In PCA, eigenvalues represent the variance explained by each principal component, while eigenvectors determine the direction of these components, illustrating how the original variables are weighted.
More info in my online course: https://statisticsglobe.com/online-course-pca-theory-application-r
#DataScience #PCA #Eigenvalues #Eigenvectors #RProgramming #DataAnalysis
