Audit and Diagnostic Tools for 'data.table' Workflows
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Documentation for package ‘dtaudit’ version 0.1.1
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| 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 |