The ultimate Microsoft Fabric, Power BI, Azure AI, and SQL learning event: Join us in Stockholm, September 24-27, 2024.
Save €200 with code MSCUST on top of early bird pricing!
Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started
Hi,
I have a simple table like this:
ID | Cat |
1 | A |
2 | A |
3 | B |
4 | C |
5 | D |
6 | D |
I want to only view the ID's where Cat is double or more in a table, by using a measure as filter on a table.
The result should look like this:
ID | Cat | Msr |
1 | A | 1 |
2 | A | 1 |
3 | B | 0 |
4 | C | 0 |
5 | D | 1 |
6 | D | 1 |
The following DAX shows the correct COUNT (in total 4 ID's), but when placed on a table, the table is entirely empty. It does not show 1's or 0's per row:
COUNTX(
SUMMARIZE(
NATURALINNERJOIN( --With this JOIN I get back to the Table[ID] level
--This is important because that's the level I want the 1's and 0's to be working.
FILTER(
--Here I get all the Table[Cat] that have been used multiple times.
SUMMARIZE(Table, Table[Cat], "IDs", COUNT(Table[ID]))
,[IDs] > 1
)
,SUMMARIZE(Table, Table[Cat], Klant[ID])
)
,Table[ID]
), 1
)
When I drag this into the example table, the entire table is BLANK.
If I remove the NATURALJOIN and remove the Table[ID] column, it does show me the 1's and 0's, but this is on the level of Table[Cat], I want this to work at the level of Table[ID].
I need a measure instead of a calculated column in this model.
Does anyone have any suggestion how to tackle this?
Kind regards,
Igor
Solved! Go to Solution.
Hi @Titatovenaar2 ,
According to your description, here are my steps you can follow as a solution.
(1) My test data is the same as yours.
(2) We can create a measure.
Measure =
var _Cat = CALCULATE(COUNT('Table'[Cat]),ALLEXCEPT('Table','Table'[Cat]))
return
IF(_Cat > 1,1,0)
(3) Then the result is as follows.
Best Regards,
Neeko Tang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Titatovenaar2 ,
According to your description, here are my steps you can follow as a solution.
(1) My test data is the same as yours.
(2) We can create a measure.
Measure =
var _Cat = CALCULATE(COUNT('Table'[Cat]),ALLEXCEPT('Table','Table'[Cat]))
return
IF(_Cat > 1,1,0)
(3) Then the result is as follows.
Best Regards,
Neeko Tang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Works perfect and fast, thanks!
Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.
Check out the August 2024 Power BI update to learn about new features.
User | Count |
---|---|
109 | |
78 | |
70 | |
52 | |
50 |
User | Count |
---|---|
123 | |
119 | |
76 | |
64 | |
60 |