plotly-interactive-visualization
CommunityCreate interactive charts with Plotly.
Authorjaechang-hits
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables the creation of dynamic, interactive data visualizations that go beyond static images, making data exploration and presentation more engaging and informative.
Core Features & Use Cases
- Interactive Charts: Generate over 40 types of charts (scatter, line, bar, heatmap, 3D, geographic) with features like hover tooltips, zoom, and pan.
- Exploratory Dashboards: Build multi-panel dashboards for in-depth data analysis.
- Web-Embeddable Output: Export visualizations as standalone HTML files or integrate them into web applications using Dash.
- Use Case: Visualize complex multi-dimensional scientific data, allowing researchers to interactively explore relationships, identify outliers, and present findings dynamically.
Quick Start
Use the plotly-interactive-visualization skill to create a scatter plot from the provided pandas DataFrame named 'sample_data'.
Dependency Matrix
Required Modules
plotlypandasnumpykaleidodash
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: plotly-interactive-visualization Download link: https://github.com/jaechang-hits/SciAgent-Skills/archive/main.zip#plotly-interactive-visualization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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