Exploratory Data Analysis

zLanqing/codex-claude-academic-skills/scientific-toolkit-skill/references/scientific-skills/exploratory-data-analysis

by zLanqing7ed6377f0efb6a38951b48ef03b19d996e454b1fMIT licenseListed Oct 9, 2026Updated Oct 9, 2026

Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.

Includes scriptsData & Analytics

Only the file list is public. File contents are available once the skill is installed in a workspace.

PathSizeType
assets/report_template.md3.4 KBtext/markdown
references/bioinformatics_genomics_formats.md20.7 KBtext/markdown
references/chemistry_molecular_formats.md21.5 KBtext/markdown
references/general_scientific_formats.md14.9 KBtext/markdown
references/microscopy_imaging_formats.md18.1 KBtext/markdown
references/proteomics_metabolomics_formats.md15.2 KBtext/markdown
references/spectroscopy_analytical_formats.md17.6 KBtext/markdown
scripts/eda_analyzer.py20.8 KBtext/plain
SKILL.md14 KBtext/markdown

Source and attribution

Source:zLanqing/codex-claude-academic-skillsinscientific-toolkit-skill/references/scientific-skills/exploratory-data-analysisat commit7ed6377

License: MIT license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

Report or request removal