dqcheckr
0.3.0Automated Data Quality Checks for Recurring Dataset Deliveries
Overview
Automates quality verification of recurring external dataset deliveries. For each new file arrival, it runs single-snapshot quality checks, compares the file to the previous delivery, writes a self-contained 'HTML' report, and records summary statistics in a local 'SQLite' database for long-term trend tracking. Supports 'CSV' and fixed-width formats. Custom organisation-specific checks can be supplied as plain R files.
Install
Health
- ERROR r-oldrel-macos-arm64
- ERROR r-oldrel-macos-x86_64
- ERROR r-release-macos-arm64
- ERROR r-release-macos-x86_64
- ERROR2026-07-2612 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-06-0713 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-05-213 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Documentation
- Examples that run
- 95%
- Documented parameters
- 99%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
Stars over time
Releases over time
Commits over time
Repository practices
3 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/mickmioduszewski/dqcheckr on 2026-08-23.
Dependencies
Code & Tests
People & History
6 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2026-05-20
- Total releases
- 6 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.2
- Download size
- 287 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("dqcheckr")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.