R: Data Validation Based on YAML Rules

# Data Validation Based on YAML Rules

## Documentation for package ‘datadiff’ version 0.4.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

%||% | Operator for default values
add_tolerance_columns | Add tolerance columns for numeric comparisons
analyze_columns | Analyze column differences between datasets
compare_datasets_from_yaml | Compare datasets using YAML validation rules
derive_column_rules | Derive column-specific validation rules
detect_column_types | Detect column types in a dataframe
normalize_text | Normalize text for comparison
or_operator | Operator for default values
preprocess_dataframe | Preprocess dataframe according to column rules
read_rules | Read and validate YAML rules file
setup_pointblank_agent | Setup pointblank agent for data validation
validate_row_counts | Validate row counts according to rules
write_rules_template | Create a YAML rules template for data validation