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

• China
  COVID-19/2019-nCoV Infection Time Series Data Warehouse
  

• Global
  COVID-19 (coronavirus) by Our World in Data
  Open COVID-19 Dataset
  GIS for worldwide situation provide by JHU

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