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#' Cricket batting data for international test players
#'
#' A dataset containing career batting statistics for all international test
#' players (men and women) up to 6 October 2021.
#'
#' @format A data frame with 3754 rows and 15 variables:
#' \describe{
#' \item{Player}{Player name in form of "initials surname"}
#' \item{Country}{Country played for}
#' \item{Start}{First year of test playing career}
#' \item{End}{Last year of test playing career}
#' \item{Matches}{Number of matches played}
#' \item{Innings}{Number of innings batted}
#' \item{NotOuts}{Number of times not out}
#' \item{Runs}{Total runs scored}
#' \item{HighScore}{Highest score in an innings}
#' \item{HighScoreNotOut}{Was highest score not out?}
#' \item{Average}{Batting average at end of career}
#' \item{Hundreds}{Total number of 100s scored}
#' \item{Fifties}{Total number of 50s scored}
#' \item{Ducks}{Total number of 0s scored}
#' \item{Gender}{"Men" or "Women"}
#' }
#' @return Data frame
#' @examples
#' cricket_batting |>
#' filter(Innings > 20) |>
#' select(Player, Country, Matches, Runs, Average, Hundreds, Fifties, Ducks) |>
#' arrange(desc(Average))
#' @source \url{https://www.espncricinfo.com}
"cricket_batting"
#' Old faithful eruption data
#'
#' A data set containing data on recorded eruptions of the Old Faithful Geyser
#' in Yellowstone National Park, Wyoming, USA, from
#' 1 January 2015 to 1 October 2021.
#' Recordings are incomplete, especially during the winter months when observers
#' may not be present.
#'
#' @format A data frame with 2261 rows and 3 columns:
#' \describe{
#' \item{time}{Time eruption started}
#' \item{duration}{Duration of eruption in seconds}
#' \item{waiting}{Time to the following eruption}
#' }
#' @return Data frame
#' @examples
#' oldfaithful |>
#' filter(duration < 7000, waiting < 7000) |>
#' ggplot(aes(x = duration, y = waiting)) +
#' geom_point()
#' @source \url{https://geysertimes.org}
"oldfaithful"
#' Multivariate standard normal data
#'
#' A synthetic data set containing 1000 observations on 10 variables generated
#' from independent standard normal distributions.
#'
#' @format A data frame with 1000 rows and 10 columns.
#' @return Data frame
#' @examples
#' n01
"n01"
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