Comparing populations

Putting these kinds of summarizing visualizations of different populations next to one another will be useful to create visuals that help us compare those populations. This can be done with histograms, boxplots, and bar charts. Let's see how this is done using the following three examples.

Example of comparing populations using boxplots

Write some code that creates the following two boxplots next to one another:

• A boxplot of education-num for data objects with an income value that is <=50K
• A boxplot of education-num for data objects with an income value that is >50K

Give the preceding example a try on your own before looking at the following code:

income_possibilities = adult_df.income.unique()
for poss in income_possibilities:
    BM = adult_df.income == poss
    plt.hist(adult_df[BM]['education-num'], label=poss,     histtype='step')
 ...