runningSum
The runningSum
function calculates a running sum for a measure based on the specified
dimensions and sort orders.
Syntax
The brackets are required. To see which arguments are optional, see the following descriptions.
runningSum (
measure
,[ sortorder_field ASC_or_DESC, ... ]
,[ partition_field, ... ]
)
Arguments
- measure
-
An aggregated measure that you want to see the running sum for.
- sort order field
-
One or more measures and dimensions that you want to sort the data by, separated by commas. You can specify either ascending (
ASC
) or descending (DESC
) sort order.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).
- 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).
Example
The following example calculates a running sum of sum(Sales)
, sorted
by Sales
, partitioned by City
and
State
.
runningSum ( sum(Sales), [Sales ASC], [City, State] )
The following example calculates a running sum of Billed Amount
,
sorted by month ([truncDate("MM",Date) ASC]
). The fields in the table
calculation are in the field wells of the visual.
runningSum ( sum({Billed Amount}), [truncDate("MM",Date) ASC] )
The following screenshot shows the results of the example. The red labels show how
each amount is added ( a + b = c
) to the next amount, resulting in a
new total.
