The application shows the spatio-temporal variations of the Omicron wave in metropolitan France. The data come from the SI-DEP public dataset:
https://www.data.gouv.fr/en/datasets/donnees-relatives-aux-resultats-des-tests-virologiques-covid-19/.
Since the raw data display a strong cyclic weekly variation, it has been smoothed by computing the 7-days moving average.
- By date - you can view the map for the selected date. Clicking on the department will display a popup showing the evolution of cases over the whole period.
- By department - you can compare the evolution of cases over time for selected departments. Raw data shown as bars, and smoothed data as shaded area.
Zivan is freelance data science & software engineering consultant, passionate about using mathematics, statistics, and computing to transform the data into actionable insights that can help solve real-world problems. Particularly fond of the R ecosystem, has been using it even before it was created (using R ancestor S/S+ since the early 90s).
You can connect with him on LinkedIn https://www.linkedin.com/in/zivankaraman/.