A dataset demonstrating the utility of visualization. These 12 datasets are equal in standard measures: mean, standard deviation, and Pearson's correlation.
Format
A data frame with 2184 rows and 3 variables:
dataset: the dataset the data are from
x: x-values
y: y-values
References
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.research.autodesk.com/publications/same-stats-different-graphs/. #nolint
Examples
if (require(ggplot2)) {
ggplot(twelve_from_slant_long, aes(x = x, y = y, colour = dataset)) +
geom_point() +
theme_void() +
theme(legend.position = "none") +
facet_wrap(~dataset, ncol = 3)
}
# Base R Plots
state = par("mfrow", "mar")
par(mfrow = c(4, 3), mar = c(3, 2, 2, 2))
sets = sort(unique(twelve_from_slant_long$dataset))
for (s in sets) {
df = twelve_from_slant_long[twelve_from_slant_long$dataset == s, ]
plot(df$x, df$y, pch = 16, xlab = "", ylab = "")
title(s)
}
par(state)