Exploratory Multivariate Analysis by Example Using R

Discover the essential techniques of data analysis with Exploratory Multivariate Analysis by Example Using R, Second Edition, authored by Jérôme Pagès. Published by Taylor & Francis Ltd in 2017, this comprehensive guide spans 262 pages and is designed for both beginners and experienced practitioners in the field of multivariate analysis.

This book delves into four core methods of exploratory data analysis, providing practical examples to enhance your understanding. You will gain insights into principal component analysis (PCA) for quantitative variables, as well as correspondence analysis (CA) and multiple correspondence analysis. Perfect for those looking to apply these techniques in real-world scenarios, this resource is invaluable for anyone interested in programming languages and statistical analysis.

Elevate your data analysis skills with this informative and engaging text that bridges theory and application.