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To highlight matching rows across multiple sheets in Excel, use this Skill to scan target columns, apply criteria, and export a new workbook with all qualifying rows tagged in red for visual auditing.

Finding records that meet specific criteria across all Excel sheets requires a cross-sheet scanning process that checks every worksheet and selects matching rows for consolidated data cleaning and auditing review.

Yes, you can use pandas and openpyxl to automate cross-sheet consistency checks, leveraging dataframe processing to locate matching conditions and openpyxl to format the exported results with red row highlighting.

This multi-sheet Excel filtering approach processes large datasets efficiently by leveraging pandas and pyarrow workflows, enabling robust data cleaning and record filtering without hitting standard spreadsheet size limitations.

Limitations of using Python for cross-sheet record discovery include relying on well-structured target columns across all sheets, as inconsistent formatting or missing headers may prevent the pandas scanning logic from accurately matching and highlighting rows.