Hi,
I've a number of "duplicates" that I'm trying to join onto one row. For instance this is my dataset
| ID | title | name | type | column5 |
| 1 | one | qq | text | empty |
| 1 | one | qq | int | empty |
| 1 | two | qq | int | empty |
| 1 | two | qq | text | not |
And this is what I'm trying to achieve.
| ID | title | name | type | column5 |
| 1 | one, two | qq | text, int | empty, not |
Basically look through ID column and when duplicate ID is, look through all remaining columns, compare and if any difference copy everything into first row and delete remaining rows.
I tried to use Multi row formula tool, but with no success. My issue is, that I don't know which columns have different values (original dataset has over 100 columns) so it has to be generic.
ID column has a lot of unique values that only have one entry, so obviously I want to leave those are they are. It's only whenever I've duplicate ID.
Pav
