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🧹 Messy Data Cleanup

Paste messy data (CSV/list/table) and get it cleaned — standardized formats, fixed typos, normalized labels, flagged duplicates. Values and IDs are never invented or changed, only formatted.

See the quality — a real example

Sample only · no credits used

Input — messy pasted CSV

name,signup,phone,amount
 jane DOE ,3/7/24,(415) 555-0132,$1,200.00
John  Smith,2024-03-09,415.555.0188,950
JANE DOE,07/03/2024,4155550132,1200
maría lópez,Mar 11 2024,+1 415 555 0170,$1,050.5

Output — cleaned & normalized

name,signup,phone,amount
Jane Doe,2024-03-07,+14155550132,1200.00
John Smith,2024-03-09,+14155550188,950.00
María López,2024-03-11,+14155550170,1050.50

What changed

  • Dates unified to YYYY-MM-DD (3/7/24, "Mar 11 2024" → ISO)
  • Phones normalized to E.164; names set to title case
  • Amounts stripped of $ and thousands commas, 2-decimal

Needs your review

  • Rows 1 & 3 look like the same "Jane Doe" — possible duplicate

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