Principal component analysis
From Freephile Wiki
wikipedia:Principal component analysis (PCA) has applications in many fields such as population genetics, microbiome studies, and atmospheric science. It is a methodology to take a wide range of data and reduce it to be able to describe or visualize the data more easily without losing too much accuracy.
This video (and the supporting article by 'built-in') explains it
