dqcheckr: Automated Data Quality Checks for Recurring Dataset Deliveries

Automates quality verification of recurring external dataset deliveries. For each new file arrival, it runs single-snapshot quality checks (QC-01 to QC-16, SC-01/SC-02), compares the file to the previous delivery (CP-01 to CP-08), 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.

Details

The main entry point is run_dq_check. Configuration is driven by two 'YAML' files: a global dqcheckr.yml and a per-dataset <dataset_name>.yml.

These packages are only called from the report templates rendered by Quarto in a separate process (inst/templates/*.qmd), so static analysis of R/ cannot see them as used – without a reference here, R CMD check reports "Namespaces in Imports field not imported from".

See also

Useful links:

• https://mickmioduszewski.github.io/dqcheckr/

• https://github.com/mickmioduszewski/dqcheckr

• Report bugs at https://github.com/mickmioduszewski/dqcheckr/issues

Author

Maintainer: Mick Mioduszewski mick@mioduszewski.net

Authors:

• Mick Mioduszewski mick@mioduszewski.net