d3js-visualization

•

9382423 months ago

Build deterministic, verifiable data visualizations with D3.js (v6). Generate standalone HTML/SVG (and optional PNG) from local data files without external network dependencies. Use when tasks require charts, plots, axes/scales, legends, tooltips, or data-driven SVG output.

Quick Install

npxskills add benchflow-ai/skillsbench--skill d3js-visualization

Instructions

D3.js Visualization Skill

Use this skill to turn structured data (CSV/TSV/JSON) into clean, reproducible visualizations using D3.js. The goal is to produce stable outputs that can be verified by diffing files or hashing.

When to use

Activate this skill when the user asks for any of the following:

“Make a chart/plot/graph/visualization”
bar/line/scatter/area/histogram/box/violin/heatmap
timelines, small multiples, faceting
axis ticks, scales, legends, tooltips
data-driven SVG output for a report or web page
converting data to a static SVG or HTML visualization

If the user only needs a quick table or summary, don’t use D3—use a spreadsheet or plain markdown instead.

Inputs you should expect

One or more local data files: *.csv, *.tsv, *.json
A chart intent:
- chart type (or you infer the best type)
- x/y fields and aggregation rules
- sorting/filtering rules
- dimensions (width/height) and margins
- color rules (categorical / sequential)
- any labeling requirements (title, axis labels, units)
Output constraints:
- “static only”, “no animation”, “must be deterministic”, “offline”, etc.

If details are missing, make reasonable defaults and document them in comments near the top of the output file.

Outputs you should produce

Prefer producing all of the following when feasible:

dist/chart.html — standalone HTML that renders the visualization
dist/chart.svg — exported SVG (stable and diff-friendly)
(Optional) dist/chart.png — if the task explicitly needs a raster image

Always keep outputs in a predictable folder (default: dist/), unless the task specifies paths.

Determinism rules (non-negotiable)

To keep results stable across runs and machines:

Data determinism

Sort input rows deterministically before binding to marks (e.g., by x then by category).
Use stable grouping order (explicit Array.from(grouped.keys()).sort()).
Avoid locale-dependent formatting unless fixed (use d3.format, d3.timeFormat with explicit formats).

Rendering determinism

No randomness: do not use Math.random() or d3-random.
No transitions/animations by default (transitions can introduce timing variance).
Fixed width, height, margin, viewBox.
Use explicit tick counts only when needed; otherwise rely on D3 defaults but keep domains fixed.
Avoid layout algorithms with non-deterministic iteration unless you control seeds/iterations (e.g., force simulation). If a force layout is required:
- fix the tick count,
- fix initial positions deterministically (e.g., sorted nodes placed on a grid),
- run exactly N ticks and stop.

Offline + dependency determinism

Do not load D3 from a CDN.
Pin D3 to a specific version (default: [email protected]).
Prefer vendoring a minified D3 bundle (e.g., vendor/d3.v7.9.0.min.js) or bundling with a lockfile.

File determinism

Stable SVG output:
- Avoid auto-generated IDs that may change.
- If you must use IDs (clipPath, gradients), derive them from stable strings (e.g., "clip-plot").
Use LF line endings.
Keep numeric precision consistent (e.g., round to 2–4 decimals if needed).

Recommended project layout

If the task doesn't specify an existing structure, use:

dist/
  chart.html        # standalone HTML with inline or linked JS/CSS
  chart.svg         # exported SVG (optional but nice)
  chart.png         # rasterized (optional)
vendor/
  d3.v7.9.0.min.js  # pinned D3 library

Interactive features (tooltips, click handlers, hover effects)

When the task requires interactivity (e.g., tooltips on hover, click to highlight):

Tooltip pattern (recommended)

Create a tooltip element in HTML:

<div id="tooltip" class="tooltip"></div>

Style with CSS using .visible class for show/hide:

.tooltip {
    position: absolute;
    padding: 10px;
    background: rgba(0, 0, 0, 0.8);
    color: white;
    border-radius: 4px;
    pointer-events: none;  /* Prevent mouse interference */
    opacity: 0;
    transition: opacity 0.2s;
    z-index: 1000;
}

.tooltip.visible {
    opacity: 1;  /* Show when .visible class is added */
}

Add event handlers to SVG elements:

svg.selectAll('circle')
    .on('mouseover', function(event, d) {
        d3.select('#tooltip')
            .classed('visible', true)  // Add .visible class
            .html(`<strong>${d.name}</strong><br/>${d.value}`)
            .style('left', (event.pageX + 10) + 'px')
            .style('top', (event.pageY - 10) + 'px');
    })
    .on('mouseout', function() {
        d3.select('#tooltip').classed('visible', false);  // Remove .visible class
    });

Key points:

Use opacity: 0 by default (not display: none) for smooth transitions
Use .classed('visible', true/false) to toggle visibility
pointer-events: none prevents tooltip from blocking mouse events
Position tooltip relative to mouse with event.pageX/pageY

Click handlers for selection/highlighting

// Add 'selected' class on click
svg.selectAll('.bar')
    .on('click', function(event, d) {
        // Remove previous selection
        d3.selectAll('.bar').classed('selected', false);
        // Add to clicked element
        d3.select(this).classed('selected', true);
    });

CSS for highlighting:

.bar.selected {
    stroke: #000;
    stroke-width: 3px;
}

Conditional interactivity

Sometimes only certain elements should be interactive:

.on('mouseover', function(event, d) {
    // Example: Don't show tooltip for certain categories
    if (d.category === 'excluded') {
        return;  // Exit early, no tooltip
    }
    // Show tooltip for others
    showTooltip(event, d);
})

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