What’s New

The Customer Distributions node has deprecated the ‘Uniform’ and ‘Ordered’ Types and replaced them with the new ‘Linear’ Type.

In addition, the node:

now allows maximum and minimum limits to be imposed upon the Distribution output, and
has implemented about 10 new Distribution Types.

Linear Types

Two Customer Distribution Types have been deprecated and replaced with a new ‘Linear’ type:

Deprecated: Uniform
Deprecated: Ordered
New: Linear

Linear: (Wikipedia) Generates a set of part-worth values for each Virtual Customer in the shape of a Uniform (Linear) Distribution. The part-worth values can be drawn randomly or can be evenly spaced between the Starting Value and the Ending Value by setting the ‘Smooth’ parameter. The Distribution can optionally be truncated by Minimum and Maximum limits. The Distribution can be sorted in Ascending, Descending, or Random order. Configuration parameters include:

Starting Value (A): Any floating-point (double) value (inclusive)
Ending Value (B): Any floating-point (double) value (inclusive)

Define Distributions

Configuration Dialog

Chart
Output

Min / Max Range

Maximum: If enabled, the data generated for the Customer Distribution will capped at this ceiling Maximum. If a randomly generated data point is greater than this Maximum value then a second randomly generated data point will be used instead. The final data point will only be set to this Maximum value after multiple attempts to generate an acceptable random data point have failed. This Configuration Dialog default can be overridden by a ‘Maximum’ column in the Input Attribute List.

Minimum: If enabled, the data generated for the Customer Distribution will capped at this floor Minimum. If a randomly generated data point is less than this Minimum value then a second randomly generated data point will be used instead. The final data point will only be set to this Minimum value after multiple attempts to generate an acceptable random data point have failed. This Configuration Dialog default can be overridden by a ‘Minimum’ column in the Input Attribute List.

In the example below, the first Distribution has been capped between a Maximum and Minimum range, while the second Distribution has not. The difference between the two outputs can be seen in the histogram.