TimelyScholarFree Tools › Correlation Matrix Generator
Compute Pearson or Spearman correlations between every pair of variables, see them as a colour-coded heatmap and download all pairs with p-values adjusted for multiple testing.
FreeNo account neededYour data stays in your browser
Pearson's r measures linear association. The CSV includes p-values adjusted for multiple testing (Benjamini-Hochberg), because a matrix of 6 variables involves 15 tests.
Variables as columns (or rows).
Linear or rank-based association.
The heatmap and a table of all pairs.
A correlation matrix shows the correlation coefficient between each pair of variables. Values near +1 or −1 indicate strong positive or negative association; values near 0 indicate little linear (or monotonic) association.
Many pairs are tested at once, so p-values should be adjusted for multiple comparisons; the download includes Benjamini-Hochberg adjusted values.
Use Pearson for roughly linear relationships between continuous variables and Spearman for ranks, skewed data or outliers.