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COVID-19/2019-nCoV time series infection data warehouse, the data source is Ding Xiang Yuan.
Recently, many college teachers and students contacted me, hoping to use these data for scientific research. However, not everyone is familiar with the use of APIs and the format of JSON, so here is the data warehouse to publish the latest data in CSV format, which can be easily processed and loaded by most software.
The data is obtained by COVID-19 Infection Data Realtime Crawler. The data will be published hourly.
Regional data (DXYArea.csv) only contains all the city-level data. Data from Hong Kong SAR, Macao SAR, Tai Wan and Tibet are province-level, and not city-level data available from DXY, so they are not in this file.
If needed, you can modify the
function to customize your own files.
Due to the instability of API,
this project will also push latest static JSONs into the
Data from JSON files are exactly the same as the data responded from the API.
Data customization is not accepted. If you have more requirements for data, please handle it on your own.
At present, some time series data in Zhejiang and Hubei are found containing noises. The possible reason is the manually processed data were recorded by mistake.
The crawler just crawl what it sees, do not deal with any noise data. Therefore, if you use the data for scientific research, please preprocess and clean the data properly.
In the meantime, I opened an issue for you to report the potential noise data. I will check and remove them periodically.
Wish you all the best.