Fork of Locations of Datavis 2020 Students First Pass
This visualization maps the approximate locations of Datavis 2020 students, based on manually geocoded places mentioned in Slack introductions. It shows a world map with green circular markers at each student’s location, ranging from specific cities like Chicago to broader regions like Brazil. The map uses React with D3 v5 APIs including `geoNaturalEarth1` and `geoPath` for projection and rendering, drawing graticules, land masses, and interior borders as SVG paths. Data is loaded from a hardcoded CSV using `csvParse`, while geographic boundaries come from the world-atlas TopoJSON dataset.
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.