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. Supports checks implied
by an SDMX DSD file as well. See also Van der Loo
and De Jonge (2018) <doi:10.1002/9781118897126>, Chapter 6
and the JSS paper (2021) <doi:10.18637/jss.v097.i10>.

Mark der Loo

validate

Data Validation Infrastructure

Mark van der Loo

Edwin de Jonge

Paul Hsieh

lbj_rules-class function

<dl>
<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><a href="/link/plot()?package=validate&version=1.1.5" data-mini-rdoc="validate::plot()">plot()</a></code></dt>
<dd>plot rule comparisons</dd>

Methods

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

<dl>
<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>


<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><a href='https://rdrr.io/r/graphics/plot.default.html'>plot()</a></code></dt>
<dd>plot rule comparisons</dd>


</dl>

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

Description

Arguments

Methods

See Also