Hi All,
Appreciate if you guys can help.
I have created a column 'NewDateTime' from my datetime column to show the date and hour group.
I would like to group by Prodline, Date & Hour. With Actual and Incremental value is from the max value - min value within the hour.
The expected result is like:
You may find the data source file at below link:
https://drive.google.com/file/d/10e__qMyssLSVOEnSfhdRBRG4EG5cIrZ2/view?usp=sharing
I couldnt use power query as Im using direct query, so have to create new column with dax.
Regards.
Jenas
Solved! Go to Solution.
Hi @jenas6423 ,
You could try to use ALLEXCEPT to group data. But for your expected results, I'm a little confused. Do you want to create a "Calculation" column that is grouped by Prodline, Date & Hour? If so, there is no data about Max and Min values in your data source.
I created two measures to calculate actual and incremental values by group. Create calculated columns with Direct Query may change your connection mode from DQ to mix (DQ+Import). So it is best to create measures to implement it.
actual_ = CALCULATE(SUM(data[actual_val]),ALLEXCEPT(data,data[Prodline],data[NewDateTime]))
incremental_val_ = CALCULATE(SUM(data[incremental_val]),ALLEXCEPT(data,data[Prodline],data[NewDateTime]))
Hi @jenas6423 ,
You could try to use ALLEXCEPT to group data. But for your expected results, I'm a little confused. Do you want to create a "Calculation" column that is grouped by Prodline, Date & Hour? If so, there is no data about Max and Min values in your data source.
I created two measures to calculate actual and incremental values by group. Create calculated columns with Direct Query may change your connection mode from DQ to mix (DQ+Import). So it is best to create measures to implement it.
actual_ = CALCULATE(SUM(data[actual_val]),ALLEXCEPT(data,data[Prodline],data[NewDateTime]))
incremental_val_ = CALCULATE(SUM(data[incremental_val]),ALLEXCEPT(data,data[Prodline],data[NewDateTime]))
Hi Xue Ding,
Thank you for your reply. I have already solved the issue. Appreciate.
Regards.
Jenas
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