R/utils_globals.R

In realestatebr: Import Brazilian Real Estate Data into R

#' Global Variables Declaration
#'
#' Declares global variables used in tidyverse pipelines to avoid R CMD check NOTEs.
#' These variables are column names that exist in the data frames being processed.
#'
#' @noRd
#' @keywords internal
utils::globalVariables(c(
  # RPPI-related variables
  "name_muni",
  "rent_price",
  "name_geo",
  "index",
  "chg",
  "acum12m",
  "market",
  "rooms",
  "variable",
  "rent_sale",
  "category",
  "value",
  "name_simplified",
  "abbrev_state",
  "code_muni",
  "dim_city",
  "fgv_data",
  "mes",
  "date",
  "info",

  # Common data variables
  "year",

  # BCB variables
  "Data",
  "Info",
  "Valor",
  "series_info",
  "bcb_metadata",
  "code_bcb",
  "category_label",
  "tab",
  "type",
  "id_cols",
  "names_from",

  # BIS variables
  "Period",
  "code",
  "unit",
  "is_nominal",

  # SBPE variables
  "sbpe_netflow_pct",
  "inflow",
  "stock",
  "sbpe_stock",
  "rural_stock",
  "sbpe_netflow",
  "rural_netflow",

  # Common tidyverse column specs
  "cols",
  "col_character",
  "col_number",
  "col_date",

  # Other data processing variables
  "city_name",
  "month",
  "month_label",
  "weighted_median_contract_rent_per_sqm",
  "var_percent_12_meses",
  "name",
  "zone",
  "label",
  "title",

  # tidyxl column names (R/utils.R)
  "address",
  "data_type",

  # FGV IBRE variables (R/get_fgv_ibre.R)
  "code_series",
  "name_series",

  # BIS RPPI variables (R/get_rppi_bis.R)
  "freq_name",
  "obs_value_observation_value",
  "time_period_time_period_or_range",
  "time",
  "unit_code",
  "unit_value_code",

  # Conditionally-called function (R/get_dataset.R)
  "translate_dataset",

  # ABECIP CGI column names (R/get_abecip_indicators.R)
  "ano",
  "valor_emprestimo",
  "no_contratos",
  "prazo_medio",
  "inadimplencia",
  "quantidade_contratos",
  "saldo_remanescente",
  "loan",
  "average_term",
  "default_rate",
  "new_contracts",
  "stock_contracts",
  "outstanding_balance"
))