Exercises

1. Use adult.csv and Boolean masking to answer the following questions:

   a. Calculate the mean and median of education-num for every race in the data.

   b. Draw one histogram of education-num that includes the data for each race in the data.

   c. Draw a comparative boxplot that compares the education-num for each race.

   d. Create a subplot that puts the visual from b) on top of the one from c).

2. Repeat the analysis on 1, a), but this time use the groupby function.

   a. Compare the runtime of using Boolean masking versus groupby (hint: you can import the module time and use the .time() function).

3. If you have not already done so, solve Exercise 4 in the previous chapter. After you have created pvt_df for Exercise 4, run the following code:

   import seaborn as sns
   sns.pairplot(pvt_df)

   The code outputs what is known as a scatter matrix. This code takes advantage of the Seaborn module, which is another very useful visualization module. To practice subplots and resizing, recreate what...