I have data looks like this:
| 1 | s-lights | casuals | bungee-shoes | casuals | hook-and-loop-shoes | casuals | light-up-shoes | sneakers | bungee-shoes | sneakers | hook-and-loop-shoes |
| 2 | usa-casuals | casuals | comfort-shoes | dress-casuals | loafers | dress-casuals | slip-on-shoes | | | | |
| 3 | s-lights | casuals | lace-up-shoes | casuals | light-up-shoes | sneakers | lace-up-shoes | | | | |
For each row, I would like to compare the data across columns. If there are duplicates in later columns, I would like to keep the first value and then remove other duplicates in the later columns. The highlighted values mean there are duplicates in each row but different columns. The yellow highlighted values are the ones to keep, and the red highlighted values are the ones to remove.
The expected result should look like:
| 1 | s-lights | casuals | bungee-shoes | | hook-and-loop-shoes | | light-up-shoes | sneakers | | | |
| 2 | usa-casuals | casuals | comfort-shoes | dress-casuals | loafers | | slip-on-shoes | | | | |
| 3 | s-lights | casuals | lace-up-shoes | | light-up-shoes | sneakers | | | | | |
I really appreciate if someone can show me how to do this type of cleanup in Alteryx!
