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Analyze — Statistical Methods
Correlation
Pearson correlation measures how strongly your selected numeric columns move together — no additional configuration is needed beyond picking your dataset and columns in step 1.
Quick Start
- 1
Select two or more numeric columns
Correlation is computed across every pair of columns you select.
- 2
Choose Pearson correlation
No extra fields appear — this method runs directly on what you selected.
- 3
Run and read the results
Results render inline once the job completes.
Good to know
- Pearson correlation only captures linear relationships — two columns can be strongly related in a non-linear way and still show a low score.
- Non-numeric columns you select are either ignored or reported as non-numeric.
- Run this before regression to get a feel for which predictors might be worth including.