7. Visualization Strategies for Exploring Large Datasets
There is no such thing as information overload.There is only bad design.
—Edward Tufte
According to Bit.ly’s Hillary Mason, data scientists generally do “three fundamentally different things: math, code... and communicate.”1 Although some of the technologies available in the data toolbox primarily focus on engineering whereas other technologies focus on mathematical analysis, the visual representation of information requires a combination of both of these skills along with an extra helping of communication skill. One could say that a goal of data visualization is to communicate abstract concepts that emerge from the world of math and metrics using the more human language of spatial representation. ...
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