Hi community,
I'm currently working on a data preparation where i have a dataset that contains 3 columns: CustomerID, Date (yyymm), Invoice ID (see table with example).
| ID | Date | Invoice ID |
|---|---|---|
| 1 | 201601 | A |
| 1 | 201601 | B |
| 1 | 201602 | C |
| 2 | 201601 | D |
The aim is to build an aggregate on this table where ID+Date are keys (there is only one row per ID+Date) and a new field that contains the number of invoices this customer has received for the given date.
For the example in the table it should look as follows:
| ID | Date | # of Invoices |
|---|---|---|
| 1 | 201601 | 2 |
| 1 | 201602 | 1 |
| 2 | 201601 | 1 |
How can this be done in Predictive Analytics? I have tested different approaches with the Data Manager but did not find an easy Aggregate Approach.
Thanks for any hints in advance,
Regards,
Sabrina