R: Data Validation and Organization of Metadata for Local and Remote Tables

# Data Validation and Organization of Metadata for Local and Remote Tables

## Documentation for package ‘pointblank’ version 0.12.3

- DESCRIPTION file
- Package NEWS

## Help Pages

A C D E F G H I L R S T V W X Y

## -- A --

action_levels | Set action levels: failure thresholds and functions to invoke
activate_steps | Activate one or more of an _agent_'s validation steps
affix_date | Put the current date into a file name
affix_datetime | Put the current datetime into a file name
all_passed | Did all of the validations fully _pass_?

## -- C --

col_count_match | Does the column count match that of a different table?
col_exists | Do one or more columns actually exist?
col_is_character | Do the columns contain character/string data?
col_is_date | Do the columns contain R 'Date' objects?
col_is_factor | Do the columns contain R 'factor' objects?
col_is_integer | Do the columns contain integer values?
col_is_logical | Do the columns contain logical values?
col_is_numeric | Do the columns contain numeric values?
col_is_posix | Do the columns contain 'POSIXct' dates?
col_schema | Generate a table column schema manually or with a reference table
col_schema_match | Do columns in the table (and their types) match a predefined schema?
col_vals_between | Do column data lie between two specified values or data in other columns?
col_vals_decreasing | Are column data decreasing by row?
col_vals_equal | Are column data equal to a fixed value or data in another column?
col_vals_expr | Do column data agree with a predicate expression?
col_vals_gt | Are column data greater than a fixed value or data in another column?
col_vals_gte | Are column data greater than or equal to a fixed value or data in another column?
col_vals_increasing | Are column data increasing by row?
col_vals_in_set | Are column data part of a specified set of values?
col_vals_lt | Are column data less than a fixed value or data in another column?
col_vals_lte | Are column data less than or equal to a fixed value or data in another column?
col_vals_make_set | Is a set of values entirely accounted for in a column of values?
col_vals_make_subset | Is a set of values a subset of a column of values?
col_vals_not_between | Do column data lie outside of two specified values or data in other columns?
col_vals_not_equal | Are column data not equal to a fixed value or data in another column?
col_vals_not_in_set | Are data not part of a specified set of values?
col_vals_not_null | Are column data not 'NULL'/'NA'?
col_vals_null | Are column data 'NULL'/'NA'?
col_vals_regex | Do strings in column data match a regex pattern?
col_vals_within_spec | Do values in column data fit within a specification?
conjointly | Perform multiple rowwise validations for joint validity
create_agent | Create a *pointblank* _agent_ object
create_informant | Create a *pointblank* _informant_ object
create_multiagent | Create a *pointblank* _multiagent_ object

## -- D --

db_tbl | Get a table from a database
deactivate_steps | Deactivate one or more of an _agent_'s validation steps
draft_validation | Draft a starter *pointblank* validation .R/.Rmd file with a data table

## -- E --

email_blast | Conditionally send email during interrogation
email_create | Create an email object from a *pointblank* _agent_
expect_col_count_match | Does the column count match that of a different table?
expect_col_exists | Do one or more columns actually exist?
expect_col_is_character | Do the columns contain character/string data?
expect_col_is_date | Do the columns contain R 'Date' objects?
expect_col_is_factor | Do the columns contain R 'factor' objects?
expect_col_is_integer | Do the columns contain integer values?
expect_col_is_logical | Do the columns contain logical values?
expect_col_is_numeric | Do the columns contain numeric values?
expect_col_is_posix | Do the columns contain 'POSIXct' dates?
expect_col_schema_match | Do columns in the table (and their types) match a predefined schema?
expect_col_vals_between | Do column data lie between two specified values or data in other columns?
expect_col_vals_decreasing | Are column data decreasing by row?
expect_col_vals_equal | Are column data equal to a fixed value or data in another column?
expect_col_vals_expr | Do column data agree with a predicate expression?
expect_col_vals_gt | Are column data greater than a fixed value or data in another column?
expect_col_vals_gte | Are column data greater than or equal to a fixed value or data in another column?
expect_col_vals_increasing | Are column data increasing by row?
expect_col_vals_in_set | Are column data part of a specified set of values?
expect_col_vals_lt | Are column data less than a fixed value or data in another column?
expect_col_vals_lte | Are column data less than or equal to a fixed value or data in another column?
expect_col_vals_make_set | Is a set of values entirely accounted for in a column of values?
expect_col_vals_make_subset | Is a set of values a subset of a column of values?
expect_col_vals_not_between | Do column data lie outside of two specified values or data in other columns?
expect_col_vals_not_equal | Are column data not equal to a fixed value or data in another column?
expect_col_vals_not_in_set | Are data not part of a specified set of values?
expect_col_vals_not_null | Are column data not 'NULL'/'NA'?
expect_col_vals_null | Are column data 'NULL'/'NA'?
expect_col_vals_regex | Do strings in column data match a regex pattern?
expect_col_vals_within_spec | Do values in column data fit within a specification?
expect_conjointly | Perform multiple rowwise validations for joint validity
expect_rows_complete | Are row data complete?
expect_rows_distinct | Are row data distinct?
expect_row_count_match | Does the row count match that of a different table?
expect_serially | Run several tests and a final validation in a serial manner
expect_specially | Perform a specialized validation with a user-defined function
expect_tbl_match | Does the target table match a comparison table?
export_report | Export an _agent_, _informant_, _multiagent_, or table scan to HTML

## -- F --

file_tbl | Get a table from a local or remote file
from_github | Specify a file for download from GitHub

## -- G --

game_revenue | A table with game revenue data
game_revenue_info | A table with metadata for the 'game_revenue' dataset
get_agent_report | Get a summary report from an agent
get_agent_x_list | Get the agent's *x-list*
get_data_extracts | Collect data extracts from a validation step
get_informant_report | Get a table information report from an _informant_ object
get_multiagent_report | Get a summary report using multiple agents
get_sundered_data | Sunder the data, splitting it into 'pass' and 'fail' pieces
get_tt_param | Get a parameter value from a summary table

## -- H --

has_columns | Determine if one or more columns exist in a table

## -- I --

incorporate | Given an _informant_ object, update and incorporate table snippets
info_columns | Add information that focuses on aspects of a data table's columns
info_columns_from_tbl | Add column information from another data table
info_section | Add information that focuses on some key aspect of the data table
info_snippet | Generate a useful text 'snippet' from the target table
info_tabular | Add information that focuses on aspects of the data table as a whole
interrogate | Given an agent that has a validation plan, perform an interrogation

## -- L --

log4r_step | Enable logging of failure conditions at the validation step level

## -- R --

read_disk_multiagent | Read *pointblank* _agents_ stored on disk as a _multiagent_
remove_steps | Remove one or more of an _agent_'s validation steps
rows_complete | Are row data complete?
rows_distinct | Are row data distinct?
row_count_match | Does the row count match that of a different table?

## -- S --

scan_data | Thoroughly scan a table to better understand it
serially | Run several tests and a final validation in a serial manner
set_tbl | Set a data table to an _agent_ or an _informant_
small_table | A small table that is useful for testing
small_table_sqlite | An SQLite version of the 'small_table' dataset
snip_highest | A 'fn' for 'info_snippet()': get the highest value from a column
snip_list | A 'fn' for 'info_snippet()': get a list of column categories
snip_lowest | A 'fn' for 'info_snippet()': get the lowest value from a column
snip_stats | A 'fn' for 'info_snippet()': get an inline statistical summary
specially | Perform a specialized validation with a user-defined function
specifications | A table containing data pertaining to various specifications
stock_msg_body | Provide simple email message body components: body
stock_msg_footer | Provide simple email message body components: footer
stop_if_not | A specialized version of 'stopifnot()' for *pointblank*: 'stop_if_not()'
stop_on_fail | Set action levels: failure thresholds and functions to invoke

## -- T --

tbl_get | Obtain a materialized table via a table store
tbl_match | Does the target table match a comparison table?
tbl_source | Obtain a table-prep formula from a table store
tbl_store | Define a store of tables with table-prep formulas: a table store
test_col_count_match | Does the column count match that of a different table?
test_col_exists | Do one or more columns actually exist?
test_col_is_character | Do the columns contain character/string data?
test_col_is_date | Do the columns contain R 'Date' objects?
test_col_is_factor | Do the columns contain R 'factor' objects?
test_col_is_integer | Do the columns contain integer values?
test_col_is_logical | Do the columns contain logical values?
test_col_is_numeric | Do the columns contain numeric values?
test_col_is_posix | Do the columns contain 'POSIXct' dates?
test_col_schema_match | Do columns in the table (and their types) match a predefined schema?
test_col_vals_between | Do column data lie between two specified values or data in other columns?
test_col_vals_decreasing | Are column data decreasing by row?
test_col_vals_equal | Are column data equal to a fixed value or data in another column?
test_col_vals_expr | Do column data agree with a predicate expression?
test_col_vals_gt | Are column data greater than a fixed value or data in another column?
test_col_vals_gte | Are column data greater than or equal to a fixed value or data in another column?
test_col_vals_increasing | Are column data increasing by row?
test_col_vals_in_set | Are column data part of a specified set of values?
test_col_vals_lt | Are column data less than a fixed value or data in another column?
test_col_vals_lte | Are column data less than or equal to a fixed value or data in another column?
test_col_vals_make_set | Is a set of values entirely accounted for in a column of values?
test_col_vals_make_subset | Is a set of values a subset of a column of values?
test_col_vals_not_between | Do column data lie outside of two specified values or data in other columns?
test_col_vals_not_equal | Are column data not equal to a fixed value or data in another column?
test_col_vals_not_in_set | Are data not part of a specified set of values?
test_col_vals_not_null | Are column data not 'NULL'/'NA'?
test_col_vals_null | Are column data 'NULL'/'NA'?
test_col_vals_regex | Do strings in column data match a regex pattern?
test_col_vals_within_spec | Do values in column data fit within a specification?
test_conjointly | Perform multiple rowwise validations for joint validity
test_rows_complete | Are row data complete?
test_rows_distinct | Are row data distinct?
test_row_count_match | Does the row count match that of a different table?
test_serially | Run several tests and a final validation in a serial manner
test_specially | Perform a specialized validation with a user-defined function
test_tbl_match | Does the target table match a comparison table?
tt_string_info | Table Transformer: obtain a summary table for string columns
tt_summary_stats | Table Transformer: obtain a summary stats table for numeric columns
tt_tbl_colnames | Table Transformer: get a table's column names
tt_tbl_dims | Table Transformer: get the dimensions of a table
tt_time_shift | Table Transformer: shift the times of a table
tt_time_slice | Table Transformer: slice a table with a slice point on a time column

## -- V --

validate_rmd | Perform *pointblank* validation testing within R Markdown documents

## -- W --

warn_on_fail | Set action levels: failure thresholds and functions to invoke
write_testthat_file | Transform a *pointblank* agent to a *testthat* test file

## -- X --

x_read_disk | Read an _agent_, _informant_, _multiagent_, or table scan from disk
x_write_disk | Write an _agent_, _informant_, _multiagent_, or table scan to disk

## -- Y --

yaml_agent_interrogate | Get an _agent_ from *pointblank* YAML and 'interrogate()'
yaml_agent_show_exprs | Display validation expressions using *pointblank* YAML
yaml_agent_string | Display *pointblank* YAML using an agent or a YAML file
yaml_exec | Execute all agent and informant YAML tasks
yaml_informant_incorporate | Get an _informant_ from *pointblank* YAML and 'incorporate()'
yaml_read_agent | Read a *pointblank* YAML file to create an _agent_ object
yaml_read_informant | Read a *pointblank* YAML file to create an _informant_ object
yaml_write | Write *pointblank* objects to YAML files