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Clojure for Data Science by Henry Garner

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Visualization for communication

In the course of our work as data scientists, we may find ourselves needing to communicate with a wide variety of people. Our close colleagues and managers may be able to read and interpret our Incanter charts, but they're unlikely to impress the CEO. We may also have a role that requires us to communicate with the general public.

In either case, we should focus on making visualizations that are simple and powerful, but which don't sacrifice the integrity of the data. A lack of statistical training is no barrier to being able to understand subtle and nuanced arguments and we should respect our audience's intelligence. The challenge for us as data scientists is to find a representation that conveys the message effectively ...

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