#' UNHCR data for 2017 #' #' The dataset contains data about UNHCR's populations of concern for the year 2017. #' #' @format A data frame with 11237 observations and the following 6 variables: #' \describe{ #' \item{\code{country_origin}}{Country of origin of population} #' \item{\code{country_residence}}{Country / territory of asylum/residence of population} #' \item{\code{population_type}}{Populations of concern : Refugees, Asylum-seekers, Internally displaced persons (IDPs), Returned refugees, #' Returned IDPs, Stateless persons, Others of concern.} #' \item{\code{value}}{Number of people concerned} #' \item{\code{continent_residence}}{Continent of origin of population} #' \item{\code{continent_origin}}{Continent of residence of population} #' } #' @source UNHCR (The UN Refugee Agency) (\url{https://www.unhcr.org/}) "unhcr_popstats_2017" #' UNHCR data by continent of origin #' #' The dataset contains data about UNHCR's populations of concern summarised by continent of origin. #' #' @format A data frame with 913 observations and the following 4 variables: #' \describe{ #' \item{\code{year}}{Year concerned.} #' \item{\code{population_type}}{Populations of concern : Refugees, Asylum-seekers, Internally displaced persons (IDPs), Returned refugees, #' Returned IDPs, Stateless persons, Others of concern.} #' \item{\code{continent_origin}}{Continent of residence of population.} #' \item{\code{n}}{Number of people concerned.} #' } #' @source UNHCR (The UN Refugee Agency) (\url{https://www.unhcr.org/}) "unhcr_ts" #' Electricity consumption and forecasting #' #' Electricity consumption per day in France for january and february of year 2020. #' #' @format A data frame with 120 observations and the following 3 variables: #' \describe{ #' \item{\code{date}}{date.} #' \item{\code{type}}{Type of data : realised or forecast.} #' \item{\code{value}}{Value in giga-watt per hour.} #' } #' @source Rte (Electricity Transmission Network in France) (\url{https://data.rte-france.com/}) "consumption"