I conducted a correlation analysis to explore the relationship between age and armed status, and although the correlation outcomes revealed a weak connection, it prompted me to delve further into whether specific age groups exhibit a higher prevalence of particular weapons, such as guns. To investigate this, I employed seaborn’s barplot function to generate a stacked bar plot. In this plot, each age group’s bar is subdivided into segments, representing the counts of different weapon categories. I focused on armed statuses involving guns, knives, and being unarmed, as they play a more dominant role in the dataset. Attached below a screenshot of the result. Notably, the analysis reveals that the age group 19-30 exhibits a higher incidence of individuals carrying guns or knives. Additionally, the visual representation highlights instances of underage possession of guns.
