Demo Project to import, analyze and visualize Covid Data from Switzerland. Developed with Python, JupyterNotebook and VSCode.
Import of daily Covid data from OpenZH (Source described below). Data is preprocessed and cleaned. Output is stored in a CSV File (Data/CovidData) and Archived (Data/Archive).
Projet Setup and Packages used for this Project. Ideas for further Implementations.
- pip3 install requests
- pip3 install pandas
- pip3 install seaborn
- pip3 install plotly
- Vaccination
- Positivitätsrate
- externe Sources (Wetter, Stringency Index)
- Descriptive: Total Infizierte / Geimpfte / % ..
- Visualization mit GeoPandas
Data Source, Processing and Documentation of the Output Data.
OpenZH (Specialist Unit for Open Government Data Canton of Zurich): https://github.com/openZH/covid_19
- Aggregates all Cantons in one Dataset
- Add Daily Numbers (Tested, Confirmed, Released, Deceased)
- Add seven day means for Confirmed and Deceased Cases
Date when the numbers where reported
Canton in which the numbers where reported
Amount of tests per day
Ammount of tests total
Amount of positive tests per day
Amount of positive tests total
Seven Day mean of positive tests per days
% positive tests to total tests
Amount of new hospitalisations per day
Amount of ICU patients
Amount of patients which needs vent
Amount of released patients total
Amount of released patients per day
Amount of deceased patients per day
Amount of deceased patients total
Seven day mean of deceased patients
Total amount of persons which are currently isolated
Total amount of persons which are currently quarantined