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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 arePRE_FILTERandPRE_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_FILTERwhen blank.POST_AGG_FILTERis not a valid level for this operation and will result in an error message. For more information, see Using level-aware calculations in Amazon QuickSight. -
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 )
