Discover variable relationships with instant Pearson correlation heatmaps and basic statistical testing.
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The tool calculates the Pearson correlation coefficient between every pair of numerical variables. It measures the linear correlation, outputting a value between -1 and 1.
Strong positive correlations (approaching +1.0) are shaded green/blue, indicating that as one variable rises, the other rises. Negative correlations (-1.0) are shaded red.
Just like all Tangent tools, the math runs entirely in your browser's RAM via JavaScript. We never upload your datasets to any external server.
A correlation of exactly 0 means there is no linear relationship between the two variables. Changing one variable does not reliably predict any change in the other variable. On the matrix, these are colored as dark, neutral cells.
No, Pearson correlation requires numerical inputs. When you upload a dataset, this tool automatically scans the first 100 rows to determine data types. Any column containing text or dates is automatically excluded from the matrix options.
No. The golden rule of statistics is "Correlation does not imply causation." Just because ice cream sales and shark attacks both go up during the summer (a strong positive correlation) does not mean eating ice cream causes shark attacks.