CRAN/E | datasauRus

datasauRus

Datasets from the Datasaurus Dozen

Installation

About

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.

github.com/jumpingrivers/datasauRus
jumpingrivers.github.io/datasauRus/
Bug report File report

Key Metrics

Version 0.1.8
R ≥ 3.5.0
Published 2024-02-26 62 days ago
Needs compilation? no
License MIT
License File
CRAN checks datasauRus results
Language en-US

Downloads

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Maintainer

Maintainer

Colin Gillespie

colin@jumpingrivers.com

Authors

Colin Gillespie

cre / aut

Steph Locke

aut

Alberto Cairo

dtc

Rhian Davies

aut

Justin Matejka

dtc

George Fitzmaurice

dtc

Lucy D'Agostino McGowan

aut

Richard Cotton

ctb

Tim Book

ctb

Jumping Rivers

fnd

Material

README
NEWS
Reference manual
Package source

Vignettes

The Datasaurus data package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

datasauRus archive

Depends

R ≥ 3.5.0

Suggests

dplyr
ggplot2
knitr
rmarkdown
spelling
testthat

Reverse Suggests

anscombiser