PCA in R

What is PCA? Principal Component Analysis is a useful technique for exploratory data analysis. It helps in better defining the variation in samples when each sample is represented by many variables or you have wide dataset. PCA reduces the dimensionality of the data set and allows you to explain the variability using fewer variables. Though … Continue reading PCA in R