Collapsible Tree Hierarchy - Real Data

Collapsible Tree Hierarchy - Real Data

This interactive tree visualization displays the hierarchical structure of MeSH (Medical Subject Headings) data, with nodes representing terms and branches showing parent-child relationships. Users can click nodes to collapse or expand subtrees and navigate through the hierarchy. Built with React and d3.v6, the visualization uses SVG rendering with smooth 250ms transitions, `root.descendants()`, and `tree(root)` for layout computation. Node circles scale based on child count, and click events trigger nested navigation through a node stack while a tooltip shows the selected term's name and key.

94% match

SAVE OF Collapsible Tree Hierarchy - Real Data

This visualization presents a collapsible tree hierarchy of MeSH (Medical Subject Headings) data, organized into a hierarchical structure based on the "MN" field and labeled with descriptive names. Users can click nodes to expand or collapse branches and navigate the hierarchy. Built with React and D3.js v6, the visualization uses SVG and animations to render nodes with dynamic radii and text labels. The data is loaded from a remote JSON file, and custom JavaScript functions categorize entries by their descriptions to sort the tree’s root children.

90% match

Collapsible Tree Hierarchy - Real Data

A collapsible tree hierarchy displays real hierarchical data, with nodes that expand and collapse on click. It also enables navigation by re-rooting the tree view to the clicked node, while a stack tracks the path back to previous roots. The visualization uses d3.v6’s tree layout and transitions, rendering SVG circles and text labels with animated updates. A node-info div shows details for the selected item, and the canvas height dynamically adjusts to fit the visible hierarchy.

Medical Data Tree CURRENT FINAL - testing

This interactive visualization presents a hierarchical tree of medical data sourced from a GitHub repository. The visualization shows a tree structure where nodes represent medical concepts, and users can click on nodes to expand or collapse their children and view detailed information. The tree is rendered using the D3.js library’s hierarchical layout algorithm, with SVG for rendering and CSS transitions for smooth animations. The code also includes a categorization function that uses regular expressions to classify nodes into medical categories like diseases, treatments, and biological processes.

Collapsible Tree Hierarchy - Real Data - Structured

This example presents a collapsible tree hierarchy using real data, rendered as an SVG. The visualization displays nodes that can be clicked to expand or collapse their children, revealing the structured relationships in the data. Built with React and D3 v6, it uses `d3.hierarchy` to process the data and `d3.tree` for layout, with custom JavaScript handling node clicks and updating the tree structure dynamically through `updateTree`.

Medical Data Tree CURRENT FINAL

This interactive visualization presents a hierarchical tree of medical data, allowing users to click on nodes to expand and collapse branches or navigate to a new root. The tree is rendered using SVG with smooth animated transitions, utilizing d3.v6's layout and transition APIs. Node positions and link paths are updated dynamically, with circle sizes reflecting the number of children. Data originates from a JSON file, and node descriptions are categorized into medical topics like diseases and treatments, with a clickable info panel displaying node names and keys.

Collapsible Tree Hierarchy Reformatted - Real Data

This interactive collapsible tree visualization displays hierarchical data as an SVG with animated transitions between expanded and collapsed states. Users click nodes to re-root the tree and reveal child nodes, while a dynamic info panel shows the selected node’s ID and name. Built with d3.v6 and React, it uses the `transition()` API for smooth resizing and layout updates, with node positions computed via `root.descendants()` and `root.links()`. The rendering relies on SVG elements, including circles and text, styled with CSS. The dataset originates from a real source, as indicated in the example’s metadata.

SAVE SPOT Medical Data Tree - Category

This visualization displays a hierarchical tree of medical data from the MeSH (Medical Subject Headings) dataset, organized into categories based on regular expression pattern matching of node descriptions. The interactive SVG tree, rendered with D3.js v6, allows users to click nodes to expand or collapse branches, dynamically updating the layout with smooth transitions while displaying node information in a separate panel. The code uses D3’s tree layout and transition APIs to reposition nodes and links, with node radius scaling based on the number of children.