Gist 33580f9f359cea2b2586

X DataClips + D3.js Force-Directed

This example visualizes stock exchange venue activity using a force-directed graph in D3.js v3. It pulls live market data from the IEX Trading API via a JSONP callback, then renders nodes sized by a selectable metric—volume, market percent, or tape type—with proportional radii and categorical colors. A dropdown menu lets viewers switch the driving attribute, triggering an SVG rebuild. The layout uses `d3.layout.force` with fixed gravity and drag behavior, while labels display venue names and formatted values. Data is wrapped in a custom `d3.jsonp` helper to handle cross-origin requests.

663anp3ca

74% match

Gist 7f84369bd0c0b467d6b0

This visualization uses a force-directed graph layout implemented with D3’s `d3.forceSimulation` to position nodes connected by links, representing a network of relationships from an underlying dataset. The scene renders on an HTML5 Canvas, with the simulation’s tick events redrawing the nodes as colored circles and the edges as lines. A zoom interaction is added via `d3.zoom`, applying a transform to the canvas context to allow panning and scaling of the graph. The example demonstrates a typical static network diagram without additional interactivity beyond zoom and drag, relying on the force simulation to settle the layout.

Gist 05ff2219cb2cc463ad1612e8a501c400

This visualization uses a force-directed simulation to show a network of interconnected nodes, with each node represented as a colored circle and links drawn between related points. The code relies on `d3.forceSimulation` and `d3.forceLink` to compute the layout, while `d3.drag` enables user interaction to move nodes. A canvas element renders the graph, with the simulation updating positions each tick. The data appears to be a small custom-generated dataset of nodes and edges, with node colors mapping to distinct groups, and the visualization does not include any external data source or geographic rendering.

MMistyBlunch

Gist 1328c48d7adc70f7a23d190cdf877f7d

This visualization uses D3.js to render a dynamic network graph of interconnected nodes and links. The code employs `d3.forceSimulation` with forces such as charge, link, and centering to position the nodes, while links and nodes are drawn using SVG lines and circles. The simulation updates positions on each tick, and the graph responds to drag and zoom interactions. Node sizes and link thicknesses are determined by degree and connection counts, offering a clear view of the network’s structure and clustering.

Gist 021802844523c89a6e3f2aa959bc8421

This visualization uses D3.js to simulate a force-directed network layout, drawing nodes as circles connected by curved links. The code employs `d3.forceSimulation` to compute positions and velocities, with link distances tuned by the `distance` accessor and repulsive forces via `forceCollide`. It renders onto an HTML canvas using the Canvas API, and the animation loop runs continuously via `requestAnimationFrame`. The data is hardcoded in a variable named `data`, containing node and link arrays, but no external dataset is loaded; the example focuses on demonstrating a custom force layout with adjustable parameters.

Gist 257543a98ae32a2d951e5f3cd5a06979

This interactive visualization simulates a dynamic network of nodes and edges, showing how force-directed layouts settle into a stable configuration. The scene renders a clustered graph where nodes repel and links constrain movement, with subtle visual feedback as positions update in real time. Built with D3.js, the example uses `d3.forceSimulation` and `d3.forceManyBody` to compute physics, while a canvas element draws the animated paths and circles. The code loads a Gist-sourced dataset via a JSON request, and the simulation updates each frame, demonstrating how forces like charge and link distance shape the final network structure.

72% match

Gist a7d5ced57721ac3f7075bbbbaee32a49

This interactive visualization uses a force-directed simulation to animate a network of nodes and links, showing how connected elements cluster and repel. The code relies on D3’s `d3.forceSimulation` with custom forces for charge, centering, and collision, while link positions update via the simulation’s tick handler. Node rendering uses SVG circles, and the visualization reads its data from an embedded array of node and link objects, with no external data source. The interaction includes drag-and-drop support via D3’s drag behavior, letting viewers move nodes while the simulation continuously recalculates positions.

11wheel

72% match