R Data-Science

https://www.rpubs.com/chris_mckelt/capstone-presentation

PCA Principal Components Analysis (PCA) allows us to study and explore a set of quantitative variables measured on a set of objects Core Idea With PCA we seek to reduce the dimensionality (reduce the number of variables) of a data set while retaining as much as possible of the variation present in the data Before performing a PCA(or any other multivariate method) we should start with some preliminary explorations Descriptive statistics Basic graphical displays Distribution of variables Pair-wise correlations among variables Perhaps transforming some variables ETC ...