Correlation Studio
Find statistically significant correlations across dataset column pairs
About Correlation Studio
Correlation Studio is built for analysts, researchers and curious data people who want to test relationships between datasets without writing the statistics by hand. You upload a dataset and the tool checks every column pair for statistically significant correlations, reporting p-values alongside Pearson and Spearman coefficients and Granger causality tests.
Results are organized as discoveries and experiments, with AI-generated analysis to help explain what a relationship might mean. The public library shows many examples built on economic and market series such as S&P 500 data, oil prices and Federal Reserve rates, and users can publish their own work as shareable portfolios.
The site emphasizes correlation analysis and causation checks rather than presenting relationships as proof of cause, so it suits exploratory work where findings still need validation.
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