SANKEY Experiment

SANKEY Experiment

A Sankey diagram displays flow quantities between six named stages—Scrap, Matched, CRB, Prodc, XRM, and PN OTD—with link thickness scaled to numeric values. The D3.js v3 library’s `d3.sankey` plugin computes node positions and link paths, while `d3.behavior.drag` enables interactive node repositioning with automatic relayout. SVG rendering uses color-coded rectangles and bezier curves, with hover tooltips showing exact link and node values.

BBhavyatulasi

79% match

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()`.

78% match

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.

78% 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.

SANKEY Experiment

This example shows a sankey diagram tracking notification flows, using D3.js 3.5.17 with custom `d3.sankey` layout functions and SVG rendering. The diagram visualizes how 65,205 total notifications split into matched and scrap categories, with matched items further distributed across XRM, Prodc, PN OTD, and CRB targets. The code defines the sankey layout, node width, padding, and link curvature, while styling node rectangles and semi-transparent links. Clicking or hovering is not implemented; the visualization primarily demonstrates the classic D3 sankey layout with data loaded from a JSON file.

BBhavyatulasi

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 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 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.