new_join_report

internal

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

new_join_report function

<dl><dt>x_summary</dt>
<dd>Summary statistics for keys in the left table.</dd>
<dt>y_summary</dt>
<dd>Summary statistics for keys in the right table.</dd>
<dt>match_analysis</dt>
<dd>Details of which keys will/won't match.</dd>
<dt>issues</dt>
<dd>List of detected problems.</dd>
<dt>expected_rows</dt>
<dd>Predicted row counts for each join type.</dd>
<dt>by</dt>
<dd>The columns used for joining.</dd></dl>

Arguments

Create a JoinReport Object — new_join_report

<dl>

<dt>x_summary</dt>
<dd>Summary statistics for keys in the left table.</dd>


<dt>y_summary</dt>
<dd>Summary statistics for keys in the right table.</dd>


<dt>match_analysis</dt>
<dd>Details of which keys will/won't match.</dd>


<dt>issues</dt>
<dd>List of detected problems.</dd>


<dt>expected_rows</dt>
<dd>Predicted row counts for each join type.</dd>


<dt>by</dt>
<dd>The columns used for joining.</dd>

</dl>

new_join_report: Create a JoinReport Object

Description

Usage

Value

Arguments