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

research-visualization

Generate publication-quality scientific figures with Matplotlib, Seaborn, and Plotly.

Updated May 13, 2026
Search Tags:#data analysis#visualization#plotly#matplotlib#seaborn#publication#scientific figures
One-click install
npx skills add https://github.com/Mekann2904/mekann --skill research-visualization
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-visualization
Source: https://github.com/Mekann2904/mekann/tree/main/.pi/lib/skills/research-visualization
Command: npx skills add https://github.com/Mekann2904/mekann --skill research-visualization

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires matplotlib, seaborn, plotly, numpy, pandas, scipy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the creation of publication-quality scientific figures, from exploratory data analysis to final submission-ready visuals, addressing the complex requirements of academic journals.

Core Features & Use Cases

  • Integrated Plotting: Combines Matplotlib, Seaborn, and Plotly for diverse visualization needs.
  • Journal-Specific Formatting: Adapts figures to meet the strict width, resolution, and format requirements of journals like Nature, Science, and Cell.
  • Advanced Features: Supports multi-panel layouts, statistical annotations, colorblind-safe palettes, and interactive web-based dashboards.
  • Use Case: Generate a multi-panel figure with bar plots, line graphs, and scatter plots, formatted precisely for a Nature submission, including appropriate fonts and color schemes.

Quick Start

Use the research-visualization skill to create a publication-ready bar plot for your data.

Frequently Asked Questions about research-visualization

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

FAQPage Schema
How do I create publication-quality scientific figures with journal-specific formatting?▼

Publication-quality scientific figures can be generated by integrating Matplotlib, Seaborn, and Plotly, with support for journal-specific formatting, precise figure aesthetics, and output formats like PDF, EPS, and TIFF.

Can I build multi-panel layouts with statistical annotations for a Nature submission?▼

Yes, multi-panel layouts with statistical annotations can be built and adapted to meet strict width, resolution, and format requirements for journals like Nature, Science, and Cell.

Does this visualization tool support colorblind-safe palettes and interactive dashboards?▼

Colorblind-safe palettes and interactive web-based dashboards are supported, combining static scientific plotting with interactive Plotly visualizations for comprehensive exploratory data analysis.

What's the best way to combine Matplotlib, Seaborn, and Plotly for complex scientific figures?▼

Combining Matplotlib, Seaborn, and Plotly provides diverse visualization capabilities, allowing you to generate complex scientific figures that include bar plots, line graphs, and scatter plots in one workflow.

How do I export scientific visualizations to PDF, EPS, and TIFF formats?▼

Scientific visualizations can be exported to PDF, EPS, and TIFF formats, ensuring submission-ready graphics that meet the strict resolution and output requirements of academic publications.

Do I need NumPy, Pandas, and SciPy to generate submission-ready graphics?▼

NumPy, Pandas, and SciPy are required dependencies for data manipulation and statistical processing, enabling the generation of submission-ready graphics with precise control over figure aesthetics.

Related Skills

Explore More Education & Research Skills→
jaminitachijaminitachi
1

research-analysis

Analyze datasets with descriptive statistics, hypothesis testing, and visualization.

Community
Advanced
ovachieverovachiever
52

scientific-visualization

Generate publication-ready scientific figures with matplotlib, seaborn, and plotly.

Community
Advanced
jkitchinjkitchin
34

python-plotting

Select and apply Matplotlib, Seaborn, or Plotly for Python visualizations.

Community
Intermediate
jluo41jluo41

notebook-cell-python

Convert Python scripts into Jupyter notebooks and Markdown documentation.

Community
Advanced