Abstract
This article is a practical review on how to construct tables and graphs to monitor temporal crime trends. Such advice is mostly applicable to crime analysts to improve the readability of their products, but is also useful to general consumers of crime statistics in trying to identify crime trends in reported data. First the use of percent change to identify significant changes in crime trends is critiqued, and an alternative metric based on the Poisson distribution is provided. Then visualization principles to constructing tables are provided, and a practical example of remaking a poor table using these guidelines is shown. Finally the utility of using time series charts to easily identify short term and long increases, as well as outliers in seasonal data using examples with actual crime data is illustrated.
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