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anuveyatsu 6b68769bf8 [data][xl]: add worldwide aggreated data by date. 4 years ago
.github/workflows [cron][xs]: run the action on a schedule every midnight GMT. 4 years ago
data [data][xl]: add worldwide aggreated data by date. 4 years ago
.gitignore [checkpoints][xs]: save data so it's easy to develop new flows. 4 years ago
README.md [docs][xs]: fix "effected" => "affected" - refs #12 4 years ago
datapackage.json [data][xl]: add worldwide aggreated data by date. 4 years ago
process.py [data][xl]: add worldwide aggreated data by date. 4 years ago
requirements.txt [setup][xs]: add requirements.txt 4 years ago

README.md

Novel Corona virus - COVID19

The new strain of Coronavirus has had a worldwide effect. It has affected people from different countries. The dataset provides, a time series data tracking the number of people affected by the virus, how many deaths has the virus caused and the number of reported people who have recovered.

Run the script

We use dataflows to process and normalize the data

pip install dataflows

Run the sript

python process.py

Data

Data is coming from https://github.com/CSSEGISandData/COVID-19 updated daily. We have normalized data a bit - unpivoted and transfered dates to be more machine readable.