D3 selection exploration

D3 Selection Exploration

This example demonstrates how D3’s data join pattern animates a dynamic set of circles, whose count and vertical positions oscillate sinusoidally over time. Using `d3.select` and `d3.range`, it generates an array of points and binds them to SVG circle elements via `selection.data()` and `selection.join()`, updating `cx` and `cy` attributes each frame. The code runs a `setInterval` at 60fps, recalculating data with a time-based sine wave, while `d3` version 7.6.1 manages enter, update, and exit states automatically.

ММаксим Грязнов

D3 Selection Exploration

The visualization demonstrates how D3 selections can manage a dynamic set of circles whose positions, sizes, and count change over time. It uses `d3.select` and `d3.range` to generate data, with a `setInterval` updating the scene at 60 frames per second. The code employs the modern `.join('circle')` method to handle enter, update, and exit selections seamlessly, animating the circles' x and y coordinates based on sine waves. This example highlights the simplicity of data-driven updates in D3 v7.

Aajoua

D3 selection exploration

This example demonstrates how D3’s data join and selection mechanism dynamically updates an SVG scene in real time. An animated set of circles shifts vertically based on a sine wave, with their count oscillating between five and fifteen as time progresses. The code uses `d3.select`, `d3.range`, and `.join('circle')` to bind incoming data to SVG elements, updating positions each frame via `setInterval`. Data is generated procedurally from a mathematical function rather than an external dataset.

PPetrescu Alexandru

D3 Selection Exploration

This example demonstrates dynamic D3 selection and data binding by animating a set of circles that move and resize in a sine-wave pattern. Using `d3.select`, `selection.data`, and `.join`, it updates the SVG circle positions and radii every frame at 60fps via `setInterval`. The `makeData` function generates the x, y, and r values, while the `vizData` module applies the attributes. Rendering relies on SVG elements with no transitions, showing raw join behavior. The data is synthetic, derived from trigonometric functions, and the visualization fills the browser window.

Aapi-whichway

D3 Selection Exploration

This example demonstrates D3’s selection and data-join mechanics by continuously generating a changing set of circles. A `setInterval` updates the data array, whose length and positions vary with a sine wave, and the `svg.selectAll('circle').data(data).join('circle')` pattern creates or removes circles to match. The code uses D3 v7’s `select` and `range` functions, renders as an SVG animation, and updates element attributes (`cx`, `cy`, `r`) every 10 milliseconds.

EEd Smale

D3 Selection Exploration

This example demonstrates the update and join pattern of D3 selections, animating a set of 15 circles and a connecting line path over time. The circles and path are re-rendered every frame using a `setInterval` loop, with their vertical positions and radii driven by a sine function of an incrementing time variable. The code uses `d3.select`, `selection.selectAll`, `selection.join`, and `d3.line` to bind new data arrays generated by `makeData` to SVG elements, showing how D3’s data-join syntax handles dynamic updates efficiently. The visualization runs in a full-window SVG canvas.

JJMeltzer92

D3 selection exploration

This example explores D3 selections and data joins through an animated visualization. A sinusoidal wave of circles moves across the screen, with the number of circles oscillating based on a time variable. The code uses d3.select and d3.range to generate data, then applies the selection’s `.data()`, `.join()`, and attribute setters to update SVG circle positions each frame. The animation runs via `setInterval` at 60fps, with sine functions driving both the vertical placement and count of circles, demonstrating enter, update, and exit behavior.

SSamuele Greco

D3 Selection Exploration

A dynamic SVG animation demonstrates D3's data join pattern with shifting circle counts. The visualization uses `d3.select`, `d3.range`, and the `selection.join()` method to bind an array of computed data points to circle elements, updating their `cx` and `cy` attributes with sine-based positions. Circles appear and disappear as the data length varies, driven by a `setInterval` callback that increments a time variable at 60 frames per second. The example renders directly into the browser using D3 v6, with no external data source beyond the generated numeric values.

Kktshim@snu.ac.kr