detect_backend

The detection will be made based on the class of the object as well as the packages installed.
For example, if a <code>data.frame</code> is used, it will look if <code>data.table</code> or <code>dplyr</code> are installed on the system, as they provide more speed.
Note the main functions will revert the

Allows you to define rules which can be used to verify a given
dataset.
The package acts as a thin wrapper around more powerful data packages such
as 'dplyr', 'data.table', 'arrow', and 'DBI' ('SQL'), which do the heavy lifting.

David Zimmermann

dataverifyr

A Lightweight, Flexible, and Fast Data Validation Package that
Can Handle All Sizes of Data

David Zimmermann-Kollenda

Beniamino Green

detect_backend function

<dl><dt>x</dt>
<dd>The data object, ie a data.frame, tibble, data.table, arrow, or DBI object</dd></dl>

Arguments

Detects the backend which will be used for checking the rules — detect_backend

<dl>

<dt>x</dt>
<dd>The data object, ie a data.frame, tibble, data.table, arrow, or DBI object</dd>

</dl>

detect_backend: Detects the backend which will be used for checking the rules

Description

Usage

Value

Arguments

See Also

Examples