Using Regular Expressions for Data Management in Stata

Rose Medeiros ()
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Rose Medeiros: Statistical Consulting Group, ATS, University of California Los Angeles

West Coast Stata Users' Group Meetings 2007 from Stata Users Group

Abstract: Regular expressions make a number of data management operations involving string variables much easier. They do this by allowing the user to search for (and copy or replace) complex patterns of characters within a string. Examples of when regular expression are useful include extracting zip codes from addresses, reformatting dates if they were entered in an inconsistent manner, and removing excess spaces from string expressions. This presentation will give the user a basic introduction to the use of regular expressions, and the Stata functions related to regular expressions, as well as examples of applications where regular expressions can be used to streamline data management.

Date: 2007-10-31
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http://repec.org/wcsug2007/medeiros_reg_ex.pdf presentation slides (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:boc:wsug07:5

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