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 variationPC2
- Axis that spans the 2nd most variation