Data Visualization
anthropics/knowledge-work-pluginsCreating clear and honest charts is an important skill. This guide helps you pick the best chart type for your data. You will learn to write Python code using matplotlib, seaborn, and plotly.
It covers design principles like color theory and accessibility. You will also see which charts to avoid, such as pie charts with many slices or 3D effects. The goal is to make figures that are easy to understand for everyone.
Whether you are a student, analyst, or developer, these tips will improve your data storytelling. You will find ready-to-use code patterns and a chart selection guide to match your data to the right visual.
Add Data Visualization skill to your workflow
Global
mkdir -p ~/.claude/skills/data-visualizationProject
mkdir -p .claude/skills/data-visualizationSource Repository
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