Locations of Datavis 2020 Students First Pass
This visualization maps the approximate physical locations of students who joined Datavis 2020 during its first few days, with each location geocoded from student introductions in Slack. The map displays green circles over a natural Earth projection, using React and d3-geo’s `geoNaturalEarth1`, `geoPath`, and `geoGraticule` to render landmasses, graticules, and sphere outlines from TopoJSON world-atlas data. The SVG rendering includes country interiors as mesh lines, while the city coordinates come from a hardcoded CSV parsed with `csvParse`.
AI-generated descriptionThis map shows approximate locations of the students who joined Datavis 2020 in its first few days.
The list of locations was compiled by manually going through the places mentioned by students in their introductions in our Slack channel #datavis-2020 in the D3 Slack Group. These are the locations where the students are actually located physically.
Each location mentioned was geocoded using Google (example Kansas City longitude and latitude and entered into the code here in useCities.js.
The locations mentioned range from countries to states to particular cities. For regions like countries or states, the point represents its centroid. Locations are by no means exact, but the point of this viz is to give a sense of the global distribution of students.