source_code/04. Self Oil Station price.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4장 셀프 주유소는 정말 저렴할까\n",
    "\n",
    "### 작성 : [PinkWink](http://pinkwink.kr) \n",
    "\n",
    "## 4-1 Selenium 사용하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from selenium import webdriver"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 현재 최신 크롬드라이버의 명령 중 일부가 다른 버전과 다른듯 합니다. 본 Github에서 배포하는 driver를 사용하시기 바랍니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "driver = webdriver.Chrome('../driver/chromedriver')\n",
    "driver.get(\"http://naver.com\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "driver.save_screenshot('../images/001.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "elem_login = driver.find_element_by_id(\"id\")\n",
    "elem_login.clear()\n",
    "elem_login.send_keys(\"pinkwink\")\n",
    "\n",
    "elem_login = driver.find_element_by_id(\"pw\")\n",
    "elem_login.clear()\n",
    "elem_login.send_keys(\" ************ \") #자신의 비번을 넣으세요"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "xpath = \"\"\"//*[@id=\"frmNIDLogin\"]/fieldset/span/input\"\"\"\n",
    "driver.find_element_by_xpath(xpath).click()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "driver.get(\"http://mail.naver.com\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from bs4 import BeautifulSoup\n",
    "\n",
    "html = driver.page_source\n",
    "soup = BeautifulSoup(html, 'html.parser')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<div class=\"name _ccr(lst.from) \"><span class=\"blind\">보낸 이:</span><a class=\"_c1(myContextMenu|showSenderContextLayer|list|7025) _stopDefault\" href=\"#\" title='\"에브리존\" &lt;mail1@everyzone.com&gt;'>에브리존</a></div>,\n",
       " <div class=\"name _ccr(lst.from) \"><span class=\"blind\">보낸 이:</span><a class=\"_c1(myContextMenu|showSenderContextLayer|list|7024) _stopDefault\" href=\"#\" title='\"에브리존\" &lt;mail1@everyzone.com&gt;'>에브리존</a></div>,\n",
       " <div class=\"name _ccr(lst.from) \"><span class=\"blind\">보낸 이:</span><a class=\"_c1(myContextMenu|showSenderContextLayer|list|7020) _stopDefault\" href=\"#\" title='\"에브리존\" &lt;mail1@everyzone.com&gt;'>에브리존</a></div>,\n",
       " <div class=\"name _ccr(lst.from) \"><span class=\"blind\">보낸 이:</span><a class=\"_c1(myContextMenu|showSenderContextLayer|list|7017) _stopDefault\" href=\"#\" title='\"에브리존\" &lt;mail1@everyzone.com&gt;'>에브리존</a></div>,\n",
       " <div class=\"name _ccr(lst.from) \"><span class=\"blind\">보낸 이:</span><a class=\"_c1(myContextMenu|showSenderContextLayer|list|7016) _stopDefault\" href=\"#\" title='\"에브리존\" &lt;mail1@everyzone.com&gt;'>에브리존</a></div>,\n",
       " <div class=\"name _ccr(lst.from) \"><span class=\"blind\">보낸 이:</span><a class=\"_c1(myContextMenu|showSenderContextLayer|list|7014) _stopDefault\" href=\"#\" title='\"에브리존\" &lt;mail1@everyzone.com&gt;'>에브리존</a></div>,\n",
       " <div class=\"name _ccr(lst.from) \"><span class=\"blind\">보낸 이:</span><a class=\"_c1(myContextMenu|showSenderContextLayer|list|7013) _stopDefault\" href=\"#\" title='\"에브리존\" &lt;mail1@everyzone.com&gt;'>에브리존</a></div>,\n",
       " <div class=\"name _ccr(lst.from) \"><span class=\"blind\">보낸 이:</span><a class=\"_c1(myContextMenu|showSenderContextLayer|list|7012) _stopDefault\" href=\"#\" title='\"에브리존\" &lt;mail1@everyzone.com&gt;'>에브리존</a></div>,\n",
       " <div class=\"name _ccr(lst.from) \"><span class=\"blind\">보낸 이:</span><a class=\"_c1(myContextMenu|showSenderContextLayer|list|7010) _stopDefault\" href=\"#\" title='\"반려동물관리사\" &lt;edupoppro@hanmail.net&gt;'>반려동물관리사</a></div>,\n",
       " <div class=\"name _ccr(lst.from) \"><span class=\"blind\">보낸 이:</span><a class=\"_c1(myContextMenu|showSenderContextLayer|list|7006) _stopDefault\" href=\"#\" title='\"에브리존\" &lt;mail1@everyzone.com&gt;'>에브리존</a></div>,\n",
       " <div class=\"name _ccr(lst.from) \"><span class=\"blind\">보낸 이:</span><a class=\"_c1(myContextMenu|showSenderContextLayer|list|7005) _stopDefault\" href=\"#\" title='\"에브리존\" &lt;mail1@everyzone.com&gt;'>에브리존</a></div>,\n",
       " <div class=\"name _ccr(lst.from) \"><span class=\"blind\">보낸 이:</span><a class=\"_c1(myContextMenu|showSenderContextLayer|list|7004) _stopDefault\" href=\"#\" title='\"에브리존\" &lt;mail1@everyzone.com&gt;'>에브리존</a></div>,\n",
       " <div class=\"name _ccr(lst.from) \"><span class=\"blind\">보낸 이:</span><a class=\"_c1(myContextMenu|showSenderContextLayer|list|7003) _stopDefault\" href=\"#\" title='\"중소기업제도홍보센타\" &lt;kbiz9869@gmail.com&gt;'>중소기업제도홍보센..</a></div>,\n",
       " <div class=\"name _ccr(lst.from) \"><span class=\"blind\">보낸 이:</span><a class=\"_c1(myContextMenu|showSenderContextLayer|list|7001) _stopDefault\" href=\"#\" title='\"에브리존\" &lt;mail1@everyzone.com&gt;'>에브리존</a></div>,\n",
       " <div class=\"name _ccr(lst.from) \"><span class=\"blind\">보낸 이:</span><a class=\"_c1(myContextMenu|showSenderContextLayer|list|6998) _stopDefault\" href=\"#\" title='\"에브리존\" &lt;mail1@everyzone.com&gt;'>에브리존</a></div>]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_list = soup.find_all('div', 'name _ccr(lst.from) ')\n",
    "raw_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['에브리존',\n",
       " '에브리존',\n",
       " '에브리존',\n",
       " '에브리존',\n",
       " '에브리존',\n",
       " '에브리존',\n",
       " '에브리존',\n",
       " '에브리존',\n",
       " '반려동물관리사',\n",
       " '에브리존',\n",
       " '에브리존',\n",
       " '에브리존',\n",
       " '중소기업제도홍보센..',\n",
       " '에브리존',\n",
       " '에브리존']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "send_list = [raw_list[n].find('a').get_text() for n in range(0, len(raw_list))]\n",
    "send_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "driver.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## 4-2 서울시 구별 주유소 가격 정보 얻기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "driver = webdriver.Chrome('../driver/chromedriver')\n",
    "driver.get(\"http://www.opinet.co.kr/searRgSelect.do\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Opinet은 사용자가 접속한 지역에 따라 지역을 잡아주는 기능이 있습니다.\n",
    "* 이 기능을 배려하지 않고 코드가 짜여졌습니다.\n",
    "\n",
    "<img src=\"../img/001.JPG\"></img>\n",
    "\n",
    "* 지역에 **서울**이라고 나타나지 않으면 크롬 드라이버에서 손으로 **서울**로 잡아주세요."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "gu_list_raw = driver.find_element_by_xpath(\"\"\"//*[@id=\"SIGUNGU_NM0\"]\"\"\")\n",
    "gu_list = gu_list_raw.find_elements_by_tag_name(\"option\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['강남구',\n",
       " '강동구',\n",
       " '강북구',\n",
       " '강서구',\n",
       " '관악구',\n",
       " '광진구',\n",
       " '구로구',\n",
       " '금천구',\n",
       " '노원구',\n",
       " '도봉구',\n",
       " '동대문구',\n",
       " '동작구',\n",
       " '마포구',\n",
       " '서대문구',\n",
       " '서초구',\n",
       " '성동구',\n",
       " '성북구',\n",
       " '송파구',\n",
       " '양천구',\n",
       " '영등포구',\n",
       " '용산구',\n",
       " '은평구',\n",
       " '종로구',\n",
       " '중구',\n",
       " '중랑구']"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gu_names = [option.get_attribute(\"value\") for option in gu_list]\n",
    "gu_names.remove('')\n",
    "gu_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "element = driver.find_element_by_id(\"SIGUNGU_NM0\")\n",
    "element.send_keys(gu_names[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "xpath = \"\"\"//*[@id=\"searRgSelect\"]\"\"\"\n",
    "element_sel_gu = driver.find_element_by_xpath(xpath).click()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "xpath = \"\"\"//*[@id=\"glopopd_excel\"]\"\"\"\n",
    "element_get_excel = driver.find_element_by_xpath(xpath).click()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c9eb4b6e127244438dca43bf31e49046",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "A Jupyter Widget"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "from tqdm import tqdm_notebook\n",
    "\n",
    "for gu in tqdm_notebook(gu_names):\n",
    "    element = driver.find_element_by_id(\"SIGUNGU_NM0\")\n",
    "    element.send_keys(gu)\n",
    "    \n",
    "    time.sleep(2)\n",
    "    \n",
    "    xpath = \"\"\"//*[@id=\"searRgSelect\"]\"\"\"\n",
    "    element_sel_gu = driver.find_element_by_xpath(xpath).click()\n",
    "    \n",
    "    time.sleep(1)\n",
    "    \n",
    "    xpath = \"\"\"//*[@id=\"glopopd_excel\"]\"\"\"\n",
    "    element_get_excel = driver.find_element_by_xpath(xpath).click()\n",
    "    \n",
    "    time.sleep(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "driver.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## 4-5. 구별 주유 가격에 대한 데이터의 정리"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from glob import glob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['../data/지역_위치별(주유소) (1).xls',\n",
       " '../data/지역_위치별(주유소) (10).xls',\n",
       " '../data/지역_위치별(주유소) (11).xls',\n",
       " '../data/지역_위치별(주유소) (12).xls',\n",
       " '../data/지역_위치별(주유소) (13).xls',\n",
       " '../data/지역_위치별(주유소) (14).xls',\n",
       " '../data/지역_위치별(주유소) (15).xls',\n",
       " '../data/지역_위치별(주유소) (16).xls',\n",
       " '../data/지역_위치별(주유소) (17).xls',\n",
       " '../data/지역_위치별(주유소) (18).xls',\n",
       " '../data/지역_위치별(주유소) (19).xls',\n",
       " '../data/지역_위치별(주유소) (2).xls',\n",
       " '../data/지역_위치별(주유소) (20).xls',\n",
       " '../data/지역_위치별(주유소) (21).xls',\n",
       " '../data/지역_위치별(주유소) (22).xls',\n",
       " '../data/지역_위치별(주유소) (23).xls',\n",
       " '../data/지역_위치별(주유소) (24).xls',\n",
       " '../data/지역_위치별(주유소) (3).xls',\n",
       " '../data/지역_위치별(주유소) (4).xls',\n",
       " '../data/지역_위치별(주유소) (5).xls',\n",
       " '../data/지역_위치별(주유소) (6).xls',\n",
       " '../data/지역_위치별(주유소) (7).xls',\n",
       " '../data/지역_위치별(주유소) (8).xls',\n",
       " '../data/지역_위치별(주유소) (9).xls',\n",
       " '../data/지역_위치별(주유소).xls']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "glob('../data/지역_위치별*xls')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['../data/지역_위치별(주유소) (1).xls',\n",
       " '../data/지역_위치별(주유소) (10).xls',\n",
       " '../data/지역_위치별(주유소) (11).xls',\n",
       " '../data/지역_위치별(주유소) (12).xls',\n",
       " '../data/지역_위치별(주유소) (13).xls',\n",
       " '../data/지역_위치별(주유소) (14).xls',\n",
       " '../data/지역_위치별(주유소) (15).xls',\n",
       " '../data/지역_위치별(주유소) (16).xls',\n",
       " '../data/지역_위치별(주유소) (17).xls',\n",
       " '../data/지역_위치별(주유소) (18).xls',\n",
       " '../data/지역_위치별(주유소) (19).xls',\n",
       " '../data/지역_위치별(주유소) (2).xls',\n",
       " '../data/지역_위치별(주유소) (20).xls',\n",
       " '../data/지역_위치별(주유소) (21).xls',\n",
       " '../data/지역_위치별(주유소) (22).xls',\n",
       " '../data/지역_위치별(주유소) (23).xls',\n",
       " '../data/지역_위치별(주유소) (24).xls',\n",
       " '../data/지역_위치별(주유소) (3).xls',\n",
       " '../data/지역_위치별(주유소) (4).xls',\n",
       " '../data/지역_위치별(주유소) (5).xls',\n",
       " '../data/지역_위치별(주유소) (6).xls',\n",
       " '../data/지역_위치별(주유소) (7).xls',\n",
       " '../data/지역_위치별(주유소) (8).xls',\n",
       " '../data/지역_위치별(주유소) (9).xls',\n",
       " '../data/지역_위치별(주유소).xls']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations_files = glob('../data/지역_위치별*xls')\n",
    "stations_files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "tmp_raw = []\n",
    "\n",
    "for file_name in stations_files:\n",
    "    tmp = pd.read_excel(file_name, header=2)\n",
    "    tmp_raw.append(tmp)\n",
    "    \n",
    "station_raw = pd.concat(tmp_raw)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 537 entries, 0 to 45\n",
      "Data columns (total 10 columns):\n",
      "지역       537 non-null object\n",
      "상호       537 non-null object\n",
      "주소       537 non-null object\n",
      "상표       537 non-null object\n",
      "전화번호     537 non-null object\n",
      "셀프여부     537 non-null object\n",
      "고급휘발유    537 non-null object\n",
      "휘발유      537 non-null object\n",
      "경유       537 non-null object\n",
      "실내등유     537 non-null object\n",
      "dtypes: object(10)\n",
      "memory usage: 46.1+ KB\n"
     ]
    }
   ],
   "source": [
    "station_raw.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>지역</th>\n",
       "      <th>상호</th>\n",
       "      <th>주소</th>\n",
       "      <th>상표</th>\n",
       "      <th>전화번호</th>\n",
       "      <th>셀프여부</th>\n",
       "      <th>고급휘발유</th>\n",
       "      <th>휘발유</th>\n",
       "      <th>경유</th>\n",
       "      <th>실내등유</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>서울특별시</td>\n",
       "      <td>오렌지주유소</td>\n",
       "      <td>서울 강동구 성안로 102 (성내동)</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>02-484-6165</td>\n",
       "      <td>N</td>\n",
       "      <td>-</td>\n",
       "      <td>1554</td>\n",
       "      <td>1354</td>\n",
       "      <td>997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>서울특별시</td>\n",
       "      <td>구천면주유소</td>\n",
       "      <td>서울 강동구 구천면로 357 (암사동)</td>\n",
       "      <td>현대오일뱅크</td>\n",
       "      <td>02-441-0536</td>\n",
       "      <td>N</td>\n",
       "      <td>-</td>\n",
       "      <td>1556</td>\n",
       "      <td>1355</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>서울특별시</td>\n",
       "      <td>GS칼텍스㈜직영 신월주유소</td>\n",
       "      <td>서울 강동구 양재대로 1323 (성내동)</td>\n",
       "      <td>GS칼텍스</td>\n",
       "      <td>02-475-2600</td>\n",
       "      <td>N</td>\n",
       "      <td>1855</td>\n",
       "      <td>1559</td>\n",
       "      <td>1349</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>서울특별시</td>\n",
       "      <td>광성주유소</td>\n",
       "      <td>서울 강동구 올림픽로 673 (천호동)</td>\n",
       "      <td>S-OIL</td>\n",
       "      <td>02-470-5133</td>\n",
       "      <td>N</td>\n",
       "      <td>-</td>\n",
       "      <td>1578</td>\n",
       "      <td>1388</td>\n",
       "      <td>1100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>서울특별시</td>\n",
       "      <td>(주)소모에너지엔테크놀러지성내주유소</td>\n",
       "      <td>서울 강동구 올림픽로 578 (성내동)</td>\n",
       "      <td>GS칼텍스</td>\n",
       "      <td>02-479-3838</td>\n",
       "      <td>Y</td>\n",
       "      <td>-</td>\n",
       "      <td>1588</td>\n",
       "      <td>1388</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      지역                   상호                      주소      상표         전화번호  \\\n",
       "0  서울특별시               오렌지주유소    서울 강동구 성안로 102 (성내동)   SK에너지  02-484-6165   \n",
       "1  서울특별시               구천면주유소   서울 강동구 구천면로 357 (암사동)  현대오일뱅크  02-441-0536   \n",
       "2  서울특별시       GS칼텍스㈜직영 신월주유소  서울 강동구 양재대로 1323 (성내동)   GS칼텍스  02-475-2600   \n",
       "3  서울특별시                광성주유소   서울 강동구 올림픽로 673 (천호동)   S-OIL  02-470-5133   \n",
       "4  서울특별시  (주)소모에너지엔테크놀러지성내주유소   서울 강동구 올림픽로 578 (성내동)   GS칼텍스  02-479-3838   \n",
       "\n",
       "  셀프여부 고급휘발유   휘발유    경유  실내등유  \n",
       "0    N     -  1554  1354   997  \n",
       "1    N     -  1556  1355     -  \n",
       "2    N  1855  1559  1349  1000  \n",
       "3    N     -  1578  1388  1100  \n",
       "4    Y     -  1588  1388     -  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "station_raw.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Oil_store</th>\n",
       "      <th>가격</th>\n",
       "      <th>상표</th>\n",
       "      <th>셀프</th>\n",
       "      <th>주소</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>오렌지주유소</td>\n",
       "      <td>1554</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강동구 성안로 102 (성내동)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>구천면주유소</td>\n",
       "      <td>1556</td>\n",
       "      <td>현대오일뱅크</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강동구 구천면로 357 (암사동)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GS칼텍스㈜직영 신월주유소</td>\n",
       "      <td>1559</td>\n",
       "      <td>GS칼텍스</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강동구 양재대로 1323 (성내동)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>광성주유소</td>\n",
       "      <td>1578</td>\n",
       "      <td>S-OIL</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강동구 올림픽로 673 (천호동)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(주)소모에너지엔테크놀러지성내주유소</td>\n",
       "      <td>1588</td>\n",
       "      <td>GS칼텍스</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울 강동구 올림픽로 578 (성내동)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Oil_store    가격      상표 셀프                      주소\n",
       "0               오렌지주유소  1554   SK에너지  N    서울 강동구 성안로 102 (성내동)\n",
       "1               구천면주유소  1556  현대오일뱅크  N   서울 강동구 구천면로 357 (암사동)\n",
       "2       GS칼텍스㈜직영 신월주유소  1559   GS칼텍스  N  서울 강동구 양재대로 1323 (성내동)\n",
       "3                광성주유소  1578   S-OIL  N   서울 강동구 올림픽로 673 (천호동)\n",
       "4  (주)소모에너지엔테크놀러지성내주유소  1588   GS칼텍스  Y   서울 강동구 올림픽로 578 (성내동)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations = pd.DataFrame({'Oil_store':station_raw['상호'], \n",
    "                                       '주소':station_raw['주소'],\n",
    "                                       '가격':station_raw['휘발유'],\n",
    "                                       '셀프':station_raw['셀프여부'],\n",
    "                                       '상표':station_raw['상표']  })\n",
    "stations.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Oil_store</th>\n",
       "      <th>가격</th>\n",
       "      <th>상표</th>\n",
       "      <th>셀프</th>\n",
       "      <th>주소</th>\n",
       "      <th>구</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>오렌지주유소</td>\n",
       "      <td>1554</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강동구 성안로 102 (성내동)</td>\n",
       "      <td>강동구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>구천면주유소</td>\n",
       "      <td>1556</td>\n",
       "      <td>현대오일뱅크</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강동구 구천면로 357 (암사동)</td>\n",
       "      <td>강동구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GS칼텍스㈜직영 신월주유소</td>\n",
       "      <td>1559</td>\n",
       "      <td>GS칼텍스</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강동구 양재대로 1323 (성내동)</td>\n",
       "      <td>강동구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>광성주유소</td>\n",
       "      <td>1578</td>\n",
       "      <td>S-OIL</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강동구 올림픽로 673 (천호동)</td>\n",
       "      <td>강동구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(주)소모에너지엔테크놀러지성내주유소</td>\n",
       "      <td>1588</td>\n",
       "      <td>GS칼텍스</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울 강동구 올림픽로 578 (성내동)</td>\n",
       "      <td>강동구</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Oil_store    가격      상표 셀프                      주소    구\n",
       "0               오렌지주유소  1554   SK에너지  N    서울 강동구 성안로 102 (성내동)  강동구\n",
       "1               구천면주유소  1556  현대오일뱅크  N   서울 강동구 구천면로 357 (암사동)  강동구\n",
       "2       GS칼텍스㈜직영 신월주유소  1559   GS칼텍스  N  서울 강동구 양재대로 1323 (성내동)  강동구\n",
       "3                광성주유소  1578   S-OIL  N   서울 강동구 올림픽로 673 (천호동)  강동구\n",
       "4  (주)소모에너지엔테크놀러지성내주유소  1588   GS칼텍스  Y   서울 강동구 올림픽로 578 (성내동)  강동구"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations['구'] = [eachAddress.split()[1] for eachAddress in stations['주소']]\n",
    "stations.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['강동구', '동대문구', '동작구', '마포구', '서대문구', '서초구', '성동구', '서울특별시', '성북구',\n",
       "       '송파구', '양천구', '영등포구', '강북구', '용산구', '은평구', '종로구', '중구', '중랑구',\n",
       "       '강서구', '관악구', '광진구', '구로구', '금천구', '노원구', '도봉구', '특별시', '강남구'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations['구'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Oil_store</th>\n",
       "      <th>가격</th>\n",
       "      <th>상표</th>\n",
       "      <th>셀프</th>\n",
       "      <th>주소</th>\n",
       "      <th>구</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>SK네트웍스(주)효진주유소</td>\n",
       "      <td>1654</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>1 서울특별시 성동구 동일로 129 (성수동2가)</td>\n",
       "      <td>서울특별시</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Oil_store    가격     상표 셀프                           주소      구\n",
       "12  SK네트웍스(주)효진주유소  1654  SK에너지  N  1 서울특별시 성동구 동일로 129 (성수동2가)  서울특별시"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations[stations['구']=='서울특별시']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['강동구', '동대문구', '동작구', '마포구', '서대문구', '서초구', '성동구', '성북구', '송파구',\n",
       "       '양천구', '영등포구', '강북구', '용산구', '은평구', '종로구', '중구', '중랑구', '강서구',\n",
       "       '관악구', '광진구', '구로구', '금천구', '노원구', '도봉구', '특별시', '강남구'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations.loc[stations['구']=='서울특별시', '구'] = '성동구'\n",
    "stations['구'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>Oil_store</th>\n",
       "      <th>가격</th>\n",
       "      <th>상표</th>\n",
       "      <th>셀프</th>\n",
       "      <th>주소</th>\n",
       "      <th>구</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>서현주유소</td>\n",
       "      <td>1524</td>\n",
       "      <td>S-OIL</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울 특별시 도봉구 방학로 142 (방학동)</td>\n",
       "      <td>특별시</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Oil_store    가격     상표 셀프                        주소    구\n",
       "10     서현주유소  1524  S-OIL  Y  서울 특별시 도봉구 방학로 142 (방학동)  특별시"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations[stations['구']=='특별시']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['강동구', '동대문구', '동작구', '마포구', '서대문구', '서초구', '성동구', '성북구', '송파구',\n",
       "       '양천구', '영등포구', '강북구', '용산구', '은평구', '종로구', '중구', '중랑구', '강서구',\n",
       "       '관악구', '광진구', '구로구', '금천구', '노원구', '도봉구', '강남구'], dtype=object)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations.loc[stations['구']=='특별시', '구'] = '도봉구'\n",
    "stations['구'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>Oil_store</th>\n",
       "      <th>가격</th>\n",
       "      <th>상표</th>\n",
       "      <th>셀프</th>\n",
       "      <th>주소</th>\n",
       "      <th>구</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>명진석유(주)동서울주유소</td>\n",
       "      <td>-</td>\n",
       "      <td>GS칼텍스</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울특별시 강동구  천호대로 1456 (상일동)</td>\n",
       "      <td>강동구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>하나주유소</td>\n",
       "      <td>-</td>\n",
       "      <td>S-OIL</td>\n",
       "      <td>N</td>\n",
       "      <td>서울특별시 영등포구  도림로 236 (신길동)</td>\n",
       "      <td>영등포구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>(주)에이앤이청담주유소</td>\n",
       "      <td>-</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울특별시 강북구 도봉로 155  (미아동)</td>\n",
       "      <td>강북구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>송정주유소</td>\n",
       "      <td>-</td>\n",
       "      <td>자가상표</td>\n",
       "      <td>N</td>\n",
       "      <td>서울특별시 강북구 인수봉로 185 (수유동)</td>\n",
       "      <td>강북구</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Oil_store 가격     상표 셀프                          주소     구\n",
       "18  명진석유(주)동서울주유소  -  GS칼텍스  Y  서울특별시 강동구  천호대로 1456 (상일동)   강동구\n",
       "33          하나주유소  -  S-OIL  N   서울특별시 영등포구  도림로 236 (신길동)  영등포구\n",
       "12   (주)에이앤이청담주유소  -  SK에너지  Y    서울특별시 강북구 도봉로 155  (미아동)   강북구\n",
       "13          송정주유소  -   자가상표  N    서울특별시 강북구 인수봉로 185 (수유동)   강북구"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations[stations['가격']=='-']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>Oil_store</th>\n",
       "      <th>가격</th>\n",
       "      <th>상표</th>\n",
       "      <th>셀프</th>\n",
       "      <th>주소</th>\n",
       "      <th>구</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>오렌지주유소</td>\n",
       "      <td>1554</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강동구 성안로 102 (성내동)</td>\n",
       "      <td>강동구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>구천면주유소</td>\n",
       "      <td>1556</td>\n",
       "      <td>현대오일뱅크</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강동구 구천면로 357 (암사동)</td>\n",
       "      <td>강동구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GS칼텍스㈜직영 신월주유소</td>\n",
       "      <td>1559</td>\n",
       "      <td>GS칼텍스</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강동구 양재대로 1323 (성내동)</td>\n",
       "      <td>강동구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>광성주유소</td>\n",
       "      <td>1578</td>\n",
       "      <td>S-OIL</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강동구 올림픽로 673 (천호동)</td>\n",
       "      <td>강동구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(주)소모에너지엔테크놀러지성내주유소</td>\n",
       "      <td>1588</td>\n",
       "      <td>GS칼텍스</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울 강동구 올림픽로 578 (성내동)</td>\n",
       "      <td>강동구</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Oil_store    가격      상표 셀프                      주소    구\n",
       "0               오렌지주유소  1554   SK에너지  N    서울 강동구 성안로 102 (성내동)  강동구\n",
       "1               구천면주유소  1556  현대오일뱅크  N   서울 강동구 구천면로 357 (암사동)  강동구\n",
       "2       GS칼텍스㈜직영 신월주유소  1559   GS칼텍스  N  서울 강동구 양재대로 1323 (성내동)  강동구\n",
       "3                광성주유소  1578   S-OIL  N   서울 강동구 올림픽로 673 (천호동)  강동구\n",
       "4  (주)소모에너지엔테크놀러지성내주유소  1588   GS칼텍스  Y   서울 강동구 올림픽로 578 (성내동)  강동구"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations = stations[stations['가격'] != '-']\n",
    "stations.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "stations['가격'] = [float(value) for value in stations['가격']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "stations.reset_index(inplace=True)\n",
    "del stations['index']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 533 entries, 0 to 532\n",
      "Data columns (total 6 columns):\n",
      "Oil_store    533 non-null object\n",
      "가격           533 non-null float64\n",
      "상표           533 non-null object\n",
      "셀프           533 non-null object\n",
      "주소           533 non-null object\n",
      "구            533 non-null object\n",
      "dtypes: float64(1), object(5)\n",
      "memory usage: 25.1+ KB\n"
     ]
    }
   ],
   "source": [
    "stations.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>Oil_store</th>\n",
       "      <th>가격</th>\n",
       "      <th>상표</th>\n",
       "      <th>셀프</th>\n",
       "      <th>주소</th>\n",
       "      <th>구</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>오렌지주유소</td>\n",
       "      <td>1554.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강동구 성안로 102 (성내동)</td>\n",
       "      <td>강동구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>구천면주유소</td>\n",
       "      <td>1556.0</td>\n",
       "      <td>현대오일뱅크</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강동구 구천면로 357 (암사동)</td>\n",
       "      <td>강동구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GS칼텍스㈜직영 신월주유소</td>\n",
       "      <td>1559.0</td>\n",
       "      <td>GS칼텍스</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강동구 양재대로 1323 (성내동)</td>\n",
       "      <td>강동구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>광성주유소</td>\n",
       "      <td>1578.0</td>\n",
       "      <td>S-OIL</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강동구 올림픽로 673 (천호동)</td>\n",
       "      <td>강동구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(주)소모에너지엔테크놀러지성내주유소</td>\n",
       "      <td>1588.0</td>\n",
       "      <td>GS칼텍스</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울 강동구 올림픽로 578 (성내동)</td>\n",
       "      <td>강동구</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Oil_store      가격      상표 셀프                      주소    구\n",
       "0               오렌지주유소  1554.0   SK에너지  N    서울 강동구 성안로 102 (성내동)  강동구\n",
       "1               구천면주유소  1556.0  현대오일뱅크  N   서울 강동구 구천면로 357 (암사동)  강동구\n",
       "2       GS칼텍스㈜직영 신월주유소  1559.0   GS칼텍스  N  서울 강동구 양재대로 1323 (성내동)  강동구\n",
       "3                광성주유소  1578.0   S-OIL  N   서울 강동구 올림픽로 673 (천호동)  강동구\n",
       "4  (주)소모에너지엔테크놀러지성내주유소  1588.0   GS칼텍스  Y   서울 강동구 올림픽로 578 (성내동)  강동구"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## 4-4 셀프 주유소는 정말 저렴한지 boxplot으로 확인하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "\n",
    "import platform\n",
    "\n",
    "path = \"c:/Windows/Fonts/malgun.ttf\"\n",
    "from matplotlib import font_manager, rc\n",
    "if platform.system() == 'Darwin':\n",
    "    rc('font', family='AppleGothic')\n",
    "elif platform.system() == 'Windows':\n",
    "    font_name = font_manager.FontProperties(fname=path).get_name()\n",
    "    rc('font', family=font_name)\n",
    "else:\n",
    "    print('Unknown system... sorry~~~~') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10c7c69e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "stations.boxplot(column='가격', by='셀프', figsize=(12,8));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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qFousX7+e6elp1q9f7weaNi0cuadcLnufSpKWzStmqu8Ui0UmJiYMOB3w1re+lZNPPtlW8A5w5B5JUicZwqUh5geaznHkHklSJxnCJWkJHLlHktRJhnBJWgJH7pEkdZIhXJKWwJF7JEmdZAiXhpjjWndWuVxm/fr1toJLktpmCJeGmONad5YnukqSOsUQLg2pheNa2xouSVL/MIRLQ8pxrSVJ6l+GcGlIOa61JEn9yxAuDSnHtZYkqX8ZwqUh5bjWkiT1L0O4NKQc11qSpP61Iu8CJHVPuVxmdnbWVnBJkvqMIVwaYs1xrSVJUn+xO4okLZFXIJUkdYohXJKWyCuQSpI6xRAuSUvgFUglSZ1kCJekJfAKpJKkTjKES9ISeAVSSVInGcIlaQkWXnHUK5BKktphCJekJXjFK16x3/Qpp5ySUyWSpGFgCJekJbjtttuICAAigltvvTXniiRJg8wQLklLMDU1RUoJgJSSfcIlSW0xhEvSEoyPj1MoFAAoFAr2CZcktcUQLklLUC6XGRlpvGSOjIxQLpdzrkiSNMgM4ZK0BMVikVKpRERQKpUoFot5lyRJGmAr8i5AkgZFuVxmdnbWVnBJUtsM4ZK0RMVikYmJibzLkCQNAbujSEOsWq2yadMmqtVq3qVIkqQWhnBpiFUqFaanp6lUKnmXIkmSWhjCpSFVrVaZnJwkpcTk5KSt4ZIk9RFDuDSkKpUK9XodgHq9bmu4JEl9xBAuDampqSlqtRoAtVrNKzxKktRHDOHSkPIKj5Ik9S9DuDSkvMKjJEn9yxAuDSmv8ChJUv/yYj3SEPMKj5Ik9SdDuDTEvMKjJEn9ye4okiRJUo8ZwiVJkqQeM4RLkiRJPWYIlyRJknrMEC5JkiT1mCFckiRJ6jFDuCRJktRjhnBJkiSpxwzhkiRJUo8ZwiVJkqQeM4RLkiRJPWYIlyRJknrMEC5JkiT1mCFcGmLVapVNmzZRrVbzLkWSJLXoWQiPiAsj4m0t06dGxNci4qaI+KuIOKZl2ekRsTP7+dCC/ZwdEV+PiDsj4h29ql8aRFu3buU73/kOW7duzbsUSZLUoushPCJOiIhJ4J0t844CLgZen1I6FfifwGXZsuOACeCUlNIY8MyIeF227EVAGRgDfgp4dUS8uNu3QRpE1WqVHTt2ALBjxw5bwyVJ6iNdD+EppXtSSiXg3S2zXwDsSCk9lK1zE3BURDwbeANwdUppPlv3EuCs7O+3Ah9OGeBS4C3dvg3SINq6dSuNpwmklGwNlySpj+TVJ3waeEXW6k1EvJZGy/Z64GTgW80VU0r3Ac/JJvdbBnw7m/cUWbeVnRGxc25urvO3QOpzO3fuPOi0JEnKTy4hPKX0APAe4PqI+DKNlvGvAA8CAaSFm2S/D7Zs4TGuSimNpZTGRkdHO1a7JEmS1K7cRkdJKX05pXRqSukXgD+j0c/7u8DdNEI5ABGxBvheNrnfsuzv7/SkYPWMI3p0xtjY2EGnJUlSfnIL4RFxcvY7gIuAa1NK+4DrgHMiYlW26nnANdnfnwYuiAzwO8C1PS1cXVepVJienqZSqeRdykDbsGEDIyONp/jIyAgbNmzIuSJJktSU5zjhGyLiVmAnjW4mm+CJPuBXArdFxHZgPqVUyZbdCdwC7ABuB76WUvpmHsWrO6rVKpOTk6SUmJyctDW8DcVikfHxcQDGx8cpFos5VyRJkppW9OpAKaVPLpi+lMboJoutez1w/QGWfRT4aKfrU3+oVCrU63UA6vU6lUqFM844I+eqBtfP/uzPctddd3HqqafmXYokSWrhFTPVV6ampqjVagDUajWmpqZyrmiwffWrX2V+fp6bbrop71IkSVILQ7j6yvj4OIVCAYBCofBEdwo9fV6sR5Kk/mUIV18pl8v7nUxYLpdzrmhwebEeSZL6V8/6hPerLVu2MDMz09Y+mttv3rx52ftYu3YtGzdubKuOYVAsFimVStx6662USiVPJmzDYhfredOb3pRTNZIkqdVhH8JnZmaY/u53WX3M0cvex95o/L7noQeXtf38/cvbbliVy2VmZ2dtBZckSUPrsA/hAKuPOZrnl/MbPeLuiifNtSoWi0xMTORdxsAbGxvjjjvu2G9akiT1B/uES0PKi/VIktS/DOHSkPJiPZIk9S+7o0hDbMOGDezevdtWcEmS+owhXBpi9q+XJKk/2R1FkiRJ6jFDuPpOtVpl06ZNXuFRkiQNLUO4+k6lUmF6eppKpZJ3KQPPDzSSJPUnQ7j6SrVaZXJykpQSk5OThsc2+YFGkqT+ZAhXX6lUKtTrdQDq9brhsQ1+oJEkqX8ZwtVXpqamqNVqANRqNaampnKuaHD5gUaSpP5lCFdfGR8fp1AoAFAoFJ642IyePj/QSJLUvwzh6ivlcnm/S62Xy+WcKxpcfqCRJKl/ebEe9ZVisUipVOLWW2+lVCp5qfVD2LJlCzMzM4su27dv3xMt4fV6nZmZGTZv3vyU9dauXcvGjRu7WqckSdqfIVx9p1wuMzs7ayt4m1asWEGhUKBWq3HUUUexYoVPd0mS+oXvyuo7Xmp96Q7Vgv2Rj3yE2dlZ3vOe9/itgiRJfcQ+4dIQW7FiBevWrTOAS5LUZwzhkiRJUo8ZwiVJkqQeM4RLkiRJPWYIlyRJknrMEC5JkiT1mCFckiRJ6jFDuCRJktRjhnBJkiSpxwzhkiRJUo8ZwiVJkqQeM4RLkiRJPWYIlyRJknrMEC5JkiT1mCFckiRJ6jFDuCRJktRjhnBJkiSpxwzhkiRJUo8ZwiVJkqQeM4RLkiRJPWYIlyRJknpsxaFWiIifB+pAZD8AK4Fac15K6YauVShJkiQNmaW0hK8B3gD8Z2BzNv2nwHOA0ey3JEmSpCU6ZEt4SukvImIEuBHYmE2/MaX0F90vT5IkSRo+h2wJj4g30uh68gDw3mx2vZtFSZIkScNsKd1R3gLsA64GdmfzUtcqkiRJkobcUkJ4PaV0HXAu8IGIeM4St5MkSZK0iCWF8IiIlNIjwHuAPwRWZP3EJUmSJD1NhzwxE1gFFIB9KaW5iPh34DMpJfuFS5IkScuwlNFRfm7hLGCqO+VIkiRJw285XUpenVJ6oOOVSJIkSYeJpVwx8wvA3pZZj0bE57K/RwBSSqcvYT8XAg+klP48m34JcGlWwyrgPSmlW7JlpwMfzDa9MaX0+y37ORs4h8bVOq9JKV1+qGNLkiRJ/WQp3VFe384BIuIE4G+B9cAHWhZ9DDgzpfT/RcTzgeuBsYg4DpgATkkpzUfEpoh4XUrpHyLiRUAZGMv2cX1EfC2l9I12apQkSZJ6aUndUSLiiOUeIKV0T0qpBLx7waJ9wPezvx8E/m/29xuAq1NK89n0JcBZ2d9vBT6cMjRa0t+y3NokSZKkPCxldBSAmyJiN3A/8Kcppf/dgWO/C/iLiNgG/Bxwdjb/ZGB7c6WU0n3Z2OTNZd9q2ce3s3lPkXVbORvgxBNP7EC5kiRJUmcs9cTM72f9vt8HvC0ifqedg2ZjjL8RuA64HPhT4M8j4kgafb0XXpGzOX2wZfvPTOmqlNJYSmlsdHS0nXIlSZKkjlpqCE8AKaV7U0rnAkdExB+1cdzTgIdSStenlPamlL4KTAKnAncDL2iuGBFrgO9lk/sty/7+Tht1SNKSVatVNm3aRLVazbsUSdKAW2oIf0brRErpUuCYiHjVMo+7GyhFxCqAiDiKxgmX36TROn5OcxlwHnBN9vengQsiA/wOcO0ya5Ckp6VSqTA9PU2lUsm7FEnSgFtqCL9wkXnvBx5ZzkFTSjuArcDXIuKrwOeAi1NK304p3QdcCdwWEduB+ZRSJdvuTuAWYAdwO/C1lNI3l1ODJD0d1WqVyclJUkpMTk7aGi5JasuSTsxMKf3zIvN+APxgqQdKKX1ywfTHgY8fYN3raQxZuNiyjwIfXepxNXiq1SrXXnstZ511FsViMe9yJKDRCl6v1wGo1+tUKhXOOOOMnKuSJA2q5VwxU+oqv/JXP5qamqJWqwFQq9WYmprKuSJJ0iAzhKuv+JW/+tX4+DiFQgGAQqHA+Ph4zhVJkgaZIVx9ZbGv/KV+UC6XGRlpvGSOjIxQLpdzrkiSNMgM4eorfuWvflUsFimVSkQEpVLJ8xUkSW0xhKuv+JW/+lm5XGb9+vW2gkuS2mYIV1/xK3/1s2KxyMTEhK3gkqS2GcLVV/zKX5IkHQ6WNE641EvlcpnZ2VlbwSVJ0tAyhKvvNL/ylyRJGlZ2R5EkSZJ6zBAuSZIk9ZghXJIkSeoxQ7gkSZLUY4ZwSZIkqccM4ZIkSVKPGcIlSZKkHjOES5IkST1mCFffqVarbNq0iWq1mncpkiRJXWEIV9+pVCpMT09TqVTyLkWSJKkrDOHqK9VqlcnJSVJKTE5O2houSZKGkiFcfaVSqVCv1wGo1+u2hkuSpKFkCFdfmZqaolarAVCr1Ziamsq5IkmSpM4zhKuvjI+PUygUACgUCoyPj+dckfQkTxqWJHWKIVx9pVwuMzLSeFiOjIxQLpdzrkh6kicNS5I6xRCuvlIsFnnxi18MwI/92I9RLBZzrkhq8KRhSVInGcLVd+655x4AZmZmcq5EepInDUuSOskQrr6ya9cuvv/97wPw/e9/3yCuvuFJw5KkTjKEq6986lOf2m/6k5/8ZD6FSAt40rAkqZMM4eors7OzB52W8lIul4kIACLCk4YlSW0xhKuvrFmz5qDTUl6KxSKjo6MAjI6OetKwJKkthnD1lV/5lV/Zb3rjxo05VSLtr1qtMjc3B8Dc3Jyjo0iS2mIIHxK7du3iggsuGPgTGe+66679pv/5n/85p0qk/VUqFVJKAKSUHB1FktQWQ/iQ+NSnPsX8/PzAn8i4cMQJR6BQv3B0FElSJxnCh8CuXbueOIFxdnZ2oFvDHYFC/crHpiSpkwzhQ2CYhvXzsvXqVz42JUmdZAgfAsM0rF+xWKRUKhERlEolR6BQ3/CxKUnqJEP4EBi2Yf3K5TLr16+3pVF9x8emJKlTDOFD4Mwzz9xv+s1vfnM+hXRIsVhkYmLClkb1HR+bkqROMYQPgXXr1j3R+r1mzRrWrl2bc0WSJEk6GEP4kDjzzDNZvXr1wLeCS5IkHQ5W5F2AOmPdunVceumleZchSZKkJbAlXJIkSeoxQ7gkSZLUY4ZwSZIkqccM4ZIkSVKPGcIlSZKkHjOES5IkST1mCJckSZJ6zBAuSZIk9ZghXJIkSeoxQ7gkSZLUY4ZwSZIkqccM4ZK0RLt27eKCCy5gZmYm71IkSQOuZyE8Ii6MiLdlf58QETcv+Plqy7qnR8TO7OdDC/ZzdkR8PSLujIh39Kp+SfrUpz7F/Pw8n/zkJ/MuRZI04LoewrPAPQm8szkvpXRPSunVzR/gvcDObP3jgAnglJTSGPDMiHhdtuxFQBkYA34KeHVEvLjbt2EQDFMLXbVaZdOmTVSr1bxLkZ6wa9cuZmdnAZidnR2K55okKT8run2AlNI9QCki3gysPsBq5wG/l/39BuDqlNJ8Nn0JcDnwD8BbgQ+nlBJARFwKvAW4YLn1zc3NMf/oo9xduWm5u2jb/P0PMrdnb1v7aG2he//739+hyvJRqVSYnp6mUqlwxhln5F2OBDSeY62G4bkmScpP7n3CI+J5wL6U0q5s1snAt5rLU0r3Ac9ZbBnw7WzeYvs9u9mlZW5urvOF95FhaqGrVqtMTk6SUmJyctLWcPWN5nPsQNOSJD0dXW8JX4LzgctapgNIC9ZJS1i2/8yUrgKuAhgbG1t0HYDR0VEeP2Ilzy+f+nRq7qi7KzcxetTRy95+mFroKpUK9XodgHq9bmu4+saaNWv2C95r1qzJsRpJ0qDLtSU8Io4GTk4p7WyZfTfwgpZ11gDfW2xZ9vd3ul1nvxumFrqpqSlqtRoAtVqNqampnCuSGs4888z9pt/85jfnU4gkaSjk3R3lHLLW6hbXAedExKps+jzgmuzvTwMXRAb4HeDanlTaxxa2yA1yC934+DiFQgGAQqHA+Ph4zhVJDevWrXviubVmzRrWrl2bSx2euCxJwyG3EB4RK2mMdPKF1vlZH/ArgdsiYjswn1KqZMvuBG4BdgC3A19LKX2zp4X3oWFqoSuXy4yMNB6WIyMjlMvc9VbIAAAgAElEQVTlnCuSnnTmmWeyevXqXJ9jrScuS5IGV89CeErpkymlP2+Z3psNUVhfZN3rU0rjKaWXp5QuWrDso9myUtbv+7DXLy10nVAsFimVSkQEpVKJYrGYd0nSE9atW8ell16aayu4Jy5L0nDohxMztQRbtmw56KgnDz/8MAArVqxg8+bNi66zdu1aNm7c2JX6OqlcLjM7O2sruLSAJy5L0vDIu0+4OqRWq/GMZzyD1asPNBT74CgWi0xMTNgKLi3gicuSNDxsCR8Qh2rBbrZ+n3/++b0oR1IOxsfH2b59O7VazROXJWnA2RIuSQPCE5claXgYwiVpQHjisiQND7ujSNIA8cRlSRoOhnBJGiDNE5clSYPN7iiSJElSjxnCJUmSpB6zO4rUxw51kaZDaW57oAs4LdWgXOhJkqRBYQiX+tjMzAzT3/0uq485elnb743G73seenDZNczfv/xtJUnS4gzhUp9bfczRPL98am7Hv7tyU27HliRpWBnC1VNL6V4xNzcHwOjo6AHXsXuEJEkaZIZw9Z09e/bkXYIkSVJXGcLVU0tpvW6eRHj++ed3uxxJkqRcOEShJEmS1GOGcEmSJKnHDOGSJElSjxnCJUmSpB4zhEuSJEk9ZgiXJEmSeswQLkmSJPWYIVySJEnqMUO4JEmS1GOGcEmSJKnHDOGSJElSjxnCJUmSpB4zhEvqumq1yqZNm6hWq3mXIklSXzCES+q6SqXC9PQ0lUol71IkSeoLhnBJXVWtVpmcnCSlxOTkpK3hkiRhCJfUZZVKhXq9DkC9Xrc1XJIkDOGSumxqaoparQZArVZjamoq54okScqfIVxSV42Pj1MoFAAoFAqMj4/nXJEkSfkzhEvqqnK5zMhI46VmZGSEcrmcc0WSJOXPEC6pq4rFIqVSiYigVCpRLBbzLkmSpNytyLsAScOvXC4zOztrK7gkSRlDuKSuKxaLTExM5F2GJEl9wxAuSZktW7YwMzNzwOVzc3MAjI6OHnCdtWvXsnHjxo7XJkkaLoZwSVqiPXv25F2CJGlIGMIldV21WuXaa6/lrLPO6usTMw/Vgr1582YAzj///F6UI0kaYo6OIqnrKpUK09PTXi1TkqSMIVxSV1WrVSYnJ0kpMTk5SbVazbskSZJyZwiX1FWVSoV6vQ5AvV63NVySJAzhkrpsamqKWq0GQK1WY2pqKueKJEnKnyFcUleNj49TKBQAKBQKjI+P51yRJEn5M4RL6qpyuczISOOlZmRkxKtmSpKEIVxSlxWLRUqlEhFBqVTq6yEKJUnqFccJl9R15XKZ2dlZW8ElScoYwiV1XbFYZGJiIu8yJEnqG3ZHkSRJknrMEC5JkiT1mCFckiRJ6jFDuCRJktRjPQvhEXFhRLytZfoZEXF1RGzLft7Usuz0iNiZ/XxowX7OjoivR8SdEfGOXtWvw0u1WmXTpk1Uq9W8S5H242NTkoZD10dHiYgTgL8F1gMfaFm0GbgppfTb2XonZb+PAyaAU1JK8xGxKSJel1L6h4h4EVAGxrJ9XB8RX0spfaPbt0OHl61bt/Kd73yHrVu38qY3venQG2ggbNmyhZmZmWVv39x28+bNy97H2rVr2bhx47K397EpScOh6yE8pXQPUIqINwOrASLieOCklNJft6z33ezPNwBXp5Tms+lLgMuBfwDeCnw4pZSy/VwKvAW4YOFxI+Js4GyAE088seO3S8OrWq2yY8cOAHbs2MGGDRu8wMyQmJmZYfq732X1MUcva/u90fh9z0MPLmv7+fuXt12Tj01JGh55jRP+Y8AdEXER8GrgMeD3U0p3AicD25srppTui4jnZJMnA99q2c+3s3lPkVK6CrgKYGxsLHW4/o6bm5trq3WtEy100H4rXbstjZB/a+PWrVvJPueRUrLFccisPuZonl8+NZdj3125qa3tfWxK0vDIK4Q/C/g14O0ppYsi4mTgbyPiJ4AAFobm5vTBlg20PXv2sGvXdzn++OW1aq1c2bgbarUHll3Dvfe238e03ZZGyL+1cefOnU+ZNuioH/jYlKThkVcI/w6wLaX0VYCU0nciYhdwLHA38ALgToCIWAN8L9uuuWwym35Btq+hcPzxRc4995W5Hf+KK7Z1ZD95tjRC+62NkiRJ3ZbLEIUppbuAEyPiJwEi4rnAsSmlHwDXAedExKps9fOAa7K/Pw1cEBngd4Bre1u9ht3Y2NhBp6W8+NiUpOGRV0s4wG8BfxYRRwN7gbfBE33ArwRui4i9wJdSSpVs2Z0RcQuwA6gB16aUvtluIfP3P9hW6+njDz8CwKojn7Xs4x+xIs9/hVpt2LCBqakp6vU6IyMjbNiwIe+SJKDx2Lzjjjv2m5YkDaaeJb+U0icXTM8Av3SAda8Hrj/Aso8CH+1UXWvXrm17HzMPNUL4CUctsx/0UUczNzfXdh3qjGKxyPj4OHfccQfj4+OOPqG+EhGklGh8GShJGlSHffNrOyOBNDVH8Tj//PPb2kc7J1WqszZs2MDu3bttaVyCpYyI0/yQOTo6esB12h2Z53BQqVT2C+GVSoUzzjgj77KWrVqtcu2113LWWWf5YVfSYcfL1kuLKBaLTExMGAw6ZM+ePezZsyfvMgZes5sUQL1eZ2pqKueK2lOpVJienqZSqeRdiiT13GHfEi6pPUtpve7Et0WC8fFxtm/fTq1Wo1AoMD4+nndJy1atVpmcnCSlxOTkJOVy2Q+9kg4rtoRL0oAol8uMjDRetkdGRiiXyzlXtHyVSmW/Vn1bwyUdbgzhkjQgisUipVKJiKBUKg10y/HU1BS1Wg2AWq028F1rJOnpMoRL0gApl8usX79+oFvBodG1plAoAAx81xpJWg77hEs6bMzNzTH/6KO5XVV1/v4Hmduzt619NE8aHnTlcpnJyUlqtdrAd62RpOUwhEt9LO/QCJ0JjtJCza41t95668B3rZGk5TCESzpsjI6O8vgRK3l++dRcjn935SZGl3tRryFULpeZnZ21FVzSYckQLvWxvEMjGBzVPcPStUaSlsMTMyVJkqQesyVch6VDXWrdy6xLkqRuMoT3ibm5OebnH+GKK7blVsO99z7I6tX7cjt+P/ES65IkqZsM4TosHaoF28usS5KkbjKE94nR0VFqtRWce+4rc6vhiiu2USg8O7fjS5IkHS48MVOSJEnqMUO4JEmS1GOGcEmSJKnH7BOujvIy61J7OjF8JjiEpiT1O0O4JA0Qh8+UpOFgCFdHeZl1qT0OnylJhwf7hEuSJEk9ZgiXJEmSeszuKJKkp+3iiy9m9+7dB1z++OOPk1Jq+zgRwapVqw64/Nhjj+XCCy9s+ziS1GuGcKnPzd//4LJHm3n84UcAWHXks5Z9/P+Y283MQ4880Rd5OZqjfbSzD0f76C+PPPIIj83PM7Ji8beRekrQgRAOsGffvsWPsW8fjzzySEeOoeGyZcsWJicnD7h8fn6+7Q+JEcHq1asPuLxUKvmapYMyhEt9bO3atW1tP/NQI6Cc0MaJqjMPPUJK+6jVHlj2PlaubLzZLXcf995bXfax1R2ehC1J7TGES32s3VaUToyksXnzZmq1Bzj33Fe2VUs7rrhiW27H7rS5ubncv1WAznyzcLBvaR5/+BHqexdvwX46RlauOOA3OfP3PwiGcC1i48aNtkKr7xnCNZT6IejYfUKL2bNnD7t2fZfjjy8ua/t2v1WAznyzcKhvaeb27GVPB3qjHLHqiAO3dh91dNvfFklSXgzhGkp5Bx27T+hgjj++OPDfLPgBU5LaYwjX0Moz6AxT9wlJktR5hnBJh5U8R5uZv/9BjjjAaCKSpMOL7wZ95N57q8tuQf3BDxrh4Ljjlj8U3b33Vlm37tnL3l7qd7mPNnPU0czNzbVVwzCpVqtce+21nHXWWRSLy+s6JkmDyhDeJ9oNB3v3PgpAobD8EL1u3bM9yUlPMTc3x/z8I7l2sbn33gdZvbr9kTb6abQZQaVSYXp6mkqlwhlnnJF3OZLUU4bwPtEP4aBT2vm6H/zKXzocVKtVJicnSSkxOTlJuVy2NVzSYcWkoo7qREu6X/n3l9HRUWq1FbmP5tHOtzzqP5VKhXq9DkC9Xrc1XNJhxxCujurEsGV+5S8Nv6mpKWq1GgC1Wo2pqSlDuKTDiiFcknpomPrYt2N8fJzt27dTq9UoFAqMj4/nWo8k9dpI3gVIkg4/5XKZkZHGW9DIyAjlcjnniiSpt2wJ11DKu7WxH1oa1Z/sY99QLBYplUrceuutlEolT8qUdNgxhEuSclEul5mdnbUVXNJhyRCuoZR3a2M/tDRK/a5YLDIxMZF3GZLatGXLFmZmZg64vDli2ejo6AHXWbt2bUcGdxgkhnBJkiR1zZ49e/IuoS8ZwjW07r23uuw+4T/4QWOs8uOOW94Fg+69t8q6dcPTEt7OfQmDc38eqjWnuaw5jOZiDsfWHEmHt0O95vXTBQX7iSFcQ6ndiwbt3fsowLK7lKxb9+yOXLioH3TidgzL/XnEEUd0ZD95fkBsHn+YPiRK6p6LL76Y3bt3t7WPZkv4u971rmXv49hjj+XCCy9sq45+YwjXUGq3JdJP7U/qlwsw9UIvWrDz/oAI/fOhRlL/e+SRR3hsfp6RFcuPjPXs9559yxs1rL5vH4888shB1xnEfumGcEnqIT8gShoko6OjPH7ESp5fPjW3Gu6u3MToUUe3tY9+7JduCJckSdIBzd//IHdXblr29o8/3GjFXnXk8rrRzd//IBwihA9iv3RDuCRJkhbVia5rMw81QvgJy23NPupoHnvssYOeFH/IGpZwYv1SdLLLiiFckiRJi1pK4DxUf+ylOFS43bx5M7t2fZfjj1/e1XVXrkwA1GoPLGt7aJzU3kmGcEmSJHVNJ0aWapxYmZa9fTsjSj0pPXGCZycYwnVYcjxoSZI6w/fC5TGES4vo1HjQkiSpfaOjo9RqKzj33FfmVsMVV2xra3jYhXoWwiPiQuCBlNKfR8Ra4EagtU3/QymlL2frvgzYDIwA/wy8PaW0L1t2OvDBbJsbU0q/36vboOHhp3ZJkgbLsF3orOshPCJOAP4WWA98oOW4/5JSOmOR9VcClwCvTSntjojzgHOAyyPiOGACOCWlNB8RmyLidSmlf+j27ZAkSVI+hvFCZ10P4Smle4BSRLwZWL2ETV4D3JBSal4j9UoareaXA28Ark4pzWfLLsnmdzWE23+4c5ZyBrX359L52JQkHQ4O9T7VixFaOi3PPuHrI+J/AScA/w68K6X0A+Bk4FvNlVJKj2et42TLtrcsuy8inrPYziPibOBsgBNPPLE7tyBj/+HO8v7snF7cl36wkiT1u37MFnmF8B8AlwJfSCk9GhG/DFwG/AYQPHUMmub0wZbtPzOlq4CrAMbGxpY/pg390X94WFo88z7+sBmU+7MfX/z6VSee69Afz3dJ6pVBfL3LJYSnlB4BrmuZ/ruIeE82eTfwwuayiFgF7GtZ9gLgzmzZGuB7vai53xlylJdBfOEbZD7XJWk45BLCI+IoYF1K6f9k028Ebs8W3wC8OyI+nlJ6ADgLuD5bdh3w1xHx2ZTS48B5wDW9rT4fBh3p8OBzXZIOD3l1R6kBF2Qjp6wCvgm8CyAb9eT3gRsiYh9wF/C72bL7IuJK4LaI2At8KaVUyeUWSJIkScsUKbXVXXogjI2NpZ07d+ZdhiRJi9qyZQuTk5MHXD4/P08n3q8jgtWrDzxQWalU8tsYqQ0R8fWU0thS1h3pdjGSJEmS9mdLuCRJktQBtoRLkiRJfcwQLkmSJPWYIVySJEnqMUO4JEmS1GOGcEmSJKnHDOGSJElSjxnCJUmSpB4zhEuSJEk9ZgiXJEmSeswQLkmSJPWYIVySJEnqMUO4JEmS1GOGcEmSJKnHDOGSJElSjxnCJUmSpB4zhEuSJEk9ZgiXJEmSeswQLkmSJPVYpJTyrqHrImIO+Pe861iC44Af5F3EkPC+7Czvz87y/uwc78vO8v7sLO/PzhmU+/I/pZRGl7LiYRHCB0VE7EwpjeVdxzDwvuws78/O8v7sHO/LzvL+7Czvz84ZxvvS7iiSJElSjxnCJUmSpB4zhPeXq/IuYIh4X3aW92dneX92jvdlZ3l/dpb3Z+cM3X1pn3BJkiSpx2wJlyRJknrMEC5Jkp4iIn51GdsUIuKXulGPNGwM4csUESMR8ScRcXNE3BERn4mICyPibS3rvCwibouIH8qz1n4WEZF3DQcSES/Ou4bliogjIuLS7PF3S0RsjYgXRMR/yx6zX4uI2yPiF/OuddAd4LVgzUHWf19EbM/+L5dHxOps/kUR8Zrm797dAh2ussduRMSqiBhZsGwc+M9Pd58ppRrw8oh4XqfqzEv2XLxikfmTEfHHC+a9MCI+eYj9+dxfxMEehwvWi4hYGRHPiIhCL2vsFkP48r0VqKaUXp1SeimNEwbmmwsj4iTgY8DGlNKji+0gIsYi4g8iYmNEnHWoA2brvrRlOhYsH8l+XxcRxy/jNnVNRLwoIv4xIr7SfHGOiFcBv3eQbT6X/f78gvlvzPZ1c/ZzU0T8+oJ1joyISyLiHyLijyPi2S3bvrllvV9v3o8RcWb2+4Zs8SVt3/D8fAr4t5TSK1JKPwN8EHgJ8AHgdSmlVwG/DBwDkL0BfDX7/3wlu0//W/aCd3Nzp9mL5U0RcWP2Pzgnm1+JiFdHxH9frJiIOLa7NzdXi70WPHexFSPivcCqlNLLs//LrcA1vSu1fyz2+pX9fDEiVh5i279fZPuVEfF3C+ZtjYhVC4+xyP5WHuqY/S4iTo6IT2S3+Vdb5v99y3vDuyNiKnuunwLcAXwJ+Hsarw+tLgA+usxyLgPeu8xt+81rW993l+twee538nEYEa/N3o++FBH/AnwD+Bzwt8CPtay3KiIui0bD0s3Ze9OtEfE7B6nz16Ol0TQvK/IuYID9JPBXzYmU0pcj4gRgdUQUgb8G3pJSmm2uExGXAD8B7EgpfSCbXQdSyzorgDNSSv9rkWPuIQv6EfES4CMRUctq+QawDzgNeDzbb1+IiLcDq4DraHzwe11E7AH+Fahl63yNxu17HPin7P7Zl+3i8ZZ9vQJ4DY0g2bwvngn8VUR8L6V0c7bqZhpP6Iuy9S8H3pgdr9ZS3q8Bn8nez3+JRnhtHm9Py3FfnO1jnsb/ayT7OQ54e0rp9uXeP50WES+n8WJ/dXNeSumuiDgC+FbzQ2FK6T7g09kqt9EIk0XgKOC3gd0ppb3ZY6y5n3pEPJ5Sek12rGYQ+g8a/6+9Byhre0T8VErpkY7d0P7xlNeCxVaKiCNpPN7GWtb964j4jRjgb13a8JWIeJzGm+ld2bwLaQwYsDcifhK4mCcbN34Y+LmU0mPAvvTUUQX+C7B+wby9KaXHW6Y3AO/MXjO+BwRwIjAHXA38ZWduWm9l4ebPgfOAGeCPI2JXSmkS2JNSar4f7AF+N5tPRPx7SmnjIvs7lsZryLKerymleyLixIhYmVI60GvCoLiIxv3581kr/9N2uDz3O/04TCl9EfhilouupfH+8o7me3+LX6TREPKyllpW0Hhv/1xKaWZBnQG8GahHxNXL/b92giF8+T4PXBMRHwC2ppSagW0FcD3wqZTSvzRXjoifB+ZTSqdF4yupn6HxQKzRCHWtofk0YLEQXmiul1K6C/iFbN9fTCm9tmW9fYtsm5uU0pUR8SvAmTTeUD8K/BbwNhofVqDxBP1vS9jdjwKfaX0SppT+IyI+DbwIuDmbfXRKqdkq9nfxZOv3fh96aLwJfyWbt7ZZS8u6zWN8A3jVwmIi4lLggSXU3UtlGh8mFvoX4JSI+B/AVQtemF4NvBhofmhcn1L6evb3SyLiK8BvpJS+B7woGl+7jgBfjYjfZJH7rCl7rD9C4//9kXZuWJ860GvBQi8DvtLyRtT0WeDnullgP0op/Rw0WshSSk90i2p+sEsp/ROND9C0rPfYQXb5dhqPx9NSSje2bDfSvM+z14S/i4htzdfM7LH9C4uE+kGyhkbjxf8BiIjLabyPTAIjEfFRYCuN17ufy4LfLPDDEfG7NBpJtqWUprL9/Vcarxdk+1sFbAJ+JNvHOcA0jdbLtwG7gBuBDSmlh7LNpmm8Xv/vbt3oHrmPxnv6ecCfLnMfh8tzv6OPw2h8g/0q4HQaH8gfBP4sIrYBX8oakqDxrcKvRsT/S6Nxr04jD9wL3NNaYPaN18doNEA9DPzPiHhHSuk/unGHHIohfJlSSjdk4eMc4E8i4u9p/PPfC/wd8JaI+HjLC/t/pfEiBY3Q9ypgW3N3PNk6G7QEmaxV/XM0gvWPZPumZfnLgPHWNxr2D5m5i4hR4Czg/wFW02gRPwP4KeCF2WpLbS25Cbg2InYDd9K4rS8G3gG0fvV0b0S8HvgyjRe5Zpeghf3IVgM/n+3n+mze0RHxbuAZi9yWVcAzgWcDzwF+nMYbUD95LvB/ASJiM41vX1YA/wS8gsZj9oaI+D7w7pTS11NKXwC+EBEvBP6Gxv+q2bLxLymln2/Z//9JKb05W74a+Aue/DC1n4h4HY3/y6uBD0fEecCVC1onB9oBXgves0g3tFEabwoL3Uvj/5Jba0xestaqn4yIF6WUvpnNLkREtIbi7FvG+w+yn1+n0Zp9EY3Wr3tbGkG+EhGbU0qt3dp2RcSzaHyQnBnwAA6NIPNfs+fvDI3X263ZsgA+RCNwfItGP++HgLtpNIxE9vNAy/vIDwO7W/b/e8A3UkrviIjnA5ellF6fPZ//CPg6cEVLAIdGYDquK7e29z4OfCkiPpNSar7evzEiSi3rPBP45lM3BQ6f536nH4cn0Wi4++1ma3VE/DZwKnA0jQ9IpJS+D7whIl4AnEzj/fwLKaWPNQvL3sveAvwq8Gcppb/P5u8GPhcRtwN/2OtvbgzhbUgp7QB2RMQzgCuAPwQ+kVJ6Z0T8NY3W3maXgL08eX+vovGGvRH4Ao0HTPNNYAX7t8BWgZ+FRp/w1uNnD6oLaHS9eAeNT3fQZyGcxgvM4zzZ4l+jUe+LgO3ZOoudn/DjWaAZbc5IKd2dPQnfRuMDz0rg32mEnn9t2fb3suVvA/6NJwP6HvZvrf1XGsEeGi8IAA+nlD6cdX0BICL+C42WoN3AD1p+jj5Qn/8c3Q+cQKNF4nyA7I3zj1JKu2m8af5RRJwOfD4a5y+cSuMxeQTw6ymlf8v2tZLGCyPZfgK4LyKu4cn/69U0XihXkv0fI+JFNB6P24BfyVoZ3hYRG4DrIuK6lFLzQ8/AO8BrwcSC1e6npR9ji+NpPK6O7mqR/ekcGs/V99B4I4bG4+2GiLg0pfSlbN772b8VMiLiH2l88/UvND5ovz2lVMs+EH0wIt4PFFJKp7ZsdDaNbmcraHzbGMCzI+Im4OIDdSXqd1k3sXNpdOc5BrgupfS1bHEB+D6NFsnz+f/bu/9Yq+s6juPP171cJCRcuMnWNMkkZ8xmbW01Gw0norSQauEmy7WYZSubAuZwTWygNuUPkWwoDV1LW7Phj0nERI2YIKFli1/pH+WvVWtRtKkM7u3dH+/Pl/O9h3svoJfDvee8HtvdPfd7Pt/v+d5zvj/en8/n/fmcPFfrKYtd5PvRQ95Lni5lJtZe4gvAATXG3kwsr7tb0qvA5yLizqbdGkttnNRoVt7fxeQxWOU5PxwRh/PeS+A5WB58R5z7w3kcSgoyvgngunLvqX56gPdJurVs92Yacc/h32UbAm6LTBneDcyNiAOSzgT6ImKbpFnAtJOROuUgfBhExDslLeHLwMtl8ULgOUnrSuDzPHCNpD+StcMF5EE4k/6ts91knpLIltjJwOkR8QK11uLSIruKzJPaCKyT9Ebpbh1RM45ExL4StD1QFt0B7CC76KaVZT3K0c6TgQ+T/+vOiPiSpHVN23sFWCRpPpk/ekTqTvlMtpBB9kFgeumGOp8cBFKVWzTALq8svx+sldsFHJEuU07ekWYTme/2ZG3ZlOZCEfGEpFuA9wO7gLvInolPSrqwFOsq26vWCbKX5x5yAE0vOYC1q6y/rpTbLWlmc/drRDxOo2Wk7dSuBVuVOc2QuYpXANuAW5tbeckBsjeT14+OIWk2MDUirlfO5nMbGWwrImbVyi0G9kTES/XVa+ksXRHxmKSppUv7HPLedi+ZEnFYRNwvaQ2ZNjS3rL8hIi4/kf9rK0TEn5VpeacC70iaQQYre8vx9muycnM1+f4cohGwfBZYHI0c8FfIHsJKL3DxILmzHwHGS5rY1BJ+VtlOW4iIlyS9VnpYByXpYnIgPHTguT9cx2G5X79INvb0ktkD50fE3fXXK7HSU2Sl7xFy3AfAkxFxWXm+2rf62K0Z5XV/VvZr57C9CcfBQfi7pEb+Z5XvNp+ceQKAiPibpJXAD8mulG2SPk4GdhsiYrNyAJ3IAKY6UIIMmJ4gc43fJHPqXqB/rvc8Mu98a9mfecD3JG0s2xpp0/d0A98s3UYASNpPI5d4NxnAvUneOH9D48Q8pZQfA/yvFtiJoY/hT5G17vr79kHgr/VCpSX4djKfrSzSAcrnWSoH0RxQKmd5+XvpkeiKiJGSi7+JrKR8JSIeKRW2G4BTSyvF6tJicSFwMCL2AfsknUFWEKP2A/n+LW96jYVkK0I9ZWA6tbz5AfIf29Jg14KIWFkvFxH/kbQeWEqmTVAqkvsj4k/KcRMdQZkLOpvMsyUi1irHbVxKaRlTprEtB/5db3FsVjvO1pItbLvIG/e5wGpJ00oluiof1X1Z0mRK6labuIysHFc9jmPIhocba2VmkdfBKqDuInsll9TK7AQ+Wvt7Pdlr8eNyPVxQKjRfI683rwLLKJ9nuSaOi4h/Duc/NwIsBTYMVSAinqHRu1ot67Rz/z0fh6VVen9VuJyzR8Q15R7UW4LtqO7D1Tle3aNqLelRlnVTYoPyXDf944uWcBD+7j0B/EA5cGAMsIXMdRpbK/Mjsov60xHxfCdUXDsAAARxSURBVETcR+aWVbppBMzVYKS3GHqgRlWuX+tv5GCwZXD4gBppn+2lZB7Y4SC8VCC2lsffbV6hBN3QyM2eC9xQAuRDlBO8XMDGkO/9QxGxtpQ/l+xx+MtRTqyFwM8j86Kr176ArEB9nhwUslDSO+RJW21rbPl5jpxq6idHfxtOvBJkXAncK2khOXPJ3WR3/1nAFuXsNG8BX62tOgF4OiJuPYbXGKjCUR/LcD/Zql51OfbRvyuxp2rJbAMDXQtWDVJ2GbBE0u/IY+kP5DHa7E7llGaVqyOibYLFyIHO32la9iCApJvKorPJ7uxnB9jEEdMTksfY3mgM2t4jaQeNaTjn0+iBPK/0sJ0GTCoB0jhgRUQMGWSNcB8DLj/K9e6UiJgx1EZKJf0ZSZ8prYd3kbNxbSbP89WSJpHXlEsi04C+LekTkQNq51B6xdpJaaFdQf8Ky7HqpHN/WI7DJlWD5WCan2v++yLyM+hVY8avPklX1couJwd5toxi1I9HGb0knU22ep8JjImIgWa0qJdfCjxaa3EbrNwDZH7jy0OVayVJq8iW6f+SAXQ3Jf89BpkVRdLpEfEvSZsj57U+3tdcS7bmvE3/wPmxiLinVm4K2RJ+Bnmi95IVqtsj4vfH+7qjVek2XENWloL8fLrJad5mD7Vubf2LIqK51dzsmCnnpb94qBu4mmZUKcsuIVvaxtBo3NgOLClB4lhyasO27aGR9Cz9B/n1kZWLa6OMmZH0IjmItZopqoe8Lt4UEdtr2xpPDsC85jj3oYvslfh6O7/XNrjhPA5r25wOTImInzY/V54/FfhFdV2Q9HBEXDV8/9WJ4SC8Dan/TCkjVtViHy0eDDFAXp4NYbQcT2Z2dAOdzyVwDl8XrVV8HCYH4WZmZmZmLeavrTczMzMzazEH4WZmZmZmLeYg3MzMzMysxRyEm5mZmZm1mINwM7MOJalH0qNNyx4v0/khqavMWDDQej2t2k8zs3Y00r7QxczMWmca+bXjdYci4mB5fAX5RVXjgX+Q829/iJzfdw3wUKt21Mys3XiKQjOzDiXpPvIbJH8VERvLsl8C8+pz+Er6bURML483ATM7aS5fM7MTwekoZmYdSNKVZIv2IuBaSRfUnt4kaU7t79clTZA0EXjDAbiZ2XvnlnAzsw4jaS4wG/hW+Ur3CcAtwPfJr37+Yin3DWAumbr4NpmO8gGgF7gjIp46GftvZtYOHISbmXWY6iujJU0FrgPOIQPt14H9EbG4VlbA4xExp/y9ISIuPxn7bWbWTjww08ysw9TyvdcC1wO7gD7gXGC1pGkRsauUjYzDQdJk4LXW77GZWftxEG5m1oHKFIN9wN6IOFAW75G0A5gkaT6wgBy4eZ6kdcBp5bn1wDhgRURsOAm7b2Y26jkdxcysQ0m6BLiRbJAR0A1sB5aUx731WVLMzGz4OAg3MzMzM2sxT1FoZmZmZtZiDsLNzMzMzFrMQbiZmZmZWYs5CDczMzMzazEH4WZmZmZmLeYg3MzMzMysxf4Pd7veT3bvEhUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10e9d8080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.boxplot(x=\"상표\", y=\"가격\", hue=\"셀프\", data=stations, palette=\"Set3\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110e04668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.boxplot(x=\"상표\", y=\"가격\", data=stations, palette=\"Set3\")\n",
    "sns.swarmplot(x=\"상표\", y=\"가격\", data=stations, color=\".6\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## 4-5 서울시 구별 주유 가격 확인하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import folium\n",
    "import googlemaps\n",
    "import warnings\n",
    "warnings.simplefilter(action = \"ignore\", category = FutureWarning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>Oil_store</th>\n",
       "      <th>가격</th>\n",
       "      <th>상표</th>\n",
       "      <th>셀프</th>\n",
       "      <th>주소</th>\n",
       "      <th>구</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>서남주유소</td>\n",
       "      <td>2132.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 중구 통일로 30 (봉래동1가)</td>\n",
       "      <td>중구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>장충주유소</td>\n",
       "      <td>2130.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 중구 장충단로 202 (장충동1가)</td>\n",
       "      <td>중구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>양재주유소</td>\n",
       "      <td>2128.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 서초구 바우뫼로 178 (양재동)</td>\n",
       "      <td>서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>뉴서울(강남)</td>\n",
       "      <td>2120.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강남구 언주로 716 (논현동)</td>\n",
       "      <td>강남구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>531</th>\n",
       "      <td>오천주유소</td>\n",
       "      <td>2107.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강남구 봉은사로 503 (삼성동)</td>\n",
       "      <td>강남구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>재동주유소</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울특별시 종로구  율곡로 58 (경운동)</td>\n",
       "      <td>종로구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>청파주유소</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울특별시 용산구  청파로 311 (청파동1가)</td>\n",
       "      <td>용산구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>갈월동주유소</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울특별시 용산구  한강대로 322 (갈월동)</td>\n",
       "      <td>용산구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>강변주유소</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울특별시 용산구  원효로 9 (청암동)</td>\n",
       "      <td>용산구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>통일주유소</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 중구 동호로 296 (장충동2가)</td>\n",
       "      <td>중구</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Oil_store      가격     상표 셀프                          주소    구\n",
       "325     서남주유소  2132.0  SK에너지  N        서울 중구 통일로 30 (봉래동1가)   중구\n",
       "324     장충주유소  2130.0  SK에너지  N      서울 중구 장충단로 202 (장충동1가)   중구\n",
       "124     양재주유소  2128.0  SK에너지  N       서울 서초구 바우뫼로 178 (양재동)  서초구\n",
       "532   뉴서울(강남)  2120.0  SK에너지  N        서울 강남구 언주로 716 (논현동)  강남구\n",
       "531     오천주유소  2107.0  SK에너지  N       서울 강남구 봉은사로 503 (삼성동)  강남구\n",
       "313     재동주유소  2106.0  SK에너지  N     서울특별시 종로구  율곡로 58 (경운동)  종로구\n",
       "285     청파주유소  2106.0  SK에너지  N  서울특별시 용산구  청파로 311 (청파동1가)  용산구\n",
       "284    갈월동주유소  2106.0  SK에너지  N   서울특별시 용산구  한강대로 322 (갈월동)  용산구\n",
       "283     강변주유소  2106.0  SK에너지  N      서울특별시 용산구  원효로 9 (청암동)  용산구\n",
       "323     통일주유소  2106.0  SK에너지  N       서울 중구 동호로 296 (장충동2가)   중구"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations.sort_values(by='가격', ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\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>Oil_store</th>\n",
       "      <th>가격</th>\n",
       "      <th>상표</th>\n",
       "      <th>셀프</th>\n",
       "      <th>주소</th>\n",
       "      <th>구</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>만남의광장주유소</td>\n",
       "      <td>1490.0</td>\n",
       "      <td>알뜰(ex)</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 서초구 양재대로12길 73-71 (원지동)</td>\n",
       "      <td>서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>강서오곡셀프주유소</td>\n",
       "      <td>1497.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울특별시 강서구 벌말로 254 (오곡동)</td>\n",
       "      <td>강서구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>태릉솔밭주유소</td>\n",
       "      <td>1497.0</td>\n",
       "      <td>S-OIL</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울특별시 노원구 노원로 49 (공릉동)</td>\n",
       "      <td>노원구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>수유동주유소</td>\n",
       "      <td>1498.0</td>\n",
       "      <td>GS칼텍스</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울특별시 강북구  도봉로 395 (수유동)</td>\n",
       "      <td>강북구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>(주)강서오일</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>현대오일뱅크</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 영등포구 도신로 151 (도림동)</td>\n",
       "      <td>영등포구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>도림주유소</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>알뜰주유소</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울 영등포구 도림로 343 (도림동)</td>\n",
       "      <td>영등포구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>(주)대청에너지 대청주유소</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>GS칼텍스</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 영등포구 가마산로 328 (대림동)</td>\n",
       "      <td>영등포구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>풀페이주유소</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울특별시 구로구 경인로 41 (온수동)</td>\n",
       "      <td>구로구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>신일셀프주유소</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울 중랑구 상봉로 58 (망우동)</td>\n",
       "      <td>중랑구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>서경주유소</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>현대오일뱅크</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 동작구 대림로 46 (신대방동)</td>\n",
       "      <td>동작구</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Oil_store      가격      상표 셀프                          주소     구\n",
       "83         만남의광장주유소  1490.0  알뜰(ex)  N  서울 서초구 양재대로12길 73-71 (원지동)   서초구\n",
       "344       강서오곡셀프주유소  1497.0   SK에너지  Y     서울특별시 강서구 벌말로 254 (오곡동)   강서구\n",
       "451         태릉솔밭주유소  1497.0   S-OIL  Y      서울특별시 노원구 노원로 49 (공릉동)   노원구\n",
       "258          수유동주유소  1498.0   GS칼텍스  Y    서울특별시 강북구  도봉로 395 (수유동)   강북구\n",
       "227         (주)강서오일  1499.0  현대오일뱅크  N       서울 영등포구 도신로 151 (도림동)  영등포구\n",
       "225           도림주유소  1499.0   알뜰주유소  Y       서울 영등포구 도림로 343 (도림동)  영등포구\n",
       "226  (주)대청에너지 대청주유소  1499.0   GS칼텍스  N      서울 영등포구 가마산로 328 (대림동)  영등포구\n",
       "415          풀페이주유소  1499.0   SK에너지  N      서울특별시 구로구 경인로 41 (온수동)   구로구\n",
       "326         신일셀프주유소  1499.0   SK에너지  Y         서울 중랑구 상봉로 58 (망우동)   중랑구\n",
       "40            서경주유소  1499.0  현대오일뱅크  N        서울 동작구 대림로 46 (신대방동)   동작구"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations.sort_values(by='가격', ascending=True).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        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>가격</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>구</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>강남구</th>\n",
       "      <td>1791.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강동구</th>\n",
       "      <td>1656.722222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강북구</th>\n",
       "      <td>1534.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강서구</th>\n",
       "      <td>1576.428571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관악구</th>\n",
       "      <td>1603.055556</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "              가격\n",
       "구               \n",
       "강남구  1791.000000\n",
       "강동구  1656.722222\n",
       "강북구  1534.333333\n",
       "강서구  1576.428571\n",
       "관악구  1603.055556"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "gu_data = pd.pivot_table(stations, index=[\"구\"], values=[\"가격\"], \n",
    "                         aggfunc=np.mean)\n",
    "gu_data.head()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
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    color_map_63fe2cea4df5482d8e79a75bca49493c.x = d3.scale.linear()
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              .range([0, 400]);

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    color_map_63fe2cea4df5482d8e79a75bca49493c.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};
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        .tickSize(1)
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        .attr("width", 450)
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        .attr("transform", "translate(25,16)");

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            x0: i ? color_map_63fe2cea4df5482d8e79a75bca49493c.x(color_map_63fe2cea4df5482d8e79a75bca49493c.color.domain()[i - 1]) : color_map_63fe2cea4df5482d8e79a75bca49493c.x.range()[0],
            x1: i < color_map_63fe2cea4df5482d8e79a75bca49493c.color.domain().length ? color_map_63fe2cea4df5482d8e79a75bca49493c.x(color_map_63fe2cea4df5482d8e79a75bca49493c.color.domain()[i]) : color_map_63fe2cea4df5482d8e79a75bca49493c.x.range()[1],
            z: d
          };
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        .attr("height", 10)
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        .attr("width", function(d) { return d.x1 - d.x0; })
        .style("fill", function(d) { return d.z; });

    color_map_63fe2cea4df5482d8e79a75bca49493c.g.call(color_map_63fe2cea4df5482d8e79a75bca49493c.xAxis).append("text")
        .attr("class", "caption")
        .attr("y", 21)
        .text('');
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x1a18cfd5c0>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_path = '../data/02. skorea_municipalities_geo_simple.json'\n",
    "geo_str = json.load(open(geo_path, encoding='utf-8'))\n",
    "\n",
    "map = folium.Map(location=[37.5502, 126.982], zoom_start=10.5, \n",
    "                 tiles='Stamen Toner')\n",
    "\n",
    "map.choropleth(geo_data = geo_str,\n",
    "               data = gu_data,\n",
    "               columns=[gu_data.index, '가격'],\n",
    "               fill_color='PuRd', #PuRd, YlGnBu\n",
    "               key_on='feature.id')\n",
    "map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4-6 서울시 주유 가격 상하위 10개 주유소 지도에 표기하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "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>Oil_store</th>\n",
       "      <th>가격</th>\n",
       "      <th>상표</th>\n",
       "      <th>셀프</th>\n",
       "      <th>주소</th>\n",
       "      <th>구</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>서남주유소</td>\n",
       "      <td>2132.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 중구 통일로 30 (봉래동1가)</td>\n",
       "      <td>중구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>장충주유소</td>\n",
       "      <td>2130.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 중구 장충단로 202 (장충동1가)</td>\n",
       "      <td>중구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>양재주유소</td>\n",
       "      <td>2128.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 서초구 바우뫼로 178 (양재동)</td>\n",
       "      <td>서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>뉴서울(강남)</td>\n",
       "      <td>2120.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강남구 언주로 716 (논현동)</td>\n",
       "      <td>강남구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>531</th>\n",
       "      <td>오천주유소</td>\n",
       "      <td>2107.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강남구 봉은사로 503 (삼성동)</td>\n",
       "      <td>강남구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>재동주유소</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울특별시 종로구  율곡로 58 (경운동)</td>\n",
       "      <td>종로구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>청파주유소</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울특별시 용산구  청파로 311 (청파동1가)</td>\n",
       "      <td>용산구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>갈월동주유소</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울특별시 용산구  한강대로 322 (갈월동)</td>\n",
       "      <td>용산구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>강변주유소</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울특별시 용산구  원효로 9 (청암동)</td>\n",
       "      <td>용산구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>통일주유소</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 중구 동호로 296 (장충동2가)</td>\n",
       "      <td>중구</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Oil_store      가격     상표 셀프                          주소    구\n",
       "325     서남주유소  2132.0  SK에너지  N        서울 중구 통일로 30 (봉래동1가)   중구\n",
       "324     장충주유소  2130.0  SK에너지  N      서울 중구 장충단로 202 (장충동1가)   중구\n",
       "124     양재주유소  2128.0  SK에너지  N       서울 서초구 바우뫼로 178 (양재동)  서초구\n",
       "532   뉴서울(강남)  2120.0  SK에너지  N        서울 강남구 언주로 716 (논현동)  강남구\n",
       "531     오천주유소  2107.0  SK에너지  N       서울 강남구 봉은사로 503 (삼성동)  강남구\n",
       "313     재동주유소  2106.0  SK에너지  N     서울특별시 종로구  율곡로 58 (경운동)  종로구\n",
       "285     청파주유소  2106.0  SK에너지  N  서울특별시 용산구  청파로 311 (청파동1가)  용산구\n",
       "284    갈월동주유소  2106.0  SK에너지  N   서울특별시 용산구  한강대로 322 (갈월동)  용산구\n",
       "283     강변주유소  2106.0  SK에너지  N      서울특별시 용산구  원효로 9 (청암동)  용산구\n",
       "323     통일주유소  2106.0  SK에너지  N       서울 중구 동호로 296 (장충동2가)   중구"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "oil_price_top10 = stations.sort_values(by='가격', ascending=False).head(10)\n",
    "oil_price_top10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Oil_store</th>\n",
       "      <th>가격</th>\n",
       "      <th>상표</th>\n",
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       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>만남의광장주유소</td>\n",
       "      <td>1490.0</td>\n",
       "      <td>알뜰(ex)</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 서초구 양재대로12길 73-71 (원지동)</td>\n",
       "      <td>서초구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>강서오곡셀프주유소</td>\n",
       "      <td>1497.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울특별시 강서구 벌말로 254 (오곡동)</td>\n",
       "      <td>강서구</td>\n",
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       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>태릉솔밭주유소</td>\n",
       "      <td>1497.0</td>\n",
       "      <td>S-OIL</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울특별시 노원구 노원로 49 (공릉동)</td>\n",
       "      <td>노원구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>수유동주유소</td>\n",
       "      <td>1498.0</td>\n",
       "      <td>GS칼텍스</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울특별시 강북구  도봉로 395 (수유동)</td>\n",
       "      <td>강북구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>(주)강서오일</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>현대오일뱅크</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 영등포구 도신로 151 (도림동)</td>\n",
       "      <td>영등포구</td>\n",
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       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>도림주유소</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>알뜰주유소</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울 영등포구 도림로 343 (도림동)</td>\n",
       "      <td>영등포구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>(주)대청에너지 대청주유소</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>GS칼텍스</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 영등포구 가마산로 328 (대림동)</td>\n",
       "      <td>영등포구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>풀페이주유소</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울특별시 구로구 경인로 41 (온수동)</td>\n",
       "      <td>구로구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>신일셀프주유소</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울 중랑구 상봉로 58 (망우동)</td>\n",
       "      <td>중랑구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>서경주유소</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>현대오일뱅크</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 동작구 대림로 46 (신대방동)</td>\n",
       "      <td>동작구</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Oil_store      가격      상표 셀프                          주소     구\n",
       "83         만남의광장주유소  1490.0  알뜰(ex)  N  서울 서초구 양재대로12길 73-71 (원지동)   서초구\n",
       "344       강서오곡셀프주유소  1497.0   SK에너지  Y     서울특별시 강서구 벌말로 254 (오곡동)   강서구\n",
       "451         태릉솔밭주유소  1497.0   S-OIL  Y      서울특별시 노원구 노원로 49 (공릉동)   노원구\n",
       "258          수유동주유소  1498.0   GS칼텍스  Y    서울특별시 강북구  도봉로 395 (수유동)   강북구\n",
       "227         (주)강서오일  1499.0  현대오일뱅크  N       서울 영등포구 도신로 151 (도림동)  영등포구\n",
       "225           도림주유소  1499.0   알뜰주유소  Y       서울 영등포구 도림로 343 (도림동)  영등포구\n",
       "226  (주)대청에너지 대청주유소  1499.0   GS칼텍스  N      서울 영등포구 가마산로 328 (대림동)  영등포구\n",
       "415          풀페이주유소  1499.0   SK에너지  N      서울특별시 구로구 경인로 41 (온수동)   구로구\n",
       "326         신일셀프주유소  1499.0   SK에너지  Y         서울 중랑구 상봉로 58 (망우동)   중랑구\n",
       "40            서경주유소  1499.0  현대오일뱅크  N        서울 동작구 대림로 46 (신대방동)   동작구"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "oil_price_bottom10 = stations.sort_values(by='가격', ascending=True).head(10)\n",
    "oil_price_bottom10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "gmap_key = \"***************************************\" # 2장에서 구한 자신의 key를 입력\n",
    "gmaps = googlemaps.Client(key=gmap_key)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Oil_store</th>\n",
       "      <th>가격</th>\n",
       "      <th>상표</th>\n",
       "      <th>셀프</th>\n",
       "      <th>주소</th>\n",
       "      <th>구</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>서남주유소</td>\n",
       "      <td>2132.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 중구 통일로 30 (봉래동1가)</td>\n",
       "      <td>중구</td>\n",
       "      <td>37.558348</td>\n",
       "      <td>126.972090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>장충주유소</td>\n",
       "      <td>2130.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 중구 장충단로 202 (장충동1가)</td>\n",
       "      <td>중구</td>\n",
       "      <td>37.562719</td>\n",
       "      <td>127.007010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>양재주유소</td>\n",
       "      <td>2128.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 서초구 바우뫼로 178 (양재동)</td>\n",
       "      <td>서초구</td>\n",
       "      <td>37.478071</td>\n",
       "      <td>127.039610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>뉴서울(강남)</td>\n",
       "      <td>2120.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강남구 언주로 716 (논현동)</td>\n",
       "      <td>강남구</td>\n",
       "      <td>37.517636</td>\n",
       "      <td>127.035756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>531</th>\n",
       "      <td>오천주유소</td>\n",
       "      <td>2107.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 강남구 봉은사로 503 (삼성동)</td>\n",
       "      <td>강남구</td>\n",
       "      <td>37.513458</td>\n",
       "      <td>127.053786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>재동주유소</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울특별시 종로구  율곡로 58 (경운동)</td>\n",
       "      <td>종로구</td>\n",
       "      <td>37.576388</td>\n",
       "      <td>126.985851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>청파주유소</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울특별시 용산구  청파로 311 (청파동1가)</td>\n",
       "      <td>용산구</td>\n",
       "      <td>37.547451</td>\n",
       "      <td>126.969904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>갈월동주유소</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울특별시 용산구  한강대로 322 (갈월동)</td>\n",
       "      <td>용산구</td>\n",
       "      <td>37.546955</td>\n",
       "      <td>126.972218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>강변주유소</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울특별시 용산구  원효로 9 (청암동)</td>\n",
       "      <td>용산구</td>\n",
       "      <td>37.534910</td>\n",
       "      <td>126.945869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>통일주유소</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 중구 동호로 296 (장충동2가)</td>\n",
       "      <td>중구</td>\n",
       "      <td>37.560714</td>\n",
       "      <td>127.003177</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Oil_store      가격     상표 셀프                          주소    구        lat  \\\n",
       "325     서남주유소  2132.0  SK에너지  N        서울 중구 통일로 30 (봉래동1가)   중구  37.558348   \n",
       "324     장충주유소  2130.0  SK에너지  N      서울 중구 장충단로 202 (장충동1가)   중구  37.562719   \n",
       "124     양재주유소  2128.0  SK에너지  N       서울 서초구 바우뫼로 178 (양재동)  서초구  37.478071   \n",
       "532   뉴서울(강남)  2120.0  SK에너지  N        서울 강남구 언주로 716 (논현동)  강남구  37.517636   \n",
       "531     오천주유소  2107.0  SK에너지  N       서울 강남구 봉은사로 503 (삼성동)  강남구  37.513458   \n",
       "313     재동주유소  2106.0  SK에너지  N     서울특별시 종로구  율곡로 58 (경운동)  종로구  37.576388   \n",
       "285     청파주유소  2106.0  SK에너지  N  서울특별시 용산구  청파로 311 (청파동1가)  용산구  37.547451   \n",
       "284    갈월동주유소  2106.0  SK에너지  N   서울특별시 용산구  한강대로 322 (갈월동)  용산구  37.546955   \n",
       "283     강변주유소  2106.0  SK에너지  N      서울특별시 용산구  원효로 9 (청암동)  용산구  37.534910   \n",
       "323     통일주유소  2106.0  SK에너지  N       서울 중구 동호로 296 (장충동2가)   중구  37.560714   \n",
       "\n",
       "            lng  \n",
       "325  126.972090  \n",
       "324  127.007010  \n",
       "124  127.039610  \n",
       "532  127.035756  \n",
       "531  127.053786  \n",
       "313  126.985851  \n",
       "285  126.969904  \n",
       "284  126.972218  \n",
       "283  126.945869  \n",
       "323  127.003177  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from tqdm import tqdm_notebook\n",
    "\n",
    "lat = []\n",
    "lng = []\n",
    "\n",
    "for n in tqdm_notebook(oil_price_top10.index):\n",
    "    try:\n",
    "        tmp_add = str(oil_price_top10['주소'][n]).split('(')[0]\n",
    "        tmp_map = gmaps.geocode(tmp_add)\n",
    "\n",
    "        tmp_loc = tmp_map[0].get('geometry')\n",
    "        lat.append(tmp_loc['location']['lat'])\n",
    "        lng.append(tmp_loc['location']['lng'])\n",
    "        \n",
    "    except:\n",
    "        lat.append(np.nan)\n",
    "        lng.append(np.nan)\n",
    "        print(\"Here is nan !\")\n",
    "        \n",
    "oil_price_top10['lat'] = lat\n",
    "oil_price_top10['lng'] = lng\n",
    "oil_price_top10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6168da9154dd49829c7ab8fa53afd6fd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>HBox</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "HBox(children=(IntProgress(value=0, max=10), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\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>Oil_store</th>\n",
       "      <th>가격</th>\n",
       "      <th>상표</th>\n",
       "      <th>셀프</th>\n",
       "      <th>주소</th>\n",
       "      <th>구</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>만남의광장주유소</td>\n",
       "      <td>1490.0</td>\n",
       "      <td>알뜰(ex)</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 서초구 양재대로12길 73-71 (원지동)</td>\n",
       "      <td>서초구</td>\n",
       "      <td>37.459906</td>\n",
       "      <td>127.042060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>강서오곡셀프주유소</td>\n",
       "      <td>1497.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울특별시 강서구 벌말로 254 (오곡동)</td>\n",
       "      <td>강서구</td>\n",
       "      <td>37.555284</td>\n",
       "      <td>126.768567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>태릉솔밭주유소</td>\n",
       "      <td>1497.0</td>\n",
       "      <td>S-OIL</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울특별시 노원구 노원로 49 (공릉동)</td>\n",
       "      <td>노원구</td>\n",
       "      <td>37.625918</td>\n",
       "      <td>127.085533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>수유동주유소</td>\n",
       "      <td>1498.0</td>\n",
       "      <td>GS칼텍스</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울특별시 강북구  도봉로 395 (수유동)</td>\n",
       "      <td>강북구</td>\n",
       "      <td>37.642140</td>\n",
       "      <td>127.029568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>(주)강서오일</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>현대오일뱅크</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 영등포구 도신로 151 (도림동)</td>\n",
       "      <td>영등포구</td>\n",
       "      <td>37.509969</td>\n",
       "      <td>126.908231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>도림주유소</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>알뜰주유소</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울 영등포구 도림로 343 (도림동)</td>\n",
       "      <td>영등포구</td>\n",
       "      <td>37.507656</td>\n",
       "      <td>126.900191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>(주)대청에너지 대청주유소</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>GS칼텍스</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 영등포구 가마산로 328 (대림동)</td>\n",
       "      <td>영등포구</td>\n",
       "      <td>37.498556</td>\n",
       "      <td>126.895791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>풀페이주유소</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>N</td>\n",
       "      <td>서울특별시 구로구 경인로 41 (온수동)</td>\n",
       "      <td>구로구</td>\n",
       "      <td>37.491009</td>\n",
       "      <td>126.826675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>신일셀프주유소</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>SK에너지</td>\n",
       "      <td>Y</td>\n",
       "      <td>서울 중랑구 상봉로 58 (망우동)</td>\n",
       "      <td>중랑구</td>\n",
       "      <td>37.590907</td>\n",
       "      <td>127.093834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>서경주유소</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>현대오일뱅크</td>\n",
       "      <td>N</td>\n",
       "      <td>서울 동작구 대림로 46 (신대방동)</td>\n",
       "      <td>동작구</td>\n",
       "      <td>37.487947</td>\n",
       "      <td>126.908240</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Oil_store      가격      상표 셀프                          주소     구  \\\n",
       "83         만남의광장주유소  1490.0  알뜰(ex)  N  서울 서초구 양재대로12길 73-71 (원지동)   서초구   \n",
       "344       강서오곡셀프주유소  1497.0   SK에너지  Y     서울특별시 강서구 벌말로 254 (오곡동)   강서구   \n",
       "451         태릉솔밭주유소  1497.0   S-OIL  Y      서울특별시 노원구 노원로 49 (공릉동)   노원구   \n",
       "258          수유동주유소  1498.0   GS칼텍스  Y    서울특별시 강북구  도봉로 395 (수유동)   강북구   \n",
       "227         (주)강서오일  1499.0  현대오일뱅크  N       서울 영등포구 도신로 151 (도림동)  영등포구   \n",
       "225           도림주유소  1499.0   알뜰주유소  Y       서울 영등포구 도림로 343 (도림동)  영등포구   \n",
       "226  (주)대청에너지 대청주유소  1499.0   GS칼텍스  N      서울 영등포구 가마산로 328 (대림동)  영등포구   \n",
       "415          풀페이주유소  1499.0   SK에너지  N      서울특별시 구로구 경인로 41 (온수동)   구로구   \n",
       "326         신일셀프주유소  1499.0   SK에너지  Y         서울 중랑구 상봉로 58 (망우동)   중랑구   \n",
       "40            서경주유소  1499.0  현대오일뱅크  N        서울 동작구 대림로 46 (신대방동)   동작구   \n",
       "\n",
       "           lat         lng  \n",
       "83   37.459906  127.042060  \n",
       "344  37.555284  126.768567  \n",
       "451  37.625918  127.085533  \n",
       "258  37.642140  127.029568  \n",
       "227  37.509969  126.908231  \n",
       "225  37.507656  126.900191  \n",
       "226  37.498556  126.895791  \n",
       "415  37.491009  126.826675  \n",
       "326  37.590907  127.093834  \n",
       "40   37.487947  126.908240  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lat = []\n",
    "lng = []\n",
    "\n",
    "for n in tqdm_notebook(oil_price_bottom10.index):\n",
    "    try:\n",
    "        tmp_add = oil_price_bottom10['주소'][n].split('(')[0]\n",
    "        tmp_map = gmaps.geocode(tmp_add)\n",
    "\n",
    "        tmp_loc = tmp_map[0]['geometry']\n",
    "        lat.append(tmp_loc['location']['lat'])\n",
    "        lng.append(tmp_loc['location']['lng'])\n",
    "        \n",
    "    except:\n",
    "        lat.append(np.nan)\n",
    "        lng.append(np.nan)\n",
    "        print(\"Here is nan !\")\n",
    "    \n",
    "oil_price_bottom10['lat'] = lat\n",
    "oil_price_bottom10['lng'] = lng\n",
    "oil_price_bottom10"
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    "    if pd.notnull(oil_price_top10['lat'][n]):\n",
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