Canvas Design

Canvas Design

Overview

Create performant, accessible, and visually compelling graphics using HTML Canvas 2D, SVG, and data visualization libraries. This skill covers everything from low-level pixel manipulation to high-level chart composition with D3.js, including generative art, interactive graphics, and animation.

Phase 1: Requirements Analysis

1. Determine output type (static, animated, interactive, data-driven) 2. Choose rendering technology (Canvas 2D, SVG, WebGL, hybrid) 3. Identify data sources and update frequency 4. Define accessibility requirements for the visualization 5. Set performance budget (frame rate, element count)

STOP — Present technology recommendation with rationale before implementation.

Technology Selection Decision Table

When to Use Each Technology

Phase 2: Implementation

1. Set up responsive canvas/SVG container 2. Implement rendering pipeline (clear, update, draw) 3. Add interaction handlers (hover, click, drag, zoom) 4. Optimize render loop (requestAnimationFrame, dirty rectangles) 5. Add accessibility layer (ARIA, screen reader descriptions)

STOP — Verify rendering works correctly at target frame rate before adding polish.

Canvas 2D API Patterns

Responsive Canvas Setup

function createResponsiveCanvas(container) {
  const canvas = document.createElement('canvas');
  const ctx = canvas.getContext('2d');
  const dpr = window.devicePixelRatio || 1;

  function resize() {
    const rect = container.getBoundingClientRect();
    canvas.width = rect.width * dpr;
    canvas.height = rect.height * dpr;
    canvas.style.width = `${rect.width}px`;
    canvas.style.height = `${rect.height}px`;
    ctx.scale(dpr, dpr);
  }

  const observer = new ResizeObserver(resize);
  observer.observe(container);
  container.appendChild(canvas);
  resize();

  return { canvas, ctx, destroy: () => observer.disconnect() };
}

Animation Loop Pattern

function createAnimationLoop(drawFn) {
  let rafId = null;
  let lastTime = 0;

  function loop(timestamp) {
    const deltaTime = timestamp - lastTime;
    lastTime = timestamp;
    drawFn(deltaTime, timestamp);
    rafId = requestAnimationFrame(loop);
  }

  return {
    start: () => { rafId = requestAnimationFrame(loop); },
    stop: () => { cancelAnimationFrame(rafId); rafId = null; },
    isRunning: () => rafId !== null,
  };
}

Dirty Rectangle Optimization

class DirtyRectRenderer {
  constructor(ctx, width, height) {
    this.ctx = ctx;
    this.dirtyRects = [];
    this.objects = [];
  }

  markDirty(x, y, w, h) {
    this.dirtyRects.push({ x, y, w, h });
  }

  render() {
    for (const rect of this.dirtyRects) {
      this.ctx.clearRect(rect.x, rect.y, rect.w, rect.h);
      for (const obj of this.objects) {
        if (this.intersects(obj.bounds, rect)) {
          obj.draw(this.ctx);
        }
      }
    }
    this.dirtyRects = [];
  }
}

SVG Patterns

Programmatic SVG Creation

function createSVG(width, height, viewBox) {
  const svg = document.createElementNS('http://www.w3.org/2000/svg', 'svg');
  svg.setAttribute('width', '100%');
  svg.setAttribute('height', '100%');
  svg.setAttribute('viewBox', viewBox || `0 0 ${width} ${height}`);
  svg.setAttribute('role', 'img');
  return svg;
}

SVG Accessibility

<svg role="img" aria-labelledby="chart-title chart-desc">
  <title id="chart-title">Monthly Revenue Chart</title>
  <desc id="chart-desc">Bar chart showing revenue from Jan to Dec 2025</desc>
  <!-- chart content -->
</svg>

D3.js Integration Patterns

Data Join Pattern (D3 v7)

function updateBars(svg, data) {
  const bars = svg.selectAll('.bar')
    .data(data, d => d.id);

  bars.exit()
    .transition().duration(300)
    .attr('opacity', 0)
    .remove();

  bars.enter()
    .append('rect')
    .attr('class', 'bar')
    .attr('opacity', 0)
    .merge(bars)
    .transition().duration(500)
    .attr('x', d => xScale(d.label))
    .attr('y', d => yScale(d.value))
    .attr('width', xScale.bandwidth())
    .attr('height', d => height - yScale(d.value))
    .attr('opacity', 1);
}

Scales and Axes

// Linear scale for continuous data
const yScale = d3.scaleLinear()
  .domain([0, d3.max(data, d => d.value)])
  .range([height, 0])
  .nice();

// Band scale for categorical data
const xScale = d3.scaleBand()
  .domain(data.map(d => d.label))
  .range([0, width])
  .padding(0.2);

// Color scale
const colorScale = d3.scaleOrdinal(d3.schemeTableau10);

Responsive D3 Chart

function responsiveChart(container, renderFn) {
  const observer = new ResizeObserver(entries => {
    const { width, height } = entries[0].contentRect;
    const margin = { top: 20, right: 20, bottom: 40, left: 50 };
    renderFn(container, {
      width: width - margin.left - margin.right,
      height: height - margin.top - margin.bottom,
      margin,
    });
  });
  observer.observe(container);
  return () => observer.disconnect();
}

Phase 3: Polish

1. Add transitions and easing 2. Implement responsive resizing 3. Test across devices and browsers 4. Add fallback content for unsupported environments

STOP — Verify accessibility and performance targets are met.

Generative Art Techniques

Accessibility for Visualizations

Performance Guidelines

Anti-Patterns / Common Mistakes

Integration Points

Skill Type

FLEXIBLE — Choose the rendering technology and library that best fits the use case. SVG for accessibility-critical and interactive charts, Canvas for performance-critical and animation-heavy visuals, WebGL for 3D and massive datasets.