COVID-19
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covid19-data
mirror of https://github.com/gmarxcc/covid-19
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zelima 65154d6bc9 [All]: Use dataflows to process and normilize data 4 years ago
README.md [All]: Use dataflows to process and normilize data 4 years ago
datapackage.json [All]: Use dataflows to process and normilize data 4 years ago
process.py [All]: Use dataflows to process and normilize data 4 years ago
time_series_19-covid-Confirmed.csv [All]: Use dataflows to process and normilize data 4 years ago
time_series_19-covid-Deaths.csv [All]: Use dataflows to process and normilize data 4 years ago
time_series_19-covid-Recovered.csv [All]: Use dataflows to process and normilize data 4 years ago

README.md

Novel Corona virus - COVID19

The new strain of Coronavirus has had a worldwide effect. It has effected people from different countries. The dataset provides, a time series data tracking the number of people effected 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://githab.com/CSSEGISandData/COVID-19 updated daily. We have normalized data a bit - unpivoted and transfered dates to be more machine readable.