alt-f1/covid-19

tools built to digest, compile and analyze data related to the covid-19

covid-19

Jupyter notebook built to digest, compile and analyze data related to the covid-19

The charts are displayed using plotly https://plot.ly

Run the jupyter

• on Google Colab :

• on Azure Notebooks : https://notebooks.azure.com/abdelkrim/projects/covid-19

Author : Abdelkrim Boujraf working for http://www.alt-f1.be

how to run the code using python3?

• download the code on your machine
• install python3
• run pip install -r requirements.txt
• run the code python daily_geographic_distribution_of_covid_19_cases_worldwide.py

results in the browser

• your default browser will start and display three charts

Covid-19 - New confirmed cases in Belgium and Italy

Covid-19 - New deaths in Belgium and Italy

Covid-19 - Worldwide, new confirmed cases and new deaths

how to run the code on a jupyter notebook

upload the jupyter notebook on Google Colab https://colab.research.google.com/

The jupyter notebook runs exactly the same code as the python code.

The user chooses the countries s.he wants to compare by using the 'Select multiple' widget

license

The GNU Affero General Public License is a modified version of the ordinary GNU GPL version 3. It has one added requirement: if you run a modified program on a server and let other users communicate with it there, your server must also allow them to download the source code corresponding to the modified version running there.

• why affero? https://www.gnu.org/licenses/why-affero-gpl.html

• source: https://www.gnu.org/licenses/agpl-3.0.en.html