Skip to main content
SimilarExport ZIP
100%

Sankey Interpolation

✓ Published0🌍 Public
Mmbostock
Last edited Feb 9, 2016
Created on Oct 26, 2012

A line chart plots five data points from a CSV file with a custom interpolation method. The `interpolateSankey` function creates a smooth, horizontal-tangent curve between points, mimicking a Sankey diagram's flow aesthetic, while the `d3.svg.line` and `d3.svg.axis` APIs render the SVG path and axes. Data is loaded via `d3.csv` and scaled with `d3.scale.linear`.

AI-generated description

A custom line interpolator with horizontal tangents.

gpl-3.0 Licensed

Similar vizzes

Loading thumbnail…

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.

Dd3noob
77% match
Loading thumbnail…

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
76% match
Loading thumbnail…

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.

Dd3noob
76% match
Loading thumbnail…

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.

Dd3noob
76% match
Loading thumbnail…

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.

Dd3noob
75% match
Loading thumbnail…

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.

Dd3noob
75% match
Loading thumbnail…

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.

Dd3noob
74% match
Loading thumbnail…

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
74% match