Dots

Split circles animation

Three red dots transition into a field of one hundred smaller dots that collide and scatter before a subset is ejected off-screen, then the animation reverses. The cycle repeats continuously. Built with D3 v5 and SVG, the visualization uses the `d3.forceSimulation` API with a `collision` force to disperse the particles, and a custom `d3.transition` to animate the circles between keyframe states with easing and enter/exit transitions. The blue center point remains static, marking the origin for each merge and split.

PPatrick Wojda

81% match

Force move 400 dots in 10 buildings

Four hundred colored dots, each assigned to one of ten randomly placed building centers, are drawn on a Canvas as they converge into ten distinct clusters. A custom force named `shape` pulls each node toward its building’s center, while `d3.forceCollide` keeps the circles from overlapping. The simulation runs via `d3.forceSimulation`, with each tick redrawing the canvas using `fillStyle` and `arc` calls. The color scale `d3.scaleOrdinal` with `schemeCategory10` distinguishes the groups by building.

PPhilippe Rivière

D3 Force Simulation

This example displays a static force-directed network of 100 circles and 100 randomly generated links on an SVG canvas, using D3 v4. Nodes are positioned randomly and rendered as steelblue circles, while links are implied but never drawn, so the visualization focuses solely on node placement. The code prepares data structures for a force simulation but does not call d3.forceSimulation, leaving the layout in its initial random state.

Untitled

A force-directed particle system in SVG uses D3 v3’s `d3.layout.force` to simulate 200 circles with random radii, while a fixed center node applies a strong negative charge to repel others. A quadtree (`d3.geom.quadtree`) accelerates collision detection, and the layout’s `on("tick")` event updates circle positions. Mouse movement drives the root node’s velocity via `d3.mouse`, resuming the simulation. The visualization runs in React, though the rendering logic is pure D3.

Bbasskur

D3 Force Simulation

This example shows a force-directed layout with 100 nodes and 100 randomly generated links rendered as circles and lines in an SVG. The code creates node positions using `Math.random()` and defines link source/target pairs randomly, but it does not run a force simulation or draw the links. It uses D3 v4 to bind data and append circle elements with a steelblue fill, sized at a radius of 3.5 pixels each.

D3 Force Simulation

This example shows a force-directed layout with 100 randomly connected nodes rendered as steelblue circles on an SVG canvas. The code creates nodes and links with random positions and connections using `d3.range` and `Math.random`. It uses `d3.select` to bind data and append circle elements with `attr` calls for positioning and styling. However, the simulation itself is not implemented—no `d3.forceSimulation` is invoked, so the graph remains static rather than animated. The visualization relies on D3 v4 and renders entirely via SVG.

D3 Force Simulation

This example shows a static scatterplot-style network diagram of 100 randomly generated nodes and links, rendered as steelblue circles on an SVG canvas. The code defines node positions and link endpoints using `d3.range` and `Math.random`, then appends circles via `svg.selectAll(".node").data().enter()`. Although the title suggests a force simulation, the visible code does not invoke `d3.forceSimulation`, leaving the layout fixed; the example relies on D3 v4 for data binding and SVG element creation.

79% match