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Hi, team!
I'd like to know how to idenfity minimum value in the same row.
Below is detail.
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<What I'd like to know>
How to identify minimum value among Year 2015-Year 2021 by each "Products" in the same table named "Sales" as following.
<Output image>
Column "Minimum value" and "Minimum year" are output I'd like to get
<Background>
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Solved! Go to Solution.
Hi,
I suggest unpivotting it in Power Query Editor.
Or, if Power Query Editor is not reachable, try creating a virtual tables those contain two columns (Product column and one of Year columns) inside a DAX measure, and then union all of them. And then MIN dax function can be possible used.
Thanks.
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.
@Jihwan_Kim
Thank you for your prompt help!
@taimaizumi wrote:Hi, team!
I'd like to know how to idenfity minimum value in the same row.
Below is detail.
------------------------------------------------------------
<What I'd like to know>How to identify minimum value among Year 2015-Year 2021 by each "Products" in the same table named "Sales" as following.
<Output image>
Column "Minimum value" and "Minimum year" are output I'd like to get
<Background>
- Function "min" need "Column" , so I could'nt use this function in such situation
- I reseached the function which can compare scalar of each argument, but I couldn't get it
------------------------------------------------------------
-->I understand your comment. Normally, it's impossible to compare and get minimum value for same record.
Hi,
I suggest unpivotting it in Power Query Editor.
Or, if Power Query Editor is not reachable, try creating a virtual tables those contain two columns (Product column and one of Year columns) inside a DAX measure, and then union all of them. And then MIN dax function can be possible used.
Thanks.
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.
Starting December 3, join live sessions with database experts and the Fabric product team to learn just how easy it is to get started.
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