Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
Learn moreJoin the FabCon + SQLCon recap series. Up next: Power BI, Real-Time Intelligence, IQ and AI, and Data Factory take center stage. All sessions are available on-demand after the live show. Register now
hi all experts,
i have this following DAX:
Solved! Go to Solution.
hi @rohit_singh here is the sample. in the filter you can see that ther are 13 blank and 7083 empty. when i cross checked this in postgresql i saw that powerbi shows the percent for empty cells when using blank() and not the percent for null values.
but there is a solution for this that i got with following dax:
One hack that might help is appending a blank text string to your [ind_city] column with &""
rather than needing to check for length you could check for [ind_city]&""=""
Hi @rdvasisht ,
Please try chaning the measure to this :
Input
Output
Kind regards,
Rohit
Please mark this answer as the solution if it resolves your issue.
Appreciate your kudos!
hi @rohit_singh thanks for looking into this. for some reasons i have null values (1000) and empty values(6000) so if i use blank in DAX then it gives me percent of blank values and ignores the 6000 cells ( not sure why). that is why i needed to use len in the measure. or may be is there a workaround for this. i tried to use isempty() which ddi not work.
Hi @rdvasisht ,
Could you share a sample of your data? Especially the null and empty values if possible,
Kind regards,
Rohit
hi @rohit_singh here is the sample. in the filter you can see that ther are 13 blank and 7083 empty. when i cross checked this in postgresql i saw that powerbi shows the percent for empty cells when using blank() and not the percent for null values.
but there is a solution for this that i got with following dax:
Happy to hear you were able to get the intended result @rdvasisht . Kindly mark your answer as the accepted solution for this post to help others as well.
Check out the April 2026 Power BI update to learn about new features.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
| User | Count |
|---|---|
| 48 | |
| 46 | |
| 41 | |
| 20 | |
| 17 |
| User | Count |
|---|---|
| 70 | |
| 69 | |
| 32 | |
| 27 | |
| 26 |