final ele,middle,high schools dataset configured

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0        37.585736\n",
+       "1        37.571817\n",
+       "2        37.569003\n",
+       "3        37.573001\n",
+       "4        37.575743\n",
+       "           ...    \n",
+       "11868    37.024922\n",
+       "11869    37.246497\n",
+       "11870    37.494695\n",
+       "11871    37.498222\n",
+       "11872    37.497612\n",
+       "Name: 위도, Length: 11873, dtype: float64"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import pyspark\n",
+    "\n",
+    "basic_folder = ''\n",
+    "file_name = basic_folder + 'elementary_middle_schools_location.csv'\n",
+    "df =pd.read_csv(file_name)\n",
+    "\n",
+    "latitude=df['위도']\n",
+    "longitude=df['경도']\n"
+   ]
+  },
+  {
+   "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",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

+,시작,끝,총 시간
+1교시,9:00,9:40,40
+2교시,9:50,10:30,40
+3교시,10:40,11:20,40
+4교시,11:30,12:10,40
+5교시,13:00,13:40,40
+6교시,13:50,14:30,40
\ No newline at end of file

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 2374/2374 [1:28:59<00:00,  2.25s/it]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>school_name</th>\n",
+       "      <th>address</th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>longitude</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>가락고등학교</td>\n",
+       "      <td>서울특별시 송파구 송이로 42</td>\n",
+       "      <td>37.493</td>\n",
+       "      <td>127.125</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>가재울고등학교</td>\n",
+       "      <td>서울특별시 서대문구 수색로 100-35</td>\n",
+       "      <td>37.5773</td>\n",
+       "      <td>126.903</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>강동고등학교</td>\n",
+       "      <td>서울특별시 강동구 구천면로 572</td>\n",
+       "      <td>37.5501</td>\n",
+       "      <td>127.147</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>강서고등학교</td>\n",
+       "      <td>서울특별시 양천구 목동중앙남로 27</td>\n",
+       "      <td>37.5368</td>\n",
+       "      <td>126.867</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>강서공업고등학교</td>\n",
+       "      <td>서울특별시 강서구 방화대로47길 9</td>\n",
+       "      <td>37.5762</td>\n",
+       "      <td>126.815</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2369</th>\n",
+       "      <td>표선고등학교</td>\n",
+       "      <td>제주특별자치도 서귀포시 표선면 표선중앙로 22-15</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2370</th>\n",
+       "      <td>한국뷰티고등학교</td>\n",
+       "      <td>제주특별자치도 제주시 한경면 용고로 70</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2371</th>\n",
+       "      <td>한림고등학교</td>\n",
+       "      <td>제주특별자치도 제주시 한림읍 월계로 74</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2372</th>\n",
+       "      <td>한림공업고등학교</td>\n",
+       "      <td>제주특별자치도 제주시 한림읍 한림중앙로 87</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2373</th>\n",
+       "      <td>함덕고등학교</td>\n",
+       "      <td>제주특별자치도 제주시 조천읍 신흥로 9</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2374 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     school_name                       address latitude longitude\n",
+       "0         가락고등학교              서울특별시 송파구 송이로 42   37.493   127.125\n",
+       "1        가재울고등학교         서울특별시 서대문구 수색로 100-35  37.5773   126.903\n",
+       "2         강동고등학교            서울특별시 강동구 구천면로 572  37.5501   127.147\n",
+       "3         강서고등학교           서울특별시 양천구 목동중앙남로 27  37.5368   126.867\n",
+       "4       강서공업고등학교           서울특별시 강서구 방화대로47길 9  37.5762   126.815\n",
+       "...          ...                           ...      ...       ...\n",
+       "2369      표선고등학교  제주특별자치도 서귀포시 표선면 표선중앙로 22-15                   \n",
+       "2370    한국뷰티고등학교        제주특별자치도 제주시 한경면 용고로 70                   \n",
+       "2371      한림고등학교        제주특별자치도 제주시 한림읍 월계로 74                   \n",
+       "2372    한림공업고등학교      제주특별자치도 제주시 한림읍 한림중앙로 87                   \n",
+       "2373      함덕고등학교         제주특별자치도 제주시 조천읍 신흥로 9                   \n",
+       "\n",
+       "[2374 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import pyspark\n",
+    "from geopy.geocoders import Nominatim\n",
+    "from geopy.extra.rate_limiter import RateLimiter\n",
+    "from tqdm import tqdm\n",
+    "\n",
+    "basic_folder = ''\n",
+    "file_name = basic_folder + 'elementary_middle_schools_location.csv'\n",
+    "file_name2 = basic_folder + 'school_info.csv'\n",
+    "df =pd.read_csv(file_name)\n",
+    "df2 =pd.read_csv(file_name2)\n",
+    "\n",
+    "latitude=df['위도']\n",
+    "longitude=df['경도']\n",
+    "\n",
+    "elementary=[]\n",
+    "middle=[]\n",
+    "high=[]\n",
+    "\n",
+    "count_row=df2.shape[0] #number of rows\n",
+    "geolocator = Nominatim(user_agent=\"lms\", timeout=10)\n",
+    "geocode = RateLimiter(geolocator.geocode, min_delay_seconds=1)\n",
+    "\n",
+    "def type_of_school():\n",
+    "    for x in range(count_row):\n",
+    "        type=df2.loc[x]['학교종류명']\n",
+    "        if(type=='고등학교'):\n",
+    "            if(df2.loc[x]['도로명주소']):\n",
+    "                row=[df2.loc[x]['학교명'],df2.loc[x]['도로명주소'],\"\",\"\"]\n",
+    "                high.append(row)\n",
+    "\n",
+    "\n",
+    "type_of_school()\n",
+    "columns=['school_name','address','latitude','longitude']\n",
+    "high_df=pd.DataFrame(high,columns=columns)\n",
+    "\n",
+    "def find_lat_lon():\n",
+    "    count_rw=high_df.shape[0]\n",
+    "    for x in tqdm(range(count_rw)):\n",
+    "        addr=high_df.loc[x]['address']\n",
+    "        if geolocator.geocode(addr) is not None:\n",
+    "            location=geolocator.geocode(addr)\n",
+    "            high_df.loc[x]['latitude']=location.latitude\n",
+    "            high_df.loc[x]['longitude']=location.longitude\n",
+    "\n",
+    "find_lat_lon()\n",
+    "high_df.to_csv(r'high_school.csv')\n",
+    "high_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import pyspark\n",
+    "from geopy.geocoders import Nominatim\n",
+    "from geopy.extra.rate_limiter import RateLimiter\n",
+    "from tqdm import tqdm\n",
+    "\n",
+    "basic_folder = ''\n",
+    "file_name = basic_folder + 'high_school.csv'\n",
+    "\n",
+    "df =pd.read_csv(file_name)\n",
+    "count_row=df.shape[0]\n",
+    "print(count_row)\n",
+    "df"
+   ]
+  }
+ ],
+ "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",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

+,시작,끝,총 시간
+1교시,9:00,9:50,50
+2교시,10:00,10:50,50
+3교시,11:00,11:50,50
+4교시,12:00,12:50,50
+5교시,14:00,14:50,50
+6교시,15:00,15:50,50
+7교시,16:00,16:50,50
\ No newline at end of file

+,시작,끝,총 시간
+1교시,9:00,9:45,45
+2교시,9:55,10:40,45
+3교시,10:50,11:35,45
+4교시,11:45,12:30,45
+5교시,13:15,14:00,45
+6교시,14:10,14:55,45
+7교시,15:05,15:50,45
\ No newline at end of file

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 21398/21398 [00:16<00:00, 1308.22it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import pyspark\n",
+    "from tqdm import tqdm\n",
+    "\n",
+    "basic_folder = ''\n",
+    "file_name2 = basic_folder + '2019_students_num.csv'\n",
+    "df2 =pd.read_csv(file_name2)\n",
+    "\n",
+    "count_row=df2.shape[0] #number of rows\n",
+    "elementary=[]\n",
+    "middle=[]\n",
+    "high=[]\n",
+    "\n",
+    "def type_of_school():\n",
+    "    for x in tqdm(range(count_row)):\n",
+    "        type=df2.loc[x]['학교급']\n",
+    "        if(type=='고등학교'):\n",
+    "            row=[df2.loc[x]['학교명'],df2.loc[x]['1학년_학생수_계'],df2.loc[x]['2학년_학생수_계'],df2.loc[x]['3학년_학생수_계']]\n",
+    "            high.append(row)\n",
+    "        elif(type=='중학교'):\n",
+    "            row=[df2.loc[x]['학교명'],df2.loc[x]['1학년_학생수_계'],df2.loc[x]['2학년_학생수_계'],df2.loc[x]['3학년_학생수_계']]\n",
+    "            middle.append(row)\n",
+    "        elif(type=='초등학교'):\n",
+    "            row=[df2.loc[x]['학교명'],df2.loc[x]['1학년_학생수_계'],df2.loc[x]['2학년_학생수_계'],df2.loc[x]['3학년_학생수_계'],df2.loc[x]['4학년_학생수_계'],df2.loc[x]['5학년_학생수_계'],df2.loc[x]['6학년_학생수_계']]\n",
+    "            elementary.append(row)\n",
+    "\n",
+    "type_of_school()\n",
+    "            \n",
+    "columns=['school_name','1_stu_num','2_stu_num','3_stu_num']\n",
+    "high_df=pd.DataFrame(high,columns=columns)\n",
+    "high_df.to_csv(r'high_school_stu_num.csv')\n",
+    "\n",
+    "middle_df=pd.DataFrame(middle,columns=columns)\n",
+    "middle_df.to_csv(r'middle_school_stu_num.csv')\n",
+    "\n",
+    "columns1=['school_name','1_stu_num','2_stu_num','3_stu_num','4_stu_num','5_stu_num','6_stu_num']\n",
+    "ele_df=pd.DataFrame(elementary,columns=columns1)\n",
+    "ele_df.to_csv(r'elementary_school_stu_num.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 11873/11873 [00:08<00:00, 1379.25it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import pyspark\n",
+    "from tqdm import tqdm\n",
+    "\n",
+    "basic_folder = ''\n",
+    "file_name = basic_folder + 'elementary_middle_schools_location.csv'\n",
+    "\n",
+    "df2 =pd.read_csv(file_name)\n",
+    "count_row=df2.shape[0]\n",
+    "\n",
+    "elementary=[]\n",
+    "middle=[]\n",
+    "\n",
+    "def type_of_school():\n",
+    "    for x in tqdm(range(count_row)):\n",
+    "        type=df2.loc[x]['학교급구분']\n",
+    "        if(type=='중학교'):\n",
+    "            row=[df2.loc[x]['학교명'],df2.loc[x]['소재지도로명주소'],df2.loc[x]['위도'],df2.loc[x]['경도']]\n",
+    "            middle.append(row)\n",
+    "        elif(type=='초등학교'):\n",
+    "            row=[df2.loc[x]['학교명'],df2.loc[x]['소재지도로명주소'],df2.loc[x]['위도'],df2.loc[x]['경도']]\n",
+    "            elementary.append(row)\n",
+    "\n",
+    "type_of_school()\n",
+    "columns=['school_name','school_addr','latitude','longitude']\n",
+    "middle_df=pd.DataFrame(middle,columns=columns)\n",
+    "middle_df.to_csv(r'middle_school.csv')\n",
+    "\n",
+    "elem_df=pd.DataFrame(elementary,columns=columns)\n",
+    "elem_df.to_csv(r'elementary_school.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 3240/3240 [26:47<00:00,  2.02it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import pyspark\n",
+    "from tqdm import tqdm\n",
+    "\n",
+    "basic_folder = ''\n",
+    "file_name = basic_folder + 'middle_school.csv'\n",
+    "file_name2 = basic_folder + 'middle_school_stu_num.csv'\n",
+    "\n",
+    "middle_df =pd.read_csv(file_name)\n",
+    "middle_stu_num_df=pd.read_csv(file_name2)\n",
+    "\n",
+    "count_row=middle_df.shape[0]\n",
+    "count_row2=middle_stu_num_df.shape[0]\n",
+    "\n",
+    "middle_arr=[]\n",
+    "\n",
+    "def find_middle_student_num():\n",
+    "    for x in tqdm(range(count_row)):\n",
+    "        name=middle_df.loc[x]['school_name']\n",
+    "        for y in range(count_row2):\n",
+    "            if name == middle_stu_num_df.loc[y]['school_name']:\n",
+    "                row=[middle_df.loc[x]['school_name'],middle_df.loc[x]['school_addr'],middle_df.loc[x]['latitude'],middle_df.loc[x]['longitude'],\n",
+    "                   middle_stu_num_df.loc[y]['1_stu_num'],middle_stu_num_df.loc[y]['2_stu_num'],middle_stu_num_df.loc[y]['3_stu_num']]\n",
+    "                middle_arr.append(row)\n",
+    "                    \n",
+    "\n",
+    "find_middle_student_num()\n",
+    "columns=['school_name','school_addr','latitude','longitude','1_stu_num','2_stu_num','3_stu_num']\n",
+    "final_middle_df=pd.DataFrame(middle_arr,columns=columns)\n",
+    "final_middle_df.to_csv(r'final_middle_school.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 6278/6278 [1:38:36<00:00,  1.06it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import pyspark\n",
+    "from tqdm import tqdm\n",
+    "\n",
+    "basic_folder = ''\n",
+    "file_name = basic_folder + 'elementary_school.csv'\n",
+    "file_name2 = basic_folder + 'elementary_school_stu_num.csv'\n",
+    "\n",
+    "ele_df =pd.read_csv(file_name)\n",
+    "ele_stu_num_df=pd.read_csv(file_name2)\n",
+    "\n",
+    "count_row=ele_df.shape[0]\n",
+    "count_row2=ele_stu_num_df.shape[0]\n",
+    "\n",
+    "ele_arr=[]\n",
+    "\n",
+    "def find_ele_student_num():\n",
+    "    for x in tqdm(range(count_row)):\n",
+    "        name=ele_df.loc[x]['school_name']\n",
+    "        for y in range(count_row2):\n",
+    "            if name == ele_stu_num_df.loc[y]['school_name']:\n",
+    "                row=[ele_df.loc[x]['school_name'],ele_df.loc[x]['school_addr'],ele_df.loc[x]['latitude'],ele_df.loc[x]['longitude'],\n",
+    "                   ele_stu_num_df.loc[y]['1_stu_num'],ele_stu_num_df.loc[y]['2_stu_num'],ele_stu_num_df.loc[y]['3_stu_num'],\n",
+    "                    ele_stu_num_df.loc[y]['4_stu_num'],ele_stu_num_df.loc[y]['5_stu_num'],ele_stu_num_df.loc[y]['6_stu_num']]\n",
+    "                ele_arr.append(row)\n",
+    "                    \n",
+    "find_ele_student_num()\n",
+    "columns=['school_name','school_addr','latitude','longitude','1_stu_num','2_stu_num','3_stu_num','4_stu_num','5_stu_num','6_stu_num']\n",
+    "final_ele_df=pd.DataFrame(ele_arr,columns=columns)\n",
+    "final_ele_df.to_csv(r'final_ele_school.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import pyspark\n",
+    "from tqdm import tqdm\n",
+    "\n",
+    "basic_folder = ''\n",
+    "file_name = basic_folder + 'high_school.csv'\n",
+    "file_name2 = basic_folder + 'high_school_stu_num.csv'\n",
+    "\n",
+    "middle_df =pd.read_csv(file_name)\n",
+    "middle_stu_num_df=pd.read_csv(file_name2)\n",
+    "\n",
+    "count_row=middle_df.shape[0]\n",
+    "count_row2=middle_stu_num_df.shape[0]\n",
+    "\n",
+    "high_arr=[]\n",
+    "\n",
+    "def find_high_student_num():\n",
+    "    for x in tqdm(range(count_row)):\n",
+    "        name=middle_df.loc[x]['school_name']\n",
+    "        for y in range(count_row2):\n",
+    "            if name == middle_stu_num_df.loc[y]['school_name']:\n",
+    "                row=[middle_df.loc[x]['school_name'],middle_df.loc[x]['school_addr'],middle_df.loc[x]['latitude'],middle_df.loc[x]['longitude'],\n",
+    "                   middle_stu_num_df.loc[y]['1_stu_num'],middle_stu_num_df.loc[y]['2_stu_num'],middle_stu_num_df.loc[y]['3_stu_num']]\n",
+    "                high_arr.append(row)\n",
+    "                    \n",
+    "find_high_student_num()\n",
+    "columns=['school_name','school_addr','latitude','longitude','1_stu_num','2_stu_num','3_stu_num']\n",
+    "final_high_df=pd.DataFrame(middle_arr,columns=columns)\n",
+    "final_high_df.to_csv(r'final_high_school.csv')"
+   ]
+  }
+ ],
+ "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",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

-학구ID,학구명,학구분류,시도코드,시도교육청코드,시도교육청명,교육지원청코드,교육지원청명,생성일자,변경일자,공간객체ID,데이터기준일자,제공기관코드,제공기관명,
-Z000300001,동부학교군,0,11,7010000,서울특별시교육청,7021000,서울특별시동부교육지원청,2016-08-12,2016-08-12,28,2019-09-16,7001220,한국교원대학교,
-Z000300002,서부학교군,0,11,7010000,서울특별시교육청,7031000,서울특별시서부교육지원청,2016-08-12,2016-08-12,9,2019-09-16,7001220,한국교원대학교,
-Z000300003,남부학교군,0,11,7010000,서울특별시교육청,7041000,서울특별시남부교육지원청,2016-08-12,2016-08-12,8,2019-09-16,7001220,한국교원대학교,
-Z000300004,북부학교군,0,11,7010000,서울특별시교육청,7051000,서울특별시북부교육지원청,2016-08-12,2016-08-12,14,2019-09-16,7001220,한국교원대학교,
-Z000300005,중부학교군,0,11,7010000,서울특별시교육청,7061000,서울특별시중부교육지원청,2016-08-12,2016-08-12,10,2019-09-16,7001220,한국교원대학교,
-Z000300006,강동송파학교군,0,11,7010000,서울특별시교육청,7130000,서울특별시강동송파교육지원청,2016-08-12,2016-08-12,15,2019-09-16,7001220,한국교원대학교,
-Z000300007,강서학교군,0,11,7010000,서울특별시교육청,7081300,서울특별시강서양천교육지원청,2016-08-12,2016-08-12,26,2019-09-16,7001220,한국교원대학교,
-Z000300008,강남학교군,0,11,7010000,서울특별시교육청,7091300,서울특별시강남서초교육지원청,2016-08-12,2016-08-12,16,2019-09-16,7001220,한국교원대학교,
-Z000300009,동작관악학교군,0,11,7010000,서울특별시교육청,7132000,서울특별시동작관악교육지원청,2016-08-12,2016-08-12,17,2019-09-16,7001220,한국교원대학교,
-Z000300010,성동광진학교군,0,11,7010000,서울특별시교육청,7134000,서울특별시성동광진교육지원청,2016-08-12,2016-08-12,29,2019-09-16,7001220,한국교원대학교,
-Z000300011,성북학교군,0,11,7010000,서울특별시교육청,7121200,서울특별시성북강북교육지원청,2016-08-12,2016-08-12,13,2019-09-16,7001220,한국교원대학교,
-Z000300012,서부고등학군,0,26,7150000,부산광역시교육청,7171000,부산광역시서부교육지원청,2016-08-12,2016-08-12,53,2019-09-16,7001220,한국교원대학교,
-Z000300013,남부고등학군,0,26,7150000,부산광역시교육청,7181000,부산광역시남부교육지원청,2016-08-12,2016-08-12,23,2019-09-16,7001220,한국교원대학교,
-Z000300014,동래고등학군,0,26,7150000,부산광역시교육청,7191000,부산광역시동래교육지원청,2016-08-12,2016-08-12,54,2019-09-16,7001220,한국교원대학교,
-Z000300015,북부고등학군,0,26,7150000,부산광역시교육청,7201000,부산광역시북부교육지원청,2016-08-12,2016-08-12,21,2019-09-16,7001220,한국교원대학교,
-Z000300016,해운대고등학군,0,26,7150000,부산광역시교육청,7211000,부산광역시해운대교육지원청,2016-08-12,2016-08-12,22,2019-09-16,7001220,한국교원대학교,
-Z000300017,고등학교1학군,0,27,7240000,대구광역시교육청,7251000,대구광역시동부교육지원청,2016-08-12,2016-08-12,25,2019-09-16,7001220,한국교원대학교,
-Z000300018,고등학교2학군,0,27,7240000,대구광역시교육청,7271000,대구광역시남부교육지원청,2016-08-12,2016-08-12,24,2019-09-16,7001220,한국교원대학교,
-Z000300019,1학교군,0,28,7310000,인천광역시교육청,7321000,인천광역시남부교육지원청,2016-08-12,2016-08-12,55,2019-09-16,7001220,한국교원대학교,
-Z000300020,2학교군,0,28,7310000,인천광역시교육청,7331000,인천광역시북부교육지원청,2016-08-12,2016-08-12,30,2019-09-16,7001220,한국교원대학교,
-Z000300021,특수지고등학군,0,28,7310000,인천광역시교육청,7321000,인천광역시남부교육지원청,2016-08-12,2017-02-14,52,2019-09-16,7001220,한국교원대학교,
-Z000300022,3학교군,0,28,7310000,인천광역시교육청,7361000,인천광역시서부교육지원청,2016-08-12,2016-08-12,31,2019-09-16,7001220,한국교원대학교,
-Z000300023,광주광역시단일학교군,0,29,7380000,광주광역시교육청,7391000,광주광역시동부교육지원청,2016-08-12,2017-02-14,18,2019-09-16,7001220,한국교원대학교,
-Z000300024,대전광역시단일학교군,0,30,7430000,대전광역시교육청,7441000,대전광역시동부교육지원청,2016-08-12,2016-08-12,48,2019-09-16,7001220,한국교원대학교,
-Z000300025,동부학교군,0,31,7480000,울산광역시교육청,7491000,울산광역시강북교육지원청,2016-08-12,2016-08-12,20,2019-09-16,7001220,한국교원대학교,
-Z000300026,북부학교군,0,31,7480000,울산광역시교육청,7491000,울산광역시강북교육지원청,2016-08-12,2016-08-12,19,2019-09-16,7001220,한국교원대학교,
-Z000300027,중부학교군,0,31,7480000,울산광역시교육청,7491000,울산광역시강북교육지원청,2018-07-12,2018-07-12,58,2019-09-16,7001220,한국교원대학교,
-Z000300028,남부학교군,0,31,7480000,울산광역시교육청,7501000,울산광역시강남교육지원청,2018-07-12,2018-07-12,59,2019-09-16,7001220,한국교원대학교,
-Z000300029,언양특수학교군,0,31,7480000,울산광역시교육청,7501000,울산광역시강남교육지원청,2016-08-12,2016-08-12,27,2019-09-16,7001220,한국교원대학교,
-Z000300030,수원1구역,0,41,7530000,경기도교육청,7541000,경기도수원교육지원청,2016-08-12,2016-08-12,51,2019-09-16,7001220,한국교원대학교,
-Z000300031,수원2구역,0,41,7530000,경기도교육청,7541000,경기도수원교육지원청,2016-08-12,2016-08-12,50,2019-09-16,7001220,한국교원대학교,
-Z000300032,성남1구역,0,41,7530000,경기도교육청,7551000,경기도성남교육지원청,2016-08-12,2016-08-12,47,2019-09-16,7001220,한국교원대학교,
-Z000300033,성남2구역,0,41,7530000,경기도교육청,7551000,경기도성남교육지원청,2016-08-12,2016-08-12,39,2019-09-16,7001220,한국교원대학교,
-Z000300034,의정부학군,0,41,7530000,경기도교육청,7561000,경기도의정부교육지원청,2016-08-12,2016-08-12,32,2019-09-16,7001220,한국교원대학교,
-Z000300035,안양권1구역,0,41,7530000,경기도교육청,7569000,경기도안양과천교육지원청,2016-08-12,2016-08-12,45,2019-09-16,7001220,한국교원대학교,
-Z000300036,안양권2구역,0,41,7530000,경기도교육청,7569000,경기도안양과천교육지원청,2016-08-12,2016-08-12,49,2019-09-16,7001220,한국교원대학교,
-Z000300037,부천학군,0,41,7530000,경기도교육청,7581000,경기도부천교육지원청,2016-08-12,2016-08-12,34,2019-09-16,7001220,한국교원대학교,
-Z000300038,광명학군,0,41,7530000,경기도교육청,7591000,경기도광명교육지원청,2016-08-12,2016-08-12,33,2019-09-16,7001220,한국교원대학교,
-Z000300039,안산1구역,0,41,7530000,경기도교육청,7611000,경기도안산교육지원청,2016-08-12,2016-08-12,42,2019-09-16,7001220,한국교원대학교,
-Z000300040,안산2구역,0,41,7530000,경기도교육청,7611000,경기도안산교육지원청,2016-08-12,2016-08-12,44,2019-09-16,7001220,한국교원대학교,
-Z000300041,고양1구역,0,41,7530000,경기도교육청,7621000,경기도고양교육지원청,2016-08-12,2016-08-12,41,2019-09-16,7001220,한국교원대학교,
-Z000300042,고양2구역,0,41,7530000,경기도교육청,7621000,경기도고양교육지원청,2016-08-12,2016-08-12,40,2019-09-16,7001220,한국교원대학교,
-Z000300043,안양권3구역,0,41,7530000,경기도교육청,7642000,경기도군포의왕교육지원청,2016-08-12,2016-08-12,35,2019-09-16,7001220,한국교원대학교,
-Z000300044,안양권4구역,0,41,7530000,경기도교육청,7642000,경기도군포의왕교육지원청,2016-08-12,2016-08-12,46,2019-09-16,7001220,한국교원대학교,
-Z000300045,용인1구역,0,41,7530000,경기도교육청,7751000,경기도용인교육지원청,2016-08-12,2016-08-12,43,2019-09-16,7001220,한국교원대학교,
-Z000300046,용인2구역,0,41,7530000,경기도교육청,7751000,경기도용인교육지원청,2016-08-12,2016-08-12,36,2019-09-16,7001220,한국교원대학교,
-Z000300047,용인3구역,0,41,7530000,경기도교육청,7751000,경기도용인교육지원청,2016-08-12,2016-08-12,37,2019-09-16,7001220,한국교원대학교,
-Z000300048,청주시고등학군,0,43,8000000,충청북도교육청,8011000,충청북도청주교육지원청,2016-08-12,2016-08-12,38,2019-09-16,7001220,한국교원대학교,
-Z000300049,천안시학교군,0,44,8140000,충청남도교육청,8151000,충청남도천안교육지원청,2016-08-12,2016-08-12,4,2019-09-16,7001220,한국교원대학교,
-Z000300050,전주시학교군,0,45,8320000,전라북도교육청,8331000,전라북도전주교육지원청,2016-08-12,2017-02-14,1,2019-09-16,7001220,한국교원대학교,
-Z000300051,군산시학교군,0,45,8320000,전라북도교육청,8341000,전라북도군산교육지원청,2016-08-12,2016-08-12,5,2019-09-16,7001220,한국교원대학교,
-Z000300052,익산시학교군,0,45,8320000,전라북도교육청,8351000,전라북도익산교육지원청,2016-08-12,2016-08-12,12,2019-09-16,7001220,한국교원대학교,
-Z000300053,목포시제1학교군,0,46,8490000,전라남도교육청,8501000,전라남도목포교육지원청,2016-08-12,2016-08-12,6,2019-09-16,7001220,한국교원대학교,
-Z000300054,여수시제2학교군,0,46,8490000,전라남도교육청,8511000,전라남도여수교육지원청,2016-08-12,2016-08-12,7,2019-09-16,7001220,한국교원대학교,
-Z000300055,순천시제3학교군,0,46,8490000,전라남도교육청,8521000,전라남도순천교육지원청,2016-08-12,2016-08-12,2,2019-09-16,7001220,한국교원대학교,
-Z000300056,포항시제1학교군,0,47,8750000,경상북도교육청,8761000,경상북도포항교육지원청,2016-08-12,2016-08-12,11,2019-09-16,7001220,한국교원대학교,
-Z000300057,창원시제1학교군,0,48,9010000,경상남도교육청,9022000,경상남도창원교육지원청,2016-08-12,2019-07-16,62,2019-09-16,7001220,한국교원대학교,
-Z000300058,창원시제2학교군,0,48,9010000,경상남도교육청,9022000,경상남도창원교육지원청,2016-08-12,2019-07-16,61,2019-09-16,7001220,한국교원대학교,
-Z000300059,진주시제3학교군,0,48,9010000,경상남도교육청,9051000,경상남도진주교육지원청,2016-08-12,2016-08-12,57,2019-09-16,7001220,한국교원대학교,
-Z000300060,김해시제4학교군,0,48,9010000,경상남도교육청,9091000,경상남도김해교육지원청,2016-08-12,2016-08-12,56,2019-09-16,7001220,한국교원대학교,
-Z000300061,제주시학교군,0,50,9290000,제주특별자치도교육청,9296000,제주특별자치도제주시교육지원청,2016-08-12,2017-02-14,3,2019-09-16,7001220,한국교원대학교,
-Z000300062,세종시고등학군,0,36,9300000,세종특별자치시교육청,9300000,세종특별자치시교육청,2018-11-05,2018-11-06,60,2019-09-16,7001220,한국교원대학교,
-Z000300063,거제시제5학교군,0,48,9010000,경상남도교육청,9111000,경상남도거제교육지원청,2019-07-22,2019-07-22,63,2019-09-16,7001220,한국교원대학교,