Week1.EDA.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3f5e1c21",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bafa2fa7",
   "metadata": {},
   "outputs": [],
   "source": [
    "os.chdir(r\"C:/Users/user/OneDrive/문서/ToBig's/Session1/Tobigs18기_1주차_EDA&GIT 강의자료\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f25406f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Attrition</th>\n",
       "      <th>BusinessTravel</th>\n",
       "      <th>DailyRate</th>\n",
       "      <th>Department</th>\n",
       "      <th>DistanceFromHome</th>\n",
       "      <th>Education</th>\n",
       "      <th>EducationField</th>\n",
       "      <th>EmployeeCount</th>\n",
       "      <th>EmployeeNumber</th>\n",
       "      <th>...</th>\n",
       "      <th>RelationshipSatisfaction</th>\n",
       "      <th>StandardHours</th>\n",
       "      <th>StockOptionLevel</th>\n",
       "      <th>TotalWorkingYears</th>\n",
       "      <th>TrainingTimesLastYear</th>\n",
       "      <th>WorkLifeBalance</th>\n",
       "      <th>YearsAtCompany</th>\n",
       "      <th>YearsInCurrentRole</th>\n",
       "      <th>YearsSinceLastPromotion</th>\n",
       "      <th>YearsWithCurrManager</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>41</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>1102</td>\n",
       "      <td>Sales</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
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       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>49</td>\n",
       "      <td>No</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>279</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>37</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>1373</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Other</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>33</td>\n",
       "      <td>No</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>1392</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>27</td>\n",
       "      <td>No</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>591</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
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       "      <td>4</td>\n",
       "      <td>80</td>\n",
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       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
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       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "      <th>1465</th>\n",
       "      <td>36</td>\n",
       "      <td>No</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>884</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>23</td>\n",
       "      <td>2</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2061</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>80</td>\n",
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       "      <td>17</td>\n",
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       "    </tr>\n",
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       "      <th>1466</th>\n",
       "      <td>39</td>\n",
       "      <td>No</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>613</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2062</td>\n",
       "      <td>...</td>\n",
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       "      <td>80</td>\n",
       "      <td>1</td>\n",
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       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1467</th>\n",
       "      <td>27</td>\n",
       "      <td>No</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>155</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
       "      <td>2064</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1468</th>\n",
       "      <td>49</td>\n",
       "      <td>No</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>1023</td>\n",
       "      <td>Sales</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2065</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1469</th>\n",
       "      <td>34</td>\n",
       "      <td>No</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>628</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2068</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1470 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Age Attrition     BusinessTravel  DailyRate              Department  \\\n",
       "0      41       Yes      Travel_Rarely       1102                   Sales   \n",
       "1      49        No  Travel_Frequently        279  Research & Development   \n",
       "2      37       Yes      Travel_Rarely       1373  Research & Development   \n",
       "3      33        No  Travel_Frequently       1392  Research & Development   \n",
       "4      27        No      Travel_Rarely        591  Research & Development   \n",
       "...   ...       ...                ...        ...                     ...   \n",
       "1465   36        No  Travel_Frequently        884  Research & Development   \n",
       "1466   39        No      Travel_Rarely        613  Research & Development   \n",
       "1467   27        No      Travel_Rarely        155  Research & Development   \n",
       "1468   49        No  Travel_Frequently       1023                   Sales   \n",
       "1469   34        No      Travel_Rarely        628  Research & Development   \n",
       "\n",
       "      DistanceFromHome  Education EducationField  EmployeeCount  \\\n",
       "0                    1          2  Life Sciences              1   \n",
       "1                    8          1  Life Sciences              1   \n",
       "2                    2          2          Other              1   \n",
       "3                    3          4  Life Sciences              1   \n",
       "4                    2          1        Medical              1   \n",
       "...                ...        ...            ...            ...   \n",
       "1465                23          2        Medical              1   \n",
       "1466                 6          1        Medical              1   \n",
       "1467                 4          3  Life Sciences              1   \n",
       "1468                 2          3        Medical              1   \n",
       "1469                 8          3        Medical              1   \n",
       "\n",
       "      EmployeeNumber  ...  RelationshipSatisfaction StandardHours  \\\n",
       "0                  1  ...                         1            80   \n",
       "1                  2  ...                         4            80   \n",
       "2                  4  ...                         2            80   \n",
       "3                  5  ...                         3            80   \n",
       "4                  7  ...                         4            80   \n",
       "...              ...  ...                       ...           ...   \n",
       "1465            2061  ...                         3            80   \n",
       "1466            2062  ...                         1            80   \n",
       "1467            2064  ...                         2            80   \n",
       "1468            2065  ...                         4            80   \n",
       "1469            2068  ...                         1            80   \n",
       "\n",
       "      StockOptionLevel  TotalWorkingYears  TrainingTimesLastYear  \\\n",
       "0                    0                  8                      0   \n",
       "1                    1                 10                      3   \n",
       "2                    0                  7                      3   \n",
       "3                    0                  8                      3   \n",
       "4                    1                  6                      3   \n",
       "...                ...                ...                    ...   \n",
       "1465                 1                 17                      3   \n",
       "1466                 1                  9                      5   \n",
       "1467                 1                  6                      0   \n",
       "1468                 0                 17                      3   \n",
       "1469                 0                  6                      3   \n",
       "\n",
       "     WorkLifeBalance  YearsAtCompany YearsInCurrentRole  \\\n",
       "0                  1               6                  4   \n",
       "1                  3              10                  7   \n",
       "2                  3               0                  0   \n",
       "3                  3               8                  7   \n",
       "4                  3               2                  2   \n",
       "...              ...             ...                ...   \n",
       "1465               3               5                  2   \n",
       "1466               3               7                  7   \n",
       "1467               3               6                  2   \n",
       "1468               2               9                  6   \n",
       "1469               4               4                  3   \n",
       "\n",
       "      YearsSinceLastPromotion  YearsWithCurrManager  \n",
       "0                           0                     5  \n",
       "1                           1                     7  \n",
       "2                           0                     0  \n",
       "3                           3                     0  \n",
       "4                           2                     2  \n",
       "...                       ...                   ...  \n",
       "1465                        0                     3  \n",
       "1466                        1                     7  \n",
       "1467                        0                     3  \n",
       "1468                        0                     8  \n",
       "1469                        1                     2  \n",
       "\n",
       "[1470 rows x 35 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HR_att = pd.read_csv(\"HR_Employee_Attrition.csv\")\n",
    "HR_att"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "736bc2ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1470, 35)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HR_att.shape "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9dbea192",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1470 entries, 0 to 1469\n",
      "Data columns (total 35 columns):\n",
      " #   Column                    Non-Null Count  Dtype \n",
      "---  ------                    --------------  ----- \n",
      " 0   Age                       1470 non-null   int64 \n",
      " 1   Attrition                 1470 non-null   object\n",
      " 2   BusinessTravel            1470 non-null   object\n",
      " 3   DailyRate                 1470 non-null   int64 \n",
      " 4   Department                1470 non-null   object\n",
      " 5   DistanceFromHome          1470 non-null   int64 \n",
      " 6   Education                 1470 non-null   int64 \n",
      " 7   EducationField            1470 non-null   object\n",
      " 8   EmployeeCount             1470 non-null   int64 \n",
      " 9   EmployeeNumber            1470 non-null   int64 \n",
      " 10  EnvironmentSatisfaction   1470 non-null   int64 \n",
      " 11  Gender                    1470 non-null   object\n",
      " 12  HourlyRate                1470 non-null   int64 \n",
      " 13  JobInvolvement            1470 non-null   int64 \n",
      " 14  JobLevel                  1470 non-null   int64 \n",
      " 15  JobRole                   1470 non-null   object\n",
      " 16  JobSatisfaction           1470 non-null   int64 \n",
      " 17  MaritalStatus             1470 non-null   object\n",
      " 18  MonthlyIncome             1470 non-null   int64 \n",
      " 19  MonthlyRate               1470 non-null   int64 \n",
      " 20  NumCompaniesWorked        1470 non-null   int64 \n",
      " 21  Over18                    1470 non-null   object\n",
      " 22  OverTime                  1470 non-null   object\n",
      " 23  PercentSalaryHike         1470 non-null   int64 \n",
      " 24  PerformanceRating         1470 non-null   int64 \n",
      " 25  RelationshipSatisfaction  1470 non-null   int64 \n",
      " 26  StandardHours             1470 non-null   int64 \n",
      " 27  StockOptionLevel          1470 non-null   int64 \n",
      " 28  TotalWorkingYears         1470 non-null   int64 \n",
      " 29  TrainingTimesLastYear     1470 non-null   int64 \n",
      " 30  WorkLifeBalance           1470 non-null   int64 \n",
      " 31  YearsAtCompany            1470 non-null   int64 \n",
      " 32  YearsInCurrentRole        1470 non-null   int64 \n",
      " 33  YearsSinceLastPromotion   1470 non-null   int64 \n",
      " 34  YearsWithCurrManager      1470 non-null   int64 \n",
      "dtypes: int64(26), object(9)\n",
      "memory usage: 402.1+ KB\n"
     ]
    }
   ],
   "source": [
    "HR_att.info() # 1470개의 행, 35개의 변수(column)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a29fceb0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 범주형(명목형, 순서형) 변수 object type으로 바꾸기 \n",
    "HR_att['Education'] = HR_att['Education'].astype(object)\n",
    "HR_att['EnvironmentSatisfaction'] = HR_att['EnvironmentSatisfaction'].astype(object)\n",
    "HR_att['JobInvolvement'] = HR_att['JobInvolvement'].astype(object)\n",
    "HR_att['JobLevel'] = HR_att['JobLevel'].astype(object)\n",
    "HR_att['JobSatisfaction'] = HR_att['JobSatisfaction'].astype(object)\n",
    "HR_att['PerformanceRating'] = HR_att['PerformanceRating'].astype(object)\n",
    "HR_att['RelationshipSatisfaction'] = HR_att['RelationshipSatisfaction'].astype(object)\n",
    "HR_att['StockOptionLevel'] = HR_att['StockOptionLevel'].astype(object)\n",
    "HR_att['WorkLifeBalance'] = HR_att['WorkLifeBalance'].astype(object)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "2df8d12d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>nan_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Age</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Attrition</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BusinessTravel</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DailyRate</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Department</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DistanceFromHome</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Education</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EducationField</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EmployeeCount</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EmployeeNumber</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EnvironmentSatisfaction</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gender</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HourlyRate</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JobInvolvement</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JobLevel</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JobRole</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JobSatisfaction</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MaritalStatus</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MonthlyIncome</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MonthlyRate</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumCompaniesWorked</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Over18</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OverTime</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PercentSalaryHike</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PerformanceRating</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RelationshipSatisfaction</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StandardHours</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StockOptionLevel</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TotalWorkingYears</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TrainingTimesLastYear</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WorkLifeBalance</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearsAtCompany</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearsInCurrentRole</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearsSinceLastPromotion</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearsWithCurrManager</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          nan_count\n",
       "Age                               0\n",
       "Attrition                         0\n",
       "BusinessTravel                    0\n",
       "DailyRate                         0\n",
       "Department                        0\n",
       "DistanceFromHome                  0\n",
       "Education                         0\n",
       "EducationField                    0\n",
       "EmployeeCount                     0\n",
       "EmployeeNumber                    0\n",
       "EnvironmentSatisfaction           0\n",
       "Gender                            0\n",
       "HourlyRate                        0\n",
       "JobInvolvement                    0\n",
       "JobLevel                          0\n",
       "JobRole                           0\n",
       "JobSatisfaction                   0\n",
       "MaritalStatus                     0\n",
       "MonthlyIncome                     0\n",
       "MonthlyRate                       0\n",
       "NumCompaniesWorked                0\n",
       "Over18                            0\n",
       "OverTime                          0\n",
       "PercentSalaryHike                 0\n",
       "PerformanceRating                 0\n",
       "RelationshipSatisfaction          0\n",
       "StandardHours                     0\n",
       "StockOptionLevel                  0\n",
       "TotalWorkingYears                 0\n",
       "TrainingTimesLastYear             0\n",
       "WorkLifeBalance                   0\n",
       "YearsAtCompany                    0\n",
       "YearsInCurrentRole                0\n",
       "YearsSinceLastPromotion           0\n",
       "YearsWithCurrManager              0"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HR_att.isnull().sum().to_frame('nan_count') #결측치 없음"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98603009",
   "metadata": {},
   "source": [
    "## 범주형 변수, 수치형 변수 type별로 탐색"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "10c44a28",
   "metadata": {},
   "outputs": [],
   "source": [
    "HR_ctg = [col for col in HR_att if HR_att[col].dtypes == \"object\"]\n",
    "HR_num = [col for col in HR_att if HR_att[col].dtypes == \"int64\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "66b6d87e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Attrition</th>\n",
       "      <th>BusinessTravel</th>\n",
       "      <th>Department</th>\n",
       "      <th>Education</th>\n",
       "      <th>EducationField</th>\n",
       "      <th>EnvironmentSatisfaction</th>\n",
       "      <th>Gender</th>\n",
       "      <th>JobInvolvement</th>\n",
       "      <th>JobLevel</th>\n",
       "      <th>JobRole</th>\n",
       "      <th>JobSatisfaction</th>\n",
       "      <th>MaritalStatus</th>\n",
       "      <th>Over18</th>\n",
       "      <th>OverTime</th>\n",
       "      <th>PerformanceRating</th>\n",
       "      <th>RelationshipSatisfaction</th>\n",
       "      <th>StockOptionLevel</th>\n",
       "      <th>WorkLifeBalance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1470</td>\n",
       "      <td>1470</td>\n",
       "      <td>1470</td>\n",
       "      <td>1470</td>\n",
       "      <td>1470</td>\n",
       "      <td>1470</td>\n",
       "      <td>1470</td>\n",
       "      <td>1470</td>\n",
       "      <td>1470</td>\n",
       "      <td>1470</td>\n",
       "      <td>1470</td>\n",
       "      <td>1470</td>\n",
       "      <td>1470</td>\n",
       "      <td>1470</td>\n",
       "      <td>1470</td>\n",
       "      <td>1470</td>\n",
       "      <td>1470</td>\n",
       "      <td>1470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>No</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>3</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>3</td>\n",
       "      <td>Male</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sales Executive</td>\n",
       "      <td>4</td>\n",
       "      <td>Married</td>\n",
       "      <td>Y</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1233</td>\n",
       "      <td>1043</td>\n",
       "      <td>961</td>\n",
       "      <td>572</td>\n",
       "      <td>606</td>\n",
       "      <td>453</td>\n",
       "      <td>882</td>\n",
       "      <td>868</td>\n",
       "      <td>543</td>\n",
       "      <td>326</td>\n",
       "      <td>459</td>\n",
       "      <td>673</td>\n",
       "      <td>1470</td>\n",
       "      <td>1054</td>\n",
       "      <td>1244</td>\n",
       "      <td>459</td>\n",
       "      <td>631</td>\n",
       "      <td>893</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Attrition BusinessTravel              Department  Education  \\\n",
       "count       1470           1470                    1470       1470   \n",
       "unique         2              3                       3          5   \n",
       "top           No  Travel_Rarely  Research & Development          3   \n",
       "freq        1233           1043                     961        572   \n",
       "\n",
       "       EducationField  EnvironmentSatisfaction Gender  JobInvolvement  \\\n",
       "count            1470                     1470   1470            1470   \n",
       "unique              6                        4      2               4   \n",
       "top     Life Sciences                        3   Male               3   \n",
       "freq              606                      453    882             868   \n",
       "\n",
       "        JobLevel          JobRole  JobSatisfaction MaritalStatus Over18  \\\n",
       "count       1470             1470             1470          1470   1470   \n",
       "unique         5                9                4             3      1   \n",
       "top            1  Sales Executive                4       Married      Y   \n",
       "freq         543              326              459           673   1470   \n",
       "\n",
       "       OverTime  PerformanceRating  RelationshipSatisfaction  \\\n",
       "count      1470               1470                      1470   \n",
       "unique        2                  2                         4   \n",
       "top          No                  3                         3   \n",
       "freq       1054               1244                       459   \n",
       "\n",
       "        StockOptionLevel  WorkLifeBalance  \n",
       "count               1470             1470  \n",
       "unique                 4                4  \n",
       "top                    0                3  \n",
       "freq                 631              893  "
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HR_att.loc[:,HR_ctg].describe() # 범주형 변수"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "667d355f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>DailyRate</th>\n",
       "      <th>DistanceFromHome</th>\n",
       "      <th>EmployeeCount</th>\n",
       "      <th>EmployeeNumber</th>\n",
       "      <th>HourlyRate</th>\n",
       "      <th>MonthlyIncome</th>\n",
       "      <th>MonthlyRate</th>\n",
       "      <th>NumCompaniesWorked</th>\n",
       "      <th>PercentSalaryHike</th>\n",
       "      <th>StandardHours</th>\n",
       "      <th>TotalWorkingYears</th>\n",
       "      <th>TrainingTimesLastYear</th>\n",
       "      <th>YearsAtCompany</th>\n",
       "      <th>YearsInCurrentRole</th>\n",
       "      <th>YearsSinceLastPromotion</th>\n",
       "      <th>YearsWithCurrManager</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1470.000000</td>\n",
       "      <td>1470.000000</td>\n",
       "      <td>1470.000000</td>\n",
       "      <td>1470.0</td>\n",
       "      <td>1470.000000</td>\n",
       "      <td>1470.000000</td>\n",
       "      <td>1470.000000</td>\n",
       "      <td>1470.000000</td>\n",
       "      <td>1470.000000</td>\n",
       "      <td>1470.000000</td>\n",
       "      <td>1470.0</td>\n",
       "      <td>1470.000000</td>\n",
       "      <td>1470.000000</td>\n",
       "      <td>1470.000000</td>\n",
       "      <td>1470.000000</td>\n",
       "      <td>1470.000000</td>\n",
       "      <td>1470.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>36.923810</td>\n",
       "      <td>802.485714</td>\n",
       "      <td>9.192517</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1024.865306</td>\n",
       "      <td>65.891156</td>\n",
       "      <td>6502.931293</td>\n",
       "      <td>14313.103401</td>\n",
       "      <td>2.693197</td>\n",
       "      <td>15.209524</td>\n",
       "      <td>80.0</td>\n",
       "      <td>11.279592</td>\n",
       "      <td>2.799320</td>\n",
       "      <td>7.008163</td>\n",
       "      <td>4.229252</td>\n",
       "      <td>2.187755</td>\n",
       "      <td>4.123129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9.135373</td>\n",
       "      <td>403.509100</td>\n",
       "      <td>8.106864</td>\n",
       "      <td>0.0</td>\n",
       "      <td>602.024335</td>\n",
       "      <td>20.329428</td>\n",
       "      <td>4707.956783</td>\n",
       "      <td>7117.786044</td>\n",
       "      <td>2.498009</td>\n",
       "      <td>3.659938</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.780782</td>\n",
       "      <td>1.289271</td>\n",
       "      <td>6.126525</td>\n",
       "      <td>3.623137</td>\n",
       "      <td>3.222430</td>\n",
       "      <td>3.568136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>18.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>1009.000000</td>\n",
       "      <td>2094.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>30.000000</td>\n",
       "      <td>465.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>491.250000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>2911.000000</td>\n",
       "      <td>8047.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>80.0</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>36.000000</td>\n",
       "      <td>802.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1020.500000</td>\n",
       "      <td>66.000000</td>\n",
       "      <td>4919.000000</td>\n",
       "      <td>14235.500000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>80.0</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>43.000000</td>\n",
       "      <td>1157.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1555.750000</td>\n",
       "      <td>83.750000</td>\n",
       "      <td>8379.000000</td>\n",
       "      <td>20461.500000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>80.0</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>60.000000</td>\n",
       "      <td>1499.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2068.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>19999.000000</td>\n",
       "      <td>26999.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>80.0</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>17.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Age    DailyRate  DistanceFromHome  EmployeeCount  \\\n",
       "count  1470.000000  1470.000000       1470.000000         1470.0   \n",
       "mean     36.923810   802.485714          9.192517            1.0   \n",
       "std       9.135373   403.509100          8.106864            0.0   \n",
       "min      18.000000   102.000000          1.000000            1.0   \n",
       "25%      30.000000   465.000000          2.000000            1.0   \n",
       "50%      36.000000   802.000000          7.000000            1.0   \n",
       "75%      43.000000  1157.000000         14.000000            1.0   \n",
       "max      60.000000  1499.000000         29.000000            1.0   \n",
       "\n",
       "       EmployeeNumber   HourlyRate  MonthlyIncome   MonthlyRate  \\\n",
       "count     1470.000000  1470.000000    1470.000000   1470.000000   \n",
       "mean      1024.865306    65.891156    6502.931293  14313.103401   \n",
       "std        602.024335    20.329428    4707.956783   7117.786044   \n",
       "min          1.000000    30.000000    1009.000000   2094.000000   \n",
       "25%        491.250000    48.000000    2911.000000   8047.000000   \n",
       "50%       1020.500000    66.000000    4919.000000  14235.500000   \n",
       "75%       1555.750000    83.750000    8379.000000  20461.500000   \n",
       "max       2068.000000   100.000000   19999.000000  26999.000000   \n",
       "\n",
       "       NumCompaniesWorked  PercentSalaryHike  StandardHours  \\\n",
       "count         1470.000000        1470.000000         1470.0   \n",
       "mean             2.693197          15.209524           80.0   \n",
       "std              2.498009           3.659938            0.0   \n",
       "min              0.000000          11.000000           80.0   \n",
       "25%              1.000000          12.000000           80.0   \n",
       "50%              2.000000          14.000000           80.0   \n",
       "75%              4.000000          18.000000           80.0   \n",
       "max              9.000000          25.000000           80.0   \n",
       "\n",
       "       TotalWorkingYears  TrainingTimesLastYear  YearsAtCompany  \\\n",
       "count        1470.000000            1470.000000     1470.000000   \n",
       "mean           11.279592               2.799320        7.008163   \n",
       "std             7.780782               1.289271        6.126525   \n",
       "min             0.000000               0.000000        0.000000   \n",
       "25%             6.000000               2.000000        3.000000   \n",
       "50%            10.000000               3.000000        5.000000   \n",
       "75%            15.000000               3.000000        9.000000   \n",
       "max            40.000000               6.000000       40.000000   \n",
       "\n",
       "       YearsInCurrentRole  YearsSinceLastPromotion  YearsWithCurrManager  \n",
       "count         1470.000000              1470.000000           1470.000000  \n",
       "mean             4.229252                 2.187755              4.123129  \n",
       "std              3.623137                 3.222430              3.568136  \n",
       "min              0.000000                 0.000000              0.000000  \n",
       "25%              2.000000                 0.000000              2.000000  \n",
       "50%              3.000000                 1.000000              3.000000  \n",
       "75%              7.000000                 3.000000              7.000000  \n",
       "max             18.000000                15.000000             17.000000  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HR_att.loc[:,HR_num].describe() # 수치형 변수"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b3846d0",
   "metadata": {},
   "source": [
    "### 1) Categorical variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "094aaeaa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1. Attrition 퇴직여부 (종속변수)\n",
    "HR_att[HR_ctg[0]].value_counts().plot(kind='bar')\n",
    "plt.title(HR_ctg[0])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "73d69f8e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2. BusinessTravel: 출장의 빈도\n",
    "HR_att[HR_ctg[1]].value_counts().plot(kind='bar')\n",
    "plt.title(HR_ctg[1])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "d6f6a2e6",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 3. Department: 업무분야\n",
    "HR_att[HR_ctg[2]].value_counts().plot(kind='bar')\n",
    "plt.title(HR_ctg[2])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "c04ea08e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 4. Education: 교육의 정도\n",
    "HR_att[HR_ctg[3]].value_counts().plot(kind='bar')\n",
    "plt.title(HR_ctg[3])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "ff644411",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 5. EducationField: 전공\n",
    "HR_att[HR_ctg[4]].value_counts().plot(kind='bar')\n",
    "plt.title(HR_ctg[4])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "44acaaff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 6. EnvironmentSatisfaction: 업무 환경에 대한 만족도\n",
    "HR_att[HR_ctg[5]].value_counts().plot(kind='bar')\n",
    "plt.title(HR_ctg[5])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "a5da9d7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 7. Gender: 성별\n",
    "HR_att[HR_ctg[6]].value_counts().plot(kind='bar')\n",
    "plt.title(HR_ctg[6])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "04bc64db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 8. JobInvolvement: 업무 참여도\n",
    "HR_att[HR_ctg[7]].value_counts().plot(kind='bar')\n",
    "plt.title(HR_ctg[7])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "2e067434",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 9. JobLevel: 업무의 수준\n",
    "HR_att[HR_ctg[8]].value_counts().plot(kind='bar')\n",
    "plt.title(HR_ctg[8])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "bdb65585",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 10. JobRole: 업무 종류\n",
    "HR_att[HR_ctg[9]].value_counts().plot(kind='bar')\n",
    "plt.title(HR_ctg[9])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "e7755ede",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 11. JobSatisfaction: 업무 만족도\n",
    "HR_att[HR_ctg[10]].value_counts().plot(kind='bar')\n",
    "plt.title(HR_ctg[10])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "02ccc1ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 12. MaritalStatus: 결혼 여부\n",
    "HR_att[HR_ctg[11]].value_counts().plot(kind='bar')\n",
    "plt.title(HR_ctg[11])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "b98b7bc1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 13. Over18: 18세 이상\n",
    "HR_att[HR_ctg[12]].value_counts().plot(kind='bar')\n",
    "plt.title(HR_ctg[12])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "ec737a09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 14. OverTime: 규정외 노동시간\n",
    "HR_att[HR_ctg[13]].value_counts().plot(kind='bar')\n",
    "plt.title(HR_ctg[13])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "899ca113",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 15. JPerformanceRating: 업무 성과\n",
    "HR_att[HR_ctg[14]].value_counts().plot(kind='bar')\n",
    "plt.title(HR_ctg[14])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "cb40a085",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8JJuSbNq+ffssy5AkTWXcb6hmiraaqmNVXVZVK6tq5cTExJjLkKQfbrMN93uTHA3QHre19q3AcUP9lgJ3zb48SdJszDbcrwbWtOU1wFVD7auTLElyPLAcuH7fSpQk7a3FM3VI8gHgFOCIJFuBtwHrgA1JzgXuAM4GqKrNSTYANwE7gfOratcc1S5JmsaM4V5V50yz6dRp+q8F1u5LUZKkfeM3VCWpQ4a7JHXIcJekDhnuktQhw12SOmS4S1KHDHdJ6pDhLkkdMtwlqUOGuyR1yHCXpA4Z7pLUIcNdkjpkuEtShwx3SeqQ4S5JHTLcJalDhrskdchwl6QOGe6S1CHDXZI6ZLhLUocMd0nqkOEuSR0y3CWpQ4a7JHXIcJekDhnuktQhw12SOmS4S1KHDHdJ6pDhLkkdMtwlqUOGuyR1yHCXpA4Z7pLUoTkL9yRnJLklyZYkF87VeSRJjzcn4Z5kEfAu4JeBFcA5SVbMxbkkSY83VyP3k4AtVfX1qvo+cCWwao7OJUmaJFU1/oMmrwbOqKo3tPXXAi+uqt8d6nMecF5bfTZwy9gLGb8jgPvmu4iOeD/Hy/s5PgvlXj69qiam2rB4jk6YKdoe8yxSVZcBl83R+edEkk1VtXK+6+iF93O8vJ/j08O9nKtpma3AcUPrS4G75uhckqRJ5ircPw8sT3J8kh8BVgNXz9G5JEmTzMm0TFXtTPK7wMeARcDlVbV5Ls71BFtQ00gLgPdzvLyf47Pg7+WcvKEqSZpffkNVkjpkuEtShwx3SeqQ4b4HSU5K8qK2vCLJ7yf5lfmuqwdJ3jvfNSxkSZ6T5NQkh0xqP2O+atL+xTdUp5HkbQz+Ns5i4BrgxcBG4DTgY1W1dv6qW1iSTP4YbIBfAD4BUFWvfMKLWsCS/B5wPnAzcCJwQVVd1bZ9oap+eh7L60qS36iqf5jvOmbDcJ9Gkq8w+IezBLgHWFpVDyY5GPhcVT1vPutbSJJ8AbgJeDeDbyoH+ACD7z9QVZ+cv+oWnva7+TNV9XCSZcAHgSuq6q+TfLGqXjC/FfYjyR1V9bT5rmM25urPD/RgZ1XtAr6b5GtV9SBAVT2S5NF5rm2hWQlcAPwR8JaqujHJI4b6rC2qqocBqur2JKcAH0zydKb+0x/agyRfnm4TcNQTWcs4Ge7T+36SH62q7wIv3N2Y5CmA4b4XqupR4K+S/HN7vBd/9/bFPUlOrKobAdoI/uXA5cBPzWtlC9NRwOnAtye1B/jME1/OePgPbHo/V1U74AfhtNuBwJr5KWlhq6qtwNlJzgQenO96FrDXATuHG6pqJ/C6JH87PyUtaB8GDtn9ZDksycYnvJoxcc5dkjrkRyElqUOGuyR1yHCXpA4Z7pLUIcNdkjr0fxkARIs03CCTAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 16. RelationshipSatisfaction: 대인관계 만족도\n",
    "HR_att[HR_ctg[15]].value_counts().plot(kind='bar')\n",
    "plt.title(HR_ctg[15])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "bcdf3424",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 17. StockOptionLevel: 스톡옵션 정도\n",
    "HR_att[HR_ctg[16]].value_counts().plot(kind='bar')\n",
    "plt.title(HR_ctg[16])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "e737d32a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 18. WorkLifeBalance: 일과 생활의 균형 정도\n",
    "HR_att[HR_ctg[17]].value_counts().plot(kind='bar')\n",
    "plt.title(HR_ctg[17])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74acb0ea",
   "metadata": {},
   "source": [
    "### 2) Numerical Variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "7edf5675",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1. Age: 나이\n",
    "sns.distplot(HR_att.loc[:,HR_num[0]])\n",
    "plt.title(HR_num[0])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "c7d3eeaa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2. DailyRate: 일 대비 급여의 수준\n",
    "sns.distplot(HR_att.loc[:,HR_num[1]])\n",
    "plt.title(HR_num[1])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "5d985045",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 3. DistanceFromHome: 집과의 거리\n",
    "sns.distplot(HR_att.loc[:,HR_num[2]])\n",
    "plt.title(HR_num[2])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "c1adf478",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "count     1470\n",
       "unique       1\n",
       "top          1\n",
       "freq      1470\n",
       "Name: EmployeeCount, dtype: int64"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 4. EmployeeCount: 직원 숫자\n",
    "sns.distplot(HR_att.loc[:,HR_num[3]])\n",
    "plt.title(HR_num[3])\n",
    "plt.show()\n",
    "\n",
    "HR_att['EmployeeCount'].astype(object).describe()\n",
    "# 모두 1의 값을 가짐"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "08c76707",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "count     1470\n",
       "unique    1470\n",
       "top       2048\n",
       "freq         1\n",
       "Name: EmployeeNumber, dtype: int64"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 5. EmployeeNumber: 직원 ID\n",
    "sns.distplot(HR_att.loc[:,HR_num[4]])\n",
    "plt.title(HR_num[4])\n",
    "plt.show()\n",
    "\n",
    "HR_att['EmployeeNumber'].astype(object).describe()\n",
    "# 각자 고유한 ID number 가짐"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "fd7b51e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 6. HourlyRate: 시간 대비 급여의 수준\n",
    "sns.distplot(HR_att.loc[:,HR_num[5]])\n",
    "plt.title(HR_num[5])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "7d3c700a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='MonthlyIncome'>"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 7. MonthlyIncome: 월 소득\n",
    "sns.distplot(HR_att.loc[:,HR_num[6]])\n",
    "plt.title(HR_num[6])\n",
    "plt.show()\n",
    "\n",
    "sns.boxplot(HR_att.loc[:,HR_num[6]]) # outlier 존재. 이상치는 아니고 극단값"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "c77654e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='MonthlyRate'>"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 8. MonthlyRate: 월 대비 급여 수준\n",
    "sns.distplot(HR_att.loc[:,HR_num[7]])\n",
    "plt.title(HR_num[7])\n",
    "plt.show()\n",
    "\n",
    "sns.boxplot(HR_att.loc[:,HR_num[7]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "7df85d56",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 9. NumCompaniesWorked: 일한 회사의 수\n",
    "sns.countplot(HR_num[8], data=HR_att)\n",
    "plt.title(HR_num[8])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "5b73218e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 10. PercentSalaryHike: 급여의 증가분 백분율\n",
    "sns.distplot(HR_att.loc[:,HR_num[9]])\n",
    "plt.title(HR_num[9])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "894cfdc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 11. StandardHours: 표준 시간\n",
    "sns.countplot(HR_num[10], data=HR_att)\n",
    "plt.title(HR_num[10])\n",
    "plt.show()\n",
    "# 모두 80 Hours"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "894cfdc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 12. TotalWorkingYears: 경력 기간\n",
    "sns.distplot(HR_att.loc[:,HR_num[11]])\n",
    "plt.title(HR_num[11])\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "894cfdc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 13. TrainingTimesLastYear: 교육 시간\n",
    "sns.countplot(HR_att.loc[:,HR_num[12]])\n",
    "plt.title(HR_num[12])\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "894cfdc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 14. YearsAtCompany: 근속 연수\n",
    "sns.distplot(HR_att.loc[:,HR_num[13]])\n",
    "plt.title(HR_num[13])\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "894cfdc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 15. YearsInCurrentRole: 현재 역할의 년수\n",
    "sns.distplot(HR_att.loc[:,HR_num[14]])\n",
    "plt.title(HR_num[14])\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "894cfdc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 16. YearsSinceLastPromotion: 마지막 프로모션\n",
    "sns.countplot(HR_att.loc[:,HR_num[15]])\n",
    "plt.title(HR_num[15])\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "d3d1d6c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 17. YearsWithCurrManager: 현재 관리자와 함께 보낸 시간\n",
    "sns.distplot(HR_att.loc[:,HR_num[16]])\n",
    "plt.title(HR_num[16])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d50d7ff",
   "metadata": {},
   "source": [
    "##  변수간 관계 파악"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "607d7b07",
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.heatmap(HR_att.loc[:,HR_num],annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "55ae9441",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Attrition', ylabel='YearsAtCompany'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1) 퇴사여부에 따른 근속 연수 비교\n",
    "sns.boxplot(x='Attrition',y='YearsAtCompany', data=HR_att)\n",
    "\n",
    "# 퇴사자의 근속 연수가 더 짧음"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "570b2718",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Attrition', ylabel='DistanceFromHome'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX4AAAEICAYAAABYoZ8gAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAU/UlEQVR4nO3df7RdZX3n8feHACXyYwHlgkwkRgzKMLYCvTozsqaLVmwtMxXQCpNxKHWsqV0aQrUuGZwR7Ky6mBlRaWbGTlxQ0Vqtv6jAsFRkFIZlCyQYIUiQOwhIzECAmUIE+RG+88fZVy7hJnff5O5zkuz3a627ztnP/vVN1snnPnnOs/dOVSFJ6o89Rl2AJGm4DH5J6hmDX5J6xuCXpJ4x+CWpZwx+SeqZzoI/yT5Jbkry/SS3J/lw035wkmuS3NW8HtRVDZKkF0pX8/iTBNi3qjYl2Qu4AVgOvBl4pKouTHIucFBVfWBbxzrkkENq0aJFndQpSbur1atXP1RVY1u279nVCWvwG2VTs7hX81PAKcCJTftlwHeAbQb/okWLWLVqVSd1StLuKsm907V3OsafZF6SNcCDwDVVdSNwWFVtAGheD+2yBknS83Ua/FW1uaqOBV4CvDbJq9rum2RpklVJVm3cuLGzGiWpb4Yyq6eq/h+DIZ03Ag8kORygeX1wK/usrKrxqhofG3vBEJUkaTt1OatnLMmBzfv5wEnAOuAK4Kxms7OAr3VVgyTphTr7chc4HLgsyTwGv2C+WFVXJflb4ItJ3gHcB7y1wxokSVvoclbPrcBx07Q/DLy+q/NKkrbNK3clqWe6HOrRFCtWrGBiYmLUZbB+/XoAFixYMNI6Fi9ezLJly0Zag56zM3w+d5bPJuz+n0+Dv2eeeOKJUZcgTcvP5vB0dsuGuTQ+Pl5euTs3li9fDsDFF1884kqk5/OzOfeSrK6q8S3bHeOXpJ4x+CWpZwx+SeoZg1+Sesbgl6SeMfglqWcMfknqGYNfknrG4JeknjH4JalnDH5J6hmDX5J6xuCXpJ4x+CWpZwx+SeoZg1+Sesbgl6SeMfglqWcMfknqGYNfknrG4JeknjH4JalnOgv+JEck+XaSO5LcnmR5035BkvVJ1jQ/J3dVgyTphfbs8NjPAO+rqluS7A+sTnJNs+7jVfXRDs8tSdqKzoK/qjYAG5r3jyW5A1jQ1fkkSe0MZYw/ySLgOODGpuk9SW5NcmmSg4ZRgyRpoPPgT7If8BXgnKp6FPgk8HLgWAb/I7hoK/stTbIqyaqNGzd2XaYk9UanwZ9kLwah/7mq+ipAVT1QVZur6lngU8Brp9u3qlZW1XhVjY+NjXVZpiT1SpezegJcAtxRVR+b0n74lM1OA9Z2VYMk6YW6nNVzAnAmcFuSNU3becCSJMcCBdwD/EGHNUiSttDlrJ4bgEyz6uquzilJmplX7kpSzxj8ktQzBr8k9YzBL0k9Y/BLUs8Y/JLUMwa/JPWMwS9JPWPwS1LPGPyS1DMGvyT1jMEvST1j8EtSzxj8ktQzBr8k9YzBL0k9Y/BLUs8Y/JLUMwa/JPXMrII/yb5dFSJJGo5WwZ/kdUl+ANzRLL86yX/rtDJJUifa9vg/Dvwm8DBAVX0f+NWuipIkdaf1UE9V/XiLps1zXIskaQj2bLndj5O8DqgkewNn0wz7SJJ2LW17/O8C3g0sAO4Hjm2WJUm7mFY9/qp6CHhbx7VIkoagVfAneRmwDFg0dZ+qelM3ZUmSutJ2jP9vgEuAK4Fn2+yQ5AjgM8CLm31WVtXFSQ4G/prBL5F7gNOr6v/OqmpJ0nZrG/w/q6o/m+WxnwHeV1W3JNkfWJ3kGuD3gGur6sIk5wLnAh+Y5bElSdupbfBfnOR84JvAk5ONVXXL1naoqg3Ahub9Y0nuYPDl8CnAic1mlwHfweCXpKFpG/y/BJwJ/DrPDfVUszyjJIuA44AbgcOaXwpU1YYkh86mYEnSjmkb/KcBR1bVU7M9QZL9gK8A51TVo0na7rcUWAqwcOHC2Z5WkrQVbefxfx84cLYHT7IXg9D/XFV9tWl+IMnhzfrDgQen27eqVlbVeFWNj42NzfbUkqStaNvjPwxYl+Rmnj/Gv9XpnBl07S8B7qiqj01ZdQVwFnBh8/q12RYtSdp+bYP//O049gkMvhe4Lcmapu08BoH/xSTvAO4D3rodx5Ykbae2V+5el+Qw4DVN001VNe0QzZR9bgC2NqD/+vYlSpLmUtv78Z8O3MSgd346cGOS3+myMElSN9oO9XwQeM1kLz/JGPAt4MtdFSZJ6kbbWT17bDG08/As9pUk7UTa9vi/nuQbwOeb5TOAq7spSZLUpbZf7r4/yVsYzNQJgxuuXd5pZZKkTrTt8VNVX2FwMZYkaRe2zeBP8hiDe/K8YBVQVXVAJ1VJkjqzzeCvqv0n3yf5XlUd131JkqQuzWZmznQ9f0nSLsYpmZLUMzON8b95yuKBWywz5Y6bkqRdxEyzen57yvvrtlguwOCXpF3MTF/uvn1YhUiShqPVPP4kBwK/Cyyauk9Vnd1JVZKkzrS9gOtq4O+A23jumbuSpF1Q2+Dfp6re22klHVqxYgUTExOjLmOnMPn3sHz58hFXsnNYvHgxy5YtG3UZ0lC1Df7PJnkncBXPf/TiI51UNccmJiZYs/YONr/o4FGXMnJ7PDW4HGP13Q+MuJLRm/f4LvHxleZc2+B/CvjPDO7LP3khVwFHdlFUFza/6GCeOPrkUZehncj8dd5gVv3UNvjfCyyuqoe6LEaS1L22V+7eDjzeZSGSpOFo2+PfDKxJ8m2eP8bvdE5J2sW0Df6/aX4kSbu4tk/guizJ3sArmqY7q+rp7sqSJHWl7ZW7JwKXAfcweAjLEUnOqqrrO6tMktSJtkM9FwG/UVV3AiR5BYMHr/9KV4VJkrrRdlbPXpOhD1BVPwT26qYkSVKX2gb/6iSXJDmx+fkUsHpbOyS5NMmDSdZOabsgyfoka5ofr6iSpCFrG/zvYjCX/2xgOfCDpm1bPg28cZr2j1fVsc2Pl05K0pDNOMafZA9gdVW9CvhY2wNX1fVJFu1AbZKkDszY46+qZ4HvJ1k4R+d8T5Jbm6Ggg+bomJKkltoO9RwO3J7k2iRXTP5sx/k+CbwcOBbYwGC20LSSLE2yKsmqjRs3bsepJEnTmelh63tW1TPAh+fiZFX183sBN18QX7WNbVcCKwHGx8dra9tJkmZnpjH+m4Djq+q6JCuqaoeeWJHk8Kra0CyeBqzd1vaSpLk3U/BnyvsTZnPgJJ8HTgQOSXI/cD5wYpJjGdzL/x7gD2ZzTEnSjpsp+Ld7iKWqlkzTfMn2Hk+SNDdmCv6jk9zKoOf/8uY9zXJV1S93Wp0kac7NFPz/cChVSJKGZpvBX1X3Tr5P8lLgqKr6VpL5M+0rSdo5tZrHn+SdwJeB/940vQQfzCJJu6S2F3C9m8GsnkcBquou4NCuipIkdadt8D9ZVU9NLiTZkx2Y8SNJGp22wX9dkvOA+UneAHwJuLK7siRJXWkb/OcCG4HbGFx0dTXw77oqSpLUnbYzc+YDl1bVpwCSzGvaHu+qMKkPVqxYwcTExKjL2ClM/j0sX758xJXsHBYvXsyyZTt0l5ytahv81wInAZua5fnAN4HXdVGU1BcTExPcdfv3WLjf5lGXMnJ7Pz0YgHjy3lUjrmT07ts0r9Pjtw3+fapqMvSpqk1JXtRRTVKvLNxvM+cd/+ioy9BO5CO3HNDp8duO8f80yfGTC0l+BXiim5IkSV1q2+M/B/hSkp80y4cDZ3RSkSSpU62Cv6puTnI08EoGN2hbV1VPd1qZJKkTs7nfzmuARc0+xyWhqj7TSVWSpM60Cv4kn2XwrNw1wOT0gwIMfknaxbTt8Y8Dx1SVt2mQpF1c21k9a4EXd1mIJGk42vb4DwF+kOQm4MnJxqp6UydVSZI60zb4L+iyCEnS8LSdznld14VIkoaj7RO4/kmSm5NsSvJUks1JvMZcknZBbb/c/S/AEuAuBjdo+/2mTZK0i2l9AVdVTSSZV1Wbgb9I8t0O65IkdaRt8D+eZG9gTZL/BGwA9u2uLElSV9oO9ZzZbPse4KfAEcCbuypKktSdtsF/alX9rKoeraoPV9V7gX+xrR2SXJrkwSRrp7QdnOSaJHc1rwftSPGSpNlrG/xnTdP2ezPs82ngjVu0nQtcW1VHMXiq17ktzy9JmiPbHONPsgT4V8DLklwxZdUBwMPb2reqrk+yaIvmU4ATm/eXAd8BPtC+XEnSjprpy93vMvgi9xDgointjwG3bsf5DquqDQBVtSHJodtxDEnSDthm8FfVvcC9SU4CnqiqZ5O8AjgauK3LwpIsBZYCLFy4sMtTSVKvtB3jvx7YJ8kCBmPzb2cwhj9bDyQ5HKB5fXBrG1bVyqoar6rxsbGx7TiVJGk6bYM/VfU4gymcK6rqNOCY7TjfFTz3RfFZwNe24xiSpB3QOviT/FPgbcD/aNpm+mL488DfAq9Mcn+SdwAXAm9IchfwhmZZkjREba/cPQf4t8DlVXV7kiOBb29rh6paspVVr29fniRprs3mtszXTVm+Gzi7q6IkSd2ZabjmE1V1TpIrGTxc/Xl2lSdwrV+/nnmP/z3z11096lK0E5n3+MOsX//MqMuQhm6mHv9nm9ePdl2IJGk4ZprHv7p5vS7JWPN+4zAKm0sLFizg/zy5J08cffKoS9FOZP66q1mw4LBRlyEN3TZn9WTggiQPAeuAHybZmORDwylPkjTXZprOeQ5wAvCaqvrFqjoI+MfACUn+qOviJElzb6bg/11gSVX9aLKhmdHzr5t1kqRdzEzBv1dVPbRlYzPOv1c3JUmSujRT8D+1neskSTupmaZzvjrJo9O0B9ing3okSR2baTrnvGEVIkkajrY3aZMk7SYMfknqGYNfknrG4JeknjH4Jaln2j6IRVIH1q9fz08fm8dHbjlg1KVoJ3LvY/PYd/36zo5vj1+SesYevzRCCxYs4MlnNnDe8dNdJ6m++sgtB/ALCxZ0dnx7/JLUMwa/JPWMwS9JPWPwS1LPGPyS1DMGvyT1jMEvST1j8EtSz4zkAq4k9wCPAZuBZ6pqfBR1SFIfjfLK3V+b7kHukqRuOdQjST0zquAv4JtJVidZOqIaJKmXRjXUc0JV/STJocA1SdZV1fVTN2h+ISwFWLhw4ShqlKTd0kh6/FX1k+b1QeBy4LXTbLOyqsaranxsbGzYJUrSbmvowZ9k3yT7T74HfgNYO+w6JKmvRjHUcxhweZLJ8/9VVX19BHVIUi8NPfir6m7g1cM+ryRpwOmcktQzBr8k9YzBL0k9Y/BLUs8Y/JLUMwa/JPWMwS9JPWPwS1LPjPJ+/EM17/FHmL/u6lGXMXJ7/OxRAJ7d54ARVzJ68x5/hMGF5FK/9CL4Fy9ePOoSdhoTE48BsPhIAw8O87OhXupF8C9btmzUJew0li9fDsDFF1884kokjYpj/JLUMwa/JPWMwS9JPWPwS1LP9OLLXWlndt+meXzkFqfXPvD4oB962IueHXElo3ffpnkc1eHxDX5phJxO+pynJiYA+IWX+ndyFN1+Ngx+aYScavwcpxoPj2P8ktQzBr8k9YzBL0k9Y/BLUs+kqkZdw4zGx8dr1apVoy5jh6xYsYKJZtbCKE3WMOrZJIsXL/aLzZ3IzvD53Fk+m5M17A6fzySrq2p8y3Zn9fTM/PnzR12CNC0/m8Njj1+SdlNb6/E7xi9JPTOS4E/yxiR3JplIcu4oapCkvhp68CeZB/xX4LeAY4AlSY4Zdh2S1Fej6PG/Fpioqrur6ingC8ApI6hDknppFMG/APjxlOX7mzZJ0hCMIvgzTdsLphYlWZpkVZJVGzduHEJZktQPowj++4Ejpiy/BPjJlhtV1cqqGq+q8bGxsaEVJ0m7u1EE/83AUUlelmRv4F8CV4ygDknqpZFcwJXkZOATwDzg0qr60xm23wjcO4TS+uIQ4KFRFyFNw8/m3HppVb1gyGSXuHJXcyvJqumu5pNGzc/mcHjlriT1jMEvST1j8PfTylEXIG2Fn80hcIxfknrGHr8k9YzBvxvKwA1JfmtK2+lJvj7KuqRJSSrJRVOW/zjJBSMsqVcM/t1QDcbv3gV8LMk+SfYF/hR492grk37uSeDNSQ4ZdSF9ZPDvpqpqLXAl8AHgfOAvgQ8muTnJ95KcApDkHyW5KcmaJLcmOWqEZas/nmHwRe4fbbkiyUuTXNt8Hq9NsnD45e3e/HJ3N9b09G8BngKuAm6vqr9MciBwE3AccCHwd1X1ueYWGvOq6olR1ax+SLIJ+AfArcCrgXcC+1XVBUmuBL5cVZcl+TfAm6rq1NFVu/sx+HdzSf4E2AScDuzDoKcFcDDwmwzC/4PAZ4CvVtVdo6hT/ZJkU1Xt13w+nwae4Lngfwg4vKqeTrIXsKGqHBKaQ3uOugB17tnmJ8BbqurOLdbfkeRG4J8D30jy+1X1P4ddpHrrEwz+V/oX29jG3ukcc4y/P74BLEsSgCTHNa9HAndX1Z8xuEvqL4+uRPVNVT0CfBF4x5Tm7zK4ay/A24Abhl3X7s7g74//AOwF3JpkbbMMcAawNska4GgGQz7SMF3E4K6ck84G3p7kVuBMYPlIqtqNOcYvST1jj1+Sesbgl6SeMfglqWcMfknqGYNfknrG4FcvJTmtuUPk0c3ysUlOnrL+xCSv28b+b0pybvP+1CTHTFn3J0lO6rJ+aUcY/OqrJQwuDJq8UOhY4OQp608Epg3+JHtW1RVVdWHTdCrw8+Cvqg9V1bfmuF5pzjiPX72TZD/gTuDXeO5q5QlgPrAe+DyDu0ZuBjYCyxhcWfoIg3sb3QLcBowDf8XgBnh/3/y8Bfj3wFVV9eUkrwc+yuD2KDcDf1hVTya5B7gM+G0GF9a9tarWdf1nl8Aev/rpVODrVfVDBmH+KuBDwF9X1bFV9R+BPwc+3iz/r2a/VwAnVdX7Jg9UVd9l8Mvj/c22/3tyXZJ9gE8DZ1TVLzEI/z+cUsdDVXU88Engj7v5o0ovZPCrj5YAX2jef6FZbuNLVbV5Fud5JfCj5hcMDHr4vzpl/Veb19XAolkcV9oh3p1TvZLkF4FfB16VpIB5DO7+eH6L3X8629PNsP7J5nUz/lvUENnjV9/8DvCZqnppVS2qqiOAHwELgf2nbPfYFsvbsrVt1wGLkixuls8Ertu+sqW5Y/Crb5YAl2/R9hXgxcAxzSMoz2Dw2MrTmuV/NsMxvwC8v3mk5csnG6vqZ8DbgS8luY3BcxH+fK7+INL2claPJPWMPX5J6hmDX5J6xuCXpJ4x+CWpZwx+SeoZg1+Sesbgl6SeMfglqWf+P0t7qrgj6qkPAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2) 퇴사여부에 따른 집과의 거리 비교\n",
    "sns.boxplot(x='Attrition',y='DistanceFromHome', data=HR_att)\n",
    "\n",
    "# 퇴사자의 집과의 거리가 퇴사하지 않은 직원에 비해 더 멀다. 유의한 차이인지는 분석해봐야 함"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ceae913f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='JobLevel', ylabel='MonthlyIncome'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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T/r67atuVkrokPS/prKr4dEkr07aOtHY7kg6SdEeKPyFpct2f2gaNefPmsXz5cubNm1d0KmbWoLoKSUT8Y0ScBlxINk3KCkm3SprZy2E3ArO6xb4C/DwippCtcfIVgNTamQ2cnI75QVo8C+A6YA4wJT0q73kx8GZEtAHXAlfX81ls8Ni0aRMrVqwAYPny5W6VmA1RdQ/fSD/s70+PTcBy4IuSbq+1f0Q8BrzRLXw2cFN6fhNwTlX89ojYGREvAV3ADEnjgdERsTjdVX9zt2Mq73UXcGaltWJDQ/dWiFslZkNTvXNtXQN8kqwV8XcRsSRtulrS8/043zERsQ4gItZJOjrFJwCPV+1XTrHfpefd45VjXknvtUvSW8BRZEWue/5zyFo1TJo0qR/pWjNVWiMVy5cvLyiTnpXLZXhrPxsyuxnKUe5zN7N61fuv4xnggxHxuaoiUjFjAPKo1ZKIXuK9HbNvMGJhRLRHRPu4ceMaTNHMzGrp6z6SyqqIy4D3d79yFBFPRcRb/TjfeknjU2tkPLAhxcvAxKr9SsBrKV6qEa8+pixpBHAE+15KM8ulVCqxURv3uxsSSxNKfe9oVqe+Lm19t5dtAfxJP893H3AR8M30996q+K3pEtp7yDrVl0TEbklbJJ0KPEHW2f+9bu+1GDgXeNizE5uZtV5fNyT2NiqrV5JuA84AxkoqA18nKyB3SroYeBk4L51nlaQ7gdXALuCyiKise3Ip2QiwUcAD6QGwCLhFUhdZS2R2o7mamVnj6l4hUdK/Z88KiQC9rpAYERf0sOnMHvZfACyoEe8EptaI7yAVIjMzK45XSLTCjBo1iu3bt+/12syGHq+QaIXZsWNHr6/NbGjoz/DfY5uZiJmZDU19Df/9P2SXsA7HKyTaAJNEdSPXExOYDU19Xdr6TkuysGHp4IMPZtu2bXu9NrOhp6/hv78AkHR1RHy5epukqwGvnGhAY2ubVxeRyut61xH3muNmg0e9fST/sUbsYwOZiJmZDU199ZFcCvxX4HhJ1TPsHQ78v2YmZkNLI62Dr33tazz66KO/fz1z5kyuuuqqAczKzFqhrxbJrcCfkU1H8mdVj+kR8ZdNzs32c92Ljy9VmQ1NvRaSiHgrItamu9TLZNO6B3CYJM/HbrmMHTuWI47IFtucOXMmRx11VMEZmVkj6r2z/fPAPGA9UJkGNYAPNictGy5KpRK7du0a3K2RzS1Yj2Rr+ntYc08DwGb2rOpjNgDqvbP9CuB9EeG1UG1AjRw5kilTpgza1khbW1tLzrNmzRoApkyY0vyTTWjd57Lhod5C8grQn3VHzPYLrWopVc7T0dHRkvOZDaR6C8mLwKOSfsLed7Zf05SszMxsyKi3kLycHu9KDzMzM6DOQhIRVwFIOjx7GVv7OMTMzIaJuoaiSJoq6WmyWYBXSVoq6eTmpmZmZkNBvWMaFwJfjIj3RsR7gS8B1zdyQknvk7Ss6vG2pCskzZP0alX841XHXCmpS9Lzks6qik+XtDJt65CnjzUza7l6C8mhEfFI5UVEPAoc2sgJI+L5iJgWEdOA6cA24J60+drKtoi4H0DSSWTrsZ8MzAJ+IOnAtP91wBxgSnrMaiQnMzNrXL2F5EVJ/13S5PT4KvDSAJz/TOCFiPh1L/ucDdweETsj4iWgC5ghaTwwOiIWp5UbbwbOGYCczMysH+otJJ8FxgE/Ims9jAP+8wCcfzZwW9Xrz0taIekGSe9OsQlk97FUlFNsQnrePb4PSXMkdUrq3Lhx4wCkbWZmFXUVkoh4MyLmRsSHI+KUiLg8It7Mc2JJ7wI+CfxzCl0HnABMA9YB363sWiulXuK18l8YEe0R0T5u3Lg8aZuZWTd9TSN/X2/bcy61+zHgqYhYn95rfdV5rwd+nF6WgYlVx5WA11K8VCNuZmYt1Nd9JH9IdlnpNuAJarcCGnUBVZe1JI2PiHXp5afIhhpDNoX9rZKuAd5D1qm+JCJ2S9oi6dSU24XA9wYwPzMzq0NfheRYstURLwD+E/AT4LaIWJXnpJIOSe/7uarwtyRNI7s8tbayLSJWSboTWA3sAi6LiN3pmEuBG4FRwAPpYWZmLdTXmu27gZ8CP5V0EFlBeVTS/Iho+H//EbENOKpb7DO97L8AWFAj3glMbTQPMzPLr88pUlIB+VOyIjIZ6CAbvWVmZtZnZ/tNZP/jfwC4KiKe6W1/MzMbfvpqkXwG+DfgRGBu1QwkIpu8cXQTczMzsyGgrz6SJq8vamZmQ50LhZmZ5eJCYmZmudS7QqINIx0dHXR1dbXkXGvWrAFaszZ6W1tby9ZgNxtOXEhsH11dXfzqmaeYdNjuvnfO6V2/yxrFO9Y+2dTzvLz1wL53MrOGuJBYTZMO281X2/efFZW/0XlY0SmY7bfcR2JmZrm4kJiZWS4uJGZmlosLiZmZ5eJCYmZmubiQmJlZLi4kZmaWi+8jsX2Uy2X+bcuB+9W9F7/eciCHlstFp2G2XyqkkEhaC2wBdgO7IqJd0pHAHWSLZ60F/iIi3kz7XwlcnPafGxH/muLT2bPU7v3A5RERrfwsjXjooYeYP38+V111FTNnziw6HRtgjUwxk2eqGE/9YkUrskUyMyI2Vb3+CvDziPimpK+k11+WdBIwGzgZeA/wkKQT0zLA1wFzgMfJCskshsC67QsWZKsGz58/f1AWklKpxI5d6/a7O9sPLpWKTqNHo0aNKjoFs4YNpktbZwNnpOc3AY8CX07x2yNiJ/CSpC5gRmrVjI6IxQCSbgbOYZAXkoceeojdu7M5rHbv3s0jjzwyKIuJNc6tAxtuiupsD+BnkpZKmpNix0TEOoD09+gUnwC8UnVsOcUmpOfd4/uQNEdSp6TOjRs3DuDH6L9Ka6Ri/vz5BWViZjYwimqRnBYRr0k6GnhQ0nO97Ksaseglvm8wYiGwEKC9vb3QPpRKa6Sn12ZmQ00hLZKIeC393QDcA8wA1ksaD5D+bki7l4GJVYeXgNdSvFQjbmZmLdTyQiLpUEmHV54DHwWeAe4DLkq7XQTcm57fB8yWdJCk44ApwJJ0+WuLpFMlCbiw6hgzM2uRIi5tHQPck/32MwK4NSJ+KulJ4E5JFwMvA+cBRMQqSXcCq4FdwGVpxBbApewZ/vsAg7yjfSh5eWtr7iNZvy37v8wxh7zT1PO8vPVATmzqGcyGr5YXkoh4EfhQjfjrwJk9HLMAWFAj3glMHegc6zVQS9LWO8qnVfcLtLW1Nf0cFb9N908cPHlKU89zIq39XGbDyWAa/jssHH/88bz44ot7vR5sWjl8tXKujo6Olp3TzAaWC0kOjf7gnn766QCMHDmSG2+8cQAzMjNrPU/aWIBKK+Rb3/pWwZmYmeXnQlKA0aNHM23aNKZPn150KmZmubmQmJlZLi4kZmaWiwuJmZnl4kJiZma5uJCYmVkuLiRmZpaLC4mZmeXiQmJmZrl4ipRkoCZgrMeaNFFhqyZg9NKvZtZMLiRJV1cXT69czTuHHNn0c+m32SKNS1/4TVPPc8C2N5r6/mZm4EKyl3cOOZIdJ32i6DQGzMGrf1x0CmY2DLiPxMzMcnEhMTOzXIpYs32ipEckPStplaTLU3yepFclLUuPj1cdc6WkLknPSzqrKj5d0sq0rSOt3W5mZi1URB/JLuBLEfGUpMOBpZIeTNuujYjvVO8s6SRgNnAy8B7gIUknpnXbrwPmAI8D9wOzaHDd9nK5zAHb3tqv+hUO2PY65fKuotMws/1cy1skEbEuIp5Kz7cAzwITejnkbOD2iNgZES8BXcAMSeOB0RGxOCICuBk4p7nZm5lZd4WO2pI0GTgFeAI4Dfi8pAuBTrJWy5tkRebxqsPKKfa79Lx7vNZ55pC1XJg0aVLNXEqlEut3jtjvRm2VSscWnYaZ7ecKKySSDgPuBq6IiLclXQf8DyDS3+8CnwVq9XtEL/F9gxELgYUA7e3tNfeB7L6LVlza0o63s7wOHt3U82T3kbiQmFlzFVJIJI0kKyI/jIgfAUTE+qrt1wOVX/QyMLHq8BLwWoqXasQb0tbW1uih/bZmzRYAppzQ7B/5Y1v6ucxseGp5IUkjqxYBz0bENVXx8RGxLr38FPBMen4fcKuka8g626cASyJit6Qtkk4luzR2IfC9RvNq5TQilXN1dHS07JxmZs1SRIvkNOAzwEpJy1Lsb4ALJE0juzy1FvgcQESsknQnsJpsxNdlacQWwKXAjcAostFaDY3Ysvwanaus0XnHPIeY2eDR8kISEb+kdv/G/b0cswBYUCPeCUwduOys1UaNGlV0CmaWk+fasgHh1oHZ8OUpUszMLBcXEjMzy8WFxMzMcnEhMTOzXFxIzMwsFxcSMzPLxYXEzMxycSExM7NcfENiDp4WxMzMhaQQnhbEzPYnLiQ5uHVgZuY+EjMzy8mFxMzMcnEhMTOzXFxIzMwsFxcSMzPLxYXEzMxycSExM7NcXEjMzCwXRUTRObSUpI3Ar4vOAxgLbCo6iUHC30XG38Me/i72GCzfxXsjYlytDcOukAwWkjojor3oPAYDfxcZfw97+LvYYyh8F760ZWZmubiQmJlZLi4kxVlYdAKDiL+LjL+HPfxd7DHovwv3kZiZWS5ukZiZWS4uJGZmlosLSQtJukHSBknPFJ1L0SRNlPSIpGclrZJ0edE5FUXSwZKWSFqevouris6paJIOlPS0pB8XnUuRJK2VtFLSMkmdRefTE/eRtJCk04GtwM0RMbXofIokaTwwPiKeknQ4sBQ4JyJWF5xay0kScGhEbJU0EvglcHlEPF5waoWR9EWgHRgdEZ8oOp+iSFoLtEfEYLghsUdukbRQRDwGvFF0HoNBRKyLiKfS8y3As8CEYrMqRmS2ppcj02PY/g9PUgn4U+Afi87F6uNCYoWTNBk4BXii4FQKky7lLAM2AA9GxLD9LoD/Cfw18E7BeQwGAfxM0lJJc4pOpicuJFYoSYcBdwNXRMTbRedTlIjYHRHTgBIwQ9KwvPQp6RPAhohYWnQug8RpEfFh4GPAZeny+KDjQmKFSf0BdwM/jIgfFZ3PYBARm4FHgVnFZlKY04BPpr6B24E/kfS/i02pOBHxWvq7AbgHmFFsRrW5kFghUgfzIuDZiLim6HyKJGmcpDHp+SjgI8BzhSZVkIi4MiJKETEZmA08HBGfLjitQkg6NA1EQdKhwEeBQTni04WkhSTdBiwG3iepLOnionMq0GnAZ8j+x7ksPT5edFIFGQ88ImkF8CRZH8mwHvZqABwD/FLScmAJ8JOI+GnBOdXk4b9mZpaLWyRmZpaLC4mZmeXiQmJmZrm4kJiZWS4uJGZmlosLiVkOkrb2su2MnmavTbO6jm1STn8l6fvNeG+zWlxIzMwsFxcSs5yU+bakZ9LaEedXbR4t6R5JqyX9g6Qe/82lO9zvlvRkepwm6YDUehlTtV+XpGNq7d/Mz2nWkxFFJ2C2H/hzYBrwIWAs8KSkx9K2GcBJwK+Bn6Z97+rhff4euDYifilpEvCvEfEBSfcCnwL+SdK/A9ZGxHpJt3bfH/hAcz6iWc9cSMzy+yPgtojYDayX9AvgD4C3gSUR8SL8foqcP6LnQvIR4KRsGjIga80cDtwBfA34J7L5p+7oY3+zlnIhMctPvWzrPgdRb3MSHQD8YURs3+vNpcVAm6RxwDnAN/rYv56czQaM+0jM8nsMOD8tTjUOOJ1skj3I1hY5LvWNnE+2jG5PfgZ8vvJC0jTIVlAkm0L8GrLZkl/vbX+zVnMhMWuQpBHATrIf+RXAcuBh4K8j4jdpt8XAN8mm/34p7VuxIs0CXZZ0DTAXaJe0QtJq4JKqfe8APs2ey1r0sb9Zy3j2X7MGSfoQcH1EDMrFhsxaxS0SswZIugS4Dfhq0bmYFc0tEjMzy8UtEjMzy8WFxMzMcnEhMTOzXFxIzMwsFxcSMzPL5f8D2rsI4T9W3fcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 3) 업무 수준(JobLevel)에 따른 월 대비 급여수준(MonthlyRate) 분포\n",
    "sns.boxplot(x='JobLevel',y='MonthlyIncome', data=HR_att)\n",
    "\n",
    "# 해석: 업무수준이 높을수록 월 대비 급여수준 높음 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "2038a132",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 4) 대인관계 만족도 별 퇴사여부 분포\n",
    "sns.countplot(hue='RelationshipSatisfaction',x='Attrition',data=HR_att, palette='Set2')\n",
    "plt.show()\n",
    "\n",
    "# 퇴사하지 않은 직원의 대인관계 만족도가 더 높게 분포함"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "e069315e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 5) 퇴사 여부에 따른 업무환경에 대한 만족도 비교\n",
    "sns.countplot(x='Attrition',hue='EnvironmentSatisfaction',data=HR_att, palette='Set2')\n",
    "plt.show()\n",
    "\n",
    "# 해석: 퇴사하지 않은 경우 만족도가 더 높게 분포, 퇴사자의 경우 만족도1이 제일 많음"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0490f0b4",
   "metadata": {},
   "source": [
    "### 수치형 변수간 상관관계"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "a353af1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def draw_corrmat(df):\n",
    "  y_corrmat = df.corr()\n",
    "  f, ax = plt.subplots(figsize=(8,6))\n",
    "  sns.heatmap(y_corrmat, vmax=.8, annot=True, fmt='.1f', square=True);\n",
    "  \n",
    "draw_corrmat(HR_att.loc[:,HR_num])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0bb1a525",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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