Numsense! Data Science for the Layman: No Math Added

by Annalyn Ng

Therefore, instead of analyzing the four nutrition variables separately, we can combine highly-correlated variables, hence leaving just two dimensions to consider. This is why PCA is called a dimension reduction technique.