# NOT RUN {
#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)
idbank_list = get_idbank_list()
df_idbank_list_selected =
idbank_list %>%
filter(nomflow == "CHOMAGE-TRIM-NATIONAL") %>% #unemployment dataset
filter(dim5 == 0) %>% #men and women
mutate(title = get_insee_title(idbank))
idbank_list_selected = df_idbank_list_selected %>% pull(idbank)
unem = get_insee_idbank(idbank_list_selected)
#example 3 : French GDP growth rate
library(tidyverse)
idbank_list = get_idbank_list()
df_idbank_list_selected =
idbank_list %>%
filter(nomflow == "CNT-2014-PIB-EQB-RF") %>% # Gross domestic product balance
filter(dim1 == "T") %>% #quarter
filter(dim4 == "PIB") %>% #GDP
filter(dim6 == "TAUX") %>% #rate
filter(dim10 == "CVS-CJO") #SA-WDA, seasonally adjusted, working day adjusted
idbank = idbank_list_selected %>% pull(idbank)
data = get_insee_idbank(idbank)
#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]))
# }
# NOT RUN {
# }
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