cancel
Showing results for
Did you mean:

Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started

Post Prodigy

## Add blank weeks into first week of extract

Hi experts!

I have a weekly archive of our sales data:

 Archival Year-Week Actual Year-Week Value 2023-01 2023-01 50 2023-01 2023-02 60 2023-01 NA 70 2023-02 2023-02 80 2023-03 2023-03 50

As you can see, the actual year-week column is sometimes "NA". If this is the case I would like to put it into the first year-Week for each extract.

For instance, in table above the rows 3 should be added into the 2023-01 bucket with the value 70. > 50+70

How would you do that in dax?

1 ACCEPTED SOLUTION
Community Support

Hi @joshua1990 ,

You could try to add an index.

Create a measure.

``````Measure = var _sum1=CALCULATE(SUM('Table'[Value]),FILTER(ALL('Table'),[Actual Year-Week]="NA"))
var _sum2=SUM('Table'[Value])
return IF(MAX('Table'[Index])=1,_sum1+_sum2,_sum2)``````

Create the below visual, filter out "NA".

Best Regards,

Stephen Tao

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

4 REPLIES 4
Community Support

Hi @joshua1990 ,

You could try to add an index.

Create a measure.

``````Measure = var _sum1=CALCULATE(SUM('Table'[Value]),FILTER(ALL('Table'),[Actual Year-Week]="NA"))
var _sum2=SUM('Table'[Value])
return IF(MAX('Table'[Index])=1,_sum1+_sum2,_sum2)``````

Create the below visual, filter out "NA".

Best Regards,

Stephen Tao

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Post Prodigy
No ideas?
Super User

what do you mean by "with the value 70. > 50+70"?

Post Prodigy

@FreemanZ : Thanks. I mean the value 70 for the 3th row, it should be added into the first bucket. 50+70

Announcements

#### Europe’s largest Microsoft Fabric Community Conference

Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.