Nest Treemap

Nest Treemap

This example visualizes UK Home Office air travel spending in 2011 using a treemap. Each rectangular leaf represents a combination of airline supplier, destination, and ticket class, sized and colored by total paid fare. The hierarchy is built with `d3.nest` and rendered using `d3.treemap` from d3.v4. Leaf nodes display labels and formatted currency values, with the data sourced from a CSV file and parsed via `d3.csv`.

89% match

Zoomable Treemap

This zoomable treemap visualizes UK Home Office flight data from 2011, showing hierarchical relationships between destinations, suppliers, and ticket classes. Built with D3 v2 and rendered as an SVG with smooth zoom animations, the treemap uses nested rectangles sized by paid fare amounts, with color encoding categories. Users can click to zoom between hierarchy levels. The data is loaded from a CSV and transformed using d3.nest, while the custom layout function optimizes the treemap for the current zoom state, enabling fluid transitions as users navigate the data.

CCBasis

76% match

Treemap by Count

This treemap displays the hierarchical structure of the Flare dataset, counting each leaf node as equal in size rather than scaling by a numeric value. The visualization uses d3.stratify to build the hierarchy and d3.treemap with a custom sum function that assigns a value of one to non-zero leaves. Each rectangular leaf is rendered as an HTML div, colored by its top-level category using d3.scaleOrdinal with schemeCategory10, and labeled with the node name split across multiple lines.

66% match

Treemap 4.0

This treemap visualizes the hierarchical structure of the Flare dataset, with each leaf node represented as a rectangle sized by its numeric value and colored by its top-level category. A dropdown menu above the chart lets users dynamically switch between five tiling algorithms for the treemap layout. The example uses the `d3_hierarchy` treemap API, setting the tile method based on the selected option, and renders the result as SVG using `d3.csv` to load the data from flare.csv.

FFrissAnalytics

66% match

Treemap

This treemap visualizes the hierarchical structure of the Flare codebase, using rectangular nested cells to represent file sizes and categories. Built with D3.js v4, it uses the `d3.stratify()` and `d3.treemap()` APIs to lay out nodes, with color assigned from a `d3.scaleOrdinal()` palette based on top-level branches. Leaf values from `flare.csv` are displayed inside each cell, while hovering reveals the full path and numeric value. The rendering uses HTML divs positioned absolutely, with nested labels and value text.

rollup-nestby

The visualization demonstrates nested data aggregation by grouping and rolling up values across multiple categorical levels. It uses `d3.nest()` with `.key()` and `.rollup()` functions to transform raw data into a hierarchical structure, which is then rendered as a treemap layout. The color scale applies sequential chromatic interpolation from `d3-scale-chromatic` to encode aggregated values. A custom D3 build bundles modules including `d3-jetpack` utilities, with the visualization rendered as a static treemap using `d3.hierarchy()` and `d3.treemap()`. The example shows how nested hierarchies can be computed and displayed through layered grouping operations.

11wheel

Nested Treemap

A nested treemap visualizes the hierarchical structure of the Flare data set, showing thousands of files and directories as nested rectangles whose areas encode file size and whose color encodes depth in the hierarchy. Hovering highlights the ancestors of the hovered node. The visualization uses D3 v4 APIs including `d3.treemap`, `d3.stratify`, and `d3.scaleMagma`, rendering to SVG. Text labels are clipped per rectangle, and node rects change stroke and dimensions on hover.

D3 treemap tutorial

This example demonstrates a D3 treemap that visualizes task data from a CSV file, aggregated by priority (e.g., WISH, COULD) and then by status (DONE, TODO). Each leaf rectangle’s size encodes the total time spent on tasks in that group, while its color indicates the priority category, with a legend for reference. The visualization uses `d3.nest()` for hierarchical aggregation, `d3.hierarchy()` to build the tree, and `d3.treemap()` to compute tile layouts. Rendering is done with SVG, showing rectangles, text labels, and hover titles.

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