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I'm working with a dataset in DAX where I encounter repeating values labeled as "nominal" and "opening" for each combination of date and wonumber. My objective is to sum the quantities for each date and wonumber. However, I need to adjust this sum by considering only one occurrence of either "nominal" or "opening" in each date and wonumber combination.
Could someone assist me with the DAX formula needed to sum the quantities per date and wonumber, and then divide this sum by the count of unique occurrences of "nominal" and "opening" for each date and wonumber combination?
Example illustrating the shape of the data and the calculation :
Any help would be greatly appreciated!
Solved! Go to Solution.
Hi @Lazurens ,
I created a sample pbix file(see the attachment), please check if that is what you want.
Result =
VAR _tab =
SUMMARIZE (
'Table',
'Table'[Date production],
'Table'[Wnum],
'Table'[Nominal],
'Table'[Opening],
"@sumofqty", SUM ( 'Table'[Quantity] )
)
VAR _qty =
SUMX ( _tab, [@sumofqty] )
VAR _nominal =
MAXX ( _tab, [Nominal] )
VAR _opening =
MAXX ( _tab, [Opening] )
RETURN
_qty / DIVIDE ( _opening, 3600 ) * _nominal
Best Regards
Hi @Lazurens ,
I created a sample pbix file(see the attachment), please check if that is what you want.
Result =
VAR _tab =
SUMMARIZE (
'Table',
'Table'[Date production],
'Table'[Wnum],
'Table'[Nominal],
'Table'[Opening],
"@sumofqty", SUM ( 'Table'[Quantity] )
)
VAR _qty =
SUMX ( _tab, [@sumofqty] )
VAR _nominal =
MAXX ( _tab, [Nominal] )
VAR _opening =
MAXX ( _tab, [Opening] )
RETURN
_qty / DIVIDE ( _opening, 3600 ) * _nominal
Best Regards
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