Software & Data
Data Files
Culture Example
Dataset used in Chapter 5 of the book Geometric Data Analysis (2004).
Excel EN · Excel FR · SPAD project — performs data coding and Multiple Correspondence Analysis (MCA).
French Worker Survey
Dataset used in the chapter Interpreting Axes in MCA (1998).
Leisure Dataset
Dataset used in the book Analyse géométrique des données multidimensionnelles (2014).
Excel · Description of the dataset
Parkinson Dataset
Dataset used in the books Combinatorial Inference in GDA (2019), Analyse géométrique des données multidimensionnelles (2014) and Geometric Data Analysis (2004), and in the paper Combinatorial Typicality Test in GDA (2017).
Political Space Dataset
Data on the political space of French voters at the end of the 1990s, used in the paper L’espace politique des électeurs français à la fin des années 1990 (2000) and in Geometric Data Analysis (Chapter 9, 2004).
Taste Example
Dataset used in the monograph Multiple Correspondence Analysis (2010).
Software — R Scripts
The SPAD software includes a very comprehensive module for methods of Geometric Data Analysis (bi-weighted PCA, specific MCA, concentration ellipses, interpretation of axes using the method of contributions, etc.) as well as efficient tools for exploring textual data.
R scripts — To download the R scripts for Combinatorial Inference methods and the R scripts interfaced with SPAD software, see the Combinatorial Inference in GDA book page.
Reference Papers
- Factor-Analysis of Correspondences — B. Escofier-Cordier (1965 International Conference in Computational Linguistics)
- Statistical Analysis as a Tool to Make Patterns Emerge from Data — J-P. Benzécri (in Methodology of Pattern Recognition, Academic Press, 1969)
- Interpreting Axes in Multiple Correspondence Analysis: Method of the Contributions of Points and Deviations (chapter 16 in Vizualisation of Categorical Data, Academic Press, 1998)
- Qu’est-ce que l’analyse des données — slides by J-P. Benzécri presented at CARME 2003 (Barcelona) by B. Le Roux
- What is MCA? — slides of the talk presented at the “Research Methods festival” conference in Oxford (2006)