#' This function parses the JSON from the StatBank.
#' (http://www.statistikbanken.dk/statbank5a/ or http://www.dst.dk)
#'
#' This function structures the JSON data a bit an creates a basic_query.
#' Some tables are VERY large, so the basic request is rather simple. The
#' function returns a list with basic data, info on available variables
#' and a list with a basic request.
#'
#' @param meta The returned meta data from the function meta_dst.
#' @param lang The language from the orignal dst_meta function (due to an error in the API)
dst_meta_parse <- function(meta, lang){
# Get basic info on the table.
# The basics contains a description on what
# data the table contains, when it was updates and the units of the values.
basics_names <- c("id", "text", "description",
"unit", "updated", "footnote")
basics <- meta[names(meta) %in% basics_names]
# Get the description of the variables.
# Keep the "elimination" columns as this describes if the variable
# is mandatory or not.
variables <- meta[["variables"]][,c("id", "text", "elimination")]
# Structure the values the user can choose in their query
values <- meta[["variables"]][,"values"]
names(values) <- variables$id
# Replace Q with K in the time as this is requiered by the API.
# I'm not sure if this is a bug or an issue anymore but I keep the
# fix just in case.
if(lang == "en"){
test <- grepl(pattern="Tid", names(values))
if(sum(test) > 0){
values$Tid$id <- sub(pattern="Q", replacement="K", x=values$Tid$id)
}
}
# Return the data as a list.
return(list("basics" = basics, "variables" = variables, "values" = values))
}
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