anuveyatsu 8eb6078b2e | 4 years ago | |
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.github/workflows | 4 years ago | |
.gitignore | 4 years ago | |
README.md | 4 years ago | |
datapackage.json | 4 years ago | |
process.py | 4 years ago | |
requirements.txt | 4 years ago | |
time-series-19-covid-combined.csv | 4 years ago |
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.
We use dataflows to process and normalize the data
pip install dataflows
Run the sript
python process.py
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.