This is a transformation of the mtcars dataset from R to produce a small dataset with each of the fundamental datatypes: logical, factor, ordered, integer, double, and character. Most of the transformations are obvious, but a few are noteworthy:
The row names (the car model) are saved as a character vector.
For the unordered factors, the country and continent of the car manufacturer are obtained based on the row names (model).
For the ordered factor, gears 3, 4, and 5 are encoded as 'three', 'four', and 'five', respectively. The text labels make it explicit that the variable is ordinal, yet the number names make the order crystal clear.
Here is the adaptation of the original description of the mtcars dataset:
The data was extracted from the 1974 Motor Trend US magazine, and comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973--74 models).
var_carsA tibble with 32 observations on 14 variables.
character: Car model
double: Miles/(US) gallon
integer: Number of cylinders
double: Displacement (cu.in.)
double: Gross horsepower
double: Rear axle ratio
double: Weight (1000 lbs)
double: 1/4 mile time
logical: Engine (0 = V-shaped, 1 = straight)
logical: Transmission (0 = automatic, 1 = manual)
ordered: Number of forward gears
integer: Number of carburetors
factor: Country of car manufacturer
factor: Continent of car manufacturer
Henderson and Velleman (1981), Building multiple regression models interactively. Biometrics, 37, 391--411.