Observation of Data

By observing the dataset, I can see that there are some missing values which need to be handled. From this dataset we can acquire and can be explore the distribution of fatal police shootings by various factors, such as gender, race, age, armed status, city, and state.

There is a possible way to visualize trends over time, such as the number of fatal shootings by year and month. By examining the relationship between signs of mental illness and the manner of death. Even we can do the investigation of the prevalence of body camera usage during these incidents.

Utilizing the longitudes and latitudes we can analyze the location of these incidents and proximity of shootings to police stations.

Statistical analysis on factors like race, gender, and armed status as well as temporal patterns in these incidents. Using clustering algorithms to identify groups or patterns in the data. Through data visualization we can visually appeal the data plots and can be represented the data effectively.