[DATACON]KBO_Baseball_Visualization.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1976d9b2",
   "metadata": {},
   "source": [
    "# KBO Baseball Visualization\n",
    "\n",
    "\n",
    "## 1. 데이터 전처리"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "id": "6301f271",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "id": "1ccb0127",
   "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>batter_name</th>\n",
       "      <th>age</th>\n",
       "      <th>G</th>\n",
       "      <th>PA</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>3B</th>\n",
       "      <th>HR</th>\n",
       "      <th>...</th>\n",
       "      <th>tp</th>\n",
       "      <th>1B</th>\n",
       "      <th>FBP</th>\n",
       "      <th>avg</th>\n",
       "      <th>OBP</th>\n",
       "      <th>SLG</th>\n",
       "      <th>OPS</th>\n",
       "      <th>p_year</th>\n",
       "      <th>YAB</th>\n",
       "      <th>YOPS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>백용환</td>\n",
       "      <td>24.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>포수</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.173</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.509</td>\n",
       "      <td>2014</td>\n",
       "      <td>79.0</td>\n",
       "      <td>0.580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>백용환</td>\n",
       "      <td>25.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>포수</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.177</td>\n",
       "      <td>0.226</td>\n",
       "      <td>0.354</td>\n",
       "      <td>0.580</td>\n",
       "      <td>2015</td>\n",
       "      <td>154.0</td>\n",
       "      <td>0.784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>백용환</td>\n",
       "      <td>26.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>포수</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.234</td>\n",
       "      <td>0.316</td>\n",
       "      <td>0.468</td>\n",
       "      <td>0.784</td>\n",
       "      <td>2016</td>\n",
       "      <td>174.0</td>\n",
       "      <td>0.581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>백용환</td>\n",
       "      <td>27.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>포수</td>\n",
       "      <td>23.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.195</td>\n",
       "      <td>0.276</td>\n",
       "      <td>0.305</td>\n",
       "      <td>0.581</td>\n",
       "      <td>2017</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>백용환</td>\n",
       "      <td>28.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>포수</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.176</td>\n",
       "      <td>0.300</td>\n",
       "      <td>0.176</td>\n",
       "      <td>0.476</td>\n",
       "      <td>2018</td>\n",
       "      <td>47.0</td>\n",
       "      <td>0.691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1908</th>\n",
       "      <td>이원석</td>\n",
       "      <td>32.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>543.0</td>\n",
       "      <td>479.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3루수</td>\n",
       "      <td>93.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>0.301</td>\n",
       "      <td>0.374</td>\n",
       "      <td>0.493</td>\n",
       "      <td>0.867</td>\n",
       "      <td>2019</td>\n",
       "      <td>395.0</td>\n",
       "      <td>0.768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1909</th>\n",
       "      <td>조용호</td>\n",
       "      <td>28.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>우익수</td>\n",
       "      <td>44.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.272</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.319</td>\n",
       "      <td>0.684</td>\n",
       "      <td>2018</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1910</th>\n",
       "      <td>조용호</td>\n",
       "      <td>29.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>우익수</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.077</td>\n",
       "      <td>0.077</td>\n",
       "      <td>0.077</td>\n",
       "      <td>0.154</td>\n",
       "      <td>2019</td>\n",
       "      <td>188.0</td>\n",
       "      <td>0.720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1911</th>\n",
       "      <td>히메네스</td>\n",
       "      <td>27.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3루수</td>\n",
       "      <td>57.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.312</td>\n",
       "      <td>0.344</td>\n",
       "      <td>0.505</td>\n",
       "      <td>0.849</td>\n",
       "      <td>2016</td>\n",
       "      <td>523.0</td>\n",
       "      <td>0.889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1912</th>\n",
       "      <td>히메네스</td>\n",
       "      <td>28.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>579.0</td>\n",
       "      <td>523.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3루수</td>\n",
       "      <td>99.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.308</td>\n",
       "      <td>0.363</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.889</td>\n",
       "      <td>2017</td>\n",
       "      <td>181.0</td>\n",
       "      <td>0.769</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1913 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     batter_name   age      G     PA     AB      R      H    2B   3B    HR  \\\n",
       "0            백용환  24.0   26.0   58.0   52.0    4.0    9.0   4.0  0.0   0.0   \n",
       "1            백용환  25.0   47.0   86.0   79.0    8.0   14.0   2.0  0.0   4.0   \n",
       "2            백용환  26.0   65.0  177.0  154.0   22.0   36.0   6.0  0.0  10.0   \n",
       "3            백용환  27.0   80.0  199.0  174.0   12.0   34.0   7.0  0.0   4.0   \n",
       "4            백용환  28.0   15.0   20.0   17.0    2.0    3.0   0.0  0.0   0.0   \n",
       "...          ...   ...    ...    ...    ...    ...    ...   ...  ...   ...   \n",
       "1908         이원석  32.0  128.0  543.0  479.0   74.0  144.0  30.0  1.0  20.0   \n",
       "1909         조용호  28.0   68.0  225.0  191.0   34.0   52.0   7.0  1.0   0.0   \n",
       "1910         조용호  29.0   16.0   14.0   13.0    4.0    1.0   0.0  0.0   0.0   \n",
       "1911        히메네스  27.0   70.0  299.0  279.0   37.0   87.0  17.0  2.0  11.0   \n",
       "1912        히메네스  28.0  135.0  579.0  523.0  101.0  161.0  36.0  0.0  26.0   \n",
       "\n",
       "      ...   tp    1B   FBP    avg    OBP    SLG    OPS  p_year    YAB   YOPS  \n",
       "0     ...   포수   5.0   6.0  0.173  0.259  0.250  0.509    2014   79.0  0.580  \n",
       "1     ...   포수   8.0   5.0  0.177  0.226  0.354  0.580    2015  154.0  0.784  \n",
       "2     ...   포수  20.0  20.0  0.234  0.316  0.468  0.784    2016  174.0  0.581  \n",
       "3     ...   포수  23.0  20.0  0.195  0.276  0.305  0.581    2017   17.0  0.476  \n",
       "4     ...   포수   3.0   3.0  0.176  0.300  0.176  0.476    2018   47.0  0.691  \n",
       "...   ...  ...   ...   ...    ...    ...    ...    ...     ...    ...    ...  \n",
       "1908  ...  3루수  93.0  59.0  0.301  0.374  0.493  0.867    2019  395.0  0.768  \n",
       "1909  ...  우익수  44.0  28.0  0.272  0.365  0.319  0.684    2018   13.0  0.154  \n",
       "1910  ...  우익수   1.0   0.0  0.077  0.077  0.077  0.154    2019  188.0  0.720  \n",
       "1911  ...  3루수  57.0  16.0  0.312  0.344  0.505  0.849    2016  523.0  0.889  \n",
       "1912  ...  3루수  99.0  49.0  0.308  0.363  0.526  0.889    2017  181.0  0.769  \n",
       "\n",
       "[1913 rows x 37 columns]"
      ]
     },
     "execution_count": 216,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('../datacon/2019_kbo_for_kaggle_v2.csv')\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "id": "f575ee4d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['batter_name', 'age', 'G', 'PA', 'AB', 'R', 'H', '2B', '3B', 'HR', 'TB',\n",
       "       'RBI', 'SB', 'CS', 'BB', 'HBP', 'GB', 'SO', 'GDP', 'BU', 'fly', 'year',\n",
       "       'salary', 'war', 'year_born', 'hand2', 'cp', 'tp', '1B', 'FBP', 'avg',\n",
       "       'OBP', 'SLG', 'OPS', 'p_year', 'YAB', 'YOPS'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 217,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3863084",
   "metadata": {},
   "source": [
    "#### 결측치 확인"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "id": "1c9148dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "batter_name     0\n",
       "age             0\n",
       "G               0\n",
       "PA              0\n",
       "AB              0\n",
       "R               0\n",
       "H               0\n",
       "2B              0\n",
       "3B              0\n",
       "HR              0\n",
       "TB              0\n",
       "RBI             0\n",
       "SB              0\n",
       "CS              0\n",
       "BB              0\n",
       "HBP             0\n",
       "GB              0\n",
       "SO              0\n",
       "GDP             0\n",
       "BU              0\n",
       "fly             0\n",
       "year            0\n",
       "salary          0\n",
       "war             0\n",
       "year_born       0\n",
       "hand2           0\n",
       "cp              0\n",
       "tp              0\n",
       "1B              0\n",
       "FBP             0\n",
       "avg            14\n",
       "OBP            12\n",
       "SLG            14\n",
       "OPS            14\n",
       "p_year          0\n",
       "YAB             0\n",
       "YOPS           15\n",
       "dtype: int64"
      ]
     },
     "execution_count": 218,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4241db32",
   "metadata": {},
   "source": [
    "#### 결측값 있는 행 제거"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "id": "fc6d7938",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>batter_name</th>\n",
       "      <th>age</th>\n",
       "      <th>G</th>\n",
       "      <th>PA</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>3B</th>\n",
       "      <th>HR</th>\n",
       "      <th>...</th>\n",
       "      <th>tp</th>\n",
       "      <th>1B</th>\n",
       "      <th>FBP</th>\n",
       "      <th>avg</th>\n",
       "      <th>OBP</th>\n",
       "      <th>SLG</th>\n",
       "      <th>OPS</th>\n",
       "      <th>p_year</th>\n",
       "      <th>YAB</th>\n",
       "      <th>YOPS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>백용환</td>\n",
       "      <td>24.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>포수</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.173</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.509</td>\n",
       "      <td>2014</td>\n",
       "      <td>79.0</td>\n",
       "      <td>0.580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>백용환</td>\n",
       "      <td>25.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>포수</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.177</td>\n",
       "      <td>0.226</td>\n",
       "      <td>0.354</td>\n",
       "      <td>0.580</td>\n",
       "      <td>2015</td>\n",
       "      <td>154.0</td>\n",
       "      <td>0.784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>백용환</td>\n",
       "      <td>26.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>포수</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.234</td>\n",
       "      <td>0.316</td>\n",
       "      <td>0.468</td>\n",
       "      <td>0.784</td>\n",
       "      <td>2016</td>\n",
       "      <td>174.0</td>\n",
       "      <td>0.581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>백용환</td>\n",
       "      <td>27.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>포수</td>\n",
       "      <td>23.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.195</td>\n",
       "      <td>0.276</td>\n",
       "      <td>0.305</td>\n",
       "      <td>0.581</td>\n",
       "      <td>2017</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>백용환</td>\n",
       "      <td>28.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>포수</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.176</td>\n",
       "      <td>0.300</td>\n",
       "      <td>0.176</td>\n",
       "      <td>0.476</td>\n",
       "      <td>2018</td>\n",
       "      <td>47.0</td>\n",
       "      <td>0.691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1908</th>\n",
       "      <td>이원석</td>\n",
       "      <td>32.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>543.0</td>\n",
       "      <td>479.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3루수</td>\n",
       "      <td>93.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>0.301</td>\n",
       "      <td>0.374</td>\n",
       "      <td>0.493</td>\n",
       "      <td>0.867</td>\n",
       "      <td>2019</td>\n",
       "      <td>395.0</td>\n",
       "      <td>0.768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1909</th>\n",
       "      <td>조용호</td>\n",
       "      <td>28.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>우익수</td>\n",
       "      <td>44.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.272</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.319</td>\n",
       "      <td>0.684</td>\n",
       "      <td>2018</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1910</th>\n",
       "      <td>조용호</td>\n",
       "      <td>29.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>우익수</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.077</td>\n",
       "      <td>0.077</td>\n",
       "      <td>0.077</td>\n",
       "      <td>0.154</td>\n",
       "      <td>2019</td>\n",
       "      <td>188.0</td>\n",
       "      <td>0.720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1911</th>\n",
       "      <td>히메네스</td>\n",
       "      <td>27.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3루수</td>\n",
       "      <td>57.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.312</td>\n",
       "      <td>0.344</td>\n",
       "      <td>0.505</td>\n",
       "      <td>0.849</td>\n",
       "      <td>2016</td>\n",
       "      <td>523.0</td>\n",
       "      <td>0.889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1912</th>\n",
       "      <td>히메네스</td>\n",
       "      <td>28.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>579.0</td>\n",
       "      <td>523.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3루수</td>\n",
       "      <td>99.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.308</td>\n",
       "      <td>0.363</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.889</td>\n",
       "      <td>2017</td>\n",
       "      <td>181.0</td>\n",
       "      <td>0.769</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1885 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     batter_name   age      G     PA     AB      R      H    2B   3B    HR  \\\n",
       "0            백용환  24.0   26.0   58.0   52.0    4.0    9.0   4.0  0.0   0.0   \n",
       "1            백용환  25.0   47.0   86.0   79.0    8.0   14.0   2.0  0.0   4.0   \n",
       "2            백용환  26.0   65.0  177.0  154.0   22.0   36.0   6.0  0.0  10.0   \n",
       "3            백용환  27.0   80.0  199.0  174.0   12.0   34.0   7.0  0.0   4.0   \n",
       "4            백용환  28.0   15.0   20.0   17.0    2.0    3.0   0.0  0.0   0.0   \n",
       "...          ...   ...    ...    ...    ...    ...    ...   ...  ...   ...   \n",
       "1908         이원석  32.0  128.0  543.0  479.0   74.0  144.0  30.0  1.0  20.0   \n",
       "1909         조용호  28.0   68.0  225.0  191.0   34.0   52.0   7.0  1.0   0.0   \n",
       "1910         조용호  29.0   16.0   14.0   13.0    4.0    1.0   0.0  0.0   0.0   \n",
       "1911        히메네스  27.0   70.0  299.0  279.0   37.0   87.0  17.0  2.0  11.0   \n",
       "1912        히메네스  28.0  135.0  579.0  523.0  101.0  161.0  36.0  0.0  26.0   \n",
       "\n",
       "      ...   tp    1B   FBP    avg    OBP    SLG    OPS  p_year    YAB   YOPS  \n",
       "0     ...   포수   5.0   6.0  0.173  0.259  0.250  0.509    2014   79.0  0.580  \n",
       "1     ...   포수   8.0   5.0  0.177  0.226  0.354  0.580    2015  154.0  0.784  \n",
       "2     ...   포수  20.0  20.0  0.234  0.316  0.468  0.784    2016  174.0  0.581  \n",
       "3     ...   포수  23.0  20.0  0.195  0.276  0.305  0.581    2017   17.0  0.476  \n",
       "4     ...   포수   3.0   3.0  0.176  0.300  0.176  0.476    2018   47.0  0.691  \n",
       "...   ...  ...   ...   ...    ...    ...    ...    ...     ...    ...    ...  \n",
       "1908  ...  3루수  93.0  59.0  0.301  0.374  0.493  0.867    2019  395.0  0.768  \n",
       "1909  ...  우익수  44.0  28.0  0.272  0.365  0.319  0.684    2018   13.0  0.154  \n",
       "1910  ...  우익수   1.0   0.0  0.077  0.077  0.077  0.154    2019  188.0  0.720  \n",
       "1911  ...  3루수  57.0  16.0  0.312  0.344  0.505  0.849    2016  523.0  0.889  \n",
       "1912  ...  3루수  99.0  49.0  0.308  0.363  0.526  0.889    2017  181.0  0.769  \n",
       "\n",
       "[1885 rows x 37 columns]"
      ]
     },
     "execution_count": 219,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dropna()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f802ddcf",
   "metadata": {},
   "source": [
    "#### 필요없는 컬럼 제거\n",
    "\n",
    "- year_born (선수 태어난 연도) : \"age(나이)\" 항목이 있어서 이 컬럼은 제거합니다.\n",
    "- cp (최근 포지션) : 공식적인 포지션은 \"tp(통합 포지션)\" 이므로 이 컬럼은 제거합니다.\n",
    "- avg(타율)은 통상적으로 \"선수가 얼마나 잘하는지\"를 나타내는 지표로 쓰이지 않으므로 제거합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "id": "2625044c",
   "metadata": {},
   "outputs": [],
   "source": [
    "del data['year_born']\n",
    "del data['cp']\n",
    "del data['avg']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "id": "f82d403b",
   "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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>batter_name</th>\n",
       "      <th>age</th>\n",
       "      <th>G</th>\n",
       "      <th>PA</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>3B</th>\n",
       "      <th>HR</th>\n",
       "      <th>...</th>\n",
       "      <th>hand2</th>\n",
       "      <th>tp</th>\n",
       "      <th>1B</th>\n",
       "      <th>FBP</th>\n",
       "      <th>OBP</th>\n",
       "      <th>SLG</th>\n",
       "      <th>OPS</th>\n",
       "      <th>p_year</th>\n",
       "      <th>YAB</th>\n",
       "      <th>YOPS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>백용환</td>\n",
       "      <td>24.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>우투우타</td>\n",
       "      <td>포수</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.509</td>\n",
       "      <td>2014</td>\n",
       "      <td>79.0</td>\n",
       "      <td>0.580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>백용환</td>\n",
       "      <td>25.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>우투우타</td>\n",
       "      <td>포수</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.226</td>\n",
       "      <td>0.354</td>\n",
       "      <td>0.580</td>\n",
       "      <td>2015</td>\n",
       "      <td>154.0</td>\n",
       "      <td>0.784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>백용환</td>\n",
       "      <td>26.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>우투우타</td>\n",
       "      <td>포수</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.316</td>\n",
       "      <td>0.468</td>\n",
       "      <td>0.784</td>\n",
       "      <td>2016</td>\n",
       "      <td>174.0</td>\n",
       "      <td>0.581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>백용환</td>\n",
       "      <td>27.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>우투우타</td>\n",
       "      <td>포수</td>\n",
       "      <td>23.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.276</td>\n",
       "      <td>0.305</td>\n",
       "      <td>0.581</td>\n",
       "      <td>2017</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>백용환</td>\n",
       "      <td>28.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>우투우타</td>\n",
       "      <td>포수</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.300</td>\n",
       "      <td>0.176</td>\n",
       "      <td>0.476</td>\n",
       "      <td>2018</td>\n",
       "      <td>47.0</td>\n",
       "      <td>0.691</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  batter_name   age     G     PA     AB     R     H   2B   3B    HR  ...  \\\n",
       "0         백용환  24.0  26.0   58.0   52.0   4.0   9.0  4.0  0.0   0.0  ...   \n",
       "1         백용환  25.0  47.0   86.0   79.0   8.0  14.0  2.0  0.0   4.0  ...   \n",
       "2         백용환  26.0  65.0  177.0  154.0  22.0  36.0  6.0  0.0  10.0  ...   \n",
       "3         백용환  27.0  80.0  199.0  174.0  12.0  34.0  7.0  0.0   4.0  ...   \n",
       "4         백용환  28.0  15.0   20.0   17.0   2.0   3.0  0.0  0.0   0.0  ...   \n",
       "\n",
       "   hand2  tp    1B   FBP    OBP    SLG    OPS  p_year    YAB   YOPS  \n",
       "0   우투우타  포수   5.0   6.0  0.259  0.250  0.509    2014   79.0  0.580  \n",
       "1   우투우타  포수   8.0   5.0  0.226  0.354  0.580    2015  154.0  0.784  \n",
       "2   우투우타  포수  20.0  20.0  0.316  0.468  0.784    2016  174.0  0.581  \n",
       "3   우투우타  포수  23.0  20.0  0.276  0.305  0.581    2017   17.0  0.476  \n",
       "4   우투우타  포수   3.0   3.0  0.300  0.176  0.476    2018   47.0  0.691  \n",
       "\n",
       "[5 rows x 34 columns]"
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed730c1c",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## 2. 포지션 별 연봉 상관관계"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7eb79230",
   "metadata": {},
   "source": [
    "### 2-1. 포지션 종류"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "id": "cb727c08",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "좌익수     259\n",
       "포수      247\n",
       "유격수     238\n",
       "2루수     234\n",
       "중견수     232\n",
       "우익수     230\n",
       "3루수     213\n",
       "1루수     187\n",
       "지명타자     73\n",
       "Name: tp, dtype: int64"
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "counts = data['tp'].value_counts()\n",
    "counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "id": "69b33bc0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['좌익수', '포수', '유격수', '2루수', '중견수', '우익수', '3루수', '1루수', '지명타자'], dtype='object')"
      ]
     },
     "execution_count": 223,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positions = counts.index\n",
    "positions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "025ef502",
   "metadata": {},
   "source": [
    "좌익수가 가장 많고, 지명타자가 가장 적습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f22e259e",
   "metadata": {},
   "source": [
    "### 2-2. 포지션 별 salary 분포"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "id": "d27ba066",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='tp', ylabel='salary'>"
      ]
     },
     "execution_count": 224,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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nXYqVOoTo+iC50e3lL5pUlPIZv64PEo3GWd/aRVv3IPXlhSxuqCASsX8K8WtcU5VueaV8xK/rg0Sjce5b3zpmHaHlixusnsD9GtdUpg31SvnI+izrg6y3vD7I+tYu93WELK8P4te4pjJNKkr5SGuWcRdtltcHafPpOkJ+jWsq0/tDpXykpjRMJFSQcaKMhAqYVhq2GBXUJ9cRGh2X7XWE/BoXTN22Hr1TUcpH6ssKufzMxoxxF5ef2Uh9md2T5OKGCvd1hCyvD9JYX+YaV2N9mdW4Um09K2/+Gxfc8Swrb/4b961vJRqNW41rIkz+tKnUocQYQgG45gNL6RuKUxIOEo3HwdgddxGJBFm+uIF5NcV71xHywZX3y7v6aHm1nZvPP5qO3kGmlRay9pmtvKG+lKWz7N3dZWvrmVdTzNHzxqxyPqloUlHKR1q7onzv9y/zvjcfhjEgAr965nX+85ylzK2xOw4jEgn67oTY2hXlrqdbuevp1ozydx3ZwNJZloJiarf1aFKZRHRFykNfXXmE3f1DXP/IppEyv8xllVrJsLUrSkNFEY0N5dZXMkytBT+6TcX2WvB+buvJN21TmSQGBmLcv6GN85J1uOfd/Dfu39DGwEDMdmgqB3WlIdc2grpSuxcH8XiCtc9v45w1T/DZ257hnDV/Ze3z24jHE/v/4zzy61rwTfXlrvuxqb7calwTQe9UJon1bd2udbhza4o5xmdVFiq7jW29XP+nl/nkO+aPVH9d/6eXk/vR3lXuxtYuLl2beXxdunYDC6eXsnRWlbW4gsECViydycLppb5aC761d9C1rad5bhXzJ3ntgSaVSWLHFK7DnUx2dA+ypWMgo/orVW5Ta1eW8TNdUattF+AklqWzqqzHkW5Ht3tbz/uWzZ70c5RpUpkk6nxch+vHuni/8ut+9GvbhV+l1nkZvb380DaWmtV5R3eUunLvZ3XWb/YksThLHe5iy3W4fq2L96umLOMumiyPu/Br24VfNZQWuu7HhlK7FweJhPC7jW2cft2f+fANT3L6dX/mdxvbSCS8WwJF11OZROup+LH31/Ov7eacNU+MuWK7c9VbrdbF+1n/wBAb2npG9mNTfRnFRXZH1MPeO04/tV341VObO/jyPc9zxpKZI21jD6zbxjUfWGq1W/Yr7b2cft2fx3wff3vhcTlVy+l6KlNEUVHId43yfq6L96viorDv9iP4s+3Cr9p82ja2I8vccjt7op619WhSOQD5rpOcTHE1VBTRPKeC846dz8BgnOLCID9//BVf1MX7ta3Hr3cqfjy+/Mqv41TqyiN86u2zOLlxJu3JlTIf2rjN07YeTSo5StVJXnzXcyPrN1x79lGc2lhv9Qvm17jeUFvK2c1zuOSe5zPWu3hDrd02glRbT6qbbKqNYMXSmVYTS//AEA9s2DFmfZAzmuqsJha/Hl9+lZorbfR+tD1X2rTSIIvqqzj/p3/LiGtaqXepQNtUcmxT8apO0mt+jcuvbSp+jetvmzs47+a/jYnrlk8cY7VKzK/Hl5+lZin201xpXh1f+2pTsX+vf4jZV52kTX6Na19tKjb5NS6/jjfy6/HlZ6m50s5YOoOj502znlBgYo4v+5/yEFNXHmHOtKKRXh0A9z/vbZ3kgcblx37xfh3f0FBR5Lofbcfl13Eqfj2+wFmCed32Ltq6ozSUR1g8o8Lq0st+NhHHl96p5Gh2VTEXnLSQm/73Ff77j5u48c+vcMFJC5ldVWw1Lr/2iz+yrowrzxoV11lNHFlnd/zMkXVlfOHEzP34hRMXWo/Lr+NU5k4r4dqzj8qI69qzj2LutBKrcQ0NDbN23XY+etOTfPF/nuXcm55k7brtDA0NW43LrxbVl7geX4vqvduPeqeSo627+13nQHrz7Cqrdcsb2rpd54yyvX7D610D3PXUFr7zgaUMDMUpCge55fFXaJ5jd3u93jXguha87biKi8Kc0VTH3LR1S/zQ+6ugwHBqYz1HXHgcO5O9hvzQ+2vd9i7X/Ti/poTmudVWY/Njb7l/7ujnpbbd/Ozjx9DeE6W2LMLDG7dxeG0Jy+Z6c9epSSVHE9HP+0D4uV98y5YuWrY8m1Fue3v5dT+Cf8epFBQY5teWWt8+6dqy7Mcd3XbbevzaW661O8qNf3mNG//yWkb5m+bUePYeE5pUjDHPAk8mf40DF4iIGGNOBi4C+oDXReTi5PM9KfdSXXmEd7+xhnPfOo/dfTGqS0Lc9sRm63XLfu4X78e6eL/GBf5tI/DjmusNWdo468rt7sdXO/rY3tnNLR8/hh09zp3Kuq27eLWjzGpSrikNux7300q9uxOe6COiQ0Q+m15gjDHA14DTRWTQGLPaGHMK8LAX5SLykJcfoKG0kJOPnMFnbn06o5+37bYLv/aLT9XFj75is10X79e4Um0EqSqdVBvUiiUzrCaW1Jrro4+v5YsbrCaWRXXFfOGEhWPiekOd3TbOhMQpLy7ivIzxII0kxO4a9fXlES4/s5Er7t84EtflZzZS72ESnuijIWCM+Q9gNnC3iKwFFgEviEiqnmYt8D5gq0flniaVDVnWLbHdduHXNcT9Whfv17j82kawvrUro80O/NFm92JbX5Z1hI7hmHn27lY6+4a57L6No+LayC2fOMZaTACzq0vY0tnHNR9YSt9QnJJwkLKiALOrD9GGehE5EcAYEwLuNsZsBKYBnWlP60yWeVWewRizClgFMHv27Jw/g5/XnvbjGuLgz7p48Gdcfm0j6OyPcU7zbK7748sjV7gXnrSQ3f12Vxb177gef8ZVUGA4bsF0Xu3oy9vFlJXLWBGJGWMeAhqBF4H0IczVQEfyx4vy0e+9BlgDzoj6XGOfnqXtorbM/rolfuXXObb8qCFLW4/tNoKq4hB3tmzNuFO5s2Ur3/3AUqtx+Xdcjz/jgvxfTNn8Zr8NeA7YBDQZY1Jb+yzgUQ/LPVVfXsgVyxsz+nlfsbyR+gr7B4sf6XoquVk8o8J1XM+SGXbbxkSEc5pnZ4zrOad5NraneToiy7iLIzwcd3EgjswS15GW4wKnZ9or7b389Z+7eKW919O1VGDie3/9HBgASoG1IvJqsvwq4HZjTC/QDvw+2SvsoMu9/gyzqkrYVtXPmpXL2N0fo6o4RLDAKVdj+XVtc78KhwOsWDKD+TUlI+Mblvig91egoGCk6guc/XjdH1/mtk++xWpc/2jr28f4LHt3dzt74nT39+/t/VUWYd1ru9jZE6esyFpYE9LVeaLbVD6WpfwR4JF8lXutP5Zg3etdJAQKDCw5TFe/y0bXU8ldOBywPnBvtM4+9zaCzr4hSxE52roHGYrvvdI2BobiYr3tYktnH6sf3IRTgbLX4XWVHD7dXhveqx19IwkFnH148V3PcYSHE4Pq4MccvdrRx4//tCljfZAf/2kT82vsN/j6se0i29xfttsIwJ/jLsCf41TqyrPtR7vVvodVRjjvbXP4wR/2diD40rsWMrPS7vFVEg66bq/isN3ja0d3lLfNq+b8d+wdZ/fT/92si3TZ1NkX5f1vnp2xPsjlZzTS2Wd3JHY8nuDBja28vLOXhMCLrd1s7ezjtMYGq4klHMS1X3xhyG7XXb+Ou/DrOJXUHG6j47I9V1pRYWAkoYBz5f2DP7zMiV841mpc08sK+dK7Fo5JdtMtd+iZWRXh1MUNGePsrljeyAwPk7AmlRwlxHDFA5n9z694wH7/87/v6Ob13QOseeyVjIP47zu6aZpZaS2uLR0D3PFk5txfNz72T6qLF3Bkg7241rd2+XK8kV/Hqfh1DrctHf2u1XJbOwY4ot5etbQxML+miJ+efzTtPYPUlhXSPTA40nPOlp3dQ1w+avzM5fdt5LZPvoXZHh1emlRylK3/+U7Ldbi7+2OuV2xNM+229zRUFPHSzl4uvGPv3F9+mPrer+ON/DpOxa9zuBWFAq7VTIUhu9W+3dEYewaG+dKdT2XcEfRE7Y7r2dmT/3VxNKnkKFv/8+mW65ajsWHXgyUaszsFeGNDOT//xDKQwMhgK8wwjZanj/HrXGl+HadSVx7h7GUNrHjzbHYlr7zvfWar9bnSKiIhLj5lEdc+9NLIyfviUxZREQlZjWswluAPL7byk5XLMuYInF9jt5fo9LL8z3mnSSVHqfUIRtfFe7kewYGYP63E9WCZZ3kuq1hsmC27BsdsryX1w1bbevw6V1pjfblrXE31dtsuGkoLaZ5byyd+9lRGXLbnvAsFDbVlhaw6fv5Ib8zaskLCQbv1TLHhYd515Ni2i9iw7XVexLWtB7wbq6JJJUcvt/XR8mo7N59/dMYVm+1+8fNqS/mvD7+J9ducrs4BA00zK6z3SFufZa60uTXFVqd39+tcadt7ojz84nZ+snIZe/pjVBaHuP2JzTTPrWJ+xO56PX5sg9rVO8TXfrV+zMXUmpXLrMUEEAwEXNsubLe9dvYNcctft2SM67nlr1s43MPzhCaVHPUOxXnT7JqMK7bLz2ikd8ju7KOJhNATjWc01F/93sUkEmJ1ksQd3YOuXRhtt12AMx5kWmkh8YQwrbTQerddcNoufv/CLn7/wq6M8k+8w/56PVXFYd735sNGGpt/+fTr1vfjQGzYNa7RVcETza9tr8XhILv7hzLWXXK6Ont37GtSyVFJOMgVDzzju95fL7R18fV712fE9fV717NgeglLDrM3cn1eTbFrF8Z5NZanJk8ID25o49/u3juy+HsfPIrTmuwuolRXHuFTb5/FyY0zaU+2QT20cZv1tovDKiN8/O1zx7Rd2B4P0lAR4WunLaKyuJDO5EXLounF1tvG6soL3dddshxXWWHQtQ2qtNC7VKBJJUe7etyvQHb12r0Cad2TZeT6nkGWHGYpKGBgaJgf/mlTxkSEP/zTJq6xPBHhK+29IwkFnG31b3c/xxvq3sGCOnvrwdeVhlhUX8X5GetwNFFXarfhORgwIycicLbXtQ+9xN2feavduAoMAzHhklEXLaGA3TaViqIAJ49qU7lyeSOVxXbvhhfVlrKlsz+jDaq+PMIbPLwL1qlic1RTVjgySVxKJFRATYndK5DicMA1rkjY7i5OTZk+eiJC21Omb+7oc03Cmzv6LEXk2NjW69p2sbGt12pcr+92v2jZtsduV+ee6LBr20VP1G6DeNeA+3oqe/rtxvXSrl4eWPc6y+ZUsXB6KcvmVPHAutd5aZd3x5cmlRz1D8W5/IzMWYovP6ORgZjdNpWqkjBfetfCjLi+9K6FVBd7t0zoAcVVHHKdiLCyyO6VdySUJQmH7F5J+nUdjtJI0HV7lXhYbXIgdmapOdjZ48/1VGy3qbR2OW12H7v5Kb70i+f42M1P8fsXdtHWpeNUrCkMBnjkH61jeud8/O2HW41rwbRStu0eyFjRLRQwLKix2/urqz/m2pDaNWD3TqWqOOTatbKq2G6yy7oOh+XpPUrCAdftVWJ9TjJ/jjeaXubPdZcaKopc2+y8HIysSSVH00qCrnWl00rsbsrNu3spKSwgUBAg0SNMKw0znBhm8+5eq9OhzKwqdJ3wb0al3S/XEXXlbN7Vl1G3fFhVEUdYnsuqMARXLm8cqTpJHV8RuzecdEdjFIcCGdurOBSwPkLcr+PGyosCrvuxPGI3CR9eE3Ftszu8xrv5+DWp5GjPwDDXj2p4vv5Pm6yvgJcQ2L5ncMxBXGW5radvMOE6fUzzHLtrqQSDBZzW2MDs6i7auqLUV0RobKiwPqvzYAzuatk6MsdWcTjIzx9/hUtOPdJqXMGCAm5+fDNnLJmJMTCcgJsf38y3Viy2GtdLaePGOnoHmVZayNpntibHQdnrmRaLCy2v7hoT1xH19jqBALzQ1pdl3Ngxnm0vTSo52u3Ttbr7osN7T0bJKfl//vgrXDLN7sko2xxbbT4YpxIMFrB0VpWv1nXZ0x/jpCPqM2bBvvCkheyxXF0YDBg+dPTsMXecQcu9rHb3x5hbU54xbswP38eeQfe4egbtxtWepQ2q3cM2KG2oz1G2hmfbdfF9sTiffMf8kR1qDHzyHfPps9yBIFXnnc4Pdd7gTDPf8monD6zbztOvdjI0ZHsKDaj0aceG0sIg1cUhVh0/ny+etIBVx8+nujjk6fiGA+HX72MoEHCNKxSwW/1Vm6X3aq2H0+1oUslRTzTmmul7LdctTysOs2cgzpfveZ6v/Go9X777efYMxJlmuffXjKoAq1dkrtW9ekUTM6vsfrlS65Z89KYn+eL/PMu5Nz3J2nXbrSeWbMeX7baLw6tLKB6VQIoLgxxebbftojfL9uqzfEfQ0TfkGpftlTKjsTgXnpTZS/TCkxYSjXt38anVXzkqLQwxZ1rRSN0ywP3Pb6Ok0PKdytDwyEJYkBzpf/9Gfnr+0Vbj2tML4UBBRgNvOFDA7l6wuMwL67Z3cf0jL2e2jT3ysvV1S0oLQ669hkotH19/b+/h/9yzbkxcd3z6LbzJq4U4DkBZxJ/bq7Y07BpXTYndi7xIKMidLVsz5v66s2UrzXO8axPWpJKjgViczx6/YGShLr+MU+noG3Ltumv7yqhvaJhLfjn2ZHTLxy1PrNc/xL+9exGVReG903vUlbC73+726orGuPCkhWPa7Lot36m097hfee/qsbu9YomE67Qj8YTdub9iwwnXLtgxy3ElEuLaNpYQnaXYmmKfzv1VX17I5945n119QyOzFH/unfOtzzWUrWFwp+VpbQ6rjLB+WzeX3JM5vceCWrtzWZVH3K8kv/3+JVbjKosEaZ5TwXnHzs/oCFJqeVbnofgwRaO6OheFAgzG7Z68uwbiPLi+NaPjzA2P/ZN5ltdT6YnGXWcpXqCzFNvTN+jPOtxQoIC+oeExywmHA3abzWrKslQDlNqtBujNMr2H7TuoyqIgn33ngpGqzEiogMvPbKSiyO5X1ZgEK982l007e0YuWla+bS7G2D15l0XCfOu3z445vm7/1FssRgUzKiOctrghoxffl961kAbLK55Wl4RcZymuLvGuulAb6nNUkqzzThcJFVAStluH2zsYdx0P0jtot1quKBTg8jNHTWtzZiNFtqdD8en0HrG4UFsWZs3KZfzgQ0exZuUyasvCxOPeVU8ciHAgyPY9UdY85szh9pPHXmH7nijhgN1k19HrXi3X0Wu3Wm4o5j4+K2b5DqpnMObaUN/j4XlC71RytKffvc57j+U6797BuPsdlOWJ9Tr7h6gtdU6SqbaLoXiCTsttF9OzTO9hexqNvtgwr7T35XVq8gOR7aLF9mJYRaGAa8eZIsvTx2Qdn2X5oiVgAq7Vq6vP8m4QqyaVHFUWh1x3ynffb3dEfWk46HqSLC60++WqiIRo2bJ7zEnS9oj6knCAK5Y3jlSBpdpUSixvr9iwuE4xf8N5zZbjSrieJGPDtqu/Anz+hAVj9mOZ5f3o1zncisIFrg31RR7OZq5JJUfRLL2/osOWq5nCAddeMF6u6HYg+oeGXU+SN1o+Sbb3DrJwejG3fPwYdvREqSuLEAyI9XVx+ofc7zgHLI+fydZ1tyxit9o3NiyubWO3Wu44Ew4a17m/wiG7MxAUGMPMysKMmoM9/YMUGO/i0qSSo0goyC+feXlkbqaicJBbfDA3U3d0yLUXjO1Bc31ZTpL9lk+S9eWFrH+9e8yXfvFMuxNKlkfc7zhLLV95785S7Wt7OpT23izTjli+OIjGJGOOQJHkHIGWazS6ojESYmjZstvpcLEL5tWUeNplXZNKjroGYpy9bJbTwyF58j572SzrU7mXR0KIDGSUiQhllrt8Vhe7X+FWFduNqyfLIkq2e3+VFga56qwmvvHrvbPuXnVWk/Wuu1XZqn0tT6RaU+pezWR70bzOviG2dAxk9LICrLclVkZCvNbRn1HWPRBjTrV3y3trUsnR9LJCOnqH+HJaV8FvntnIdA/nzjkQwwm46S97Z5FNiPO77WV7SwuDrtUAthues/X+2mG5ITWREAbjwxl3nIPxYcRu0wXBAuHrpx1BbBj6BuOURIIsmXkEwQK7vdL6h+Kud1D9lgcjl2W947R73A8OJ1yHHgx62DamSSVHg/EE3xw1Hco377c/+LGzP8ZHjpnDfz68t03lopMXWa+e6I4Ou1YDfMdyNUB9lobUesuDRXuHhln9mxfHxHXTx+y2QQUKAgwOC5t29o6MUzl8eikBY7daLlBQ4N6byfKU/KGAcR1RH7I8q3N8WFx78XnZxqlJJUfZli/1curoA1FdHOJLD2c2iP/nwy9Zb7Dc2TPoWg1ge3uFA4bLz2wcM8gwbPlL3xN1b4Pqidq98k4khG27B8Zc4c6q9G5xpwMRCblPyR+x3CAeKDCURYIZd5xlkSAFBXbjGhgazntHEE0qOZpW4j5CvNryRHGd/e6DwGzPZZWta+V0y10rd/QMcseTWzI6XNz42D/54kkLrMZVVujPapPeoWHXK9wmy734ikNBZlRGMk7eMyojFIfsbq9woICSwiCkXTyVFAYptDzDRUWWNs4KD5cKmHQj6o0x5xpj7jPG3GuMucTr1y8Ou48QL7Y8Qrw4OU4lXSRUQFHY7pdLGOaK5Znb64rljQh2Gwkqi8O8tLOXC+94lq/8cj0X3vEsL+3spbLI7sVBcXIt+PTt5Ye14Huz3EH1Wr6D6o7Gufahl0g1CQwn4NqHXqLbclwd/YPEYsMsml7GrKoiFk0vIxYbtj7Ba6oX3+gR9Xs8rCafVHcqxpgyYCVwmoiIMeZWY8xCEXnZq/foG4xRVRzkmg8spW8oTkk4SDAAfUN22y7CWepwbVfnxOKGP7zYyk9WLmNPf4zK4hC3P7GZlW+bbzWurF1kLffia+8bcl0Lfpflk1FNlqncp1mew62j172XVYfl7RUwBVz/6D9HOs6IwAPrtnHVWU1W48o2eNvLNs5JlVSAY4GHREbmcf41cCLgWVIJBwP86pnNnPvWeQyLUFYU5PYnNvPp4+xWmxQGCygJZ56MSsIB67fbxeEAzXNr+Myte2cDvviURdavvP3aRbayKMS3fvPCmLXgbcdVHA64dnW2Pbi2rsKfI9dLC4OubT22qzHLi9xnICgv8m4/TrakMg3oTPu9E1iY/gRjzCpgFcDs2bNzfoMFdSWc/MYZGSfJK89qYmG93Smt59YWs3X3QMYVbWVJmLnTvet/fiDmTy/m9d0DGcmuvjzCfMtxLaov4QsnLOSy+/aeJK9c3sQiy/vRr3HNrI6wsyfKmpXL2N0fo6o4xHAiwWHVdmfdXVhXwpXLm8ZsL9vfR7fjfmZlkfXjvqEiQlvXqP0oCRoqvduPRjxcnMU2Y8x7gEYRuTb5+weAahFZ4/b85uZmaWlpyfl99gxEeamtjx3dg9SVF7KovoTKIrtfLo1L49K4NK6JissY87SIuPbSmGxJpRL4H+Bfkm0qtwBXi8jf3Z5/oElFKaWmsn0llUlV/SUie4wxtwJ3GGPiwHPZEopSSinvTaqkAiAidwB32I5DKaWmokk3TkUppZQ9mlSUUkp5RpOKUkopz0yq3l+5Msa0A1sO4iVqgF0eheMljSs3GlduNK7cTMa45ohIrdsDUzqpHCxjTEu2bnU2aVy50bhyo3HlZqrFpdVfSimlPKNJRSmllGc0qRwc1+lffEDjyo3GlRuNKzdTKi5tU1FKKeUZvVNRSinlmUk3TYstxpj3AlUicvMEvudS4AcuDxWIyPEuz38T8F4RuSzvwSmVJ3497v0a14QTEf3J8gN8GlgH/AP4E/Ao0A7cPup5EeD3wK+ASJ5i+RFwPc68Zh/dz3PvcSkzyfh+i7McgBcxfQ74HfD/kj83ArX7+ZvjgAtcyoPAvR5ur5uA8n08/g63OMYTq8vz7h7HcxYkj6H0n23AKX7YXrl+pgncjwHgW8DvxvHcCTnuk6/7Q+AGnFnRv+mHuIDPunwfayZ6P+qdyj6IyA3GmNeAw0TkRmNMEPiFiJybeo4xZgbOzvsPYA/wC2PMlSLyjMexfC75fgZ4DLjNGLMA+CkwPOrpA+m/GGMqgB8DdwN/BX5qjPm+iDxyoPEYYz4KzCO5dHOybAlwC3CaMebdwNeTTw8AW0Tko8n/uy0z93+AGcaYt4jIkznE8V/A4uSvs4BVIvKH5HsUGGM+D3wS6MH5Iu8UkQ/ifGkCydd4J07S3pl8nThwyuhYjTG/AqqTvy4AjheRV4DQ/uIUkU3ACcnXqQEuAP4C/CFZNnp7bRaR80bHkOaAttdoxph7cAbBATTgnCDvSH0mY8xsnG0TBgT4dxF5Kt9xpTkDuA94S1rM1o77FBH5fNr7/NwY84ZkPLa+jx/BOSbTv49H4XwfT5/Q/ehV5p6sP8CpwKfSsvc9aY+tBO4EFqaVVeJcWV2ap3giwK+T/z8Z+Nf9PP8UnGWVj04rKwK+Alx3EHF8FvjEqLIy4Pcuz307sBHn6vy59JiTB/TXgeuSn+0WnJU5AwcQ021AWfL/P0vui28CR6U952/J2K9NxQGsAM53eb0Tsm1f4Jfs7eiydhyxzQY+jHMHdVPyuPkv4DygzmV7bcn39hr1nkfjXHkXpX+m5Ou/Mfn/KuBht22Tr7jSXv/htP9bO+5d3qcK526j0vL38XOjj2GgJPV9nMj9qHcq+2CMuQZ4N1CYvDI3wBuNMY8AZwK3icit6X8jInuAf89jWKuB7yT/vxn4hjFmxajnCPBBEdmFc/A8NCrGAeDbBxnHzcDVxpibge1ABVAH/Gv6k5JXZZcDx4pIlzHmBOCo5GOpu7zbROTq5J+cZ4w5B2dNnFXJ7blfxpi3Aq+JSM9+njod+BDOSeBnaeULjTHvwOm8EhLnbifbe70H+KMkv4XjdDrwEvDF5PbHGFMIHAOMLKhujCnG+VIvFpHufG2vtPerx7kqXYST+KeTOXXRMNCW/H8P0OfyGp7HtR82j3tg5G7pCuBY4CJx1nKy/X38rjHmeGArzvdxLvDl5OMTth+1S/E4GWNuAz4rIr3J348GvrufP7tRRG7zMIaLcKpvbh/n82cBt+7naQ+IyDUHEVMIJ5l0i0j3qMeOwUmCF+MkllqSJ3MR+X7yOSbHk7NbDDNwPuefReSbybKf4SS4j+B88XfhXBRUisjHUidrEfl+8iSwHHgCp+prt4jcm3zOjcBLInJ68nXrcNrWLhKRB5NlG5Kvf5mIPOYS3zeAd+3jIwjwQaAUp1rk68mfGvKwvdLiehvwKeAaYDfOle35wPeATcAGnP324eTj1cBNIvK39O3ndVxZYn1YRE4e53PzftynvVcQp53zAhFp289zJ+L7WATMxPk+7kwrn41zTOV9P2pSGafRScXl8ZOBI0Tkv/P0/p8H4iKyJvn7p4Fz054yD6dNIP0K5IsisiHtNRbgfIYvcxDGeZL8Dc5J8f+mX90kT8rVIvKiMeaXwLR9vM7r4rTD7CuWBTgnxVU4CSQmItenkkq2KytjzOE4bWWPJpNKpYj8LO3xAuB4Mr9wDTgn/YuBq4HLReTvxpi1IrJiX3GOeu/bcPbNnrSy83GqT74uIlvTyk9gb/I76O21j5juFZH3pv2+z89knKW7y0Vkaz7jSnu/h0XkZJvH/T5i+xXwPHCijbjGe9GSvFMa/beVeL0fD7QOb7L/AN8gs6fOizhXqKnfHyGtZwXOCeGLeYrlWJxb2h+n/dSOes5qoGk/r7MAuMbDuN5Ksu0IOAz471GPv4exPZ6eBz6S5fXW5vj+qTuUyrSyj+PcOf1sVPmnku//R5yODt8GgsnHjk7u3z8CD+HUkX+NtPpm4I047Sgzk7+XsLfhc1xx41RjfR2nZ87VOCfHVAwGWIJzt5P+N28A3u3F9tpPbA8kt2dzMo61aY+dns/9OM74HsxSbuO4fzNO+92PcXp/neuHuNJe9zag1KV8QvajtqlkISJXAVfl8CeJ5E8+Ynkcp6F3n08bx/vnLUY3IpLq2jgivY3Ag9ffjtNZIr3sp8n3SX/PhThtYyeJSCJZ9kWcBHSDiDxljHmjJL9Jo2JNeRX4kIjEku/Th9M4mvFe2RhjjgPOBr4syfrqZPXTGpwOD5K8O8oYkCwi/8Dp0u45Y8wVOCcagH6czgsv4ySY9Bh+i5No0//2BDzaj+MhIqdle4gJPu7F6dm5vyt2P34fJ2Q/alLxiIj8EedK19b7f2Mcz3kFuMTDt03/UnjxBRndFfNgxNkbTxdOVdwCY8wrOI3RS4F7U08enVDS4hlOPt6/j/eKjSOeME5d96xkg24ZzpVqRdpz9gDnjkpmAC3iXkVyUNtLRC7HaTMZwxgzns+UjZf7cZ8sHff7ZTmuBE5SO1gHtB+1TUVNKGPMHKBBRJ6Y4Pd9M/AZYA7QgTPe6P4JjuFfgPfjVDP14XQMuH4/CcuXbO1H5a187EdNKkoppTyjE0oqpZTyjCYVpZRSntGkopRPGGNuSI5wV+qQpUlFKf8IoT0y1SFOG+qV8oHkiPpLgMeB+cDTOMssHI6z1MKY6V+U8iNNKkr5RHJqmUtxRmPfJSK/Tc4t9RsReY/V4JQaJ63+Usqf/gEgInGcKVyUOiRoUlHKP4bZ26ayDMAYUwYMWYtIqRxpo6BS/vEo8H2cJV53JWcBmE+WqVSU8iNtU1HKZ1JtKyLyuu1YlMqVVn8p5T8JJnBSRqW8pHcqSimlPKN3KkoppTyjSUUppZRnNKkopZTyjCYVpZRSntGkopRSyjOaVJRSSnnm/wP2e4u4dDMegQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "matplotlib.rc('font', family='NanumGothic')\n",
    "matplotlib.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "sns.scatterplot(x = data['tp'], y = data['salary'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28c033d4",
   "metadata": {},
   "source": [
    "선수가 적은 축에 속한 1루수 선수들이 비교적 높은 연봉을 받고 있음을 알 수 있습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "542d1361",
   "metadata": {},
   "source": [
    "### 2-3. 년도별 연봉 평균 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "id": "0690da40",
   "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>year</th>\n",
       "      <th>tp</th>\n",
       "      <th>salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1990</td>\n",
       "      <td>1루수</td>\n",
       "      <td>2400.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1990</td>\n",
       "      <td>2루수</td>\n",
       "      <td>2400.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1990</td>\n",
       "      <td>우익수</td>\n",
       "      <td>2400.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1990</td>\n",
       "      <td>좌익수</td>\n",
       "      <td>2400.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1990</td>\n",
       "      <td>중견수</td>\n",
       "      <td>2400.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>2018</td>\n",
       "      <td>유격수</td>\n",
       "      <td>15154.545455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>2018</td>\n",
       "      <td>좌익수</td>\n",
       "      <td>20586.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>2018</td>\n",
       "      <td>중견수</td>\n",
       "      <td>16457.894737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>2018</td>\n",
       "      <td>지명타자</td>\n",
       "      <td>19442.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>2018</td>\n",
       "      <td>포수</td>\n",
       "      <td>13250.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>224 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     year    tp        salary\n",
       "0    1990   1루수   2400.000000\n",
       "1    1990   2루수   2400.000000\n",
       "2    1990   우익수   2400.000000\n",
       "3    1990   좌익수   2400.000000\n",
       "4    1990   중견수   2400.000000\n",
       "..    ...   ...           ...\n",
       "219  2018   유격수  15154.545455\n",
       "220  2018   좌익수  20586.666667\n",
       "221  2018   중견수  16457.894737\n",
       "222  2018  지명타자  19442.857143\n",
       "223  2018    포수  13250.000000\n",
       "\n",
       "[224 rows x 3 columns]"
      ]
     },
     "execution_count": 225,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_salary = data[['year', 'tp', 'salary']].groupby(['year', 'tp']).mean()\n",
    "mean_salary = mean_salary.reset_index()\n",
    "mean_salary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "id": "4eb0cff9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 7))\n",
    "\n",
    "for p in positions:\n",
    "    d = mean_salary[mean_salary['tp'] == p]\n",
    "    plt.plot(d['year'], d['salary'], label=p)\n",
    "    \n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4e4e439",
   "metadata": {},
   "source": [
    "연봉이 포지션 별로 큰 차이를 가지고 있음을 알 수 있습니다.\n",
    "\n",
    "따라서 포지션 별 연봉 상관관계를 살펴보면 다음과 같습니다.\n",
    "\n",
    "### 2-4. 포지션 별 연봉-war/OPS 상관관계 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 371,
   "id": "72946c93",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1296x2160 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18, 30))\n",
    "\n",
    "for idx, p in enumerate(positions):\n",
    "    d = data.copy()\n",
    "    d = d[d['tp'] == p] # 해당 포지션만 분석\n",
    "    \n",
    "    plt.figure(figsize=(18, 50))\n",
    "    plt.subplot(18, 2, idx*2+1)\n",
    "    plt.title('[' + p + '] 연봉 & WAR 산점도')\n",
    "    sns.scatterplot(x = d['salary'], y = d['war'])\n",
    "#     sns.regplot(x='salary', y='war', data=d)\n",
    "    plt.xlabel('salary')\n",
    "    plt.ylabel('war')\n",
    "\n",
    "    plt.subplot(18, 2, idx*2+2)\n",
    "    plt.title('[' + p + '] 연봉 & OPS 산점도')\n",
    "    sns.scatterplot(x = d['salary'], y = d['OPS'])\n",
    "#     sns.regplot(x='salary', y='OPS', data=d)\n",
    "    plt.xlabel('salary')\n",
    "    plt.ylabel('OPS')\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10c7ffe1",
   "metadata": {},
   "source": [
    "##### 포지션 별 상관관계를 보아도 크게 두드러진 점을 볼 수 없었습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0dfccb7",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## 3. 상승률로 보는 연봉-war/OPS 상관관계\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80026e6a",
   "metadata": {},
   "source": [
    "### 3-1. 전년도 war, OPS와 내년 연봉 데이터 채우기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "id": "6bbe465f",
   "metadata": {},
   "outputs": [],
   "source": [
    "for idx, name in zip(data.index, data.batter_name):\n",
    "    if idx == 0:\n",
    "        continue\n",
    "\n",
    "    previous_name = data.at[idx-1, 'batter_name']\n",
    "    if name != previous_name:\n",
    "        continue\n",
    "\n",
    "    previous_war = data.at[idx-1, 'war']\n",
    "    data.at[idx, 'previous_war'] = previous_war\n",
    "    previous_OPS = data.at[idx-1, 'OPS']\n",
    "    data.at[idx, 'previous_OPS'] = previous_OPS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "id": "8e4b9df5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>batter_name</th>\n",
       "      <th>age</th>\n",
       "      <th>G</th>\n",
       "      <th>PA</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>3B</th>\n",
       "      <th>HR</th>\n",
       "      <th>...</th>\n",
       "      <th>1B</th>\n",
       "      <th>FBP</th>\n",
       "      <th>OBP</th>\n",
       "      <th>SLG</th>\n",
       "      <th>OPS</th>\n",
       "      <th>p_year</th>\n",
       "      <th>YAB</th>\n",
       "      <th>YOPS</th>\n",
       "      <th>previous_war</th>\n",
       "      <th>previous_OPS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>백용환</td>\n",
       "      <td>24.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.509</td>\n",
       "      <td>2014</td>\n",
       "      <td>79.0</td>\n",
       "      <td>0.580</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>백용환</td>\n",
       "      <td>25.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.226</td>\n",
       "      <td>0.354</td>\n",
       "      <td>0.580</td>\n",
       "      <td>2015</td>\n",
       "      <td>154.0</td>\n",
       "      <td>0.784</td>\n",
       "      <td>-0.055</td>\n",
       "      <td>0.509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>백용환</td>\n",
       "      <td>26.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.316</td>\n",
       "      <td>0.468</td>\n",
       "      <td>0.784</td>\n",
       "      <td>2016</td>\n",
       "      <td>174.0</td>\n",
       "      <td>0.581</td>\n",
       "      <td>-0.441</td>\n",
       "      <td>0.580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>백용환</td>\n",
       "      <td>27.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>23.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.276</td>\n",
       "      <td>0.305</td>\n",
       "      <td>0.581</td>\n",
       "      <td>2017</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.476</td>\n",
       "      <td>0.783</td>\n",
       "      <td>0.784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>백용환</td>\n",
       "      <td>28.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.300</td>\n",
       "      <td>0.176</td>\n",
       "      <td>0.476</td>\n",
       "      <td>2018</td>\n",
       "      <td>47.0</td>\n",
       "      <td>0.691</td>\n",
       "      <td>-0.405</td>\n",
       "      <td>0.581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1908</th>\n",
       "      <td>이원석</td>\n",
       "      <td>32.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>543.0</td>\n",
       "      <td>479.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>...</td>\n",
       "      <td>93.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>0.374</td>\n",
       "      <td>0.493</td>\n",
       "      <td>0.867</td>\n",
       "      <td>2019</td>\n",
       "      <td>395.0</td>\n",
       "      <td>0.768</td>\n",
       "      <td>1.102</td>\n",
       "      <td>0.773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1909</th>\n",
       "      <td>조용호</td>\n",
       "      <td>28.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.319</td>\n",
       "      <td>0.684</td>\n",
       "      <td>2018</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.154</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1910</th>\n",
       "      <td>조용호</td>\n",
       "      <td>29.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.077</td>\n",
       "      <td>0.077</td>\n",
       "      <td>0.154</td>\n",
       "      <td>2019</td>\n",
       "      <td>188.0</td>\n",
       "      <td>0.720</td>\n",
       "      <td>0.215</td>\n",
       "      <td>0.684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1911</th>\n",
       "      <td>히메네스</td>\n",
       "      <td>27.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>...</td>\n",
       "      <td>57.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.344</td>\n",
       "      <td>0.505</td>\n",
       "      <td>0.849</td>\n",
       "      <td>2016</td>\n",
       "      <td>523.0</td>\n",
       "      <td>0.889</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1912</th>\n",
       "      <td>히메네스</td>\n",
       "      <td>28.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>579.0</td>\n",
       "      <td>523.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>...</td>\n",
       "      <td>99.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.363</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.889</td>\n",
       "      <td>2017</td>\n",
       "      <td>181.0</td>\n",
       "      <td>0.769</td>\n",
       "      <td>2.365</td>\n",
       "      <td>0.849</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1913 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     batter_name   age      G     PA     AB      R      H    2B   3B    HR  \\\n",
       "0            백용환  24.0   26.0   58.0   52.0    4.0    9.0   4.0  0.0   0.0   \n",
       "1            백용환  25.0   47.0   86.0   79.0    8.0   14.0   2.0  0.0   4.0   \n",
       "2            백용환  26.0   65.0  177.0  154.0   22.0   36.0   6.0  0.0  10.0   \n",
       "3            백용환  27.0   80.0  199.0  174.0   12.0   34.0   7.0  0.0   4.0   \n",
       "4            백용환  28.0   15.0   20.0   17.0    2.0    3.0   0.0  0.0   0.0   \n",
       "...          ...   ...    ...    ...    ...    ...    ...   ...  ...   ...   \n",
       "1908         이원석  32.0  128.0  543.0  479.0   74.0  144.0  30.0  1.0  20.0   \n",
       "1909         조용호  28.0   68.0  225.0  191.0   34.0   52.0   7.0  1.0   0.0   \n",
       "1910         조용호  29.0   16.0   14.0   13.0    4.0    1.0   0.0  0.0   0.0   \n",
       "1911        히메네스  27.0   70.0  299.0  279.0   37.0   87.0  17.0  2.0  11.0   \n",
       "1912        히메네스  28.0  135.0  579.0  523.0  101.0  161.0  36.0  0.0  26.0   \n",
       "\n",
       "      ...    1B   FBP    OBP    SLG    OPS  p_year    YAB   YOPS  \\\n",
       "0     ...   5.0   6.0  0.259  0.250  0.509    2014   79.0  0.580   \n",
       "1     ...   8.0   5.0  0.226  0.354  0.580    2015  154.0  0.784   \n",
       "2     ...  20.0  20.0  0.316  0.468  0.784    2016  174.0  0.581   \n",
       "3     ...  23.0  20.0  0.276  0.305  0.581    2017   17.0  0.476   \n",
       "4     ...   3.0   3.0  0.300  0.176  0.476    2018   47.0  0.691   \n",
       "...   ...   ...   ...    ...    ...    ...     ...    ...    ...   \n",
       "1908  ...  93.0  59.0  0.374  0.493  0.867    2019  395.0  0.768   \n",
       "1909  ...  44.0  28.0  0.365  0.319  0.684    2018   13.0  0.154   \n",
       "1910  ...   1.0   0.0  0.077  0.077  0.154    2019  188.0  0.720   \n",
       "1911  ...  57.0  16.0  0.344  0.505  0.849    2016  523.0  0.889   \n",
       "1912  ...  99.0  49.0  0.363  0.526  0.889    2017  181.0  0.769   \n",
       "\n",
       "      previous_war  previous_OPS  \n",
       "0              NaN           NaN  \n",
       "1           -0.055         0.509  \n",
       "2           -0.441         0.580  \n",
       "3            0.783         0.784  \n",
       "4           -0.405         0.581  \n",
       "...            ...           ...  \n",
       "1908         1.102         0.773  \n",
       "1909           NaN           NaN  \n",
       "1910         0.215         0.684  \n",
       "1911           NaN           NaN  \n",
       "1912         2.365         0.849  \n",
       "\n",
       "[1913 rows x 36 columns]"
      ]
     },
     "execution_count": 228,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "d46a0c1c",
   "metadata": {},
   "outputs": [],
   "source": [
    "for idx, name in zip(data.index, data.batter_name):\n",
    "    if len(data) == idx+1:\n",
    "        break\n",
    "        \n",
    "    next_name = data.at[idx+1, 'batter_name']\n",
    "    if name != next_name:\n",
    "        continue\n",
    "        \n",
    "    next_salary = data.at[idx+1, 'salary']\n",
    "    data.at[idx, 'next_salary'] = next_salary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "id": "f42ea6e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>batter_name</th>\n",
       "      <th>age</th>\n",
       "      <th>G</th>\n",
       "      <th>PA</th>\n",
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       "      <th>3B</th>\n",
       "      <th>HR</th>\n",
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       "      <th>FBP</th>\n",
       "      <th>OBP</th>\n",
       "      <th>SLG</th>\n",
       "      <th>OPS</th>\n",
       "      <th>p_year</th>\n",
       "      <th>YAB</th>\n",
       "      <th>YOPS</th>\n",
       "      <th>previous_war</th>\n",
       "      <th>previous_OPS</th>\n",
       "      <th>next_salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>백용환</td>\n",
       "      <td>24.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.509</td>\n",
       "      <td>2014</td>\n",
       "      <td>79.0</td>\n",
       "      <td>0.580</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2900.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>백용환</td>\n",
       "      <td>25.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.226</td>\n",
       "      <td>0.354</td>\n",
       "      <td>0.580</td>\n",
       "      <td>2015</td>\n",
       "      <td>154.0</td>\n",
       "      <td>0.784</td>\n",
       "      <td>-0.055</td>\n",
       "      <td>0.509</td>\n",
       "      <td>6000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>백용환</td>\n",
       "      <td>26.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.316</td>\n",
       "      <td>0.468</td>\n",
       "      <td>0.784</td>\n",
       "      <td>2016</td>\n",
       "      <td>174.0</td>\n",
       "      <td>0.581</td>\n",
       "      <td>-0.441</td>\n",
       "      <td>0.580</td>\n",
       "      <td>6000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>백용환</td>\n",
       "      <td>27.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.276</td>\n",
       "      <td>0.305</td>\n",
       "      <td>0.581</td>\n",
       "      <td>2017</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.476</td>\n",
       "      <td>0.783</td>\n",
       "      <td>0.784</td>\n",
       "      <td>5500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>백용환</td>\n",
       "      <td>28.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.300</td>\n",
       "      <td>0.176</td>\n",
       "      <td>0.476</td>\n",
       "      <td>2018</td>\n",
       "      <td>47.0</td>\n",
       "      <td>0.691</td>\n",
       "      <td>-0.405</td>\n",
       "      <td>0.581</td>\n",
       "      <td>5300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1908</th>\n",
       "      <td>이원석</td>\n",
       "      <td>32.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>543.0</td>\n",
       "      <td>479.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>...</td>\n",
       "      <td>59.0</td>\n",
       "      <td>0.374</td>\n",
       "      <td>0.493</td>\n",
       "      <td>0.867</td>\n",
       "      <td>2019</td>\n",
       "      <td>395.0</td>\n",
       "      <td>0.768</td>\n",
       "      <td>1.102</td>\n",
       "      <td>0.773</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1909</th>\n",
       "      <td>조용호</td>\n",
       "      <td>28.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.319</td>\n",
       "      <td>0.684</td>\n",
       "      <td>2018</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.154</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1910</th>\n",
       "      <td>조용호</td>\n",
       "      <td>29.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.077</td>\n",
       "      <td>0.077</td>\n",
       "      <td>0.154</td>\n",
       "      <td>2019</td>\n",
       "      <td>188.0</td>\n",
       "      <td>0.720</td>\n",
       "      <td>0.215</td>\n",
       "      <td>0.684</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1911</th>\n",
       "      <td>히메네스</td>\n",
       "      <td>27.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.344</td>\n",
       "      <td>0.505</td>\n",
       "      <td>0.849</td>\n",
       "      <td>2016</td>\n",
       "      <td>523.0</td>\n",
       "      <td>0.889</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1912</th>\n",
       "      <td>히메네스</td>\n",
       "      <td>28.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>579.0</td>\n",
       "      <td>523.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>...</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.363</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.889</td>\n",
       "      <td>2017</td>\n",
       "      <td>181.0</td>\n",
       "      <td>0.769</td>\n",
       "      <td>2.365</td>\n",
       "      <td>0.849</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1913 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     batter_name   age      G     PA     AB      R      H    2B   3B    HR  \\\n",
       "0            백용환  24.0   26.0   58.0   52.0    4.0    9.0   4.0  0.0   0.0   \n",
       "1            백용환  25.0   47.0   86.0   79.0    8.0   14.0   2.0  0.0   4.0   \n",
       "2            백용환  26.0   65.0  177.0  154.0   22.0   36.0   6.0  0.0  10.0   \n",
       "3            백용환  27.0   80.0  199.0  174.0   12.0   34.0   7.0  0.0   4.0   \n",
       "4            백용환  28.0   15.0   20.0   17.0    2.0    3.0   0.0  0.0   0.0   \n",
       "...          ...   ...    ...    ...    ...    ...    ...   ...  ...   ...   \n",
       "1908         이원석  32.0  128.0  543.0  479.0   74.0  144.0  30.0  1.0  20.0   \n",
       "1909         조용호  28.0   68.0  225.0  191.0   34.0   52.0   7.0  1.0   0.0   \n",
       "1910         조용호  29.0   16.0   14.0   13.0    4.0    1.0   0.0  0.0   0.0   \n",
       "1911        히메네스  27.0   70.0  299.0  279.0   37.0   87.0  17.0  2.0  11.0   \n",
       "1912        히메네스  28.0  135.0  579.0  523.0  101.0  161.0  36.0  0.0  26.0   \n",
       "\n",
       "      ...   FBP    OBP    SLG    OPS  p_year    YAB   YOPS  previous_war  \\\n",
       "0     ...   6.0  0.259  0.250  0.509    2014   79.0  0.580           NaN   \n",
       "1     ...   5.0  0.226  0.354  0.580    2015  154.0  0.784        -0.055   \n",
       "2     ...  20.0  0.316  0.468  0.784    2016  174.0  0.581        -0.441   \n",
       "3     ...  20.0  0.276  0.305  0.581    2017   17.0  0.476         0.783   \n",
       "4     ...   3.0  0.300  0.176  0.476    2018   47.0  0.691        -0.405   \n",
       "...   ...   ...    ...    ...    ...     ...    ...    ...           ...   \n",
       "1908  ...  59.0  0.374  0.493  0.867    2019  395.0  0.768         1.102   \n",
       "1909  ...  28.0  0.365  0.319  0.684    2018   13.0  0.154           NaN   \n",
       "1910  ...   0.0  0.077  0.077  0.154    2019  188.0  0.720         0.215   \n",
       "1911  ...  16.0  0.344  0.505  0.849    2016  523.0  0.889           NaN   \n",
       "1912  ...  49.0  0.363  0.526  0.889    2017  181.0  0.769         2.365   \n",
       "\n",
       "      previous_OPS  next_salary  \n",
       "0              NaN       2900.0  \n",
       "1            0.509       6000.0  \n",
       "2            0.580       6000.0  \n",
       "3            0.784       5500.0  \n",
       "4            0.581       5300.0  \n",
       "...            ...          ...  \n",
       "1908         0.773          NaN  \n",
       "1909           NaN       6200.0  \n",
       "1910         0.684          NaN  \n",
       "1911           NaN      50000.0  \n",
       "1912         0.849          NaN  \n",
       "\n",
       "[1913 rows x 37 columns]"
      ]
     },
     "execution_count": 230,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a463182",
   "metadata": {},
   "source": [
    "### 3-2. 연봉, war, OPS 상승률 계산\n",
    "\n",
    "- 연봉 : 올해 대비 내년 상승률 \n",
    "- 연봉 책정 기준이 되는 war, OPS : 작년 대비 올해 상승률"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "id": "1bfea900",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>batter_name</th>\n",
       "      <th>age</th>\n",
       "      <th>G</th>\n",
       "      <th>PA</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>3B</th>\n",
       "      <th>HR</th>\n",
       "      <th>...</th>\n",
       "      <th>OPS</th>\n",
       "      <th>p_year</th>\n",
       "      <th>YAB</th>\n",
       "      <th>YOPS</th>\n",
       "      <th>previous_war</th>\n",
       "      <th>previous_OPS</th>\n",
       "      <th>next_salary</th>\n",
       "      <th>salary_growth_rate</th>\n",
       "      <th>war_growth_rate</th>\n",
       "      <th>ops_growth_rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>백용환</td>\n",
       "      <td>24.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.509</td>\n",
       "      <td>2014</td>\n",
       "      <td>79.0</td>\n",
       "      <td>0.580</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2900.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>백용환</td>\n",
       "      <td>25.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.580</td>\n",
       "      <td>2015</td>\n",
       "      <td>154.0</td>\n",
       "      <td>0.784</td>\n",
       "      <td>-0.055</td>\n",
       "      <td>0.509</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.386</td>\n",
       "      <td>-0.071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>백용환</td>\n",
       "      <td>26.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.784</td>\n",
       "      <td>2016</td>\n",
       "      <td>174.0</td>\n",
       "      <td>0.581</td>\n",
       "      <td>-0.441</td>\n",
       "      <td>0.580</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.224</td>\n",
       "      <td>-0.204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>백용환</td>\n",
       "      <td>27.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.581</td>\n",
       "      <td>2017</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.476</td>\n",
       "      <td>0.783</td>\n",
       "      <td>0.784</td>\n",
       "      <td>5500.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>1.188</td>\n",
       "      <td>0.203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>백용환</td>\n",
       "      <td>28.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.476</td>\n",
       "      <td>2018</td>\n",
       "      <td>47.0</td>\n",
       "      <td>0.691</td>\n",
       "      <td>-0.405</td>\n",
       "      <td>0.581</td>\n",
       "      <td>5300.0</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>-0.275</td>\n",
       "      <td>0.105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1908</th>\n",
       "      <td>이원석</td>\n",
       "      <td>32.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>543.0</td>\n",
       "      <td>479.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.867</td>\n",
       "      <td>2019</td>\n",
       "      <td>395.0</td>\n",
       "      <td>0.768</td>\n",
       "      <td>1.102</td>\n",
       "      <td>0.773</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.213</td>\n",
       "      <td>-0.094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1909</th>\n",
       "      <td>조용호</td>\n",
       "      <td>28.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.684</td>\n",
       "      <td>2018</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.154</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6200.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1910</th>\n",
       "      <td>조용호</td>\n",
       "      <td>29.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.154</td>\n",
       "      <td>2019</td>\n",
       "      <td>188.0</td>\n",
       "      <td>0.720</td>\n",
       "      <td>0.215</td>\n",
       "      <td>0.684</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.486</td>\n",
       "      <td>0.530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1911</th>\n",
       "      <td>히메네스</td>\n",
       "      <td>27.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.849</td>\n",
       "      <td>2016</td>\n",
       "      <td>523.0</td>\n",
       "      <td>0.889</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1912</th>\n",
       "      <td>히메네스</td>\n",
       "      <td>28.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>579.0</td>\n",
       "      <td>523.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.889</td>\n",
       "      <td>2017</td>\n",
       "      <td>181.0</td>\n",
       "      <td>0.769</td>\n",
       "      <td>2.365</td>\n",
       "      <td>0.849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.991</td>\n",
       "      <td>-0.040</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1913 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     batter_name   age      G     PA     AB      R      H    2B   3B    HR  \\\n",
       "0            백용환  24.0   26.0   58.0   52.0    4.0    9.0   4.0  0.0   0.0   \n",
       "1            백용환  25.0   47.0   86.0   79.0    8.0   14.0   2.0  0.0   4.0   \n",
       "2            백용환  26.0   65.0  177.0  154.0   22.0   36.0   6.0  0.0  10.0   \n",
       "3            백용환  27.0   80.0  199.0  174.0   12.0   34.0   7.0  0.0   4.0   \n",
       "4            백용환  28.0   15.0   20.0   17.0    2.0    3.0   0.0  0.0   0.0   \n",
       "...          ...   ...    ...    ...    ...    ...    ...   ...  ...   ...   \n",
       "1908         이원석  32.0  128.0  543.0  479.0   74.0  144.0  30.0  1.0  20.0   \n",
       "1909         조용호  28.0   68.0  225.0  191.0   34.0   52.0   7.0  1.0   0.0   \n",
       "1910         조용호  29.0   16.0   14.0   13.0    4.0    1.0   0.0  0.0   0.0   \n",
       "1911        히메네스  27.0   70.0  299.0  279.0   37.0   87.0  17.0  2.0  11.0   \n",
       "1912        히메네스  28.0  135.0  579.0  523.0  101.0  161.0  36.0  0.0  26.0   \n",
       "\n",
       "      ...    OPS  p_year    YAB   YOPS  previous_war  previous_OPS  \\\n",
       "0     ...  0.509    2014   79.0  0.580           NaN           NaN   \n",
       "1     ...  0.580    2015  154.0  0.784        -0.055         0.509   \n",
       "2     ...  0.784    2016  174.0  0.581        -0.441         0.580   \n",
       "3     ...  0.581    2017   17.0  0.476         0.783         0.784   \n",
       "4     ...  0.476    2018   47.0  0.691        -0.405         0.581   \n",
       "...   ...    ...     ...    ...    ...           ...           ...   \n",
       "1908  ...  0.867    2019  395.0  0.768         1.102         0.773   \n",
       "1909  ...  0.684    2018   13.0  0.154           NaN           NaN   \n",
       "1910  ...  0.154    2019  188.0  0.720         0.215         0.684   \n",
       "1911  ...  0.849    2016  523.0  0.889           NaN           NaN   \n",
       "1912  ...  0.889    2017  181.0  0.769         2.365         0.849   \n",
       "\n",
       "      next_salary  salary_growth_rate  war_growth_rate  ops_growth_rate  \n",
       "0          2900.0                 4.0              NaN              NaN  \n",
       "1          6000.0                31.0            0.386           -0.071  \n",
       "2          6000.0                 0.0           -1.224           -0.204  \n",
       "3          5500.0                -5.0            1.188            0.203  \n",
       "4          5300.0                -2.0           -0.275            0.105  \n",
       "...           ...                 ...              ...              ...  \n",
       "1908          NaN                 NaN           -2.213           -0.094  \n",
       "1909       6200.0                31.0              NaN              NaN  \n",
       "1910          NaN                 NaN            0.486            0.530  \n",
       "1911      50000.0                 0.0              NaN              NaN  \n",
       "1912          NaN                 NaN           -2.991           -0.040  \n",
       "\n",
       "[1913 rows x 40 columns]"
      ]
     },
     "execution_count": 232,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "salary_growth = data.apply(lambda d : (d['next_salary'] - d['salary']) / 100, axis=1)\n",
    "data.loc[:, 'salary_growth_rate'] = salary_growth\n",
    "\n",
    "war_growth = data.apply(lambda d : d['previous_war'] - d['war'], axis=1)\n",
    "data.loc[:, 'war_growth_rate'] = war_growth\n",
    "\n",
    "ops_growth = data.apply(lambda d : d['previous_OPS'] - d['OPS'], axis=1)\n",
    "data.loc[:, 'ops_growth_rate'] = ops_growth\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6f98f26",
   "metadata": {},
   "source": [
    "### 3-3. 상승률이 가장 높은 사람은 어떤 선수일까?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "id": "51ce9b68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2110.0"
      ]
     },
     "execution_count": 233,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['salary_growth_rate'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "id": "15e461a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>index</th>\n",
       "      <th>batter_name</th>\n",
       "      <th>age</th>\n",
       "      <th>G</th>\n",
       "      <th>PA</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>3B</th>\n",
       "      <th>...</th>\n",
       "      <th>OPS</th>\n",
       "      <th>p_year</th>\n",
       "      <th>YAB</th>\n",
       "      <th>YOPS</th>\n",
       "      <th>previous_war</th>\n",
       "      <th>previous_OPS</th>\n",
       "      <th>next_salary</th>\n",
       "      <th>salary_growth_rate</th>\n",
       "      <th>war_growth_rate</th>\n",
       "      <th>ops_growth_rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1337</th>\n",
       "      <td>1337</td>\n",
       "      <td>이대호</td>\n",
       "      <td>28.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>552.0</td>\n",
       "      <td>478.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.111</td>\n",
       "      <td>2011</td>\n",
       "      <td>493.0</td>\n",
       "      <td>1.011</td>\n",
       "      <td>4.836</td>\n",
       "      <td>0.908</td>\n",
       "      <td>250000.0</td>\n",
       "      <td>2110.0</td>\n",
       "      <td>-3.989</td>\n",
       "      <td>-0.203</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 41 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      index batter_name   age      G     PA     AB     R      H    2B   3B  \\\n",
       "1337   1337         이대호  28.0  127.0  552.0  478.0  99.0  174.0  13.0  0.0   \n",
       "\n",
       "      ...    OPS  p_year    YAB   YOPS  previous_war  previous_OPS  \\\n",
       "1337  ...  1.111    2011  493.0  1.011         4.836         0.908   \n",
       "\n",
       "      next_salary  salary_growth_rate  war_growth_rate  ops_growth_rate  \n",
       "1337     250000.0              2110.0           -3.989           -0.203  \n",
       "\n",
       "[1 rows x 41 columns]"
      ]
     },
     "execution_count": 248,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['salary_growth_rate'] == 2110]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2f34f86",
   "metadata": {},
   "source": [
    "2011년에 이대호 선수의 연봉 상승률이 2110%로 가장 높습니다. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00f872a9",
   "metadata": {},
   "source": [
    "### 3-4. 상승률이 0인 선수들도 있을까?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "id": "bc3769ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>batter_name</th>\n",
       "      <th>age</th>\n",
       "      <th>G</th>\n",
       "      <th>PA</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>3B</th>\n",
       "      <th>...</th>\n",
       "      <th>OPS</th>\n",
       "      <th>p_year</th>\n",
       "      <th>YAB</th>\n",
       "      <th>YOPS</th>\n",
       "      <th>previous_war</th>\n",
       "      <th>previous_OPS</th>\n",
       "      <th>next_salary</th>\n",
       "      <th>salary_growth_rate</th>\n",
       "      <th>war_growth_rate</th>\n",
       "      <th>ops_growth_rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>백용환</td>\n",
       "      <td>26.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.784</td>\n",
       "      <td>2016</td>\n",
       "      <td>174.0</td>\n",
       "      <td>0.581</td>\n",
       "      <td>-0.441</td>\n",
       "      <td>0.580</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.224</td>\n",
       "      <td>-0.204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>김민식</td>\n",
       "      <td>26.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.398</td>\n",
       "      <td>2016</td>\n",
       "      <td>144.0</td>\n",
       "      <td>0.720</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>김민식</td>\n",
       "      <td>27.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.720</td>\n",
       "      <td>2017</td>\n",
       "      <td>352.0</td>\n",
       "      <td>0.576</td>\n",
       "      <td>-0.187</td>\n",
       "      <td>0.398</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.916</td>\n",
       "      <td>-0.322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>황윤호</td>\n",
       "      <td>22.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.167</td>\n",
       "      <td>2016</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.166</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2700.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>36</td>\n",
       "      <td>이창진</td>\n",
       "      <td>23.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.500</td>\n",
       "      <td>2015</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.411</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1893</th>\n",
       "      <td>1893</td>\n",
       "      <td>이승엽</td>\n",
       "      <td>37.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>483.0</td>\n",
       "      <td>443.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.693</td>\n",
       "      <td>2014</td>\n",
       "      <td>506.0</td>\n",
       "      <td>0.915</td>\n",
       "      <td>5.469</td>\n",
       "      <td>0.886</td>\n",
       "      <td>80000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.098</td>\n",
       "      <td>0.193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1895</th>\n",
       "      <td>1895</td>\n",
       "      <td>이승엽</td>\n",
       "      <td>39.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>522.0</td>\n",
       "      <td>470.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.949</td>\n",
       "      <td>2016</td>\n",
       "      <td>542.0</td>\n",
       "      <td>0.898</td>\n",
       "      <td>2.464</td>\n",
       "      <td>0.915</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.692</td>\n",
       "      <td>-0.034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1900</th>\n",
       "      <td>1900</td>\n",
       "      <td>이원석</td>\n",
       "      <td>22.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.653</td>\n",
       "      <td>2009</td>\n",
       "      <td>376.0</td>\n",
       "      <td>0.794</td>\n",
       "      <td>0.709</td>\n",
       "      <td>0.615</td>\n",
       "      <td>6800.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.315</td>\n",
       "      <td>-0.038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1907</th>\n",
       "      <td>1907</td>\n",
       "      <td>이원석</td>\n",
       "      <td>31.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>459.0</td>\n",
       "      <td>411.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.773</td>\n",
       "      <td>2018</td>\n",
       "      <td>479.0</td>\n",
       "      <td>0.867</td>\n",
       "      <td>0.311</td>\n",
       "      <td>1.153</td>\n",
       "      <td>30000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.791</td>\n",
       "      <td>0.380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1911</th>\n",
       "      <td>1911</td>\n",
       "      <td>히메네스</td>\n",
       "      <td>27.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.849</td>\n",
       "      <td>2016</td>\n",
       "      <td>523.0</td>\n",
       "      <td>0.889</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>402 rows × 41 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      index batter_name   age      G     PA     AB     R      H    2B   3B  \\\n",
       "2         2         백용환  26.0   65.0  177.0  154.0  22.0   36.0   6.0  0.0   \n",
       "7         7         김민식  26.0   23.0   26.0   24.0   4.0    4.0   0.0  0.0   \n",
       "8         8         김민식  27.0   88.0  170.0  144.0  17.0   37.0   9.0  0.0   \n",
       "14       14         황윤호  22.0   10.0    6.0    5.0   2.0    0.0   0.0  0.0   \n",
       "36       36         이창진  23.0    4.0    2.0    2.0   1.0    1.0   1.0  0.0   \n",
       "...     ...         ...   ...    ...    ...    ...   ...    ...   ...  ...   \n",
       "1893   1893         이승엽  37.0  111.0  483.0  443.0  62.0  112.0  24.0  0.0   \n",
       "1895   1895         이승엽  39.0  122.0  522.0  470.0  87.0  156.0  28.0  1.0   \n",
       "1900   1900         이원석  22.0   53.0  134.0  120.0  14.0   33.0   7.0  0.0   \n",
       "1907   1907         이원석  31.0  121.0  459.0  411.0  55.0  109.0  20.0  1.0   \n",
       "1911   1911        히메네스  27.0   70.0  299.0  279.0  37.0   87.0  17.0  2.0   \n",
       "\n",
       "      ...    OPS  p_year    YAB   YOPS  previous_war  previous_OPS  \\\n",
       "2     ...  0.784    2016  174.0  0.581        -0.441         0.580   \n",
       "7     ...  0.398    2016  144.0  0.720           NaN           NaN   \n",
       "8     ...  0.720    2017  352.0  0.576        -0.187         0.398   \n",
       "14    ...  0.167    2016   12.0  0.166           NaN           NaN   \n",
       "36    ...  1.500    2015   19.0  0.411           NaN           NaN   \n",
       "...   ...    ...     ...    ...    ...           ...           ...   \n",
       "1893  ...  0.693    2014  506.0  0.915         5.469         0.886   \n",
       "1895  ...  0.949    2016  542.0  0.898         2.464         0.915   \n",
       "1900  ...  0.653    2009  376.0  0.794         0.709         0.615   \n",
       "1907  ...  0.773    2018  479.0  0.867         0.311         1.153   \n",
       "1911  ...  0.849    2016  523.0  0.889           NaN           NaN   \n",
       "\n",
       "      next_salary  salary_growth_rate  war_growth_rate  ops_growth_rate  \n",
       "2          6000.0                 0.0           -1.224           -0.204  \n",
       "7          3000.0                 0.0              NaN              NaN  \n",
       "8          3000.0                 0.0           -0.916           -0.322  \n",
       "14         2700.0                 0.0              NaN              NaN  \n",
       "36         2400.0                 0.0              NaN              NaN  \n",
       "...           ...                 ...              ...              ...  \n",
       "1893      80000.0                 0.0            5.098            0.193  \n",
       "1895     100000.0                 0.0           -0.692           -0.034  \n",
       "1900       6800.0                 0.0            0.315           -0.038  \n",
       "1907      30000.0                 0.0           -0.791            0.380  \n",
       "1911      50000.0                 0.0              NaN              NaN  \n",
       "\n",
       "[402 rows x 41 columns]"
      ]
     },
     "execution_count": 238,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['salary_growth_rate'] == 0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c145d53c",
   "metadata": {},
   "source": [
    "### 3-5. 연봉 상승률과 war, ops의 상관관계\n",
    "\n",
    "- 상관관계를 보여주도록 NaN인 row는 빼고 상관관계를 살펴보겠습니다.\n",
    "- previous_war과 next_salary 기준으로 NaN인 행을 제거"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "id": "ed0ef2f3",
   "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>level_0</th>\n",
       "      <th>index</th>\n",
       "      <th>batter_name</th>\n",
       "      <th>age</th>\n",
       "      <th>G</th>\n",
       "      <th>PA</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>...</th>\n",
       "      <th>OPS</th>\n",
       "      <th>p_year</th>\n",
       "      <th>YAB</th>\n",
       "      <th>YOPS</th>\n",
       "      <th>previous_war</th>\n",
       "      <th>previous_OPS</th>\n",
       "      <th>next_salary</th>\n",
       "      <th>salary_growth_rate</th>\n",
       "      <th>war_growth_rate</th>\n",
       "      <th>ops_growth_rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>백용환</td>\n",
       "      <td>25.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.580</td>\n",
       "      <td>2015</td>\n",
       "      <td>154.0</td>\n",
       "      <td>0.784</td>\n",
       "      <td>-0.055</td>\n",
       "      <td>0.509</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.386</td>\n",
       "      <td>-0.071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>백용환</td>\n",
       "      <td>26.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.784</td>\n",
       "      <td>2016</td>\n",
       "      <td>174.0</td>\n",
       "      <td>0.581</td>\n",
       "      <td>-0.441</td>\n",
       "      <td>0.580</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.224</td>\n",
       "      <td>-0.204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>백용환</td>\n",
       "      <td>27.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.581</td>\n",
       "      <td>2017</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.476</td>\n",
       "      <td>0.783</td>\n",
       "      <td>0.784</td>\n",
       "      <td>5500.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>1.188</td>\n",
       "      <td>0.203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>백용환</td>\n",
       "      <td>28.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.476</td>\n",
       "      <td>2018</td>\n",
       "      <td>47.0</td>\n",
       "      <td>0.691</td>\n",
       "      <td>-0.405</td>\n",
       "      <td>0.581</td>\n",
       "      <td>5300.0</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>-0.275</td>\n",
       "      <td>0.105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>김민식</td>\n",
       "      <td>27.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.720</td>\n",
       "      <td>2017</td>\n",
       "      <td>352.0</td>\n",
       "      <td>0.576</td>\n",
       "      <td>-0.187</td>\n",
       "      <td>0.398</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.916</td>\n",
       "      <td>-0.322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1306</th>\n",
       "      <td>1903</td>\n",
       "      <td>1903</td>\n",
       "      <td>이원석</td>\n",
       "      <td>25.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>311.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.646</td>\n",
       "      <td>2012</td>\n",
       "      <td>325.0</td>\n",
       "      <td>0.731</td>\n",
       "      <td>1.517</td>\n",
       "      <td>0.760</td>\n",
       "      <td>8400.0</td>\n",
       "      <td>-10.0</td>\n",
       "      <td>0.974</td>\n",
       "      <td>0.114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>1904</td>\n",
       "      <td>1904</td>\n",
       "      <td>이원석</td>\n",
       "      <td>26.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>372.0</td>\n",
       "      <td>325.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.731</td>\n",
       "      <td>2013</td>\n",
       "      <td>264.0</td>\n",
       "      <td>0.858</td>\n",
       "      <td>0.543</td>\n",
       "      <td>0.646</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>-1.513</td>\n",
       "      <td>-0.085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>1905</td>\n",
       "      <td>1905</td>\n",
       "      <td>이원석</td>\n",
       "      <td>27.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.858</td>\n",
       "      <td>2014</td>\n",
       "      <td>231.0</td>\n",
       "      <td>0.676</td>\n",
       "      <td>2.056</td>\n",
       "      <td>0.731</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>-0.754</td>\n",
       "      <td>-0.127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1309</th>\n",
       "      <td>1906</td>\n",
       "      <td>1906</td>\n",
       "      <td>이원석</td>\n",
       "      <td>30.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.153</td>\n",
       "      <td>2017</td>\n",
       "      <td>411.0</td>\n",
       "      <td>0.773</td>\n",
       "      <td>2.810</td>\n",
       "      <td>0.858</td>\n",
       "      <td>30000.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>2.499</td>\n",
       "      <td>-0.295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1310</th>\n",
       "      <td>1907</td>\n",
       "      <td>1907</td>\n",
       "      <td>이원석</td>\n",
       "      <td>31.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>459.0</td>\n",
       "      <td>411.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.773</td>\n",
       "      <td>2018</td>\n",
       "      <td>479.0</td>\n",
       "      <td>0.867</td>\n",
       "      <td>0.311</td>\n",
       "      <td>1.153</td>\n",
       "      <td>30000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.791</td>\n",
       "      <td>0.380</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1311 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      level_0  index batter_name   age      G     PA     AB     R      H  \\\n",
       "0           1      1         백용환  25.0   47.0   86.0   79.0   8.0   14.0   \n",
       "1           2      2         백용환  26.0   65.0  177.0  154.0  22.0   36.0   \n",
       "2           3      3         백용환  27.0   80.0  199.0  174.0  12.0   34.0   \n",
       "3           4      4         백용환  28.0   15.0   20.0   17.0   2.0    3.0   \n",
       "4           8      8         김민식  27.0   88.0  170.0  144.0  17.0   37.0   \n",
       "...       ...    ...         ...   ...    ...    ...    ...   ...    ...   \n",
       "1306     1903   1903         이원석  25.0  110.0  311.0  264.0  36.0   57.0   \n",
       "1307     1904   1904         이원석  26.0  107.0  372.0  325.0  36.0   87.0   \n",
       "1308     1905   1905         이원석  27.0   85.0  300.0  264.0  40.0   83.0   \n",
       "1309     1906   1906         이원석  30.0    7.0   22.0   19.0   3.0    6.0   \n",
       "1310     1907   1907         이원석  31.0  121.0  459.0  411.0  55.0  109.0   \n",
       "\n",
       "        2B  ...    OPS  p_year    YAB   YOPS  previous_war  previous_OPS  \\\n",
       "0      2.0  ...  0.580    2015  154.0  0.784        -0.055         0.509   \n",
       "1      6.0  ...  0.784    2016  174.0  0.581        -0.441         0.580   \n",
       "2      7.0  ...  0.581    2017   17.0  0.476         0.783         0.784   \n",
       "3      0.0  ...  0.476    2018   47.0  0.691        -0.405         0.581   \n",
       "4      9.0  ...  0.720    2017  352.0  0.576        -0.187         0.398   \n",
       "...    ...  ...    ...     ...    ...    ...           ...           ...   \n",
       "1306  11.0  ...  0.646    2012  325.0  0.731         1.517         0.760   \n",
       "1307  13.0  ...  0.731    2013  264.0  0.858         0.543         0.646   \n",
       "1308  12.0  ...  0.858    2014  231.0  0.676         2.056         0.731   \n",
       "1309   3.0  ...  1.153    2017  411.0  0.773         2.810         0.858   \n",
       "1310  20.0  ...  0.773    2018  479.0  0.867         0.311         1.153   \n",
       "\n",
       "      next_salary  salary_growth_rate  war_growth_rate  ops_growth_rate  \n",
       "0          6000.0                31.0            0.386           -0.071  \n",
       "1          6000.0                 0.0           -1.224           -0.204  \n",
       "2          5500.0                -5.0            1.188            0.203  \n",
       "3          5300.0                -2.0           -0.275            0.105  \n",
       "4          3000.0                 0.0           -0.916           -0.322  \n",
       "...           ...                 ...              ...              ...  \n",
       "1306       8400.0               -10.0            0.974            0.114  \n",
       "1307      10000.0                16.0           -1.513           -0.085  \n",
       "1308      15000.0                50.0           -0.754           -0.127  \n",
       "1309      30000.0               150.0            2.499           -0.295  \n",
       "1310      30000.0                 0.0           -0.791            0.380  \n",
       "\n",
       "[1311 rows x 42 columns]"
      ]
     },
     "execution_count": 241,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_correlation = data.copy()\n",
    "data_correlation = data_correlation[pd.notna(data_correlation['previous_war'])]\n",
    "data_correlation = data_correlation[pd.notna(data_correlation['next_salary'])]\n",
    "data_correlation = data_correlation.reset_index()\n",
    "data_correlation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "777a4cd1",
   "metadata": {},
   "source": [
    "#### 연봉 상승률 대비 war, ops의 상관관계"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "id": "d7ab514d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 4))\n",
    "\n",
    "plt.subplot(121)\n",
    "plt.title('WAR 상관관계')\n",
    "sns.scatterplot(x = data_correlation['salary_growth_rate'], y = data_correlation['war'])\n",
    "plt.xlabel('salary growth rate')\n",
    "plt.ylabel('war')\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.title('OPS 상관관계')\n",
    "sns.scatterplot(x = data_correlation['salary_growth_rate'], y = data_correlation['OPS'])\n",
    "plt.xlabel('salary growth rate')\n",
    "plt.ylabel('OPS')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60352509",
   "metadata": {},
   "source": [
    "### 3-6. 연봉 상승률과 war, ops 상승률의 상관관계\n",
    "\n",
    "#### 연봉 상승률 대비 war, ops 상승률의 상관관계"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "id": "3a764335",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 4))\n",
    "\n",
    "plt.subplot(121)\n",
    "plt.title('WAR 상관관계')\n",
    "sns.scatterplot(x = data_correlation['salary_growth_rate'], y = data_correlation['war_growth_rate'])\n",
    "plt.xlabel('salary growth rate')\n",
    "plt.ylabel('war')\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.title('OPS 상관관계')\n",
    "sns.scatterplot(x = data_correlation['salary_growth_rate'], y = data_correlation['ops_growth_rate'])\n",
    "plt.xlabel('salary growth rate')\n",
    "plt.ylabel('OPS')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e07887f",
   "metadata": {},
   "source": [
    "### 3-7. 포지션 별 연봉 상승률과 war, ops 상승률의 선형회귀"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 372,
   "id": "7ef11067",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1296x2160 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18, 30))\n",
    "\n",
    "for idx, p in enumerate(positions):\n",
    "    d = data_correlation.copy()\n",
    "    d = d[d['tp'] == p] # 해당 포지션만 분석\n",
    "    \n",
    "    plt.figure(figsize=(18, 50))\n",
    "    plt.subplot(18, 2, idx*2+1)\n",
    "    plt.title('[' + p + '] 연봉 & WAR 선형회귀')\n",
    "    sns.regplot(x='salary_growth_rate', y='war', data=d)\n",
    "    plt.xlabel('salary')\n",
    "    plt.ylabel('war')\n",
    "\n",
    "    plt.subplot(18, 2, idx*2+2)\n",
    "    plt.title('[' + p + '] 연봉 & OPS 선형회귀')\n",
    "    sns.regplot(x='salary_growth_rate', y='OPS', data=d)\n",
    "    plt.xlabel('salary')\n",
    "    plt.ylabel('OPS')\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9af76783",
   "metadata": {},
   "source": [
    "연봉 상승률, 더 나아가 war, ops 상승률로도 확실한 상관관계를 확인하기 어려웠습니다.\n",
    "\n",
    "이유를 찾아봤을 때, 연봉 책정이 war나 ops외에 복합적인 다른 요소들로 영향을 받고 있기 때문인데요, \n",
    "\n",
    "구단 안에 있는 동안에는 성과에 상관없이 고정적으로 연봉이 책정된다는 부분이 가장 큰 것으로 보입니다. \n",
    "\n",
    "7년동안 1군에 있어야 FA 계약 기준으로 성과 대비 연봉을 측정할 수 있을거라 가정하여\n",
    "\n",
    "FA 계약 이후 선수들의 연봉 책정이 어떻게 되는지 살펴보겠습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a17bc452",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64bf9641",
   "metadata": {},
   "source": [
    "## 4. FA 계약 시점 기준으로 연봉 상관관계 분석\n",
    "\n",
    "- 데이터 출처 : https://www.koreabaseball.com/Player/Trade.aspx\n",
    "- KBO 데이터가 2017~2022년만 있기 때문에, 원본 데이터와 겹치는 기간인 2017, 18년 데이터만 가지고 적용해보겠습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b604150",
   "metadata": {},
   "source": [
    "### 4-1. FA 계약 선수들만 데이터 필터링"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "id": "19ce0e78",
   "metadata": {},
   "outputs": [],
   "source": [
    "batter_fa_2017 = ('손시헌', '이종욱', '지석훈', '정의윤', '민병헌', '손아섭', '강민호', '문규현')\n",
    "batter_fa_2018 = ('양의지', '이재원', '최정', '모창민', '최준석', '이대형', '정근우', '김주찬', '채태인')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "id": "9512ea8d",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_fa = data.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4c60ac5",
   "metadata": {},
   "source": [
    "#### 2017년 FA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "id": "eacaee86",
   "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>index</th>\n",
       "      <th>batter_name</th>\n",
       "      <th>age</th>\n",
       "      <th>G</th>\n",
       "      <th>PA</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>3B</th>\n",
       "      <th>...</th>\n",
       "      <th>OPS</th>\n",
       "      <th>p_year</th>\n",
       "      <th>YAB</th>\n",
       "      <th>YOPS</th>\n",
       "      <th>previous_war</th>\n",
       "      <th>previous_OPS</th>\n",
       "      <th>next_salary</th>\n",
       "      <th>salary_growth_rate</th>\n",
       "      <th>war_growth_rate</th>\n",
       "      <th>ops_growth_rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>426</td>\n",
       "      <td>정의윤</td>\n",
       "      <td>31.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>381.0</td>\n",
       "      <td>349.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.863</td>\n",
       "      <td>2018</td>\n",
       "      <td>217.0</td>\n",
       "      <td>0.800</td>\n",
       "      <td>1.791</td>\n",
       "      <td>0.857</td>\n",
       "      <td>30000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.489</td>\n",
       "      <td>-0.006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>815</th>\n",
       "      <td>815</td>\n",
       "      <td>지석훈</td>\n",
       "      <td>33.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>304.0</td>\n",
       "      <td>268.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.684</td>\n",
       "      <td>2018</td>\n",
       "      <td>94.0</td>\n",
       "      <td>0.472</td>\n",
       "      <td>-0.942</td>\n",
       "      <td>0.614</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.387</td>\n",
       "      <td>-0.070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>961</th>\n",
       "      <td>961</td>\n",
       "      <td>강민호</td>\n",
       "      <td>32.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>515.0</td>\n",
       "      <td>456.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.843</td>\n",
       "      <td>2018</td>\n",
       "      <td>427.0</td>\n",
       "      <td>0.788</td>\n",
       "      <td>5.024</td>\n",
       "      <td>0.982</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.641</td>\n",
       "      <td>0.139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1372</th>\n",
       "      <td>1372</td>\n",
       "      <td>민병헌</td>\n",
       "      <td>30.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>520.0</td>\n",
       "      <td>447.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.834</td>\n",
       "      <td>2018</td>\n",
       "      <td>443.0</td>\n",
       "      <td>0.855</td>\n",
       "      <td>4.038</td>\n",
       "      <td>0.891</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>1.086</td>\n",
       "      <td>0.057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1412</th>\n",
       "      <td>1412</td>\n",
       "      <td>손아섭</td>\n",
       "      <td>29.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>667.0</td>\n",
       "      <td>576.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.934</td>\n",
       "      <td>2018</td>\n",
       "      <td>553.0</td>\n",
       "      <td>0.950</td>\n",
       "      <td>5.150</td>\n",
       "      <td>0.886</td>\n",
       "      <td>150000.0</td>\n",
       "      <td>850.0</td>\n",
       "      <td>-0.799</td>\n",
       "      <td>-0.048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1465</th>\n",
       "      <td>1465</td>\n",
       "      <td>문규현</td>\n",
       "      <td>34.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>337.0</td>\n",
       "      <td>304.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.686</td>\n",
       "      <td>2018</td>\n",
       "      <td>316.0</td>\n",
       "      <td>0.708</td>\n",
       "      <td>1.070</td>\n",
       "      <td>0.675</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>1.472</td>\n",
       "      <td>-0.011</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6 rows × 41 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      index batter_name   age      G     PA     AB      R      H    2B   3B  \\\n",
       "426     426         정의윤  31.0  112.0  381.0  349.0   44.0  112.0  16.0  0.0   \n",
       "815     815         지석훈  33.0  121.0  304.0  268.0   29.0   64.0  16.0  0.0   \n",
       "961     961         강민호  32.0  130.0  515.0  456.0   62.0  130.0  22.0  1.0   \n",
       "1372   1372         민병헌  30.0  123.0  520.0  447.0   73.0  136.0  21.0  0.0   \n",
       "1412   1412         손아섭  29.0  144.0  667.0  576.0  113.0  193.0  35.0  4.0   \n",
       "1465   1465         문규현  34.0  110.0  337.0  304.0   38.0   82.0  15.0  2.0   \n",
       "\n",
       "      ...    OPS  p_year    YAB   YOPS  previous_war  previous_OPS  \\\n",
       "426   ...  0.863    2018  217.0  0.800         1.791         0.857   \n",
       "815   ...  0.684    2018   94.0  0.472        -0.942         0.614   \n",
       "961   ...  0.843    2018  427.0  0.788         5.024         0.982   \n",
       "1372  ...  0.834    2018  443.0  0.855         4.038         0.891   \n",
       "1412  ...  0.934    2018  553.0  0.950         5.150         0.886   \n",
       "1465  ...  0.686    2018  316.0  0.708         1.070         0.675   \n",
       "\n",
       "      next_salary  salary_growth_rate  war_growth_rate  ops_growth_rate  \n",
       "426       30000.0                 0.0            0.489           -0.006  \n",
       "815       15000.0                 1.0           -1.387           -0.070  \n",
       "961      100000.0                 0.0            1.641            0.139  \n",
       "1372     100000.0               450.0            1.086            0.057  \n",
       "1412     150000.0               850.0           -0.799           -0.048  \n",
       "1465      18000.0                60.0            1.472           -0.011  \n",
       "\n",
       "[6 rows x 41 columns]"
      ]
     },
     "execution_count": 294,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_fa_2017 = data.copy()\n",
    "data_fa_2017 = data_fa_2017[data_fa_2017['year'] == 2017] # 2017년 기준\n",
    "    \n",
    "data_fa_2017 = data_fa_2017[data_fa_2017['batter_name'].isin(batter_fa_2017)] # fa_2017에 속한 사람들만 확인\n",
    "\n",
    "data_fa_2017"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "029a4398",
   "metadata": {},
   "source": [
    "#### 2018년 FA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "id": "99adbfe7",
   "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>index</th>\n",
       "      <th>batter_name</th>\n",
       "      <th>age</th>\n",
       "      <th>G</th>\n",
       "      <th>PA</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>3B</th>\n",
       "      <th>...</th>\n",
       "      <th>OPS</th>\n",
       "      <th>p_year</th>\n",
       "      <th>YAB</th>\n",
       "      <th>YOPS</th>\n",
       "      <th>previous_war</th>\n",
       "      <th>previous_OPS</th>\n",
       "      <th>next_salary</th>\n",
       "      <th>salary_growth_rate</th>\n",
       "      <th>war_growth_rate</th>\n",
       "      <th>ops_growth_rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>53</td>\n",
       "      <td>김주찬</td>\n",
       "      <td>37.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>471.0</td>\n",
       "      <td>429.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.895</td>\n",
       "      <td>2019</td>\n",
       "      <td>337.0</td>\n",
       "      <td>0.714</td>\n",
       "      <td>2.342</td>\n",
       "      <td>0.848</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.014</td>\n",
       "      <td>-0.047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>501</th>\n",
       "      <td>501</td>\n",
       "      <td>최정</td>\n",
       "      <td>31.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>489.0</td>\n",
       "      <td>406.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.915</td>\n",
       "      <td>2019</td>\n",
       "      <td>503.0</td>\n",
       "      <td>0.918</td>\n",
       "      <td>6.680</td>\n",
       "      <td>1.111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.876</td>\n",
       "      <td>0.196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>550</td>\n",
       "      <td>이재원</td>\n",
       "      <td>30.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>471.0</td>\n",
       "      <td>407.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.919</td>\n",
       "      <td>2019</td>\n",
       "      <td>451.0</td>\n",
       "      <td>0.717</td>\n",
       "      <td>0.222</td>\n",
       "      <td>0.668</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3.912</td>\n",
       "      <td>-0.251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>583</th>\n",
       "      <td>583</td>\n",
       "      <td>정근우</td>\n",
       "      <td>36.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>425.0</td>\n",
       "      <td>375.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.838</td>\n",
       "      <td>2019</td>\n",
       "      <td>277.0</td>\n",
       "      <td>0.688</td>\n",
       "      <td>2.884</td>\n",
       "      <td>0.863</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.611</td>\n",
       "      <td>0.025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>782</th>\n",
       "      <td>782</td>\n",
       "      <td>양의지</td>\n",
       "      <td>31.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>503.0</td>\n",
       "      <td>439.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.012</td>\n",
       "      <td>2019</td>\n",
       "      <td>390.0</td>\n",
       "      <td>1.012</td>\n",
       "      <td>3.162</td>\n",
       "      <td>0.814</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3.481</td>\n",
       "      <td>-0.198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>825</th>\n",
       "      <td>825</td>\n",
       "      <td>모창민</td>\n",
       "      <td>33.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>314.0</td>\n",
       "      <td>287.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.826</td>\n",
       "      <td>2019</td>\n",
       "      <td>341.0</td>\n",
       "      <td>0.824</td>\n",
       "      <td>2.207</td>\n",
       "      <td>0.846</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.637</td>\n",
       "      <td>0.020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1351</th>\n",
       "      <td>1351</td>\n",
       "      <td>채태인</td>\n",
       "      <td>36.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>420.0</td>\n",
       "      <td>376.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.816</td>\n",
       "      <td>2019</td>\n",
       "      <td>167.0</td>\n",
       "      <td>0.709</td>\n",
       "      <td>1.684</td>\n",
       "      <td>0.888</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.246</td>\n",
       "      <td>0.072</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7 rows × 41 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      index batter_name   age      G     PA     AB     R      H    2B   3B  \\\n",
       "53       53         김주찬  37.0  121.0  471.0  429.0  71.0  146.0  23.0  0.0   \n",
       "501     501          최정  31.0  115.0  489.0  406.0  95.0   99.0  16.0  1.0   \n",
       "550     550         이재원  30.0  130.0  471.0  407.0  63.0  134.0  24.0  0.0   \n",
       "583     583         정근우  36.0  102.0  425.0  375.0  63.0  114.0  24.0  1.0   \n",
       "782     782         양의지  31.0  133.0  503.0  439.0  84.0  157.0  29.0  1.0   \n",
       "825     825         모창민  33.0   81.0  314.0  287.0  38.0   80.0  10.0  1.0   \n",
       "1351   1351         채태인  36.0  130.0  420.0  376.0  44.0  110.0  18.0  0.0   \n",
       "\n",
       "      ...    OPS  p_year    YAB   YOPS  previous_war  previous_OPS  \\\n",
       "53    ...  0.895    2019  337.0  0.714         2.342         0.848   \n",
       "501   ...  0.915    2019  503.0  0.918         6.680         1.111   \n",
       "550   ...  0.919    2019  451.0  0.717         0.222         0.668   \n",
       "583   ...  0.838    2019  277.0  0.688         2.884         0.863   \n",
       "782   ...  1.012    2019  390.0  1.012         3.162         0.814   \n",
       "825   ...  0.826    2019  341.0  0.824         2.207         0.846   \n",
       "1351  ...  0.816    2019  167.0  0.709         1.684         0.888   \n",
       "\n",
       "      next_salary  salary_growth_rate  war_growth_rate  ops_growth_rate  \n",
       "53            NaN                 NaN            0.014           -0.047  \n",
       "501           NaN                 NaN            2.876            0.196  \n",
       "550           NaN                 NaN           -3.912           -0.251  \n",
       "583           NaN                 NaN            1.611            0.025  \n",
       "782           NaN                 NaN           -3.481           -0.198  \n",
       "825           NaN                 NaN            1.637            0.020  \n",
       "1351          NaN                 NaN            1.246            0.072  \n",
       "\n",
       "[7 rows x 41 columns]"
      ]
     },
     "execution_count": 269,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_fa_2018 = data.copy()\n",
    "data_fa_2018 = data_fa_2018[data_fa_2018['year'] == 2018] # 2018년 기준\n",
    "    \n",
    "data_fa_2018 = data_fa_2018[data_fa_2018['batter_name'].isin(batter_fa_2018)] # fa_2018에 속한 사람들만 확인\n",
    "\n",
    "data_fa_2018"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a730ac73",
   "metadata": {},
   "source": [
    "2017년, 2018년 데이터를 병합합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "id": "39fb6262",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_fa_1718 = pd.concat([data_fa_2017, data_fa_2018])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae04af5b",
   "metadata": {},
   "source": [
    "### 4-2. FA 계약 선수 연봉 상관관계 (2017~2018)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d25d90b2",
   "metadata": {},
   "source": [
    "#### 2017, 2018년 FA 선수들 연봉과 war, ops 상관관계"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 323,
   "id": "9ce3419b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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JVg0uZtXg4rKbIkmSJLVMq+aUSpIkSZJ0WCalkiRJkqTSmJRKkiRJkkpjUipJkiRJKo1JqSRJkiSpNCalkiRJkqTSmJRKkiRJkkpjUipJkiRJKo1JqSRJkiSpNCalkiRJkqTSmJRKkiRJkkpzfNkNkCRJcxcR5wLPAg4CN2XmZU37AvhrYAVwJzCSmX9X7Psc8MOmU706M29vV7slSZqJSakkSV0iIpYA5wFPzcyMiMsj4uTM/EFR5Qzgzsx8UVH/pRHx8Mz8NkBmvqyclkuSNDOH70qS1D1OAa7LzCy2rwZOa9p/BzDQtD0IPK74fn9EXFoksi+d7uQRsTEidkTEjt27d8932yVJmpY9pZIkdY8BYE/T9h7g5MZGZn45Ih4SEe8D9gE7gXsW+54BE0N83xkRP8rMf20+eWZuAbYArFu3LpEkqQ3sKZUkqXuMAic0bZ9YlE3IzC2Z+eLMfBWwF/jxlP0JfAp4eGubKknS3JiUSpLUPbYDpxe9nQBnAl+crmJE3AvYAHx2mt1PAL7WkhZKknSEHL4rSVKXyMzbI+JyYGtEHACGM/N7jf1Fsvo2oAacBFyUmWPFvrcAi4F+YHtm3tj2DyBJ0jRMSiVJ6iKZuRXY2lwWEVcCGzLzIPCKGY774zY0T5KkI9aSpDQivkl9iBHAAeCVTSsFSpKkeZSZ55TdBmkhqNWSkdExdu6tsnxpP0MDi6hU4vAHSppVq3pKR30XmiRJknpFrZZcc/OtbNo2THW8Rn9fhc0b1rJ+zQoTU+kYtWqho+Mi4m8i4oqIeMZ0FXwXmiRJkrrFyOjYREIKUB2vsWnbMCOjYyW3TOp+LekpzczTACKiD/hoRNycmT+YUsd3oUmSJKkr7NxbnUhIG6rjNXbtq7JqcHFJrZJ6Q0tfCZOZ48B1wJpWXkeSJElqpeVL++nvm/ync39fhWVL+ktqkdQ72vGe0scBw224jiRJktQSQwOL2Lxh7URi2phTOjSwqOSWSd2vVavvfgC4k/r70K7KzJFWXEeSJElqh0olWL9mBasvPJVd+6osW+Lqu9J8adWc0j9qxXklSZKkslQqwarBxc4hleZZO4bvSpIkSZI0rVa9p1SSJElHoVZLRkbH2Lm3yvKlDhGV1PtMSiVJkjpErZZcc/OtE+/DbCyms37NChNTST3L4buSJEkdYmR0bCIhhfp7MDdtG2ZkdKzklklS65iUSpIkdYide6sTCWlDdbzGrn3VklokaaGq1ZJbdu/nph/dxi2791OrZcuu5fBdSZKkDrF8aT/9fZVJiWl/X4VlS/pLbJWkhabdUwnsKZUkSeoQQwOL2LxhLf199T/RGn8IDg0sKrllkhaSdk8lsKdUkiSpQ1Qqwfo1K1h94ans2ldl2RJX35XUfrNNJWjFe3pNSiVJkjpIpRKsGlzckj/8JGku2j2VwOG7kiRJkqQJ7Z5KYE+pJEmSJGlCu6cSmJRKkiRJkiZp51QCh+9KkiRJkkpjUipJkiRJKo3DdyVJ6iIRcS7wLOAgcFNmXta0L4C/BlYAdwIjmfl3xb7TgYuBMeBnmbmp3W2XJGk69pRKktQlImIJcB5wVmY+E3hYRJzcVOUM4M7MfFFm/nfg9oh4eJGsvgY4OzM3AHdExBlt/wCSJE3DpHSBq9WSW3bv56Yf3cYtu/dTq2XZTZIkzewU4LrMbPxjfTVwWtP+O4CBpu1B4HHAg4DvZuZdRflVU44DICI2RsSOiNixe/fu+W672sj4LqmbOHx3AavVkmtuvpVN24apjtcm3j+0fs2Kli33LEk6JgPAnqbtPcBET2lmfjkiHhIR7wP2ATuBe85wXHPy2jh+C7AFYN26dWYxXcr4Lqnb2FO6gI2Mjk0ELIDqeI1N24YZGR0ruWWSpBmMAic0bZ9YlE3IzC2Z+eLMfBWwF/jxXI5T7zC+S+o2JqUL2M691YmA1VAdr7FrX7WkFkmSDmM7cHoxRxTgTOCL01WMiHsBG4DPAj8EHhoRdy92nwXc0OK2qiTGd0ndpmXDdyPieOCDwL7MPL9V19HRW760n/6+yqTA1d9XYdmS/hJbJUmaSWbeHhGXA1sj4gAwnJnfa+wvktW3ATXgJOCizBwr9l0KXBER+4HdwLVt/wBqC+O7pG7TyjmlfwH8M/WntOpAQwOL2Lxh7SFzToYGFpXdNEnSDDJzK7C1uSwirgQ2ZOZB4BUzHHc9cH3rW6iyGd8ldZuWJKUR8VxgB/D9WepsBDYCrFy5shXN0GFUKsH6NStYfeGp7NpXZdmSfoYGFrkIgiR1mcw8p+w2qHMY3yV1m3lPSiPikcCKzPxwRAzNVM8V/jpDpRKsGlzMqsHFZTdFkiTNE+O7pG7Sip7SZwP3joh3AUuAR0XEBZn5jhZcS5IkSZLUxeY9Kc3MSxrfFz2lf2FCKkmaTa2WjIyOsXNvleVLHWooSdJC0sqFjgAOAgdafA1JUher1ZJrbr71kEVZ1q9ZYWIqSdIC0NL3lGbmTzPzZa28hiSpu42Mjk0kpFB/n+KmbcOMjI6V3DJJktQOLU1KJUk6nJ17q5Pepwj1xHTXvmpJLZIkSe1kUipJKtXypf30900OR/19FZYt6S+pRZIkqZ1MSiVJpRoaWMTmDWsnEtPGnNKhgUUlt0ySJLVDqxc6kiRpVpVKsH7NClZfeCq79lVZtsTVdyVJWkhMSiVJpatUglWDi1k1uLjspkiSpDZz+K4kSZIkqTQmpZIkSZKk0jh8V5IkaZ7UasnI6Bg791ZZvtT50ZI0FyalkiRJ86BWS665+VY2bRumOl6bWEl6/ZoVJqaSNAuH70pSm9VqyS2793PTj27jlt37qdWy7CZJmgcjo2MTCSlAdbzGpm3DjIyOldwySeps9pRKUhvZkyL1rp17qxMJaUN1vMaufVVXlpakWdhTKkltZE+K1LuWL+2nv2/yn1b9fRWWLekvqUWS1B1MSiWpjWbrSdHCFREnRcSqstuhYzM0sIjNG9ZOJKaNkRBDA4tKbpkkdbbDDt+NiJdk5nvb0RhJ6nWNnpTmxNSelIUnIjZn5qbi+7XAXwH/FRFfy8y3l9o4HbVKJVi/ZgWrLzyVXfuqLFvi6ruSNBdz6Sl9ckTYoypJ88CeFBXu1fT9nwJ/mJl/BDy2pPZonlQqwarBxTx21UmsGlxsQipJczCXhY4OAMMRsQM4CBzIzJe3tlmS1JvsSVHhnhFxN+A5wCcz866i/ECJbZIkqRRzSUr/DDiuaftgi9oiSQtCoyfF1TgXtH8EPg18PTNf3VR+x+EOjIhzgWdRj8c3ZeZlU/ZfDDwa+BX1+P3yzLwjIj4H/LCp6qsz8/Zj+hSSJM2DuSSlPwceDjTGliXws5a1SJKkHpeZX4mIM4HqlPILZjsuIpYA5wFPzcyMiMsj4uTM/EGx/97A6Zn5+8X2JcAZwNXF+V827x9GkqRjNJe5om8B3gY8E3gr9WAoSZKOUkRcAHwU+FxE/PYRHHoKcF1mZrF9NXBa0/5fAr+IiPtExD2ABwBfLvbtj4hLi0T2pTO0a2NE7IiIHbt37z6izyRJ0tGaS0/pQeBrmfmnxYJH72lxmyRJ6nWPzsynF4njO4EXzPG4AWBP0/Ye4OTGRtF7+n7gAmAUuDEzR4t9zwCIiADeGRE/ysx/bT55Zm4BtgCsW7cukaQFolZLRkbH2Lm3yvKlrvfQbnNJSmvAcRGxKjNviYjxuZw4It4B9FEf9vv9zHzD0TdTkqSecgAgM++s54hzNgqsado+sSgDICIeDjw9M19TbJ899dVuReL6KepTcyYlpZK0ENVqyTU338qmbcNUx2sTK+OvX7PCxLRN5pKUfhL4KfCBiEjqCzMcVvO8mIj4QEQ8ODP//eiaKbWPT8oktcGjIuLPgQAeVnwPcDAz/3aW47YDF0XE/yyG8J4JvKlp/32KczbcCQxNc54nUI/vkrTgjYyOTSSkANXxGpu2DbP6wlNdlLBN5pKUPgVYDXwK+HBm3nokF4iIE4BBYOeU8o3ARoCVK1ceySmllvFJmaQ2eRX1lXED+D6wm/pCgrOucJ+Zt0fE5cDWiDgADGfm95qqXAs8ISI+CNwF3BO4ECAi3gIsBvqB7Zl547x+Iklz4sPvzrNzb3UiIW2ojtfYta9qUtomh01KM/MvASLid4A/iYjfyMxzDndcRDwQ+B/UF2W4eOqy885bUSfySZmkNtkBXEZ9CO3PgfsD/w5cdLgDM3MrsLW5LCKuBDZk5kHgtTMc98fH2GZJx8iH351p+dJ++vsqkxLT/r4Ky5b0l9iqhWUuq+8SEY+gPkRoEPjiXI7JzB9m5rnUF2A4NyJWHHUrpTaZ7UmZJM2jNwM3ZOZpmfm8zHwi8C/A3xzNyTLznCIhldTBZnr4PTI6VnLLFrahgUVs3rCW/r56atR4WDA0sOgwR2q+HLanNCK+BnwMeFdmHvH7STPzQEQcB9ztKNontZVPyiS1ycrM/HhzQWZ+IiKeWVaDpE7WK0NeHSbamSqVYP2aFay+8FR27auybEn3/ox1q7nMKX098HTgjyPi6sz8wuEOiIhHAZuA/cBS4MrM/MmxNFRqh8aTsqnDanxSJmmeHZihfE4r3EsLSS8NefXhd+eqVIJVg4t9OFCSucwp/QzwmYi4J/DSiHhnZv7WYY75BvC8eWqj1DY+KZPUJtWI+M3M/FGjICJ+E0cVSYfopfUefPgtTW8uw3dPAM4Bnkz9Jd0vb3WjpDL5pExSG/wZ9RV0twM/BB4IPA4f6EqH6KUhrz78lqY3l+G7/whcCTwvM3/V4vZIktTzMnNnRPwe9UT0ftRfu/bazKzNfqSgd+YXam56bcirD7+lQ81l+O7z29EQSZIWksxM4P+U3Y5u00vzCzU3DnmVet9cekolSZI6Qi/NL9TcOORV6n0mpZIkqWv00vxCzZ1DXqXeVim7AZIkSXPVmF/YrJvnF0qSTEolSVIXacwvbCSmzi+UpO7n8F1JktQ1ZppfCHDL7v2uyCtJXcikVJIkdZWp8wtdkVeSupvDdyVJUlebaUXekdGxklsmSZoLk1Ids1otuWX3fm760W3csns/tVqW3SRJ0gIy24q8kqTO5/BdHROHTEmSytZYkbc5MXVFXknqHvaU6pg4ZEqSVDZX5JWk7mZPqY6JLzGXJJVtphV5HbEjSd3BpFTHxCFTkqROMHVFXklS93D4ro6JQ6YkSZIkHQt7SnVMHDIlSZIk6ViYlOqYOWRKkiRJ0tEyKZUkqYtExLnAs4CDwE2ZedmU/RcDjwZ+BRwHvDwz74iI04GLgTHgZ5m5qb0tlyRpes4plSSpS0TEEuA84KzMfCbwsIg4uWn/vYHTM/N5mfki4LvAGRERwGuAszNzA3BHRJzR/k8gSdKhWpaURsQ7I+KfImJrRDyvVdeRJGkBOQW4LjOz2L4aOK1p/y+BX0TEfSLiHsADgC8DDwK+m5l3FfWumnIcABGxMSJ2RMSO3bt3t+ozSJI0ScuG72bmywGKp7NfBD7UqmtJkrRADAB7mrb3ABM9pZmZEfF+4AJgFLgxM0cj4sHTHDcw9eSZuQXYArBu3bqcul+SpFZox/DduzM5EEqSpKMzCpzQtH1iUQZARDwceHpmvi4z/wG4MyJecrjjJEkqUzuS0jcCl00tdIiQJElHbDtwejEKCeBM6qORGu4DNL+T605gCPgh8NCIuHtRfhZwQ2ubKknS3LR09d1iBcBvZuaNU/c5REiSpCOTmbdHxOXA1og4AAxn5veaqlwLPCEiPgjcBdwTuDAzD0bEpcAVEbEf2F3UlSSpdC1LSiPiAmAsM69o1TUkSVpoMnMrsLW5LCKuBDZk5kHgtTMcdz1wfetbKEnSkWnJ8N2IOAV4NfCoiHhX8TXYimtJkrTQZeY5RUIqSVLXaUlPaWb+H2BlK84tSZIkSeod7VjoSJIkSZKkaZmUSpIkSZJKY1IqSZIkSSqNSakkSZIkqTQmpZIkSZKk0piUSpIkSZJKY1IqSZIkSSqNSakkSZIkqTQmpZIkSZKk0piUSpIkSZJKY1IqSZIkSSrN8WU3QEevVktGRsfYubfK8qX9DA0solKJspslSZIkSXNmUtqlarXkmptvZdO2YarjNfr7KmzesJb1a1aYmGqCDy4kSZLU6Ry+26VGRscmElKA6niNTduGGRkdK7ll6hSNBxdPe+uXeM57tvO0t36Ja26+lVoty26aJEmSNMGktEvt3FudSEgbquM1du2rltQidRofXEiSJKkbmJR2qeVL++nvm/y/r7+vwrIl/SW1SJ3GBxeSJEnqBialXWpoYBGbN6ydSEwbc0qHBhaV3DJ1Ch9cSJIkqRu40FGXqlSC9WtWsPrCU9m1r8qyJS5io8kaDy6mLoblgwtJkiR1EpPSLlapBKsGF7NqcHHZTVEH8sGFJEmSuoFJqdTDfHAhSZKkTteypDQijgP+Cnh0Zq5v1XUkSVpIIuJc4FnAQeCmzLysad9q4FVN1R8HvDQzvxoR3wS2F+UHgFdmpu+IkiSVrpU9pU8HPgk8poXXkCRpwYiIJcB5wFMzMyPi8og4OTN/AJCZ3wNeVtQ9Drga+Fpx+GhmvqyMdkuSNJuWrb6bmVdn5vbD15QkSXN0CnBdUw/n1cBpM9Q9B7i6qe5xEfE3EXFFRDxjugMiYmNE7IiIHbt3757XhkuSNJPS5pRGxEZgI8DKlSvLaoYkSd1kANjTtL0HOHmGui8Azm5sZOZpABHRB3w0Im5u9LA21dkCbAFYt26dQ3slSW1R2ntKM3NLZq7LzHWDg4NlNUOSpG4yCpzQtH1iUTZJRPwe8JXMrE7dl5njwHXAmlY1UpKkI1FaUipJko7YduD0iGi82+lM4IvT1HsF8I5ZzvM4YHh+myZJ0tFpx/Dd8TZcQ5KknpeZt0fE5cDWiDgADBeLG02IiEcAP8/M26aUfwC4E1gMXJWZI21qtiRJs2p5UpqZT231NSRJWigycyuwtbksIq4ENmTmwcz8FvWe0qnH/VGbmihJ0hEpbaEjSZI0PzLznLLbIEnS0XJOqSRJkiSpNCalkiRJkqTSmJRKkiRJkkrjnNLDqNWSkdExdu6tsnxpP0MDi6hU4vAHSpIkSZIOy6R0FrVacs3Nt7Jp2zDV8Rr9fRU2b1jL+jUrTEwlSZIkaR44fHcWI6NjEwkpQHW8xqZtw4yMjpXcMkmSJEnqDQuup/RIhuPu3FudSEgbquM19ozdNbHfIb2SJEmSdPQWVFJ6pMNxly/tp7+vMikxfcDAPfj57VWe976vOqRXkiRJko7Rghq+e6TDcYcGFrF5w1r6++q3qb+vwqVnPYxLrvy2Q3olSZIkaR4sqJ7SmYbj7tpXZdXg4kPqVyrB+jUrWH3hqezaV2XZkv4jPockSZIkaWYLKimdbjhuf1+FZUv6ZzymUglWDS6elHAe6TkkSZIkSdNbUMN3pxuOu3nDWoYGFrX1HJIkSZKkugXVUzrdcNwjXTl3Ps4hSZIkSapbUEkpTD8ct4xzSJIkSZIW2PBdSZIkSVJnMSmVJEmSJJXGpFSSJEmSVBqTUkmSJElSaUxKJUmSJEmladnquxFxLvAs4CBwU2Ze1qprSZIkSZK6U0t6SiNiCXAecFZmPhN4WESc3IprSZIkSZK6V6uG754CXJeZWWxfDZzWomtJkiRJkrpUq4bvDgB7mrb3AJN6SiNiI7ARYOXKlS1qhiRJvWW26TERsRp4VVP1xwEvzcyvOq1GktSpWpWUjgJrmrZPLMomZOYWYAvAunXrEkmSNKum6TFPzcyMiMsj4uTM/AFAZn4PeFlR9zjqI5W+drjjms7vA2NJUtu1avjuduD0iIhi+0zgiy26liRJC8WRTI85B7i6qDun4zJzS2auy8x1g4OD89x0SZKm15Ke0sy8PSIuB7ZGxAFguHh6K0mSjt5hp8c0eQFw9lEcJ0lSW7XslTCZuRXY2qrzS5K0AB12egxARPwe8JXMrB7JcZIklaFVw3clSdL8m+v0mFcA7ziK4yRJaruW9ZRKkqT5NZfpMRHxCODnmXnbkRwnSVJZTEolSeoi002PiYgrgQ2ZeTAzv0W9p/Swx7VarZaMjI6xc2+V5Uv7GRpYRKUShz9QkrSg9ExSauCTJC1UmXlO2W2YqlZLrrn5VjZtG6Y6XqO/r8LmDWtZv2bFIfHZGC5JC1tPJKVHEvgkSVLrjYyOTcRlgOp4jU3bhll94amsGlw8Uc8YLknqiYWOZgp8I6NjJbdMkqSFaefe6kRcbqiO19i1rzqpzBguSeqJpHSugU+SJLXH8qX99PdN/jOjv6/CsiX9k8qM4ZKknkhK5xr4JElSewwNLGLzhrUT8bkxLHdoYNGkesZwSVJPzCltBL6p81GmBj5JktQelUqwfs0KVl94Krv2VVm2ZPoFjIzhkqSeSErnGvgkSVL7VCrBqsHFkxY2mq6OMVySFraeSEphboFPkiR1HmO4JC1sPTGnVJIkSZLUnUxKJUmSJEmlMSmVJEmSJJXGpFSSJEmSVBqTUkmSJElSaSIzy24DEbEb+HHZ7TgKJwG3ld2IDuL9OJT3ZDLvx2Tej0PN1z15QGYOzsN5Fixjc8/wfhzKezKZ92My78ehWh6bOyIp7VYRsSMz15Xdjk7h/TiU92Qy78dk3o9DeU90rPwZmsz7cSjvyWTej8m8H4dqxz1x+K4kSZIkqTQmpZIkSZKk0piUHpstZTegw3g/DuU9mcz7MZn341DeEx0rf4Ym834cynsymfdjMu/HoVp+T5xTKkmSJEkqjT2lkiRJkqTSmJRKkiRJkkpzfNkN6BQR8U6gBpwIfDozPxQRpwMXA2PAzzJzU1F3Xso7XUQcD3wQ2JeZ5y/k+xERvwm8ttg8CLweOA14VrF9U2ZeVtQ9dz7KO11EXAw8GvgVcBzwcuAUFtDPSEQcB/wV8OjMXF+UtfT3pJPvzQz3443U/11dBPxbZv59Uf4I4E3AfuAOYGNmjs9Xeds+tFrK2HwoY/OvGZsPZWw2Nk/VNbE5M/1q+gIC+FLx388Ddy/K3wicMV/lZX/OOd6LNwBPBt67kO9H0eaPAic2lS0BruHX87IvB06er/KyP/Mc7sm9qf+B2Ni+BDhrof2MFJ/5McDnmn5WWnYPOv3eTL0f0+z/LLCo+P7Tjd8p4CXAS+ez3K/e+sLY3Hwv3oCxufEzYWyefE/ujbEZjM2z3o9p9ndEbHb47qHuDuwBHgR8NzPvKsqvov70bb7KO1pEPBfYAXy/KFrI9+O3gZ8Cb4qIKyLiJdSfOl6XxW8bcDX1zzFf5Z3ul8AvIuI+EXEP4AHArSywn5HMvDoztzcVtfr3pKPvzTT3Y0JEBPUerzsjoh84kJl7it1XAafNV/n8fip1CGMzxuYpjM2HMjZjbJ6qW2Kzw3cP9UbgMmCAegBs2FOUzVd5x4qIRwIrMvPDETFUFC/Y+wEMAQ8FzszMajGc7L7AT5rq7KH+dHU/h36+oynvaJmZEfF+4AJgFLiR+jChhfoz0tDq35NuvjcXAe/PzFpEnAjc3rRvD/VhRPNVrt5jbDY2TzWEsXkSY/OMjM0z65jYbFLapBiH/83MvDEiHgyc0LT7ROq/4KPzVN7Jng3cOyLeRX0Iy6OAf2Ph3o87qD8xrRbbnwQezsyfb808lHe0iHg48PTMfE2xfTbwMBbuz0jDfH3Wnro3EbEBuFtmbiuKpvsce+axXD3E2DzB2DyZsXkKY/OMjM3T6LTY7PDdQkRcAIxl5hVF0Q+Bh0bE3Yvts4Ab5rG8Y2XmJZl5fma+jPoCAjcCb2eB3g/g68DvNG0/BvgBcHox7AHgTOCLwPZ5Ku9096E+h6LhToqn1gv0Z6Sh1f9udN29iYizgIdk0yIhxRCnvohoBK2zgBvmq7zFH0ltZGz+NWPzIYzNhzI2T8/YPEUnxmZ7SoGIOAV4NfCZ4gkkwOuAS4ErImI/sBu4thgacczl7f2Ex+Qg9XHhB+fjc3fj/cjMX0TEtRGxlfqqaiOZ+fHiH5+tEXEAGM7M7wFExOXzUd7hrgWeEBEfBO4C7glcSP0p9YL7GQHGAVr9e9JF92YcICIeAGwBPtH0b+s/FD/jlwDviYi9wAHglcX++SpXlzM2z8rYbGyejrF5MmPzZB0dmxurikmSJEmS1HYO35UkSZIklcakVJIkSZJUGpNSSZIkSVJpTEolSZIkSaUxKZUkSZIklcakVOpwEXFeRDyn7HZIkqQ6Y7M0v3xPqdT5jgN8d5MkSZ3D2CzNI5NSqUQR8VvAXwA7gW8WxWuL//44M986pf5FwEoggK9n5hUR8TrgHsDq4hw/y8z3R8T9gEsy87AvLJYkSXXGZqn9HL4rlevxwBcyc1NmXg6MUA9iNWDjNPX/A7gnMA68rCg7DtiXmWcDbwHOLMrPBT7SuqZLktSTjM1Sm5mUSuV6L1CLiLdHxGOAS6k/Qf1TYH9zxYh4JPBHwEWZeQnQ17T7JoDMvAMYjYjlwGMz88Z2fAhJknqIsVlqM4fvSiXKzATeFxH9wKeBr2bmvoi4D/CQKdUfCHw+M38VEWuBE5v2HWj6/sPAG4FvtK7lkiT1JmOz1H4mpVKJIuJs4GnA3YCPA4+KiLcC/cAXimoHi6/PAu+KiNXUF1f4xpT9DdcD/wt4UoubL0lSzzE2S+0X9YdBknpFRFSA92XmC8tuiyRJMjZLh+OcUqmHFEOH3kf9aawkSSqZsVk6PHtKJUmSJEmlsadUkiRJklQak1JJkiRJUmlMSiVJkiRJpTEplSRJkiSVxqRUkiRJklSa/x/T/GGpSgsOaQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1152x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 4))\n",
    "\n",
    "plt.subplot(121)\n",
    "plt.title('연봉 & WAR 상관관계')\n",
    "sns.scatterplot(x = data_fa_1718['salary'], y = data_fa_1718['war'])\n",
    "plt.xlabel('salary')\n",
    "plt.ylabel('war')\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.title('연봉 & OPS 상관관계')\n",
    "sns.scatterplot(x = data_fa_1718['salary'], y = data_fa_1718['OPS'])\n",
    "plt.xlabel('salary')\n",
    "plt.ylabel('OPS')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffa787e6",
   "metadata": {},
   "source": [
    "#### 선형회귀로 보는 상관관계"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 324,
   "id": "3c803d1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 4))\n",
    "\n",
    "plt.subplot(121)\n",
    "plt.title('연봉 & WAR 선형회귀')\n",
    "sns.regplot(x='salary', y='war', data=data_fa_1718)\n",
    "plt.xlabel('salary')\n",
    "plt.ylabel('war')\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.title('연봉 & OPS 선형회귀')\n",
    "sns.regplot(x='salary', y='OPS', data=data_fa_1718)\n",
    "plt.xlabel('salary')\n",
    "plt.ylabel('OPS')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afcb5719",
   "metadata": {},
   "source": [
    "FA 계약 시점으로 데이터를 살펴봤을 때\n",
    "\n",
    "이전 상관관계들보다 **연봉**과 **war, OPS**간 상관관계가 다소 있어 보입니다.\n",
    "\n",
    "다만, FA 계약데이터(외부데이터)가 너무 적어서 많은 데이터 분포를 파악할 수 없고\n",
    "\n",
    "이로 인해 상관관계 근거로 쓰이기에 부족하다 판단되어 아쉬웠습니다."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}