#' Fish data.
#'
#' State wildlife biologists want to model how many fish are being caught by
#' fishermen at a state park.
#'
#' @format A tibble of 250 rows and 6 columns. Good for demonstrating zero-inflated models.
#' \describe{
#' \item{nofish}{I've never seen this explained. Originally 0 and 1, 0 is
#' equivalent to \code{livebait == 'yes'}, so I think it is whether the
#' primary motivation of the camping trip is for fishing or not. So
#' \code{no?fish == 'yes'} means the trip was not just for fishing.}
#' \item{livebait}{whether live bait was used or not}
#' \item{camper}{whether or not they brought a camper}
#' \item{persons}{how many total persons on the trip}
#' \item{child}{how many children present}
#' \item{count}{number of fish count}
#' }
#'
#' @details Visitors are asked how long they stayed, how many people were in
#' the group, were there children in the group and how many fish were caught.
#' Some visitors do not fish, but there is no data on whether a person fished
#' or not. Some visitors who did fish did not catch any fish so there are
#' excess zeros in the data because of the people that did not fish.
#'
#' @source \url{https://stats.idre.ucla.edu/r/dae/zip/}
#' @examples
#' library(noiris)
#' str(fish)
"fish"
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