exploratory-data-analysis
CommunityUnlock insights from scientific data.
Education & Research#reporting#data analysis#bioinformatics#scientific data#chemistry#file format#eda
AuthorMekann2904
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the process of understanding complex scientific data files, saving researchers significant time and effort in initial data exploration.
Core Features & Use Cases
- Automated File Type Detection: Identifies over 200 scientific file formats across various domains.
- Comprehensive EDA Reports: Generates detailed Markdown reports including data structure, quality assessment, and statistical summaries.
- Use Case: You have a new dataset in a
.fastqformat from a sequencing experiment. This Skill will automatically detect it's a FASTQ file, analyze read counts, quality scores, and GC content, and provide a summary report with recommendations for further analysis.
Quick Start
Use the exploratory-data-analysis skill to analyze the file 'my_experiment.pdb'.
Dependency Matrix
Required Modules
pandasnumpyscipybiopythonpysampybigwigrdkitmdanalysistifffilend2readeraicsimageiopydicomscikit-imagenmrgluepymzmlpyteomicsmatchmsh5pyzarropenpyxlpillowmatplotlibseaborn
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: exploratory-data-analysis Download link: https://github.com/Mekann2904/mekann/archive/main.zip#exploratory-data-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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