excel-data-analyzer

You can audit Excel data quality by parsing .xlsx or .xls files to automatically detect missing values, duplicates, and format inconsistencies. The tool generates a comprehensive Markdown report with per-sheet quality scores and actionable cleaning recommendations.

Yes, you can generate statistical summaries for multi-sheet Excel workbooks. The analysis identifies data structures, calculates top-value distributions for numeric and text data, and produces per-workbook quality scores to help prioritize fixes.

To check Excel data structure before migration, you can apply automated type detection across multi-sheet workbooks. This identifies structural problems and statistical patterns, producing actionable insights to prepare spreadsheets for analysis.

Yes, you need the Bun or TypeScript runtime along with the xlsx library to parse .xlsx or .xls files. These dependencies are required to extract data structures and generate the final Markdown quality report.

The best way to clean messy Excel files is to use automated detection for structural problems and data quality issues. This approach provides per-sheet quality scoring and actionable cleaning recommendations, ensuring spreadsheets are ready for reliable analysis.

Yes, you can use this for data auditing tasks across finance, marketing, and operations spreadsheets. It evaluates data quality, identifies inconsistencies, and generates quality scores to support dashboard preparation and data migration.