I’ve been reading Walter Isaacson’s new book, “The Innovators,” a story of the collaboration (and competition) behind the digital age. A theme of Isaacson’s writing is that technological innovation occurs at the intersection of science and the humanities. Steve Jobs was famous for this mindset, and it resulted in the aesthetic and functional Apple devices we all love.
We should remember, then, that “data science” has some art behind it, too. Data visualization is a powerful tool in exploring and communicating research. But it is by no means objective. The visualization’s author can tweak the takeaways — knowingly or unknowingly.
From Nautilus Magazine, here are a few examples of the same data visualized differently, to very different effects.