The minOver function calculates the minimum of a measure or date partitioned by a
list of dimensions.
Syntax
The brackets are required. To see which arguments are optional, see the following descriptions.
minOver (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 toNULLorPOST_AGG_FILTER. Don't use an aggregation if the calculation level is set toPRE_FILTERorPRE_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_FILTERwhen blank. For more information, see Using level-aware calculations in Amazon QuickSight. -
Example
The following example calculates the min sum(Sales), partitioned by
City and State.
minOver
(
sum(Sales),
[City, State]
) The following example shows the minimum Billed Amount over
Customer Region. The fields in the table
calculation are in the field wells of the visual.
minOver
(
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 minimum of these three values displays in the calculated field.
