One of the nicest things about working in a browser-based environment like Sense is that you can use rich, interactive web-based visualizations. The possibilities are endless; if a vizualization works in a browser, then you can write a function analogous to matplotlib's plot that creates that visualization from your Python data in your Python session.

For much more inspiration, check out http://d3js.org!

Of course, some of those possibilities are easier to realize than others. This project will introduce you to four packages that bring web-based visualizations to your Python session in an especially Pythonic way: bokeh, python-nvd3, vincent and the mapping package folium. We'll demo each package using a live dataset from Wikipedia, and you can get started experimenting with rich visualizations right away.