Exercise

Lots of bootstraps with beeswarms

As a current resident of Cincinnati, you're curious to see how the average NO₂ values compare to Des Moines, Indianapolis, and Houston: a few other cities you've lived in.

To look at this, you decide to use bootstrap estimation to look at the mean NO₂ values for each city. Because the comparisons are of primary interest, you will use a swarm plot to compare the estimates.

The DataFrame pollution_may is provided along with the bootstrap() function seen in the slides for performing your bootstrap resampling.

Instructions

100 XP

Run bootstrap resampling on each city_NO2 vector.
Add city name as a column in the bootstrap DataFrame, cur_boot.
Color all swarm plot points 'coral' to avoid the color-size problem.

Take Hint (-30 XP)