Data is the currency of the 21st century. Presenting it in a meaningful way is the key to understanding it.
Leveraging the power of WebGL allows the creation of impactful visualisations, due to the complexity of data it can handle and the high quality of the visuals.
Classic 2D visualisations such as timelines, charts, histograms, scatterplots… can all be translated to 3D, in order to make them more meaningful or simply make them look more interesting.
Spatial data is 3D by nature. Visualising it in 3D is the most natural way to view it and instinctively understand it.
Complex 2D Visualisations
WebGL’s high performance enables the creation of complex 2D visualisations containing large amounts of data, such as in Google Maps’ terrain view. Here is another example of a 2D map, visualising aggregated data from Uber users by Uber’s dedicated team data visualisation team, the Uber Visualization team.