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This example demonstrates a dynamic visualization of a set of circles whose positions and radii oscillate over time, creating a flowing, wave-like pattern. The animation updates every frame at 60 frames per second, with the number of circles varying between 5 and 15. It uses the D3.js library (version 6.6.2) and its `select`, `range`, and `.join` APIs to efficiently bind and update SVG circle elements. The data is procedurally generated using a sine function, and the rendering is handled via SVG with animated attribute changes.

Kktshim@snu.ac.kr

Fork of D3 Selection Exploration

An animated visualization renders a dynamic set of circles whose positions and radii oscillate using a sine wave, driven by a continuous timer. The scene updates every frame, re-binding new data to the existing DOM elements without a transition. The code uses D3 v6's `select` and `join` APIs to manage circle enter-update-exit cycles, with data generated by custom `makeData` and rendered as SVG. A small YouTube embed displays related source material alongside the live example.

AAlberto Ferrero

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Animated circles move in a sinusoidal wave across an SVG canvas, with their vertical position and radius oscillating over time to create a flowing, generative pattern. The visualization demonstrates D3's data join and selection mechanisms by continuously updating the `x`, `y`, and `r` attributes of circle elements at 60 frames per second. Using D3 v6's `select`, `range`, and `join` APIs, the code generates fresh data points each frame from mathematical sine functions and applies them to the existing SVG selection, showing how D3 efficiently syncs data to DOM elements.

SSam Hege

Fork of D3 Selection Exploration

This example explores D3 data joins with animated circles. A set of circles moves vertically based on a sine wave, with the number of circles oscillating over time. The code uses d3.select, d3.range, and the selection.join method to update the SVG. Data is generated in makeData.js and rendered as circles with attributes for radius, cx, and cy, refreshed every 60 frames per second.

Ddanheavern

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This example demonstrates animated circles that continuously move in a wave-like pattern across the screen, with the total number of circles oscillating over time. It shows how D3’s data join and enter/update/exit cycle handle dynamic datasets. The code uses `d3.select`, `d3.range`, and the `.join('circle')` method to bind an array of data points to SVG circle elements. Position and count update every frame using `setInterval` at 60 fps, with coordinates calculated from trigonometric functions. The SVG rendering scales to the full browser viewport.

CCurran Kelleher

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This example demonstrates a generative animation of circles that smoothly undulate across the screen, with each circle's position and radius oscillating over time. Built using the D3.js library, the visualization runs a continuous loop at 60 frames per second, recomputing the dataset based on a sine wave that controls both the number of circles and their lateral and vertical movement. The rendering relies on D3's selection and join API to update `<circle>` SVG elements, while the data is generated by a custom `makeData` function.

MMichael Bergerson

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This example demonstrates dynamic animated circles moving in a sine-wave pattern across the screen, with vertical lines extending from each circle's edge. It updates at 60 frames per second via a `setInterval` callback. The visualization uses D3 v6's `select`, `selectAll`, `range`, and `scaleLinear` (though the latter is only in commented code) to bind data and render SVG elements. The `join` method handles entering, updating, and exiting circles and lines, while `makeData` generates positional values based on time and index.

Ppedrogius

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This example demonstrates animated sine waves rendered as a dynamic set of SVG circles whose positions and radii update continuously with time. The visualization uses `d3.selectAll`, `.data()`, and `.join()` to bind and update circle elements, while a `setInterval` loop calls `makeData()` to generate new coordinates and sizes. The code relies on D3 v6 APIs including `d3.line` and `d3.range`, with `vizData()` applying attribute updates for `cx`, `cy`, and `r`. The animation runs at 60 frames per second, creating a fluid, undulating pattern.

NNeel Mehta