ucimlr: UCI Machine Learning Repository

#' Travel Review Ratings
#'
#' This data set is populated by capturing user ratings from Google reviews.
#' Reviews on attractions from 24 categories across Europe are considered.
#' Google user rating ranges from 1 to 5 and average user rating per category
#' is calculated.
#'
#' @format A data frame with 5456 observations on the following 25 variables.
#' \enumerate{
#'   \item user id
#'   \item churches
#'   \item resorts
#'   \item beaches
#'   \item parks
#'   \item theatres
#'   \item museums
#'   \item malls
#'   \item zoo
#'   \item restaurants
#'   \item pubs/bars
#'   \item local services
#'   \item burger/pizza shops
#'   \item hotels/other lodgings
#'   \item juice bars
#'   \item art galleries
#'   \item dance clubs
#'   \item swimming pools
#'   \item gyms
#'   \item bakeries
#'   \item beauty & spas
#'   \item cafes
#'   \item view points
#'   \item monuments
#'   \item gardens
#' }
#'
#' @details
#' Google reviews on attractions from 24 categories across Europe are
#' considered. Google user rating ranges from 1 to 5 and average user rating
#' per category is calculated.
#'
#' @references
#' Renjith, Shini, A. Sreekumar, and M. Jathavedan. 2018. Evaluation of
#' Partitioning Clustering Algorithms for Processing Social Media Data in
#' Tourism Domaina.
#'
#' https://archive.ics.uci.edu/ml/machine-learning-databases/00485/
#'
#' https://archive.ics.uci.edu/ml/datasets/Tarvel+Review+Ratings
#'
#' @source
#' Shini Renjith, shinirenjith '@' gmail.com
"travel_review_ratings"