Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Hi All,
I am trying to use CalculateTable DAX but getting following error
"The expression refers to multiple columns. Multiple columns cannot be converted to a scalar value."
Can Anyone tell me where I am doing wrong.
Thanks...
Solved! Go to Solution.
Hi @community_pinki ,
According to your description,
1. If you want to filter a table by a measure,you may try:
Measure = IF(MAX('Table'[Column]) <= 73, 1,0)
And then apply it to visual-level filter ,set as "is 1" as shown below:
2. If you want to return a calculated table, you could try:
New table = FILTER('Table',[Column]<=73)
3. Just use visual-level filter——is less than or equal to:
Best Regards,
Eyelyn Qin
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @community_pinki ,
According to your description,
1. If you want to filter a table by a measure,you may try:
Measure = IF(MAX('Table'[Column]) <= 73, 1,0)
And then apply it to visual-level filter ,set as "is 1" as shown below:
2. If you want to return a calculated table, you could try:
New table = FILTER('Table',[Column]<=73)
3. Just use visual-level filter——is less than or equal to:
Best Regards,
Eyelyn Qin
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
@community_pinki , Create a new table not measure. Calculatetable returns a table
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 |
---|---|
72 | |
71 | |
58 | |
38 | |
36 |
User | Count |
---|---|
83 | |
67 | |
62 | |
46 | |
45 |