skills.rest
Mekann2904
Mekann2904COMMUNITY
Explore all skills by this author →
Website𝕏@Mekann2904GitHub

exploratory-data-analysis

Automates exploratory data analysis of scientific file formats and generates Markdown reports.

Updated May 13, 2026
Search Tags:#reporting#data analysis#bioinformatics#scientific data#chemistry#file format#eda
One-click install
npx skills add https://github.com/Mekann2904/mekann --skill exploratory-data-analysis-mekann2904
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: exploratory-data-analysis
Source: https://github.com/Mekann2904/mekann/tree/main/.pi/lib/skills/exploratory-data-analysis
Command: npx skills add https://github.com/Mekann2904/mekann --skill exploratory-data-analysis-mekann2904

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, scipy, biopython, pysam, pybigwig, rdkit, mdanalysis, tifffile, nd2reader, aicsimageio, pydicom, scikit-image, nmrglue, pymzml, pyteomics, matchms, h5py, zarr, openpyxl, pillow, matplotlib, seaborn, and includes scripts (resource) and references (resource) and assets (resource) components.

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 .fastq format 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'.

Frequently Asked Questions about exploratory-data-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform exploratory data analysis on scientific file formats like FASTQ or PDB?▼

Exploratory data analysis on scientific file formats is automated by detecting file types, assessing data quality, and generating Markdown reports with statistical summaries and actionable recommendations.

Can I analyze bioinformatics data from sequencing experiments without manually writing pandas code?▼

Yes, you can analyze bioinformatics data automatically. The skill detects formats like FASTQ, extracts metadata, calculates read counts and GC content, and outputs a comprehensive analysis report.

What is the best way to assess data quality in chemistry and proteomics datasets?▼

The best way to assess data quality in chemistry and proteomics datasets is through automated detection of formats like MZML or PDB, which evaluates structural integrity and generates statistical summaries.

Does automated EDA support microscopy file formats such as TIFF and DICOM?▼

Automated EDA supports microscopy file formats including TIFF, DICOM, ND2, and HDF5. It extracts metadata, evaluates image dimensions, and provides quality assessments within a Markdown report.

What are the limitations of automated scientific data analysis for spectroscopy files?▼

Limitations include dependency on supported libraries like nmrglue and pyteomics; unsupported or corrupted spectroscopy files may fail automated detection, requiring manual preprocessing before analysis.

Do I need specific Python libraries installed to detect and analyze over 200 scientific file formats?▼

Yes, analyzing 200 scientific file formats requires dependencies like biopython, rdkit, mdanalysis, and pydicom to parse domain-specific data, extract metadata, and generate statistical summaries.

Related Skills

Explore More Education & Research Skills→
WanLanglinWanLanglin

exploratory-data-analysis

Detect scientific data file formats and generate Markdown EDA reports.

Community
Advanced
Mekann2904Mekann2904

research-data-analysis

Perform exploratory data analysis on over 200 scientific file formats and generate markdown reports.

Community
Advanced
Casper-StudiosCasper-Studios
11

csv-analyzer

Analyze CSV datasets with statistics, quality checks, and visualizations.

Official
Intermediate
dakesandakesan
2

exploratory-data-analysis

Detect scientific data file formats and generate Markdown analysis reports.

Community
Intermediate