run_all_assertions

This function performs multiple validation checks on a dataset using various assertion functions.
It loads metadata from specified CSV files, validates the dataset against expected field properties,
and stops execution if any warnings are encountered.

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

run_all_assertions function

<dl><dt>new_data</dt>
<dd>A data frame. The dataset to validate.</dd>
<dt>output_dir</dt>
<dd>A character string. The directory containing metadata CSV files (<code>field_info.csv</code>, <code>numeric_details.csv</code>, <code>data_types.csv</code>).</dd></dl>

Arguments

Run All Data Validation Assertions — run_all_assertions

<dl>

<dt>new_data</dt>
<dd>A data frame. The dataset to validate.</dd>


<dt>output_dir</dt>
<dd>A character string. The directory containing metadata CSV files (<code>field_info.csv</code>, <code>numeric_details.csv</code>, <code>data_types.csv</code>).</dd>

</dl>

run_all_assertions: Run All Data Validation Assertions

Description

Usage

Value

Arguments