Levenshtein distance examples

Now let's take a closer look at how we can use the levenshtein function to match strings against text data. If you recall, the levenshtein distance represents the number of edits required to convert one string to another string being compared.

In a search application or when performing data analysis on any data that contains manual user input, you will always want to account for typos or incorrect spellings. The levenshtein function provides a great method for performing this task. In this exercise, we will perform a query against the film table using a search string with a misspelling and use the results from levenshtein to determine a match. Let's check it out.