COVIDVIZ

Link to to launch the dashboard with instructions :

Link to our oral presentation :

Spatio-temporal evolution of Covid19 cases in France

In the context of a Software Development project we had to analyze the spreading of the covid19 disease in France with an animated map, which allows to visualize by day covid deaths in French departments.

Then we had to produce various charts and gif to illustrate how the covid19 affect population, for instance by age (e.g. a dashboard with various statistical features).

Here is an exemple of our work :

To this aim, we create the module covidviz.

Dashboard

Here is an overview of the dashboard :

Dataset

We mainly used data from data.gouv.fr data.gouv.fr which provides a counting of Covid-19 such as :

• Data on people vaccinated against Covid-19

• Global Covid-19 data with deads and hospitalized

We also used geometry data used for maps are from France geoJSON.

Module structure

The main code can be found in ./covidviz folder.

There is a jupyter notebook which contains all our visualizations in the ./report folder.

You can find a beamer presentation in the ./beamer folder.

You can find a some examples of our visualizations in the ./temp folder.

Installation

On Windows

To install covidviz on Windows open you git manager (git bash, git kraken or others).

Then clone the following repository with this command :

$ git clone https://github.com/jihene-b3/covidviz.git

After that, go on Anaconda prompt, go to the root of the covidviz project cloned and type :

$ conda env create -f environment.yml 

On Linux and MAC

To install covidviz on Linux go to your terminal and type :

$ git clone https://github.com/jihene-b3/covidviz.git

Then go to the root of the covidviz project cloned and type :

$ conda env create -f environment.yml 

Documentation

The documentation of covidviz can be found here : covidviz doc

Members

• Jihène Belgaied : jihene.belgaied@etu.umontpellier.fr
• Zakaria Laabsi : zakaria.laabsi@etu.umontpellier.fr
• Chloé Serre-Combe : chloe.serre-combe@etu.umontpellier.fr
• Stephani Ujka : stephani.ujka@etu.umontpellier.fr

Tasks repartition

• Jihène : spatio-temporal covid19 evolution statistics

• Zakaria : vaccine statistics and map on a dashboard

• Chloé : covid deaths and covid hospitalized widget maps, sparse, unit tests and CI

• Stephani : icu and screening statistic

• Everyone : documentation, beamer, module architecture, time and memory efficiency...