diff --git a/EDA.py b/EDA.py
new file mode 100644
index 0000000..139b37f
--- /dev/null
+++ b/EDA.py
@@ -0,0 +1 @@
+{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"collapsed_sections":[],"authorship_tag":"ABX9TyMDnUEhALa1zSuEDS16KnaG"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","source":["!sudo apt-get install -y fonts-nanum\n","!sudo fc-cache -fv\n","!rm ~/.cache/matplotlib -rf"],"metadata":{"id":"TrayIT-tRR9Q"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["plt.rc('font', family='NanumBarunGothic')"],"metadata":{"id":"4ys0NbWcqv08"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["- 주어진 가상의 고객행동/구매 data를 가지고 사전 행동을 분석하고 EDA 결과 및 행동 특성에 따라 유형화(고객 sgmentation)\n","- 고객 유형 분류!"],"metadata":{"id":"MdbgV4CZRElS"}},{"cell_type":"code","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","warnings.filterwarnings(action='ignore')"],"metadata":{"id":"zV7IOFHtXOwy"},"execution_count":null,"outputs":[]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"l_fAx2MdVnSY","executionInfo":{"status":"ok","timestamp":1666777514597,"user_tz":-540,"elapsed":19739,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"ccbcd7f2-cb59-4732-96c1-f0365d641201"},"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}],"source":["from google.colab import drive\n","drive.mount('/content/drive')\n","filename1 = '/content/drive/MyDrive/현대자동차2022/DM1_DS_99_HCKRTHN_CNTT_F.csv'\n","filename2 = '/content/drive/MyDrive/현대자동차2022/DM1_DS_99_HCKRTHN_DEMO_F.csv'\n","filename3 = '/content/drive/MyDrive/현대자동차2022/DM1_DS_99_HCKRTHN_PROS_ITG_F.csv'"]},{"cell_type":"code","source":["#차량 정보\n","carinfo_df = pd.read_csv(filename1,encoding='cp949')\n","#고객 접촉 이력 정보\n","cus = pd.read_csv(filename2,encoding='cp949')\n","#채널 인입 이력\n","inc = pd.read_csv(filename3,encoding='cp949')"],"metadata":{"id":"Fy0PbvH_WFN8"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["##carinfo_df EDA\n","\n","---\n","1. 해당되는 고객의 차량 계약 이력 및 정보\n","2. 1:n 관계로 다수의 차량 구매 이력\n"],"metadata":{"id":"gFDi-23kZYrH"}},{"cell_type":"code","source":["#차량 정보\n","carinfo_df = pd.read_csv(filename1,encoding='cp949')\n","carinfo_df.head(5)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"80Zn924BZfSL","executionInfo":{"status":"ok","timestamp":1666777519012,"user_tz":-540,"elapsed":10,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"1067e67e-08d8-4c30-b1e5-e2275f0fdcce"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["          CAR_ID   CNTT_DT VEHL_CD                         DOM_MDL_NM  \\\n","0  C98N3HQIS4G67  20210302      IG    그랜저IG 자가용 하이브리드 PREMIUM A/T F/L   \n","1  C18MB8E9FEO8O  20220117      M5    포터II 디젤 슈퍼캡 초장축 카고 스타일 매뉴얼 22MY   \n","2  CXMMZDI2JRWCX  20200511      DN  쏘나타DN8 20MY 자가용 가솔린 2.0 CVVL 프리미엄   \n","3  C934SRCKF4H44  20220104      NX  The all-new 투싼 하이브리드 인스퍼레이션 2WD A   \n","4  CU1BBNUEHOTDM  20220210      JJ  The All new G80 가솔린 2.5T AWD 19인치   \n","\n","  PAC_SCN_NM SALE_CGRD_NM SALE_TRIM_NM   SALE_ENG_NM            CUS_ID  \n","0         승용           대형      PREMIUM         하이브리드  APW9ZIWDQQNYY8LK  \n","1       소형상용         소형트럭          스타일            디젤  AGBCIS57DPHRRP9X  \n","2         승용           중형     프리미엄 패밀리  가솔린 2.0 CVVL  A4W2GG6ZLMZ81DB3  \n","3         RV       준중형SUV       인스퍼레이션         하이브리드  ATHNS3F4766FKDW3  \n","4         승용           대형   19인치A SDS2      가솔린 2.5T  A8D7NHFKA3K83QH4  "],"text/html":["\n","  <div id=\"df-02b89f86-4987-4004-bf90-065ca07c21d7\">\n","    <div class=\"colab-df-container\">\n","      <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>CAR_ID</th>\n","      <th>CNTT_DT</th>\n","      <th>VEHL_CD</th>\n","      <th>DOM_MDL_NM</th>\n","      <th>PAC_SCN_NM</th>\n","      <th>SALE_CGRD_NM</th>\n","      <th>SALE_TRIM_NM</th>\n","      <th>SALE_ENG_NM</th>\n","      <th>CUS_ID</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>C98N3HQIS4G67</td>\n","      <td>20210302</td>\n","      <td>IG</td>\n","      <td>그랜저IG 자가용 하이브리드 PREMIUM A/T F/L</td>\n","      <td>승용</td>\n","      <td>대형</td>\n","      <td>PREMIUM</td>\n","      <td>하이브리드</td>\n","      <td>APW9ZIWDQQNYY8LK</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>C18MB8E9FEO8O</td>\n","      <td>20220117</td>\n","      <td>M5</td>\n","      <td>포터II 디젤 슈퍼캡 초장축 카고 스타일 매뉴얼 22MY</td>\n","      <td>소형상용</td>\n","      <td>소형트럭</td>\n","      <td>스타일</td>\n","      <td>디젤</td>\n","      <td>AGBCIS57DPHRRP9X</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>CXMMZDI2JRWCX</td>\n","      <td>20200511</td>\n","      <td>DN</td>\n","      <td>쏘나타DN8 20MY 자가용 가솔린 2.0 CVVL 프리미엄</td>\n","      <td>승용</td>\n","      <td>중형</td>\n","      <td>프리미엄 패밀리</td>\n","      <td>가솔린 2.0 CVVL</td>\n","      <td>A4W2GG6ZLMZ81DB3</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>C934SRCKF4H44</td>\n","      <td>20220104</td>\n","      <td>NX</td>\n","      <td>The all-new 투싼 하이브리드 인스퍼레이션 2WD A</td>\n","      <td>RV</td>\n","      <td>준중형SUV</td>\n","      <td>인스퍼레이션</td>\n","      <td>하이브리드</td>\n","      <td>ATHNS3F4766FKDW3</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>CU1BBNUEHOTDM</td>\n","      <td>20220210</td>\n","      <td>JJ</td>\n","      <td>The All new G80 가솔린 2.5T AWD 19인치</td>\n","      <td>승용</td>\n","      <td>대형</td>\n","      <td>19인치A SDS2</td>\n","      <td>가솔린 2.5T</td>\n","      <td>A8D7NHFKA3K83QH4</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-02b89f86-4987-4004-bf90-065ca07c21d7')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-02b89f86-4987-4004-bf90-065ca07c21d7 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-02b89f86-4987-4004-bf90-065ca07c21d7');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":5}]},{"cell_type":"code","source":["carinfo_df.rename(columns = {\n","    \"CAR_ID\":\"차량ID\",\n","    \"CNTT_DT\":\"계약일자\",\n","    \"VEHL_CD\":\"차종코드\",\n","    \"DOM_MDL_NM\":\"모델명\",\n","    \"PAC_SCN_NM\":\"승상구분명\",\n","    \"SALE_CGRD_NM\":\"판매차급명\",\n","    \"SALE_TRIM_NM\":\"판매트림명\",\n","    \"SALE_ENG_NM\":\"판매엔진명\",\n","    \"CUS_ID\":\"고객ID\",\n","}, inplace = True)\n","carinfo_df"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"id":"nFBHk1bGbCiY","executionInfo":{"status":"ok","timestamp":1666777521802,"user_tz":-540,"elapsed":391,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"6c8c564f-118d-4866-ba82-33de3c6b36fa"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                차량ID      계약일자 차종코드                                모델명 승상구분명  \\\n","0      C98N3HQIS4G67  20210302   IG    그랜저IG 자가용 하이브리드 PREMIUM A/T F/L    승용   \n","1      C18MB8E9FEO8O  20220117   M5    포터II 디젤 슈퍼캡 초장축 카고 스타일 매뉴얼 22MY  소형상용   \n","2      CXMMZDI2JRWCX  20200511   DN  쏘나타DN8 20MY 자가용 가솔린 2.0 CVVL 프리미엄    승용   \n","3      C934SRCKF4H44  20220104   NX  The all-new 투싼 하이브리드 인스퍼레이션 2WD A    RV   \n","4      CU1BBNUEHOTDM  20220210   JJ  The All new G80 가솔린 2.5T AWD 19인치    승용   \n","...              ...       ...  ...                                ...   ...   \n","72780  CF5XYYWGM4962  20111025   MD        아반떼MD 자가용 가솔린 1.6 A 오토 11MY    승용   \n","72781  C91VRA1RAE6EL  20160504   TL        투싼TL 디젤 1.7 Premium 2WD DCT    RV   \n","72782  COAFAA0KQ2F1N  20220203   NX  The all-new 투싼 하이브리드 프리미엄 2WD A/T    RV   \n","72783  COBZ4YAULMIMD  20100729   JA   G스타렉스 디젤 12인승 웨건 자가용 CVX 오토 11MY  소형상용   \n","72784  CVJ1K1B9RQCRP  20180213   AE          아이오닉 자가용 하이브리드 N DCT 17MY    승용   \n","\n","        판매차급명       판매트림명         판매엔진명              고객ID  \n","0          대형     PREMIUM         하이브리드  APW9ZIWDQQNYY8LK  \n","1        소형트럭         스타일            디젤  AGBCIS57DPHRRP9X  \n","2          중형    프리미엄 패밀리  가솔린 2.0 CVVL  A4W2GG6ZLMZ81DB3  \n","3      준중형SUV      인스퍼레이션         하이브리드  ATHNS3F4766FKDW3  \n","4          대형  19인치A SDS2      가솔린 2.5T  A8D7NHFKA3K83QH4  \n","...       ...         ...           ...               ...  \n","72780     준중형           A       가솔린 1.6  ACWSOYPRRWLHL2I1  \n","72781  준중형SUV     Premium        디젤 1.7  ACWSOYPRRWLHL2I1  \n","72782  준중형SUV        프리미엄         하이브리드  AF3D2H4N6PO5PY24  \n","72783    소형버스         CVX            디젤  APXWMUKE36MD8PX1  \n","72784     준중형           N         하이브리드  AMFQZP101GIOOERA  \n","\n","[72785 rows x 9 columns]"],"text/html":["\n","  <div id=\"df-9d4ed1fb-174e-4526-a1dd-ae79d0d7a4f9\">\n","    <div class=\"colab-df-container\">\n","      <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>차량ID</th>\n","      <th>계약일자</th>\n","      <th>차종코드</th>\n","      <th>모델명</th>\n","      <th>승상구분명</th>\n","      <th>판매차급명</th>\n","      <th>판매트림명</th>\n","      <th>판매엔진명</th>\n","      <th>고객ID</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>C98N3HQIS4G67</td>\n","      <td>20210302</td>\n","      <td>IG</td>\n","      <td>그랜저IG 자가용 하이브리드 PREMIUM A/T F/L</td>\n","      <td>승용</td>\n","      <td>대형</td>\n","      <td>PREMIUM</td>\n","      <td>하이브리드</td>\n","      <td>APW9ZIWDQQNYY8LK</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>C18MB8E9FEO8O</td>\n","      <td>20220117</td>\n","      <td>M5</td>\n","      <td>포터II 디젤 슈퍼캡 초장축 카고 스타일 매뉴얼 22MY</td>\n","      <td>소형상용</td>\n","      <td>소형트럭</td>\n","      <td>스타일</td>\n","      <td>디젤</td>\n","      <td>AGBCIS57DPHRRP9X</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>CXMMZDI2JRWCX</td>\n","      <td>20200511</td>\n","      <td>DN</td>\n","      <td>쏘나타DN8 20MY 자가용 가솔린 2.0 CVVL 프리미엄</td>\n","      <td>승용</td>\n","      <td>중형</td>\n","      <td>프리미엄 패밀리</td>\n","      <td>가솔린 2.0 CVVL</td>\n","      <td>A4W2GG6ZLMZ81DB3</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>C934SRCKF4H44</td>\n","      <td>20220104</td>\n","      <td>NX</td>\n","      <td>The all-new 투싼 하이브리드 인스퍼레이션 2WD A</td>\n","      <td>RV</td>\n","      <td>준중형SUV</td>\n","      <td>인스퍼레이션</td>\n","      <td>하이브리드</td>\n","      <td>ATHNS3F4766FKDW3</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>CU1BBNUEHOTDM</td>\n","      <td>20220210</td>\n","      <td>JJ</td>\n","      <td>The All new G80 가솔린 2.5T AWD 19인치</td>\n","      <td>승용</td>\n","      <td>대형</td>\n","      <td>19인치A SDS2</td>\n","      <td>가솔린 2.5T</td>\n","      <td>A8D7NHFKA3K83QH4</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","    </tr>\n","    <tr>\n","      <th>72780</th>\n","      <td>CF5XYYWGM4962</td>\n","      <td>20111025</td>\n","      <td>MD</td>\n","      <td>아반떼MD 자가용 가솔린 1.6 A 오토 11MY</td>\n","      <td>승용</td>\n","      <td>준중형</td>\n","      <td>A</td>\n","      <td>가솔린 1.6</td>\n","      <td>ACWSOYPRRWLHL2I1</td>\n","    </tr>\n","    <tr>\n","      <th>72781</th>\n","      <td>C91VRA1RAE6EL</td>\n","      <td>20160504</td>\n","      <td>TL</td>\n","      <td>투싼TL 디젤 1.7 Premium 2WD DCT</td>\n","      <td>RV</td>\n","      <td>준중형SUV</td>\n","      <td>Premium</td>\n","      <td>디젤 1.7</td>\n","      <td>ACWSOYPRRWLHL2I1</td>\n","    </tr>\n","    <tr>\n","      <th>72782</th>\n","      <td>COAFAA0KQ2F1N</td>\n","      <td>20220203</td>\n","      <td>NX</td>\n","      <td>The all-new 투싼 하이브리드 프리미엄 2WD A/T</td>\n","      <td>RV</td>\n","      <td>준중형SUV</td>\n","      <td>프리미엄</td>\n","      <td>하이브리드</td>\n","      <td>AF3D2H4N6PO5PY24</td>\n","    </tr>\n","    <tr>\n","      <th>72783</th>\n","      <td>COBZ4YAULMIMD</td>\n","      <td>20100729</td>\n","      <td>JA</td>\n","      <td>G스타렉스 디젤 12인승 웨건 자가용 CVX 오토 11MY</td>\n","      <td>소형상용</td>\n","      <td>소형버스</td>\n","      <td>CVX</td>\n","      <td>디젤</td>\n","      <td>APXWMUKE36MD8PX1</td>\n","    </tr>\n","    <tr>\n","      <th>72784</th>\n","      <td>CVJ1K1B9RQCRP</td>\n","      <td>20180213</td>\n","      <td>AE</td>\n","      <td>아이오닉 자가용 하이브리드 N DCT 17MY</td>\n","      <td>승용</td>\n","      <td>준중형</td>\n","      <td>N</td>\n","      <td>하이브리드</td>\n","      <td>AMFQZP101GIOOERA</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>72785 rows × 9 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9d4ed1fb-174e-4526-a1dd-ae79d0d7a4f9')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-9d4ed1fb-174e-4526-a1dd-ae79d0d7a4f9 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-9d4ed1fb-174e-4526-a1dd-ae79d0d7a4f9');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":6}]},{"cell_type":"code","source":["carinfo_df.isna().any()"],"metadata":{"id":"thHLefM8e9l4","executionInfo":{"status":"ok","timestamp":1666279508069,"user_tz":-540,"elapsed":504,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"efc7c744-bcf8-4474-9fed-bb100028bc01"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["차량ID     False\n","계약일자     False\n","차종코드     False\n","모델명      False\n","승상구분명    False\n","판매차급명    False\n","판매트림명     True\n","판매엔진명     True\n","고객ID     False\n","dtype: bool"]},"metadata":{},"execution_count":6}]},{"cell_type":"code","source":["carinfo_df.isnull().sum()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"8R2mDPU7Rcts","executionInfo":{"status":"ok","timestamp":1666279510239,"user_tz":-540,"elapsed":6,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"c9918c3d-28b6-4fc5-88fb-f459a1f72e3a"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["차량ID      0\n","계약일자      0\n","차종코드      0\n","모델명       0\n","승상구분명     0\n","판매차급명     0\n","판매트림명    11\n","판매엔진명    73\n","고객ID      0\n","dtype: int64"]},"metadata":{},"execution_count":7}]},{"cell_type":"code","source":["#데이터의 고유치 갯수\n","carinfo_df.nunique()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"tYFdzlEMy2Ef","executionInfo":{"status":"ok","timestamp":1666279512639,"user_tz":-540,"elapsed":4,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"fe688305-943b-4d45-8773-71102c321421"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["차량ID     72785\n","계약일자      3713\n","차종코드        59\n","모델명       2515\n","승상구분명        3\n","판매차급명       12\n","판매트림명      326\n","판매엔진명       79\n","고객ID     51397\n","dtype: int64"]},"metadata":{},"execution_count":8}]},{"cell_type":"code","source":["carinfo_df.info()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"5eCtUvQtomgv","executionInfo":{"status":"ok","timestamp":1666279516791,"user_tz":-540,"elapsed":401,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"6113fa25-27ce-4e4a-f747-ef5b1ee40b86"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 72785 entries, 0 to 72784\n","Data columns (total 9 columns):\n"," #   Column  Non-Null Count  Dtype \n","---  ------  --------------  ----- \n"," 0   차량ID    72785 non-null  object\n"," 1   계약일자    72785 non-null  int64 \n"," 2   차종코드    72785 non-null  object\n"," 3   모델명     72785 non-null  object\n"," 4   승상구분명   72785 non-null  object\n"," 5   판매차급명   72785 non-null  object\n"," 6   판매트림명   72774 non-null  object\n"," 7   판매엔진명   72712 non-null  object\n"," 8   고객ID    72785 non-null  object\n","dtypes: int64(1), object(8)\n","memory usage: 5.0+ MB\n"]}]},{"cell_type":"code","source":["import datetime\n","carinfo_df['계약일자'] = carinfo_df['계약일자'].astype('str')\n","carinfo_df['계약일자'] = carinfo_df['계약일자'].apply(lambda _ : datetime.datetime.strptime(_,'%Y%m%d'))"],"metadata":{"id":"pI-ae05graYi"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["carinfo_df"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"id":"2gLKmpufsNpd","executionInfo":{"status":"ok","timestamp":1666777528299,"user_tz":-540,"elapsed":8,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"01925766-1d50-4dc6-9fc0-47abc357f681"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                차량ID       계약일자 차종코드                                모델명 승상구분명  \\\n","0      C98N3HQIS4G67 2021-03-02   IG    그랜저IG 자가용 하이브리드 PREMIUM A/T F/L    승용   \n","1      C18MB8E9FEO8O 2022-01-17   M5    포터II 디젤 슈퍼캡 초장축 카고 스타일 매뉴얼 22MY  소형상용   \n","2      CXMMZDI2JRWCX 2020-05-11   DN  쏘나타DN8 20MY 자가용 가솔린 2.0 CVVL 프리미엄    승용   \n","3      C934SRCKF4H44 2022-01-04   NX  The all-new 투싼 하이브리드 인스퍼레이션 2WD A    RV   \n","4      CU1BBNUEHOTDM 2022-02-10   JJ  The All new G80 가솔린 2.5T AWD 19인치    승용   \n","...              ...        ...  ...                                ...   ...   \n","72780  CF5XYYWGM4962 2011-10-25   MD        아반떼MD 자가용 가솔린 1.6 A 오토 11MY    승용   \n","72781  C91VRA1RAE6EL 2016-05-04   TL        투싼TL 디젤 1.7 Premium 2WD DCT    RV   \n","72782  COAFAA0KQ2F1N 2022-02-03   NX  The all-new 투싼 하이브리드 프리미엄 2WD A/T    RV   \n","72783  COBZ4YAULMIMD 2010-07-29   JA   G스타렉스 디젤 12인승 웨건 자가용 CVX 오토 11MY  소형상용   \n","72784  CVJ1K1B9RQCRP 2018-02-13   AE          아이오닉 자가용 하이브리드 N DCT 17MY    승용   \n","\n","        판매차급명       판매트림명         판매엔진명              고객ID  \n","0          대형     PREMIUM         하이브리드  APW9ZIWDQQNYY8LK  \n","1        소형트럭         스타일            디젤  AGBCIS57DPHRRP9X  \n","2          중형    프리미엄 패밀리  가솔린 2.0 CVVL  A4W2GG6ZLMZ81DB3  \n","3      준중형SUV      인스퍼레이션         하이브리드  ATHNS3F4766FKDW3  \n","4          대형  19인치A SDS2      가솔린 2.5T  A8D7NHFKA3K83QH4  \n","...       ...         ...           ...               ...  \n","72780     준중형           A       가솔린 1.6  ACWSOYPRRWLHL2I1  \n","72781  준중형SUV     Premium        디젤 1.7  ACWSOYPRRWLHL2I1  \n","72782  준중형SUV        프리미엄         하이브리드  AF3D2H4N6PO5PY24  \n","72783    소형버스         CVX            디젤  APXWMUKE36MD8PX1  \n","72784     준중형           N         하이브리드  AMFQZP101GIOOERA  \n","\n","[72785 rows x 9 columns]"],"text/html":["\n","  <div id=\"df-13442c79-81bf-416f-88a6-e99f85291f3b\">\n","    <div class=\"colab-df-container\">\n","      <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>차량ID</th>\n","      <th>계약일자</th>\n","      <th>차종코드</th>\n","      <th>모델명</th>\n","      <th>승상구분명</th>\n","      <th>판매차급명</th>\n","      <th>판매트림명</th>\n","      <th>판매엔진명</th>\n","      <th>고객ID</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>C98N3HQIS4G67</td>\n","      <td>2021-03-02</td>\n","      <td>IG</td>\n","      <td>그랜저IG 자가용 하이브리드 PREMIUM A/T F/L</td>\n","      <td>승용</td>\n","      <td>대형</td>\n","      <td>PREMIUM</td>\n","      <td>하이브리드</td>\n","      <td>APW9ZIWDQQNYY8LK</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>C18MB8E9FEO8O</td>\n","      <td>2022-01-17</td>\n","      <td>M5</td>\n","      <td>포터II 디젤 슈퍼캡 초장축 카고 스타일 매뉴얼 22MY</td>\n","      <td>소형상용</td>\n","      <td>소형트럭</td>\n","      <td>스타일</td>\n","      <td>디젤</td>\n","      <td>AGBCIS57DPHRRP9X</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>CXMMZDI2JRWCX</td>\n","      <td>2020-05-11</td>\n","      <td>DN</td>\n","      <td>쏘나타DN8 20MY 자가용 가솔린 2.0 CVVL 프리미엄</td>\n","      <td>승용</td>\n","      <td>중형</td>\n","      <td>프리미엄 패밀리</td>\n","      <td>가솔린 2.0 CVVL</td>\n","      <td>A4W2GG6ZLMZ81DB3</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>C934SRCKF4H44</td>\n","      <td>2022-01-04</td>\n","      <td>NX</td>\n","      <td>The all-new 투싼 하이브리드 인스퍼레이션 2WD A</td>\n","      <td>RV</td>\n","      <td>준중형SUV</td>\n","      <td>인스퍼레이션</td>\n","      <td>하이브리드</td>\n","      <td>ATHNS3F4766FKDW3</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>CU1BBNUEHOTDM</td>\n","      <td>2022-02-10</td>\n","      <td>JJ</td>\n","      <td>The All new G80 가솔린 2.5T AWD 19인치</td>\n","      <td>승용</td>\n","      <td>대형</td>\n","      <td>19인치A SDS2</td>\n","      <td>가솔린 2.5T</td>\n","      <td>A8D7NHFKA3K83QH4</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","    </tr>\n","    <tr>\n","      <th>72780</th>\n","      <td>CF5XYYWGM4962</td>\n","      <td>2011-10-25</td>\n","      <td>MD</td>\n","      <td>아반떼MD 자가용 가솔린 1.6 A 오토 11MY</td>\n","      <td>승용</td>\n","      <td>준중형</td>\n","      <td>A</td>\n","      <td>가솔린 1.6</td>\n","      <td>ACWSOYPRRWLHL2I1</td>\n","    </tr>\n","    <tr>\n","      <th>72781</th>\n","      <td>C91VRA1RAE6EL</td>\n","      <td>2016-05-04</td>\n","      <td>TL</td>\n","      <td>투싼TL 디젤 1.7 Premium 2WD DCT</td>\n","      <td>RV</td>\n","      <td>준중형SUV</td>\n","      <td>Premium</td>\n","      <td>디젤 1.7</td>\n","      <td>ACWSOYPRRWLHL2I1</td>\n","    </tr>\n","    <tr>\n","      <th>72782</th>\n","      <td>COAFAA0KQ2F1N</td>\n","      <td>2022-02-03</td>\n","      <td>NX</td>\n","      <td>The all-new 투싼 하이브리드 프리미엄 2WD A/T</td>\n","      <td>RV</td>\n","      <td>준중형SUV</td>\n","      <td>프리미엄</td>\n","      <td>하이브리드</td>\n","      <td>AF3D2H4N6PO5PY24</td>\n","    </tr>\n","    <tr>\n","      <th>72783</th>\n","      <td>COBZ4YAULMIMD</td>\n","      <td>2010-07-29</td>\n","      <td>JA</td>\n","      <td>G스타렉스 디젤 12인승 웨건 자가용 CVX 오토 11MY</td>\n","      <td>소형상용</td>\n","      <td>소형버스</td>\n","      <td>CVX</td>\n","      <td>디젤</td>\n","      <td>APXWMUKE36MD8PX1</td>\n","    </tr>\n","    <tr>\n","      <th>72784</th>\n","      <td>CVJ1K1B9RQCRP</td>\n","      <td>2018-02-13</td>\n","      <td>AE</td>\n","      <td>아이오닉 자가용 하이브리드 N DCT 17MY</td>\n","      <td>승용</td>\n","      <td>준중형</td>\n","      <td>N</td>\n","      <td>하이브리드</td>\n","      <td>AMFQZP101GIOOERA</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>72785 rows × 9 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-13442c79-81bf-416f-88a6-e99f85291f3b')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-13442c79-81bf-416f-88a6-e99f85291f3b button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-13442c79-81bf-416f-88a6-e99f85291f3b');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":8}]},{"cell_type":"code","source":["#기간 보기 (2008/01 ~ 2022/06)\n","\n","set_of_year_month = list(set([(x.year, x.month) for x in carinfo_df['계약일자']])) #연도와 월정보를 가져온다.\n","for ym in sorted(set_of_year_month, key=lambda x: (x[0], x[1])): #연도와 월정보를 연도, 월 순으로 출력 \n","    print(f'{ym[0]}년 {ym[1]}월')"],"metadata":{"id":"fyEXkfhAi7CJ","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1666777540807,"user_tz":-540,"elapsed":901,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"07618a73-b4f8-488f-c703-cf594713fae1"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["2008년 1월\n","2008년 2월\n","2008년 3월\n","2008년 4월\n","2008년 5월\n","2008년 6월\n","2008년 7월\n","2008년 8월\n","2008년 9월\n","2008년 10월\n","2008년 11월\n","2008년 12월\n","2009년 1월\n","2009년 2월\n","2009년 3월\n","2009년 4월\n","2009년 5월\n","2009년 6월\n","2009년 7월\n","2009년 8월\n","2009년 9월\n","2009년 10월\n","2009년 11월\n","2009년 12월\n","2010년 1월\n","2010년 2월\n","2010년 3월\n","2010년 4월\n","2010년 5월\n","2010년 6월\n","2010년 7월\n","2010년 8월\n","2010년 9월\n","2010년 10월\n","2010년 11월\n","2010년 12월\n","2011년 1월\n","2011년 2월\n","2011년 3월\n","2011년 4월\n","2011년 5월\n","2011년 6월\n","2011년 7월\n","2011년 8월\n","2011년 9월\n","2011년 10월\n","2011년 11월\n","2011년 12월\n","2012년 1월\n","2012년 2월\n","2012년 3월\n","2012년 4월\n","2012년 5월\n","2012년 6월\n","2012년 7월\n","2012년 8월\n","2012년 9월\n","2012년 10월\n","2012년 11월\n","2012년 12월\n","2013년 1월\n","2013년 2월\n","2013년 3월\n","2013년 4월\n","2013년 5월\n","2013년 6월\n","2013년 7월\n","2013년 8월\n","2013년 9월\n","2013년 10월\n","2013년 11월\n","2013년 12월\n","2014년 1월\n","2014년 2월\n","2014년 3월\n","2014년 4월\n","2014년 5월\n","2014년 6월\n","2014년 7월\n","2014년 8월\n","2014년 9월\n","2014년 10월\n","2014년 11월\n","2014년 12월\n","2015년 1월\n","2015년 2월\n","2015년 3월\n","2015년 4월\n","2015년 5월\n","2015년 6월\n","2015년 7월\n","2015년 8월\n","2015년 9월\n","2015년 10월\n","2015년 11월\n","2015년 12월\n","2016년 1월\n","2016년 2월\n","2016년 3월\n","2016년 4월\n","2016년 5월\n","2016년 6월\n","2016년 7월\n","2016년 8월\n","2016년 9월\n","2016년 10월\n","2016년 11월\n","2016년 12월\n","2017년 1월\n","2017년 2월\n","2017년 3월\n","2017년 4월\n","2017년 5월\n","2017년 6월\n","2017년 7월\n","2017년 8월\n","2017년 9월\n","2017년 10월\n","2017년 11월\n","2017년 12월\n","2018년 1월\n","2018년 2월\n","2018년 3월\n","2018년 4월\n","2018년 5월\n","2018년 6월\n","2018년 7월\n","2018년 8월\n","2018년 9월\n","2018년 10월\n","2018년 11월\n","2018년 12월\n","2019년 1월\n","2019년 2월\n","2019년 3월\n","2019년 4월\n","2019년 5월\n","2019년 6월\n","2019년 7월\n","2019년 8월\n","2019년 9월\n","2019년 10월\n","2019년 11월\n","2019년 12월\n","2020년 1월\n","2020년 2월\n","2020년 3월\n","2020년 4월\n","2020년 5월\n","2020년 6월\n","2020년 7월\n","2020년 8월\n","2020년 9월\n","2020년 10월\n","2020년 11월\n","2020년 12월\n","2021년 1월\n","2021년 2월\n","2021년 3월\n","2021년 4월\n","2021년 5월\n","2021년 6월\n","2021년 7월\n","2021년 8월\n","2021년 9월\n","2021년 10월\n","2021년 11월\n","2021년 12월\n","2022년 1월\n","2022년 2월\n","2022년 3월\n","2022년 4월\n","2022년 5월\n","2022년 6월\n"]}]},{"cell_type":"code","source":["import matplotlib.pyplot as plt\n","import seaborn as sns\n","from collections import Counter\n"," \n","top_data = Counter(carinfo_df['고객ID']).most_common() ## 데이터 개수가 많은 순으로 출력\n","top_data = top_data[:10] ## 상위 10개만 저장\n","\n","data = [x[1] for x in top_data] ## 데이터 개수\n","cus = [x[0] for x in top_data] ## 고객\n"," \n","## 수평 바차트에서 데이터 개수와 고객을 맨위로 출력하기 위해서 리스트 순서를 바꿈\n","cus.reverse()\n","data.reverse()\n","\n","## 시각화\n","fig =plt.figure(figsize=(10,8))\n","\n","fig.set_facecolor('white') ## 캔버스 색깔\n","colors = sns.color_palette('hls',len(data)) ## color 생성\n","plt.yticks(fontsize=15) # y축 눈금 라벨 폰트사이즈 설정\n","plt.xticks(fontsize=12) # x축 눈금 라벨 폰트사이즈 설정\n","\n","plt.barh(cus, data, color=colors,alpha=0.6,edgecolor='k') ## 수평바차트 생성\n","plt.show()"],"metadata":{"id":"YCzj-1WZRcmn","colab":{"base_uri":"https://localhost:8080/","height":486},"executionInfo":{"status":"ok","timestamp":1666618381892,"user_tz":-540,"elapsed":2824,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"32c757d2-85b6-459c-83e9-6f51a294f360"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 720x576 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["top_data = Counter(carinfo_df['모델명']).most_common() ## 데이터 개수가 많은 순으로 출력\n","top_data = top_data[:10] ## 상위 5개만 저장\n"," \n","data = [x[1] for x in top_data] ## 데이터 개수\n","cus = [x[0] for x in top_data] ## 고객\n"," \n","## 수평 바차트에서 데이터 개수와 고객을 맨위로 출력하기 위해서 리스트 순서를 바꿈\n","cus.reverse()\n","data.reverse()\n","\n","## 시각화\n","fig =plt.figure(figsize=(10,8))\n","\n","fig.set_facecolor('white') ## 캔버스 색깔\n","colors = sns.color_palette('hls',len(data)) ## color 생성\n","plt.yticks(fontsize=15) # y축 눈금 라벨 폰트사이즈 설정\n","plt.xticks(fontsize=12) # x축 눈금 라벨 폰트사이즈 설정\n"," \n","plt.barh(cus, data, color=colors,alpha=0.6,edgecolor='k') ## 수평바차트 생성\n","plt.show()"],"metadata":{"id":"MCKqiVQO6DEi","colab":{"base_uri":"https://localhost:8080/","height":487},"executionInfo":{"status":"ok","timestamp":1666618854177,"user_tz":-540,"elapsed":2050,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"d3f2ff20-0d68-4f5a-f04e-436f72bfb27d"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 720x576 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["sns.set(font=\"AppleGothic\",\n","rc={\"axes.unicode_minus\":False}, style='white')\n","plt.rc('font', family='NanumBarunGothic')"],"metadata":{"id":"sukb1HiH3bAv"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["f,ax = plt.subplots(1,2,figsize=(20,10))\n","\n","# carinfo_df['승상구분명'].value_counts().plot.pie(explode=[0,0.1],autopct='%1.1f%%',ax=ax[0],shadow=True)\n","sns.countplot('승상구분명',data=carinfo_df, ax=ax[0])\n","ax[0].set_title('승상구분명')\n","\n","sns.countplot('판매차급명',data=carinfo_df, ax=ax[1])\n","ax[1].set_title('판매차급명')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":627},"id":"jGxa7TFcNTj6","executionInfo":{"status":"ok","timestamp":1666619174468,"user_tz":-540,"elapsed":1124,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"aa6184b8-d970-4bbb-996b-1173fe7c0834"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1440x720 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["f,ax = plt.subplots(1,3,figsize=(20,10))\n","\n","# carinfo_df['승상구분명'].value_counts().plot.pie(explode=[0,0.1],autopct='%1.1f%%',ax=ax[0],shadow=True)\n","sns.countplot('승상구분명',data=carinfo_df, ax=ax[0])\n","ax[0].set_title('승상구분명')\n","\n","sns.countplot('판매차급명',data=carinfo_df, ax=ax[1])\n","ax[1].set_title('판매차급명')\n","\n","sns.histplot(data=carinfo_df, x='계약일자',ax=ax[2])\n","ax[2].set_title('계약일자')\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":627},"id":"6m_DccvURC9a","executionInfo":{"status":"ok","timestamp":1666619642489,"user_tz":-540,"elapsed":2113,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"3b411668-93eb-47ed-bccc-4d46a8faf870"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1440x720 with 3 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["##cus EDA"],"metadata":{"id":"E0vx5xXMb9sy"}},{"cell_type":"code","source":["cus = pd.read_csv(filename2,encoding='cp949')\n","cus.head(3)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":143},"id":"O36dVFQHcQL3","executionInfo":{"status":"ok","timestamp":1666777563715,"user_tz":-540,"elapsed":336,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"36bd60c7-150d-4b70-b50b-159792738e29"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["             CUS_ID PSN_BIZR_YN    TYMD SEX_SCN_NM\n","0  AMR9MOP756HN28V9           N  1990.0         여자\n","1  AL2E2HLDMN50FN9E           N  1955.0         남자\n","2  APW9ZIWDQQNYY8LK           N  1992.0         남자"],"text/html":["\n","  <div id=\"df-8dce7ff5-5b9e-4b10-9c1c-76037db26169\">\n","    <div class=\"colab-df-container\">\n","      <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>CUS_ID</th>\n","      <th>PSN_BIZR_YN</th>\n","      <th>TYMD</th>\n","      <th>SEX_SCN_NM</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>AMR9MOP756HN28V9</td>\n","      <td>N</td>\n","      <td>1990.0</td>\n","      <td>여자</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>AL2E2HLDMN50FN9E</td>\n","      <td>N</td>\n","      <td>1955.0</td>\n","      <td>남자</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>APW9ZIWDQQNYY8LK</td>\n","      <td>N</td>\n","      <td>1992.0</td>\n","      <td>남자</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8dce7ff5-5b9e-4b10-9c1c-76037db26169')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-8dce7ff5-5b9e-4b10-9c1c-76037db26169 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-8dce7ff5-5b9e-4b10-9c1c-76037db26169');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":11}]},{"cell_type":"code","source":["cus.rename(columns = {\n","    \"CUS_ID\":\"고객ID\",\n","    \"PSN_BIZR_YN\":\"개인사업자여부\",\n","    \"TYMD\":\"생년\",\n","    \"SEX_SCN_NM\":\"성별구분명\",\n","}, inplace = True)\n","cus"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"id":"Qzc5_3Web-CO","executionInfo":{"status":"ok","timestamp":1666777564907,"user_tz":-540,"elapsed":443,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"95733589-dea7-4686-e609-2f5266e30ec8"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                   고객ID 개인사업자여부      생년 성별구분명\n","0      AMR9MOP756HN28V9       N  1990.0    여자\n","1      AL2E2HLDMN50FN9E       N  1955.0    남자\n","2      APW9ZIWDQQNYY8LK       N  1992.0    남자\n","3      AGBCIS57DPHRRP9X       N  1977.0    남자\n","4      A4W2GG6ZLMZ81DB3       N  1974.0    여자\n","...                 ...     ...     ...   ...\n","89575  AF3D2H4N6PO5PY24       N  1968.0    남자\n","89576  AQSF1UNGCVX5CVJH       N  1984.0    남자\n","89577  ARJA0WA3EEXVZQFW       N  1982.0    남자\n","89578  APXWMUKE36MD8PX1       N  1984.0    남자\n","89579  AMFQZP101GIOOERA       N  1980.0    남자\n","\n","[89580 rows x 4 columns]"],"text/html":["\n","  <div id=\"df-85b3c914-1b02-40ca-950e-eae84723b858\">\n","    <div class=\"colab-df-container\">\n","      <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>고객ID</th>\n","      <th>개인사업자여부</th>\n","      <th>생년</th>\n","      <th>성별구분명</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>AMR9MOP756HN28V9</td>\n","      <td>N</td>\n","      <td>1990.0</td>\n","      <td>여자</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>AL2E2HLDMN50FN9E</td>\n","      <td>N</td>\n","      <td>1955.0</td>\n","      <td>남자</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>APW9ZIWDQQNYY8LK</td>\n","      <td>N</td>\n","      <td>1992.0</td>\n","      <td>남자</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>AGBCIS57DPHRRP9X</td>\n","      <td>N</td>\n","      <td>1977.0</td>\n","      <td>남자</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>A4W2GG6ZLMZ81DB3</td>\n","      <td>N</td>\n","      <td>1974.0</td>\n","      <td>여자</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>89575</th>\n","      <td>AF3D2H4N6PO5PY24</td>\n","      <td>N</td>\n","      <td>1968.0</td>\n","      <td>남자</td>\n","    </tr>\n","    <tr>\n","      <th>89576</th>\n","      <td>AQSF1UNGCVX5CVJH</td>\n","      <td>N</td>\n","      <td>1984.0</td>\n","      <td>남자</td>\n","    </tr>\n","    <tr>\n","      <th>89577</th>\n","      <td>ARJA0WA3EEXVZQFW</td>\n","      <td>N</td>\n","      <td>1982.0</td>\n","      <td>남자</td>\n","    </tr>\n","    <tr>\n","      <th>89578</th>\n","      <td>APXWMUKE36MD8PX1</td>\n","      <td>N</td>\n","      <td>1984.0</td>\n","      <td>남자</td>\n","    </tr>\n","    <tr>\n","      <th>89579</th>\n","      <td>AMFQZP101GIOOERA</td>\n","      <td>N</td>\n","      <td>1980.0</td>\n","      <td>남자</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>89580 rows × 4 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-85b3c914-1b02-40ca-950e-eae84723b858')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-85b3c914-1b02-40ca-950e-eae84723b858 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-85b3c914-1b02-40ca-950e-eae84723b858');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":12}]},{"cell_type":"code","source":["f,ax=plt.subplots(1,2,figsize=(18,8))\n","\n","cus['성별구분명'].value_counts().plot.pie(explode=[0,0.1],autopct='%1.1f%%',ax=ax[0],shadow=True)\n","ax[0].set_title('성별')\n","ax[0].set_ylabel('')\n","\n","cus['개인사업자여부'].value_counts().plot.pie(explode=[0,0.1],autopct='%1.1f%%',ax=ax[1],shadow=True)\n","ax[1].set_title('개인사업자여부')\n","ax[1].set_ylabel('')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":499},"id":"xOG7trOmBMQe","executionInfo":{"status":"ok","timestamp":1666777582271,"user_tz":-540,"elapsed":622,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"60e9a597-c85a-4da1-9932-fe7527eb2138"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Text(0, 0.5, '')"]},"metadata":{},"execution_count":14},{"output_type":"display_data","data":{"text/plain":["<Figure size 1296x576 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["cus.nunique()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"xwn9apvCv3_J","executionInfo":{"status":"ok","timestamp":1665671345557,"user_tz":-540,"elapsed":4,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"dec7696c-1f30-4474-d0e8-2db153760357"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["고객ID       89580\n","개인사업자여부        2\n","생년            81\n","성별구분명          2\n","dtype: int64"]},"metadata":{},"execution_count":61}]},{"cell_type":"code","source":["top_data = Counter(cus['생년']).most_common() ## 데이터 개수가 많은 순으로 출력\n","top_data = top_data[:5] ## 상위 10개만 저장\n"," \n","data = [x[1] for x in top_data] ## 데이터 개수\n","cus = [x[0] for x in top_data] ## 고객\n","cus.reverse()\n","data.reverse()\n","\n","## 시각화\n","fig =plt.figure(figsize=(10,8))\n","\n","fig.set_facecolor('white') ## 캔버스 색깔\n","colors = sns.color_palette('hls',len(data)) ## color 생성\n","plt.yticks(fontsize=15) # y축 눈금 라벨 폰트사이즈 설정\n","plt.xticks(fontsize=12) # x축 눈금 라벨 폰트사이즈 설정\n"," \n","plt.barh(cus, data, color=colors,alpha=0.6,edgecolor='k') ## 수평바차트 생성\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":487},"id":"hkStfLldxBjX","executionInfo":{"status":"ok","timestamp":1666620630820,"user_tz":-540,"elapsed":1333,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"03d7c34f-195c-4834-ab0b-515c9435e4d2"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 720x576 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":[],"metadata":{"id":"6Jr9WpEcb-cJ"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["##inc EDA"],"metadata":{"id":"bhcce2-Vb-0k"}},{"cell_type":"code","source":["inc = pd.read_csv(filename3,encoding='cp949')"],"metadata":{"id":"svfcSnXgTYNS"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["inc.head(5)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"0zAyaWNycJAi","executionInfo":{"status":"ok","timestamp":1666623001580,"user_tz":-540,"elapsed":357,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"f7c401bd-c6b3-4a5c-d2de-25b81872a5db"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["             CUS_ID           CASE_ID              INP_DTM CHAN_SCN_NM  \\\n","0  AKZWMZWJ3HTYTOSS  BK69SK0W9NOEXIQU  2022-01-09 16:00:00       시승시스템   \n","1  AAMN599HM0XFRIRK  BCPT4WL1QHD8LK1M  2022-01-12 10:00:00       시승시스템   \n","2  AP8ERGN3MGXWD0W1  BUYAFEX9M7PATNIF  2022-01-09 18:41:28        현대닷컴   \n","3  ASIYQ5LM878U45P5  BVCR9MK9FIRXEUCL  2022-01-11 18:41:21      이벤트시스템   \n","4  A8KWVKZPITWG0PCO  BNQ8X4SUSC120MRF  2022-01-10 09:03:09   판매기회_상담완료   \n","\n","  CHAN_DTL_SCN_NM IRD_VEHL_CD  \n","0              시승          JW  \n","1              시승          QX  \n","2              견적          NX  \n","3          구매상담신청         NaN  \n","4            지속관리          JJ  "],"text/html":["\n","  <div id=\"df-694c56e6-0d1c-403d-9e88-3fd3ca90a7c4\">\n","    <div class=\"colab-df-container\">\n","      <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>CUS_ID</th>\n","      <th>CASE_ID</th>\n","      <th>INP_DTM</th>\n","      <th>CHAN_SCN_NM</th>\n","      <th>CHAN_DTL_SCN_NM</th>\n","      <th>IRD_VEHL_CD</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>AKZWMZWJ3HTYTOSS</td>\n","      <td>BK69SK0W9NOEXIQU</td>\n","      <td>2022-01-09 16:00:00</td>\n","      <td>시승시스템</td>\n","      <td>시승</td>\n","      <td>JW</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>AAMN599HM0XFRIRK</td>\n","      <td>BCPT4WL1QHD8LK1M</td>\n","      <td>2022-01-12 10:00:00</td>\n","      <td>시승시스템</td>\n","      <td>시승</td>\n","      <td>QX</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>AP8ERGN3MGXWD0W1</td>\n","      <td>BUYAFEX9M7PATNIF</td>\n","      <td>2022-01-09 18:41:28</td>\n","      <td>현대닷컴</td>\n","      <td>견적</td>\n","      <td>NX</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>ASIYQ5LM878U45P5</td>\n","      <td>BVCR9MK9FIRXEUCL</td>\n","      <td>2022-01-11 18:41:21</td>\n","      <td>이벤트시스템</td>\n","      <td>구매상담신청</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>A8KWVKZPITWG0PCO</td>\n","      <td>BNQ8X4SUSC120MRF</td>\n","      <td>2022-01-10 09:03:09</td>\n","      <td>판매기회_상담완료</td>\n","      <td>지속관리</td>\n","      <td>JJ</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-694c56e6-0d1c-403d-9e88-3fd3ca90a7c4')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-694c56e6-0d1c-403d-9e88-3fd3ca90a7c4 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-694c56e6-0d1c-403d-9e88-3fd3ca90a7c4');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":11}]},{"cell_type":"code","source":["inc.rename(columns = {\n","    \"CUS_ID\":\"고객ID\",\n","    \"CASE_ID\":\"접촉ID\",\n","    \"INP_DTM\":\"인입일시\",\n","    \"CHAN_SCN_NM\":\"채널구분명\",\n","    \"CHAN_DTL_SCN_NM\":\"채널상세구분명\",\n","    \"IRD_VEHL_CD\":\"관심차량\",\n","}, inplace = True)\n","inc"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"id":"bMDUPVA2cJer","executionInfo":{"status":"ok","timestamp":1666623003655,"user_tz":-540,"elapsed":313,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"e881a703-6047-4ea3-f83b-4c77a4c83d82"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                    고객ID              접촉ID                 인입일시      채널구분명  \\\n","0       AKZWMZWJ3HTYTOSS  BK69SK0W9NOEXIQU  2022-01-09 16:00:00      시승시스템   \n","1       AAMN599HM0XFRIRK  BCPT4WL1QHD8LK1M  2022-01-12 10:00:00      시승시스템   \n","2       AP8ERGN3MGXWD0W1  BUYAFEX9M7PATNIF  2022-01-09 18:41:28       현대닷컴   \n","3       ASIYQ5LM878U45P5  BVCR9MK9FIRXEUCL  2022-01-11 18:41:21     이벤트시스템   \n","4       A8KWVKZPITWG0PCO  BNQ8X4SUSC120MRF  2022-01-10 09:03:09  판매기회_상담완료   \n","...                  ...               ...                  ...        ...   \n","159166  AS7OEWKWHIAK2WZ1  BS94L650O9PWIXE1  2022-03-07 18:09:35  판매기회_상담완료   \n","159167  AVFD9EAOXP2BYXQY  BIL593DS4LTUT2JP  2022-02-03 10:23:16  판매기회_상담완료   \n","159168  AA9FVJGB2L5OG3IW  B26O6YSJL6XOIHIZ  2022-03-14 11:05:38  판매기회_상담완료   \n","159169  AIJ2KUXDXEV0VDUS  BXQDUBABH92L3XOQ  2022-05-09 10:04:17  판매기회_상담완료   \n","159170  AMJX3PS4HG70WXLA  BU3VXVVBH08FAOQM  2022-06-09 11:10:14  판매기회_상담완료   \n","\n","       채널상세구분명 관심차량  \n","0           시승   JW  \n","1           시승   QX  \n","2           견적   NX  \n","3       구매상담신청  NaN  \n","4         지속관리   JJ  \n","...        ...  ...  \n","159166    지속관리   NX  \n","159167    지속관리  NaN  \n","159168    지속관리   LC  \n","159169    지속관리  NaN  \n","159170    지속관리  NaN  \n","\n","[159171 rows x 6 columns]"],"text/html":["\n","  <div id=\"df-40e9dc4c-2bc1-44d5-88fa-4504c5e10b68\">\n","    <div class=\"colab-df-container\">\n","      <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>고객ID</th>\n","      <th>접촉ID</th>\n","      <th>인입일시</th>\n","      <th>채널구분명</th>\n","      <th>채널상세구분명</th>\n","      <th>관심차량</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>AKZWMZWJ3HTYTOSS</td>\n","      <td>BK69SK0W9NOEXIQU</td>\n","      <td>2022-01-09 16:00:00</td>\n","      <td>시승시스템</td>\n","      <td>시승</td>\n","      <td>JW</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>AAMN599HM0XFRIRK</td>\n","      <td>BCPT4WL1QHD8LK1M</td>\n","      <td>2022-01-12 10:00:00</td>\n","      <td>시승시스템</td>\n","      <td>시승</td>\n","      <td>QX</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>AP8ERGN3MGXWD0W1</td>\n","      <td>BUYAFEX9M7PATNIF</td>\n","      <td>2022-01-09 18:41:28</td>\n","      <td>현대닷컴</td>\n","      <td>견적</td>\n","      <td>NX</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>ASIYQ5LM878U45P5</td>\n","      <td>BVCR9MK9FIRXEUCL</td>\n","      <td>2022-01-11 18:41:21</td>\n","      <td>이벤트시스템</td>\n","      <td>구매상담신청</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>A8KWVKZPITWG0PCO</td>\n","      <td>BNQ8X4SUSC120MRF</td>\n","      <td>2022-01-10 09:03:09</td>\n","      <td>판매기회_상담완료</td>\n","      <td>지속관리</td>\n","      <td>JJ</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","    </tr>\n","    <tr>\n","      <th>159166</th>\n","      <td>AS7OEWKWHIAK2WZ1</td>\n","      <td>BS94L650O9PWIXE1</td>\n","      <td>2022-03-07 18:09:35</td>\n","      <td>판매기회_상담완료</td>\n","      <td>지속관리</td>\n","      <td>NX</td>\n","    </tr>\n","    <tr>\n","      <th>159167</th>\n","      <td>AVFD9EAOXP2BYXQY</td>\n","      <td>BIL593DS4LTUT2JP</td>\n","      <td>2022-02-03 10:23:16</td>\n","      <td>판매기회_상담완료</td>\n","      <td>지속관리</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>159168</th>\n","      <td>AA9FVJGB2L5OG3IW</td>\n","      <td>B26O6YSJL6XOIHIZ</td>\n","      <td>2022-03-14 11:05:38</td>\n","      <td>판매기회_상담완료</td>\n","      <td>지속관리</td>\n","      <td>LC</td>\n","    </tr>\n","    <tr>\n","      <th>159169</th>\n","      <td>AIJ2KUXDXEV0VDUS</td>\n","      <td>BXQDUBABH92L3XOQ</td>\n","      <td>2022-05-09 10:04:17</td>\n","      <td>판매기회_상담완료</td>\n","      <td>지속관리</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>159170</th>\n","      <td>AMJX3PS4HG70WXLA</td>\n","      <td>BU3VXVVBH08FAOQM</td>\n","      <td>2022-06-09 11:10:14</td>\n","      <td>판매기회_상담완료</td>\n","      <td>지속관리</td>\n","      <td>NaN</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>159171 rows × 6 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-40e9dc4c-2bc1-44d5-88fa-4504c5e10b68')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-40e9dc4c-2bc1-44d5-88fa-4504c5e10b68 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-40e9dc4c-2bc1-44d5-88fa-4504c5e10b68');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":12}]},{"cell_type":"code","source":["inc_1 = inc[['고객ID','채널구분명','채널상세구분명','관심차량']]"],"metadata":{"id":"iKEJ4RLeeoGn"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["inc_1"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"id":"_480LzoBe0Tr","executionInfo":{"status":"ok","timestamp":1666623166084,"user_tz":-540,"elapsed":407,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"39ad7529-b84e-4353-a81e-694326b55b16"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                    고객ID      채널구분명 채널상세구분명 관심차량\n","0       AKZWMZWJ3HTYTOSS      시승시스템      시승   JW\n","1       AAMN599HM0XFRIRK      시승시스템      시승   QX\n","2       AP8ERGN3MGXWD0W1       현대닷컴      견적   NX\n","3       ASIYQ5LM878U45P5     이벤트시스템  구매상담신청  NaN\n","4       A8KWVKZPITWG0PCO  판매기회_상담완료    지속관리   JJ\n","...                  ...        ...     ...  ...\n","159166  AS7OEWKWHIAK2WZ1  판매기회_상담완료    지속관리   NX\n","159167  AVFD9EAOXP2BYXQY  판매기회_상담완료    지속관리  NaN\n","159168  AA9FVJGB2L5OG3IW  판매기회_상담완료    지속관리   LC\n","159169  AIJ2KUXDXEV0VDUS  판매기회_상담완료    지속관리  NaN\n","159170  AMJX3PS4HG70WXLA  판매기회_상담완료    지속관리  NaN\n","\n","[159171 rows x 4 columns]"],"text/html":["\n","  <div id=\"df-b0ffa929-4271-41d0-903c-34dc6047c8c6\">\n","    <div class=\"colab-df-container\">\n","      <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>고객ID</th>\n","      <th>채널구분명</th>\n","      <th>채널상세구분명</th>\n","      <th>관심차량</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>AKZWMZWJ3HTYTOSS</td>\n","      <td>시승시스템</td>\n","      <td>시승</td>\n","      <td>JW</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>AAMN599HM0XFRIRK</td>\n","      <td>시승시스템</td>\n","      <td>시승</td>\n","      <td>QX</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>AP8ERGN3MGXWD0W1</td>\n","      <td>현대닷컴</td>\n","      <td>견적</td>\n","      <td>NX</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>ASIYQ5LM878U45P5</td>\n","      <td>이벤트시스템</td>\n","      <td>구매상담신청</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>A8KWVKZPITWG0PCO</td>\n","      <td>판매기회_상담완료</td>\n","      <td>지속관리</td>\n","      <td>JJ</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>159166</th>\n","      <td>AS7OEWKWHIAK2WZ1</td>\n","      <td>판매기회_상담완료</td>\n","      <td>지속관리</td>\n","      <td>NX</td>\n","    </tr>\n","    <tr>\n","      <th>159167</th>\n","      <td>AVFD9EAOXP2BYXQY</td>\n","      <td>판매기회_상담완료</td>\n","      <td>지속관리</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>159168</th>\n","      <td>AA9FVJGB2L5OG3IW</td>\n","      <td>판매기회_상담완료</td>\n","      <td>지속관리</td>\n","      <td>LC</td>\n","    </tr>\n","    <tr>\n","      <th>159169</th>\n","      <td>AIJ2KUXDXEV0VDUS</td>\n","      <td>판매기회_상담완료</td>\n","      <td>지속관리</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>159170</th>\n","      <td>AMJX3PS4HG70WXLA</td>\n","      <td>판매기회_상담완료</td>\n","      <td>지속관리</td>\n","      <td>NaN</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>159171 rows × 4 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b0ffa929-4271-41d0-903c-34dc6047c8c6')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-b0ffa929-4271-41d0-903c-34dc6047c8c6 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-b0ffa929-4271-41d0-903c-34dc6047c8c6');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":18}]},{"cell_type":"code","source":["inc.nunique()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"j7_SxWbVSF8E","executionInfo":{"status":"ok","timestamp":1666620190223,"user_tz":-540,"elapsed":946,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"6033d097-b9fe-44af-b371-a0435f1a28d1"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["고객ID        94367\n","접촉ID       142059\n","인입일시       101831\n","채널구분명           6\n","채널상세구분명         9\n","관심차량           34\n","dtype: int64"]},"metadata":{},"execution_count":52}]},{"cell_type":"code","source":["f,ax=plt.subplots(1,2,figsize=(25,15))\n","\n","sns.countplot('채널상세구분명',data=inc, ax=ax[0])\n","ax[0].set_title('채널상세구분명')\n","\n","sns.countplot('관심차량',data=inc, ax=ax[1])\n","ax[1].set_title('관심차량')\n","plt.show()"],"metadata":{"id":"nldd6ak1cJai","colab":{"base_uri":"https://localhost:8080/","height":810},"executionInfo":{"status":"ok","timestamp":1666620517109,"user_tz":-540,"elapsed":1531,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"660eb645-8c0c-407d-e18d-fd3dbec58ecf"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1800x1080 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["f,ax=plt.subplots(1,2,figsize=(25,15))\n","\n","sns.countplot('채널구분명',data=inc, ax=ax[0])\n","ax[0].set_title('채널구분명')\n","\n","sns.countplot('채널상세구분명',data=inc, ax=ax[1])\n","ax[1].set_title('채널상세구분명')\n","plt.show()"],"metadata":{"id":"etMmJUWNkcm_","colab":{"base_uri":"https://localhost:8080/","height":810},"executionInfo":{"status":"ok","timestamp":1666623186559,"user_tz":-540,"elapsed":1320,"user":{"displayName":"김민섭","userId":"03753204933516620337"}},"outputId":"7effeefa-9221-4833-fea7-e144ddd6ddd2"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1800x1080 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]}]}
\ No newline at end of file