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Hi there,
I need to calculate the following:
I have two tables (no relationship available):
[Table_Percentage] - Not all ProductId available as Reference
[Table_Sales]
What I want to achieve
Selection Datatype B:
Question
I want to calculate the SalesAmount% on the ProductIdDate level and need to apply a percentage from the "Table_Percentage" where both ProductIdDate levels match. If not null will be the result.
On the aggregation level I need a strict sum of alle items calculated at the ProductIdDate level.
The inital calculation can be something like this:
SUMX(
VALUES('Table_Sales'[ProductIdDate]),
SUM('Table_Sales'[SalesAmount]) *
[LookUpValue of 'Table_Percentage']
)
This is what I am looking for:
[LookUpValue of 'Table_Percentage']
Can anybody help?
Thx in advance
Solved! Go to Solution.
Hey @Axel_hnk ,
sure, you can use variables within the SUMX function and filter the percentage table accordingly.
The following measure should produce the result you want:
SalesAmount corrected =
SUMX (
Table_Sales,
VAR vProductCurrentRow = Table_Sales[ProductId]
VAR vDatekeySoMCurrentRow = Table_Sales[DatekeySoM]
VAR vProductIdDate = Table_Sales[ProductIdDate]
RETURN
Table_Sales[SalesAmount]
* CALCULATE (
MAX ( Table_Percentage[Percentage] ),
Table_Percentage[ProductID] = vProductCurrentRow,
Table_Percentage[DatekeySoM] = vDatekeySoMCurrentRow,
Table_Sales[ProductIdDate] = vProductIdDate
)
)
And here is the result:
And with datatype B:
Please find my example file attached.
If you need any help please let me know.
If I answered your question I would be happy if you could mark my post as a solution ✔️ and give it a thumbs up 👍
Best regards
Denis
Blog: WhatTheFact.bi
Follow me: twitter.com/DenSelimovic
Hi @Axel_hnk ,
Has your problem been solved, if so, please consider Accept a correct reply as the solution or share your own solution to help others find it.
Best Regards
Lucien
Hey @Axel_hnk ,
sure, you can use variables within the SUMX function and filter the percentage table accordingly.
The following measure should produce the result you want:
SalesAmount corrected =
SUMX (
Table_Sales,
VAR vProductCurrentRow = Table_Sales[ProductId]
VAR vDatekeySoMCurrentRow = Table_Sales[DatekeySoM]
VAR vProductIdDate = Table_Sales[ProductIdDate]
RETURN
Table_Sales[SalesAmount]
* CALCULATE (
MAX ( Table_Percentage[Percentage] ),
Table_Percentage[ProductID] = vProductCurrentRow,
Table_Percentage[DatekeySoM] = vDatekeySoMCurrentRow,
Table_Sales[ProductIdDate] = vProductIdDate
)
)
And here is the result:
And with datatype B:
Please find my example file attached.
If you need any help please let me know.
If I answered your question I would be happy if you could mark my post as a solution ✔️ and give it a thumbs up 👍
Best regards
Denis
Blog: WhatTheFact.bi
Follow me: twitter.com/DenSelimovic
Hi Denis,
thanks for your solution.
In order to make it work in my case I needed to tweak the code a little:
SalesAmount corrected =
SUMX (
Table_Sales,
VAR vProductCurrentRow = Table_Sales[ProductId]
VAR vDatekeySoMCurrentRow = Table_Sales[DatekeySoM]
RETURN
Table_Sales[SalesAmount]
* CALCULATE (
MAX ( Table_Percentage[Percentage] ),
Filter(
Table_Percentage,
Table_Percentage[ProductID] = vProductCurrentRow &&
Table_Percentage[DatekeySoM] = vDatekeySoMCurrentRow
)
)
)
@Axel_hnk - what if you add a column to [Table_Sales] to lookup the % from the other table?
Something like LOOKUPVALUE('Table_Percentage','Table_Percentage'[PorductIDDate],'Table_Sales'[PorductIDDate],"0%")
You can then add a measure to work out the Sum?
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