In the Matching Type column, set the matching
methods you want to use on each of the selected columns.
In this example, Leveshtein is to be used as the matching
method for the FirstName, Email, and
ZipCode columns, Double Metaphone is to be
used as the matching method for the City column.
Then set the minimum and maximum distances for the Levenshtein
method. In this method, the distance is the number of character changes (insertion,
deletion or substitution) that needs to be carried out in order for the entry to fully
match the reference. In this example, we want the min. distance to be 0 and the max.
distance to be 2. This will output all entries in the FirstName,
Email, and ZipCode columns that exactly
match or that have maximum two character changes. There is no minimum nor maximum
distance to set for Double Metaphone because this matching method
is based on phonetic discrepancies in the input data.