Title:	Download Data from Bank of Spain
Version:	0.5.0
Description:	Tools to download data series from 'Banco de España' ('BdE') on 'tibble' format. 'Banco de España' is the national central bank and, within the framework of the Single Supervisory Mechanism ('SSM'), the supervisor of the Spanish banking system along with the European Central Bank. This package is in no way sponsored endorsed or administered by 'Banco de España'.
License:	GPL (≥ 3)
URL:	https://ropenspain.github.io/tidyBdE/, https://github.com/rOpenSpain/tidyBdE
BugReports:	https://github.com/rOpenSpain/tidyBdE/issues
Depends:	R (≥ 4.1.0)
Imports:	dplyr (≥ 0.7.0), ggplot2 (≥ 3.5.0), readr (≥ 1.0.0), scales (≥ 1.1.0), tibble (≥ 3.0.0), tidyr, utils
Suggests:	knitr, lifecycle, rmarkdown, testthat (≥ 3.0.0)
VignetteBuilder:	knitr
Config/Needs/coverage:	covr
Config/Needs/website:	cpp11, devtools, progress, reactable, remotes, styler, tidyverse, ropenspain/rostemplate
Config/testthat/edition:	3
Config/testthat/parallel:	true
Copyright:	See file inst/COPYRIGHTS
Encoding:	UTF-8
LazyData:	true
RoxygenNote:	7.3.3
X-schema.org-applicationCategory:	Macroeconomics
X-schema.org-isPartOf:	https://ropenspain.es/
X-schema.org-keywords:	api, bde, cran, ggplot2, macroeconomics, r, r-package, ropenspain, rstats, series-data, spain
NeedsCompilation:	no
Packaged:	2026-01-13 23:48:58 UTC; diego
Author:	Diego H. Herrero [aut, cre, cph]
Maintainer:	Diego H. Herrero <dev.dieghernan@gmail.com>
Repository:	CRAN
Date/Publication:	2026-01-14 00:00:02 UTC

tidyBdE: Download Data from Bank of Spain

Description

Tools to download data series from 'Banco de España' ('BdE') on 'tibble' format. 'Banco de España' is the national central bank and, within the framework of the Single Supervisory Mechanism ('SSM'), the supervisor of the Spanish banking system along with the European Central Bank. This package is in no way sponsored endorsed or administered by 'Banco de España'.

Author(s)

Maintainer: Diego H. Herrero dev.dieghernan@gmail.com (ORCID) [copyright holder]

See Also

Useful links:

• https://ropenspain.github.io/tidyBdE/

• https://github.com/rOpenSpain/tidyBdE

• Report bugs at https://github.com/rOpenSpain/tidyBdE/issues

Load BdE catalogs

Description

Load the time-series catalogs provided by the BdE.

Usage

bde_catalog_load(
  catalog = c("ALL", "BE", "SI", "TC", "TI", "PB"),
  parse_dates = TRUE,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE
)

Arguments

Details

Accepted values for catalog are:

Use "ALL" as a shorthand for updating all the catalogs at a glance.

If the requested catalog is not cached bde_catalog_update() is invoked.

Value

A tibble object.

Source

Time-series bulk data download.

See Also

Other catalog: bde_catalog_search(), bde_catalog_update()

Examples

bde_catalog_load("TI", verbose = TRUE)

Search BdE catalogs

Description

Search for keywords on the time-series catalogs.

Usage

bde_catalog_search(pattern, ...)

Arguments

Details

Note: BdE files are currently provided only in Spanish. Therefore, search terms should be provided in Spanish to obtain search results.

This function uses base::grep() function for finding matches on the catalogs. You can pass regular expressions to broaden the search.

Value

A tibble object with the results of the query.

See Also

bde_catalog_load(), base::regex

Other catalog: bde_catalog_load(), bde_catalog_update()

Examples

# Simple search (needs to be in Spanish)
# !! PIB [es] == GDP [en]

bde_catalog_search("PIB")

# More complex - Single
bde_catalog_search("Francia(.*)PIB")

# Even more complex - Double
bde_catalog_search("Francia(.*)PIB|Italia(.*)PIB|Alemania(.*)PIB")

Update BdE catalogs

Description

Update the time-series catalogs provided by BdE.

Usage

bde_catalog_update(
  catalog = c("ALL", "BE", "SI", "TC", "TI", "PB"),
  cache_dir = NULL,
  verbose = FALSE
)

Arguments

Details

Accepted values for catalog are:

Use "ALL" as a shorthand for updating all the catalogs at a glance.

Value

None. Downloads the catalog file(s) to the local machine.

Source

Time-series bulk data download.

See Also

Other catalog: bde_catalog_load(), bde_catalog_search()

Examples

bde_catalog_update("TI", verbose = TRUE)

Check access to BdE

Description

Check if R can access resources at https://www.bde.es/webbe/en/estadisticas/recursos/descargas-completas.html.

Usage

bde_check_access()

Value

A logical value.

Examples

bde_check_access()

Database of selected macroeconomic indicators

Description

Minimal metadata of the selected macroeconomic indicators included in helper functions of tidyBdE (see bde_indicators). Full metadata can be accessed via bde_catalog_load()

Format

A tibble of 9 rows and 7 columns with the following fields:

tidyBdE_fun

Function name, see bde_indicators.

Numero_secuencial

Series code, see bde_series_load().

Descripcion_de_la_serie

Description of the series in Spanish.

Fecha_de_la_primera_observacion

Starting date of the indicator.

Fecha_de_la_ultima_observacion

Most recent date available.

Fuente

Data source.

Details

See Also

Other indicators: bde_indicators

Examples

data("bde_ind_db")
bde_ind_db

Relevant Indicators of Spain

Description

Set of helper functions for downloading some of the most relevant macroeconomic indicators of Spain. Metadata available in bde_ind_db.

Usage

bde_ind_gdp_var(series_label = "GDP_YoY", ...)

bde_ind_unemployment_rate(series_label = "Unemployment_Rate", ...)

bde_ind_euribor_12m_monthly(series_label = "Euribor_12M_Monthly", ...)

bde_ind_euribor_12m_daily(series_label = "Euribor_12M_Daily", ...)

bde_ind_cpi_var(series_label = "Consumer_price_index_YoY", ...)

bde_ind_ibex_monthly(series_label = "IBEX_index_month", ...)

bde_ind_ibex_daily(series_label = "IBEX_index_day", ...)

bde_ind_gdp_quarterly(series_label = "GDP_quarterly_value", ...)

bde_ind_population(series_label = "Population_Spain", ...)

Arguments

Details

These functions are convenient wrappers around bde_series_load() for specific series. Use ⁠verbose = TRUE, extract_metadata = TRUE⁠ to see the specification and the source.

Value

A tibble with the required series.

See Also

bde_series_load(), bde_catalog_search()

Other indicators: bde_ind_db

Examples

bde_ind_gdp_var()

Parse dates

Description

This function is tailored for the date formatting used in this package, so it may fail if used with other datasets. See Examples for checking which formats would be considered.

Date Formats

Usage

bde_parse_dates(dates_to_parse)

Arguments

Details

Tries to parse strings representing dates using as.Date()

Value

A Date object.

See Also

as.Date()

Examples

# Formats parsed
would_parse <- c(
  "02 FEB2019", "15 ABR 1890", "MAR 2020", "ENE2020",
  "2020", "12-1993", "01-02-2014", "01/02/1990"
)

parsed_ok <- bde_parse_dates(would_parse)

class(parsed_ok)

tibble::tibble(raw = would_parse, parsed = parsed_ok)

#-----------------------------------

# Formats not admitted
wont_parse <- c("JAN2001", "2010-01-12", "01 APR 2017", "01/31/1990")

parsed_fail <- bde_parse_dates(wont_parse)

class(parsed_fail)

tibble::tibble(raw = wont_parse, parsed = parsed_fail)

Load BdE full time-series files

Description

Load a full time-series file provided by BdE.

Usage

bde_series_full_load(
  series_csv,
  parse_dates = TRUE,
  parse_numeric = TRUE,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE,
  extract_metadata = FALSE
)

Arguments

Details

About BdE file naming

The series name is a positional code showing the location of the table. For example, table be_6_1 represents the Table 1, Chapter 6 of the Statistical Bulletin ("BE"). Although it is a unique value, it is subject to change (i.e. a new table is inserted before).

For that reason, the function bde_series_load() is more suitable for extracting specific time-series.

Value

A tibble with a field Date and the alias of the fields series as described on the catalogs. See bde_catalog_load().

Note

This function tries to coerce the columns to numbers. For some series a warning may be displayed if the parser fails. You can override the default behavior with parse_numeric = FALSE

See Also

Other series: bde_series_load()

Examples

# Metadata
bde_series_full_load("TI_1_1.csv", extract_metadata = TRUE)

# Data
bde_series_full_load("TI_1_1.csv")

Load a single BdE time-series

Description

The series alias is a positional code showing the location (column and/or row) of the series in the table. However, although it is unique, it is not a good candidate to be used as the series ID, as it is subject to change. If a series changes position in the table, its alias will also change.

To ensure series can still be identified, even after these changes, they are assigned a sequential number (referred to as series_code in this function).

Note that a single series may appear in different tables, so it can have several aliases. If you need to search by alias, use bde_series_full_load().

Usage

bde_series_load(
  series_code,
  series_label = NULL,
  out_format = "wide",
  parse_dates = TRUE,
  parse_numeric = TRUE,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE,
  extract_metadata = FALSE
)

Arguments

Details

Load a single time-series provided by BdE.

Value

A tibble with a field Date:

• With out_format = "wide", each series is presented in a separate column with the name defined by series_label.

• With out_format = "long", the tibble has two additional columns:

  • serie_name with the label of each series.

  • serie_value with the corresponding value.

"wide" format is more suitable for exporting to a .csv file while "long" format is more suitable for creating plots with ggplot2::ggplot(). See also tidyr::pivot_longer() and tidyr::pivot_wider().

Note

This function attempts to coerce the columns to numbers. For some series, a warning may be displayed if the parsing fails.

See Also

bde_catalog_load(), bde_catalog_search(), bde_indicators()

Other series: bde_series_full_load()

Examples

# Metadata
bde_series_load(573234, verbose = TRUE, extract_metadata = TRUE)

# Data
bde_series_load(573234, extract_metadata = FALSE)

# Vectorized
bde_series_load(c(573234, 573214),
  series_label = c("US/EUR", "GBP/EUR"),
  extract_metadata = TRUE
)

wide <- bde_series_load(c(573234, 573214),
  series_label = c("US/EUR", "GBP/EUR")
)

# Wide format
wide


# Long format
long <- bde_series_load(c(573234, 573214),
  series_label = c("US/EUR", "GBP/EUR"),
  out_format = "long"
)

long


# Use with ggplot
library(ggplot2)


ggplot(long, aes(Date, serie_value)) +
  geom_line(aes(group = serie_name, color = serie_name)) +
  scale_color_bde_d() +
  theme_tidybde()

BdE color palettes

Description

Custom palettes based on the publications of BdE. These are manual palettes with a maximum of 6 colors.

Usage

bde_tidy_palettes(
  n = 6,
  palette = c("bde_vivid_pal", "bde_rose_pal", "bde_qual_pal"),
  alpha = NULL,
  rev = FALSE
)

Arguments

Value

A vector of colors.

See Also

Other bde_plot: scales_bde, theme_tidybde()

Examples

# BdE vivid pal
scales::show_col(bde_tidy_palettes(palette = "bde_vivid_pal"),
  labels = FALSE
)

# BdE rose pal
scales::show_col(bde_tidy_palettes(palette = "bde_rose_pal"),
  labels = FALSE
)

# BdE qual pal
scales::show_col(bde_tidy_palettes(palette = "bde_qual_pal"),
  labels = FALSE
)

BdE superseded palettes

Description

These functions have been superseded; see bde_tidy_palettes() as a replacement.

Custom palettes based on the publications of BdE.

Usage

bde_vivid_pal(...)

bde_rose_pal(...)

Arguments

Value

A palette of colors.

Examples

# BdE vivid pal
scales::show_col(bde_vivid_pal()(6), labels = FALSE)

# BdE rose pal
scales::show_col(bde_rose_pal()(6), labels = FALSE)

BdE scales for ggplot2

Description

Scales to be used with the ggplot2 package. Discrete palettes are named ⁠scale_*_bde_d⁠, while continuous palettes are named ⁠scale_*_bde_c⁠.

Usage

scale_color_bde_d(
  palette = c("bde_vivid_pal", "bde_rose_pal", "bde_qual_pal"),
  alpha = NULL,
  rev = FALSE,
  ...
)

scale_fill_bde_d(
  palette = c("bde_vivid_pal", "bde_rose_pal", "bde_qual_pal"),
  alpha = NULL,
  rev = FALSE,
  ...
)

scale_color_bde_c(
  palette = c("bde_rose_pal", "bde_vivid_pal", "bde_qual_pal"),
  alpha = NULL,
  rev = FALSE,
  guide = "colorbar",
  ...
)

scale_fill_bde_c(
  palette = c("bde_rose_pal", "bde_vivid_pal", "bde_qual_pal"),
  alpha = NULL,
  rev = FALSE,
  guide = "colorbar",
  ...
)

Arguments

Value

A ggplot2 color scale.

See Also

ggplot2::discrete_scale(), ggplot2::continuous_scale()

Other bde_plot: bde_tidy_palettes(), theme_tidybde()

Examples

library(ggplot2)

set.seed(596)
txsamp <- subset(
  txhousing,
  city %in% c(
    "Houston", "Fort Worth",
    "San Antonio", "Dallas", "Austin"
  )
)

ggplot(txsamp, aes(x = sales, y = median)) +
  geom_point(aes(colour = city)) +
  scale_color_bde_d() +
  theme_minimal()


ggplot(txsamp, aes(x = sales, y = median)) +
  geom_point(aes(colour = city)) +
  scale_color_bde_d("bde_qual_pal") +
  theme_minimal()

BdE ggplot2 theme

Description

A custom ggplot2 theme based on the publications of BdE.

Usage

theme_tidybde(...)

Arguments

Details

Theme based on ggplot2::theme_classic().

Value

A ggplot2 theme().

See Also

ggplot2::theme_classic()

Other bde_plot: bde_tidy_palettes(), scales_bde

Examples

library(ggplot2)
library(dplyr)
library(tidyr)

series_TC <- bde_series_full_load("TC_1_1.csv")

# If download was OK then plot
if (nrow(series_TC) > 0) {
  series_TC <- series_TC[c(1, 2)]

  series_TC_pivot <- series_TC |>
    filter(
      Date >= "2020-01-01" & Date <= "2020-12-31",
      !is.na(series_TC[[2]])
    )

  names(series_TC_pivot) <- c("x", "y")

  ggplot(series_TC_pivot, aes(x = x, y = y)) +
    geom_line(linewidth = 0.8, color = bde_tidy_palettes(n = 1)) +
    labs(
      title = "Title",
      subtitle = "Some metric",
      caption = "Bank of Spain"
    ) +
    theme_tidybde()
}