d3-viz

Create interactive D3 visualizations with SVG control across web frameworks.

1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/shige1014-dev/backup-OpenMontage --skill d3-viz-shige1014-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: d3-viz
Source: https://github.com/shige1014-dev/backup-OpenMontage/tree/main/.agents/skills/d3-viz
Command: npx skills add https://github.com/shige1014-dev/backup-OpenMontage --skill d3-viz-shige1014-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

Building bespoke, interactive data visualisations often requires fine-grained control over SVG elements, transitions, layouts, and user interactions that standard charting libraries cannot provide. This Skill reduces the complexity of implementing custom charts, responsive sizing, advanced interactions (zoom, brush, drag), and accessibility best practices across web frameworks.

Core Features & Use Cases

  • Custom chart construction: guidance for bar, line, area, scatter, stacked/grouped bars, and bubble charts with scale selection and axis formatting.
  • Advanced layouts and networks: force-directed graphs, chord diagrams, hierarchical trees, treemaps, and sunbursts with data-to-visual mapping patterns.
  • Geographic visualisations: projections, choropleths, and point overlays with fitSize and geoPath guidance.
  • Interactions & animations: tooltips, zoom/pan, brush, drag, enter/update/exit transitions, and path morphing strategies.
  • Performance & accessibility: advice on canvas fallbacks for large datasets, ResizeObserver for responsiveness, ARIA, and color-blind friendly palettes.
  • Reusable resources: includes reference patterns, color/scale guides, and sample datasets to bootstrap work.

Quick Start

Create a responsive D3 scatter plot of the provided dataset with tooltips, zoom/pan, and an accessible legend.

Frequently Asked Questions about d3-viz

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create custom interactive data visualizations with fine-grained SVG control?

Custom interactive data visualizations with fine-grained SVG control are built using D3 modules for scales, layouts, axes, and transitions, enabling tailored charts, network graphs, and geographic maps across web frameworks like React, Vue, or Svelte.

Can I use D3 for geographic visualizations and choropleth maps?

D3 supports geographic visualizations by providing projections, geoPath guidance, and fitSize functionality to render choropleths and point overlays precisely within custom SVG map elements.

What is the best way to handle high-density data rendering in D3?

High-density data rendering in D3 is handled using canvas fallbacks instead of SVG elements, ensuring performance remains optimal when displaying large datasets with complex interactive explorers.

Does this D3 visualization approach work with modern web frameworks?

This D3 visualization approach works with modern web frameworks including React, Vue, Svelte, and vanilla JavaScript, integrating custom SVG charts and transitions seamlessly into component-based architectures.

How do you implement advanced interactions like zoom, brush, and drag in SVG charts?

Advanced interactions like zoom, brush, and drag are implemented in SVG charts using dedicated D3 modules, combining enter, update, and exit transitions to create smooth, interactive data explorers.

Why use D3 for custom charts instead of standard charting libraries?

D3 is used for custom charts instead of standard charting libraries when applications require fine-grained control over SVG elements, bespoke layouts like force-directed graphs, and complex transition-heavy interactive explorers.