Skip to main content
100%

Gist 4ba022d61f72f5f6d565df0944909ab0

✓ Published0🌍 Public
TTreblesteph
Last edited Apr 1, 2016
Created on Apr 1, 2016

A directed graph visualizes how software carpentry answers address research questions, with teal question nodes on the left and sienna answer nodes on the right. The layout is computed by dagreD3, which reads a Graphviz DOT definition from the design string via graphlibDot. D3 v3 renders the result as SVG, with edges showing which practices support each question about reproducibility, collaboration, and data management.

AI-generated description

Similar vizzes

Loading thumbnail…

Software Carpentry concept map

This interactive graph maps questions about research software and data practices to concrete answers, using a directed acyclic graph. The visualization is rendered with dagreD3 and D3.v3 as an SVG, with nodes representing concepts and edges showing relationships. Pan and zoom are enabled, and clicking a node centers the view on it for easier navigation when expanding or collapsing the hierarchy. The graph is laid out left-to-right, with rounded node edges and a custom color applied to specific nodes via CSS.

TTreblesteph
80% match
Loading thumbnail…

Gist 9204169

A network diagram of the Gist 9204169 comment thread uses a force-directed layout via `d3.forceSimulation` to arrange nodes by user interaction. The graph renders comment relationships as links, with node colors and sizes encoding the original poster’s query and the city’s response about PDF/A archival formats. Data comes from the embedded `message.md` and `response.md` files, parsed into JSON. Hovering highlights connected nodes, while the visualization also uses `d3.geoPath` only for map context, though no geographic data appears. The example emphasizes how open-data requests and bureaucratic replies form a conversational structure.

CCaged
69% match
Loading thumbnail…

Gist dc7cb4d1128fe91feef345be1fac54dd

This example visualizes the connections between questions on the TeX StackExchange site, specifically focusing on a problem with the `listings` package and UTF-8 encoding. It displays a force-directed graph using `d3.forceSimulation`, with nodes representing individual questions and edges linking related posts. The visualization uses a canvas rendering approach, drawing nodes and links with `d3.drag` for interactivity and `d3.zoom` for panning and scaling. The underlying data is derived from the StackExchange API, reflecting real user-posted questions and their relationships.

MMistyBlunch
69% match
Loading thumbnail…

Gist 987ce21f44be30e78ba0241dc9e8596c

This visualization presents an interactive network graph of dependencies and references extracted from a Gist, illustrating connections between documentation links and Docker-related resources. The code uses D3.js with `d3.forceSimulation` to position nodes, employing force-directed physics for layout, while SVG elements render the nodes and links. The graph displays labeled nodes with varying sizes, likely reflecting connection degree, and colors that differentiate categories such as source, Docker documentation, and Stack Exchange threads. The data originates from a hardcoded JSON structure in the Gist, and the visualization responds to drag interactions, allowing users to explore the relational structure of the cited materials.

MMistyBlunch
68% match
Loading thumbnail…

Gist b287c640477b69e13e008ebfa52e8a86

This example shows a network graph of Linux-related articles and links, with nodes representing individual web pages and edges connecting them by shared references. The visualization uses a force-directed layout via `d3.forceSimulation` to position nodes, while the SVG rendering relies on standard D3 selections and `d3.forceLink` for edge constraints. Node color and size encode the source domain (opensource.com versus rootsudo.wordpress.com) and degree, respectively. The graph updates dynamically as the simulation runs, with drag interaction enabled through `d3.drag` for repositioning nodes.

MMistyBlunch
68% match
Loading thumbnail…

Gist 466252

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.

DDylanFM
68% 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
67% match
Loading thumbnail…

Gist f8b83c150e82b21c7d6fcadc802fb986

This example visualizes a network of interconnected nodes and links, revealing the structure of a graph through spatial clustering and connective pathways. It uses a force-directed layout powered by `d3.forceSimulation` to position nodes, with `d3.drag` enabling interactive repositioning. The rendering relies on SVG elements for both nodes and links, with node fill colors and radii encoding categorical data and degree. The underlying dataset is a static JSON structure of nodes and edges, drawn using standard SVG `circle` and `line` primitives within a responsive viewBox.

PPeleke
67% match