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Jason_Walker
Frequent Visitor

Slicer Shows No Data When "Select All" is Selected

I'm a Power BI noob and these forums have been invaluable in figuring out how to resolve numerous issues. The latest problem has me stumped though and hours of searching hasn't turned anything up.

 

What I'm trying to figure out is why my slicer shows no data in the visual when "Select All" is picked? I've posted some sample data below of what the table looks like for obligations across two Areas (East and West) and three Departments (Headquarters, Marketing, & Sales). I've created a measure that sums the Obligations and provides the cumulative total by month. Here is the DAX code:

 

FY22 Cumulative Execution = calculate(sum('FY22 Execution'[Oblig.]),filter(all('FY22 Execution'),'FY22 Execution'[Fiscal Month] <= max('FY22 Execution'[Fiscal Month]) && 'FY22 Execution'[Area] == SELECTEDVALUE('FY22 Execution'[Area]) && 'FY22 Execution'[Department] == SELECTEDVALUE('FY22 Execution'[Department])))

 

Currently, I can pick any individual option for Department and Area and the data shows up fine (example below).

One Dept Working.jpg

 

But when I try aggregating all of the execution data by choosing "Select All", no data is returned in the visual

All Depts Selected.jpg

 

Here is the data from the FY22 Execution table if that helps (the Area and Department columns are added in Power BI and based on the specific Functional Area):

 

Fiscal yearFiscal MonthFunctional AreaArea*Department*Oblig.
20221123456SALEEastSales17,542,684.00
20221654321HQHQWestHeadquarters3,204,395.00
20221987654MARKEastMarketing12,811,038.00
20231987654MARKEastMarketing3,478,437.00
20222123456SALEEastSales8,653,641.00
20222654321HQHQWestHeadquarters-1,489,585.00
20222987654MARKEastMarketing7,691,332.00
20222123456SALEEastSales4,265,303.00
20222987654MARKEastMarketing12,132,733.00
20223123456SALEEastSales2,723,758.00
20223654321HQHQWestHeadquarters18,113,175.00
20223987654MARKEastMarketing19,941,798.00
20223654321HQHQWestHeadquarters1,627,687.00
20223987654MARKEastMarketing3,326,112.00
20224123456SALEEastSales-660,530.00
20224654321HQHQWestHeadquarters74,626.00
20224987654MARKEastMarketing2,115,695.00
20224123456SALEEastSales16,243,194.00
20224654321HQHQWestHeadquarters18,588,308.00
20224987654MARKEastMarketing12,118,671.00
20225123456SALEEastSales4,160,079.00
20225654321HQHQWestHeadquarters4,842,431.00
20225987654MARKEastMarketing6,510,183.00
20225654321HQHQWestHeadquarters16,273,608.00
20226123456SALEEastSales11,309,438.00
20226654321HQHQWestHeadquarters12,695,390.00
20226987654MARKEastMarketing6,876,251.00
20226123456SALEEastSales5,740,916.00
20226654321HQHQWestHeadquarters16,471,866.00
20226654321HQHQWestHeadquarters15,861,168.00
20226987654MARKEastMarketing-1,789,973.00
20227123456SALEEastSales1,910,653.00
20227654321HQHQWestHeadquarters6,179,025.00
20227987654MARKEastMarketing8,005,870.00
20227654321HQHQWestHeadquarters9,508,801.00
20228123456SALEEastSales15,743,878.00
20228654321HQHQWestHeadquarters5,789,809.00
20228987654MARKEastMarketing16,399,780.00
20228123456SALEEastSales6,208,686.00
20228654321HQHQWestHeadquarters9,778,786.00
20229123456SALEEastSales1,342,227.00
20229654321HQHQWestHeadquarters11,035,011.00
20229987654MARKEastMarketing9,341,516.00
20229654321HQHQWestHeadquarters4,190,246.00
20229987654MARKEastMarketing7,771,284.00
202210123456SALEEastSales-246,182.00
202210654321HQHQWestHeadquarters7,686,851.00
202210987654MARKEastMarketing415,005.00
202210123456SALEEastSales1,678,615.00
202210654321HQHQWestHeadquarters11,874,096.00
202210987654MARKEastMarketing5,563,839.00
202211123456SALEEastSales3,150,280.00
202211654321HQHQWestHeadquarters4,652,000.00
202211987654MARKEastMarketing-1,929,710.00
202211654321HQHQWestHeadquarters3,575,209.00
202211987654MARKEastMarketing182,394.00
202212123456SALEEastSales4,755,511.00
202212654321HQHQWestHeadquarters318,556.00
202212987654MARKEastMarketing19,372,329.00
202212654321HQHQWestHeadquarters-47,837.00

 

I'm pretty sure the issue is the filter I have in the Measure but I'm not sure how to fix it. Any ideas what the problem is?

1 ACCEPTED SOLUTION
amitchandak
Super User
Super User

@Jason_Walker , Try like

 

FY22 Cumulative Execution = calculate(sum('FY22 Execution'[Oblig.]),filter(all('FY22 Execution'),'FY22 Execution'[Fiscal Month] <= max('FY22 Execution'[Fiscal Month]) && 'FY22 Execution'[Area] in VALUEs('FY22 Execution'[Area]) && 'FY22 Execution'[Department] in VALUEs('FY22 Execution'[Department])))

 

 

or

 


FY22 Cumulative Execution = calculate(sum('FY22 Execution'[Oblig.]),keepfilters( filter(all('FY22 Execution'),'FY22 Execution'[Fiscal Month] <= max('FY22 Execution'[Fiscal Month]) && 'FY22 Execution'[Area] in VALUEs('FY22 Execution'[Area]) && 'FY22 Execution'[Department] in VALUEs('FY22 Execution'[Department]))))

 

 

or use treat as for the two slicer where I have used in

 

https://www.sqlbi.com/articles/propagate-filters-using-treatas-in-dax/

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View solution in original post

2 REPLIES 2
amitchandak
Super User
Super User

@Jason_Walker , Try like

 

FY22 Cumulative Execution = calculate(sum('FY22 Execution'[Oblig.]),filter(all('FY22 Execution'),'FY22 Execution'[Fiscal Month] <= max('FY22 Execution'[Fiscal Month]) && 'FY22 Execution'[Area] in VALUEs('FY22 Execution'[Area]) && 'FY22 Execution'[Department] in VALUEs('FY22 Execution'[Department])))

 

 

or

 


FY22 Cumulative Execution = calculate(sum('FY22 Execution'[Oblig.]),keepfilters( filter(all('FY22 Execution'),'FY22 Execution'[Fiscal Month] <= max('FY22 Execution'[Fiscal Month]) && 'FY22 Execution'[Area] in VALUEs('FY22 Execution'[Area]) && 'FY22 Execution'[Department] in VALUEs('FY22 Execution'[Department]))))

 

 

or use treat as for the two slicer where I have used in

 

https://www.sqlbi.com/articles/propagate-filters-using-treatas-in-dax/

Join us as experts from around the world come together to shape the future of data and AI!
At the Microsoft Analytics Community Conference, global leaders and influential voices are stepping up to share their knowledge and help you master the latest in Microsoft Fabric, Copilot, and Purview.
️ November 12th-14th, 2024
 Online Event
Register Here

The first DAX formula worked great. Thanks for your help!

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