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

Lol classic bad data term chaos. My worst was a date column with "01/02/2023" – half the team read it as Jan 2, the other as Feb 1.

Pro tip: Use pandas' `to_datetime()` with strict formatting to avoid this mess.

Also, +1 for OpenRefine. That tool is magic.