Amazon QuickSight
User Guide

varpOver

varpOver calculates the variance of the specified measure, partitioned by the chosen attribute or attributes, based on a biased population.

varpOver is supported for use with analyses based on SPICE and direct query data sets.

Syntax

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

varpOver ( measure ,[ partition_field, ... ] ,calculation level )

Arguments

measure

The measure that you want to do the calculation for, for example sum({Sales Amt}). Use an aggregation if the calculation level is set to NULL or POST_AGG_FILTER. Don't use an aggregation if the calculation level is set to PRE_FILTER or 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.

  • POST_AGG_FILTER – (default) table calculations are computed when the visuals display.

This value defaults to POST_AGG_FILTER when blank. For more information, see Using Level-Aware Aggregations.

Example

The following example calculates the variance of sum(Sales), partitioned by City and State, based on a biased population.

varpOver ( sum(Sales), [City, State] )

The following example calculates the variance of Billed Amount over Customer Region, based on a biased population. This example uses the revenue sample data set, located in an Amazon S3 bucket. The fields in the table calculation are in the field wells of the visual.

varpOver ( sum({Billed Amount}), [{Customer Region}] )

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