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

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more

Reply
dream36876
Frequent Visitor

Calculating sales associate between different categories.

I would like to analyze the association of sales between different categories.

 

For example:
In a single order, how many orders that include facial cleansers also include scalp cleansers?

 

The right side form is ideal result that show the number of orders for each category that include items from other categories purchased together.

 

dream36876_0-1719470481318.png

 

1 ACCEPTED SOLUTION
ryan_mayu
Super User
Super User

@dream36876 

 

1. create a column in order table

 

productname = RELATED(Dim_Product[Name])
 
 

11.PNG'

 

2.  create a table

 

Table =
VAR tbl=FILTER(ADDCOLUMNS(CROSSJOIN(DISTINCT(Dim_Product[Name]),SELECTCOLUMNS(DISTINCT(Dim_Product[Name]),"name2",[Name])),"check",if([Name]=[name2],1,0)),[check]=0)
VAR tbl2=SELECTCOLUMNS(tbl,"Name",[Name],"Co-Buy",[name2])
return tbl2
 
 
3. create a column
 
Column =
VAR ta=CALCULATETABLE(distinct('Order'[OrderId]),filter('Order','Order'[productname]='Table'[Name]))
VAR tb=CALCULATETABLE(distinct('Order'[OrderId]),filter('Order','Order'[productname]='Table'[Co-Buy]))
VAR tc=INTERSECT(ta,tb)
return COUNTROWS(tc)
 
13.PNG
 
pls see the attachment below

 





Did I answer your question? Mark my post as a solution!

Proud to be a Super User!




View solution in original post

1 REPLY 1
ryan_mayu
Super User
Super User

@dream36876 

 

1. create a column in order table

 

productname = RELATED(Dim_Product[Name])
 
 

11.PNG'

 

2.  create a table

 

Table =
VAR tbl=FILTER(ADDCOLUMNS(CROSSJOIN(DISTINCT(Dim_Product[Name]),SELECTCOLUMNS(DISTINCT(Dim_Product[Name]),"name2",[Name])),"check",if([Name]=[name2],1,0)),[check]=0)
VAR tbl2=SELECTCOLUMNS(tbl,"Name",[Name],"Co-Buy",[name2])
return tbl2
 
 
3. create a column
 
Column =
VAR ta=CALCULATETABLE(distinct('Order'[OrderId]),filter('Order','Order'[productname]='Table'[Name]))
VAR tb=CALCULATETABLE(distinct('Order'[OrderId]),filter('Order','Order'[productname]='Table'[Co-Buy]))
VAR tc=INTERSECT(ta,tb)
return COUNTROWS(tc)
 
13.PNG
 
pls see the attachment below

 





Did I answer your question? Mark my post as a solution!

Proud to be a Super User!




Helpful resources

Announcements
November Power BI Update Carousel

Power BI Monthly Update - November 2025

Check out the November 2025 Power BI update to learn about new features.

Fabric Data Days Carousel

Fabric Data Days

Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.