1. A computer-implemented method for analyzing a plurality of first digital interactions observed from a first time period, the method comprising acts of: (A) identifying a plurality of first values of an attribute, each value of the plurality of first values corresponding respectively to a digital interaction of the plurality of first digital interactions observed from the first time period; (B) dividing the plurality of first values into a plurality of buckets; (C) for at least one bucket of the plurality of buckets, determining a count of values from the plurality of first values that fall within the at least one bucket; (D) comparing, by at least one processor, the count of values from the plurality of first values that fall within the at least one bucket against historical information regarding the attribute, wherein: the historical information regarding the attribute comprises an expected count for the at least one bucket; the count of values from the plurality of first values that fall within the at least one bucket is compared against the expected count for the at least one bucket; the expected count for the at least one bucket comprises a count of values from a plurality of second values of the attribute that fall within the at least one bucket; each value of the plurality of second values corresponds respectively to a digital interaction of a plurality of second digital interactions; the plurality of second digital interactions were observed from a second time period, the second time period having a same length as the first time period; and the first time period occurs after the second time period; (E) determining whether the attribute is anomalous over the first time period, based at least in part on a result of the act (D); and (F) in response to determining that the attribute is anomalous over the first time period, storing, in a profile, information regarding the attribute.