The presence of null values in the data may result in clusters that differ from those that would have resulted from zero or numeric values. Since null data values may bias or invalidate the analysis, they should be replaced or the column eliminated. Alternatively, the listwise deletion option can be selected to exclude rows with any null values in the preprocessing phase.