| cleaner | Cleans Incoming Data from Excel | 
| compare | Main Helper Function for vc_compare | 
| import | Reads in Imports Dictionary | 
| import_map | Convenience Function to Imports and Map Dictionary | 
| mapper | Creates Dictionary Mapping | 
| print.all_good | Prints a all_good Object | 
| print.invalid_report | Prints a invalid_report Object | 
| print.valiData | Prints a valiData Object | 
| print.valiData_dir_level | Prints a valiData_dir_level Object | 
| print.validate_file | Prints a validate_file Object | 
| print.valid_report | Prints a valid_report Object | 
| print.vc | Prints a vc Object | 
| print.vd_dir | Prints a vd_dir Object | 
| print.vd_empty_subfolders | Prints a vd_empty_subfolders Object | 
| print.vd_non_empty | Prints a vd_non_empty Object | 
| print.vd_unmapped_csv | Prints a vd_unmapped_csv Object | 
| print.vf_csv_broken | Prints a vf_csv_broken Object | 
| print.vf_file_type | Prints a vf_file_type Object | 
| print.vf_non_empty | Prints a vf_non_empty Object | 
| print.vt_column_names | Prints a vt_column_names Object | 
| print.vt_column_order | Prints a vt_column_order Object | 
| print.vt_duplicated_rows | Prints a vt_duplicated_rows Object | 
| print.vt_enough_columns | Prints a vt_enough_columns Object | 
| print.vt_header | Prints a vt_header Object | 
| print.vt_na_rows | Prints a vt_na_rows Object | 
| print.vt_non_ASCII | Prints a vt_non_ASCII Object | 
| print.vt_non_empty | Prints a vt_non_empty Object | 
| print.vt_required_columns | Prints a vt_required_columns Object | 
| print.vt_spaced_colnames | Prints a vt_spaced_colnames Object | 
| read_column_map_dir | Read in Debian Control File | 
| report_all_is_well | Generate Random Cowsay Praise | 
| twiddle-equals | Nearly Equal | 
| valiData | Validate a Directory of Subdirectories of CSV Files | 
| validate_file | Validate a CSV File | 
| vc_ | Generic Column Validation | 
| vc_categories | Validates If Correct Categories Used | 
| vc_cipcode | Validates If Valid CIP Code | 
| vc_column_apply | Apply Column Map to Dataframe | 
| vc_compare | Validates If Comparison Met | 
| vc_credits | Validates and If Formatted Like Credit | 
| vc_email | Validates If Email | 
| vc_integer | Validates If Integer | 
| vc_iso_datetime | Validates and Reports If ISO 8601 | 
| vc_logical | Validates If Logical | 
| vc_missing | Checks For Missing Elements In Vector | 
| vc_nchar | Validates Number of Characters | 
| vc_non_response | Checks For Non-Response Elements In Vector | 
| vc_null | Checks For Null Elements In Vector | 
| vc_numeric | Validates and Reports If Numeric | 
| vc_regex | Validates and Reports If Formatted Like Regex Provided | 
| vc_type | Switch Method Based On Type Of Data in Column | 
| vc_unique | Validates and Reports If Unique | 
| vc_utc_date | Validates If Date UTC | 
| vc_zipcode | Validates If ZipCode | 
| vd_dir | Checks If Path Is Directory | 
| vd_empty_subfolders | Validate Which Folders Contain CSVs | 
| vd_non_empty | Checks If Dir Not Empty | 
| vd_unmapped_csv | Validate Folders that Contain CSVs Are Found in Map | 
| vf_csv_broken | Validate that a CSV's Is Properly Quoted | 
| vf_file_type | Checks If File CSV | 
| vf_non_empty | Checks If File Not Empty | 
| vt_column_names | Validate that a CSV's Columns Are Named Correctly | 
| vt_column_order | Validate that a CSV's Columns Are Correctly Ordered | 
| vt_duplicated_rows | Validate a CSV Contains No Duplicate Rows | 
| vt_enough_columns | Validate that a CSV's has N Columns | 
| vt_header | Validate that a CSV Has a Header | 
| vt_na_rows | Find Rows with only NAs, If Any | 
| vt_non_ASCII | Validates and Reports If Non-ASCII characters present | 
| vt_non_empty | Validate a CSV Contains Rows | 
| vt_required_columns | Validate that a CSV Has No Missing/Null Values in Required... | 
| vt_spaced_colnames | Validate that a CSV's Column Names Contain No Spaces | 
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