Movatterモバイル変換

tidyBdE

tidyBdE is an API package that helps to retrievedata fromBancode España. The data is returned as atibble and thepackage tries to guess the format of every time-series (dates,characters and numbers).

Installation

InstalltidyBdE fromCRAN:

install.packages("tidyBdE")

You can install the developing version oftidyBdEwith:

remotes::install_github("ropenspain/tidyBdE")

Alternatively, you can install the developing version oftidyBdE using ther-universe:

# Install tidyBdE in R:install.packages("tidyBdE",repos =c("https://ropenspain.r-universe.dev","https://cloud.r-project.org"))

Examples

Banco de España (BdE) provides several time-series,either produced by the institution itself or compiled for anothersources, asEurostat orINE.

The basic entry point for searching time-series are the catalogs(indexes) of information. You can search any series byname:

library(tidyBdE)# Load tidyverse for better handlinglibrary(ggplot2)library(dplyr)library(tidyr)# Search GBP on "TC" (exchange rate) catalogXR_GBP<-bde_catalog_search("GBP",catalog ="TC")XR_GBP%>%select(Numero_secuencial, Descripcion_de_la_serie)%>%# To table on document  knitr::kable()

Note that BdE files are only provided in Spanish, for thetime being, the organism is working on the English version. Bynow, search terms should be provided in Spanish in order to get searchresults.

After we have found our series, we can load the series for theGBP/EUR exchange rate using the sequential number reference(Numero_Secuencial) as:

seq_number<- XR_GBP%>%# First recordslice(1)%>%# Get idselect(Numero_secuencial)%>%# Convert to numas.double()# Extract seriestime_series<-bde_series_load(seq_number,series_label ="EUR_GBP_XR")%>%filter(Date>="2010-01-01"& Date<="2020-12-31")%>%drop_na()

Plots

The package also provides a customggplot2 themebased on the publications of BdE:

ggplot(time_series,aes(x = Date,y = EUR_GBP_XR))+geom_line(colour =bde_tidy_palettes(n =1))+geom_smooth(method ="gam",colour =bde_tidy_palettes(n =2)[2])+labs(title ="EUR/GBP Exchange Rate (2010-2020)",subtitle ="%",caption ="Source: BdE"  )+geom_vline(xintercept =as.Date("2016-06-23"),linetype ="dotted"  )+geom_label(aes(x =as.Date("2016-06-23"),y = .95,label ="Brexit"  ))+coord_cartesian(ylim =c(0.7,1))+theme_tidybde()

The package provides also several “shortcut” functions for aselection of the most relevant macroeconomic series, so there is no needto look for them in advance:

# Data in "long" formatplotseries<-bde_ind_gdp_var("GDP YoY",out_format ="long")%>%bind_rows(bde_ind_unemployment_rate("Unemployment Rate",out_format ="long")  )%>%drop_na()%>%filter(Date>="2010-01-01"& Date<="2019-12-31")ggplot(plotseries,aes(x = Date,y = serie_value))+geom_line(aes(color = serie_name),linewidth =1)+labs(title ="Spanish Economic Indicators (2010-2019)",subtitle ="%",caption ="Source: BdE"  )+theme_tidybde()+scale_color_bde_d(palette ="bde_vivid_pal")# Custom palette on the package

Palettes

Two custom palettes, based on the used by BdE on some publicationsare available.

Those palettes can be applied to aggplot2 using somecustom utils included on the package (seehelp("scale_color_bde_d", package = "tidyBdE")).

A note on caching

You can usetidyBdE to create your own localrepository at a given local directory passing the following option:

options(bde_cache_dir ="./path/to/location")

When this option is set,tidyBdE would look for thecached file on thebde_cache_dir directory and it will loadit, speeding up the process.

It is possible to update the data (i.e. after every monthly orquarterly data release) with the following commands:

bde_catalog_update()# On most of the functions using the option update_cache = TRUEbde_series_load("SOME ID",update_cache =TRUE)

Disclaimer

This package is in no way sponsored endorsed or administered by Bancode España.

Citation

H. Herrero D (2025).tidyBdE: Download Data from Bank of Spain.doi:10.32614/CRAN.package.tidyBdE,https://ropenspain.github.io/tidyBdE/.

A BibTeX entry for LaTeX users is

@Manual{R-tidyBdE,  title = {{tidyBdE}: Download Data from Bank of Spain},  doi = {10.32614/CRAN.package.tidyBdE},  author = {Diego {H. Herrero}},  year = {2025},  version = {0.4.0},  url = {https://ropenspain.github.io/tidyBdE/},  abstract = {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.},}