assert_field_distinctness

This function checks whether the uniqueness of columns in a new dataset matches the expected uniqueness
defined in a metadata reference. It warns if any columns do not conform to the expected uniqueness.

Offers a comprehensive set of assertion tests to help users validate the integrity of their data.
These tests can be used to check for specific conditions or properties within a dataset and
help ensure that data is accurate and reliable.
The package is designed to make it easy to add quality control checks to data analysis
workflows and to aid in identifying and correcting any errors or inconsistencies in data.

Tomer Iwan

vvauditor

Creates Assertion Tests

Hajo Bons

assert_field_distinctness function

<dl><dt>new_data</dt>
<dd>A data frame. The dataset whose column uniqueness needs to be verified.</dd>
<dt>metadata</dt>
<dd>A data frame. Metadata containing a column named <code>is_unique_column</code>, indicating whether each field is expected to be unique.</dd></dl>

Arguments

Assert Field Uniqueness Consistency Between Data and Metadata — assert_field_distinctness

<dl>

<dt>new_data</dt>
<dd>A data frame. The dataset whose column uniqueness needs to be verified.</dd>


<dt>metadata</dt>
<dd>A data frame. Metadata containing a column named <code>is_unique_column</code>, indicating whether each field is expected to be unique.</dd>

</dl>

assert_field_distinctness: Assert Field Uniqueness Consistency Between Data and Metadata

Description

Usage

Value

Arguments