.predict_row_counts

Estimates the number of rows that will result from different join types.

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

.predict_row_counts 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>Column names to join by.</dd></dl>

Arguments

Predict Row Counts for Different Join Types — .predict_row_counts

<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>Column names to join by.</dd>

</dl>

.predict_row_counts: Predict Row Counts for Different Join Types

Description

Usage

Value

Arguments