Datasaurus: The Datasaurus Dozen
In stevedata: Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
Datasaurus R Documentation
The Datasaurus Dozen
Description
An illustrative exercise in never trusting the summary statistics without
also visualizing them.
Usage
Datasaurus
Format
A data frame with 1,846 observations on the following 3 variables.
datasetthe particular data set, one of 12
xa random variable
yanother random variable
Details
Data were created by Alberto Cairo to illustrate you should always
visualize your data beyond the summary statistics. These are 12 data sets,
in long form, each with a mean of x about 54.26, a mean of y
about 47.83. The standard deviation for x is about 16.76 and the
standard deviation of y is about 26.93. x and y will
correlate weakly, about -.06.
Author(s)
Alberto Cairo, Justin Matejka, George Fitzmaurice
References
Matejka, Justin and George Fitzmaurice. 2017. “Same Stats, Different Graphs:
Generating Datasets with Varied Appearance and Identical Statistics
through Simulated Annealing.”
ACM SIGCHI Conference on Human Factors in Computing Systems.
stevedata documentation built on Oct. 26, 2024, 5:14 p.m.
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| Datasaurus | R Documentation |
The Datasaurus Dozen
Description
An illustrative exercise in never trusting the summary statistics without also visualizing them.
Usage
Datasaurus
Format
A data frame with 1,846 observations on the following 3 variables.
datasetthe particular data set, one of 12
xa random variable
yanother random variable
Details
Data were created by Alberto Cairo to illustrate you should always
visualize your data beyond the summary statistics. These are 12 data sets,
in long form, each with a mean of x about 54.26, a mean of y
about 47.83. The standard deviation for x is about 16.76 and the
standard deviation of y is about 26.93. x and y will
correlate weakly, about -.06.
Author(s)
Alberto Cairo, Justin Matejka, George Fitzmaurice
References
Matejka, Justin and George Fitzmaurice. 2017. “Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing.” ACM SIGCHI Conference on Human Factors in Computing Systems.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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