What this Lesson covers
Turn an untidy export into a usable Excel Table without deleting uncertain records or inventing missing data.
Lesson outline
- Define “clean” before asking AI
- Inspect the evidence, not just the tidy appearance
- Reconcile the result
Learning outcomes
- Set a cleaning boundary
- Protect the raw sheet
- Use evidence for duplicates
- Reconcile row counts
Messy exports create many small, repetitive decisions: remove blank separators, trim spaces, standardize labels, convert dates, and find possible duplicates. AI can apply a clearly stated rule across every row faster than you can repair cells one by one. That speed is useful only when you preserve the source and decide what counts as evidence for deletion.
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