tigerData: GC Statistics Datasets

#' Amazon.com Book Reviews
#'
#' @description Amazon.com reader-reviews of several popular books. 
#'
#' @name reviews
#' @docType data
#' @format A data frame with 243,269 observations on the following 5 variables.
#' \describe{
#' \item{\code{book}}{The book under review. Values along with 
#' book-titles are as follows:
#' 
#' \itemize{
#' \item{\code{hunger:  }}{"The Hunger Games"}
#' \item{\code{shades:  }}{"Fifty Shades of Gray"}
#' \item{\code{fault:  }}{"The Fault in our Stars"}
#' \item{\code{martian:  }}{"The Martian"}
#' \item{\code{unbroken:  }}{"Unbroken"}
#' \item{\code{gonegirl:  }}{"The Gone Girl"}
#' \item{\code{traingirl:  }}{"Girl on a Train"}
#' \item{\code{goldfinch:  }}{"The Goldfinch"}
#' }
#' }
#' \item{\code{rating}}{rating assigned (1-5)}
#' \item{\code{URL_fragment}}{Prepend "https://www.amazon.com/" 
#' to get the full URL of the review.}
#' \item{\code{review_title}}{Title of the review; usually a 
#' concise judgment of the book.}
#' \item{\code{content}}{HTML of the review text.}
#' }
#' @source  This data frame is a compilation of the data sets in
#' "Amazon Book Reviews", in the UC-Irvine Machine Learning Repository.
#' See \url{https://archive.ics.uci.edu/ml/datasets/Amazon+book+reviews}
#' for more information.
#' @keywords datasets
#'
NA