Visualizing the data using Matplotlib

Knowing how to load data is of limited use if we don't know how to look at the data. Thankfully, there is Matplotlib!

Matplotlib is a multiplatform data visualization library built on NumPy arrays--see, I promised you NumPy would show up again. It was conceived by John Hunter in 2002, originally designed as a patch to IPython to enable interactive MATLAB-style plotting from the command line. In more recent years, newer and shinier tools have popped up to eventually replace Matplotlib (such as ggplot and ggvis in the R language), but Matplotlib remains essential as a well-tested, cross-platform graphics engine.