Comprehensive Visualization of Causes and Timelines
Each dot represents a person. Vertically separated by cause.
A defining characteristic of this dataset is the overwhelming prevalence of Unsure, Unknown, or generically labeled Medical causes. This lack of specificity often points to a systemic issue: privacy concerns, stigma surrounding the industry, or a lack of close family networks to publicly document the specific nature of passing.
The data reveals significant clusters of Suicide and Overdose deaths. While these may appear smaller than general medical causes, their distinct presence across various years highlights critical mental health challenges and vulnerability to substance abuse within the community that require attention.
The timeline allows us to observe distinct historical impacts. For instance, the tragic impact of the AIDS epidemic is clearly visible during the 1980s and 90s. In contrast, more recent years show different patterns, potentially reflecting an aging demographic alongside continuing challenges with accidental deaths.
Select two categories to distribute the "Unknown" and "Unsure" cases between. Move the slider to adjust the percentage split.