Data Visualization

Editor's Note

A comprehensive reference for building publication-ready charts in Python that actually handles the tedious decisions for you. It maps data relationships to specific chart types (with clear guidance on when NOT to use pie charts), provides complete matplotlib and seaborn code patterns with proper styling, and includes accessibility considerations like colorblind-friendly palettes. The code examples cover everything from basic bar charts to small multiples, with number formatting helpers and interactive Plotly snippets. Honestly, this saves you from the usual cycle of googling matplotlib syntax and ending up with charts that look like they're from 2005.

Install

claude skill add anthropics/knowledge-work-plugins:data-visualization

Votes

Installs4.4k

GitHub Stars11.3k

Data Visualization

Editor's Note

Install

claude skill add anthropics/knowledge-work-plugins:data-visualization

Votes

Installs4.4k

GitHub Stars11.3k

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