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## Calculated column with variable periods

Hey everyone!

Faced to the next problem, hope to get a help here.

Here is the question.

I have 2 tables:

- sales

- supplies

As you can see on the picture, product "111" arrives to the store with different intervals and always with different cost prices.

But it sells every day.

So, how to make such calculated column in the table Sales, which would show the actual cost price of the particular product for the every period from and until the moments of the every cost price have been changed?

Any help will be highly appreciated. Thanks a lot!

2 ACCEPTED SOLUTIONS
Super User

create a new column in supplies

supply end Date = minx(filter(supplies,supplies[product id]=earlier(supplies[product id]) && supplies[Supply Date]> earlier(supplies[Supply Date])),supplies[Supply Date])

create a new column in sales

cost = minx(filter(sales,sales[sales_date]>=supplies[Supply Date]
&& (isbalnk(supplies[supply end Date]) || sales[sales_date] <supplies[supply end Date])),supplies[cost for 1 pc])

Appreciate your Kudos. In case, this is the solution you are looking for, mark it as the Solution. In case it does not help, please provide additional information and mark me with @
Thanks. My Recent Blog -
Winner-Topper-on-Map-How-to-Color-States-on-a-Map-with-Winners , HR-Analytics-Active-Employee-Hire-and-Termination-trend
Power-BI-Working-with-Non-Standard-Time-Periods And Comparing-Data-Across-Date-Ranges

Community Support

Hi @D3K ,

We can also create a  calculated column in Sales Table to meet you requeriement:

``````Cost Price for 1 pc =
VAR i = [Product ID]
VAR d = [Sales Date]
RETURN
CALCULATE (
SUM ( 'Supplies'[Cost price for 1 pc] ),
FILTER (
'Supplies',
'Supplies'[Product ID] = i
&& 'Supplies'[Supply Date]
= CALCULATE (
MAX ( 'Supplies'[Supply Date] ),
FILTER (
'Supplies',
'Supplies'[Product ID] = i
&& 'Supplies'[Supply Date] <= d
)
)
)
)``````

Best regards,

Community Support Team _ Dong Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
3 REPLIES 3

Thank you @v-lid-msft  and @amitchandak

Both ways are working perfect!

Community Support

Hi @D3K ,

We can also create a  calculated column in Sales Table to meet you requeriement:

``````Cost Price for 1 pc =
VAR i = [Product ID]
VAR d = [Sales Date]
RETURN
CALCULATE (
SUM ( 'Supplies'[Cost price for 1 pc] ),
FILTER (
'Supplies',
'Supplies'[Product ID] = i
&& 'Supplies'[Supply Date]
= CALCULATE (
MAX ( 'Supplies'[Supply Date] ),
FILTER (
'Supplies',
'Supplies'[Product ID] = i
&& 'Supplies'[Supply Date] <= d
)
)
)
)``````

Best regards,

Community Support Team _ Dong Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Super User

create a new column in supplies

supply end Date = minx(filter(supplies,supplies[product id]=earlier(supplies[product id]) && supplies[Supply Date]> earlier(supplies[Supply Date])),supplies[Supply Date])

create a new column in sales

cost = minx(filter(sales,sales[sales_date]>=supplies[Supply Date]
&& (isbalnk(supplies[supply end Date]) || sales[sales_date] <supplies[supply end Date])),supplies[cost for 1 pc])

Appreciate your Kudos. In case, this is the solution you are looking for, mark it as the Solution. In case it does not help, please provide additional information and mark me with @
Thanks. My Recent Blog -
Winner-Topper-on-Map-How-to-Color-States-on-a-Map-with-Winners , HR-Analytics-Active-Employee-Hire-and-Termination-trend
Power-BI-Working-with-Non-Standard-Time-Periods And Comparing-Data-Across-Date-Ranges

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