Skip to main content
SimilarExport ZIP
100%

[SR] Missing Migrants -- Multiple Views

✓ Published1🌍 Public
Ssuserocc
Last edited Mar 5, 2021
Created on Mar 5, 2021

The visualization combines a bubble map and a time-series histogram to explore deaths and disappearances among migrants. The map uses a natural Earth projection and `d3.geoPath` to render country boundaries, graticules, and semi-transparent circles sized with `d3.scaleSqrt`. The histogram, built with `d3.histogram` and `d3.scaleTime`, aggregates monthly totals from the missing migrants dataset. Both views share SVG rendering within a React framework, using `d3.csv` to load the data.

AI-generated description

A world map showing country boundaries from World Atlas TopoJSON, polished for visual style, including graticules.

MIT Licensed

Similar vizzes

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
92% match
Loading thumbnail…

Missing Migrants Multiple Views Cleanup

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.

MMichael Bergerson
92% 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
92% match
Loading thumbnail…

Missing Migrants Multiple Views - Jan

This interactive data visualization combines a bubble map and a date histogram to explore missing migrant incidents. The map projects incident locations using a natural Earth projection with graticules and land boundaries from `topojson`, with circle radii scaled by reported deaths using `scaleSqrt`. The histogram aggregates incidents into monthly bins using `histogram`, `timeMonths`, and `sum`, displaying totals over time. Both views use D3 scales and React components, rendering SVG marks from CSV data on migrant deaths.

Jj9magayanes
92% 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
92% 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
91% match
Loading thumbnail…

Missing Migrants: Part 4 - Multiple Views

This visualization combines a bubble map and a date histogram to explore missing migrant incidents. The map projects incident locations as circles sized by the total dead and missing count using `d3.geoNaturalEarth1` and `d3.geoPath`, while the histogram aggregates counts by month using `d3.histogram` and `d3.scaleTime`. Both views render as SVG within a React app, using the Missing Migrants dataset and world atlas topology.

Zzeeeeem
91% match
Loading thumbnail…

Missing Migrants Multiple Views

This visualization presents recorded incidents of missing migrants through two coordinated views. A bubble map uses a natural Earth projection with graticules to plot incident locations, where circle size encodes the total dead and missing count via a square-root scale. Below, a histogram bins incidents by reported date, summing casualties within monthly intervals. Both views render as SVG using React components and D3 v5 APIs, including `geoNaturalEarth1`, `geoPath`, `scaleSqrt`, `scaleTime`, and `histogram`. Data comes from a CSV of global missing migrant incidents, while country boundaries come from the world-atlas TopoJSON dataset.

Nnpelliccia
91% match