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Abstract
In this thesis, police reports from the city of San Luis Obispo, California (2009-2017) are explored and analyzed in order to identify various trends and to forecast future criminal activity. In particular, the distributions of the different groups of crimes are visualized over various time periods and several autoregressive integrated moving average (ARIMA) time series models are considered. The graphics are important for reasons such as recognizing trends and patterns over certain periods of time.