Bringing It All Together

Welcome to the capstone chapter, where we'll walk through some examples to show you how the skills learned you've throughout this book can be applied. In this chapter, we will learn about open source real-world datasets, some tips on how to report results, and a capstone project that blends, transforms, and visualizes data from multiple sources. Data analysis is a craft and a journey rewarded by the fact that you never stop learning new ways to work with data, provide insights, and answer questions. The data literacy skills of reading, working with, analyzing, and arguing with data is agnostic to any technology, but in my experience, nothing replaces the experience of using a specific technology head down and hands-on. Our tool of choice in this book was Jupyter Notebook, along with the extendable libraries available when using the Python ecosystem, such as pandas, NumPy, and NTLK. As you continue...