SANKEY Experiment

SANKEY Experiment

This example shows a Sankey diagram with five nodes and seven links, where the width of each link is proportional to its value, and nodes can be dragged to rearrange the flow. The visualization is built using D3 v4 and the `d3.sankey()` plugin, which handles node layout and link computation, while the SVG rendering uses `d3.select()` to append paths and rectangles. The code uses `d3.drag()` for interactive node movement, and the data is loaded from a JSON file with `d3.json()`.

94% 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.

94% match

SANKEY Experiment

This example demonstrates an interactive Sankey diagram with draggable nodes using d3.js v5. The visualization shows flow relationships between five nodes with seven weighted links, rendered as SVG paths and rectangles. The code loads data from a JSON file via d3.json, applies the d3.sankey plugin for layout computation, and uses d3.drag to enable node repositioning. A relayout function recalculates link paths dynamically when nodes are dragged. The diagram uses color from d3.scaleOrdinal and formats values as "Widgets" units.

94% 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()`.

SANKEY Experiment

This example shows a small Sankey diagram with seven links connecting five nodes, visualizing the flow of "Widgets" between named sources and targets. The code builds the diagram using the d3.js v4 library, loading link data from an external CSV file and parsing it into node and link objects. The diagram renders as an SVG with draggable node rectangles and curved link paths, using d3.sankey for layout, d3.csv for data loading, and d3.drag for interactive node movement.

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 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 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.