About the plot:
- The variable race_index has armed categories by the total sum of years of life lost in descending order.
- The variable values have the total YLL years of each armed category.
- While plotting I used logarithm on the yll values to make the plot visually apparent, especially when there are categories with much higher YLL than others. It helps in identifying trends and patterns more clearly.
- So the plot represents Armed categories on the x-axis and log transformed values of YLL on the y-axis.
Interpretations:
- The gun category has by far the highest number of years of life lost which indicates that fatal police shootings involving guns result in a significantly higher loss of potential years of life compared to other categories.
- Categories such as knife, machete, etc., also have notable YLL values. This suggests that incidents involving edged weapons, although not as high as firearms, are associated with substantial losses of potential years of life.
- It’s notable that the unarmed category also contributes significantly to the YLL, indicating that even when individuals are unarmed, there can be a considerable loss of potential years of life in fatal police shootings. This finding emphasizes the importance of considering the consequences of unarmed incidents.