Advance your Data & AI career with 50 days of live learning, dataviz contests, hands-on challenges, study groups & certifications and more!
Get registeredGet Fabric Certified for FREE during Fabric Data Days. Don't miss your chance! Request now
Hi expert,
I use function COUNTX in formula :
Number reference with a gap = COUNTX(FILTER(TABLE,[MEASURE]<>0),[REFERENCE])This formula is then used in a chart.
However, the graph takes a long time to respond.
Is there a DAX formula that would allow me to obtain my result more quickly or another way to do it?
Thanks 🙂
Hi @VahidDM ,
Thanks for your feedback.
Indeed I have a lot of data in my table and I have sensitive data.
I created all my measures in Power BI (they are all measure type columns and not calculated columns).
For this measurement: Number reference with a gap = COUNTX(FILTER(TABLE,[MEASURE]<>0),[REFERENCE])
1. I first created a “cumulative” measure
2. I created another measurement that calculates the distinct reference number.
DISTINCT REFERENCE = DISTINCTCOUNT(REFERENCE)3. I have just created this measure to calculate the measures whose accumulation is different from zero.
I changed DAX formula like this , but time it's no better
COUNTX(summarize(FILTER('TABLE_FACT','TABLE_FACT'[RUNNING_TOTAL]<>0),TABLE_FACT[REFERENCE]),[DISTINCT REFERENCE])
Hi @Juju123
It depends !
How big is your model?
What is the [Measure] expression?
Can you share a sample of your data table (few rows and all columns) if that does not have any sensetive data?
If your table is big, why not to only keep [REFERENCE] with Values using the same filter?
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!
Check out the October 2025 Power BI update to learn about new features.
| User | Count |
|---|---|
| 8 | |
| 6 | |
| 4 | |
| 4 | |
| 4 |
| User | Count |
|---|---|
| 25 | |
| 17 | |
| 8 | |
| 8 | |
| 7 |