Spreadsheet cleanup

The dataset below contains 30 fictional spreadsheet notes with ordinary text, emails, or phone numbers. Below, we’ve run Email addresses and Phone numbers checks on it to check spreadsheet text for contact details.

Text

Results

Records checked
30/30
Records flagged
15/30 (50%)

Actions

Categories

Checks

Records

Quick filters:
Text CategoriesActivate to sort ascending. ChecksActivate to sort ascending. DecisionActivate to sort ascending. ActionActivate to sort ascending.
Contact sam@example.test about the order Sensitive data Email addresses Review Redact and review
Send the receipt to billing@example.test Sensitive data Email addresses Review Redact and review
Share the revised estimate with alex@example.test Sensitive data Email addresses Review Redact and review
The survey response lists robin@example.test Sensitive data Email addresses Review Redact and review
Email casey@example.test when stock arrives Sensitive data Email addresses Review Redact and review
Send the invoice correction to lee@example.test Sensitive data Email addresses Review Redact and review
The delivery contact is taylor@example.test Sensitive data Email addresses Review Redact and review
Email jordan@example.test or call (202) 555-0147 Sensitive data Email addresses, Phone numbers Review Redact and review

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