Data Science, Factor Analysis, Data, Machine Learning, Statistics.
variance they explain. The first principal component is the most important at describing variance in the data. The remaining principal components are less critical expressing the variability of patterns in the data. Behind the scenes, Principal Component Analysis uses statistical tools to identify