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Greetings to one and all.
I've got a situation where I've got a measure to calculate factor / population * observations (w/n*o)
This is perfect when I have area by age group (left hand visual)....
But if I drop out the age group then the measure calculates based on the totals but ignores the factor so the figures are slightly out. Each age group has a percentage factor and these 2 age groups are 5.5% and 6% so the difference in this situation is subtle.
Instead of getting the measure to recalculate I essentially need to get the rows to add up correctly
ie Area 1 should be 19; Area 3 should be 14 etc etc.
Any help would be appreciated. My DAX is mediocre.
Thanks
Solved! Go to Solution.
@saj try this:
New Measure = SUMX ( VALUES ( YourTable[AgeGroupColumn] ), [YourExistingMeasure] )
use the above measure in your visual instead of the one you are using right now and it should work.
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@parry2k awesome....
Thanks for that, that's the trick. Now to really get my head around what it's doing.
It feels like a sum of a sum but grouped by the age group.
Ka pow....
Thanks again.
@saj try this:
New Measure = SUMX ( VALUES ( YourTable[AgeGroupColumn] ), [YourExistingMeasure] )
use the above measure in your visual instead of the one you are using right now and it should work.
✨ Follow us on LinkedIn
Learn about conditional formatting at Microsoft Reactor
My latest blog post The Power of Using Calculation Groups with Inactive Relationships (Part 1) (perytus.com) I would ❤ Kudos if my solution helped. 👉 If you can spend time posting the question, you can also make efforts to give Kudos to whoever helped to solve your problem. It is a token of appreciation!
⚡ Visit us at https://perytus.com, your one-stop-shop for Power BI-related projects/training/consultancy.⚡
Subscribe to the @PowerBIHowTo YT channel for an upcoming video on List and Record functions in Power Query!!
Learn Power BI and Fabric - subscribe to our YT channel - Click here: @PowerBIHowTo
If my solution proved useful, I'd be delighted to receive Kudos. When you put effort into asking a question, it's equally thoughtful to acknowledge and give Kudos to the individual who helped you solve the problem. It's a small gesture that shows appreciation and encouragement! ❤
Did I answer your question? Mark my post as a solution. Proud to be a Super User! Appreciate your Kudos 🙂
Feel free to email me with any of your BI needs.
@saj ,Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.
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