corr-insight

What problem does it solve?

This tool analyzes numeric data to reveal both simple and partial correlations, helping identify true relationships and flag potential confounding effects.

Core Features & Use Cases

• Compute Pearson and Spearman correlation matrices with associated p-values to quantify strength and significance of relationships.
• Compute partial correlations (net relationships after controlling for other variables) to identify direct links and control for confounders.
• Detect spurious correlations by comparing simple vs. partial correlations across all variable pairs, enabling data-driven QA for analytics projects.
• Provide interpretation guidance in Chinese to help non-statisticians understand the results.

Quick Start

Run correlation analysis on a numeric dataset to obtain matrices, partial correlations, and spurious-detection results.