Visualization is a fundamental aspect of data science, allowing data scientists to better and more effectively communicate their findings to the organization they operate in, to both data experts and non-experts. Providing the nuts and bolts of the principles behind communicating information and crafting engagingly beautiful visualizations is beyond the scope of our book, but we can recommend resources.
For basic visualization rules, you can visit http://lifehacker.com/5909501/how-to-choose-the-best-chart-for-your-data. We also recommend the books of Prof. Edward Tufte on analytic design and visualization.
We can instead provide a fast and to-the-point series of essential recipes that can get you started on visualization using Python and which you can refer to whenever you need to create a specific graphic chart. Consider all the snippets of code as your visualization building blocks; you can arrange them with different configurations and features just...