I'm looking for formulae that will compare Sheet1 and Sheet2, searching Sheet2 for cells that don't match columns C-E for the associated ID and Date (columns A & B) in Sheet1. Further, I'd like to highlight in Sheet1 whatever cells in columns C-E that don't have matches in that can be found in Sheet2. Ideally, a new set of columns in Sheet1 would also return the values from both sheets separated by a "/" to show the values that don't match between sheets.
For clarity, I have an older dataset with costs of events at 3 different locations and a new dataset that is supposed to include data from the old dataset, same 3 locations. For some reason, costs have been altered in the new dataset retroactively and I need to find the ID/Dates with any discrepancies in costs at any locations, given the associated ID/Date.
Example below...
Sheet1 before algorithm applied
Sheet2
Sheet1 after algorithm applied
For clarity, I have an older dataset with costs of events at 3 different locations and a new dataset that is supposed to include data from the old dataset, same 3 locations. For some reason, costs have been altered in the new dataset retroactively and I need to find the ID/Dates with any discrepancies in costs at any locations, given the associated ID/Date.
Example below...
Sheet1 before algorithm applied
ID | DATE | LOCATION 1 | LOCATION 2 | LOCATION 3 |
1 | 10/03/2016 | $12.60 | $34.16 | $34.16 |
2 | 10/03/2016 | $4.20 | $19.03 | $19.03 |
6 | 10/04/2016 | $12.60 | $34.16 | $34.16 |
7 | 10/04/2016 | $4.20 | $32.44 | $32.44 |
8 | 10/13/2016 | $12.60 | $34.16 | $34.16 |
9 | 10/13/2016 | $12.60 | $20.00 | $20.00 |
10 | 10/13/2016 | $12.60 | $34.16 | $34.16 |
11 | 10/13/2016 | $12.60 | $29.73 | $29.73 |
14 | 10/13/2016 | $12.60 | $34.16 | $34.16 |
15 | 10/13/2016 | $4.20 | $16.49 | $16.49 |
Sheet2
ID | DATE | LOCATION 1 | LOCATION 2 | LOCATION 3 |
1 | 10/03/2016 | $12.60 | $34.16 | $34.16 |
2 | 10/03/2016 | $4.20 | $19.03 | $5 |
6 | 10/04/2016 | $5 | $34.16 | $34.16 |
7 | 10/04/2016 | $4.20 | $5 | $32.44 |
8 | 10/13/2016 | $12.60 | $34.16 | $5 |
9 | 10/13/2016 | $12.60 | $20.00 | $20.00 |
10 | 10/13/2016 | $12.60 | $34.16 | $34.16 |
11 | 10/13/2016 | $12.60 | $29.73 | $29.73 |
14 | 10/13/2016 | $5 | $34.16 | $34.16 |
15 | 10/13/2016 | $4.20 | $5 | $16.49 |
Sheet1 after algorithm applied
ID | DATE | LOCATION 1 | LOCATION 2 | LOCATION 3 | LOCATION 1check | LOCATION 2check | LOCATION 3check |
1 | 10/03/2016 | $12.60 | $34.16 | $34.16 | |||
2 | 10/03/2016 | $4.20 | $19.03 | $19.03 | 19.03 / 5 | ||
6 | 10/04/2016 | $12.60 | $34.16 | $34.16 | 12.60 / 5 | ||
7 | 10/04/2016 | $4.20 | $32.44 | $32.44 | 32.44 / 5 | ||
8 | 10/13/2016 | $12.60 | $34.16 | $34.16 | 34.16 / 5 | ||
9 | 10/13/2016 | $12.60 | $20.00 | $20.00 | |||
10 | 10/13/2016 | $12.60 | $34.16 | $34.16 | |||
11 | 10/13/2016 | $12.60 | $29.73 | $29.73 | |||
14 | 10/13/2016 | $12.60 | $34.16 | $34.16 | 12.60 / 5 | ||
15 | 10/13/2016 | $4.20 | $16.49 | $16.49 | 16.49 / 5 |