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 Everyone,
I am trying to rank my order code data by the Avg. Xyz using the below DAX Formula. However when the I return the results I am seeing duplicate rank values (example below). Any suggestion on how to eliminate this issue?
Ranking = RANKX(
ALLSELECTED(detail),
CALCULATE(SUM(detail[avg_xyz])),
,DESC,Skip
)
Solved! Go to Solution.
Hi @Suman8877
You’re seeing duplicate ranks because RANKX is giving the same rank when two values are equal. By default you used Skip, which leaves gaps. You have two options:
Ranking =
RANKX (
ALLSELECTED ( detail[OrderCode] ),
CALCULATE ( SUM ( detail[avg_xyz] ) ),
,
DESC,
DENSE
)
HI @Suman8877 ,
The issue of duplicate rank values in RANKX typically happens because the ranking expression returns the same result for multiple items, causing ties.
Your current formula:
Ranking = RANKX(
ALLSELECTED(detail),
CALCULATE(SUM(detail[avg_xyz])),
,
DESC,
Skip
)
returns the same rank for items with identical sums, which is expected with the Skip option since it skips rank numbers for ties but doesn't differentiate tied values.
Use DENSE ranking instead of SKIP if you want consecutive ranking but still handle ties:
Ranking = RANKX(
ALLSELECTED(detail),
CALCULATE(SUM(detail[avg_xyz])),
,
DESC,
Dense
)
This won't create unique ranks but avoids gaps/skips in ranks.
Please mark this post as solution if it helps you. Appreciate Kudos.
Hi @Suman8877
You’re seeing duplicate ranks because RANKX is giving the same rank when two values are equal. By default you used Skip, which leaves gaps. You have two options:
Ranking =
RANKX (
ALLSELECTED ( detail[OrderCode] ),
CALCULATE ( SUM ( detail[avg_xyz] ) ),
,
DESC,
DENSE
)
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 |
|---|---|
| 9 | |
| 8 | |
| 3 | |
| 2 | |
| 2 |
| User | Count |
|---|---|
| 23 | |
| 14 | |
| 10 | |
| 6 | |
| 5 |