Sebastian Sauer shows us a few techniques for visualizing multivariate data, using ggplot2 in some cases and plotly in others:
Plotting univariate (sampled) normal data
Well, that’s obvious.d %>% ggplot(aes(x = X1)) + geom_density()
It gets much less obvious from there. It was also interesting learning about ggplotly, a function which translates ggplot2 visuals to plotly visuals.