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noiris.Rd
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/noiris-package.R
\docType{package}
\name{noiris}
\alias{noiris}
\alias{noiris-package}
\title{noiris: Data sets}
\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.}
}
}
\seealso{
Useful links:
\itemize{
\item \url{https://github.com/m-clark/noiris}
\item Report bugs at \url{https://github.com/m-clark/noiris/issues}
}
}
\author{
\strong{Maintainer}: Michael Clark \email{micl@umich.edu}
}
\keyword{internal}