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DataMa Pivot

  • General introduction
    • Introduction
    • Use cases examples
      • Web performance – Google Analytics
    • Model
      • Dimension importance
        • Decision tree
      • Clustering
      • Correlation & Interdependencies
    • Inputs
      • Sources
      • Metric relation
    • Outputs
      • Shiny Web App
      • Other outputs
  • Web application
    • Introduction
    • 1. Dashboard
      • Value Boxes
      • Dimension importance
        • Dimension comparison
        • Decision tree
        • Table
      • Clustering
        • Simple chart
        • Clustered chart
      • Interdependence
        • Simple test Matrix
        • Chi Square Matrix
      • Interdependence detailed view
        • Contingency table
        • Sankey
    • 2. Menu
      • Definitions
      • Filters
        • Excluded dimension
        • Filters level 1 & 2
      • Settings
        • Tree depth
        • Aggregation in %
        • Continuous clustering depth
    • 3. Admin
      • Loaded version
      • Change source
      • Save as…
      • Manage version
      • Extract
Home DataMa Pivot Web application 1. Dashboard Interdependence Simple test Matrix

Simple test Matrix

Simple test Matrix – Correlation

The calculation is made using a simple correlation rate to determine whether dimensions are independent.

These figures are percentage of correlation.

 

Updated on septembre 20, 2019
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