full_join_spy

Performs a full join and automatically prints diagnostic information.

Provides diagnostic tools for understanding and debugging data frame
joins. Analyzes key columns before joining to detect duplicates, mismatches,
encoding issues, and other common problems. Explains unexpected row count
changes and provides safe join wrappers with cardinality enforcement. Concepts
and diagnostics build on tidy data principles as described in Wickham (2014)
<doi:10.18637/jss.v059.i10>.

Gilles Colling

joinspy

Diagnostic Tools for Data Frame Joins

full_join_spy function

<dl><dt>x</dt>
<dd>A data frame (left table).</dd>
<dt>y</dt>
<dd>A data frame (right table).</dd>
<dt>by</dt>
<dd>A character vector of column names to join by.</dd>
<dt>verbose</dt>
<dd>Logical. If <code>TRUE</code> (default), prints diagnostic summary.</dd>
<dt>.quiet</dt>
<dd>Logical. If <code>TRUE</code>, suppresses all output (overrides <code>verbose</code>).
Useful for silent pipeline operations. Use <code>last_report()</code> to access the
diagnostics afterward.</dd>
<dt>...</dt>
<dd>Additional arguments passed to the underlying join function.</dd></dl>

Arguments

Full Join with Diagnostics — full_join_spy

<dl>

<dt>x</dt>
<dd>A data frame (left table).</dd>


<dt>y</dt>
<dd>A data frame (right table).</dd>


<dt>by</dt>
<dd>A character vector of column names to join by.</dd>


<dt>verbose</dt>
<dd>Logical. If <code>TRUE</code> (default), prints diagnostic summary.</dd>


<dt>.quiet</dt>
<dd>Logical. If <code>TRUE</code>, suppresses all output (overrides <code>verbose</code>).
Useful for silent pipeline operations. Use <code>last_report()</code> to access the
diagnostics afterward.</dd>


<dt>...</dt>
<dd>Additional arguments passed to the underlying join function.</dd>

</dl>

full_join_spy: Full Join with Diagnostics

Description

Usage

Value

Arguments

See Also