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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

twelve_from_slant_long

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)