exploratory-data-analysis

# 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 ## Supported File Categories The skill has comprehensive coverage of scientific file formats organized into six major categories: ### 1. Chemistry and Molecular Formats (60+ extensions) Structure files, computational chemistry outputs, molecular dynamics trajectories, and chemical databases. **File types include:** `.pdb`, `.cif`, `.mol`, `.mol2`, `.sdf`, `.xyz`, `.smi`, `.gro`, `.log`, `.fchk`, `.cub...