It's common to log transform a dependent or independent variable to help with skewness. Log transformations can be helpful when the goal is to predict a continuous, but skewed response variable. My question concerns how to communicate this to a less stat-savvy person? I want to show a boxplot of highly right-shewed, but strictly positive variable. This variable is a time to event measured in days with median of 1 day and maximum of 500 to give some context. The goal is show the distribution with no intentions of inference or any other statistical methodology. I'm wondering if I should log transform the variable, but show the axis label in the original units. Or keep the variable untransformed, but on a log axis? Or should I log the variable and the axis? What is common practice if visualization/interpretation is the goal?