SANKEY Experiment

SANKEY Experiment

This example uses a Sankey diagram to visualize the flow of values between five nodes, with links showing the quantity transferred from each source to its targets. The diagram is rendered as an SVG using d3.v7 and the d3-sankey plugin v0.12.3, with node rectangles colored using d3.scaleOrdinal and d3.schemeCategory10. Link thickness encodes the flow value, and hovering highlights the links. Data is loaded from a static JSON file (sankey.json) containing the node and link definitions.

95% 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.

94% match

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.

94% match

SANKEY Experiment

This is a Sankey diagram that visualizes the flow of values between named nodes, with the source and target data loaded from an external CSV file. The diagram uses the `d3-sankey` extension library on top of d3.v6, with nodes rendered as colored rectangles and links as semi-transparent black paths with widths proportional to their values. The code explicitly formats numbers and applies a categorical color scheme using `d3.scaleOrdinal`, while interactive hover states on links increase their opacity. Rendered as SVG, the visualization includes node labels and tooltips via `title` elements.

93% 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.

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()`.

SANKEY Experiment

A small Sankey diagram visualizes energy-style flows between five named people, with links and node values drawn as proportional colored bars and connecting paths. The example demonstrates loading graph data from a JSON file where node and link references use names instead of numeric indices, requiring a lookup map to connect sources and targets. Built with D3 v6 and the d3-sankey module, it renders to SVG using `d3.sankey`, `d3.sankeyLinkHorizontal`, and `d3.scaleOrdinal` for node coloring, with hover tooltips via `title` elements.

SANKEY Experiment

This example shows a sankey diagram built with D3 v7 and the d3-sankey module, using SVG rendering. It loads link data from an external CSV file, where each row defines a source, target, and value, then converts text labels into numeric node indices for the layout. The visualization displays named nodes and flowing links with widths proportional to values, using `d3.sankey()` and `d3.sankeyLinkHorizontal()` for positioning. Node colors come from a categorical scale, and hover effects adjust link opacity.