Visualising missingness patterns

Let's practice a few different ways to vizualise patterns of missingness using:

What do you notice with the missingness and the facetting in the data?

Explore missingness pattern of the airquality dataset with gg_miss_upset().
Explore how the missingness changes in the riskfactors dataset across the marital variable using gg_miss_fct()
Explore how the missingness changes in the pedestrian dataset across the hourly_counts variable over a span of 3000 (you can also try different spans from 2000-5000).
Explore the impact of month on hourly_counts by including it in the facet argument, with a span of 1000.