Lección 6
CSV Debugging Workflow en español
Guía en español para csv csv debugging workflow: Debug broken exports, row-length mismatches, type inference, and leading-zero problems.
Este contenido todavía no está disponible en español. Se muestra la versión en English mientras completamos la localización.
When CSV conversion fails, avoid guessing. Inspect the table shape first.
A practical workflow
- Confirm the delimiter.
- Check whether the first row is a header.
- Preview the first rows as a table.
- Look for rows with too many or too few fields.
- Check quoted fields that contain commas, quotes, or line breaks.
- Decide whether type inference is safe.
- Convert a small sample before converting the full export.
Common failure signs
- One column contains the entire row: wrong delimiter.
- Rows split in the middle of notes: broken quotes.
- IDs lose leading zeros: type inference should be disabled.
- JSON has unexpected column names: missing, empty, or duplicate headers.
- CSV export has extra empty columns: spreadsheet formatting leaked into the data.
Key takeaway
Debug CSV by shape: delimiter, headers, rows, quoting, and types. Once the shape is right, conversion is much safer.
The CSV to JSON / JSON to CSV Converter reports row mismatches and shows a preview so you can catch these issues early.