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plotly

Generate interactive, web-embeddable Plotly charts from your data.

1|Updated Mar 12, 2026
Search Tags:#charts#dashboard#interactive#data analysis#visualization#plotly
One-click install
npx skills add https://github.com/yf8578/clawomics --skill plotly-yf8578
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plotly
Source: https://github.com/yf8578/clawomics/tree/main/skills/plotly
Command: npx skills add https://github.com/yf8578/clawomics --skill plotly-yf8578

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

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

Core Features & Use Cases

  • Interactive Charts: Generate plots with hover info, zoom, pan, and web-embeddable capabilities.
  • 40+ Chart Types: Supports basic, statistical, scientific, financial, map, and 3D charts.
  • Use Case: Visualize experimental results with interactive scatter plots, create dynamic dashboards from time-series data, or present complex multi-omics data with interactive heatmaps and volcano plots.

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 for exploratory data analysis?▼

Interactive charts for exploratory data analysis are generated using the Plotly library, providing hover info, zoom, and pan features. It supports over 40 chart types, including scatter, bar, and heatmap visualizations.

Can I generate 3D plots and maps from my dataframe for a dashboard?▼

3D plots and maps can be generated directly from your dataframe for dashboard creation. The Skill supports scientific, financial, and statistical chart types with full interactivity for web embedding.

What is the best way to export interactive visualizations to HTML?▼

Interactive visualizations can be exported to web-embeddable HTML or static image formats. This allows you to present complex data dynamically on the web or in static reports.

Does this approach support publication-quality statistical charts like volcano plots?▼

Publication-quality statistical charts like volcano plots are fully supported. You can present complex multi-omics data using interactive heatmaps and various other scientific chart types.

What are the limitations when using Plotly for web-embeddable dashboards?▼

Plotly is primarily used for exploratory data analysis and dashboard creation, but complex customizations may require deeper knowledge of the library. It focuses on generating web-ready charts rather than full dashboard application frameworks.

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