There probably are not fifty ways to lose your data, but there are a bunch. Of course, if we all backed up our data prior to working with it, there wouldn’t be a problem; however, that’s not always a practical solution, especially if your data sets are large. By being aware of coding syntax that can lead to data destruction, you can avoid finding yourself with a data set containing zero (0) observations. The techniques in this paper can help anyone from the novice to the experienced user prevent disasters. If you’ve never had this problem, these techniques will allow you to continue to be quite proud of yourself.
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