Formula Health Checker
Inspect a pasted formula or the first worksheet in an XLSX file for broken references, fragile lookups and performance risks.
Measure blanks, outer whitespace, repeated values and case inconsistencies that can interfere with matching and reporting.
Small cleanliness problems can create large matching failures. The Data Quality Checker reviews each column for blank cells, values with unwanted outer whitespace, repeated normalized values and capitalization variants that may represent inconsistent entry. It presents these as issue signals rather than automatically declaring each occurrence an error: duplicate department names are normal, while duplicate invoice numbers may be critical. The purpose is to focus a reviewer’s attention before a lookup, import or reconciliation begins.
The checker does not know your organisation’s business constraints. Repeated values and blank optional fields may be legitimate, so all findings require contextual review.
No. The report highlights patterns that deserve review, not automatic failures.
Yes. Outer whitespace is measured from the raw cell text.
No. It only reports findings.
Inspect a pasted formula or the first worksheet in an XLSX file for broken references, fragile lookups and performance risks.
Score spreadsheet columns by completeness and uniqueness to identify likely employee, invoice, asset or transaction keys.
Profile column types, blanks, uniqueness, maximum text length and sample values before mapping or importing a dataset.