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Spreadsheet management tools can filter rows based on queries and create new columns with expressions using pandas, automating common data transformation tasks for Excel files without manual boilerplate code.

Converting CSV to Excel format is done by reading the CSV file with pandas and exporting it to an Excel workbook, a process that can be automated to handle format conversions seamlessly without manual intervention.

You can inspect TSV files to quickly retrieve data summaries, descriptions, and previews, providing a fast overview of large datasets without loading the entire file into a manual spreadsheet application.

Yes, this data cleaning and manipulation approach supports CSV, TSV, and Excel formats, allowing you to inspect, filter, transform, and convert spreadsheet files across these supported types.

Spreadsheet summarization and column management are handled by applying operations like data summarization and dropping existing columns through a command-line interface that processes the file using pandas.

Command-line data manipulation is limited to the supported operations like filtering, transforming, and converting formats, meaning highly complex or custom pandas logic may still require writing dedicated scripts.