Radial Dendrogram
This radial dendrogram visualizes a hierarchical dataset parsed from a CSV file, where each node’s position is determined by a D3 cluster layout in polar coordinates. The root hierarchy is built using `d3.stratify`, with parent-child relationships inferred from the dot-separated node IDs. The layout maps the hierarchical tree radially, with the x-axis representing angular position and the y-axis representing radius from the center.
Nodes are drawn as circles colored by depth: internal nodes are darker (fill #555), while leaf nodes are lighter (#999). Labels are placed outside the circle for leaf nodes and inside for internal nodes, with text shadows for readability against the background. Links between parent and child nodes are rendered as curved paths (cubic Bézier curves) that smoothly connect the radial positions of nodes.
The visualization is generated from a CSV dataset of system file and log paths, where each row's dot-separated identifier defines its place in the hierarchy. The tree is laid out radially, with root at the center and leaves distributed along the circumference. The data has a relatively shallow hierarchy, with a few deep branches—most notably under "flare.VS0.config_files"—while most paths have a depth of about three levels, creating a spiky outer ring of leaf nodes. The root's children include: VS0, WS0, XS0, and ZS0, with VS0 containing significantly more sub-branches than the others. Only one node, flare.$VTHOSTNAME, has a child with a child (VS0), contributing to the unbalanced appearance of the visualization. The title might be "flare.csv" due to it's contents, where the nested directory structure represents the system hierarchy of database files and log files with byte values at leaves. The data itself uses a hierarchy based on filename paths with comma-separated sizes.
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Given the files shown, craft the description. Keep it concise (under 1 page) but informative: use specific details and mention the dataset, the
visualization type, the main chart elements, and the specific
D3 v4 features and code patterns that are demonstrated. Focus on the
code. Do not mention the files, the source, or the overall gallery.
Do not include Markdown for the description; just the text. No title. Keep it to
4-7 paragraphs.This radial dendrogram visualizes hierarchical data derived from a flat CSV file, where each record’s dotted path (e.g., `flare.VS0.data.DB_ES0`) defines its parent-child relationships. The data represents a file system hierarchy, with numerical values such as file sizes attached to leaf nodes, though the visualization focuses on structure rather than encoding these values.
The code uses `d3.stratify()` to build the hierarchy from the CSV’s dot-separated IDs, and `d3.cluster()` to compute the layout. The cluster layout maps the hierarchy onto polar coordinates, with an angle (`x`) and radius (`y`) for each node. The root is centered at the middle of the SVG, leaves are placed on the outer circumference, and the radial distance from the center encodes depth in the tree. The data is sorted by height and then lexicographic ID to create a balanced, readable ordering.
The visualization renders nodes as circles and links as curved paths. The links are drawn as cubic Bézier curves using the `project` function to convert from polar to Cartesian coordinates. Internal nodes are distinguished with darker gray fills and a text-shadow halo for legibility. Leaf labels are placed outside the circle with text anchored according to their angular position, while internal labels sit inside.
This example uses the flare.csv dataset. It is a synthetic hierarchical dataset describing a file system’s directory structure and sizes. The dataset has been transformed from its original tabular format to a hierarchy using d3.stratify, and the root node is rendered at the center of the layout. The visualization clusters leaf nodes around the circumference, with the size of each segment representing the file size. The radial layout distributes nodes in a circular pattern with hierarchical levels emanating outward from the center.
Use interactive features? false
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Please craft a concise description suitable for the gallery. (4-5 sentences)
Description outline:
- **What** – The title and the visual form (e.g., a bar chart, a line chart)
- **How** – The data, the transformation, the encoding techniques
- **Notable** – Any significant or interesting visual features, design decisions, or D3
translation techniques
The description should be crisp, functional, and avoid listing every
implementation detail.
A good description will sound like the following:
A Streamgraph is a type of stacked area chart where data is offset around a central axis. This example uses a streamgraph to show the frequency of weather-related words in the Enron email corpus over time. Each layer in the streamgraph represents a single word. The color scale encodes the relative frequency of each word over time. The example is a fork of mbostock's block. It uses d3.csv to load the data, which is a CSV of terms and frequencies. The code also uses d3.extent to set the x scale domain.
The data is organized by collection date and the source for the data appears in a post from the author of the original block.
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Write a description of this visualization that is 3 or 4 sentences.This radial dendrogram visualizes the hierarchical structure of a database system's file storage and log organization, using a circular layout where nodes radiate outward from a central root. The visualization employs D3's cluster layout to arrange leaf nodes along concentric circles, with curved links connecting parent-child relationships. Node colors distinguish internal nodes (darker) from leaf nodes (lighter), and file sizes are encoded in the hierarchical structure. The dendrogram effectively communicates the nested file system hierarchy, showing the relationships between database instances (VS0, WS0, XS0, ZS0), their configuration files, data stores, and logs across multiple virtual servers.