项目作者： SherryJYC

项目描述：
COVID-19 data (China) and SARS data (China) with geo-information

高级语言：

项目主页： https://carto-lab.firebaseapp.com/

项目地址: git://github.com/SherryJYC/COVID19-Processed-Timeseries-Data.git

创建时间： 2020-06-13T12:14:38Z
项目社区：https://github.com/SherryJYC/COVID19-Processed-Timeseries-Data
开源协议：
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COVID-19 & SARS： Processed Timeseries Data （China）

已处理的新冠数据和非典数据

When using COVID-19 data and SARS data for time series and map visualization, data preprocessing took us a long time
Those processed files can be directly used for visualization, e.g upload to Flourish or display on Mapbox directly

Purpose

Provide processed COVID-19 data (China) and SARS data (China) with geo-information
Help produce a quick and rough visualiaztion, like time series chart or map with timeline
Help comparision between COVID-19 and SARS

Data Sources

COVID-19 data: DXYArea.csv from COVID-19/2019-nCoV Infection Time Series Data Warehouse

This data warehouse is based on DXY
SARS data: SARS Daily Report by NHC, China

Description of Data

COVID-19 data

number of confirmed, cured and dead cases for 375 areas/cities
time range: from Jan 24 to May 7 2020
additional fields: latitude, longitude
notice: missing data (dates are not continuous) are filled by the value of previous day.

SARS data

number of confirmed, cured and dead cases for 27 provinces
time range: from Mar 31 to Aug 16 2003
additional fields: latitude, longitude
notice: missing data (dates are not continuous) are filled by the value of previous day.

Other Sources about COVID-19

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