I am following Chapter 1 of Wickham and Grolemund\'s \"R for data science\" on visualization.
I have tried:
ggplot(data = mpg) + geom_point(mapping
This issue and more specifically the difference in the output from the two mentioned commands are explicitly dealt with in Section 5.4.2 of the 2nd edition of "ggplot2. Elegant graphics for data analysis", by Hadley Wickham himself:
Either:
aes
) a variable of your data to an aesthetic, e.g., aes(..., color = VarX)
, or ...aes
, but inside a geom
element) an aesthetic to a constant value e.g. "blue"In the first case, of mapping an aesthetic, such as color
, ggplot2 chooses a color based on a kind of uniform average of all available colors (at the colorwheel), because the values of the mapped variable are all constant; why should the chosen color coincide with the constant value you happend to choose to map from? More explicitly, if you try the command:
ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y =hwy, color = "foo"))
you get exactly the same output plot as in the first command of the original question.