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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 Value Boxes

Value Boxes

 

 

Value boxes intends to give you an executive summary of your analysis. It is split in 3 boxes

  1. The mean of the selected KPI on the overall dimension
  2. The most important dimension in your dataset to follow the selected KPI.
  3. The highest correlation in your dataset
Updated on septembre 9, 2019
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