The ultimate Microsoft Fabric, Power BI, Azure AI, and SQL learning event: Join us in Stockholm, September 24-27, 2024.
Save €200 with code MSCUST on top of early bird pricing!
Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started
Hi Community,
I have a table with the following structure:
| Year | Month | EndOfMonth | Article No. | Stock Amount
The articles do not have a stock quantity in each month. I would now like to write a DAX formula that assigns a rank or index to the month.
For example, if item X has stock quantities in the months of June, August and December, the rank/index should correspond to 1 for June, 2 for August and 3 for December.
Thanks in advance,
Max
Solved! Go to Solution.
Hi,
I am not sure how your desired outcome looks like, but I tried to create a sample pbix file like below.
Please check the below picture and the attached pbix file.
It is for creating a new column, and the result is partitioned by the year and the article number.
I hope the below can provide some ideas on how to create a solution for your semantic model.
ROWNUMBER function (DAX) - DAX | Microsoft Learn
expected result CC =
ROWNUMBER (
Data,
ORDERBY ( Data[EndOfMonth], ASC ),
DEFAULT,
PARTITIONBY ( Data[Year], Data[Article No] ),
MATCHBY ( Data[EndOfMonth], Data[Article No], Data[Year] )
)
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.
Great, worked perfectly. Thank you very much!
Hi,
I am not sure how your desired outcome looks like, but I tried to create a sample pbix file like below.
Please check the below picture and the attached pbix file.
It is for creating a new column, and the result is partitioned by the year and the article number.
I hope the below can provide some ideas on how to create a solution for your semantic model.
ROWNUMBER function (DAX) - DAX | Microsoft Learn
expected result CC =
ROWNUMBER (
Data,
ORDERBY ( Data[EndOfMonth], ASC ),
DEFAULT,
PARTITIONBY ( Data[Year], Data[Article No] ),
MATCHBY ( Data[EndOfMonth], Data[Article No], Data[Year] )
)
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.
Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.
Check out the August 2024 Power BI update to learn about new features.
User | Count |
---|---|
21 | |
20 | |
17 | |
15 | |
13 |
User | Count |
---|---|
42 | |
36 | |
23 | |
22 | |
17 |