Skip to main content
SimilarExport ZIP
100%

Global Migration in 2015

✓ Published0🌍 Public
CCurran Kelleher
Last edited Aug 9, 2016
Created on Jul 2, 2016

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.

AI-generated description

A Chord Diagram visualization of global migration data from 2015. Data is from the United Nations International Migrant Stock Database. Inspired by:

<!-- Start of SimpleHitCounter Code --> <div align="center"><a href="http://www.simplehitcounter.com" target="_blank"><img src="http://simplehitcounter.com/hit.php?uid=2134553&f=16777215&b=0" border="0" height="18" width="83" alt="web counter"></a></div> <!-- End of SimpleHitCounter Code -->
mit Licensed

Similar vizzes

Loading thumbnail…

Chord I

Two side-by-side chord diagrams visualize migration flows among five countries: one for emigration and one for immigration. The diagrams use the VizJS library’s chord layout, invoked via `viz.ch()`, with D3 v4 for SVG rendering. Ribbon widths encode flow magnitudes, which are formatted as thousands with `d3.format`, and group arcs are colored by country using a custom fill function. The data is a hardcoded array of origin–destination pairs, and nodes are reordered with a custom sort function.

NNPashaP
79% match
Loading thumbnail…

Viz - chord - innerRadius

This example visualizes international migration flows between five countries using a chord diagram. The chart arranges the countries around a circular layout, with curved ribbons connecting source and target nations, where ribbon thickness encodes the volume of people moving between them. The inner radius of the chord layout is set to 130 pixels, creating a hollow center. It uses the Viz.js library’s `viz.chord()` function, which is called on a D3 v4 selection, while the data is provided as an array of source-target-value tuples and rendered as an SVG.

NNPashaP
76% 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
76% match
Loading thumbnail…

Untitled

This interactive visualization displays global migration patterns using an interactive globe. Force-directed layout drives the placement of circular nodes representing countries, with their size tied to migration counts. The visualization employs the h3-js library for geo-indexing and d3.js’s force simulation to arrange the network. Users can hover over nodes to reveal connected migration flows, while the globe can be rotated and zoomed to explore regional patterns.

Aarun-subba
76% match
Loading thumbnail…

Viz - chord - default

This example shows international migration flows using a chord diagram, where each arc represents the volume of movement between two countries and the connecting ribbons visualize the directional trade of people. The diagram uses `viz.chord()` from the Viz.js library, which is called on a D3 v4 selection, with data passed as a source-target-value matrix. The chart renders as an SVG inside a single `<g>` element, and the underlying data is a hardcoded array of country pairs.

NNPashaP
75% match
Loading thumbnail…

Viz - chord - padAngle

This example visualizes international immigration flows between five countries using a chord diagram with a pronounced pad angle that separates the arcs. The visualization shows directional migration volumes, with the United States, Canada, the UK, China, and India connected by curved bands whose thickness encodes the numeric value of each origin-destination pair. The code builds the chart by combining the viz.chord() API from the vizjs library with d3.select and the d3.v4 framework, rendering entirely as SVG. Data is hardcoded in a getData() function, and the diagram is placed inside a single SVG group transformed to the center of the canvas.

NNPashaP
75% match
Loading thumbnail…

Migrant Chart try3

This example displays migration to the United States from 14 countries as a bar chart, with each bar's height representing the number of migrants. The visualization is built using React and D3 v7, leveraging `d3.csvParse` to load data from a remote CSV file and `d3.scaleBand` and `d3.scaleLinear` to map country names and migrant counts to SVG rectangle coordinates. The chart renders bars as SVG `<rect>` elements, with axes implied by the scales but not explicitly drawn. Data loading is handled via a fetch promise, though the code currently logs parsed results instead of fully wiring them into the state.

Ssucotton9
74% match
Loading thumbnail…

Fork of of V6 Immigrants flow map between countries

This interactive map visualizes global immigration flows to and from selected countries in 2020. Clicking a highlighted country filters and displays bundled migration paths, rendered as curved lines, from that origin to destinations worldwide, with a bar chart below ranking the top 20 destination countries by immigrant count. The visualization uses React with D3 v5, employing `d3.geoNaturalEarth1` and `d3.geoPath` for the map, `d3.ForceEdgeBundling` for flow aggregation, and `d3.scaleBand` with `d3.scaleSqrt` for the bar chart, drawing data from a CSV file.

Sserjunfan
74% match