Automated Data Quality Checks for Recurring Dataset Deliveries

Documentation for package ‘dqcheckr’ version 0.1.2

check_missing_rate	QC-01: Check missing rate per column
detect_files	Detect current and previous dataset files
dq_result	Construct a data quality result object
infer_col_type	Infer the logical type of a character column
load_config	Load and merge dataset configuration
overall_status	Compute the worst status across a list of dq_result objects
read_dataset	Read a dataset file into a data frame
read_recent_snapshots	Read recent snapshot history from the SQLite database
run_comparison_checks	Run all version comparison checks between two dataset snapshots
run_custom_checks	Run organisation-specific custom checks
run_dq_check	Run a full data quality check pipeline
run_qc_checks	Run all generic quality checks on a dataset