Observable Tree

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This interactive graph visualizes a hierarchical dataset, starting with a root "flare" node and expanding through categories like "analytics," with the force-directed layout used to position nodes. Built with D3 v3, it uses `d3.layout.force()` to simulate physical forces, with node size proportional to the `size` property from the `graph.json` file. The visualization demonstrates how clicking on a parent node toggles the display of its children, allowing users to explore the tree structure. Nodes are rendered as SVG circles with labels, and links are drawn as lines, with color coding distinguishing collapsed, expanded, and leaf nodes.

JJediquu

Tidy Tree

A tidy tree visualization displays the Flare class hierarchy as layered nodes and links, using a horizontal layout where depth is determined by distance from the root. The code implements the Reingold-Tilford algorithm via `d3.tree` and `d3.stratify`, rendering with SVG paths and circles. Interactive text labels identify each class, while internal nodes are visually distinguished by darker fill. The data comes from a CSV file, and the visualization uses `d3.linkHorizontal` to draw curved connecting links.

Mmbostock

Collapsible Tree

This interactive collapsible tree visualizes the hierarchical structure of the Flare dataset, displaying nodes as circles connected by curved links. Users can click any node to expand or collapse its subtree, with smooth 750-millisecond transitions animating nodes and links between positions. The visualization uses D3 v3's `d3.layout.tree` to compute positions, `d3.svg.diagonal` for link paths, and SVG transitions to update the scene. Node colors change from white to lightsteelblue when children are hidden, and the root collapses all branches initially. Text labels position dynamically based on whether a node has visible or hidden children.

Mmbostock

Tree

An interactive tree visualization displays a hierarchical dataset from flare.json, with collapsible nodes, color-coded status indicators, and breadcrumb navigation. The right panel shows user and token details for selected nodes. Implemented with React and D3 v3, it uses `d3.layout.tree`, `d3.svg.diagonal`, and `d3.behavior.zoom` for pan/zoom, with SVG rendering and animated transitions. Node colors reflect time-based status, and blinking effects highlight urgent items, while the interface supports expanding or collapsing all branches.

Ssrinivasjavvadi

Tree with rectangular links

This interactive visualization displays a hierarchical tree structure of the Flare data set, using rectangular links with horizontal and vertical segments to connect parent and child nodes. Built with d3.js (v6), the visualization uses the d3.tree() layout algorithm to position nodes in a radial arrangement, where each node is represented by a rectangle and text label. The tree can be expanded or collapsed by clicking on nodes, with smooth transitions (250ms duration) animating the repositioning of nodes and links via d3.transition() and tweening. The layout dynamically adjusts its viewBox to fit the current tree extent, and nodes with children are highlighted with red strokes, while leaf nodes use green.

PPiotr Paszek

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This interactive visualization uses a circular packing layout to display a hierarchical dataset from the file `flare.json`. The code employs D3.js v4, React, and SVG with animation, leveraging `d3.hierarchy` to aggregate leaf sizes and `d3.pack` to position circles. Clicking on a node triggers a smooth zoom transition via `d3.transition` and `interpolateZoom` to focus on that subtree, while text labels fade in and out based on parent relationships.

LLaowei42

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An interactive drag-and-drop tree diagram visualizes the hierarchical structure of the Flare JSON dataset. The visualization uses D3.js v3 to render nodes and links as SVG elements, and incorporates an animation system with a zoom listener and pan controls. The tree layout is computed using `d3.layout.tree` and `d3.svg.diagonal` projections, while node dragging and sorting are handled through custom JavaScript functions. The interface allows users to explore the dataset by repositioning nodes within the tree.

Ssrinivasjavvadi

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This example shows a hierarchical clustering tree of the flare dataset, rendered as a radial layout with circular nodes and curved links. The visualization uses D3 v4’s `d3.stratify` to convert CSV data into a hierarchy and `d3.cluster` to compute the radial positions, projecting Cartesian coordinates with a custom `project` function. Nodes are drawn as SVG circles, with internal nodes filled darker and leaf labels rotated to follow the tree’s circumference. The code loads data from `flare.csv` and relies on SVG paths for the connecting links.

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