Below is a sample of the data set I am working with on the left and the result I am looking for on the right. I have tried using the Tile tool using unique values, but can't seem to get the result. I don't want to define the number of tiles because the number of tiles needed could vary depending on the data set. Is Tile even the right tool to use here?
| Data Set | Result | ||||
| Store | End Cap # | Promo | End Cap Status | Tile_Num | Tile_SequenceNum |
| 1 | 5 | Pizza | Main | 1 | 1 |
| 1 | 5 | Pizza Rolls | Tie-In | 1 | 2 |
| 2 | 5 | Pizza | Main | 1 | 1 |
| 2 | 5 | Pizza Rolls | Tie-In | 1 | 2 |
| 3 | 5 | Pizza | Main | 1 | 1 |
| 3 | 5 | Pizza Rolls | Tie-In | 1 | 2 |
| 4 | 5 | Pizza Rolls | Main | 2 | 1 |
| 5 | 5 | Entrees | Main | 3 | 1 |
| 5 | 5 | Pizza Rolls | Tie-In | 3 | 2 |
Solved! Go to Solution.
can you give us a hint as to why tile_nums are being associated to the rows in your example please?
Stores 1, 2 and 3 have the same main and tie-in promos on the end cap, so I want to identify those as being the same end cap. Store 4 and store 5 have a different variation of promos. I want to differentiate between the 3 end cap variations.
@smerton, here's an approach:
1. Figure out the groupings of EndCap#, Promo & Status.
2. Join the store data to each group.
3. Output the Tiles/Groups
Does it help?
Cheers,
Mark
This is what I was looking for. Thanks for your help!
