Basic stacked bars

When we made the pie and waffle charts in the last exercises, we looked at all years in the data combined together.

Now, we're interested in looking at these patterns over time. To do this we will make a stacked bar chart with the x-axis being the year of observation. Like we did with the pie chart before, we will simplify the data to just be measles, mumps, and other.

Do you notice anything funky in the data after visualizing it this way?

Diese Übung ist Teil des Kurses

Visualization Best Practices in R

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Anleitung zur Übung

Modify the aes() call to include the year mapped to the x-axis.
Make bars fill the entire y-axis by adjusting position argument in geom_col().

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

disease_counts <- who_disease %>%
	mutate(disease = ifelse(disease %in% c('measles', 'mumps'), disease, 'other')) %>%
	group_by(disease, year) %>% # note the addition of year to the grouping.
	summarise(total_cases = sum(cases))

# add the mapping of year to the x axis. 
ggplot(disease_counts, aes(___, y = total_cases, fill = disease)) +
	# Change the position argument to make bars full height
	geom_col(___)

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