SANKEY Experiment

SANKEY Experiment

This example uses a Sankey diagram to visualize the flow of values between five nodes, with links showing the quantity transferred from each source to its targets. The diagram is rendered as an SVG using d3.v7 and the d3-sankey plugin v0.12.3, with node rectangles colored using d3.scaleOrdinal and d3.schemeCategory10. Link thickness encodes the flow value, and hovering highlights the links. Data is loaded from a static JSON file (sankey.json) containing the node and link definitions.

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SANKEY Experiment

A dynamic Sankey diagram visualizes the flow of values between five nodes using D3.js v5 and the Sankey plugin layout methods (`d3.sankey`, `sankey.layout`, and `sankey.link`). The SVG-based chart renders colored nodes and curved links with widths proportional to link values, supporting interactive node dragging via `d3.drag` to reposition elements and trigger `sankey.relayout()`. Data from a static JSON file defines node connections and quantitative weights, with hover tooltips showing source–target pairs and formatted widget counts. The example demonstrates custom link-path generation for a compact, explorable flow network.

SANKEY Experiment

A Sankey diagram visualizes the flow of quantities between five nodes, with node colors distinguishing categories and link thickness representing value. The diagram supports interactive dragging of nodes in both axes, recalculating link paths during movement. Built with D3 v4, it uses the d3.sankey plugin for layout and d3.drag for interaction. Data comes from a static JSON file, and the SVG rendering includes hover tooltips showing source, target, and formatted values in "Widgets" units.

SANKEY Experiment

A Sankey diagram shows the flow of values between five nodes (node0 through node4) across three stages, with links varying in thickness according to their assigned weights. The example uses d3.v6 with the d3-sankey plugin (v0.12.3) to compute the layout, generating SVG paths via `d3.sankeyLinkHorizontal()` for the links and rectangles for the nodes. A categorical color scale (`d3.scaleOrdinal` with `d3.schemeCategory10`) colors each node, and hover effects increase link opacity. Data comes from a static `sankey.json` file, demonstrating a basic multi-stage flow visualization.

SANKEY Experiment

A Sankey diagram visualizes the flow of "Widgets" between five named people, with link thickness proportional to transfer values. Built with D3 v4, it uses the `d3.sankey` plugin to compute node positions and link paths, rendering nodes as draggable SVG rectangles and links as cubic Bézier curves via `sankey.link()`. Data loads from a JSON file with named source and target references, which the code maps to node objects before layout. The scene updates interactively on drag, recalculating link depths through `sankey.relayout()`.

SANKEY Experiment

A compact SANKEY diagram built with D3.js visualizes the flow of widgets between five named people (nodes) through seven links, each path’s thickness proportional to its value. The SVG renders node rectangles, draggable via `d3.behavior.drag`, with semi-transparent black links. Data loads from an external JSON file, which the code maps from named source/target strings to node references before applying the `d3.sankey` layout. Interactive relayout on drag updates link paths, while hover tooltips show source, target, and value.

SANKEY Experiment

A Sankey diagram displays the flow of "Widgets" between five nodes, with links showing the directed transfer values. Built with D3.js version 3.5 and the sankey.js plugin, the SVG visualization renders nodes as draggable rectangles and links as curved paths whose thickness encodes flow magnitude. Data loads from an external JSON file, and the chart supports interactive node repositioning, which triggers recalculation of link paths through the sankey.relayout() method. Node and link hover tooltips reveal names and formatted values.

91% match