Tweaking WenLei Cao's MA Safety Map

EdX Viewership Map, 2013

This map visualizes the geographic distribution of video views in the Harvardx/MITx online courses for the academic year 2013. Circles sized by view count appear at viewer locations across a Mercator-projected world map, with hover tooltips showing latitude, longitude, and country. The visualization uses React for rendering, d3.geoMercator and d3.geoPath for map projection, and d3.scaleSqrt for circle sizing. Data comes from a CSV of course-person records, while the map boundaries use TopoJSON from the World Atlas.

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79% match

The version I will mess up

A world map displays the geographic distribution of MITx course views, with circles scaled by view count. A dropdown menu filters the data by course, including options for individual subjects or all courses combined. The visualization uses React with D3 v5, employing `geoNaturalEarth1` and `geoPath` for map rendering, and `scaleSqrt` for circle sizing. Data comes from a CSV file of course viewer locations, merged with World Atlas TopoJSON for country boundaries. Tooltips show country names and view counts on hover.

79% match

EdX Viewership Map, 2013

A world map displays the geographic distribution of video views in HarvardX and MITx online courses for 2013. Each circle’s radius encodes the total number of views at its location, with a tooltip revealing the exact country and view count on hover. The visualization uses a Mercator projection through `d3.geoPath` and `d3.geoMercator`, rendering land and graticules from the world-atlas TopoJSON. Data points, loaded via `d3.csv` from a GitHub Gist, use `d3.scaleSqrt` to map view counts to radius, all drawn as SVG marks within a React component.

78% match

From Chen Ding: Aggregation by Country using Excel + Dropdowns!

This example visualizes the number of video views for HarvardX/MITx online courses in the 2013 academic year. Circles, sized by total views, are positioned on a world map according to viewer location, with a dropdown menu to filter by specific course. A tooltip reveals the country and view count for each circle. The visualization uses a Mercator projection via `geoMercator`, renders map features with `geoPath`, and calculates the circle sizing using `scaleSqrt` from D3 v5. The map data comes from the World Atlas TopoJSON, while view data is loaded from a CSV file.

78% match

Aggregation by Country using Map

This example visualizes the geographic distribution of video views for Harvardx and MITx online courses in 2013. Circles positioned using a Mercator projection show total views per location, with a tooltip revealing the country name and view count. The visualization combines React for component rendering with D3’s `geoMercator`, `geoPath`, and `scaleSqrt` for sizing. It overlays aggregated view data from a CSV dataset onto land and graticule shapes generated from TopoJSON world atlas data.

Aggregation by Country + Dropdown

This visualization displays the number of video views for HarvardX/MITx online courses in 2013, with circles sized by view count on a world map. A dropdown menu filters the displayed data by course. The map uses a Mercator projection via `geoMercator` and `geoPath`, with geographic features from the World Atlas TopoJSON. View data comes from a CSV file loaded with `d3.csv`. The visualization is built with React components and D3 scales (`scaleSqrt`) for circle sizing.

EdX Viewership 2013: Aggregating in App! back to normal, 10:23

A Mercator map of the world shows the geographic distribution of video views in the HarvardX/MITx online courses for 2013. Circles sized with `d3.scaleSqrt` mark the number of video plays at each recorded latitude and longitude, with hover tooltips revealing the specific country and view count. The visualization uses `d3.geoPath` to render land and graticules from World Atlas TopoJSON, while React manages the component state. The dataset is loaded from a CSV file via `d3.csv`, with each point’s radius proportional to its view total.

From Chen Ding: Aggregation by Country using Excel + Dropdowns!

This example visualizes the number of video views for Harvardx/MITx online courses in 2013, with circles sized proportionally to view counts and positioned by geographic coordinates on a world map. A dropdown menu filters the view by specific course, and hovering over a circle reveals the country and total views. The map uses a Mercator projection via D3’s `geoMercator` and `geoPath` for landmasses and graticules, while `scaleSqrt` determines circle sizes. Data is loaded as CSV and TopoJSON, with the view rendered as React-driven SVG elements.

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