Correlation Matrix Generator

Analyze relationships between variables with correlation coefficients and heatmap visualization

Input Data (CSV Format)

Enter your data with column headers in the first row. Each row represents an observation.

Help

How to Use
  1. Enter your data in CSV format with headers in the first row
  2. Each subsequent row should contain numeric values for each variable
  3. Click "Calculate Correlation Matrix" to analyze relationships
  4. View the correlation matrix table and heatmap visualization
  5. Check the insights section for strong correlations
Understanding Correlation
  • +1.0: Perfect positive correlation (as one increases, the other increases)
  • +0.7 to +1.0: Strong positive correlation
  • +0.4 to +0.7: Moderate positive correlation
  • -0.4 to +0.4: Weak or no correlation
  • -0.7 to -0.4: Moderate negative correlation
  • -1.0 to -0.7: Strong negative correlation
  • -1.0: Perfect negative correlation (as one increases, the other decreases)
Use Cases
  • Feature Selection: Identify highly correlated features for removal
  • Multicollinearity Detection: Check for problematic correlations in regression
  • Data Exploration: Discover relationships between variables
  • Hypothesis Generation: Find potential causal relationships
  • Portfolio Analysis: Understand asset correlations in finance
Example Data

Example: Test Scores

Math,Science,English,History
85,88,75,80
90,92,78,85
78,80,82,79
92,95,80,88
88,85,90,86
95,98,85,92