custompublicdatareader


Namecustompublicdatareader JSON
Version 0.1.3 PyPI version JSON
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upload_time2024-08-01 12:09:34
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requires_python<4.0.0,>=3.9.19
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            <div align="center">

<img src="https://github.com/WooilJeong/PublicDataReader/blob/main/assets/img/logo.png?raw=true" width="500" />

<b>공공 데이터 조회를 위한 오픈소스 파이썬 라이브러리</b><br>
<b>🚀`pip install PublicDataReader --upgrade`</b>

[![Pypi 패키지 버전](https://img.shields.io/pypi/v/publicdatareader.svg)](https://pypi.org/project/publicdatareader/)
[![License](https://img.shields.io/pypi/l/ansicolortags.svg)](https://img.shields.io/pypi/l/ansicolortags.svg)
[![Python](https://img.shields.io/badge/Official-Docs-tomato)](https://wooiljeong.github.io/PublicDataReader/)
[![Downloads](https://static.pepy.tech/badge/publicdatareader)](https://pepy.tech/project/publicdatareader)  
[![오픈채팅](https://img.shields.io/badge/오픈채팅-PublicDataReader_사용자모임-yellow?logo=KakaoTalk)](https://open.kakao.com/o/gbt2Pl2d)


<br>

<div align="left">

## PublicDataReader

PublicDataReader는 공공 데이터를 자동으로 조회할 수 있는 파이썬 라이브러리입니다. 이 라이브러리로 공공데이터포털과 국가통계포털(KOSIS)과 같이 오픈 API 서비스로 제공하는 공공 데이터를 쉽게 조회할 수 있습니다. 인증키가 필요한 공공 데이터는 인증키를 사용하여 조회할 수 있고, 인증키가 필요하지 않은 데이터는 별도의 인증 절차 없이 조회할 수 있습니다. PublicDataReader를 이용하면 일반적인 공공 데이터 조회 과정에서 필요한 API 명세 찾기, 요청 작성, 반환된 데이터 정리 과정을 자동으로 처리할 수 있고, 웹에 공개된 데이터를 조회할 때도 데이터 수집과 가공 과정을 자동화할 수 있습니다. 이를 통해 코드 작성이 간결해지고 공공 데이터 조회 작업이 편리해집니다.


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## 설치 방법

1. 운영체제(OS)에 따라 아래 중 하나를 선택합니다.

- Windows: CMD(명령 프롬프트) 실행
- Mac: Terminal(터미널) 실행

2. 아래 Shell 명령어를 입력 후 실행합니다.

```bash
pip install custompublicdatareader --upgrade
```

<br>

## 사용 방법

아래는 PublicDataReader 사용법을 자세히 설명한 가이드 문서들입니다. 이 문서들을 통해 라이브러리가 어떤 오픈 API 서비스를 지원하는지 알아볼 수 있습니다. 데이터를 조회할 때 필요한 정보와 함께, 코드 예시도 제공되어 있어 실제 사용에 바로 활용할 수 있습니다.

<div align="center">

| 사용 가이드 목록                                                                                                                | 플랫폼명                                                      | 인증키 |
| :------------------------------------------------------------------------------------------------------------------------ | :--------------------------------------------------------- | :--------- |
| [FRED(Federal Reserve Economic Data) 사용 가이드](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/fred/fred.md)            | [FRED(Federal Reserve Economic Data)](https://fred.stlouisfed.org/docs/api/fred/)                          | 필요         |
| [국토교통부 부동산 실거래가 사용 가이드](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/TransactionPrice.md) | [공공데이터포털](https://www.data.go.kr/)                        | 필요         |
| [국토교통부 건축물대장정보 사용 가이드](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/BuildingLedger.md)    | [공공데이터포털](https://www.data.go.kr/)                        | 필요         |
| [국토교통부 건축인허가정보 사용 가이드](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/BuildingLicense.md)    | [공공데이터포털](https://www.data.go.kr/)                        | 필요         |
| [국토교통부 주택인허가정보 사용 가이드](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/HousingLicense.md)    | [공공데이터포털](https://www.data.go.kr/)                        | 필요         |
| [국토교통부 토지임야정보 사용 가이드](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/LandForestLedger.md)   | [공공데이터포털](https://www.data.go.kr/)                        | 필요         |
| [국토교통부 토지소유정보 사용 가이드](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/LandOwnership.md)   | [공공데이터포털](https://www.data.go.kr/)                        | 필요         |
| [소상공인시장진흥공단 상가(상권)정보 사용 가이드](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/SmallShop.md)   | [공공데이터포털](https://www.data.go.kr/)                        | 필요         |
| [한국자산관리공사 공매물건 사용 가이드](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/Kamco.md)             | [공공데이터포털](https://www.data.go.kr/)                        | 필요         |
| [국세청 사업자등록정보 진위확인 및 상태조회 사용 가이드](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/Nts.md)     | [공공데이터포털](https://www.data.go.kr/)                        | 필요         |
| [한국부동산원 부동산 종합 정보 사용 가이드](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/Reb.md)            | [공공데이터포털](https://www.data.go.kr/)                        | 필요         |
| [KOSIS 통계정보 사용 가이드](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/kosis/Kosis.md)                 | [국가통계포털(KOSIS)](https://kosis.kr/openapi/index/index.jsp) | 필요         |
| [ECOS 한국은행 경제통계 서비스 사용 가이드](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/ecos/ecos.md)                 | [한국은행 경제통계시스템(ECOS)](https://ecos.bok.or.kr/api/) | 필요         |
| [서울시 교통 관련 데이터 사용 가이드](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/seoul/Transportation.md)     | [서울 열린데이터 광장](https://data.seoul.go.kr/)                  | 필요         |
| [국가공간정보 사용 가이드](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/vworld/VworldData.md)               | [공간정보 오픈플랫폼(V-Word)](https://www.vworld.kr/v4po_main.do)  | 필요         |
| [KB통계 주택가격동향조사 사용 가이드](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/kbland/Kbland.md)            | [KB부동산](https://data.kbland.kr/)                          | 불필요         |

</div>

<br>


## 활용 사례 모음

아래는 PublicDataReader 활용 사례 모음입니다. 이들 사례를 통해, 실제 사용자들이 어떻게 이 라이브러리를 다양하고 창의적인 방식으로 활용하고 있는지 알아볼 수 있습니다. PublicDataReader를 사용한 재미있는 프로젝트가 있다면 자유롭게 PR을 보내주세요.

<div align="center">


| 제목                                              | 출처       |
|:-------------------------------------------------|:----------|
| [공공데이터를 활용한 우리 동네 아파트 실거래가 분석](https://www.youtube.com/watch?v=31EX6TLao5g&t=852s) | [나도코딩 유튜브 채널](https://www.youtube.com/@nadocoding) |
| [Python 국세청홈택스 사업자등록상태 조회 방법](https://blog.naver.com/devradio/223419187567) | [심심한세상](https://blog.naver.com/devradio) |
| [[부동산 데이터 수집] KOSIS 시군구별 미분양 현황 및 준공후 미분양 데이터 조회(파이썬)](https://growing-datascientist.tistory.com/136) | [레디코의 인사이트창고](https://growing-datascientist.tistory.com/) |
| [[부동산 데이터 수집] KOSIS 시군구별 주택 건설 착공 실적(파이썬)](https://growing-datascientist.tistory.com/137) | [레디코의 인사이트창고](https://growing-datascientist.tistory.com/) |
| [[부동산 데이터 수집] 국가통계포털/부동산원 아파트 전세가율 상하락요인 확인(파이썬)](https://growing-datascientist.tistory.com/138) | [레디코의 인사이트창고](https://growing-datascientist.tistory.com/) |
| [[부동산 데이터 수집] 국가통계포털 지역별 전월세전환율(파이썬 API) 금리와의 관계](https://growing-datascientist.tistory.com/139) | [레디코의 인사이트창고](https://growing-datascientist.tistory.com/) |
| [파이썬으로 부동산 매매가 조회기 만들기 - 1. 만들기 시작하기, API 키 발급받기](https://drop-by-drop-fills-the-tub.tistory.com/65) | [밑빠진 독에 티끌붓기](https://drop-by-drop-fills-the-tub.tistory.com/) |
| [파이썬으로 부동산 매매가 조회기 만들기 - 2. 지역 구분별 코드 먼저 준비하기](https://drop-by-drop-fills-the-tub.tistory.com/66) | [밑빠진 독에 티끌붓기](https://drop-by-drop-fills-the-tub.tistory.com/) |
| [파이썬으로 부동산 매매가 조회기 만들기 - 3. 지역별 코드 컨버터 만들기](https://drop-by-drop-fills-the-tub.tistory.com/67) | [밑빠진 독에 티끌붓기](https://drop-by-drop-fills-the-tub.tistory.com/) |
| [파이썬으로 부동산 매매가 조회기 만들기 - 5. 서울 이외의 지역 매매가를 조회하는 메소드 만들기](https://drop-by-drop-fills-the-tub.tistory.com/69) | [밑빠진 독에 티끌붓기](https://drop-by-drop-fills-the-tub.tistory.com/) |
| [파이썬으로 부동산 매매가 조회기 만들기 - 6. 조건 필터와 엑셀로 내보내기 만들어보기](https://drop-by-drop-fills-the-tub.tistory.com/70) | [밑빠진 독에 티끌붓기](https://drop-by-drop-fills-the-tub.tistory.com/) |
| [ECOS api와 PublicDataReader 사용해 경제 데이터 가져오기](https://blog.naver.com/won19600/223361269999) | [경의선통학중](https://blog.naver.com/won19600) |
| [KOSPI 지수와 장단기 금리차 간 상관계수 분석하기](https://blog.naver.com/won19600/223369431187) | [경의선통학중](https://blog.naver.com/won19600) |
| [Python으로 부동산 자료 크롤링(1)_아파트단지별 매물 조회](https://blog.naver.com/neo_in_matrix/223080501154) | [이것 저것 닥치는 대로](https://blog.naver.com/neo_in_matrix) |
| [Python으로 부동산 자료 크롤링(2)_아파트단지별 정보 조회](https://blog.naver.com/neo_in_matrix/223082116325) | [이것 저것 닥치는 대로](https://blog.naver.com/neo_in_matrix) |
| [Python으로 부동산 자료 크롤링(3)_법정동내 아파트단지 고유 코드 조회](https://blog.naver.com/neo_in_matrix/223082171378) | [이것 저것 닥치는 대로](https://blog.naver.com/neo_in_matrix) |
| [Python으로 부동산 자료 크롤링(4)_공공데이터 & PublicDataReader 모듈을 이용한 아파트 실거래가 조회](https://blog.naver.com/neo_in_matrix/223082470340) | [이것 저것 닥치는 대로](https://blog.naver.com/neo_in_matrix) |
| [Python으로 부동산 자료 크롤링(5)_법정동코드 Requests로 얻기](https://blog.naver.com/neo_in_matrix/223086804052) | [이것 저것 닥치는 대로](https://blog.naver.com/neo_in_matrix) |
| [용인 수지 아파트 실거래가 조회하기(feat. PublicDataReader)](https://blog.naver.com/yhhoegwan/223085305300) | [영희회관](https://blog.naver.com/yhhoegwan) |
| [[Python] PublicDataReader 라이브러리를 사용한 FRED 데이터 수집](https://unfinishedgod.netlify.app/2023/07/26/python-publicdatareader-fred/) | [미완성의신](https://unfinishedgod.netlify.app/) |
| [Django_자산관리 Web Program Project_01](https://akym00.tistory.com/2) | [Asset_Web_Program](https://akym00.tistory.com/) |
| [Django_자산관리 W_P_Project_02..[아파트 시세 조회]](https://akym00.tistory.com/3) | [Asset_Web_Program](https://akym00.tistory.com/) |
| [[Python Data Analytics] OpenAPI를 활용한 데이터 호출&적재](https://data-is-power.tistory.com/217) | [데이터로 보는 세상](https://data-is-power.tistory.com/) |
| [부동산 실거래가 조회하기](https://wooiljeong.github.io/python/public_data_reader_01/) | [정우일 블로그](https://wooiljeong.github.io) |
| [건축물대장 데이터 조회하기](https://wooiljeong.github.io/python/public_data_reader_03/) | [정우일 블로그](https://wooiljeong.github.io) |
| [건축인허가 데이터 조회하기](https://wooiljeong.github.io/python/pdr-building-license/) | [정우일 블로그](https://wooiljeong.github.io) |
| [주택인허가 데이터 조회하기](https://wooiljeong.github.io/python/pdr-housing-license/) | [정우일 블로그](https://wooiljeong.github.io) |
| [토지대장 및 임야대장 조회하기](https://wooiljeong.github.io/python/pdr-land-forest-ledger/) | [정우일 블로그](https://wooiljeong.github.io) |
| [토지소유정보 조회하기](https://wooiljeong.github.io/python/pdr-land-ownership/) | [정우일 블로그](https://wooiljeong.github.io) |
| [상가업소 데이터 조회하기](https://wooiljeong.github.io/python/public_data_reader_02/) | [정우일 블로그](https://wooiljeong.github.io) |
| [한국자산관리공사 캠코 공매물건 조회하기](https://wooiljeong.github.io/python/pdr-kamco/) | [정우일 블로그](https://wooiljeong.github.io) |
| [사업자등록정보 진위확인 및 상태조회하기](https://wooiljeong.github.io/python/pdr-nts/) | [정우일 블로그](https://wooiljeong.github.io) |
| [Python으로 KOSIS 데이터 조회하기](https://wooiljeong.github.io/python/pdr-kosis/) | [정우일 블로그](https://wooiljeong.github.io) |
| [주민등록인구 데이터 조회하기](https://wooiljeong.github.io/python/pdr-kosis-ex1/) | [정우일 블로그](https://wooiljeong.github.io) |
| [미분양주택현황 데이터 조회하기](https://wooiljeong.github.io/python/pdr-kosis-ex2/) | [정우일 블로그](https://wooiljeong.github.io) |
| [ECOS 한국은행 경제통계 조회하기](https://wooiljeong.github.io/python/pdr-ecos/) | [정우일 블로그](https://wooiljeong.github.io) |
| [KB부동산 주택가격동향조사 데이터 조회하기](https://wooiljeong.github.io/python/pdr-kbland/) | [정우일 블로그](https://wooiljeong.github.io) |
| [법정동코드와 행정동코드 조회하기](https://wooiljeong.github.io/python/pdr-code/) | [정우일 블로그](https://wooiljeong.github.io) |

</div>


<br>

## 구글 코랩(Google Colab)

- [Colab 부동산 실거래가 조회 실습](https://colab.research.google.com/drive/12SGCX4dwQfOwK-nIlG8jUOGSG80xE_o1?pli=1)
- [Colab 건축물대장 정보 조회 실습](https://colab.research.google.com/drive/1g_vwaqrhyZ_HAifxrKd_AFR_8U29elGW)
- [Colab 소상공인 상가업소 정보 조회 실습](https://colab.research.google.com/drive/1wQZcJZfwfl_5y_NK5vbz__95gRt0xwrb)

<br>

## 사용 관련 문의

- **카카오톡 오픈채팅방**: [![오픈채팅](https://img.shields.io/badge/오픈채팅-PublicDataReader_사용자모임-yellow?logo=KakaoTalk)](https://open.kakao.com/o/gbt2Pl2d)
- **이메일**: wooil@kakao.com

<br>

## 기여자


<a href="https://github.com/wooiljeong/PublicDataReader/graphs/contributors">
  <img src="https://contrib.rocks/image?repo=wooiljeong/PublicDataReader" />
</a>

<br>


<div align=center>

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Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "custompublicdatareader",
    "maintainer": null,
    "docs_url": null,
    "requires_python": "<4.0.0,>=3.9.19",
    "maintainer_email": null,
    "keywords": null,
    "author": "Your Name",
    "author_email": "you@example.com",
    "download_url": "https://files.pythonhosted.org/packages/85/cd/f9ab41be700778b1996d7ce20e4ca639b43ec0d386b9da5dd57ce2510058/custompublicdatareader-0.1.3.tar.gz",
    "platform": null,
    "description": "<div align=\"center\">\n\n<img src=\"https://github.com/WooilJeong/PublicDataReader/blob/main/assets/img/logo.png?raw=true\" width=\"500\" />\n\n<b>\uacf5\uacf5 \ub370\uc774\ud130 \uc870\ud68c\ub97c \uc704\ud55c \uc624\ud508\uc18c\uc2a4 \ud30c\uc774\uc36c \ub77c\uc774\ube0c\ub7ec\ub9ac</b><br>\n<b>\ud83d\ude80`pip install PublicDataReader --upgrade`</b>\n\n[![Pypi \ud328\ud0a4\uc9c0 \ubc84\uc804](https://img.shields.io/pypi/v/publicdatareader.svg)](https://pypi.org/project/publicdatareader/)\n[![License](https://img.shields.io/pypi/l/ansicolortags.svg)](https://img.shields.io/pypi/l/ansicolortags.svg)\n[![Python](https://img.shields.io/badge/Official-Docs-tomato)](https://wooiljeong.github.io/PublicDataReader/)\n[![Downloads](https://static.pepy.tech/badge/publicdatareader)](https://pepy.tech/project/publicdatareader)  \n[![\uc624\ud508\ucc44\ud305](https://img.shields.io/badge/\uc624\ud508\ucc44\ud305-PublicDataReader_\uc0ac\uc6a9\uc790\ubaa8\uc784-yellow?logo=KakaoTalk)](https://open.kakao.com/o/gbt2Pl2d)\n\n\n<br>\n\n<div align=\"left\">\n\n## PublicDataReader\n\nPublicDataReader\ub294 \uacf5\uacf5 \ub370\uc774\ud130\ub97c \uc790\ub3d9\uc73c\ub85c \uc870\ud68c\ud560 \uc218 \uc788\ub294 \ud30c\uc774\uc36c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \uc774 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c \uacf5\uacf5\ub370\uc774\ud130\ud3ec\ud138\uacfc \uad6d\uac00\ud1b5\uacc4\ud3ec\ud138(KOSIS)\uacfc \uac19\uc774 \uc624\ud508 API \uc11c\ube44\uc2a4\ub85c \uc81c\uacf5\ud558\ub294 \uacf5\uacf5 \ub370\uc774\ud130\ub97c \uc27d\uac8c \uc870\ud68c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc778\uc99d\ud0a4\uac00 \ud544\uc694\ud55c \uacf5\uacf5 \ub370\uc774\ud130\ub294 \uc778\uc99d\ud0a4\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc870\ud68c\ud560 \uc218 \uc788\uace0, \uc778\uc99d\ud0a4\uac00 \ud544\uc694\ud558\uc9c0 \uc54a\uc740 \ub370\uc774\ud130\ub294 \ubcc4\ub3c4\uc758 \uc778\uc99d \uc808\ucc28 \uc5c6\uc774 \uc870\ud68c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. PublicDataReader\ub97c \uc774\uc6a9\ud558\uba74 \uc77c\ubc18\uc801\uc778 \uacf5\uacf5 \ub370\uc774\ud130 \uc870\ud68c \uacfc\uc815\uc5d0\uc11c \ud544\uc694\ud55c API \uba85\uc138 \ucc3e\uae30, \uc694\uccad \uc791\uc131, \ubc18\ud658\ub41c \ub370\uc774\ud130 \uc815\ub9ac \uacfc\uc815\uc744 \uc790\ub3d9\uc73c\ub85c \ucc98\ub9ac\ud560 \uc218 \uc788\uace0, \uc6f9\uc5d0 \uacf5\uac1c\ub41c \ub370\uc774\ud130\ub97c \uc870\ud68c\ud560 \ub54c\ub3c4 \ub370\uc774\ud130 \uc218\uc9d1\uacfc \uac00\uacf5 \uacfc\uc815\uc744 \uc790\ub3d9\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ucf54\ub4dc \uc791\uc131\uc774 \uac04\uacb0\ud574\uc9c0\uace0 \uacf5\uacf5 \ub370\uc774\ud130 \uc870\ud68c \uc791\uc5c5\uc774 \ud3b8\ub9ac\ud574\uc9d1\ub2c8\ub2e4.\n\n\n<br>\n\n## \uc124\uce58 \ubc29\ubc95\n\n1. \uc6b4\uc601\uccb4\uc81c(OS)\uc5d0 \ub530\ub77c \uc544\ub798 \uc911 \ud558\ub098\ub97c \uc120\ud0dd\ud569\ub2c8\ub2e4.\n\n- Windows: CMD(\uba85\ub839 \ud504\ub86c\ud504\ud2b8) \uc2e4\ud589\n- Mac: Terminal(\ud130\ubbf8\ub110) \uc2e4\ud589\n\n2. \uc544\ub798 Shell \uba85\ub839\uc5b4\ub97c \uc785\ub825 \ud6c4 \uc2e4\ud589\ud569\ub2c8\ub2e4.\n\n```bash\npip install custompublicdatareader --upgrade\n```\n\n<br>\n\n## \uc0ac\uc6a9 \ubc29\ubc95\n\n\uc544\ub798\ub294 PublicDataReader \uc0ac\uc6a9\ubc95\uc744 \uc790\uc138\ud788 \uc124\uba85\ud55c \uac00\uc774\ub4dc \ubb38\uc11c\ub4e4\uc785\ub2c8\ub2e4. \uc774 \ubb38\uc11c\ub4e4\uc744 \ud1b5\ud574 \ub77c\uc774\ube0c\ub7ec\ub9ac\uac00 \uc5b4\ub5a4 \uc624\ud508 API \uc11c\ube44\uc2a4\ub97c \uc9c0\uc6d0\ud558\ub294\uc9c0 \uc54c\uc544\ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub370\uc774\ud130\ub97c \uc870\ud68c\ud560 \ub54c \ud544\uc694\ud55c \uc815\ubcf4\uc640 \ud568\uaed8, \ucf54\ub4dc \uc608\uc2dc\ub3c4 \uc81c\uacf5\ub418\uc5b4 \uc788\uc5b4 \uc2e4\uc81c \uc0ac\uc6a9\uc5d0 \ubc14\ub85c \ud65c\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n\n<div align=\"center\">\n\n| \uc0ac\uc6a9 \uac00\uc774\ub4dc \ubaa9\ub85d                                                                                                                | \ud50c\ub7ab\ud3fc\uba85                                                      | \uc778\uc99d\ud0a4 |\n| :------------------------------------------------------------------------------------------------------------------------ | :--------------------------------------------------------- | :--------- |\n| [FRED(Federal Reserve Economic Data) \uc0ac\uc6a9 \uac00\uc774\ub4dc](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/fred/fred.md)            | [FRED(Federal Reserve Economic Data)](https://fred.stlouisfed.org/docs/api/fred/)                          | \ud544\uc694         |\n| [\uad6d\ud1a0\uad50\ud1b5\ubd80 \ubd80\ub3d9\uc0b0 \uc2e4\uac70\ub798\uac00 \uc0ac\uc6a9 \uac00\uc774\ub4dc](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/TransactionPrice.md) | [\uacf5\uacf5\ub370\uc774\ud130\ud3ec\ud138](https://www.data.go.kr/)                        | \ud544\uc694         |\n| [\uad6d\ud1a0\uad50\ud1b5\ubd80 \uac74\ucd95\ubb3c\ub300\uc7a5\uc815\ubcf4 \uc0ac\uc6a9 \uac00\uc774\ub4dc](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/BuildingLedger.md)    | [\uacf5\uacf5\ub370\uc774\ud130\ud3ec\ud138](https://www.data.go.kr/)                        | \ud544\uc694         |\n| [\uad6d\ud1a0\uad50\ud1b5\ubd80 \uac74\ucd95\uc778\ud5c8\uac00\uc815\ubcf4 \uc0ac\uc6a9 \uac00\uc774\ub4dc](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/BuildingLicense.md)    | [\uacf5\uacf5\ub370\uc774\ud130\ud3ec\ud138](https://www.data.go.kr/)                        | \ud544\uc694         |\n| [\uad6d\ud1a0\uad50\ud1b5\ubd80 \uc8fc\ud0dd\uc778\ud5c8\uac00\uc815\ubcf4 \uc0ac\uc6a9 \uac00\uc774\ub4dc](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/HousingLicense.md)    | [\uacf5\uacf5\ub370\uc774\ud130\ud3ec\ud138](https://www.data.go.kr/)                        | \ud544\uc694         |\n| [\uad6d\ud1a0\uad50\ud1b5\ubd80 \ud1a0\uc9c0\uc784\uc57c\uc815\ubcf4 \uc0ac\uc6a9 \uac00\uc774\ub4dc](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/LandForestLedger.md)   | [\uacf5\uacf5\ub370\uc774\ud130\ud3ec\ud138](https://www.data.go.kr/)                        | \ud544\uc694         |\n| [\uad6d\ud1a0\uad50\ud1b5\ubd80 \ud1a0\uc9c0\uc18c\uc720\uc815\ubcf4 \uc0ac\uc6a9 \uac00\uc774\ub4dc](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/LandOwnership.md)   | [\uacf5\uacf5\ub370\uc774\ud130\ud3ec\ud138](https://www.data.go.kr/)                        | \ud544\uc694         |\n| [\uc18c\uc0c1\uacf5\uc778\uc2dc\uc7a5\uc9c4\ud765\uacf5\ub2e8 \uc0c1\uac00(\uc0c1\uad8c)\uc815\ubcf4 \uc0ac\uc6a9 \uac00\uc774\ub4dc](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/SmallShop.md)   | [\uacf5\uacf5\ub370\uc774\ud130\ud3ec\ud138](https://www.data.go.kr/)                        | \ud544\uc694         |\n| [\ud55c\uad6d\uc790\uc0b0\uad00\ub9ac\uacf5\uc0ac \uacf5\ub9e4\ubb3c\uac74 \uc0ac\uc6a9 \uac00\uc774\ub4dc](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/Kamco.md)             | [\uacf5\uacf5\ub370\uc774\ud130\ud3ec\ud138](https://www.data.go.kr/)                        | \ud544\uc694         |\n| [\uad6d\uc138\uccad \uc0ac\uc5c5\uc790\ub4f1\ub85d\uc815\ubcf4 \uc9c4\uc704\ud655\uc778 \ubc0f \uc0c1\ud0dc\uc870\ud68c \uc0ac\uc6a9 \uac00\uc774\ub4dc](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/Nts.md)     | [\uacf5\uacf5\ub370\uc774\ud130\ud3ec\ud138](https://www.data.go.kr/)                        | \ud544\uc694         |\n| [\ud55c\uad6d\ubd80\ub3d9\uc0b0\uc6d0 \ubd80\ub3d9\uc0b0 \uc885\ud569 \uc815\ubcf4 \uc0ac\uc6a9 \uac00\uc774\ub4dc](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/portal/Reb.md)            | [\uacf5\uacf5\ub370\uc774\ud130\ud3ec\ud138](https://www.data.go.kr/)                        | \ud544\uc694         |\n| [KOSIS \ud1b5\uacc4\uc815\ubcf4 \uc0ac\uc6a9 \uac00\uc774\ub4dc](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/kosis/Kosis.md)                 | [\uad6d\uac00\ud1b5\uacc4\ud3ec\ud138(KOSIS)](https://kosis.kr/openapi/index/index.jsp) | \ud544\uc694         |\n| [ECOS \ud55c\uad6d\uc740\ud589 \uacbd\uc81c\ud1b5\uacc4 \uc11c\ube44\uc2a4 \uc0ac\uc6a9 \uac00\uc774\ub4dc](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/ecos/ecos.md)                 | [\ud55c\uad6d\uc740\ud589 \uacbd\uc81c\ud1b5\uacc4\uc2dc\uc2a4\ud15c(ECOS)](https://ecos.bok.or.kr/api/) | \ud544\uc694         |\n| [\uc11c\uc6b8\uc2dc \uad50\ud1b5 \uad00\ub828 \ub370\uc774\ud130 \uc0ac\uc6a9 \uac00\uc774\ub4dc](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/seoul/Transportation.md)     | [\uc11c\uc6b8 \uc5f4\ub9b0\ub370\uc774\ud130 \uad11\uc7a5](https://data.seoul.go.kr/)                  | \ud544\uc694         |\n| [\uad6d\uac00\uacf5\uac04\uc815\ubcf4 \uc0ac\uc6a9 \uac00\uc774\ub4dc](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/vworld/VworldData.md)               | [\uacf5\uac04\uc815\ubcf4 \uc624\ud508\ud50c\ub7ab\ud3fc(V-Word)](https://www.vworld.kr/v4po_main.do)  | \ud544\uc694         |\n| [KB\ud1b5\uacc4 \uc8fc\ud0dd\uac00\uaca9\ub3d9\ud5a5\uc870\uc0ac \uc0ac\uc6a9 \uac00\uc774\ub4dc](https://github.com/WooilJeong/PublicDataReader/blob/main/assets/docs/kbland/Kbland.md)            | [KB\ubd80\ub3d9\uc0b0](https://data.kbland.kr/)                          | \ubd88\ud544\uc694         |\n\n</div>\n\n<br>\n\n\n## \ud65c\uc6a9 \uc0ac\ub840 \ubaa8\uc74c\n\n\uc544\ub798\ub294 PublicDataReader \ud65c\uc6a9 \uc0ac\ub840 \ubaa8\uc74c\uc785\ub2c8\ub2e4. \uc774\ub4e4 \uc0ac\ub840\ub97c \ud1b5\ud574, \uc2e4\uc81c \uc0ac\uc6a9\uc790\ub4e4\uc774 \uc5b4\ub5bb\uac8c \uc774 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ub2e4\uc591\ud558\uace0 \ucc3d\uc758\uc801\uc778 \ubc29\uc2dd\uc73c\ub85c \ud65c\uc6a9\ud558\uace0 \uc788\ub294\uc9c0 \uc54c\uc544\ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4. PublicDataReader\ub97c \uc0ac\uc6a9\ud55c \uc7ac\ubbf8\uc788\ub294 \ud504\ub85c\uc81d\ud2b8\uac00 \uc788\ub2e4\uba74 \uc790\uc720\ub86d\uac8c PR\uc744 \ubcf4\ub0b4\uc8fc\uc138\uc694.\n\n<div align=\"center\">\n\n\n| \uc81c\ubaa9                                              | \ucd9c\ucc98       |\n|:-------------------------------------------------|:----------|\n| [\uacf5\uacf5\ub370\uc774\ud130\ub97c \ud65c\uc6a9\ud55c \uc6b0\ub9ac \ub3d9\ub124 \uc544\ud30c\ud2b8 \uc2e4\uac70\ub798\uac00 \ubd84\uc11d](https://www.youtube.com/watch?v=31EX6TLao5g&t=852s) | [\ub098\ub3c4\ucf54\ub529 \uc720\ud29c\ube0c \ucc44\ub110](https://www.youtube.com/@nadocoding) |\n| [Python \uad6d\uc138\uccad\ud648\ud0dd\uc2a4 \uc0ac\uc5c5\uc790\ub4f1\ub85d\uc0c1\ud0dc \uc870\ud68c \ubc29\ubc95](https://blog.naver.com/devradio/223419187567) | [\uc2ec\uc2ec\ud55c\uc138\uc0c1](https://blog.naver.com/devradio) |\n| [[\ubd80\ub3d9\uc0b0 \ub370\uc774\ud130 \uc218\uc9d1] KOSIS \uc2dc\uad70\uad6c\ubcc4 \ubbf8\ubd84\uc591 \ud604\ud669 \ubc0f \uc900\uacf5\ud6c4 \ubbf8\ubd84\uc591 \ub370\uc774\ud130 \uc870\ud68c(\ud30c\uc774\uc36c)](https://growing-datascientist.tistory.com/136) | [\ub808\ub514\ucf54\uc758 \uc778\uc0ac\uc774\ud2b8\ucc3d\uace0](https://growing-datascientist.tistory.com/) |\n| [[\ubd80\ub3d9\uc0b0 \ub370\uc774\ud130 \uc218\uc9d1] KOSIS \uc2dc\uad70\uad6c\ubcc4 \uc8fc\ud0dd \uac74\uc124 \ucc29\uacf5 \uc2e4\uc801(\ud30c\uc774\uc36c)](https://growing-datascientist.tistory.com/137) | [\ub808\ub514\ucf54\uc758 \uc778\uc0ac\uc774\ud2b8\ucc3d\uace0](https://growing-datascientist.tistory.com/) |\n| [[\ubd80\ub3d9\uc0b0 \ub370\uc774\ud130 \uc218\uc9d1] \uad6d\uac00\ud1b5\uacc4\ud3ec\ud138/\ubd80\ub3d9\uc0b0\uc6d0 \uc544\ud30c\ud2b8 \uc804\uc138\uac00\uc728 \uc0c1\ud558\ub77d\uc694\uc778 \ud655\uc778(\ud30c\uc774\uc36c)](https://growing-datascientist.tistory.com/138) | [\ub808\ub514\ucf54\uc758 \uc778\uc0ac\uc774\ud2b8\ucc3d\uace0](https://growing-datascientist.tistory.com/) |\n| [[\ubd80\ub3d9\uc0b0 \ub370\uc774\ud130 \uc218\uc9d1] \uad6d\uac00\ud1b5\uacc4\ud3ec\ud138 \uc9c0\uc5ed\ubcc4 \uc804\uc6d4\uc138\uc804\ud658\uc728(\ud30c\uc774\uc36c API) \uae08\ub9ac\uc640\uc758 \uad00\uacc4](https://growing-datascientist.tistory.com/139) | [\ub808\ub514\ucf54\uc758 \uc778\uc0ac\uc774\ud2b8\ucc3d\uace0](https://growing-datascientist.tistory.com/) |\n| [\ud30c\uc774\uc36c\uc73c\ub85c \ubd80\ub3d9\uc0b0 \ub9e4\ub9e4\uac00 \uc870\ud68c\uae30 \ub9cc\ub4e4\uae30 - 1. \ub9cc\ub4e4\uae30 \uc2dc\uc791\ud558\uae30, API \ud0a4 \ubc1c\uae09\ubc1b\uae30](https://drop-by-drop-fills-the-tub.tistory.com/65) | [\ubc11\ube60\uc9c4 \ub3c5\uc5d0 \ud2f0\ub04c\ubd93\uae30](https://drop-by-drop-fills-the-tub.tistory.com/) |\n| [\ud30c\uc774\uc36c\uc73c\ub85c \ubd80\ub3d9\uc0b0 \ub9e4\ub9e4\uac00 \uc870\ud68c\uae30 \ub9cc\ub4e4\uae30 - 2. \uc9c0\uc5ed \uad6c\ubd84\ubcc4 \ucf54\ub4dc \uba3c\uc800 \uc900\ube44\ud558\uae30](https://drop-by-drop-fills-the-tub.tistory.com/66) | [\ubc11\ube60\uc9c4 \ub3c5\uc5d0 \ud2f0\ub04c\ubd93\uae30](https://drop-by-drop-fills-the-tub.tistory.com/) |\n| [\ud30c\uc774\uc36c\uc73c\ub85c \ubd80\ub3d9\uc0b0 \ub9e4\ub9e4\uac00 \uc870\ud68c\uae30 \ub9cc\ub4e4\uae30 - 3. \uc9c0\uc5ed\ubcc4 \ucf54\ub4dc \ucee8\ubc84\ud130 \ub9cc\ub4e4\uae30](https://drop-by-drop-fills-the-tub.tistory.com/67) | [\ubc11\ube60\uc9c4 \ub3c5\uc5d0 \ud2f0\ub04c\ubd93\uae30](https://drop-by-drop-fills-the-tub.tistory.com/) |\n| [\ud30c\uc774\uc36c\uc73c\ub85c \ubd80\ub3d9\uc0b0 \ub9e4\ub9e4\uac00 \uc870\ud68c\uae30 \ub9cc\ub4e4\uae30 - 5. \uc11c\uc6b8 \uc774\uc678\uc758 \uc9c0\uc5ed \ub9e4\ub9e4\uac00\ub97c \uc870\ud68c\ud558\ub294 \uba54\uc18c\ub4dc \ub9cc\ub4e4\uae30](https://drop-by-drop-fills-the-tub.tistory.com/69) | [\ubc11\ube60\uc9c4 \ub3c5\uc5d0 \ud2f0\ub04c\ubd93\uae30](https://drop-by-drop-fills-the-tub.tistory.com/) |\n| [\ud30c\uc774\uc36c\uc73c\ub85c \ubd80\ub3d9\uc0b0 \ub9e4\ub9e4\uac00 \uc870\ud68c\uae30 \ub9cc\ub4e4\uae30 - 6. \uc870\uac74 \ud544\ud130\uc640 \uc5d1\uc140\ub85c \ub0b4\ubcf4\ub0b4\uae30 \ub9cc\ub4e4\uc5b4\ubcf4\uae30](https://drop-by-drop-fills-the-tub.tistory.com/70) | [\ubc11\ube60\uc9c4 \ub3c5\uc5d0 \ud2f0\ub04c\ubd93\uae30](https://drop-by-drop-fills-the-tub.tistory.com/) |\n| [ECOS api\uc640 PublicDataReader \uc0ac\uc6a9\ud574 \uacbd\uc81c \ub370\uc774\ud130 \uac00\uc838\uc624\uae30](https://blog.naver.com/won19600/223361269999) | [\uacbd\uc758\uc120\ud1b5\ud559\uc911](https://blog.naver.com/won19600) |\n| [KOSPI \uc9c0\uc218\uc640 \uc7a5\ub2e8\uae30 \uae08\ub9ac\ucc28 \uac04 \uc0c1\uad00\uacc4\uc218 \ubd84\uc11d\ud558\uae30](https://blog.naver.com/won19600/223369431187) | [\uacbd\uc758\uc120\ud1b5\ud559\uc911](https://blog.naver.com/won19600) |\n| [Python\uc73c\ub85c \ubd80\ub3d9\uc0b0 \uc790\ub8cc \ud06c\ub864\ub9c1(1)_\uc544\ud30c\ud2b8\ub2e8\uc9c0\ubcc4 \ub9e4\ubb3c \uc870\ud68c](https://blog.naver.com/neo_in_matrix/223080501154) | [\uc774\uac83 \uc800\uac83 \ub2e5\uce58\ub294 \ub300\ub85c](https://blog.naver.com/neo_in_matrix) |\n| [Python\uc73c\ub85c \ubd80\ub3d9\uc0b0 \uc790\ub8cc \ud06c\ub864\ub9c1(2)_\uc544\ud30c\ud2b8\ub2e8\uc9c0\ubcc4 \uc815\ubcf4 \uc870\ud68c](https://blog.naver.com/neo_in_matrix/223082116325) | [\uc774\uac83 \uc800\uac83 \ub2e5\uce58\ub294 \ub300\ub85c](https://blog.naver.com/neo_in_matrix) |\n| [Python\uc73c\ub85c \ubd80\ub3d9\uc0b0 \uc790\ub8cc \ud06c\ub864\ub9c1(3)_\ubc95\uc815\ub3d9\ub0b4 \uc544\ud30c\ud2b8\ub2e8\uc9c0 \uace0\uc720 \ucf54\ub4dc \uc870\ud68c](https://blog.naver.com/neo_in_matrix/223082171378) | [\uc774\uac83 \uc800\uac83 \ub2e5\uce58\ub294 \ub300\ub85c](https://blog.naver.com/neo_in_matrix) |\n| [Python\uc73c\ub85c \ubd80\ub3d9\uc0b0 \uc790\ub8cc \ud06c\ub864\ub9c1(4)_\uacf5\uacf5\ub370\uc774\ud130 & PublicDataReader \ubaa8\ub4c8\uc744 \uc774\uc6a9\ud55c \uc544\ud30c\ud2b8 \uc2e4\uac70\ub798\uac00 \uc870\ud68c](https://blog.naver.com/neo_in_matrix/223082470340) | [\uc774\uac83 \uc800\uac83 \ub2e5\uce58\ub294 \ub300\ub85c](https://blog.naver.com/neo_in_matrix) |\n| [Python\uc73c\ub85c \ubd80\ub3d9\uc0b0 \uc790\ub8cc \ud06c\ub864\ub9c1(5)_\ubc95\uc815\ub3d9\ucf54\ub4dc Requests\ub85c \uc5bb\uae30](https://blog.naver.com/neo_in_matrix/223086804052) | [\uc774\uac83 \uc800\uac83 \ub2e5\uce58\ub294 \ub300\ub85c](https://blog.naver.com/neo_in_matrix) |\n| [\uc6a9\uc778 \uc218\uc9c0 \uc544\ud30c\ud2b8 \uc2e4\uac70\ub798\uac00 \uc870\ud68c\ud558\uae30(feat. PublicDataReader)](https://blog.naver.com/yhhoegwan/223085305300) | [\uc601\ud76c\ud68c\uad00](https://blog.naver.com/yhhoegwan) |\n| [[Python] PublicDataReader \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud55c FRED \ub370\uc774\ud130 \uc218\uc9d1](https://unfinishedgod.netlify.app/2023/07/26/python-publicdatareader-fred/) | [\ubbf8\uc644\uc131\uc758\uc2e0](https://unfinishedgod.netlify.app/) |\n| [Django_\uc790\uc0b0\uad00\ub9ac Web Program Project_01](https://akym00.tistory.com/2) | [Asset_Web_Program](https://akym00.tistory.com/) |\n| [Django_\uc790\uc0b0\uad00\ub9ac W_P_Project_02..[\uc544\ud30c\ud2b8 \uc2dc\uc138 \uc870\ud68c]](https://akym00.tistory.com/3) | [Asset_Web_Program](https://akym00.tistory.com/) |\n| [[Python Data Analytics] OpenAPI\ub97c \ud65c\uc6a9\ud55c \ub370\uc774\ud130 \ud638\ucd9c&\uc801\uc7ac](https://data-is-power.tistory.com/217) | [\ub370\uc774\ud130\ub85c \ubcf4\ub294 \uc138\uc0c1](https://data-is-power.tistory.com/) |\n| [\ubd80\ub3d9\uc0b0 \uc2e4\uac70\ub798\uac00 \uc870\ud68c\ud558\uae30](https://wooiljeong.github.io/python/public_data_reader_01/) | [\uc815\uc6b0\uc77c \ube14\ub85c\uadf8](https://wooiljeong.github.io) |\n| [\uac74\ucd95\ubb3c\ub300\uc7a5 \ub370\uc774\ud130 \uc870\ud68c\ud558\uae30](https://wooiljeong.github.io/python/public_data_reader_03/) | [\uc815\uc6b0\uc77c \ube14\ub85c\uadf8](https://wooiljeong.github.io) |\n| [\uac74\ucd95\uc778\ud5c8\uac00 \ub370\uc774\ud130 \uc870\ud68c\ud558\uae30](https://wooiljeong.github.io/python/pdr-building-license/) | [\uc815\uc6b0\uc77c \ube14\ub85c\uadf8](https://wooiljeong.github.io) |\n| [\uc8fc\ud0dd\uc778\ud5c8\uac00 \ub370\uc774\ud130 \uc870\ud68c\ud558\uae30](https://wooiljeong.github.io/python/pdr-housing-license/) | [\uc815\uc6b0\uc77c \ube14\ub85c\uadf8](https://wooiljeong.github.io) |\n| [\ud1a0\uc9c0\ub300\uc7a5 \ubc0f \uc784\uc57c\ub300\uc7a5 \uc870\ud68c\ud558\uae30](https://wooiljeong.github.io/python/pdr-land-forest-ledger/) | [\uc815\uc6b0\uc77c \ube14\ub85c\uadf8](https://wooiljeong.github.io) |\n| [\ud1a0\uc9c0\uc18c\uc720\uc815\ubcf4 \uc870\ud68c\ud558\uae30](https://wooiljeong.github.io/python/pdr-land-ownership/) | [\uc815\uc6b0\uc77c \ube14\ub85c\uadf8](https://wooiljeong.github.io) |\n| [\uc0c1\uac00\uc5c5\uc18c \ub370\uc774\ud130 \uc870\ud68c\ud558\uae30](https://wooiljeong.github.io/python/public_data_reader_02/) | [\uc815\uc6b0\uc77c \ube14\ub85c\uadf8](https://wooiljeong.github.io) |\n| [\ud55c\uad6d\uc790\uc0b0\uad00\ub9ac\uacf5\uc0ac \ucea0\ucf54 \uacf5\ub9e4\ubb3c\uac74 \uc870\ud68c\ud558\uae30](https://wooiljeong.github.io/python/pdr-kamco/) | [\uc815\uc6b0\uc77c \ube14\ub85c\uadf8](https://wooiljeong.github.io) |\n| [\uc0ac\uc5c5\uc790\ub4f1\ub85d\uc815\ubcf4 \uc9c4\uc704\ud655\uc778 \ubc0f \uc0c1\ud0dc\uc870\ud68c\ud558\uae30](https://wooiljeong.github.io/python/pdr-nts/) | [\uc815\uc6b0\uc77c \ube14\ub85c\uadf8](https://wooiljeong.github.io) |\n| [Python\uc73c\ub85c KOSIS \ub370\uc774\ud130 \uc870\ud68c\ud558\uae30](https://wooiljeong.github.io/python/pdr-kosis/) | [\uc815\uc6b0\uc77c \ube14\ub85c\uadf8](https://wooiljeong.github.io) |\n| [\uc8fc\ubbfc\ub4f1\ub85d\uc778\uad6c \ub370\uc774\ud130 \uc870\ud68c\ud558\uae30](https://wooiljeong.github.io/python/pdr-kosis-ex1/) | [\uc815\uc6b0\uc77c \ube14\ub85c\uadf8](https://wooiljeong.github.io) |\n| [\ubbf8\ubd84\uc591\uc8fc\ud0dd\ud604\ud669 \ub370\uc774\ud130 \uc870\ud68c\ud558\uae30](https://wooiljeong.github.io/python/pdr-kosis-ex2/) | [\uc815\uc6b0\uc77c \ube14\ub85c\uadf8](https://wooiljeong.github.io) |\n| [ECOS \ud55c\uad6d\uc740\ud589 \uacbd\uc81c\ud1b5\uacc4 \uc870\ud68c\ud558\uae30](https://wooiljeong.github.io/python/pdr-ecos/) | [\uc815\uc6b0\uc77c \ube14\ub85c\uadf8](https://wooiljeong.github.io) |\n| [KB\ubd80\ub3d9\uc0b0 \uc8fc\ud0dd\uac00\uaca9\ub3d9\ud5a5\uc870\uc0ac \ub370\uc774\ud130 \uc870\ud68c\ud558\uae30](https://wooiljeong.github.io/python/pdr-kbland/) | [\uc815\uc6b0\uc77c \ube14\ub85c\uadf8](https://wooiljeong.github.io) |\n| [\ubc95\uc815\ub3d9\ucf54\ub4dc\uc640 \ud589\uc815\ub3d9\ucf54\ub4dc \uc870\ud68c\ud558\uae30](https://wooiljeong.github.io/python/pdr-code/) | [\uc815\uc6b0\uc77c \ube14\ub85c\uadf8](https://wooiljeong.github.io) |\n\n</div>\n\n\n<br>\n\n## \uad6c\uae00 \ucf54\ub7a9(Google Colab)\n\n- [Colab \ubd80\ub3d9\uc0b0 \uc2e4\uac70\ub798\uac00 \uc870\ud68c \uc2e4\uc2b5](https://colab.research.google.com/drive/12SGCX4dwQfOwK-nIlG8jUOGSG80xE_o1?pli=1)\n- [Colab \uac74\ucd95\ubb3c\ub300\uc7a5 \uc815\ubcf4 \uc870\ud68c \uc2e4\uc2b5](https://colab.research.google.com/drive/1g_vwaqrhyZ_HAifxrKd_AFR_8U29elGW)\n- [Colab \uc18c\uc0c1\uacf5\uc778 \uc0c1\uac00\uc5c5\uc18c \uc815\ubcf4 \uc870\ud68c \uc2e4\uc2b5](https://colab.research.google.com/drive/1wQZcJZfwfl_5y_NK5vbz__95gRt0xwrb)\n\n<br>\n\n## \uc0ac\uc6a9 \uad00\ub828 \ubb38\uc758\n\n- **\uce74\uce74\uc624\ud1a1 \uc624\ud508\ucc44\ud305\ubc29**: [![\uc624\ud508\ucc44\ud305](https://img.shields.io/badge/\uc624\ud508\ucc44\ud305-PublicDataReader_\uc0ac\uc6a9\uc790\ubaa8\uc784-yellow?logo=KakaoTalk)](https://open.kakao.com/o/gbt2Pl2d)\n- **\uc774\uba54\uc77c**: wooil@kakao.com\n\n<br>\n\n## \uae30\uc5ec\uc790\n\n\n<a href=\"https://github.com/wooiljeong/PublicDataReader/graphs/contributors\">\n  <img src=\"https://contrib.rocks/image?repo=wooiljeong/PublicDataReader\" />\n</a>\n\n<br>\n\n\n<div align=center>\n\n<!-- [![Hits](https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2FWooilJeong%2FPublicDataReader&count_bg=%2379C83D&title_bg=%23555555&icon=github.svg&icon_color=%23FFFFFF&title=hits&edge_flat=false)](https://hits.seeyoufarm.com) -->\n\n</div>\n",
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