tidyBdE

R package that helps to retrieve data from Banco de España

https://github.com/ropenspain/tidybde

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
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.zenodo.json file
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DOI references
Found 3 DOI reference(s) in README
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Academic publication links
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Committers with academic emails
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Institutional organization owner
○
JOSS paper metadata
○
Scientific vocabulary similarity
Low similarity (17.3%) to scientific vocabulary

Keywords

api bde cran ggplot2 macroeconomics r r-package ropenspain rstats series-data spain

Keywords from Contributors

hack standardization interpretability pde autograder aemet actions forecast-api correlates-of-war meshing

Last synced: 4 months ago · JSON representation ·

Repository

R package that helps to retrieve data from Banco de España

Basic Info

Host: GitHub
Owner: rOpenSpain
License: gpl-3.0
Language: R
Default Branch: main
Homepage: https://ropenspain.github.io/tidyBdE/
Size: 88 MB

Statistics

Stars: 12
Watchers: 1
Forks: 2
Open Issues: 3
Releases: 19

Topics

api bde cran ggplot2 macroeconomics r r-package ropenspain rstats series-data spain

Created over 4 years ago · Last pushed 4 months ago

Metadata Files

Readme Changelog Contributing License Citation Codemeta

README.Rmd

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  tidy = "styler",
  comment = "#>",
  fig.path = "man/figures/README-",
  warning = FALSE,
  message = FALSE,
  dev = "ragg_png",
  dpi = 300,
  out.width = "100%"
)
```

# tidyBdE 



[![rOS-badge](https://ropenspain.github.io/rostemplate/reference/figures/ropenspain-badge.svg)](https://ropenspain.es/)
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[![Project Status: Active -- The project has reached a stable, usable state and
is being actively
developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)



**tidyBdE** is an API package that helps to retrieve data from [Banco de
España](https://www.bde.es/webbe/en/estadisticas/recursos/descargas-completas.html).
The data is returned as a [`tibble`](https://tibble.tidyverse.org/) and the
package tries to guess the format of every time-series (dates, characters and
numbers).

## Installation

Install **tidyBdE** from [**CRAN**](https://CRAN.R-project.org/package=tidyBdE):

```{r, eval = FALSE}
install.packages("tidyBdE")
```

You can install the developing version of **tidyBdE** with:

```{r, eval = FALSE}
remotes::install_github("ropenspain/tidyBdE")
```

Alternatively, you can install the developing version of **tidyBdE** using the
[r-universe](https://ropenspain.r-universe.dev/tidyBdE):

```{r, eval = FALSE}
# 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 another sources, as
[Eurostat](https://ec.europa.eu/eurostat) or [INE](https://www.ine.es/).

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

```{r search, message=FALSE}
library(tidyBdE)

# Load tidyverse for better handling
library(ggplot2)
library(dplyr)
library(tidyr)


# Search GBP on "TC" (exchange rate) catalog
XR_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 the time being**, the
organism is working on the English version. By now, search terms should be
provided in Spanish in order to get search results.

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

```{r find}
seq_number <- XR_GBP %>%
  # First record
  slice(1) %>%
  # Get id
  select(Numero_secuencial) %>%
  # Convert to num
  as.double()

# Extract series
time_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 custom **ggplot2** theme based on the publications
of BdE:

```{r chart, fig.asp=0.7, fig.alt="EUR/GBP Exchange Rate (2010-2020)"}
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 a selection of the
most relevant macroeconomic series, so there is no need to look for them in
advance:

```{r macroseries, fig.asp=0.7, fig.alt="Spanish Economic Indicators (2010-2019)"}
# Data in "long" format

plotseries <- 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 publications are
available.

Those palettes can be applied to a `ggplot2` using some custom utils included on
the package (see `help("scale_color_bde_d", package = "tidyBdE")`).

### A note on caching

You can use **tidyBdE** to create your own local repository at a given local
directory passing the following option:

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

When this option is set, **tidyBdE** would look for the cached file on the
`bde_cache_dir` directory and it will load it, speeding up the process.

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

```{r, eval = FALSE}
bde_catalog_update()

# On most of the functions using the option update_cache = TRUE

bde_series_load("SOME ID", update_cache = TRUE)
```

## Disclaimer

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

## Citation

```{r echo=FALSE, results='asis'}
print(citation("tidyBdE"), style = "html")
```

A BibTeX entry for LaTeX users is

```{r echo=FALSE, comment=""}
toBibtex(citation("tidyBdE"))
```

Owner

Name: rOpenSpain
Login: rOpenSpain
Kind: organization
Email: hola@ropenspain.es
Location: Spain

Website: http://ropenspain.es
Repositories: 21
Profile: https://github.com/rOpenSpain

rOpenSci is our form, Spanish public data our matter

Citation (CITATION.cff)

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# See also: https://docs.ropensci.org/cffr/
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  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'.
authors:
- family-names: H. Herrero
  given-names: Diego
  email: dev.dieghernan@gmail.com
  orcid: https://orcid.org/0000-0001-8457-4658
preferred-citation:
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  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.
repository: https://CRAN.R-project.org/package=tidyBdE
repository-code: https://github.com/rOpenSpain/tidyBdE
url: https://ropenspain.github.io/tidyBdE/
contact:
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  given-names: Diego
  email: dev.dieghernan@gmail.com
  orcid: https://orcid.org/0000-0001-8457-4658
keywords:
- api
- bde
- cran
- ggplot2
- macroeconomics
- r
- r-package
- ropenspain
- rstats
- series-data
- spain
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  - family-names: Pedersen
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  - family-names: Brand
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}

GitHub Events

Total

Create event: 5
Issues event: 3
Release event: 2
Delete event: 2
Issue comment event: 2
Push event: 37
Pull request event: 4

Last Year

Create event: 5
Issues event: 3
Release event: 2
Delete event: 2
Issue comment event: 2
Push event: 37
Pull request event: 4

Committers

Last synced: almost 2 years ago

All Time

Total Commits: 238
Total Committers: 5
Avg Commits per committer: 47.6
Development Distribution Score (DDS): 0.164

Past Year

Commits: 35
Committers: 3
Avg Commits per committer: 11.667
Development Distribution Score (DDS): 0.4

Top Committers

Name	Email	Commits
Diego H	d**o@g**m	199
GitHub Actions	a**s@g**m	23
github-actions[bot]	4****]	11
dependabot[bot]	4****]	4
ImgBotApp	I**p@g**m	1

Committer Domains (Top 20 + Academic)

github.com: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 26
Total pull requests: 26
Average time to close issues: 12 days
Average time to close pull requests: 1 day
Total issue authors: 3
Total pull request authors: 2
Average comments per issue: 0.42
Average comments per pull request: 0.58
Merged pull requests: 24
Bot issues: 1
Bot pull requests: 7

Past Year

Issues: 2
Pull requests: 3
Average time to close issues: 2 months
Average time to close pull requests: 3 days
Issue authors: 1
Pull request authors: 1
Average comments per issue: 0.0
Average comments per pull request: 1.0
Merged pull requests: 3
Bot issues: 0
Bot pull requests: 3

View more stats

Top Authors

Issue Authors

dieghernan (22)
coforfe (2)
github-actions[bot] (1)

Pull Request Authors

dieghernan (21)
dependabot[bot] (7)

Top Labels

Issue Labels

enhancement (2) documentation (1) dependencies (1)

Pull Request Labels

dependencies (7)

Packages

Total packages: 1
Total downloads:
- cran 673 last-month
Total docker downloads: 41,971

Total dependent packages: 0
Total dependent repositories: 0
Total versions: 19
Total maintainers: 1

cran.r-project.org: tidyBdE

Download Data from Bank of Spain

Homepage: https://ropenspain.github.io/tidyBdE/
Documentation: http://cran.r-project.org/web/packages/tidyBdE/tidyBdE.pdf
License: GPL (≥ 3)
Latest release: 0.4.0
published 6 months ago

Versions: 19
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 673 Last month
Docker Downloads: 41,971

Rankings

Forks count: 17.8%

Stargazers count: 21.1%

Average: 26.2%

Downloads: 26.9%

Dependent packages count: 29.8%

Dependent repos count: 35.5%

Maintainers (1)

dev.dieghernan@gmail.com

Last synced: 4 months ago

Dependencies

DESCRIPTION cran

R >= 3.6.0 depends
dplyr >= 0.7.0 imports
ggplot2 >= 3.3.0 imports
readr >= 1.0.0 imports
scales >= 1.1.0 imports
tibble >= 3.0.0 imports
utils * imports
knitr * suggests
rmarkdown * suggests
testthat >= 3.0.0 suggests
tidyverse >= 1.3.0 suggests

.github/workflows/cff-validator.yml actions

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dieghernan/cff-validator main composite

.github/workflows/check-full.yaml actions

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r-lib/actions/check-r-package v2 composite
r-lib/actions/setup-pandoc v2 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

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r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

.github/workflows/pkgdown-gh-pages-clean.yaml actions

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r-lib/actions/setup-r-dependencies v2 composite

.github/workflows/rostemplate-gh-pages.yaml actions

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r-lib/actions/setup-pandoc v2 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

.github/workflows/test-coverage.yaml actions

actions/checkout v3 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

.github/workflows/update-citation-cff.yaml actions

actions/checkout v3 composite
r-lib/actions/setup-r v2 composite
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.github/workflows/update-docs.yaml actions

actions/checkout v3 composite
r-lib/actions/check-r-package v2 composite
r-lib/actions/setup-pandoc v2 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite