## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>", eval = TRUE ) ## ----eval=FALSE--------------------------------------------------------------- # library(pulso) # # # 2024-06 is a validated period -- loads without any warning # df <- pulso_load(year = 2024, month = 6, module = "ocupados") ## ----eval=FALSE--------------------------------------------------------------- # # Raises pulso_data_not_validated -- 2024-09 is not yet validated # df <- pulso_load(year = 2024, month = 9, module = "ocupados") # # # Explicitly allow unvalidated periods -- emits a visible warning # df <- pulso_load(year = 2024, month = 9, module = "ocupados", # allow_unvalidated = TRUE) ## ----eval=FALSE--------------------------------------------------------------- # pulso_validation_status(2024, 6) ## ----eval=FALSE--------------------------------------------------------------- # pulso_list_validated_range() ## ----eval=FALSE--------------------------------------------------------------- # df <- pulso_load(year = 2024, month = 6, module = "ocupados", # metadata = TRUE) ## ----eval=FALSE--------------------------------------------------------------- # cat(pulso_describe_column(df, "p6020")) ## ----eval=FALSE--------------------------------------------------------------- # metadata_summary <- pulso_list_columns_metadata(df) # print(metadata_summary) ## ----------------------------------------------------------------------------- library(pulso) vars <- pulso_list_variables() head(vars[, c("canonical_name", "module", "has_warning")], 10) ## ----------------------------------------------------------------------------- cat(pulso_describe_variable("sexo")) ## ----------------------------------------------------------------------------- cat(pulso_describe("ocupados")) ## ----eval=FALSE--------------------------------------------------------------- # # R # library(pulso) # df <- pulso_load(year = 2024, month = 6, module = "ocupados", # metadata = TRUE) # cat(pulso_describe_column(df, "p6020"))