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Using Regular Expressions for Data Management in Stata

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  • Rose Medeiros

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

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.

Suggested Citation

  • Rose Medeiros, 2007. "Using Regular Expressions for Data Management in Stata," West Coast Stata Users' Group Meetings 2007 5, Stata Users Group.
    • Handle: RePEc:boc:wsug07:5
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    File URL: http://repec.org/wcsug2007/medeiros_reg_ex.pdf
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