What’s the worst 'bad data term' you’ve encountered in your work? or How do you handle a 'bad data te

Ohhh the pain. Had a client send over a CSV where "None" was "NONE", "none", and "".

Python's `fuzzywuzzy` library saved me—great for matching messy text.

Also, always validate *before* you analyze. Learned that the hard way.