Missing Migrants(multiple views)

100%

Missing Migrants(multiple views)

✓ Published0🌍 Public

Last edited Apr 14, 2024

Created on Apr 14, 2024

This interactive dashboard visualizes data on missing migrants through two coordinated views: a bubble map plotting incidents geographically with circle size scaled to the square root of the death count, and a date histogram aggregating monthly totals. The map renders world landmasses and graticules using `geoNaturalEarth1` and `geoPath` from d3, while the data is binned using `histogram` and `timeMonths`. Both views are built with React and SVG, pulling from a CSV of Missing Migrants records.

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 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

95% 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

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 presents missing migrant incidents on a world map with proportional bubbles, alongside a time-series histogram of monthly deaths. The React-based interface renders geographic data using `d3.geoNaturalEarth1`, `d3.geoPath`, and `d3.geoGraticule`, with bubble sizes scaled via `d3.scaleSqrt`. The histogram bins reported dates by month using `d3.histogram` and `d3.timeMonths`. Both views display data from a CSV of Missing Migrants Project records, loaded with `d3.csv` and overlaid on a World Atlas TopoJSON basemap.

Jjwlam83

94% 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 - 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

94% match

Loading thumbnail…

Missing Migrants on a Map (Multiple Views)

This interactive visualization combines a geographic bubble map with a time-series histogram to explore missing migrant incidents worldwide. The map projects incident locations using D3's `geoNaturalEarth1` projection and `geoPath`, with circle radii scaled by the square root of the death count via `scaleSqrt`. A histogram below aggregates incidents by month, using `scaleTime`, `timeMonths`, and the `histogram` binning API. Data comes from a CSV of global missing migrant records, rendered as SVG within a React framework using specified D3 v5 modules.

PPhronesis

94% match

Loading thumbnail…

Missing Migrants on a Map Multiple Views

This interactive visualization pairs a geographic bubble map with a time-series histogram to explore global missing migrant incidents. The map uses `d3.geoEqualEarth` projection and `d3.geoPath` to render landmasses and graticules, with circle radii scaled by `d3.scaleSqrt` based on total dead and missing. Below, a `DateHistogram` bins records monthly via `d3.bin` and `d3.timeMonths`, summing fatalities. Data comes from a CSV of the Missing Migrants Project, rendered with React 16 and D3 v5. The combined SVG view offers spatial and temporal context for the same dataset.

AAndre J Denais

93% match