Does a correlation near zero mean two columns are unrelated?

Not necessarily — Pearson correlation only measures linear relationships. Two columns could have a strong non-linear relationship (like a U-shape) and still show a correlation near zero, since that pattern isn't linear.

Does correlation imply causation?

No — a strong correlation only shows the two variables tend to move together (or oppositely); it says nothing about whether one causes the other, or whether both are driven by a separate underlying factor.

Correlation Matrix Calculator

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Compute the Pearson correlation coefficient between every pair of numeric columns in a CSV file.

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Supports single file (.csv,text/csv)

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How to use Correlation Matrix Calculator

1Upload a CSV file with at least two numeric columns.
2View the full pairwise correlation matrix, color-coded by strength and direction.
3Look for values close to +1 or -1 to spot strong relationships between variables.

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About Correlation Matrix Calculator

Correlation Matrix Calculator

Computes the Pearson correlation coefficient — a measure of linear relationship strength and direction, ranging from -1 (perfect inverse relationship) to +1 (perfect direct relationship) — between every pair of numeric columns in your dataset, displayed as a color-coded matrix.

Correlation measures a linear relationship specifically — two variables can have a strong non-linear relationship (like a U-shape) while still showing a near-zero Pearson correlation, since the metric doesn't capture non-linear patterns.

Educational Guides & Tutorials

developer

Correlation vs. Causation: What a Correlation Matrix Actually Proves

Why Pearson correlation only measures linear relationship strength, and the three ways a strong correlation can appear without any causal relationship existing.

Read guide →

Frequently Asked Questions

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