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Hello,
Is it possible to calculate percentage when MARA-MTART, LOCATIONTYPE and LOCATIONID are the same - like the example below.
So adding an extra column calculating the percentage where the three first columns have the same output.
I hope you can help - thank you! 🙂
Solved! Go to Solution.
Hi @Xilitor01 ,
IF the "Mat Nr Count" is a measure, you can modify M like this.
Best Regards,
Community Support Team _ kalyj
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Xilitor01 ,
According to your description, here's my solution.
M =
VAR _CURRENTDATA =
CALCULATE ( SUM ( 'dummy data'[Mat Nr Count] ) )
VAR _Total =
SUMX (
FILTER (
ALL ( 'dummy data' ),
'dummy data'[MARA-MTART] = MAX ( 'dummy data'[MARA-MTART] )
&& 'dummy data'[LOCATIONTYPE] = MAX ( 'dummy data'[LOCATIONTYPE] )
&& 'dummy data'[LOCATIONID] = MAX ( 'dummy data'[LOCATIONID] )
),
'dummy data'[Mat Nr Count]
)
RETURN
DIVIDE ( _CURRENTDATA, _Total )
Best Regards,
Community Support Team _ kalyj
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
I can see your solutions works perfect on the dummy data - very impressive!
I do have one question as I've made a mistake when I did the dummy pbix file.
The "Mat Nr Count" is a calculated measure:
Hi @Xilitor01 ,
IF the "Mat Nr Count" is a measure, you can modify M like this.
Best Regards,
Community Support Team _ kalyj
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Thank you very much! 🙂
@Xilitor01
Can you try the following Measure:
M =
DIVIDE (
CALCULATE ( DISTINCTCOUNT ( TableName[MatNr] ) ),
SUMX (
ADDCOLUMNS (
CALCULATETABLE (
TableName,
ALLEXCEPT (
TableName,
TableName[MARA-MTART],
TableName[LOCATIONTYPE],
TableName[LOCATIONID]
)
),
"DC", CALCULATE ( DISTINCTCOUNT ( TableName[MatNr] ) )
),
[DC]
)
)
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Hi Fowmy,
Thank you for your response. Unfortunately it doesn't calculate correctly.
The "M" should calculate like "Frequency" in this example as I've put in my filters based on the three first columns:
@Xilitor01
Create a sample Power BI file with dummy data and share the link here. You can save in Google drive.
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