Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Hi,
I am very new to daxt. I am having requirement like, to calculte distinct count of products per store, per week.
My query is showing same value for all the rows.
EVALUATE
SUMMARIZECOLUMNS (
'Store'[StoreName],
'Time'[Week],
TREATAS ( { "Store1", "Store2" }, 'Store'[StoreName] ),
TREATAS ({"P1","P2","P3","P4","P5","P6"},'Product'[Product Name] ),
FILTER(VALUES('Time'[Week]),'Time'[Week]>="Week1" && 'Time'[Week]<="Week3"),
"UnitS", [Units] ,
"ProductCount", DISTINCTCOUNT('Product'[Product Name])
)
Result:
Expected Result should look like:
Could you please some one help me on this.
Solved! Go to Solution.
@SravaniG , Try without unit
EVALUATE
SUMMARIZECOLUMNS (
'Store'[StoreName],
'Time'[Week],
TREATAS ( { "Store1", "Store2" }, 'Store'[StoreName] ),
TREATAS ({"P1","P2","P3","P4","P5","P6"},'Product'[Product Name] ),
FILTER(VALUES('Time'[Week]),'Time'[Week]>="Week1" && 'Time'[Week]<="Week3"),
"ProductCount", DISTINCTCOUNT('Product'[Product Name])
)
Hi @SravaniG ,
According to my understanding, you want to calculate the count of each store and each week,right?
Please create a new table and add a column using the following formula:
Table 2 =
DISTINCT ( SELECTCOLUMNS ( 'Table', "StoreName", [StoreName], "Week", [Week] ) )Count =
VAR _st = [StoreName]
VAR _w = [Week]
RETURN
CALCULATE (
COUNTROWS ( 'Table' ),
FILTER ( 'Table', 'Table'[StoreName] = _st && 'Table'[Week] = _w )
)The final output is shown below:
Here is the pbix file.
Best Regards,
Eyelyn Qin
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
@SravaniG , Try without unit
EVALUATE
SUMMARIZECOLUMNS (
'Store'[StoreName],
'Time'[Week],
TREATAS ( { "Store1", "Store2" }, 'Store'[StoreName] ),
TREATAS ({"P1","P2","P3","P4","P5","P6"},'Product'[Product Name] ),
FILTER(VALUES('Time'[Week]),'Time'[Week]>="Week1" && 'Time'[Week]<="Week3"),
"ProductCount", DISTINCTCOUNT('Product'[Product Name])
)
Check out the November 2025 Power BI update to learn about new features.
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!