research-data-analysis

Community

Unlock insights from 200+ scientific file formats.

AuthorMekann2904
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill tackles the challenge of analyzing diverse and complex scientific data formats, enabling rapid exploration and understanding of research datasets.

Core Features & Use Cases

  • Universal Format Support: Handles over 200 scientific file types including chemical, biological, imaging, and general data formats.
  • Automated EDA: Performs comprehensive Exploratory Data Analysis (EDA) including format detection, data quality assessment, statistical summaries, and visualization recommendations.
  • Large Data Handling: Integrates Dask, Vaex, and Polars for efficient processing of datasets that exceed RAM.
  • Document Conversion: Converts formats like PDF, DOCX, and XLSX to Markdown.
  • Use Case: You have a new dataset in a FITS file from an astronomical observation. This Skill can automatically detect the format, load the data, provide basic statistics, suggest relevant visualizations, and generate a markdown report summarizing its characteristics.

Quick Start

Use the research-data-analysis skill to analyze the file 'my_experiment_data.mzML'.

Dependency Matrix

Required Modules

pandaspolarsdaskvaexmarkitdownbiopythonpillownumpyh5pyscipytifffilepydicomnibabelrasteriopymzmlnmrgluegemmiastropycclibpyarrowmagic

Components

scriptsreferencesassets

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: research-data-analysis
Download link: https://github.com/Mekann2904/mekann/archive/main.zip#research-data-analysis

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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