bespokelearnr: Bespoke data science learning

#' mtcars
#'
#' A dataset containing human proteome information from Uniprot.
#'
#' @usage data(mtcars)
#'
#' @docType data
#'
#' @format A data frame with 20,430 rows and 8 variables:
#' \describe{
#' \item{id}{Make and model}
#' \item{make}{Make of the car}
#' \item{model}{Model of the car}
#' \item{mpg}{Miles/(US) gallon}
#' \item{cyl}{Number of cylinders}
#' \item{disp}{Displacement (cu.in.)}
#' \item{hp}{Gross horsepower}
#' \item{drat}{Rear axle ratio}
#' \item{wt}{Weight (1000 lbs)}
#' \item{qsec}{1/4 mile time}
#' \item{vs}{Engine (0 = V-shaped, 1 = straight)}
#' \item{am}{Transmission (0 = automatic, 1 = manual)}
#' \item{gear}{Number of forward gears}
#' \item{carb}{Number of carburetors}
#'   }
#'
#' @keywords datasets
#'
#' @source {Henderson and Velleman (1981), Building multiple regression models interactively. Biometrics, 37, 391–411}
"mtcars"