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correspondenceTables

Functions for creating or updating correspondence tables between two statistical classifications

https://github.com/eurostat/correspondencetables

Science Score: 26.0%

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Keywords

eurostat r statistical-classification
Last synced: 11 months ago · JSON representation

Repository

Functions for creating or updating correspondence tables between two statistical classifications

Basic Info
Statistics
  • Stars: 8
  • Watchers: 3
  • Forks: 4
  • Open Issues: 0
  • Releases: 0
Topics
eurostat r statistical-classification
Created almost 4 years ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog

README.md

last commit R build status dependencies CRAN version CRAN status license weekly downloads monthly downloads all downloads <!-- badges: end -->

CorrespondenceTables

Empowering the seamless creation and refinement of correspondence tables between two statistical classifications, such as NACE, CPA, CN, and more. This toolkit not only streamlines the process of generating and updating these tables but also provides functionality for retrieving classification and correspondence tables. It includes features for conducting quality control on classifications and offers a comprehensive analysis of correspondence tables with the ability to aggregate them effectively.

Installation

'correspondenceTables' can be installed from CRAN by

R install.packages("correspondenceTables")

or use the development version from GitHub

R devtools::install_github("eurostat/correspondenceTables", build_vignettes = TRUE)

Background

This package serves as a tool to assist you in creating and updating a correspondence table between two classifications, such as NACE, CPA, CN, and others. It enables the retrieval of classification tables and correspondence tables. Additionally, it facilitates quality control on a classification and allows for the analysis and aggregation of correspondence tables.

Content

The package contains 11 functions:

  1. newCorrespondenceTable to create a candidate correspondence table between two classifications when there are correspondence tables leading from the first classification to the second one via intermediate 'pivot' classifications.

  2. updateCorrespondenceTable to update the correspondence table between two statistical classifications when one of the classifications gets updated to a new version.

  3. prefixList Create a list of prefixes for both CELLAR and FAO repositories.

  4. CorrespondenceList Overview of all the available correspondence classification from CELLAR and FAO repository.

  5. dataStructure Retrieve information about the structure of each classification tables from CELLAR and FAO repositories.

  6. classificationEndpoint Retrieve a list of classification tables from CELLAR and FAO repositories or both.

  7. retrieveClassificationTable Retrieve stastistical classification tables from CELLAR and FAO repositories.

  8. retrieveCorrespondenceTable. Retrieve correspondence tables between statistical classifications from CELLAR and FAO repositories.

  9. classificationQC performs quality control checks on statistical classifications.

  10. analyseCorrespondancetable performs analysis on correspondence tables.

  11. aggregateCorrespondenceTable aggregates correspondence tables to higher hierarchical levels.

Examples

For the examples see the vignettes. R browseVignettes("correspondenceTables")

Owner

  • Name: Eurostat
  • Login: eurostat
  • Kind: organization
  • Location: Luxembourg

Eurostat is the statistical office of the European Union. This repository provides with open resources (prototypes, proofs of concept,...) developed in-house.

GitHub Events

Total
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  • Issue comment event: 1
  • Push event: 5
  • Pull request review event: 1
  • Pull request event: 8
  • Fork event: 2
  • Create event: 4
Last Year
  • Watch event: 1
  • Delete event: 3
  • Issue comment event: 1
  • Push event: 5
  • Pull request review event: 1
  • Pull request event: 8
  • Fork event: 2
  • Create event: 4

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 103
  • Total Committers: 5
  • Avg Commits per committer: 20.6
  • Development Distribution Score (DDS): 0.592
Past Year
  • Commits: 25
  • Committers: 3
  • Avg Commits per committer: 8.333
  • Development Distribution Score (DDS): 0.2
Top Committers
Name Email Commits
mmatyi m****i 42
photisstavropoulos 7****s 35
Mészáros Mátyás Tamás m****s@e****u 22
martinapatone 3****e 3
photisstavropoulos p****s@q****m 1
Committer Domains (Top 20 + Academic)
quantos-stat.com: 1 ec.europa.eu: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 0
  • Total pull requests: 8
  • Average time to close issues: N/A
  • Average time to close pull requests: 29 days
  • Total issue authors: 0
  • Total pull request authors: 4
  • Average comments per issue: 0
  • Average comments per pull request: 0.38
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 4
  • Average time to close issues: N/A
  • Average time to close pull requests: about 17 hours
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.25
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
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Top Authors
Issue Authors
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  • bienvel (3)
  • martinapatone (2)
  • Clementthomass (2)
  • mmatyi (2)
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Packages

  • Total packages: 1
  • Total downloads:
    • cran 261 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: correspondenceTables

Creating Correspondence Tables Between Two Statistical Classifications

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 261 Last month
Rankings
Forks count: 21.9%
Stargazers count: 24.2%
Dependent packages count: 29.8%
Average: 33.5%
Dependent repos count: 35.5%
Downloads: 56.4%
Maintainers (1)
matyas.meszaros@ec.europa.eu
Last synced: 11 months ago

Dependencies

DESCRIPTION cran
  • data.table * imports
  • knitr * suggests
  • rmarkdown * suggests
.github/workflows/check-pak.yaml actions
  • actions/cache v3 composite
  • actions/checkout v3 composite
  • actions/upload-artifact main composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
.github/workflows/main.yml actions
  • actions/checkout v3 composite
  • stefanzweifel/git-auto-commit-action v4 composite