Chord Diagram

100%

✓ Published0🌍 Public

Last edited Jan 15, 2018

Created on Jan 15, 2018

This chord diagram visualizes directed migration flows between Canadian provinces and territories, using a circular layout where arcs represent total outbound movement and connecting ribbons show the volume of migration from origin to destination. The matrix data is hard-coded in the script, drawn from the included `mig.csv` file. Built with d3.v4, the visualization uses `d3.chord` for layout, `d3.arc` for group segments, and `d3.ribbon` for the directed links, all rendered as SVG with ordinal color scaling and group tick labels formatted in thousands.

AI-generated description

Chord diagrams show directed relationships among a group of entities. Layout inspired by Martin Krzywinski's beautiful work on Circos.

forked from <a href='http://bl.ocks.org/mbostock/'>mbostock</a>'s block: <a href='http://bl.ocks.org/mbostock/4062006'>Chord Diagram</a>

gpl-3.0 Licensed

Similar vizzes

Loading thumbnail…

Gist 5e36771400038b0c861c6617c622c5f7

A map of Canada visualizes interprovincial migration flows for 2017 Q2 and Q3, using animated, arrow-headed routes and scaled circles to show the net movement of people between provinces and internationally. Provincial boundaries are rendered from a TopoJSON file via `d3.geoPath` with a conic conformal projection, while migration data from a CSV file drives the visualization. A dropdown menu lets users switch between time periods, and D3 v4 handles the SVG rendering and animations.

MMbrownshoes

78% match

Loading thumbnail…

Global Migration in 2015

This interactive chord diagram visualizes global migration flows between countries in 2015, using data from the United Nations International Migrant Stock Database. The visualization groups countries by continent and subregion, with colored arcs representing each nation and ribbons showing the volume of migration between them. Users can hover over individual arcs or ribbons to see specific migration counts between country pairs. The visualization is built with D3 v4, using the `d3.chord`, `d3.ribbon`, and `d3.arc` APIs to create the circular layout, with `d3.scaleOrdinal` providing the color scheme and Bootstrap tooltips for the interactive details.

CCurran Kelleher

74% match

Loading thumbnail…

Untitled

This visualization uses a circular chord diagram to display migration patterns between world regions, with colored arcs representing directional flows where arrow size indicates the volume of movement between regions. Built with R, it loads a weighted adjacency matrix from GitHub and processes it using `tidyverse` for data manipulation, `viridis` for the color palette, and `circlize` to render the diagram itself. The plot features rotating sector labels, axis ticks with graduation marks, and arrow-styled links that vary in height to convey migration magnitude.

Sshmouelsamares

72% match

Loading thumbnail…

Choropleth Map

This choropleth map shows how Canada’s provincial and territorial populations changed annually from 1991 to 2019. Animated transitions recolor each region as a slider or playback control (not implemented here) would step through years. The visualization uses D3 v5 with `d3.geoPath` and a `d3.geoAlbers` projection to render TopoJSON boundaries, while population data is loaded from a CSV. Province fill colors are intended to map to population values, though the current code leaves them white.

GGraceXT

71% match

Loading thumbnail…

Chord Diagram2

A chord diagram visualizes directed relationships among groups, here showing material-system connections in construction trades such as Occupants, Flooring, and Structure. Each group appears as an arc segment, with ribbons linking entities proportionally to the matrix values. The example uses D3 v5’s `d3.chord`, `d3.arc`, and `d3.ribbon` to compute and render the layout in SVG, with a custom `groupTicks` function and a pre-defined color scale. Data is embedded as a JavaScript object, and the diagram is rotated 75 degrees with labeled tick marks.

MMingboPeng

68% match

Loading thumbnail…

Chord I

A chord diagram visualizes directed relationships among four entities, with ribbons showing the magnitude of flow between groups and colored arcs representing each group’s total. The layout mirrors Circos and Martin Krzywinski’s design. Built with D3 v4, the code uses `d3.chord` to compute the chord layout, `d3.arc` for the group arcs, and `d3.ribbon` for the connecting bands. Colors come from `d3.scaleOrdinal`, and tick labels are formatted via `d3.formatPrefix`, with matrix data hardcoded in the source.

MMorganhaoyu

67% match

Loading thumbnail…

Chord Chard Diagram

This chord diagram visualizes movement between 64 New York City neighborhoods, with colored arcs and ribbons showing the volume of connections in each direction. The visualization uses d3.chord layout with d3.ribbon paths, rendering in SVG within a React framework. Data comes from two sources: a CSV file providing neighborhood names and colors, and a JSON file containing a migration matrix with connection values. Interactive hover effects fade non-related chords, and tooltips display directional flow counts between neighborhoods.

AAznaggar

67% match

Loading thumbnail…

Chord

This visualization uses a chord diagram to display the pairwise relationships in a 10x10 numeric matrix, with each node representing a class from a CSV file. The diagram shows ribbons connecting the nodes, where each ribbon’s color reflects the source or target node based on which has a higher value, and its opacity is fixed at 0.5. The code loads data with `d3.csv` and `d3.json`, then uses `d3.chord` to compute the chord layout, `d3.ribbon` for the connecting paths, and `d3.arc` for the outer arcs, all rendered as SVG within a React-compatible HTML page using D3 v6.

Vvivianaaai@qq.com

67% match