![]() There are two ways of correcting errors in a dataset, depending on whether you have access to the original questionnaires or not.īefore correcting the errors, you need to find where the errors are in the dataset. Once you have identified the errors, the next step is to correct them. In the example above, the variable of interest is “annual interest rate” on loans/credit and the maximum value is 600, which does not make sense. Do the minimum and maximum values make sense, given the nature of the variable? Do the mean and standard deviation make sense? If there is an outlier in the data, the mean will be affected. ![]() The above procedure is demonstrated in the images below:Ĭheck if the statistics make sense.
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