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A dataset demonstrating the utility of visualization. These 12 datasets are equal in standard measures: mean, standard deviation, and Pearson's correlation.

Usage

datasaurus_dozen

Format

A data frame with 1846 rows and 3 variables:

  • dataset: indicates which 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.autodeskresearch.com/publications/samestats.

Examples

if(require(ggplot2)){
  ggplot(datasaurus_dozen, 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("mar", "mfrow")

# plot
par(mfrow = c(5, 3), mar=c(1, 2, 2, 1))

sets = sort(unique(datasaurus_dozen$dataset))

for (s in sets) {
  df <- datasaurus_dozen[datasaurus_dozen$dataset == s, ]
  plot(df$x, df$y, pch = 16)
  title(s)
}

#reset settings
par(state)