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A simple dataset containing 17 (mostly logical) variables on 101 animals.
data("Zoo", package = "mlbench")A data frame with 17 columns: hair, feathers, eggs, milk, airborne, aquatic, predator, toothed, backbone, breathes, venomous, fins, legs, tail, domestic, catsize, type.
Most variables are logical and indicate whether the corresponding
animal has the corresponsing characteristic or not. The only 2
exceptions are: legs takes
values 0, 2, 4, 5, 6, and 8. type is a grouping of the animals
into 7 groups, see the example section for the detailed list.
Ask the original donor of the data why girl is an animal.
Blake, C.L. & Merz, C.J. (1998). UCI Repository of Machine Learning Databases. Irvine, CA: University of California, Irvine, Department of Information and Computer Science. Formerly available from http://www.ics.uci.edu/~mlearn/MLRepository.html.
data("Zoo", package = "mlbench")
summary(Zoo)
## see the annimals grouped by type
split(rownames(Zoo), Zoo$type)
## which animals have fins?
rownames(Zoo)[Zoo$fins]
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