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【推荐】新冠肺炎的最新数据集和可视化和预测分析(附代码)

發(fā)布時(shí)間:2025/3/8 编程问答 43 豆豆
生活随笔 收集整理的這篇文章主要介紹了 【推荐】新冠肺炎的最新数据集和可视化和预测分析(附代码) 小編覺(jué)得挺不錯(cuò)的,現(xiàn)在分享給大家,幫大家做個(gè)參考.

新冠肺炎現(xiàn)在情況怎么樣了?推薦Github標(biāo)星24.7K+的新冠肺炎公開(kāi)數(shù)據(jù)集,利用這個(gè)數(shù)據(jù)集,可以用代碼進(jìn)行簡(jiǎn)單地可視化及預(yù)測(cè)。

推薦新冠肺炎的公開(kāi)數(shù)據(jù)集:

https://github.com/CSSEGISandData/COVID-19

數(shù)據(jù)可視化:

https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

數(shù)據(jù)集能做什么?

這個(gè)數(shù)據(jù)集可以做以下分析:

  • 全球趨勢(shì)

  • 國(guó)家(地區(qū))增長(zhǎng)

  • 省份情況

  • 美國(guó)

  • 歐洲

  • 亞洲

  • 什么時(shí)候會(huì)收斂?進(jìn)行預(yù)測(cè)

簡(jiǎn)單演示

新冠肺炎感染人數(shù)可視化效果

數(shù)據(jù)來(lái)源

數(shù)據(jù)來(lái)源:

  • World Health Organization (WHO): https://www.who.int/

  • DXY.cn. Pneumonia. 2020. http://3g.dxy.cn/newh5/view/pneumonia. ?

  • BNO News: https://bnonews.com/index.php/2020/02/the-latest-coronavirus-cases/ ?

  • National Health Commission of the People’s Republic of China (NHC):
    http://www.nhc.gov.cn/xcs/yqtb/list_gzbd.shtml

  • China CDC (CCDC): http://weekly.chinacdc.cn/news/TrackingtheEpidemic.htm

  • Hong Kong Department of Health: https://www.chp.gov.hk/en/features/102465.html

  • Macau Government: https://www.ssm.gov.mo/portal/

  • Taiwan CDC: https://sites.google.com/cdc.gov.tw/2019ncov/taiwan?authuser=0

  • US CDC: https://www.cdc.gov/coronavirus/2019-ncov/index.html

  • Government of Canada: https://www.canada.ca/en/public-health/services/diseases/coronavirus.html

  • Australia Government Department of Health: https://www.health.gov.au/news/coronavirus-update-at-a-glance

  • European Centre for Disease Prevention and Control (ECDC): https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases

  • Ministry of Health Singapore (MOH): https://www.moh.gov.sg/covid-19

  • Italy Ministry of Health: http://www.salute.gov.it/nuovocoronavirus

  • 1Point3Arces: https://coronavirus.1point3acres.com/en

  • WorldoMeters: https://www.worldometers.info/coronavirus/

  • COVID Tracking Project: https://covidtracking.com/data. (US Testing and Hospitalization Data. We use the maximum reported value from "Currently" and "Cumulative" Hospitalized for our hospitalization number reported for each state.)

  • French Government: https://dashboard.covid19.data.gouv.fr/

  • COVID Live (Australia): https://www.covidlive.com.au/

  • Washington State Department of Health: https://www.doh.wa.gov/emergencies/coronavirus

  • Maryland Department of Health: https://coronavirus.maryland.gov/

  • New York State Department of Health: https://health.data.ny.gov/Health/New-York-State-Statewide-COVID-19-Testing/xdss-u53e/data

  • NYC Department of Health and Mental Hygiene: https://www1.nyc.gov/site/doh/covid/covid-19-data.page and https://github.com/nychealth/coronavirus-data

  • Florida Department of Health Dashboard: https://services1.arcgis.com/CY1LXxl9zlJeBuRZ/arcgis/rest/services/Florida_COVID19_Cases/FeatureServer/0 and https://fdoh.maps.arcgis.com/apps/opsdashboard/index.html#/8d0de33f260d444c852a615dc7837c86

總結(jié)

?

本文推薦新冠肺炎的公開(kāi)數(shù)據(jù)集,利用這個(gè)數(shù)據(jù)集,可以用代碼進(jìn)行簡(jiǎn)單地可視化及預(yù)測(cè)。

數(shù)據(jù)集地址:

https://github.com/CSSEGISandData/COVID-19

數(shù)據(jù)預(yù)測(cè)代碼:

https://www.kaggle.com/corochann/covid-19-current-situation-on-october?scriptVersionId=45297457

(數(shù)據(jù)請(qǐng)從數(shù)據(jù)集地址下載最新)

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