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Algorithms are a fascinating use case for visualization. To visualize an algorithm, we don’t merely fit data to a chart; there is no primary dataset. Instead there are logical rules that describe behavior. This may be why algorithm visualizations are so unusual, as designers experiment with novel forms to better…
An interesting challenge in cartography is getting data of the appropriate resolution. As Lewis Fry Richardson observed , the more precisely you measure the length of a coastline, the longer it appears; geographic shapes have infinite complexity. Digital displays, in contrast, are limited by pixels. Choosing too high…
My previous Let’s Make a Map tutorial describes how to make a basic map with D3 and TopoJSON ; now it’s time to cover thematic mapping in the form of a proportional symbol map. The simplest symbol is a circle, or bubble , whose area is proportional to the associated data. In this tutorial, we’ll make a bubble map of…