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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!




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