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Helper II

## IN/OUT calcule

Hello,

I want to calculat the IN and OUT of my stock for 1 week.
I have already try that but it's more complicated than we think.

For exemple I have this table:

 Article Name article Week In Week out 9B Motor 2023-01 2023-03 9D wheel 2023-01 9G drive shaft 2023-01 2023-03 9R Pinion 2023-01 2023-01 9E reserve 2023-01

In this case I want to count all OUT in 2023-03 week and all IN in 2023-03 week. After that I want to calcule CURRENT measure which equals the sum of all IN <= current week less than the sum of all OUT <= current week.
If we take the 2023-01 week we obtain: 5 IN & 1 OUT so CURRENT = 4.
I hope than someone can help me because I block on this problem and I don't find a solution.

Sincerly,

10 REPLIES 10
Frequent Visitor

Yes, I have a week table.

Super User

would you mind providing the sample data for it here?

Frequent Visitor

I want to send the files but I don't know how I can send it ?

Super User
Frequent Visitor

I have add 2 date column in Data table and that is a sample of Date table :

 Date YEAR-WEEK 01/01/202 00:00 2023-01 02/01/2023 00:00 2023-01 03/01/2023 00:00 2023-01 04/01/2023 00:00 2023-01 05/01/2023 00:00 2023-01 06/01/2023 00:00 2023-01 07/01/2023 00:00 2023-01 08/01/2023 00:00 2023-02 09/01/2023 00:00 2023-02 10/01/2023 00:00 2023-02 11/01/2023 00:00 2023-02 12/01/2023 00:00 2023-02 13/01/2023 00:00 2023-02

and this is DAX code :

CALENDARAUTO(),
"YEAR-WEEK", YEAR([Date])&"-"&RIGHT("0"& WEEKNUM([Date]),2))

Super User

Wait what?  Is it Week-in or Date-in in your fact table?

Frequent Visitor

They have week IN and date IN in my fact table I have modified this table to match with my problem. They have two temporal dimension in this table because I must have the Date IN for have the Week IN and the Date OUT for the Week OUT.

The Date IN column are link with my Date table but I don't know if it's good to link with this column ?

Super User

oh yes, it is much better than having to link via the week number. You always want to link at the lowest possible granularity level to avoid M:M relationships.

Helper II

I have find a solution for my problem.

Super User

Do you have a Week table in your data model?

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