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Fix types, duplicates and inconsistent labels

10 min applied10 min research2 curated resources

Convert '1,200' strings to numbers, parse dates, remove duplicate customers, unify 'Mumbai'/'mumbai '/'Bombay'. Concepts: pandas: astype, to_numeric, to_datetime, duplicated, drop_duplicates, replace, rename, str methods, category

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