HugoMosso's Statistics Site

• Are some protests more likely to take place in cities than others?
  • Because of their greater exposure and population density, urban areas may see more coordinated or nonviolent protests, whereas rural areas may experience more issue-specific or local conflicts.
• Is coverage of protests biased by the media?
  • Potential media bias may be seen in the underreporting of some protest types or locations while others receive more national attention.

How have the protests evolved over-time? Could this shift be traced back to policy changes?

Which groups are more involved in political activism?

Is there a geographical trend of frequent civil unrests?

How often did Union protests turned out to be violent?

Were there any spikes in fatalities during times of civil unrest or major events like sports, elections, or protests?

Which age group is most likely to be armed?

Are there differences in casualty rates among police departments based on population size?

• What percentage of cops had their body cameras off?
  • Is there a pattern between the casualty rates and factors such as race, gender, mental health status of the victims?
  • I’ve noticed that whenever a casualty was deemed mental illness-related, most of the time, the police officers also had their body cameras off. Is there a correlation?
  • Depending on the state and the police station, some cops can turn their body cameras off in certain instances. Are they taking advantage of this law’s flexibility? If they claim the person they shot had a mental illness, we have no choice but to believe them, considering there’s no body cam footage to prove them otherwise.
• Based on the data provided, is it possible to determine if blue states/counties are more violent than red ones, as some people claim?

MTH 522 

January 24 2025

• Washington Post Police Shooting Dataset.
  • Upon analyzing the Washington Post Police Shooting dataset, these are the questions that I came up with:

• • • Which day/month/year had the most casualties?
    • Which age group had the most casualties?
    • How does the age distribution of female casualties differ from the male ones?
    • How many of the victims were armed/unarmed?
    • Which race had the most casualties?
    • Which city/state had the most casualties?
    • How many fled the scene? How did they flee?
    • How many victims presented signs of mental illnesses?
    • Which police department had the most casualties?

It is worth noting that some columns contain null values which could potentially disrupt the data analysis process and other machine learning techniques.