Abstract: In order to extract abnormal information before earthquake accurately, this paper took 2017 Jinghe M_S6.6 earthquake in Xinjiang area as a sample and used methods of deviations statistics analysis and original curve analysis to study anomalous characteristics of the data before and after this earthquake from the perspective of quantitative and qualitative analysis based on the cross-fault data of W-N(k) segment of Wulumuqi seismostation. The results show that the deviation coefficients get larger and shapes of deviation distribution curves of this segment deviate from normal distribution obviously, meanwhile, shape of original curve of the segment changes by a large margin and active pattern of the fault near the seismostation reverses apparently before the earthquake, which disappear after the earthquake. The result figures prove that analyzing data anomalies using the two methods is feasible to a certain extent, which also provides a reference for anomalies recognition before earthquake.