Calculate the average value of orders containing products from the selected table

[Faustyna]

Hello!

I have two tables:
- orders,
- promotion - consists of promotion id, product id, start date, end date

I would like to calculate the average value of baskets that contained products from promotions.

I was trying to write the following measure and add its to column promotion id but it doesn't work:(

test avg =

VAR products=DISTINCT('PROMOTOION'[ProductId])

VAR keys=

SUMMARIZE (

FILTER(

            Orders,

            Orders[ProductId] IN

            products

            ),

Orders[OrderKey]

)

RETURN

CALCULATE([Orders_Avg_Net_Value], filter(Orders, Orders[OrderKey] IN keys))

[Anonymous]

Hi @Faustyna ,

Please try this:

test avg =
VAR products =
    VALUES ( 'PROMOTION'[ProductId] )
VAR keys =
    SUMMARIZE (
        FILTER ( 'Orders', 'Orders'[ProductId] IN products ),
        'Orders'[OrderKey]
    )
RETURN
    CALCULATE ( [Orders_Avg_Net_Value], 'Orders'[OrderKey] IN keys )

 If that doesn't work, consider releasing some non-private data as well as the expected outputs.
How to provide sample data in the Power BI Forum

Best Regards,
Gao
Community Support Team

If there is any post helps, then please consider Accept it as the solution  to help the other members find it more quickly.
If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!

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