Gist c8fa96678eda5a2e92a93b8777bf1e1a

100%

Gist c8fa96678eda5a2e92a93b8777bf1e1a

✓ Published0🌍 Public

Last edited Jul 27, 2018

Created on Jul 27, 2018

This example uses a custom JavaScript implementation with the D3.js library to render a small collection of user-supplied x,y coordinates as a scatterplot. The code computes an attraction-repulsion force simulation via a bespoke `d3.forceSimulation`-like routine, drawing nodes and connecting edges on an SVG canvas. The five data points (100,100; 130,120; 80,180; 180,80; 180,40) are displayed without axes or labels, clearly showing their relative spatial arrangement and the network structure formed by the force-directed layout. The rendering relies on SVG `<circle>` and `<line>` elements, with interaction limited to the static initial placement.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist a7dcca17dd6f9275b5d6435007f6b9f0

A small scatterplot displays five manually defined points with x and y coordinates from a fixed data array. The visualization uses d3.forceSimulation to position the circles, applying a simple force layout that settles the nodes into place. Each point is rendered as a circle with a fill color and stroke, while the simulation drives subtle movement before stabilizing. The code does not include axes, labels, or interaction, focusing solely on the force-directed placement of the given data.

JJan0RodGar

85% match

Loading thumbnail…

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.

MMbrownshoes

82% match

Loading thumbnail…

Gist f52706b726949be61205fcf8133a66e7

This example visualizes a dynamic network of interconnected nodes, showing how forces shape a cluster’s layout over time. It uses a force-directed simulation via `d3.forceSimulation` with charge, link, and collision forces to position nodes, while links are drawn as straight lines. The rendering relies on SVG paths updated each tick, and the code includes a custom drag interaction using `d3.drag` to let viewers manually reposition nodes. The underlying data structure is a small JavaScript array of objects representing nodes and links, likely sourced from a static inline dataset. The visualization emphasizes real-time interaction rather than geographic or spatial data, focusing on emergent clustering behavior.

11wheel

82% match

Loading thumbnail…

Gist 1459e89acd1739c6b63b384959d79e35

This example shows a force-directed network visualization where nodes are positioned on a canvas. The data consists of five simple x,y coordinate pairs from a gist, which are rendered as circles and connected by lines. The code uses D3’s `d3.forceSimulation` to compute node positions and collisions, with each node’s coordinates updated on every tick. The visualization is drawn using the Canvas API’s `getContext('2d')` and `clearRect` for animation, while the simulation’s `force` methods handle the layout. The final output is a static-looking snapshot at the end of the simulation, as no interaction or tweening is implemented.

AAdriU82

81% match

Loading thumbnail…

Gist 6db8115f185f7e57cb4395da0474fbf6

This example presents an interactive visualization of a network graph, where nodes are connected by curved links and can be dragged by the user. The code builds the layout using `d3.forceSimulation` for physics-based positioning and renders the scene with `d3.select` and SVG elements, including `transition.attrTween` for smooth link animations. It reads a JSON dataset of node and edge data from an external file, and uses `d3.zoom` for panning and scaling the view. The visualization shows how force-directed algorithms distribute connected nodes while user input adjusts the simulation in real time.

11wheel

81% match

Loading thumbnail…

Gist 1b4899c75f0bfa91bbe6865157c3f87f

A force-directed graph places five labeled nodes on a Canvas, with each node’s position set by an explicit `x,y` coordinate pair from a hardcoded dataset rather than computed by simulation. The visualization uses `d3.forceSimulation` to manage node physics while a custom `tick` function redraws the scene via the Canvas 2D API. Edges are omitted, so the example focuses solely on spatial layout and node rendering, with node radii scaled by a fixed value. The data source is a simple inline array, and no interaction or animation beyond the initial layout is implemented.

FFerjopero

81% match

Loading thumbnail…

Gist 42f2a3f8bdbf9468dea8f6274d2dac31

This interactive force-directed graph visualizes relationships among a set of nodes using D3.js’s `d3.forceSimulation` API. The layout emerges from simulated physical forces, with nodes repelling and links attracting them to reveal clusters. The code also implements mouse drag-and-drop interaction, allowing users to reposition nodes in real time, which perturbs the equilibrium and triggers the simulation to recalculate. The visualization renders nodes as circles and links as straight lines, with the underlying data and force parameters defined inline within the JavaScript source.

AAnaMal08

81% match

Loading thumbnail…

Gist cb09210b412a2bce44aad4f310499d47

This example presents a network visualization built with D3.js, using the `d3.forceSimulation` API to position nodes and links. It displays interconnected data points rendered as circles and lines, with the simulation handling collision detection and link forces. The code also incorporates CSS styling rules that affect text wrapping and overflow within a `.generic-content` paragraph container, though this appears to be a styling detail rather than the core graph structure. The visualization shows a dynamic, force-directed layout where node positions update over time based on physical simulation parameters.

KKopylovVitalik

81% match