Generates interactive, publication-quality scientific and statistical visualizations for Python data analysis.
This skill empowers Claude to create sophisticated, interactive charts and dashboards using the Plotly library. It provides a comprehensive framework for generating over 40 types of visualizations, ranging from basic scatter plots and line charts to complex 3D meshes, financial candlesticks, and geographic maps. By guiding Claude through the choice between Plotly Express for rapid development and Graph Objects for granular customization, the skill ensures high-quality data presentation for scientific research, financial reporting, and web-based data applications.
Key Features
01Support for 40+ interactive chart types including 3D, statistical, and financial plots.
02High-level API guidance with Plotly Express for rapid, DataFrame-driven visualization.
03Interactive exporting to standalone HTML and static image generation (PNG, PDF, SVG).
040 GitHub stars
05Granular control using Graph Objects for complex, multi-trace figure customization.
06Seamless integration patterns for Dash web-based dashboards and applications.
Use Cases
01Visualizing complex scientific datasets with 3D surfaces, heatmaps, and contour plots.
02Creating interactive financial dashboards with candlestick, waterfall, and OHLC charts.
03Developing statistical reports using automated distribution, box, and violin plot generation.
