Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreWe'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
Hi,
This is a very simple thing but I cant seem to get to the bottom of it.
I need to create a measure that gives me the count distinct by a grouping.
For example
TableA
Group Attributes
1 A
1 B
2 C
2 C
3 D
So the measure should say,
Group Attributes Measure (distinct values)
1 A 2
1 B 2
2 C 1
2 C 1
3 D 1
So not that dissimilar to what a count distinct and group by clause would do in SQL.
Thanks a bunch!
Solved! Go to Solution.
@Majad_Chowdhury , Try a measure
calculate(distinctcount(Table[Attributes]), filter(allselected(Table), Table[Group] = max(Table[Group] ) ) )
@Majad_Chowdhury try this
Measure2 =
CALCULATE (
COUNTX ( SUMMARIZE ( t2, t2[Group], t2[Attribute] ), t2[Group] ),
ALLEXCEPT ( t2, t2[Group] )
)
Measure3 =
CALCULATE (
SUMX ( VALUES ( t2[Group] ), CALCULATE ( DISTINCTCOUNT ( t2[Attribute] ) ) ),
ALLEXCEPT ( t2, t2[Group] )
)
nothing wrong with @amitchandak 's solution. But for large tables I find ALLSELECTED not to be performant and I would only use that where it can't be avoided.
@smpa01 Is there a reason for the iterators rather than writing this?
CALCULATE ( DISTINCTCOUNT ( t2[Attributes] ), ALLEXCEPT ( t2, t2[Group] ) )
@AlexisOlson great..skipped my mind.
@Majad_Chowdhury , Try a measure
calculate(distinctcount(Table[Attributes]), filter(allselected(Table), Table[Group] = max(Table[Group] ) ) )
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 |
|---|---|
| 53 | |
| 37 | |
| 35 | |
| 19 | |
| 17 |
| User | Count |
|---|---|
| 74 | |
| 70 | |
| 39 | |
| 35 | |
| 23 |