distinctCountOver

The distinctCountOver function calculates the distinct count of the operand partitioned by the specified attributes at a specified level. Supported levels are PRE_FILTER and PRE_AGG. The operand must be unaggregated.

Syntax

The brackets are required. To see which arguments are optional, see the following descriptions.

distinctCountOver
(
  measure or dimension field 
  ,[ partition_field, ... ]  
  ,calculation level 
)

Arguments

measure or dimension field

The measure or dimension that you want to do the calculation for, for example {Sales Amt}. Valid values are PRE_FILTER and PRE_AGG.

partition field

(Optional) One or more dimensions that you want to partition by, separated by commas.

Each field in the list is enclosed in {} (curly braces), if it is more than one word. The entire list is enclosed in [ ] (square brackets).

calculation level

(Optional) Specifies the calculation level to use:

• PRE_FILTER – Prefilter calculations are computed before the dataset filters.

• PRE_AGG – Preaggregate calculations are computed before applying aggregations and top and bottom N filters to the visuals.

This value defaults to POST_AGG_FILTER when blank. POST_AGG_FILTER is not a valid level for this operation and will result in an error message. For more information, see Using level-aware calculations in Insights.

Example

The following example gets the distinct count of Sales partitioned over City and State at the PRE_AGG level.

distinctCountOver
(
  Sales, 
  [City, State], PRE_AGG
)