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data-analysis

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About data-analysis

D

data-analysis

The user uploads Excel (.xlsx/.xls) or CSV files and wants

data-analysis is an agent skill from the DeerFlow project that analyzes Excel (.xlsx and .xls) and CSV files you upload. It uses DuckDB, an in-process analytical SQL engine, so the whole analysis runs through one Python script without a database server. The skill inspects the file's structure, listing sheets, columns, types and row counts, and then runs SQL queries against the data. For a multi-sheet workbook, each sheet becomes its own table, so you can join across sheets. It produces statistical summaries that include the mean, median, standard deviation, percentiles and null counts, and it can build pivot-style summaries. Query results can be exported as CSV, JSON or Markdown. The skill is built to handle large files efficiently, because DuckDB processes data in a columnar layout. It is suited to anyone who has a spreadsheet or export and wants answers from it, such as summaries or the distribution of a column, without writing the code by hand. Its workflow begins by working out what you need. The skill passes Gen Agent Trust Hub and Snyk on skills.sh, and Socket shows a warning. Install it with npx skills add https://github.com/bytedance/deer-flow --skill data-analysis.

View data-analysisAll AI Skills apps
Price
Free
Made by
bytedance
Category
AI Skills
Website
github.com/bytedance/deer-flow/data-analysis