Forum Discussion
Stumped: return all within a category
Hi everyone, I am completely stumped on this. Within our data items are categorized by article and UPC. Article is the style, and UPC's are the sizes within that style.
Below is a screenshot of where I want to end up. I want to be able to filter by a UPC, and have all UPC's returned for that article. I changed the slicer interactions to fake it for this demonstration screenshot.
Desired Outcome
I've tried different combinations of ALL(), ALLEXCEPT(), and SELECTEDVALUE() but have only been able to get to this point below.
Current Outcome(s)
I feel like this has to be possible, but I am not gaining momentum. If it's not possible, can someone let me know so I can pivot and stop spinning my wheels?
Thank you for taking the time to check this out.
OK, the solution to this would take a bit to explain so just attaching the file. Most important point, separate, unrelated UPC table.
10 Replies
- Greg_Deckler
Community Champion
Can you post some sample/example raw data? Please see this post regarding How to Get Your Question Answered Quickly: https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490
- RyanAck
Advocate I
Thank you Greg - sorry, new to the forum -- I'll scrub some data and go through the steps outlined in that link to document everything. Thank you very much for sharing.
- RyanAck
Advocate I
Formulas
The only formula I have in my file is the following, which I used as a test but not successfully
All Qty = CALCULATE(Sum([Quantity]), ALL(pqRetailSalesTransactionDetail[UPC]))
Data Subset
I'm using a single table right now, though am open to any possibilities that will make this work which may involve multiple tables and relationships between them.
Article UPC Quantity 10447401 190275903264 1 10447401 190275903134 1 10447401 190275902984 3 10447401 190275903172 3 10447401 190275903066 0 10447401 190275902717 5 10447401 190275903035 8 10447401 190275903080 1 10447401 190275903394 4 10447401 190275903059 3 10447403 190275903219 0 10447403 190275902564 1 10447403 190275902588 3 10447403 190275902786 3 10447403 190275903011 0 10447403 190275903318 1 10447403 190275903004 2 10447403 190275903271 0 10447403 190275902656 3 10447403 190275903370 2 10447403 190275902601 2 10447404 190275903202 0 10447404 190275903295 0 10447404 190275903356 1 10447404 190275903141 2 10447404 190275903158 0 10447404 190275903240 2 10447404 190275903332 1 10447404 190275902977 4 10447404 190275903042 6 10447404 190275903288 2 10447404 190275902908 2 10447404 190275902854 0 I'm learning the ropes of the community here, thanks for the link to the posting guidelines Greg.
- Greg_Deckler
Community Champion
No worries, that's why I created that post!
I believe in your case in playing with your data is that in your table visualization you need to click the little drop down arrow next to your columns in your Values area and set "Don't summarize". Let me know if that works.