data-visualization

Use when creating charts, plots, graphs, dashboards, Excel reports with openpyxl, infographics, generative art, statistical plots, animations, heatmaps, treemaps, sankey diagrams, choropleth maps, geographic maps, network graphs, D3.js custom visualizations, or accessible data visualizations (WCAG, colorblind-safe palettes, alt text for charts). Tools: matplotlib, plotly, seaborn, D3, Dash, p5.js, openpyxl, Pillow, Folium, NetworkX, bokeh.

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仓库: george11642/george-plugins
最近来源活动: 2026年3月11日 22:42
检测到的 SKILL.md 语言: 英语
星标: 2
分支: 0

安装方式

默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。

用 AI 助手安装

复制这段 Prompt，发给你正在使用的 AI 助手。

Follow https://skillsmp.com/skill-install/prompt.md to install only the Agent Skill at https://github.com/george11642/george-plugins/tree/main/plugins/george-setup/skills/data-visualization.

直接命令不会经过审查 Prompt；运行前请先检查来源。

npx skills add https://github.com/george11642/george-plugins --skill data-visualization

命令会保持在同一行。复制前请横向滚动并检查完整内容。

想先保存到本地？可下载 SkillsMP 当前能够提供的文件。

检查来源文件

决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。

文件资源管理器

14 个文件

SKILL.md

来源说明 · 只读预览

name: data-visualization
description: Use when creating charts, plots, graphs, dashboards, Excel reports with openpyxl, infographics, generative art, statistical plots, animations, heatmaps, treemaps, sankey diagrams, choropleth maps, geographic maps, network graphs, D3.js custom visualizations, or accessible data visualizations (WCAG, colorblind-safe palettes, alt text for charts). Tools: matplotlib, plotly, seaborn, D3, Dash, p5.js, openpyxl, Pillow, Folium, NetworkX, bokeh.

# Data Visualization Master skill for static plots, interactive charts, dashboards, infographics, and generative art. Routes to specialized references by task type. ## Task Router | Need | Tool | Reference | |------|------|-----------| | Static plots, publication figures, subplots | Matplotlib | [references/matplotlib.md](references/matplotlib.md) | | Statistical plots (distributions, regressions) | Seaborn + Matplotlib | [references/matplotlib.md](references/matplotlib.md) | | Deep statistical: pairplot, QQ, forest, survival | Seaborn + lifelines | [references/statistical-plots.md](references/statistical-plots.md) | | Interactive charts, hover/zoom/pan | Plotly Express / GO | [references/plotly.md](references/plotly.md) | | Dashboards with callbacks, multi-page apps | Plotly Dash | [references/plotly.md](references/plotly.md) | | Real-time / live dashboards, streaming | Plotly Dash | [references/realtime-dashboards.md](references/realtime-dashboards.md) | | Geographic maps, choropleth, GIS | Plotly / Folium | [references/geographic-maps.md](references/geographic-maps.md) | | Network graphs, Sankey, treemap, sunburst | Plotly + NetworkX | [references/network-graphs.md](references/network-graphs.md) | | WCAG accessibility, color blindness, alt text | Best practices | [references/accessibility-compliance.md](references/accessibility-compliance.md) | | Custom web viz, D3 force layout, React + D3 | D3.js | [references/d3-custom-viz.md](references/d3-custom-viz.md) | | AI-generated infographics, data storytelling | Gemini MCP | [references/infographics.md](references/infographics.md) | | Generative art, flow fields, particle systems | p5.js | [references/generative-art.md](references/generative-art.md) | | Excel charts, pivot tables, conditional formatting | openpyxl | [references/excel-charts.md](references/excel-charts.md) | | Color themes, palette selection, styling | Theme factory | [references/color-themes.md](references/color-themes.md) | | Animated GIFs, PIL animation, easing | Pillow / matplotlib | [references/animated-visualizations.md](references/animated-visualizations.md) | ## Decision Tree ``` Output type? ART (generative, algorithmic) --> p5.js (references/generative-art.md) INFOGRAPHIC (visual storytelling) --> Gemini MCP (references/infographics.md) ANIMATED GIF --> PIL + easing (references/animated-visualizations.md) EXCEL FILE --> openpyxl (references/excel-charts.md) COLOR THEME --> references/color-themes.md DATA CHART --> Interactivity needed? YES + dashboard --> Plotly Dash YES + standalone --> Plotly Express NO + statistical --> Seaborn NO + general --> Matplotlib OO API 3D? --> Plotly (interactive) or mplot3d (static) Maps? --> references/geographic-maps.md Networks? --> references/network-graphs.md Live data? --> references/realtime-dashboards.md Accessibility? --> references/accessibility-compliance.md ``` ## Quick Reference **Matplotlib**: Always OO interface: `fig, ax = plt.subplots(figsize=(10,6), constrained_layout=True)`. Save: `plt.savefig('fig.png', dpi=300, bbox_inches='tight')`. Close: `plt.close(fig)`. **Plotly**: Two APIs — `px` (high-level) and `go` (fine control). Export: `write_html()` (interactive) or `write_image()` (static, needs kaleido). **Colormaps**: `viridis` (default), `cividis` (colorblind-safe), `coolwarm` (diverging). Avoid `jet`. **Accessibility**: Colorblind-safe palettes always. Never encode meaning with color alone. Add patterns/markers alongside color. Min contrast 4.5:1 text, 3:1 graphical. Alt text for every saved image. **Performance**: >100k points → `rasterized=True` (mpl) or `scattergl` (Plotly). Always `plt.close(fig)` after saving. ## Layer 3 Skills | Skill | Use when | |-------|----------| | `matplotlib` | Static plots, publication figures, animations | | `plotly` | Interactive charts, Dash dashboards | | `statistical-plots` | Pairplot, QQ, forest plot, survival analysis | | `generative-art` | p5.js algorithmic art, flow fields | | `infographics` | AI-generated visual data storytelling | | `geographic-maps` | Choropleth, scatter maps, Folium, GIS | | `network-graphs` | Sankey, treemap, force-directed, NetworkX | | `realtime-dashboards` | Live/streaming data, dcc.Interval | | `d3-custom-viz` | Custom D3.js, React + D3 | | `excel-charts` | openpyxl charts, pivot tables | | `color-themes` | Palette selection, professional styling | | `animated-visualizations` | GIFs, PIL animation, easing functions | | `accessibility-compliance` | WCAG, color blindness, ARIA |

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