Draw PCA Biplot & Loading Plot in R (Example) | Apply & Visualize Principal Component Analysis

[@dimitriveldkornet6708]

Very well explained. Can I do correspondence analysis using the same package?

[@StatisticsGlobe]

Thanks! I recommend using the FactoMineR package for correspondence analysis. It’s robust, widely used, and works seamlessly with factoextra for visualizations.

[@kebzy]

What code can I use if i have too many overlapping labels or points?

[@StatisticsGlobe]

Hey, you might use repel = TRUE.

[@kebzy]

@@StatisticsGlobeIt gives me a message that says try max.overlaps. My data set is really massive and when I use “repel = TRUE” I still can’t read the chart properly. In fact PC 1 explains just 17% and PC 2 is 13%. I am going crazy😅.

[@StatisticsGlobe]

In this case visualizing your data might not be the best approach. Perhaps you can go for numerical evaluations instead.