Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by watching the DP-600 session on-demand now through April 28th.
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
I have a table of purchases.
Each row is a purchase with an unique ID and a ClientID.
Each client can have multiple purchases.
I want to group based on how much each client spent.
Lets say I want 5 groups:
0-100€
100-200€
200-500€
500-1000€
> 1000 €
Any help on the correct approach?
Solved! Go to Solution.
Hi @PDRTXRA ,
According to your description, here's my solution.
Sample:
Create a measure:
Measure =
VAR _SUM =
SUM ( 'Table'[Purchase] )
RETURN
SWITCH (
TRUE,
_SUM > 0
&& _SUM <= 100, "0-100€",
_SUM > 100
&& _SUM <= 200, "100-200€",
_SUM > 200
&& _SUM <= 500, "200-500€",
_SUM > 500
&& _SUM <= 1000, "500-1000€",
_SUM > 1000, ">1000€"
)
Get the correct result:
I attach my sample below for your reference.
Best regards,
Community Support Team_yanjiang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @PDRTXRA ,
According to your description, here's my solution.
Sample:
Create a measure:
Measure =
VAR _SUM =
SUM ( 'Table'[Purchase] )
RETURN
SWITCH (
TRUE,
_SUM > 0
&& _SUM <= 100, "0-100€",
_SUM > 100
&& _SUM <= 200, "100-200€",
_SUM > 200
&& _SUM <= 500, "200-500€",
_SUM > 500
&& _SUM <= 1000, "500-1000€",
_SUM > 1000, ">1000€"
)
Get the correct result:
I attach my sample below for your reference.
Best regards,
Community Support Team_yanjiang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
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 |
|---|---|
| 45 | |
| 38 | |
| 34 | |
| 21 | |
| 17 |
| User | Count |
|---|---|
| 66 | |
| 64 | |
| 31 | |
| 26 | |
| 26 |