This is the second part in a unit on input modeling for simulating stochastic systems (stochastic simulation). In the this part, we describe how to start making sense of data collected from real-world systems. We start with an example that builds a model of a single-server, single-channel queue based on summary statistics alone and demonstrate that the resulting model is a poor fit for a realistic system. We then use a histogram to reveal insights into how the system can be re-structured to be more realistic while also requiring simpler input models. This leads into a discussion on building histograms to be maximally insightful.