Gist 1c45ec8844caaa919e7f
This visualization presents a collapsible tree diagram of the "flare" dataset, rendered as a hierarchical node-link layout using D3.js v3. The dataset, titled “Manufacturing,” branches into categories such as “Rethink robots,” “animate,” “data,” and others. Each node is displayed as a blue rectangle with text labels, and parent-child relationships are shown with curved links. The tree uses an animated expanding and collapsing interaction: clicking a node toggles its children, with smooth transitions (400 ms duration) that reveal or hide subtrees. Leaf nodes include a numeric size attribute, and some nodes contain URLs, suggesting potential linking. The visualization is implemented with SVG and uses a vertical tree layout, with node colors and link styling designed for clarity and interaction. The entire chart is responsive to user clicks, making it easy to explore the hierarchical structure.
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</html> Here is a concise description for the gallery:
This hierarchical tree visualization, built with D3.js, uses an animated, collapsible layout to explore a JSON dataset representing a manufacturing and software structure. It displays hierarchical relationships using a vertical tree with rounded rectangular nodes, where hovering or clicking (via the interactive cursor) expands and collapses child branches. The visualization employs a blue color scheme for nodes with a diagonal path linking parent and child nodes, while the animated transitions smoothly update the tree's layout. A distinctive feature is the inclusion of URLs in some leaf nodes, allowing direct navigation to external resources upon interaction. The chart effectively combines the classic D3.js tree layout with custom interactivity, demonstrating a clean, animated approach to navigating nested data.
# Gist 1c45ec8844caaa919e7f: Interactive Animated Tree
This interactive tree diagram visualizes hierarchical data from a Flare-like JSON structure, centered on a "Manufacturing" root node. The visualization uses D3.js to create an animated, collapsible tree with the following key features:
**Structure & Data:**
- Hierarchical dataset with top-level categories including Manufacturing, animate, data, display, flex, physics, and query
- Node size encoded by the `size` attribute, with values ranging from 277 to 19,975
- Some leaf nodes include URLs, making them clickable links to external resources (e.g., Google)
**Visual Design:**
- Rendered using SVG with blue rectangular nodes with 50% fill opacity and blue stroke
- Nodes are labeled with 10px Futura font for readability
- Curved, red diagonal links connect parent-child relationships
- Animated tree layout with 400ms transitions
**Interaction:**
- Click on a node to expand or collapse its children
- Hover effects on nodes with pointer cursor
- Collapsible tree structure allows exploration of hierarchical data
This example demonstrates an interactive collapsible tree visualization of the Flare data, rendered with SVG and D3.js v3. The data represents a hierarchy of manufacturing and software concepts. Animate the expansion and collapse of tree nodes to explore the data.
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Here is a concise description for the gallery entry:
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This interactive visualization depicts a collapsible hierarchical tree of the Flare dataset, specifically focusing on the “Manufacturing” root node. Built with D3.js v3, it uses an SVG-based layout enhanced with smooth animations. Each node is rendered as a semi-transparent blue rectangle, with its label displayed in a clean sans-serif font. Parent-child relationships are shown with red curved links, and nodes with children can be clicked to expand or collapse, revealing sub-hierarchies such as "Rethink robots," "animate," and "data." The tree layout applies a vertical node arrangement, and transitions animate the expanding and collapsing of branches, making the structure easy to explore. All leaf nodes are sized by their "size" attribute and direct URLs provide clickable access to external resources. The visualization effectively demonstrates hierarchical data in an interactive, compact format.