Cumulative Total for a Summarize Table

[Anonymous]

Hello Experts,

Need help in getting running/Cumulative total. I have a summarized table and for that i need one more column that helps in getting cumulative total please help

	SUMMARIZE (
			FILTER ( Inv_Fact_Inventory, 
						Inv_Fact_Inventory[Dashboard]="Current Inventory" && Inv_Fact_Inventory[Inventory Status]="ASSIGNED" && Inv_Fact_Inventory[Inventory Order Type]="TENDERED NOT SHIPPED" ),
			Inv_Fact_Inventory[Received Date],
			"UnAssignedTenderCount", DISTINCTCOUNT(Inv_Fact_Inventory[CURINV_CARGO_ID])
		 )

Here is the output

And in that i need one more column that will have running total. Please help

[v-xuding-msft]

Hi @Anonymous ,

Do you try the way that @az38 suggested? It should work fine. You also could reference the blog to have a try.

https://www.sqlbi.com/articles/computing-running-totals-in-dax/

If you still need help, please share some sample data and your expected output. We will understand more clearly.

[amitchandak]

@Anonymous , We typically get cumulative like this

Cumm Sales = CALCULATE(SUM(Sales[Sales Amount]),filter(date,date[date] <=maxx(date,date[date])))
Cumm Sales = CALCULATE(SUM(Sales[Sales Amount]),filter(date,date[date] <=max(Sales[Sales Date])))

To get the best of the time intelligence function. Make sure you have a date calendar and it has been marked as the date in model view. Also, join it with the date column of your fact/s. Refer :
https://radacad.com/creating-calendar-table-in-power-bi-using-dax-functions
https://www.archerpoint.com/blog/Posts/creating-date-table-power-bi
https://www.sqlbi.com/articles/creating-a-simple-date-table-in-dax/

See if my webinar on Time Intelligence can help: https://community.powerbi.com/t5/Webinars-and-Video-Gallery/PowerBI-Time-Intelligence-Calendar-WTD-YTD-LYTD-Week-Over-Week/m-p/1051626#M184


Appreciate your Kudos.

[az38]

Hi @Anonymous 

try smth like

Measure =
var _curDate = MAX(Table[Date])
RETURN
CALCULATE(
SUM(Table[Results]),
FILTER(ALL(Table), Table[Date] <= _curDate )
)