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🔗 Correlation Matrix Calculator

Paste multi-column numeric data and generate a Pearson correlation matrix with basic summary statistics for each variable.

Correlation Matrix Calculator

Paste tabular data and compute a Pearson correlation matrix. See pairwise correlations between columns and basic summary statistics for each variable.

Data

One row per line, columns separated by spaces, tabs, or commas

Example row: 1.2 3.4 5.6. The first column will be X1, the second X2, etc. Non-numeric rows are ignored.

correlation matrix calculatorpearson correlation calculator

Summary

Detected 3 variables with at least one numeric value.

Strongest linear relationship is between X1 and X3 with r = 1.

Correlation matrix (Pearson r)

Variable	X1	X2	X3
X1	1	0.9707	1
X2	0.9707	1	0.9707
X3	1	0.9707	1

Per-variable statistics

Variable	Count (n)	Mean	Std dev
X1	5	3	1.5811
X2	5	3.6	1.1402
X3	5	5	1.5811

How to use this tool

Paste your numeric data with one row per observation and one column per variable.
Check the correlation matrix to see how strongly each pair of variables is linearly related.
Review per-variable means and standard deviations for context.

Pearson correlation calculator for quick analysis

See all pairwise Pearson correlation coefficients in a single matrix.
Quickly spot strong positive or negative linear relationships.
Perfect for exploratory data analysis and homework exercises.

What this correlation matrix shows

Diagonal entries are 1.0 where a variable is correlated with itself.
Off-diagonal entries show Pearson correlation between pairs of variables.
If a column has no variance or too few data points, correlations may be undefined.

FAQ

Does this compute Pearson or Spearman correlation?: This calculator computes Pearson correlation, which measures linear relationships. It does not currently compute Spearman rank correlation.
How many variables can I include?: You can paste as many columns as you like, but very wide matrices may be harder to read. The calculator is best suited to small and medium-sized data sets.
What if some rows have missing values?: Rows that cannot be parsed into numeric columns are skipped entirely. For best results, clean your data before pasting.

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