lbj_rules-class

lbj_rules

Logging object to use with the lumberjack package

Declare data validation rules and data quality indicators;
confront data with them and analyze or visualize the results.
The package supports rules that are per-field, in-record,
cross-record or cross-dataset. Rules can be automatically
analyzed for rule type and connectivity. See also Van der Loo
and De Jonge (2018) <doi:10.1002/9781118897126>,
chapter 6.

Mark der Loo

validate

Data Validation Infrastructure

Mark van der Loo

Edwin de Jonge

Paul Hsieh

lbj_rules-class function

<dl class="dl-horizontal">
<dt><code>dump(file = NULL, ...)</code></dt><dd>Dump logging info to csv file. 
All arguments in '...' except row.names are passed to 'write.csv'</dd></dl><dt><code>initialize(rules, verbose = TRUE, label = "")</code></dt><dd>Create object. Optionally toggle verbosity.</dd><dt><code>log_data()</code></dt><dd>Return logged data as a data.frame</dd><dt><code>plot()</code></dt><dd>plot rule comparisons</dd>

Methods

Logging object to use with the lumberjack package — lbj_rules-class

Logging object to use with the lumberjack package

lbj_rules-class: Logging object to use with the lumberjack package

Description

Arguments

Methods

See Also