#' Basketball data
#'
#' Example of counterfactual data, where we have two groups of athletes,
#' those who played basketball and control. Besides observed \code{Height},
#' this data set provides potential-outcomes \code{Height_0} and \code{Height_1},
#' which represent counterfactuals. This data set was used to demonstrate
#' causal inference, average treatment effects and individual treatment effects
#'
#' @format A data frame with 30 rows and 6 variables:
#' \describe{
#' \item{Athlete}{Name of the athlete}
#' \item{Treatment}{Either Basketball or Control}
#' \item{Height_0}{Potential outcome (Height) if basketball was not played}
#' \item{Height_1}{Potential outcome (Height) if basketball was played}
#' \item{Height}{Observed Height}
#' \item{Causal Effect}{Difference between \code{Height_1} and {Height_0}}
#' }
#' @usage data(basketball_data)
"basketball_data"
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