코로나_시대 안전한 해수욕장 이용하기.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 코로나시대 해수욕장 안전하게 즐기기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 목차\n",
    " -주제 선정 이유\n",
    " \n",
    " -사용 데이터\n",
    " \n",
    " -코로나 확진자\n",
    " \n",
    " -동해안 톨게이트 위치 & 교통량\n",
    " \n",
    " -결론"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 주제 선정 이유\n",
    "동해안 코로나 확진자 급증으로 안전한 피서를 즐기기 \n",
    "위한 방안마련 및 겨울철 안전한 여행 대비하기 위함"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 사용 데이터\n",
    "데이콘 데이터\n",
    "\n",
    "-https://data.molit.go.kr/data-set/search/detail/7069824# \n",
    "\n",
    "-https://www.data.go.kr/data/15085319/fileData.do"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 강원도 코로나 확진"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "test = pd.read_csv(\"corona.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(18, 19)\n"
     ]
    }
   ],
   "source": [
    "print(pd.DataFrame(test).shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <th>4</th>\n",
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      ],
      "text/plain": [
       "   date  Cheorwon  Chuncheon  Donghae  Gangneung  Gosung  Hoengseong  \\\n",
       "0  20-2         0          2        0          1       0           0   \n",
       "1  20-3         1          3        0          7       0           1   \n",
       "2  20-4         8          2        0          1       0           0   \n",
       "3  20-5         1          0        0          1       0           0   \n",
       "4  20-6         1          3        0          0       0           0   \n",
       "\n",
       "   Hongcheon  Hwacheon  Injae  jungsun  Pyeongchang  Samcheok  Sokcho  \\\n",
       "0          0         0      0        0            0         1       2   \n",
       "1          0         0      1        0            0         0       1   \n",
       "2          0         0      0        0            0         0       0   \n",
       "3          0         0      0        0            0         0       0   \n",
       "4          0         0      0        0            0         0       0   \n",
       "\n",
       "   Taebaek  Wonju  Yanggu  Yangyang  Yeongwol  \n",
       "0        0      2       0         0         0  \n",
       "1        1     15       0         0         0  \n",
       "2        0      2       0         1         1  \n",
       "3        0      2       0         0         0  \n",
       "4        0      4       0         0         0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
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       "      <td>158</td>\n",
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       "      <td>21-6</td>\n",
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       "      <td>175</td>\n",
       "      <td>9</td>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
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       "      <td>11</td>\n",
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       "      <td>2</td>\n",
       "      <td>1</td>\n",
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       "      <th>17</th>\n",
       "      <td>21-7</td>\n",
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       "      <td>32</td>\n",
       "      <td>355</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>19</td>\n",
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       "      <td>10</td>\n",
       "      <td>21</td>\n",
       "      <td>60</td>\n",
       "      <td>27</td>\n",
       "      <td>177</td>\n",
       "      <td>6</td>\n",
       "      <td>86</td>\n",
       "      <td>8</td>\n",
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      ],
      "text/plain": [
       "    date  Cheorwon  Chuncheon  Donghae  Gangneung  Gosung  Hoengseong  \\\n",
       "13  21-3         4         28       72         27      12           1   \n",
       "14  21-4         3         24       18         85       3          16   \n",
       "15  21-5        32          0       31        158       1           1   \n",
       "16  21-6         0        175        9         26       1          12   \n",
       "17  21-7        10         78       32        355       5           8   \n",
       "\n",
       "    Hongcheon  Hwacheon  Injae  jungsun  Pyeongchang  Samcheok  Sokcho  \\\n",
       "13         24         2      2        8           86         6     121   \n",
       "14         22         1      3        6           24         2      12   \n",
       "15         35         0      5        2           27         4      13   \n",
       "16         25         1      7        0            6         1      26   \n",
       "17         56        19      4        6           10        21      60   \n",
       "\n",
       "    Taebaek  Wonju  Yanggu  Yangyang  Yeongwol  \n",
       "13        2     69       0        13         4  \n",
       "14        0     99       0        17         3  \n",
       "15       18     99       0         3         4  \n",
       "16       11     65       3         2         1  \n",
       "17       27    177       6        86         8  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "gangneung = test['Gangneung']\n",
    "samcheok = test['Samcheok']\n",
    "yangyang = test['Yangyang']\n",
    "sokcho = test['Sokcho']\n",
    "donghae = test['Donghae']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "      <th>20204</th>\n",
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       "      <th>20205</th>\n",
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       "    <tr>\n",
       "      <th>20206</th>\n",
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       "      <th>20207</th>\n",
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       "    <tr>\n",
       "      <th>20208</th>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>20209</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020y10</th>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2020y11</th>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>2020y12</th>\n",
       "      <td>81</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20211</th>\n",
       "      <td>31</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>37</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20212</th>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20213</th>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>121</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20214</th>\n",
       "      <td>85</td>\n",
       "      <td>2</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20215</th>\n",
       "      <td>158</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20216</th>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20217</th>\n",
       "      <td>355</td>\n",
       "      <td>21</td>\n",
       "      <td>86</td>\n",
       "      <td>60</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Gangneung  Samcheok  Yangyang  Sokcho  Donghae\n",
       "20202            1         1         0       2        0\n",
       "20203            7         0         0       1        0\n",
       "20204            1         0         1       0        0\n",
       "20205            1         0         0       0        0\n",
       "20206            0         0         0       0        0\n",
       "20207            0         0         0       2        0\n",
       "20208            4         0         1       1        0\n",
       "20209            3         0         1       0        1\n",
       "2020y10          8         0         0       0        0\n",
       "2020y11          8         2         2      29        1\n",
       "2020y12         81         4         1      30      138\n",
       "20211           31         6         7      37       98\n",
       "20212           17         1         0      19       11\n",
       "20213           27         6        13     121       72\n",
       "20214           85         2        17      12       18\n",
       "20215          158         4         3      13       31\n",
       "20216           26         1         2      26        9\n",
       "20217          355        21        86      60       32"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.concat([gangneung, samcheok, yangyang, sokcho, donghae], axis=1)\n",
    "df.index = ['20202', '20203', '20204', '20205', '20206', '20207', '20208', '20209', '2020y10', '2020y11', '2020y12', '20211', '20212', '20213', '20214', '20215', '20216', '20217']\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x248c570efd0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "sns.lineplot(data=df, dashes=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "코로나가 동해안에서도 많아지기 시작하고 여름철이 되자 확진자가  급증하는 모습이다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 동해안 톨게이트"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "import folium\n",
    "from folium import Marker"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "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>톨게이트이름</th>\n",
       "      <th>위도</th>\n",
       "      <th>경도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>속초</td>\n",
       "      <td>38.202412</td>\n",
       "      <td>128.520132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>북양양</td>\n",
       "      <td>38.154770</td>\n",
       "      <td>128.580687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>양양</td>\n",
       "      <td>38.071461</td>\n",
       "      <td>128.596845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>하조대</td>\n",
       "      <td>38.030198</td>\n",
       "      <td>128.692482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>남양양</td>\n",
       "      <td>37.918056</td>\n",
       "      <td>128.796002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  톨게이트이름         위도          경도\n",
       "0     속초  38.202412  128.520132\n",
       "1    북양양  38.154770  128.580687\n",
       "2     양양  38.071461  128.596845\n",
       "3    하조대  38.030198  128.692482\n",
       "4    남양양  37.918056  128.796002"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('TG_LH2.csv', encoding='utf-8' )\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "구글 지도에서 동해안으로 들어오는 톨게이트 위도와 경도를 가져왔다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
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       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" 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      ],
      "text/plain": [
       "<folium.folium.Map at 0x248c6e32d30>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lat = df['위도'].mean()\n",
    "long = df['경도'].mean()\n",
    "center = [lat, long]\n",
    "\n",
    "map = folium.Map(loacation = center, \n",
    "                 zoom_start = 1000,\n",
    "                 max_bounds = True,\n",
    "                 min_zoom = 9,\n",
    "                 min_lat = 37,\n",
    "                 max_lat = 39,\n",
    "                 min_lon = 129,\n",
    "                 max_lon = 130)\n",
    "\n",
    "\n",
    "for idx,row in df.iterrows():\n",
    "    Marker([row['위도'],row['경도']]).add_to(map)\n",
    "\n",
    "map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 월별 톨게이트 교통량"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('tollgate.csv', encoding='cp949')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>name</th>\n",
       "      <th>inout</th>\n",
       "      <th>tcshipass</th>\n",
       "      <th>check</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20200101</td>\n",
       "      <td>강릉</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20200101</td>\n",
       "      <td>강릉</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>13047</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20200101</td>\n",
       "      <td>강릉</td>\n",
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       "      <td>1</td>\n",
       "      <td>3996</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20200101</td>\n",
       "      <td>강릉</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>16595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20200101</td>\n",
       "      <td>근덕</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>654</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       date name inout tcshipass  check\n",
       "0  20200101   강릉     0         1   3112\n",
       "1  20200101   강릉     0         2  13047\n",
       "2  20200101   강릉     1         1   3996\n",
       "3  20200101   강릉     1         2  16595\n",
       "4  20200101   근덕     0         1    654"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
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    {
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       "           date name inout tcshipass check\n",
       "87473  20210630   홍천     1         2  6059\n",
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       "87475  20210630   횡성     0         2  3302\n",
       "87476  20210630   횡성     1         1   650\n",
       "87477  20210630   횡성     1         2  3081"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df.tail()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "slideshow": {
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    {
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       "       date name inout tcshipass  check\n",
       "0  20200101   강릉     0         1   3112\n",
       "1  20200101   강릉     0         2  13047\n",
       "2  20200101   강릉     1         1   3996\n",
       "3  20200101   강릉     1         2  16595\n",
       "4  20200101   근덕     0         1    654"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "df = df.fillna(0)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 87478 entries, 0 to 87477\n",
      "Data columns (total 5 columns):\n",
      " #   Column     Non-Null Count  Dtype \n",
      "---  ------     --------------  ----- \n",
      " 0   date       87478 non-null  object\n",
      " 1   name       87478 non-null  object\n",
      " 2   inout      87478 non-null  object\n",
      " 3   tcshipass  87478 non-null  object\n",
      " 4   check      87478 non-null  object\n",
      "dtypes: object(5)\n",
      "memory usage: 3.3+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 43249 entries, 0 to 87475\n",
      "Data columns (total 5 columns):\n",
      " #   Column     Non-Null Count  Dtype \n",
      "---  ------     --------------  ----- \n",
      " 0   date       43249 non-null  int32 \n",
      " 1   name       43249 non-null  object\n",
      " 2   inout      43249 non-null  object\n",
      " 3   tcshipass  43249 non-null  object\n",
      " 4   check      43249 non-null  int32 \n",
      "dtypes: int32(2), object(3)\n",
      "memory usage: 1.6+ MB\n"
     ]
    }
   ],
   "source": [
    "df = df[df['inout'] == \"0\"]\n",
    "df['check'] = df['check'].astype(int)\n",
    "df['date'] = df['date'].astype(int)\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
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       "      <th>2</th>\n",
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       "      <th>3</th>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20200101</td>\n",
       "      <td>남강릉</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1047</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "    <tr>\n",
       "      <th>43244</th>\n",
       "      <td>20210630</td>\n",
       "      <td>하조대</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2395</td>\n",
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       "    <tr>\n",
       "      <th>43245</th>\n",
       "      <td>20210630</td>\n",
       "      <td>홍천</td>\n",
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       "      <td>1</td>\n",
       "      <td>1149</td>\n",
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       "      <td>6272</td>\n",
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       "      <th>43247</th>\n",
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       "      <td>601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43248</th>\n",
       "      <td>20210630</td>\n",
       "      <td>횡성</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3302</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>43249 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           date name inout tcshipass  check\n",
       "0      20200101   강릉     0         1   3112\n",
       "1      20200101   강릉     0         2  13047\n",
       "2      20200101   근덕     0         1    654\n",
       "3      20200101   근덕     0         2   4063\n",
       "4      20200101  남강릉     0         1   1047\n",
       "...         ...  ...   ...       ...    ...\n",
       "43244  20210630  하조대     0         2   2395\n",
       "43245  20210630   홍천     0         1   1149\n",
       "43246  20210630   홍천     0         2   6272\n",
       "43247  20210630   횡성     0         1    601\n",
       "43248  20210630   횡성     0         2   3302\n",
       "\n",
       "[43249 rows x 5 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index = range(43249)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "starts = [20200101, 20200201,20200301,20200401,20200501,20200601,20200701,20200801,20200901, 20201001,20201101,20201201,20210101,20210201 ,20210301, 20210401, 20210501, 20210601]\n",
    "ends = [20200131, 20200229, 20200331,20200430,20200531,20200630,20200731,20200831,20200930,20201031,20201130,20201231,20210131,20210228, 20210331, 20210430, 20210531, 20210630]\n",
    "names = [\"강릉\", \"속초\", \"북양양\", \"양양\", \"남양양\", \"북강릉\", \"남강릉\", \"옥계\", \"망상\", \"동해\", \"삼척\", \"근덕\", \"하조대\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "# 일자별 -> 월별 함수 \n",
    "def SplitByMonth(tollgatedata, name):\n",
    "    month = 1\n",
    "    for start, end in zip(starts, ends):\n",
    "        startdate = tollgatedata['date'] >= start\n",
    "        enddate = tollgatedata['date'] <= end\n",
    "        place = tollgatedata['name'] == name\n",
    "        datasum = tollgatedata[startdate & enddate & place]\n",
    "        datasum = datasum['check'].sum()\n",
    "        sbm.append(datasum)\n",
    "        month += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "sbm = []\n",
    "for name in names:\n",
    "    SplitByMonth(df, name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "234"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(sbm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "gangneung = sbm[0:18]\n",
    "sokcho = sbm[18:36]\n",
    "Nyangyang= sbm[36:54]\n",
    "yangyang = sbm[54:72]\n",
    "Syangyang = sbm[72:90]\n",
    "Ngangneung = sbm[90:108]\n",
    "Sgangneung = sbm[108:126]\n",
    "okgye = sbm[126:144]\n",
    "mangsang = sbm[144:162]\n",
    "donghae = sbm[162:180]\n",
    "samchuk = sbm[180:198]\n",
    "geunduk = sbm[198:216]\n",
    "hajodae = sbm[216:234] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
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       "      <td>100292</td>\n",
       "      <td>167697</td>\n",
       "      <td>62200</td>\n",
       "      <td>109902</td>\n",
       "      <td>91703</td>\n",
       "      <td>78333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-2</th>\n",
       "      <td>299459</td>\n",
       "      <td>136697</td>\n",
       "      <td>80163</td>\n",
       "      <td>87625</td>\n",
       "      <td>88895</td>\n",
       "      <td>50751</td>\n",
       "      <td>155703</td>\n",
       "      <td>75285</td>\n",
       "      <td>123874</td>\n",
       "      <td>46062</td>\n",
       "      <td>75614</td>\n",
       "      <td>66148</td>\n",
       "      <td>58973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-3</th>\n",
       "      <td>306683</td>\n",
       "      <td>146120</td>\n",
       "      <td>79291</td>\n",
       "      <td>106052</td>\n",
       "      <td>94740</td>\n",
       "      <td>56674</td>\n",
       "      <td>155944</td>\n",
       "      <td>75469</td>\n",
       "      <td>130322</td>\n",
       "      <td>51901</td>\n",
       "      <td>79022</td>\n",
       "      <td>67388</td>\n",
       "      <td>64126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-4</th>\n",
       "      <td>330271</td>\n",
       "      <td>155578</td>\n",
       "      <td>87386</td>\n",
       "      <td>107806</td>\n",
       "      <td>99896</td>\n",
       "      <td>60649</td>\n",
       "      <td>170930</td>\n",
       "      <td>83519</td>\n",
       "      <td>141357</td>\n",
       "      <td>54802</td>\n",
       "      <td>90912</td>\n",
       "      <td>72814</td>\n",
       "      <td>69082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-5</th>\n",
       "      <td>397892</td>\n",
       "      <td>187591</td>\n",
       "      <td>101998</td>\n",
       "      <td>138342</td>\n",
       "      <td>125676</td>\n",
       "      <td>78456</td>\n",
       "      <td>201815</td>\n",
       "      <td>100556</td>\n",
       "      <td>180806</td>\n",
       "      <td>64434</td>\n",
       "      <td>109261</td>\n",
       "      <td>87754</td>\n",
       "      <td>95512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-6</th>\n",
       "      <td>389162</td>\n",
       "      <td>193940</td>\n",
       "      <td>99353</td>\n",
       "      <td>292236</td>\n",
       "      <td>127892</td>\n",
       "      <td>81630</td>\n",
       "      <td>200479</td>\n",
       "      <td>100075</td>\n",
       "      <td>184199</td>\n",
       "      <td>64399</td>\n",
       "      <td>106948</td>\n",
       "      <td>85883</td>\n",
       "      <td>100773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-7</th>\n",
       "      <td>404621</td>\n",
       "      <td>205652</td>\n",
       "      <td>101324</td>\n",
       "      <td>145717</td>\n",
       "      <td>139689</td>\n",
       "      <td>86659</td>\n",
       "      <td>204612</td>\n",
       "      <td>103294</td>\n",
       "      <td>208505</td>\n",
       "      <td>66371</td>\n",
       "      <td>116256</td>\n",
       "      <td>87565</td>\n",
       "      <td>113971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-8</th>\n",
       "      <td>452293</td>\n",
       "      <td>235591</td>\n",
       "      <td>111588</td>\n",
       "      <td>176455</td>\n",
       "      <td>167458</td>\n",
       "      <td>108315</td>\n",
       "      <td>222126</td>\n",
       "      <td>116227</td>\n",
       "      <td>262569</td>\n",
       "      <td>81672</td>\n",
       "      <td>156570</td>\n",
       "      <td>100776</td>\n",
       "      <td>149071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-9</th>\n",
       "      <td>346889</td>\n",
       "      <td>165377</td>\n",
       "      <td>91652</td>\n",
       "      <td>115960</td>\n",
       "      <td>108353</td>\n",
       "      <td>63032</td>\n",
       "      <td>181326</td>\n",
       "      <td>91368</td>\n",
       "      <td>157424</td>\n",
       "      <td>58367</td>\n",
       "      <td>100803</td>\n",
       "      <td>75282</td>\n",
       "      <td>87852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10</th>\n",
       "      <td>397402</td>\n",
       "      <td>203279</td>\n",
       "      <td>100825</td>\n",
       "      <td>162072</td>\n",
       "      <td>153101</td>\n",
       "      <td>86584</td>\n",
       "      <td>205111</td>\n",
       "      <td>105744</td>\n",
       "      <td>201695</td>\n",
       "      <td>66258</td>\n",
       "      <td>120916</td>\n",
       "      <td>87086</td>\n",
       "      <td>109351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11</th>\n",
       "      <td>369109</td>\n",
       "      <td>182489</td>\n",
       "      <td>99718</td>\n",
       "      <td>118412</td>\n",
       "      <td>123219</td>\n",
       "      <td>68677</td>\n",
       "      <td>198052</td>\n",
       "      <td>97286</td>\n",
       "      <td>168329</td>\n",
       "      <td>62271</td>\n",
       "      <td>104844</td>\n",
       "      <td>80729</td>\n",
       "      <td>87458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12</th>\n",
       "      <td>323561</td>\n",
       "      <td>166652</td>\n",
       "      <td>84022</td>\n",
       "      <td>117624</td>\n",
       "      <td>101796</td>\n",
       "      <td>67282</td>\n",
       "      <td>168853</td>\n",
       "      <td>85510</td>\n",
       "      <td>160468</td>\n",
       "      <td>54820</td>\n",
       "      <td>94357</td>\n",
       "      <td>71759</td>\n",
       "      <td>75200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-1</th>\n",
       "      <td>299279</td>\n",
       "      <td>156816</td>\n",
       "      <td>76162</td>\n",
       "      <td>103614</td>\n",
       "      <td>93476</td>\n",
       "      <td>62729</td>\n",
       "      <td>151635</td>\n",
       "      <td>73390</td>\n",
       "      <td>133641</td>\n",
       "      <td>47425</td>\n",
       "      <td>82343</td>\n",
       "      <td>66686</td>\n",
       "      <td>65057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-2</th>\n",
       "      <td>345831</td>\n",
       "      <td>176003</td>\n",
       "      <td>86429</td>\n",
       "      <td>113949</td>\n",
       "      <td>107139</td>\n",
       "      <td>71492</td>\n",
       "      <td>167749</td>\n",
       "      <td>81889</td>\n",
       "      <td>153142</td>\n",
       "      <td>52074</td>\n",
       "      <td>94787</td>\n",
       "      <td>73697</td>\n",
       "      <td>76532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-3</th>\n",
       "      <td>333706</td>\n",
       "      <td>154869</td>\n",
       "      <td>87885</td>\n",
       "      <td>106653</td>\n",
       "      <td>90337</td>\n",
       "      <td>58981</td>\n",
       "      <td>175264</td>\n",
       "      <td>84408</td>\n",
       "      <td>137161</td>\n",
       "      <td>51423</td>\n",
       "      <td>91062</td>\n",
       "      <td>71164</td>\n",
       "      <td>70553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-4</th>\n",
       "      <td>365968</td>\n",
       "      <td>173799</td>\n",
       "      <td>94604</td>\n",
       "      <td>119017</td>\n",
       "      <td>109850</td>\n",
       "      <td>66794</td>\n",
       "      <td>191752</td>\n",
       "      <td>94979</td>\n",
       "      <td>163281</td>\n",
       "      <td>58701</td>\n",
       "      <td>101743</td>\n",
       "      <td>76944</td>\n",
       "      <td>82988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-5</th>\n",
       "      <td>397294</td>\n",
       "      <td>191667</td>\n",
       "      <td>98865</td>\n",
       "      <td>142745</td>\n",
       "      <td>128832</td>\n",
       "      <td>77025</td>\n",
       "      <td>205654</td>\n",
       "      <td>101409</td>\n",
       "      <td>193684</td>\n",
       "      <td>63472</td>\n",
       "      <td>116321</td>\n",
       "      <td>80225</td>\n",
       "      <td>98555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-6</th>\n",
       "      <td>395933</td>\n",
       "      <td>199718</td>\n",
       "      <td>101540</td>\n",
       "      <td>144153</td>\n",
       "      <td>121272</td>\n",
       "      <td>83187</td>\n",
       "      <td>207092</td>\n",
       "      <td>104301</td>\n",
       "      <td>191277</td>\n",
       "      <td>66403</td>\n",
       "      <td>116718</td>\n",
       "      <td>82900</td>\n",
       "      <td>106393</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Gangneung  Ngangneung  Sgangneung  yangyang  Nyangyang  Syangyang  \\\n",
       "2020-1      375957      179262      103462    110775     115622      69163   \n",
       "2020-2      299459      136697       80163     87625      88895      50751   \n",
       "2020-3      306683      146120       79291    106052      94740      56674   \n",
       "2020-4      330271      155578       87386    107806      99896      60649   \n",
       "2020-5      397892      187591      101998    138342     125676      78456   \n",
       "2020-6      389162      193940       99353    292236     127892      81630   \n",
       "2020-7      404621      205652      101324    145717     139689      86659   \n",
       "2020-8      452293      235591      111588    176455     167458     108315   \n",
       "2020-9      346889      165377       91652    115960     108353      63032   \n",
       "2020-10     397402      203279      100825    162072     153101      86584   \n",
       "2020-11     369109      182489       99718    118412     123219      68677   \n",
       "2020-12     323561      166652       84022    117624     101796      67282   \n",
       "2021-1      299279      156816       76162    103614      93476      62729   \n",
       "2021-2      345831      176003       86429    113949     107139      71492   \n",
       "2021-3      333706      154869       87885    106653      90337      58981   \n",
       "2021-4      365968      173799       94604    119017     109850      66794   \n",
       "2021-5      397294      191667       98865    142745     128832      77025   \n",
       "2021-6      395933      199718      101540    144153     121272      83187   \n",
       "\n",
       "         donghae  samchuk  sokcho  okgye  geunduk  mangsang  hajodae  \n",
       "2020-1    196391   100292  167697  62200   109902     91703    78333  \n",
       "2020-2    155703    75285  123874  46062    75614     66148    58973  \n",
       "2020-3    155944    75469  130322  51901    79022     67388    64126  \n",
       "2020-4    170930    83519  141357  54802    90912     72814    69082  \n",
       "2020-5    201815   100556  180806  64434   109261     87754    95512  \n",
       "2020-6    200479   100075  184199  64399   106948     85883   100773  \n",
       "2020-7    204612   103294  208505  66371   116256     87565   113971  \n",
       "2020-8    222126   116227  262569  81672   156570    100776   149071  \n",
       "2020-9    181326    91368  157424  58367   100803     75282    87852  \n",
       "2020-10   205111   105744  201695  66258   120916     87086   109351  \n",
       "2020-11   198052    97286  168329  62271   104844     80729    87458  \n",
       "2020-12   168853    85510  160468  54820    94357     71759    75200  \n",
       "2021-1    151635    73390  133641  47425    82343     66686    65057  \n",
       "2021-2    167749    81889  153142  52074    94787     73697    76532  \n",
       "2021-3    175264    84408  137161  51423    91062     71164    70553  \n",
       "2021-4    191752    94979  163281  58701   101743     76944    82988  \n",
       "2021-5    205654   101409  193684  63472   116321     80225    98555  \n",
       "2021-6    207092   104301  191277  66403   116718     82900   106393  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "box = {\"Gangneung\":gangneung, \"Ngangneung\":Ngangneung, \"Sgangneung\":Sgangneung, \n",
    "       \"yangyang\":yangyang, \"Nyangyang\":Nyangyang, \"Syangyang\":Syangyang,\n",
    "       \"donghae\":donghae, \"samchuk\":samchuk, \"sokcho\":sokcho,\n",
    "       \"okgye\":okgye, \"geunduk\":geunduk, \"mangsang\":mangsang,\n",
    "       \"hajodae\":hajodae\n",
    "      }\n",
    "\n",
    "bf = pd.DataFrame(box)\n",
    "bf.index = [\"2020-1\", \"2020-2\", \"2020-3\", \"2020-4\", \"2020-5\",\n",
    "           \"2020-6\", \"2020-7\", \"2020-8\", \"2020-9\", \"2020-10\",\n",
    "           \"2020-11\", \"2020-12\", \"2021-1\", \"2021-2\", \"2021-3\",\n",
    "           \"2021-4\", \"2021-5\", \"2021-6\"]\n",
    "\n",
    "bf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x248c6e328b0>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "sns.lineplot(data=bf, dashes=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "작년 동해안 톨게이트를 보면 확실히 대체로 7-8월이 증가하고있다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 결론\n",
    "\n",
    "여름철 동해안으로 오는 교통량이 증가하고 확진자 수 급증으로 인해 해결책이 필요하다.\n",
    "\n",
    "“혼잡도 신호등＂이라는 서비스 홍보가 잘 된다면 이용객들의 해수욕장 입장을 분산 시켜 \n",
    "안전한 피서를 즐길 수 있을 것이다.\n",
    "\n",
    "https://tournmaster.com/seantour_map/travel/beach/gangwon.do\n",
    "\n",
    "이러한 서비스가 해수욕장 뿐만 아니라 다양한 관광지에 활용되면 더 안전한 해수욕장을 넘어서 안전한 관광을 즐길수 있을것이다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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