Missing Migrants Multiple Views Cleanup

100%

Missing Migrants Multiple Views Cleanup

✓ Published1🌍 Public

Last edited Feb 10, 2021

Created on Feb 10, 2021

Forked from Missing Migrants Multiple Views

A composite visualization combines a bubble map with a time-series histogram to show global migrant deaths and disappearances. The map uses `d3.geoNaturalEarth1` and `d3.geoPath` to render country boundaries and graticules, with circle areas scaled by `d3.scaleSqrt` based on total dead and missing. The histogram bins reported dates by month using `d3.bin` and `d3.timeMonths`, summing casualties per bin. Both views use React and D3 v5, drawing to SVG, with data from the Missing Migrants Project.

AI-generated description

A world map showing cities with population greater than 50,000. City data from Simplemaps: World Cities Database.

Country boundaries from World Atlas TopoJSON, polished for visual style, including graticules.

MIT Licensed

Similar vizzes

Loading thumbnail…

Missing Migrants Multiple Views & Cleanup

This visualization combines a bubble map and a time-series histogram to show the global distribution and monthly trends of missing migrants. The map uses d3.geoNaturalEarth1 and d3.geoPath to render world landmasses, with circle sizes scaled by the square root of the “Total Dead and Missing” count per location. The histogram bins reported dates by month using d3.bin and timeMonths, summing fatalities per bin, with axes drawn via d3.scaleTime and d3.scaleLinear. Both views render as SVG within a React app, pulling data from a CSV of Missing Migrants Global Figures.

JJoe Hutchins

96% match

Loading thumbnail…

Missing Migrants Multiple Views

This visualization combines a bubble map and a histogram to explore the global count of dead and missing migrants. The map uses a natural earth projection to place circles on a world map, where each circle’s radius is scaled to the total number of dead and missing for a given location. A time-series histogram below aggregates the data by month, showing the sum of deaths over time. The map is rendered using D3’s `geoNaturalEarth1` projection and `geoPath`, while the histogram leverages D3’s `bin` and `timeMonths` functions. Both views are built with React, drawing SVG marks.

KKevin McMorrow

95% match

Loading thumbnail…

Missing Migrants Multiple Views

This visualization combines a geospatial bubble map with a temporal bar chart to examine global migrant deaths. The upper map projects each incident’s coordinates using `d3.geoNaturalEarth1` and `d3.geoPath`, with circle radius scaled by `d3.scaleSqrt` according to the reported dead and missing count. The lower histogram bins incidents by reported date using `d3.bin` and `d3.timeMonths`, aggregating the same count metric. Both views read from a CSV of Missing Migrants Project data, rendered as SVG within a React component.

LLove Wessman

95% match

Loading thumbnail…

Missing Migrants Multiple Views

This visualization combines a bubble map and a date histogram to explore missing migrant incidents worldwide. The map projects data points using d3.geoNaturalEarth1 and d3.geoPath, with circle radii scaled by d3.scaleSqrt based on the total number of dead and missing. The histogram aggregates incidents by month using d3.bin and d3.timeMonths, summing fatalities per bin. Both views render as SVG within a React framework, pulling data from the Missing Migrants Project CSV and world-atlas TopoJSON.

Rrstrauss127

94% match

Loading thumbnail…

Missing Migrants multiple views

This visualization presents missing migrant data through two linked views: a world map with proportional bubbles and a time-series histogram. The BubbleMap uses d3.geoNaturalEarth1 and d3.geoPath to render country boundaries, with circle sizes scaled by d3.scaleSqrt to show total deaths and missing persons. The DateHistogram bins reports by month and displays aggregate counts as bars, using d3.csv for data loading and React for component rendering with SVG. The data comes from the Missing Migrants Global dataset.

MMark Lam

94% match

Loading thumbnail…

Missing Migrants: Multiple Views

This visualization displays global migrant mortality events using two coordinated views: a natural Earth projection bubble map and a time-series histogram. The map positions each event as a semi-transparent circle scaled by the square root of the total dead and missing, while the histogram aggregates monthly totals. Both views use React and D3 v5, with `d3.geoNaturalEarth1` and `d3.geoPath` for map rendering and `d3.histogram` for binning. Data comes from the Missing Migrants Project CSV, with country boundaries from World Atlas TopoJSON.

RRiccardo De Lucia

94% match

Loading thumbnail…

Missing Migrants - multiple views

This visualization presents the Missing Migrants dataset through two synchronized views: a world map using a bubble chart and a time-series histogram. The map displays circles scaled by the square root of the total dead and missing per location, projected using `geoNaturalEarth1` and `geoPath`. The histogram bins reported dates by month using `d3.bin` and `timeMonths`, summing fatalities per bin. Both views are rendered with SVG via React components, leveraging D3 scales and axes. Data is loaded from a CSV using `d3.csv`.

SSai Phaltankar

94% match

Loading thumbnail…

Missing Migrants Multiple Views

This interactive visualization combines a bubble map and a date histogram to explore global missing migrant incidents. The map uses a D3 geoNaturalEarth1 projection with geoPath to plot circles scaled by the total number of dead and missing, while the histogram bins incidents by month using d3.bin and aggregates deaths with d3.sum. Data comes from a CSV of Missing Migrants records, rendered as SVG elements within a React framework.

KKazushige Okuma

94% match