The book categorizes methods based on the types of data you are analyzing:
: The book heavily utilizes the author's own factoextra R package , which creates elegant, ggplot2 -based graphs to help interpret results. Practical Guide To Principal Component Methods ...
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
: Those who need to analyze large multivariate datasets for research or business but prefer practical implementation over theoretical derivation. : Specifically those looking to move beyond "old-school"
: Specifically those looking to move beyond "old-school" base R graphics to more modern, publication-ready visualizations. Practical Guide To Principal Component Methods in R
: Principal Component Analysis (PCA) for quantitative variables.
: It simplifies complex statistical concepts into digestible pieces, focusing on intuitive explanations rather than advanced theory.