PM_accident.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "\n",
    "from matplotlib import font_manager, rc\n",
    "font_path = \"data/THEdog.ttf\"   #폰트파일의 위치\n",
    "font_name = font_manager.FontProperties(fname=font_path).get_name()\n",
    "rc('font', family=font_name)\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "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>사고번호</th>\n",
       "      <th>사고일시</th>\n",
       "      <th>요일</th>\n",
       "      <th>시군구</th>\n",
       "      <th>사고내용</th>\n",
       "      <th>사망자수</th>\n",
       "      <th>중상자수</th>\n",
       "      <th>경상자수</th>\n",
       "      <th>부상신고자수</th>\n",
       "      <th>사고유형</th>\n",
       "      <th>...</th>\n",
       "      <th>기상상태</th>\n",
       "      <th>도로형태</th>\n",
       "      <th>가해운전자 차종</th>\n",
       "      <th>가해운전자 성별</th>\n",
       "      <th>가해운전자 연령</th>\n",
       "      <th>가해운전자 상해정도</th>\n",
       "      <th>피해운전자 차종</th>\n",
       "      <th>피해운전자 성별</th>\n",
       "      <th>피해운전자 연령</th>\n",
       "      <th>피해운전자 상해정도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017070700100195</td>\n",
       "      <td>2017년 7월 7일 10시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>강원도 양구군 남면</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>차량단독 - 전도전복 - 전복</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>73세</td>\n",
       "      <td>중상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017092100100543</td>\n",
       "      <td>2017년 9월 21일 18시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>강원도 춘천시 후평동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>45세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>58세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017100300100290</td>\n",
       "      <td>2017년 10월 3일 17시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>강원도 양양군 강현면</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>67세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>29세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017110200100283</td>\n",
       "      <td>2017년 11월 2일 14시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>강원도 춘천시 동면</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차량단독 - 기타</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>33세</td>\n",
       "      <td>경상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017111300100042</td>\n",
       "      <td>2017년 11월 13일 02시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>강원도 춘천시 우두동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>차량단독 - 전도전복</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>39세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2019080900100080</td>\n",
       "      <td>2019년 8월 9일 04시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>강원도 춘천시 효자동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>차량단독 - 전도전복 - 전도</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>42세</td>\n",
       "      <td>중상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2019081000100632</td>\n",
       "      <td>2019년 8월 10일 21시</td>\n",
       "      <td>토요일</td>\n",
       "      <td>강원도 원주시 우산동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대사람 - 횡단중</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>54세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>남</td>\n",
       "      <td>29세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2019082500100361</td>\n",
       "      <td>2019년 8월 25일 17시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>강원도 동해시 이도동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차량단독 - 기타</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로부근</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>18세</td>\n",
       "      <td>경상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2019083100100330</td>\n",
       "      <td>2019년 8월 31일 12시</td>\n",
       "      <td>토요일</td>\n",
       "      <td>강원도 춘천시 효자동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>차대사람 - 보도통행중</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>24세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>여</td>\n",
       "      <td>79세</td>\n",
       "      <td>중상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2019092600100224</td>\n",
       "      <td>2019년 9월 26일 11시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>강원도 춘천시 중앙로3가</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대사람 - 기타</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>33세</td>\n",
       "      <td>경상</td>\n",
       "      <td>보행자</td>\n",
       "      <td>남</td>\n",
       "      <td>90세 이상</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2019102500100098</td>\n",
       "      <td>2019년 10월 25일 06시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>강원도 원주시 행구동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 추돌</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>61세</td>\n",
       "      <td>중상</td>\n",
       "      <td>특수</td>\n",
       "      <td>남</td>\n",
       "      <td>54세</td>\n",
       "      <td>기타불명</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                사고번호               사고일시   요일            시군구    사고내용  사망자수  \\\n",
       "0   2017070700100195    2017년 7월 7일 10시  금요일     강원도 양구군 남면    중상사고     0   \n",
       "1   2017092100100543   2017년 9월 21일 18시  목요일    강원도 춘천시 후평동    경상사고     0   \n",
       "2   2017100300100290   2017년 10월 3일 17시  화요일    강원도 양양군 강현면    경상사고     0   \n",
       "3   2017110200100283   2017년 11월 2일 14시  목요일     강원도 춘천시 동면    경상사고     0   \n",
       "4   2017111300100042  2017년 11월 13일 02시  월요일    강원도 춘천시 우두동  부상신고사고     0   \n",
       "5   2019080900100080    2019년 8월 9일 04시  금요일    강원도 춘천시 효자동    중상사고     0   \n",
       "6   2019081000100632   2019년 8월 10일 21시  토요일    강원도 원주시 우산동    경상사고     0   \n",
       "7   2019082500100361   2019년 8월 25일 17시  일요일    강원도 동해시 이도동    경상사고     0   \n",
       "8   2019083100100330   2019년 8월 31일 12시  토요일    강원도 춘천시 효자동    중상사고     0   \n",
       "9   2019092600100224   2019년 9월 26일 11시  목요일  강원도 춘천시 중앙로3가    경상사고     0   \n",
       "10  2019102500100098  2019년 10월 25일 06시  금요일    강원도 원주시 행구동    중상사고     0   \n",
       "\n",
       "    중상자수  경상자수  부상신고자수              사고유형  ... 기상상태         도로형태     가해운전자 차종  \\\n",
       "0      1     0       0  차량단독 - 전도전복 - 전복  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "1      0     1       0        차대차 - 측면충돌  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "2      0     3       0        차대차 - 측면충돌  ...   맑음   교차로 - 교차로안  개인형이동수단(PM)   \n",
       "3      0     1       0         차량단독 - 기타  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "4      0     0       1       차량단독 - 전도전복  ...   맑음   교차로 - 교차로안  개인형이동수단(PM)   \n",
       "5      1     0       0  차량단독 - 전도전복 - 전도  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "6      0     1       0        차대사람 - 횡단중  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "7      0     1       0         차량단독 - 기타  ...   맑음  교차로 - 교차로부근  개인형이동수단(PM)   \n",
       "8      1     0       0      차대사람 - 보도통행중  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "9      0     1       0         차대사람 - 기타  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "10     1     0       0          차대차 - 추돌  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "\n",
       "   가해운전자 성별 가해운전자 연령 가해운전자 상해정도 피해운전자 차종 피해운전자 성별 피해운전자 연령 피해운전자 상해정도  \n",
       "0         여      73세         중상      NaN      NaN      NaN        NaN  \n",
       "1         남      45세         경상       승용        여      58세       상해없음  \n",
       "2         남      67세       상해없음       승용        여      29세         경상  \n",
       "3         남      33세         경상      NaN      NaN      NaN        NaN  \n",
       "4         남      39세       부상신고      미분류      미분류      미분류        미분류  \n",
       "5         남      42세         중상      NaN      NaN      NaN        NaN  \n",
       "6         남      54세       상해없음      보행자        남      29세         경상  \n",
       "7         남      18세         경상      NaN      NaN      NaN        NaN  \n",
       "8         남      24세       상해없음      보행자        여      79세         중상  \n",
       "9         여      33세         경상      보행자        남   90세 이상       상해없음  \n",
       "10        남      61세         중상       특수        남      54세       기타불명  \n",
       "\n",
       "[11 rows x 22 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "강원PM = pd.read_excel(\"data/교통사고 데이터/2017-2019년 강원도 PM 교통사고정보.xlsx\")\n",
    "강원PM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>사고번호</th>\n",
       "      <th>사고일시</th>\n",
       "      <th>요일</th>\n",
       "      <th>시군구</th>\n",
       "      <th>사고내용</th>\n",
       "      <th>사망자수</th>\n",
       "      <th>중상자수</th>\n",
       "      <th>경상자수</th>\n",
       "      <th>부상신고자수</th>\n",
       "      <th>사고유형</th>\n",
       "      <th>...</th>\n",
       "      <th>기상상태</th>\n",
       "      <th>도로형태</th>\n",
       "      <th>가해운전자 차종</th>\n",
       "      <th>가해운전자 성별</th>\n",
       "      <th>가해운전자 연령</th>\n",
       "      <th>가해운전자 상해정도</th>\n",
       "      <th>피해운전자 차종</th>\n",
       "      <th>피해운전자 성별</th>\n",
       "      <th>피해운전자 연령</th>\n",
       "      <th>피해운전자 상해정도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017022500100119</td>\n",
       "      <td>2017년 2월 25일 06시</td>\n",
       "      <td>토요일</td>\n",
       "      <td>경기도 용인시 기흥구 보정동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>차량단독 - 전도전복</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>22세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017030100100243</td>\n",
       "      <td>2017년 3월 1일 15시</td>\n",
       "      <td>수요일</td>\n",
       "      <td>경기도 수원시 영통구 하동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>기타 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>90세 이상</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>자전거</td>\n",
       "      <td>남</td>\n",
       "      <td>13세</td>\n",
       "      <td>부상신고</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017051100100465</td>\n",
       "      <td>2017년 5월 11일 19시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>경기도 광명시 노온사동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>차량단독 - 전도전복</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>53세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017051800100131</td>\n",
       "      <td>2017년 5월 18일 08시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>경기도 성남시 중원구 성남동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대사람 - 횡단중</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>22세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>여</td>\n",
       "      <td>16세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017053100100425</td>\n",
       "      <td>2017년 5월 31일 18시</td>\n",
       "      <td>수요일</td>\n",
       "      <td>경기도 안산시 단원구 고잔동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>차대사람 - 횡단중</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>22세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>보행자</td>\n",
       "      <td>여</td>\n",
       "      <td>61세</td>\n",
       "      <td>중상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>2019121800100053</td>\n",
       "      <td>2019년 12월 18일 02시</td>\n",
       "      <td>수요일</td>\n",
       "      <td>경기도 수원시 팔달구 인계동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차량단독 - 기타</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>41세</td>\n",
       "      <td>경상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>2019121800100470</td>\n",
       "      <td>2019년 12월 18일 18시</td>\n",
       "      <td>수요일</td>\n",
       "      <td>경기도 의정부시 민락동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>39세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>43세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>2019121900100111</td>\n",
       "      <td>2019년 12월 19일 07시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>경기도 안산시 단원구 고잔동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차량단독 - 기타</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>48세</td>\n",
       "      <td>경상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>2019122700100248</td>\n",
       "      <td>2019년 12월 27일 12시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>경기도 이천시 장호원읍</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>70세</td>\n",
       "      <td>중상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>28세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>2019122800100068</td>\n",
       "      <td>2019년 12월 28일 01시</td>\n",
       "      <td>토요일</td>\n",
       "      <td>경기도 고양시 일산동구 성석동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>차량단독 - 기타</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>54세</td>\n",
       "      <td>중상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>208 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 사고번호               사고일시   요일               시군구    사고내용  사망자수  \\\n",
       "0    2017022500100119   2017년 2월 25일 06시  토요일   경기도 용인시 기흥구 보정동    중상사고     0   \n",
       "1    2017030100100243    2017년 3월 1일 15시  수요일    경기도 수원시 영통구 하동  부상신고사고     0   \n",
       "2    2017051100100465   2017년 5월 11일 19시  목요일      경기도 광명시 노온사동  부상신고사고     0   \n",
       "3    2017051800100131   2017년 5월 18일 08시  목요일   경기도 성남시 중원구 성남동    경상사고     0   \n",
       "4    2017053100100425   2017년 5월 31일 18시  수요일   경기도 안산시 단원구 고잔동    중상사고     0   \n",
       "..                ...                ...  ...               ...     ...   ...   \n",
       "203  2019121800100053  2019년 12월 18일 02시  수요일   경기도 수원시 팔달구 인계동    경상사고     0   \n",
       "204  2019121800100470  2019년 12월 18일 18시  수요일      경기도 의정부시 민락동    경상사고     0   \n",
       "205  2019121900100111  2019년 12월 19일 07시  목요일   경기도 안산시 단원구 고잔동    경상사고     0   \n",
       "206  2019122700100248  2019년 12월 27일 12시  금요일      경기도 이천시 장호원읍    중상사고     0   \n",
       "207  2019122800100068  2019년 12월 28일 01시  토요일  경기도 고양시 일산동구 성석동    중상사고     0   \n",
       "\n",
       "     중상자수  경상자수  부상신고자수         사고유형  ... 기상상태      도로형태     가해운전자 차종  \\\n",
       "0       1     0       0  차량단독 - 전도전복  ...   맑음  단일로 - 기타  개인형이동수단(PM)   \n",
       "1       0     0       1     차대차 - 기타  ...   맑음   기타 - 기타  개인형이동수단(PM)   \n",
       "2       0     0       1  차량단독 - 전도전복  ...   맑음  단일로 - 기타  개인형이동수단(PM)   \n",
       "3       0     1       0   차대사람 - 횡단중  ...   맑음  단일로 - 기타  개인형이동수단(PM)   \n",
       "4       1     0       0   차대사람 - 횡단중  ...   맑음  단일로 - 기타  개인형이동수단(PM)   \n",
       "..    ...   ...     ...          ...  ...  ...       ...          ...   \n",
       "203     0     1       0    차량단독 - 기타  ...   맑음  단일로 - 기타  개인형이동수단(PM)   \n",
       "204     0     1       0   차대차 - 측면충돌  ...   맑음  단일로 - 기타  개인형이동수단(PM)   \n",
       "205     0     1       0    차량단독 - 기타  ...   맑음  단일로 - 기타  개인형이동수단(PM)   \n",
       "206     1     0       0   차대차 - 측면충돌  ...   맑음  단일로 - 기타  개인형이동수단(PM)   \n",
       "207     1     0       0    차량단독 - 기타  ...   맑음  단일로 - 기타  개인형이동수단(PM)   \n",
       "\n",
       "    가해운전자 성별 가해운전자 연령 가해운전자 상해정도 피해운전자 차종 피해운전자 성별 피해운전자 연령 피해운전자 상해정도  \n",
       "0          남      22세       상해없음      미분류      미분류      미분류        미분류  \n",
       "1          남   90세 이상       상해없음      자전거        남      13세       부상신고  \n",
       "2          남      53세       부상신고      미분류      미분류      미분류        미분류  \n",
       "3          남      22세       상해없음      보행자        여      16세         경상  \n",
       "4          여      22세       상해없음      보행자        여      61세         중상  \n",
       "..       ...      ...        ...      ...      ...      ...        ...  \n",
       "203        남      41세         경상      NaN      NaN      NaN        NaN  \n",
       "204        남      39세         경상       승용        여      43세       상해없음  \n",
       "205        남      48세         경상      NaN      NaN      NaN        NaN  \n",
       "206        남      70세         중상       승용        남      28세       상해없음  \n",
       "207        남      54세         중상      NaN      NaN      NaN        NaN  \n",
       "\n",
       "[208 rows x 22 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "경기PM = pd.read_excel(\"data/교통사고 데이터/2017-2019년 경기도 PM 교통사고정보.xlsx\")\n",
    "경기PM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "경남PM = pd.read_excel(\"data/교통사고 데이터/2017-2019년 경상남도 PM 교통사고정보.xlsx\")\n",
    "경북PM = pd.read_excel(\"data/교통사고 데이터/2017-2019년 경상북도 PM 교통사고정보.xlsx\")\n",
    "광주PM = pd.read_excel(\"data/교통사고 데이터/2017-2019년 광주광역시 PM 교통사고정보.xlsx\")\n",
    "대구PM = pd.read_excel(\"data/교통사고 데이터/2017-2019년 대구광역시 PM 교통사고정보.xlsx\")\n",
    "대전PM = pd.read_excel(\"data/교통사고 데이터/2017-2019년 대전광역시 PM 교통사고정보.xlsx\")\n",
    "부산PM = pd.read_excel(\"data/교통사고 데이터/2017-2019년 부산광역시 PM 교통사고정보.xlsx\")\n",
    "서울PM = pd.read_excel(\"data/교통사고 데이터/2017-2019년 서울시 PM 교통사고정보.xlsx\")\n",
    "세종PM = pd.read_excel(\"data/교통사고 데이터/2017-2019년 세종특별시 PM 교통사고정보.xlsx\")\n",
    "울산PM = pd.read_excel(\"data/교통사고 데이터/2017-2019년 울산광역시 PM 교통사고정보.xlsx\")\n",
    "인천PM = pd.read_excel(\"data/교통사고 데이터/2017-2019년 인천광역시 PM 교통사고정보.xlsx\")\n",
    "전남PM = pd.read_excel(\"data/교통사고 데이터/2017-2019년 전라남도 PM 교통사고정보.xlsx\")\n",
    "전북PM = pd.read_excel(\"data/교통사고 데이터/2017-2019년 전라북도 PM 교통사고정보.xlsx\")\n",
    "제주PM = pd.read_excel(\"data/교통사고 데이터/2017-2019년 제주도 PM 교통사고정보.xlsx\")\n",
    "충남PM = pd.read_excel(\"data/교통사고 데이터/2017-2019년 충청남도 PM 교통사고정보.xlsx\")\n",
    "충북PM = pd.read_excel(\"data/교통사고 데이터/2017-2019년 충청북도 PM 교통사고정보.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>사고번호</th>\n",
       "      <th>사고일시</th>\n",
       "      <th>요일</th>\n",
       "      <th>시군구</th>\n",
       "      <th>사고내용</th>\n",
       "      <th>사망자수</th>\n",
       "      <th>중상자수</th>\n",
       "      <th>경상자수</th>\n",
       "      <th>부상신고자수</th>\n",
       "      <th>사고유형</th>\n",
       "      <th>...</th>\n",
       "      <th>기상상태</th>\n",
       "      <th>도로형태</th>\n",
       "      <th>가해운전자 차종</th>\n",
       "      <th>가해운전자 성별</th>\n",
       "      <th>가해운전자 연령</th>\n",
       "      <th>가해운전자 상해정도</th>\n",
       "      <th>피해운전자 차종</th>\n",
       "      <th>피해운전자 성별</th>\n",
       "      <th>피해운전자 연령</th>\n",
       "      <th>피해운전자 상해정도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017070700100195</td>\n",
       "      <td>2017년 7월 7일 10시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>강원도 양구군 남면</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>차량단독 - 전도전복 - 전복</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>73세</td>\n",
       "      <td>중상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017092100100543</td>\n",
       "      <td>2017년 9월 21일 18시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>강원도 춘천시 후평동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>45세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>58세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017100300100290</td>\n",
       "      <td>2017년 10월 3일 17시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>강원도 양양군 강현면</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>67세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>29세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017110200100283</td>\n",
       "      <td>2017년 11월 2일 14시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>강원도 춘천시 동면</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차량단독 - 기타</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>33세</td>\n",
       "      <td>경상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017111300100042</td>\n",
       "      <td>2017년 11월 13일 02시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>강원도 춘천시 우두동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>차량단독 - 전도전복</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>39세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2019102800100095</td>\n",
       "      <td>2019년 10월 28일 07시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>충청북도 청주시 상당구 용암동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>58세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>23세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2019110100100225</td>\n",
       "      <td>2019년 11월 1일 09시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>충청북도 청주시 서원구 사직동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로부근</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>22세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>39세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2019112800100586</td>\n",
       "      <td>2019년 11월 28일 19시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>충청북도 청주시 상당구 용암동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>주차장 - 주차장</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>60세</td>\n",
       "      <td>경상</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>38세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2019121700100580</td>\n",
       "      <td>2019년 12월 17일 21시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>충청북도 청주시 흥덕구 비하동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>36세</td>\n",
       "      <td>경상</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>46세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2019122200100324</td>\n",
       "      <td>2019년 12월 22일 16시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>충청북도 청주시 흥덕구 향정동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>40세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>59세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>789 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                사고번호               사고일시   요일               시군구    사고내용  사망자수  \\\n",
       "0   2017070700100195    2017년 7월 7일 10시  금요일        강원도 양구군 남면    중상사고     0   \n",
       "1   2017092100100543   2017년 9월 21일 18시  목요일       강원도 춘천시 후평동    경상사고     0   \n",
       "2   2017100300100290   2017년 10월 3일 17시  화요일       강원도 양양군 강현면    경상사고     0   \n",
       "3   2017110200100283   2017년 11월 2일 14시  목요일        강원도 춘천시 동면    경상사고     0   \n",
       "4   2017111300100042  2017년 11월 13일 02시  월요일       강원도 춘천시 우두동  부상신고사고     0   \n",
       "..               ...                ...  ...               ...     ...   ...   \n",
       "38  2019102800100095  2019년 10월 28일 07시  월요일  충청북도 청주시 상당구 용암동  부상신고사고     0   \n",
       "39  2019110100100225   2019년 11월 1일 09시  금요일  충청북도 청주시 서원구 사직동    경상사고     0   \n",
       "40  2019112800100586  2019년 11월 28일 19시  목요일  충청북도 청주시 상당구 용암동    경상사고     0   \n",
       "41  2019121700100580  2019년 12월 17일 21시  화요일  충청북도 청주시 흥덕구 비하동    경상사고     0   \n",
       "42  2019122200100324  2019년 12월 22일 16시  일요일  충청북도 청주시 흥덕구 향정동  부상신고사고     0   \n",
       "\n",
       "    중상자수  경상자수  부상신고자수              사고유형  ... 기상상태         도로형태     가해운전자 차종  \\\n",
       "0      1     0       0  차량단독 - 전도전복 - 전복  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "1      0     1       0        차대차 - 측면충돌  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "2      0     3       0        차대차 - 측면충돌  ...   맑음   교차로 - 교차로안  개인형이동수단(PM)   \n",
       "3      0     1       0         차량단독 - 기타  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "4      0     0       1       차량단독 - 전도전복  ...   맑음   교차로 - 교차로안  개인형이동수단(PM)   \n",
       "..   ...   ...     ...               ...  ...  ...          ...          ...   \n",
       "38     0     0       1        차대차 - 측면충돌  ...   맑음   교차로 - 교차로안  개인형이동수단(PM)   \n",
       "39     0     1       0          차대차 - 기타  ...   맑음  교차로 - 교차로부근  개인형이동수단(PM)   \n",
       "40     0     1       0        차대차 - 측면충돌  ...   맑음    주차장 - 주차장  개인형이동수단(PM)   \n",
       "41     0     1       0          차대차 - 기타  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "42     0     0       1          차대차 - 기타  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "\n",
       "   가해운전자 성별 가해운전자 연령 가해운전자 상해정도 피해운전자 차종 피해운전자 성별 피해운전자 연령 피해운전자 상해정도  \n",
       "0         여      73세         중상      NaN      NaN      NaN        NaN  \n",
       "1         남      45세         경상       승용        여      58세       상해없음  \n",
       "2         남      67세       상해없음       승용        여      29세         경상  \n",
       "3         남      33세         경상      NaN      NaN      NaN        NaN  \n",
       "4         남      39세       부상신고      미분류      미분류      미분류        미분류  \n",
       "..      ...      ...        ...      ...      ...      ...        ...  \n",
       "38        여      58세       부상신고       승용        남      23세       상해없음  \n",
       "39        남      22세         경상       승용        남      39세       상해없음  \n",
       "40        남      60세         경상       이륜        남      38세       상해없음  \n",
       "41        남      36세         경상       이륜        남      46세       상해없음  \n",
       "42        남      40세       부상신고       승용        남      59세       상해없음  \n",
       "\n",
       "[789 rows x 22 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "PM = pd.concat([강원PM,경기PM,경남PM,경북PM,광주PM,대구PM,대전PM,부산PM,서울PM,세종PM,울산PM,인천PM,전남PM,전북PM,제주PM,충남PM,충북PM])\n",
    "PM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "PM.to_csv(\"output/PM_accident.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>Unnamed: 0</th>\n",
       "      <th>사고번호</th>\n",
       "      <th>사고일시</th>\n",
       "      <th>요일</th>\n",
       "      <th>시군구</th>\n",
       "      <th>사고내용</th>\n",
       "      <th>사망자수</th>\n",
       "      <th>중상자수</th>\n",
       "      <th>경상자수</th>\n",
       "      <th>부상신고자수</th>\n",
       "      <th>...</th>\n",
       "      <th>기상상태</th>\n",
       "      <th>도로형태</th>\n",
       "      <th>가해운전자 차종</th>\n",
       "      <th>가해운전자 성별</th>\n",
       "      <th>가해운전자 연령</th>\n",
       "      <th>가해운전자 상해정도</th>\n",
       "      <th>피해운전자 차종</th>\n",
       "      <th>피해운전자 성별</th>\n",
       "      <th>피해운전자 연령</th>\n",
       "      <th>피해운전자 상해정도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2017070700100195</td>\n",
       "      <td>2017년 7월 7일 10시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>강원도 양구군 남면</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>73세</td>\n",
       "      <td>중상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2017092100100543</td>\n",
       "      <td>2017년 9월 21일 18시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>강원도 춘천시 후평동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>45세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>58세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2017100300100290</td>\n",
       "      <td>2017년 10월 3일 17시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>강원도 양양군 강현면</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>67세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>29세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2017110200100283</td>\n",
       "      <td>2017년 11월 2일 14시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>강원도 춘천시 동면</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>33세</td>\n",
       "      <td>경상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2017111300100042</td>\n",
       "      <td>2017년 11월 13일 02시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>강원도 춘천시 우두동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>39세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>784</th>\n",
       "      <td>38</td>\n",
       "      <td>2019102800100095</td>\n",
       "      <td>2019년 10월 28일 07시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>충청북도 청주시 상당구 용암동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>58세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>23세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>785</th>\n",
       "      <td>39</td>\n",
       "      <td>2019110100100225</td>\n",
       "      <td>2019년 11월 1일 09시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>충청북도 청주시 서원구 사직동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로부근</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>22세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>39세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>786</th>\n",
       "      <td>40</td>\n",
       "      <td>2019112800100586</td>\n",
       "      <td>2019년 11월 28일 19시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>충청북도 청주시 상당구 용암동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>주차장 - 주차장</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>60세</td>\n",
       "      <td>경상</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>38세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>787</th>\n",
       "      <td>41</td>\n",
       "      <td>2019121700100580</td>\n",
       "      <td>2019년 12월 17일 21시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>충청북도 청주시 흥덕구 비하동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>36세</td>\n",
       "      <td>경상</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>46세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>788</th>\n",
       "      <td>42</td>\n",
       "      <td>2019122200100324</td>\n",
       "      <td>2019년 12월 22일 16시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>충청북도 청주시 흥덕구 향정동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>40세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>59세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>789 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0              사고번호               사고일시   요일               시군구  \\\n",
       "0             0  2017070700100195    2017년 7월 7일 10시  금요일        강원도 양구군 남면   \n",
       "1             1  2017092100100543   2017년 9월 21일 18시  목요일       강원도 춘천시 후평동   \n",
       "2             2  2017100300100290   2017년 10월 3일 17시  화요일       강원도 양양군 강현면   \n",
       "3             3  2017110200100283   2017년 11월 2일 14시  목요일        강원도 춘천시 동면   \n",
       "4             4  2017111300100042  2017년 11월 13일 02시  월요일       강원도 춘천시 우두동   \n",
       "..          ...               ...                ...  ...               ...   \n",
       "784          38  2019102800100095  2019년 10월 28일 07시  월요일  충청북도 청주시 상당구 용암동   \n",
       "785          39  2019110100100225   2019년 11월 1일 09시  금요일  충청북도 청주시 서원구 사직동   \n",
       "786          40  2019112800100586  2019년 11월 28일 19시  목요일  충청북도 청주시 상당구 용암동   \n",
       "787          41  2019121700100580  2019년 12월 17일 21시  화요일  충청북도 청주시 흥덕구 비하동   \n",
       "788          42  2019122200100324  2019년 12월 22일 16시  일요일  충청북도 청주시 흥덕구 향정동   \n",
       "\n",
       "       사고내용  사망자수  중상자수  경상자수  부상신고자수  ... 기상상태         도로형태     가해운전자 차종  \\\n",
       "0      중상사고     0     1     0       0  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "1      경상사고     0     0     1       0  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "2      경상사고     0     0     3       0  ...   맑음   교차로 - 교차로안  개인형이동수단(PM)   \n",
       "3      경상사고     0     0     1       0  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "4    부상신고사고     0     0     0       1  ...   맑음   교차로 - 교차로안  개인형이동수단(PM)   \n",
       "..      ...   ...   ...   ...     ...  ...  ...          ...          ...   \n",
       "784  부상신고사고     0     0     0       1  ...   맑음   교차로 - 교차로안  개인형이동수단(PM)   \n",
       "785    경상사고     0     0     1       0  ...   맑음  교차로 - 교차로부근  개인형이동수단(PM)   \n",
       "786    경상사고     0     0     1       0  ...   맑음    주차장 - 주차장  개인형이동수단(PM)   \n",
       "787    경상사고     0     0     1       0  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "788  부상신고사고     0     0     0       1  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "\n",
       "    가해운전자 성별 가해운전자 연령 가해운전자 상해정도 피해운전자 차종 피해운전자 성별 피해운전자 연령 피해운전자 상해정도  \n",
       "0          여      73세         중상      NaN      NaN      NaN        NaN  \n",
       "1          남      45세         경상       승용        여      58세       상해없음  \n",
       "2          남      67세       상해없음       승용        여      29세         경상  \n",
       "3          남      33세         경상      NaN      NaN      NaN        NaN  \n",
       "4          남      39세       부상신고      미분류      미분류      미분류        미분류  \n",
       "..       ...      ...        ...      ...      ...      ...        ...  \n",
       "784        여      58세       부상신고       승용        남      23세       상해없음  \n",
       "785        남      22세         경상       승용        남      39세       상해없음  \n",
       "786        남      60세         경상       이륜        남      38세       상해없음  \n",
       "787        남      36세         경상       이륜        남      46세       상해없음  \n",
       "788        남      40세       부상신고       승용        남      59세       상해없음  \n",
       "\n",
       "[789 rows x 23 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "PM = pd.read_csv(\"output/PM_accident.csv\")\n",
    "PM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>Unnamed: 0</th>\n",
       "      <th>사고번호</th>\n",
       "      <th>사고일시</th>\n",
       "      <th>요일</th>\n",
       "      <th>시군구</th>\n",
       "      <th>사고내용</th>\n",
       "      <th>사망자수</th>\n",
       "      <th>중상자수</th>\n",
       "      <th>경상자수</th>\n",
       "      <th>부상신고자수</th>\n",
       "      <th>...</th>\n",
       "      <th>기상상태</th>\n",
       "      <th>도로형태</th>\n",
       "      <th>가해운전자 차종</th>\n",
       "      <th>가해운전자 성별</th>\n",
       "      <th>가해운전자 연령</th>\n",
       "      <th>가해운전자 상해정도</th>\n",
       "      <th>피해운전자 차종</th>\n",
       "      <th>피해운전자 성별</th>\n",
       "      <th>피해운전자 연령</th>\n",
       "      <th>피해운전자 상해정도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2017070700100195</td>\n",
       "      <td>2017년 7월 7일 10시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>강원도 양구군 남면</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>73세</td>\n",
       "      <td>중상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2017092100100543</td>\n",
       "      <td>2017년 9월 21일 18시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>강원도 춘천시 후평동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>45세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>58세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2017100300100290</td>\n",
       "      <td>2017년 10월 3일 17시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>강원도 양양군 강현면</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>67세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>29세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2017110200100283</td>\n",
       "      <td>2017년 11월 2일 14시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>강원도 춘천시 동면</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>33세</td>\n",
       "      <td>경상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2017111300100042</td>\n",
       "      <td>2017년 11월 13일 02시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>강원도 춘천시 우두동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>39세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>784</th>\n",
       "      <td>38</td>\n",
       "      <td>2019102800100095</td>\n",
       "      <td>2019년 10월 28일 07시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>충청북도 청주시 상당구 용암동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>58세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>23세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>785</th>\n",
       "      <td>39</td>\n",
       "      <td>2019110100100225</td>\n",
       "      <td>2019년 11월 1일 09시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>충청북도 청주시 서원구 사직동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로부근</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>22세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>39세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>786</th>\n",
       "      <td>40</td>\n",
       "      <td>2019112800100586</td>\n",
       "      <td>2019년 11월 28일 19시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>충청북도 청주시 상당구 용암동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>주차장 - 주차장</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>60세</td>\n",
       "      <td>경상</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>38세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>787</th>\n",
       "      <td>41</td>\n",
       "      <td>2019121700100580</td>\n",
       "      <td>2019년 12월 17일 21시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>충청북도 청주시 흥덕구 비하동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>36세</td>\n",
       "      <td>경상</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>46세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>788</th>\n",
       "      <td>42</td>\n",
       "      <td>2019122200100324</td>\n",
       "      <td>2019년 12월 22일 16시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>충청북도 청주시 흥덕구 향정동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>40세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>59세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>789 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0              사고번호               사고일시   요일               시군구  \\\n",
       "0             0  2017070700100195    2017년 7월 7일 10시  금요일        강원도 양구군 남면   \n",
       "1             1  2017092100100543   2017년 9월 21일 18시  목요일       강원도 춘천시 후평동   \n",
       "2             2  2017100300100290   2017년 10월 3일 17시  화요일       강원도 양양군 강현면   \n",
       "3             3  2017110200100283   2017년 11월 2일 14시  목요일        강원도 춘천시 동면   \n",
       "4             4  2017111300100042  2017년 11월 13일 02시  월요일       강원도 춘천시 우두동   \n",
       "..          ...               ...                ...  ...               ...   \n",
       "784          38  2019102800100095  2019년 10월 28일 07시  월요일  충청북도 청주시 상당구 용암동   \n",
       "785          39  2019110100100225   2019년 11월 1일 09시  금요일  충청북도 청주시 서원구 사직동   \n",
       "786          40  2019112800100586  2019년 11월 28일 19시  목요일  충청북도 청주시 상당구 용암동   \n",
       "787          41  2019121700100580  2019년 12월 17일 21시  화요일  충청북도 청주시 흥덕구 비하동   \n",
       "788          42  2019122200100324  2019년 12월 22일 16시  일요일  충청북도 청주시 흥덕구 향정동   \n",
       "\n",
       "       사고내용  사망자수  중상자수  경상자수  부상신고자수  ... 기상상태         도로형태     가해운전자 차종  \\\n",
       "0      중상사고     0     1     0       0  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "1      경상사고     0     0     1       0  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "2      경상사고     0     0     3       0  ...   맑음   교차로 - 교차로안  개인형이동수단(PM)   \n",
       "3      경상사고     0     0     1       0  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "4    부상신고사고     0     0     0       1  ...   맑음   교차로 - 교차로안  개인형이동수단(PM)   \n",
       "..      ...   ...   ...   ...     ...  ...  ...          ...          ...   \n",
       "784  부상신고사고     0     0     0       1  ...   맑음   교차로 - 교차로안  개인형이동수단(PM)   \n",
       "785    경상사고     0     0     1       0  ...   맑음  교차로 - 교차로부근  개인형이동수단(PM)   \n",
       "786    경상사고     0     0     1       0  ...   맑음    주차장 - 주차장  개인형이동수단(PM)   \n",
       "787    경상사고     0     0     1       0  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "788  부상신고사고     0     0     0       1  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "\n",
       "    가해운전자 성별 가해운전자 연령 가해운전자 상해정도 피해운전자 차종 피해운전자 성별 피해운전자 연령 피해운전자 상해정도  \n",
       "0          여      73세         중상      NaN      NaN      NaN        NaN  \n",
       "1          남      45세         경상       승용        여      58세       상해없음  \n",
       "2          남      67세       상해없음       승용        여      29세         경상  \n",
       "3          남      33세         경상      NaN      NaN      NaN        NaN  \n",
       "4          남      39세       부상신고      미분류      미분류      미분류        미분류  \n",
       "..       ...      ...        ...      ...      ...      ...        ...  \n",
       "784        여      58세       부상신고       승용        남      23세       상해없음  \n",
       "785        남      22세         경상       승용        남      39세       상해없음  \n",
       "786        남      60세         경상       이륜        남      38세       상해없음  \n",
       "787        남      36세         경상       이륜        남      46세       상해없음  \n",
       "788        남      40세       부상신고       승용        남      59세       상해없음  \n",
       "\n",
       "[789 rows x 23 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "PM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>Unnamed: 0</th>\n",
       "      <th>사고번호</th>\n",
       "      <th>사고일시</th>\n",
       "      <th>요일</th>\n",
       "      <th>시군구</th>\n",
       "      <th>사고내용</th>\n",
       "      <th>사망자수</th>\n",
       "      <th>중상자수</th>\n",
       "      <th>경상자수</th>\n",
       "      <th>부상신고자수</th>\n",
       "      <th>...</th>\n",
       "      <th>기상상태</th>\n",
       "      <th>도로형태</th>\n",
       "      <th>가해운전자 차종</th>\n",
       "      <th>가해운전자 성별</th>\n",
       "      <th>가해운전자 연령</th>\n",
       "      <th>가해운전자 상해정도</th>\n",
       "      <th>피해운전자 차종</th>\n",
       "      <th>피해운전자 성별</th>\n",
       "      <th>피해운전자 연령</th>\n",
       "      <th>피해운전자 상해정도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2017070700100195</td>\n",
       "      <td>2017년 7월 7일 10시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>강원도 양구군 남면</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>73세</td>\n",
       "      <td>중상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2017110200100283</td>\n",
       "      <td>2017년 11월 2일 14시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>강원도 춘천시 동면</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>33세</td>\n",
       "      <td>경상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2017111300100042</td>\n",
       "      <td>2017년 11월 13일 02시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>강원도 춘천시 우두동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>39세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>2019080900100080</td>\n",
       "      <td>2019년 8월 9일 04시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>강원도 춘천시 효자동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>42세</td>\n",
       "      <td>중상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>2019082500100361</td>\n",
       "      <td>2019년 8월 25일 17시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>강원도 동해시 이도동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로부근</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>18세</td>\n",
       "      <td>경상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>784</th>\n",
       "      <td>38</td>\n",
       "      <td>2019102800100095</td>\n",
       "      <td>2019년 10월 28일 07시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>충청북도 청주시 상당구 용암동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>58세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>23세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>785</th>\n",
       "      <td>39</td>\n",
       "      <td>2019110100100225</td>\n",
       "      <td>2019년 11월 1일 09시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>충청북도 청주시 서원구 사직동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로부근</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>22세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>39세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>786</th>\n",
       "      <td>40</td>\n",
       "      <td>2019112800100586</td>\n",
       "      <td>2019년 11월 28일 19시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>충청북도 청주시 상당구 용암동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>주차장 - 주차장</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>60세</td>\n",
       "      <td>경상</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>38세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>787</th>\n",
       "      <td>41</td>\n",
       "      <td>2019121700100580</td>\n",
       "      <td>2019년 12월 17일 21시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>충청북도 청주시 흥덕구 비하동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>36세</td>\n",
       "      <td>경상</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>46세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>788</th>\n",
       "      <td>42</td>\n",
       "      <td>2019122200100324</td>\n",
       "      <td>2019년 12월 22일 16시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>충청북도 청주시 흥덕구 향정동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>40세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>59세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>490 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0              사고번호               사고일시   요일               시군구  \\\n",
       "0             0  2017070700100195    2017년 7월 7일 10시  금요일        강원도 양구군 남면   \n",
       "3             3  2017110200100283   2017년 11월 2일 14시  목요일        강원도 춘천시 동면   \n",
       "4             4  2017111300100042  2017년 11월 13일 02시  월요일       강원도 춘천시 우두동   \n",
       "5             5  2019080900100080    2019년 8월 9일 04시  금요일       강원도 춘천시 효자동   \n",
       "7             7  2019082500100361   2019년 8월 25일 17시  일요일       강원도 동해시 이도동   \n",
       "..          ...               ...                ...  ...               ...   \n",
       "784          38  2019102800100095  2019년 10월 28일 07시  월요일  충청북도 청주시 상당구 용암동   \n",
       "785          39  2019110100100225   2019년 11월 1일 09시  금요일  충청북도 청주시 서원구 사직동   \n",
       "786          40  2019112800100586  2019년 11월 28일 19시  목요일  충청북도 청주시 상당구 용암동   \n",
       "787          41  2019121700100580  2019년 12월 17일 21시  화요일  충청북도 청주시 흥덕구 비하동   \n",
       "788          42  2019122200100324  2019년 12월 22일 16시  일요일  충청북도 청주시 흥덕구 향정동   \n",
       "\n",
       "       사고내용  사망자수  중상자수  경상자수  부상신고자수  ... 기상상태         도로형태     가해운전자 차종  \\\n",
       "0      중상사고     0     1     0       0  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "3      경상사고     0     0     1       0  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "4    부상신고사고     0     0     0       1  ...   맑음   교차로 - 교차로안  개인형이동수단(PM)   \n",
       "5      중상사고     0     1     0       0  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "7      경상사고     0     0     1       0  ...   맑음  교차로 - 교차로부근  개인형이동수단(PM)   \n",
       "..      ...   ...   ...   ...     ...  ...  ...          ...          ...   \n",
       "784  부상신고사고     0     0     0       1  ...   맑음   교차로 - 교차로안  개인형이동수단(PM)   \n",
       "785    경상사고     0     0     1       0  ...   맑음  교차로 - 교차로부근  개인형이동수단(PM)   \n",
       "786    경상사고     0     0     1       0  ...   맑음    주차장 - 주차장  개인형이동수단(PM)   \n",
       "787    경상사고     0     0     1       0  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "788  부상신고사고     0     0     0       1  ...   맑음     단일로 - 기타  개인형이동수단(PM)   \n",
       "\n",
       "    가해운전자 성별 가해운전자 연령 가해운전자 상해정도 피해운전자 차종 피해운전자 성별 피해운전자 연령 피해운전자 상해정도  \n",
       "0          여      73세         중상      NaN      NaN      NaN        NaN  \n",
       "3          남      33세         경상      NaN      NaN      NaN        NaN  \n",
       "4          남      39세       부상신고      미분류      미분류      미분류        미분류  \n",
       "5          남      42세         중상      NaN      NaN      NaN        NaN  \n",
       "7          남      18세         경상      NaN      NaN      NaN        NaN  \n",
       "..       ...      ...        ...      ...      ...      ...        ...  \n",
       "784        여      58세       부상신고       승용        남      23세       상해없음  \n",
       "785        남      22세         경상       승용        남      39세       상해없음  \n",
       "786        남      60세         경상       이륜        남      38세       상해없음  \n",
       "787        남      36세         경상       이륜        남      46세       상해없음  \n",
       "788        남      40세       부상신고       승용        남      59세       상해없음  \n",
       "\n",
       "[490 rows x 23 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = PM[PM[\"법규위반\"] == \"안전운전불이행\"]\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>사고번호</th>\n",
       "      <th>사망자수</th>\n",
       "      <th>중상자수</th>\n",
       "      <th>경상자수</th>\n",
       "      <th>부상신고자수</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7.890000e+02</td>\n",
       "      <td>789.000000</td>\n",
       "      <td>789.000000</td>\n",
       "      <td>789.000000</td>\n",
       "      <td>789.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.018498e+15</td>\n",
       "      <td>0.020279</td>\n",
       "      <td>0.318124</td>\n",
       "      <td>0.555133</td>\n",
       "      <td>0.185044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>7.353959e+11</td>\n",
       "      <td>0.141042</td>\n",
       "      <td>0.492521</td>\n",
       "      <td>0.570924</td>\n",
       "      <td>0.388580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.017022e+15</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.018071e+15</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.019043e+15</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.019083e+15</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.019123e+15</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               사고번호        사망자수        중상자수        경상자수      부상신고자수\n",
       "count  7.890000e+02  789.000000  789.000000  789.000000  789.000000\n",
       "mean   2.018498e+15    0.020279    0.318124    0.555133    0.185044\n",
       "std    7.353959e+11    0.141042    0.492521    0.570924    0.388580\n",
       "min    2.017022e+15    0.000000    0.000000    0.000000    0.000000\n",
       "25%    2.018071e+15    0.000000    0.000000    0.000000    0.000000\n",
       "50%    2.019043e+15    0.000000    0.000000    1.000000    0.000000\n",
       "75%    2.019083e+15    0.000000    1.000000    1.000000    0.000000\n",
       "max    2.019123e+15    1.000000    2.000000    3.000000    1.000000"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "PM.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 연도에 따른 PM 사고"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['사고번호', '사고일시', '요일', '시군구', '사고내용', '사망자수', '중상자수', '경상자수', '부상신고자수',\n",
       "       '사고유형', '법규위반', '노면상태', '기상상태', '도로형태', '가해운전자 차종', '가해운전자 성별',\n",
       "       '가해운전자 연령', '가해운전자 상해정도', '피해운전자 차종', '피해운전자 성별', '피해운전자 연령',\n",
       "       '피해운전자 상해정도'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "PM.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_PM = PM[['사고일시', '요일', '시군구', '사고내용', '사망자수', '중상자수', '경상자수', '부상신고자수',\n",
    "       '사고유형', '법규위반', '노면상태', '도로형태', '가해운전자 차종', '가해운전자 성별',\n",
    "       '가해운전자 연령', '가해운전자 상해정도', '피해운전자 차종', '피해운전자 성별', '피해운전자 연령',\n",
    "       '피해운전자 상해정도']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>사고일시</th>\n",
       "      <th>요일</th>\n",
       "      <th>시군구</th>\n",
       "      <th>사고내용</th>\n",
       "      <th>사망자수</th>\n",
       "      <th>중상자수</th>\n",
       "      <th>경상자수</th>\n",
       "      <th>부상신고자수</th>\n",
       "      <th>사고유형</th>\n",
       "      <th>법규위반</th>\n",
       "      <th>노면상태</th>\n",
       "      <th>도로형태</th>\n",
       "      <th>가해운전자 차종</th>\n",
       "      <th>가해운전자 성별</th>\n",
       "      <th>가해운전자 연령</th>\n",
       "      <th>가해운전자 상해정도</th>\n",
       "      <th>피해운전자 차종</th>\n",
       "      <th>피해운전자 성별</th>\n",
       "      <th>피해운전자 연령</th>\n",
       "      <th>피해운전자 상해정도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017년 7월 7일 10시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>강원도 양구군 남면</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>차량단독 - 전도전복 - 전복</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>포장 - 건조</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>73세</td>\n",
       "      <td>중상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017년 9월 21일 18시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>강원도 춘천시 후평동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>불법유턴</td>\n",
       "      <td>포장 - 건조</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>45세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>58세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017년 10월 3일 17시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>강원도 양양군 강현면</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>교차로운행방법위반</td>\n",
       "      <td>포장 - 건조</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>67세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>29세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017년 11월 2일 14시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>강원도 춘천시 동면</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차량단독 - 기타</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>포장 - 건조</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>33세</td>\n",
       "      <td>경상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017년 11월 13일 02시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>강원도 춘천시 우두동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>차량단독 - 전도전복</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>포장 - 건조</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>39세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2019년 10월 28일 07시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>충청북도 청주시 상당구 용암동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>포장 - 건조</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>여</td>\n",
       "      <td>58세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>23세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2019년 11월 1일 09시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>충청북도 청주시 서원구 사직동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>포장 - 건조</td>\n",
       "      <td>교차로 - 교차로부근</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>22세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>39세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2019년 11월 28일 19시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>충청북도 청주시 상당구 용암동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>포장 - 건조</td>\n",
       "      <td>주차장 - 주차장</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>60세</td>\n",
       "      <td>경상</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>38세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2019년 12월 17일 21시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>충청북도 청주시 흥덕구 비하동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>포장 - 건조</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>36세</td>\n",
       "      <td>경상</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>46세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2019년 12월 22일 16시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>충청북도 청주시 흥덕구 향정동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>포장 - 건조</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>개인형이동수단(PM)</td>\n",
       "      <td>남</td>\n",
       "      <td>40세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>59세</td>\n",
       "      <td>상해없음</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>789 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 사고일시   요일               시군구    사고내용  사망자수  중상자수  경상자수  \\\n",
       "0     2017년 7월 7일 10시  금요일        강원도 양구군 남면    중상사고     0     1     0   \n",
       "1    2017년 9월 21일 18시  목요일       강원도 춘천시 후평동    경상사고     0     0     1   \n",
       "2    2017년 10월 3일 17시  화요일       강원도 양양군 강현면    경상사고     0     0     3   \n",
       "3    2017년 11월 2일 14시  목요일        강원도 춘천시 동면    경상사고     0     0     1   \n",
       "4   2017년 11월 13일 02시  월요일       강원도 춘천시 우두동  부상신고사고     0     0     0   \n",
       "..                ...  ...               ...     ...   ...   ...   ...   \n",
       "38  2019년 10월 28일 07시  월요일  충청북도 청주시 상당구 용암동  부상신고사고     0     0     0   \n",
       "39   2019년 11월 1일 09시  금요일  충청북도 청주시 서원구 사직동    경상사고     0     0     1   \n",
       "40  2019년 11월 28일 19시  목요일  충청북도 청주시 상당구 용암동    경상사고     0     0     1   \n",
       "41  2019년 12월 17일 21시  화요일  충청북도 청주시 흥덕구 비하동    경상사고     0     0     1   \n",
       "42  2019년 12월 22일 16시  일요일  충청북도 청주시 흥덕구 향정동  부상신고사고     0     0     0   \n",
       "\n",
       "    부상신고자수              사고유형       법규위반     노면상태         도로형태     가해운전자 차종  \\\n",
       "0        0  차량단독 - 전도전복 - 전복    안전운전불이행  포장 - 건조     단일로 - 기타  개인형이동수단(PM)   \n",
       "1        0        차대차 - 측면충돌       불법유턴  포장 - 건조     단일로 - 기타  개인형이동수단(PM)   \n",
       "2        0        차대차 - 측면충돌  교차로운행방법위반  포장 - 건조   교차로 - 교차로안  개인형이동수단(PM)   \n",
       "3        0         차량단독 - 기타    안전운전불이행  포장 - 건조     단일로 - 기타  개인형이동수단(PM)   \n",
       "4        1       차량단독 - 전도전복    안전운전불이행  포장 - 건조   교차로 - 교차로안  개인형이동수단(PM)   \n",
       "..     ...               ...        ...      ...          ...          ...   \n",
       "38       1        차대차 - 측면충돌    안전운전불이행  포장 - 건조   교차로 - 교차로안  개인형이동수단(PM)   \n",
       "39       0          차대차 - 기타    안전운전불이행  포장 - 건조  교차로 - 교차로부근  개인형이동수단(PM)   \n",
       "40       0        차대차 - 측면충돌    안전운전불이행  포장 - 건조    주차장 - 주차장  개인형이동수단(PM)   \n",
       "41       0          차대차 - 기타    안전운전불이행  포장 - 건조     단일로 - 기타  개인형이동수단(PM)   \n",
       "42       1          차대차 - 기타    안전운전불이행  포장 - 건조     단일로 - 기타  개인형이동수단(PM)   \n",
       "\n",
       "   가해운전자 성별 가해운전자 연령 가해운전자 상해정도 피해운전자 차종 피해운전자 성별 피해운전자 연령 피해운전자 상해정도  \n",
       "0         여      73세         중상      NaN      NaN      NaN        NaN  \n",
       "1         남      45세         경상       승용        여      58세       상해없음  \n",
       "2         남      67세       상해없음       승용        여      29세         경상  \n",
       "3         남      33세         경상      NaN      NaN      NaN        NaN  \n",
       "4         남      39세       부상신고      미분류      미분류      미분류        미분류  \n",
       "..      ...      ...        ...      ...      ...      ...        ...  \n",
       "38        여      58세       부상신고       승용        남      23세       상해없음  \n",
       "39        남      22세         경상       승용        남      39세       상해없음  \n",
       "40        남      60세         경상       이륜        남      38세       상해없음  \n",
       "41        남      36세         경상       이륜        남      46세       상해없음  \n",
       "42        남      40세       부상신고       승용        남      59세       상해없음  \n",
       "\n",
       "[789 rows x 20 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_PM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.series.Series'>\n"
     ]
    }
   ],
   "source": [
    "사고일시 = new_PM['사고일시'].str.split(\" \")\n",
    "\n",
    "print(type(사고일시))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.series.Series'>\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# 각각의 데이터는 리스트입니다.\n",
    "print(type(사고일시[0]))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      [2017년, 7월, 7일, 10시]\n",
       "1     [2017년, 9월, 21일, 18시]\n",
       "2     [2017년, 10월, 3일, 17시]\n",
       "3     [2017년, 11월, 2일, 14시]\n",
       "4    [2017년, 11월, 13일, 02시]\n",
       "Name: 사고일시, dtype: object"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "사고일시.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       [2017년, 7월, 7일, 10시]\n",
       "1      [2017년, 9월, 21일, 18시]\n",
       "2      [2017년, 10월, 3일, 17시]\n",
       "3      [2017년, 11월, 2일, 14시]\n",
       "4     [2017년, 11월, 13일, 02시]\n",
       "               ...          \n",
       "38    [2019년, 10월, 28일, 07시]\n",
       "39     [2019년, 11월, 1일, 09시]\n",
       "40    [2019년, 11월, 28일, 19시]\n",
       "41    [2019년, 12월, 17일, 21시]\n",
       "42    [2019년, 12월, 22일, 16시]\n",
       "Name: 사고일시, Length: 789, dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "사고일시"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    2017년\n",
      "1    2017년\n",
      "2    2017년\n",
      "3    2017년\n",
      "4    2017년\n",
      "Name: 사고일시, dtype: object\n"
     ]
    }
   ],
   "source": [
    "# .str 접근자(accessor)를 사용하면 \n",
    "# 리스트의 인덱싱과 같은 방식으로 데이터를 추출할 수 있습니다.\n",
    "# 리스트에서 첫번째 요소를 가져옵니다.\n",
    "연도 = 사고일시.str[0]\n",
    "\n",
    "# 결과를 출력합니다\n",
    "print(연도.head())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    10시\n",
      "1    18시\n",
      "2    17시\n",
      "3    14시\n",
      "4    02시\n",
      "Name: 사고일시, dtype: object\n"
     ]
    }
   ],
   "source": [
    "# .str 접근자(accessor)를 사용하면 \n",
    "# 리스트의 인덱싱과 같은 방식으로 데이터를 추출할 수 있습니다.\n",
    "# 리스트에서 마지막 요소를 가져옵니다.\n",
    "시간 = 사고일시.str[-1]\n",
    "\n",
    "# 결과를 출력합니다\n",
    "print(시간.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-15-0795d489c329>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  new_PM['사고연도'] = 연도\n"
     ]
    }
   ],
   "source": [
    "# 인덱싱 결과를 새로운 변수에 할당합니다.\n",
    "new_PM['사고연도'] = 연도\n",
    "\n",
    "# 인덱싱 결과를 새로운 변수에 할당합니다.\n",
    "new_PM['사고시간'] = 시간\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "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>사고일시</th>\n",
       "      <th>요일</th>\n",
       "      <th>시군구</th>\n",
       "      <th>사고내용</th>\n",
       "      <th>사망자수</th>\n",
       "      <th>중상자수</th>\n",
       "      <th>경상자수</th>\n",
       "      <th>부상신고자수</th>\n",
       "      <th>사고유형</th>\n",
       "      <th>법규위반</th>\n",
       "      <th>...</th>\n",
       "      <th>가해운전자 성별</th>\n",
       "      <th>가해운전자 연령</th>\n",
       "      <th>가해운전자 상해정도</th>\n",
       "      <th>피해운전자 차종</th>\n",
       "      <th>피해운전자 성별</th>\n",
       "      <th>피해운전자 연령</th>\n",
       "      <th>피해운전자 상해정도</th>\n",
       "      <th>사고연도</th>\n",
       "      <th>사고시간</th>\n",
       "      <th>지역</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017년 7월 7일 10시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>강원도 양구군 남면</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>차량단독 - 전도전복 - 전복</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>...</td>\n",
       "      <td>여</td>\n",
       "      <td>73세</td>\n",
       "      <td>중상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017년</td>\n",
       "      <td>10시</td>\n",
       "      <td>강원도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017년 9월 21일 18시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>강원도 춘천시 후평동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>불법유턴</td>\n",
       "      <td>...</td>\n",
       "      <td>남</td>\n",
       "      <td>45세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>58세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>2017년</td>\n",
       "      <td>18시</td>\n",
       "      <td>강원도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017년 10월 3일 17시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>강원도 양양군 강현면</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>교차로운행방법위반</td>\n",
       "      <td>...</td>\n",
       "      <td>남</td>\n",
       "      <td>67세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>29세</td>\n",
       "      <td>경상</td>\n",
       "      <td>2017년</td>\n",
       "      <td>17시</td>\n",
       "      <td>강원도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017년 11월 2일 14시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>강원도 춘천시 동면</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차량단독 - 기타</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>...</td>\n",
       "      <td>남</td>\n",
       "      <td>33세</td>\n",
       "      <td>경상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017년</td>\n",
       "      <td>14시</td>\n",
       "      <td>강원도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017년 11월 13일 02시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>강원도 춘천시 우두동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>차량단독 - 전도전복</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>...</td>\n",
       "      <td>남</td>\n",
       "      <td>39세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>2017년</td>\n",
       "      <td>02시</td>\n",
       "      <td>강원도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2019년 10월 28일 07시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>충청북도 청주시 상당구 용암동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>...</td>\n",
       "      <td>여</td>\n",
       "      <td>58세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>23세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>2019년</td>\n",
       "      <td>07시</td>\n",
       "      <td>충청북도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2019년 11월 1일 09시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>충청북도 청주시 서원구 사직동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>...</td>\n",
       "      <td>남</td>\n",
       "      <td>22세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>39세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>2019년</td>\n",
       "      <td>09시</td>\n",
       "      <td>충청북도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2019년 11월 28일 19시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>충청북도 청주시 상당구 용암동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>...</td>\n",
       "      <td>남</td>\n",
       "      <td>60세</td>\n",
       "      <td>경상</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>38세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>2019년</td>\n",
       "      <td>19시</td>\n",
       "      <td>충청북도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2019년 12월 17일 21시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>충청북도 청주시 흥덕구 비하동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>...</td>\n",
       "      <td>남</td>\n",
       "      <td>36세</td>\n",
       "      <td>경상</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>46세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>2019년</td>\n",
       "      <td>21시</td>\n",
       "      <td>충청북도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2019년 12월 22일 16시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>충청북도 청주시 흥덕구 향정동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>...</td>\n",
       "      <td>남</td>\n",
       "      <td>40세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>59세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>2019년</td>\n",
       "      <td>16시</td>\n",
       "      <td>충청북도</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>789 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 사고일시   요일               시군구    사고내용  사망자수  중상자수  경상자수  \\\n",
       "0     2017년 7월 7일 10시  금요일        강원도 양구군 남면    중상사고     0     1     0   \n",
       "1    2017년 9월 21일 18시  목요일       강원도 춘천시 후평동    경상사고     0     0     1   \n",
       "2    2017년 10월 3일 17시  화요일       강원도 양양군 강현면    경상사고     0     0     3   \n",
       "3    2017년 11월 2일 14시  목요일        강원도 춘천시 동면    경상사고     0     0     1   \n",
       "4   2017년 11월 13일 02시  월요일       강원도 춘천시 우두동  부상신고사고     0     0     0   \n",
       "..                ...  ...               ...     ...   ...   ...   ...   \n",
       "38  2019년 10월 28일 07시  월요일  충청북도 청주시 상당구 용암동  부상신고사고     0     0     0   \n",
       "39   2019년 11월 1일 09시  금요일  충청북도 청주시 서원구 사직동    경상사고     0     0     1   \n",
       "40  2019년 11월 28일 19시  목요일  충청북도 청주시 상당구 용암동    경상사고     0     0     1   \n",
       "41  2019년 12월 17일 21시  화요일  충청북도 청주시 흥덕구 비하동    경상사고     0     0     1   \n",
       "42  2019년 12월 22일 16시  일요일  충청북도 청주시 흥덕구 향정동  부상신고사고     0     0     0   \n",
       "\n",
       "    부상신고자수              사고유형       법규위반  ... 가해운전자 성별 가해운전자 연령 가해운전자 상해정도  \\\n",
       "0        0  차량단독 - 전도전복 - 전복    안전운전불이행  ...        여      73세         중상   \n",
       "1        0        차대차 - 측면충돌       불법유턴  ...        남      45세         경상   \n",
       "2        0        차대차 - 측면충돌  교차로운행방법위반  ...        남      67세       상해없음   \n",
       "3        0         차량단독 - 기타    안전운전불이행  ...        남      33세         경상   \n",
       "4        1       차량단독 - 전도전복    안전운전불이행  ...        남      39세       부상신고   \n",
       "..     ...               ...        ...  ...      ...      ...        ...   \n",
       "38       1        차대차 - 측면충돌    안전운전불이행  ...        여      58세       부상신고   \n",
       "39       0          차대차 - 기타    안전운전불이행  ...        남      22세         경상   \n",
       "40       0        차대차 - 측면충돌    안전운전불이행  ...        남      60세         경상   \n",
       "41       0          차대차 - 기타    안전운전불이행  ...        남      36세         경상   \n",
       "42       1          차대차 - 기타    안전운전불이행  ...        남      40세       부상신고   \n",
       "\n",
       "   피해운전자 차종 피해운전자 성별 피해운전자 연령 피해운전자 상해정도   사고연도 사고시간    지역  \n",
       "0       NaN      NaN      NaN        NaN  2017년  10시   강원도  \n",
       "1        승용        여      58세       상해없음  2017년  18시   강원도  \n",
       "2        승용        여      29세         경상  2017년  17시   강원도  \n",
       "3       NaN      NaN      NaN        NaN  2017년  14시   강원도  \n",
       "4       미분류      미분류      미분류        미분류  2017년  02시   강원도  \n",
       "..      ...      ...      ...        ...    ...  ...   ...  \n",
       "38       승용        남      23세       상해없음  2019년  07시  충청북도  \n",
       "39       승용        남      39세       상해없음  2019년  09시  충청북도  \n",
       "40       이륜        남      38세       상해없음  2019년  19시  충청북도  \n",
       "41       이륜        남      46세       상해없음  2019년  21시  충청북도  \n",
       "42       승용        남      59세       상해없음  2019년  16시  충청북도  \n",
       "\n",
       "[789 rows x 23 columns]"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_PM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0            [강원도, 양구군, 남면]\n",
       "1           [강원도, 춘천시, 후평동]\n",
       "2           [강원도, 양양군, 강현면]\n",
       "3            [강원도, 춘천시, 동면]\n",
       "4           [강원도, 춘천시, 우두동]\n",
       "              ...          \n",
       "38    [충청북도, 청주시, 상당구, 용암동]\n",
       "39    [충청북도, 청주시, 서원구, 사직동]\n",
       "40    [충청북도, 청주시, 상당구, 용암동]\n",
       "41    [충청북도, 청주시, 흥덕구, 비하동]\n",
       "42    [충청북도, 청주시, 흥덕구, 향정동]\n",
       "Name: 시군구, Length: 789, dtype: object"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "시군구 = new_PM['시군구'].str.split(\" \")\n",
    "\n",
    "시군구"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    강원도\n",
      "1    강원도\n",
      "2    강원도\n",
      "3    강원도\n",
      "4    강원도\n",
      "Name: 시군구, dtype: object\n"
     ]
    }
   ],
   "source": [
    "# .str 접근자(accessor)를 사용하면 \n",
    "# 리스트의 인덱싱과 같은 방식으로 데이터를 추출할 수 있습니다.\n",
    "# 리스트에서 첫번째 요소를 가져옵니다.\n",
    "지역 = 시군구.str[0]\n",
    "\n",
    "# 결과를 출력합니다\n",
    "print(지역.head())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_PM['지역'] = 지역"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>사고일시</th>\n",
       "      <th>요일</th>\n",
       "      <th>시군구</th>\n",
       "      <th>사고내용</th>\n",
       "      <th>사망자수</th>\n",
       "      <th>중상자수</th>\n",
       "      <th>경상자수</th>\n",
       "      <th>부상신고자수</th>\n",
       "      <th>사고유형</th>\n",
       "      <th>법규위반</th>\n",
       "      <th>...</th>\n",
       "      <th>가해운전자 성별</th>\n",
       "      <th>가해운전자 연령</th>\n",
       "      <th>가해운전자 상해정도</th>\n",
       "      <th>피해운전자 차종</th>\n",
       "      <th>피해운전자 성별</th>\n",
       "      <th>피해운전자 연령</th>\n",
       "      <th>피해운전자 상해정도</th>\n",
       "      <th>사고연도</th>\n",
       "      <th>사고시간</th>\n",
       "      <th>지역</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017년 7월 7일 10시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>강원도 양구군 남면</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>차량단독 - 전도전복 - 전복</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>...</td>\n",
       "      <td>여</td>\n",
       "      <td>73세</td>\n",
       "      <td>중상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017년</td>\n",
       "      <td>10시</td>\n",
       "      <td>강원도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017년 9월 21일 18시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>강원도 춘천시 후평동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>불법유턴</td>\n",
       "      <td>...</td>\n",
       "      <td>남</td>\n",
       "      <td>45세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>58세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>2017년</td>\n",
       "      <td>18시</td>\n",
       "      <td>강원도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017년 10월 3일 17시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>강원도 양양군 강현면</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>교차로운행방법위반</td>\n",
       "      <td>...</td>\n",
       "      <td>남</td>\n",
       "      <td>67세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>29세</td>\n",
       "      <td>경상</td>\n",
       "      <td>2017년</td>\n",
       "      <td>17시</td>\n",
       "      <td>강원도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017년 11월 2일 14시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>강원도 춘천시 동면</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차량단독 - 기타</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>...</td>\n",
       "      <td>남</td>\n",
       "      <td>33세</td>\n",
       "      <td>경상</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017년</td>\n",
       "      <td>14시</td>\n",
       "      <td>강원도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017년 11월 13일 02시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>강원도 춘천시 우두동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>차량단독 - 전도전복</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>...</td>\n",
       "      <td>남</td>\n",
       "      <td>39세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>미분류</td>\n",
       "      <td>2017년</td>\n",
       "      <td>02시</td>\n",
       "      <td>강원도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2019년 10월 28일 07시</td>\n",
       "      <td>월요일</td>\n",
       "      <td>충청북도 청주시 상당구 용암동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>...</td>\n",
       "      <td>여</td>\n",
       "      <td>58세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>23세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>2019년</td>\n",
       "      <td>07시</td>\n",
       "      <td>충청북도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2019년 11월 1일 09시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>충청북도 청주시 서원구 사직동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>...</td>\n",
       "      <td>남</td>\n",
       "      <td>22세</td>\n",
       "      <td>경상</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>39세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>2019년</td>\n",
       "      <td>09시</td>\n",
       "      <td>충청북도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2019년 11월 28일 19시</td>\n",
       "      <td>목요일</td>\n",
       "      <td>충청북도 청주시 상당구 용암동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>...</td>\n",
       "      <td>남</td>\n",
       "      <td>60세</td>\n",
       "      <td>경상</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>38세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>2019년</td>\n",
       "      <td>19시</td>\n",
       "      <td>충청북도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2019년 12월 17일 21시</td>\n",
       "      <td>화요일</td>\n",
       "      <td>충청북도 청주시 흥덕구 비하동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>...</td>\n",
       "      <td>남</td>\n",
       "      <td>36세</td>\n",
       "      <td>경상</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>46세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>2019년</td>\n",
       "      <td>21시</td>\n",
       "      <td>충청북도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2019년 12월 22일 16시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>충청북도 청주시 흥덕구 향정동</td>\n",
       "      <td>부상신고사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>...</td>\n",
       "      <td>남</td>\n",
       "      <td>40세</td>\n",
       "      <td>부상신고</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>59세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>2019년</td>\n",
       "      <td>16시</td>\n",
       "      <td>충청북도</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>789 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 사고일시   요일               시군구    사고내용  사망자수  중상자수  경상자수  \\\n",
       "0     2017년 7월 7일 10시  금요일        강원도 양구군 남면    중상사고     0     1     0   \n",
       "1    2017년 9월 21일 18시  목요일       강원도 춘천시 후평동    경상사고     0     0     1   \n",
       "2    2017년 10월 3일 17시  화요일       강원도 양양군 강현면    경상사고     0     0     3   \n",
       "3    2017년 11월 2일 14시  목요일        강원도 춘천시 동면    경상사고     0     0     1   \n",
       "4   2017년 11월 13일 02시  월요일       강원도 춘천시 우두동  부상신고사고     0     0     0   \n",
       "..                ...  ...               ...     ...   ...   ...   ...   \n",
       "38  2019년 10월 28일 07시  월요일  충청북도 청주시 상당구 용암동  부상신고사고     0     0     0   \n",
       "39   2019년 11월 1일 09시  금요일  충청북도 청주시 서원구 사직동    경상사고     0     0     1   \n",
       "40  2019년 11월 28일 19시  목요일  충청북도 청주시 상당구 용암동    경상사고     0     0     1   \n",
       "41  2019년 12월 17일 21시  화요일  충청북도 청주시 흥덕구 비하동    경상사고     0     0     1   \n",
       "42  2019년 12월 22일 16시  일요일  충청북도 청주시 흥덕구 향정동  부상신고사고     0     0     0   \n",
       "\n",
       "    부상신고자수              사고유형       법규위반  ... 가해운전자 성별 가해운전자 연령 가해운전자 상해정도  \\\n",
       "0        0  차량단독 - 전도전복 - 전복    안전운전불이행  ...        여      73세         중상   \n",
       "1        0        차대차 - 측면충돌       불법유턴  ...        남      45세         경상   \n",
       "2        0        차대차 - 측면충돌  교차로운행방법위반  ...        남      67세       상해없음   \n",
       "3        0         차량단독 - 기타    안전운전불이행  ...        남      33세         경상   \n",
       "4        1       차량단독 - 전도전복    안전운전불이행  ...        남      39세       부상신고   \n",
       "..     ...               ...        ...  ...      ...      ...        ...   \n",
       "38       1        차대차 - 측면충돌    안전운전불이행  ...        여      58세       부상신고   \n",
       "39       0          차대차 - 기타    안전운전불이행  ...        남      22세         경상   \n",
       "40       0        차대차 - 측면충돌    안전운전불이행  ...        남      60세         경상   \n",
       "41       0          차대차 - 기타    안전운전불이행  ...        남      36세         경상   \n",
       "42       1          차대차 - 기타    안전운전불이행  ...        남      40세       부상신고   \n",
       "\n",
       "   피해운전자 차종 피해운전자 성별 피해운전자 연령 피해운전자 상해정도   사고연도 사고시간    지역  \n",
       "0       NaN      NaN      NaN        NaN  2017년  10시   강원도  \n",
       "1        승용        여      58세       상해없음  2017년  18시   강원도  \n",
       "2        승용        여      29세         경상  2017년  17시   강원도  \n",
       "3       NaN      NaN      NaN        NaN  2017년  14시   강원도  \n",
       "4       미분류      미분류      미분류        미분류  2017년  02시   강원도  \n",
       "..      ...      ...      ...        ...    ...  ...   ...  \n",
       "38       승용        남      23세       상해없음  2019년  07시  충청북도  \n",
       "39       승용        남      39세       상해없음  2019년  09시  충청북도  \n",
       "40       이륜        남      38세       상해없음  2019년  19시  충청북도  \n",
       "41       이륜        남      46세       상해없음  2019년  21시  충청북도  \n",
       "42       승용        남      59세       상해없음  2019년  16시  충청북도  \n",
       "\n",
       "[789 rows x 23 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_PM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "안전운전불이행      490\n",
       "기타            74\n",
       "신호위반          74\n",
       "중앙선침범         51\n",
       "교차로운행방법위반     33\n",
       "불법유턴          21\n",
       "안전거리미확보       16\n",
       "직진우회전진행방해     16\n",
       "보행자보호의무위반     11\n",
       "차로위반           3\n",
       "Name: 법규위반, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_PM[\"법규위반\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (15,10))\n",
    "sns.countplot(data=new_PM, x=\"법규위반\",palette = \"Set3\")\n",
    "plt.title(\"개인형 이동수단(PM) 교통사고 법규위반\", fontsize = 25)\n",
    "plt.xlabel('법규위반', fontsize = 20)\n",
    "plt.ylabel('건', fontsize = 20)\n",
    "plt.xticks(rotation = -45, fontsize = 15)\n",
    "\n",
    "plt.savefig(\"output/개인형 이동수단(PM) 교통사고 법규위반.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (20,15))\n",
    "sns.countplot(data=new_PM, x=\"사고유형\",palette = \"Set3\")\n",
    "plt.title(\"개인형 이동수단(PM) 교통사고 사고유형\", fontsize = 25)\n",
    "plt.xlabel('사고유형', fontsize = 20)\n",
    "plt.ylabel('건', fontsize = 20)\n",
    "plt.xticks(rotation = -45, fontsize = 15)\n",
    "\n",
    "plt.savefig(\"output/개인형 이동수단(PM) 교통사고 사고유형.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "ratio = [34, 32, 16, 18]\n",
    "labels = ['Apple', 'Banana', 'Melon', 'Grapes']\n",
    "\n",
    "plt.pie(ratio, labels=labels, autopct='%.1f%%')\n",
    "plt.show()\n",
    "\"\"\"\n",
    "\n",
    "## 연령대별 구분\n",
    "\n",
    "age = new_PM[[\"가해운전자 연령\",\"가해운전자 성별\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "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>가해운전자 연령</th>\n",
       "      <th>가해운전자 성별</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>73세</td>\n",
       "      <td>여</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>45세</td>\n",
       "      <td>남</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>67세</td>\n",
       "      <td>남</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>33세</td>\n",
       "      <td>남</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>39세</td>\n",
       "      <td>남</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>58세</td>\n",
       "      <td>여</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>22세</td>\n",
       "      <td>남</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>60세</td>\n",
       "      <td>남</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>36세</td>\n",
       "      <td>남</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>40세</td>\n",
       "      <td>남</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>789 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   가해운전자 연령 가해운전자 성별\n",
       "0       73세        여\n",
       "1       45세        남\n",
       "2       67세        남\n",
       "3       33세        남\n",
       "4       39세        남\n",
       "..      ...      ...\n",
       "38      58세        여\n",
       "39      22세        남\n",
       "40      60세        남\n",
       "41      36세        남\n",
       "42      40세        남\n",
       "\n",
       "[789 rows x 2 columns]"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "가해운전자 연령    object\n",
       "가해운전자 성별    object\n",
       "dtype: object"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "age.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "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>가해운전자 연령</th>\n",
       "      <th>가해운전자 성별</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>73세</td>\n",
       "      <td>여</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>45세</td>\n",
       "      <td>남</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>67세</td>\n",
       "      <td>남</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>33세</td>\n",
       "      <td>남</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>39세</td>\n",
       "      <td>남</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>58세</td>\n",
       "      <td>여</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>22세</td>\n",
       "      <td>남</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>60세</td>\n",
       "      <td>남</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>36세</td>\n",
       "      <td>남</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>40세</td>\n",
       "      <td>남</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>789 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   가해운전자 연령 가해운전자 성별\n",
       "0       73세        여\n",
       "1       45세        남\n",
       "2       67세        남\n",
       "3       33세        남\n",
       "4       39세        남\n",
       "..      ...      ...\n",
       "38      58세        여\n",
       "39      22세        남\n",
       "40      60세        남\n",
       "41      36세        남\n",
       "42      40세        남\n",
       "\n",
       "[789 rows x 2 columns]"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    73\n",
      "1    45\n",
      "2    67\n",
      "3    33\n",
      "4    39\n",
      "Name: 가해운전자 연령, dtype: object\n"
     ]
    }
   ],
   "source": [
    "연령 = age[\"가해운전자 연령\"].str.split(\"세\")\n",
    "\n",
    "\n",
    "연령 = 연령.str[0]\n",
    "\n",
    "# 결과를 출력합니다\n",
    "print(연령.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     73\n",
       "1     45\n",
       "2     67\n",
       "3     33\n",
       "4     39\n",
       "      ..\n",
       "38    58\n",
       "39    22\n",
       "40    60\n",
       "41    36\n",
       "42    40\n",
       "Name: 가해운전자 연령, Length: 789, dtype: object"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "연령"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-109-6da5906c3d7d>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  age['연령'] = 연령\n"
     ]
    }
   ],
   "source": [
    "age['연령'] = 연령"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "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>가해운전자 연령</th>\n",
       "      <th>가해운전자 성별</th>\n",
       "      <th>연령</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>73세</td>\n",
       "      <td>여</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>45세</td>\n",
       "      <td>남</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>67세</td>\n",
       "      <td>남</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>33세</td>\n",
       "      <td>남</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>39세</td>\n",
       "      <td>남</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>58세</td>\n",
       "      <td>여</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>22세</td>\n",
       "      <td>남</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>60세</td>\n",
       "      <td>남</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>36세</td>\n",
       "      <td>남</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>40세</td>\n",
       "      <td>남</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>789 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   가해운전자 연령 가해운전자 성별  연령\n",
       "0       73세        여  73\n",
       "1       45세        남  45\n",
       "2       67세        남  67\n",
       "3       33세        남  33\n",
       "4       39세        남  39\n",
       "..      ...      ...  ..\n",
       "38      58세        여  58\n",
       "39      22세        남  22\n",
       "40      60세        남  60\n",
       "41      36세        남  36\n",
       "42      40세        남  40\n",
       "\n",
       "[789 rows x 3 columns]"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "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>가해운전자 연령</th>\n",
       "      <th>가해운전자 성별</th>\n",
       "      <th>연령</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>10세</td>\n",
       "      <td>남</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10세</td>\n",
       "      <td>남</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>10세</td>\n",
       "      <td>남</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10세</td>\n",
       "      <td>남</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10세</td>\n",
       "      <td>남</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>미분류</td>\n",
       "      <td>기타불명</td>\n",
       "      <td>미분류</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>미분류</td>\n",
       "      <td>기타불명</td>\n",
       "      <td>미분류</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>미분류</td>\n",
       "      <td>기타불명</td>\n",
       "      <td>미분류</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>미분류</td>\n",
       "      <td>기타불명</td>\n",
       "      <td>미분류</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>미분류</td>\n",
       "      <td>기타불명</td>\n",
       "      <td>미분류</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>789 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    가해운전자 연령 가해운전자 성별   연령\n",
       "131      10세        남   10\n",
       "3        10세        남   10\n",
       "27       10세        남   10\n",
       "6        10세        남   10\n",
       "6        10세        남   10\n",
       "..       ...      ...  ...\n",
       "10       미분류     기타불명  미분류\n",
       "13       미분류     기타불명  미분류\n",
       "105      미분류     기타불명  미분류\n",
       "0        미분류     기타불명  미분류\n",
       "149      미분류     기타불명  미분류\n",
       "\n",
       "[789 rows x 3 columns]"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "age = age.sort_values(by='연령', ascending=True)\n",
    "age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-120-0d4260bbdbca>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  age['연령'] = pd.to_numeric(age['연령'])\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>가해운전자 연령</th>\n",
       "      <th>가해운전자 성별</th>\n",
       "      <th>연령</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>10세</td>\n",
       "      <td>남</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10세</td>\n",
       "      <td>남</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>10세</td>\n",
       "      <td>남</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10세</td>\n",
       "      <td>남</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10세</td>\n",
       "      <td>남</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9세</td>\n",
       "      <td>남</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>90세 이상</td>\n",
       "      <td>남</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>90세 이상</td>\n",
       "      <td>남</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>90세 이상</td>\n",
       "      <td>남</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>90세 이상</td>\n",
       "      <td>남</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>782 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    가해운전자 연령 가해운전자 성별  연령\n",
       "131      10세        남  10\n",
       "3        10세        남  10\n",
       "27       10세        남  10\n",
       "6        10세        남  10\n",
       "6        10세        남  10\n",
       "..       ...      ...  ..\n",
       "10        9세        남   9\n",
       "1     90세 이상        남  90\n",
       "31    90세 이상        남  90\n",
       "6     90세 이상        남  90\n",
       "7     90세 이상        남  90\n",
       "\n",
       "[782 rows x 3 columns]"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "age['연령'] = pd.to_numeric(age['연령'])\n",
    "age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "가해운전자 연령    object\n",
       "가해운전자 성별    object\n",
       "연령           int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "age.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "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>가해운전자 연령</th>\n",
       "      <th>가해운전자 성별</th>\n",
       "      <th>연령</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6세</td>\n",
       "      <td>남</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>6세</td>\n",
       "      <td>여</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>7세</td>\n",
       "      <td>남</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>8세</td>\n",
       "      <td>남</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9세</td>\n",
       "      <td>남</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>89세</td>\n",
       "      <td>남</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>90세 이상</td>\n",
       "      <td>남</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>90세 이상</td>\n",
       "      <td>남</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>90세 이상</td>\n",
       "      <td>남</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>90세 이상</td>\n",
       "      <td>남</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>782 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    가해운전자 연령 가해운전자 성별  연령\n",
       "0         6세        남   6\n",
       "9         6세        여   6\n",
       "25        7세        남   7\n",
       "20        8세        남   8\n",
       "10        9세        남   9\n",
       "..       ...      ...  ..\n",
       "199      89세        남  89\n",
       "6     90세 이상        남  90\n",
       "1     90세 이상        남  90\n",
       "31    90세 이상        남  90\n",
       "7     90세 이상        남  90\n",
       "\n",
       "[782 rows x 3 columns]"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "age = age.sort_values(by='연령', ascending=True)\n",
    "age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "age = age[~age[\"가해운전자 연령\"].str.contains(\"미분류\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (20,15))\n",
    "\n",
    "sns.countplot(data=age, x=\"연령\",palette = \"Set3\")\n",
    "\n",
    "plt.title(\"개인형 이동수단(PM) 교통사고 가해자 연령\", fontsize = 25)\n",
    "plt.xlabel('연령', fontsize = 20)\n",
    "plt.ylabel('건', fontsize = 20)\n",
    "plt.xticks(rotation = -45, fontsize = 10)\n",
    "\n",
    "plt.savefig(\"output/개인형 이동수단(PM) 교통사고 가해자 연령.png\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_PM_year = new_PM[[\"사고연도\",\"사고유형\",\"법규위반\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "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>사고연도</th>\n",
       "      <th>사고유형</th>\n",
       "      <th>법규위반</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017년</td>\n",
       "      <td>117</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018년</td>\n",
       "      <td>225</td>\n",
       "      <td>225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019년</td>\n",
       "      <td>447</td>\n",
       "      <td>447</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    사고연도  사고유형  법규위반\n",
       "0  2017년   117   117\n",
       "1  2018년   225   225\n",
       "2  2019년   447   447"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_PM_year.groupby(by=['사고연도'], as_index=False).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "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>사고유형</th>\n",
       "      <th>사고연도</th>\n",
       "      <th>법규위반</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>차대사람 - 기타</td>\n",
       "      <td>102</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>차대사람 - 길가장자리구역통행중</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>차대사람 - 보도통행중</td>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>차대사람 - 차도통행중</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>차대사람 - 횡단중</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>194</td>\n",
       "      <td>194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>차대차 - 정면충돌</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>차대차 - 추돌</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>218</td>\n",
       "      <td>218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>차량단독 - 공작물충돌</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>차량단독 - 기타</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>차량단독 - 도로외이탈 - 기타</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>차량단독 - 도로외이탈 - 추락</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>차량단독 - 전도전복</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>차량단독 - 전도전복 - 전도</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>차량단독 - 전도전복 - 전복</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 사고유형  사고연도  법규위반\n",
       "0           차대사람 - 기타   102   102\n",
       "1   차대사람 - 길가장자리구역통행중     7     7\n",
       "2        차대사람 - 보도통행중    51    51\n",
       "3        차대사람 - 차도통행중    17    17\n",
       "4          차대사람 - 횡단중    47    47\n",
       "5            차대차 - 기타   194   194\n",
       "6          차대차 - 정면충돌    32    32\n",
       "7            차대차 - 추돌    17    17\n",
       "8          차대차 - 측면충돌   218   218\n",
       "9        차량단독 - 공작물충돌    11    11\n",
       "10          차량단독 - 기타    56    56\n",
       "11  차량단독 - 도로외이탈 - 기타     1     1\n",
       "12  차량단독 - 도로외이탈 - 추락     1     1\n",
       "13        차량단독 - 전도전복    12    12\n",
       "14   차량단독 - 전도전복 - 전도    21    21\n",
       "15   차량단독 - 전도전복 - 전복     2     2"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_PM_year.groupby(by=[\"사고유형\"], as_index=False).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "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>법규위반</th>\n",
       "      <th>사고연도</th>\n",
       "      <th>사고유형</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>교차로운행방법위반</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>기타</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>보행자보호의무위반</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>불법유턴</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>신호위반</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>안전거리미확보</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>안전운전불이행</td>\n",
       "      <td>490</td>\n",
       "      <td>490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>중앙선침범</td>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>직진우회전진행방해</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>차로위반</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        법규위반  사고연도  사고유형\n",
       "0  교차로운행방법위반    33    33\n",
       "1         기타    74    74\n",
       "2  보행자보호의무위반    11    11\n",
       "3       불법유턴    21    21\n",
       "4       신호위반    74    74\n",
       "5    안전거리미확보    16    16\n",
       "6    안전운전불이행   490   490\n",
       "7      중앙선침범    51    51\n",
       "8  직진우회전진행방해    16    16\n",
       "9       차로위반     3     3"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_PM_year.groupby(by=['법규위반'], as_index=False).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "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>사고연도</th>\n",
       "      <th>사고유형</th>\n",
       "      <th>법규위반</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017년</td>\n",
       "      <td>차량단독 - 전도전복 - 전복</td>\n",
       "      <td>안전운전불이행</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017년</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>불법유턴</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017년</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>교차로운행방법위반</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017년</td>\n",
       "      <td>차량단독 - 기타</td>\n",
       "      <td>안전운전불이행</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017년</td>\n",
       "      <td>차량단독 - 전도전복</td>\n",
       "      <td>안전운전불이행</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2019년</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>안전운전불이행</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2019년</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>안전운전불이행</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2019년</td>\n",
       "      <td>차대차 - 측면충돌</td>\n",
       "      <td>안전운전불이행</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2019년</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>안전운전불이행</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2019년</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>안전운전불이행</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>789 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     사고연도              사고유형       법규위반\n",
       "0   2017년  차량단독 - 전도전복 - 전복    안전운전불이행\n",
       "1   2017년        차대차 - 측면충돌       불법유턴\n",
       "2   2017년        차대차 - 측면충돌  교차로운행방법위반\n",
       "3   2017년         차량단독 - 기타    안전운전불이행\n",
       "4   2017년       차량단독 - 전도전복    안전운전불이행\n",
       "..    ...               ...        ...\n",
       "38  2019년        차대차 - 측면충돌    안전운전불이행\n",
       "39  2019년          차대차 - 기타    안전운전불이행\n",
       "40  2019년        차대차 - 측면충돌    안전운전불이행\n",
       "41  2019년          차대차 - 기타    안전운전불이행\n",
       "42  2019년          차대차 - 기타    안전운전불이행\n",
       "\n",
       "[789 rows x 3 columns]"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_PM_year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (15,10))\n",
    "sns.countplot(data=new_PM_year, x=\"사고유형\",palette = \"Set3\")\n",
    "#plt.title(\"개인형 이동수단(PM) 교통사고 법규위반\", fontsize = 25)\n",
    "#plt.xlabel('법규위반', fontsize = 20)\n",
    "#plt.ylabel('건', fontsize = 20)\n",
    "plt.xticks(rotation = -45, fontsize = 15)\n",
    "plt.show()\n",
    "#plt.savefig(\"output/개인형 이동수단(PM) 교통사고 법규위반.png\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pydatavenv",
   "language": "python",
   "name": "pydatavenv"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}