#' 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"
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