A data visualisation project on health and eating habits in France using D3.js on open data
This is a project on data visualisation for a course on Data visualisation techniques from Master's degree IPAC (Interaction, perception, Learning and Knowledge), research approach, given at Université de Lorraine in Nancy, France.
Its aim was to retrieve interesting informations from open data datasets and propose interesting data visualisations.
The chosen dataset is available as open source data in the French governments' data page :
- Données de consommations et habitudes alimentaires de l'étude INCA 2 (url : https://www.data.gouv.fr/fr/datasets/donnees-de-consommations-et-habitudes-alimentaires-de-letude-inca-2-3//)
It is a dataset containing eating and health habits from french residents within a week. The INCA 2 study was carried out between december 2005 and april 2007.
The aim of the project was to visualize the interesting facts and data surrounding health and eating habits in France.
We used Python parsers to retrieve clean data files using Pandas library (see data/parsers) Our visualisations of interesting data were implemented using D3.js v4.0 library
This project was designed and developped by :
Timothy G. (@GTimothy)
Valentina Zelaya (@vz-chameleon)
This ENTIRE project (all Python parsing scripts, stylesheets, html docs, js scripts) is licensed under the GNU GPL v3.0 License
- Hat tip to Romane Persch, whose initial use of the data inspired the idea for this project