Hi. I have a dataset where I need to scale every column's values by a multiplier so that it ties to other data.
Currently I have two sources.
1) Primary data which looks like this:
| Store Number | Location | Revenue | Costs | Marketing Expense | Discount | ... |
| 1 | A | # | # | # | # | ... |
| 2 | B | # | # | # | # | ... |
| 3 | C | # | # | # | # | ... |
2) A multiplier key which looks like this:
| Revenue | 0.97 |
| Costs | 0.88 |
| Marketing Expense | 1.12 |
| Discount | 1.07 |
| ... | ... |
I'm looking for the least resource intensive way to multiply all of the Revenue column by the Revenue multiplier, all of the Costs column by the Costs multiplier, and so on (30 columns in total).
I've seen solutions which may work using Append Fields, but my data is millions of rows by 30-40 columns, so I'm afraid that would balloon my data severely.
Through my searches I haven't found anyone with a similar issue. Do you have any thoughts on a solution?