Correlation Explorer
See which numbers move together, and which don't.
Correlation Matrix
Demonstration using a representative 20-row sample dataset (price, units sold, ad spend, rating, returns).
What is happening?
Correlation measures how closely two numeric columns move together, from −1 (perfectly opposite) to +1 (perfectly together). Correlation does not imply causation: two things can move together because one causes the other, because a third factor drives both, or by coincidence.
Under the Hood
Sample dataset (bundled)
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Pearson correlation for every numeric column pair
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Matrix rendered, pair selection redraws the scatter plot
Inputs
- 5 numeric columns, 20 rows
Processing
- Pearson correlation coefficient
Output
- Correlation matrix
- Scatter plot per pair
Technology
- Vanilla JavaScript
- Hand-built inline SVG chart
Explore another experiment
More Playground experiments are on the way.