exploratory-data-analysislisted

# Exploratory Data Analysis ## Overview Perform comprehensive exploratory data analysis (EDA) on scientific data files across multiple domains. This skill provides automated file type detection, format-specific analysis, data quality assessment, and generates detailed markdown reports suitable for documentation and downstream analysis planning. **Key Capabilities:** - Automatic detection and analysis of 200+ scientific file formats - Comprehensive format-specific metadata extraction - Data quality and integrity assessment - Statistical summaries and distributions - Visualization recommendations - Downstream analysis suggestions - Markdown report generation ## When to Use This Skill Use this skill when: - User provides a path to a scientific data file for analysis - User asks to "explore", "analyze", or "summarize" a data file - User wants to understand the structure and content of scientific data - User needs a comprehensive report of a dataset before analysis - User wants to assess data quality or completeness - User asks what type of analysis is appropriate for a file ## Quick Reference | Task | Action | |------|--------| | Unknown file | Detect extension and load the matching reference file before analyzing content. | | Tabular data | Summarize dimensions, types, missingness, ranges, outliers, duplicates, and candidate keys. | | Sequence data | Count records, length distribution, GC content, quality scores when available, and format issues. | | Imaging or arrays | R