r - How to solve an error in label_eurostat(): "Dictionary information is missing" -


i periodically download dataset eurostat eurostat package in r , label function label_eurostat(). following code worked fine in past gives me errors since week:

> emprt <- get_eurostat("lfst_r_lfe2emprt", time_format = "num") > emprt <- filter(emprt, sex == "t", age == "y15-64", geo %in% c("at", "de", "fr")) > emprt <- dcast(emprt, geo ~ time) using values value column: use value.var override. > emprt <- label_eurostat(emprt, lang = "de") error in label_eurostat(emprt, lang = "de") :  dictionary information missing

i tried specific dictionary received warning message:

> emprt <- label_eurostat(emprt, dic = "geo", lang = "de") warning message: in label_eurostat(emprt, dic = "geo", lang = "de") :   labels geo not found.

i´m not sure if dictionary 1 choose 1 found @ eurostat. saw there other issues function causing error this:

error in `levels<-`(`*tmp*`, value = if (nl == nl) as.character(labels) else paste0(labels,  :  factor level [19] duplicated

but i´m not sure if 1 related problem. i´m thankfull every hint!

you use

packageversion("eurostat") # [1] ‘3.1.1’ library(eurostat) library(tidyverse) library(reshape2) get_eurostat("lfst_r_lfe2emprt", time_format = "num") %>%   filter(sex == "t", age == "y15-64", geo %in% c("at", "de", "fr")) %>%   dcast(geo ~ time) %>%   droplevels %>%   mutate(geo = label_eurostat(geo, dic = "geo", lang = "de"))

or

get_eurostat("lfst_r_lfe2emprt", time_format = "num") %>%   filter(sex == "t", age == "y15-64", geo %in% c("at", "de", "fr")) %>%   label_eurostat(lang = "de") %>%   dcast(geo ~ time)

with regards warning: if don't drop unused geo factor levels, label_eurostat might assign duplicate labels; instance consider

get_eurostat("lfst_r_lfe2emprt", time_format = "num") %>%    pull(geo) %>%    levels %>%    grep(pattern = "^de3", value = true) # [1] "de3"  "de30"

if @ get_eurostat_dic("geo"), both de3 , de30 lead berlin: 

get_eurostat_dic("geo") %>% filter(grepl("^de30?$", code_name)) # # tibble: 2 x 2 #   code_name full_name #       <chr>     <chr> # 1       de3    berlin # 2      de30    berlin

side note: don't need reshape2::dcast if got tidyverse loaded; select(geo, time, values) %>% spread(time, values) instead.


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