62. D3 Ease Bounce

59. D3 Ease Linear

A bar chart displays a dataset of 20 values, initially rendered in blue. Clicking a text prompt triggers a 2-second transition where the bars' heights, positions, and labels animate to a new dataset. The animation uses `d3.transition()` with `.duration(2000)` and `.ease(d3.easeLinear)`, demonstrating linear easing. The SVG elements are created programmatically, with bar positions scaled via `d3.scaleBand()` and `d3.scaleLinear()`, and label positions updated alongside the rectangles.

91% match

61. D3 Ease Elastic

This example demonstrates the elastic easing animation effect in D3.js version 4.5.0. A bar chart displays a dataset of 20 numeric values, rendered as SVG rectangles with color intensity proportional to the data values. When the user clicks on the text prompt, the chart transitions with new data over a 2-second duration, using `d3.easeElasticOut` to create a spring-like bouncing motion as the bars and their white text labels adjust to their new heights and positions. The visualization uses `d3.scaleBand` and `d3.scaleLinear` for positioning and scaling.

88% match

88. D3 Delay

A bar chart displays a dataset of 20 values as vertical bars with numeric labels. Clicking any bar triggers a transition that re-sorts the bars by value, alternating between ascending and descending order. The animation uses `d3.ascending` and `d3.descending` with a `sort()` method, followed by a `transition()` that staggers each bar's horizontal movement using a `delay()` of 50 milliseconds per index and a duration of 1000 milliseconds. The SVG rectangles and text elements are rendered with D3 v4.5.0 scales, including `scaleBand` and `scaleLinear` for positioning and sizing.

87% match

56. D3 Duration

A bar chart displays twenty data values as vertically oriented rectangles, each labeled with its numeric value. Clicking the prompt text triggers a one-time update with a new dataset. The visualization uses D3 v4.5.0 to construct an SVG scene with `d3.scaleBand` for x-axis positioning and `d3.scaleLinear` for bar heights. The update applies a `transition` with a controlled `duration` of 1000 milliseconds, smoothly animating the rectangles' y-coordinates, heights, and fill colors. Text labels update instantly without transition.

64. D3 Delay Dyanmic

This example shows a bar chart that updates its values when the user clicks on a text prompt. The chart displays a sequence of numeric values as vertical bars, each labeled with its value. The visualization uses D3.js version 4.5.0 to render the chart as SVG elements. Upon clicking, the bars and labels transition to new data with a staggered delay, where each subsequent element waits an additional 100 milliseconds before starting its 500-millisecond animation. The code uses D3's `scaleBand`, `scaleLinear`, and `transition().delay()` API to manage the layout and animated updates. The data is a hardcoded array of twenty numbers.

60. D3 Ease Circle

This example demonstrates how easing functions can animate bar chart updates in D3.js version 4.5.0. A static bar chart, built with SVG rectangles and text labels, initially displays a dataset of 20 values. Clicking the paragraph text triggers a two-second transition that updates all bars and labels with a new dataset, using the `d3.easeCircleIn` easing function to control the animation’s acceleration. The bar positions, heights, and colors are recalculated from the new data via linear and band scales.

84. D3 Smoother

A bar chart displays a dataset of 20 values as vertically oriented rectangles, with each bar labeled by its numerical value. Hovering over a bar immediately changes its fill color to orange, while moving the mouse away triggers a smooth 250-millisecond transition that gradually restores the original blue color. The visualization uses D3.js version 4.5.0, specifically `d3.select`, `d3.scaleBand`, `d3.scaleLinear`, and the `transition` method with a `duration` parameter to animate the color changes.

66. D3 Delay Dynamic Scaled Few

A dynamic bar chart displays ten data values as vertical bars with numeric labels. Users can click a text prompt to trigger a one-time update to a new dataset. The chart uses D3.js version 4.5.0 with `scaleBand` for the x-axis, `scaleLinear` for the y-axis, and `transition().delay()` to create a staggered animation effect. As the data updates, both the rectangle heights and label positions animate sequentially, with fill colors shifting from dark to light blue based on the new values.