SANKEY Experiment

SANKEY Experiment

This Sankey diagram visualizes the flow of values between five named nodes (Barry, Frodo, Elvis, Sarah, and Alice) using the d3-sankey extension for D3 v7. The SVG rendering uses `d3.json` to load node and link data where links reference nodes by name rather than index. Each node appears as a colored rectangle with text labels, while curved link paths show the magnitude of flow with stroke widths and hover effects. The code builds the diagram by mapping link sources and targets to node objects before applying the Sankey layout algorithm.

92% 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()`.

92% match

SANKEY Experiment

This example shows a small data flow between named entities (Barry, Frodo, Elvis, Sarah, Alice) as a sankey diagram, with colored, draggable nodes and curved links whose widths scale with link values. It loads external CSV data, processes it into nodes and links, then uses the custom `d3.sankey` layout and `sankey.link()` path generator to render the SVG. Colors come from `d3.scaleOrdinal` with `d3.schemeCategory10`, and interactive dragging triggers `sankey.relayout()` to update paths.

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 shows a sankey diagram built with D3.js, using external CSV data that specifies named source and target links with numeric values. The chart visualizes the flow of "Widgets" between named nodes, with the width of each link proportional to its value, and supports interactive node dragging. The code uses d3.sankey for layout, d3.csv for data loading, d3.behavior.drag for node movement, and renders the diagram as SVG with semi-transparent black link paths and colored node rectangles.

SANKEY Experiment

This Sankey diagram visualizes flows between named entities using d3.js v4, with data loaded from an external CSV file containing only source, target, and value columns. The chart uses the d3.sankey plugin to compute node positions and link thicknesses, rendering nodes as colored rectangles with labels and links as curved paths whose stroke width encodes flow magnitude. Hovering over a link or node reveals the exact quantity in "Widgets" via a tooltip. Nodes are draggable, and the layout dynamically recalculates link paths on drag. The example, based on D3 Tips and Tricks v4, demonstrates how to transform raw tabular CSV data into a Sankey diagram with minimal preprocessing, using d3.nest to deduplicate nodes and d3.drag for interactivity.

JJoePlant

SANKEY Experiment

This visualization demonstrates a Sankey diagram using D3.js v5, displaying flows between nodes with width-proportional links. Built with SVG, it renders colored rectangles for nodes and semi-transparent black curves for links, with interactive drag-and-drop repositioning that triggers smooth link updates. The diagram, titled “SANKEY Experiment,” loads its data from an external JSON file and includes hover tooltips showing source, target, and value. The code adapts a D3 v4 block by d3noob and uses the custom sankey.js layout module to compute node positions and link paths, with a units label of "Widgets" and a color scale from d3.schemeCategory10.

GGerardoFurtado

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.