dv2020-ep40-viz42 - missing migrants bubble map

dv2020-ep43-viz44 - missing migrants map & histogram (cleaned up)

This visualization combines a bubble map and histogram to explore the Missing Migrants Dataset. The map uses a natural Earth projection with D3’s `geoPath` and `geoNaturalEarth1` to plot incident locations as scaled circles, while the histogram aggregates reported deaths by month using `d3.bin` and `scaleTime`. Built with React and D3 v5, the SVG rendering overlays graticules, country borders, and shorelines from TopoJSON world-atlas data, with circles sized by a square-root scale. The histogram’s axes and bars are generated with `scaleLinear`, `scaleTime`, and `timeMonths`, presenting temporal patterns alongside geographic distribution.

91% match

dv2020-ep41-viz43 - missing migrants map & histogram

This visualization combines a bubble map and a histogram to explore the Missing Migrants Dataset. The map uses a Natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath` to plot incident locations, with circle radii scaled by the square root of the "Total Dead and Missing" count using `scaleSqrt`. A histogram below bins the same data by reported date, aggregating monthly totals with `d3.histogram` and `timeMonths`. Both charts are rendered as SVG within a React component, pulling geographic and CSV data from external URLs.

91% match

dv2020-ep44-viz45 - missing migrants brushing

A bubble map and histogram visualize the Missing Migrants Dataset, showing the geographic distribution and monthly counts of dead and missing migrants. The histogram uses a brushing interaction via `d3.brushX` to filter the map’s bubbles by date range. The map is rendered with `d3.geoPath` and a natural Earth projection, while data is loaded through `d3.csv` and world map topology via `d3.json` with TopoJSON. The React-based interface uses D3 scales and SVG elements for rendering.

90% match

dv.45 - missing migrants - part VII - make it fast!

This interactive visualization maps global migrant deaths and disappearances, with bubble size representing the total dead and missing per location. A linked time-series bar chart below displays monthly totals and incident counts, with a brushed time range filtering the map’s data. Built with React and D3, it uses `d3-geo` projections via `geoNaturalEarth1` and `geoPath`, `d3-scale`’s `scaleSqrt`, and `d3-brush` for the histogram selection. Data comes from the Missing Migrants Dataset.

Dataviz 2020_Ep40 - 32. Missing Migrants3 - Sized Circles on a Map

A world map displays circles sized by the number of total dead and missing migrants, with data from a CSV of global migrant incidents. The visualization uses a natural Earth projection rendered as SVG via React, with D3’s `geoPath` and `geoGraticule` for map outlines. Circle radii are scaled using a square-root scale (`scaleSqrt`) based on the maximum value, and the map layers include land, interiors, and sphere boundaries.

MMinwoo Pak

Ep. 40 - Missing Migrants on a Map

This visualization displays the global distribution of missing migrants, with circles sized according to the square-root-scaled count of total dead and missing individuals. A world map serves as the backdrop, rendered using D3’s `geoNaturalEarth1` projection, `geoPath`, and `geoGraticule` to draw landmasses and graticules. The interactive React application loads geographic data via `topojson` and migrant data from a CSV file (Data Canvas Sense Your City Dataset), plotting each incident as a semi-transparent circle positioned by its location coordinates.

YYee Han

dv.40 - missing migrants - part III - world map

This world map visualizes the Missing Migrants Dataset, with circles sized by the total number of dead and missing individuals at each location. Using React for rendering and d3-geo-projection’s `geoNaturalEarth1` projection with `d3.geoPath`, the map layers country boundaries, graticules, and geographic lines. Circle radii scale via `d3.scaleSqrt`. The data comes from a CSV, while world atlas and line geometries are loaded from TopoJSON.