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Package: datasauRus | ||
Title: Datasets from the Datasaurus Dozen | ||
Version: 0.1.1 | ||
Version: 0.1.2 | ||
Authors@R: c(person("Steph", "Locke", email = "[email protected]", role = c( "cre","aut")), | ||
person("Alberto", "Cairo", email = "[email protected]", role = c( "dtc")), | ||
person("Justin", "Matejka", email = "[email protected]", role = c( "dtc")), | ||
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@@ -10,9 +10,9 @@ Authors@R: c(person("Steph", "Locke", email = "[email protected]", rol | |
Description: 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 'dataset' package). Anscombe's Quartet | ||
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 highights the value of visualisation in understanding data, over and above | ||
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 | ||
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