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avgOver
The avgOver
function calculates the average of a measure partitioned by a list of
dimensions.
Syntax
The brackets are required. To see which arguments are optional, see the following descriptions.
avgOver (
measure
,[ partition_field, ... ]
,calculation level
)
The following example shows the average Billed Amount
over
Customer Region
. The fields in the table
calculation are in the field wells of the visual.
avgOver ( sum({Billed Amount}), [{Customer Region}] )
The following screenshot shows the results of the example. With the addition of
Service Line
, the total amount billed for each is displayed, and the
average of these three values displays in the calculated field.
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 toNULL
orPOST_AGG_FILTER
. Don't use an aggregation if the calculation level is set toPRE_FILTER
orPRE_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 calculations in Amazon QuickSight. -
Example
The following example gets the average sum(Sales)
partitioned over
City
and State
.
avgOver ( sum(Sales), [City, State] )