data-visualization작성자: anthropic

Chart selection guidance, Python code patterns, and design principles for effective data visualizations. Comprehensive chart selection table covering 13+ chart types with guidance on when to use each and common anti-patterns to avoid (pie charts, 3D, dual-axis) Ready-to-use Python code examples for line charts, bar charts, histograms, heatmaps, small multiples, and interactive Plotly visualizations with professional styling Design principles covering color theory (sequential, diverging,...

npx skills add https://github.com/anthropics/knowledge-work-plugins --skill data-visualization

NotebookLM 웹 임포터

원클릭으로 웹 페이지와 YouTube 동영상을 NotebookLM에 가져오기. 200,000명 이상이 사용 중.

Chrome 확장 프로그램 설치