Gist 466252

100%

✓ Published0🌍 Public

Last edited Jul 7, 2010

Created on Jul 7, 2010

This example is a data-art composition built from a personal list of recommended web design and programming books, rendered as an interactive force-directed graph. It visualizes the relationships between books, their authors, and their associated topics (like usability, web standards, JavaScript, Ruby, and Rails) using `d3.forceSimulation` for physics-based layout and dynamic node positioning. Each book title, URL, and annotation from the original text is embedded as textual nodes and links, with the graph’s structure and labels derived directly from the source gist’s content. The rendering approach uses SVG elements updated via D3’s data join, and while no explicit additional libraries are mentioned, the code relies on standard D3 v4+ APIs for simulation, drag behavior, and tick updates to show the clustered, interlinked reading list.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist 70625

This example visualizes a force-directed graph built with the D3.js library, using `d3.forceSimulation` to compute the layout. The graph’s nodes are rendered as text labels on an HTML5 Canvas, where each label displays a single character from the Gist’s source code. The visualization shows the spatial clustering of these characters, and the code calculates how many times a given character appears in a node’s adjacency list using a custom `f(ra,n)` method. The rendering approach relies on Canvas’s `fillText` for drawing labels, with the simulation updating positions each tick.

DDylanFM

79% match

Loading thumbnail…

Gist 703

This example uses a force-directed graph layout to show the clustering of related items. The visualization relies on `d3.forceSimulation` to position nodes, with links drawn between connected points. The code applies a custom styling reset and uses SVG elements for rendering, while the underlying data comes from a gist. The layout emphasizes spatial grouping, with node positions determined by simulated physics rather than a fixed coordinate system.

DDylanFM

78% match

Loading thumbnail…

Gist 484101

This visualization shows an interactive network of interconnected nodes, with each node representing a person and links showing connections between them. It reveals the structure of social ties, likely from a GitHub collaboration graph, by grouping related clusters. The rendering uses a canvas-based `d3.forceSimulation` with custom collision and link forces to position nodes, while a custom `d3.geoPath`-style projection maps node positions onto a projected sphere. The code also employs Canvas `getImageData` to detect node boundaries for hover interactions, and uses `transition.attrTween` for smooth link animations. The underlying data is loaded from a Gist, and the visualization runs entirely client-side without external data files.

DDylanFM

77% 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

77% match

Loading thumbnail…

Gist e899f735aa7a47c42f7b2604c713bfef

This example visualizes a force-directed graph using D3’s `d3.forceSimulation` to position nodes, with links drawn as SVG lines. The rendering approach uses Canvas `getImageData` to sample pixel data for a custom background effect, while Three.js handles 3D-like sphere rendering for node highlights. The code reads node and edge data from an embedded JavaScript object, and the simulation runs continuously with a `tick` handler updating node positions. A dropdown menu lets users filter the graph by cluster, though the filtering logic only updates node visibility without altering the underlying simulation forces.

AAlexDaGr8

77% match

Loading thumbnail…

Gist 97384

This example visualizes a force-directed network graph where nodes and links are rendered as animated dots and lines. It uses d3.forceSimulation to compute node positions and d3.line to draw the connections, with the entire scene updated on each simulation tick. The code pulls node coordinates from the simulation and redraws SVG elements, showing how real-time physics-based layout can be paired with D3’s data-binding for interactive node-link diagrams.

CCaged

77% 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

76% match

Loading thumbnail…

Gist db32a113f546aa03b43c0e1f84f80d28

The visualization shows a force-directed network graph of GitHub gist data, with nodes representing individual gists and links showing relationships between them. It uses d3.forceSimulation to compute the layout, with node size encoding gist size and color indicating file type or language. The rendering relies on SVG elements updated per tick via the simulation’s tick event. The code loads a static JSON file containing preprocessed gist metadata, and does not use canvas or WebGL. The visualization highlights clustering patterns among related gists, revealing emergent communities in the dataset.

335degrees

76% match