We've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
I am a newbie to PBI. I do use Tableau.
I use the following calculation to count the number of xyz records in xyz_total that have a score = or > 38. I use Distinctcount on the Record id because the file is pivoted (Record Id is a unique identifier)
Solved! Go to Solution.
Hi @MalcolmR,
You can use the BLANK() function in DAX along with the operator "==" which is strictly blank, which will ignore the 0s in your column and count the blanks.
You can use it in the another measure changing the condition in the filter argument of calculate.
Here is a link explaining the BLANK() function.
Hope this helps.
Thank you,
Vishesh Jain
Proud to be a Super User!
Hi @MalcolmR,
You can use the BLANK() os ISBLANK() functions in DAX, this will igore the 0s in your column and count the blanks.
You can use it in the another measure changing the condition in the filter argument of calculate.
Here is a link explaining the BLANK() function.
Hope this helps.
Thank you,
Vishesh Jain
Proud to be a Super User!
Hi @MalcolmR,
You can use the BLANK() function in DAX along with the operator "==" which is strictly blank, which will ignore the 0s in your column and count the blanks.
You can use it in the another measure changing the condition in the filter argument of calculate.
Here is a link explaining the BLANK() function.
Hope this helps.
Thank you,
Vishesh Jain
Proud to be a Super User!
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.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 57 | |
| 38 | |
| 33 | |
| 19 | |
| 16 |
| User | Count |
|---|---|
| 67 | |
| 66 | |
| 40 | |
| 34 | |
| 25 |