The by Alboukadel Kassambara is widely considered an excellent resource for those who want to apply multivariate analysis without getting bogged down in heavy mathematical proofs. Why It Is Highly Rated
The book categorizes methods based on the types of data you are analyzing: Practical Guide To Principal Component Methods ...
: The book heavily utilizes the author's own factoextra R package , which creates elegant, ggplot2 -based graphs to help interpret results. The by Alboukadel Kassambara is widely considered an
: It simplifies complex statistical concepts into digestible pieces, focusing on intuitive explanations rather than advanced theory. which creates elegant
: Simple Correspondence Analysis (CA) for two variables and Multiple Correspondence Analysis (MCA) for more than two.
: Those who need to analyze large multivariate datasets for research or business but prefer practical implementation over theoretical derivation.