Hi, I have been applying the summary tool to this dataset:
| Category | Alice | Bob |
| 1 | 5 | 4 |
| 1 | 7 | 1 |
| 2 | 8 | 5 |
| 2 | 4 | 7 |
| 2 | 2 | 8 |
I would apply group by to "Category" and as aggregation method choose "max" for all names, so the result would be
However, the names in my source data may change (e.g. Bob-> Ben) and also the amount of names may vary. So I am looking for a workflow that can in addition to above aggregation also aggregate this table:
| Category | Alice | Ben | Oscar |
| 1 | 1 | 2 | 3 |
| 1 | 6 | 5 | 4 |
| 2 | 7 | 8 | 9 |
| 2 | 7 | 8 | 9 |
| 2 | 6 | 5 | 4 |
to
| Category | Alice | Ben | Oscar |
| 1 | 6 | 5 | 4 |
| 2 | 7 | 8 | 9 |
Thanks in advance for any help :-)