#' 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 : realized 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" #' Candlestick demo data #' #' #' @format A data frame with 60 observations and the following 5 variables: #' \describe{ #' \item{\code{datetime}}{Timestamp.} #' \item{\code{open}}{Open value.} #' \item{\code{high}}{Highest value.} #' \item{\code{low}}{Lowest value.} #' \item{\code{close}}{Close value.} #' } #' @source Apexcharts (\url{https://apexcharts.com/javascript-chart-demos/candlestick-charts/basic/}) "candles" #' @title Paris Climate #' #' @description Average temperature and precipitation in Paris for the period 1971-2000. #' #' #' @format A data frame with 12 observations and the following 3 variables: #' \describe{ #' \item{\code{month}}{Month} #' \item{\code{temperature}}{Temperature (in degree celsius).} #' \item{\code{precipitation}}{Precipitation (in mm).} #' } #' @source Wikipedia (\url{https://fr.wikipedia.org/wiki/Climat_de_Paris}) "climate_paris"