P78Data CleaningBeginnerImplement10 min
Implement a Defensive Numeric Cleaning Helper
Convert messy currency-like strings into numeric values while making invalid values visible.
#implement#pandas#numeric cleaning
Scenario
A revenue column contains '$1,240', ' 89 ', 'N/A', and empty strings.
Problem statement
Implement a small Pandas helper that returns a numeric series and handles invalid values explicitly.
Your Task
- Remove presentation characters.
- Convert invalid values to a clear missing representation.
- Show how invalid inputs can be reviewed.
Input
values = pd.Series(['$1,240', ' 89 ', 'N/A', ''])Related Concepts
Type consistencyPandasData validation
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