.detect_near_matches

Finds keys that almost match (small edit distance).

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

.detect_near_matches function

<dl><dt>x_keys</dt>
<dd>Unique keys from left table.</dd>
<dt>y_keys</dt>
<dd>Unique keys from right table.</dd>
<dt>max_distance</dt>
<dd>Maximum 'Levenshtein' distance to consider a near-match.</dd>
<dt>max_candidates</dt>
<dd>Maximum number of near-match candidates to return.</dd></dl>

Arguments

Detect Near-Matches Between Keys — .detect_near_matches

<dl>

<dt>x_keys</dt>
<dd>Unique keys from left table.</dd>


<dt>y_keys</dt>
<dd>Unique keys from right table.</dd>


<dt>max_distance</dt>
<dd>Maximum 'Levenshtein' distance to consider a near-match.</dd>


<dt>max_candidates</dt>
<dd>Maximum number of near-match candidates to return.</dd>

</dl>

.detect_near_matches: Detect Near-Matches Between Keys

Description

Usage

Value

Arguments