Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
I am having trouble using the RANKX function. I have two tables. One is a table with inventory values that contains the measure INV $ (The measure is just a sum of the inventory $ column). The other is a dimensional table containing the item numbers and other descriptive information about each item we sell. These two tables are joined on an item key.
I have a table in Power BI that shows the measure INV $ grouped by Item Family. I have shown a sample table below.
Family INV $ Rank
Family 1 $1,000,000 1
Family 2 $998,000 2
Family 3 $997,000 3
Family 4 $996,000 3
Family 5 $995,000 5
Family 6 $994,000 5
The formula I am using is
Rank = RANKX(ALLSELECTED('Dim Item'[Family]), [INV $],,DESC,Dense)
For some reason, it is duplicating ranks for families that clearly have different values for INV $. I know this may be hard without seeing the actual data and file, but does anyone have any idea what I am doing wrong?
Thanks!
For those having this issue I was able to solve it with the below formula:
[Rank] :=
IF (
HASONEVALUE ( 'Dim Item'[Family] ),
RANKX(ALLSELECTED('Dim Item'[Family]), [INV $],,DESC,Dense)
)
I have no clue why IF HASONEVALUE made the difference however, I've posted the question to the original site:
https://www.sqlbi.com/articles/use-of-rankx-in-power-bi-measures/
Has there been any solution to this issue? I am also experience the same problem with RANKX.
I have the same issue, please help
Hi @rhouse,
Could you try the formula below to see if it works?
Rank = RANKX ( ALL ( 'Dim Item' ), [INV $],, DESC, DENSE )
Regards
Hi @rhouse,
Could you post your table structures(including table relationships) with some sample data, so that we can help further investigate on this issue? It's better that you can also share a sample pbix file if possible. You can upload it to OneDrive or Dropbox and post the link here. Do mask sensitive data before uploading.
Regards
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
113 | |
99 | |
80 | |
70 | |
59 |
User | Count |
---|---|
149 | |
114 | |
107 | |
89 | |
67 |