What specialized chart types are included?

It supports over 40 types, including 3D surfaces, geographic choropleths, financial candlesticks, Sankey diagrams, and statistical violin plots.

Does this skill support both Plotly Express and Graph Objects?

Yes, it provides guidance and implementation patterns for both the high-level Plotly Express API for speed and the granular Graph Objects API for custom control.

Can I create interactive web dashboards?

Yes, the skill covers multi-plot dashboard creation using subplots and provides patterns for integrating visualizations into Dash web applications.

Can I export charts created with this skill as static images?

Yes, the skill includes documentation for exporting visualizations as PNG, PDF, and SVG files using the kaleido engine.

Does it work with Pandas DataFrames?

Absolutely. The skill is optimized for data science workflows, particularly using Plotly Express which is designed to work directly with Pandas DataFrames.

Plotly Data Visualization

Name: Plotly Data Visualization
Author: ricable

byricable

•

Data Science & ML

Generates interactive, publication-quality scientific and statistical charts using the Plotly Python library.

About

This skill empowers Claude to design and implement sophisticated data visualizations, ranging from standard line and bar charts to complex 3D meshes, geographic maps, and financial dashboards. It provides expert guidance on navigating Plotly's dual-API structure—using Plotly Express for rapid prototyping with sensible defaults and Graph Objects for granular, low-level control over every visual element. Whether you are conducting exploratory data analysis or preparing publication-ready figures, this skill ensures best practices for interactivity, styling, and multi-format exporting.

Key Features

Seamless integration with Pandas DataFrames and Dash web applications
1 GitHub stars
Advanced layout management with subplots and custom styling templates
Built-in support for interactive HTML and static image exports (PNG, SVG, PDF)
Support for 40+ chart types including 3D, geographic, and financial plots
Dual-API guidance for both Plotly Express and Graph Objects

Use Cases

Developing interactive financial dashboards with time-series and candlestick charts
Generating automated statistical reports with distribution and box plots
Creating scientific heatmaps and 3D surface plots for research data analysis

About

Key Features

Seamless integration with Pandas DataFrames and Dash web applications
1 GitHub stars
Advanced layout management with subplots and custom styling templates
Built-in support for interactive HTML and static image exports (PNG, SVG, PDF)
Support for 40+ chart types including 3D, geographic, and financial plots
Dual-API guidance for both Plotly Express and Graph Objects

Use Cases

Developing interactive financial dashboards with time-series and candlestick charts
Generating automated statistical reports with distribution and box plots
Creating scientific heatmaps and 3D surface plots for research data analysis