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.
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
1. 기본 정보
출처 | 질병관리청 |
날짜 | 사진과 동일 |
저작자 | 사용자:iseoulu |
저작권 | CC-0 |
기타 | 기타 정보가 있으면 삽입해 주세요. |
의견이나 질문 있으신 분 사용자:iseoulu에 사용자 토론 남겨주세요. 특히 디자인 관련 의견은 적극적으로 반영하겠습니다. [1]
인구 51829023 -> 51349116 변경 (2020년 12월 기준으로)
데이터는 질병관리청에서 전일 0시 기준으로 공개된 자료를 매일 9시 35분에 공공데이터활용센터에서 갱신하여 업로드하는 것으로, 해당 공공기관의 업무 처리에 따라 데이터에 오류가 있을 수 있습니다. 자세한 사항은 해당 데이터 제공 홈페이지에서 "오류 신고 및 담당자 문의"로 문의 바랍니다.
7월 20일자 데이터 관련하여 Raw Data 공개합니다.
- Raw data
======== RESTART: C:\Users\XXXXXX(가림)\Pictures\COVID-VACCINE-GRAPH-GEN.py ======== 2021-07-21 12:50:23.763332 <attribute 'hour' of 'datetime.datetime' objects> 12 144 len(DataIn.iloc[::]) : 145 Max : 20000000.0 Traceback (most recent call last): File "C:\Users\XXXXXX(가림)\Pictures\COVID-VACCINE-GRAPH-GEN.py", line 420, in <module> GenPlot(df.copy()) File "C:\Users\XXXXXX(가림)\Pictures\COVID-VACCINE-GRAPH-GEN.py", line 253, in GenPlot choose_fill(ax, DataIn, days, TotalDose=False) File "C:\Users\XXXXXX(가림)\Pictures\COVID-VACCINE-GRAPH-GEN.py", line 166, in choose_fill ax.fill_between(days, DataIn['totalFirstCnt'].astype(int).tolist(), color=fColor, label="1차 접종자") File "C:\Users\XXXXXX(가림)\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\__init__.py", line 1361, in inner return func(ax, *map(sanitize_sequence, args), **kwargs) File "C:\Users\XXXXXX(가림)\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\axes\_axes.py", line 5386, in fill_between return self._fill_between_x_or_y( File "C:\Users\XXXXXX(가림)\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\axes\_axes.py", line 5308, in _fill_between_x_or_y where = where & ~functools.reduce( ValueError: operands could not be broadcast together with shapes (144,) (145,) >>> ======== RESTART: C:\Users\XXXXXX(가림)\Pictures\COVID-VACCINE-GRAPH-GEN.py ======== [{'accumulatedFirstCnt': 449535, 'accumulatedSecondCnt': 0, 'baseDate': '2021-03-11 00:00:00', 'firstCnt': 51100, 'secondCnt': 0, 'sido': '전국', 'totalFirstCnt': 500635, 'totalSecondCnt': 0}, {'accumulatedFirstCnt': 503750, 'accumulatedSecondCnt': 0, 'baseDate': '2021-03-12 00:00:00', 'firstCnt': 42527, 'secondCnt': 0, 'sido': '전국', 'totalFirstCnt': 546277, 'totalSecondCnt': 0}, {'accumulatedFirstCnt': 547974, 'accumulatedSecondCnt': 0, 'baseDate': '2021-03-13 00:00:00', 'firstCnt': 35684, 'secondCnt': 0, 'sido': '전국', 'totalFirstCnt': 583658, 'totalSecondCnt': 0}, {'accumulatedFirstCnt': 584397, 'accumulatedSecondCnt': 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... 0.098176 125 15336784 ... 0.100421 126 15341363 ... 0.102665 127 15346047 ... 0.103604 128 15347214 ... 0.103636 129 15347603 ... 0.104544 130 15402244 ... 0.106395 131 15440955 ... 0.108144 132 15476802 ... 0.110125 133 15515470 ... 0.112991 134 15573684 ... 0.114346 135 15586467 ... 0.114382 136 15618505 ... 0.117984 137 15716089 ... 0.120425 138 15810029 ... 0.123210 139 15914457 ... 0.126723 140 16031653 ... 0.127829 141 16054806 ... 0.127859 142 16133418 ... 0.128791 143 15587120 ... 0.115686 144 16292908 ... 0.130184 [145 rows x 8 columns] 2021-07-21 12:52:39.029435 <attribute 'hour' of 'datetime.datetime' objects> 12 0 19662 1 1217 2 765 3 1442 4 64342 5 66993 6 71432 7 70527 8 18276 9 2209 10 66481 11 66189 12 51100 13 42527 14 35684 15 3487 16 1074 17 11922 18 18283 19 18733 20 17501 21 15132 22 939 23 1 24 2704 25 20151 26 28222 27 32466 28 22845 29 1056 30 11 31 26538 32 28407 33 22643 34 36125 35 38058 36 8229 37 629 38 35970 39 37533 40 35860 41 36599 42 33404 43 8710 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Falling back to DejaVu Sans. >>>
==# 기타 #==
To-do : 타임라인 구현
그래프 생성 코드 : https://github.com/Hypeouseaus/Namu-graph-generator/
막코딩의 한계가 보인다... 점점 복잡해지네
데이터 출처 : http://m.bosa.co.kr/news/articleView.html?idxno=2147974
참고 자료:
https://www.javaer101.com/en/article/19770125.html
https://stackoverflow.com/questions/44518170/how-to-draw-a-bar-timeline-with-matplotlib
https://matplotlib.org/stable/gallery/lines_bars_and_markers/broken_barh.html
https://matplotlib.org/stable/gallery/lines_bars_and_markers/timeline.html
https://cm.asiae.co.kr/article/2021042610521646515
https://stackoverflow.com/questions/44518170/how-to-draw-a-bar-timeline-with-matplotlib
https://matplotlib.org/stable/gallery/lines_bars_and_markers/broken_barh.html
https://matplotlib.org/stable/gallery/lines_bars_and_markers/timeline.html
https://cm.asiae.co.kr/article/2021042610521646515
[1] 추후 추가할(지금은 없지만) 타임라인도 추가되면 의견 적극적으로 반영하겠습니다.