%>%                     The magrittr pipe
all_cols                Perform validations on all table columns When
                        used in conjunction with the 'column' argument,
                        the 'all_cols()' helper function will indicate
                        that the validation should occur for each and
                        every column in the table.
all_passed              Did all of the validations pass?
col_exists              Verify that one or more columns exist
col_is_character        Verify that a column contains character/string
                        data
col_is_date             Verify that a column contains R Date objects
col_is_factor           Verify that a column contains R factor objects
col_is_integer          Verify that a column contains integer values
col_is_logical          Verify that a column contains logical values
col_is_numeric          Verify that a column contains numeric values
col_is_posix            Verify that a column contains POSIXct dates
col_vals_between        Verify whether column data are between two
                        values
col_vals_equal          Verify whether numerical column data are equal
                        to a specified value
col_vals_gt             Verify whether numerical column data are
                        greater than a specified value
col_vals_gte            Verify whether numerical column data are
                        greater than or equal to a specified value
col_vals_in_set         Verify whether column data are part of a set of
                        values
col_vals_lt             Verify whether numerical column data are less
                        than a specified value
col_vals_lte            Verify whether numerical column data are less
                        than or equal to a specified value
col_vals_not_between    Verify that column data are not between two
                        values
col_vals_not_equal      Verify whether numerical column data are not
                        equal to a specified value
col_vals_not_in_set     Verify that column data are not part of a set
                        of values
col_vals_not_null       Verify whether all column values are not NULL
col_vals_null           Verify whether all column values are NULL
col_vals_regex          Verify whether string column data corresponds
                        to a regex matching expression
create_agent            Create a pointblank agent object
create_creds_file       Create a file with DB access credentials
create_email_creds_file
                        Create a file with email access credentials
db_creds_env_vars       Bind environment variable names for database
                        access
focus_on                Place certain access details more to the fore
get_html_summary        Create an HTML summary file for the
                        interrogation
get_interrogation_summary
                        Get a simple summary of the interrogation
get_row_sample_data     Get non-passing sample rows from a validation
                        step
get_row_sample_info     Get information on sample rows from non-passing
                        validations
get_validation_name     Get the pointblank validation name
interrogate             Given an agent that is fully loaded with tasks,
                        perform an interrogation
is_ptblank_agent        Is the object a pointblank agent?
rows_not_duplicated     Verify that row data are not duplicated
run_validation_files    Process multiple validation files
set_email_prefs         Set email credentials and enable email
                        reporting
set_slack_prefs         Set Slack credentials and enable Slack
                        notifications
