color your d3 sankey using rCharts

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.

76% 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.

75% 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

74% 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.

74% match

SANKEY Experiment

A Sankey diagram shows the flow of values between five nodes (node0 through node4) across three stages, with links varying in thickness according to their assigned weights. The example uses d3.v6 with the d3-sankey plugin (v0.12.3) to compute the layout, generating SVG paths via `d3.sankeyLinkHorizontal()` for the links and rectangles for the nodes. A categorical color scale (`d3.scaleOrdinal` with `d3.schemeCategory10`) colors each node, and hover effects increase link opacity. Data comes from a static `sankey.json` file, demonstrating a basic multi-stage flow visualization.

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.

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

D3 Sankey

This example demonstrates a basic D3.js Sankey diagram using the v3 API, mapping flows between nodes as proportional ribbons. It renders an energy or material flow visualization using the `d3.sankey` layout, with `d3.svg.arc` and linear gradients for smooth link transitions. The code initializes the Sankey plugin and binds data via `d3.json`, though the HTML file currently contains only placeholder text, leaving the diagram unexecuted. Built with the React framework, it relies on D3’s selection and layout methods to generate the static network graph.

Llendup71