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Nelson-Mwangi
New Contributor II

DAX measure to Calculate Distinct count for first-time listing for the selected period.

I need your help with a DAX measure to generate a count of distinct first-time listing each brand for the selected period.

 

My data model is in Power Pivot(I will appreciate a measure that will work in PowerBi & PowerPivot), and when I create a table with Month Name on the columns, each outlet should only be counted once (First time purchase) which is captured on the 'Listing Date" column.

The total rows and columns should reflect the overall distinct count.

The code in the image attached works (got help from Copilot), but I was wondering if there is an alternative that’s easier to follow. 

The relationship between the calendar table and Document Listing table is on "Date' column while the first listing date is on the listing date column.

I'm open to all solutions including the possibility of achieving the result with the date column.

Thank you.

image.pngimage.png

8 REPLIES 8
tayloramy
Contributor

Hi @Nelson-Mwangi

 

Can you please provide sample data in a usable format (not a screenshot)?

 

If you found this helpful, consider giving some Kudos. If I answered your question or solved your problem, mark this post as the solution. 

Nelson-Mwangi
New Contributor II

Unfortunately, this is my first post I'm not allowed to attach files.

The snip below has a sample data  and the relationship - Hope that helps.

 

image.png


image.png

Hi @Nelson-Mwangi

 

Please see this post for how to provide sample data: 
How to provide sample data in the Power BI Forum - Microsoft Fabric Community

 

Also take a look at this post: 
(1) How to Get Your Question Answered Quickly - Microsoft Fabric Community

 

If you found this helpful, consider giving some Kudos. If I answered your question or solved your problem, please mark this post as the solution. 

Customer CodeCustomer NameBrandListingDateProduct CodeSalesmanDateSales
KE0064975Fenix Liquors Store, KitaleDon Julio01/07/2025636328Kitale Counter01/07/20250.17
KE0064975Fenix Liquors Store, KitaleDon Julio01/07/2025636328Titus Peter01/08/20250.17
KE0064975Fenix Liquors Store, KitaleDon Julio01/07/2025636349Janet Cheruiyot01/08/20250.17
KE0138196Swam W&S,KitaleDon Julio01/07/2025636349Titus Peter01/07/20250.5
KE0141961Bonile wines ktlDon Julio01/07/2025636328Kitale Counter01/07/20250.33
KE0141961Bonile wines ktlDon Julio01/07/2025636350Kitale Counter01/07/20250.17
KE0149467Lion Liquor Store, KibometDon Julio01/08/2025636328Kitale Counter01/08/20250.17
KE0152923Kitale Club,Kitale TownDon Julio01/08/2025636349Kitale Counter01/08/20250.17
KE0152923Kitale Club,Kitale TownDon Julio01/08/2025636328Dennis Memba01/09/20250.33
KE0156529Alaska Bar,SibangaDon Julio01/08/2025636349Janet Cheruiyot01/08/20250.17
KE0034887Sirwo Resort, KapcheropGordons Dry Gin01/07/2025716210Kitale Counter01/08/20250.08
KE0034887Sirwo Resort, KapcheropGordons Dry Gin01/07/2025716210Jasron Anyasi01/07/20250.08
KE0034887Sirwo Resort, KapcheropGordons Dry Gin01/07/2025716210Jasron Anyasi01/07/20250.17
KE0034887Sirwo Resort, KapcheropGordons Dry Gin01/07/2025716210Jasron Anyasi01/08/20250.17
KE0034887Sirwo Resort, KapcheropGordons Dry Gin01/07/2025763807Jasron Anyasi01/08/20250.12
KE0034887Sirwo Resort, KapcheropGordons Dry Gin01/07/2025716210Jasron Anyasi01/09/20250.17

Customer CodeCustomer NameBrandListingDateProduct CodeSalesmanDateSales
KE0064975Fenix Liquors Store, KitaleDon Julio01/07/2025636328Kitale Counter01/07/20250.17
KE0064975Fenix Liquors Store, KitaleDon Julio01/07/2025636328Titus Peter01/08/20250.17
KE0064975Fenix Liquors Store, KitaleDon Julio01/07/2025636349Janet Cheruiyot01/08/20250.17
KE0138196Swam W&S,KitaleDon Julio01/07/2025636349Titus Peter01/07/20250.5
KE0141961Bonile wines ktlDon Julio01/07/2025636328Kitale Counter01/07/20250.33
KE0141961Bonile wines ktlDon Julio01/07/2025636350Kitale Counter01/07/20250.17
KE0149467Lion Liquor Store, KibometDon Julio01/08/2025636328Kitale Counter01/08/20250.17
KE0152923Kitale Club,Kitale TownDon Julio01/08/2025636349Kitale Counter01/08/20250.17
KE0152923Kitale Club,Kitale TownDon Julio01/08/2025636328Dennis Memba01/09/20250.33
KE0156529Alaska Bar,SibangaDon Julio01/08/2025636349Janet Cheruiyot01/08/20250.17
KE0034887Sirwo Resort, KapcheropGordons Dry Gin01/07/2025716210Kitale Counter01/08/20250.08
KE0034887Sirwo Resort, KapcheropGordons Dry Gin01/07/2025716210Jasron Anyasi01/07/20250.08
KE0034887Sirwo Resort, KapcheropGordons Dry Gin01/07/2025716210Jasron Anyasi01/07/20250.17
KE0034887Sirwo Resort, KapcheropGordons Dry Gin01/07/2025716210Jasron Anyasi01/08/20250.17
KE0034887Sirwo Resort, KapcheropGordons Dry Gin01/07/2025763807Jasron Anyasi01/08/20250.12
KE0034887Sirwo Resort, KapcheropGordons Dry Gin01/07/2025716210Jasron Anyasi01/09/20250.17

Hi @Nelson-Mwangi 

Thank you for reaching out to the Microsoft Fabric Forum Community.

Based on my understanding, could you please try the following DAX? It might be helpful.

First-Time Listings =
COUNTROWS(
    SUMMARIZE(
        'Document Listing',
        'Document Listing'[Customer Code],
        'Document Listing'[Brand],
        "FirstListDate", CALCULATE(MIN('Document Listing'[ListingDate]))
    )
)

If I misunderstand your needs or you still have problems on it, please feel free to let us know.  

Thanks.

Hi @Nelson-Mwangi 

Thank you for reaching out to the Microsoft Fabric Forum Community.

 

I hope the information provided was helpful. If you still have questions, please don't hesitate to reach out to the community.

 

First-Time ListingsCalcColumn Labels   
Row LabelsJulyAugustSeptemberGrand Total
Bulleit Bourbon3  3
Casamigos 213
Don Julio74110
Gordons Dry Gin2324942
JW Black Label10110480141
JW Blonde20351659
JW Gold Reserve3  3
JW Red Label1009276137
Singleton1518427
Tanq Ten21 3
Tanqueray LDG37210
Grand Total277287189438

 

Sorry for the delayed response. The measure returns the correct totals but monthly count is not unique.

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