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#' Example Trade Data for the European Union
#'
#' Simulated trade data for a commodity within the European Union (EU).
#' This dataset illustrates the trade and production flow of a commodity that could
#' serve as a potential pathway for the entry of a pest into EU countries, in yearly
#' time periods. It also includes simulated consumption data for the commodity at NUTS1 level.
#' This dataset serves as a reference for how the data should be structured and as
#' a basis for the examples included in the [qPRAentry] package to deal with the NUTS
#' code system
#' ([Nomenclature of territorial units for statistics](https://ec.europa.eu/eurostat/web/nuts)).
#'
#' @format A list of four data frames:
#' \itemize{
#' \item **extra_import** \verb{ } Data on imports from countries outside of the EU.
#' A data frame with 216 rows and 4 columns:
#' \tabular{lll}{
#' \code{reporter} \tab \verb{ } \tab NUTS0 code of the importing country.\cr
#' \tab \cr
#' \code{partner} \tab \verb{ } \tab ID of the exporting countries, coded
#' as "Extra_Total" for all external countries, and "CNTR_1", "CNTR_2",
#' "CNTR_3" to indicate individual non-EU countries where the pest is present.\cr
#' \tab \cr
#' \code{time_period} \tab \verb{ } \tab Time period of trade, with values
#' 2020 and 2021.\cr \tab \cr
#' \code{value} \tab \verb{ } \tab Quantity of the commodity imported.\cr
#' }}
#' \itemize{
#' \item **intra_trade** \verb{ } Data on internal trade within EU member countries.
#' A data frame with 1404 rows and 4 columns:
#' \tabular{lll}{
#' \code{reporter} \tab \verb{ } \tab NUTS0 code of the importing country.\cr
#' \tab \cr
#' \code{partner} \tab \verb{ } \tab NUTS0 code of the exporting country.\cr
#' \tab \cr
#' \code{time_period} \tab \verb{ } \tab Time period of trade, with values
#' 2020 and 2021.\cr \tab \cr
#' \code{value} \tab \verb{ } \tab Quantity of the commodity imported.\cr
#' }}
#' \itemize{
#' \item **internal_production** \verb{ } Data on the internal production of
#' the commodity within the EU. A data frame with 54 rows and 3 columns:
#' \tabular{lll}{
#' \code{reporter} \tab \verb{ } \tab NUTS0 code of the producing country.\cr
#' \tab \cr
#' \code{time_period} \tab \verb{ } \tab Time period of trade, in years
#' (2020 and 2021).\cr \tab \cr
#' \code{value} \tab \verb{ } \tab Quantity of the commodity produced.\cr
#' }}
#' \itemize{
#' \item **consumption_nuts1** \verb{ } Data on the consumption of the commodity
#' in the EU at NUTS1 level (administrative divisions). A data frame with 92 rows
#' and 2 columns:
#' \tabular{lll}{
#' \code{NUTS_ID} \tab \verb{ } \tab NUTS1 code of the administrative division.\cr
#' \tab \cr
#' \code{value} \tab \verb{ } \tab Quantity of the commodity consumed.\cr
#' }}
#'
"datatrade_EU"
#' Example Trade Data for Northern America
#'
#' Simulated trade data for a commodity within Northern America.
#' This dataset illustrates the trade and production flow of a commodity that could
#' serve as a potential pathway for the entry of a pest into Northern American
#' countries. The data is organised in three-month periods within a year.
#' It also includes simulated consumption data of the commodity at at the level of
#' principal sub-national divisions (ISO 3166-2 codes).
#' This dataset serves as a reference on how the data should be structured and provides
#' the basis for the examples included in the [qPRAentry] package to deal with the ISO
#' 3166 code system
#' ([ISO 3166 Maintenance Agency](https://www.iso.org/iso-3166-country-codes.html)).
#'
#' @format A list of four data frames:
#' \itemize{
#' \item **extra_import** \verb{ } Data on imports from countries outside of
#' Northern America. A data frame with 100 rows and 4 columns:
#' \tabular{lll}{
#' \code{reporter} \tab \verb{ } \tab ISO 3166-1 alpha-2 code of the importing country.\cr
#' \tab \cr
#' \code{partner} \tab \verb{ } \tab ID of the exporting country, coded as
#' "CNTR_1" to "CNTR_5" to represent specific non-Northern American countries.\cr
#' \tab \cr
#' \code{time_period} \tab \verb{ } \tab Time period of trade, in three-month
#' periods ("January-March", "April-June", "July-September", "October-December").\cr
#' \tab \cr
#' \code{value} \tab \verb{ } \tab Quantity of the commodity imported.\cr
#' }}
#' \itemize{
#' \item **intra_trade** \verb{ } Data on internal trade within Northern American countries.
#' A data frame with 80 rows and 4 columns:
#' \tabular{lll}{
#' \code{reporter} \tab \verb{ } \tab ISO 3166-1 alpha-2 code of the importing
#' country.\cr \tab \cr
#' \code{partner} \tab \verb{ } \tab ISO 3166-1 alpha-2 code of the exporting
#' country.\cr \tab \cr
#' \code{time_period} \tab \verb{ } \tab Time period of trade, in three-month
#' periods ("January-March", "April-June", "July-September", "October-December").\cr
#' \tab \cr
#' \code{value} \tab \verb{ } \tab Quantity of the commodity imported.\cr
#' }}
#' \itemize{
#' \item **internal_production** \verb{ } Data on the internal production of the commodity
#' within Northern America. A data frame with 20 rows and 3 columns:
#' \tabular{lll}{
#' \code{reporter} \tab \verb{ } \tab ISO 3166-1 alpha-2 code of the producing
#' country.\cr \tab \cr
#' \code{time_period} \tab \verb{ } \tab Time period of trade, in three-month
#' periods ("January-March", "April-June", "July-September", "October-December").\cr
#' \tab \cr
#' \code{value} \tab \verb{ } \tab Quantity of the commodity produced.\cr
#' }}
#' \itemize{
#' \item **consumption_iso2** \verb{ } Data on the consumption of the commodity in
#' Northern America at ISO 3166-2 level (principal subdivisions of countries).
#' A data frame with 83 rows and 2 columns:
#' \tabular{lll}{
#' \code{iso_3166_2} \tab \verb{ } \tab ISO 3166-2 code of the subdivision.\cr
#' \tab \cr
#' \code{value} \tab \verb{ } \tab Quantity of the commodity consumed.\cr
#' }}
"datatrade_NorthAm"
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