data-visualization
Skill7 starsChanged 10 months agoMITView on GitHub
Animation patterns for charts, graphs, and data stories. Use when animating data transitions, chart entrances, or creating data-driven motion for dashboards and analytics interfaces.
48 other projects use a version of this.
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- dmoreq/agent-grimoiretheir own version, first seen Nov 8, 2026
- OugeX/dsh-web-dev-modetheir own version, first seen Nov 1, 2026
- BuildHarbor/sciagent-skillstheir own version, first seen Nov 1, 2026
- KMaruthi2002/universal-llm-skillstheir own version, first seen Oct 25, 2026
- shipiit/shipit-ui-designtheir own version, first seen Oct 20, 2026
- surajinacademia/Computational_modeling_skillstheir own version, first seen Oct 20, 2026
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Other versions48 projects use a version of this.
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- anthropics/knowledge-work-plugins★ 35ksame name
- langchain-ai/deepagents★ 31ksame name
- openai/plugins★ 7.8ksame name
- vivy-yi/xiaohongshu-skills★ 455same name
- NTCoding/claude-skillz★ 342same name
- didixuxu/didi-skills★ 83same name
- launchapp-dev/animus-cli★ 39same name
- xjtulyc/awesome-rosetta-skills★ 34same name
- kensaurus/cursor-kenji★ 9same name
- kensaurus/skills★ 9same name
38 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository87 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- motion-designSkill
- 3d-transformsSkill
- accessibilitySkill
- android-nativeSkill
- animation-recipesSkill
- anticipationSkill
- arc-motionSkill
- attention-choreographySkill
- attentionSkill
- audio-reactiveSkill
- blurSkill
- brand-animationSkill
- cameraSkill
- characterSkill
- choice-resolutionSkill
- cinematicSkill
- code-generationSkill
- colorSkill
- component-animationsSkill
- compositingSkill
- consequenceSkill
- container-transformSkill
- css-advancedSkill
- depthSkill
- distortionSkill
- dramaturgySkill
- durationSkill
- easingSkill
- emotional-journeySkill
- emotion-mappingSkill
- emotion-selectionSkill
- empty-statesSkill
- entrance-patternsSkill
- exaggerationSkill
- exit-patternsSkill
- exportSkill
- figma-integrationSkill
- follow-throughSkill
- frame-timingSkill
- gesture-motionSkill
- glow-shadowSkill
- intentSkill
- ios-nativeSkill
- loading-statesSkill
- loopingSkill
- lottieSkill
- masksSkill
- microstateSkill
- morphingSkill
- motion-auditSkill
- motion-blurSkill
- motion-principlesSkill
- motion-specsSkill
- narrative-arcSkill
- notificationsSkill
- onboardingSkill
- opacitySkill
- orchestratorSkill
- particlesSkill
- The first 60 shown.
The file
Files
Data Visualization Animation
Motion patterns for charts, graphs, and data-driven interfaces.
Core Principles
- Data Integrity - Animation must not distort data perception
- Object Constancy - Same data point = same visual element
- Staged Reveal - Complex data shown progressively
- Transition Clarity - Changes must be trackable by the eye
Chart Entrance Patterns
Bar Chart
// Grow from baseline
bars.transition()
.duration(500)
.delay((d, i) => i * 50) // Stagger
.attr("height", d => yScale(d.value))
.attr("y", d => height - yScale(d.value))
.ease(d3.easeCubicOut); // M3 standard-decelerateLine Chart
// Path drawing animation
const totalLength = path.node().getTotalLength();
path
.attr("stroke-dasharray", totalLength)
.attr("stroke-dashoffset", totalLength)
.transition()
.duration(1000)
.ease(d3.easeLinear)
.attr("stroke-dashoffset", 0);Pie/Donut Chart
// Arc interpolation
const arcTween = (d) => {
const interpolate = d3.interpolate(
{ startAngle: 0, endAngle: 0 },
d
);
return (t) => arc(interpolate(t));
};
slices.transition()
.duration(750)
.attrTween("d", arcTween);Scatter Plot
// Scale-in points with stagger
points.transition()
.duration(300)
.delay((d, i) => i * 20)
.attr("r", 5)
.attr("opacity", 1)
.ease(d3.easeCubicOut);Data Update Transitions
Enter-Update-Exit Pattern
// D3 standard pattern
const bars = svg.selectAll(".bar")
.data(data, d => d.id); // Key function for object constancy
// EXIT - remove old elements
bars.exit()
.transition()
.duration(200)
.attr("opacity", 0)
.attr("height", 0)
.remove();
// UPDATE - animate existing elements
bars.transition()
.duration(300)
.attr("x", d => xScale(d.category))
.attr("height", d => yScale(d.value));
// ENTER - add new elements
bars.enter()
.append("rect")
.attr("class", "bar")
.attr("opacity", 0)
.attr("height", 0)
.transition()
.duration(300)
.delay(200) // After exit completes
.attr("opacity", 1)
.attr("height", d => yScale(d.value));Morphing Between Chart Types
// Bar to pie transition
// 1. Bars collapse to center
// 2. Transform to wedges
// 3. Expand radially
function barToPie(bars, pie) {
// Phase 1: Collapse
bars.transition()
.duration(300)
.attr("width", 20)
.attr("x", centerX - 10);
// Phase 2: Morph (using FLIP)
setTimeout(() => {
// Replace DOM, animate with FLIP
}, 300);
}Number Animation
Counting Up
function animateValue(element, start, end, duration) {
const range = end - start;
const startTime = performance.now();
function update(currentTime) {
const elapsed = currentTime - startTime;
const progress = Math.min(elapsed / duration, 1);
// Eased progress
const eased = 1 - Math.pow(1 - progress, 3); // ease-out-cubic
const current = start + (range * eased);
element.textContent = Math.round(current).toLocaleString();
if (progress < 1) {
requestAnimationFrame(update);
}
}
requestAnimationFrame(update);
}Odometer Effect
.digit {
display: inline-block;
overflow: hidden;
height: 1em;
}
.digit-inner {
transition: transform 0.3s ease-out;
}
/* Move to show correct digit */
.digit-inner[data-value="5"] {
transform: translateY(-500%);
}Timing Guidelines
| Chart Type | Duration | Stagger | Easing |
| Bar entrance | 500ms | 50ms/bar | ease-out |
| Line draw | 1000ms | - | linear |
| Pie reveal | 750ms | - | ease-out |
| Scatter entrance | 300ms | 20ms/point | ease-out |
| Data update | 300ms | - | ease-in-out |
| Number count | 500-1000ms | - | ease-out |
Accessibility
Reduced Motion
const prefersReducedMotion =
window.matchMedia('(prefers-reduced-motion: reduce)').matches;
const duration = prefersReducedMotion ? 0 : 500;
const stagger = prefersReducedMotion ? 0 : 50;Screen Reader Announcements
// Announce data changes
function announceUpdate(newValue) {
const announcement = document.getElementById('sr-announcement');
announcement.textContent = `Value updated to ${newValue}`;
}Performance
Large Datasets
// Virtualize off-screen elements
// Only animate visible items
const visibleData = data.filter(d =>
xScale(d.x) > -margin && xScale(d.x) < width + margin
);
// Use CSS transforms (GPU accelerated)
bars.style("transform", d => `translateY(${yScale(d.value)}px)`);Canvas for 1000+ Points
// Use canvas for large scatter plots
function drawPoints(ctx, data) {
ctx.clearRect(0, 0, width, height);
data.forEach(d => {
ctx.beginPath();
ctx.arc(xScale(d.x), yScale(d.y), 3, 0, Math.PI * 2);
ctx.fill();
});
}
// Animate with requestAnimationFrame
function animate(progress) {
const animatedData = data.map(d => ({
...d,
y: d.startY + (d.endY - d.startY) * progress
}));
drawPoints(ctx, animatedData);
}Library-Specific Patterns
D3.js
// Custom easing matching M3
const m3Standard = t =>
t < 0.5
? 4 * t * t * t
: 1 - Math.pow(-2 * t + 2, 3) / 2;
d3.transition()
.ease(m3Standard);Chart.js
new Chart(ctx, {
options: {
animation: {
duration: 500,
easing: 'easeOutCubic',
onProgress: (animation) => {
// Custom logic during animation
}
},
transitions: {
active: {
animation: {
duration: 200
}
}
}
}
});Recharts (React)
<BarChart>
<Bar
dataKey="value"
animationDuration={500}
animationEasing="ease-out"
animationBegin={0}
/>
</BarChart>Related Skills
- Dependencies: easing, duration, sequencing
- See also: entrance-patterns, accessibility
- Tokens:
tokens/data-visualization.tokens.json
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