SANKEY Experiment

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.

96% match

SANKEY Experiment

This Sankey diagram shows the flow of "Widgets" between five named nodes, with link thickness indicating the quantity transferred. Built with D3.js v5 and a custom `d3.sankey` plugin, it loads JSON data with node names, maps links accordingly, and lays out the graph automatically. The diagram supports interactive dragging of node rectangles, which triggers a `relayout()` to update link paths. Rendering uses SVG elements with semi-transparent curved paths and categorical color fills per node.

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.

SANKEY Experiment

A Sankey diagram visualizes the flow of "Widgets" between five nodes, with link thickness proportional to the quantity transferred. The layout uses `d3.sankey()` from a custom `sankey.js` plugin, rendering nodes as SVG rectangles and links as cubic Bézier paths, while interactively dragging nodes triggers `sankey.relayout()`. Node and link tooltips display values via `d3.format`. The data originates from `sankey.json`, which defines the nodes and edges.

JJimMaltby

SANKEY Experiment

A Sankey diagram visualizes the flow of widgets between five nodes, with link widths proportional to the volume of each connection. The code loads data from a JSON file and uses d3.sankey(), d3.drag(), and standard SVG elements to render the network. Nodes are draggable, triggering a relayout that recalculates link paths in real time.

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 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.

94% match

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.