On this R-data statistics page, you will find information about the cu.summary data set which pertains to Automobile Data from 'Consumer Reports' 1990. The cu.summary data set is found in the rpart R package. You can load the cu.summary data set in R by issuing the following command at the console data("cu.summary"). This will load the data into a variable called cu.summary. If R says the cu.summary data set is not found, you can try installing the package by issuing this command install.packages("rpart") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the cu.summary R data set. The size of this file is about 6,046 bytes.
Automobile Data from 'Consumer Reports' 1990
cu.summary data frame has 117 rows and 5 columns, giving data on makes of cars taken from the April, 1990 issue of Consumer Reports.
This data frame contains the following columns:
a numeric vector giving the list price in US dollars of a standard model
of origin, a factor with levels Brazil, England, France, Germany, Japan, Japan/USA, Korea, Mexico, Sweden and USA
an ordered factor with levels Much worse < worse < average < better < Much better
fuel consumption miles per US gallon, as tested.
a factor with levels
Consumer Reports, April, 1990, pp. 235–288 quoted in
John M. Chambers and Trevor J. Hastie eds. (1992) Statistical Models in S, Wadsworth and Brooks/Cole, Pacific Grove, CA, pp. 46–47.
fit <- rpart(Price ~ Mileage + Type + Country, cu.summary)
par(xpd = TRUE)
plot(fit, compress = TRUE)
text(fit, use.n = TRUE)
Dataset imported from https://www.r-project.org.