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count
The count function calculates the number of values in a dimension or measure, grouped by the chosen dimension or dimensions. For example, count(product type) returns the total number of product types grouped by the (optional) chosen dimension, including any duplicates. The count(sales) function returns the total number of sales completed grouped by the (optional) chosen dimension, for example salesperson.
Syntax
count(dimension or measure, [group-by level])
Arguments
- dimension or measure
-
The argument must be a measure or a dimension. Null values are omitted from the results. Literal values don't work. The argument must be a field.
- group-by level
-
(Optional) Specifies the level to group the aggregation by. The level added can be any dimension or dimensions independent of the dimensions added to the visual.
The argument must be a dimension field. The group-by level must be enclosed in square brackets
[ ]. For more information, see LAC-A functions.
Examples
The following example calculates the count of sales by a specified dimension in the visual. In this example, the count of sales by month are shown.
count({Sales})
You can also specify at what level to group the computation using one or more dimensions in the view or in your dataset. This is called a LAC-A function. For more information about LAC-A functions, see LAC-A functions. The following example calculates the count of sales at the Country level, but not across other dimensions (Region or Product) in the visual.
count({Sales}, [{Country}])
