Can I export charts as static images?

Absolutely. The skill covers exporting to interactive HTML as well as static formats like PNG, PDF, and SVG using the Kaleido engine.

Does this skill support both Plotly Express and Graph Objects?

Yes, it provides guidance for both the high-level Plotly Express API for speed and the low-level Graph Objects for fine-grained customization.

How do I handle multi-plot layouts?

The skill includes instructions for using make_subplots to create complex, multi-chart figures with shared axes, custom positioning, and coordinated styling.

Is it possible to create geographic maps?

Yes, Plotly supports various geographic map types including choropleth, scatter maps, and density maps for spatial data visualization.

Plotly Data Visualization

Name: Plotly Data Visualization
Author: Microck

byMicrock

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Data Science & ML

Generates interactive, publication-quality data visualizations and dashboards using the Plotly Python library.

About

This skill empowers Claude to assist in creating sophisticated data visualizations using Plotly, covering everything from rapid prototyping with Plotly Express to detailed customization via Graph Objects. It provides implementation patterns for over 40 chart types, including 3D plots, geographic maps, and financial charts. Whether you need to build interactive dashboards with Dash, generate statistical distributions, or export high-resolution static images for reports, this skill ensures best practices for data-driven storytelling and exploratory analysis.

Key Features

81 GitHub stars
High-level Plotly Express integration for rapid chart generation
Fine-grained control via Graph Objects for complex custom visualizations
Support for 40+ interactive chart types including 3D, maps, and subplots
Interactive HTML export and static image generation (PNG, PDF, SVG)
Comprehensive layout styling including templates, colors, and annotations

Use Cases

Visualizing scientific data using 3D surfaces, heatmaps, and ternary plots
Building interactive business intelligence dashboards and financial reports
Generating publication-ready statistical charts like violin, box, and distribution plots

About

Key Features

81 GitHub stars
High-level Plotly Express integration for rapid chart generation
Fine-grained control via Graph Objects for complex custom visualizations
Support for 40+ interactive chart types including 3D, maps, and subplots
Interactive HTML export and static image generation (PNG, PDF, SVG)
Comprehensive layout styling including templates, colors, and annotations

Use Cases

Visualizing scientific data using 3D surfaces, heatmaps, and ternary plots
Building interactive business intelligence dashboards and financial reports
Generating publication-ready statistical charts like violin, box, and distribution plots