This paper explores two tools for evaluating irregular sequences of numbers occurring in the operation of computer networks. The time series might be interarrival times, packet lengths, or IP destination addresses. The tools were developed because there is a need for network designers and administrators to understand network traffic, an understanding not provided by conventional statistical methods. An application of the tools would be comparison of real and synthetic sequences; should a synthetic sequence not yield the same outputs as a real sequence, then use of the synthetic sequence in modeling would be questionable. The first tool is a modification of fractal dimension work in other fields, notably radar research. Its application is limited to data for which a numerical comparison makes sense, such as time lengths. The second tool essentially discovers the same thing as the first, the existence of data points that are visited frequently. However, the second tool does not rely upon a metric and so can be applied to data such as addresses.