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

transformer productivity simulations municipalities provinces route geocoding reporting ram projects

Last synced: about 4 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 4 years ago)
• Default Branch: main
• Last Pushed: 2025-03-26T16:50:57.000Z (about 1 month ago)
• Last Synced: 2025-04-10T15:15:04.241Z (20 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: 124 MB
• Stars: 75
• Watchers: 3
• Forks: 1
• Open Issues: 1
• Releases: 19
• Metadata Files:
  • Readme: README.Rmd
  • Changelog: NEWS.md
  • Contributing: CONTRIBUTING.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Citation: CITATION.cff
  • Codemeta: codemeta.json

README.Rmd

          ---
output: github_document
bibliography: inst/REFERENCES.bib
link-citations: yes
---



```{r, include = FALSE}
knitr::opts_knit$set(
  progress = TRUE,
  base.url = "https://raw.githubusercontent.com/ropengov/giscoR/main/"
)

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

# giscoR 



[![rOG-badge](https://ropengov.github.io/rogtemplate/reference/figures/ropengov-badge.svg)](https://ropengov.org/)
[![CRAN
status](https://www.r-pkg.org/badges/version/giscoR)](https://CRAN.R-project.org/package=giscoR)
[![CRAN
results](https://badges.cranchecks.info/worst/giscoR.svg)](https://cran.r-project.org/web/checks/check_results_giscoR.html)
[![Downloads](https://cranlogs.r-pkg.org/badges/giscoR)](https://CRAN.R-project.org/package=giscoR)
[![r-universe](https://ropengov.r-universe.dev/badges/giscoR)](https://ropengov.r-universe.dev/giscoR)
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[![R-hub](https://github.com/rOpenGov/giscoR/actions/workflows/rhub.yaml/badge.svg)](https://github.com/rOpenGov/giscoR/actions/workflows/rhub.yaml)
[![codecov](https://codecov.io/gh/ropengov/giscoR/branch/main/graph/badge.svg)](https://app.codecov.io/gh/ropengov/giscoR)
[![CodeFactor](https://www.codefactor.io/repository/github/ropengov/giscor/badge)](https://www.codefactor.io/repository/github/ropengov/giscor)
[![DOI](https://img.shields.io/badge/DOI-10.32614/CRAN.package.giscoR-blue)](https://doi.org/10.32614/CRAN.package.giscoR)
[![Project Status:
Active](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)



[**giscoR**](https://ropengov.github.io/giscoR//) is an API package that helps
to retrieve data from [Eurostat - GISCO (the Geographic Information System of
the COmmission)](https://ec.europa.eu/eurostat/web/gisco). It also provides some
lightweight data sets ready to use without downloading.

[GISCO](https://ec.europa.eu/eurostat/web/gisco) is a geospatial open data
repository including several data sets as countries, coastal lines, labels or
[NUTS levels](https://ec.europa.eu/eurostat/web/regions-and-cities/overview).
The data sets are usually provided at several resolution levels
(60M/20M/10M/03M/01M) and in 3 different projections (4326/3035/3857).

Note that the package does not provide metadata on the downloaded files, the
information is available on the [API
webpage](https://gisco-services.ec.europa.eu/distribution/v2/).

Full site with examples and vignettes on 

## Installation

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

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

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

```{r, eval=FALSE}
remotes::install_github("rOpenGov/giscoR")
```

Alternatively, you can install **giscoR** using the
[r-universe](https://ropengov.r-universe.dev/giscoR):

```{r, eval=FALSE}
install.packages("giscoR",
  repos = c("https://ropengov.r-universe.dev", "https://cloud.r-project.org")
)
```

## Usage

This script highlights some features of **giscoR** :

```{r example}
library(giscoR)
library(sf)
library(dplyr)

# Different resolutions
DNK_res60 <- gisco_get_countries(resolution = "60", country = "DNK") %>%
  mutate(res = "60M")
DNK_res20 <-
  gisco_get_countries(resolution = "20", country = "DNK") %>%
  mutate(res = "20M")
DNK_res10 <-
  gisco_get_countries(resolution = "10", country = "DNK") %>%
  mutate(res = "10M")
DNK_res03 <-
  gisco_get_countries(resolution = "03", country = "DNK") %>%
  mutate(res = "03M")


DNK_all <- bind_rows(DNK_res60, DNK_res20, DNK_res10, DNK_res03)

# Plot ggplot2

library(ggplot2)

ggplot(DNK_all) +
  geom_sf(fill = "#c8102e") +
  facet_wrap(vars(res)) +
  theme_minimal()


# Labels and Lines available

labs <- gisco_get_countries(
  spatialtype = "LB",
  region = "Africa",
  epsg = "3857"
)

coast <- gisco_get_countries(
  spatialtype = "COASTL",
  epsg = "3857"
)

# For zooming
afr_bbox <- st_bbox(labs)

ggplot(coast) +
  geom_sf(col = "deepskyblue4", linewidth = 3) +
  geom_sf(data = labs, fill = "springgreen4", col = "darkgoldenrod1", size = 5, shape = 21) +
  coord_sf(
    xlim = afr_bbox[c("xmin", "xmax")],
    ylim = afr_bbox[c("ymin", "ymax")]
  )
```

### Labels

An example of a labeled map using **ggplot2**:

```{r labels, fig.height=7, fig.width=6}
ITA <- gisco_get_nuts(country = "Italy", nuts_level = 1)

ggplot(ITA) +
  geom_sf() +
  geom_sf_text(aes(label = NAME_LATN)) +
  theme(axis.title = element_blank())
```

### Thematic maps

An example of a thematic map plotted with the **ggplot2** package. The
information is extracted via the **eurostat** package [@RJ-2017-019]. We would
follow the fantastic approach presented by [Milos
Popovic](https://milospopovic.net/) on [this
post](https://milospopovic.net/how-to-make-choropleth-map-in-r/):

We start by extracting the corresponding geographic data:

```{r euroex, fig.asp=1.1}
# Get shapes
nuts3 <- gisco_get_nuts(
  year = "2021",
  epsg = "3035",
  resolution = "10",
  nuts_level = "3"
)

# Group by NUTS by country and convert to lines
country_lines <- nuts3 %>%
  group_by(
    CNTR_CODE
  ) %>%
  summarise(n = n()) %>%
  st_cast("MULTILINESTRING")
```

We now download the data from Eurostat:

```{r}
# Use eurostat
library(eurostat)
popdens <- get_eurostat("demo_r_d3dens") %>%
  filter(TIME_PERIOD == "2021-01-01")
```

By last, we merge and manipulate the data for creating the final plot:

```{r thematic, fig.asp=1.1}
# Merge data
nuts3_sf <- nuts3 %>%
  left_join(popdens, by = "geo")

nuts3_sf <- nuts3 %>%
  left_join(popdens, by = c("NUTS_ID" = "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 to be 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: ",
      "https://milospopovic.net/how-to-make-choropleth-map-in-r/"
    )
  )
```

## A note on caching

Some data sets (as Local Administrative Units - LAU, or high-resolution files)
may have a size larger than 50MB. You can use **giscoR** to create your own
local repository at a given local directory passing the following function:

```{r, eval=FALSE}
gisco_set_cache_dir("./path/to/location")
```

You can also download manually the files (`.geojson` format) and store them on
your local directory.

## Recommended packages

### API data packages

-   **eurostat** [@RJ-2017-019]: This is an API package that provides access to
    open data from Eurostat.

### Plotting **sf** objects

Some packages recommended for visualization are:

-   [**tmap**](https://r-tmap.github.io/tmap/)
-   [**ggplot2**](https://github.com/tidyverse/ggplot2) +
    [**ggspatial**](https://github.com/paleolimbot/ggspatial) +
    [**tidyterra**](https://dieghernan.github.io/tidyterra/)
-   [**mapsf**](https://riatelab.github.io/mapsf/)
-   [**leaflet**](https://rstudio.github.io/leaflet/)

## Contribute

Check the GitHub page for [source code](https://github.com/rOpenGov/giscoR/).

Contributions are very welcome:

-   [Use issue tracker](https://github.com/rOpenGov/giscoR/issues) for feedback
    and bug reports.
-   [Send pull requests](https://github.com/rOpenGov/giscoR/)
-   [Star us on the GitHub page](https://github.com/rOpenGov/giscoR)

## Citation

```{r echo=FALSE, results='asis'}
print(citation("giscoR"), bibtex = FALSE)
```

A BibTeX entry for LaTeX users is

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

## Copyright notice

> When data downloaded from this page is used in any printed or electronic
> publication, in addition to any other provisions applicable to the whole
> Eurostat website, data source will have to be acknowledged in the legend of
> the map and in the introductory page of the publication with the following
> copyright notice:
>
> -   EN: © EuroGeographics for the administrative boundaries.
> -   FR: © EuroGeographics pour les limites administratives.
> -   DE: © EuroGeographics bezüglich der Verwaltungsgrenzen.
>
> For publications in languages other than English, French or German, the
> translation of the copyright notice in the language of the publication shall
> be used.
>
> If you intend to use the data commercially, please contact
> [EuroGeographics](https://eurogeographics.org/maps-for-europe/licensing/) for
> information regarding their licence agreements.
>
> *From [GISCO
> Web](https://ec.europa.eu/eurostat/web/gisco/geodata/statistical-units)*

## Disclaimer

This package is in no way officially related to or endorsed by Eurostat.

## References

::: {#refs}
:::

## Contributors







All contributions to this project are gratefully acknowledged using the [`allcontributors` package](https://github.com/ropensci/allcontributors) following the [allcontributors](https://allcontributors.org) specification. Contributions of any kind are welcome!

### Code









dieghernan






### Issue Authors









lodderig






umbe1987






martinhulenyi






pitkant






nahin29






richardtc






maurolepore






vincentarelbundock










swimmer008






RemiDumas






hannesaddec






kalegoddess






raffaem






dominicroye






FSS-learning






### Issue Contributors









vin-ni






matteodefelice






GB-IHE






webervienna






joelangley9






pradisteph











        

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: 0.6.1
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: '2025'
  version: 0.6.1
  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: '2025'
  version: '>= 3.6.0'
- 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: '2025'
  doi: 10.32614/CRAN.package.countrycode
  version: '>= 1.2.0'
- type: software
  title: geojsonsf
  abstract: 'geojsonsf: GeoJSON to Simple Feature Converter'
  notes: Imports
  url: https://github.com/SymbolixAU/geojsonsf
  repository: https://CRAN.R-project.org/package=geojsonsf
  authors:
  - family-names: Cooley
    given-names: David
    email: dcooley@symbolix.com.au
  year: '2025'
  doi: 10.32614/CRAN.package.geojsonsf
  version: '>= 2.0.0'
- 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: '2025'
  identifiers:
  - type: url
    value: https://arxiv.org/abs/1403.2805
  doi: 10.32614/CRAN.package.jsonlite
- type: software
  title: rappdirs
  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
    given-names: Trent
  - family-names: Davis
    given-names: Trevor
  year: '2025'
  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: '2025'
  doi: 10.32614/CRAN.package.sf
  version: '>= 0.9.0'
- 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: '2025'
- 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
    given-names: Romain
    orcid: https://orcid.org/0000-0002-2444-4226
  - family-names: Henry
    given-names: Lionel
  - family-names: Müller
    given-names: Kirill
    orcid: https://orcid.org/0000-0002-1416-3412
  - family-names: Vaughan
    given-names: Davis
    email: davis@posit.co
    orcid: https://orcid.org/0000-0003-4777-038X
  year: '2025'
  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
    orcid: https://orcid.org/0000-0001-5537-637X
  - family-names: Huovari
    given-names: Janne
  - family-names: Kainu
    given-names: Markus
  - family-names: Biecek
    given-names: Przemyslaw
  year: '2025'
  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: '2025'
  doi: 10.32614/CRAN.package.ggplot2
  version: '>= 3.5.0'
- type: software
  title: httr2
  abstract: 'httr2: Perform HTTP Requests and Process the Responses'
  notes: Suggests
  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: '2025'
  doi: 10.32614/CRAN.package.httr2
- 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
    orcid: https://orcid.org/0000-0003-0645-5666
  year: '2025'
  doi: 10.32614/CRAN.package.knitr
- type: software
  title: lwgeom
  abstract: 'lwgeom: Bindings to Selected ''liblwgeom'' Functions for Simple Features'
  notes: Suggests
  url: https://r-spatial.github.io/lwgeom/
  repository: https://CRAN.R-project.org/package=lwgeom
  authors:
  - family-names: Pebesma
    given-names: Edzer
    email: edzer.pebesma@uni-muenster.de
    orcid: https://orcid.org/0000-0001-8049-7069
  year: '2025'
  doi: 10.32614/CRAN.package.lwgeom
  version: '>= 0.2-2'
- type: software
  title: rmarkdown
  abstract: 'rmarkdown: Dynamic Documents for R'
  notes: Suggests
  url: https://pkgs.rstudio.com/rmarkdown/
  repository: https://CRAN.R-project.org/package=rmarkdown
  authors:
  - family-names: Allaire
    given-names: JJ
    email: jj@posit.co
  - family-names: Xie
    given-names: Yihui
    email: xie@yihui.name
    orcid: https://orcid.org/0000-0003-0645-5666
  - family-names: Dervieux
    given-names: Christophe
    email: cderv@posit.co
    orcid: https://orcid.org/0000-0003-4474-2498
  - family-names: McPherson
    given-names: Jonathan
    email: jonathan@posit.co
  - family-names: Luraschi
    given-names: Javier
  - family-names: Ushey
    given-names: Kevin
    email: kevin@posit.co
  - family-names: Atkins
    given-names: Aron
    email: aron@posit.co
  - family-names: Wickham
    given-names: Hadley
    email: hadley@posit.co
  - family-names: Cheng
    given-names: Joe
    email: joe@posit.co
  - family-names: Chang
    given-names: Winston
    email: winston@posit.co
  - family-names: Iannone
    given-names: Richard
    email: rich@posit.co
    orcid: https://orcid.org/0000-0003-3925-190X
  year: '2025'
  doi: 10.32614/CRAN.package.rmarkdown
- type: software
  title: testthat
  abstract: 'testthat: Unit Testing for R'
  notes: Suggests
  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: '2025'
  doi: 10.32614/CRAN.package.testthat
  version: '>= 3.0.0'

---

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

• Create event: 4
• Release event: 1
• Issues event: 9
• Watch event: 2
• Delete event: 3
• Issue comment event: 12
• Push event: 31
• Pull request event: 5

Last Year

• Create event: 4
• Release event: 1
• Issues event: 9
• Watch event: 2
• Delete event: 3
• Issue comment event: 12
• Push event: 31
• Pull request event: 5

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Committers metadata

Last synced: 1 day ago

Name	Email	Commits
dieghernan	d****o@g****m	646
GitHub Actions	a****s@g****m	90
github-actions[bot]	4****]	62
imgbot[bot]	3****]	20
dependabot[bot]	4****]	5
ImgBotApp	I****p@g****m	4
dieghernan	d****o@g****m	2

Committer domains:

• github.com: 1

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Issue and Pull Request metadata

Last synced: 1 day ago

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/rOpenGov/giscoR

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Package metadata

• Total packages: 1
• Total downloads:
  • cran: 4,002 last-month
• Total dependent packages: 3
• Total dependent repositories: 4
• Total versions: 18
• Total maintainers: 1

---

Dependencies

Score: 14.573190009642259