exploratory-data-analysis

1# Exploratory Data Analysis
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3## Overview
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5Perform 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.
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7**Key Capabilities:**
8- Automatic detection and analysis of 200+ scientific file formats
9- Comprehensive format-specific metadata extraction
10- Data quality and integrity assessment
11- Statistical summaries and distributions
12- Visualization recommendations
13- Downstream analysis suggestions
14- Markdown report generation
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16## When to Use This Skill
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18Use this skill when:
19- User provides a path to a scientific data file for analysis
20- User asks to "explore", "analyze", or "summarize" a data file
21- User wants to understand the structure and content of scientific data
22- User needs a comprehensive report of a dataset before analysis
23- User wants to assess data quality or completeness
24- User asks what type of analysis is appropriate for a file
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26## Supported File Categories
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28The skill has comprehensive coverage of scientific file formats organized into six major categories:
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30### 1. Chemistry and Molecular Formats (60+ extensions)
31Structure files, computational chemistry outputs, molecular dynamics trajectories, and chemical databases.
32…