As the old saying goes, A picture is worth a thousand words, so let's get a quick feel for our data by plotting it. It's a great opportunity to introduce one of the best Julia data visualization packages—Plots. Unlike Gadfly, which we've previously used, Plots takes a different approach—it's an interface over many different plotting libraries. Basically, it's like middleware, providing a common, unifying API for other plotting packages (called backends). In Julia, different plotting packages have different features and strengths—and depending on the user's specific needs, they may be forced to learn yet another library, change the code, and so on, in order to interchangeably use different plotting ...
A quick look at our data with Plots and PyPlot
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