Cleaning up the bars

The changes we made to the last plot are great and improved it immensely, but we can go further!

We seem to have a few countries that have zero counts for the cases. Let's get rid of these to free up even more space for the country names to breath.

In addition, let's get rid of the unnecessary horizontal lines that are cluttering up the background.

The data frame amr_pertussis that we made in the last exercise is already loaded for you.

Deze oefening maakt deel uit van de cursus

Visualization Best Practices in R

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Oefeninstructies

Add a filter() to amr_pertussis so we only have countries that had more than zero cases.
Using the theme() function, remove the horizontal grid lines panel.grid.major.y from the background.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

amr_pertussis %>% 
	# filter to countries that had > 0 cases. 
	___ %>%
	ggplot(aes(x = reorder(country, cases), y = cases)) +
	geom_col() +
	coord_flip() +
	theme(
	# get rid of the 'major' y grid lines
	___
	)

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