A Flow Relational Model is a specialized transform that produces a data structure which can be visualized using a Flow Diagram. The important concept behind a Flow Relational Model is that it builds up a hierarchical dataset based off of link information. This differs from a Tree Map Relational model, which builds its model from node information.
The “Choose a Transform” dialog will appear, showing the available transforms in the system.
This step sets up the relationship between attributes in the underlying dataset.
The unique values for each attribute will show up as:
If you were looking as Stock Market data (see example below), you may want to see Summations of stock prices by “Sector”, and how those sectors feed “Industry”, and ultimately how the different Industries affect the various “Markets”. The order can be adjusted by dragging list items to new positions within the list. The size of the nodes will be calculated based on the Link Value Aggregation method selected. See “Link Value Aggregation” below.
This property determines how to calculate the proportional sizes of the nodes inside of a Sankey or a Chord Diagram. The visualizations for a Flow Relational Model will group the data by each specified attribute, and then generate a proportional size based on the aggregation function specified here. There are several different options for calculating sizes:
Details about this step can found here: Satisfy Upstream Node Variables Wizard Step
Refer to the “Variables” section for more information.