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Data Cleaning

Data Cleaning

Data Cleaning

Just looking for any tips/tricks you may have for dealing with "messy" data.  I am working with some survey data that is pretty messy so I am just interested in how others deal with it.  

RE: Data Cleaning

For example, one thing I am trying to do is get rid of any special characters in an ID.  I read about the one person using compress or prk, however what if you have an ID with "# 123456" - that would not get rid of the space after the #.   

RE: Data Cleaning

I am not sure what you mean that the compress function doesn't remove blanks after the pound sign.  I have successfully used that function to remove blanks from a value with a pound sign.

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