box_plots {datasauRus} | R Documentation |
This dataset is the box plot data produced by Matjeka & Fitzmaurice to demonstrate applicability of their process.
box_plots
A data frame with 2484 rows and 5 variables:
left: data pulled to the left
lines: data with arbitrary spikes along a range
normal: normally distributed data
right: data pulled to the right
split: split data
Matejka, J., & Fitzmaurice, G. (2017). Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing. CHI 2017 Conference proceedings: ACM SIGCHI Conference on Human Factors in Computing Systems. Retrieved from https://www.autodesk.com/research/publications/same-stats-different-graphs. #nolint
summary(box_plots)
## base plot
#save current settings
state = par("mar", "mfrow")
par(mfrow = c(5, 2), mar = c(1, 2, 2, 1))
nms = names(box_plots)
for (i in 1:5) {
nm = nms[i]
hist(box_plots[[nms[i]]],
breaks = 100,
main = nm)
boxplot(box_plots[[nms[i]]],
horizontal = TRUE)
}
#reset settings
par(state)
## ggplot
if (require(ggplot2)) {
ggplot(box_plots, aes(x = left)) +
geom_density()
ggplot(box_plots, aes(x = lines)) +
geom_density()
ggplot(box_plots, aes(x = normal)) +
geom_density()
ggplot(box_plots, aes(x = right)) +
geom_density()
ggplot(box_plots, aes(x = split)) +
geom_density()
}