Important: We've redesigned the Amazon QuickSight analysis workspace. You might encounter screenshots or procedural text that doesn't reflect the new look in the QuickSight console. We're in the process of updating screenshots and procedural text.
To find a feature or item, use the Quick search bar.
For more information on QuickSight's new look, see Introducing new analysis experience on Amazon QuickSight
varp
The varp
function calculates the population variance of the set
of numbers in the specified measure, grouped by the chosen dimension or
dimensions.
Syntax
varp(measure, [group-by level])
Arguments
- measure
-
The argument must be a measure. 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 returns the variance of a population of test scores.
varp({Scores})
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 returns the variance of a population test scores at the subject level, but not across other dimensions (Class) in the visual.
varp({Scores}, [Subject]