messy_names.df

datasets

Matching with string distance has never been easier! 'messy.cats' contains various functions that employ string distance tools in order to make data management easier for users working with categorical data. Categorical data, especially user inputted categorical data that often tends to be plagued by typos, can be difficult to work with. 'messy.cats' aims to provide functions that make cleaning categorical data simple and easy.

Harrison Karp

messy.cats

Employs String Distance Tools to Help Clean Categorical Data

Andrew Hennessy

Duncan Kreutter

messy_names.df function

A data frame with 80 rows and 2 variables:<dl>
<dt><code>first</code></dt>
<dd>character Messy first names</dd><dt><code>last</code></dt>
<dd>character MEssy last names</dd>
</dl>

Format

messy_names.df — messy_names.df

A data frame with 80 rows and 2 variables:<dl>
<dt><code>first</code></dt>
<dd>character Messy first names</dd>

<dt><code>last</code></dt>
<dd>character MEssy last names</dd>


</dl>

messy_names.df: messy_names.df

Description

Usage

Arguments

Format

Details