dataviz-skills
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ChineseData Visualization — 14 Skills
数据可视化——14项技能
Select the skill matching the user's need, then its SKILL.md.
read| Skill | Description |
|---|---|
| algorithm-visualizer-guide | Guide to Algorithm Visualizer for interactive algorithm exploration |
| bokeh-visualization-guide | Guide to Bokeh for interactive browser-based research visualizations |
| chart-image-generator | Generate publication-quality chart images from research data |
| color-accessibility-guide | Colorblind-friendly palettes and accessible visualization design |
| d3-visualization-guide | Guide to D3.js for building custom interactive data visualizations |
| echarts-visualization-guide | Guide to Apache ECharts for interactive research data dashboards |
| geospatial-viz-guide | Create maps, choropleths, and spatial data visualizations for research |
| interactive-viz-guide | Interactive data visualization with Plotly, ECharts, and D3 |
| metabase-analytics-guide | Guide to Metabase for open-source research data analytics and dashboards |
| network-visualization-guide | Visualize networks, graphs, citation maps, and relational data |
| plotly-interactive-guide | Guide to Plotly.py for interactive scientific visualizations in Python |
| publication-figures-guide | Create journal-quality scientific figures with proper styling and accessibility |
| python-dataviz-guide | Publication-quality data visualization with matplotlib, seaborn, and plotly |
| redash-analytics-guide | Guide to Redash for SQL-driven research data dashboards and sharing |
选择符合用户需求的技能，然后其SKILL.md文件。
read| Skill | Description |
|---|---|
| algorithm-visualizer-guide | Algorithm Visualizer使用指南：交互式算法探索 |
| bokeh-visualization-guide | Bokeh使用指南：基于浏览器的交互式研究可视化 |
| chart-image-generator | 基于研究数据生成出版物级别的图表图像 |
| color-accessibility-guide | 色盲友好型调色板及无障碍可视化设计 |
| d3-visualization-guide | D3.js使用指南：构建自定义交互式数据可视化 |
| echarts-visualization-guide | Apache ECharts使用指南：交互式研究数据仪表盘 |
| geospatial-viz-guide | 为研究创建地图、分级统计图及空间数据可视化 |
| interactive-viz-guide | 使用Plotly、ECharts和D3实现交互式数据可视化 |
| metabase-analytics-guide | Metabase使用指南：开源研究数据分析与仪表盘 |
| network-visualization-guide | 可视化网络、图形、引用图谱及关联数据 |
| plotly-interactive-guide | Plotly.py使用指南：Python中的交互式科学可视化 |
| publication-figures-guide | 创建符合期刊标准的科学图形，包含恰当样式与无障碍设计 |
| python-dataviz-guide | 使用matplotlib、seaborn和plotly制作出版物级别的数据可视化 |
| redash-analytics-guide | Redash使用指南：基于SQL的研究数据仪表盘与共享 |