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CSV Correlation Matrix
Compute a Pearson correlation matrix across your numeric columns — entirely in your browser, with your data never leaving the page.
Compute a Pearson correlation matrix across your numeric columns — entirely in your browser, with your data never leaving the page.
Load a CSV, choose which numeric columns to compare, and download a square matrix of Pearson correlation coefficients. Every value is computed locally in your browser.
Drop in or paste your CSV. The tool profiles each column and flags which ones are numeric and eligible for correlation.
Select the numeric columns you want to compare, or leave the picker empty to correlate every numeric column at once.
Get a square matrix where each cell is the Pearson coefficient (−1 to 1, rounded to three decimals) between two columns. The diagonal is always 1.
A correlation matrix is the fastest way to see which numeric fields move together before you model, chart, or report on them.
One matrix shows every pairwise relationship at a glance, so you can see strong positive or negative links without plotting each pair.
Each pair uses only rows where both values are numeric, so blanks and stray text in one column never silently drop unrelated data.
Coefficients are clamped to the −1 to 1 range and constant columns return blank rather than a misleading value, so you can trust what you read.
All math runs client-side in your browser. Nothing is uploaded, logged, or sent to a server — your raw numbers stay on your machine.