Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Sign up nowGet Fabric certified for FREE! Don't miss your chance! Learn more
Hi
I was wondering if someone could help me.
I want to create a measure that will work based on the following conditions:
I want it to show the top 4 Highest Performers and filter out everyone else. However I also want it to include a Unique Person in the Ranking. This person no matter what their score is will always be ranked as Number 4 unless they are ranked higher.
For Example
Department A:
Name Rank Score
Joe 1 9
Jen 2 5
Ben 3 4
Unique ID 4 2
OR
Department A:
Name Rank Score
Joe 1 10
Unique ID 2 7
Ben 3 4
Jen 4 1
I have the following columns:
Department
Name
Score
Thanks in advance for the help.
Solved! Go to Solution.
Since you always want to include that specific person in "the four", you need to exclude that person in the dataset and rank the top 3 first, then UNION that person together.
Regards,
According to your description, you actually want to filter out top 3 performer and 1 specific Person, RANK all 4 people. Right?
In this scenario, you can use TOPN() function to create a calculated table with the 3 best performers. Then use "Union Query" in Query Editor to combine a dataset with that specific person record only. Now you can create a calculated column to RANK all 4 people.
Regards,
Hi @v-sihou-msft,
Thanks for your response.
I already have the specific person within the data set. Do I still need to follow the process you recommended or can I just use the TOPN() function?
Thanks,
Since you always want to include that specific person in "the four", you need to exclude that person in the dataset and rank the top 3 first, then UNION that person together.
Regards,
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 62 | |
| 62 | |
| 42 | |
| 21 | |
| 18 |
| User | Count |
|---|---|
| 120 | |
| 105 | |
| 38 | |
| 29 | |
| 28 |