rilostat
Tools for ILO Open Data via ILOSTAT bulk download facility or SDMX web service
Science Score: 13.0%
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○CITATION.cff file
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✓codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (14.8%) to scientific vocabulary
Keywords
api
dataset
open-source
public-api
r
Last synced: 6 months ago
·
JSON representation
Repository
Tools for ILO Open Data via ILOSTAT bulk download facility or SDMX web service
Basic Info
- Host: GitHub
- Owner: ilostat
- License: other
- Language: HTML
- Default Branch: master
- Homepage: https://ilostat.github.io/Rilostat/
- Size: 9.6 MB
Statistics
- Stars: 34
- Watchers: 1
- Forks: 4
- Open Issues: 0
- Releases: 10
Topics
api
dataset
open-source
public-api
r
Created over 8 years ago
· Last pushed 7 months ago
Metadata Files
Readme
Changelog
License
README.Rmd
---
output:
html_document:
keep_md: yes
---
[](https://cran.r-project.org/package=Rilostat)
[](https://cran.r-project.org/package=Rilostat)
## ilostat R package
The ILO's main online database, [ILOSTAT](https://ilostat.ilo.org), maintained by the Department of Statistics,
is the world's largest repository of labour market statistics. It covers all countries and regions and a wide range of labour-related topics, including employment, unemployment,
wages, working time and labour productivity, to name a few. It includes time series going back as far as 1938; annual, quarterly and monthly labour statistics; country-level,
regional and global estimates; and even projections of the main labour market indicators.
ILOSTAT's website provides immediate access to all its data and related metadata through different ways. Basic users can simply view the desired data online or download it in Excel or csv formats.
More advanced users can take advantage of ILOSTAT's well-structured [bulk download facility](https://ilostat.ilo.org/data/bulk/) ([user guide](https://webapps.ilo.org/ilostat-files/Documents/ILOSTAT_BulkDownload_Guidelines.pdf)).
The ilostat R package (`'Rilostat'`) was designed to give data users the ability to access the ILOSTAT database, search for data, rearrange the information as needed, download it in the desired format, and
make various data visualizations, all in a programmatic and replicable manner, with the possibility of quickly re-running the queries as required.
## Main features of the ilostat R package
- Provides access to all annual, quarterly, and monthly data available via the ILOSTAT [bulk download facility](https://ilostat.ilo.org/data/bulk/) ([user guide](https://webapps.ilo.org/ilostat-files/Documents/ILOSTAT_BulkDownload_Guidelines.pdf))
- Allows to search for and download data and related metadata in English, French and Spanish
- Gives the ability to return `POSIXct` dates for easy integration into plotting and time-series analysis techniques
- Returns data in long format for direct integration with packages like `ggplot2` and `dplyr`
- Gives immediate access to the most recent updates
- Allows for `grep`-style searching for data descriptions and names
## Acknowledgements
The developer of this package drew extensive inspiration from the [eurostat R package](https://CRAN.R-project.org/package=eurostat) and its related documentation:
- [Retrieval and Analysis of Eurostat Open Data with the eurostat Package](https://journal.r-project.org/archive/2017/RJ-2017-019/RJ-2017-019.pdf) - [Leo Lahti](https://github.com/antagomir), [Przemyslaw Biecek](https://github.com/pbiecek), [Markus Kainu](https://github.com/muuankarski) and [Janne Huovari](https://github.com/jhuovari). R Journal 9(1), 385-392, 2017.
# Installation
Download and install [R from CRAN](https://cran.r-project.org/), install [RStudio's IDE](https://posit.co/products/open-source/rstudio/), a powerful user interface for R.
Then use command:
```{r, eval=FALSE}
install.packages("Rilostat")
```
To install the development version, use the following command:
```{r, eval=FALSE}
if(!require(devtools)){install.packages('devtools')}
install_github("ilostat/Rilostat")
```
We do not expect to update the ilostat R package too often, but based on questions and remarks from ILOSTAT
data users, we will progressively create more examples,
tutorials, demos and apps. We will publicly share all of this via [Rilostat webpage](https://ilostat.github.io/Rilostat/)
## Contribute
Contributions are very welcome:
* [Use issue tracker](https://github.com/ilostat/Rilostat/issues) for feedback and bug reports.
* [Star us on the Github page](https://github.com/ilostat/Rilostat)
## Permission to reproduce ILO publication and data
The reproduction of ILO material is generally authorized for non-commercial purposes and within established limits.
However, you may need to submit a formal request in certain circumstances. for more information please consult:
https://www.ilo.org/global/copyright
https://www.ilo.org/global/copyright/request-for-permission
Owner
- Login: ilostat
- Kind: user
- Location: Geneva
- Company: International Labour Office / Statistics department
- Website: https://ilostat.ilo.org
- Repositories: 3
- Profile: https://github.com/ilostat
GitHub Events
Total
- Create event: 1
- Release event: 1
- Issues event: 4
- Watch event: 11
- Issue comment event: 1
- Push event: 9
- Fork event: 1
Last Year
- Create event: 1
- Release event: 1
- Issues event: 4
- Watch event: 11
- Issue comment event: 1
- Push event: 9
- Fork event: 1
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| dbescond | b****d@i****g | 33 |
| ilostat | i****t@i****g | 29 |
Committer Domains (Top 20 + Academic)
ilo.org: 2
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 4
- Total pull requests: 0
- Average time to close issues: 6 months
- Average time to close pull requests: N/A
- Total issue authors: 4
- Total pull request authors: 0
- Average comments per issue: 1.5
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: 1 day
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 2.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- msgoussi (1)
- mcooper (1)
- gronert-m (1)
- tsenegas (1)
- KateSchneider-FoodPol (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 812 last-month
- Total docker downloads: 43,390
- Total dependent packages: 0
- Total dependent repositories: 6
- Total versions: 14
- Total maintainers: 1
cran.r-project.org: Rilostat
ILO Open Data via Ilostat Bulk Download Facility
- Homepage: https://ilostat.github.io/Rilostat/
- Documentation: http://cran.r-project.org/web/packages/Rilostat/Rilostat.pdf
- License: BSD_2_clause + file LICENSE
-
Latest release: 2.3.1
published 12 months ago
Rankings
Docker downloads count: 0.6%
Stargazers count: 10.9%
Dependent repos count: 11.9%
Forks count: 14.1%
Average: 14.4%
Downloads: 20.2%
Dependent packages count: 28.6%
Maintainers (1)
Last synced:
6 months ago
Dependencies
DESCRIPTION
cran
- R >= 3.5.0 depends
- DT * imports
- RCurl * imports
- data.table * imports
- dplyr >= 1.0.4 imports
- haven * imports
- plyr * imports
- readr >= 1.4.0 imports
- stringr >= 1.4.0 imports
- tibble >= 3.0.6 imports
- tidyr * imports
- xml2 * imports
- curl * suggests
- devtools * suggests
- ggplot2 >= 3.3.3 suggests
- knitr * suggests
- plotly * suggests
- rmarkdown * suggests
- shiny * suggests
.github/workflows/pkgdown.yaml
actions
- JamesIves/github-pages-deploy-action v4.5.0 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