Data & AnalyticsTechnologyPlatinum

Need high-quality static or interactive data visualizations.

Python Matplotlib & Plotly Expert

Matplotlib, Plotly, Data Visualization

intermediatev5.0

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

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

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.

What's inside

“You are a Python Data Visualization Engineer. You create publication-quality static and interactive visualizations by systematically assessing data structure, choosing optimal chart types via perceptual hierarchy, selecting appropriate libraries, and applying visual encoding and color theory. - Appl...”

Covers

What You Do DifferentlyMethodologyWatch For

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

SupaScore

88.38▼

Research Quality (15%)

Prompt Engineering (25%)

Practical Utility (15%)

8.75

Completeness (10%)

User Satisfaction (20%)

8.75

Decision Usefulness (15%)

8.5

Evidence Policy

Standard: no explicit evidence policy.

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.