small scale sankey

Sankey Diagram

A Sankey diagram visualizes the flow of values between five nodes, with links of varying thickness representing the magnitude of each connection. The diagram is rendered as an SVG using D3.js v4 and the `sankey` layout function from the D3 graph gallery library. Node and link data is loaded from a JSON file, and the visualization uses `scaleOrdinal` and `schemeCategory10` for color mapping, with a color legend generated by the custom `colorLegend` function.

KKarkG

90% 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.

90% match

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.

89% 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.

88% 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.

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 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 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()`.