Yohoo

Data Tree

This visualization shows a hierarchical tree of world regions and countries, with countries nested under their respective continents and subregions. The tree is rendered with SVG paths connecting parent and child nodes, using a horizontal layout where text labels display country names at sizes that decrease with depth. The code uses D3 v5’s `tree`, `hierarchy`, and `linkHorizontal` APIs to compute the layout, and includes zoom functionality via `d3.zoom`. Data comes from a static JSON file containing the geographic hierarchy.

MMichael Milano

Tree Visualization

This interactive tree visualization displays the hierarchical structure of world regions and countries, using a horizontal dendrogram layout. The visualization reads from a JSON data file and renders an SVG using D3 v5, with nodes labeled as text and links drawn as paths. It includes zoom and pan functionality through D3’s `zoom` event, while the layout is computed with the `hierarchy` and `tree` APIs. Text elements are styled with a serif font and white text-shadow for readability.

Ssploitfun

Tree!

This visualization shows a hierarchical tree of world geography, starting from continents and drilling down to countries and subregions. The data is structured as nested JSON objects representing the world, with nodes labeled for regions like Asia and individual nations. Built with D3 v5, it uses the `tree` and `hierarchy` layout functions to compute node positions and `linkHorizontal` to draw the connecting paths. Text labels scale in font size based on depth, and the entire SVG canvas supports pan and zoom via the `zoom` event.

AAbhijeet Panda

Let's make a face with D3.js!

This example demonstrates a hierarchical tree visualization of world regions and countries, arranged in a structured layout with labeled nodes. The visualization shows the geographic hierarchy from continents down to individual countries, with each text node sized according to its depth in the tree. The code uses D3.js v5 APIs including `tree()`, `hierarchy()`, `linkHorizontal()`, and `zoom()` to compute the layout, draw the connecting paths, and provide interactive zooming. Data comes from a local `data.json` file with region and country names, rendered as SVG elements with custom text shadow styling.

Ss-janibekova

Tree Diagram

This interactive tree diagram displays a hierarchical dataset of world geography, starting from the root "World" and branching into continents, regions, and countries. It is rendered using D3 v5 with an SVG output, employing the `tree` layout and `hierarchy` functions. The visualization uses `linkHorizontal` to draw curved links between nodes and supports zooming and panning via the `zoom` behavior. Text labels are positioned based on node coordinates, with font sizes scaling by depth, and the data is loaded from a JSON file.

WWarren-Fitzhenry

World Countries Tree

This interactive visualization displays the hierarchical structure of world countries, organized by continent and subregion. The tree layout uses horizontal links to connect parent nodes to their children, with text labels sized inversely to depth for readability. Built with D3 v5, the code employs `d3.tree` and `d3.hierarchy` to process the nested JSON data, while `d3.linkHorizontal` generates the curved paths and `d3.zoom` enables panning and scaling, rendering everything as SVG elements.

Yyeeah

World Countries Tree

This example shows a hierarchical tree of world countries using a horizontal node-link layout. The visualization maps the nested structure of the data to a tree, with text labels sized according to depth level. The code uses D3 v5’s `tree`, `hierarchy`, and `linkHorizontal` to position nodes and draw curved links, while a zoom behavior lets viewers pan and scale the entire SVG. Data is loaded via `d3.json` from a local `data.json` file, with text styled using the Playfair Display font and paths stroked in green.

Yyeeah

Let's make a face with D3.js!

This interactive visualization displays the hierarchical structure of world regions using a tree layout, with each node representing geographic entities from a JSON dataset. The chart renders as a dendrogram with branching paths drawn as horizontal links, while all node labels are displayed as text. Built with D3.js v5, the code uses the `tree()`, `hierarchy()`, and `linkHorizontal()` APIs to compute positions and paths, and includes zoom functionality via `zoom().on('zoom', ...)` for exploring the data. The visualization is rendered as SVG with custom styling for node text and edges.

RRohit440