Fork of World Countries Tree

Fork of World Countries Tree

This visualization displays a hierarchical tree of world countries, organized by continent and subregion. The D3.js v5 code uses `d3.tree()` and `d3.hierarchy()` to lay out the data, with `d3.linkHorizontal()` generating the curved connecting paths. Node labels appear as text elements with sizes that decrease with depth, while a `d3.zoom()` handler enables pan and zoom interactions on the SVG. The visualization is based on a static JSON dataset containing the country groupings.

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Fork of World Countries Tree

This visualization shows the hierarchical organization of world countries, grouped first by continent and then by subregion, using a horizontal tree layout. The code employs D3 v5’s `tree()` and `hierarchy()` functions to compute node positions, then renders the connecting links with `linkHorizontal()` as SVG paths. The data is loaded asynchronously from a local JSON file via `d3.json`. The resulting chart displays countries as leaf nodes without labels, emphasizing the structural branching pattern of the geographic taxonomy.

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Fork of World Countries Tree

This visualization shows a hierarchical tree of world countries, organized by continent and subregion, with each country displayed as a text label. The tree layout from D3 v5 arranges nodes vertically, and a zoom behavior allows users to pan and scale the SVG view. The code uses `d3.hierarchy`, `tree().size()`, `linkHorizontal()`, and `d3.zoom()`, while the data comes from a local `data.json` file with a nested structure. Label font size decreases with depth, and curved links are drawn between parent and child nodes.

96% match

Fork of Fork of World Countries Tree

This visualization displays the hierarchical structure of world countries, organized by continent and subregion, as a branching tree diagram. Using the D3.js library (v5), the code loads data from a JSON file and renders it as an interactive SVG graphic, with zoom functionality enabled via the `zoom` API. Hierarchical links are drawn using `linkHorizontal` path generators, and text labels display each country's name with font sizing adjusted by tree depth, creating a clear overview of global geographic relationships.

Fork of Fork of World Countries Tree

Fork of World Countries Tree

This visualization shows a hierarchical tree of world countries, organized by continent and subregion, with country names displayed at varying font sizes based on their depth in the tree. It uses D3 v5 with the `d3.tree` layout and `d3.hierarchy` to compute the node positions, while `d3.linkHorizontal` generates the curved connecting paths. The SVG rendering supports zooming and panning through D3's `d3.zoom` behavior, and the data comes from a local `data.json` file containing the nested geographic structure.

NNelson Ameyo

Fork of World Countries Tree

This visualization displays a hierarchical tree of world countries organized by continent and subregion, using a left-to-right layout with horizontal links. Built with D3 v5, it leverages `d3.hierarchy` and `d3.tree` to process the JSON data, while `d3.linkHorizontal` generates the curved paths. The SVG renders country names as text nodes with font size decreasing by depth, and implements `d3.zoom` for panning and scaling. Data comes from a static `data.json` file.

AAnil kumar

Fork of World Countries Tree

This visualization displays a hierarchical tree of world countries, organized by continent and subregion. It uses a left-to-right dendrogram layout, with each country shown as a text label at the leaf level. The code employs d3.tree and d3.hierarchy to compute the layout, d3.linkHorizontal for the curved connecting paths, and d3.zoom for panning and zooming the SVG canvas. Font size decreases with depth, and the data originates from a structured JSON file.

DDi Cui