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.
Hi all,
I have a very simple table made of two columns:
- Failure modes
- number of occurences
I would like to have an additional column that ranks the number of occurences per failure mode in ascending order, giving the same number of equal values.
Any kind of advice is appreciated
Alessandra
Solved! Go to Solution.
Hi, @alevandenes
I am not sure if I understood your question correctly, but please try something like below.
The formula is for creating a new column.
Hi, My name is Jihwan Kim.
If this post helps, then please consider accept it as the solution to help other members find it faster, and give a big thumbs up.
Linkedin: linkedin.com/in/jihwankim1975/
Twitter: twitter.com/Jihwan_JHKIM
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
Hi, @alevandenes
I am not sure if I understood your question correctly, but please try something like below.
The formula is for creating a new column.
Hi, My name is Jihwan Kim.
If this post helps, then please consider accept it as the solution to help other members find it faster, and give a big thumbs up.
Linkedin: linkedin.com/in/jihwankim1975/
Twitter: twitter.com/Jihwan_JHKIM
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
Hi, very useful. it works just fine, thanks! can I ask you if you know whether this ranking is modifying with refreshing of the dataset?
@alevandenes ,you can create a new column rank
rankx(filter(Table, [Failure modes] = earlier( [Failure modes])),[number of occurences], ,asc,dense)
or
rankx(filter(Table, [Failure modes] = earlier( [Failure modes])),[number of occurences], ,asc,skip)
rankx(filter(Table, [Failure modes] = earlier( [Failure modes])),[number of occurences], ,desc,dense)
For Rank Refer these links
https://radacad.com/how-to-use-rankx-in-dax-part-1-of-3-calculated-columns
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 |
---|---|
105 | |
105 | |
88 | |
73 | |
66 |
User | Count |
---|---|
124 | |
113 | |
98 | |
81 | |
72 |