For this chapter, we'll use the dataset on WWII battles we collected earlier in Chapter 7, Scraping Data from the Web with Beautiful Soup 4. As you may remember, the dataset includes dates, results, sides, leaders, and the number of troops and casualties of those battles. But what questions can we answer with this information? Let's start with something simple: which battles took the most casualties on both sides? Where were most of the tanks destroyed? How was the number of casualties distributed over time and geography?
In the previous chapter, we cleaned and processed most of the data; however, given the sensitivity of the subject, we went ahead and cross-checked main values row-by-row, manually, and, indeed, had to correct a few values. This work cannot be completely automated. In this and further chapters, we'll work with the corrected...
