Skip to main content
SimilarExport ZIP
100%

Locations of Datavis 2020 Students By Date

✓ Published0🌍 Public
MmayowaOyetola
Last edited Jan 10, 2020
Created on Jan 10, 2020

This map shows the global distribution of students who joined Datavis 2020 during its first week, with each point colored by the date they joined. A color legend on the left displays the date scale, while circles on a natural Earth projection mark student locations based on manually geocoded coordinates from introductions in the D3 Slack group. The visualization uses React for components, d3.geoNaturalEarth1 and d3.geoPath for map projections, d3.scaleSequential with interpolateViridis to encode dates, and loads world atlas data via topojson.

AI-generated description

This 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.

This version includes newer data, and colors students by the week that they joined. The first week ended on Jan. 3, 2010.

MIT Licensed

Similar vizzes

Loading thumbnail…

Locations of Datavis 2020 Students By Date

This map shows the global distribution of students who joined Datavis 2020 in its first days, with each point colored by the date they joined via a viridis sequential color scale. Rendered using React with SVG, the visualization uses the `geoNaturalEarth1` projection and `geoPath` API from d3.v5 to draw a world map with graticules, while the `topojson` library supplies land and interior boundaries. Student locations, manually geocoded and stored as CSV data, appear as colored circles, with a legend showing the date range.

CCurran Kelleher
97% match
Loading thumbnail…

Locations of Datavis 2020 Students By Date

This visualization maps the global distribution of Datavis 2020 students, coloring each point by the week they joined. The map uses a natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath`, with world atlas data from TopoJSON. Student locations are geocoded coordinates rendered as circles on an SVG, with a sequential viridis color scale showing join dates. The React component structure and D3 utilities like `scaleSequential` and `timeFormat` drive the legend and date encoding.

MmayowaOyetola
97% match
Loading thumbnail…

Locations of Datavis 2020 Students By Date

A world map plots the approximate locations of students who joined Datavis 2020, with each point colored by the week they joined. The visualization uses a natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath` to render land masses, graticules, and country borders from TopoJSON data. Student locations, manually geocoded from Slack introductions, appear as circles sized and colored by a sequential Viridis scale based on join date. A color legend with date ticks helps interpret the temporal distribution.

GGoBeyonde
96% match
Loading thumbnail…

Locations of Datavis 2020 Students By Date

This map shows the global locations of Datavis 2020 students who introduced themselves during the first week, with each dot colored by the date they joined. The visualization uses a natural Earth projection, rendered as SVG via React with D3 v5, and leverages `d3.geoPath` and `d3.geoGraticule` to draw the landmasses and graticules. Student locations are geocoded from Slack introductions and plotted as colored circles, with a sequential viridis color scale and a legend indicating the join date.

MmayowaOyetola
96% match
Loading thumbnail…

Locations of Datavis 2020 Students By Date

This visualization displays the geographic locations of Datavis 2020 students, colored by the week they joined the course, using a natural Earth projection. The map is rendered with SVG paths for the sphere, graticules, landmasses, and interiors, while student locations are drawn as circles whose colors encode their join date via a viridis sequential color scale. The project leverages `d3.geoPath`, `d3.geoNaturalEarth1`, and `d3.geoGraticule` for map generation, and a `ColorLegend` component shows the date range. Data is sourced from a hardcoded CSV of manually geocoded student locations, parsed with `d3.csvParse` and `d3.timeParse`.

MmayowaOyetola
94% match
Loading thumbnail…

Locations of Datavis 2020 Students By Date

This visualization displays the geographic locations of Datavis 2020 students, colored by the week they joined the course, using a natural Earth projection. The map is rendered with SVG paths for the sphere, graticules, landmasses, and interiors, while student locations are drawn as circles whose colors encode their join date via a viridis sequential color scale. The project leverages `d3.geoPath`, `d3.geoNaturalEarth1`, and `d3.geoGraticule` for map generation, and a `ColorLegend` component shows the date range. Data is sourced from a hardcoded CSV of manually geocoded student locations, parsed with `d3.csvParse` and `d3.timeParse`.

MmayowaOyetola
94% match
Loading thumbnail…

Locations of Datavis 2020 Students First Pass

This map shows the global distribution of students who joined Datavis 2020 during its first few days, with each location represented by a green circle. The data was manually compiled from student introductions in the Slack channel and geocoded using Google. The visualization uses React with D3’s `geoNaturalEarth1` projection and `geoPath` to render SVG landmasses, graticules, and sphere. Circles are positioned by projecting latitude and longitude coordinates, with country and state locations approximated at their centroids.

Jjakers19
93% match
Loading thumbnail…

Locations of Datavis 2020 Students

This visualization displays the global distribution of students who joined Datavis 2020, with each point representing the approximate physical location of a participant. Colored circles distinguish between students who joined in the first versus second week of the course, allowing viewers to see the program’s early geographic reach. The code uses React with D3 v5’s `geoNaturalEarth1` projection and `geoPath` to render the world map, while the `topojson` library processes the atlas data. Location data was manually compiled from student introductions and geocoded into latitude/longitude coordinates.

ZZaynaib (Ola) Giwa
92% match