Join us for an expert-led overview of the tools and concepts you'll need to pass exam PL-300. The first session starts on June 11th. See you there!
Get registeredPower BI is turning 10! Let’s celebrate together with dataviz contests, interactive sessions, and giveaways. Register now.
Hi All
Before i add the Diff % the table look okay :-
After Adding Diff % , the below table become many row , how to make it only one row ?
Hi @Paulyeo11
Could you tell me if your problem has been solved? If it is, kindly Accept it as the solution. More people will benefit from it. Or you are still confused about it, please provide me with more details about your table and your problem or share me with your pbix file from your Onedrive for Business.
Best Regards,
Rico Zhou
Hi, @Anonymous , the superfluous rows result from measure or column (Diff %) that brings about unwanted, non-blank vlaues. If you attach some sample data, your issue would be way much faster to get pinpointed.
Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
Hi Sir
Hi @Anonymous
Can you show me your data model and what result you want? This may make it easier for me to understand what you want.
LYTD Sales and YTD Sales are Measures, I need to know more about columns in your table, and the calculate logic of your LYTD Sales ,YTD Sales and Variance of Diff%. Diff% is a calculated column and make your first screenshot expand, you may try Max Function to get the Diff% by ((MaxYTD-MaxLYTD)/MaxLYTD).
Or you can share you pbix file with me by your Onedrive for Business.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
81 | |
76 | |
61 | |
37 | |
33 |
User | Count |
---|---|
101 | |
56 | |
51 | |
45 | |
40 |