Regular expressions for the rest of us
Regular expressions are a powerful way to slice, dice and clean up dirty data — a must-know skill for anyone who works with data. They may look intimidating, but they are really just pattern-matching puzzles. We'll learn the fundamentals of "regex" so you save time cleaning your next batch of data.
This session is good for: People who have ever done more than two search/replace actions to clean a data set or had to split a ZIP code from an address or otherwise want to conquer their fears of regex.
Christian McDonald is an Assistant Professor of Practice at the University of Texas at Austin's School of Journalism, with a focus on data journalism and programming. His most recent professional position was Data Editor and Online Projects editor at the Austin American-Statesman. He also worked at the Atlanta Journal-Constitution and Cox publications in suburban Phoenix and Longview, Texas. Find him as @crit on Twitter.
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