After examining the Washington Post dataset on police shootings, I’ve identified several interesting avenues for exploration. The dataset contains attributes such as agencies and IDs, which provide an opportunity to assess whether some law enforcement agencies are more frequently involved in shootings than others. By analyzing the data, we can also pinpoint the locations where these agencies are most active.
Age is another crucial factor to consider. We can investigate the age groups to which most victims belong. Additionally, we can compare the average ages of victims from different racial backgrounds. To perform this analysis, we might employ statistical tests like t-tests, but it’s essential to ensure that our data follows a normal distribution. Given the diversity of races and ethnicities involved, conducting a Monte Carlo test could be quite complex. As an alternative, an ANOVA test may be more practical.
Initially, I plan to create basic data distributions to gain insights and generate more ideas for the subsequent analysis.