I know there is the normal subtract the mean and divide by the standard deviation for standardizing your data, but I'm interested to know if there are more appropriate methods for this kind of discrete data. Consider the following case.
I have 5 items that have been ranked by customers. First 2 items were ranked on a 1-10 scale. Others are 1-100 and 1-5. To transform everything to a 1 to 10 scale, is there another method better suited for this case?
If the data has a central tendency, then the standard would work fine, but what about when you have more of a halo effect, or some more exponential distribution?