data-visualization

Use when animating charts, graphs, dashboards, data transitions, or any information visualization work.

By dylantarre · 471 installs

npx skills add dylantarre/animation-principles --skill data-visualization

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Data Visualization Animation Apply Disney's 12 animation principles to charts, graphs, dashboards, and information displays. Quick Reference Principle Data Viz Implementation Squash & Stretch Bar overshoot, elastic settling Anticipation Brief pause before data loads Staging Sequential reveal, focus hierarchy Straight Ahead / Pose to Pose Streaming vs snapshot data Follow Through / Overlapping Staggered element entry Slow In / Slow Out Smooth value interpolation Arc Pie chart sweeps, flow diagrams Secondary Action Labels following data points Timing Entry 300 500ms, updates 200 300ms Exaggeration Emphasize significant changes Solid Drawing Consistent scales, clear relationships Appeal Satisfying reveals, professional polish Principle Applications Squash & Stretch : Bars can overshoot target height then settle. Pie slices expand slightly on hover. Bubbles compress on collision. Keep total values accurate—animation is transitional. Anticipation : Brief loading state before data appears. Slight shrink before expansion. Counter briefly pauses before rapid counting. Prepares user for incoming information. Staging : Reveal data in meaningful sequence—most important first. Highlight active data series. Dim unrelated elements during focus. Guide the data story with motion. Straight Ahead vs Pose to Pose : Real time streaming data animates continuously (straight ahead). Dashboard snapshots transition between states (pose to pose). Match approach to data nature. Follow Through & Overlapping : Data points enter with staggered timing. Labels settle after their data elements. Grid lines appear before data. Legends animate with slight delay. Slow In / Slow Out : Value changes ease smoothly—no jarring jumps. Use d3.easeCubicInOut or equivalent. Counter animations accelerate then decelerate. Progress bars ease to completion. Arc : Pie charts sweep clockwise from 12 o'clock. Sankey diagram flows follow curved paths. Network graphs use force directed arcs. Radial charts expand from center. Secondary Action : Tooltips follow data point movement. Value labels count up as bars grow. Axis tick marks respond to scale changes. Shadows indicate data depth. Timing : Initial entry: 300 500ms staggered. Data updates: 200 300ms. Hover states: 100 150ms. Filter transitions: 400 600ms. Slower timing aids comprehension. Exaggeration : Significant changes deserve attention—pulse or glow outliers. Threshold crossings trigger emphasis. Anomalies animate more dramatically. Don't exaggerate the data itself. Solid Drawing : Maintain consistent scales during animation. Transitions shouldn't distort data relationships. Preserve axis alignment. Visual hierarchy must remain clear throughout motion. Appeal : Data entry should feel satisfying. Professional, purposeful motion builds trust. Avoid gratuitous animation—every motion should aid understanding. Code Patterns D3.js Chart.js Data Type Timing Visualization Entry Update Hover Bar chart 400ms stagger 300ms 100ms Line chart 600ms draw 400ms 150ms Pie chart 500ms sweep 300ms 100ms Scatter plot 300ms stagger 200ms 100ms Dashboard 500 800ms cascade 300ms 150ms Accessibility Note Always respect prefers reduced motion . Data visualization animation should aid comprehension, not hinder it. Provide instant state fallback for users who disable motion.