Random Tree

100%

✓ Published0🌍 Public

PPooky2011

Last edited Feb 21, 2017

Created on Feb 21, 2017

This example shows a random tree growing incrementally as new nodes are added to random parent positions, with smooth animated transitions recalculating the layout via the Reingold-Tilford "tidy" algorithm as implemented by d3.layout.tree. Each new node enters from its parent’s previous position, while existing nodes and links animate to their updated coordinates. The visualization uses an SVG rendering with d3.svg.diagonal for edges and d3 transitions (transition.attr) over a 750ms duration, stopping once 500 nodes are present. The code relies on d3.v3 and the d3.layout.tree API to compute tree positions.

AI-generated description

This example builds a random tree using the Reingold-Tilford "tidy" algorithm, as described in "Tidier Drawings of Trees" and implemented by d3.layout.tree. As each node is added to the graph, it enters from the previous position of the parent node. Thus, the existing nodes and the new node transition smoothly to their new positions. The animation stops when 500 nodes have been added to the tree.

forked from <a href='http://bl.ocks.org/mbostock/'>mbostock</a>'s block: <a href='http://bl.ocks.org/mbostock/999346'>Random Tree</a>

gpl-3.0 Licensed

Similar vizzes

Loading thumbnail…

Random Tree

This example demonstrates a random tree visualization that grows incrementally as nodes are added one by one, using the Reingold-Tilford "tidy" algorithm via d3.layout.tree. It shows how each new node enters from its parent's previous position, while existing nodes and links smoothly transition to updated layout coordinates. The animation runs every 750 milliseconds until 500 nodes populate the tree, rendering circles for nodes and curved diagonal paths for links. The code relies on d3.v3, SVG, and d3’s transition system, with data binding through selections and key functions to manage entering and updating elements.

AAdlopez2016

95% match

Loading thumbnail…

Random Tree

A random tree grows in an animated SVG visualization as nodes are added one by one to a random parent. Using d3.layout.tree, the example applies the Reingold-Tilford tidy layout algorithm to recompute positions with each insertion, while entering nodes transition smoothly from their parent’s previous location. The code renders circles and diagonal links via d3.svg.diagonal, and stops once 500 nodes have been added.

深深度碎片

92% match

Loading thumbnail…

Random Tree

A random tree grows incrementally as nodes are added to random parents, with the layout recalculated after each insertion using the Reingold-Tilford tidy algorithm via `d3.layout.tree`. Existing nodes and links transition smoothly to their new positions, while entering nodes and links first appear at the parent’s previous coordinates. The SVG animation, driven by a `setInterval` timer, stops after 500 nodes, with node and link styling defined through CSS classes and `d3.svg.diagonal` for curved edges.

Mmbostock

91% match

Loading thumbnail…

Fork of array to tree

This example converts a random array of numbers into a hierarchical tree structure. Using D3 v6, it applies `d3.stratify` to build the hierarchy from parent-child relationships, then `d3.tree` to compute node positions. The animation updates node text values with staggered `transition` delays based on tree depth. Red-stroked SVG circles represent nodes, and black paths connect parent and child positions. The visualization demonstrates dynamic re-rendering of tree data with smooth text transitions.

Bbindhureddy98

76% match

Loading thumbnail…

array to tree

This example converts a randomly shuffled array of integers into a hierarchical tree structure. The visualization shows the resulting dendrogram with red-bordered circles representing nodes and black lines for parent-child links. Using d3.stratify and d3.tree, the array elements are organized into a tree layout with SVG rendering. Text labels display each node’s value, and transitions animate their appearance based on depth. The code updates smoothly when re-rendered with new random data.

MMTR

76% match

Loading thumbnail…

trees

A procedural tree grows downward from a seed branch, splitting into two child branches at each depth until reaching ten levels. The SVG rendering uses tan-to-green strokes that darken with depth, and the entire tree periodically sways in a simulated breeze. Built with D3 v3, the animation runs on a second-long interval, randomly perturbing branch angles and propagating positional changes to children through `d3.select` transitions over three seconds.

TThanaporn-sk

76% match

Loading thumbnail…

Tree Example

An interactive, animated tree diagram displays a static, hierarchical dataset of nodes with names and sizes, such as “node 10” and “root.” Users click nodes to expand or collapse their children, with smooth transitions repositioning nodes and links over 750 milliseconds. Built with D3.js, the example uses `d3.layout.tree`, `d3.svg.diagonal`, and SVG transitions to render the structure, styling circles and paths via CSS. Data is hardcoded in JavaScript, and rendering uses SVG with animation.

YYifu Chen

76% match

Loading thumbnail…

A tree with links between branches.

This example renders a tree diagram with branches that cross-link to other nodes, revealing the underlying connections in a hierarchical dataset. The visualization uses D3.js v3 to build the tree layout and draw custom cubic Bézier curves between linked nodes, adding a visual distinction from standard hierarchical edges. The data is generated procedurally, creating a random tree structure with a specified maximum depth and child count, and then selecting random pairs of nodes to create cross-links. The animation supports regenerating the data with a button click, causing the tree and its cross-links to redraw dynamically.

Rrainyrainyguo

75% match