Workflow

A practical data cleaning and data preparation flow that works well for most files.

  1. Step 1: Review parse diagnostics right after upload. If status is Repaired, RxLint already applied automatic parsing repair for high-confidence malformed split rows.

  2. Step 2: Start with Critical issues. These usually block imports or create major data integrity risks.

  3. Step 3: Use issue filters in the sidebar (Affected item + Severity) to focus one problem type at a time during your data audit.

  4. Step 4: Apply quick fixes for repetitive cleanup, or run Bulk actions → Bulk fix for multiple issue types in one pass.

  5. Step 5: Handle manual decision cases (for example, mixed value types or header naming conflicts).

  6. Step 6: Export the final file and, if needed, use Restore to original to compare against the source file for final data verification.