Context Chicago has earned a reputation for being a violent city. As such, it has a large police force tasked with patrolling a large area and investigating thousands of incidents every year. The data show the expansive collection of information gathered by Chicago police officers. Content Start with the ISR Data Dictionary to get a description of what each column represents. Keep in mind that data entered in the reports may differ by reporting officer. For example, a gang name may contain numerals in its name or the number spelled out. Acknowledgements Data gathered from the Chicago Police Department and `https://home.chicagopolice.org/` Inspiration Based upon the ISR data, are there *demographic* or *geographic* patterns to police stops? How many investigations are drug or weapons related? What kinds of predictive models can be made from these data looking at season/date, location, or gang affiliation? Can you identify gang *colors* from the data?