Principal Component Analysis (PCA)

This video introduces Principal Component Analysis, or PCA, which is new in Prism 9. It’s a powerful tool used for exploratory analyses with large datasets. Follow along as we motivate PCA with an example in Prism.
You will learn
- When to use PCA
- How to find outlying points with unusual behavior
- How to launch PCA
- How to create and interpret PCA graphs
Learn more about Prism 9 features and capabilities: graphpad.com/support/faq/prism-900-release-notes/
Try Prism for free: www.graphpad.com/demos