Generates interactive, publication-quality scientific and statistical charts using the Plotly Python library.
This skill empowers Claude to design and implement sophisticated data visualizations, ranging from standard line and bar charts to complex 3D meshes, geographic maps, and financial dashboards. It provides expert guidance on navigating Plotly's dual-API structure—using Plotly Express for rapid prototyping with sensible defaults and Graph Objects for granular, low-level control over every visual element. Whether you are conducting exploratory data analysis or preparing publication-ready figures, this skill ensures best practices for interactivity, styling, and multi-format exporting.
주요 기능
01Seamless integration with Pandas DataFrames and Dash web applications
021 GitHub stars
03Advanced layout management with subplots and custom styling templates
04Built-in support for interactive HTML and static image exports (PNG, SVG, PDF)
05Support for 40+ chart types including 3D, geographic, and financial plots
06Dual-API guidance for both Plotly Express and Graph Objects
사용 사례
01Developing interactive financial dashboards with time-series and candlestick charts
02Generating automated statistical reports with distribution and box plots
03Creating scientific heatmaps and 3D surface plots for research data analysis
