In this chapter, we have examined various techniques of tidying up data in
DataFrame. We've covered identifying missing data, replacing it with real data, or dropping it from the overall set of data. We also saw how to transform values into other values that may be better suited for further analysis.
However, the focus of this chapter was on working with individual values in
DataFrame, and made the assumption that the
DataFrame is shaped properly for further usage, and can be aligned with data from other
DataFrame objects. In the next chapter, we will examine how to combine and restructure data in one or more
Series) objects through concatenation, merges, joins, and pivoting.