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코로나-19 에 대한 확진/완치/사망 에 대한 국내, 해외 정보를 수집합니다. Data scrapes Covid-19 Confirmed/Cured/Deceases Cases.

License: GNU General Public License v3.0

Python 54.09% Jupyter Notebook 34.83% HTML 11.08%
covid-19 python crawler information-retrieval bs4-requests covid19 covid-data epidemic python3 data-scraped

covid19_stats's Introduction

COVID-19 Stats and Visualizations

코로나-19 에 대한 확진/완치/사망 에 대한 국내, 해외 정보를 수집합니다.
추가적으로 매일 데이터에 대한 시각적 자료 또한 간단하게 제공합니다.
Data scrapes Covid-19 Confirmed/Cured/Deceases Cases.
Additionally provides simple visualization of Today's data.

Contents

  • 그냥 Heroku가 뭔지 알아보려고 만들어본 웹
    • 여기서 업데이트 자동화 구현해보기(웹에서 자동으로 끌어와서 깃헙 푸쉬까지)
  • Time recording is based on UTC (+0900 for KST)
  • 자료 파일의 시간은 UTC 기준입니다.(UTC+0900가 한국기준시에용.)

Korea - Covid-19 Daily Statistics

  • covid_dat_kr_region

    • Returns regional status of Covid-19 in South Korea.
       [Increased # of patients compared to day before] | 
       [Total # of patients] | [Total # of Quarantine] | [Total # of Recovered] | [Total # of Deceased] |
       [Ratio of Incidence / 100k Population]
    
    • Or more simply just: 'increase' 'patient' 'quarantine' 'recovered' 'deceased' '/100k pop'

    • 코로나 바이러스의 지역적 한국 현황을 보여줘요.

       [전날 대비 환자 증가 수] | 
       [전체 환자 수] | [전체 격리인원 수] | [전체 완치자 수] | [전체 사망자 수] |
       [10만 인구 당 증가율]
    
    • 간단하게: 증가, 환자, 격리, 완치, 사망, /10만인구 당 비율
  • covid_dat_kr_total

    • Returns total status of Covid-19 in South Korea.
    • 코로나 바이러스의 전체적인 한국 현황을 보.
  • covid_dat_seoul

    • Returns Seoul's confirmed cases of Covid-19.
    • 서울 시의 확진자 현황을 보여줘요

World - Covid-19 Daily Statistics

  • new_covid_dat.csv
    • Stats of Covid19 in Countries world around.
    • 세계 나라들의 코로나 현황을 보여줘요

Built With / 사용된 도구

Authors

  • Sean Hong(홍성민)
    -학생이기 때문에 많이 부족합니다. 보완점을 가르쳐주시면 감사하겠습니다!
    -Any lacking parts in my code are welcome to any suggestions and criticism.

Contributors

Acknowledgments

Any problems please contact me at [email protected]

covid19_stats's People

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covid19_stats's Issues

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