Visualization.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# Adult Census Income Dataset Visualization\n",
    "### Haibin Lai 12211612\n",
    "\n",
    "\n",
    "This visualization is used to analyze and display the data so that we can try to make decision on choosing which predict model. The main analysis of this dataset is on the report.\n",
    "\n",
    "Some of the code are from RUBÉN ACEVEDO in his project Adult Census Income EDA & ML:\n",
    "https://www.kaggle.com/code/eskilie/adult-census-income-eda-ml\n"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "efcfedcc9cfd5afe"
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Running Preparation\n",
    "**Needed Python Version:**\n",
    " > \\>=3.09 \n",
    " My computer runs well in 3.11\n",
    "\n",
    "**Needed Package:**\n",
    "\n",
    "| Library    | Version   | Notes       |\n",
    "|------------|-----------|-------------|\n",
    "| pandas     | 2.2.1     | Recommended |\n",
    "| warnings   | in Python | -           |\n",
    "| matplotlib | 3.8.4     | Recommended |\n",
    "| numpy      | 1.26.4    | Recommended              |\n",
    "| seaborn    | 0.12.2    | Recommended              |\n"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "e7c0173ee240a292"
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import seaborn as sns\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:47.025225600Z",
     "start_time": "2024-06-09T10:52:47.021490600Z"
    }
   },
   "id": "3d35dec5e10dfb24",
   "execution_count": 1
  },
  {
   "cell_type": "markdown",
   "source": [
    "## 1 Data Preparation and Wrangling \n",
    "### 1.1 Data Preparation\n",
    "\n",
    "We load the data by adding the income line into the csv"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "5ae6581810273006"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "trainlabel.txt has been transformed trainlabel.csv\n"
     ]
    }
   ],
   "source": [
    "# 读取 train.csv 文件\n",
    "train_data = pd.read_csv(\"data/traindata.csv\")\n",
    "\n",
    "# 读取trainlabel.txt文件\n",
    "with open('data/trainlabel.txt', 'r') as file:\n",
    "    lines = file.readlines()\n",
    "\n",
    "# 解析文本数据并创建DataFrame\n",
    "data = {'Label': [line.strip() for line in lines]}\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# 将DataFrame保存为CSV文件\n",
    "df.to_csv('data/trainlabel.csv', index=False)\n",
    "\n",
    "print(\"trainlabel.txt has been transformed trainlabel.csv\")"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:47.086739400Z",
     "start_time": "2024-06-09T10:52:47.027997300Z"
    }
   },
   "id": "2ec689040ac01a08",
   "execution_count": 2
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "   age         workclass  fnlwgt     education  education.num  \\\n0   77         Local-gov  177550     Bachelors             13   \n1   40      Self-emp-inc  475322     Bachelors             13   \n2   29  Self-emp-not-inc  341672       HS-grad              9   \n3   41           Private  184378       HS-grad              9   \n4   22           Private  306967  Some-college             10   \n\n          marital.status        occupation    relationship  \\\n0     Married-civ-spouse      Adm-clerical         Husband   \n1              Separated      Craft-repair       Own-child   \n2  Married-spouse-absent  Transport-moving  Other-relative   \n3              Separated      Craft-repair   Not-in-family   \n4          Never-married      Adm-clerical   Not-in-family   \n\n                 race     sex  capital.gain  capital.loss  hours.per.week  \\\n0               White    Male          3818             0              14   \n1               White    Male             0             0              50   \n2  Asian-Pac-Islander    Male             0          1564              50   \n3               White    Male             0             0              40   \n4               White  Female             0             0              25   \n\n  native.country  Income  \n0  United-States       0  \n1  United-States       0  \n2          India       1  \n3  United-States       0  \n4  United-States       0  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>age</th>\n      <th>workclass</th>\n      <th>fnlwgt</th>\n      <th>education</th>\n      <th>education.num</th>\n      <th>marital.status</th>\n      <th>occupation</th>\n      <th>relationship</th>\n      <th>race</th>\n      <th>sex</th>\n      <th>capital.gain</th>\n      <th>capital.loss</th>\n      <th>hours.per.week</th>\n      <th>native.country</th>\n      <th>Income</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>77</td>\n      <td>Local-gov</td>\n      <td>177550</td>\n      <td>Bachelors</td>\n      <td>13</td>\n      <td>Married-civ-spouse</td>\n      <td>Adm-clerical</td>\n      <td>Husband</td>\n      <td>White</td>\n      <td>Male</td>\n      <td>3818</td>\n      <td>0</td>\n      <td>14</td>\n      <td>United-States</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>40</td>\n      <td>Self-emp-inc</td>\n      <td>475322</td>\n      <td>Bachelors</td>\n      <td>13</td>\n      <td>Separated</td>\n      <td>Craft-repair</td>\n      <td>Own-child</td>\n      <td>White</td>\n      <td>Male</td>\n      <td>0</td>\n      <td>0</td>\n      <td>50</td>\n      <td>United-States</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>29</td>\n      <td>Self-emp-not-inc</td>\n      <td>341672</td>\n      <td>HS-grad</td>\n      <td>9</td>\n      <td>Married-spouse-absent</td>\n      <td>Transport-moving</td>\n      <td>Other-relative</td>\n      <td>Asian-Pac-Islander</td>\n      <td>Male</td>\n      <td>0</td>\n      <td>1564</td>\n      <td>50</td>\n      <td>India</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>41</td>\n      <td>Private</td>\n      <td>184378</td>\n      <td>HS-grad</td>\n      <td>9</td>\n      <td>Separated</td>\n      <td>Craft-repair</td>\n      <td>Not-in-family</td>\n      <td>White</td>\n      <td>Male</td>\n      <td>0</td>\n      <td>0</td>\n      <td>40</td>\n      <td>United-States</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>22</td>\n      <td>Private</td>\n      <td>306967</td>\n      <td>Some-college</td>\n      <td>10</td>\n      <td>Never-married</td>\n      <td>Adm-clerical</td>\n      <td>Not-in-family</td>\n      <td>White</td>\n      <td>Female</td>\n      <td>0</td>\n      <td>0</td>\n      <td>25</td>\n      <td>United-States</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 读取 data.csv 文件，假设数据列名为 'income'\n",
    "data_df = pd.read_csv(\"data/trainlabel.csv\")\n",
    "\n",
    "# 将 'income' 数据列添加到 train_df 中\n",
    "train_data['Income'] = data_df\n",
    "\n",
    "# 将修改后的 train_df 保存为新的 CSV 文件\n",
    "train_data.to_csv(\"data/traindata_preprocessed.csv\", index=False)\n",
    "\n",
    "train_data = pd.read_csv('data/traindata_preprocessed.csv')\n",
    "\n",
    "train_data.head()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:47.209394Z",
     "start_time": "2024-06-09T10:52:47.084569500Z"
    }
   },
   "id": "ea71e1347fdd3c82",
   "execution_count": 3
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 22792 entries, 0 to 22791\n",
      "Data columns (total 15 columns):\n",
      " #   Column          Non-Null Count  Dtype \n",
      "---  ------          --------------  ----- \n",
      " 0   age             22792 non-null  int64 \n",
      " 1   workclass       22792 non-null  object\n",
      " 2   fnlwgt          22792 non-null  int64 \n",
      " 3   education       22792 non-null  object\n",
      " 4   education.num   22792 non-null  int64 \n",
      " 5   marital.status  22792 non-null  object\n",
      " 6   occupation      22792 non-null  object\n",
      " 7   relationship    22792 non-null  object\n",
      " 8   race            22792 non-null  object\n",
      " 9   sex             22792 non-null  object\n",
      " 10  capital.gain    22792 non-null  int64 \n",
      " 11  capital.loss    22792 non-null  int64 \n",
      " 12  hours.per.week  22792 non-null  int64 \n",
      " 13  native.country  22792 non-null  object\n",
      " 14  Income          22792 non-null  int64 \n",
      "dtypes: int64(7), object(8)\n",
      "memory usage: 2.6+ MB\n"
     ]
    }
   ],
   "source": [
    "train_data.info()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:47.226620400Z",
     "start_time": "2024-06-09T10:52:47.209394Z"
    }
   },
   "id": "e491bfd2c101a628",
   "execution_count": 4
  },
  {
   "cell_type": "markdown",
   "source": [
    "**Result Explained**\n",
    "The result tells us there are 22792 rows and 14 columns of feature and 1 column of income, and the name of each column, with the data type.\n",
    "The info() method also tells us how many Non-Null values there are present in each column, and in our data set there are no Null values in our data set.\n",
    "\n",
    "Empty values, or Null values, can be bad when analyzing data, we do this to clean our data."
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "c193bc966d0f2a5d"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "age               0\nworkclass         0\nfnlwgt            0\neducation         0\neducation.num     0\nmarital.status    0\noccupation        0\nrelationship      0\nrace              0\nsex               0\ncapital.gain      0\ncapital.loss      0\nhours.per.week    0\nnative.country    0\nIncome            0\ndtype: int64"
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.isna().sum()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:47.289666Z",
     "start_time": "2024-06-09T10:52:47.227683200Z"
    }
   },
   "id": "abbd89b3ca929089",
   "execution_count": 5
  },
  {
   "cell_type": "markdown",
   "source": [
    "Now we test if the data has unnamed line using “train_data.isna().sum()”\n",
    "\n",
    "And next we use \"train_data.loc[train_data.duplicated() == True\\]\" to check if we have found the same sample. "
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "c055377904b28978"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "       age workclass  fnlwgt     education  education.num      marital.status  \\\n5721    44   Private  367749     Bachelors             13       Never-married   \n9853    25   Private  195994       1st-4th              2       Never-married   \n15108   20   Private  107658  Some-college             10       Never-married   \n16958   42   Private  204235  Some-college             10  Married-civ-spouse   \n18372   25   Private  308144     Bachelors             13       Never-married   \n18382   23   Private  240137       5th-6th              3       Never-married   \n19488   46   Private  173243       HS-grad              9  Married-civ-spouse   \n19733   39   Private   30916       HS-grad              9  Married-civ-spouse   \n20026   27   Private  255582       HS-grad              9       Never-married   \n20405   21   Private  243368     Preschool              1       Never-married   \n\n              occupation   relationship   race     sex  capital.gain  \\\n5721      Prof-specialty  Not-in-family  White  Female             0   \n9853     Priv-house-serv  Not-in-family  White  Female             0   \n15108       Tech-support  Not-in-family  White  Female             0   \n16958     Prof-specialty        Husband  White    Male             0   \n18372       Craft-repair  Not-in-family  White    Male             0   \n18382  Handlers-cleaners  Not-in-family  White    Male             0   \n19488       Craft-repair        Husband  White    Male             0   \n19733       Craft-repair        Husband  White    Male             0   \n20026  Machine-op-inspct  Not-in-family  White  Female             0   \n20405    Farming-fishing  Not-in-family  White    Male             0   \n\n       capital.loss  hours.per.week native.country  Income  \n5721              0              45         Mexico       0  \n9853              0              40      Guatemala       0  \n15108             0              10  United-States       0  \n16958             0              40  United-States       1  \n18372             0              40         Mexico       0  \n18382             0              55         Mexico       0  \n19488             0              40  United-States       0  \n19733             0              40  United-States       0  \n20026             0              40  United-States       0  \n20405             0              50         Mexico       0  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>age</th>\n      <th>workclass</th>\n      <th>fnlwgt</th>\n      <th>education</th>\n      <th>education.num</th>\n      <th>marital.status</th>\n      <th>occupation</th>\n      <th>relationship</th>\n      <th>race</th>\n      <th>sex</th>\n      <th>capital.gain</th>\n      <th>capital.loss</th>\n      <th>hours.per.week</th>\n      <th>native.country</th>\n      <th>Income</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>5721</th>\n      <td>44</td>\n      <td>Private</td>\n      <td>367749</td>\n      <td>Bachelors</td>\n      <td>13</td>\n      <td>Never-married</td>\n      <td>Prof-specialty</td>\n      <td>Not-in-family</td>\n      <td>White</td>\n      <td>Female</td>\n      <td>0</td>\n      <td>0</td>\n      <td>45</td>\n      <td>Mexico</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>9853</th>\n      <td>25</td>\n      <td>Private</td>\n      <td>195994</td>\n      <td>1st-4th</td>\n      <td>2</td>\n      <td>Never-married</td>\n      <td>Priv-house-serv</td>\n      <td>Not-in-family</td>\n      <td>White</td>\n      <td>Female</td>\n      <td>0</td>\n      <td>0</td>\n      <td>40</td>\n      <td>Guatemala</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>15108</th>\n      <td>20</td>\n      <td>Private</td>\n      <td>107658</td>\n      <td>Some-college</td>\n      <td>10</td>\n      <td>Never-married</td>\n      <td>Tech-support</td>\n      <td>Not-in-family</td>\n      <td>White</td>\n      <td>Female</td>\n      <td>0</td>\n      <td>0</td>\n      <td>10</td>\n      <td>United-States</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>16958</th>\n      <td>42</td>\n      <td>Private</td>\n      <td>204235</td>\n      <td>Some-college</td>\n      <td>10</td>\n      <td>Married-civ-spouse</td>\n      <td>Prof-specialty</td>\n      <td>Husband</td>\n      <td>White</td>\n      <td>Male</td>\n      <td>0</td>\n      <td>0</td>\n      <td>40</td>\n      <td>United-States</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>18372</th>\n      <td>25</td>\n      <td>Private</td>\n      <td>308144</td>\n      <td>Bachelors</td>\n      <td>13</td>\n      <td>Never-married</td>\n      <td>Craft-repair</td>\n      <td>Not-in-family</td>\n      <td>White</td>\n      <td>Male</td>\n      <td>0</td>\n      <td>0</td>\n      <td>40</td>\n      <td>Mexico</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>18382</th>\n      <td>23</td>\n      <td>Private</td>\n      <td>240137</td>\n      <td>5th-6th</td>\n      <td>3</td>\n      <td>Never-married</td>\n      <td>Handlers-cleaners</td>\n      <td>Not-in-family</td>\n      <td>White</td>\n      <td>Male</td>\n      <td>0</td>\n      <td>0</td>\n      <td>55</td>\n      <td>Mexico</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>19488</th>\n      <td>46</td>\n      <td>Private</td>\n      <td>173243</td>\n      <td>HS-grad</td>\n      <td>9</td>\n      <td>Married-civ-spouse</td>\n      <td>Craft-repair</td>\n      <td>Husband</td>\n      <td>White</td>\n      <td>Male</td>\n      <td>0</td>\n      <td>0</td>\n      <td>40</td>\n      <td>United-States</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>19733</th>\n      <td>39</td>\n      <td>Private</td>\n      <td>30916</td>\n      <td>HS-grad</td>\n      <td>9</td>\n      <td>Married-civ-spouse</td>\n      <td>Craft-repair</td>\n      <td>Husband</td>\n      <td>White</td>\n      <td>Male</td>\n      <td>0</td>\n      <td>0</td>\n      <td>40</td>\n      <td>United-States</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>20026</th>\n      <td>27</td>\n      <td>Private</td>\n      <td>255582</td>\n      <td>HS-grad</td>\n      <td>9</td>\n      <td>Never-married</td>\n      <td>Machine-op-inspct</td>\n      <td>Not-in-family</td>\n      <td>White</td>\n      <td>Female</td>\n      <td>0</td>\n      <td>0</td>\n      <td>40</td>\n      <td>United-States</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>20405</th>\n      <td>21</td>\n      <td>Private</td>\n      <td>243368</td>\n      <td>Preschool</td>\n      <td>1</td>\n      <td>Never-married</td>\n      <td>Farming-fishing</td>\n      <td>Not-in-family</td>\n      <td>White</td>\n      <td>Male</td>\n      <td>0</td>\n      <td>0</td>\n      <td>50</td>\n      <td>Mexico</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.loc[train_data.duplicated() == True]"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:47.333468300Z",
     "start_time": "2024-06-09T10:52:47.239512100Z"
    }
   },
   "id": "5731f62b66c949d6",
   "execution_count": 6
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Get a bird eye view of the data\n",
    "Here train_data.describe() will count each data of the file and give us a view that how much level is the data"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "b82d40d87ba3dae4"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "                age        fnlwgt  education.num  capital.gain  capital.loss  \\\ncount  22792.000000  2.279200e+04   22792.000000  22792.000000  22792.000000   \nmean      38.514918  1.896628e+05      10.075509   1048.223192     85.975123   \nstd       13.640207  1.055492e+05       2.584257   7226.283048    400.471450   \nmin       17.000000  1.376900e+04       1.000000      0.000000      0.000000   \n25%       28.000000  1.178490e+05       9.000000      0.000000      0.000000   \n50%       37.000000  1.781145e+05      10.000000      0.000000      0.000000   \n75%       47.000000  2.367405e+05      12.000000      0.000000      0.000000   \nmax       90.000000  1.455435e+06      16.000000  99999.000000   3900.000000   \n\n       hours.per.week        Income  \ncount    22792.000000  22792.000000  \nmean        40.455291      0.240830  \nstd         12.312654      0.427597  \nmin          1.000000      0.000000  \n25%         40.000000      0.000000  \n50%         40.000000      0.000000  \n75%         45.000000      0.000000  \nmax         99.000000      1.000000  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>age</th>\n      <th>fnlwgt</th>\n      <th>education.num</th>\n      <th>capital.gain</th>\n      <th>capital.loss</th>\n      <th>hours.per.week</th>\n      <th>Income</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>22792.000000</td>\n      <td>2.279200e+04</td>\n      <td>22792.000000</td>\n      <td>22792.000000</td>\n      <td>22792.000000</td>\n      <td>22792.000000</td>\n      <td>22792.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>38.514918</td>\n      <td>1.896628e+05</td>\n      <td>10.075509</td>\n      <td>1048.223192</td>\n      <td>85.975123</td>\n      <td>40.455291</td>\n      <td>0.240830</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>13.640207</td>\n      <td>1.055492e+05</td>\n      <td>2.584257</td>\n      <td>7226.283048</td>\n      <td>400.471450</td>\n      <td>12.312654</td>\n      <td>0.427597</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>17.000000</td>\n      <td>1.376900e+04</td>\n      <td>1.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>1.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>28.000000</td>\n      <td>1.178490e+05</td>\n      <td>9.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>40.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>37.000000</td>\n      <td>1.781145e+05</td>\n      <td>10.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>40.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>47.000000</td>\n      <td>2.367405e+05</td>\n      <td>12.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>45.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>90.000000</td>\n      <td>1.455435e+06</td>\n      <td>16.000000</td>\n      <td>99999.000000</td>\n      <td>3900.000000</td>\n      <td>99.000000</td>\n      <td>1.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.describe()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:47.409990600Z",
     "start_time": "2024-06-09T10:52:47.268204300Z"
    }
   },
   "id": "e9e3f98a0c2879eb",
   "execution_count": 7
  },
  {
   "cell_type": "markdown",
   "source": [
    "## AGE Visualization\n",
    "\n",
    "We use package sns and plt to draw the age distribution with income"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "f62ce18e2a018f0b"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1600x800 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Age\n",
    "plt.figure(figsize=(16, 8))\n",
    "sns.set_style(\"whitegrid\")\n",
    "sns.set_theme(style=\"whitegrid\")\n",
    "sns.set_palette(\"magma\")\n",
    "sns.histplot(data=train_data, x='age', hue='Income', bins=20, multiple='stack')\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Age Distribution')\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:47.615215600Z",
     "start_time": "2024-06-09T10:52:47.290746700Z"
    }
   },
   "id": "c46011c4eb8922b9",
   "execution_count": 8
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Axes: ylabel='age'>"
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(train_data['age'])"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:47.958686900Z",
     "start_time": "2024-06-09T10:52:47.581702400Z"
    }
   },
   "id": "931237f18809372f",
   "execution_count": 9
  },
  {
   "cell_type": "markdown",
   "source": [
    "This code snippet utilizes the boxplot function from the Seaborn library to generate a boxplot for the data contained in train_data\\['age'].\n",
    "A boxplot is a statistical visualization used to display the distribution of data. It provides insights into the central tendency, spread, and presence of outliers in the dataset. Here's an explanation of the components of a boxplot:\n",
    "\n",
    "1. The central box represents the interquartile range (IQR) of the data, with the line inside the box denoting the median (50th percentile) of the data.\n",
    "2. The upper and lower boundaries of the box correspond to the third quartile (75th percentile) and the first quartile (25th percentile) of the data, respectively. Hence, the height of the box represents the IQR.\n",
    "3. \"Whiskers\" extend from the box to indicate the range of non-outlier data. Typically, they extend to the maximum and minimum observations within a certain range, but in some cases, they may represent other statistical summaries of the data.\n",
    "4.Any data points beyond the whiskers' range are considered outliers and are usually plotted as individual points.\n",
    "\n",
    "Boxplots are useful for identifying the central tendency, dispersion, and outliers in the data, facilitating exploratory analysis and comparisons between datasets.\n"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "5adb4615f2c7794d"
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Age & Sex Visualization Explanation\n",
    "\n",
    "- `sns.kdeplot`: This function from the Seaborn library is employed to create a kernel density estimation plot. Kernel density estimation is a non-parametric method used to estimate the probability density function of a random variable. It involves placing a kernel (such as a Gaussian kernel) at each observation and smoothing these kernels to generate the density curve.\n",
    "\n",
    "- `x='age'`: This specifies the numerical variable to be plotted along the x-axis, which in this case is `age`, representing age.\n",
    "\n",
    "- `hue='sex'`: This is an optional parameter used to group the data based on another variable and differentiate them using different colors. Here, it specifies grouping the data based on the categorical variable `sex`, indicating male and female.\n",
    "\n",
    "- `data=train_data`: This specifies the dataset to be used. `train_data` is assumed to be a DataFrame or similar data structure containing the data to be plotted.\n",
    "\n",
    "- `fill=True`: This is a boolean parameter that controls whether to fill the area under the kernel density curve. When set to True, it fills the area under the curve, ensuring the area under the curve sums up to 1.\n",
    "\n",
    "Therefore, this code segment generates a kernel density estimation plot of the `age` variable in the `train_data` dataset, with differentiation based on the `sex` variable, while also filling the area under the curve."
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "827afe9488c52a2d"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Axes: xlabel='age', ylabel='Density'>"
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(x='age', hue ='sex', data=train_data, fill = True)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:48.453233700Z",
     "start_time": "2024-06-09T10:52:47.805673200Z"
    }
   },
   "id": "5ae4ae1fbcd1749a",
   "execution_count": 10
  },
  {
   "cell_type": "markdown",
   "source": [
    "\n"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "e8cb766d6f707ae0"
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Workclass\n",
    "\n",
    "Brief view on the size of the Workclass:"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "a315d678a7e6bcf1"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "workclass\n?                    1278\nFederal-gov           678\nLocal-gov            1489\nNever-worked            5\nPrivate             15879\nSelf-emp-inc          792\nSelf-emp-not-inc     1734\nState-gov             929\nWithout-pay             8\ndtype: int64"
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.groupby('workclass').size()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:48.522049200Z",
     "start_time": "2024-06-09T10:52:48.453233700Z"
    }
   },
   "id": "97d9b3999bd4a125",
   "execution_count": 11
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Distribution of the work class\n",
    "The given code utilizes Matplotlib and Seaborn libraries to create a stacked histogram plot:\n",
    "\n",
    "- `plt.figure(figsize=(16, 8))`: This line sets the size of the figure to (16, 8), meaning 16 inches in width and 8 inches in height. This helps adjust the aspect ratio of the plot.\n",
    "\n",
    "- `sns.histplot()`: This Seaborn function is used to generate a histogram plot. It visualizes the distribution of a single variable (`workclass` in this case) or the relationship between two variables (`workclass` and `Income`) by binning the data and showing the count of observations in each bin. \n",
    "\n",
    "  - `data=train_data`: Specifies the dataset to be used, assumed to be a DataFrame containing the data to be plotted.\n",
    "  \n",
    "  - `x='workclass'`: Specifies the variable to be plotted along the x-axis, which here is `workclass`, representing different types of work classes.\n",
    "  \n",
    "  - `hue='Income'`: This parameter is used to differentiate the data based on another categorical variable (`Income`), typically by using different colors for different categories. It helps to visualize the distribution of `workclass` categories based on income levels.\n",
    "  \n",
    "  - `multiple='stack'`: This parameter specifies that the histograms should be stacked on top of each other rather than displayed side by side. This is useful for comparing the distribution of different `Income` levels within each `workclass` category.\n",
    "\n",
    "- `plt.xlabel('Workclass')`: Sets the label for the x-axis as \"Workclass\", indicating the variable being plotted.\n",
    "  \n",
    "- `plt.title('Workclass')`: Sets the title of the plot as \"Workclass\", providing a brief description of the data being visualized.\n",
    "\n",
    "Therefore, this code segment generates a stacked histogram plot showing the distribution of `workclass` categories based on `Income` levels.\n"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "c562ed08e33abff9"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0.5, 1.0, 'Workclass and Income distribution Count')"
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 1600x800 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 8))\n",
    "sns.histplot(data=train_data, x='workclass', hue='Income')\n",
    "plt.xlabel('Workclass')\n",
    "plt.title('Workclass and Income distribution Count')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:48.737995600Z",
     "start_time": "2024-06-09T10:52:48.467803500Z"
    }
   },
   "id": "8685e35fc007dfb",
   "execution_count": 12
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Final Weight\n",
    "\n",
    "The following code generates a stacked histogram plot to visualize the distribution of the 'Final Weight' variable in the dataset:\n",
    "\n",
    "- `plt.figure(figsize=(16, 8))`: Sets the size of the figure to (16, 8) inches, adjusting the aspect ratio for better visualization.\n",
    "\n",
    "- `sns.histplot()`: This Seaborn function creates a histogram plot. It bins the data of a single variable (`fnlwgt` in this case) and displays the count of observations in each bin. \n",
    "\n",
    "  - `x='fnlwgt'`: Specifies the variable to be plotted along the x-axis, which here is 'fnlwgt' representing the final weight.\n",
    "\n",
    "  - `data=train_data`: Specifies the dataset to be used, assumed to be a DataFrame containing the data to be plotted.\n",
    "\n",
    "  - `hue='Income'`: Differentiates the data based on another categorical variable (`Income`). It uses different colors for different categories of income levels.\n",
    "\n",
    "  - `multiple='stack'`: Specifies that the histograms should be stacked on top of each other, rather than displayed side by side. This facilitates comparison of the distribution of different income levels within each 'Final Weight' category.\n",
    "\n",
    "- `plt.title('Final Weight distribution')`: Sets the title of the plot as \"Final Weight distribution\", providing a brief description of the data being visualized.\n",
    "\n",
    "- `plt.xlabel('Final Weight')`: Labels the x-axis as \"Final Weight\", indicating the variable being plotted.\n",
    "\n",
    "Therefore, this code segment generates a stacked histogram plot showing the distribution of 'Final Weight' categories based on 'Income' levels.\n"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "112ebcbaac0a179d"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0.5, 0, 'Final Weight')"
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 1600x800 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 8))\n",
    "sns.histplot(x='fnlwgt', data=train_data, hue='Income', multiple='stack')\n",
    "plt.title('Final Weight distribution')\n",
    "plt.xlabel('Final Weight')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:49.370275300Z",
     "start_time": "2024-06-09T10:52:48.739071100Z"
    }
   },
   "id": "7d081c650896b8e5",
   "execution_count": 13
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Education\n",
    "\n",
    "Education is important to people's income. Let's analyze the data:"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "7142efd81c9edb1f"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "education\n10th             641\n11th             840\n12th             292\n1st-4th          121\n5th-6th          239\n7th-8th          451\n9th              374\nAssoc-acdm       752\nAssoc-voc        970\nBachelors       3742\nDoctorate        297\nHS-grad         7367\nMasters         1193\nPreschool         39\nProf-school      414\nSome-college    5060\ndtype: int64"
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.groupby('education').size()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:49.375072700Z",
     "start_time": "2024-06-09T10:52:49.365431600Z"
    }
   },
   "id": "f6175360d1969ae7",
   "execution_count": 14
  },
  {
   "cell_type": "markdown",
   "source": [
    "-------------------------\n",
    "#### Education distribution\n",
    "\n",
    "Now we try to get a pie chart to see the distribution of education levels in the train_data dataset \n",
    "Each wedge of the pie represents a different education level, and the percentage label on each wedge indicates the proportion of that education level in the dataset."
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "b639a93b0292003d"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "([<matplotlib.patches.Wedge at 0x1a1552137d0>,\n  <matplotlib.patches.Wedge at 0x1a155379e50>,\n  <matplotlib.patches.Wedge at 0x1a15537b450>,\n  <matplotlib.patches.Wedge at 0x1a15537ad50>,\n  <matplotlib.patches.Wedge at 0x1a15538a290>,\n  <matplotlib.patches.Wedge at 0x1a15538bbd0>,\n  <matplotlib.patches.Wedge at 0x1a15539cb10>,\n  <matplotlib.patches.Wedge at 0x1a15539e050>,\n  <matplotlib.patches.Wedge at 0x1a15539f790>,\n  <matplotlib.patches.Wedge at 0x1a15538b9d0>,\n  <matplotlib.patches.Wedge at 0x1a1553ae490>,\n  <matplotlib.patches.Wedge at 0x1a1553afbd0>,\n  <matplotlib.patches.Wedge at 0x1a1553bd350>,\n  <matplotlib.patches.Wedge at 0x1a1553be950>,\n  <matplotlib.patches.Wedge at 0x1a1553bff50>,\n  <matplotlib.patches.Wedge at 0x1a1553c96d0>],\n [Text(1.0957092707827263, 0.09706283491010402, '10th'),\n  Text(1.0532813867675739, 0.3171723826075915, '11th'),\n  Text(0.9911972823427058, 0.47699889672454643, '12th'),\n  Text(0.9624522419653586, 0.5326215184686542, '1st-4th'),\n  Text(0.9348489282998876, 0.5797046500215016, '5th-6th'),\n  Text(0.8755726206513547, 0.665862287538286, '7th-8th'),\n  Text(0.7943614867485447, 0.7609138113943272, '9th'),\n  Text(0.6671890525013423, 0.874562043666635, 'Assoc-acdm'),\n  Text(0.4428440100989255, 1.006920643705105, 'Assoc-voc'),\n  Text(-0.25628861215194265, 1.0697271368350114, 'Bachelors'),\n  Text(-0.7828400880541888, 0.7727621862742186, 'Doctorate'),\n  Text(-1.057927635929925, -0.3013123248984682, 'HS-grad'),\n  Text(-0.124516921239224, -1.0929297947833179, 'Masters'),\n  Text(0.061980178912668216, -1.0982524561420084, 'Preschool'),\n  Text(0.13039015779217245, -1.0922446643270602, 'Prof-school'),\n  Text(0.8431251170817835, -0.7064984337886595, 'Some-college')],\n [Text(0.5976596022451234, 0.05294336449642037, '2.8%'),\n  Text(0.5745171200550403, 0.173003117785959, '3.7%'),\n  Text(0.5406530630960212, 0.2601812163952071, '1.3%'),\n  Text(0.5249739501629228, 0.2905208282556296, '0.5%'),\n  Text(0.509917597254484, 0.3162025363753645, '1.0%'),\n  Text(0.47758506580982973, 0.3631976113845196, '2.0%'),\n  Text(0.43328808368102434, 0.4150438971241785, '1.6%'),\n  Text(0.36392130136436845, 0.47703384199998267, '3.3%'),\n  Text(0.24155127823577752, 0.5492294420209662, '4.3%'),\n  Text(-0.13979378844651416, 0.5834875291827335, '16.4%'),\n  Text(-0.42700368439319386, 0.42150664705866464, '1.3%'),\n  Text(-0.577051437779959, -0.1643521772173463, '32.3%'),\n  Text(-0.06791832067594036, -0.5961435244272641, '5.2%'),\n  Text(0.03380737031600084, -0.5990467942592772, '0.2%'),\n  Text(0.07112190425027587, -0.5957698169056691, '1.8%'),\n  Text(0.4598864274991546, -0.3853627820665415, '22.2%')])"
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 1600x800 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 8))\n",
    "plt.pie(train_data.groupby('education').size(), labels=train_data.groupby('education').size().index, autopct='%1.1f%%')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:49.534444500Z",
     "start_time": "2024-06-09T10:52:49.376172700Z"
    }
   },
   "id": "57836e2036cce019",
   "execution_count": 15
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### Distribution of education and income\n",
    "Now we will see the relationship of education and the Income"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "9c06f2d791813cbf"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Axes: xlabel='education', ylabel='count'>"
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 1500x800 with 1 Axes>",
      "image/png": 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X2607e/Zsvfrqq5ozZ46efvppVa9eXe+//77+/PNP9enTR9WqVdNzzz2XpUOKk463tWrVsk0rUKCAypYtq5EjR2rkyJGSbg8T2L17t22ZBQsWqGHDhvL19VXXrl1TPW7nRIcPH5abm5u+++47VatWzW7e5s2bNWHCBA0fPjzZeinta9LtO8BeffVV2/Y7f/78LP8MGXX06FF5enomm757925169ZNkvTss8/aDRtZs2aNmjZtqqpVq6p9+/Y6cOBAqnXs2LFDrVq1sjvGDRw4UJ988okkx/Wjq+vtv/XmyZPHNkzr+eefV506dbRnzx4lJCRo2bJlat68uapWrarmzZvbjoFnz561Hf/feeedVIePpnW8S+vcJqW+D169elVjxoxRo0aN5Ovrq06dOtntv9KDnR8zQ2r7WFBQkGrXrm37fUhS3bp1dfLkSV26dEldu3bVnj17tHbtWrt+vnjxogYMGCA/Pz/VqVNHEyZMUEJCgmWfKaed57p27apBgwbZTdu7d6+8vb1t21ta28nff/+tcePG6ZlnnlH16tUVGBioP/74I8N9eKfUtpHUru1nz56tOXPm6Ny5c2kOpTPGaMSIEXrhhRdUu3Ztu3nZdTu7H6n1Yc+ePZOdx5ydnRUXF6ebN2/myPPZY489pueee842nDg9x8JffvlFHTt2VLVq1dSwYUPNmDFDCQkJGjFihNauXas9e/bYju2pnQOkjH0/W7NmTYrXWj///LPat28vX19fPffcc5o5c6bd8SCzffrpp4qKitLw4cN19uxZ2/DUbt262Q2X3LZtm1q1aqUqVaqoZcuWaV6jFi9eXFevXtW///1vGWN09OhR7du3z7Y9ZqftLK1rgPR8X128eLGaNm2qKlWqKCAgQHPnzrULWu+1vSVJ6/iS1nkgre/pD8zggTVp0sTMmjXLbtqBAwdMvXr1zMqVK40xxrzxxhumXbt25vfffzdnzpwx3377ralcubJZunSpMcaYa9eumfr165uePXuaQ4cOmcOHD5sOHTqYwMBAY4wxw4cPN15eXuadd94xYWFhZteuXaZevXrm7bffNsYY8/fff5vnnnvODBo0yISEhJijR4+aESNGGH9/fxMREWErI6m8GzdumEaNGpnAwEBz4MABExISYvr162dq1qxpzp49a1fnwoULzYkTJ8z58+fNhAkTTIcOHcwff/xhTp8+baZNm2Z8fHzMmTNnMtR3gYGBZvjw4SnOu7O9P/zwg6lYsaLx9fU1vXv3NvPnzzcHDhwwiYmJadYxceJEU6dOHbNp0yYTGhpqxo4da7y9vW1l79q1y3h5eZnOnTub8PBwExwcbCIiIoyvr6+ZPHmyOXnypDl+/LgZNmyYqVy5srl48aIxxphPP/3UVK9e3axfv96EhYWZjz76yHh5ed1Xm/v27WsaNWpkfv75Z3PixAkza9Ys4+3tbX788UdjjDGrV682Pj4+pnv37ubo0aNm69atxsfHx/j7+5slS5aYsLAw8+6775rKlSuby5cvG2OMmTZtmmnSpIn5+eefzalTp8w333xjqlevbj7//PN79lFcXJxp3bq1adeunQkKCjKhoaGmV69epmnTpiY+Pt5s2rTJVKxY0cydO9ecOHHCbN682TzzzDOmb9++tjK8vLzM6tWrjTHGzJo1yzRp0sQYY0xiYqLp2LGj6d69u/n9999NaGiomTZtmqlcubI5fPiwMcaYn376yVSqVMksWrTInDhxwqxcudJUrVrVeHl5pauMpH1w8uTJpmPHjrY2xcTEGH9/f7tlNm3aZKpUqWLWrVtnzp49a/bv32/at29v2rRpY4wxJj4+3tStW9dMnz7dnD592vzxxx+mffv2pnv37sYYY/766y/TsGFDM3HiRHPlypV0fb5Zs2YZLy8v8+GHH5rTp0+b8PBws3z5chMQEGD27dtnzp49a/71r38ZLy8vs3fv3nRt035+fiYqKspcuXLFVK5c2Xz00Ufpan9ISIipXLmy+eGHH8y5c+fM9u3bjb+/v5k7d64x5vaxq3Llymbs2LEmNDTU7Ny507Ro0cK0a9fOxMfHG2OMGT16tKlbt6754YcfzKlTp8z06dNNlSpVTFhYWIrtTc/+tGHDBlOxYkWzaNEiEx4ebv7973+bKlWqmNWrV5u4uDjTsmVL07FjR/PHH3+Y3377zbzwwgvJtrnKlSubIUOGmBMnTphvvvnGeHl5maefftqsXbvWhIaGmj59+pg6deqk67iREUFBQcbLy8uEhobapsXHx5v69eubbt26mWXLlhkvLy8TGRlpYmJibNtFnz59TEhIiDlw4IBp3ry56dy5c5a0Lzu487h+p6Tj8J3nkrv3NWNuH2f8/PzM2rVrzenTp83cuXONl5eX+e9//2vVR7gvrVu3Nt26dTOdO3c29erVM506dTLbtm0zMTExZuPGjcbLy8scOHDAREVFmdWrVxsvLy/TsWNHc+DAAXP06FHTsWNH07hx43uWf+PGDePl5WW++eYbM3LkSFO/fn3TokULM3/+fNv+mtX9mNI1UEREhBk4cKDx8/Mz586dM02aNDFVqlQxv/76qzl48KCJiYkxH374ofH39zffffedCQ8PN5999pntuig+Pt5ERkYaLy8vs2zZMvPXX3+lWHdax7u0zm1p7YPx8fGmXbt2plWrVmb37t3m+PHj5r333jOVK1c2Bw4cMMaY+z4/ZrW797FWrVqZyZMn2y1z/Phx4+XlZQ4ePGiuXLliOnbsaN58801bPzdp0sRUqlTJLFu2zJw+fdp8/fXXxsvLy3z99deWfAZjct55bs2aNcbX19fcuHHDNm3UqFGmU6dOxpj0bSdJ2+b27dvNyZMnbdfxV69ezdS+vXsbSe3a/ubNm2bixImmYcOGJjIy0tY/KVmyZIlp1aqV7fyWdB1ojMm221lG3etcliQ2Nta0a9fOtG/f3hiTvc9nKR3DkyxcuNB4eXmZ69evp3ks/O2330zFihXNpEmTTGhoqNm2bZupXbu2mTVrlrl+/bp58803TceOHU1kZKQxxqR6DjAmY9/PoqKikl1rbdu2zfj6+povvvjCnDp1yvzyyy+mWbNmZuDAgVnSn3/99ZepWrWqWbZsmTHm9vHqwIEDxsvLy2zcuNHcvHnT9tmaNWtmdu3aZU6cOGH69etnqlWrZm7evHnPsuPi4sy7775rKlasaCpVqmS8vLzMW2+9ZbuudcR2ltFrgLS+r27ZssX4+/ubHTt2mHPnzpkNGzaYypUrm3Xr1hljUt/ektqV2vElPeeB9HxPT/qumhEEcZmgSZMmpnLlysbPz8/4+fmZypUrGy8vL/PSSy/ZTsj/+te/zJEjR+zWe+mll8zIkSONMcZ88cUXxs/Pz+5kGxISYqZOnWpiYmLM8OHDTf369U1CQoJt/rhx40yLFi2MMcZ89dVXpk6dOiYuLs42PyEhwW7nuPOksWLFCuPr62t3cRsVFWXq169vJk2aZFve39/frs19+/Y13bp1M9euXTPG3D64bN++3Vy/fj1DfRcYGGh8fHxsfXfnPx8fH7uT3P79+83gwYNN7dq1jZeXl+0AFhQUdM/yb926ZTv4JklMTDTt2rVLFsRt3rzZtsypU6fMwoUL7b6wh4aG2oKSxMREU79+fTNjxgy7+l544YV0tzmpvJ9++smujH79+pkOHToYY/63g9/5xb59+/Z2YVNSOb/99pv5+++/TdWqVW0HiCQff/yx3QXR3bZv3268vLzMiRMnbNMiIiLMxIkTzV9//WVefPFF889//tNunR9//NF4eXmZ48ePG2PuHcT997//Nd7e3rYTQpIuXbrYQtguXbqYwYMH281PCjbTU0bSdn7o0CHj7e1tC59/+ukn07x5c2PM/04Ue/bsMd9++61dOStXrjQVK1Y0xhhz9epV4+3tbT7//HPb/nb69Gmzf/9+2/J37lfp+XxJX/bu3E8+/PBD06pVK3PhwgXbtF9//dVcunTJpCYuLs48/fTTZsiQIbZpffr0MbVr1zbR0dFptv/HH380VapUMQcPHrStf/DgQdvv/s0337RdOCYJCQkxXl5eZuvWrebGjRumcuXKZtWqVXbLTJs2zXYxdre09idjjHn55ZftPpMxxnz55Zdmw4YNtu3z1KlTtnnBwcHJtrlKlSrZfQmqU6eOXZlbt241Xl5edn2emWJiYsw//vEP06VLFxMREWGioqLMpEmTjI+Pj+nRo0eyE3ZSeHhnm5cuXWp8fX2zpH3Zwf0EccYkv8Dz8vJKFirUrFnTLFiwIGsa/ADi4uJM5cqVzQsvvGB27txpDh06ZCZOnGi8vb3Nf//732SfOaXj/aZNm4yXl9c9jwt//vmn8fLyMv7+/mb27NkmODjYrF692tSoUcPu/JSV/Xj3NVCVKlWMl5eXadGihdm6dattmf79+9vWSTqO/Otf/7Ira/z48aZevXq2Y0VaAVZax7u0zm1p7YNJx4yjR4/a5icmJpq2bdvavsTd7/kxq929jzVt2tTMnDnTbpnTp0/bHX/v/qNokyZNzJtvvmm3TuvWrc3o0aOzrN13yonnub///tv2ZdeY//0h8KuvvjLGpL2dhIWFGS8vL/PLL7/Y5kdHR5uPPvrIhIeHp7Pn0ufubSSta/u7Q7WUhISEmBo1apiQkJB7rpPdtrMHkVoQFxcXZwYNGmSqVKlit71k1/NZakHcl19+aby8vMy3336b5rFw8ODBdt9PjDHmP//5j1mxYoUxJvkNIWmdAzLy/cyY5OHIK6+8Yj788EO7enbu3JniNUdmmD17tnn66adNVFSUbdqZM2eMl5eX2bVrlzHmf9c8SedIY4w5fPiw7Y9z9xIREWFeffVVM2/ePHP48GHz9ddfm1q1apmPP/7YtozV21lGrgHS83116dKlpn79+nbHv71795pz584ZY9Le3tI6vqR1Hrif7+kZxTPiMkmnTp1st4DGx8fr1KlTmjFjhrp06aKvv/5anTt31k8//aS1a9fq5MmTCg0N1dmzZ/XUU09J+t9zZAoXLmwrs2LFiqpYsaLt5zJlysjZ+X+jiQsXLmy7pT04OFjXrl2Tv7+/XbtiYmIUFhaWrL1J9RUrVsw2zd3dXb6+vjp27JhtWtmyZe3W6927t9544w3Vq1dPvr6+ql+/vlq3bq1HHnnkvvssSUBAgIYOHZps+tSpU3X16lXbz35+fvLz81NiYqKOHDmibdu26fPPP1fv3r31448/6tdff9Xo0aNty9esWVODBg1SdHS0/Pz8bNOdnJxUs2ZNu2G4kuye91CmTBm1b99ey5cv17Fjx3T69Gnb8gkJCbpy5YouXryoqlWr2pXh5+dn19+ptfnDDz+0tfNO/v7+mj59ut20MmXK2P6fP39+lS5d2vZz3rx5JUmxsbEKDQ1VTEyM3nrrLbttJT4+XrGxsYqOjtaAAQO0b98+27wxY8bo4sWLKly4sMqXL2+bXqpUKdtt9seOHVPLli3t2pQ07ODYsWOqUKGC7uXw4cMyxqhJkyZ202NjY21DeQ8fPqxmzZol64ektx6lpwxJqlKlip588klt3LhR3bp10/fff5+s3f7+/goLC9PcuXN14sQJnTp1SkePHrW9YbBw4cLq1auXxo0bp1mzZqlu3bpq1KiRWrRokeHPJ92+nfzO/aRLly7avHmzGjVqpEqVKql+/fpq2bKlihcvfs++lG7fxn7p0iW7z9WyZUv9/PPP+uGHH9S2bdtU29+gQQNVr15dL774op544gnVr19fzz77rKpUqSLp9u+zfv36dnVWrFhRjzzyiI4ePapixYopLi4u2bCMIUOGSJJ69eqVbPtq06ZNqvtTUr13/65efvllSbdvTS9cuLDdflCpUiW74f9JfVywYEHbz/nz57dbJ2n5rBqOkCdPHs2ZM0fDhg1Tw4YN5ebmptatW6tJkyZ2+2NqbS5UqJClQ9pyorufzVOoUCG7fS27cHV11e7du+Xi4mLb9qpUqaLjx49r8eLF6t27d4rr3fn5ChUqJOn28Ijvvvsu2Tlu4sSJkqSnn37a9syYSpUq6fLly5o7d67efPPNe76oJjP78c5rIGdnZxUpUiTZdcGd1xMnTpxQXFxcsvNf7dq19dlnn+mvv/7So48+ajfv008/tRtO07p1a40dOzbV492xY8dSPbdJqe+Dx44d0yOPPCIvLy/bfCcnJ9WqVUs7duywLZPR86MV3N3dkx3zkn7P+fPnv+d6d28fhQsXtmw/y6nnuX/84x9av3692rZtq23btik2NtZuW0xtO0k6R9x5vZo3b17bMLusdD/X9ufPn0/2OXbt2qWhQ4eqb9++dt9b0sOR21lWuHnzpgYNGqQ9e/Zozpw58vX1TXX57H4+S3pRw+nTp9N1LLx7v2revHmK5abnHJDkfr6fpSQ4OFgHDx5M9hgf6fYQ+CeeeCLVPrhf69atU9u2bZNdo6bkznPTnef7oKAgu2uExx57TBs2bNC7776r0qVLq2/fvpIkHx8fGWP0wQcfKDAw0O57/Z2yeju732uA9HxfbdOmjVavXq3mzZurQoUKevrpp9W8eXM99thjktK3vaV2fEnrPPD3339LSt/39IwiiMskhQsXttvAPD09VbhwYXXu3Fn//e9/tWLFCh0/flytWrXS888/r8qVK+u9996zLX/nszvuxcXF5Z7zEhMTVb58edszYe6U0oWWuceDLBMTE+3acvdBpHr16tq2bZt+/fVX7dy5U+vWrdMnn3yiRYsWqV69eml+hpQkPUMppelXr15VRESE5s+frz59+sjDw0POzs7y8fGRj4+PmjZtqlatWmnv3r0KCAiwu2hyd3e3jfO+1+e9U1KgJd0+QHTu3FmVK1fW008/rWbNmqlo0aJ66aWXJMn2xebucpP6Lj1tvhdjTLLtwc3Nze7ne32pT2rPzJkzbSHvnfLkyaPx48fbfdEvXry43dvTUiv3TknBVVrbbmJiogoWLJjiq7OTHl7r6upqKy8jZdz5gNIWLVroP//5jzp27KgtW7Yke3PX+vXrNWLECLVu3Vo1atRQp06ddOzYMY0dO9a2zNChQ9W5c2dt27ZNO3fu1Lhx47Ro0SKtW7cu2QN30/P5pOT7Urly5bRp0ybt2bNHv/76q7Zu3aqFCxfaHu56L0n1pPSyj1WrVqlt27aptj9v3rxavny5goODbW84euONN9S2bVtNmDDhnvuKMUZubm7JtsW7pbR9pbU/SalvR05OTiluH2ntJ9K995Ws4unpqdWrV+vq1atydXVVwYIF9eKLL6pu3bopLp/acR0pS6nP0nOMd4QCBQokm/Z///d/ti8uKbnX50vpHFe0aFHlzZvX7stRUh23bt3S5cuX7xnuZ2Y/3n0NlJI7j4GpXYNIKR8POnXqZPcHkaTwLLXj3YNeW6V2PEwq+0HOj1bw8PBQZGSk3bSkn0uVKnXP9Ry5n+XE85wktW/fXt27d9elS5e0fv16NW3a1LadprWdWH2uutP9XNuXLFlS69ats5t24MABHT9+XHPmzNHcuXMl3X7GXnx8vKpXr66FCxfaPTv1TjnpeJ6WyMhI9e7dW+fOndPixYuT3RyRkuz++Q8fPqxy5crd82UTdx4L7+d4dz/ngPv5fnavMnv16pXitfWdLxjIDEeOHNGZM2fUunXrdC2f0n5vjFGVKlXs9rOk/ti3b5+GDRtmt7yfn5/i4+N19uzZewZxWb2dZfQaILXvq+7u7vr222+1f/9+/frrr9qxY4eWL1+uf/7znxowYECGz+9Jdad1HriXlL6nZxQva8hCSb/gP/74Q9u3b9fHH3+soUOHqk2bNipTpoxOnz5tW6ZChQo6efKk3SuiDx8+rHr16ikiIiLNury8vHT+/Hk98sgjKlu2rMqWLavHHntM06ZN0969e5Mt7+3trZMnT9r9xSEmJkZ//PFHqn+9nTVrlvbt26dnn31Wo0aN0saNG213IGWVPHny6Ouvv07xhQNJfz149NFHVbBgQdtnL1u2rEqVKqWyZcvK3d1dv//+u916aT38etWqVSpevLiWLl2q3r17q1GjRrYXYxhjVLRoUZUuXdruL6KSbA/VTU+bk96id3cZQUFBGf4L+lNPPSVXV1edP3/eri+2bdumxYsXy9nZ2dYvSf8KFiyoChUq6Nq1a3YPsL58+bLq1Kmj33//Xd7e3snewBcUFCRJKT6I/E5eXl66efOm4uLi7OpduHChtmzZIun2XyDu/p3s37//vspI0qJFC/32229avXq1nnzyyWTtW7BggV588UVNnDhRXbp0kb+/v86cOSPp9u/2xIkTGj16tIoXL65XXnlFs2bN0qJFixQWFpbsLsr7bdudli9frk2bNql+/foaNmyY1q9fr3r16un777+/5zp//fWXtm3bpvbt22vdunV2/zp06KD9+/fryJEjqbZ/27ZtmjNnjnx8fPT6669r+fLlGjhwoK1eb2/vZNvkkSNHdPPmTXl6eqps2bJyc3NL9rKNl19+WcuWLUtx+0prf5Jub0d3lzlhwgQNHDhQlSpV0o0bN3T8+HHbvJMnT+rmzZv37CtHuHnzpgIDA3XkyBEVKVJEBQsW1NmzZxUcHKz69evf884kPJyOHz+uGjVqJHuYddJ59n63h5TOcS4uLqpRo0ay4+fRo0dVqFAhFSlS5EE/Rpbw9PSUm5tbiue/EiVK2I0OSFKkSBG7z1+8ePE0j9dpndvS4u3trRs3btiNFDDGaN++fbbz9IOcH63g7++vffv22d0tsmvXLpUvXz7NO7AdIaee5yTZ3vD77bffauvWrWrfvr1t3bS2k6Rt5c464+PjFRAQkOwlVJktrWv7O49Vrq6udp+9bNmy8vX11aZNm/Ttt9/afledOnWyhXZJdyI+zK5du6bu3bvr8uXLWrFiRbpCuOwuIiJCW7ZsUevWrdN1LEzpOu6zzz5LdhND0rL3ew6Q0v5+dnc90u0/TIWHh9ttsxEREZo8ebLtrqfMEhQUpOLFiye7M/R+z/fu7u527U16c3ipUqV09OhRu2WPHj0qJyenNIOw7CQ931e/++47ffHFF6pZs6YGDhyor776Si+99JLtOJ7W9paWtM4DSS8Vyczv6XcjiMskt27d0sWLF3Xx4kVFRkYqKChIH330kUqWLKmXXnpJrq6u+uGHH3TmzBkdOnRIgwYN0sWLF23DBVq3bq3ChQvr7bff1pEjR/THH39o9OjR8vLykoeHR5r1t2nTRoULF9bAgQN14MABhYWFacSIEdq+fbvdmyeTtG7dWkWKFNGgQYN08OBBHTlyREOHDtWtW7fUsWPHe9Zz5swZjR49Wjt37tS5c+e0ceNGnT9/XtWrV89456WhWLFi6tWrlz7++GPNmDFDISEhOnPmjH7++WcNGDBAderUuedf2vLly6euXbtq1qxZ2rx5s8LDwzVp0qQ0gzgPDw9FRERo27ZtOnfunDZt2qQPPvhA0v+GtfXu3VsrVqzQ119/rfDwcM2cOVMHDx68rzY3adJEY8aM0datWxUeHq45c+Zoy5Yt6tmzZ4b66pFHHlGnTp308ccf69tvv9WZM2f0zTffaMqUKbbgLyX16tVTlSpVNHz4cB08eFDHjx/X8OHDVaxYMVWuXFm9evXSpk2bNG/ePIWHh+vnn3/WuHHj1KRJkzS/aDRo0ECVKlXS4MGDtWvXLp06dUoTJkzQmjVrbOv27t1b//nPf7R06VKdPHlSq1ev1ueff35fZSSpVKmSypYtq2nTpiUbPiFJpUuX1m+//abDhw/r9OnTWrZsma2u2NhYFS1aVBs2bND777+vsLAwhYeHa+3atSpcuLDtrzYFChSwvXHuftp2p8uXL2vs2LHasmWLzp07p19++UUhISGp7kvfffed4uPj1bt3b3l5edn9e+ONN+Ts7Kwvvvgi1fa7ublp7ty5WrZsmc6cOaM//vhDW7dutdXbo0cPHT16VOPGjVNYWJh2796toUOHysfHR/Xq1VO+fPkUGBiojz/+WFu2bNHp06c1ffp0HTt2TA0bNkyx3enZn15//XV9//33+te//qXTp09r/fr1+uKLLxQQEKA6deqoWrVqGjZsmH7//XcdOnRIw4YNc+gdBCkpWLCgjDEaP368jh8/rkOHDqlv376qW7eu6tWrZ7s7+Y8//mD4aTrdua/lNJ6ennrqqac0duxYBQUFKSwsTBMmTNDvv/+uvn372raHI0eOPNCXgb59++qXX37R7Nmzdfr0aX3//fdasGCBunfvbvtrcHbrx4IFC6pjx46aNWuW/v3vf+vUqVNasWKFVq5cqZ49e6b7S0tax+u0zm1peeaZZ1SpUiW99dZb2rNnj8LCwjR27FgdO3ZM3bt3l6QHOj9aoUOHDrp586beffddhYaGas2aNVq2bJn69OljW6ZAgQI6d+5cuv7wm9Vy6nlOuv1lu23btpo7d66KFStmdyd0WttJ+fLl1axZM40ZM0a7du1SeHi43nvvPcXExCR7A2lmS+vaPn/+/Lp27ZrCw8MVFxeXbP27Q4OyZcuqcOHCttAu6U6Y7LSdZbYJEybozJkzmjJliooVK2b7Tnjx4kVbCJ7djsN3uvN77JkzZ7R582b16tVLTzzxhHr06JHuY+Hvv/+ujz/+WCdPntS2bds0b948NW7cWNLt7SgyMlJnzpzJ8DkgPdeTd19r9e7dWxs3btScOXMUHh6unTt3auTIkbpx40am3xEXHByc4vfupDYdO3bM7qab+9WjRw99/fXXWr58ue33NHHiRHXu3NkWXmbn7SxJer6vxsTEaNKkSVq3bp3Onj2roKAg7d2713ZcSmt7S0ta5wFPT89M/55+N8ffM/+QWLJkiZYsWSLpf2Oja9WqpalTp6pUqVKaOHGiZs+erRUrVqhEiRJq3LixXn31Vf3000+SbgdGixcv1oQJE9SpUye5u7urcePGyV6FfS+PPPKIPv/8c02ePFmvvfaaEhISVLlyZS1ZsiTFC8Gk5SdOnKhXX31V0u0x0F988YWefPLJe9YzevRoTZo0SW+//bauXr2qxx9/XEOHDtULL7xwnz12fwYNGqRy5crpq6++0ooVKxQdHa3HHntMLVq0sLuYTMmbb76puLg4jRo1SlFRUWrSpImeffbZVMfGd+vWTSdOnNCwYcMUGxurcuXKaciQIZo1a5YOHTqkhg0bqkuXLkpMTNQnn3xiC2RefPFFhYeHp7vN06dP1/Tp0/Xuu+/q+vXr8vLy0uzZs/Xcc89luK9GjhypokWL6uOPP1ZkZKRKly6tgQMHqlevXvdcx9nZWfPmzdOECRPUo0cPOTk5qW7dulq0aJHc3NzUvHlzTZ8+XZ988onmzZunYsWKqVWrVho4cGCa7XFxcdGSJUs0ZcoUDRo0SFFRUfL09NScOXNsQx4aNmyosWPHav78+Zo2bZqqVKmiV155xRaQpaeMO7Vo0UKffPKJnn/++WTz3nvvPb3//vsKDAxUnjx5VLFiRU2ePFmDBw/WoUOHVKtWLS1cuFDTpk3Tyy+/rISEBPn5+Wnp0qW2v3p37dpVkyZN0vHjx/Xdd9/dV9uSDBgwQHFxcfrwww918eJFlShRQq+88kqq2/OaNWv09NNPp3gbd5kyZdS0aVNt2LBB8+fP14wZM1Js/9NPP63x48dryZIlmjFjhtzd3dWoUSONGDFCklStWjUtWrRIM2fOVNu2bVWwYEE1bdpUb731lu1W7SFDhsjFxUWjR4/WjRs3VLFiRS1YsCDFdknp258CAgI0duxYLVy4UJMmTdLjjz+ukSNHqm3btpKk+fPn68MPP1TPnj3l7u6uPn366Ny5c/fsK0eZPn26xo0bp1deeUV58uRRs2bN9Pbbb0uS6tatq2rVqqlTp06aMmWKg1uaM9y9r+Ukzs7O+vTTTzVt2jQNGjRI169fl4+Pj5YuXSovLy/FxsaqUaNGGjRokIYMGZLhu9fq1Klj2+fnz5+vEiVK6PXXX7c75mfHfkw6V02dOlWXLl1SuXLl9P7779ueDZkeRYsWTfN4ndq5LS1J555JkyZpwIABio2NVZUqVbRs2TLbs7we5PxoheLFi2vRokUaP3682rVrpxIlSmjYsGF2w7Q6deqk4cOHq02bNtq5c6cDW5tzz3NJ2rVrpzlz5qhr1652fyxKz3by0UcfafLkyXrzzTcVGxuratWqafHixfccbpZZ0rq2b9asmb766iu1adNGn3/+ebJn56VXdtrOMlNCQoK+//57xcXF2UKpO23ZskVPPPFEtjwOJ7nze6ybm5tKly6t559/Xj179rQ9YiGtY2GlSpU0d+5czZo1SwsXLlTJkiXVrVs32/PM2rZtqx9//FGtWrXSpk2bMnQOSM/15N3XWi1atLCdHz/99FMVKVLkns8nf1AXL15M8VxetGhRdejQQZMnT9apU6cy/D2vY8eOyps3r5YuXarp06erVKlS6ty5s93z5LLzdnantL6vvvTSS7p69armzZunP//8U4ULF1bz5s1tv7e0tre0pOc8kBXf0+/kZLLTQHQgC/z444+qWbOm3YVMz5495eHhoY8++siBLUOSPXv26NFHH7W7wP3000/1zTffaPPmzQ5sGQAAAAAAmSd7jesBssDixYv11ltv2YaHLlu2TLt27VKbNm0c3TT8fzt27NBrr72mXbt26fz589qyZYs+++yzLL/TEgAAAAAAK3FHHB56Z8+e1cSJE7V3715FR0erQoUKeuONNzLttlI8uNjYWE2ePFmbNm3S5cuXVbp0ab344ovq1asXb5UEAAAAADw0COIAAAAAAAAACzA0FQAAAAAAALAAQRwAAAAAAABgAYI4AAAAAAAAwAIEcQAAAAAAAIAFCOIAAABgGd4TBgAAcjOCOAAAgFzi7Nmz8vb21po1ayyvOyIiQq+//rrOnTtnmxYQEKARI0ZY3hYAAABHcXV0AwAAAPDw++9//6tt27bZTZszZ44KFizooBYBAABYjyAOAAAADuHj4+PoJgAAAFiKoakAAAA51Ndff62WLVuqSpUqaty4sWbPnq2EhATb/E2bNqlNmzby9fVVu3btdOTIEbv116xZI29vb509e9Zu+t1DRmNjYzVz5kw9++yz8vX1VatWrbR27Vrb/ISEBC1YsECtWrWSr6+v/Pz81KlTJ+3atctWz8iRIyVJzz77rK3su+u5ceOGJkyYoKZNm6pq1apq1aqVvvnmm2RtmzVrliZNmqSnn35avr6+eu2113Ty5MkH6EkAAABrcEccAABADjR//nzNmDFDgYGBGjlypEJCQjR79mz9+eef+uijj/TTTz9p4MCBat26td5++22FhITo7bffzlBdQ4cO1bZt29S3b19Vq1ZN27Zt04gRI+Tm5qZWrVpp6tSp+uKLL/TWW2/J29tbFy5c0Ny5c/Xmm29q69ataty4sfr27atPPvlEc+bMkbe3d7I6oqOj1blzZ/31118aOHCgHn/8cW3evFnvvvuuLl26pDfeeMO27PLly1WzZk1NmDBB165d0/jx4zV8+HB9+eWXGe5PAAAAKxDEAQAA5DA3btzQvHnz1LFjR40aNUqS9Mwzz6hIkSIaNWqUevTooblz58rX11dTpkyRJDVo0ECSNG3atPuq69ixY9q4caPeeecdde/eXZJUr149nTt3Trt371arVq0UGRmpwYMHq2vXrrb18ubNq3/+8586evSo/Pz8VKZMGUlSpUqV9MQTTySrZ82aNTp27JhWrVql6tWr29ocHx+vefPmqVOnTipSpIgkqVChQpo3b55cXFwkSadPn9bs2bN15coVFS1a9L4+HwAAgJUYmgoAAJDD7N+/X9HR0QoICFB8fLztX0BAgCTpp59+0uHDh9WkSRO79Vq0aHHfde3bt0+S1KxZM7vps2fP1rhx4yTdDve6d++uy5cvKygoSKtXr9Z3330n6faw1vTYs2ePHn/8cVsIl6RNmzaKiYnRgQMHbNOqVq1qC+EkycPDQ5IUFRV1n58OAADAWtwRBwAAkMNcvXpVkvT666+nOP/s2bMyxiS7O6xkyZIZrqt48eL3XObQoUMaM2aMDh06pHz58qlChQp67LHHJEnGmHTVc+3/tXf3LK2kYRjHr0gCBpOIEDsL3yARfEGiBCwEwcLaxkptIiKJRizELxBRosJEkYCVGAQhNoJFDERMZaH4CVQEFYMiOWLARt3ikBxCdllZ2Nnj8v/BNPfMPDPPU15zz8yPH6qvr6+ou91uSdLLy0upZrfby46pqvr5bPnj4+NL1wIAAPivEMQBAAB8My6XS5K0srKixsbGiv1ut1vJZFJPT09l9WKoVmSxWCRVBliFQqHiWs/Pz6XOM0m6vLxUPp+Xx+NRIBCQx+PR4eGhmpubVVVVpZOTE6VSqS/Pqba2Vjc3NxX1x8dHSeKVUwAA8L/Aq6kAAADfTFdXl2w2m3K5nDo6Okqb1WrV2tqabm9v1d3draOjo7KOtEwmUzaOw+GQJD08PJRqxYCtyOfz/em5KysrikQiurq6Uj6f19jYmFpbW0vdadlsVtKvkK9Y/yu9vb26u7vTxcVFWf3g4EA2m02dnZ1/uy4AAAC/OzriAAAAvpm6ujoFAgEZhqHX11f5/X7lcjkZhiGLxSKv16u5uTmNj48rFAppZGRE19fXisfjZeP4/X5VV1draWlJ4XBYhUJBsVis9FMESfJ6vRoaGlI0GtXb25va2tqUzWZ1fHysjY0NNTU1yeFwKB6Py2q1ymq1KpVKKZlMSvr13bZiZ106nVZ/f79aWlrK7mV4eFi7u7sKBoOamZlRQ0ODMpmM9vf3FQqFSucDAAB8Z3TEAQAAfEOzs7NaWFhQOp3WxMSEotGofD6fEomEnE6nenp6tLW1pVwup1AopL29PS0uLpaN4XK5tL6+rvf3dwWDQRmGoWAwqPb29rLjotGoRkdHtb29rcnJSZ2enioWi2lwcFBOp1Obm5v6/PxUOBzW/Py87u/vlUgkVFNTo7OzM0k/Q7++vj6trq5qeXm5Yj52u107OzsaGBiQYRiamprS+fm5IpGIpqen/72FBAAAMJHl86tf0AUAAAAAAADwj9ERBwAAAAAAAJiAIA4AAAAAAAAwAUEcAAAAAAAAYAKCOAAAAAAAAMAEBHEAAAAAAACACQjiAAAAAAAAABMQxAEAAAAAAAAmIIgDAAAAAAAATEAQBwAAAAAAAJiAIA4AAAAAAAAwAUEcAAAAAAAAYII/AEnym5G2YqutAAAAAElFTkSuQmCC"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 8))\n",
    "sns.countplot(x='education', data=train_data, hue='Income')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:49.862930700Z",
     "start_time": "2024-06-09T10:52:49.529169200Z"
    }
   },
   "id": "d1d00601d79165ed",
   "execution_count": 16
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### Distribution of Education Year and Income"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "cc0aa4f5c8b9432b"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Axes: xlabel='education.num', ylabel='count'>"
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 1500x800 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 8))\n",
    "sns.countplot(x='education.num', data=train_data, hue='Income')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:50.175722Z",
     "start_time": "2024-06-09T10:52:49.858608400Z"
    }
   },
   "id": "8348b8789bdb9b25",
   "execution_count": 17
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### marital status"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "f60e0c0d2706c8c9"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "marital.status\n",
      "Divorced                  3103\n",
      "Married-AF-spouse           17\n",
      "Married-civ-spouse       10452\n",
      "Married-spouse-absent      291\n",
      "Never-married             7499\n",
      "Separated                  736\n",
      "Widowed                    694\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Axes: xlabel='marital.status', ylabel='count'>"
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 1500x800 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(train_data.groupby('marital.status').size())\n",
    "plt.figure(figsize=(15, 8))\n",
    "sns.countplot(data=train_data, x='marital.status', hue='Income')\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:50.426436200Z",
     "start_time": "2024-06-09T10:52:50.177859700Z"
    }
   },
   "id": "7acd2b07dcf07566",
   "execution_count": 18
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### Occupation"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "7dfce67479282764"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "occupation\n",
      "?                    1283\n",
      "Adm-clerical         2652\n",
      "Armed-Forces            7\n",
      "Craft-repair         2876\n",
      "Exec-managerial      2772\n",
      "Farming-fishing       706\n",
      "Handlers-cleaners     960\n",
      "Machine-op-inspct    1433\n",
      "Other-service        2349\n",
      "Priv-house-serv       110\n",
      "Prof-specialty       2907\n",
      "Protective-serv       453\n",
      "Sales                2505\n",
      "Tech-support          629\n",
      "Transport-moving     1150\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": "Text(0.5, 1.0, 'Occupation Distribution')"
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 1500x1200 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(train_data.groupby('occupation').size())\n",
    "plt.figure(figsize=(15, 12))\n",
    "plt.pie(train_data.groupby('occupation').size(), labels=train_data.groupby('occupation').size().index, autopct='%1.1f%%')\n",
    "plt.title('Occupation Distribution')\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:50.639775200Z",
     "start_time": "2024-06-09T10:52:50.427476600Z"
    }
   },
   "id": "37ac0764e0767224",
   "execution_count": 19
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### Occupation Distribution"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "2f948f006d1eb863"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0.5, 1.0, 'Occupation Distribution')"
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 2600x800 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(26, 8))\n",
    "sns.histplot(data=train_data, x='occupation', hue='Income', multiple='stack', alpha=0.5)\n",
    "plt.xlabel('Occupation')    \n",
    "plt.title('Occupation Distribution')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:51.069961600Z",
     "start_time": "2024-06-09T10:52:50.636451Z"
    }
   },
   "id": "648984ff6df95f16",
   "execution_count": 20
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### Relationship"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "9034c72510e9c3f3"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "relationship\n",
      "Husband           9207\n",
      "Not-in-family     5807\n",
      "Other-relative     709\n",
      "Own-child         3581\n",
      "Unmarried         2401\n",
      "Wife              1087\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Axes: xlabel='relationship', ylabel='Count'>"
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 1400x800 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(train_data.groupby('relationship').size())\n",
    "plt.figure(figsize=(14, 8))\n",
    "sns.histplot(data=train_data, x='relationship', hue='Income', multiple='stack')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:51.304471500Z",
     "start_time": "2024-06-09T10:52:51.069961600Z"
    }
   },
   "id": "bac205a5341346",
   "execution_count": 21
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### Race and Sex"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "ef29b2d7f02ebaba"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "race\n",
      "Amer-Indian-Eskimo      212\n",
      "Asian-Pac-Islander      742\n",
      "Black                  2169\n",
      "Other                   193\n",
      "White                 19476\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 1600x800 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sex\n",
      "Female     7534\n",
      "Male      15258\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": "Text(0.5, 1.0, 'Sex x Income')"
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 1600x800 with 1 Axes>",
      "image/png": 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UlsAJAAAAABSWwAkAAAAAFJbACQAAAAAUlsAJAAAAABSWwAkAAAAAFJbACQAAAAAUlsAJAAAAABSWwAkAAAAAFJbACQAAAAAUlsAJAAAAABSWwAkAAAAAFJbACQAAAAAUlsAJAAAAABSWwAkAAAAAFJbACQAAAAAUlsAJAAAAABSWwAkAAAAAFJbACQAAAAAUlsAJAAAAABSWwAkAAAAAFJbACQAAAAAUlsAJAAAAABSWwAkAAAAAFJbACQAAAAAUlsAJAAAAABSWwAkAAAAAFJbACQAAAAAUlsAJAAAAABSWwAkAAAAAFJbACQAAAAAUlsAJAAAAABSWwAkAAAAAFJbACQAAAAW37nqtU7Wwqr7HAFYQ/31/scb1PQAAAADw1bRaa400Km+UK4+7LW9PnVHf4wB16Gud22XERfvX9xgNmsAJAAAAq4i3p87Ia5P+Vd9jAKxUblEHAAAAAApL4AQAAAAACkvgBAAAAAAKS+AEAAAAAApL4AQAAAAACkvgBAAAAAAKS+AEAAAAAApL4AQAAAAACkvgBAAAAAAKS+AEAAAAAApL4AQAAAAACkvgBAAAAAAKS+AEAAAAAApL4AQAAAAACkvgBAAAAAAKS+AEAAAAAApL4AQAAAAACkvgBAAAAAAKS+AEAAAAAApL4AQAAAAACkvgBAAAAAAKS+AEAAAAAApL4AQAAAAACkvgBAAAAAAKS+AEAAAAAApL4AQAAAAACkvgBAAAAAAKS+AEAAAAAApL4AQAAAAACkvgBAAAAAAKS+AEAAAAAApL4AQAAAAACkvgBAAAAAAKS+AEAAAAAApL4AQAAAAACkvgBAAAAAAKS+AEAAAAAApL4AQAAAAACkvg/P+qqqpy2WWXpX///unZs2cOOeSQvPnmm/U9FgAAAADwBQTO/++qq67K7bffnjPPPDN33HFHqqqqMmzYsMybN6++RwMAAAAAlkLgTDJv3ryMHTs2Rx55ZAYMGJDNN988o0ePzvTp0/PII4/U93gAAAAAwFIInEkmT56czz77LP369ave1qpVq3Tt2jXPPfdcPU4GAAAAAHyRslKpVKrvIerbI488kp/97Gd54YUX0qxZs+rtRx11VObMmZNrr732S63317/+NaVSKRUVFXU9aoNXVlaWD97/OPPnL6jvUYA61KxZ06y1dsvM+uDTLJy/sL7HAepQeUV5Wq3TMl4Srj68XoNVk9drsOpaXV+vzZ8/P2VlZendu/cyj228EuZp8CorK5MkTZo0qbG9adOm+fjjj7/0emVlZTX+5+pmnTZr1fcIwArSap2W9T0CsIKsrq9bVlder8Gqy+s1WHWtbq/XysrKlvs5C5xJ9VWb8+bNq3EF59y5c9O8efMvvV6vXr3qbDYAAAAAYOm8B2eSDh06JElmzpxZY/vMmTPTrl27+hgJAAAAAFgOAmeSzTffPC1btsyECROqt82aNSuTJk1Knz596nEyAAAAAOCLuEU9n7/35uDBgzNq1Kiss846WX/99XPhhRemffv22WWXXep7PAAAAABgKQTO/+/II4/MggULcsopp2TOnDnp06dPxowZs1p+EjoAAAAAFEVZaXX7jHkAAAAAYJXhPTgBAAAAgMISOAEAAACAwhI4AQAAAIDCEjgBAAAAgMISOAEAAACAwhI4AQAAAIDCEjgBAAAAgMISOAFWIwMHDkyXLl1y4403LnH/qaeemi5duuTyyy9f7vWW91gAgNXdAQcckC5duizx3/nnn18vM7311lvp0qVLJkyYUC+PD1AXGtf3AACsXBUVFXn44Ydz0EEH1di+YMGCPPLIIykrK6unyQAAVn277bZbTj755MW2N2/evB6mAVg1CJwAq5l+/frlT3/6U6ZPn5727dtXb3/mmWfSokULL64BAFagZs2aZb311qvvMQBWKW5RB1jNdO/ePV/72tfy0EMP1dj++9//PrvttluNKzjvvvvu7LnnnunevXt69uyZH//4x3nppZeWuvZf//rX7L///unevXsGDBiQ008/PZ9++ukKey4AAKuSUqmU66+/Pt/+9rfTo0ePfPe7383vfve76v0TJkxI165d8+ijj+a//uu/0r179wwZMiTvvPNOzjrrrGy99dbp169frr766upz5s2bl/PPPz8DBw7MN77xjfTt2zdHHXVUPvjgg6XOMX78+Oy2227p3r17dtttt9x0002pqqpaoc8d4KsQOAFWQ7vttluNwDlv3rw89thj2X333au3PfrooznjjDMybNiwPPjggxk3blzmzp2bU045ZYlrTp48OQcddFD69++f3/3udxk1alT+8Y9/5OCDD06pVFrhzwkAoOhGjx6dX//61/nlL3+Z+++/P0OGDMlpp52W2267rfqYhQsX5uqrr86oUaNy0003ZfLkyfnud7+bioqK3H333dlvv/1yySWX5J///GeS5IILLsgjjzyS8847Lw8//HDOO++8PPPMMzUi6L+78847c8EFF+SII47IAw88kKOPPjrXX399Ro0atVJ+BgC14RZ1gNXQbrvtljFjxmTGjBlp165dnnrqqayzzjrp2rVr9TFrr712zj777Oy1115JkvXXXz8/+MEPcsYZZyxxzTFjxmS77bbLYYcdliTZaKONctFFF2WnnXbKs88+m2222WbFPzEAgAbu/vvvz8MPP1xj21ZbbZXLLrss48aNy8UXX5wBAwYkSTp27Jh//etfGTNmTPbff//q44866qh069YtSbLtttvmhRdeyMiRI1NWVpbhw4fnqquuyv/8z/+kS5cu6datW3bddddsvfXWST5/TffNb34zr7zyyhLnu+qqq/LTn/60+g/fG2ywQT799NOcfvrpOeqoo9K0adO6/pEAfGUCJ8Bq6Bvf+EY22GCDPPzwwxkyZEh+//vf17h6M0n69OmTqVOn5sorr8yrr76a119/Pf/85z+XenvSpEmT8vrrr6dXr16L7Zs6darACQCQZODAgTn++ONrbGvWrFmmTJmSuXPn5rjjjkujRv97s+WCBQsyb968zJkzp3rbhhtuWP11ixYt8vWvf736bYaaNWuW5PM7dJLku9/9bv7v//2/GTVqVF577bW8+uqrmTZtWnXw/HcffPBBpk+fnosvvjiXXnpp9faqqqrMnTs3b731Vjp37lwHPwWAuiVwAqymFt2m/sMf/jCPP/547r777hr777///px44onZc88907t37+y333555ZVXlnoFZ1VVVfbcc8/qKzj/3TrrrLNCngMAQNGsscYaNQLlItOnT0+SXHLJJdl4440X29+kSZPqrxs3rvn/yv97EP1Pp556ah5++OF873vfy8CBAzNixIjqO3n+06I/ZJ900kn55je/udj+Dh06LPVxAOqTwAmwmtptt91y3XXXZfz48dlggw0W+2v8ddddlx/84Ac5/fTTq7c9/vjjST5/A/x//zCiJNl0000zZcqUGi/Yp06dmgsvvDDHHnts1lxzzRX4bAAAim3jjTdO48aN8/bbb2fHHXes3n7zzTdnypQpS/0j8xf58MMPc+edd2b06NH5zne+U7391VdfTYsWLRY7vk2bNllnnXXy5ptv1nhN9/vf/z6PPvpozj///C89A8DK4EOGAFZTW2yxRTbccMNcdNFFi92ennz+F/q//vWv+cc//pE33ngj48aNy6233prkf295+ncHH3xwJk2alNNPPz1Tp07N888/n+OOOy6vvfZaNtpooxX9dAAACm3NNdfMfvvtl0svvTT33Xdf3nzzzfzmN7/JhRdemLZt29ZqzZYtW2bNNdfM448/Xv12Q7/85S/zj3/8Y4mv58rKynLIIYfklltuya233po33ngjjz76aE477bQ0a9asxlWkAA2JKzgBVmO77bZbrr766hp/0V/kl7/8ZU499dQMHjw4TZo0yeabb54LLrggxxxzTF566aXF3repZ8+eueGGG3LppZdm0KBBadGiRfr165cTTjjBi2EAgOVw0kknpXXr1rn00kszc+bMdOjQIUceeWSGDRtWq/UqKipy6aWX5rzzzsuee+6ZtdZaK9tss02OPfbYXHvttamsrFzsnIMPPjhNmzbNLbfckvPOOy/rrrtu9t133xx55JFf9ekBrDBlpVKpVN9DAAAAAADUhlvUAQAAAIDCEjgBAAAAgMISOAEAAACAwhI4AQAAAIDCEjgBAAAAgMISOAEAAACAwhI4AQAAAIDCEjgBAAAAgMISOAEAAACAwhI4AQAAAIDCEjgBAFhl/P3vf89PfvKTbLXVVunVq1cOPPDA/O1vf6veP3HixAwePDg9evRI3759c8IJJ+SDDz5IkixcuDA/+MEPss0221RvS5ITTzwxPXv2zKuvvrqynw4AAMtB4AQAYJXw6aefZtiwYWndunUuv/zyjB49OpWVlRk6dGg++eSTPPfccznwwAPTrFmzXHLJJfnFL36RZ599NkOGDMmcOXNSXl6e8847L7Nnz87555+fJHnsscfy29/+NiNHjszGG29cz88QAIAlaVzfAwAAQF2YMmVKPvzwwwwZMiS9e/dOkmy88ca5884789lnn+Wiiy5Kp06dcu2116a8vDxJ0qNHj+y+++4ZP3589t9//2yyySb52c9+losuuig77bRTTjvttAwYMCA//vGP6/OpAQDwBcpKpVKpvocAAICv6rPPPstOO+2UhQsXZtddd03//v2z3XbbpUWLFqmsrEzv3r0zdOjQHH300TXOGzRoUDbYYINcddVVST6/Vf1HP/pRXnrppbRu3Tr3339/2rRpUw/PCACA5eEKTgAAVglrrLFGbrvttlx99dV58MEHc+edd6ZZs2b57ne/m+HDh6eqqirXX399rr/++sXObdq0afXX5eXl2WuvvfLCCy+ke/fu4iYAQAMncAIAsMrYeOONc+GFF2bhwoV58cUXc9999+XXv/512rVrl7Kyshx44IHZfffdFzuvefPm1V+/++67ufzyy7PFFlvkiSeeyEMPPZRdd911ZT4NAAC+BB8yBADAKuGhhx7Ktttum3fffTfl5eXp1atXTjvttLRq1Srvv/9+unbtmldffTXdunWr/rfpppvm8ssvz4QJE6rXOfXUU1NeXp5x48bl29/+dk4//fQan6oOAEDDInACALBK6N27d6qqqjJixIg89thjefrpp3Pqqafmk08+yS677JJjjz02f/7zn3Pcccflj3/8Y/77v/87w4YNy9NPP50tt9wySXLvvffmv//7v/OLX/wia6+9dk499dTMnTs3p512Wv0+OQAAlsqHDAEAsMp48cUXc+mll+bvf/97Kisrs+mmm+awww7LzjvvnCR5+umnc8UVV+Tvf/97KioqsuWWW+ZnP/tZtt5668yYMSN77LFHevXqleuuu656zVtuuSVnnXVWLrroouyxxx719dQAAFgKgRMAAAAAKCy3qAMAAAAAhSVwAgAAAACFJXACAAAAAIUlcAIAAAAAhSVwAgAAAACFJXACAAAAAIUlcAIAAAAAhSVwAgAAAACFJXACAAAAAIUlcAIAAAAAhSVwAgAAAACFJXACAAAAAIX1/wAgQ7wCh6Cw/AAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 8))\n",
    "print(train_data.groupby(train_data.race).size())\n",
    "sns.countplot(data=train_data, x='race', hue='Income')\n",
    "plt.title('Race x Income')\n",
    "plt.show()\n",
    "plt.figure(figsize=(16, 8))\n",
    "print(train_data.groupby(train_data.sex).size())\n",
    "sns.countplot(data=train_data, x='sex', hue='Income')\n",
    "plt.title('Sex x Income')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:51.731606900Z",
     "start_time": "2024-06-09T10:52:51.301214100Z"
    }
   },
   "id": "ed5e1d2b496b5ed4",
   "execution_count": 22
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### Hours per week\n",
    "![Hours per week](Img/HoursPerWeek.png \"AWS\")"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "aab0040aa4e252c6"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "hours.per.week\n1     15\n2     24\n3     25\n4     39\n5     37\n      ..\n92     1\n94     1\n95     2\n98     7\n99    55\nLength: 92, dtype: int64"
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.groupby('hours.per.week').size()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:51.741195800Z",
     "start_time": "2024-06-09T10:52:51.732690300Z"
    }
   },
   "id": "82221c46f216ae0",
   "execution_count": 23
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### Native Country\n",
    "![Country](Img/Country.png \"AWS\")"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "9d6b6df2c524b545"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "native.country\n?                               423\nCambodia                         14\nCanada                           75\nChina                            59\nColumbia                         38\nCuba                             70\nDominican-Republic               45\nEcuador                          21\nEl-Salvador                      73\nEngland                          68\nFrance                           19\nGermany                          91\nGreece                           19\nGuatemala                        48\nHaiti                            24\nHonduras                          8\nHong                             14\nHungary                           8\nIndia                            61\nIran                             27\nIreland                          17\nItaly                            56\nJamaica                          56\nJapan                            45\nLaos                             12\nMexico                          462\nNicaragua                        20\nOutlying-US(Guam-USVI-etc)       11\nPeru                             17\nPhilippines                     142\nPoland                           40\nPortugal                         24\nPuerto-Rico                      85\nScotland                          8\nSouth                            54\nTaiwan                           31\nThailand                         15\nTrinadad&Tobago                  15\nUnited-States                 20418\nVietnam                          47\nYugoslavia                       12\ndtype: int64"
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.groupby('native.country').size()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:51.747174900Z",
     "start_time": "2024-06-09T10:52:51.738836200Z"
    }
   },
   "id": "1b7eab35a2c5e073",
   "execution_count": 24
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Corresponding Map:\n",
    "\n",
    "1. Data Preprocessing:\n",
    "\n",
    "\n",
    "2. from sklearn.preprocessing import LabelEncoder: Imports the LabelEncoder class from the sklearn.preprocessing module. This class is used for encoding categorical features as numeric labels.\n",
    "3. train_data = train_data.drop(['education','fnlwgt'],axis=1): Drops the columns 'education' and 'fnlwgt' from the DataFrame train_data.\n",
    "4. train_data.replace('?',np.NaN,inplace=True): Replaces any occurrences of '?' with NaN (missing values) in the DataFrame train_data.\n",
    "5. train_data.fillna(method='ffill',inplace=True): Fills missing values using forward fill method, where missing values are replaced using the last valid observation along the column.\n",
    "\n",
    "\n",
    "6. Label Encoding:\n",
    "\n",
    "\n",
    "7. le = LabelEncoder(): Initializes a LabelEncoder object.\n",
    "8. Encodes categorical variables into numerical labels using fit_transform method of LabelEncoder for each categorical column in the DataFrame train_data.\n",
    "\n",
    "\n",
    "9. Visualization:\n",
    "\n",
    "\n",
    "10. sns.barplot(x='income',y='age',data=train_data): Creates a bar plot using Seaborn to visualize the relationship between 'income' (x-axis) and 'age' (y-axis) in the train_data DataFrame.\n",
    "11. sns.heatmap(train_data.corr()): Generates a heatmap using Seaborn to visualize the correlation matrix of the features in the train_data DataFrame.\n"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "4aaebdded565ca90"
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Axes: >"
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 2 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "\n",
    "train_data = train_data.drop(['education','fnlwgt'],axis=1)\n",
    "train_data.head(1)\n",
    "\n",
    "train_data.replace('?',np.NaN,inplace=True)\n",
    "train_data.head()\n",
    "\n",
    "train_data.fillna(method='ffill',inplace=True)\n",
    "\n",
    "le = LabelEncoder()\n",
    "train_data['workclass'] = le.fit_transform(train_data['workclass'])\n",
    "train_data['marital.status'] = le.fit_transform(train_data['marital.status'])\n",
    "train_data['occupation'] = le.fit_transform(train_data['occupation'])\n",
    "train_data['relationship'] = le.fit_transform(train_data['relationship'])\n",
    "train_data['race'] = le.fit_transform(train_data['race'])\n",
    "train_data['sex'] = le.fit_transform(train_data['sex'])\n",
    "train_data['native.country'] = le.fit_transform(train_data['native.country'])\n",
    "train_data['income'] = le.fit_transform(train_data['Income'])\n",
    "\n",
    "sns.barplot(x='income',y='age',data=train_data)\n",
    "train_data.head()\n",
    "sns.heatmap(train_data.corr())"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-09T10:52:52.813402Z",
     "start_time": "2024-06-09T10:52:51.750417800Z"
    }
   },
   "id": "956fa98808108ed2",
   "execution_count": 25
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}