1228.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "42be7f45-9072-491a-b304-17b98a0824bb",
   "metadata": {},
   "source": [
    "## 국민연금 데이터를 활용한 연봉 추정 및 퇴직자수 예측"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f33569bb-2d52-40ce-8bf5-0ea15b678ea3",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "\n",
    "\n",
    "warnings.filterwarnings('ignore')\n",
    "plt.rc(\"font\",family=\"Malgun Gothic\")\n",
    "plt.rc(\"axes\",unicode_minus=False)\n",
    "plt.style.use(\"fivethirtyeight\") \n",
    "plt.rcParams['figure.figsize'] = (10, 7)\n",
    "\n",
    "pd.set_option('display.float_format', lambda x: '%.2f' % x)\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed817b8e-bd00-4f8a-a3c5-dcac7eab4e95",
   "metadata": {
    "tags": []
   },
   "source": [
    "## EDA(탐색적 데이터 분석)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4eda3f0-60b9-4310-9816-4ea239e4fcbe",
   "metadata": {},
   "source": [
    "### 데이터 불러오기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "dcfe35f6-98da-414e-922a-e2d0f24b8490",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "df1 = pd.read_csv('국민연금 가입 사업장 내역 1월.csv',encoding='cp949')\n",
    "df2 = pd.read_csv('국민연금 가입 사업장 내역 2월.csv',encoding='cp949')\n",
    "df3 = pd.read_csv('국민연금 가입 사업장 내역 3월.csv',encoding='cp949')\n",
    "df4 = pd.read_csv('국민연금 가입 사업장 내역 4월.csv',encoding='cp949')\n",
    "df5 = pd.read_csv('국민연금 가입 사업장 내역 5월.csv',encoding='cp949')\n",
    "df6 = pd.read_csv('국민연금 가입 사업장 내역 6월.csv',encoding='cp949')\n",
    "df7 = pd.read_csv('국민연금 가입 사업장 내역 7월.csv',encoding='cp949')\n",
    "df8 = pd.read_csv('국민연금 가입 사업장 내역 8월.csv',encoding='cp949')\n",
    "df9 = pd.read_csv('국민연금 가입 사업장 내역 9월.csv',encoding='cp949')\n",
    "df10 = pd.read_csv('국민연금 가입 사업장 내역 10월.csv',encoding='cp949')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8061a1c4-bd2f-421c-98c2-1a86665e1063",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.concat([df1,df2,df3,df4,df5,df6,df7,df8,df9,df10], axis=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4922d322-18bf-4840-8fc0-cb03516546df",
   "metadata": {},
   "source": [
    "### 전체적인 데이터 살펴보기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "38a8aa01-9171-4c15-9e92-8b73c488e60d",
   "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>자료생성년월</th>\n",
       "      <th>사업장명</th>\n",
       "      <th>사업자등록번호</th>\n",
       "      <th>사업장가입상태코드 1 등록 2 탈퇴</th>\n",
       "      <th>우편번호</th>\n",
       "      <th>사업장지번상세주소</th>\n",
       "      <th>사업장도로명상세주소</th>\n",
       "      <th>고객법정동주소코드</th>\n",
       "      <th>고객행정동주소코드</th>\n",
       "      <th>법정동주소광역시도코드</th>\n",
       "      <th>...</th>\n",
       "      <th>사업장형태구분코드 1 법인 2 개인</th>\n",
       "      <th>사업장업종코드</th>\n",
       "      <th>사업장업종코드명</th>\n",
       "      <th>적용일자</th>\n",
       "      <th>재등록일자</th>\n",
       "      <th>탈퇴일자</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>당월고지금액</th>\n",
       "      <th>신규취득자수</th>\n",
       "      <th>상실가입자수</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jan-22</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>1</td>\n",
       "      <td>31409</td>\n",
       "      <td>충청남도 아산시 둔포면</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>4420036032</td>\n",
       "      <td>4420036032</td>\n",
       "      <td>44</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>252901</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>1988-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>597</td>\n",
       "      <td>268966860</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jan-22</td>\n",
       "      <td>글로웨이 주식회사</td>\n",
       "      <td>110812</td>\n",
       "      <td>1</td>\n",
       "      <td>6072</td>\n",
       "      <td>서울특별시 강남구 청담동</td>\n",
       "      <td>서울특별시 강남구 영동대로137길</td>\n",
       "      <td>1168010400</td>\n",
       "      <td>1168056500</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>452101</td>\n",
       "      <td>미장  타일 및 방수 공사업</td>\n",
       "      <td>1988-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>1265560</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jan-22</td>\n",
       "      <td>신일기업(주)</td>\n",
       "      <td>201810</td>\n",
       "      <td>1</td>\n",
       "      <td>4537</td>\n",
       "      <td>서울특별시 중구 충무로2가</td>\n",
       "      <td>서울특별시 중구 퇴계로</td>\n",
       "      <td>1114012500</td>\n",
       "      <td>1114055000</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>381002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1988-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18</td>\n",
       "      <td>5879100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jan-22</td>\n",
       "      <td>디에스디엘(주)</td>\n",
       "      <td>104811</td>\n",
       "      <td>1</td>\n",
       "      <td>4526</td>\n",
       "      <td>서울특별시 중구 남대문로4가</td>\n",
       "      <td>서울특별시 중구 세종대로</td>\n",
       "      <td>1114011700</td>\n",
       "      <td>1114054000</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>701201</td>\n",
       "      <td>비주거용 건물 임대업(점포  자기땅)</td>\n",
       "      <td>1988-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17</td>\n",
       "      <td>4330100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jan-22</td>\n",
       "      <td>(주)헤럴드</td>\n",
       "      <td>104810</td>\n",
       "      <td>1</td>\n",
       "      <td>4336</td>\n",
       "      <td>서울특별시 용산구 후암동</td>\n",
       "      <td>서울특별시 용산구 후암로4길</td>\n",
       "      <td>1117010100</td>\n",
       "      <td>1117051000</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>221200</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>1988-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>314</td>\n",
       "      <td>119581820</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월       사업장명   사업자등록번호   사업장가입상태코드 1 등록 2 탈퇴   우편번호        사업장지번상세주소  \\\n",
       "0  Jan-22  (주)니프코코리아    211814                     1  31409     충청남도 아산시 둔포면   \n",
       "1  Jan-22  글로웨이 주식회사    110812                     1   6072    서울특별시 강남구 청담동   \n",
       "2  Jan-22    신일기업(주)    201810                     1   4537   서울특별시 중구 충무로2가   \n",
       "3  Jan-22   디에스디엘(주)    104811                     1   4526  서울특별시 중구 남대문로4가   \n",
       "4  Jan-22     (주)헤럴드    104810                     1   4336    서울특별시 용산구 후암동   \n",
       "\n",
       "            사업장도로명상세주소   고객법정동주소코드   고객행정동주소코드   법정동주소광역시도코드  ...  \\\n",
       "0  충청남도 아산시 둔포면 아산밸리남로  4420036032  4420036032            44  ...   \n",
       "1   서울특별시 강남구 영동대로137길  1168010400  1168056500            11  ...   \n",
       "2         서울특별시 중구 퇴계로  1114012500  1114055000            11  ...   \n",
       "3        서울특별시 중구 세종대로  1114011700  1114054000            11  ...   \n",
       "4      서울특별시 용산구 후암로4길  1117010100  1117051000            11  ...   \n",
       "\n",
       "    사업장형태구분코드 1 법인 2 개인   사업장업종코드              사업장업종코드명        적용일자  재등록일자  \\\n",
       "0                     1    252901     포장용 플라스틱 성형용기 제조업  1988-01-01    NaN   \n",
       "1                     1    452101       미장  타일 및 방수 공사업  1988-01-01    NaN   \n",
       "2                     1    381002                   NaN  1988-01-01    NaN   \n",
       "3                     1    701201  비주거용 건물 임대업(점포  자기땅)  1988-01-01    NaN   \n",
       "4                     1    221200       잡지 및 정기 간행물 발행업  1988-01-01    NaN   \n",
       "\n",
       "   탈퇴일자  가입자수     당월고지금액   신규취득자수   상실가입자수  \n",
       "0   NaN   597  268966860        1        6  \n",
       "1   NaN     3    1265560        0        0  \n",
       "2   NaN    18    5879100        0        0  \n",
       "3   NaN    17    4330100        0        0  \n",
       "4   NaN   314  119581820        4        4  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c83d6edf-8717-415b-8608-146d12d878cc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 5449333 entries, 0 to 546813\n",
      "Data columns (total 22 columns):\n",
      " #   Column                Dtype \n",
      "---  ------                ----- \n",
      " 0   자료생성년월                object\n",
      " 1    사업장명                 object\n",
      " 2    사업자등록번호              int64 \n",
      " 3    사업장가입상태코드 1 등록 2 탈퇴  int64 \n",
      " 4    우편번호                 object\n",
      " 5    사업장지번상세주소            object\n",
      " 6    사업장도로명상세주소           object\n",
      " 7    고객법정동주소코드            int64 \n",
      " 8    고객행정동주소코드            object\n",
      " 9    법정동주소광역시도코드          int64 \n",
      " 10   법정동주소광역시시군구코드        int64 \n",
      " 11   법정동주소광역시시군구읍면동코드     int64 \n",
      " 12   사업장형태구분코드 1 법인 2 개인  int64 \n",
      " 13   사업장업종코드              object\n",
      " 14   사업장업종코드명             object\n",
      " 15   적용일자                 object\n",
      " 16   재등록일자                object\n",
      " 17   탈퇴일자                 object\n",
      " 18   가입자수                 int64 \n",
      " 19   당월고지금액               int64 \n",
      " 20   신규취득자수               int64 \n",
      " 21   상실가입자수               int64 \n",
      "dtypes: int64(11), object(11)\n",
      "memory usage: 956.2+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9de4e3b1-d86d-44b6-b4ae-24a77bcd78a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[' 사업자등록번호'] = df[' 사업자등록번호'].astype(object) #데이터 타입 변환\n",
    "df[' 사업장가입상태코드 1 등록 2 탈퇴'] = df[' 사업장가입상태코드 1 등록 2 탈퇴'].astype(object)\n",
    "df[' 고객법정동주소코드'] = df[' 고객법정동주소코드'].astype(object)\n",
    "df[' 법정동주소광역시도코드'] = df[' 법정동주소광역시도코드'].astype(object)\n",
    "df[' 법정동주소광역시시군구코드'] = df[' 법정동주소광역시시군구코드'].astype(object)\n",
    "df[' 법정동주소광역시시군구읍면동코드'] = df[' 법정동주소광역시시군구읍면동코드'].astype(object)\n",
    "df[' 사업장형태구분코드 1 법인 2 개인'] = df[' 사업장형태구분코드 1 법인 2 개인'].astype(object)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ebc3d9b9-a54c-495b-97e4-f4b6da141bee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5449323, 22)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.duplicated(keep=False)] # 중복된 행 출력\n",
    "df = df.drop_duplicates() # 중복된 행 제거\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "32da0666-f433-4454-aedd-00ddf103e830",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "자료생성년월                        0\n",
       " 사업장명                         0\n",
       " 사업자등록번호                      0\n",
       " 사업장가입상태코드 1 등록 2 탈퇴          0\n",
       " 우편번호                         0\n",
       " 사업장지번상세주소                    0\n",
       " 사업장도로명상세주소                   0\n",
       " 고객법정동주소코드                    0\n",
       " 고객행정동주소코드                    0\n",
       " 법정동주소광역시도코드                  0\n",
       " 법정동주소광역시시군구코드                0\n",
       " 법정동주소광역시시군구읍면동코드             0\n",
       " 사업장형태구분코드 1 법인 2 개인          0\n",
       " 사업장업종코드                      0\n",
       " 사업장업종코드명                 93765\n",
       " 적용일자                         0\n",
       " 재등록일자                  5317246\n",
       " 탈퇴일자                   5187351\n",
       " 가입자수                         0\n",
       " 당월고지금액                       0\n",
       " 신규취득자수                       0\n",
       " 상실가입자수                       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum() #결측치 개수"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c403348-b866-47c7-8fd5-b36eadf7c0e6",
   "metadata": {},
   "source": [
    "### 이상치 분석"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ffc33b55-5b71-4457-91c4-93898f93bec1",
   "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>가입자수</th>\n",
       "      <th>당월고지금액</th>\n",
       "      <th>신규취득자수</th>\n",
       "      <th>상실가입자수</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5449323.00</td>\n",
       "      <td>5449323.00</td>\n",
       "      <td>5449323.00</td>\n",
       "      <td>5449323.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>19.32</td>\n",
       "      <td>5864079.63</td>\n",
       "      <td>0.90</td>\n",
       "      <td>0.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>257.31</td>\n",
       "      <td>110514952.90</td>\n",
       "      <td>11.35</td>\n",
       "      <td>10.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.00</td>\n",
       "      <td>858140.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.00</td>\n",
       "      <td>1516020.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>12.00</td>\n",
       "      <td>3138640.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>117613.00</td>\n",
       "      <td>57232874680.00</td>\n",
       "      <td>16461.00</td>\n",
       "      <td>16587.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            가입자수         당월고지금액     신규취득자수     상실가입자수\n",
       "count 5449323.00     5449323.00 5449323.00 5449323.00\n",
       "mean       19.32     5864079.63       0.90       0.71\n",
       "std       257.31   110514952.90      11.35      10.62\n",
       "min         0.00           0.00       0.00       0.00\n",
       "25%         4.00      858140.00       0.00       0.00\n",
       "50%         6.00     1516020.00       0.00       0.00\n",
       "75%        12.00     3138640.00       1.00       0.00\n",
       "max    117613.00 57232874680.00   16461.00   16587.00"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe() #수치형 데이터 통계값"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b42516ac-0a2a-4958-9819-1c8cfc800e09",
   "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>자료생성년월</th>\n",
       "      <th>사업장명</th>\n",
       "      <th>사업자등록번호</th>\n",
       "      <th>사업장가입상태코드 1 등록 2 탈퇴</th>\n",
       "      <th>우편번호</th>\n",
       "      <th>사업장지번상세주소</th>\n",
       "      <th>사업장도로명상세주소</th>\n",
       "      <th>고객법정동주소코드</th>\n",
       "      <th>고객행정동주소코드</th>\n",
       "      <th>법정동주소광역시도코드</th>\n",
       "      <th>법정동주소광역시시군구코드</th>\n",
       "      <th>법정동주소광역시시군구읍면동코드</th>\n",
       "      <th>사업장형태구분코드 1 법인 2 개인</th>\n",
       "      <th>사업장업종코드</th>\n",
       "      <th>사업장업종코드명</th>\n",
       "      <th>적용일자</th>\n",
       "      <th>재등록일자</th>\n",
       "      <th>탈퇴일자</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5449323</td>\n",
       "      <td>5449323</td>\n",
       "      <td>5449323</td>\n",
       "      <td>5449323</td>\n",
       "      <td>5449323</td>\n",
       "      <td>5449323</td>\n",
       "      <td>5449323</td>\n",
       "      <td>5449323</td>\n",
       "      <td>5449323</td>\n",
       "      <td>5449323</td>\n",
       "      <td>5449323</td>\n",
       "      <td>5449323</td>\n",
       "      <td>5449323</td>\n",
       "      <td>5449323</td>\n",
       "      <td>5355558</td>\n",
       "      <td>5449323</td>\n",
       "      <td>132077</td>\n",
       "      <td>261972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>10</td>\n",
       "      <td>818281</td>\n",
       "      <td>8962</td>\n",
       "      <td>2</td>\n",
       "      <td>43080</td>\n",
       "      <td>5056</td>\n",
       "      <td>85153</td>\n",
       "      <td>17724</td>\n",
       "      <td>20979</td>\n",
       "      <td>18</td>\n",
       "      <td>105</td>\n",
       "      <td>123</td>\n",
       "      <td>1</td>\n",
       "      <td>2918</td>\n",
       "      <td>1338</td>\n",
       "      <td>11428</td>\n",
       "      <td>3804</td>\n",
       "      <td>1561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>Aug-22</td>\n",
       "      <td>오하운폴댄스학원</td>\n",
       "      <td>114812</td>\n",
       "      <td>1</td>\n",
       "      <td>48059</td>\n",
       "      <td>서울특별시 금천구 가산동</td>\n",
       "      <td></td>\n",
       "      <td>1154510100</td>\n",
       "      <td>1154551000</td>\n",
       "      <td>41</td>\n",
       "      <td>200</td>\n",
       "      <td>101</td>\n",
       "      <td>1</td>\n",
       "      <td>999999</td>\n",
       "      <td>BIZ_NO미존재사업장</td>\n",
       "      <td>1988-01-01</td>\n",
       "      <td>2022-01-01</td>\n",
       "      <td>2022-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>549857</td>\n",
       "      <td>300</td>\n",
       "      <td>8184</td>\n",
       "      <td>5187340</td>\n",
       "      <td>7724</td>\n",
       "      <td>69846</td>\n",
       "      <td>248812</td>\n",
       "      <td>69846</td>\n",
       "      <td>59273</td>\n",
       "      <td>1441003</td>\n",
       "      <td>279664</td>\n",
       "      <td>411887</td>\n",
       "      <td>5449323</td>\n",
       "      <td>523619</td>\n",
       "      <td>726458</td>\n",
       "      <td>104834</td>\n",
       "      <td>1693</td>\n",
       "      <td>27346</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         자료생성년월      사업장명   사업자등록번호   사업장가입상태코드 1 등록 2 탈퇴     우편번호  \\\n",
       "count   5449323   5449323   5449323               5449323  5449323   \n",
       "unique       10    818281      8962                     2    43080   \n",
       "top      Aug-22  오하운폴댄스학원    114812                     1    48059   \n",
       "freq     549857       300      8184               5187340     7724   \n",
       "\n",
       "            사업장지번상세주소  사업장도로명상세주소   고객법정동주소코드   고객행정동주소코드   법정동주소광역시도코드  \\\n",
       "count         5449323     5449323     5449323     5449323       5449323   \n",
       "unique           5056       85153       17724       20979            18   \n",
       "top     서울특별시 금천구 가산동              1154510100  1154551000            41   \n",
       "freq            69846      248812       69846       59273       1441003   \n",
       "\n",
       "         법정동주소광역시시군구코드   법정동주소광역시시군구읍면동코드   사업장형태구분코드 1 법인 2 개인  사업장업종코드  \\\n",
       "count          5449323            5449323               5449323  5449323   \n",
       "unique             105                123                     1     2918   \n",
       "top                200                101                     1   999999   \n",
       "freq            279664             411887               5449323   523619   \n",
       "\n",
       "            사업장업종코드명        적용일자       재등록일자        탈퇴일자  \n",
       "count        5355558     5449323      132077      261972  \n",
       "unique          1338       11428        3804        1561  \n",
       "top     BIZ_NO미존재사업장  1988-01-01  2022-01-01  2022-01-01  \n",
       "freq          726458      104834        1693       27346  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe(include='O') #범주형 데이터 통계값"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "916c4e71-4294-492d-a998-22646d179f58",
   "metadata": {},
   "source": [
    "### 속성 간의 관계 분석"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0eb22778-a9c6-40e1-8661-3a124da36cb6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5,4))\n",
    "sns.heatmap(df.corr(),annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8fbc502e-de1c-46e0-9835-87e00396db67",
   "metadata": {},
   "source": [
    "## 데이터 전처리"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a4f1ab5c-ddc8-4510-af81-237049f37cf2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['자료생성년월', ' 사업장명', ' 사업자등록번호', ' 사업장가입상태코드 1 등록 2 탈퇴', ' 우편번호',\n",
       "       ' 사업장지번상세주소', ' 사업장도로명상세주소', ' 고객법정동주소코드', ' 고객행정동주소코드', ' 법정동주소광역시도코드',\n",
       "       ' 법정동주소광역시시군구코드', ' 법정동주소광역시시군구읍면동코드', ' 사업장형태구분코드 1 법인 2 개인',\n",
       "       ' 사업장업종코드', ' 사업장업종코드명', ' 적용일자', ' 재등록일자', ' 탈퇴일자', ' 가입자수', ' 당월고지금액',\n",
       "       ' 신규취득자수', ' 상실가입자수'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "049865f7-0946-4bc7-b176-ebcc9eef10be",
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = ['자료생성년월', '사업장명', '사업자번호', '가입상태', '우편번호', '지번주소', '도로명주소', '법정주소코드', \n",
    "           '행정주소코드', '광역시코드', '시군구코드', '읍면동코드', '사업장형태', '업종코드', '업종코드명', \n",
    "           '적용일', '재등록일', '탈퇴일', '가입자수', '고지금액', '신규', '상실'] #컬럼명 변경"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0692e2b2-d9c5-4886-a225-b6ae9ed2f80e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "22"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "98865656-0b9e-48aa-8724-7b2585edad65",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "22"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7cfaa677-1e66-46b7-9097-f9bd67160d97",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.columns = columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "529739bc-bde0-42ef-9e4b-3866e03b06b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop(columns=['우편번호', '지번주소', '법정주소코드', '행정주소코드', '광역시코드', '시군구코드', '읍면동코드', \n",
    "                      '사업장형태', '업종코드', '적용일', '재등록일', '탈퇴일']) #불필요한 컬럼 드랍"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a1cbfcf5-e9af-4e5e-947f-acec824681f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Aug-22     549857\n",
       "2022-07    548441\n",
       "Jan-22     547708\n",
       "Sep-22     546959\n",
       "Oct-22     546812\n",
       "2022-06    545720\n",
       "2022-05    544120\n",
       "2022-02    543183\n",
       "2022-04    542537\n",
       "2022-03    533986\n",
       "Name: 자료생성년월, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['자료생성년월'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "01b547f6-d03e-4309-9069-26d5c7941e0e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['자료생성년월'] = df['자료생성년월'].replace(['Jan-22','2022-02','2022-03','2022-04','2022-05','2022-06','2022-07',\n",
    "                      'Aug-22','Sep-22','Oct-22'],[1,2,3,4,5,6,7,8,9,10]) #자료생성년월 변경"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "05076ded-e743-4710-86a2-6f81336fc05d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.loc[df['가입상태'] != 2] #가입상태가 1인 데이터만 추출\n",
    "df = df.loc[df['고지금액'] != 0] #고지금액이 있는 데이터만 추출(고지금액으로 연봉 추정을 하기 위함)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "5e7b1046-0377-4ff6-80c8-b4204f5c968a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop(columns = '가입상태') #가입상태 컬럼 드랍"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "1d8a3764-1a27-4ec8-89d4-5af4e6fd7013",
   "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>자료생성년월</th>\n",
       "      <th>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>고지금액</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>597</td>\n",
       "      <td>268966860</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>글로웨이 주식회사</td>\n",
       "      <td>110812</td>\n",
       "      <td>서울특별시 강남구 영동대로137길</td>\n",
       "      <td>미장  타일 및 방수 공사업</td>\n",
       "      <td>3</td>\n",
       "      <td>1265560</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>신일기업(주)</td>\n",
       "      <td>201810</td>\n",
       "      <td>서울특별시 중구 퇴계로</td>\n",
       "      <td>기타</td>\n",
       "      <td>18</td>\n",
       "      <td>5879100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>디에스디엘(주)</td>\n",
       "      <td>104811</td>\n",
       "      <td>서울특별시 중구 세종대로</td>\n",
       "      <td>비주거용 건물 임대업(점포  자기땅)</td>\n",
       "      <td>17</td>\n",
       "      <td>4330100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>(주)헤럴드</td>\n",
       "      <td>104810</td>\n",
       "      <td>서울특별시 용산구 후암로4길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>314</td>\n",
       "      <td>119581820</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월       사업장명   사업자번호                도로명주소                 업종코드명  가입자수  \\\n",
       "0       1  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로     포장용 플라스틱 성형용기 제조업   597   \n",
       "1       1  글로웨이 주식회사  110812   서울특별시 강남구 영동대로137길       미장  타일 및 방수 공사업     3   \n",
       "2       1    신일기업(주)  201810         서울특별시 중구 퇴계로                    기타    18   \n",
       "3       1   디에스디엘(주)  104811        서울특별시 중구 세종대로  비주거용 건물 임대업(점포  자기땅)    17   \n",
       "4       1     (주)헤럴드  104810      서울특별시 용산구 후암로4길       잡지 및 정기 간행물 발행업   314   \n",
       "\n",
       "        고지금액  신규  상실  \n",
       "0  268966860   1   6  \n",
       "1    1265560   0   0  \n",
       "2    5879100   0   0  \n",
       "3    4330100   0   0  \n",
       "4  119581820   4   4  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['업종코드명'] = df['업종코드명'].fillna('기타') #업종코드명에 결측치가 존재하는 경우는 '기타'로 대체\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "8b72cd66-6823-4087-91c0-77e50aad6343",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_idx = df.groupby(['사업장명','사업자번호','도로명주소','업종코드명']).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "94d8b640-4857-47b2-8db5-ee231d1a5a9b",
   "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></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>자료생성년월</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>고지금액</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>(One+)용인동천노인복지센터</th>\n",
       "      <th>142826</th>\n",
       "      <th>경기도 용인시 수지구 동천로</th>\n",
       "      <th>기타</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(유)  성우이앤씨/일용/인천공항T2장기주차빌딩A등12동시설공사(PKG1)중 파일공사(A구역)-본공사</th>\n",
       "      <th>401812</th>\n",
       "      <th>인천광역시 중구 제2터미널대로</th>\n",
       "      <th>유리 및 창호 공사업</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(주)  씨엔에이/일용/DHL INCHEON GATEWAY EXPANSION AT INCHEON INTERNATIONAL AIRPORT 수장공사</th>\n",
       "      <th>411814</th>\n",
       "      <th>인천광역시 중구 공항동로295번길</th>\n",
       "      <th>도배  실내 장식 및 내장 목공사업</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(주) 씨엔에이/상용/DHL INCHEON GATEWAY EXPANSION AT INCHEON INTERNATIONAL AIRPORT 수장공사</th>\n",
       "      <th>411814</th>\n",
       "      <th>인천광역시 중구 공항동로295번길</th>\n",
       "      <th>도배  실내 장식 및 내장 목공사업</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(주)지티지웰니스</th>\n",
       "      <th>229813</th>\n",
       "      <th>경기도 용인시 수지구 신수로</th>\n",
       "      <th>의료 기기 도매업</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                  자료생성년월  \\\n",
       "사업장명                                               사업자번호  도로명주소              업종코드명                         \n",
       "   (One+)용인동천노인복지센터                                142826 경기도 용인시 수지구 동천로    기타                       10   \n",
       "  (유)  성우이앤씨/일용/인천공항T2장기주차빌딩A등12동시설공사(PKG1)중 파일... 401812 인천광역시 중구 제2터미널대로   유리 및 창호 공사업               1   \n",
       "  (주)  씨엔에이/일용/DHL INCHEON GATEWAY EXPANSION AT... 411814 인천광역시 중구 공항동로295번길 도배  실내 장식 및 내장 목공사업       2   \n",
       "  (주) 씨엔에이/상용/DHL INCHEON GATEWAY EXPANSION AT ... 411814 인천광역시 중구 공항동로295번길 도배  실내 장식 및 내장 목공사업       3   \n",
       "  (주)지티지웰니스                                        229813 경기도 용인시 수지구 신수로    의료 기기 도매업                10   \n",
       "\n",
       "                                                                                                  가입자수  \\\n",
       "사업장명                                               사업자번호  도로명주소              업종코드명                       \n",
       "   (One+)용인동천노인복지센터                                142826 경기도 용인시 수지구 동천로    기타                     10   \n",
       "  (유)  성우이앤씨/일용/인천공항T2장기주차빌딩A등12동시설공사(PKG1)중 파일... 401812 인천광역시 중구 제2터미널대로   유리 및 창호 공사업             1   \n",
       "  (주)  씨엔에이/일용/DHL INCHEON GATEWAY EXPANSION AT... 411814 인천광역시 중구 공항동로295번길 도배  실내 장식 및 내장 목공사업     2   \n",
       "  (주) 씨엔에이/상용/DHL INCHEON GATEWAY EXPANSION AT ... 411814 인천광역시 중구 공항동로295번길 도배  실내 장식 및 내장 목공사업     3   \n",
       "  (주)지티지웰니스                                        229813 경기도 용인시 수지구 신수로    의료 기기 도매업              10   \n",
       "\n",
       "                                                                                                  고지금액  \\\n",
       "사업장명                                               사업자번호  도로명주소              업종코드명                       \n",
       "   (One+)용인동천노인복지센터                                142826 경기도 용인시 수지구 동천로    기타                     10   \n",
       "  (유)  성우이앤씨/일용/인천공항T2장기주차빌딩A등12동시설공사(PKG1)중 파일... 401812 인천광역시 중구 제2터미널대로   유리 및 창호 공사업             1   \n",
       "  (주)  씨엔에이/일용/DHL INCHEON GATEWAY EXPANSION AT... 411814 인천광역시 중구 공항동로295번길 도배  실내 장식 및 내장 목공사업     2   \n",
       "  (주) 씨엔에이/상용/DHL INCHEON GATEWAY EXPANSION AT ... 411814 인천광역시 중구 공항동로295번길 도배  실내 장식 및 내장 목공사업     3   \n",
       "  (주)지티지웰니스                                        229813 경기도 용인시 수지구 신수로    의료 기기 도매업              10   \n",
       "\n",
       "                                                                                                  신규  \\\n",
       "사업장명                                               사업자번호  도로명주소              업종코드명                     \n",
       "   (One+)용인동천노인복지센터                                142826 경기도 용인시 수지구 동천로    기타                   10   \n",
       "  (유)  성우이앤씨/일용/인천공항T2장기주차빌딩A등12동시설공사(PKG1)중 파일... 401812 인천광역시 중구 제2터미널대로   유리 및 창호 공사업           1   \n",
       "  (주)  씨엔에이/일용/DHL INCHEON GATEWAY EXPANSION AT... 411814 인천광역시 중구 공항동로295번길 도배  실내 장식 및 내장 목공사업   2   \n",
       "  (주) 씨엔에이/상용/DHL INCHEON GATEWAY EXPANSION AT ... 411814 인천광역시 중구 공항동로295번길 도배  실내 장식 및 내장 목공사업   3   \n",
       "  (주)지티지웰니스                                        229813 경기도 용인시 수지구 신수로    의료 기기 도매업            10   \n",
       "\n",
       "                                                                                                  상실  \n",
       "사업장명                                               사업자번호  도로명주소              업종코드명                    \n",
       "   (One+)용인동천노인복지센터                                142826 경기도 용인시 수지구 동천로    기타                   10  \n",
       "  (유)  성우이앤씨/일용/인천공항T2장기주차빌딩A등12동시설공사(PKG1)중 파일... 401812 인천광역시 중구 제2터미널대로   유리 및 창호 공사업           1  \n",
       "  (주)  씨엔에이/일용/DHL INCHEON GATEWAY EXPANSION AT... 411814 인천광역시 중구 공항동로295번길 도배  실내 장식 및 내장 목공사업   2  \n",
       "  (주) 씨엔에이/상용/DHL INCHEON GATEWAY EXPANSION AT ... 411814 인천광역시 중구 공항동로295번길 도배  실내 장식 및 내장 목공사업   3  \n",
       "  (주)지티지웰니스                                        229813 경기도 용인시 수지구 신수로    의료 기기 도매업            10  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_idx.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "a5124d4e-718e-462a-a5a7-519e79e5b65b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_idx = df_idx.loc[df_idx.자료생성년월 == 10,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1ec287ea-4c8e-47a8-9cc7-098d0944b144",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_idx = df_idx.reset_index().iloc[:,:4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "f8608a42-ab46-4784-808c-38928fe3143f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.merge(df, df_idx, how = \"inner\", on = ['사업장명','사업자번호','도로명주소','업종코드명'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "eb169eef-573e-4723-acc2-006013d58e20",
   "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>자료생성년월</th>\n",
       "      <th>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>고지금액</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>597</td>\n",
       "      <td>268966860</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>593</td>\n",
       "      <td>267215940</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>590</td>\n",
       "      <td>265736600</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>588</td>\n",
       "      <td>264774020</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>584</td>\n",
       "      <td>262790600</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월       사업장명   사업자번호                도로명주소              업종코드명  가입자수  \\\n",
       "0       1  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   597   \n",
       "1       2  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   593   \n",
       "2       3  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   590   \n",
       "3       4  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   588   \n",
       "4       5  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   584   \n",
       "\n",
       "        고지금액  신규  상실  \n",
       "0  268966860   1   6  \n",
       "1  267215940   2   8  \n",
       "2  265736600   5   7  \n",
       "3  264774020   5   6  \n",
       "4  262790600   2   4  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b9c9ea9-b7d5-4478-9f56-c7efffcfc194",
   "metadata": {},
   "source": [
    "## 월급, 연봉 추정"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e6f4df4-f425-4885-beef-3610ae7557aa",
   "metadata": {
    "tags": []
   },
   "source": [
    "## <국민연금 정보로 연봉정보를 계산하는 방법>\n",
    "######\n",
    "##### 국민연금 보험률: 9%. 즉, 급여(신고소득월액)의 9%를 국민연금으로 내는 것을 의미\n",
    "##### 이를 절반으로 나누어 4.5%는 회사가, 나머지 절반은 개인이 부담하는 구조(회사는 급여 외에 추가로 금액을 부담)\n",
    "######\n",
    "##### 국민연금 보험료는 소득 상한선과 하한선이 설정되어 있어 소득 전체가 아닌 일부 소득에만 부과\n",
    "##### 이를 역산하면 신고소득월액의 계산이 가능(상한선과 하한선이 설정되어 있어 실제보다 과소계산될 수 있음)\n",
    "######\n",
    "##### [수식]\n",
    "##### 임직원 평균 월급 = 인당고지금액 / 9% * 100%\n",
    "##### 임직원 평균 연봉 = 임직원 평균 월급 * 12개월"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "4c8d9b53-9247-407e-9f82-ba3d0940d002",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   450530.75\n",
       "1   450617.10\n",
       "2   450401.02\n",
       "3   450295.95\n",
       "4   449983.90\n",
       "Name: 인당고지금액, dtype: float64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['인당고지금액'] = df['고지금액'] / df['가입자수']\n",
    "df['인당고지금액'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "0fa885e2-f914-4bc2-af44-f4601a7ec027",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['평균월급'] = df['인당고지금액'] / 9 * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "8a3d0db9-dae9-414e-88da-6b48557db2a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['평균연봉'] = df['평균월급'] * 12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a65dae1b-13f1-437e-b007-c45416ce2bf3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['평균월급'] = round(df['평균월급'] / 10000)\n",
    "df['평균연봉'] = round(df['평균연봉'] / 10000)\n",
    "df[\"평균월급\"] = df[\"평균월급\"].astype(int)\n",
    "df[\"평균연봉\"] = df[\"평균연봉\"].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "15c620de-0773-42b0-b28e-f8f0980b293f",
   "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>자료생성년월</th>\n",
       "      <th>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>고지금액</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "      <th>인당고지금액</th>\n",
       "      <th>평균월급</th>\n",
       "      <th>평균연봉</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>597</td>\n",
       "      <td>268966860</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>450530.75</td>\n",
       "      <td>501</td>\n",
       "      <td>6007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>593</td>\n",
       "      <td>267215940</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>450617.10</td>\n",
       "      <td>501</td>\n",
       "      <td>6008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>590</td>\n",
       "      <td>265736600</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>450401.02</td>\n",
       "      <td>500</td>\n",
       "      <td>6005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>588</td>\n",
       "      <td>264774020</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>450295.95</td>\n",
       "      <td>500</td>\n",
       "      <td>6004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>584</td>\n",
       "      <td>262790600</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>449983.90</td>\n",
       "      <td>500</td>\n",
       "      <td>6000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월       사업장명   사업자번호                도로명주소              업종코드명  가입자수  \\\n",
       "0       1  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   597   \n",
       "1       2  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   593   \n",
       "2       3  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   590   \n",
       "3       4  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   588   \n",
       "4       5  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   584   \n",
       "\n",
       "        고지금액  신규  상실    인당고지금액  평균월급  평균연봉  \n",
       "0  268966860   1   6 450530.75   501  6007  \n",
       "1  267215940   2   8 450617.10   501  6008  \n",
       "2  265736600   5   7 450401.02   500  6005  \n",
       "3  264774020   5   6 450295.95   500  6004  \n",
       "4  262790600   2   4 449983.90   500  6000  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "cdea3674-3d9d-4eb9-be6d-6a4d06730e27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5, 3))\n",
    "sns.distplot(df.loc[df['평균월급'].notnull(), '평균월급'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "29fc0117-0aa0-4b53-b4e1-ed1171e12aab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5, 3))\n",
    "sns.distplot(df.loc[df['평균연봉'].notnull(), '평균연봉'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e4985bd-6dab-4564-bb36-f70b573b79ae",
   "metadata": {},
   "source": [
    "## validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b770c48b-6156-44e6-b15a-213638f548da",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.metrics import accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "d7f50f15-2871-4f3a-8715-47980fc5bf64",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier,BaggingClassifier,AdaBoostClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "49f7be30-2442-4895-b22e-6e596f11c2d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3545860, 12)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test = df\n",
    "test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "335ac0e0-a16f-4cfa-8265-5c382cd21929",
   "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>자료생성년월</th>\n",
       "      <th>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>고지금액</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "      <th>인당고지금액</th>\n",
       "      <th>평균월급</th>\n",
       "      <th>평균연봉</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>597</td>\n",
       "      <td>268966860</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>450530.75</td>\n",
       "      <td>501</td>\n",
       "      <td>6007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>593</td>\n",
       "      <td>267215940</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>450617.10</td>\n",
       "      <td>501</td>\n",
       "      <td>6008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>590</td>\n",
       "      <td>265736600</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>450401.02</td>\n",
       "      <td>500</td>\n",
       "      <td>6005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>588</td>\n",
       "      <td>264774020</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>450295.95</td>\n",
       "      <td>500</td>\n",
       "      <td>6004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>584</td>\n",
       "      <td>262790600</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>449983.90</td>\n",
       "      <td>500</td>\n",
       "      <td>6000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월       사업장명   사업자번호                도로명주소              업종코드명  가입자수  \\\n",
       "0       1  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   597   \n",
       "1       2  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   593   \n",
       "2       3  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   590   \n",
       "3       4  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   588   \n",
       "4       5  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   584   \n",
       "\n",
       "        고지금액  신규  상실    인당고지금액  평균월급  평균연봉  \n",
       "0  268966860   1   6 450530.75   501  6007  \n",
       "1  267215940   2   8 450617.10   501  6008  \n",
       "2  265736600   5   7 450401.02   500  6005  \n",
       "3  264774020   5   6 450295.95   500  6004  \n",
       "4  262790600   2   4 449983.90   500  6000  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "1aafd985-9faf-47dc-a28a-48c10b6c87ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = test.drop(labels=['사업장명','도로명주소','업종코드명','고지금액','신규','상실','인당고지금액','평균월급'], axis = 1)\n",
    "y = test.drop(labels=['사업장명','도로명주소','업종코드명','가입자수','고지금액','인당고지금액','평균월급','평균연봉'], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "0dc6573b-c005-4167-ad51-2fdb53c50f88",
   "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>자료생성년월</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>평균연봉</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>211814</td>\n",
       "      <td>597</td>\n",
       "      <td>6007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>211814</td>\n",
       "      <td>593</td>\n",
       "      <td>6008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>211814</td>\n",
       "      <td>590</td>\n",
       "      <td>6005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>211814</td>\n",
       "      <td>588</td>\n",
       "      <td>6004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>211814</td>\n",
       "      <td>584</td>\n",
       "      <td>6000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월   사업자번호  가입자수  평균연봉\n",
       "0       1  211814   597  6007\n",
       "1       2  211814   593  6008\n",
       "2       3  211814   590  6005\n",
       "3       4  211814   588  6004\n",
       "4       5  211814   584  6000"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "34242d8e-71c5-4a36-bdda-ddcaff0f1af8",
   "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>자료생성년월</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>211814</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>211814</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>211814</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>211814</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>211814</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월   사업자번호  신규  상실\n",
       "0       1  211814   1   6\n",
       "1       2  211814   2   8\n",
       "2       3  211814   5   7\n",
       "3       4  211814   5   6\n",
       "4       5  211814   2   4"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "f12afda8-5aef-47cf-85a0-8b3546791f8e",
   "metadata": {
    "tags": []
   },
   "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>자료생성년월</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>평균연봉</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>211814</td>\n",
       "      <td>597</td>\n",
       "      <td>6007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>211814</td>\n",
       "      <td>593</td>\n",
       "      <td>6008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>211814</td>\n",
       "      <td>590</td>\n",
       "      <td>6005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>211814</td>\n",
       "      <td>588</td>\n",
       "      <td>6004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>211814</td>\n",
       "      <td>584</td>\n",
       "      <td>6000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월   사업자번호  가입자수  평균연봉\n",
       "0       1  211814   597  6007\n",
       "1       2  211814   593  6008\n",
       "2       3  211814   590  6005\n",
       "3       4  211814   588  6004\n",
       "4       5  211814   584  6000"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = X.loc[X['자료생성년월'] <= 8]\n",
    "a.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "b955506b-c75d-4767-a466-19bd90e9566e",
   "metadata": {
    "tags": []
   },
   "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>자료생성년월</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>211814</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>211814</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>211814</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>211814</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>211814</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월   사업자번호  신규  상실\n",
       "0       1  211814   1   6\n",
       "1       2  211814   2   8\n",
       "2       3  211814   5   7\n",
       "3       4  211814   5   6\n",
       "4       5  211814   2   4"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b = y.loc[y['자료생성년월'] <= 8]\n",
    "b.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "e486c853-4f27-4cdb-9c95-deab2e7324ea",
   "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>자료생성년월</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>평균연봉</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>211814</td>\n",
       "      <td>580</td>\n",
       "      <td>6376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>9</td>\n",
       "      <td>201810</td>\n",
       "      <td>19</td>\n",
       "      <td>4423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>9</td>\n",
       "      <td>104810</td>\n",
       "      <td>312</td>\n",
       "      <td>5354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>9</td>\n",
       "      <td>102812</td>\n",
       "      <td>853</td>\n",
       "      <td>6232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>9</td>\n",
       "      <td>202814</td>\n",
       "      <td>42</td>\n",
       "      <td>4909</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    자료생성년월   사업자번호  가입자수  평균연봉\n",
       "8        9  211814   580  6376\n",
       "18       9  201810    19  4423\n",
       "28       9  104810   312  5354\n",
       "38       9  102812   853  6232\n",
       "48       9  202814    42  4909"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = X.loc[X['자료생성년월'] == 9]\n",
    "c.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "632e5157-5ce7-412b-a4ad-cecb9f1e5cf8",
   "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>자료생성년월</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>211814</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>9</td>\n",
       "      <td>201810</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>9</td>\n",
       "      <td>104810</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>9</td>\n",
       "      <td>102812</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>9</td>\n",
       "      <td>202814</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    자료생성년월   사업자번호  신규  상실\n",
       "8        9  211814   2   2\n",
       "18       9  201810   0   0\n",
       "28       9  104810   6   0\n",
       "38       9  102812   8   8\n",
       "48       9  202814   1   2"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d = y.loc[y['자료생성년월'] == 9]\n",
    "d.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "f7cf00b4-c46e-4d32-ab4d-4f452a37435d",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = a #1~8월\n",
    "y_train = b #1~8월 입사자, 퇴사자 수\n",
    "X_valid = c #9월 \n",
    "y_valid = d #9월 입사자, 퇴사자 수"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "332cfcc6-d8ac-421c-a61b-a7aea0363a51",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_dt = DecisionTreeClassifier()\n",
    "model_rf = RandomForestClassifier()\n",
    "model_bc = BaggingClassifier()\n",
    "model_ada = AdaBoostClassifier()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "39987e1e-f0f3-4226-ba37-35c1d77cabad",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 가입자수와 평균연봉에 따른 신규, 상실자 수 예측\n",
    "X_train['가입자수'] = X_train['가입자수'].astype('uint32')\n",
    "X_train['평균연봉'] = X_train['평균연봉'].astype('uint32')\n",
    "y_train['신규'] = y_train['신규'].astype('uint16')\n",
    "y_train['상실'] = y_train['상실'].astype('uint16')\n",
    "X_valid['가입자수'] = X_valid['가입자수'].astype('uint32')\n",
    "X_valid['평균연봉'] = X_valid['평균연봉'].astype('uint32')\n",
    "y_valid['신규'] = y_valid['신규'].astype('uint16')\n",
    "y_valid['상실'] = y_valid['상실'].astype('uint16')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "e537033a-2f8b-4bd4-a77f-4af0b6487f49",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "자료생성년월 1 8\n",
      "사업자번호 101800 910840\n",
      "신규 0 2083\n",
      "상실 0 1922\n"
     ]
    }
   ],
   "source": [
    "for column in y_train.columns:\n",
    "    print(column, y_train[column].min(),y_train[column].max())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "16f3cfa5-cf6b-4063-868d-3e7860893f8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = X_train[{'가입자수','평균연봉'}]\n",
    "X_valid = X_valid[{'가입자수','평균연봉'}]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "8cf1c435-13fc-4916-ac51-20736ce01613",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2836688, 2)"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "ba60ecaf-b853-4d8f-bacb-b13bce200b27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2836688, 4)"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "70e15dd7-3a13-49e7-83d8-c034a654115f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13.9 s ± 1.05 s per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "model_dt.fit(X_train,y_train.신규)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "88804e32-2b76-4777-9e9b-b6410540c1a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "pred = model_dt.predict(X_valid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "da1dd5ec-43ef-4860-af59-7b23c8d3edbe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 1,  0,  9, ..., 10,  0,  0], dtype=uint16)"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "4b9a3998-fec7-4b3f-9a31-9c81d08fb438",
   "metadata": {},
   "outputs": [],
   "source": [
    "id_1 = c.사업자번호"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "bbfdffee-dd91-484c-92c2-568563b1d662",
   "metadata": {},
   "outputs": [],
   "source": [
    "result = pd.DataFrame(id_1)\n",
    "result['신규'] = pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "294c8368-bdfd-449b-94b8-d970f4dd55cf",
   "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>사업자번호</th>\n",
       "      <th>신규</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>211814</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>201810</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>104810</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>102812</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>202814</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545818</th>\n",
       "      <td>224813</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545828</th>\n",
       "      <td>120810</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545838</th>\n",
       "      <td>130810</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545848</th>\n",
       "      <td>217811</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545858</th>\n",
       "      <td>512820</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>354586 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          사업자번호  신규\n",
       "8        211814   1\n",
       "18       201810   0\n",
       "28       104810   9\n",
       "38       102812   1\n",
       "48       202814   0\n",
       "...         ...  ..\n",
       "3545818  224813   0\n",
       "3545828  120810   0\n",
       "3545838  130810  10\n",
       "3545848  217811   0\n",
       "3545858  512820   0\n",
       "\n",
       "[354586 rows x 2 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#9월 신입 validation\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "afa0f2e5-fd70-4f3a-87a8-256fa3bac52f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7361655564517494"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_valid.신규,pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "a3b6b21e-7348-4152-8991-49fdb2cfe1b7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11.6 s ± 287 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "model_dt.fit(X_train,y_train.상실)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "e5e0feaf-26f5-4ea6-8d85-e12d881acd34",
   "metadata": {},
   "outputs": [],
   "source": [
    "pred2 = model_dt.predict(X_valid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "2d2911da-e5b4-4467-a281-59f85641f332",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 1,  0,  0, ..., 21,  0,  0], dtype=uint16)"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "4e0a57ed-4b9e-4a2d-83c5-a3d938f8ca11",
   "metadata": {},
   "outputs": [],
   "source": [
    "result['상실'] = pred2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "8b7a7419-1199-40ec-a2f0-5c6d23271594",
   "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>사업자번호</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>211814</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>201810</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>104810</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>102812</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>202814</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545818</th>\n",
       "      <td>224813</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545828</th>\n",
       "      <td>120810</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545838</th>\n",
       "      <td>130810</td>\n",
       "      <td>10</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545848</th>\n",
       "      <td>217811</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545858</th>\n",
       "      <td>512820</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>354586 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          사업자번호  신규  상실\n",
       "8        211814   1   1\n",
       "18       201810   0   0\n",
       "28       104810   9   0\n",
       "38       102812   1  10\n",
       "48       202814   0   0\n",
       "...         ...  ..  ..\n",
       "3545818  224813   0   0\n",
       "3545828  120810   0   0\n",
       "3545838  130810  10  21\n",
       "3545848  217811   0   0\n",
       "3545858  512820   0   0\n",
       "\n",
       "[354586 rows x 3 columns]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#9월 상실 validation\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "5ede26fb-161b-49d3-b845-ebb79020dd06",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7388362766719498"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_valid.상실,pred2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "878c204f-8507-4edf-968f-a7b41537b14b",
   "metadata": {},
   "source": [
    "## test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "c9855d2c-577a-419b-ae9d-09fb64b0eada",
   "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>자료생성년월</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>평균연봉</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>211814</td>\n",
       "      <td>597</td>\n",
       "      <td>6007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>211814</td>\n",
       "      <td>593</td>\n",
       "      <td>6008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>211814</td>\n",
       "      <td>590</td>\n",
       "      <td>6005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>211814</td>\n",
       "      <td>588</td>\n",
       "      <td>6004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>211814</td>\n",
       "      <td>584</td>\n",
       "      <td>6000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월   사업자번호  가입자수  평균연봉\n",
       "0       1  211814   597  6007\n",
       "1       2  211814   593  6008\n",
       "2       3  211814   590  6005\n",
       "3       4  211814   588  6004\n",
       "4       5  211814   584  6000"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q = X.loc[X['자료생성년월'] != 10]\n",
    "q.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "64f78258-80ea-46c7-8968-ef12f906920f",
   "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>자료생성년월</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>211814</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>211814</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>211814</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>211814</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>211814</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월   사업자번호  신규  상실\n",
       "0       1  211814   1   6\n",
       "1       2  211814   2   8\n",
       "2       3  211814   5   7\n",
       "3       4  211814   5   6\n",
       "4       5  211814   2   4"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "w = y.loc[y['자료생성년월'] != 10]\n",
    "w.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "11c8bf1d-687e-44ed-9fc9-447928195a8a",
   "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>자료생성년월</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>평균연봉</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>211814</td>\n",
       "      <td>585</td>\n",
       "      <td>6375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>10</td>\n",
       "      <td>201810</td>\n",
       "      <td>19</td>\n",
       "      <td>4505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>10</td>\n",
       "      <td>104810</td>\n",
       "      <td>314</td>\n",
       "      <td>5334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>10</td>\n",
       "      <td>102812</td>\n",
       "      <td>846</td>\n",
       "      <td>6233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>10</td>\n",
       "      <td>202814</td>\n",
       "      <td>40</td>\n",
       "      <td>4898</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    자료생성년월   사업자번호  가입자수  평균연봉\n",
       "9       10  211814   585  6375\n",
       "19      10  201810    19  4505\n",
       "29      10  104810   314  5334\n",
       "39      10  102812   846  6233\n",
       "49      10  202814    40  4898"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "e = X.loc[X['자료생성년월'] == 10]\n",
    "e.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "fe68029b-e831-4f50-8f79-38d11e4b494e",
   "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>자료생성년월</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>211814</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>10</td>\n",
       "      <td>201810</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>10</td>\n",
       "      <td>104810</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>10</td>\n",
       "      <td>102812</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>10</td>\n",
       "      <td>202814</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    자료생성년월   사업자번호  신규  상실\n",
       "9       10  211814   7   2\n",
       "19      10  201810   0   0\n",
       "29      10  104810   2   5\n",
       "39      10  102812   1   6\n",
       "49      10  202814   0   1"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r = y.loc[y['자료생성년월'] == 10]\n",
    "r.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "39075e61-d3ab-458a-8a17-34c9ec3e4abc",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = q\n",
    "y_train = w\n",
    "X_test = e\n",
    "y_test = r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "5aa2049e-99a0-4708-93ef-d51770e2edb2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 가입자수와 평균연봉에 따른 신규, 상실자 수 예측\n",
    "X_train['가입자수'] = X_train['가입자수'].astype('uint32')\n",
    "X_train['평균연봉'] = X_train['평균연봉'].astype('uint32')\n",
    "y_train['신규'] = y_train['신규'].astype('uint16')\n",
    "y_train['상실'] = y_train['상실'].astype('uint16')\n",
    "X_test['가입자수'] = X_test['가입자수'].astype('uint32')\n",
    "X_test['평균연봉'] = X_test['평균연봉'].astype('uint32')\n",
    "y_test['신규'] = y_test['신규'].astype('uint16')\n",
    "y_test['상실'] = y_test['상실'].astype('uint16')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "6785af80-af41-45d8-940a-455928d74630",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = X_train[{'가입자수','평균연봉'}]\n",
    "X_test = X_test[{'가입자수','평균연봉'}]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "f98fe57b-bc57-4d05-a408-42a44c91304e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3191274, 2)"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "44e134b4-2d5d-4d8b-8cd5-aa475ae4a329",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3191274, 4)"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "e2d5d624-b2d3-43e4-a9a4-9b3e813d181c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14.3 s ± 461 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "model_dt.fit(X_train,y_train.신규)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "fc579cea-f781-4272-8d23-189893724a00",
   "metadata": {},
   "outputs": [],
   "source": [
    "pred3 = model_dt.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "de87feb2-f1ec-455e-a15f-0f876aa4d546",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([11,  1,  0, ...,  4,  0,  0], dtype=uint16)"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "94761b0f-8def-4bdb-9d3c-c801d8c79c3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "id_2 = e.사업자번호"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "77830e42-5919-4b23-a39a-9c6a921126bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "result2 = pd.DataFrame(id_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "de26dfae-3a9a-484a-889b-8022ac68d0dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "result2['11월 입사자 수'] = pred3\n",
    "result2 = result2.drop(columns = '사업자번호')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "33dc41da-8a71-4d9d-bc9d-fa1671131143",
   "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>11월 입사자 수</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545819</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545829</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545839</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545849</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545859</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>354586 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         11월 입사자 수\n",
       "9               11\n",
       "19               1\n",
       "29               0\n",
       "39               8\n",
       "49               1\n",
       "...            ...\n",
       "3545819          0\n",
       "3545829          1\n",
       "3545839          4\n",
       "3545849          0\n",
       "3545859          0\n",
       "\n",
       "[354586 rows x 1 columns]"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "a349595a-7add-46f4-9b86-6977aa4a952c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7577766747700134"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test.신규,pred3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "067b1735-3c77-4831-9b6f-c9bd29038660",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13 s ± 121 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "model_dt.fit(X_train,y_train.상실)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "26badedc-1f91-44eb-874b-d04387c26c5e",
   "metadata": {},
   "outputs": [],
   "source": [
    "pred4 = model_dt.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "6dbf27a9-3b09-4aa1-a728-3e150c9f5415",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0, 5, ..., 2, 0, 0], dtype=uint16)"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "7b0815e5-1512-4d9f-a996-bf208457a2a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "result2['11월 퇴사자 수'] = pred4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "a82f6b7e-474c-43eb-b254-5d43f9ee863d",
   "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>11월 입사자 수</th>\n",
       "      <th>11월 퇴사자 수</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545819</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545829</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545839</th>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545849</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545859</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>354586 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         11월 입사자 수  11월 퇴사자 수\n",
       "9               11          1\n",
       "19               1          0\n",
       "29               0          5\n",
       "39               8          7\n",
       "49               1          0\n",
       "...            ...        ...\n",
       "3545819          0          0\n",
       "3545829          1          0\n",
       "3545839          4          2\n",
       "3545849          0          0\n",
       "3545859          0          0\n",
       "\n",
       "[354586 rows x 2 columns]"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "676e9ac3-084b-4179-a134-e02c2bd5405f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7322088294518114"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test.상실,pred4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72e43be8-39b0-426c-9e19-9aceb255f03f",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true,
    "tags": []
   },
   "source": [
    "## 모델 평가"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "id": "d3384539-d0be-4fd1-bdd4-b08ef8df968e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import accuracy_score, precision_score, recall_score, confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "id": "e170d8e2-8543-45df-a9c9-1af85990f8a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_clf_eval(y_test, pred2):\n",
    "    confusion = confusion_matrix(y_test, pred2)\n",
    "    accuracy = accuracy_score(y_test, pred2)\n",
    "    precision = precision_score(y_test, pred2)\n",
    "    recall = recall_score(y_test, pred2)\n",
    "    print('오차 행렬')\n",
    "    print(confusion)\n",
    "    print('정확도: {0:.4f}, 정밀도: {1:.4f}, 재현율: {2:.4f}'.format(accuracy, precision, recall))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "id": "68a4d1e1-8170-4e88-8673-9ace3ef82893",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LogisticRegression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f10448ce-9ef7-4e44-972d-97966d3bed6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "lr_clf = LogisticRegression()\n",
    "lr_clf.fit(X_train, y_train.상실)\n",
    "pred = lr_clf.predict(X_test)\n",
    "get_clf_eval(y_test.상실, pred2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aa3cb394-0423-4ea9-a931-52c74d0a0872",
   "metadata": {},
   "outputs": [],
   "source": [
    "정밀도와 재현율의 시각화\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as ticker\n",
    "%matplotlib inline\n",
    "\n",
    "def precision_recall_curve_plot(y_test, pred_proba_c1):\n",
    "    #threshold ndarray와 이 threshold에 따른 정밀도, 재현율 ndarray 추출\n",
    "    precisions, recalls, thresholds = precision_recall_curve(y_test, pred_proba_c1)\n",
    "    \n",
    "    #X축을 thresholds, y축 정밀도, 재현율 값으로 각각 plot 수행, 정밀도는 점선으로 표시\n",
    "    plt.figure(figsize=(8,6))\n",
    "    threshold_boundary = thresholds.shape[0]\n",
    "    plt.plot(thresholds, precisions[0:threshold_boundary], linestyle='-', label='precision')\n",
    "    plt.plot(thresholds, recalls[0:threshold_boundary], label='recall')\n",
    "    \n",
    "    #threshold 값 X축의 Scale을 0.1 단위로 변경\n",
    "    start, end = plt.xlim()\n",
    "    plt.xticks(np.round(np.arange(start, end, 0.1), 2))\n",
    "    \n",
    "    #x축, y축 label과 legend, 그리고 grid 설정\n",
    "    plt.xlabel('Threshold value');plt.ylabel('Precision and Recall value')\n",
    "    plt.legend();plt.grid()\n",
    "    plt.show()\n",
    "    \n",
    "precision_recall_curve_plot(y_test, lr_clf.predict_proba(X_test)[:,1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4cb6ea6-058a-4d75-9512-870962729eaf",
   "metadata": {},
   "source": [
    "## 고유 key 생성"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "dbd5c133-ea3a-439d-ba8b-c1044b59c940",
   "metadata": {},
   "outputs": [],
   "source": [
    "temp_data = df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "7ed11d3f-fc94-411d-b4bf-a13d25371bbd",
   "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>자료생성년월</th>\n",
       "      <th>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>고지금액</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "      <th>인당고지금액</th>\n",
       "      <th>평균월급</th>\n",
       "      <th>평균연봉</th>\n",
       "      <th>key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>597</td>\n",
       "      <td>268966860</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>450530.75</td>\n",
       "      <td>501</td>\n",
       "      <td>6007</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>593</td>\n",
       "      <td>267215940</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>450617.10</td>\n",
       "      <td>501</td>\n",
       "      <td>6008</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>590</td>\n",
       "      <td>265736600</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>450401.02</td>\n",
       "      <td>500</td>\n",
       "      <td>6005</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>588</td>\n",
       "      <td>264774020</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>450295.95</td>\n",
       "      <td>500</td>\n",
       "      <td>6004</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>584</td>\n",
       "      <td>262790600</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>449983.90</td>\n",
       "      <td>500</td>\n",
       "      <td>6000</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월       사업장명   사업자번호                도로명주소              업종코드명  가입자수  \\\n",
       "0       1  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   597   \n",
       "1       2  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   593   \n",
       "2       3  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   590   \n",
       "3       4  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   588   \n",
       "4       5  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   584   \n",
       "\n",
       "        고지금액  신규  상실    인당고지금액  평균월급  평균연봉  \\\n",
       "0  268966860   1   6 450530.75   501  6007   \n",
       "1  267215940   2   8 450617.10   501  6008   \n",
       "2  265736600   5   7 450401.02   500  6005   \n",
       "3  264774020   5   6 450295.95   500  6004   \n",
       "4  262790600   2   4 449983.90   500  6000   \n",
       "\n",
       "                                                 key  \n",
       "0  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  \n",
       "1  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  \n",
       "2  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  \n",
       "3  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  \n",
       "4  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  "
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols = ['사업장명', '사업자번호', '도로명주소','업종코드명']\n",
    "temp_data['key'] = temp_data[cols].apply(lambda row: ' '.join(row.values.astype(str)), axis=1)\n",
    "temp_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "fa40f733-d4df-4c11-ae59-d1fc3c6a62fd",
   "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>사업자번호</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>key</th>\n",
       "      <th>사업장명</th>\n",
       "      <th>도로명주소</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>211814</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>201810</td>\n",
       "      <td>기타</td>\n",
       "      <td>신일기업(주) 201810 서울특별시 중구 퇴계로 기타</td>\n",
       "      <td>신일기업(주)</td>\n",
       "      <td>서울특별시 중구 퇴계로</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>104810</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>(주)헤럴드 104810 서울특별시 용산구 후암로4길 잡지 및 정기 간행물 발행업</td>\n",
       "      <td>(주)헤럴드</td>\n",
       "      <td>서울특별시 용산구 후암로4길</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>102812</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>연합뉴스(주) 102812 서울특별시 종로구 율곡로2길 잡지 및 정기 간행물 발행업</td>\n",
       "      <td>연합뉴스(주)</td>\n",
       "      <td>서울특별시 종로구 율곡로2길</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>202814</td>\n",
       "      <td>내륙 수상 여객 및 화물 운송업</td>\n",
       "      <td>협성해운(주) 202814 서울특별시 중구 을지로 내륙 수상 여객 및 화물 운송업</td>\n",
       "      <td>협성해운(주)</td>\n",
       "      <td>서울특별시 중구 을지로</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     사업자번호              업종코드명  \\\n",
       "9   211814  포장용 플라스틱 성형용기 제조업   \n",
       "19  201810                 기타   \n",
       "29  104810    잡지 및 정기 간행물 발행업   \n",
       "39  102812    잡지 및 정기 간행물 발행업   \n",
       "49  202814  내륙 수상 여객 및 화물 운송업   \n",
       "\n",
       "                                                  key       사업장명  \\\n",
       "9   (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  (주)니프코코리아   \n",
       "19                     신일기업(주) 201810 서울특별시 중구 퇴계로 기타    신일기업(주)   \n",
       "29      (주)헤럴드 104810 서울특별시 용산구 후암로4길 잡지 및 정기 간행물 발행업     (주)헤럴드   \n",
       "39     연합뉴스(주) 102812 서울특별시 종로구 율곡로2길 잡지 및 정기 간행물 발행업    연합뉴스(주)   \n",
       "49      협성해운(주) 202814 서울특별시 중구 을지로 내륙 수상 여객 및 화물 운송업    협성해운(주)   \n",
       "\n",
       "                  도로명주소  \n",
       "9   충청남도 아산시 둔포면 아산밸리남로  \n",
       "19         서울특별시 중구 퇴계로  \n",
       "29      서울특별시 용산구 후암로4길  \n",
       "39      서울특별시 종로구 율곡로2길  \n",
       "49         서울특별시 중구 을지로  "
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp_data = temp_data.loc[temp_data['자료생성년월'] == 10]\n",
    "temp_data = temp_data[{'사업장명','사업자번호','업종코드명','도로명주소','key'}]\n",
    "temp_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "d88106fd-47f2-4c50-b3a5-a3920c262382",
   "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>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>11월 입사자 수</th>\n",
       "      <th>11월 퇴사자 수</th>\n",
       "      <th>key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>신일기업(주)</td>\n",
       "      <td>201810</td>\n",
       "      <td>서울특별시 중구 퇴계로</td>\n",
       "      <td>기타</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>신일기업(주) 201810 서울특별시 중구 퇴계로 기타</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(주)헤럴드</td>\n",
       "      <td>104810</td>\n",
       "      <td>서울특별시 용산구 후암로4길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>(주)헤럴드 104810 서울특별시 용산구 후암로4길 잡지 및 정기 간행물 발행업</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>연합뉴스(주)</td>\n",
       "      <td>102812</td>\n",
       "      <td>서울특별시 종로구 율곡로2길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>연합뉴스(주) 102812 서울특별시 종로구 율곡로2길 잡지 및 정기 간행물 발행업</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>협성해운(주)</td>\n",
       "      <td>202814</td>\n",
       "      <td>서울특별시 중구 을지로</td>\n",
       "      <td>내륙 수상 여객 및 화물 운송업</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>협성해운(주) 202814 서울특별시 중구 을지로 내륙 수상 여객 및 화물 운송업</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        사업장명   사업자번호                도로명주소              업종코드명  11월 입사자 수  \\\n",
       "0  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업         11   \n",
       "1    신일기업(주)  201810         서울특별시 중구 퇴계로                 기타          1   \n",
       "2     (주)헤럴드  104810      서울특별시 용산구 후암로4길    잡지 및 정기 간행물 발행업          0   \n",
       "3    연합뉴스(주)  102812      서울특별시 종로구 율곡로2길    잡지 및 정기 간행물 발행업          8   \n",
       "4    협성해운(주)  202814         서울특별시 중구 을지로  내륙 수상 여객 및 화물 운송업          1   \n",
       "\n",
       "   11월 퇴사자 수                                                key  \n",
       "0          1  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  \n",
       "1          0                     신일기업(주) 201810 서울특별시 중구 퇴계로 기타  \n",
       "2          5      (주)헤럴드 104810 서울특별시 용산구 후암로4길 잡지 및 정기 간행물 발행업  \n",
       "3          7     연합뉴스(주) 102812 서울특별시 종로구 율곡로2길 잡지 및 정기 간행물 발행업  \n",
       "4          0      협성해운(주) 202814 서울특별시 중구 을지로 내륙 수상 여객 및 화물 운송업  "
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data = pd.concat([temp_data,result2],axis=1)\n",
    "final_data = final_data[['사업장명','사업자번호','도로명주소','업종코드명','11월 입사자 수','11월 퇴사자 수','key']]\n",
    "final_data.reset_index(inplace = True)\n",
    "final_data = final_data.drop(columns = ['index'])\n",
    "final_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "b0f480fb-7ca3-4a00-b627-d784ec1b6a71",
   "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>자료생성년월</th>\n",
       "      <th>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "      <th>평균월급</th>\n",
       "      <th>평균연봉</th>\n",
       "      <th>key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>597</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>501</td>\n",
       "      <td>6007</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>593</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>501</td>\n",
       "      <td>6008</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>590</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>500</td>\n",
       "      <td>6005</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>588</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>500</td>\n",
       "      <td>6004</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>584</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>500</td>\n",
       "      <td>6000</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월       사업장명   사업자번호                도로명주소              업종코드명  가입자수  \\\n",
       "0       1  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   597   \n",
       "1       2  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   593   \n",
       "2       3  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   590   \n",
       "3       4  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   588   \n",
       "4       5  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   584   \n",
       "\n",
       "   신규  상실  평균월급  평균연봉                                                key  \n",
       "0   1   6   501  6007  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  \n",
       "1   2   8   501  6008  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  \n",
       "2   5   7   500  6005  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  \n",
       "3   5   6   500  6004  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  \n",
       "4   2   4   500  6000  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  "
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alldata = df.drop(columns = ['고지금액','인당고지금액'])\n",
    "alldata.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "33c54e0e-c0c1-4ea8-b5f6-c8c7d26f9214",
   "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>자료생성년월</th>\n",
       "      <th>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "      <th>평균월급</th>\n",
       "      <th>평균연봉</th>\n",
       "      <th>key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>597</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>501</td>\n",
       "      <td>6007</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>593</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>501</td>\n",
       "      <td>6008</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>590</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>500</td>\n",
       "      <td>6005</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>588</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>500</td>\n",
       "      <td>6004</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>584</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>500</td>\n",
       "      <td>6000</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월       사업장명   사업자번호                도로명주소              업종코드명  가입자수  \\\n",
       "0       1  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   597   \n",
       "1       2  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   593   \n",
       "2       3  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   590   \n",
       "3       4  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   588   \n",
       "4       5  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   584   \n",
       "\n",
       "   신규  상실  평균월급  평균연봉                                                key  \n",
       "0   1   6   501  6007  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  \n",
       "1   2   8   501  6008  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  \n",
       "2   5   7   500  6005  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  \n",
       "3   5   6   500  6004  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  \n",
       "4   2   4   500  6000  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  "
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols = ['사업장명', '사업자번호', '도로명주소','업종코드명']\n",
    "alldata['key'] = alldata[cols].apply(lambda row: ' '.join(row.values.astype(str)), axis=1)\n",
    "alldata.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "69ecd828-119a-41cb-9e19-7f5783c74145",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 성형용기 제조업    10\n",
       "농업회사법인주식회사에이원컴퍼니 421810 강원도 원주시 문막읍 문막공단길 상품 종합 도매업       10\n",
       "대성재가장애인복지센터 126822 부산광역시 해운대구 선수촌로 BIZ_NO미존재사업장           10\n",
       "(주)더비엔 407860 서울특별시 마포구 마포대로 데이터베이스 및 온라인 정보 제공업          10\n",
       "주식회사에이스테크 153810 충청남도 서산시 지곡면 충의로 포장용 플라스틱 성형용기 제조업       10\n",
       "                                                          ..\n",
       "용해신용협동조합 411820 전라남도 목포시 연산백련로1번길 신용조합                    10\n",
       "오륜기업(주) 417810 전라남도 여수시 대통2길 기타                           10\n",
       "주식회사 포에이스 416810 전라남도 광양시 길호1길 그 외 기타 1차 철강 제조업           10\n",
       "(주)남광포리마 416810 경상북도 포항시 남구 철강로 산업용 그 외 비경화 고무제품 제조업      10\n",
       "예천군가족센터 512820 경상북도 예천군 예천읍 충효로 BIZ_NO미존재사업장              10\n",
       "Name: key, Length: 354586, dtype: int64"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alldata['key'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32c45b74-a2dd-4f21-b442-8f48cac47e58",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 고유 key값 인코딩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "d0ff76d9-c790-4729-85c7-989883c44e11",
   "metadata": {},
   "outputs": [],
   "source": [
    "enc_classes = {} \n",
    "def encoding_label(x):   # x: 범주형 타입의 컬럼(Series)\n",
    "    le = LabelEncoder()\n",
    "    le.fit(x)\n",
    "    label = le.transform(x)\n",
    "    enc_classes[x.name] = le.classes_   # x.name: 컬럼명\n",
    "    return label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "a48cf041-b1dc-4b0a-8b02-c7b81c15bb1a",
   "metadata": {},
   "outputs": [],
   "source": [
    "encoding_columns = ['key']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "665ca234-0b75-4753-a475-d2b7ad8069c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data['key'] = final_data[encoding_columns].apply(encoding_label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "02136612-f9ac-4eeb-9ee5-cb6cef845327",
   "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>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>11월 입사자 수</th>\n",
       "      <th>11월 퇴사자 수</th>\n",
       "      <th>key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>신일기업(주)</td>\n",
       "      <td>201810</td>\n",
       "      <td>서울특별시 중구 퇴계로</td>\n",
       "      <td>기타</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>163761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(주)헤럴드</td>\n",
       "      <td>104810</td>\n",
       "      <td>서울특별시 용산구 후암로4길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>84481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>연합뉴스(주)</td>\n",
       "      <td>102812</td>\n",
       "      <td>서울특별시 종로구 율곡로2길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>175922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>협성해운(주)</td>\n",
       "      <td>202814</td>\n",
       "      <td>서울특별시 중구 을지로</td>\n",
       "      <td>내륙 수상 여객 및 화물 운송업</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>331993</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        사업장명   사업자번호                도로명주소              업종코드명  11월 입사자 수  \\\n",
       "0  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업         11   \n",
       "1    신일기업(주)  201810         서울특별시 중구 퇴계로                 기타          1   \n",
       "2     (주)헤럴드  104810      서울특별시 용산구 후암로4길    잡지 및 정기 간행물 발행업          0   \n",
       "3    연합뉴스(주)  102812      서울특별시 종로구 율곡로2길    잡지 및 정기 간행물 발행업          8   \n",
       "4    협성해운(주)  202814         서울특별시 중구 을지로  내륙 수상 여객 및 화물 운송업          1   \n",
       "\n",
       "   11월 퇴사자 수     key  \n",
       "0          1   14336  \n",
       "1          0  163761  \n",
       "2          5   84481  \n",
       "3          7  175922  \n",
       "4          0  331993  "
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "e4edaaaa-cd32-4a1c-a45e-05a0c4cc685a",
   "metadata": {},
   "outputs": [],
   "source": [
    "alldata['key'] = alldata[encoding_columns].apply(encoding_label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "cd2e22a9-56df-4e1b-87a7-70b845f79ec6",
   "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>자료생성년월</th>\n",
       "      <th>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "      <th>평균월급</th>\n",
       "      <th>평균연봉</th>\n",
       "      <th>key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>597</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>501</td>\n",
       "      <td>6007</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>593</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>501</td>\n",
       "      <td>6008</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>590</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>500</td>\n",
       "      <td>6005</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>588</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>500</td>\n",
       "      <td>6004</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>584</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>500</td>\n",
       "      <td>6000</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월       사업장명   사업자번호                도로명주소              업종코드명  가입자수  \\\n",
       "0       1  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   597   \n",
       "1       2  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   593   \n",
       "2       3  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   590   \n",
       "3       4  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   588   \n",
       "4       5  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   584   \n",
       "\n",
       "   신규  상실  평균월급  평균연봉    key  \n",
       "0   1   6   501  6007  14336  \n",
       "1   2   8   501  6008  14336  \n",
       "2   5   7   500  6005  14336  \n",
       "3   5   6   500  6004  14336  \n",
       "4   2   4   500  6000  14336  "
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alldata.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "b76e6a7d-025c-468b-a172-ea145b7792af",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "key값 입력:  14336\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(font=\"Malgun Gothic\", \n",
    "        rc={\"axes.unicode_minus\":False},\n",
    "        style='whitegrid')\n",
    "\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "\n",
    "area01 = fig.add_subplot(1, 2, 1)\n",
    "area02 = fig.add_subplot(1, 2, 2)\n",
    "\n",
    "a = int(input(\"key값 입력: \"))\n",
    "ax1 = sns.barplot(x = alldata.loc[alldata['key'] == a][\"자료생성년월\"], y = alldata.loc[alldata['key'] == a][\"평균월급\"], \n",
    "            hue = alldata.loc[alldata['key'] == a]['사업장명'], palette='pastel', ax=area01)\n",
    "\n",
    "ax2 = sns.barplot(x = alldata.loc[alldata['key'] == a][\"자료생성년월\"], y = alldata.loc[alldata['key'] == a][\"평균연봉\"], \n",
    "            hue = alldata.loc[alldata['key'] == a]['사업장명'], palette='Set3', ax=area02)\n",
    "\n",
    "for p in ax1.patches:\n",
    "    height = p.get_height()\n",
    "    ax1.text(p.get_x() + p.get_width() / 2., height + 3, height, ha = 'center', size = 9)\n",
    "\n",
    "for p in ax2.patches:\n",
    "    height = p.get_height()\n",
    "    ax2.text(p.get_x() + p.get_width() / 2., height + 3, height, ha = 'center', size = 9)\n",
    "\n",
    "ax1.legend(loc = 4, bbox_to_anchor = (1,1))\n",
    "ax2.legend(loc = 4, bbox_to_anchor = (1,1))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ab2e893-b892-40eb-816a-d449c52c4300",
   "metadata": {},
   "source": [
    "## MoM 계산"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "1abb4b75-ec18-4176-9cd0-9ecb3afe07e5",
   "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>자료생성년월</th>\n",
       "      <th>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>고지금액</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "      <th>평균월급</th>\n",
       "      <th>평균연봉</th>\n",
       "      <th>key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>597</td>\n",
       "      <td>268966860</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>501</td>\n",
       "      <td>6007</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>593</td>\n",
       "      <td>267215940</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>501</td>\n",
       "      <td>6008</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>590</td>\n",
       "      <td>265736600</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>500</td>\n",
       "      <td>6005</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>588</td>\n",
       "      <td>264774020</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>500</td>\n",
       "      <td>6004</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>584</td>\n",
       "      <td>262790600</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>500</td>\n",
       "      <td>6000</td>\n",
       "      <td>(주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월       사업장명   사업자번호                도로명주소              업종코드명  가입자수  \\\n",
       "0       1  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   597   \n",
       "1       2  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   593   \n",
       "2       3  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   590   \n",
       "3       4  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   588   \n",
       "4       5  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   584   \n",
       "\n",
       "        고지금액  신규  상실  평균월급  평균연봉  \\\n",
       "0  268966860   1   6   501  6007   \n",
       "1  267215940   2   8   501  6008   \n",
       "2  265736600   5   7   500  6005   \n",
       "3  264774020   5   6   500  6004   \n",
       "4  262790600   2   4   500  6000   \n",
       "\n",
       "                                                 key  \n",
       "0  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  \n",
       "1  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  \n",
       "2  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  \n",
       "3  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  \n",
       "4  (주)니프코코리아 211814 충청남도 아산시 둔포면 아산밸리남로 포장용 플라스틱 ...  "
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mom = df.drop(columns = ['인당고지금액'])\n",
    "mom.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "b916c7d5-d0e4-4986-8d97-848442f0344d",
   "metadata": {},
   "outputs": [],
   "source": [
    "enc_classes = {} \n",
    "def encoding_label(x):   # x: 범주형 타입의 컬럼(Series)\n",
    "    le = LabelEncoder()\n",
    "    le.fit(x)\n",
    "    label = le.transform(x)\n",
    "    enc_classes[x.name] = le.classes_   # x.name: 컬럼명\n",
    "    return label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "c5743b30-0ade-4723-a537-405775348b0b",
   "metadata": {},
   "outputs": [],
   "source": [
    "encoding_columns = ['key']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "34c5b050-ba19-43c9-bff7-b7e89eca1a8c",
   "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>자료생성년월</th>\n",
       "      <th>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>고지금액</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "      <th>평균월급</th>\n",
       "      <th>평균연봉</th>\n",
       "      <th>key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>597</td>\n",
       "      <td>268966860</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>501</td>\n",
       "      <td>6007</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>593</td>\n",
       "      <td>267215940</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>501</td>\n",
       "      <td>6008</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>590</td>\n",
       "      <td>265736600</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>500</td>\n",
       "      <td>6005</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>588</td>\n",
       "      <td>264774020</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>500</td>\n",
       "      <td>6004</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>584</td>\n",
       "      <td>262790600</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>500</td>\n",
       "      <td>6000</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월       사업장명   사업자번호                도로명주소              업종코드명  가입자수  \\\n",
       "0       1  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   597   \n",
       "1       2  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   593   \n",
       "2       3  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   590   \n",
       "3       4  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   588   \n",
       "4       5  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   584   \n",
       "\n",
       "        고지금액  신규  상실  평균월급  평균연봉    key  \n",
       "0  268966860   1   6   501  6007  14336  \n",
       "1  267215940   2   8   501  6008  14336  \n",
       "2  265736600   5   7   500  6005  14336  \n",
       "3  264774020   5   6   500  6004  14336  \n",
       "4  262790600   2   4   500  6000  14336  "
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mom['key'] = alldata[encoding_columns].apply(encoding_label)\n",
    "mom.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "a730bbd6-6077-4eb9-908f-a717d850cdc1",
   "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>자료생성년월</th>\n",
       "      <th>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>고지금액</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "      <th>평균월급</th>\n",
       "      <th>평균연봉</th>\n",
       "      <th>key</th>\n",
       "      <th>MOM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>597</td>\n",
       "      <td>268966860</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>501</td>\n",
       "      <td>6007</td>\n",
       "      <td>14336</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>593</td>\n",
       "      <td>267215940</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>501</td>\n",
       "      <td>6008</td>\n",
       "      <td>14336</td>\n",
       "      <td>-0.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>590</td>\n",
       "      <td>265736600</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>500</td>\n",
       "      <td>6005</td>\n",
       "      <td>14336</td>\n",
       "      <td>-0.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>588</td>\n",
       "      <td>264774020</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>500</td>\n",
       "      <td>6004</td>\n",
       "      <td>14336</td>\n",
       "      <td>-0.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>584</td>\n",
       "      <td>262790600</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>500</td>\n",
       "      <td>6000</td>\n",
       "      <td>14336</td>\n",
       "      <td>-0.75</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545855</th>\n",
       "      <td>6</td>\n",
       "      <td>예천군가족센터</td>\n",
       "      <td>512820</td>\n",
       "      <td>경상북도 예천군 예천읍 충효로</td>\n",
       "      <td>BIZ_NO미존재사업장</td>\n",
       "      <td>16</td>\n",
       "      <td>2705980</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>188</td>\n",
       "      <td>2255</td>\n",
       "      <td>178336</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545856</th>\n",
       "      <td>7</td>\n",
       "      <td>예천군가족센터</td>\n",
       "      <td>512820</td>\n",
       "      <td>경상북도 예천군 예천읍 충효로</td>\n",
       "      <td>BIZ_NO미존재사업장</td>\n",
       "      <td>16</td>\n",
       "      <td>2865740</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>199</td>\n",
       "      <td>2388</td>\n",
       "      <td>178336</td>\n",
       "      <td>5.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545857</th>\n",
       "      <td>8</td>\n",
       "      <td>예천군가족센터</td>\n",
       "      <td>512820</td>\n",
       "      <td>경상북도 예천군 예천읍 충효로</td>\n",
       "      <td>BIZ_NO미존재사업장</td>\n",
       "      <td>16</td>\n",
       "      <td>2865740</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>199</td>\n",
       "      <td>2388</td>\n",
       "      <td>178336</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545858</th>\n",
       "      <td>9</td>\n",
       "      <td>예천군가족센터</td>\n",
       "      <td>512820</td>\n",
       "      <td>경상북도 예천군 예천읍 충효로</td>\n",
       "      <td>BIZ_NO미존재사업장</td>\n",
       "      <td>16</td>\n",
       "      <td>2865740</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>199</td>\n",
       "      <td>2388</td>\n",
       "      <td>178336</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545859</th>\n",
       "      <td>10</td>\n",
       "      <td>예천군가족센터</td>\n",
       "      <td>512820</td>\n",
       "      <td>경상북도 예천군 예천읍 충효로</td>\n",
       "      <td>BIZ_NO미존재사업장</td>\n",
       "      <td>15</td>\n",
       "      <td>2780520</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>206</td>\n",
       "      <td>2472</td>\n",
       "      <td>178336</td>\n",
       "      <td>-2.97</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3545860 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         자료생성년월       사업장명   사업자번호                도로명주소              업종코드명  \\\n",
       "0             1  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   \n",
       "1             2  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   \n",
       "2             3  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   \n",
       "3             4  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   \n",
       "4             5  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   \n",
       "...         ...        ...     ...                  ...                ...   \n",
       "3545855       6    예천군가족센터  512820     경상북도 예천군 예천읍 충효로       BIZ_NO미존재사업장   \n",
       "3545856       7    예천군가족센터  512820     경상북도 예천군 예천읍 충효로       BIZ_NO미존재사업장   \n",
       "3545857       8    예천군가족센터  512820     경상북도 예천군 예천읍 충효로       BIZ_NO미존재사업장   \n",
       "3545858       9    예천군가족센터  512820     경상북도 예천군 예천읍 충효로       BIZ_NO미존재사업장   \n",
       "3545859      10    예천군가족센터  512820     경상북도 예천군 예천읍 충효로       BIZ_NO미존재사업장   \n",
       "\n",
       "         가입자수       고지금액  신규  상실  평균월급  평균연봉     key   MOM  \n",
       "0         597  268966860   1   6   501  6007   14336   NaN  \n",
       "1         593  267215940   2   8   501  6008   14336 -0.65  \n",
       "2         590  265736600   5   7   500  6005   14336 -0.55  \n",
       "3         588  264774020   5   6   500  6004   14336 -0.36  \n",
       "4         584  262790600   2   4   500  6000   14336 -0.75  \n",
       "...       ...        ...  ..  ..   ...   ...     ...   ...  \n",
       "3545855    16    2705980   0   0   188  2255  178336  0.00  \n",
       "3545856    16    2865740   0   0   199  2388  178336  5.90  \n",
       "3545857    16    2865740   0   0   199  2388  178336  0.00  \n",
       "3545858    16    2865740   0   1   199  2388  178336  0.00  \n",
       "3545859    15    2780520   0   0   206  2472  178336 -2.97  \n",
       "\n",
       "[3545860 rows x 13 columns]"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mom['MOM'] = mom.groupby(['key']).고지금액.pct_change() *100\n",
    "mom"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "6f0de1ef-c10b-4782-8ac1-3996091eae43",
   "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>자료생성년월</th>\n",
       "      <th>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "      <th>고지금액</th>\n",
       "      <th>평균월급</th>\n",
       "      <th>평균연봉</th>\n",
       "      <th>MOM</th>\n",
       "      <th>key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>597</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>268966860</td>\n",
       "      <td>501</td>\n",
       "      <td>6007</td>\n",
       "      <td>0.00</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>593</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>267215940</td>\n",
       "      <td>501</td>\n",
       "      <td>6008</td>\n",
       "      <td>-0.65</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>590</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>265736600</td>\n",
       "      <td>500</td>\n",
       "      <td>6005</td>\n",
       "      <td>-0.55</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>588</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>264774020</td>\n",
       "      <td>500</td>\n",
       "      <td>6004</td>\n",
       "      <td>-0.36</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>584</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>262790600</td>\n",
       "      <td>500</td>\n",
       "      <td>6000</td>\n",
       "      <td>-0.75</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월       사업장명   사업자번호                도로명주소              업종코드명  가입자수  \\\n",
       "0       1  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   597   \n",
       "1       2  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   593   \n",
       "2       3  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   590   \n",
       "3       4  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   588   \n",
       "4       5  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   584   \n",
       "\n",
       "   신규  상실       고지금액  평균월급  평균연봉   MOM    key  \n",
       "0   1   6  268966860   501  6007  0.00  14336  \n",
       "1   2   8  267215940   501  6008 -0.65  14336  \n",
       "2   5   7  265736600   500  6005 -0.55  14336  \n",
       "3   5   6  264774020   500  6004 -0.36  14336  \n",
       "4   2   4  262790600   500  6000 -0.75  14336  "
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mom = mom.fillna(0)\n",
    "mom = mom[['자료생성년월','사업장명', '사업자번호', '도로명주소', '업종코드명', '가입자수', '신규', '상실', '고지금액', '평균월급', '평균연봉', 'MOM', 'key']]\n",
    "mom.loc[3545850, '자료생성년월'] = 1\n",
    "mom.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "ccac405e-0e88-4286-ae4d-be06dc327c24",
   "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>자료생성년월</th>\n",
       "      <th>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>가입자수</th>\n",
       "      <th>신규</th>\n",
       "      <th>상실</th>\n",
       "      <th>평균월급</th>\n",
       "      <th>평균연봉</th>\n",
       "      <th>MOM</th>\n",
       "      <th>key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>597</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>501</td>\n",
       "      <td>6007</td>\n",
       "      <td>0.00</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>593</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>501</td>\n",
       "      <td>6008</td>\n",
       "      <td>-0.65</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>590</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>500</td>\n",
       "      <td>6005</td>\n",
       "      <td>-0.55</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>588</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>500</td>\n",
       "      <td>6004</td>\n",
       "      <td>-0.36</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>584</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>500</td>\n",
       "      <td>6000</td>\n",
       "      <td>-0.75</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   자료생성년월       사업장명   사업자번호                도로명주소              업종코드명  가입자수  \\\n",
       "0       1  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   597   \n",
       "1       2  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   593   \n",
       "2       3  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   590   \n",
       "3       4  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   588   \n",
       "4       5  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업   584   \n",
       "\n",
       "   신규  상실  평균월급  평균연봉   MOM    key  \n",
       "0   1   6   501  6007  0.00  14336  \n",
       "1   2   8   501  6008 -0.65  14336  \n",
       "2   5   7   500  6005 -0.55  14336  \n",
       "3   5   6   500  6004 -0.36  14336  \n",
       "4   2   4   500  6000 -0.75  14336  "
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "MoM = mom.drop(columns = ['고지금액'])\n",
    "MoM.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "d5d59d81-2f41-4fa9-914a-58e5f899b475",
   "metadata": {},
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "key값 입력:  14336\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(font=\"Malgun Gothic\", \n",
    "        rc={\"axes.unicode_minus\":False},\n",
    "        style='whitegrid')\n",
    "\n",
    "sfig = plt.figure(figsize=(15, 5))\n",
    "\n",
    "a = int(input(\"key값 입력: \"))\n",
    "ax3 = sns.lineplot(x = mom.loc[mom['key'] == a][\"자료생성년월\"], y = mom.loc[mom['key'] == a][\"MOM\"],hue = mom.loc[mom['key'] == a]['사업장명'])\n",
    "ax3.legend(loc = 4, bbox_to_anchor = (1,1))\n",
    "\n",
    "sfig =ax3.get_figure()\n",
    "\n",
    "#1, 2, 3, 4, 5, 6, 7, 8, 9, 10]x = [\n",
    "#plt.xticks(x)\n",
    "# sfig.savefig('filename.png',  orientation=\"landscape\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77c45889-89ee-46e2-856a-ad5fd547caad",
   "metadata": {},
   "source": [
    "## CMGR 계산"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "90cdcc98-17af-4872-89f7-3fc1ce37ecb5",
   "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>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>11월 입사자 수</th>\n",
       "      <th>11월 퇴사자 수</th>\n",
       "      <th>key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>신일기업(주)</td>\n",
       "      <td>201810</td>\n",
       "      <td>서울특별시 중구 퇴계로</td>\n",
       "      <td>기타</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>163761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(주)헤럴드</td>\n",
       "      <td>104810</td>\n",
       "      <td>서울특별시 용산구 후암로4길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>84481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>연합뉴스(주)</td>\n",
       "      <td>102812</td>\n",
       "      <td>서울특별시 종로구 율곡로2길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>175922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>협성해운(주)</td>\n",
       "      <td>202814</td>\n",
       "      <td>서울특별시 중구 을지로</td>\n",
       "      <td>내륙 수상 여객 및 화물 운송업</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>331993</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        사업장명   사업자번호                도로명주소              업종코드명  11월 입사자 수  \\\n",
       "0  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업         11   \n",
       "1    신일기업(주)  201810         서울특별시 중구 퇴계로                 기타          1   \n",
       "2     (주)헤럴드  104810      서울특별시 용산구 후암로4길    잡지 및 정기 간행물 발행업          0   \n",
       "3    연합뉴스(주)  102812      서울특별시 종로구 율곡로2길    잡지 및 정기 간행물 발행업          8   \n",
       "4    협성해운(주)  202814         서울특별시 중구 을지로  내륙 수상 여객 및 화물 운송업          1   \n",
       "\n",
       "   11월 퇴사자 수     key  \n",
       "0          1   14336  \n",
       "1          0  163761  \n",
       "2          5   84481  \n",
       "3          7  175922  \n",
       "4          0  331993  "
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmgr = final_data\n",
    "cmgr.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "67aca41b-4e1a-4f5c-81c0-2b69c7a0decc",
   "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>고지금액</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>279683880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6419460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>125617700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>395481180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>14695260</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        고지금액\n",
       "0  279683880\n",
       "1    6419460\n",
       "2  125617700\n",
       "3  395481180\n",
       "4   14695260"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ten = mom.loc[mom[\"자료생성년월\"] == 10].고지금액.to_frame()\n",
    "ten.reset_index(inplace=True)\n",
    "ten = ten.drop(columns = ['index'])\n",
    "ten.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "5f5ab941-f538-4d8e-91d2-0bca15983453",
   "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>고지금액</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>268966860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5879100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>119581820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>382843900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15691660</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        고지금액\n",
       "0  268966860\n",
       "1    5879100\n",
       "2  119581820\n",
       "3  382843900\n",
       "4   15691660"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "one = mom.loc[mom[\"자료생성년월\"] == 1].고지금액.to_frame()\n",
    "one.reset_index(inplace=True)\n",
    "one = one.drop(columns = ['index'])\n",
    "one.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "10cbb570-b4cc-45c2-8ac6-7b5ca6c261be",
   "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>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>11월 입사자 수</th>\n",
       "      <th>11월 퇴사자 수</th>\n",
       "      <th>key</th>\n",
       "      <th>1월 고지금액</th>\n",
       "      <th>10월 고지금액</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>14336</td>\n",
       "      <td>268966860</td>\n",
       "      <td>279683880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>신일기업(주)</td>\n",
       "      <td>201810</td>\n",
       "      <td>서울특별시 중구 퇴계로</td>\n",
       "      <td>기타</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>163761</td>\n",
       "      <td>5879100</td>\n",
       "      <td>6419460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(주)헤럴드</td>\n",
       "      <td>104810</td>\n",
       "      <td>서울특별시 용산구 후암로4길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>84481</td>\n",
       "      <td>119581820</td>\n",
       "      <td>125617700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>연합뉴스(주)</td>\n",
       "      <td>102812</td>\n",
       "      <td>서울특별시 종로구 율곡로2길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>175922</td>\n",
       "      <td>382843900</td>\n",
       "      <td>395481180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>협성해운(주)</td>\n",
       "      <td>202814</td>\n",
       "      <td>서울특별시 중구 을지로</td>\n",
       "      <td>내륙 수상 여객 및 화물 운송업</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>331993</td>\n",
       "      <td>15691660</td>\n",
       "      <td>14695260</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        사업장명   사업자번호                도로명주소              업종코드명  11월 입사자 수  \\\n",
       "0  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업         11   \n",
       "1    신일기업(주)  201810         서울특별시 중구 퇴계로                 기타          1   \n",
       "2     (주)헤럴드  104810      서울특별시 용산구 후암로4길    잡지 및 정기 간행물 발행업          0   \n",
       "3    연합뉴스(주)  102812      서울특별시 종로구 율곡로2길    잡지 및 정기 간행물 발행업          8   \n",
       "4    협성해운(주)  202814         서울특별시 중구 을지로  내륙 수상 여객 및 화물 운송업          1   \n",
       "\n",
       "   11월 퇴사자 수     key    1월 고지금액   10월 고지금액  \n",
       "0          1   14336  268966860  279683880  \n",
       "1          0  163761    5879100    6419460  \n",
       "2          5   84481  119581820  125617700  \n",
       "3          7  175922  382843900  395481180  \n",
       "4          0  331993   15691660   14695260  "
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmgr['1월 고지금액'] = one.고지금액\n",
    "cmgr['10월 고지금액'] = ten.고지금액\n",
    "cmgr.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "b53212c2-ed71-4a80-9f75-801e1e0d05d0",
   "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>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>11월 입사자 수</th>\n",
       "      <th>11월 퇴사자 수</th>\n",
       "      <th>CMGR</th>\n",
       "      <th>key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0.44</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>신일기업(주)</td>\n",
       "      <td>201810</td>\n",
       "      <td>서울특별시 중구 퇴계로</td>\n",
       "      <td>기타</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.98</td>\n",
       "      <td>163761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(주)헤럴드</td>\n",
       "      <td>104810</td>\n",
       "      <td>서울특별시 용산구 후암로4길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.55</td>\n",
       "      <td>84481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>연합뉴스(주)</td>\n",
       "      <td>102812</td>\n",
       "      <td>서울특별시 종로구 율곡로2길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>0.36</td>\n",
       "      <td>175922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>협성해운(주)</td>\n",
       "      <td>202814</td>\n",
       "      <td>서울특별시 중구 을지로</td>\n",
       "      <td>내륙 수상 여객 및 화물 운송업</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.73</td>\n",
       "      <td>331993</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        사업장명   사업자번호                도로명주소              업종코드명  11월 입사자 수  \\\n",
       "0  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업         11   \n",
       "1    신일기업(주)  201810         서울특별시 중구 퇴계로                 기타          1   \n",
       "2     (주)헤럴드  104810      서울특별시 용산구 후암로4길    잡지 및 정기 간행물 발행업          0   \n",
       "3    연합뉴스(주)  102812      서울특별시 종로구 율곡로2길    잡지 및 정기 간행물 발행업          8   \n",
       "4    협성해운(주)  202814         서울특별시 중구 을지로  내륙 수상 여객 및 화물 운송업          1   \n",
       "\n",
       "   11월 퇴사자 수  CMGR     key  \n",
       "0          1  0.44   14336  \n",
       "1          0  0.98  163761  \n",
       "2          5  0.55   84481  \n",
       "3          7  0.36  175922  \n",
       "4          0 -0.73  331993  "
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmgr['CMGR'] = (pow((cmgr['10월 고지금액'] / cmgr['1월 고지금액']), 1/9) - 1) * 100\n",
    "cmgr = cmgr.drop(columns = ['1월 고지금액','10월 고지금액'])\n",
    "cmgr=cmgr[['사업장명', '사업자번호', '도로명주소', '업종코드명', '11월 입사자 수', \n",
    "           '11월 퇴사자 수', 'CMGR', 'key']]\n",
    "cmgr.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "f890c688-87d0-49f6-a1c6-f75935c5e328",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "key값 입력:  14336\n"
     ]
    },
    {
     "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>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>11월 입사자 수</th>\n",
       "      <th>11월 퇴사자 수</th>\n",
       "      <th>CMGR</th>\n",
       "      <th>key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0.44</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        사업장명   사업자번호                도로명주소              업종코드명  11월 입사자 수  \\\n",
       "0  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업         11   \n",
       "\n",
       "   11월 퇴사자 수  CMGR    key  \n",
       "0          1  0.44  14336  "
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = int(input(\"key값 입력: \"))\n",
    "cmgr.loc[cmgr['key'] == a]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9aeebd9a-6812-4a7c-a24c-54af091e6960",
   "metadata": {},
   "source": [
    "## 테스트"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "0081ad88-0eec-4d02-a89a-fe19cad9366e",
   "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>MOM</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>key</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-1.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      MOM\n",
       "key      \n",
       "0    0.42\n",
       "1   -1.52\n",
       "2    4.98\n",
       "3    1.62\n",
       "4   -0.24"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "momavg = MoM.groupby(['key']).mean()\n",
    "momavg = momavg.drop(columns = ['자료생성년월','사업자번호','가입자수','신규','상실','평균월급','평균연봉'])\n",
    "momavg.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "id": "7805edd5-d1fa-4bbf-b66d-79f7a8bd27d2",
   "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>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>11월 입사자 수</th>\n",
       "      <th>11월 퇴사자 수</th>\n",
       "      <th>CMGR</th>\n",
       "      <th>key</th>\n",
       "      <th>MOM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0.44</td>\n",
       "      <td>14336</td>\n",
       "      <td>0.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>신일기업(주)</td>\n",
       "      <td>201810</td>\n",
       "      <td>서울특별시 중구 퇴계로</td>\n",
       "      <td>기타</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.98</td>\n",
       "      <td>163761</td>\n",
       "      <td>0.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(주)헤럴드</td>\n",
       "      <td>104810</td>\n",
       "      <td>서울특별시 용산구 후암로4길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.55</td>\n",
       "      <td>84481</td>\n",
       "      <td>0.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>연합뉴스(주)</td>\n",
       "      <td>102812</td>\n",
       "      <td>서울특별시 종로구 율곡로2길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>0.36</td>\n",
       "      <td>175922</td>\n",
       "      <td>0.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>협성해운(주)</td>\n",
       "      <td>202814</td>\n",
       "      <td>서울특별시 중구 을지로</td>\n",
       "      <td>내륙 수상 여객 및 화물 운송업</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.73</td>\n",
       "      <td>331993</td>\n",
       "      <td>-0.63</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        사업장명   사업자번호                도로명주소              업종코드명  11월 입사자 수  \\\n",
       "0  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업         11   \n",
       "1    신일기업(주)  201810         서울특별시 중구 퇴계로                 기타          1   \n",
       "2     (주)헤럴드  104810      서울특별시 용산구 후암로4길    잡지 및 정기 간행물 발행업          0   \n",
       "3    연합뉴스(주)  102812      서울특별시 종로구 율곡로2길    잡지 및 정기 간행물 발행업          8   \n",
       "4    협성해운(주)  202814         서울특별시 중구 을지로  내륙 수상 여객 및 화물 운송업          1   \n",
       "\n",
       "   11월 퇴사자 수  CMGR     key   MOM  \n",
       "0          1  0.44   14336  0.41  \n",
       "1          0  0.98  163761  0.89  \n",
       "2          5  0.55   84481  0.52  \n",
       "3          7  0.36  175922  0.35  \n",
       "4          0 -0.73  331993 -0.63  "
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fin = pd.merge(cmgr, momavg, how = \"inner\", on = ['key'])\n",
    "fin.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "id": "12f9b45d-7894-454f-8519-41c78f111de8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-1.8502028375860538\n",
      "-0.7454411698215981\n",
      "-0.09646964788323176\n",
      "0.2440965095840597\n",
      "0.57087702641477\n",
      "0.9846829784195688\n",
      "1.5664384897053858\n",
      "2.444304642202515\n",
      "4.059500366977291\n",
      "330.18580813112715\n"
     ]
    }
   ],
   "source": [
    "# MOM 평균 분위수\n",
    "print(np.percentile(fin['MOM'], 10))\n",
    "print(np.percentile(fin['MOM'], 20))\n",
    "print(np.percentile(fin['MOM'], 30))\n",
    "print(np.percentile(fin['MOM'], 40))\n",
    "print(np.percentile(fin['MOM'], 50))\n",
    "print(np.percentile(fin['MOM'], 60))\n",
    "print(np.percentile(fin['MOM'], 70))\n",
    "print(np.percentile(fin['MOM'], 80))\n",
    "print(np.percentile(fin['MOM'], 90))\n",
    "print(np.percentile(fin['MOM'], 100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "id": "b6af3dd0-6866-4349-86c3-52a893025a29",
   "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>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>11월 입사자 수</th>\n",
       "      <th>11월 퇴사자 수</th>\n",
       "      <th>CMGR</th>\n",
       "      <th>key</th>\n",
       "      <th>MOM</th>\n",
       "      <th>standard1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0.44</td>\n",
       "      <td>14336</td>\n",
       "      <td>0.41</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>신일기업(주)</td>\n",
       "      <td>201810</td>\n",
       "      <td>서울특별시 중구 퇴계로</td>\n",
       "      <td>기타</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.98</td>\n",
       "      <td>163761</td>\n",
       "      <td>0.89</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(주)헤럴드</td>\n",
       "      <td>104810</td>\n",
       "      <td>서울특별시 용산구 후암로4길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.55</td>\n",
       "      <td>84481</td>\n",
       "      <td>0.52</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>연합뉴스(주)</td>\n",
       "      <td>102812</td>\n",
       "      <td>서울특별시 종로구 율곡로2길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>0.36</td>\n",
       "      <td>175922</td>\n",
       "      <td>0.35</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>협성해운(주)</td>\n",
       "      <td>202814</td>\n",
       "      <td>서울특별시 중구 을지로</td>\n",
       "      <td>내륙 수상 여객 및 화물 운송업</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.73</td>\n",
       "      <td>331993</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        사업장명   사업자번호                도로명주소              업종코드명  11월 입사자 수  \\\n",
       "0  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업         11   \n",
       "1    신일기업(주)  201810         서울특별시 중구 퇴계로                 기타          1   \n",
       "2     (주)헤럴드  104810      서울특별시 용산구 후암로4길    잡지 및 정기 간행물 발행업          0   \n",
       "3    연합뉴스(주)  102812      서울특별시 종로구 율곡로2길    잡지 및 정기 간행물 발행업          8   \n",
       "4    협성해운(주)  202814         서울특별시 중구 을지로  내륙 수상 여객 및 화물 운송업          1   \n",
       "\n",
       "   11월 퇴사자 수  CMGR     key   MOM  standard1  \n",
       "0          1  0.44   14336  0.41          5  \n",
       "1          0  0.98  163761  0.89          6  \n",
       "2          5  0.55   84481  0.52          5  \n",
       "3          7  0.36  175922  0.35          5  \n",
       "4          0 -0.73  331993 -0.63          3  "
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "standard = []\n",
    "for row in fin['MOM']:\n",
    "    if row <= -1.8502028375860538:\n",
    "        standard.append(1)\n",
    "    elif -1.8502028375860538 < row and row <= -0.7454411698215981:\n",
    "        standard.append(2)\n",
    "    elif -0.7454411698215981 < row and row <= -0.09646964788323176:\n",
    "        standard.append(3)\n",
    "    elif -0.09646964788323176 < row and row <= 0.2440965095840597:\n",
    "        standard.append(4)\n",
    "    elif 0.2440965095840597 < row and row <= 0.57087702641477:\n",
    "        standard.append(5)\n",
    "    elif 0.57087702641477 < row and row <= 0.9846829784195688:\n",
    "        standard.append(6)\n",
    "    elif 0.9846829784195688 < row and row <= 1.5664384897053858:\n",
    "        standard.append(7)\n",
    "    elif 1.5664384897053858 < row and row <= 2.444304642202515:\n",
    "        standard.append(8)\n",
    "    elif 2.444304642202515 < row and row <= 4.059500366977291:\n",
    "        standard.append(9)\n",
    "    else:\n",
    "        standard.append(10)\n",
    "        \n",
    "fin['standard1'] = standard\n",
    "fin.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "id": "b9eadfe1-68fb-49a6-acc0-18b476cd3a80",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-2.558352762485888\n",
      "-1.1620632861601865\n",
      "-0.3226251798176094\n",
      "0.11105222506004875\n",
      "0.4473872392599776\n",
      "0.8393285801042705\n",
      "1.4051632774207623\n",
      "2.2386692611048753\n",
      "3.6901460828269728\n",
      "58.456653086089425\n"
     ]
    }
   ],
   "source": [
    "# CMGR 분위수\n",
    "print(np.percentile(fin['CMGR'], 10))\n",
    "print(np.percentile(fin['CMGR'], 20))\n",
    "print(np.percentile(fin['CMGR'], 30))\n",
    "print(np.percentile(fin['CMGR'], 40))\n",
    "print(np.percentile(fin['CMGR'], 50))\n",
    "print(np.percentile(fin['CMGR'], 60))\n",
    "print(np.percentile(fin['CMGR'], 70))\n",
    "print(np.percentile(fin['CMGR'], 80))\n",
    "print(np.percentile(fin['CMGR'], 90))\n",
    "print(np.percentile(fin['CMGR'], 100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "id": "8acbd8bf-33d4-45b1-8542-45209cc0ee8d",
   "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>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>11월 입사자 수</th>\n",
       "      <th>11월 퇴사자 수</th>\n",
       "      <th>CMGR</th>\n",
       "      <th>key</th>\n",
       "      <th>MOM</th>\n",
       "      <th>standard1</th>\n",
       "      <th>standard2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0.44</td>\n",
       "      <td>14336</td>\n",
       "      <td>0.41</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>신일기업(주)</td>\n",
       "      <td>201810</td>\n",
       "      <td>서울특별시 중구 퇴계로</td>\n",
       "      <td>기타</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.98</td>\n",
       "      <td>163761</td>\n",
       "      <td>0.89</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(주)헤럴드</td>\n",
       "      <td>104810</td>\n",
       "      <td>서울특별시 용산구 후암로4길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.55</td>\n",
       "      <td>84481</td>\n",
       "      <td>0.52</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>연합뉴스(주)</td>\n",
       "      <td>102812</td>\n",
       "      <td>서울특별시 종로구 율곡로2길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>0.36</td>\n",
       "      <td>175922</td>\n",
       "      <td>0.35</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>협성해운(주)</td>\n",
       "      <td>202814</td>\n",
       "      <td>서울특별시 중구 을지로</td>\n",
       "      <td>내륙 수상 여객 및 화물 운송업</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.73</td>\n",
       "      <td>331993</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        사업장명   사업자번호                도로명주소              업종코드명  11월 입사자 수  \\\n",
       "0  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업         11   \n",
       "1    신일기업(주)  201810         서울특별시 중구 퇴계로                 기타          1   \n",
       "2     (주)헤럴드  104810      서울특별시 용산구 후암로4길    잡지 및 정기 간행물 발행업          0   \n",
       "3    연합뉴스(주)  102812      서울특별시 종로구 율곡로2길    잡지 및 정기 간행물 발행업          8   \n",
       "4    협성해운(주)  202814         서울특별시 중구 을지로  내륙 수상 여객 및 화물 운송업          1   \n",
       "\n",
       "   11월 퇴사자 수  CMGR     key   MOM  standard1  standard2  \n",
       "0          1  0.44   14336  0.41          5          5  \n",
       "1          0  0.98  163761  0.89          6          7  \n",
       "2          5  0.55   84481  0.52          5          6  \n",
       "3          7  0.36  175922  0.35          5          5  \n",
       "4          0 -0.73  331993 -0.63          3          3  "
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "standard = []\n",
    "for row in fin['CMGR']:\n",
    "    if row <= -2.558352762485888:\n",
    "        standard.append(1)\n",
    "    elif -2.558352762485888 < row and row <= -1.1620632861601865:\n",
    "        standard.append(2)\n",
    "    elif -1.1620632861601865 < row and row <= -0.3226251798176094:\n",
    "        standard.append(3)\n",
    "    elif -0.3226251798176094 < row and row <= 0.11105222506004875:\n",
    "        standard.append(4)\n",
    "    elif 0.11105222506004875 < row and row <= 0.4473872392599776:\n",
    "        standard.append(5)\n",
    "    elif 0.4473872392599776 < row and row <= 0.8393285801042705:\n",
    "        standard.append(6)\n",
    "    elif 0.8393285801042705 < row and row <= 1.4051632774207623:\n",
    "        standard.append(7)\n",
    "    elif 1.4051632774207623 < row and row <= 2.2386692611048753:\n",
    "        standard.append(8)\n",
    "    elif 2.2386692611048753 < row and row <= 3.6901460828269728:\n",
    "        standard.append(9)\n",
    "    else:\n",
    "        standard.append(10)\n",
    "        \n",
    "fin['standard2'] = standard\n",
    "fin.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "id": "70e4ad15-b824-4ae8-a7d8-b315411760f2",
   "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>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>11월 입사자 수</th>\n",
       "      <th>11월 퇴사자 수</th>\n",
       "      <th>CMGR</th>\n",
       "      <th>key</th>\n",
       "      <th>MOM</th>\n",
       "      <th>standard1</th>\n",
       "      <th>standard2</th>\n",
       "      <th>standard</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0.44</td>\n",
       "      <td>14336</td>\n",
       "      <td>0.41</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>신일기업(주)</td>\n",
       "      <td>201810</td>\n",
       "      <td>서울특별시 중구 퇴계로</td>\n",
       "      <td>기타</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.98</td>\n",
       "      <td>163761</td>\n",
       "      <td>0.89</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(주)헤럴드</td>\n",
       "      <td>104810</td>\n",
       "      <td>서울특별시 용산구 후암로4길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.55</td>\n",
       "      <td>84481</td>\n",
       "      <td>0.52</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>연합뉴스(주)</td>\n",
       "      <td>102812</td>\n",
       "      <td>서울특별시 종로구 율곡로2길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>0.36</td>\n",
       "      <td>175922</td>\n",
       "      <td>0.35</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>협성해운(주)</td>\n",
       "      <td>202814</td>\n",
       "      <td>서울특별시 중구 을지로</td>\n",
       "      <td>내륙 수상 여객 및 화물 운송업</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.73</td>\n",
       "      <td>331993</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        사업장명   사업자번호                도로명주소              업종코드명  11월 입사자 수  \\\n",
       "0  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업         11   \n",
       "1    신일기업(주)  201810         서울특별시 중구 퇴계로                 기타          1   \n",
       "2     (주)헤럴드  104810      서울특별시 용산구 후암로4길    잡지 및 정기 간행물 발행업          0   \n",
       "3    연합뉴스(주)  102812      서울특별시 종로구 율곡로2길    잡지 및 정기 간행물 발행업          8   \n",
       "4    협성해운(주)  202814         서울특별시 중구 을지로  내륙 수상 여객 및 화물 운송업          1   \n",
       "\n",
       "   11월 퇴사자 수  CMGR     key   MOM  standard1  standard2  standard  \n",
       "0          1  0.44   14336  0.41          5          5        10  \n",
       "1          0  0.98  163761  0.89          6          7        13  \n",
       "2          5  0.55   84481  0.52          5          6        11  \n",
       "3          7  0.36  175922  0.35          5          5        10  \n",
       "4          0 -0.73  331993 -0.63          3          3         6  "
      ]
     },
     "execution_count": 210,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fin['standard'] = fin['standard1']+fin['standard2']\n",
    "fin.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "id": "45df84a9-e8a1-4b26-b8f3-6c324c9db4bd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.0\n",
      "5.0\n",
      "7.0\n",
      "9.0\n",
      "11.0\n",
      "13.0\n",
      "15.0\n",
      "17.0\n",
      "19.0\n",
      "20.0\n"
     ]
    }
   ],
   "source": [
    "# standard 분위수\n",
    "print(np.percentile(fin['standard'], 10))\n",
    "print(np.percentile(fin['standard'], 20))\n",
    "print(np.percentile(fin['standard'], 30))\n",
    "print(np.percentile(fin['standard'], 40))\n",
    "print(np.percentile(fin['standard'], 50))\n",
    "print(np.percentile(fin['standard'], 60))\n",
    "print(np.percentile(fin['standard'], 70))\n",
    "print(np.percentile(fin['standard'], 80))\n",
    "print(np.percentile(fin['standard'], 90))\n",
    "print(np.percentile(fin['standard'], 100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "id": "d87aed91-bfc0-4078-846d-09cd5a57e774",
   "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>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>11월 입사자 수</th>\n",
       "      <th>11월 퇴사자 수</th>\n",
       "      <th>CMGR</th>\n",
       "      <th>key</th>\n",
       "      <th>MOM</th>\n",
       "      <th>standard1</th>\n",
       "      <th>standard2</th>\n",
       "      <th>standard</th>\n",
       "      <th>등급</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0.44</td>\n",
       "      <td>14336</td>\n",
       "      <td>0.41</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>신일기업(주)</td>\n",
       "      <td>201810</td>\n",
       "      <td>서울특별시 중구 퇴계로</td>\n",
       "      <td>기타</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.98</td>\n",
       "      <td>163761</td>\n",
       "      <td>0.89</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>13</td>\n",
       "      <td>BB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(주)헤럴드</td>\n",
       "      <td>104810</td>\n",
       "      <td>서울특별시 용산구 후암로4길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.55</td>\n",
       "      <td>84481</td>\n",
       "      <td>0.52</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>11</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>연합뉴스(주)</td>\n",
       "      <td>102812</td>\n",
       "      <td>서울특별시 종로구 율곡로2길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>0.36</td>\n",
       "      <td>175922</td>\n",
       "      <td>0.35</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>협성해운(주)</td>\n",
       "      <td>202814</td>\n",
       "      <td>서울특별시 중구 을지로</td>\n",
       "      <td>내륙 수상 여객 및 화물 운송업</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.73</td>\n",
       "      <td>331993</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>CC</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        사업장명   사업자번호                도로명주소              업종코드명  11월 입사자 수  \\\n",
       "0  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업         11   \n",
       "1    신일기업(주)  201810         서울특별시 중구 퇴계로                 기타          1   \n",
       "2     (주)헤럴드  104810      서울특별시 용산구 후암로4길    잡지 및 정기 간행물 발행업          0   \n",
       "3    연합뉴스(주)  102812      서울특별시 종로구 율곡로2길    잡지 및 정기 간행물 발행업          8   \n",
       "4    협성해운(주)  202814         서울특별시 중구 을지로  내륙 수상 여객 및 화물 운송업          1   \n",
       "\n",
       "   11월 퇴사자 수  CMGR     key   MOM  standard1  standard2  standard  등급  \n",
       "0          1  0.44   14336  0.41          5          5        10   B  \n",
       "1          0  0.98  163761  0.89          6          7        13  BB  \n",
       "2          5  0.55   84481  0.52          5          6        11   B  \n",
       "3          7  0.36  175922  0.35          5          5        10   B  \n",
       "4          0 -0.73  331993 -0.63          3          3         6  CC  "
      ]
     },
     "execution_count": 212,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "standard = []\n",
    "for row in fin['standard']:\n",
    "    if row <= 3.0:\n",
    "        standard.append('D')\n",
    "    elif 3.0 < row and row <= 5.0:\n",
    "        standard.append('C')\n",
    "    elif 5.0 < row and row <= 7.0:\n",
    "        standard.append('CC')\n",
    "    elif 7.0 < row and row <= 9.0:\n",
    "        standard.append('CCC')\n",
    "    elif 9.0 < row and row <= 11.0:\n",
    "        standard.append('B')\n",
    "    elif 11.0 < row and row <= 13.0:\n",
    "        standard.append('BB')\n",
    "    elif 13.0 < row and row <= 15.0:\n",
    "        standard.append('BBB')\n",
    "    elif 15.0 < row and row <= 17.0:\n",
    "        standard.append('A')\n",
    "    elif 17.0 < row and row <= 19.0:\n",
    "        standard.append('AA')\n",
    "    else:\n",
    "        standard.append('AAA')\n",
    "        \n",
    "fin['등급'] = standard\n",
    "fin.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "477a2592-b568-476c-a9a5-e92011f7e2ce",
   "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>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>11월 입사자 수</th>\n",
       "      <th>11월 퇴사자 수</th>\n",
       "      <th>평균월별성장률</th>\n",
       "      <th>월간복합성장률</th>\n",
       "      <th>등급</th>\n",
       "      <th>key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(주)니프코코리아</td>\n",
       "      <td>211814</td>\n",
       "      <td>충청남도 아산시 둔포면 아산밸리남로</td>\n",
       "      <td>포장용 플라스틱 성형용기 제조업</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.44</td>\n",
       "      <td>B</td>\n",
       "      <td>14336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>신일기업(주)</td>\n",
       "      <td>201810</td>\n",
       "      <td>서울특별시 중구 퇴계로</td>\n",
       "      <td>기타</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.89</td>\n",
       "      <td>0.98</td>\n",
       "      <td>BB</td>\n",
       "      <td>163761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(주)헤럴드</td>\n",
       "      <td>104810</td>\n",
       "      <td>서울특별시 용산구 후암로4길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.52</td>\n",
       "      <td>0.55</td>\n",
       "      <td>B</td>\n",
       "      <td>84481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>연합뉴스(주)</td>\n",
       "      <td>102812</td>\n",
       "      <td>서울특별시 종로구 율곡로2길</td>\n",
       "      <td>잡지 및 정기 간행물 발행업</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.36</td>\n",
       "      <td>B</td>\n",
       "      <td>175922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>협성해운(주)</td>\n",
       "      <td>202814</td>\n",
       "      <td>서울특별시 중구 을지로</td>\n",
       "      <td>내륙 수상 여객 및 화물 운송업</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>-0.73</td>\n",
       "      <td>CC</td>\n",
       "      <td>331993</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        사업장명   사업자번호                도로명주소              업종코드명  11월 입사자 수  \\\n",
       "0  (주)니프코코리아  211814  충청남도 아산시 둔포면 아산밸리남로  포장용 플라스틱 성형용기 제조업         11   \n",
       "1    신일기업(주)  201810         서울특별시 중구 퇴계로                 기타          1   \n",
       "2     (주)헤럴드  104810      서울특별시 용산구 후암로4길    잡지 및 정기 간행물 발행업          0   \n",
       "3    연합뉴스(주)  102812      서울특별시 종로구 율곡로2길    잡지 및 정기 간행물 발행업          8   \n",
       "4    협성해운(주)  202814         서울특별시 중구 을지로  내륙 수상 여객 및 화물 운송업          1   \n",
       "\n",
       "   11월 퇴사자 수  평균월별성장률  월간복합성장률  등급     key  \n",
       "0          1     0.41     0.44   B   14336  \n",
       "1          0     0.89     0.98  BB  163761  \n",
       "2          5     0.52     0.55   B   84481  \n",
       "3          7     0.35     0.36   B  175922  \n",
       "4          0    -0.63    -0.73  CC  331993  "
      ]
     },
     "execution_count": 213,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fin = fin.drop(columns = ['standard1','standard2','standard'])\n",
    "fin = fin.rename(columns={'CMGR':'월간복합성장률', 'MOM':'평균월별성장률'})\n",
    "fin = fin[['사업장명','사업자번호','도로명주소','업종코드명','11월 입사자 수','11월 퇴사자 수','평균월별성장률','월간복합성장률','등급','key']]\n",
    "fin.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "id": "83ec9c5c-e804-4b02-aef6-f121dd2d09fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "D      37999\n",
       "B      37598\n",
       "CCC    37485\n",
       "C      36382\n",
       "CC     35773\n",
       "BB     35567\n",
       "A      34395\n",
       "BBB    34387\n",
       "AA     33937\n",
       "AAA    31063\n",
       "Name: 등급, dtype: int64"
      ]
     },
     "execution_count": 214,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fin['등급'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "id": "2136af80-eeb4-409c-9ddd-f4257dd06e36",
   "metadata": {},
   "outputs": [],
   "source": [
    "import openpyxl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "id": "b9a89f92-29bd-4d9c-a477-0994fdf862ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data.drop(columns = ['사업자번호','11월 입사자 수','11월 퇴사자 수']).to_csv(\"data.csv\",encoding='euc-kr')\n",
    "MoM.to_csv(\"alldata.csv\",encoding='euc-kr')\n",
    "fin.to_csv(\"cmgr.csv\",encoding='euc-kr')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "id": "f4c1dbf5-8bb7-429d-a009-d8acfb40f8c0",
   "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>사업장명</th>\n",
       "      <th>사업자번호</th>\n",
       "      <th>도로명주소</th>\n",
       "      <th>업종코드명</th>\n",
       "      <th>11월 입사자 수</th>\n",
       "      <th>11월 퇴사자 수</th>\n",
       "      <th>평균월별성장률</th>\n",
       "      <th>월간복합성장률</th>\n",
       "      <th>등급</th>\n",
       "      <th>key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>236659</th>\n",
       "      <td>(주)이노버전스</td>\n",
       "      <td>141814</td>\n",
       "      <td>세종특별자치시 시청대로</td>\n",
       "      <td>응용 소프트웨어 개발 및 공급업</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-3.06</td>\n",
       "      <td>-3.74</td>\n",
       "      <td>D</td>\n",
       "      <td>60387</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            사업장명   사업자번호         도로명주소              업종코드명  11월 입사자 수  \\\n",
       "236659  (주)이노버전스  141814  세종특별자치시 시청대로  응용 소프트웨어 개발 및 공급업          0   \n",
       "\n",
       "        11월 퇴사자 수  평균월별성장률  월간복합성장률 등급    key  \n",
       "236659          0    -3.06    -3.74  D  60387  "
      ]
     },
     "execution_count": 257,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fin.loc[fin['사업장명'] == '(주)이노버전스']\n",
    "\n",
    "# 기업 자체의 등급이 아닌 평균월별성장률과 월간복합성장률 데이터를 활용하여 기업성장지표 등급을 매긴 것"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "geopandas",
   "language": "python",
   "name": "geopandas"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}