A method for detecting causality violations in tabulated frequency-domain data is presented. The method employs the discrete Hilbert transform for separating the causal and noncausal parts of the tabulated data. Hence, it does not involve a time domain transformation, which prevents effects caused by Gibbs oscillations. In addition, the method allows to determine which frequency bands are responsible for the noncausal behavior.