최근 수정 시각 : 2021-09-18 16:40:48

파일:대한민국 내 COVID-19 백신 접종 현황 (09.18 기준).png

파일:CC0 버튼.svg 이 파일은 크리에이티브 커먼즈 CC0 1.0 보편적 퍼블릭 도메인 기증에 따라 이용할 수 있습니다.

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 정보2. 이미지 설명

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 고정
감염자만 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.

4월 1일을 4차 유행의 시발점으로, 7월 7일을 4차 대유행의 기점으로 잡음.

2020년 11월 24일부터 2021년 1월 20일까지를 3차 대유행 기간으로, 2021년 6월 25일부터를 4차 대유행 기간으로 봄.


파일:대한민국 내 COVID-19 백신 접종 현황 (08.17 기준).png
  • 굉장히 수상함
  • 결국 8월 16일자 데이터를 8월 15일과 8월 17일 데이터의 평균으로 해서 데이터를 수정하기는 했으나...
==# 기타 #==
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.do
일자 확진자 격리해제 확진자/d (강조용)
stateDt decideCnt clearCnt dConf Event Eventline
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1 2020-01-21 1 0 0 0.0
2 2020-01-22 1 0 0 0.0
3 2020-01-23 1 0 0 0.0
4 2020-01-24 2 0 1 0.0
5 2020-01-25 2 0 0 0.0
6 2020-01-26 3 0 1 0.0
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8 2020-01-28 4 0 0 0.0
9 2020-01-29 4 0 0 0.0
10 2020-01-30 6 0 2 0.0
11 2020-01-31 11 0 5 0.0
12 2020-02-01 12 0 1 0.0
13 2020-02-02 15 0 3 0.0
14 2020-02-03 15 0 0 0.0
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17 2020-02-06 23 2 4 0.0
18 2020-02-07 24 2 1 0.0
19 2020-02-08 24 2 0 0.0
20 2020-02-09 27 3 3 0.0
21 2020-02-10 27 4 0 0.0
22 2020-02-11 28 4 1 0.0
23 2020-02-12 28 7 0 0.0
24 2020-02-13 28 7 0 0.0
25 2020-02-14 28 7 0 0.0
26 2020-02-15 28 9 0 0.0
27 2020-02-16 29 9 1 0.0
28 2020-02-17 30 10 1 0.0
29 2020-02-18 31 12 1 1.0 신천지 집단감염
30 2020-02-19 46 16 15 0.0
31 2020-02-20 104 16 58 0.0
32 2020-02-21 204 17 100 0.0
33 2020-02-22 433 17 229 0.0
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37 2020-02-26 1261 22 284 0.0
38 2020-02-27 1766 25 505 0.0
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44 2020-03-04 5328 41 1116 0.0
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206 2020-08-13 14770 13817 56 -1.0 수도권 교회 집단감염
207 2020-08-14 14873 13863 103 0.0
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