Documents DataMa
  • Home
  • Solutions
    • DataMa Compare
    • DataMa Pivot
    • DataMa Impact
  • News
  • About
  • Confidentiality Agreement
  • DataMa Compare
  • DataMa Impact
  • DataMa Journey
  • DataMa Pivot
  • DataMa Software License Agreement
  • Extensions
  • All Docs

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 detailed view Sankey

Sankey

This aims to discover how dimensions are correlated.

By choosing in the right menu the dimension you want to explore, you can understand the distribution of each segment within a dimension.

 

 

The « % Distrib » option make appear the segments on the right of the window all at the same size. This help to compare segment between each other.

Updated on octobre 1, 2019
© 2021 Documents DataMa
Proudly powered by WordPress | Theme: weDocs by Tareq Hasan