ1Wa0J6YmKgGDRrI29tbHTp00Pbt211dEgAAAAAAf0qlCO3//ve/FR8frylTpuiLL75Qq1atFB0drYyMDFeXBgAAAABAiVWK0P7iiy9q5MiRGjZsmCIiIjRv3jxVq1ZNCxYscHVpAAAAAACUWBVXF/Bn5eXladeuXZo8ebKjzd3dXT179lRKSkqRy+Tm5io3N9cxferUKUnSyZMnZbfby7bgUuZekOfqEoAy5Z7vrpycHLnn58m9oMDV5QBl5sSJE64u4eqTc97VFQBlrEA5Vo501i6JfSgqr4q6D83OzpYkWZZ1yX4VPrQfP35c+fn5CgkJcWoPCQnRN998U+QyCQkJmjZtWqH28PDwMqkRwJ+z7h+urgAoezXffNrVJQCohFa5ugCgHNQc/ryrS/hTsrOzFRAQcNH5FT60l8TkyZMVHx/vmC4oKNDJkydVo0YNubm5ubAyAH+UlZWlevXq6ccff5S/v7+rywEAoMJgHwqYzbIsZWdnq06dOpfsV+FDe82aNeXh4aH09HSn9vT0dIWGhha5jJeXl7y8vJzaAgMDy6pEAKXA39+f/3AAAFAC7EMBc13qCPsFFf5GdJ6enmrXrp3Wr1/vaCsoKND69esVGRnpwsoAAAAAAPhzKvyRdkmKj49XTEyM2rdvrxtvvFFz5szRmTNnNGzYMFeXBgAAAABAiVWK0H7vvffq2LFjeuqpp5SWlqbWrVtrzZo1hW5OB6Di8fLy0pQpUwpd0gIAAC6NfShQObhZl7u/PAAAAAAAcIkKf007AAAAAACVFaEdAAAAAABDEdoBAAAAADAUoR1AhTR06FD169fP1WUAAFAqLMvSqFGjFBQUJDc3N3311VcuqePIkSMu3T6AwirF3eMBAACAimzNmjVatGiRNm3apIYNG6pmzZquLgmAIQjtAAAAgIsdPnxYtWvX1k033eTqUgAYhtPjAZS5rl27Ki4uTuPHj1f16tUVEhKiN954Q2fOnNGwYcPk5+enxo0ba/Xq1ZKk/Px8DR8+XOHh4apataqaNm2ql19++ZLbKCgoUEJCgmOZVq1a6d133y2P4QEA8KcMHTpUcXFxSk1NlZubmxo0aHDZ/dqmTZvk5uamtWvXqk2bNqpataq6d++ujIwMrV69Ws2bN5e/v7/uv/9+5eTkOJZbs2aNOnfurMDAQNWoUUO33367Dh8+fMn69u7dq969e8vX11chISEaPHiwjh8/XmbvBwBnhHYA5WLx4sWqWbOmtm/frri4OI0ePVr33HOPbrrpJn3xxReKiorS4MGDlZOTo4KCAtWtW1fLly/X/v379dRTT+nxxx/Xf/7zn4uuPyEhQUuWLNG8efO0b98+TZgwQQ8++KA2b95cjqMEAODKvfzyy5o+fbrq1q2ro0ePaseOHcXer02dOlWvvvqqtmzZoh9//FEDBw7UnDlztGzZMq1cuVJJSUmaO3euo/+ZM2cUHx+vnTt3av369XJ3d1f//v1VUFBQZG2ZmZnq3r272rRpo507d2rNmjVKT0/XwIEDy/Q9AfD/uVmWZbm6CACVW9euXZWfn69PP/1U0m9H0gMCAnTXXXdpyZIlkqS0tDTVrl1bKSkp6tixY6F1jB07VmlpaY6jDEOHDlVmZqZWrFih3NxcBQUFad26dYqMjHQsM2LECOXk5GjZsmXlMEoAAEpuzpw5mjNnjo4cOVKs/dqmTZvUrVs3rVu3Tj169JAkPfvss5o8ebIOHz6shg0bSpIefvhhHTlyRGvWrClyu8ePH1dwcLD27NmjFi1a6MiRIwoPD9eXX36p1q1b6+mnn9ann36qtWvXOpb56aefVK9ePR04cEDXXnttGb4rACSuaQdQTq6//nrH3z08PFSjRg21bNnS0RYSEiJJysjIkCQlJiZqwYIFSk1N1dmzZ5WXl6fWrVsXue5Dhw4pJydHvXr1cmrPy8tTmzZtSnkkAACUrSvZr/1+/xoSEqJq1ao5AvuFtu3btzumDx48qKeeekrbtm3T8ePHHUfYU1NT1aJFi0K17N69Wxs3bpSvr2+heYcPHya0A+WA0A6gXNhsNqdpNzc3pzY3NzdJv12b/s477+jRRx/VCy+8oMjISPn5+em5557Ttm3bilz36dOnJUkrV67UNddc4zTPy8urNIcBAECZu5L92h/3pUXtb39/6nvfvn0VFhamN954Q3Xq1FFBQYFatGihvLy8i9bSt29fzZo1q9C82rVrX9nAAJQIoR2AcT7//HPddNNNGjNmjKPtUjfJiYiIkJeXl1JTU9WlS5fyKBEAgDJTVvu1EydO6MCBA3rjjTd08803S5I+++yzSy7Ttm1bvffee2rQoIGqVCE6AK7ATx4A4zRp0kRLlizR2rVrFR4errfffls7duxQeHh4kf39/Pz06KOPasKECSooKFDnzp116tQpff755/L391dMTEw5jwAAgJIrq/1a9erVVaNGDc2fP1+1a9dWamqq/va3v11ymdjYWL3xxhu67777NGnSJAUFBenQoUN655139Oabb8rDw6NEtQAoPkI7AOM89NBD+vLLL3XvvffKzc1N9913n8aMGeN4JFxRZsyYoeDgYCUkJOi7775TYGCg2rZtq8cff7wcKwcAoHSUxX7N3d1d77zzjsaNG6cWLVqoadOmeuWVV9S1a9eLLlOnTh19/vnneuyxxxQVFaXc3FyFhYXp1ltvlbs7D6ICygN3jwcAAAAAwFB8PQYAAAAAgKEI7QAAAAAAGIrQDgAAAACAoQjtAAAAAAAYitAOAAAAAIChCO0AAAAAABiK0A4AAAAAgKEI7QAAAAAAGIrQDgAAAACAoQjtAACgkGPHjmn06NGqX7++vLy8FBoaqujoaH3++eeuLg0AgKtKFVcXAAAAzDNgwADl5eVp8eLFatiwodLT07V+/XqdOHHC1aUBAHBV4Ug7AABwkpmZqU8//VSzZs1St27dFBYWphtvvFGTJ0/WHXfc4egzYsQIBQcHy9/fX927d9fu3bsl/XaUPjQ0VDNnznSsc8uWLfL09NT69etdMiYAACoqQjsAAHDi6+srX19frVixQrm5uUX2ueeee5SRkaHVq1dr165datu2rXr06KGTJ08qODhYCxYs0NSpU7Vz505lZ2dr8ODBGjt2rHr06FHOowEAoGJzsyzLcnURAADALO+9955Gjhyps2fPqm3bturSpYsGDRqk66+/Xp999pn69OmjjIwMeXl5OZZp3LixJk2apFGjRkmSYmNjtW7dOrVv31579uzRjh07nPoDAIDLI7QDAIAinTt3Tp9++qm2bt2q1atXa/v27XrzzTd15swZjRs3TlWrVnXqf/bsWT366KOaNWuWY7pFixb68ccftWvXLrVs2dIVwwAAoEIjtAMAgGIZMWKEkpOTNWbMGM2dO1ebNm0q1CcwMFA1a9aUJO3du1c33HCD7Ha7PvjgA/Xt27ecKwYAoOLj7vEAAKBYIiIitGLFCrVt21ZpaWmqUqWKGjRoUGTfvLw8Pfjgg7r33nvVtGlTjRgxQnv27FGtWrXKt2gAACo4jrQDAAAnJ06c0D333KO//OUvuv766+Xn56edO3cqLi5Offr00ZtvvqlbbrlF2dnZmj17tq699lr98ssvWrlypfr376/27dtr4sSJevfdd7V79275+vqqS5cuCggI0Mcff+zq4QEAUKEQ2gEAgJPc3FxNnTpVSUlJOnz4sOx2u+rVq6d77rlHjz/+uKpWrars7Gz9/e9/13vvved4xNstt9yihIQEHT58WL169dLGjRvVuXNnSdKRI0fUqlUrPfvssxo9erSLRwgAQMVBaAcAAAAAwFA8px0AAAAAAEMR2gEAAAAAMBShHQAAAAAAQxHaAQAAAAAwFKEdAAAAAABDEdoBAAAAADAUoR0AAAAAAEMR2gEAAAAAMBShHQAAAAAAQxHaAQAAAAAwFKEdAAAAAABD/T85Nlwex0Z0IAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Count plot of Pclass\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.countplot(data=train_df, x='Pclass', palette='viridis')\n",
    "plt.title('Count of Passengers by Pclass')\n",
    "plt.xlabel('Pclass')\n",
    "plt.ylabel('Count')\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# Count plot of Sex\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.countplot(data=train_df, x='Sex', palette='viridis')\n",
    "plt.title('Count of Passengers by Sex')\n",
    "plt.xlabel('Sex')\n",
    "plt.ylabel('Count')\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# Count plot of Embarked\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.countplot(data=train_df, x='Embarked', palette='viridis')\n",
    "plt.title('Count of Passengers by Embarked')\n",
    "plt.xlabel('Embarked')\n",
    "plt.ylabel('Count')\n",
    "plt.grid(True)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9209c14c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-26T06:10:18.591869Z",
     "iopub.status.busy": "2024-07-26T06:10:18.590906Z",
     "iopub.status.idle": "2024-07-26T06:10:19.559982Z",
     "shell.execute_reply": "2024-07-26T06:10:19.558837Z"
    },
    "papermill": {
     "duration": 0.986364,
     "end_time": "2024-07-26T06:10:19.562702",
     "exception": false,
     "start_time": "2024-07-26T06:10:18.576338",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Survival rate by Pclass\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.barplot(data=train_df, x='Pclass', y='Survived', palette='viridis')\n",
    "plt.title('Survival Rate by Pclass')\n",
    "plt.xlabel('Pclass')\n",
    "plt.ylabel('Survival Rate')\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# Survival rate by Sex\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.barplot(data=train_df, x='Sex', y='Survived', palette='viridis')\n",
    "plt.title('Survival Rate by Sex')\n",
    "plt.xlabel('Sex')\n",
    "plt.ylabel('Survival Rate')\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# Survival rate by Embarked\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.barplot(data=train_df, x='Embarked', y='Survived', palette='viridis')\n",
    "plt.title('Survival Rate by Embarked')\n",
    "plt.xlabel('Embarked')\n",
    "plt.ylabel('Survival Rate')\n",
    "plt.grid(True)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9e57a364",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-26T06:10:19.594795Z",
     "iopub.status.busy": "2024-07-26T06:10:19.594391Z",
     "iopub.status.idle": "2024-07-26T06:10:20.739318Z",
     "shell.execute_reply": "2024-07-26T06:10:20.737928Z"
    },
    "papermill": {
     "duration": 1.164747,
     "end_time": "2024-07-26T06:10:20.742355",
     "exception": false,
     "start_time": "2024-07-26T06:10:19.577608",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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bdOv/XxshL/3z2C/n2Wef1ejRo9WnTx+NHz/e9bn/oUOHZvn85MaxZWx3xIgRmf5ynyHjzXCzZs108OBBvf/++1q/fr0WLVqkmTNnasGCBW6jWq5Uducpu377p7x67v/+JrxLly5KTExU//791aRJE9cb/M8//1ydO3dWs2bNNG/ePJUoUULe3t5asmRJpgu55kZNWbH7POWmrF4vpJy9vg0dOlR33nmnVq1apf/+978aPXq0Jk2apE8++US1atXK28IB4DohrAAA3DAyhpQXK1Ysy79uZjh9+rQ2btyouLg4jRkzxjU9qyH92b35yfjL/T/vfPHPv+Berl7LslSuXDlVqlQpx+tdD/v371eLFi1cj8+fP6/ffvtNHTp0kCTXXS327dvnNqw9OTlZhw8f/tfz/3fZnd+3335bLVq00OLFi92mnzlzxnWh0yuR0Rvff/99trVlHIe3t3eO6i9UqJB69+6t3r176/z582rWrJliY2OvKaz4p7CwMKWnp2v//v2qWrWqa/rvv/+uM2fOuJ6H623y5Ml67733NHHiRC1YsECS9M4778jX11f//e9/5XQ6XcsuWbLkqvZRtGhR+fn5ZflzuW/fPrfHpp6nDEWLFpW/v3+muqVLd5/x8PDINKrjn3L6+vb35YcPH67hw4dr//79uu222zR9+nS99tprknIe7ACAqbhmBQDghtG2bVsFBwfr2WefVUpKSqb5GXfwyPjr6T//Wjpr1qxM6wQEBEjKHEoEBwerSJEi+uyzz9ymz5s3L8f13n333fL09FRcXFymWizLcruN6vX24osvup3D+fPnKzU1Ve3bt5d06XoDPj4+mjNnjlvtixcv1tmzZzPd+SE7AQEBmc6tdOk5+uc5eeutt1zXjLhStWvXVrly5TRr1qxM+8vYT7FixdS8eXMtXLhQv/32W6Zt/P0OMP98bgIDAxUeHp7pNpnXKiMc+mdvzpgxQ5JyfJ5zW4UKFXTPPfdo6dKlOn78uKRLz5nD4XAbXXTkyBGtWrXqqvbh6emptm3batWqVTp69Khr+t69e/Xf//7XbVlTz1MGT09PtWnTRu+//77ro1TSpTBlxYoVatKkidvH1LKS09e3xMREXbx40W1ehQoVFBQU5Naf2f3sAcCNgpEVAIAbRnBwsObPn68HH3xQtWvXVvfu3VW0aFEdPXpUH330kRo3bqznn39ewcHBrtt6pqSkqFSpUlq/fr0OHz6caZt16tSRJI0aNUrdu3eXt7e37rzzTgUEBKhfv36aPHmy+vXrp7p16+qzzz7Tjz/+mON6K1SooAkTJigmJkZHjhxRly5dFBQUpMOHD+u9997TQw89pBEjRuTa+bkSycnJatmypeu2jfPmzVOTJk3UuXNnSZf+UhwTE6O4uDi1a9dOnTt3di1Xr149PfDAAznaT506dTR//nxNmDBB4eHhKlasmO644w516tRJ48aNU+/evXX77bdr165dWr58udsojivh4eGh+fPn684779Rtt92m3r17q0SJEvrhhx+0e/du15vfF154QU2aNFHNmjXVv39/lS9fXr///ru2bt2qX375Rd9++62kSxdobN68uerUqaNChQrp66+/1ttvv63BgwdfVX3ZufXWWxUVFaUXX3xRZ86cUWRkpL788ku98sor6tKli9vol+tt5MiRWrlypWbNmqXJkyerY8eOmjFjhtq1a6cePXroxIkTeuGFFxQeHq7vvvvuqvYRFxendevWqWnTpho0aJBSU1M1d+5cVa9e3W2bJp+nDBMmTNCGDRvUpEkTDRo0SF5eXlq4cKGSkpI0derUy66f09e3H3/80fWzW61aNXl5eem9997T77//ru7du7u2l93PHgDcMOy4BQkAAFnJ6ladWfn000+ttm3bWiEhIZavr69VoUIFKzo62vr6669dy/zyyy/Wf/7zH6tAgQJWSEiIdd9991nHjh3LdCtPy7Ks8ePHW6VKlbI8PDzcbkWYmJho9e3b1woJCbGCgoKsrl27WidOnMj21qV//PFHlvW+8847VpMmTayAgAArICDAqlKlivXII49Y+/btu+LzERUVZQUEBGRaNjIy0qpevXqm6WFhYW634MzY5qZNm6yHHnrIKliwoBUYGGj17NnTOnXqVKb1n3/+eatKlSqWt7e3Vbx4cWvgwIGZbg2a3b4t69JtFzt27GgFBQVZkly3Urx48aI1fPhwq0SJEpafn5/VuHFja+vWrVZkZKTb7RYzbhn51ltvuW03u1vLbt682WrdurUVFBRkBQQEWBEREW63yrQsyzp48KDVq1cvKzQ01PL29rZKlSplderUyXr77bddy0yYMMGqX7++VaBAAcvPz8+qUqWKNXHiRLfbvWblcrcuzapHUlJSrLi4OKtcuXKWt7e3Vbp0aSsmJsbt9qqWlfm5zCDJeuSRR3JUxz9ld34zNG/e3AoODrbOnDljWZZlLV682KpYsaLldDqtKlWqWEuWLHEd2+VqyjiGqKgot2mbNm2y6tSpY/n4+Fjly5e3FixYkOU2TT5PGb755hurbdu2VmBgoOXv72+1aNHC7RaqlnX517nLvb6dPHnSeuSRR6wqVapYAQEBVkhIiNWgQQNr5cqVbtvJ7mcPAG4UDsuy4YpCAADAFkuXLlXv3r311VdfZXnHFQAAABNwzQoAAAAAAGAUwgoAAAAAAGAUwgoAAAAAAGAUrlkBAAAAAACMwsgKAAAAAABgFMIKAAAAAABgFC+7C4B90tPTdezYMQUFBcnhcNhdDgAAAADgJmdZls6dO6eSJUvKwyP78ROEFfnYsWPHVLp0abvLAAAAAADkMz///LNuueWWbOcTVuRjQUFBkqTDhw+rUKFCNleD/CglJUXr169XmzZt5O3tbXc5yKfoQ9iNHoTd6EGYgD7MPxISElS6dGnX+9HsEFbkYxkf/QgKClJwcLDN1SA/SklJkb+/v4KDg/lPCbahD2E3ehB2owdhAvow/7ncpQi4wCYAAAAAADAKYQUAAAAAADAKYQUAAAAAADAKYQUAAAAAADAKF9iEerUbI6XTCrj+vH081fupSN3X7EmlJKfZXQ7yKfoQdqMHYTd6ECagD6/eR9tn211CnmBkBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphBQAAAAAAMAphxQ1i6dKlKlCggN1lAAAAAACQ527KsOKPP/7QwIEDVaZMGTmdToWGhqpt27basmWL3aUBAAAAAIDL8LK7gLxwzz33KDk5Wa+88orKly+v33//XRs3btSpU6fsLg0AAAAAAFzGTTey4syZM/r88881ZcoUtWjRQmFhYapfv75iYmLUuXNn1zL9+vVT0aJFFRwcrDvuuEPffvutpEujMkJDQ/Xss8+6tvnFF1/Ix8dHGzduvOz+Y2Njddttt+nll19WmTJlFBgYqEGDBiktLU1Tp05VaGioihUrpokTJ7qtN2PGDNWsWVMBAQEqXbq0Bg0apPPnz//rvt5//33Vrl1bvr6+Kl++vOLi4pSamnqlpwwAAAAAAKPcdCMrAgMDFRgYqFWrVqlhw4ZyOp2Zlrnvvvvk5+entWvXKiQkRAsXLlTLli31448/qmjRonr55ZfVpUsXtWnTRpUrV9aDDz6owYMHq2XLljmq4eDBg1q7dq3WrVungwcP6t5779WhQ4dUqVIlbdq0SV988YX69OmjVq1aqUGDBpIkDw8PzZkzR+XKldOhQ4c0aNAgPfHEE5o3b16W+/j888/Vq1cvzZkzR02bNtXBgwf10EMPSZLGjh2b5TpJSUlKSkpyPU5ISJAkeft4SumeOTo2IDd5+3i6/QvYgT6E3ehB2I0ehAnow6uXkpJidwlXJKf1OizLsvK4luvunXfeUf/+/fXXX3+pdu3aioyMVPfu3RUREaHNmzerY8eOOnHihFuQER4erieeeML1hv+RRx7Rxx9/rLp162rXrl366quvsgw+/ik2NlbPPfecjh8/rqCgIElSu3bttG/fPh08eFAeHpcGs1SpUkXR0dF66qmnstzO22+/rQEDBujkyZOSLl1gc+jQoTpz5owkqVWrVmrZsqViYmJc67z22mt64okndOzYsWxri4uLyzR9xYoV8vf3v+yxAQAAAABwLRITE9WjRw+dPXtWwcHB2S53042skC5ds6Jjx476/PPPtW3bNq1du1ZTp07VokWLdOHCBZ0/f16FCxd2W+evv/7SwYMHXY+nTZumGjVq6K233tL27dtzFFRkKFu2rCuokKTixYvL09PTFVRkTDtx4oTr8ccff6xJkybphx9+UEJCglJTU3Xx4kUlJiZmGSR8++232rJli9vHSdLS0v51nZiYGA0bNsz1OCEhQaVLl9abz2+V0m/KVoDhvH089cCwJnptxmalJKfZXQ7yKfoQdqMHYTd6ECagD6/eW59NsbuEK5Ixwv9ybtp3qL6+vmrdurVat26t0aNHq1+/fho7dqwGDRqkEiVKKD4+PtM6f7816MGDB3Xs2DGlp6fryJEjqlmzZo737e3t7fbY4XBkOS09PV2SdOTIEXXq1EkDBw7UxIkTVahQIW3evFl9+/ZVcnJylsHD+fPnFRcXp7vvvjvLY8+K0+nMMnRJSU6T0h05Pj4gt6Ukp/GfEmxHH8Ju9CDsRg/CBPThlfvne03T5bTemzas+Kdq1app1apVql27to4fPy4vLy+VLVs2y2WTk5P1wAMPqFu3bqpcubL69eunXbt2qVixYnlS2/bt25Wenq7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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# Separate features and target\n",
    "X = train_df.drop(['Survived', 'Name', 'Ticket', 'Cabin', 'PassengerId'], axis=1)\n",
    "X = pd.get_dummies(X, drop_first=True)  # Convert categorical features to dummy variables\n",
    "y = train_df['Survived']\n",
    "\n",
    "# Handle missing values\n",
    "X.fillna(X.median(), inplace=True)\n",
    "\n",
    "# Split data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# Train a Random Forest model\n",
    "model = RandomForestClassifier(n_estimators=100, random_state=42)\n",
    "model.fit(X_train, y_train)\n",
    "\n",
    "# Get feature importances\n",
    "importances = model.feature_importances_\n",
    "feature_names = X.columns\n",
    "\n",
    "# Create a DataFrame for feature importances\n",
    "feature_importances_df = pd.DataFrame({'Feature': feature_names, 'Importance': importances})\n",
    "feature_importances_df = feature_importances_df.sort_values(by='Importance', ascending=False)\n",
    "\n",
    "# Plot feature importances\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.barplot(data=feature_importances_df, x='Importance', y='Feature', palette='viridis')\n",
    "plt.title('Feature Importances from Random Forest')\n",
    "plt.xlabel('Importance')\n",
    "plt.ylabel('Feature')\n",
    "plt.grid(True)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "dd27ea6a",
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    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Imputed Data:\n",
      "   Pclass   Age  SibSp  Parch     Fare  Sex_male  Embarked_Q  Embarked_S\n",
      "0     3.0  22.0    1.0    0.0   7.2500       1.0         0.0         1.0\n",
      "1     1.0  38.0    1.0    0.0  71.2833       0.0         0.0         0.0\n",
      "2     3.0  26.0    0.0    0.0   7.9250       0.0         0.0         1.0\n",
      "3     1.0  35.0    1.0    0.0  53.1000       0.0         0.0         1.0\n",
      "4     3.0  35.0    0.0    0.0   8.0500       1.0         0.0         1.0\n",
      "\n",
      "Scaled Data:\n",
      "     Pclass       Age     SibSp     Parch      Fare  Sex_male  Embarked_Q  \\\n",
      "0  0.827377 -0.565736  0.432793 -0.473674 -0.502445  0.737695   -0.307562   \n",
      "1 -1.566107  0.663861  0.432793 -0.473674  0.786845 -1.355574   -0.307562   \n",
      "2  0.827377 -0.258337 -0.474545 -0.473674 -0.488854 -1.355574   -0.307562   \n",
      "3 -1.566107  0.433312  0.432793 -0.473674  0.420730 -1.355574   -0.307562   \n",
      "4  0.827377  0.433312 -0.474545 -0.473674 -0.486337  0.737695   -0.307562   \n",
      "\n",
      "   Embarked_S  \n",
      "0    0.619306  \n",
      "1   -1.614710  \n",
      "2    0.619306  \n",
      "3    0.619306  \n",
      "4    0.619306  \n"
     ]
    }
   ],
   "source": [
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "# Impute missing values\n",
    "imputer = SimpleImputer(strategy='mean')\n",
    "X_imputed = imputer.fit_transform(X)\n",
    "\n",
    "# Standardize features\n",
    "scaler = StandardScaler()\n",
    "X_scaled = scaler.fit_transform(X_imputed)\n",
    "\n",
    "# Check the imputed and scaled data\n",
    "X_imputed_df = pd.DataFrame(X_imputed, columns=X.columns)\n",
    "X_scaled_df = pd.DataFrame(X_scaled, columns=X.columns)\n",
    "\n",
    "print(\"Imputed Data:\")\n",
    "print(X_imputed_df.head())\n",
    "\n",
    "print(\"\\nScaled Data:\")\n",
    "print(X_scaled_df.head())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3ff71050",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-26T06:10:20.840970Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cross-Validation Scores:\n",
      "[0.79329609 0.81460674 0.84831461 0.7752809  0.8258427 ]\n",
      "\n",
      "Mean Cross-Validation Score:\n",
      "0.8114682066411399\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "# Define a Random Forest model\n",
    "model = RandomForestClassifier(n_estimators=100, random_state=42)\n",
    "\n",
    "# Evaluate the model using cross-validation\n",
    "cv_scores = cross_val_score(model, X_scaled, y, cv=5, scoring='accuracy')\n",
    "\n",
    "# Print the cross-validation results\n",
    "print(\"Cross-Validation Scores:\")\n",
    "print(cv_scores)\n",
    "\n",
    "print(\"\\nMean Cross-Validation Score:\")\n",
    "print(cv_scores.mean())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cd59e9e1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-26T06:10:22.324359Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Submission file created at '/kaggle/working/titanic_submission.csv'\n"
     ]
    }
   ],
   "source": [
    "# Prepare test data\n",
    "X_test_df = test_df.drop(['Name', 'Ticket', 'Cabin', 'PassengerId'], axis=1)\n",
    "X_test_df = pd.get_dummies(X_test_df, drop_first=True)\n",
    "X_test_df.fillna(X_test_df.median(), inplace=True)\n",
    "\n",
    "# Impute and scale test data\n",
    "X_test_imputed = imputer.transform(X_test_df)\n",
    "X_test_scaled = scaler.transform(X_test_imputed)\n",
    "\n",
    "# Train the model on the entire training set\n",
    "model.fit(X_scaled, y)\n",
    "\n",
    "# Make predictions on the test data\n",
    "test_predictions = model.predict(X_test_scaled)\n",
    "\n",
    "# Create a DataFrame for the submission file\n",
    "submission_df = pd.DataFrame({'PassengerId': test_df['PassengerId'], 'Survived': test_predictions})\n",
    "\n",
    "# Save the submission file\n",
    "submission_df.to_csv('/kaggle/working/titanic_submission.csv', index=False)\n",
    "\n",
    "print(\"Submission file created at '/kaggle/working/titanic_submission.csv'\")\n"
   ]
  }
 ],
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