Correlation & Association

These tools measure how strongly two variables move together, whether both are numeric, one is ranked, or both are categorical. A scatter plot is the default companion view for two numeric variables, since a single coefficient can hide a relationship's actual shape.

Every engine here calculates pair count, ties, and zero-variance conditions directly from your data, but the identity and independence of your pairs, and whether any observed relationship reflects a real connection rather than a shared underlying cause, are left for you to judge. No association measure, however strong, establishes causation on its own.