Multiple Views

100%

Multiple Views

✓ Published1🌍 Public

Last edited Mar 20, 2021

Created on Mar 19, 2021

The visualization combines a bubble map with a date histogram to explore the Missing Migrants Dataset, where each circle on the map represents an event's total dead and missing. The map uses `d3.geoNaturalEarth1` projection with `d3.geoPath` for land and graticule rendering, while the histogram aggregates deaths by month using `d3.bin` and `d3.timeMonths`. Both views share the same dataset, with circle radius scaled by `d3.scaleSqrt` and bars colored teal against a light gray world map.

AI-generated description

A world map of the Missing Migrants Dataset.

Each point in the plot represents a single event.

Country boundaries from World Atlas TopoJSON.

MIT Licensed

Similar vizzes

Loading thumbnail…

Multiple Views

This example combines a bubble map with a date histogram to visualize missing migrant incidents. The map uses a d3.geoNaturalEarth1 projection with graticules and country boundaries from the World Atlas TopoJSON, while circles sized by d3.scaleSqrt represent the total dead and missing. The histogram bins the data by month using d3.bin and sums the casualties with d3.sum, displaying the temporal distribution. Both views are rendered as SVG in React, reading data from a CSV of the Missing Migrants Project.

MMichael Bergerson

94% match

Loading thumbnail…

Multiple Views Cleanup

This example combines a bubble map with a date histogram to visualize the global distribution of missing migrants over time, using data from the Missing Migrants Project. The map uses a `geoNaturalEarth1` projection with `geoPath` to render land, graticules, and interiors, while scaled circles represent the total dead and missing per location. The histogram bins reported dates by month, applying `scaleTime` and `histogram` to aggregate deaths. Both views share the same SVG canvas, with the histogram positioned below the map using a React component hierarchy and D3 scales.

Yyinhao0424

93% match

Loading thumbnail…

Multiple Views

This example combines a bubble map and a date histogram to visualize missing migrants globally. The map uses a natural Earth projection with `d3.geoNaturalEarth1` and `d3.geoPath`, where circle radii scale with the square root of death counts via `d3.scaleSqrt`. Below it, a time-series histogram aggregates monthly totals using `d3.histogram` and `d3.timeMonths`, with bars rendered as SVG rectangles. Both views share data from a CSV file, loaded via `d3.csv` in React.

NNikhil Reddy Manda

93% match

Loading thumbnail…

Multiple Views

This interactive visualization combines a geographic bubble map with a time-series histogram to explore migrant deaths and disappearances. The map displays circles sized by the total dead and missing count using a square-root scale, with an equal Earth projection rendered via `d3.geoPath`. The histogram bins reported dates by month using `d3.bin` and `d3.timeMonths`, with a brush (`d3.brushX`) that filters the map’s data in real time. Both views are built with React and D3 v7, using data from the Missing Migrants Project.

JJosh Zalcman

93% match

Loading thumbnail…

Multiple Views Cleanup

This example combines a bubble map and a date histogram to visualize migrant deaths and disappearances. The map uses a natural Earth projection with `d3.geoPath` to draw country boundaries and circles sized by a square-root scale, while the histogram bins the same data by month using `d3.bin` and `d3.timeMonths`. Both views share a dataset from the Missing Migrants Project, rendered as SVG within a React component hierarchy.

Jjesramyep1263

92% match

Loading thumbnail…

Multiple Views Cleanup

This example combines a bubble map and a date histogram to visualize the locations and timing of migrant deaths and disappearances. The map uses d3.geoNaturalEarth1 and d3.geoPath to render world landmasses with graticules, while circles scaled by d3.scaleSqrt represent the total dead and missing per incident. The histogram below uses d3.bin with timeMonths thresholds and a scaleTime x-axis to aggregate the same data over time, with rect marks colored by the d3.linear y-scale. Data comes from the Missing Migrants Project CSV, and the React components use d3.v5 for all scales and shapes.

Yyuzhang21

92% match

Loading thumbnail…

Multiple Views

A global bubble map and a time-series histogram display missing migrant incidents. The map uses a natural Earth projection via `d3.geoPath` and `d3.geoNaturalEarth1`, with circle radii scaled by `d3.scaleSqrt` based on total dead and missing counts. The histogram aggregates reported dates into monthly bins using `d3.histogram` and `d3.timeMonths`, summing casualties per bin. Both views render as SVG within a React component, fed by a CSV dataset of global missing migrant records.

TThomas Cormican

92% match

Loading thumbnail…

Multiple Views

This example combines a bubble map and a date histogram to visualize the total number of missing migrants over time and location. The map uses `d3.geoNaturalEarth1` and `d3.geoPath` to project circles scaled with `d3.scaleSqrt`, while the histogram bins the data by month using `d3.bin` and `d3.timeMonths`. Data comes from a CSV of global missing migrant incidents, rendered with SVG in a React framework.

Ddaneslutzky

92% match