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D3.js: Community & Standards

D3.js (also known as D3, short for Data-Driven Documents) is a JavaScript library for producing dynamic, interactive data visualizations in web browsers. It makes use of Scalable Vector Graphics (SVG), HTML5, and Cascading Style Sheets (CSS) standards. It is the successor to the earlier Protovis framework. Its development was noted in 2011, as version…

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D3.js topic overview

The analysis highlights Community and Standards as prominent areas in the source structure around D3.js.

Related topics
25
Source areas
5
Connected nodes
30
Extracted relationships
71
Concept neighborhoods
10
Bridge connections
30

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Technical principles · 7 topics
Context · 6 topics
Overview · 6 topics
Community · 5 topics
Related projects · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developers
Mike Bostock, Jason Davies, Jeffrey Heer, Vadim Ogievetsky, and community
License
ISC
Release
18 February 2011; 15 years ago (2011-02-18)
Repository
github.com/d3/d3
Stable release
7.9.0 / 12 March 2024; 2 years ago (12 March 2024)
Type
Data visualization, JavaScript library

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Context

Technical principles

Community

Related projects

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How D3.js connects Entity context

The extracted context around D3.js shows recurring relationship patterns in the source. For example, D3.js → Airbnb, CodePen, D3, GitHub Gist, He, Mike Bostock, MTV, Observable, Similar, Some, The New York Times, There Another extracted example is D3.js → CSS-style, D3, Document Object Model, DOM, Elements, For, HTML, Once, The, This. Use these groups to spot repeated connection types before inspecting the individual relationships.

D3.js

Top relations

related to Community · 12
D3.js → Airbnb, CodePen, D3, GitHub Gist, He, Mike Bostock, MTV, Observable, Similar, Some, The New York Times, There
related to Selections · 10
D3.js → CSS-style, D3, Document Object Model, DOM, Elements, For, HTML, Once, The, This
related to Technical principles · 10
D3.js → CSS, CSV, D3, JavaScript, JSON, Large, SVG, The, The D3, These
related to Context · 9
D3.js → ActionScript, D3, Flare, Flash, Java, Prefuse, Protovis, The, There
related to External links · 7
D3.js → Archived April, C3, D3js, GalleryBlocksplorer, Observablehq, Official, Wayback Machine
related to Appending nodes using data · 6
D3.js → Any, D3, DOM, Likewise, Once, The D3
related to Data-binding · 4
D3.js → D3, For, Generated SVG, SVG
related to Related projects · 3
D3.js → D3, The Vega, Vega-Lite
Developers · 1
D3.js → Mike Bostock, Jason Davies, Jeffrey Heer, Vadim Ogievetsky, and community
License · 1
D3.js → ISC

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

d3 js data visualization javascript library isbn elements svg also 2014 visualizations web protovis used bostock use graphics mike heer

D3.js relationships Subject–Predicate–Object triples

TTTA extracted 71 structured relationships around D3.js. Examples in this analysis include D3.js → Developers → Mike Bostock, Jason Davies, Jeffrey Heer, Vadim Ogievetsky, and community and D3.js → License → ISC. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
D3.jsDevelopersMike Bostock, Jason Davies, Jeffrey Heer, Vadim Ogievetsky, and community1.00infobox
D3.jsLicenseISC1.00infobox
D3.jsRelease18 February 2011; 15 years ago (2011-02-18)1.00infobox
D3.jsRepositorygithub.com/d3/d31.00infobox
D3.jsStable release7.9.0 / 12 March 2024; 2 years ago (12 March 2024)1.00infobox
D3.jsTypeData visualization, JavaScript library1.00infobox
D3.jsWebsited3js.org1.00infobox
D3.jsWritten inJavaScript1.00infobox
JSONinstance ofThe data can be in various formats0.80text
comma-separated valuesinstance ofThe data can be in various formats0.80text
D3.jsrelated to Appending nodes using dataOnce0.60section
D3.jsrelated to Appending nodes using dataD30.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around D3.js bring nearby vocabulary together. In this analysis, examples include Js, Isbn and Data. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • D3.js
    • Js
    • Isbn
    • Data
    • Visualization
    • Web
    • Javascript
    • Library
    • Bostock
    • Used
    • Visualizations
    • Browsers
    • Data-driven
  • d3.js
    • Js
    • Isbn
    • Data
    • Visualization
    • Web
    • Javascript
    • Library
    • Bostock
    • Used
    • Visualizations
    • Transitions
    • Heer
  • javascript
    • Data
    • Web
    • Visualization
    • Jeffrey
    • Vadim
    • Library
    • Heer
    • Mike
    • Ogievetsky
    • Bostock
    • Required
    • Graphics
  • data visualizations
    • Visualization
    • Javascript
    • Created
    • Library
    • Web
    • Js
    • Data-driven
    • Documents
    • Jeffrey
    • Vadim
    • Graphics
    • Heer
  • web browsers
    • Data-driven
    • Documents
    • Community
    • Visualizations
    • Web
    • Javascript
    • Library
    • Release
    • Isbn
    • Jeffrey
    • Nodes
    • Required
  • mike bostock
    • Bostock
    • Heer
    • Mike
    • Ogievetsky
    • Jeffrey
    • Vadim
    • Web
    • Website
    • Created
    • Data-driven
    • Documents
    • Framework
  • jeffrey heer
    • Ogievetsky
    • Vadim
    • Heer
    • Jeffrey
    • Mike
    • Web
    • Library
    • Javascript
    • Visualization
    • Protovis
    • Release
    • Html5
  • scalable vector graphics
    • Html5
    • Svg
    • Jeffrey
    • Vadim
    • Heer
    • Mike
    • Ogievetsky
    • Bostock
    • Javascript
    • Library
    • Visualization
    • Framework

Connections between topic areas Semantic bridges

For D3.js, one of the stronger structural bridges in this analysis connects D3.js with Technical principles. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
D3.js — Technical principles · splits 23 ⟂ 8
D3.js — Overview · splits 24 ⟂ 7
D3.js — Context · splits 24 ⟂ 7
D3.js — Community · splits 25 ⟂ 6

Map overview Semantic statistics

D3.js

Nodes31
Edges30
Triples71
Avg. degree1.94
Density0.064516
Components1

Source & methodology

TTTA analyzes the structure around D3.js to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Community & Standards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — D3.js · EN edition · Analysis: TopicsToTalkAbout

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