GG vs JDG

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

68% match

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

68% 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.

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 interactive Sankey diagram, built with D3.js v4, visualizes the flow of "Widgets" between five nodes. Users can click and drag the rectangular nodes in both horizontal and vertical directions, which triggers a recalculation of the diagram's layout and redraws the connecting, curved links. The example leverages a Sankey plugin adapted from Jason Davies and loads its node and link data from a local JSON file, with node colors generated from a categorical color scheme.

MMisunoKitara

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 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()`.

66% match

SANKEY Experiment

This is a Sankey diagram built with D3 v4, showing the flow of widgets between named sources and targets such as Barry, Frodo, and Alice. The visualization loads its link data from an external CSV file, then constructs nodes and edges dynamically. It uses the `d3.sankey` layout with a custom `sankey.js` implementation to compute node positions and link thicknesses. Nodes are draggable via `d3.drag`, and the diagram is rendered as SVG with semi-transparent links and color-coded node rectangles.