Data cleaning

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Tips/Tricks for Data cleaning...
Tips/Tricks for Data cleaning...
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* Try to be consistent in what outliers method you use when cleaning data.   
* Try to be consistent in what outliers method you use when cleaning data.   
* S+ and other robust procedures inherently correct for outliers.
* S+ and other robust procedures inherently correct for outliers.
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* SPSS tukey’s box plot rule and graph’s boxlot allow you to see outliers
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* SPSS tukey’s box plot rule and graph’s boxlot allow you to see outliers
* Winzoring is another good idea.
* Winzoring is another good idea.
* Both univariate and Multivariate outlier analysis should be conducted.
* Both univariate and Multivariate outlier analysis should be conducted.
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Revision as of 08:05, 19 December 2008

Tips/Tricks for Data cleaning...

(this page has just been created... can you think of more tips to add...)




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