Skip to main content
SimilarExport ZIP
100%

Multiple Views with Brushing

✓ Published0🌍 Public
Ttharuta
Last edited Aug 8, 2021
Created on Aug 8, 2021

A world map displays missing migrant incidents as semi-transparent bubbles, with a linked time-series histogram beneath it showing monthly death tolls. Brushing a time range in the histogram filters the map to show only incidents within that period. The visualization uses React with D3 v5 APIs including `geoNaturalEarth1` and `geoPath` for the map, `brushX` for interactive selection, and `histogram` with `timeMonths` for binning. Data comes from the Missing Migrants Project CSV, with country boundaries from World Atlas TopoJSON.

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…

Multiple Views with Brushing

A world map displays circles sized by the total number of dead and missing migrants, with a linked time-series histogram below showing monthly totals. Brushing a date range on the histogram filters the map circles to only those incidents within that period. The visualization uses React with D3 v5, employing `d3.geoNaturalEarth1` for the map projection, `d3.brushX` for interactive selection, and `d3.bin` with `d3.timeMonths` for histogram binning. Data comes from a CSV of global missing migrants, rendered as SVG.

Wwindwaver
96% match
Loading thumbnail…

Multiple Views with Brushing

A world map displays migrant deaths and missing persons as scaled bubbles, with a time-series histogram below showing monthly totals. Brushing on the histogram is initiated via `brushX`, though only logging to the console. The visualization uses `geoNaturalEarth1` and `geoPath` for the map, `scaleSqrt` for bubble sizing, and `histogram` with `timeMonths` thresholds for binning. Data comes from the Missing Migrants Project CSV, rendered with React and D3 v5 in SVG.

Ddanrhymes
95% match
Loading thumbnail…

Multiple Views with Brushing Faster

A world map displays migrant fatalities with scaled circles, while a time-series histogram below shows monthly death counts. Brushing across the histogram filters the map’s circles to the selected date range. The visualization uses React with D3 v5 for `geoNaturalEarth1` projection, `geoPath`, `scaleSqrt`, `brushX`, and `bin` APIs. Data comes from the Missing Migrants Project CSV, with country boundaries from World Atlas TopoJSON.

Ttharuta
95% match
Loading thumbnail…

Multiple Views with Brushing

This example shows a world map of missing migrant incidents, with bubbles sized by the total number of dead and missing. A time-series histogram below the map displays the same data binned by month. Brushing the histogram filters the map’s bubbles in real time. The visualization uses React for the component structure and `d3.geoNaturalEarth1` with `d3.geoPath` for the map, alongside `d3.brushX` and `d3.scaleTime` for the interactive filtering.

Ee-ines
95% match
Loading thumbnail…

Multiple Views with Brushing

This example shows a world map of missing migrants, with circles sized by total dead and missing, alongside a time histogram of the same data. Brushing on the histogram filters the map to show only incidents within the selected date range. The visualization uses React with D3 v5, including `d3.geoNaturalEarth1` and `d3.geoPath` for the map, `d3.brushX` for brushing, and `d3.bin` for histogram binning. Data comes from the Missing Migrants Project, rendered as SVG.

Jjwlam83
95% match
Loading thumbnail…

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
95% match
Loading thumbnail…

Multiple Views with Brushing

A world map displays the locations and magnitudes of missing migrant incidents, sized by total dead and missing. A temporal bar chart below shows the corresponding monthly counts over time. Brushing a time range in the histogram filters the map’s circles to only incidents within that period. The map uses `d3.geoNaturalEarth1` and `d3.geoPath` with TopoJSON world-atlas data, while the histogram uses `d3.bin`, `d3.scaleTime`, and `d3.brushX`, all rendered as SVG via React.

Zzyniax
95% match
Loading thumbnail…

Multiple Views With Brushing

This example shows a world map with bubbles representing missing migrants, sized by the total number of dead and missing, alongside a date histogram of the same data. Brushing the histogram filters the map to show only incidents within the selected time range. The visualization uses React with D3 v5, including `d3.geoNaturalEarth1`, `d3.geoPath`, `d3.brushX`, `d3.histogram`, `d3.scaleSqrt`, and `d3.scaleTime`. Data comes from the Missing Migrants Project CSV, loaded via `d3.csv`, and renders as SVG.

Rrstrauss127
94% match