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  1. Skills
  2. /
  3. davila7
  4. /
  5. claude-code-templates
  6. /
  7. Exploratory Data Analysis

Exploratory Data Analysis

Editor's Note

If you routinely work with scientific data files and find yourself writing the same exploratory scripts over and over, this handles the grunt work automatically. Point it at a PDB, FASTQ, mzML, or any of 200+ other scientific formats and it detects the type, extracts format-specific metadata, runs appropriate quality checks, and generates a markdown report with statistical summaries and analysis recommendations. The coverage is impressively broad, spanning chemistry, bioinformatics, microscopy, spectroscopy, proteomics, and metabolomics domains. It's designed for that first-pass exploration step where you just need to understand what you're dealing with before writing actual analysis code. The format-specific intelligence is the real value here: it knows that FASTQ files need quality score analysis while CZI files need channel and dimension extraction.

Install

npx skills add https://github.com/davila7/claude-code-templates --skill exploratory-data-analysis
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Installs1.3k
GitHub Stars27.3k
Categories
Frontend DevelopmentBackend & APIsTesting & QADocumentationCode Review & QualityAI & Agent BuildingData Science & MLAutomation & WorkflowsMarketing & SEODesign & UI/UX
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