The Datasaurus Dozen is a set of datasets with the same summary statistics. They retain the same summary statistics despite having radically different distributions. The datasets represent a larger and quirkier object lesson that is typically taught via Anscombe's Quartet (available in the 'datasets' package). Anscombe's Quartet contains four very different distributions with the same summary statistics and as such highlights the value of visualisation in understanding data, over and above summary statistics. As well as being an engaging variant on the Quartet, the data is generated in a novel way. The simulated annealing process used to derive datasets from the original Datasaurus is detailed in "Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing" <doi:10.1145/3025453.3025912>.
| Version: | 0.1.6 |
| Depends: | R (≥ 3.0.0) |
| Suggests: | dplyr, ggplot2, knitr, rmarkdown, testthat |
| Published: | 2022-05-04 |
| Author: | Rhian Davies [cre, aut], Steph Locke [aut], Alberto Cairo [dtc], Justin Matejka [dtc], George Fitzmaurice [dtc], Lucy D'Agostino McGowan [aut], Richard Cotton [ctb], Tim Book [ctb], Jumping Rivers [fnd] |
| Maintainer: | Rhian Davies <rhian at jumpingrivers.com> |
| BugReports: | https://github.com/jumpingrivers/datasauRus/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/jumpingrivers/datasauRus, https://jumpingrivers.github.io/datasauRus/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | datasauRus results |
| Reference manual: | datasauRus.pdf |
| Vignettes: |
The Datasaurus data package |
| Package source: | datasauRus_0.1.6.tar.gz |
| Windows binaries: | r-devel: datasauRus_0.1.6.zip, r-release: datasauRus_0.1.6.zip, r-oldrel: datasauRus_0.1.6.zip |
| macOS binaries: | r-release (arm64): datasauRus_0.1.6.tgz, r-oldrel (arm64): datasauRus_0.1.6.tgz, r-release (x86_64): datasauRus_0.1.6.tgz, r-oldrel (x86_64): datasauRus_0.1.6.tgz |
| Old sources: | datasauRus archive |
| Reverse suggests: | anscombiser |
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