World Countries Tree

World Countries Tree

This visualization displays a hierarchical tree of uranium mining operations, mapping corporate ownership through operation types, mines, and facilities as a branching structure. The tree layout presents each node as a labeled text element connected by horizontal link paths, with font sizes scaling by depth level. The interactive view supports pan and zoom controls using d3.zoom with event transforms. Data is loaded from a JSON file and processed through d3.hierarchy and d3.tree functions. The SVG rendering uses d3.linkHorizontal for curved path connections and includes a Playfair Display font styling for all labels.

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87% match

World Countries Tree

This visualization shows a hierarchical tree of uranium mining operations, arranged by corporation, operation type, and specific mine or project. It uses D3 v5's `tree` layout and `hierarchy` to structure the data, with `linkHorizontal` generating the curved paths between nodes. The interactive zoom feature is implemented via `d3.zoom`, allowing users to pan and scale the SVG. Text labels display each node, with font size varying by depth, while the data is loaded from a JSON file.

86% match

World Countries Tree

86% match

World Countries Tree

This example presents a hierarchical tree visualization of uranium operations data, displayed as an interactive SVG diagram. The tree layout, generated with `d3.tree` and `d3.hierarchy`, organizes parent and child nodes across the screen. Users can pan and zoom the entire view using the `d3.zoom` event, which applies a transform to the root grouping. Nodes are represented as text labels with font sizes that scale inversely with depth, while horizontal link paths connect parent to child nodes. The data originates from a JSON file containing nested objects.

World Countries Tree

This interactive visualization displays the hierarchical structure of world countries, organized by continent and subregion using a horizontal tree layout. Users can pan and zoom through the SVG-based diagram, which renders country names as text nodes connected by white paths. Built with D3 v5, the example uses the `tree`, `hierarchy`, `linkHorizontal`, and `zoom` APIs to compute the layout and handle navigation. Data is loaded from a JSON file containing a nested structure of geographic regions and countries, with styling applied via custom CSS.

World Countries Tree

This interactive tree diagram visualizes the hierarchical structure of world countries, organized by continent and subregion. Using D3.js v5, the visualization employs a horizontal tree layout with SVG rendering. The code leverages D3's `tree`, `hierarchy`, and `linkHorizontal` APIs to compute the layout and generate connecting paths. User interaction is supported through D3's `zoom` event, which applies pan and zoom transformations to the entire group. Text labels display country names, with font size decreasing by depth level, while the data source is a JSON file containing the geographical hierarchy.

Iianleekq

World Countries Tree

This visualization shows a hierarchical tree of world countries, with nodes labeled by geographic and organizational identifiers and arranged horizontally across the screen. The text size decreases with each level of depth, and users can pan and zoom the entire structure. The code uses d3.hierarchy to process the data, d3.tree to compute the layout, and d3.linkHorizontal to generate the curved paths between parent and child nodes. Rendering is done via SVG elements, with zoom functionality provided by d3.zoom.

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World Countries Tree

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