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

Oh man, I feel your pain! Once had a dataset where "Free" was entered as "0", "$0", "FREE", and even "Zero". Took me forever to normalize it.

For anyone dealing with bad data terms, check out OpenRefine—it’s a lifesaver for cleaning messy data.

And yeah, why do these issues *always* pop up *after* the presentation? 😅