I just discovered the newish ggplotly function that makes ggplot2 graphs into interactive plotly visualizations. This is great. But I also ran into an odd effect, possibly a
or maybe this?
ggplot(data = mtcars, aes(x = log10(wt), y=mpg, colour = factor(cyl))) + geom_point() + scale_x_continuous("wt, log10-scaling") ggplotly()