Create custom, highly interactive data visualizations with D3.js (Data-Driven
Scanned 9/9/2026
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---
name: d3js
version: 1.0.0
description: Create custom, highly interactive data visualizations with D3.js (Data-Driven
Documents)
type: reference
author: workspace-hub
category: data-visualization
tags:
- charts
- d3
- svg
- interactive
- custom-viz
platforms:
- web
- javascript
capabilities: []
requires: []
scripts_exempt: true
---
# D3Js
## When to Use This Skill
Use D3.js when you need:
- **Complete customization** - Every aspect of the visualization controlled
- **Complex interactions** - Advanced user interactions and transitions
- **Unique visualizations** - Bespoke charts not available in other libraries
- **Data-driven DOM manipulation** - Direct binding of data to DOM elements
- **Custom animations** - Sophisticated transitions and effects
**Avoid when:**
- Simple charts with default styling are sufficient (use Chart.js)
- Quick implementation is priority (use Plotly or Chart.js)
- Team lacks JavaScript expertise
## Complete Examples
### Example 1: Interactive Bar Chart
```html
<!DOCTYPE html>
<html>
<head>
<script src="https://d3js.org/d3.v7.min.js"></script>
<style>
.bar { fill: steelblue; cursor: pointer; }
.bar:hover { fill: orange; }
.tooltip {
position: absolute;
*See sub-skills for full details.*
### Example 2: Animated Line Chart with CSV Data
```javascript
// Load and visualize CSV data
d3.csv('../data/timeseries.csv').then(data => {
// Parse dates and values
const parseDate = d3.timeParse('%Y-%m-%d');
data.forEach(d => {
d.date = parseDate(d.date);
d.value = +d.value;
});
*See sub-skills for full details.*
### Example 3: Force-Directed Network Graph
```javascript
// Network data
const nodes = [
{ id: 'A', group: 1 },
{ id: 'B', group: 1 },
{ id: 'C', group: 2 },
{ id: 'D', group: 2 },
{ id: 'E', group: 3 }
];
*See sub-skills for full details.*
## Common Patterns
### Update Pattern (Enter, Update, Exit)
```javascript
function update(data) {
// Bind data
const circles = svg.selectAll('circle')
.data(data, d => d.id);
// EXIT: Remove old elements
circles.exit()
.transition()
.duration(500)
*See sub-skills for full details.*
### Brush and Zoom
```javascript
// Add zoom behavior
const zoom = d3.zoom()
.scaleExtent([1, 10])
.on('zoom', zoomed);
svg.call(zoom);
function zoomed(event) {
const transform = event.transform;
*See sub-skills for full details.*
## Installation & Setup
### CDN (Quick Start)
```html
<script src="https://d3js.org/d3.v7.min.js"></script>
```
### NPM (Production)
```bash
npm install d3
```
```javascript
import * as d3 from 'd3';
// Or import specific modules
import { select, scaleLinear, axisBottom } from 'd3';
```
## Performance Tips
1. **Minimize DOM operations** - Batch updates when possible
2. **Use canvas for large datasets** - Switch to canvas for >1000 points
3. **Throttle events** - Debounce mousemove/scroll events
4. **Optimize transitions** - Limit concurrent animations
5. **Use web workers** - Offload heavy computations
## Resources
- **Official Docs**: https://d3js.org/
- **Observable**: https://observablehq.com/@d3 (Interactive examples)
- **GitHub**: https://github.com/d3/d3
- **Gallery**: https://observablehq.com/@d3/gallery
## Integration with Other Tools
### With React
```javascript
import { useEffect, useRef } from 'react';
import * as d3 from 'd3';
function D3Chart({ data }) {
const svgRef = useRef();
useEffect(() => {
const svg = d3.select(svgRef.current);
// D3 code here
}, [data]);
return <svg ref={svgRef}></svg>;
}
```
### With CSV/JSON Data
```javascript
// Load from relative path
d3.csv('../data/data.csv').then(data => {
// Process and visualize
});
d3.json('../data/data.json').then(data => {
// Visualize JSON
});
```
---
**Use this skill when you need maximum control and customization in your data visualizations!**
## Sub-Skills
- [1. Data Binding (+3)](1-data-binding/SKILL.md)
- [1. Use Proper Margins Convention (+3)](1-use-proper-margins-convention/SKILL.md)
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