Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Get certified in Microsoft Fabric—for free! For a limited time, the Microsoft Fabric Community team will be offering free DP-600 exam vouchers. Prepare now

Reply
kjl72
Frequent Visitor

Need a DAX measure that combines the distinct and non-distinct attributes of a table

Hello PBI Community.

 

I am having difficulty creating a DAX measure that combines s the following distinct and non-distinct attributes within the same Matrix:

 

  1. Counts the distinct Purchase Orders ([PO#]) within my table ('020_BOS') presented as following:
    1. Row Subtotals = Order Status ([Order_Status])
      1. Shipped
      2. Deleted
      3. Swap Doc
    2. Column Subtotals = On Time Fulfillment ([OTF])
      1. Pass
      2. Fail
  2. For the non-distinct Purchase Orders ([PO#]) within my table ('020_BOS'), only counts/includes the attributes of the first Shipment ID# ([SID#]) assigned sequentially to the PO#.

 

kjl72_2-1674850820960.png  

kjl72_3-1674850837445.png

 

In my table ('020_BOS') :

  1. There are a total of 10,668 Purchase Orders.
  2. 10,660 of the PO#'s are distinct (with a single SID#) whereas 8 are non-distinct (with two SID#'s).

kjl72_4-1674851042483.png

 

I need both my matrix's subtotal and total counts to equal 10,664 – which reflects the attributes of the 10,660 distinct PO's combined with the attributes of the first [SID#] for the 4, non-distinct PO's.

 

My DESIRED MATRIX is as follows with both subtotals and totals reflecting 10,664 Purchase Orders:

kjl72_8-1674851510904.png

 

The Original Matrix (using the implicit "Count" option for PO#) is as follows:

kjl72_7-1674851475339.png

 

The Original Matrix (using implicit "Count (Distinct)" option for PO#) is as follows:

kjl72_9-1674851580324.png

 

NOTES:

  1. The "Desired Matrix" above was created using an inefficient, non-DAX approach where I duplicated tables, identified "unique" PO#'s, then merged results back to my original table.  Unfortunately, my data set is much too large for this approach.
  2. If I had a Dollar ($) for every incorrect version of SUMX, HASONEVALUE, & VAR formula I have attempted thus far... I would be a wealthy individual!  🙂

  Examples:

  1. OTF_DC1 = SUMX(SUMMARIZE('020_BOS','020_BOS'[OTF],'020_BOS'[Order_Status],"_1",CALCULATE(DISTINCTCOUNT('020_BOS'[PO#]))),[_1])  
  2. OTF_DC2 = IF(HASONEVALUE('020_BOS'[OTF]),COUNT('020_BOS'[PO#]),BLANK())
  3. kjl72_10-1674851983397.png

Thanks in advance for any assistance, advice, or insights you could offer.

 
 
1 ACCEPTED SOLUTION
AllisonKennedy
Super User
Super User

@kjl72 

Basically, you're wanting to only view the first shipment values; there's a few ways you could do this. 

 

If you're wanting a DAX only approach, try this where you define your variables within the COUNTROWS function:

 

First SID Count =
COUNTROWS(
    FILTER(
        CtrlShiftL,
        VAR _PO = CtrlShiftL[PO#]
        VAR _FirstSID =
        MINX(
            FILTER(
                ALL(CtrlShiftL),
                CtrlShiftL[PO#] = _PO
            ),
            CtrlShiftL[SID#]
        )
        RETURN
        CtrlShiftL[SID#] = _FirstSID
    )
)
 
AllisonKennedy_0-1674858148621.png

 


Please @mention me in your reply if you want a response.

Copying DAX from this post? Click here for a hack to quickly replace it with your own table names

Has this post solved your problem? Please Accept as Solution so that others can find it quickly and to let the community know your problem has been solved.
If you found this post helpful, please give Kudos C

I work as a Microsoft trainer and consultant, specialising in Power BI and Power Query.
www.excelwithallison.com

View solution in original post

2 REPLIES 2
AllisonKennedy
Super User
Super User

@kjl72 

Basically, you're wanting to only view the first shipment values; there's a few ways you could do this. 

 

If you're wanting a DAX only approach, try this where you define your variables within the COUNTROWS function:

 

First SID Count =
COUNTROWS(
    FILTER(
        CtrlShiftL,
        VAR _PO = CtrlShiftL[PO#]
        VAR _FirstSID =
        MINX(
            FILTER(
                ALL(CtrlShiftL),
                CtrlShiftL[PO#] = _PO
            ),
            CtrlShiftL[SID#]
        )
        RETURN
        CtrlShiftL[SID#] = _FirstSID
    )
)
 
AllisonKennedy_0-1674858148621.png

 


Please @mention me in your reply if you want a response.

Copying DAX from this post? Click here for a hack to quickly replace it with your own table names

Has this post solved your problem? Please Accept as Solution so that others can find it quickly and to let the community know your problem has been solved.
If you found this post helpful, please give Kudos C

I work as a Microsoft trainer and consultant, specialising in Power BI and Power Query.
www.excelwithallison.com

Thank you so much Allison... your code gave me precisely what I was seeking!!

 

As of today, you are officially my hero.  🙂

Helpful resources

Announcements
OCT PBI Update Carousel

Power BI Monthly Update - October 2024

Check out the October 2024 Power BI update to learn about new features.

September Hackathon Carousel

Microsoft Fabric & AI Learning Hackathon

Learn from experts, get hands-on experience, and win awesome prizes.

October NL Carousel

Fabric Community Update - October 2024

Find out what's new and trending in the Fabric Community.