Our free Python script automates the entire data cleaning pipeline in 4 seconds. Used by researchers at top African universities.
📊 BEFORE (messy CSV): respondent_id, age, gender, cgpa, date_submitted 1, 23, MALE, 3.75, 15/01/2024 2, N/A, female, , 2024-01-15 3, 999, Male, 3.9, Jan 16 2024 ✨ AFTER (clean): respondent_id, age, gender, cgpa, date_submitted 1, 23, Male, 3.75, 2024-01-15 2, 23.5, Female, 3.7, 2024-01-15 3, 23.5, Male, 3.9, 2024-01-16
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Duplicates, nulls, outliers — fixed automatically
8 date formats → 1 standard
$1,200 → 1200.0 automatically
Beautiful audit trail of every fix
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