noiris: Data sets

#' @name noiris

#' @description  The goal of this package is primarily to provide data that is
#'   more relevant to the kind people would more typically come across in the wild,
#'   or is simply more interesting (at least to me).  Far too often examples use
#'   iris, mtcars, etc. for convenience, but these actually are inconvenient for
#'   demonstrating real data and modeling problems, or are too small to be very
#'   realistic examples of everyday data.  This package will provide larger and
#'   at some point messier data, that is better named, better documented, and
#'   would be useful across a variety of modeling contexts.
#' @details Right now it has:
#'
#' \describe{
#'   \item{gapminder_2019}{a 2019 pull from \url{http://www.gapminder.org/data/}}
#'   \item{starwars}{a variety of cleaned data sets produced using the \link[rwars]{rwars} package.}
#'   \item{instructor_evaluations}{a nice-sized data set for mixed/multi-level
#'   modeling taken from the `lme4` package.}
#'   \item{pisa}{OECD's Programme for International Student Assessment with
#'   international scores for math, science, and reading, covering years
#'   2000-2015.}
#'   \item{world_happiness}{Multiyear data set with country level scores of
#'   'happiness'. From 2019 World Happiness Report, and includes data from
#'   2005-2018.}
#'   \item{wine_reviews}{Two data sets regarding wine reviews that can be used
#'   for a wide range of standard statistical and machine learning.}
#'   \item{google_apps}{Ratings and other information for Google Play Store apps.}
#'   \item{fashion_train}{The 'Fashion MNIST'. Image data for clothing items. Also \code{fasion_test}.}
#'   \item{gender_gap}{Country level data regarding the World Bank Gender Gap Index.}
#'   \item{kiva}{Lending information from kiva.org online crowdfunding platform.}
#'   \item{water_risk}{Country and province level data regarding water risk.}
#'   \item{big_five}{Big Five personality traits.}
#'   \item{heart_disease}{The UCI heart disease data.}
#'   \item{retirement}{Retirement participation rates.}
#'   \item{movielens}{1 million movie ratings.}
#'   }
#'
#' @keywords internal
"_PACKAGE"

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