Today in the dataset I have observed fatal police shooting dataset contains 17 attributes and 8002 instances. I saw there were many inconsistencies and inaccuracies. There were many missing values in almost all the attributes. However, I have found few interesting attributes that can be looked furtherly, such as age, gender, city/state and mental illness. By analyzing the age attribute maybe we can determine whether a notable proportion of shootings that are associated to distinct age groups. Taking the gender attribute, we can determine notable proportion of shootings like whether men are more likely to be killed or not?. Then by analyzing the city or state whether shootings are associated with specific geographic locations like certain cities or states have higher rates of fatal shootings. Finally the mental illness attribute can determine whether crimes may be associated to individual mental illness.
I believe that age, gender and city/state are most promising attributes for further analysis.