Data Tools

Data Correlation Analysis

Analyze relationships between numerical variables using Pearson and Spearman correlations

Input data (JSON array)

Upload

Correlation method

Fields to analyze

Statistical significance

Significance α

Correlation results (JSON)

Output will appear here...

Example input

[
  { "id": 1, "age": 25, "income": 50000, "spending": 35000, "satisfaction": 4.2 },
  { "id": 2, "age": 35, "income": 75000, "spending": 45000, "satisfaction": 4.5 },
  { "id": 3, "age": 45, "income": 100000, "spending": 60000, "satisfaction": 4.8 }
]

Pearson: linear relationships
Spearman: monotonic rank relationships
Coefficients range from -1 to +1