Adjusting for population size is usually a good idea when studying a quantity that is affected by it. The most obvious example is to study GDP (Gross Domestic Product) per capita instead of GDP.
Code:
# --- Setting up the data --scandinaviaUSA <- global_economy %>%filter(Country %in%c("Norway","Sweden","Denmark", "United States"))scandinaviaUSA %>%head()# --- GDP by country in $US --scandinaviaUSA %>%autoplot(GDP)+labs(title="GDP", y ="$US")# --- Population by country --scandinaviaUSA %>%autoplot(Population)+labs(title="Population", y ="Number of people")# --- Population by country (log-scale on y-axis) --scandinaviaUSA %>%autoplot(Population)+scale_y_log10()+labs(title="Population (log-scale)",y ="Number of people")# --- GDP per capita by country ---scandinaviaUSA %>%autoplot(GDP/Population) +labs(title="GDP per capita = GDP / Population", y ="$US")