This question already has an answer here:
- Visualizing a million, PCA edition 3 answers
I am often disappointed with PCA plots in the scientific literature. Typically PCA plots do not provide a breakdown of the variables and their weights, just something like PCA1 (70% variance explained), PCA2 (10% variance explained). How could one tell which variables are strongly loaded into a component?
Are there PCA visualizations that can provide more insight into the data?