Represent data out of scale in ggplot

[FJCC]

There is something similar at the following link. I do not know what ggplotly will do with that.

How to code this kind of extreme outliers presentation

Here is a start at doing that sort of thing with ggplot. library(ggplot2) DF <- data.frame(Source = c(rep(c("Case", "Control"),30), "Case", "Case", "Case"), Value = c(rnorm(60), 10, 35, 124)) ggplot(DF, aes(Source, Value)) + geom_boxplot() + coord_cartesian(ylim = c(-5, 5)) + geom_segment(aes(x = "Case", y = 4, xend = "Case", yend = 5), arrow = arrow(length = unit(0.05, "npc"))) + annotate(geom = "text", x = 1.2, y = 4, label = "10, 35, 124") [image] Created on 2022-02-21 by the reprex package (v2.0.1)