exploratory-data-analysis

原文涵盖的主题

• Exploratory Data Analysis
• Overview
• When to Use This Skill
• Supported File Categories
• 1. Chemistry and Molecular Formats (60+ extensions)
• 2. Bioinformatics and Genomics Formats (50+ extensions)
• 3. Microscopy and Imaging Formats (45+ extensions)
• 4. Spectroscopy and Analytical Chemistry Formats (35+ extensions)

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 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 The skill has comprehensive coverage of scientific file formats organized into six major categories: Structure files, computational chemistry outputs, molecular dynamics trajectories, and chemical databases. F

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