exploratory-data-analysislisted

# Exploratory Data Analysis ## Overview Inspect scientific files before downstream analysis. The bundled script recognizes more than 100 simple and compound suffixes and writes a bounded Markdown report. It performs content-level analysis only for the common formats listed below; other recognized formats receive file metadata and a reference-catalog entry. The six reference files contain 239 format entries. Some entries describe the same suffix in different domain contexts, so this is not a count of unique formats or implemented parsers. **Bundled content parsers:** - NumPy arrays (`.npy`, `.npz`), CSV/TSV samples, JSON, and HDF5 - FASTA and FASTQ, including common gzip-compressed suffixes - TIFF/OME-TIFF, PNG, and JPEG raster images - Reference-only metadata for every other recognized suffix - Representative streaming analyzers for PDB/SDF/SMILES, MGF/mzML/mzXML, and mzTab families; proprietary binary formats remain reference-only unless their project environment supplies a reader. ## 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 structure-and-quality report 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 | Detec