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

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.

91% 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

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 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.

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

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.

87% match