In this era of big data and sophisticated analytics those tortured souls whose job it is to explain and inform have a big problem: How to to make understandable and actionable what the data reveals.
Stefanie Posavec started exploring data visualisation while studying at St. Martins, inspired by another student’s work and an interest in “John Maeda and things that are algorithmic, where you create ...
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