PCA analysis and tidy data
Introduction PCA (principal components analysis) is multivariate statistical method that concerned with examination of several variables simultaneously. The idea is provide a dimensionality reduction of data sets, finding the most representative variables to explain some phenomenon. Thus the PCA analyses inter-relation among variables and explains them by its inherent dimensions (components). If there is NO correlation among the variables, PCA analysis will not be useful. This post is divided in two section.