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이 저작물의 저작권자는 법이 정한 범위 내에서 저작인접권을 포함해 저작권법에 따라 전 세계적으로 해당 저작물에 대해 자신이 갖는 일체의 권리를 포기함으로써 저작물을 퍼블릭 도메인으로 양도하였습니다. 저작권자의 허락을 구하지 않아도 이 저작물을 상업적인 목적을 포함한 모든 목적으로 복사, 수정, 배포, 실연, 공중송신하실 수 있습니다.
1. 기본 정보
| 출처 | 질병관리청, https://www.data.go.kr/tcs/dss/selectApiDataDetailView.do?publicDataPk=15043376 |
| 날짜 | 2020/8/20 |
| 저작자 | 원작자 : crave, 수정 : iseoulu |
| 저작권 | 이미지의 저작권과 관련된 기타 정보를 삽입해 주세요. |
| 기타 | 원작자 데이터 소스 : https://drive.google.com/file/d/157iLiivEkGW7FfpaHTLH4iH-vmInG3P9/view?usp=sharing |
| 수정자 데이터 소스 : 질병관리본부, 의견 있을 시 사용자:iseoulu에 사용자 토론 남겨주세요. |
2020/09/20 질병관리청 승격
의견 있으신 분 사용자:iseoulu에 사용자 토론 남기세요[1]오픈API로 보건복지부 공공데이터활용지원센터에서 데이터를 받아오는 방식이라 공무원이 데이터를 잘못 넣으면 확진자가 오르락 내리락하는 일이 있습니다. 감안 부탁드리고 발견 시 해당 OpenAPI에 오류 신고 해주시고 사용자:iseoulu에 사용자 토론 남겨주시길 바랍니다.
[1] 특히 타임라인에 넣을 사건사고 관련 의견은 적극적으로 반영하겠습니다.
그래프 생성 코드 : https://github.com/Hypeouseaus/Namu-graph-generator/
질병관리본부 통계 기준 해당 날짜 16시에 발표된 수치를 기준으로 작성
2020-03-02 수정 => 질병관리본부 통계 발표 시간이 0시로 변경됨에 따라, 해당 날짜 0시에 발표된 수치를 기준으로 작성
Vive la Corée et vive la République!
2. 이미지 설명
서술 시점 고정감염자만 비교하게
가독성 개선
축 제목 추가, 출처 추가
오후부터 로그 스케일로
2/27 오후 수정 → 통계의 함정 우려 데이터 레이블 병기. 200과 2000의 스케일은 엄연히 다름.
3차 대유행 -> 자동화 필요?
4/20 -> k방역은 어디로...
4/22 -> 7일치 이동 평균선 추가, 훨씬 보기 좋음
수도권 교회 집단감염 사건 관련:
Q. 왜 '서울 사랑제일교회 집단감염'이 아닌가?
A. 서울사랑제일교회 집단감염(194명) 터진 날 용인 우리제일교회도 145명 집단감염 터짐. 그런 이유로 '수도권 교회 집단감염'으로 명칭 붙임.
Q. 왜 '서울 사랑제일교회 집단감염'이 아닌가?
A. 서울사랑제일교회 집단감염(194명) 터진 날 용인 우리제일교회도 145명 집단감염 터짐. 그런 이유로 '수도권 교회 집단감염'으로 명칭 붙임.
2020년 11월 24일부터 2021년 1월 20일까지를 3차 대유행 기간으로, 2021년 6월 25일부터를 4차 대유행 기간으로 봄.
- 굉장히 수상함
- 결국 8월 16일자 데이터를 8월 15일과 8월 17일 데이터의 평균으로 해서 데이터를 수정하기는 했으나...
최종적으로 나무위키 봇 연동해서 파일 업로드 / 항목 수정 자동화까지 (Namuwikibot)
http://pythonstudy.xyz/python/article/407-Matplotlib-%EC%B0%A8%ED%8A%B8-%ED%94%8C%EB%A1%AF-%EA%B7%B8%EB%A6%AC%EA%B8%B0
https://towardsdatascience.com/a-new-plot-theme-for-matplotlib-gadfly-2cffc745ff84
https://towardsdatascience.com/a-new-plot-theme-for-matplotlib-gadfly-2cffc745ff84
https://medium.com/swlh/data-visualization-with-python-matplotlib-16880d0d3a44
https://matplotlib.org/tutorials/introductory/customizing.html
http://tonysyu.github.io/raw_content/matplotlib-style-gallery/gallery.html
참고 링크
- RAW [ 펼치기 · 접기 ]
- 출처 : https://data.go.kr/data/15043376/openapi.do일자 확진자 격리해제 확진자/d (강조용)0 2020-01-20 1 0 0 0.0
stateDt decideCnt clearCnt dConf Event Eventline
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