This COVID-19 Dataset should be used for Data Sciene. Therefore the columns are the same for JHU and RKI data to load them with pandas.
Description of columns:
| State | Date | Confirmed | Deaths |
|---|---|---|---|
| Name of federal state (German Bundesland) | Date in %Y-%m-%d format | Numbers of confirmed cases | Numbers of deaths |
Description of columns:
Data: data/jhu/time_series_covid19_confirmed_deaths_recovered.csv
| City | State | Country | Date | Latitude | Longitude | Confirmed | Deaths | Recovered | Active | WHO Region |
|---|---|---|---|---|---|---|---|---|---|---|
| Name from City | Name of federal state | Name from Country | Date in %Y-%m-%d format | Latitude | Longitude | Numbers of confirmed cases | Numbers of deaths | Numbers of recovered | Active = Confirmed - Deaths - Recovered | WHO Region |
Data: data/jhu/time_series_covid19_grouped_day_country.csv
| Date | Country | Confirmed | Deaths | Recovered | Active | New cases | New deaths | New recovered | WHO Region |
|---|---|---|---|---|---|---|---|---|---|
| Date in %Y-%m-%d format | Name from Country | Numbers of confirmed cases | Numbers of deaths | Numbers of recovered | Active = Confirmed - Deaths - Recovered | New cases / Day | New deaths / Day | New recovered / Day | WHO Region |
Data: data/jhu/time_series_covid19_grouped_by_countries.csv
Columns:
Country
Confirmed
Deaths
Recovered
Active
New cases
New deaths
New recovered
Deaths / 100 Cases
Recovered / 100 Cases
Deaths / 100 Recovered
Confirmed last week
1 week change
1 week % increase
WHO Region
Data: data/jhu/time_series_covid19_grouped_by_days.csv
Columns:
Date
Confirmed
Deaths
Recovered
Active
New cases
New deaths
New recovered
Deaths / 100 Cases
Recovered / 100 Cases
Deaths / 100 Recovered
Country Number
Population CSV files
The dataset contains population data of different countries/regions from 1960 to 2018. There are condensed and region-wise data in the population dataset.
Origin: https://data.worldbank.org/indicator/SP.POP.TOTL
Create environment and install Python libs for a GNU/Linux operation system:
$ . env.sh
$ pip3 install pandas urllib shutil wget
Update data only
$ . update.sh
Update, commit and push data
$ . aupdate.sh
or manually
$ python get_data.py
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