"Ever been burned by a bad data term? Share your horror stories!"
Ugh, just spent *hours* debugging a report because of a sneaky bad data term hiding in our customer dataset.
Turns out someone entered "N/A" as "NA," "n/a," and even "Not Applicable" in the same column. Classic bad data term mess.
My analysis was totally skewed until I caught it. Had to clean it up with a nasty regex fix—felt like a detective solving a crime.
Anyone else have a bad data term nightmare? Share yours so we can all suffer together lol.
Pro tip: Always check for inconsistent null values *first*. Saves so much pain later.
(Also, why do bad data terms always show up *after* you present the report? 🙃)
Ugh, just spent *hours* debugging a report because of a sneaky bad data term hiding in our customer dataset.
Turns out someone entered "N/A" as "NA," "n/a," and even "Not Applicable" in the same column. Classic bad data term mess.
My analysis was totally skewed until I caught it. Had to clean it up with a nasty regex fix—felt like a detective solving a crime.
Anyone else have a bad data term nightmare? Share yours so we can all suffer together lol.
Pro tip: Always check for inconsistent null values *first*. Saves so much pain later.
(Also, why do bad data terms always show up *after* you present the report? 🙃)