Forum Discussion
Possible Bucketing
Hello everyone,
I have a simple measure that calculates the % of losses that I have: [% losses] = Divide ( loss, allquantity)
What I'm trying to figure out is a way to filter that measure, [%losses], given certain criteria.
Example: which is the total [%losses] when considering values that are less than 5%, 10% and so on, like its shows in the following graph:
I thought this was a case of dynamic sgmentation/bucketing but i cant seem to make it work.
Any ideas?
Thanks
Hi Kebas_Leech ,
I suggest you to create a Percentage table to help your calculation.
Percentage = GENERATESERIES(0,1,0.05)Measure:
Measure = CALCULATE(DISTINCTCOUNT('Table'[ID]),FILTER('Table',[% losses]<=MAX(Percentage[Percentage])))Result is as below.
Best Regards,
Rico ZhouIf this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
3 Replies
Please provide sample data (with sensitive information removed) that covers your issue or question completely, in a usable format (not as a screenshot). Leave out anything not related to the issue.
If you are unsure how to do that please refer to https://community.fabric.microsoft.com/t5/Community-Blog/How-to-provide-sample-data-in-the-Power-BI-Forum/ba-p/963216
Please show the expected outcome based on the sample data you provided.
If you want to get answers faster please refer to https://community.fabric.microsoft.com/t5/Desktop/How-to-Get-Your-Question-Answered-Quickly/m-p/1447523Hi Kebas_Leech ,
I suggest you to create a Percentage table to help your calculation.
Percentage = GENERATESERIES(0,1,0.05)Measure:
Measure = CALCULATE(DISTINCTCOUNT('Table'[ID]),FILTER('Table',[% losses]<=MAX(Percentage[Percentage])))Result is as below.
Best Regards,
Rico ZhouIf this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hello Anonymous
First of all, I want to personally thank you for using your time to help me.
It worked, I made some adjustments but overall, what was missing was the generateseries.
Thanks again.
Kindly
