Every data scientist bears the burden of clearly and convincingly communicating results to a client or decision maker. Putting analytic results in
front of a client starts a dialogue that not only prepares them to understand and see the results, but may also uncover bugs in your logic, gaps in the data, or even misunderstandings about the problem or business goal.
Data visualization is an essential way to explain results in an intuitive way. But what if there was an even better alternative?