Plotting log-scaled histograms in in plotly in R; display original values in tooltip box-CodePudding

I am generating histograms using the plotly package in R to interactively inspect the distribution. In some cases, I have to apply a logarithmic function to make the plot easier to interpret. However, and as you would expect, when using plotly, the log-scaled value is presented in the tooltip box. What I would like to achieve is for the original values to be placed in the tooltip box instead of the log scale values.

Here is some example data and code:-

library(tidyverse)
library(plotly)

df <- data.frame(
  sex=factor(rep(c("F", "M"), each=200)),
  weight=round(c(rnorm(200, mean=55, sd=5),
                 rnorm(200, mean=65, sd=5)))
)


p <- ggplot(df, aes(x=weight))   
  geom_histogram() 
  scale_x_log10()


ggplotly(p)

Which gives you this outcome:-

Can someone point me in the right direction? Thanks!

CodePudding user response：

You can paste your weight in ggplot(aes(text = )), and only include text and y in ggplotly(tooltip = c("y", "text")).

p <- ggplot(df, aes(x = weight, text = paste("Weight:", weight)))   
  geom_histogram()  
  scale_x_log10()

ggplotly(p, tooltip = c("y", "text"))