SANKEY Experiment

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.

90% match

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.

89% match

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.

89% match

SANKEY Experiment

This sankey diagram visualizes the flow of notifications from a total source through matched and scrap categories, with values displayed for each link transition. Built with React and rendered as SVG using D3.js v3, the visualization loads data from a JSON file containing node and link definitions. The diagram employs the custom `d3.sankey` layout API, which handles node positioning and link thickness calculation through iterative layout algorithms, while CSS styling controls the visual appearance of nodes and links.

BBhavyatulasi

SANKEY Experiment2

This example shows a Sankey diagram tracing the flow of total notifications into matched or scraped categories, then breaking matched notifications into subcategories like XRM, Prodc, PN OTD, and CRB. The diagram uses D3.js version 3.5.17 to render nodes and links as SVG elements with cubic Bézier curves. The layout algorithm iteratively assigns node x-positions by breadth and y-positions by value, using a relaxation process to resolve collisions. The custom `d3.sankey` library handles the node positioning and link depth calculations, while the data is stored in a JSON file with explicit node and link arrays.

BBhavyatulasi

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

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.