Imported from majiayu000/claude-skill-registry (skills/data/d3js-visualizations/SKILL.md). Install upstream with npx skills add majiayu000/claude-skill-registry --skill d3js-visualizations. Copyright stays with the author.

D3.js Visualizations Skill

Build interactive, web-based data visualizations using D3.js (Data-Driven Documents).

When to Use

• Interactive charts and graphs
• Custom data visualizations
• Geographic maps
• Network diagrams
• Real-time dashboards

Core Capabilities

• Bar, line, scatter, area charts
• Force-directed graphs
• Geographic maps (choropleth, bubble maps)
• Hierarchical data (treemaps, sunburst)
• Custom SVG visualizations
• Data transitions and animations
• Interactive tooltips and zoom

Example: Bar Chart

import * as d3 from 'd3';

const data = [30, 86, 168, 281, 303, 365];

const svg = d3.select('svg');
const width = 800;
const height = 400;

const x = d3.scaleBand()
  .domain(data.map((d, i) => i))
  .range([0, width])
  .padding(0.1);

const y = d3.scaleLinear()
  .domain([0, d3.max(data)])
  .range([height, 0]);

svg.selectAll('rect')
  .data(data)
  .join('rect')
  .attr('x', (d, i) => x(i))
  .attr('y', d => y(d))
  .attr('width', x.bandwidth())
  .attr('height', d => height - y(d))
  .attr('fill', 'steelblue');

Best Practices

• Use responsive SVG viewBox
• Optimize for performance (large datasets)
• Add accessible labels
• Implement smooth transitions
• Handle edge cases

Resources

• D3.js: https://d3js.org/
• Observable: https://observablehq.com/@d3