I am working with the library gapminder and I have generated the following graph to show the relationship between life expentancy, continent and gdp
library(gapminder)
library(dplyr)
library(ggplot2)
df <-gapminder
ggplot(db1 %>% filter(year==2007), aes(x=pop, y=gdpPercap, color=continent))
geom_point() scale_size(df$lifeExp)
However, the resulting dots are all the same size and I don't know why. Can someone help me?
CodePudding user response:
You need to add the size aesthetic before you can manipulate it using scale_size()
, e.g.
library(gapminder)
library(dplyr)
library(ggplot2)
gapminder %>%
filter(year == 2007) %>%
ggplot(aes(x = pop, y = gdpPercap, color = continent, size = lifeExp))
geom_point()
scale_size(name = "Life Expectancy (years)")
You can't really see the different size dots, but it's clearer if you log transform the x axis:
gapminder %>%
filter(year == 2007) %>%
ggplot(aes(x = pop, y = gdpPercap, color = continent, size = lifeExp))
geom_point()
scale_size(name = "Life Expectancy (years)")
scale_x_log10()
Created on 2022-11-10 by the reprex package (v2.0.1)
Does that answer your question, or have I misunderstood something?