It is more than that and it is what Data Scientists spend a significant amount of time doing. Real world data is extremely messy and a lot of time is often spent understanding what exactly the data is, changing it from wide to long, deciding how to deal with missing values etc.

This highly cited paper is a good introduction to the subject:

https://vita.had.co.nz/papers/tidy-data.pdf