Correlation Matrix Template
See which columns move together in a colour-coded matrix — spot the relationships in your data at a glance.
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What's inside this template
How it works
It loads with realistic sample data so you see a finished result immediately — nothing to set up.
Type over the sample values, or upload your own file and map the columns in a couple of clicks.
The tool recalculates instantly. Export to Excel or send a live link.
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Common questions
What does a correlation coefficient actually mean?
It measures how tightly two columns move together, from -1 to 1. Above about 0.7 or below -0.7 is a strong relationship; near zero means no *linear* relationship, which is not the same as no relationship at all.
Does correlation mean one thing causes the other?
No. Two columns can move together because one drives the other, because something else drives both, or by coincidence across a small sample. A matrix tells you where to look, not what to conclude.
How much data do I need for this to be meaningful?
At least 30 rows before a coefficient means much, and considerably more if you're comparing many columns at once — test enough pairs and some will look strong purely by chance.
Start from the Correlation matrix template
Open it with sample data, swap in your own, and export in seconds — no formulas, no blank page.
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