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library(ggplot2) # Built-in dataset data(mpg) # fuel economy data for 234 cars # Minimal plot: just axes, no geom yet ggplot(mpg, aes(x = displ, y = hwy)) # Scatter plot ggplot(mpg, aes(x = displ, y = hwy)) + geom_point() # Map colour to a categorical variable (inside aes) ggplot(mpg, aes(x = displ, y = hwy, colour = class)) + geom_point() # Fixed colour constant (outside aes) ggplot(mpg, aes(x = displ, y = hwy)) + geom_point(colour = "steelblue", size = 2, alpha = 0.7) # Add a smooth trend line ggplot(mpg, aes(x = displ, y = hwy)) + geom_point(alpha = 0.4) + geom_smooth(method = "lm", se = TRUE) # Map multiple aesthetics ggplot(mpg, aes(x = displ, y = hwy, colour = class, size = cyl)) + geom_point(alpha = 0.6) # Labels and title ggplot(mpg, aes(x = displ, y = hwy, colour = drv)) + geom_point() + labs( title = "Engine Displacement vs Highway MPG", subtitle = "By drive type", x = "Displacement (litres)", y = "Highway MPG", colour = "Drive type" )
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