Word Cloud Example

100%

Word Cloud Example

✓ Published1🌍 Public

Last edited Aug 17, 2019

Created on Aug 17, 2019

This example visualizes the frequency of family and first names from genealogical data using D3.js word clouds. The visualization displays the most common names as text, with font size scaled proportionally to their occurrence count, rendered in an animated layout using SVG. The implementation leverages the `d3.layout.cloud` module, which uses a canvas's `getImageData` method for text bounding measurements, along with the `d3.scale.linear` for size mapping and `d3.scale.category20` for coloring. Users can switch between datasets via toolbar buttons that load different JSON files.

AI-generated description

How to update and change json files in D3 ? Please help me.

MIT Licensed

Similar vizzes

Loading thumbnail…

Word Cloud Example

This example presents a word cloud visualization built with D3.js v3 and the d3.layout.cloud plugin, displaying the frequency of names from a genealogical dataset. Users can toggle between family names and first names via toolbar buttons, which load respective JSON files and render the top 120 terms. The visualization uses SVG text elements with animated placement, scaling font size with d3.scale.linear, and rotating words randomly. Font sizes range from 10 to 60 pixels based on frequency counts.

Bbalajikadambi

95% match

Loading thumbnail…

Word Cloud Example

An interactive word cloud visualizes surname and first-name frequencies from JSON datasets, letting users toggle between "Family Names" and "First Names" via toolbar buttons. The d3.layout.cloud JavaScript library computes non-overlapping word placements using an Archimedean spiral collision algorithm, while D3.js (v3) SVG rendering displays the final text with font sizes scaled linearly. Each dataset is filtered, sorted, and truncated to the top 120 words, with animation during layout computation. Word rotation alternates randomly between horizontal and vertical orientations.

KKurtCodeAnyWhere

93% match

Loading thumbnail…

Word Cloud

This interactive word cloud visualizes the frequency of family and first names from JSON datasets, allowing users to switch between them via toolbar buttons. D3 v3 and the d3.layout.cloud plugin render the most frequent terms as SVG text elements, with font size scaled linearly by occurrence count and colors assigned from a category scale. The layout uses the cloud algorithm to position non-overlapping words with random horizontal or vertical rotation before drawing them via SVG.

AABCDB15

92% match

Loading thumbnail…

Word Cloud Example

This example shows a word cloud visualization that displays frequency-weighted terms from JSON datasets, with buttons to toggle between family names and first names. The code uses D3 v3’s `d3.layout.cloud` plugin to arrange words in a spiral layout, scaling font size with `d3.scale.linear` based on each term’s count. Rendering occurs as SVG text elements styled with Impact font and a categorical color scale, while a setTimeout-driven animation progressively places words until the layout completes.

Yyili222

91% match

Loading thumbnail…

Fork of Word Cloud Example

This fork of the D3 v3 word cloud example visualizes family names and first names from local JSON data. The code loads data using `d3.json`, filters and sorts entries by frequency, and displays the top 120 terms as an SVG word cloud via `d3.layout.cloud`. Buttons in a toolbar allow switching between the `Fam_Totaal.json` and `VN_Tot.json` datasets. The visualization uses a linear scale, random rotation, and category20 color encoding to render text within an 800 by 400 pixel container.

Zzjutkarma

85% match

Loading thumbnail…

Word Cloud Example

This example demonstrates a word cloud visualization, where words from a CSV file (datas.csv) are displayed with varying font sizes proportional to their frequency counts. The visualization is built using D3.js v3 and the custom `d3.layout.cloud.js` library, which implements the word layout algorithm. The code uses D3's linear scale for color mapping and renders the words as SVG text elements. Animated placement occurs through the library's internal timer steps, positioning each word using a spiral placement algorithm.

Kkaviya-ds

81% match

Loading thumbnail…

Word Cloud Example

This example presents a word cloud visualization that arranges text tags by frequency, with larger words representing higher values in the input data. The layout algorithm, based on Jason Davies’s implementation, places words using an Archimedean spiral to avoid collisions. The code uses the `d3.layout.cloud` API with `.size()`, `.padding()`, `.rotate()`, and `.font()` configurations. After layout, the `d3.select("body").append("svg")` chain renders the results, applying font size and family via inline styles, with animated placement driven by the `setInterval` timer in the cloud layout process.

Kkaviya-ds

80% match

Loading thumbnail…

Word Cloud-3

This example displays a word cloud visualization using the d3.layout.cloud plugin, which arranges words from a TSV data file based on their frequency values. The code filters the dataset, maps each entry to a text-size pair, and uses the cloud layout with custom rotation, padding, and the Impact font. Words are rendered as SVG text elements with colors from a category20c scale, appearing animated as the layout algorithm places them across a 500×500 canvas area.

0007ebey

80% match