Data Cleaning Checklist

1. Remplissez vos informations

Les valeurs ci-dessous sont des exemples. Remplacez-les ; rien n’est enregistré ni envoyé.

2. Copiez le prompt complet

Complete the task using these inputs. Fields: [Fields]; Problem: [Problem]. First propose a read-only inspection plan covering how duplicates are defined, missing values, date formats, and numeric anomalies. Design cleaning steps that preserve the raw data along with a change log; don't treat identical names as the same person, and output metrics to compare before and after. Structure the output as: understanding and assumptions, ready-to-use content, information I need to confirm, and next steps. Use clear, short sentences and avoid empty slogans; if key input is missing, ask at most three specific questions instead of filling gaps with guesses. Finally, check each item against my purpose and state clearly which results still need human review.

Complete the task using these inputs. Fields: [Fields]; Problem: [Problem]. First propose a read-only inspection plan covering how duplicates are defined, missing values, date formats, and numeric anomalies. Design cleaning steps that preserve the raw data along with a change log; don't treat identical names as the same person, and output metrics to compare before and after. Structure the output as: understanding and assumptions, ready-to-use content, information I need to confirm, and next steps. Use clear, short sentences and avoid empty slogans; if key input is missing, ask at most three specific questions instead of filling gaps with guesses. Finally, check each item against my purpose and state clearly which results still need human review.

3. Vérifiez le résultat

Are the deduplication rules clear? Can the raw data be restored? Verify names, numbers, and qualifiers from the input.

Pas satisfait ? Changez une variable à la fois et comparez avec le résultat précédent.