Correlation Matrix Calculator
Build a Pearson correlation matrix from equal-length data rows.
How the correlation matrix calculator works
A correlation matrix extends a two-variable Pearson coefficient to every pair in a multivariable dataset. Each input line is treated as one variable measured across matching observation positions. The calculator centers each pair, divides covariance-like cross-products by both sums of squares, and arranges the coefficients in a symmetric matrix with ones along the diagonal.
The defaults contain variables 1, 2, 3; 2, 4, 6; and 3, 2, 1. The first two rise in exact proportion and correlate 1. The third falls as the first rises and correlates minus 1 with both. The verified matrix therefore has diagonal ones, first-second entries one, and every pair involving the third equal minus one.
Reading correlation matrix calculator results privately
Pearson correlation measures linear association and can miss strong curved relationships. Every row must have the same observation count and nonzero variance; a constant variable has undefined correlation. Pair positions must correspond across all variables. High correlation is not evidence that one variable causes another, and outliers can strongly change the coefficients. This correlation matrix calculator calculation runs entirely in your browser, so the numbers you enter never leave your device.
Frequently Asked Questions
Why is the matrix symmetric?
The correlation of A with B equals the correlation of B with A, so values mirror across the diagonal.
Why are diagonal entries one?
Each nonconstant variable is perfectly linearly correlated with itself.
Is the correlation matrix calculator private?
Yes. Its inputs and results stay in your browser. Bushe.co does not upload or store the values used in this calculation.
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