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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 | ||||
| Name | Order ID | Product ID | Order date | |
| [email protected] | John Doe | 1212 | 1010 | 2020-01-01 |
| [email protected] | John Doe | 1212 | 1212 | 2020-01-01 |
| [email protected] | Jane Doe | 1215 | 1202 | 2020-05-05 |
| [email protected] | Jane Doe | 1215 | 1207 | 2020-05-05 |
| TABLE 2 | ||||
| Name | Order ID | Product ID | Order date | |
| [email protected] | John Doe | 2020 | 1010 | 2020-04-01 |
| [email protected] | John Doe | 2020 | 1212 | 2020-04-01 |
| [email protected] | Jane Doe | 2040 | 1202 | 2020-06-05 |
| [email protected] | Jane Doe | 2040 | 1203 | 2020-06-05 |
| TABLE 3 | |||
| Name | First order | Latest order | |
| [email protected] | John Doe | 2020-01-01 | 2020-04-01 |
| [email protected] | Jane Doe | 2020-05-05 | 2020-06-05 |
Would really appreciate your help on this one!
Thanks!
Solved! Go to Solution.
Hi @andersbq ,
You could do this in Query Editor with Merge, Append, Group by and Remove duplicates features.
Pbix as attached.
Best Regards,
Jay
Hi @andersbq ,
You could do this in Query Editor with Merge, Append, Group by and Remove duplicates features.
Pbix as attached.
Best Regards,
Jay
Awesome, works like a charm!
Thanks! @Anonymous
@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]))
Thanks! @amitchandak - but I get this error message: Cannot identify the table that contains [Order date] column.
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