In this plot, we are looking into some ways of displaying association between (two) quantitative variables, aka correlation. Our goal is to present a rich representation of the correlation. Let’s take the dataset flights as an example. data(flights, package = "nycflights13") library(tidyverse) ## Warning: package 'dplyr' was built under R version 3.5.1 library(viridis) flights %>% filter(arr_delay < 100, dep_delay < 100) %>% ggplot(aes(x = dep_delay, y = arr_delay, color = origin)) + geom_point(alpha = …