Today, to gain deeper insights into the dataset, I calculated frequency counts for categorical variables, including “threat_type,” “armed_with,” “was_mental_illness_related,” and “flee status.”
Here are my key observations:
- Regarding the “threat_type” category, it is evident that “shoot” and “threat” represent the most prevalent threat types, whereas “point,” “attack,” and “move” are comparatively less common.
- When examining whether victims were armed or not, it is apparent that “gun” and “knife” emerge as the predominant weapons used in these incidents. Additionally, a significant number of cases involve unarmed victims.
- With respect to flee status, Most cases do not involve fleeing (“not”).
- An analysis of the “was_mental_illness_related” category reveals that the majority of cases, approximately 79%, do not report any indication of mental illness (“False”). However, a substantial portion, around 20%, does report mental illness (“True”).
These observations might be useful in decision-making, resource allocation, and the development of policies in the relevant fields.