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d3-visualization skill

/skills/d3-visualization

This skill helps you build custom, interactive D3 visualizations from data to visuals with low-level control over scales, layouts, and transitions.

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---
name: d3-visualization
description: Use when creating custom, interactive data visualizations with D3.js—building bar/line/scatter charts from scratch, creating network diagrams or geographic maps, binding changing data to visual elements, adding zoom/pan/brush interactions, animating chart transitions, or when chart libraries (Highcharts, Chart.js) don't support your specific visualization design and you need low-level control over data-driven DOM manipulation, scales, shapes, and layouts.
---

# D3.js Data Visualization

## Table of Contents

- [Read This First](#read-this-first)
- [Workflows](#workflows)
  - [Create Basic Chart Workflow](#create-basic-chart-workflow)
  - [Update Visualization with New Data](#update-visualization-with-new-data)
  - [Create Advanced Layout Workflow](#create-advanced-layout-workflow)
- [Path Selection Menu](#path-selection-menu)
- [Quick Reference](#quick-reference)

---

## Read This First

### What This Skill Does

This skill helps you create custom, interactive data visualizations using D3.js (Data-Driven Documents). D3 provides low-level building blocks for data-driven DOM manipulation, visual encoding, layout algorithms, and interactions—enabling bespoke visualizations that chart libraries can't provide.

### When to Use D3

**Use D3 when:**
- Chart libraries don't support your specific design
- You need full customization control
- Creating network graphs, hierarchies, or geographic maps
- Building interactive dashboards with linked views
- Animating data changes smoothly
- Working with complex or unconventional data structures

**Don't use D3 when:**
- Simple bar/line charts suffice (use Chart.js, Highcharts—easier)
- You need 3D visualizations (use Three.js, WebGL)
- Massive datasets >10K points without aggregation (performance limitations)
- You're unfamiliar with JavaScript/SVG/CSS (prerequisites required)

### Core Concepts

**Data Joins**: Bind arrays to DOM elements, creating one-to-one correspondence
**Scales**: Transform data values → visual values (pixels, colors, sizes)
**Shapes**: Generate SVG paths for lines, areas, arcs from data
**Layouts**: Calculate positions for complex visualizations (networks, trees, maps)
**Transitions**: Animate smooth changes between states
**Interactions**: Add zoom, pan, drag, brush selection behaviors

### Skill Structure

- **[Getting Started](resources/getting-started.md)**: Setup, prerequisites, first visualization
- **[Selections & Data Joins](resources/selections-datajoins.md)**: DOM manipulation, data binding
- **[Scales & Axes](resources/scales-axes.md)**: Data transformation, axis generation
- **[Shapes & Layouts](resources/shapes-layouts.md)**: Path generators, basic layouts
- **[Advanced Layouts](resources/advanced-layouts.md)**: Force simulation, hierarchies, geographic maps
- **[Transitions & Interactions](resources/transitions-interactions.md)**: Animations, zoom/pan/drag/brush
- **[Workflows](resources/workflows.md)**: Step-by-step guides for common chart types
- **[Common Patterns](resources/common-patterns.md)**: Reusable code templates

---

## Workflows

Choose a workflow based on your current task:

### Create Basic Chart Workflow

**Use when:** Building bar, line, or scatter charts from scratch

**Time:** 1-2 hours

**Copy this checklist and track your progress:**

```
Basic Chart Progress:
- [ ] Step 1: Set up SVG container with margins
- [ ] Step 2: Load and parse data
- [ ] Step 3: Create scales (x, y)
- [ ] Step 4: Generate axes
- [ ] Step 5: Bind data and create visual elements
- [ ] Step 6: Style and add interactivity
```

**Step 1: Set up SVG container with margins**

Create SVG element with proper dimensions. Define margins for axes: `{top: 20, right: 20, bottom: 30, left: 40}`. Calculate inner width/height: `width - margin.left - margin.right`. See [Getting Started](resources/getting-started.md#setup-svg-container).

**Step 2: Load and parse data**

Use `d3.csv('data.csv')` for external files or define data array directly. Parse dates with `d3.timeParse('%Y-%m-%d')` for time series. Convert strings to numbers for CSV data using conversion function. See [Getting Started](resources/getting-started.md#loading-data).

**Step 3: Create scales**

Choose scale types based on data: `scaleBand` (categorical), `scaleTime` (temporal), `scaleLinear` (quantitative). Set domains from data using `d3.extent()`, `d3.max()`, or manual ranges. Set ranges from SVG dimensions. See [Scales & Axes](resources/scales-axes.md#scale-types).

**Step 4: Generate axes**

Create axis generators: `d3.axisBottom(xScale)`, `d3.axisLeft(yScale)`. Append g elements positioned with transforms. Call axis generators: `.call(axis)`. Customize ticks with `.ticks()`, `.tickFormat()`. See [Scales & Axes](resources/scales-axes.md#creating-axes).

**Step 5: Bind data and create visual elements**

Use data join pattern: `svg.selectAll(type).data(array).join(type)`. Set attributes using scales and accessor functions: `.attr('x', d => xScale(d.category))`. For line charts, use `d3.line()` generator. For scatter plots, create circles with `cx`, `cy`, `r` attributes. See [Selections & Data Joins](resources/selections-datajoins.md#data-join-pattern) and [Shapes & Layouts](resources/shapes-layouts.md).

**Step 6: Style and add interactivity**

Apply colors: `.attr('fill', ...)`, `.attr('stroke', ...)`. Add hover effects: `.on('mouseover', ...)` with tooltip. Add click handlers for drill-down. Apply transitions for initial animation (optional). See [Transitions & Interactions](resources/transitions-interactions.md#tooltips) and [Common Patterns](resources/common-patterns.md#tooltip-pattern).

---

### Update Visualization with New Data

**Use when:** Refreshing charts with new data (real-time, filters, user interactions)

**Time:** 30 minutes - 1 hour

**Copy this checklist:**

```
Update Progress:
- [ ] Step 1: Encapsulate visualization in update function
- [ ] Step 2: Update scale domains if needed
- [ ] Step 3: Re-bind data with key function
- [ ] Step 4: Add transitions to join
- [ ] Step 5: Update attributes with new values
- [ ] Step 6: Trigger update on data change
```

**Step 1: Encapsulate visualization in update function**

Wrap steps 3-5 from basic chart workflow in `function update(newData) { ... }`. This makes visualization reusable for any dataset. See [Workflows](resources/workflows.md#update-pattern).

**Step 2: Update scale domains**

Recalculate domains when data range changes: `yScale.domain([0, d3.max(newData, d => d.value)])`. Update axes with transition: `svg.select('.y-axis').transition().duration(500).call(yAxis)`. See [Selections & Data Joins](resources/selections-datajoins.md#updating-scales).

**Step 3: Re-bind data with key function**

Use key function for object constancy: `.data(newData, d => d.id)`. Ensures elements track data items, not array positions. Critical for correct transitions. See [Selections & Data Joins](resources/selections-datajoins.md#key-functions).

**Step 4: Add transitions to join**

Insert `.transition().duration(500)` before attribute updates. Specify easing with `.ease(d3.easeCubicOut)`. For custom enter/exit effects, use enter/exit functions in `.join()`. See [Transitions & Interactions](resources/transitions-interactions.md#basic-transitions).

**Step 5: Update attributes with new values**

Set positions/sizes using updated scales: `.attr('y', d => yScale(d.value))`, `.attr('height', d => height - yScale(d.value))`. Transitions animate from old to new values. See [Common Patterns](resources/common-patterns.md#bar-chart-template).

**Step 6: Trigger update on data change**

Call `update(newData)` when data changes: button clicks, timers (`setInterval`), WebSocket messages, API responses. For real-time, use sliding window to limit data points. See [Workflows](resources/workflows.md#real-time-updates).

---

### Create Advanced Layout Workflow

**Use when:** Building network graphs, hierarchies, or geographic maps

**Time:** 2-4 hours

**Copy this checklist:**

```
Advanced Layout Progress:
- [ ] Step 1: Choose appropriate layout type
- [ ] Step 2: Prepare and structure data
- [ ] Step 3: Create and configure layout
- [ ] Step 4: Apply layout to data
- [ ] Step 5: Bind computed properties to elements
- [ ] Step 6: Add interactions (drag, zoom)
```

**Step 1: Choose appropriate layout type**

**Force Simulation**: Network diagrams, organic clustering. **Hierarchies**: Tree, cluster (node-link), treemap, pack, partition (space-filling). **Geographic**: Maps with projections. **Chord**: Flow diagrams. See [Advanced Layouts](resources/advanced-layouts.md#choosing-layout) for decision guidance.

**Step 2: Prepare and structure data**

**Force**: `nodes = [{id, group}]`, `links = [{source, target}]`. **Hierarchy**: Nested objects with children arrays, convert with `d3.hierarchy(data)`. **Geographic**: GeoJSON features. See [Advanced Layouts](resources/advanced-layouts.md#data-structures).

**Step 3: Create and configure layout**

**Force**: `d3.forceSimulation(nodes).force('link', d3.forceLink(links)).force('charge', d3.forceManyBody())`. **Hierarchy**: `d3.treemap().size([width, height])`. **Geographic**: `d3.geoMercator().fitExtent([[0,0], [width,height]], geojson)`. See [Advanced Layouts](resources/advanced-layouts.md) for each layout type.

**Step 4: Apply layout to data**

**Force**: Simulation runs automatically, updates node positions each tick. **Hierarchy**: Call layout on root: `treemap(root)`. **Geographic**: No application needed, projection used in path generator. See [Advanced Layouts](resources/advanced-layouts.md#applying-layouts).

**Step 5: Bind computed properties to elements**

**Force**: Update `cx`, `cy` in tick handler: `node.attr('cx', d => d.x)`. **Hierarchy**: Use `d.x0`, `d.x1`, `d.y0`, `d.y1` for rectangles. **Geographic**: Use `path(feature)` for `d` attribute. See [Workflows](resources/workflows.md) for layout-specific examples.

**Step 6: Add interactions**

**Drag** for force networks: `node.call(d3.drag().on('drag', dragHandler))`. **Zoom** for maps/large networks: `svg.call(d3.zoom().on('zoom', zoomHandler))`. **Click** for hierarchy drill-down. See [Transitions & Interactions](resources/transitions-interactions.md).

---

## Path Selection Menu

**What would you like to do?**

1. **[I'm new to D3](resources/getting-started.md)** - Setup environment, understand prerequisites, create first visualization

2. **[Build a basic chart](resources/workflows.md#basic-charts)** - Bar, line, or scatter plot step-by-step

3. **[Transform data with scales](resources/scales-axes.md)** - Map data values to visual properties (positions, colors, sizes)

4. **[Bind data to elements](resources/selections-datajoins.md)** - Connect arrays to DOM elements, handle dynamic updates

5. **[Create network/hierarchy/map](resources/advanced-layouts.md)** - Force-directed graphs, treemaps, geographic visualizations

6. **[Add animations](resources/transitions-interactions.md#transitions)** - Smooth transitions between chart states

7. **[Add interactivity](resources/transitions-interactions.md#interactions)** - Zoom, pan, drag, brush selection, tooltips

8. **[Update chart with new data](resources/workflows.md#update-pattern)** - Handle real-time data, filters, user interactions

9. **[Get code templates](resources/common-patterns.md)** - Copy-paste-modify templates for common patterns

10. **[Understand D3 concepts](resources/getting-started.md#core-concepts)** - Deep dive into data joins, scales, generators, layouts

---

## Quick Reference

### Data Join Pattern (Core D3 Workflow)

```javascript
// 1. Select container
const svg = d3.select('svg');

// 2. Bind data
svg.selectAll('circle')
  .data(dataArray)
  .join('circle')          // Create/update/remove elements automatically
    .attr('cx', d => d.x)  // Use accessor functions (d = datum, i = index)
    .attr('cy', d => d.y)
    .attr('r', 5);
```

### Scale Creation (Data → Visual Transformation)

```javascript
// For quantitative data
const xScale = d3.scaleLinear()
  .domain([0, 100])        // Data range
  .range([0, 500]);        // Pixel range

// For categorical data
const xScale = d3.scaleBand()
  .domain(['A', 'B', 'C'])
  .range([0, 500])
  .padding(0.1);

// For temporal data
const xScale = d3.scaleTime()
  .domain([new Date(2020, 0, 1), new Date(2020, 11, 31)])
  .range([0, 500]);
```

### Shape Generators (SVG Path Creation)

```javascript
// Line chart
const line = d3.line()
  .x(d => xScale(d.date))
  .y(d => yScale(d.value));

svg.append('path')
  .datum(data)           // Use .datum() for single data item
  .attr('d', line)       // Line generator creates path data
  .attr('fill', 'none')
  .attr('stroke', 'steelblue');
```

### Transitions (Animation)

```javascript
// Add transition before attribute updates
svg.selectAll('rect')
  .data(newData)
  .join('rect')
  .transition()          // Everything after this is animated
  .duration(500)         // Milliseconds
  .attr('height', d => yScale(d.value));
```

### Common Scale Types

| Data Type | Task | Scale |
|-----------|------|-------|
| Quantitative (linear) | Position, size | `scaleLinear()` |
| Quantitative (exponential) | Compress range | `scaleLog()`, `scalePow()` |
| Quantitative → Circle area | Size circles | `scaleSqrt()` |
| Categorical | Bars, groups | `scaleBand()`, `scalePoint()` |
| Categorical → Colors | Color encoding | `scaleOrdinal()` |
| Temporal | Time series | `scaleTime()` |
| Quantitative → Colors | Heatmaps | `scaleSequential()` |

### D3 Module Imports (ES6)

```javascript
// Specific functions
import { select, selectAll } from 'd3-selection';
import { scaleLinear, scaleBand } from 'd3-scale';
import { line, area } from 'd3-shape';

// Entire D3 namespace
import * as d3 from 'd3';
```

### Key Resources by Task

- **Setup & First Chart**: [Getting Started](resources/getting-started.md)
- **Data Binding**: [Selections & Data Joins](resources/selections-datajoins.md)
- **Scales & Axes**: [Scales & Axes](resources/scales-axes.md)
- **Chart Types**: [Workflows](resources/workflows.md) + [Common Patterns](resources/common-patterns.md)
- **Networks & Trees**: [Advanced Layouts](resources/advanced-layouts.md#force-simulation) + [Advanced Layouts](resources/advanced-layouts.md#hierarchies)
- **Maps**: [Advanced Layouts](resources/advanced-layouts.md#geographic-maps)
- **Animation**: [Transitions & Interactions](resources/transitions-interactions.md#transitions)
- **Interactivity**: [Transitions & Interactions](resources/transitions-interactions.md#interactions)

---

## Next Steps

1. **New to D3?** Start with [Getting Started](resources/getting-started.md)
2. **Know basics?** Jump to [Workflows](resources/workflows.md) for specific chart types
3. **Need reference?** Use [Common Patterns](resources/common-patterns.md) for templates
4. **Build custom viz?** Explore [Advanced Layouts](resources/advanced-layouts.md)

Overview

This skill helps you build custom, interactive data visualizations with D3.js when you need low-level control over DOM, scales, shapes, layouts, and interactions. It is focused on creating bar/line/scatter charts from scratch, network graphs, hierarchies, and geographic maps, plus handling live updates and animated transitions. Use it when charting libraries cannot express your specific design or interaction requirements.

How this skill works

The skill provides step-by-step workflows and reusable patterns: set up an SVG container, create appropriate scales and axes, bind data with D3’s data join pattern, and generate shapes with path generators and layout algorithms. It includes update functions for rebinding new data with transitions, plus advanced layouts (force simulations, treemaps, geo projections) and interaction handlers (zoom, pan, drag, brush). Practical code snippets cover scales, joins, transitions, and common templates.

When to use it

  • You need a bespoke visual design unsupported by chart libraries
  • Building network diagrams, hierarchical layouts, or geographic maps
  • Animating data changes and smooth transitions between states
  • Creating linked views, brushes, zoom/pan, or custom drag behaviors
  • Updating charts in real time or responding to complex data transforms

Best practices

  • Encapsulate rendering in an update(data) function to handle changes cleanly
  • Use appropriate scale types (scaleBand, scaleTime, scaleLinear) and recompute domains on updates
  • Provide key functions in data joins to preserve object constancy during transitions
  • Limit DOM elements or aggregate very large datasets for performance (>10k points)
  • Separate layout computation from rendering; run heavy calculations off the main tick when possible

Example use cases

  • Custom dashboard with linked bar chart, scatter plot, and brush selection
  • Force-directed network visualization with draggable nodes and collision handling
  • Time-series line chart with animated transitions and live streaming updates
  • Choropleth map using GeoJSON with zoom, pan, and projection fitting
  • Treemap or pack layout for visualizing hierarchical disk usage or organizational structure

FAQ

When should I choose D3 over Chart.js or Highcharts?

Choose D3 when you need fine-grained control over DOM, bespoke layouts (networks, trees, maps), custom interaction patterns, or animation details that higher-level chart libraries don’t expose.

How do I handle updates with animated transitions?

Encapsulate rendering in an update function, rebind data with a key function, update scale domains, and use selection.join() with .transition() to animate enter/update/exit changes.