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andersbq
Frequent Visitor

Create summarized table

Hello all, 

 

I got two tables with order data (ecom/retail).  My goal is to create a summarized table (based on the email address) that looks like Table 3. Table 1 & 2 has a lot of columns, below are the matching ones. 

 

TABLE 1    
EmailNameOrder IDProduct IDOrder date
john@doe.comJohn Doe121210102020-01-01
john@doe.comJohn Doe121212122020-01-01
Jane@doe.comJane Doe121512022020-05-05
Jane@doe.comJane Doe121512072020-05-05

 

TABLE 2    
EmailNameOrder IDProduct IDOrder date
john@doe.comJohn Doe202010102020-04-01
john@doe.comJohn Doe202012122020-04-01
Jane@doe.comJane Doe204012022020-06-05
Jane@doe.comJane Doe204012032020-06-05

 

TABLE 3   
EmailNameFirst orderLatest order
john@doe.comJohn Doe2020-01-012020-04-01
Jane@doe.comJane Doe2020-05-052020-06-05

 

Would really appreciate your help on this one!

 

Thanks!

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @andersbq ,

 

You could do this in Query Editor with Merge, Append, Group by and Remove duplicates features.

5.PNG

Pbix as attached.

 

Best Regards,

Jay

View solution in original post

4 REPLIES 4
Anonymous
Not applicable

Hi @andersbq ,

 

You could do this in Query Editor with Merge, Append, Group by and Remove duplicates features.

5.PNG

Pbix as attached.

 

Best Regards,

Jay

Awesome, works like a charm!

 

Thanks! @Anonymous 

amitchandak
Super User
Super User

@andersbq , refer if this can help

https://www.sqlbi.com/articles/from-sql-to-dax-joining-tables/

 

Try like

 

summarize(
union (
selectcolumns(Table1,"Email",Table1[Email] ,"Name",Table1[Name],"Order ID",Table1[Order ID],"Product ID",Table1[Product ID],"Order date",Table1[Order date]),
selectcolumns(Table2,"Email	Name",Table2[Email] ,"Name",Table2[Name],"Order ID",Table2[Order ID],"Product ID",Table2[Product ID],"Order date",Table2[Order date])
), [Email],[Name],"First order" ,min([Order date]),"Latest order",max([Order date]))
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Thanks! @amitchandak - but I get this error message: Cannot identify the table that contains [Order date] column.

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