In this chapter, we have examined various techniques of tidying data. We covered identifying missing data, replacing it with other values, or dropping it from the overall set of data. We then covered how to transform values into other values that may be better suited for further analysis.
Now that we have tidied up our data within DataFrame or series, we want to move from focusing on the cleanliness of the data to more elaborate forms of modifying the structure of the data, such as concatenation, merges, joins, and pivoting data. This will be the focus of the next chapter.