11.63 Transparent Plots

REVIEW

cities <- c("Canberra", "Darwin", "Melbourne", "Sydney")

ds                                                                    %>%
  filter(location %in% cities)                                        %>%
  ggplot(aes(temp_3pm, colour = location, fill = location))            +
  geom_density(alpha = 0.55)

---

Your donation will support ongoing availability and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0