This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreLevel up your Power BI skills this month - build one visual each week and tell better stories with data! Get started
Hi,
I have a requirement where I have to rank members based on the weight that they have. Like below image:
How can I calculate the weights and rank them based on that score? Thank you!
Solved! Go to Solution.
Hi @Anonymous ,
Here I create a sample to have a test.
M1 = 5* CALCULATE(SUM('Table'[Value]))M2 = 10* CALCULATE(SUM('Table'[Value]))
...
M5 = 5* CALCULATE(SUM('Table'[Value]))
Create a measure to calculate the rank.
Rank =
VAR _SUMMARIZE =
SUMMARIZE (
ALL ( 'Table' ),
'Table'[Member],
"SUM_MEASURE",
SWITCH ( [Member], "A", [M1] + [M2] + [M3], "B", [M1] + [M2], "C", [M1] + [M5] )
)
VAR _ADDRANK =
ADDCOLUMNS (
_SUMMARIZE,
"RANK", RANKX ( _SUMMARIZE, [SUM_MEASURE],, DESC, DENSE )
)
RETURN
SUMX ( FILTER ( _ADDRANK, [Member] = MAX ( 'Table'[Member] ) ), [RANK] )
Result is as below.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous ,
Here I create a sample to have a test.
M1 = 5* CALCULATE(SUM('Table'[Value]))M2 = 10* CALCULATE(SUM('Table'[Value]))
...
M5 = 5* CALCULATE(SUM('Table'[Value]))
Create a measure to calculate the rank.
Rank =
VAR _SUMMARIZE =
SUMMARIZE (
ALL ( 'Table' ),
'Table'[Member],
"SUM_MEASURE",
SWITCH ( [Member], "A", [M1] + [M2] + [M3], "B", [M1] + [M2], "C", [M1] + [M5] )
)
VAR _ADDRANK =
ADDCOLUMNS (
_SUMMARIZE,
"RANK", RANKX ( _SUMMARIZE, [SUM_MEASURE],, DESC, DENSE )
)
RETURN
SUMX ( FILTER ( _ADDRANK, [Member] = MAX ( 'Table'[Member] ) ), [RANK] )
Result is as below.
Best Regards,
Rico Zhou
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.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 39 | |
| 28 | |
| 28 | |
| 22 | |
| 18 |
| User | Count |
|---|---|
| 67 | |
| 37 | |
| 32 | |
| 26 | |
| 25 |