Multiple Views Brushing

100%

Multiple Views Brushing

✓ Published0🌍 Public

Last edited Mar 7, 2023

Created on Mar 7, 2023

A choropleth-style bubble map displays total dead and missing migrants by location, overlaid on a natural Earth projection rendered with `d3.geoPath`. A linked brushing time-series histogram below, built with `d3.brushX`, filters the map’s circles by reported date when the user drags a selection window. The map uses a `d3.scaleSqrt` for circle radii, while the histogram aggregates data into monthly bins via `d3.histogram`. Both views are React components sharing the same SVG canvas, with data loaded from a CSV of migrant incidents and world atlas TopoJSON.

AI-generated description

A program that loads in some data about CSS named colors using D3 utilities, and uses React to render the data as a radial burst!

MIT Licensed

Similar vizzes

Loading thumbnail…

Multiple Views with Brushing

This example combines a geographic bubble map with a time-series histogram, linked through interactive brushing. The map displays the total number of dead and missing migrants by location, with circle sizes scaled using d3.scaleSqrt, while the histogram aggregates the same data by month using d3.bin and d3.timeMonths. Dragging a brush across the histogram filters the map’s circles to show only incidents within the selected date range, implemented with d3.brushX and React state. Both views use SVG rendering via d3.geoNaturalEarth1 and d3.geoPath for the map, with data sourced from the Missing Migrants Project CSV.

BBen Seebeck

93% match

Loading thumbnail…

Multiple views with brushing

A choropleth-style bubble map displays global migrant deaths and disappearances, with a coordinated histogram showing the same data over time. Brushing a time range on the histogram filters the map’s circles in real time, highlighting temporal patterns. The visualization uses React for component structure, D3 v5 APIs including `geoNaturalEarth1`, `geoPath`, `scaleSqrt`, `brushX`, and `bin`, rendering SVG marks. Data comes from the Missing Migrants Project, with country boundaries sourced from World Atlas TopoJSON.

Ccshm407

93% match

Loading thumbnail…

Multiple Views with Brushing

This example presents a world map with bubbles representing the total number of dead and missing migrants, sourced from a CSV dataset. A time-series histogram below the map aggregates the same data by month. Brushing along the histogram’s x-axis with `d3.brushX` filters the map’s circles in real-time. The map uses `d3.geoNaturalEarth1` and `d3.geoPath` for geographic shapes, while React manages the SVG rendering. A sqrt scale determines bubble sizes, and country boundaries come from a TopoJSON world atlas.

Mmtabaka

93% match

Loading thumbnail…

Multiple Views with Brushing

A choropleth-style bubble map and time-series histogram display global migrant deaths and disappearances, with brushing on the histogram filtering circles on the map in real time. The map uses a natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath` to render country boundaries, graticules, and proportional circle sizes scaled by the square root of the death count. The histogram bins monthly totals using `d3.bin` and applies a brush with `d3.brushX` to link the two views. Data comes from the Missing Migrants Project CSV, with React managing state and D3 v5 rendering SVG elements.

HHollyClarke19

93% match

Loading thumbnail…

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

93% match

Loading thumbnail…

Multiple Views with Brushing

Two coordinated views show migrant deaths and disappearances worldwide. A bubble map projects incidents using `d3.geoNaturalEarth1` and `geoPath`, with circle radii scaled by `scaleSqrt`. A time histogram beneath aggregates monthly totals using `d3.bin` and `sum`. Interactive `brushX` brushing filters map circles by date range, linking the views. Data comes from the Missing Migrants Project CSV, rendered as SVG in React with D3 v5.

Jj-PGi

93% match

Loading thumbnail…

Multiple Views with Brushing

This example shows a world map with bubble markers indicating the total number of dead and missing migrants, alongside a time-series histogram of the same data. Brushing a date range in the histogram filters the bubbles shown on the map. The visualization uses React state to manage the brush selection, D3’s `geoNaturalEarth1` projection and `geoPath` for the map, `scaleSqrt` for bubble sizing, and `brushX` for interactive filtering. Data comes from a CSV of migrant incidents loaded via `d3.csv`.

NNikita Toropov

93% 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

92% match