Summary
This chapter covered the fundamental techniques of data transformation and how to apply them. Through a series of examples and exercises dealing with messy and missing data, you explored several possible types of issues, along with various strategies by which to correct them. You learned about grouping, aggregation, and pivot table methods, which are essential in order to summarize data, and you applied this knowledge to an activity with the goal of deriving insights from raw data.
In the next chapter, you will learn how to visualize data using pandas and matplotlib.
