SANKEY Experiment

SANKEY Experiment

This sankey diagram visualizes the flow of widgets between seven nodes, with link thickness proportional to the value of each connection. The diagram uses d3.js v3 with SVG rendering, loading JSON data that defines nodes and links by name. The code leverages the custom `d3.sankey` API to compute node positions and link paths, with interactive node dragging that triggers relayout. Node and link titles display labels and values on hover, while the color scheme uses `d3.scale.category20()` to differentiate node groups.

PPragyagarg

94% match

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.

93% 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 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

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.

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 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

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.