data analysis
What is the French School of Data Analysis?
Below are key references that shed light on its foundations. Many modern « embedding » methods, such as TF-IDF, can trace their principles back to these approaches, including techniques like Correspondence Analysis.
Foundational References
- Multivariate Data Analysis: The French Way – S. Holmes.
- Special Issue on the History of Multivariate Exploratory Data Analysis – L. Lebart.
- Visualization and Verbalization of Data – Blasius & Greenacre, focusing on Correspondence Analysis and MCA.
- Correspondence Analysis and Data Coding with Java and R – F. Murtagh, highlighting the historical context of data analysis.
- Geometric Data Analysis – B. Le Roux & H. Rouanet, including a historical sketch.
- La Méthodologie de Pierre Bourdieu en Action – F. Lebaron & B. Le Roux
- Histoire et Préhistoire de l’Analyse des Données – J.-P. Benzécri, tracing the origins of data analysis.
Broader Context on Statistics and Data Science
- 50 Years of Data Science – D. Donoho, reflecting on the evolution of the field.
- Statistics and the Sciences – J. de Leeuw, exploring models of data
These works explain the French School’s impact and its connection to modern data science methodologies.