Data Cleaning Checklist

1. Preencha seus dados

Os valores abaixo são exemplos. Substitua pelos seus; nada é salvo ou enviado.

2. Copie o prompt completo

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. Confira o resultado

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

Não gostou? Mude uma variável por vez e compare com o resultado anterior.