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From | "Vitorino, Maria Ana" <vitorino@wharton.upenn.edu> |
To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
Subject | st: cleaning data efficiently |
Date | Fri, 28 Oct 2011 15:05:02 +0000 |
Dear statalist users, Suppose I have the following data: regioncode regionname X AAA Y BBB Z CCC X . X AAA Y BBB Z . Z AAA Z CCC Z CCC Assume also that the regioncode variable is correct but there are some errors and missing values in the regionname variable. 1) Is there an efficient way to fix the entries in the regionname variable? (For this we need to assume that the correspondence between regioncode and regioname that occurs more frequently is the correct one.) I usually deal with this type of issues using several lines of code so I'm wondering if there is a more efficient way making use of some stata commands that I'm not familiar with. Also, if, after correcting the mistakes, I want to 2)check if the correspondence between the two variables is unique 3) create a table with regionname regioncode and frequency of observations (but not a two-way table) What is the most efficient way? Thanks! Ana * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/