lock_complete

Checks that all columns have no NA values.

Helps make implicit data assumptions explicit by attaching
keys to flat-file data that error when those assumptions are violated.
Designed for CSV-first workflows without database infrastructure or version
control. Provides key definition, assumption checks, join diagnostics, and
optional drift detection against reference snapshots.

Gilles Colling

keyed

Explicit Key Assumptions for Flat-File Data

lock_complete function

<dl><dt>.data</dt>
<dd>A data frame.</dd>
<dt>.strict</dt>
<dd>If <code>TRUE</code>, error on failure. If <code>FALSE</code> (default), warn.</dd></dl>

Arguments

Assert that data is complete (no missing values anywhere) — lock_complete

<dl>

<dt>.data</dt>
<dd>A data frame.</dd>


<dt>.strict</dt>
<dd>If <code>TRUE</code>, error on failure. If <code>FALSE</code> (default), warn.</dd>

</dl>

lock_complete: Assert that data is complete (no missing values anywhere)

Description

Usage

Value

Arguments