csv-workbench

To summarize CSV data, you can inspect the schema, count rows, and compute grouped totals for specific columns like total sales per region. The tool analyzes files in the /mnt/data directory using Python's csv module.

The best way to inspect a CSV file's structure is to use a data inspection feature that previews the schema and content. This allows you to understand the layout and identify columns for grouped aggregations.

You can analyze CSV files with missing or malformed data, but the tool handles these by clearly stating assumptions rather than silently dropping rows. This ensures transparency in the numeric summaries and grouped totals.

To count the total number of records in a CSV file, you can use the row counting feature. It provides a quick numeric summary to determine the exact number of data rows within the file.

CSV summarization specifically works with files located in the /mnt/data directory. You must place your CSV files in this directory before requesting schema inspection, row counting, or grouped aggregations.