Ordered point chart

Let's start by improving the point plot we saw in the slides.

First, change the data manipulation pipeline to filter to the years 1992 and 2002 instead of the default 2006-2016. Note that the array interestingCountries has been loaded and is the same as in the slides.

Now modify the plotting code to plot the new data, but this time, let's reorder the y-axis in descending order of cases for 1992.

Deze oefening maakt deel uit van de cursus

Visualization Best Practices in R

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Oefeninstructies

Modify filter() to pull the years 1992 and 2002.
Modify Aesthetics to:
- Plot the cases for 1992 by country.
- reorder() y-axis by the number of cases.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

who_subset <- who_disease %>% 
	filter(
		countryCode %in% interestingCountries,
		disease == 'measles',
		year %in% c(2006, 2016) # Modify years to 1992 and 2002
	) %>% 
	mutate(year = paste0('cases_', year)) %>%
	arrange(year, region) %>%
	pivot_wider(names_from = year, values_from = cases)
 
# Reorder y axis and change the cases year to 1992
ggplot(who_subset, aes(x = log10(cases_2006), y = country)) +
	geom_point()

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