Radial Tree as a Project-Personelle Map

Radial Tree as an Organizational Chart

A hierarchical organizational chart is depicted as a radial tidy tree, with the top node at the center and departments and roles radiating outward based on their depth level. The visualization uses a D3.js v4 framework, rendering to an SVG canvas. The code calls `d3.cluster()` and `d3.hierarchy()` to compute the layout, and `d3.zoom()` for interactive pan and zoom. Text labels for leaf nodes are rotated to follow the radial direction, while intermediate and root labels remain horizontal. The data is loaded from a local `data.json` file.

KKai Stewart

83% match

Radial Tree

This radial tree displays hierarchical data as a branching network of nodes and links radiating from a central root. The visualization uses D3 v7’s `d3.hierarchy`, `d3.tree`, and `d3.linkRadial` to compute the layout and draw curved edges, with nodes rendered as SVG circles and labels. Interactive links are added via `xlink:href` attributes. The data comes from a `data.json` file containing tasks, health goals, and awards, arranged in a nested children structure. The SVG output is styled with sans-serif fonts and customizable colors, strokes, and node radii.

WWRCIECH

81% match

RADIAL TREE

This radial tree visualization displays a hierarchical dataset, such as a world geography or an engineering part structure, with nodes arranged in a circular layout. The code uses the D3.js v4 library, specifically the `cluster()`, `hierarchy()`, and `zoom()` APIs, along with SVG rendering. The visualization shows how the hierarchy branches outward from the root, with text labels positioned and rotated based on depth and angle. It also includes panning and zooming interaction to explore the tree structure, with the data loaded from a JSON file.

80% match

RADIAL TREE 3

This radial tree visualization displays a hierarchical dataset of part numbers and associated values, branching from a single root node. The layout uses D3’s `d3.cluster` to arrange nodes radially, with curved paths rendering parent–child links. Panning and zooming are supported via D3’s `zoom` behavior, while node labels are rotated to follow the radial angle. Data is loaded from a CSV file and processed with `d3.stratify` to build the tree structure, rendered as SVG.

79% match

Fork of Radial Tree of Countries Hierarchy

A radial tree shows the hierarchical organization of countries by continent and subregion, branching outward from a central "World" root. D3’s cluster layout computes angular and radial positions, while SVG paths connect parent-child nodes. Panning and zooming are enabled via d3.zoom. Node labels use hue-free teal links and font sizes scaled by depth, with text rotation applied for deep leaves. Data comes from a JSON hierarchy.

NNelson Ameyo

RADIAL TREE

A radial tree displays a hierarchy of world countries, organized by continent and subregion, radiating outward from a central root node. The visualization uses an SVG rendering with D3 v4’s `d3.cluster` layout to position nodes, and custom bezier paths for links. Text labels are rotated and sized by depth, with a heavy white glow for readability. Panning and zooming are implemented via `d3.zoom`, while the JSON data structure defines the nested country groupings.

RADIAL TREE 2

This radial tree visualization displays a hierarchical dataset from a CSV file, using a circular layout where branches extend from a central root. The visualization supports panning and zooming interaction, allowing users to explore the hierarchy. Built with D3 v4, the code uses `d3.stratify`, `d3.tree`, `d3.linkRadial`, and `d3.csv` to process and render the data as an SVG. Nodes are drawn as circles with text labels, and links are rendered as curved paths with light blue strokes. The tree is positioned within a large SVG canvas, with labels rotated to follow the radial structure.

RADIAL TREE 2

A radial tree visualization displays a hierarchical dataset as curved links radiating from a central root node, with leaf nodes positioned along the outer circumference. The code uses D3 v4's `d3.tree()` layout with a radial size, `d3.stratify()` to parse hierarchical CSV data, and `d3.linkRadial()` to generate the bezier paths. SVG circles mark nodes, while panning and zooming are enabled via the `d3.zoom()` API. The flare.csv dataset provides the hierarchy, and the rendering is entirely SVG-based with light blue translucent links.

WWillPCowan