TAAS_victim_visualization.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1efa5931",
   "metadata": {},
   "source": [
    "# 2021-2023 피해 이륜 차종 데이터 (14944 rows)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5de2d54e",
   "metadata": {},
   "source": [
    "## 데이터프레임 불러오기(21_23피해이륜차종.csv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "32730b83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .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>2021010100100015</td>\n",
       "      <td>2021년 1월 1일 01시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>서울특별시 강북구 미아동</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>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>57세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>26세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021010100100060</td>\n",
       "      <td>2021년 1월 1일 11시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>서울특별시 중랑구 중화동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>교차로 - 교차로안</td>\n",
       "      <td>화물</td>\n",
       "      <td>남</td>\n",
       "      <td>67세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>60세</td>\n",
       "      <td>중상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021010100100098</td>\n",
       "      <td>2021년 1월 1일 14시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>서울특별시 금천구 독산동</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>교차로 - 교차로안</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>28세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>50세</td>\n",
       "      <td>중상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021010100100181</td>\n",
       "      <td>2021년 1월 1일 19시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>서울특별시 동대문구 전농동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>59세</td>\n",
       "      <td>경상</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>22세</td>\n",
       "      <td>부상신고</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021010100100182</td>\n",
       "      <td>2021년 1월 1일 19시</td>\n",
       "      <td>금요일</td>\n",
       "      <td>서울특별시 광진구 화양동</td>\n",
       "      <td>경상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 추돌</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>58세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>23세</td>\n",
       "      <td>경상</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>14939</th>\n",
       "      <td>2023123100100185</td>\n",
       "      <td>2023년 12월 31일 16시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>서울특별시 마포구 망원동</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>흐림</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>승합</td>\n",
       "      <td>남</td>\n",
       "      <td>73세</td>\n",
       "      <td>기타불명</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>30세</td>\n",
       "      <td>부상신고</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14940</th>\n",
       "      <td>2023123100100255</td>\n",
       "      <td>2023년 12월 31일 19시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>서울특별시 동대문구 이문동</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>기타 - 기타</td>\n",
       "      <td>승용</td>\n",
       "      <td>여</td>\n",
       "      <td>64세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>57세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14941</th>\n",
       "      <td>2023123100100271</td>\n",
       "      <td>2023년 12월 31일 20시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>서울특별시 성북구 돈암동</td>\n",
       "      <td>중상사고</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>차대차 - 기타</td>\n",
       "      <td>...</td>\n",
       "      <td>맑음</td>\n",
       "      <td>단일로 - 기타</td>\n",
       "      <td>화물</td>\n",
       "      <td>남</td>\n",
       "      <td>53세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>51세</td>\n",
       "      <td>중상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14942</th>\n",
       "      <td>2023123100100272</td>\n",
       "      <td>2023년 12월 31일 20시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>서울특별시 금천구 가산동</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>화물</td>\n",
       "      <td>남</td>\n",
       "      <td>62세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>23세</td>\n",
       "      <td>경상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14943</th>\n",
       "      <td>2023123100100291</td>\n",
       "      <td>2023년 12월 31일 21시</td>\n",
       "      <td>일요일</td>\n",
       "      <td>서울특별시 강서구 마곡동</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>교차로 - 교차로부근</td>\n",
       "      <td>승용</td>\n",
       "      <td>남</td>\n",
       "      <td>63세</td>\n",
       "      <td>상해없음</td>\n",
       "      <td>이륜</td>\n",
       "      <td>남</td>\n",
       "      <td>39세</td>\n",
       "      <td>중상</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14944 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   사고번호               사고일시   요일             시군구    사고내용  사망자수  \\\n",
       "0      2021010100100015    2021년 1월 1일 01시  금요일   서울특별시 강북구 미아동    경상사고     0   \n",
       "1      2021010100100060    2021년 1월 1일 11시  금요일   서울특별시 중랑구 중화동    중상사고     0   \n",
       "2      2021010100100098    2021년 1월 1일 14시  금요일   서울특별시 금천구 독산동    중상사고     0   \n",
       "3      2021010100100181    2021년 1월 1일 19시  금요일  서울특별시 동대문구 전농동    경상사고     0   \n",
       "4      2021010100100182    2021년 1월 1일 19시  금요일   서울특별시 광진구 화양동    경상사고     0   \n",
       "...                 ...                ...  ...             ...     ...   ...   \n",
       "14939  2023123100100185  2023년 12월 31일 16시  일요일   서울특별시 마포구 망원동  부상신고사고     0   \n",
       "14940  2023123100100255  2023년 12월 31일 19시  일요일  서울특별시 동대문구 이문동    경상사고     0   \n",
       "14941  2023123100100271  2023년 12월 31일 20시  일요일   서울특별시 성북구 돈암동    중상사고     0   \n",
       "14942  2023123100100272  2023년 12월 31일 20시  일요일   서울특별시 금천구 가산동    경상사고     0   \n",
       "14943  2023123100100291  2023년 12월 31일 21시  일요일   서울특별시 강서구 마곡동    중상사고     0   \n",
       "\n",
       "       중상자수  경상자수  부상신고자수        사고유형  ... 기상상태         도로형태 가해운전자 차종  \\\n",
       "0         0     1       0    차대차 - 기타  ...   맑음     단일로 - 기타       승용   \n",
       "1         1     0       0    차대차 - 기타  ...   맑음   교차로 - 교차로안       화물   \n",
       "2         1     0       0  차대차 - 측면충돌  ...   맑음   교차로 - 교차로안       승용   \n",
       "3         0     1       1    차대차 - 기타  ...   맑음     단일로 - 기타       승용   \n",
       "4         0     1       0    차대차 - 추돌  ...   맑음     단일로 - 기타       승용   \n",
       "...     ...   ...     ...         ...  ...  ...          ...      ...   \n",
       "14939     0     0       1  차대차 - 측면충돌  ...   흐림     단일로 - 기타       승합   \n",
       "14940     0     1       0    차대차 - 기타  ...   맑음      기타 - 기타       승용   \n",
       "14941     1     0       0    차대차 - 기타  ...   맑음     단일로 - 기타       화물   \n",
       "14942     0     1       0    차대차 - 기타  ...   맑음     단일로 - 기타       화물   \n",
       "14943     1     0       0    차대차 - 추돌  ...   맑음  교차로 - 교차로부근       승용   \n",
       "\n",
       "      가해운전자 성별 가해운전자 연령 가해운전자 상해정도 피해운전자 차종 피해운전자 성별 피해운전자 연령 피해운전자 상해정도  \n",
       "0            남      57세       상해없음       이륜        남      26세         경상  \n",
       "1            남      67세       상해없음       이륜        남      60세         중상  \n",
       "2            남      28세       상해없음       이륜        남      50세         중상  \n",
       "3            남      59세         경상       이륜        남      22세       부상신고  \n",
       "4            남      58세       상해없음       이륜        남      23세         경상  \n",
       "...        ...      ...        ...      ...      ...      ...        ...  \n",
       "14939        남      73세       기타불명       이륜        남      30세       부상신고  \n",
       "14940        여      64세       상해없음       이륜        남      57세         경상  \n",
       "14941        남      53세       상해없음       이륜        남      51세         중상  \n",
       "14942        남      62세       상해없음       이륜        남      23세         경상  \n",
       "14943        남      63세       상해없음       이륜        남      39세         중상  \n",
       "\n",
       "[14944 rows x 22 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "victim_df=pd.read_csv('21_23피해이륜차종.csv', encoding='utf-8')\n",
    "victim_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bee247f0",
   "metadata": {},
   "source": [
    "## 결측치 확인"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cea46e41",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "사고번호          0\n",
       "사고일시          0\n",
       "요일            0\n",
       "시군구           0\n",
       "사고내용          0\n",
       "사망자수          0\n",
       "중상자수          0\n",
       "경상자수          0\n",
       "부상신고자수        0\n",
       "사고유형          0\n",
       "법규위반          0\n",
       "노면상태          0\n",
       "기상상태          0\n",
       "도로형태          0\n",
       "가해운전자 차종      0\n",
       "가해운전자 성별      0\n",
       "가해운전자 연령      0\n",
       "가해운전자 상해정도    0\n",
       "피해운전자 차종      0\n",
       "피해운전자 성별      0\n",
       "피해운전자 연령      0\n",
       "피해운전자 상해정도    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "victim_df.isnull().sum() #결측치 없음"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c922a4a",
   "metadata": {},
   "source": [
    "## 가해운전자 차종 비율"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "dcf99c8b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['승용', '화물', '이륜', '개인형이동수단(PM)', '자전거', '승합', '기타불명', '건설기계',\n",
       "       '원동기', '특수'], dtype=object)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "victim_df['가해운전자 차종'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d38c51e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "승용             10244\n",
       "이륜              1980\n",
       "화물              1132\n",
       "승합               675\n",
       "기타불명             362\n",
       "자전거              319\n",
       "개인형이동수단(PM)       97\n",
       "건설기계              68\n",
       "원동기               45\n",
       "특수                22\n",
       "Name: 가해운전자 차종, dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#가해 차종에 따른 사고 건수\n",
    "crash_counts=victim_df['가해운전자 차종'].value_counts()\n",
    "crash_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "06b4af1f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "승용             68.549251\n",
       "이륜             13.249465\n",
       "화물              7.574946\n",
       "승합              4.516863\n",
       "기타불명            2.422377\n",
       "자전거             2.134636\n",
       "개인형이동수단(PM)     0.649090\n",
       "건설기계            0.455032\n",
       "원동기             0.301124\n",
       "특수              0.147216\n",
       "Name: 가해운전자 차종, dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#가해 차종에 따른 사고 비율\n",
    "crash_proportion=victim_df['가해운전자 차종'].value_counts(normalize=True) * 100\n",
    "crash_proportion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "19ae67d6",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rc('font', family='Malgun Gothic')\n",
    "plt.figure(figsize=(10, 6))\n",
    "crash_counts.plot(kind='bar', color='skyblue')\n",
    "\n",
    "# Add title and labels\n",
    "plt.title('가해 차종에 따른 사고 건수', fontsize=15)\n",
    "plt.xlabel('가해운전자 차종', fontsize=12)\n",
    "plt.ylabel('사고 건수', fontsize=12)\n",
    "\n",
    "# Display the plot\n",
    "plt.xticks(rotation=45, ha='right', fontsize=10)\n",
    "plt.yticks(fontsize=10)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fb14324c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 막대 그래프 생성\n",
    "plt.rc('font', family='Malgun Gothic')\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.barplot(x=crash_counts.index, y=crash_counts.values, palette=\"pastel\")\n",
    "\n",
    "# 그래프 제목 및 축 레이블 설정\n",
    "plt.title('가해 차종에 따른 사고 건수', fontsize=15)\n",
    "plt.xlabel('가해운전자 차종', fontsize=12)\n",
    "plt.ylabel('건수', fontsize=12)\n",
    "plt.xticks(rotation=45, ha='right')  # x축 레이블 회전\n",
    "\n",
    "# 그래프 표시\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c8b5d0f",
   "metadata": {},
   "source": [
    "## 가해 차종 비율에 따른 피해 운전자 상해 정도"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f0fd8e42",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['경상', '중상', '부상신고', '상해없음', '사망', '기타불명'], dtype=object)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "victim_df['피해운전자 상해정도'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "255b35d3",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "경상      9388\n",
       "중상      4555\n",
       "부상신고     523\n",
       "상해없음     373\n",
       "사망        55\n",
       "기타불명      50\n",
       "Name: 피해운전자 상해정도, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "victim_df['피해운전자 상해정도'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "16930723",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "경상      62.821199\n",
       "중상      30.480460\n",
       "부상신고     3.499732\n",
       "상해없음     2.495985\n",
       "사망       0.368041\n",
       "기타불명     0.334582\n",
       "Name: 피해운전자 상해정도, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "injury_ratio=victim_df['피해운전자 상해정도'].value_counts(normalize=True)*100\n",
    "injury_ratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9a0d459b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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n4vP5iI+P57bbbuOss84iPz8fu92O2+0mLy+PadOm4fF42t3r008/xTAM5s+fz09/+lNefPFFwN+B/9Of/hTLstixYwfJycm43W5+9atfMWfOHFwuF0VFRW2ju9auXcvo0aNxu92UlZUxbNgwAOrq6li5cuVBn/OoUaPIyckJ/A9TRBVp8hKiiw499FB++tOfEh8fD0Bqair33HMPw4YN48MPPwTgjDPOYMaMGWiaxtVXX83f/vY34uLi0HWd2267jbi4OObNm9d2zVWrVvGzn/2srZMdwOFw0K9fv7bhvrtrPieccAIPP/wwzc3N/OlPf+LLL7/krLPO4l//+heffPIJo0aNYsqUKfztb3/jn//8Jy6Xi7vvvpsXXniBiooKnnvuOe666y4A0tLSOPLII/nrX//Kd999t88Q4f79+7f1vRzIkiVLOPzwwzv181uxYgXDhg0jOTm5U8eLyCGBIkQX7TlPBMBms7V94t9TTk4OHo8Hm81GQkLCAa/51FNPAfD222+3zS8pKiri1ltv5ZVXXgHgxhtv5NFHH2XBggXk5uaSn59/0Dkil112GbquU1lZCfjnoGzYsGGf49566y0effRRJk2a1PaYYRhMmTJln2NvvvlmfvnLXzJw4MC2xx588MEOA+Whhx5i+vTpHHrooW2PzZs3j8suu6xdoPz2t7+lvLx8n/MNw2DhwoUHfI6i95BAESLEfve733HmmWdy/vnnY7PZAP/kyPz8fK699lqcTifgb9YqKSnhoosu4l//+heJiYncdNNNbdd59dVXue+++6ivr2fZsmXs2LGDG264oV0IPPPMM7hcLi666CI8Hg/z58/nkEMO4bPPPuOoo45qV665c+eSmJjY9u+959TsVldXR21tbbtA2R+v17tPM15HHn744X0eMwyDc88996Dnit5DAkWIANrzDR/A5XK165AHyMrK2mfplaamJu677z6Ki4vbHuvTpw/33XcfQ4cO7fBeZ599Nv369ePTTz/lrLPO4plnnuHss89ud8yeNZQbbriBSy+9lClTpnDTTTfRr1+//V4bQNO0fWpAtbW1VFZW8tZbbzFx4sS2x0tKSjj33HP5zW9+026ocVFREU6nk2OOOWa/9zmQ3c19IjJIoAjRCyQlJXHnnXd2+bzp06czffp0AO65555239tzuRbw1xZ2137uv//+dm/W48aNo6amZp/r7zmyyzAM5s6dy9y5c1m0aBELFixoWzFg8ODB+wRnYWEhycnJLF++nG3btu0zmbIj9fX16LpOcnIyXq+XpKSkg54jeg8JFCFixO4wgX0/+T/xxBMHPHfP4c0FBQUUFBTw6KOPMm/ePM4777x9ji8vL+euu+7ikUceobm5mRtvvJE777zzgDUi8E8UTUlJ4Sc/+QktLS2kpKR04RmKcJNAESKG7Z5IeTC/+c1v+J//+Z92NZZrrrmm7evdtSTwLyFz2223ceedd5KdnU12djZ//etfWbZs2UEDZU8NDQ1kZmZ2+ngRfhIoQsSwsWPH7tNU9ZOf/GS/I6uam5t54IEHWLNmTduAgszMTK6//vq2YxwOB0899RSNjY2sWLGCSZMmMWDAAAYMGNClsg0ZMoS5c+d28RmJcJJAEUJ02r333svYsWO5/fbb2x4rKiriuuuu2yeEduzYwbx589oNRYb2fT1715CqqqrQdZ2XX3653Tl7d/aL3kkCRQjRaUqpffpfdtdUuqOjGpKIXBIoQoh2xo0bt9/v3XTTTdx3330sXLgQu93/9pGamsrf/va3Do///PPP2+35stuFF17IqaeeGpgCi15D1vISQggREDJrSAghREBIk5eIGUopTAuUgj2r5brm/6NpYFhgWmAp1XacUpDkBMPdBJqG3ZWAadnAAs3mP8BmAywTLLXrBgo0QNfBZvdfXIgoJ4EiooZSCmNXYGga2HTwmdDitWj0KOpbLVq8Cq+p8BrgNRW+Pb42rP1f++JpiZQt9Xce9512JtXlWVRuBVcCDJ+q4PlnwekEh2PX305wuSA+AZKSICUFEpMhIQHi4sCy/AGkaWB3SOCIqCCBIiKSz/TXIOw2aPEqalos6losmjyKJq//7xavwgpGD6GmY+0KH90GWPhTzOPx/+mM+ARITobkFH/YpGdAaiokJfvDRil/OEnQiAgigSJ6NUspjF0f5DUNGtwWVU3+PzUtFnWtVnBC4wA0XUeZ/q91Gyh1gKrN/rS2+P/srNjr4po/YDIyISsbcnJRmVkYWFhYODXHQZesFyJcJFBEr7I7QGw6NHsV2+tMyhtNanbVPnoDba8aimZ1I1D2Rymor/f/Kdnkbw776YX8p/ItchwZ5Dtz6OfKI92ejKFMHJodXZOxNaJ3kEARYaWUwrcrQFq8im31JtvrTXY2mnjNcJduP/Zp8gpgoOwtMxPT56XWbKDWbGCdezMAds1OP2cOg1x9GRLXj2RbIoYypQYjwkoCRYScafn7P7ymorTWHyAVvTlA9qLpGqpdoASx4JlZ1KvWfR42lMFmz3Y2e7bzacNy4jQX/V25DI7rxyBXX1yaEw2w6/IrLkJHXm0iJAzTP4y22aPYVG2wtcag3t07mrC6StP0tgzRbaAZvqDdS+X1YZtZddDj3MpDsXsrxe6tAKTakhgaN4Ax8UPIcKRiKQun7jjIVYToGQkUETQ+U6FrUNdqsbHKoLTWpNkbmSHSzt6BYgYvUMjKpqT1qy6fVm828V3zGr5rXkOc7mKoqz/jEoaR68yUcBFBI4EiAsq0FAqoabbYUGlQWmfgMcJdqsDStD2bvFTwaihO/1yWkrrtPbqM2/KwunUDq1s3EKc5GRrXn/GJI8hxpAMadq37izsKsScJFNFjuycUmhas2+ljQ6URHTWR/dmjhmKzA74gBUpmFqbhwSJwnf5u5WV160ZWt24k2ZbIuPhhTEgcgV2z4ZAOfdFDEiii2wxToWmwvd6kqMLHjoYgjnbqRTRNaxvYZbMD7uAEisrKpla1BOXaAI1mM182/cCXTT/Q35nHxMSRDI7Lx1JKmsREt0igiC7ZXRtxG4qich+bqqOvSeugNA1r13O22QFvkGooeXlsMw7eIR8Ipd5ySr3luDQHI+MHc0jSGBL1eByaXWototMkUESnWJbCAnY2mvywzUdlU2zURjrSbmKjHfB5g3OjzCw2NBUF59r74VE+VrasZ2XLevKdOUxPKqCfKweUDEEWByevEHFAuzvZt9YYrNzuoyFCh/oGjKbh30LI/6ldtwHeIASKKw4cTrZ6dwT+2p20zbuThTUfcXjyJCbFDf1xmWa7NIeJjkmgiA75TH9wrN/pY025QasvxoNkF03T/W+suwLFZgO8nVwQsiuysjCMIFy3i3R0ChJH4FjxX6gugUFTYfAM0HSwO8NdPNHLSKCIdnymf4XeVdu9rN9pHHBJ95ik6ey5m4pmA9yBf+NXWdnUqOaAX7erRsYPQjcMKF/rf6B4MWxcCv0nwYij/VU0CRaxiwSKAH4MkhWlXjZUGSFfwTdSaLqNPXfN1nU6v2R9V+TlUWZUBv66XTQzuQDnxq/bP2iZsGU5lH7vr7EMO2LXRmLSFBbrJFBinGH6O9tXbfNSVGFgSpAckLbXyr7+QNl3ra0ey8iiuGFV4K/bBf2deSRoLtiwpOMDLAM2fQlbv4Uhh8Lg6bt2NpNgiVUSKDFq9wKNayt8FG734ZOmrU7R9N19KLv+HYwmr/h4sNnY7tsZ2Ot20czkAhw71h78QMML6z+FkmUw/AgYMBnQdo2pFrFE/sdjjKUUlgVbaw2+LfVJZ3tXaXq7Ji9NAzzuwN4jMwtfmDvkM+yp5Dqy0Fb/u/Mn+VphzQf+PpaRx0Dfsf5x1TKPJWZIoMQQn6mobbH4arOHulYJku7QdH2Pr/H3zwd4PxSVnUMVTQG9ZldNSxqHXlvmr310lacJVv4XNn8NBWdAYoZ03McICZQYYFgK04KvSjxsqY2QTUd6Kf+wYf/X/u1/dw8gDqC8PpSFsbkrXo9jRNxAbF8/2bMLNVTAkn9BfgGMPdH/A5P+lagmgRLFlPIHyaZqg29LvfgkS3pO11G7EmV3oARcegbFdd8G4cKdMylhFKqlFpqrA3PBbSuhYh2MngX546UZLIpJoEQpn6lo8SqWbPJQ3Sw97oGydw0l4OOrExJB16kwAvRm3kV2bExKGoVj+SuBvbDhgVVv+4cbT5gNCenSDBaFJFCijGX555N8v81LUbmB9JQElqb/uHeIzUbgqyhZWXiNAHfyd8HohCFoPg9UbgzODRoqYPGT0G8CjD3Jn8q67McSLSRQoojPVOxsNPmyxEuLjN4KDk1vyxB/k1fgO+Qrw9ghPz1pPM71S4N/o7IfoKoEJv8EknOlthIl9IMfIno7y1L4TMXXm70sWu+RMAmiPZdy122gBXiEF7l5lHrLA3vNThrsyidOs/vnk4SCuwGWPgfrPgbTF/DRciL0pIYS4XymotFj8WmxhyaPBEmw+Zde8X+t2/BvUxlI6RlsqP364McFwYzkApxlhaG/8eZv/E1sk8+RvpUIJzWUCGaYirXlPt4udEuYhIqmg9pj6XorgLuLJSUDUGnUBu6anZRtTyfLngZrPgz5vQForvEPMd641F9bCcrwORFsUkOJQIal8BmKTzZ4qIrhja7CQdP1toEOug00M4CBkpWFxwzPDPnpyeOxVW0JbEB2lVKwYTFUrIcpc8CVJPNWIozUUCKMYSpKa01eW9kqYRIGmqaj9qihaN2ZSb4fKjuHChoCdr3OStLjGRLXD33VOyG/d4caK+DzJ2Dnhu7N1BdhI4ESIZTyd7wvLfGweKNH9ikJkz3nodjsCs0I4Cf6MHXIT04aA41V4K4P+b33y/TBd69A0a4OexERJFAigGkp3D7Fe2vcbK6R6e5hpe9RQ7ET2O1/09JZ37olcNfrBIdmpyBhBPbC90N6307b8g189QJ4W/z7sIheTQKllzNMRU2zxZuFrdS2SrUk3LQ95qHY7IARoE/PKamgLOrMxsBcr5PGxg8DbyvUbg3pfbukbht89hjUbZcmsF5OAqUXM0zFxiqD99a68YSxr1T8yL8fyp77yQcoULKyaA1xh7yGxvTk8TiLF4f0vt3ibYEv/+1fukWawHotCZReyjAVyzZ7WbbFK8un9CaaDaX8vzaBbPJS2blUqND2YQyN64dDAVu/C+l9u09B0SJYsVBqKr2UBEovs7u/5P0iNxurpVrS22h6+1FeeANUq8jNZWuIO+RnJk3AueX7kN4zICrWw1fPg88ts+t7GQmUXsQwFU0exZuFrbJCcC+l6Tq7l+/yB0oAPilrGqSmsb51c8+v1Ul5jizS7Emw/uOQ3TOg6nfA4n+BpxECORdI9IgESi9h7NpN8e3VrbhlLa5eS9PsPy69ohOY7X9TU1GmQaPV0vNrddKMpPHYdm6K7E/4rXX+lYubKgM3OEL0iARKL+AzFTsaTN4vcsv8kl5Os+lt78G6DfAEoMkrM5tWK3Qd8im2RAa4+qCvejdk9wwanxuWPgvVJdKv0gtIoISZz1Rsrjb4tNgT8L2aROBpmq2tyUvTAXfPaygqN5cdqq7H1+msKYlj0Rp2gje8+9YHjGXC8nlQukJCJcwkUMJo9+KOX26WkVyRot1qwzrgbu35RXNy2erZ0fPrdIJTczA2YRi2wiionextzQew7hMZVhxGEihhYpiKb0u9fL9NXvwRRf+xhoJGzzvlNQ2SU1jvDs0M+YKE4f6O7PrtIblfyG3+2r9isoRKWEighIFhKr4o8bBup4xOiTS7R3n5d2sMwAXT01GmQYsV/G1/dTSmJo3DUfRp0O8VVlu/hdXvS6iEgSxfH2KGqViyycPWWlmXKBJpmg1rV6AEpJ0yM5vmEIQJwPD4gdgsC7aHYROtUCtdASj/vvWyBH7ISA0lhIxdqwVLmESudjWUAIzIC2WH/MykApybvw3JvXqF0u9h1btSUwkhCZQQMUzFsi1eWS04wmn6njWUAFRRcnLZ7N7W8+scRL4zhyQ9AdZ/GvR79SrbfoBVb0uohIgESggYpmJ5qZeNVdJnEvG0H2soPR7nreuQlMQGd/BX+p2RVICjfF3Q79MrbVsFK9+SUAkBCZQgM0zFim1e1ksHfFTQ9gyUnrZ5pWdg+Xy4VXDnTqTZkunrzEErfC+o9+nVthdK81cISKAEkc9UrNzuY225hEm00HT9xyavni5bkpVNkwp+h/zUpHHoddvBCE3nf6+17QfYsEQmPwaRBEqQ+ExFUYWPwh3yiSiqaP5Asdno8Q6CKjeP7VZNYMq1H3Gai1Hxg7EV9pL94sNtwxJ/bUVCJSgkUILAMBWltQYryiRMoo2m6yhzVw2lp/vJZ2ez2RPcCYYTE0f694pvrAzqfSLKqnegeossKBkEEigBZlqK2laLpSXyCSgaadqPTV5aT9rjbTZITGJja/A65G3oTE4ajWPNoqDdIzIp+G6Bf5ViWfo+oCRQAsiyFK0+xaJ1blnoMVppGtauGorWk2aTjEwsnxcvwXtDGxk/GN3wQUWMju46EMuEZf8Bd0OPmy7FjyRQAsiw4IMiN155fUattlFedoXWkyavrGwaVAAWljyAmckFODctC+o9IprhgS937fwYkHV0hARKgBimYtF6N00eeWFGtV01FLsd8HW/huLvkK8OXLn2MsDVh3jNCRuXBu0eUcHT6K+pyHDigJBACYDdS6pUNsnuWNGurQ/FDvh68CaUnc2mIM6Qn5lUgHPbmqBdP6o07oQf3pBQCQAJlB7ymYrV5T5ZUiVWaJp/2LAd8HbzDcjugPh4StylAS3abpn2NHIcmbD2g6BcPyqVF0HJMhlO3EOy2nAPmJZiZ6PJD7KnScTavOYbPp73MD5PK421lWTk9ic5PYfTrphLfFIqKz5ZyJplH/BenElZSTHZfd9lzZq1jBg2kjQHuGvrKK2rY3BmBl7DYHtDA6alyE9Nocnr5b0rf8HOpmZufftdvKZJWnwcD155BZrPS1VpJcue/JgT7jwHTdMC9pymJ43DVlMqb45dte4TSO0LGQN2fWIQXSU1lG5SSuE1FJ9vDN1e4CKwDK+Hd5+9mzOvvgvLNJl6/HnkDR7NgFGT+WTBowCMnn48P7v5cV588UUmjx5EY2MjfXIG4fa0kpGYxJQB/Thy6GAumz6VtPh4NDRevfQi0hMSeP6n56FpGs8v/5bLZ0zjhZ+dz8icHD4v20a1r5Glj37A4b89MaBhkqDHMSx+APoqmcjYLd+9Ar4W6aTvJgmUbjItWLTeg09auiLWxlVf0m/EBCq3l9BvxARmnPpzir/7jIlHn0Xxd58BEJeQDIBhGFTWNtKvXz+GDSwgNTWVqrpa7LpOXWsrKS4X6yurGJ2bw2srCzlr/Fhyk/3n2nWd5l07O9a3uknu359Hn3yMEScWkJidEtDnNClxNDTXQEtwZ+BHLcMDX78k/SndJIHSDT5T8V2Zl5oW6YSPZPVV20nP7tf2tys+Ecs0sTucWKaJafhobarn+f+5jBkzZrCpbCePPPIwSlk0NTViGAbfbC1la20df130CT7TpLSujv98u4LPNm5ie30DAD+feghvrl7DxS/OIyXORVxOHhu3bmTYsWMD+nzsmo1JiaOwr5a+kx5p3Olf8l6aDLtMGgq7yDAV5Q0mRRUywzbSmT4vus3W9jeAbrOhaVrb3/FJqZx0yS0se/kvTB6cxq9/fQ1r1hZz0snHcee0SVBdjdvn45evvMb//uRMLvy/lzh00EC+Ld3Gmc88x+xx4/jDsUfx8FmzAZj7wSIu//WvcWTHsemyJ8kalosrJZ4ZVx2HzWFj4ydr+OrxRST3SQMgb3x/pv3iaJqrGvn03rcwfQZxKfEcd/tZ2Ow26kqr2/phRicMAV8rVJWE60caPbYXQtZg6DtWdnzsAqmhdIFSCu+uLXxF5EvOyKW+urztb6+7FbvDheHzYXe40Hd1zH793os0NDTw7uLv+fLLL/H63Cz5Ygmvf+mfNHj/p59zxYxp/PHd9zl62FCOHjaUCfl98JkWgzPSeaNw9Y83jXPxwN/uoeDcGdhdDvInDyZ9YBbFH6wCwNPYyqhTJ3LG3y/ijL9fxLRfHA3Aqle/YeIFMznj7xeROTSX0mUbsUyrXT/MjKQCnBtk3knAFL4L3lbpT+kCCZQuMC34WPpNosbQCYexaeVS8gaPZtPKpXz17guMnXkSKz55lbEzTwJgZ+kGTrtiLv/3f/+HYSoOnTmTaROO55ZbbuHMMaNYWrIZDX+nerPXy5i8XOpaW6ltaSU9Ph6n3Y7P9L9glpZsxpmcwqjpBTRXNeJr9ZI5LAfdpmMa/mPcDW7iUhP2Katu0/C1+D/IuBtbcSbF8d1/lrT1wwx25ePCBpu/CcWPLjZYBnw73/+36BRNKYnfzvCZiu9KvayTjbKiSvH3i1n82pN4WptoaagjLScfXdeZccrP8bQ28t3Hr6Chk+zwsXHDBsaNH0fJxm1k56bRT1mU1ddzxYxpvFm4huykRD5avwEAj2EwMiebPikp3Hf6KRiWxe9ee5OfX3UV9/3nWbZs3kpCWiKJ2ck4k+M49pYzcMQ7+eaZz9j6VTG6w05qfgZTf3EUybmptNa3sOShd3E3tNKnYAADZw6jcOFyjrnlDAB+mnUKedtLYHUMb6IVLMOPhCEzwe4Md0l6PQmUTjAtRWWTxQdFMb5BUQy7eFoipV/MI3/6T1izxMGYIxT6C093+Trq/J/xatMSNtRuZvGD75I9ui8F50zb9zilKP6wkFWvfs3ZT/yi3fcMj4/3/riA4/50Jqte+Rqrxsv4zJHcNEHDqcuvc8BpGhx+BSRl+7dtFvslP51OsBQslvkmMU/TdJRS6LZuNqu74sDhZKt3B85EF2NmT2bbdx13oGuaxogTxtNU0dDWHLbbsic/YeIFMyn7ehMJGUn85e6/MDw3jTe+Lu5GocRBKQXfLpCmr06QQDkIn6lYttlLq08++cU8zf/r4t9Pvuuvh9q4eMrL/et3KaXYvGQ9fcYPaHdMa11z29dbl20gpU8aNrut7bGyb0tAg36HDMbd0EpSfCKD4/Kxl6/GZ8ow9qBpqYXV78tQ4oOQYcMH4G/qMtlULZ9MhH+3RtTu/eS7HijNiYlc89vfUqMa0HSdPhMGUHDudIre+Z749EQGzhzO8ucWU7luO3anA1dyHLPmntV2vqfJzQ8vf8mJd80BYMQJ41j+l0Vc8tHPSPNWc99PDwvUUxUdKfse+oyBrIG7VgcVe5M+lAPwmYrXV7ZK7URw8bREtn/9BjkTT2LzSheDxxnYXn6uS9dQJ57Mt0l1fN74bUDK5NDsXJU7B+dXL0Jt8HZ+FHtwJsAx14DdFe6S9ErS5LUfPlOxfKs0dYk9tKuhdKN5KSOLDQFcYXhcwnDwNEuYhJK3BYoWSdPXfkigdMCyFHWtFsWV0tQlfuTvlO9moMTHg83Gdt/OwJQFjWlJ43CuXxyQ64ku2PIttNbJhMcOSKB0wEJGdYl9aXt2ynd1H/LMbHxG4F5Tw+L641D42/VF6H3/hoz66oAEyl4MU7G23Cdb+Yp96ba2GopmdG01WpWdTRVNASvKzOQJOLesCNj1RBc1lEPZD7Iq8V4kUPZiWrBqu7xIxL78NRTNHyhdfSPJ60NZgJq7+jiySLElQtEnAbme6KaiRWBKLWVPEih78JmKr7d6MGQ4v+iApvv7UGw21eUaCukZFLcGpvN8RnIBjooN+BtnRdgYXlnmfi8SKLsopWjyKEqqZeVH0TFN84/ysjkAXxcCJSERdI0Ko7rHZUixJdHfmYdW+G6PryUCoHwt1O/o3qi/KCSBsotpwdIS6YgXB6DvavKy07VAycrCG6AO+alJY9Eayv3DV0XvUPgOKPkgChIogH9GfFmdSXWzfMoQ+6dpOpYFti4GisrOoTIAHfIuzcGY+KHYCmVF4V6lqQrK13V95F8UkkDBP5z8m63SDioOzL/0ir9THm8Xahx5fSj1lvf4/gWJI8Hd4G9iEb1L0SJQ8oE05gPFZyoKd/hkRrw4OE1HKQ2bDfB24QNIejrF7p51yOtoTEkcg6Po0x5dRwSJuwG2fhfzw4hjPlCUgtXlsf0iEJ2j7QqULtVQkpJBQZVR16N7j4gfhM0yYcfqgx8swqP485ifPR/TgeIzFSu3e5FVv0Vn+IcN7woUTydrKFlZeMyed8jPTCrAWbK8x9cRQeRzw8YvYnoYcUwHilLIlr6i8zQbSmn+bVE8rZ06RWXnUEFDj27bz5lLoh7v/wQserdNX8V053zMBoohtRPRRZrtx6VX8HSy1pGb1+MO+ZnJE3DsWNuja4gQsQwo+hgCuG5bJInZQLEUrJfaiegCTbOhrF0bN7a6O3dSWjrrW7d0+57pthTyHFloqz/o9jVEiJWtiNklWWIyUHaP7JIlVkRXaPquQNHoXKd8Siooizqzsdv3nJY0DlvtNjA6GWAi/JSCDYtjsi8lJgNFAUUVMrJLdI2m79rbXdG5pTaysmg1ux8E8bqLkQmD0GWZlchT+j3+F0psiblAMUxF4XapnYiu03T/r0tnR4aq7FzKVfc75CcmjIKWOmiq7PY1RJiYPij5JubmpcRcoEjtRHTX7hpKp6ca5OaytZsd8jZ0JieNxr5mUbfOF73A5mXhLkHIxVSgmJaieKfUTkT3aJru7z+xOpEomgapaRS3bu7WvUbFD0EzvLBzfbfOF72AtwW2r46pYcQxFSgKWFsRm6MvRM/92IfSiUBJTUWZBo1W91YFnpFcgHPDV906V/QiG5bE1BpfMRMoSikqG02avbHXUSYCRNdBA9WpDvlsWq3uzUUY6OpLvOaAki+7db7oRVpqoWpzzOyXEjOBYlhQuEP6TkT3+bcAplNvDionlx2qrlv3mZlcgLNM1uyKGsWf+yc8xoCYCRSvqdjREBufEkRwaLoNNNA60yaek8sWT9eXmc+yp5FtT4c173ejhKJXqt8Onp7vhxMJYiJQfKZijdRORE/t6pQ/aKBoGiSnUOzu+gz56UnjsVWXxswn2phR8lVMTHSMiUDRNNhQJb+gomc0TUcDMA7y4SQ9HWUatFhdm9SYqMczNL4/+qq3u11G0UttK9y1xEJ0i/pAsZRic7WBL3ZG7okg0XZ1ymsH+6SZmU1zF8MEYFLiaGiqhta67hVQ9F6GB3ZuiPoRX9EfKBaskQ20RCBoOpqm0IwD13ZVbl6XO+Ttmp2JiSOxyyKQ0Wvz11E/cz7qA6XVp6hrlaHCouc0TfO3WvgO8qaQk8Nm97YuXXts/FDwtUL15m6XT/RyNVujvh8lqgPFMBXFldJ3IgJE1/1L1x8oUGw2SErq8h7y05PH41y/pGflE71flNdSojpQ0KCkWgJFBEbb0iu+A3zKTEvHMnx4VOc/iQ6N649TabD1254XUvRuZT8A0ds5H9WB0uC2ZGa8CBhN27X9r/cAnzCzsmnqYof8jKQCnKUre1Y4ERk8zVBXFu5SBE3UBorPVLIjowis3X0oB9hcS+Xmsd2q6fQlcx2ZZNhToOijABRQRISyH6J2i+CoDRRdgy01EigicDRtVx/KgXZrzM5ms2d7p685PWk8tspNMbPWkwAq1oNmC3cpgiJqA6WqycIjeSICalcNxbOfQLHZICGRja2d65BPtiUyyNVXdmSMNT43NFSEuxRBEZWB4jUV6yujdySFCJPdfSju/fSRZGRiGV68dO6TzJTEMdC4E9zd33NeRKiy76NyCHFUBopNg9JamRovAk/T2H+gZGXToDrXIe/UHIxLGIZ9tSwCGZMq1oEWfW+/0feMgJpmS3ZlFIGnFLoOeDoODX+HfHWnLjUuYbh/xE9t9I74EQfgaYbmzr1WIknUBYphKTZLZ7wICuWfQuDdT1NFdjabOjFDXkNjWtI4HOs+C2zxRGQp++HgC41GmKgLFKVgW700d4nAU0rtf/dfuwPi4ylxlx70OsPjBmC3LNgmc09iWnlR1M1xjLpAMS1ocMtkRhEk+2tKzczE9Hkx9nvAj2YmT8C55bvAlktEntb6qNt4K6oCRSlFWZ00d4kgUQq1vypKVjb1quWgl+jrzCbZlgDS3CUAdm6MqiXtoypQfKaM7hLBpGA/eaLy8thmHryTdUZSAY7yYvZf1RExpXJDVA0fjqpAsemwo0ECRQTR/ma0Z2azyX3gEVtptmT6OXPRVr8XhIKJiFSzFWyOcJciYKIqUGpbZLiwCLKOmrycTnC5DrrkypSksWj1O8B78KYxESMMD7TUhrsUARM1gWJaii01UjsRQaQAq4PXWGYWhuHBOkAzVpzmZHT8EGyrZJkVsZeK9b2uH2XJku7tzWMPcDnCxrSgokkCRQSPQoG572tMZWVTd5AO+QmJI8HdAI3RuYaT6IGqTTBgMjjiAnK5zZs3c+ONN7b9e9WqVYwePRq73f92f9NNN3HIIYe0ff/mm2/ml7/8JQMHDmx77MEHH+Twww/v8r2jJlBsun+GvBBBZXUwijCvD9uMqv2eoqNzSNIYHCv+G8SCiYhVUxrQfpRBgwYxf/58lFI88cQT6LrOmDFjuOWWW3A49r1PXV0dtbW17QKlu6KmyavJo7Bk+okIMq2jmc2ZmWw4wJa/I+MHoRsGlK8NYslExLIMaKwM2OXWrFnDM888wy9/+UsyMzN5+eWXmTp1KldffTWPPvooy5cvbzu2traWyspK3nrrrXbXKCkp4dxzz2Xx4sVdundU1FCUUlQ0SnOXCC4N0PbeT94VBw4nW73l+z1vZnIBzo1fB7dwIrJVboSUnIAsGOlyuZg8eTKXXHIJuu6/3sknn8xJJ53EDz/8gLmr2dYwDObOncvcuXNZtGgRCxYsYM6cOQAMHjyY+fPnd/neUREohoUEigg6BejmXoGSlYXh2/8Kw/2deSRoLtjQvU5OESPqyvzzUXrYj7J69WruuOOOdo/t2LGDPn36tHvskksu4aWXXuKcc86hoKCAgoICHn30UebNm8d5553X7ftHRaAAVDZJ/4kILk3T9tlPXmVlU6017/ecmckFOHZIU5c4iLrtoPd8F8exY8fuU7M444wzOqxtjBkzhkGDBrX9+5prrmn7evr06d26f9QESpNHOlBECOzd5JWXR5m34/bvDHsquY4stNX/DkHBRETzNPn7UgLUOV9VVcVdd93Fjh07SElJ4fzzzyctLY1bb72VAQMGAP7O++bmZh544AHWrFmDzeYPtMzMTK6//vpu3TcqAkVGd4nQ0MC31zIZGVlsaFjV4dHTksah15ZF1dIaIojqKyBrUEAudc8993Daaacxa9astscKCwu57bbbeP7559seu/feexk7diy3335722NFRUVcd911LFy4sMv3jfhRXpalZLkVETp77oUSHw82G9t9O/c5LF6PY0TcQGyr3glh4UREq926/6V9usjhcODea2dRj8ezz7BhpVRbx/1uu2sq3RHxNRTDgmqpoYhQ0DTweH78d2Y2PsPT4aGTEkehWmqjclc+EST15WB6Qe/5BMebbrqJe++9l//85z/YbDYsyyI7O5u77rprn+Puu+8+Fi5c2DbxMTU1lb/97W/dum/EB4qmQb1bAkWEiPfHAFHZ2VSx734WdmxMShyFY/kroSyZiHQNFQHbZz4tLY2//vWvBz0uKSmJO++8MyD3hCho8rJp0Cwd8iIEtL1rKHl9KO2guWt0whA0n8c/t0CIzmqtC1ighEtklx5o9an9bVEhRGBpGnj2aJdOz2BD674z5Kcnjce58asQFkxEjQhfeTjiA0Wau0ToaLC7ozMhEXSNCqN9H8lgVz5xmh1KJFBEN0R4n1tEB4qllHTIi5DRNA1aW/3/yMrC20GH/IzkApxlq0NcMhE1Gnd2vOdOhIjoQDEtqG+N3B++iCxKqbZhnSo7h0oa230/255Olj0N1nwQhtKJqNBc6x/pFaEiepSXUtAgTV4iRJTyLxAJQF4ftnrb79A4PXk8tqotHS9xH6P+Z+E3bKyop8ntY3BOCv8zZzouh42H3vmeJet2oGsaJ08cyC+OGbPPuVc8+TG1zR7inf55EdeePJEpQ3J45/stPP/5WkxLcd7M4ZwzfRgA//vBSgZkJnP6IYND+hwDqqU2omsoER0oNl36UEQI7fl7np5Occ2P/SRJejxD4vqhL/1n6MvVi/3u5AkkxzsBuPHFL3j3hy0kOB1srmrk1etOxmda/PSRDzhkcDYTB2W3O7e+xcsjlxxJn/TEdo8///la/vPrE9A0OP/h9zln+jBWl1VTsrOBX59QELLnFhQttQFZ0ytcIrvJS4FPJsmLUNn9yTEpGRRUG3Vt35qcNAYaq8BdH56y9VK7w6TJ7aWyoZVRfdN589sSLjp8JJqm4bTbOGvqED4qLNvn3PpWD+mJrn0eNy2FxzBx+0ycdhsen8n9b63gtrOmBv35BJ2nKaKHDkd0DcXti9yqoYhAu19uWVl4zB875B2anYKEEdiXvRiecvViXxaX8+DbK9hc2cjVs8YxOj+DbbVN9M9Majumb3oi32/peMfLy5/8GEspjh7Tj8uPGYOua/z2pAlc/dQnOGw2rjtlIg+8vYLLjh5DWgfhE5E8zRCfEu5SdEtEB0qLVwJFhNCuGorKzqGChraHx8YPA28r1Ox/18ZYNXN4Hgt+dzJNbi9zF3zNc5+txWtY2PZYP0rXNXRN2+fc92+ZDUBjq5ebX/qSF79Yz4VHjOSIUX05YlRfwB9YlqUYkJnMLS9/idcwOW5cf06Z2PPtbMOmpS5iAyVy61ZAs1f6T0QI7W7yystr26FRQ2N68nicxV3bKjXWJMU5ueCwEXxVXE5eagI7an/cQ2Z7bTP5GYn7PTc53snZ04eysrR9Laax1cuTiwq5/rRJ3PPmt/zhtEnc/7PDmPdlMa3eCB4Y0dxxbS0SRGygKKVodEsNRYSOsnZ12KWms751CwBD4/rhUMDW78JXsF6qttlDZYN/3o5Sio9WlXLIkBxOnDCAF5euB8BrmLz+zSZOn9x+ZJbXMGly+/eeMUyLd1ZsZuLA9p32d7++nOtOnki8005Dqxen3YamaSilsCJ4pBStDRE70itim7xMy7/sihAhY1mQkgrKot70z0GZkTQB55bvw1uuXqrF4+N3zy/GtqtJa+rQXC47ejRKQfGOOs79+3uYyuL8mcMZnJOCZSn+tOArbpl9CF7D4hdPLCLeaccwFUeM6sMFhw5vu/b7P2ylb3oiBQOzALjy2LH8/LEPcdltnDJxEImuwGxUFRa+1oButhVKmlKRGYVeQ/HFJg+ldTLMSwTfxdMSsRqa0L//hpZph/B4zevkObKYkzkLx/t/C9g+FkLQdyyMOxUckTfIIGKbvAA8RkRmoYhQmulDZedSrvwd8jOSxmPbuUnCRASWtxUidMnbiA0UTQO3BIoIIc00IDeXrd5yUmyJDHD1QV/1briLJaKNtyXcJei2iA0UXZN5KCLEDANS0yhu3cyUxLFoDTvBu+8GW0L0iM8dsZMbI7PU+APFK90nIpR0G8o08CgfYxOGYSuU2okIAl9LxC6/ErGBInUTEXIuF62Wh4KE4eBphPrtBz9HiK4yvP42/QgUuYEiiSJCTMXHUU49U5PG4Sj6NNzFEdHM8IW7BN0SsYFiSaCIENOcLiylsFkWbC8Md3FENFOR2Z4vgSJEJymlyHVk4Nz8bbiLIqJdhDbBRHCgROYPXEQuzTCI05yw/tNwF0VEOxWZc5siN1Ai8+ctIpyjfF24iyBiQYR+YI7YQDEj8+ctIphp19EK3wt3MURMiMw3uIgNFEs6UUSoNVSB4Q53KUQskCav0JI8EaGklMK2+ZtwF0PECmnyEiJ6fVfqRY09ATIHH/xgIXpKaiihZdMjcyapiEyryw2+LlOoKedCzvCDnyBET0gNJbRsEVtyEanW7TRYutVCTToblTc63MUR0SxCl16J2B0bpYIiwmFjlYlhwZETZqNsDrRtK8NdJBGNInC3RojoGookigiPLTUmn2w0YNwpqAGHhLs4IhrpkflZP2IDRfJEhFNZvcWHxQaMPh41eEa4iyOijdRQQksCRYRbeaPFe+sM1IijUMOOCHdxRDSR/VBCSwJF9AaVzRZvF5mooYeiRh4b7uKIaKBpsmNjOEToQAgRZWpbLP67xoc1cCpq7EnhLo6IdDanLF8fapYCe8SWXkSbeje8sdqH1XcCquD0cBdHRDKbM2JXv43Yt2RLQZxDqiii92jywsJCH2buGNSkn0gVWnSP3SkTG0NNKYiXQBG9TKsBrxb68GUOR00+N2LbwkUY2Z3IasOhpkmgiN7JY8Arq3x40wehpl4QsSN2RJjEJYe7BN0WsYGiS6CIXsyw4NVVPtzJ/VDTL4zYiWoiDOKSI/ZDSMQGil3XSHBKoIjey7Dg1ZU+WuLzUDN/7u9sFeJg4lMj9gNIxAYKQJIzoosvYoCFv6bS6MxCHXoJ2F3hLpLo7RIyInZAR0S/IydKDUVEiNcLfdTp6ajDLgNHfLiLI3qz+NRwl6DbIjpQZNiwiCT/XeOj2kpBHX45uJLCXRzRW0mnfHi47BIoIrK8U+SjwpeAOuwXEJcS7uKI3sgZuTXYiA4Uuy4bbYnI88E6H9ta41CH/wLi08JdHNGb2F1A5H5Qjui3Y8OC1LiIfgoiRn28wcfmRqc/VBIzw10c0VvEJYNphLsU3Rbx78YpcZGb5iK2Ld7kY0Odw99Rn5wT7uKI3iAxk0idJQ8RHigOG6TGR/RTEDHuy81eiqp01MxLILVPuIsjwi05J2I314IIDxRN08hMjOinIATflPoo3KmhZlwM6f3CXRwRTml9I3aWPER4oACkSQ1FRIEV23ys2AFq2s8gc1C4iyPCJcKbPiP+3TjBoUXwmAghflS4w8c32xRqyvmQPSzcxRGhpukRPQcFoiBQTAWJLokUER2KKgy+3GqhDjkHlTcq3MURoZSYAVbkjvCCKAgUpWTosIguG6oMFpeYMOFMVN9x4S6OCJWk7IjdWGu3iH8ntunSjyKiz+Yak083GTD+NFT/SeEujgiF5OyIX5E64t+JbbpGn5SIfxpC7KO0zuKjDQaMORE1aFq4iyOCLS0f9Mh+L4vs0u+SmRS5w+yEOJAdDRbvrTdQI49BDT0s3MURwRQF85CiIlBsOrLZlohalU0WbxeZqKGHo0YeE+7iiGBwJUXFXjmRuS3YXiwLspN0ttSY4S5KwJiGj49f/geb1y7HGZfA6KnHMXLKsXz4fw/gbW2mpamOCUfNZurx5+9zbtE3i/j6/RfRNB1nXAKnXT6XxNQM1iz7gK/fexFlWUw69idMPOpMABa//i/Sc/ox7tCTQ/wsRWfVtlj8d63F6aOngc2BtuaDcBdJBFJ6f/8IL1tkvyVHdul3cdggN9kWVYHyyfxHsLviuOIvLwOglGJHyRqOPf+3ZOQOwOdp5enbf8agMdPIzh/Sdp67pZH3n7+Xq+9biCs+ieUfzuPz157g5Etu4ev3XuTi254CTePfd1zKxKPOZMfmtdTs2MwRZ14RrqcqOqneDW+s8XHGmEnoNifaqrfCXSQRKJkDwR7ZHfIQJU1emqaRlxI9/SitTfVs/OELjjr7l22PaZpG3yFjycgdAIDDFU9W38E011W1O9fucOGKT6K1qQGA5oYaktOzAVCWheHzYng92BwODK+HT15+mBMuujFEz0z0VKMHXiv0YeaNRU08i0he6lzsIWuwf2JjhIuKGgpAsktD18CK7GHcAOwsLSajzyDe//e9VG3bRFxiCseefy2ZfQbuccwGqraVkD+8oN25doeTY8+/lidvmUNKRi42u4Of3/4cAEeefTXzHrgWm93B0XN+zSfzH2H6KRcRnxS5W47GohYfLCz0cda4EdgPmYP23SugrHAXS3SXboeE9HCXIiCiJlBMCzISdKqaI/8Xq6mumh0la7jw1ifIyB3AxpVLWfjIjVxx9zwACr94h28+fJlzfvcADmdcu3Ortm3iizee5tcP/JfE1AxWffE2bzz2R+Zc9yBDCw5laMGhAGxe/TWWZZGe24///uvPmD4fIw45ijHTTwj58xVd5zbg1ZU+zho/GOeU89C+nQ9W9DT5xpS0vmD6InpRyN0iv461i675O+ajQVJaJn0GjW5r3hpacCjN9dUYPi//fWIu2zYWcuEtT5DVd/A+5274fgnDJx1JYmoGAOMPO5Wy4u8xDV/bMe6WRpb+91mOPe83fPTiQxx73rXM/uVdrPj4VXye1tA8SdFjXgteXeXDk9Lfv6ikHjWfD2NLxoCIXrJ+T9HxDgzYbRoDMqLjFyp/6HhqKrbSUFMBwLYNK0nJ6sOKTxfiiIvnxItvxOHqeN/p3IEjKVm9rC1AthZ9S2JKJjb7jy/YD/9zP0fN+TUOVzzu5gbsDieapqGUQkX40g+xxrDglZUGrQl9/MvfR8kbU0zJHhoVtRMATUXRO4hpKV76tiUq+lHKin/g45f/gabbsDucnHjxTXz2yj/ZWbaBhOQf21vHzjyJSUefxdvP3MXxP/s9rvgkvvnwZQq/eAe7w4XNZuf4i/7QNhKs6JtF7Cwt5sifXA34azSfL3wcu8PJ6BkndDgMWfR+OjB7nIMkXw3aV8+D4Ql3kURnaDqceGPUfBCIqkDxGorPN3rYXi9tySI2nTHGQaqqR/vy3+CT5steL2MATDkPHHEHPzYCRE2TF4DdBv3ToqPqKER3vLnGRw0pqMN+Ac7EcBdHHEzuiIhfEHJPURUouqbRP10CRcS2t9ca7DQSUYdfHvEbNkW93FERvyDknqLnmezitGkky4ZbIsa9v87Hdncc6rDLIT4t3MURHXElRV3gR12gAORLs5cQLCr2sbXZiTr8F/7dAEXvkjsi6iakRl2g2G0ag6Jk+LAQPfXZRh8b6+yoQy/z7wgoeo++46Ji/a49RV2gAGQm6tik1UsIAJZu9lFUbUMdegmk5IW7OAL8w4TT8sNdioCLykAxLegrzV5CtPmm1EdhpY6aeXFUvpFFnKwhUblUTlQGitOuMSJbmr2E2NOKMh/fl2uo6RdCxsCDnyCCp/+EqGvugigNFIC8FBsOqaQI0c6q7T6+3aZQUy/wL/khQs/uhKyhoEVfu3zUBoqlYEC61FKE2NuaCoOvSi3UIXMgd2S4ixN7ckdFZXMXRHGgOGwaI3MkUIToSHGlwZISEzXxLFSfseEuTmwZOAUckb9/fEei+h03PUEn3qHR6oua5cqECJiSGhPDUhxdcDrK7kAr/T7cRYp+rmRIyQ13KYImamsoAErB4EzpSBFif0rrLBZtNGDMSaiBU8NdnOiXPw6I3g+4UR0odpvGiJzoWBZaiGDZXm/xfrEBo45FDT003MWJbgMPiZql6jsS1YECkODQSImLvtEUQgTSzkaLd9aZqGFHoEYcFe7iRKfknKhfATrqA0XTYLjMSRHioKqbLd5aa6AGzUCNPj7cxYk+/SdGzc6M+xP1gWLTNYbnONClkiLEQdW1Kt5Y48PqPxk17pRwFyd66HYJlGihAQMzovs/UohAafTAa6t9mH3GoybMxv8bJHqkb2wMzY6JQHHYNMb1id6OMCECrcULCwt9GDkjUZPPjspZ3SE17HCwR+fckz3FRKAAJLt0MhJi5ukK0WNuA14tNPBlDEVNOQ80+f3plvT+/s20YkBYXyFLliyhuLi4U8f1lK7BWKmlCNElXgNeWeXDkzIQNe1nUd8HEBTDDo/qocJ7CnqgfPrpp5x77rltfyZNmkRpaSkAK1asYMuWLe2Ov/nmm/d57MEHH+xxOXTdv998nAz4EqJLDAteKfTRmtQXNeOimHlzDIi4FMgcFDNNhkEPlKOPPpr58+czf/58XnjhBbKzs/noo48499xzWbBgwT7H19XVUVtbG5zCKBiVK78MQnSVZcHClT6aXTmomT+PyqXXg2LwtHCXIKRC2uQ1f/58zjjjDC699FLmz5/PnDlz2n2/traWyspK3nrrrXaPl5SUcO6557J48eIe3d9u0xiVK0OIhegOC1hYaNBgz/RvKeyIC3eRejfdDgMmgy12mkVCFigrV67kvffe48orr+zw+4ZhMHfuXObOnUtiYmK72svgwYOZP38+RxxxRI/LIRMdheiZN1b7qCUVddgvwJkQ7uL0Xv0mEGtDroMeKEop3njjDf7xj3/w+OOP43Q6efDBB9s1edXX13PppZdy3HHHUVBQwHXXXUdFRQXz5s0LeHkcNo0J+U6ppQjRA2+t9VFpJKEOv9y/gq5oT9NhxFEx1zSoKaWCuvTl9ddfz4gRI7j00ktxOtv/cB9//HFGjhzJMcccw+bNmxk0aFCH17j33nu56aabAlYmn6n4rtTLup1GwK4pRCyaNdxBn3gP2tJnobU+3MXpPQYcAqNnSaAEy4IFC3j99df9N9U0lFLMmTOHM888s+2Y5uZmHnjgAdasWYPN5h+emJmZyfXXX8/AgYHdA9vjUyz4vgUreleSFiIkjh7qoH+SD23pc9BSE+7ihJ9ug+N+F5PNgSHpTPjiiy9YtGgRzzzzDC6Xf7Zoa2sr11xzDf369WPKlCmAvyYyduxYbr/99rZzi4qKuO6661i4cGFAy6Tr/r4UqaUI0TOfbvRx2GAHQw67DO3Lf0NTZbiLFF79J/k75GNQSDrldb3j21iWhbbH+Gyl1D7H7q6pBJrDpjGxn/SlCBEIX5T4WF9jQx16CaTkhbs44aPbYrLvZLeQNnm99tprbYHRUZNXU1MT9913H8XFxdjt/oRPTU3luuuuY+jQoQEvk/SlCBFYk/vZGZsN2tf/gbrt4S5O6A2aAiOPk0CJVR5DsWCF9KUIESgFfR1MyAPtm5egZmu4ixM6ug2Ouw6c8eEuSdjE/GpvugYjcmKzvVOIYFi53ce32xVq6gWQNSTcxQmdAYfE/FpnMR8ou/tSnLH9OhAioNaUGywrVahDzoWc4eEuTvA54mDE0THb1LVbzAcK+H8Ik/vH9gtBiEBbX2nwxRYTNflsVJ8x4S5OcI06zj90NMbJTwD/Gl9DMu2kxcuQLyECaVO1yWebDCg4A5U/IdzFCY6kbMgfL6swI4HSRtdh5uDo31FNiFDbWmuxaKMB405GDZwS7uIEXsFpoEmbOUigtNE1jbR4nf5p8sIQItC211t8UGzAqONQg2eEuziBkzsSknOkuWsX+SnswWHTmDFIJjsKEQwVjRbvrjNRI45CDT8y3MXpOd0G406J+Y74PUmg7MVu02SrYCGCpKrZ4u21BmrwTNSo48JdnJ4ZMlPCZC8SKHtx2DTG93EQ75BqihDBUNuqeHOtD2vAFNTYk8NdnO5xJcPQwyRQ9iKB0gFNg8OGyAtFiGBpcMPrq31Y+QWogtPDXZyum3hmzE9i7IgESgdsukZ2ko3BmfKCESJYmr3w6iofRu5o1KSz/Z/kIkH+eEjrK4HSAQmU/fB30Luk6UuIIHIb8GqhgS9zmH9WvdbL35JcSTDuZGnq2o9e/r8XXro0fQkRdF4DXlnlw5s20L/+V2/+5D9hdszuddIZEigHIE1fQoSGYcGCVQbupHzU9It655t233GQ3q93B16YSaAchDR9CREalgWvrjJojstFzfx572pWciXKnJNOkEDpBGn6EiI0LGBhoY9GRxZq5qVgjwt3kfwKZoOtF9aaehkJlE6Qpi8hQuv11T7q9DTUYZeBMyG8hek7DjL6S1NXJ0igdNLupq9klzR9CREK/13jo8pMRh32C//oqnBIzITxp0pTVydJoHSBTYfjRsRhk0wRIiTeXeej3JuAOvxyiEsJ7c11O0w9X5q6ukACpQt0TSPB6V9AUggRGh+u91HW4vKHSkJ66G48/lSIS+79c2N6EflJdZHdpjEgw84Q6U8RImQ+2eCjpNHh71NJygr+DfPHQ94o2TSriyRQusFh05g+yEVqnLR9CREqSzb5KK61ow69FJJzg3ejpCwZItxNEijdZNfhuJFx2OUnKETIfLXFx5pKzT9PJbVv4G8g/SY9Im+H3aRpGnEOjcOGyLbBQoTSt2UGK3dqqBkXQXr/wF684HT/iDLpN+kW+an1gF3X6JtqY2SOfJoRIpR+2Obju+0KNe2nkDk4MBcdNA1yR0i/SQ9IoPSQw6ZxSH8nfVOlk16IUFpdbvB1mUJNOQ9yhvXsYjnDYNSx0m/SQxIoAWC3aRw1zEVavHTSCxFK63YaLN1qoiadg8ob3b2LJOfCpLOlZhIAEigBYtfhhFHxsoikECG2scrk880mTJiNyh/ftZNdSTDjQgmTAJFACRBN03DY4IRRMvJLiFDbUmPyyUYDxp2CGjC5cyfZHP4wsbsiZ7fIXk7e+gLIpmskujSOGe5CXp5ChFZZvcWHxSaMPgE1ePrBT5h8DsSnyaKPASSBEmB2XSMryca0gdK5J0SolTdavLfOQI04GjXs8P0fOPp4yBggTV0BJoESBA6bxpAsO6NzZTixEKFW2WzxdpGJGnoYauSx+x4weDoMmCwjuoJAAiVIHDaNSf2cDM2SUBEi1GpbLP67xoc1cCpqzIk/fqP/RBhxjIRJkGhKKRXuQkQzw1R8tdnDpmoz3EURIuYkOWH2GAd6xRq0nRtg4mxp5goiCZQQMEzFF5s8bKmVUBEi1OLtcNZ4BzZdR5M1uoJKmrxCwG7zr/nVP01GkwgRamkJOugOCZMQkEAJEbtN44ihLvJliRYhQiYvWeeY4XHYZZvVkJBACaHdS7T0SZFQESLYcpJ1jhkhYRJK0ocSBoap+LjYTXmDFe6iCBGV8lNtHDXMJWESYhIoYWKYiiWbPGyVjnohAmpIpo0ZgyRMwkECJYwMU/FdqZeinUa4iyJEVBida2dSP6eESZhIoISZYSrWVvhYUeYLd1GEiGiT+jkYneuQMAkjCZRewGcqttYYLC3xIv8ZQnSNBswY7GRQhh2HhElYSaD0EoapqGg0+aTYgyX/I0J0iq7BUcNc5KXYJEx6AQmUXsQwFfVuiw+K3Pikr16IA3La4NgRcWQk6NLM1UtIoPQypqVo9Sk+KHLT5JH/GiE6khqncfyoOFx2DZsuYdJbSKD0QpZSmBZ8Wuxmh8xVEaKdfmk2jhjqwq77d0oVvYcESi9mmIoVZV7WVsiwYiEAJuQ7GJsnI7l6KwmUXs5nKsrqTJZu8mDK/5SIUXYdjhzmIjdZOt97MwmUCGCYihav4qN1bpq88t8lYkuS099fEu/UsEt/Sa8mgRIhLEthKvhsg4ft9TIETMSGvqk2jtzVX6JLmPR6EigRxjAV63b6Z9bLfBURrXQNpg7wb6Et/SWRQwIlAhmmotmr+LTYTb1b/vtEdEmL1zhmeBzxDk3CJMJIoEQoSyksC74t87JORoGJKDEq187kfk5sMiQ4IkmgRDifqahutvh8owe3T/4rRWSKs8ORw+LITNRlFFcEk0CJAqblnwj5xSYPpXXSYS8iy+6Od5uOzHqPcBIoUcQwFVtrDZZt8cpaYKLXc9lh2kAX/dNs0lcSJSRQooyxq7aybLOHzTWSKqJ3GpJlZ9pAJzZNaiXRRAIlSvlMRW2LxRebPDTKIpOil0iO0zh8iIu0eOkriUYSKFHMshSWgjUVPlZuk3krInx0Dcb39a/DpWsySTFaSaDEAMNUeE3FF5u87GiQZjARWjnJOocPceGya1IriXISKDHEMBU7GkyWbfbSIkOMRZAluTSmDnDSJ0U63WOFBEqMMS2FAop3+li53YdH5kSKAHPZYVI/J0Oy7OhI81YskUCJUYbpD5bVO3ysKfdhyD5eoofsOozJczC2jwNNQ1YGjkESKDHOZyqUghVlXoorDem4F12mAcOz7Uzq70TXkH6SGCaBIgB/sBimYnmpl5Jq6bgXnTMg3cbUAU6c0uEukEARe/GZCrdP8f02L5trTOTVIfamazAk086Efg6cNgkS8SMJFNEhn+mfcV+4w0vxTgOf9LHEPIcOI3IdjOvjkKYt0SEJFHFAPlOhAet3+lhdbtAqw41jTpxDY2yenRE5DkCCROyfBIroFGNXb31prcnK7V7qW+VlE+1S4jTG9XEwKNOOhqy5JQ5OAkV0ye7lXGpbLdaW+9haa8rIsChi02Fghp0xuXZS4nWZRyK6RAJFdJt3V3NYSbXB+p0GNS3S0RKpMhJ0RubYGZxpRyHNWqJ7JFBEj1mWwlTQ6lMUlfvYVG3glZHHvZ7DBoMz7IzJc5Dg1GTRRtFjEigioHymQtdge73J+kqDHfXSJNab6Brkp9oYmmWnb5oNpaQ2IgJHAkUEhVIKnwm6DuUNJiXVBmV1puwkGQY2zb/N7u4QsSx/7UTTJEhEYEmgiJDwmgqbBtXNFpuqDErrTBmCHEQuO+Sn2hmSZSM32Yap/PNIJEREMEmgiJDb3SzW6FaUVBvsaDSpbrZkVn4P6BpkJ+n0SbHRL91GapyOJc1ZIsQkUERYmZZ/Rr5Nh5oWi7Jak/JdASN9L/unaZCZqNMn2Ub/dBvpCTqm5V/xVzrWRbhIoIheZc+AqW2xKKvzB0xNsxXTS+w7bZCRqJOZ4A+QzES97eckEw5FbyGBInq13QFj16HVUNQ0W1Q0mtS0WNS1WLijcIOwRKdGRoJORqJOTpJOeoINhw0JENHrSaCIiLNnLcZS0OC2qG62qG2xaPIomr0WzR7Vqxe0dNgg2aWT5NJIcmmkxOlkJOikxuto+J+X3Qa6dKKLCCKBIqKGYfqXhUEDu+Z/U3YbiiaPosFt0ej2h43HUHhN/8gz366vA9Ffo2vgtGu4bP6/nTYNpx1cdo0Ul05qvEaSSyfeqaHhr3GA1DpE9JBAETHD3DWjXyn/LoOa5v+z+73ctPyLYPpM/7F7anu717S2r/0LJvpHUtl1/7VMtSucVNvhaIBdRluJGCCBIoQQIiD0cBdACCFEdJBAEUIIERASKEIIIQJCAkUIIURASKAIIYQICAkUIYQQASGBIoQQIiAkUIQQQgSEBIoQQoiAkEARQggREBIoQgghAkICRQghREBIoAghhAgICRQhhBABIYEihBAiICRQhBBCBIQEihBCiICQQBFCCBEQEihCCCECQgJFCCFEQEigCCGECAgJFCGEEAEhgSKEECIgJFCEEEIEhASKEEKIgJBAEUIIERASKEIIIQJCAkUIIURASKAIIYQICAkUIYQQASGBIoQQIiAkUIQQQgSEBIoQQoiAkEARQggREBIoQgghAkICRQghREBIoAghhAgICRQhhBABIYEihBAiICRQhBBCBMT/Awl+cnjUtI43AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Seaborn 스타일 설정\n",
    "sns.set(style=\"whitegrid\")\n",
    "plt.rc('font', family='Malgun Gothic')\n",
    "\n",
    "# 원그래프 시각화\n",
    "plt.figure(figsize=(7, 7))\n",
    "plt.axis('equal')\n",
    "plt.pie(injury_ratio, labels=injury_ratio.index, autopct='%1.1f%%', startangle=90, colors=sns.color_palette(\"pastel\"))\n",
    "plt.title('피해운전자 상해정도')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3d006aee",
   "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>count</th>\n",
       "      <th>freq</th>\n",
       "      <th>top</th>\n",
       "      <th>unique</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>피해운전자 상해정도</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>경상</th>\n",
       "      <td>9388</td>\n",
       "      <td>6535</td>\n",
       "      <td>승용</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>기타불명</th>\n",
       "      <td>50</td>\n",
       "      <td>23</td>\n",
       "      <td>승용</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부상신고</th>\n",
       "      <td>523</td>\n",
       "      <td>294</td>\n",
       "      <td>승용</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>사망</th>\n",
       "      <td>55</td>\n",
       "      <td>32</td>\n",
       "      <td>승용</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>상해없음</th>\n",
       "      <td>373</td>\n",
       "      <td>134</td>\n",
       "      <td>자전거</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중상</th>\n",
       "      <td>4555</td>\n",
       "      <td>3310</td>\n",
       "      <td>승용</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           count  freq  top unique\n",
       "피해운전자 상해정도                        \n",
       "경상          9388  6535   승용     10\n",
       "기타불명          50    23   승용      7\n",
       "부상신고         523   294   승용      9\n",
       "사망            55    32   승용      5\n",
       "상해없음         373   134  자전거     10\n",
       "중상          4555  3310   승용     10"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "victim_df.pivot_table(index=\"피해운전자 상해정도\", values=\"가해운전자 차종\", aggfunc=\"describe\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "5baa1443",
   "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>피해운전자 상해정도</th>\n",
       "      <th>경상</th>\n",
       "      <th>기타불명</th>\n",
       "      <th>부상신고</th>\n",
       "      <th>사망</th>\n",
       "      <th>상해없음</th>\n",
       "      <th>중상</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가해운전자 차종</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>개인형이동수단(PM)</th>\n",
       "      <td>43.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>건설기계</th>\n",
       "      <td>39.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>기타불명</th>\n",
       "      <td>212.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>승용</th>\n",
       "      <td>6535.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>3310.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>승합</th>\n",
       "      <td>437.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>193.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>원동기</th>\n",
       "      <td>31.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>이륜</th>\n",
       "      <td>1232.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>539.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자전거</th>\n",
       "      <td>126.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>38.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>특수</th>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>화물</th>\n",
       "      <td>722.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>352.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "피해운전자 상해정도       경상  기타불명   부상신고    사망   상해없음      중상\n",
       "가해운전자 차종                                             \n",
       "개인형이동수단(PM)    43.0   4.0    4.0   0.0   23.0    23.0\n",
       "건설기계           39.0   0.0    2.0   3.0    2.0    22.0\n",
       "기타불명          212.0   0.0   84.0   0.0    7.0    59.0\n",
       "승용           6535.0  23.0  294.0  32.0   50.0  3310.0\n",
       "승합            437.0   2.0   20.0   8.0   15.0   193.0\n",
       "원동기            31.0   1.0    1.0   0.0    3.0     9.0\n",
       "이륜           1232.0  11.0   64.0   3.0  131.0   539.0\n",
       "자전거           126.0   4.0   17.0   0.0  134.0    38.0\n",
       "특수             11.0   0.0    0.0   0.0    1.0    10.0\n",
       "화물            722.0   5.0   37.0   9.0    7.0   352.0"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped=victim_df.groupby('가해운전자 차종')['피해운전자 상해정도'].value_counts().unstack().fillna(0)\n",
    "grouped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "2ad4d637",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped.plot(kind='bar', stacked=True, figsize=(10, 6), colormap='viridis')\n",
    "plt.rc('font', family='Malgun Gothic')\n",
    "\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "plt.title('가해 차종 비율에 따른 피해 운전자 상해 정도')\n",
    "plt.xlabel('가해운전자 차종')\n",
    "plt.ylabel('비율')\n",
    "plt.legend(title='피해운전자 상해정도')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "78b04d6a",
   "metadata": {
    "scrolled": true
   },
   "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>가해운전자 차종</th>\n",
       "      <th>개인형이동수단(PM)</th>\n",
       "      <th>건설기계</th>\n",
       "      <th>기타불명</th>\n",
       "      <th>승용</th>\n",
       "      <th>승합</th>\n",
       "      <th>원동기</th>\n",
       "      <th>이륜</th>\n",
       "      <th>자전거</th>\n",
       "      <th>특수</th>\n",
       "      <th>화물</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>피해운전자 상해정도</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>경상</th>\n",
       "      <td>43.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>212.0</td>\n",
       "      <td>6535.0</td>\n",
       "      <td>437.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>1232.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>722.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>기타불명</th>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부상신고</th>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>사망</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>상해없음</th>\n",
       "      <td>23.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중상</th>\n",
       "      <td>23.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>3310.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>539.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>352.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "가해운전자 차종    개인형이동수단(PM)  건설기계   기타불명      승용     승합   원동기      이륜    자전거  \\\n",
       "피해운전자 상해정도                                                                 \n",
       "경상                 43.0  39.0  212.0  6535.0  437.0  31.0  1232.0  126.0   \n",
       "기타불명                4.0   0.0    0.0    23.0    2.0   1.0    11.0    4.0   \n",
       "부상신고                4.0   2.0   84.0   294.0   20.0   1.0    64.0   17.0   \n",
       "사망                  0.0   3.0    0.0    32.0    8.0   0.0     3.0    0.0   \n",
       "상해없음               23.0   2.0    7.0    50.0   15.0   3.0   131.0  134.0   \n",
       "중상                 23.0  22.0   59.0  3310.0  193.0   9.0   539.0   38.0   \n",
       "\n",
       "가해운전자 차종      특수     화물  \n",
       "피해운전자 상해정도               \n",
       "경상          11.0  722.0  \n",
       "기타불명         0.0    5.0  \n",
       "부상신고         0.0   37.0  \n",
       "사망           0.0    9.0  \n",
       "상해없음         1.0    7.0  \n",
       "중상          10.0  352.0  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped1=victim_df.groupby('피해운전자 상해정도')['가해운전자 차종'].value_counts().unstack().fillna(0)\n",
    "grouped1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "ae3580f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped1.plot(kind='bar', stacked=True, figsize=(10, 6), colormap='viridis')\n",
    "plt.rc('font', family='Malgun Gothic')\n",
    "\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "plt.title('가해 차종 비율에 따른 피해 운전자 상해 정도')\n",
    "plt.xlabel('상해정도')\n",
    "plt.ylabel('가해 차종 비율')\n",
    "plt.legend(title='피해운전자 상해정도')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a61ad60",
   "metadata": {},
   "source": [
    "## 가해 운전자 연령대와 피해 운전자 연령대"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "03ee0b94",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['57세', '67세', '28세', '59세', '58세', '33세', '36세', '45세', '51세',\n",
       "       '71세', '31세', '23세', '65세', '70세', '64세', '38세', '50세', '21세',\n",
       "       '49세', '53세', '42세', '55세', '74세', '46세', '62세', '26세', '40세',\n",
       "       '34세', '78세', '39세', '56세', '41세', '47세', '44세', '29세', '60세',\n",
       "       '54세', '66세', '69세', '25세', '35세', '30세', '미분류', '48세', '61세',\n",
       "       '37세', '63세', '27세', '24세', '43세', '77세', '73세', '20세', '52세',\n",
       "       '68세', '32세', '72세', '75세', '17세', '79세', '18세', '19세', '22세',\n",
       "       '82세', '15세', '87세', '76세', '80세', '13세', '11세', '85세', '83세',\n",
       "       '9세', '81세', '84세', '16세', '91세', '7세', '86세', '12세', '10세', '14세',\n",
       "       '90세', '88세'], dtype=object)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "victim_df[\"가해운전자 연령\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "fbd9ed94",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "61세    406\n",
       "미분류    371\n",
       "60세    365\n",
       "62세    361\n",
       "52세    349\n",
       "      ... \n",
       "91세      2\n",
       "7세       1\n",
       "10세      1\n",
       "90세      1\n",
       "88세      1\n",
       "Name: 가해운전자 연령, Length: 84, dtype: int64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "victim_df[\"가해운전자 연령\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "bfa33823",
   "metadata": {},
   "outputs": [],
   "source": [
    "victim_df[\"가해운전자 연령\"] = victim_df[\"가해운전자 연령\"].replace('미분류', 0)\n",
    "victim_df['피해운전자 연령'] = victim_df['피해운전자 연령'].replace('미분류', 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "1cabf660",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[26 60 50 22 23 35 30 21 49 51 73 19 25 28 38 61 16 66 46 33 57 41 44 48\n",
      " 24 43 56 18 39 47 52 36 40 65 31 17 69 53 20 81 32 29 27 55 64 54 42 37\n",
      " 59 45 79 34 63 71 75 62 58 78 77 67 72 68 76 70  0 74 86 14 84 87 80 82\n",
      " 83 15]\n",
      "[57 67 28 59 58 33 36 45 51 71 31 23 65 70 64 38 50 21 49 53 42 55 74 46\n",
      " 62 26 40 34 78 39 56 41 47 44 29 60 54 66 69 25 35 30  0 48 61 37 63 27\n",
      " 24 43 77 73 20 52 68 32 72 75 17 79 18 19 22 82 15 87 76 80 13 11 85 83\n",
      "  9 81 84 16 91  7 86 12 10 14 90 88]\n"
     ]
    }
   ],
   "source": [
    "import re\n",
    "\n",
    "# 숫자 부분만 추출하는 함수 정의\n",
    "def remove_non_numeric(age):\n",
    "    if isinstance(age, str):\n",
    "        # 정규 표현식을 사용하여 숫자만 추출\n",
    "        numeric_part = re.findall(r'\\d+', age)\n",
    "        if numeric_part:\n",
    "            return int(numeric_part[0])\n",
    "    return age\n",
    "\n",
    "# '피해운전자 연령' 컬럼에 함수 적용\n",
    "victim_df['피해운전자 연령'] =victim_df['피해운전자 연령'].apply(remove_non_numeric)\n",
    "victim_df[\"가해운전자 연령\"] = victim_df[\"가해운전자 연령\"].apply(remove_non_numeric)\n",
    "\n",
    "\n",
    "# 결과 확인\n",
    "print(victim_df['피해운전자 연령'].unique())\n",
    "print(victim_df[\"가해운전자 연령\"].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "d63d7380",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0          371\n",
      "10대 미만       6\n",
      "10대        243\n",
      "20대       1662\n",
      "30대       2560\n",
      "40대       2479\n",
      "50대       3158\n",
      "60대       3175\n",
      "70대       1160\n",
      "80세 이상     130\n",
      "Name: 가해운전자 연령대, dtype: int64\n",
      "0            9\n",
      "10대 미만       0\n",
      "10대        479\n",
      "20대       3650\n",
      "30대       4091\n",
      "40대       3423\n",
      "50대       2131\n",
      "60대        928\n",
      "70대        205\n",
      "80세 이상      28\n",
      "Name: 피해운전자 연령대, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# 라벨링 함수\n",
    "def label_age(age):\n",
    "    if age == 0:\n",
    "        return '0'\n",
    "    elif 1 <= age <10:\n",
    "        return '10대 미만'\n",
    "    elif 10 <= age <20:\n",
    "        return '10대'\n",
    "    elif 20 <= age <30:\n",
    "        return '20대'\n",
    "    elif 30 <= age <40:\n",
    "        return '30대'\n",
    "    elif 40 <= age <50:\n",
    "        return '40대'\n",
    "    elif 50 <= age <60:\n",
    "        return '50대'\n",
    "    elif 60 <= age <70:\n",
    "        return '60대'\n",
    "    elif 70 <= age <80:\n",
    "        return '70대'\n",
    "    else:\n",
    "        return '80세 이상'\n",
    "\n",
    "# '가해운전자 연령' 컬럼에 라벨링 적용\n",
    "victim_df['가해운전자 연령대'] = victim_df['가해운전자 연령'].apply(label_age)\n",
    "age_groups = ['0','10대 미만', '10대', '20대', '30대', '40대','50대','60대','70대','80세 이상']\n",
    "offend_age_group_counts = victim_df['가해운전자 연령대'].value_counts().reindex(age_groups, fill_value=0)\n",
    "\n",
    "# '피해운전자 연령' 컬럼에 라벨링 적용\n",
    "victim_df['피해운전자 연령대'] =victim_df['피해운전자 연령'].apply(label_age)\n",
    "victim_age_group_counts = victim_df['피해운전자 연령대'].value_counts().reindex(age_groups, fill_value=0)\n",
    "\n",
    "\n",
    "print(offend_age_group_counts)\n",
    "print(victim_age_group_counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "388cb97e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 가해자 비중 원그래프 생성\n",
    "plt.figure(figsize=(10, 7))\n",
    "plt.pie(offend_age_group_counts, labels=age_groups, autopct='%1.1f%%', startangle=140,  labeldistance=1.1, pctdistance=0.75, colors=sns.color_palette(\"pastel\"))\n",
    "plt.legend( age_groups, title=\"연령대\", loc=\"center left\", bbox_to_anchor=(1, 0, 0.5, 1))\n",
    "plt.title('가해운전자 연령대 분포')\n",
    "plt.axis('equal')  # 원을 원형으로 유지\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "e51e8211",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 피해자 비중 원그래프 생성\n",
    "plt.figure(figsize=(10, 7))\n",
    "plt.pie(victim_age_group_counts, labels=age_groups, autopct='%1.1f%%', startangle=140,  labeldistance=1.1, pctdistance=0.75, colors=sns.color_palette(\"pastel\"))\n",
    "plt.legend( age_groups, title=\"연령대\", loc=\"center left\", bbox_to_anchor=(1, 0, 0.5, 1))\n",
    "plt.title('피해운전자 연령대 분포')\n",
    "plt.axis('equal')  # 원을 원형으로 유지\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68693868",
   "metadata": {},
   "source": [
    " ## 가해 운전자 성별과 피해 운전자 성별 비율"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "c5cca9c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "victim_df['피해운전자 성별'] = victim_df['피해운전자 성별'].replace(0, '기타불명')\n",
    "victim_df['가해운전자 성별'] = victim_df['가해운전자 성별'].replace(0, '기타불명')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "159f04cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "남       14427\n",
       "여         508\n",
       "기타불명        9\n",
       "Name: 피해운전자 성별, dtype: int64"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "victim_df['피해운전자 성별'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "9864f733",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "남       96.540418\n",
       "여        3.399358\n",
       "기타불명     0.060225\n",
       "Name: 피해운전자 성별, dtype: float64"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sex_proportion=victim_df['피해운전자 성별'].value_counts(normalize=True) * 100\n",
    "sex_proportion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "dc22f8d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"whitegrid\")\n",
    "plt.rc('font', family='Malgun Gothic')\n",
    "\n",
    "# 파이 차트 시각화\n",
    "plt.figure(figsize=(7, 7))\n",
    "plt.axis('equal')\n",
    "plt.pie(sex_proportion, labels=sex_proportion.index, autopct='%1.1f%%', startangle=140, colors=sns.color_palette(\"pastel\"))\n",
    "plt.title('피해운전자 성별 비율')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "1b734b36",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "남       11898\n",
       "여        2675\n",
       "기타불명      371\n",
       "Name: 가해운전자 성별, dtype: int64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "victim_df['가해운전자 성별'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "3590c37a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "남       79.617238\n",
       "여       17.900161\n",
       "기타불명     2.482602\n",
       "Name: 가해운전자 성별, dtype: float64"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sex_proportion=victim_df['가해운전자 성별'].value_counts(normalize=True) * 100\n",
    "sex_proportion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "721c6525",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"whitegrid\")\n",
    "plt.rc('font', family='Malgun Gothic')\n",
    "\n",
    "# 파이 차트 시각화\n",
    "plt.figure(figsize=(7, 7))\n",
    "plt.axis('equal')\n",
    "plt.pie(sex_proportion, labels=sex_proportion.index, autopct='%1.1f%%', startangle=140, colors=sns.color_palette(\"pastel\"))\n",
    "plt.title('가해운전자 성별 비율')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc95deb5",
   "metadata": {},
   "source": [
    "## 가해 운전자 상해 정도와 피해 운전자 상해 정도 시각화"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "3db239a7",
   "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>피해운전자 상해정도</th>\n",
       "      <th>경상</th>\n",
       "      <th>기타불명</th>\n",
       "      <th>부상신고</th>\n",
       "      <th>사망</th>\n",
       "      <th>상해없음</th>\n",
       "      <th>중상</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가해운전자 상해정도</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>경상</th>\n",
       "      <td>0.515239</td>\n",
       "      <td>0.023222</td>\n",
       "      <td>0.020319</td>\n",
       "      <td>0.001451</td>\n",
       "      <td>0.227866</td>\n",
       "      <td>0.211901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>기타불명</th>\n",
       "      <td>0.653420</td>\n",
       "      <td>0.002773</td>\n",
       "      <td>0.101664</td>\n",
       "      <td>0.000924</td>\n",
       "      <td>0.007394</td>\n",
       "      <td>0.233826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부상신고</th>\n",
       "      <td>0.356209</td>\n",
       "      <td>0.022876</td>\n",
       "      <td>0.068627</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.320261</td>\n",
       "      <td>0.232026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>상해없음</th>\n",
       "      <td>0.642525</td>\n",
       "      <td>0.001576</td>\n",
       "      <td>0.029632</td>\n",
       "      <td>0.004019</td>\n",
       "      <td>0.005359</td>\n",
       "      <td>0.316889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중상</th>\n",
       "      <td>0.359551</td>\n",
       "      <td>0.022472</td>\n",
       "      <td>0.011236</td>\n",
       "      <td>0.011236</td>\n",
       "      <td>0.235955</td>\n",
       "      <td>0.359551</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "피해운전자 상해정도        경상      기타불명      부상신고        사망      상해없음        중상\n",
       "가해운전자 상해정도                                                            \n",
       "경상          0.515239  0.023222  0.020319  0.001451  0.227866  0.211901\n",
       "기타불명        0.653420  0.002773  0.101664  0.000924  0.007394  0.233826\n",
       "부상신고        0.356209  0.022876  0.068627  0.000000  0.320261  0.232026\n",
       "상해없음        0.642525  0.001576  0.029632  0.004019  0.005359  0.316889\n",
       "중상          0.359551  0.022472  0.011236  0.011236  0.235955  0.359551"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cross_tab = pd.crosstab(victim_df['가해운전자 상해정도'], victim_df['피해운전자 상해정도'], normalize='index')\n",
    "cross_tab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "5c0c52c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cross_tab.plot(kind='bar', stacked=True, figsize=(10, 6), colormap='viridis')\n",
    "plt.title('가해 운전자 상해 정도와 피해 운전자 상해 정도 비교')\n",
    "plt.xlabel('가해운전자 상해정도')\n",
    "plt.ylabel('피해운전자 상해정도 비율')\n",
    "plt.legend(title='피해운전자 상해정도', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6336e886",
   "metadata": {},
   "source": [
    "## 법규 위반 비율"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "f13fc07c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "안전운전불이행      7195\n",
       "신호위반         2694\n",
       "안전거리미확보      2057\n",
       "교차로운행방법위반     809\n",
       "중앙선침범         716\n",
       "기타            584\n",
       "직진우회전진행방해     493\n",
       "차로위반          226\n",
       "불법유턴          170\n",
       "Name: 법규위반, dtype: int64"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "victim_df['법규위반'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "e9e0b969",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "안전운전불이행      48.146413\n",
       "신호위반         18.027302\n",
       "안전거리미확보      13.764722\n",
       "교차로운행방법위반     5.413544\n",
       "중앙선침범         4.791221\n",
       "기타            3.907923\n",
       "직진우회전진행방해     3.298983\n",
       "차로위반          1.512313\n",
       "불법유턴          1.137580\n",
       "Name: 법규위반, dtype: float64"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "law_violation_counts = victim_df['법규위반'].value_counts(normalize=True)*100\n",
    "law_violation_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "f796febb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 시각화\n",
    "law_violation_counts.plot(kind='bar', figsize=(10, 6))\n",
    "plt.title('법규 위반 비율')\n",
    "plt.xlabel('법규 위반 유형')\n",
    "plt.ylabel('비율')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "b5f64509",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='법규위반'>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "law_violation_counts.plot.pie(figsize=(7,7))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "5433c617",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"whitegrid\")\n",
    "plt.rc('font', family='Malgun Gothic')\n",
    "\n",
    "# 파이 차트 시각화\n",
    "plt.figure(figsize=(9, 9))\n",
    "plt.axis('equal')\n",
    "plt.pie(law_violation_counts, labels=law_violation_counts.index, autopct='%1.1f%%', startangle=140, colors=sns.color_palette(\"pastel\"))\n",
    "plt.title('법규 위반 비율')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7519b301",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}