assert_field_existence

This function checks whether all fields that existed in a previous dataset are still present in a new dataset, based on a metadata reference.
It warns if any fields from the previous dataset are missing in the new dataset.

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_existence function

<dl><dt>new_data</dt>
<dd>A data frame. The new dataset whose field names need to be checked.</dd>
<dt>previous_data</dt>
<dd>A data frame. The previous dataset used as a reference for expected fields.</dd>
<dt>metadata</dt>
<dd>A data frame. Metadata containing a column named <code>raw_field_name</code>, which defines the expected field names.</dd></dl>

Arguments

Assert Field Existence in New Data — assert_field_existence

<dl>

<dt>new_data</dt>
<dd>A data frame. The new dataset whose field names need to be checked.</dd>


<dt>previous_data</dt>
<dd>A data frame. The previous dataset used as a reference for expected fields.</dd>


<dt>metadata</dt>
<dd>A data frame. Metadata containing a column named <code>raw_field_name</code>, which defines the expected field names.</dd>

</dl>

assert_field_existence: Assert Field Existence in New Data

Description

Usage

Value

Arguments