44) Multiple Views with Brushing

Multiple Views with Brushing

This interactive visualization combines a world map and a time series histogram to explore migrant deaths and disappearances. The map displays circles sized by death counts using d3.geoNaturalEarth1 and d3.geoPath, while the histogram aggregates monthly totals with d3.histogram. Brushing on the histogram filters the map’s data through a brushX interaction, updating the circles in real time. The data comes from the Missing Migrants Project CSV, rendered as SVG within a React framework.

Nnkohdatavis

Multiple Views with Brushing

This interactive visualization combines a bubble map and a date histogram to explore migrant deaths and disappearances worldwide. The map displays incidents as proportional circles overlaid on natural Earth projections using `d3.geoNaturalEarth1` and `d3.geoPath`, while the histogram aggregates monthly totals. Users can brush the time axis with `d3.brushX` to filter the map’s displayed incidents in real time. Both views use SVG rendering within a React framework, with data sourced from the Missing Migrants Project CSV and country boundaries from World Atlas TopoJSON.

GGeniXiong

Multiple Views with Brushing

This example pairs a natural Earth bubble map with a time-series histogram, both rendered as SVG, to visualize global migrant deaths and disappearances. Brushing on the histogram filters the map’s circles in real time, showing only incidents within the selected date range. The map uses `d3.geoNaturalEarth1` and `d3.geoPath` for projections and country boundaries from TopoJSON, while the histogram aggregates monthly totals with `d3.bin` and `d3.sum`. Data comes from the Missing Migrants Project, with circle sizing scaled by `d3.scaleSqrt`. React manages state, and D3’s `brushX` drives the interactive filtering.

ZZG

Multiple Views with Brushing

This interactive visualization combines a world bubble map and a time-series histogram to explore migrant deaths and disappearances. Users can brush over the date histogram to filter the map, dynamically updating the displayed circles. The map uses a natural Earth projection via `d3.geoPath` and `d3.geoNaturalEarth1`, while the histogram uses `d3.bin` and `d3.brushX`. Data comes from a CSV of Missing Migrants Global records, rendered as SVG circles with `d3.scaleSqrt` sizing.

NNikhil Reddy Manda

Multiple Views with Brushing

This example combines a world map and a time-series histogram to visualize migrant deaths. The map uses a natural Earth projection with graticules and land outlines, while circles sized by square-root scaling represent the dead and missing. The histogram bins the same data by date, and its interactive brush selection filters the map's circles, demonstrating linked views. The visualization uses React components, D3’s `geoNaturalEarth1`, `geoPath`, `scaleSqrt`, `bin`, and `brushX` for the interaction, with data sourced from a CSV of missing migrants.

KKai Stewart

Multiple Views with Brushing

Two synchronized views explore migrant deaths and disappearances: a bubble map using a natural Earth projection and a time-series histogram. Brushing a time range in the histogram filters the map’s circles, which are scaled by the square root of the total dead and missing. The React app uses `d3.geoNaturalEarth1`, `d3.geoPath`, `d3.scaleSqrt`, and `d3.brushX`, with country boundaries from World Atlas TopoJSON and city data from Simplemaps. SVG rendering shows graticules, landmasses, and interactive months.

XXiaoleiGuo

Multiple Views with Brushing - Jan

This interactive visualization tracks migrant deaths and disappearances worldwide, combining a bubble map with a date histogram. Brushing a time range on the histogram filters the map’s circles, which are scaled by death counts per location. The map uses `d3.geoPath` with Natural Earth land and graticules, while the histogram applies `d3.histogram` and `d3.brushX`. Country boundaries come from the World Atlas TopoJSON, and migration data is loaded from a CSV via `d3.csv`.

Jj9magayanes

Multiple Views with Brushing

This interactive visualization combines a world map of migrant deaths with a linked time-series histogram. The map uses a d3.geoNaturalEarth1 projection with d3.geoPath to render country boundaries and graticules, plotting circles scaled by d3.scaleSqrt to represent the total number of dead and missing. Users brush the histogram to filter the map, updating the displayed circles in real time. The data comes from the Missing Migrants Project CSV, with the histogram using d3.bin and d3.brushX to aggregate monthly totals.

HHeechan lee