Does this skill support geographic data visualization?

Absolutely. Plotly supports a wide range of maps, including scatter maps, choropleth maps, and density maps for both global and regional geographic analysis.

When should I use Plotly Express versus Graph Objects?

Use Plotly Express for quick, standard visualizations with sensible defaults and minimal code. Use Graph Objects when you need fine-grained control over individual components or specialized chart types not available in the high-level API.

Are the visualizations generated by this skill interactive?

Yes, Plotly outputs are interactive by default when saved as HTML, featuring built-in capabilities like zoom, pan, hover tooltips, and legend toggling.

Can I integrate these charts into a web application?

Yes, Plotly is designed to integrate seamlessly with Dash, which is Plotly's framework for building analytical web applications using Python.

Can I export Plotly charts as static images?

Yes, by installing the 'kaleido' package, you can export your interactive figures to static formats such as PNG, PDF, and SVG using the write_image() method.

Plotly Visualization

Name: Plotly Visualization
Author: Activer007

byActiver007

Ciencia de Datos y ML

Generates interactive, publication-quality scientific and statistical visualizations using the Plotly Python library.

Acerca de

This skill empowers Claude to create and customize over 40 distinct chart types, ranging from basic scatter plots to complex 3D meshes and financial candlestick charts. It provides expert guidance on navigating the Plotly ecosystem, helping users choose between the streamlined Plotly Express API for rapid prototyping and Graph Objects for fine-grained control. By implementing best practices for data styling, subplots, and interactive features like animations and hover tooltips, this skill ensures high-impact data representation for research, business intelligence, and scientific reporting.

Características Principales

Granular figure customization using Graph Objects for complex, multi-trace plots
Multi-format export capabilities for interactive HTML or static images like PNG, PDF, and SVG
0 GitHub stars
Support for 40+ chart types including statistical, financial, 3D, and geographic maps
High-level API integration via Plotly Express for rapid pandas DataFrame visualization
Interactive feature implementation including zoom, pan, hover templates, and animations

Casos de Uso

Creating publication-quality scientific visualizations for research papers and presentations
Developing interactive data dashboards and statistical reports from complex datasets
Building financial time-series charts with integrated range sliders and selectors

Acerca de

Características Principales

Granular figure customization using Graph Objects for complex, multi-trace plots
Multi-format export capabilities for interactive HTML or static images like PNG, PDF, and SVG
0 GitHub stars
Support for 40+ chart types including statistical, financial, 3D, and geographic maps
High-level API integration via Plotly Express for rapid pandas DataFrame visualization
Interactive feature implementation including zoom, pan, hover templates, and animations

Casos de Uso

Creating publication-quality scientific visualizations for research papers and presentations
Developing interactive data dashboards and statistical reports from complex datasets
Building financial time-series charts with integrated range sliders and selectors