Faceting to show structure.

Taking the code from the last exercise, let's modify it to group the countries by their region by faceting.

This will help inject a bit more structure into the presentation while not overly complicating the chart.

We want to use facet_grid() here and keep all the plots in the same column, enabling easy comparisons outside of a region while still maintaining the region-level grouping.

You will also need to adjust the scale argument in facet_grid() in order to avoid repeating the entire y-axis structure for every facet.

This exercise is part of the course

Visualization Best Practices in R

View Course

Exercise instructions

Add facet_grid() to the code from the last plot and set its faceting variable to region~..
Set y-axis to be free by setting scale to 'free_y'.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

who_subset %>% 
	mutate(logFoldChange = log2(cases_2002/cases_1992)) %>% 
	ggplot(aes(x = logFoldChange, y = reorder(country, logFoldChange))) +
	geom_point() +
	geom_vline(xintercept = 0) +
	xlim(-6,6) +
	# add facet_grid arranged in the column direction by region and free_y scales
	___

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