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Correlation
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Supported formats: .csv,.xlsx,.xls,.xlsm,.xlsb,.tsv
AboutCorrelation
Find relationships between variables (Pearson Correlation).Category: Analysis & VisualizationChecking which product metrics move together before building a regression modelSpotting redundant features before feeding data into machine learningValidating that a marketing spend column actually tracks with revenue
The Correlation tool is compatible with:.Run Correlation to identify which numeric columns are related, then use Regression to model the strongest relationships, or Scaling first if your columns are on very different numeric ranges.This tool computes a Pearson correlation coefficient between every pair of numeric columns in your CSV and lays the results out as a color-coded matrix, so you can spot strong positive or negative relationships at a glance. It's built for the moment right before modeling or feature selection, when you need to know which variables move together — and which ones are redundant — before you build a regression or scale your inputs.
Frequently Asked Questions:
What correlation method does it use?
Pearson correlation, which measures the strength and direction of a linear relationship between two numeric variables.
What does a correlation near 0 mean?
It means the two variables show little to no linear relationship with each other.
A quick sanity check for anyone about to build a model or report and needing to know which numbers are secretly telling the same story.