I have a dataset where the data is fairly fragmented. With plenty of missing information. Thankfully I was able to find the supplemental data in another table. I need a way to smartly merge these fields together.
I figure a regex character match is the best option but my regex is very rudimentary.
Examples are as follows:
| Station Name | Outlet Name |
| East SD | TV Guide |
| West SD | TV Guide |
| CH 14 | NBC |
| CH 11 | NBC |
| National HD | TV One |
Expected output
| Station Name | Outlet Name |
| TV Guide East SD | TV Guide |
| TV Guide West SD | TV Guide |
| NBC CH 14 | NBC |
| NBC CH 14 | NBC |
| TV One National HD | TV One |
There are over 2k rows and several hundred unique values for Station Name. Most where the data is missing follow similar formats as the ones above. In essence I need a regex (or similar formula) that matches on a format:
IF [Station Name] = "CH ##" then concat [Outlet Name] + [Station Name]
IF [Station Name] CONTAINS "SD" then concat [Outlet Name] + [Station Name]