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  3. Improving Your Data Visualizations in Python

Exercise

Beeswarms

Build a beeswarm plot using sns.swarmplot() that looks at the Ozone levels for all the cities in the pollution data for the month of March. To make the beeswarm a bit more legible, decrease the point size to avoid the overcrowding caused by the many points drawn on the screen. Last, since you've done some manipulation of the data to make this plot, provide a title to help the reader orient with what they are viewing.

Instructions

100 XP
  • Subset the pollution data to include just the observations in March.
  • Plot the O3 levels as the continuous value in the swarmplot().
  • Decrease the point size to 3 to avoid crowding of the points.
  • Title the plot 'March Ozone levels by city'.