R: Audit and Diagnostic Tools for 'data.table' Workflows

# Audit and Diagnostic Tools for 'data.table' Workflows

## Documentation for package ‘dtaudit’ version 0.1.1

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

## Help Pages

audit_clean | Audit String Cleaning Operation
check_date_coverage | Check Date Coverage
check_months_coverage | Check Monthly Date Coverage
clean_firm_name | Clean Firm Names for Matching
clean_var_names | Clean Variable Names
compare_datatables | Compare Two Data Tables
diagnose_nas | Diagnose Missing Values
diagnose_strings | Diagnose String Column Quality
embed_into_cartesian | Embed Data into Cartesian Product Frame
filter_drop | Drop Data with Diagnostic Statistics
filter_drop.data.table | Drop Data with Diagnostic Statistics
filter_keep | Filter Data with Diagnostic Statistics
filter_keep.data.table | Filter Data with Diagnostic Statistics
get_summary_table | Generate Summary Table for a Data Table
print.audit_clean | Print Method for audit_clean Objects
print.compare_dt | Print Method for compare_dt Objects
print.diagnose_na | Print Method for diagnose_na Objects
print.diagnose_strings | Print Method for diagnose_strings Objects
print.validate_join | Print Method for validate_join Objects
print.validate_pk | Print Method for validate_pk Objects
print.validate_var_rel | Print Method for validate_var_rel Objects
summarize_vector | Summarize a Single Vector
summary.validate_join | Summary Method for validate_join Objects
validate_join | Validate Join Operations Between Two Data Tables
validate_primary_keys | Validate Primary Keys
validate_var_relationship | Validate Variable Relationship