R/data_germany.R

In iotables: Reproducible Input-Output Economics Analysis, Economic and Environmental Impact Assessment with Empirical Data

#' @title Simple input-output table for Germany, 1995.
#' 
#' @description Replication data taken from the Eurostat Manual, 
#' Table 15.4: Input-output table of domestic output at basic prices (Version A)
#'
#' @details For testing and documentation purposes a well documented example is taken the Eurostat Manual.
#' The table in the Eurostat manual is brought to the format used by the Eurostat database.
#' It is a small dataset for examples, but it is also instructive to understand how Eurostat
#' stores the highly structured SIOTs in long-form tidy datasets. 
#' The labels were slightly alterred to reflect the transition from the vocabulary
#' of ESA95 to ESA2010 since the publication of the Manual.
#' @source \href{https://ec.europa.eu/eurostat/documents/3859598/5902113/KS-RA-07-013-EN.PDF/b0b3d71e-3930-4442-94be-70b36cea9b39?version=1.0}{Eurostat Manual of Supply, Use and Input-Output Tables} p 482
#' @usage data(germany_1995)
#' @format A data frame with 228 observations and 10 variables.
#'\describe{
#'   \item{prod_na}{Technology codes in row names, following the Eurostat convention.}
#'   \item{prod_na_lab}{Longer labels for t_rows2.}
#'   \item{induse}{Column labels, following the Eurostat convention with differences.}
#'   \item{iotables_row}{Row labels, i.e. to be used in key column, for iotables package abbreviations.}
#'   \item{iotables_col}{Column labels for iotables package abbreviations.}
#'   \item{values}{The actual values of the table in million euros.}  
#'   \item{unit}{MIO_EUR, the same as Eurostat.}
#'   \item{unit_lab}{Million euros. Eurostat usually has euro and national currency unit values, too.}
#'   \item{geo}{ISO/Eurostat country code for Germany, i.e. DE.}
#'   \item{geo_lab}{ISO/Eurostat country name, Germany.}
#'   \item{time}{Date of the SIOT.}     
#' }
#' @family Validation datasets
"germany_1995"