R/data_air.R

In gmgm: Gaussian Mixture Graphical Model Learning and Inference

#' Beijing air quality dataset
#'
#' This dataset includes hourly air pollutants and weather data measured at the
#' Dongsi air quality monitoring site in Beijing (China) for 320 complete days
#' of the year 2015. These data are taken from the Beijing Multi-Site Air
#' Quality Dataset published in the UCI Machine Learning Repository:
#' \url{https://archive.ics.uci.edu/ml/datasets/Beijing+Multi-Site+Air-Quality+Data}
#' (Zhang \emph{et al.}, 2017).
#'
#' @format A data frame (tibble) with 7680 rows and 6 columns:
#' \itemize{
#' \item \code{DATE}: day's date;
#' \item \code{HOUR}: hour of the day;
#' \item \code{NO2}: nitrogen dioxide concentration
#' (\ifelse{html}{\out{μg/m³}}{µg/m³});
#' \item \code{O3}: ozone concentration
#' (\ifelse{html}{\out{μg/m³}}{µg/m³});
#' \item \code{TEMP}: temperature (\ifelse{html}{\out{°C}}{°C});
#' \item \code{WIND}: wind speed (m/s).
#' }
#'
#' @references
#' Zhang, S., Guo, B., Dong, A., He, J., Xu, Z. and Chen, S. X. (2017).
#' Cautionary Tales on Air-Quality Improvement in Beijing. \emph{Proceedings of
#' the Royal Society A}, 473.
#'
#' @seealso \code{\link{data_body}}, \code{\link{gmbn_body}},
#' \code{\link{gmdbn_air}}, \code{\link{gmm_body}}

"data_air"