Excellent! There are also two other statistics in the describe() function output that you can compute independently. The first one is the standard deviation – std():

players['aces'].std()

The standard deviation is an important statistical measure that quantifies the amount of dispersion in the data (the bigger the standard deviation, the bigger the "spread" of the data). The second function is count(), which returns the number of non-empty values in a given column:

players['aces'].count()

As you can see, most statistical functions follow the same pattern.