R/data_gender_school_earnings.R

#' Sample data to test the graphs.
#'
#' Loading data('tidychartsdata') will attach 2 data.frames to your environment for testing out the graphs,
#' You can run the examples from the function documentation
#'
#' @format gender_school_earnings is data frame with 21 observations and 4 variables:
#' \describe{
#'   \item{School}{The school where this data was collected}
#'   \item{Women}{Average earnings made by Women from that School}
#'   \item{Men}{Average earnings made by Men from that School}
#'   \item{Gap}{The gap between earnings of Men and Women for the respective School}
#' }
#' @source \url{https://raw.githubusercontent.com/plotly/datasets/master/school_earnings.csv}
"gender_school_earnings"
vedhav/tidycharts documentation built on Nov. 15, 2020, 3:26 p.m.