PCA is a technique that takes 4 dimension data or higher and converts it to 2 dimension

PCA tries to find a meaningful way to flatten the data by focusing on the things that are important

How to interpret the graph

  • PC1 - Axis that spans the most variation
  • PC2 - Axis that spans the 2nd most variation