10.1. Exercises

Fruit Bowl Statistics

Bringing back our fruit_salad dataframe

           name    colour    location    seed   shape  sweetness   water-content  weight
0         apple       red     canada    True   round     True          84         100
1        banana    yellow     mexico   False    long     True          75         120
2    cantaloupe    orange      spain    True   round     True          90        1360
3  dragon-fruit   magenta      china    True   round    False          96         600
4    elderberry    purple    austria   False   round     True          80           5
5           fig    purple     turkey   False    oval    False          78          40
6         guava     green     mexico    True    oval     True          83         450
7   huckleberry      blue     canada    True   round     True          73           5
8          kiwi     brown      china    True   round     True          80          76
9         lemon    yellow     mexico   False    oval    False          83          65

Using df.describe()

Instructions:
Running a coding exercise for the first time, could take a bit of time for everything to load. Be patient, it could take a few minutes.

When you see ____ in a coding exercise, replace it with what you assume to be the correct code. Run it and see if you obtain the desired output. Submit your code to validate if you were correct.

Try to obtain some statistics from the hockey data.

Tasks:

• Find the statistics of both categorical and quantitative columns. Save the dataframe in an object called hockey_stats.
• Display it.

Hint 1

• Are you sure you are saving your objects correctly?
• Are you using using .describe(include="all") ?

Fully worked solution:

Tasks:

• Find the total salary of the team and save it in an object called player_cost.

Hint 1

• Are you using df[["column-name"]].sum() to find the total of a column?

Fully worked solution: