habitudes_indiv_decode
habitudes_men_decode
list(individus=habitudes_indiv_decode,menages = habitudes_men_decode) %>%
writexl::write_xlsx(path = "inst/fichiers_dataset/habitudes.xlsx")
ind_to_keep <- conso_ca_indiv_decode %>% distinct(NOIND) %>%
sample_n(100) %>% pull(NOIND)
conso_ca_indiv_decode %>% filter(NOIND %in% ind_to_keep) %T>%
writexl::write_xlsx(path = "inst/fichiers_dataset/conso_ca_indiv.xlsx") %>%
readr::write_csv2("inst/fichiers_dataset/conso_ca_indiv.csv")
conso_ca_prod_decode %>% filter(NOIND %in% ind_to_keep) %T>%
writexl::write_xlsx(path = "inst/fichiers_dataset/conso_ca_prod.xlsx") %>%
readr::write_csv("inst/fichiers_dataset/conso_ca_prod.csv")
habitudes_indiv_decode %>%
readr::write_csv2("inst/fichiers_dataset/habitudes_indiv.csv")
fpq_decode %>% readr::write_tsv(path = "inst/fichiers_dataset/fpq.txt")
nomenclature_decode %>% write_delim(delim = ";",path = "inst/fichiers_dataset/nomenclature.csv")
# read_csv2("inst/fichiers_dataset//nomenclature.csv")
conso_compo_alim_decode %>%
slice(1:100) %>%
select(POPULATION,NOIND,occ_type,occ_lieu,aliment_libelle_INCA3,aliment_code_INCA3,qte_conso)%>%
# write_delim(delim = ";",
write_csv2(
path = "inst/fichiers_dataset/conso_compo_alim_lite.csv")
# + manuellement, rajout d 'une ligne
read_csv2(file = "inst/fichiers_dataset/conso_compo_alim_lite.csv")
read_csv(file = "inst/fichiers_dataset/conso_compo_alim_lite - Copie.csv")
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