giscoR
An R API package that helps to retrieve data from Eurostat Geographic Information System of the Commission.
https://github.com/rOpenGov/giscoR
Category: Sustainable Development
Sub Category: Data Catalogs and Interfaces
Keywords
api-wrapper cran cran-r eurostat eurostat-data ggplot2 gis gisco r r-package ropengov rstats spatial thematic-maps
Keywords from Contributors
ropenspain spain
Last synced: about 6 hours ago
JSON representation
Repository metadata
Download geospatial data from GISCO API - Eurostat
- Host: GitHub
- URL: https://github.com/rOpenGov/giscoR
- Owner: rOpenGov
- License: gpl-3.0
- Created: 2020-09-23T19:40:44.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2026-02-24T19:01:47.000Z (4 days ago)
- Last Synced: 2026-02-24T23:40:07.203Z (3 days ago)
- Topics: api-wrapper, cran, cran-r, eurostat, eurostat-data, ggplot2, gis, gisco, r, r-package, ropengov, rstats, spatial, thematic-maps
- Language: R
- Homepage: https://ropengov.github.io/giscoR/
- Size: 181 MB
- Stars: 78
- Watchers: 2
- Forks: 1
- Open Issues: 3
- Releases: 21
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE
- Citation: CITATION.cff
- Codemeta: codemeta.json
README.md
giscoR
giscoR is an R package
that provides a simple interface to
GISCO data from Eurostat. It
allows you to download and work with global and European geospatial
datasets (such as country boundaries, NUTS regions, coastlines, and
labels) directly in R.
Key features
- Retrieve GISCO files for countries, regions, and administrative
units. - Access data at multiple resolutions:
60M,20M,10M,03M,
01M. - Choose from three projections: EPSG 4326, 3035, or 3857.
- Works seamlessly with sf objects for spatial analysis.
- Includes caching for faster repeated access.
Installation
Install giscoR from
CRAN:
install.packages("giscoR")
Check the docs of the developing version in
https://ropengov.github.io/giscoR/dev/.
You can install the development version of giscoR with:
# install.packages("pak")
pak::pak("rOpenGov/giscoR")
Alternatively, you can install giscoR via
r-universe:
install.packages(
"giscoR",
repos = c("https://ropengov.r-universe.dev", "https://cloud.r-project.org")
)
Quick Example
This script highlights some features of giscoR :
library(giscoR)
library(sf)
library(dplyr)
# Download The Netherlands boundaries at different resolutions
nl_all <- lapply(c("60", "20", "10", "03"), function(r) {
gisco_get_countries(country = "Netherlands", year = 2024, resolution = r) |>
mutate(res = paste0(r, "M"))
}) |>
bind_rows()
glimpse(nl_all)
#> Rows: 4
#> Columns: 13
#> $ CNTR_ID <chr> "NL", "NL", "NL", "NL"
#> $ CNTR_NAME <chr> "Nederland", "Nederland", "Nederland", "Nederland"
#> $ NAME_ENGL <chr> "Netherlands", "Netherlands", "Netherlands", "Netherlands"
#> $ NAME_FREN <chr> "Pays-Bas", "Pays-Bas", "Pays-Bas", "Pays-Bas"
#> $ ISO3_CODE <chr> "NLD", "NLD", "NLD", "NLD"
#> $ SVRG_UN <chr> "UN Member State", "UN Member State", "UN Member State", "UN…
#> $ CAPT <chr> "Amsterdam", "Amsterdam", "Amsterdam", "Amsterdam"
#> $ EU_STAT <chr> "T", "T", "T", "T"
#> $ EFTA_STAT <chr> "F", "F", "F", "F"
#> $ CC_STAT <chr> "F", "F", "F", "F"
#> $ NAME_GERM <chr> "Niederlande", "Niederlande", "Niederlande", "Niederlande"
#> $ geometry <MULTIPOLYGON [°]> MULTIPOLYGON (((7.208935 53..., MULTIPOLYGON (((7.202794 53.…
#> $ res <chr> "60M", "20M", "10M", "03M"
# Plot with ggplot2
library(ggplot2)
ggplot(nl_all) +
geom_sf(fill = "#AD1D25") +
facet_wrap(~res) +
labs(
title = "The Netherlands boundaries at different resolutions",
subtitle = "Year: 2024",
caption = gisco_attributions()
) +
theme_minimal()
Advanced Example: Thematic maps
This example shows a thematic map created with the ggplot2 package.
The data are obtained via the eurostat package. This follows the
work of Milos Popovic.
We start by extracting the corresponding geographic data:
library(giscoR)
library(dplyr)
library(eurostat)
library(ggplot2)
# Get sf objects
nuts3 <- gisco_get_nuts(
year = 2021,
epsg = 3035,
resolution = 10,
nuts_level = 3
)
# Get country lines (NUTS 0 level)
country_lines <- gisco_get_nuts(
year = 2021,
epsg = 3035,
resolution = 10,
spatialtype = "BN",
nuts_level = 0
)
We now download the data from Eurostat:
# Use eurostat
popdens <- get_eurostat("demo_r_d3dens") |>
filter(TIME_PERIOD == "2021-01-01")
Finally, we merge and manipulate the data to create the final plot:
# Merge data
nuts3_sf <- nuts3 |>
left_join(popdens, by = "geo")
# Breaks and labels
br <- c(0, 25, 50, 100, 200, 500, 1000, 2500, 5000, 10000, 30000)
labs <- prettyNum(br[-1], big.mark = ",")
# Label function used in the plot, mainly for NAs
labeller_plot <- function(x) {
ifelse(is.na(x), "No Data", x)
}
nuts3_sf <- nuts3_sf |>
# Cut with labels
mutate(values_cut = cut(values, br, labels = labs))
# Palette
pal <- hcl.colors(length(labs), "Lajolla")
# Plot
ggplot(nuts3_sf) +
geom_sf(aes(fill = values_cut), linewidth = 0, color = NA, alpha = 0.9) +
geom_sf(data = country_lines, col = "black", linewidth = 0.1) +
# Center in Europe: EPSG 3035
coord_sf(
xlim = c(2377294, 7453440),
ylim = c(1313597, 5628510)
) +
# Legends
scale_fill_manual(
values = pal,
# Label for NA
labels = labeller_plot,
drop = FALSE,
guide = guide_legend(direction = "horizontal", nrow = 1)
) +
# Theming
theme_void() +
# Theme
theme(
plot.title = element_text(
color = rev(pal)[2],
size = rel(1.5),
hjust = 0.5,
vjust = -6
),
plot.subtitle = element_text(
color = rev(pal)[2],
size = rel(1.25),
hjust = 0.5,
vjust = -10,
face = "bold"
),
plot.caption = element_text(color = "grey60", hjust = 0.5, vjust = 0),
legend.text = element_text(color = "grey20", hjust = .5),
legend.title = element_text(color = "grey20", hjust = .5),
legend.position = "bottom",
legend.title.position = "top",
legend.text.position = "bottom",
legend.key.height = unit(.5, "line"),
legend.key.width = unit(2.5, "line")
) +
# Annotate and labs
labs(
title = "Population density in 2021",
subtitle = "NUTS-3 level",
fill = "people per sq. kilometer",
caption = paste0(
"Source: Eurostat, ",
gisco_attributions(),
"\nBased on Milos Popovic's work"
)
)
Caching
Large datasets (e.g., LAU or high-resolution files) can exceed 50MB.
Use:
gisco_set_cache_dir("./path/to/location")
Files will be stored locally for faster access.
Contribute
Check the GitHub page for source
code.
Contributions are welcome:
- Use issue tracker for
feedback and bug reports. - Send pull requests
- Star us on the GitHub page
Citation
To cite ‘giscoR’ in publications use:
Hernangómez D (2026). giscoR: Download Map Data from GISCO API -
Eurostat. doi:10.32614/CRAN.package.giscoR
https://doi.org/10.32614/CRAN.package.giscoR,
https://ropengov.github.io/giscoR/.
A BibTeX entry for LaTeX users is
@Manual{R-giscoR,
title = {{giscoR}: Download Map Data from GISCO API - Eurostat},
doi = {10.32614/CRAN.package.giscoR},
author = {Diego Hernangómez},
year = {2026},
version = {1.0.1.9000},
url = {https://ropengov.github.io/giscoR/},
abstract = {Tools to download data from the GISCO (Geographic Information System of the Commission) Eurostat database <https://ec.europa.eu/eurostat/web/gisco>. Global and European map data available. This package is in no way officially related to or endorsed by Eurostat.},
}
General copyright
Eurostat’s general copyright notice and licence
policy
applies. Moreover, there are specific rules that apply to some of the
following datasets available for downloading. The download and use of
these data are subject to these rules being accepted. See our
administrative
units
and statistical
units
for more details.
Disclaimer
This package is neither affiliated with nor endorsed by Eurostat. The
authors are not responsible for any misuse of the data.
Citation (CITATION.cff)
# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
cff-version: 1.2.0
message: 'To cite package "giscoR" in publications use:'
type: software
license: GPL-3.0-only
title: 'giscoR: Download Map Data from GISCO API - Eurostat'
version: 1.0.1.9000
doi: 10.32614/CRAN.package.giscoR
identifiers:
- type: doi
value: 10.32614/CRAN.package.giscoR
abstract: Tools to download data from the GISCO (Geographic Information System of
the Commission) Eurostat database <https://ec.europa.eu/eurostat/web/gisco>. Global
and European map data available. This package is in no way officially related to
or endorsed by Eurostat.
authors:
- family-names: Hernangómez
given-names: Diego
email: diego.hernangomezherrero@gmail.com
orcid: https://orcid.org/0000-0001-8457-4658
preferred-citation:
type: manual
title: 'giscoR: Download Map Data from GISCO API - Eurostat'
authors:
- family-names: Hernangómez
given-names: Diego
email: diego.hernangomezherrero@gmail.com
orcid: https://orcid.org/0000-0001-8457-4658
doi: 10.32614/CRAN.package.giscoR
year: '2026'
version: 1.0.1.9000
url: https://ropengov.github.io/giscoR/
abstract: Tools to download data from the GISCO (Geographic Information System of
the Commission) Eurostat database <https://ec.europa.eu/eurostat/web/gisco>. Global
and European map data available. This package is in no way officially related
to or endorsed by Eurostat.
repository: https://CRAN.R-project.org/package=giscoR
repository-code: https://github.com/rOpenGov/giscoR
url: https://ropengov.github.io/giscoR/
contact:
- family-names: Hernangómez
given-names: Diego
email: diego.hernangomezherrero@gmail.com
orcid: https://orcid.org/0000-0001-8457-4658
keywords:
- ropengov
- r
- spatial
- api-wrapper
- rstats
- r-package
- eurostat
- gisco
- thematic-maps
- eurostat-data
- cran
- ggplot2
- gis
- cran-r
references:
- type: software
title: 'R: A Language and Environment for Statistical Computing'
notes: Depends
url: https://www.R-project.org/
authors:
- name: R Core Team
institution:
name: R Foundation for Statistical Computing
address: Vienna, Austria
year: '2026'
version: '>= 4.1'
- type: software
title: cli
abstract: 'cli: Helpers for Developing Command Line Interfaces'
notes: Imports
url: https://cli.r-lib.org
repository: https://CRAN.R-project.org/package=cli
authors:
- family-names: Csárdi
given-names: Gábor
email: gabor@posit.co
year: '2026'
doi: 10.32614/CRAN.package.cli
- type: software
title: countrycode
abstract: 'countrycode: Convert Country Names and Country Codes'
notes: Imports
url: https://vincentarelbundock.github.io/countrycode/
repository: https://CRAN.R-project.org/package=countrycode
authors:
- family-names: Arel-Bundock
given-names: Vincent
email: vincent.arel-bundock@umontreal.ca
orcid: https://orcid.org/0000-0003-2042-7063
year: '2026'
doi: 10.32614/CRAN.package.countrycode
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title: httr2
abstract: 'httr2: Perform HTTP Requests and Process the Responses'
notes: Imports
url: https://httr2.r-lib.org
repository: https://CRAN.R-project.org/package=httr2
authors:
- family-names: Wickham
given-names: Hadley
email: hadley@posit.co
year: '2026'
doi: 10.32614/CRAN.package.httr2
- type: software
title: jsonlite
abstract: 'jsonlite: A Simple and Robust JSON Parser and Generator for R'
notes: Imports
url: https://jeroen.r-universe.dev/jsonlite
repository: https://CRAN.R-project.org/package=jsonlite
authors:
- family-names: Ooms
given-names: Jeroen
email: jeroenooms@gmail.com
orcid: https://orcid.org/0000-0002-4035-0289
year: '2026'
doi: 10.32614/CRAN.package.jsonlite
- type: software
title: lifecycle
abstract: 'lifecycle: Manage the Life Cycle of your Package Functions'
notes: Imports
url: https://lifecycle.r-lib.org/
repository: https://CRAN.R-project.org/package=lifecycle
authors:
- family-names: Henry
given-names: Lionel
email: lionel@posit.co
- family-names: Wickham
given-names: Hadley
email: hadley@posit.co
orcid: https://orcid.org/0000-0003-4757-117X
year: '2026'
doi: 10.32614/CRAN.package.lifecycle
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abstract: 'rappdirs: Application Directories: Determine Where to Save Data, Caches,
and Logs'
notes: Imports
url: https://rappdirs.r-lib.org
repository: https://CRAN.R-project.org/package=rappdirs
authors:
- family-names: Ratnakumar
given-names: Sridhar
- family-names: Mick
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- family-names: Davis
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orcid: https://orcid.org/0000-0001-6341-4639
year: '2026'
doi: 10.32614/CRAN.package.rappdirs
version: '>= 0.3.0'
- type: software
title: sf
abstract: 'sf: Simple Features for R'
notes: Imports
url: https://r-spatial.github.io/sf/
repository: https://CRAN.R-project.org/package=sf
authors:
- family-names: Pebesma
given-names: Edzer
email: edzer.pebesma@uni-muenster.de
orcid: https://orcid.org/0000-0001-8049-7069
year: '2026'
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version: '>= 1.0.0'
- type: software
title: testthat
abstract: 'testthat: Unit Testing for R'
notes: Imports
url: https://testthat.r-lib.org
repository: https://CRAN.R-project.org/package=testthat
authors:
- family-names: Wickham
given-names: Hadley
email: hadley@posit.co
year: '2026'
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version: '>= 3.0.0'
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abstract: 'tibble: Simple Data Frames'
notes: Imports
url: https://tibble.tidyverse.org/
repository: https://CRAN.R-project.org/package=tibble
authors:
- family-names: Müller
given-names: Kirill
email: kirill@cynkra.com
orcid: https://orcid.org/0000-0002-1416-3412
- family-names: Wickham
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email: hadley@rstudio.com
year: '2026'
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- type: software
title: tools
abstract: 'R: A Language and Environment for Statistical Computing'
notes: Imports
authors:
- name: R Core Team
institution:
name: R Foundation for Statistical Computing
address: Vienna, Austria
year: '2026'
- type: software
title: utils
abstract: 'R: A Language and Environment for Statistical Computing'
notes: Imports
authors:
- name: R Core Team
institution:
name: R Foundation for Statistical Computing
address: Vienna, Austria
year: '2026'
- type: software
title: dplyr
abstract: 'dplyr: A Grammar of Data Manipulation'
notes: Suggests
url: https://dplyr.tidyverse.org
repository: https://CRAN.R-project.org/package=dplyr
authors:
- family-names: Wickham
given-names: Hadley
email: hadley@posit.co
orcid: https://orcid.org/0000-0003-4757-117X
- family-names: François
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orcid: https://orcid.org/0000-0002-2444-4226
- family-names: Henry
given-names: Lionel
- family-names: Müller
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- family-names: Vaughan
given-names: Davis
email: davis@posit.co
orcid: https://orcid.org/0000-0003-4777-038X
year: '2026'
doi: 10.32614/CRAN.package.dplyr
- type: software
title: eurostat
abstract: 'eurostat: Tools for Eurostat Open Data'
notes: Suggests
url: https://ropengov.github.io/eurostat/
repository: https://CRAN.R-project.org/package=eurostat
authors:
- family-names: Lahti
given-names: Leo
email: leo.lahti@iki.fi
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- family-names: Huovari
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- family-names: Kainu
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- family-names: Biecek
given-names: Przemyslaw
year: '2026'
doi: 10.32614/CRAN.package.eurostat
- type: software
title: ggplot2
abstract: 'ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics'
notes: Suggests
url: https://ggplot2.tidyverse.org
repository: https://CRAN.R-project.org/package=ggplot2
authors:
- family-names: Wickham
given-names: Hadley
email: hadley@posit.co
orcid: https://orcid.org/0000-0003-4757-117X
- family-names: Chang
given-names: Winston
orcid: https://orcid.org/0000-0002-1576-2126
- family-names: Henry
given-names: Lionel
- family-names: Pedersen
given-names: Thomas Lin
email: thomas.pedersen@posit.co
orcid: https://orcid.org/0000-0002-5147-4711
- family-names: Takahashi
given-names: Kohske
- family-names: Wilke
given-names: Claus
orcid: https://orcid.org/0000-0002-7470-9261
- family-names: Woo
given-names: Kara
orcid: https://orcid.org/0000-0002-5125-4188
- family-names: Yutani
given-names: Hiroaki
orcid: https://orcid.org/0000-0002-3385-7233
- family-names: Dunnington
given-names: Dewey
orcid: https://orcid.org/0000-0002-9415-4582
- family-names: Brand
given-names: Teun
name-particle: van den
orcid: https://orcid.org/0000-0002-9335-7468
year: '2026'
doi: 10.32614/CRAN.package.ggplot2
version: '>= 3.5.0'
- type: software
title: knitr
abstract: 'knitr: A General-Purpose Package for Dynamic Report Generation in R'
notes: Suggests
url: https://yihui.org/knitr/
repository: https://CRAN.R-project.org/package=knitr
authors:
- family-names: Xie
given-names: Yihui
email: xie@yihui.name
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year: '2026'
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- type: software
title: quarto
abstract: 'quarto: R Interface to ''Quarto'' Markdown Publishing System'
notes: Suggests
url: https://quarto-dev.github.io/quarto-r/
repository: https://CRAN.R-project.org/package=quarto
authors:
- family-names: Allaire
given-names: JJ
email: jj@posit.co
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- type: software
title: withr
abstract: 'withr: Run Code ''With'' Temporarily Modified Global State'
notes: Suggests
url: https://withr.r-lib.org
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- family-names: Henry
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- family-names: Ushey
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year: '2026'
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Owner metadata
- Name: rOpenGov
- Login: rOpenGov
- Email:
- Kind: organization
- Description: Open government data analytics with R
- Website: http://ropengov.org
- Location: Finland
- Twitter: ropengov
- Company:
- Icon url: https://avatars.githubusercontent.com/u/5463092?v=4
- Repositories: 60
- Last ynced at: 2024-03-26T05:43:34.767Z
- Profile URL: https://github.com/rOpenGov
GitHub Events
Total
- Release event: 2
- Delete event: 8
- Pull request event: 21
- Issues event: 13
- Watch event: 3
- Issue comment event: 20
- Push event: 177
- Pull request review event: 2
- Create event: 16
Last Year
- Release event: 1
- Delete event: 5
- Pull request event: 16
- Issues event: 6
- Watch event: 1
- Issue comment event: 11
- Push event: 150
- Pull request review event: 2
- Create event: 12
Committers metadata
Last synced: 2 days ago
Total Commits: 1,003
Total Committers: 7
Avg Commits per committer: 143.286
Development Distribution Score (DDS): 0.227
Commits in past year: 177
Committers in past year: 3
Avg Commits per committer in past year: 59.0
Development Distribution Score (DDS) in past year: 0.271
| Name | Commits | |
|---|---|---|
| dieghernan | d****o@g****m | 775 |
| github-actions[bot] | 4****] | 102 |
| GitHub Actions | a****s@g****m | 90 |
| imgbot[bot] | 3****] | 20 |
| dependabot[bot] | 4****] | 10 |
| ImgBotApp | I****p@g****m | 4 |
| dieghernan | d****o@g****m | 2 |
Committer domains:
- github.com: 1
Issue and Pull Request metadata
Last synced: 3 days ago
Total issues: 46
Total pull requests: 79
Average time to close issues: 21 days
Average time to close pull requests: 18 days
Total issue authors: 18
Total pull request authors: 3
Average comments per issue: 1.33
Average comments per pull request: 0.97
Merged pull request: 55
Bot issues: 3
Bot pull requests: 52
Past year issues: 9
Past year pull requests: 8
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 19 days
Past year issue authors: 5
Past year pull request authors: 3
Past year average comments per issue: 0.56
Past year average comments per pull request: 2.0
Past year merged pull request: 5
Past year bot issues: 2
Past year bot pull requests: 5
Top Issue Authors
- dieghernan (24)
- github-actions[bot] (3)
- ColinFay (2)
- dominicroye (2)
- hannesaddec (2)
- elijahrona (1)
- RemiDumas (1)
- richardtc (1)
- martinhulenyi (1)
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Top Pull Request Authors
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- dieghernan (27)
- dependabot[bot] (9)
Top Issue Labels
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- bug (3)
- documentation (3)
- enhancement (2)
- wontfix (1)
- bot (1)
Top Pull Request Labels
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- enhancement (2)
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Package metadata
- Total packages: 3
-
Total downloads:
- cran: 7,716 last-month
- Total dependent packages: 3 (may contain duplicates)
- Total dependent repositories: 4 (may contain duplicates)
- Total versions: 62
- Total maintainers: 1
proxy.golang.org: github.com/rOpenGov/giscoR
- Homepage:
- Documentation: https://pkg.go.dev/github.com/rOpenGov/giscoR#section-documentation
- Licenses: gpl-3.0
- Latest release: v1.0.1 (published about 1 month ago)
- Last Synced: 2026-02-25T03:02:07.862Z (3 days ago)
- Versions: 21
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 5.375%
- Stargazers count: 5.666%
- Dependent repos count: 5.736%
- Average: 7.246%
- Forks count: 12.206%
proxy.golang.org: github.com/ropengov/giscor
- Homepage:
- Documentation: https://pkg.go.dev/github.com/ropengov/giscor#section-documentation
- Licenses: gpl-3.0
- Latest release: v1.0.1 (published about 1 month ago)
- Last Synced: 2026-02-25T03:02:07.536Z (3 days ago)
- Versions: 21
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 5.375%
- Stargazers count: 5.666%
- Dependent repos count: 5.736%
- Average: 7.246%
- Forks count: 12.206%
cran.r-project.org: giscoR
Download Map Data from GISCO API - Eurostat
- Homepage: https://ropengov.github.io/giscoR/
- Documentation: http://cran.r-project.org/web/packages/giscoR/giscoR.pdf
- Licenses: GPL-3
- Latest release: 1.0.1 (published about 1 month ago)
- Last Synced: 2026-02-25T03:02:06.037Z (3 days ago)
- Versions: 20
- Dependent Packages: 3
- Dependent Repositories: 4
- Downloads: 7,716 Last month
-
Rankings:
- Stargazers count: 6.098%
- Downloads: 8.456%
- Dependent repos count: 14.751%
- Average: 14.966%
- Dependent packages count: 17.568%
- Forks count: 27.959%
- Maintainers (1)
Dependencies
- R >= 3.6.0 depends
- countrycode >= 1.2.0 imports
- geojsonsf >= 2.0.0 imports
- rappdirs >= 0.3.0 imports
- sf >= 0.9.0 imports
- utils * imports
- eurostat * suggests
- ggplot2 >= 3.0.0 suggests
- knitr * suggests
- lwgeom >= 0.2 suggests
- rmarkdown * suggests
- testthat >= 3.0.0 suggests
- actions/checkout v4 composite
- dieghernan/cff-validator main composite
- actions/checkout v4 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
- actions/checkout v4 composite
- dieghernan/cran-status-check v1 composite
- actions/checkout v4 composite
- github/codeql-action/upload-sarif v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- ropensci-review-tools/pkgcheck-action main composite
- actions/checkout v4 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- actions/checkout v4 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- actions/checkout v4 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- actions/checkout v4 composite
- actions/upload-artifact v3 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- actions/checkout v4 composite
- r-lib/actions/setup-r v1 composite
- r-lib/actions/setup-r-dependencies v1 composite
- actions/checkout v4 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
- easimon/wipe-cache main composite
Score: 15.292446947276156