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plotly

Generate interactive and static data visualizations with the Plotly library.

1|Updated Jan 26, 2026
Search Tags:#dashboards#charts#interactive#data analysis#visualization#plotly
One-click install
npx skills add https://github.com/olavocarvalho/data-agents --skill plotly-olavocarvalho
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plotly
Source: https://github.com/olavocarvalho/data-agents/tree/main/skills/plotly
Command: npx skills add https://github.com/olavocarvalho/data-agents --skill plotly-olavocarvalho

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill empowers users to create a wide range of interactive and publication-quality visualizations from their data, making complex data understandable and engaging.

Core Features & Use Cases

  • Interactive Charts: Generate plots with hover information, zoom, pan, and other interactive features.
  • Diverse Chart Types: Supports over 40 chart types, from basic scatter plots to complex 3D surfaces and maps.
  • Customization: Offers extensive control over layouts, styling, and interactivity.
  • Export Options: Easily export visualizations to HTML, PNG, PDF, and SVG formats.
  • Use Case: Visualize sales data over time with interactive tooltips, allowing users to explore trends and outliers by hovering over data points.

Quick Start

Use the plotly skill to create a scatter plot from the dataframe 'df' with 'x' on the x-axis and 'y' on the y-axis.

Frequently Asked Questions about plotly

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

FAQPage Schema
How do I create interactive charts from a dataframe?▼

You can create interactive charts by generating scatter, bar, or line plots directly from dataframe columns. The resulting visualizations support hover information, zoom, and pan features for detailed data exploration.

What types of interactive data visualizations can I generate for web embedding?▼

Interactive data visualizations for web embedding include over 40 chart types, ranging from basic scatter and bar plots to complex 3D surfaces, heatmaps, and geographic maps. Layouts and styling can be extensively customized.

Can I export interactive visualizations to static image formats like PNG or PDF?▼

Yes, interactive visualizations can be exported to static image formats like PNG, PDF, and SVG, as well as HTML files for web embedding. This allows you to generate publication-quality static images from your interactive plots.

Does this approach support 3D plots and geographic maps for data analysis?▼

Yes, the visualization library supports 3D plots like surface charts and geographic maps for data analysis. You can customize layouts and interactivity to handle complex, multi-dimensional datasets effectively.

What is the best way to customize layouts and styling for publication-quality charts?▼

The best way to customize layouts and styling for publication-quality charts is by using the library's extensive layout controls. You can adjust styling and interactivity settings to ensure visualizations meet publication standards while remaining interactive.

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