Data Visualization
技能 活跃Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.
To empower users to create effective, publication-quality data visualizations with Python by providing best practices, code examples, and guidance on choosing the right chart types.
功能
- Chart selection guidance based on data relationships
- Python code patterns for various chart types
- Design principles for effective visualizations
- Accessibility considerations for charts
- Interactive chart examples with Plotly
使用场景
- Building charts for reports and presentations
- Choosing the optimal chart type for a given dataset
- Creating publication-quality figures
- Applying design principles like accessibility and color theory to visualizations
非目标
- Creating charts without Python
- Providing advanced statistical analysis beyond visualization
- Building interactive dashboards that require a web framework
Trust
- warning:Issues AttentionIn the last 90 days, 29 issues were opened and 4 were closed (closure rate < 10%), indicating slow maintainer response to open issues.
安装
请先添加 Marketplace
/plugin marketplace add anthropics/knowledge-work-plugins/plugin install data@knowledge-work-plugins质量评分
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