The Regex tool is a super-powered search-and-match tool, like “Find” in a text editor but much more flexible. It’s a pattern-matching language that lets you describe what you’re looking for rather than searching for exact text. To exemplify, you could use (\d+) to extract all the numbers from a column. Check out the examples at the end of the page for additional examples. Regex (short for Regular Expressions) utilies a special language to extract certain elements of a text/string column.

Regex Cheatsheet

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Configuration

The Regex tool consists of three required input.
1

Select Column

Select the column you want to extract text from with Regex
2

Input Column Name

The Regex tool will create a new column. Use this input to name it.
3

Input Regex

Input your regex statement. You can only extract one regex group at the time. Remeber to add parentheses around your marked group.

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When To Use

The Regex tool is helpful when you have suboptimal data quality and need to standardize the data:
  • You have different date formats (e.g. US, European and ISO) and would like to standardize these
  • Your HR systems use different time formats (24-hour clock, AM/PM, etc.) and you need to standardize these
  • You need to extract social media handles or hashtags from customer feedback or mentions
  • Extract and standarize ratings from customer reviews

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Examples