French People And Television [EIGSI-Group 13]
Type : visualization
Thème : culture_and_recreation
Mots-clés : audience-mediatique,emission-television-francaise,part-de-parole,representation-feminin,tones-parlants

This project presents a comprehensive analysis of the French media landscape based on public open datasets. Developed as part of the Open Data University program, it aims to explore how information is accessed, structured, and represented in France today. The work combines data processing, visualization, and interpretation in order to extract meaningful insights from raw data and provide a clearer understanding of current media dynamics.

 

The analysis is built around four complementary visualizations. The first graph examines the distribution of main information sources among French people, highlighting the balance between traditional media and digital platforms. The second focuses on the evolution of television news content over time, revealing both structural patterns and the impact of major events on media coverage. The third explores the relationship between audience share and women’s presence across television channels, while the fourth analyzes the distribution of speaking time between women and men on television over several years.

The datasets used in this project come from trusted public institutions such as ARCOM and INA, and were accessed through the French open data platform (data.gouv.fr). The data was cleaned, filtered, and transformed using R in order to make it suitable for analysis and visualization. Several processing steps were necessary, including restructuring datasets, aggregating variables, and aligning different sources to allow meaningful comparisons.

Overall, this project highlights both the transformations and the persistent characteristics of the French media system. It shows that while digital practices are reshaping access to information, traditional media remain highly influential. It also reveals important inequalities in media representation, particularly regarding gender. By combining multiple perspectives, this work demonstrates how open data can be used to better understand complex societal issues through clear and accessible visualizations.