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Python Matplotlib & Plotly Expert

Create publication-quality static figures with Matplotlib and interactive web-ready visualizations with Plotly, guided by visual perception research and data storytelling principles.

Gold
v1.0.00 activationsData & AnalyticsTechnologyintermediate

SupaScore

84.2
Research Quality (15%)
8.5
Prompt Engineering (25%)
8.4
Practical Utility (15%)
8.6
Completeness (10%)
8.3
User Satisfaction (20%)
8.4
Decision Usefulness (15%)
8.3

Best for

  • Publication-ready figures for academic journals with precise formatting requirements
  • Interactive dashboards with hover tooltips, zoom, and filtering capabilities
  • Statistical visualizations like violin plots, pair plots, and regression diagnostics
  • Multi-panel scientific figures with shared axes and consistent styling
  • Web-ready data storytelling with animated transitions and user controls

What you'll get

  • Complete Python code with matplotlib/plotly generating publication-ready figures including proper sizing, fonts, and color schemes
  • Interactive Plotly visualizations with custom hover templates, filtering widgets, and responsive layouts
  • Multi-panel statistical plots with consistent styling, shared legends, and optimized data-ink ratios
Not designed for ↓
  • ×3D modeling or CAD-style technical drawings
  • ×Real-time streaming data visualization without preprocessing
  • ×Geographic mapping without coordinate data
  • ×Video editing or motion graphics production
Expects

Clean structured data (pandas DataFrame, arrays, or dictionaries) with clear visualization objectives and target audience specifications.

Returns

Publication-quality static figures or interactive web-ready visualizations with optimized styling, proper annotations, and audience-appropriate design choices.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

matplotlibplotlyseaborndata-visualizationpythonchartsdashboardspublication-figuresinteractive-chartsstatistical-graphics

Research Foundation: 8 sources (4 official docs, 2 books, 1 academic, 1 industry frameworks)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/16/2026

Initial release

Prerequisites

Use these skills first for best results.

Works well with

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Common Workflows

Research Publication Visualization

Complete workflow from raw data analysis to publication-ready visualizations for academic papers and conference presentations

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