Description Usage Arguments Details Value Examples
View source: R/get_insee_idbank.R
Get data from INSEE series idbank
1 2 3 4 5 6 7 8 9 10  | 
... | 
 one or several series key (idbank)  | 
limit | 
 by default, the function get_insee_idbank has a 1200-idbank limit. Set limit argument to FALSE to ignore the limit or modify the limit with the following command : Sys.setenv(INSEE_idbank_limit = 1200)  | 
startPeriod | 
 start date of data  | 
endPeriod | 
 end date of data  | 
firstNObservations | 
 get the first N observations for each key series (idbank)  | 
lastNObservations | 
 get the last N observations for each key series (idbank)  | 
includeHistory | 
 boolean to access the previous releases (not available on all series)  | 
updatedAfter | 
 starting point for querying the previous releases (format yyyy-mm-ddThh:mm:ss)  | 
Get data from INSEE series idbanks. The user can disable the download display in the console with the following command : Sys.setenv(INSEE_download_verbose = "FALSE")
a tibble with the data
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37  | #example 1 : import price index of industrial products and turnover index : manufacture of wood
data = get_insee_idbank("001558315", "010540726")
#example 2 : unemployment data
library(tidyverse)
df_idbank_list_selected =
  get_idbank_list("CHOMAGE-TRIM-NATIONAL") %>%  #unemployment dataset
  filter(SEXE == 0) %>% #men and women
  add_insee_title()
idbank_list_selected = df_idbank_list_selected %>% pull(idbank)
unem = get_insee_idbank(idbank_list_selected)
#example 3 : French GDP growth rate
library(tidyverse)
df_idbank_list_selected =
  get_idbank_list("CNT-2014-PIB-EQB-RF") %>%  # Gross domestic product balance
  filter(FREQ == "T") %>% #quarter
  filter(OPERATION == "PIB") %>% #GDP
  filter(NATURE == "TAUX") %>% #rate
  filter(CORRECTION == "CVS-CJO") #SA-WDA, seasonally adjusted, working day adjusted
idbank = df_idbank_list_selected %>% pull(idbank)
data = get_insee_idbank(idbank) %>%
  add_insee_metadata()
#plot
ggplot(data, aes(x = DATE, y = OBS_VALUE)) +
geom_col() +
ggtitle("French GDP growth rate, quarter-on-quarter, sa-wda") +
labs(subtitle = sprintf("Last updated : %s", data$TIME_PERIOD[1]))
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