Today I have gone through the dataset. Below are my observations:
There are 17 attributes and 8002 instances. When I looked at the data, I have seen many inconsistencies and inaccuracies. There are many missing values in almost of all the attributes. I have found few interesting attributes which can be explored further like ages, gender , and city or state. I think using these attributes we can generate few interesting insights and these three are the attributes with which we can move forward for the further analysis. Another interesting attribute with which we can move forward is the mental illness. So, by this attribute we can determine whether the significant proportion of crimes may be linked to the individuals with mental illness. By attributes such as age , gender, and location we can also decide whether a notable proportion of crimes may be associated with distinct age groups, specific cities or states, as well as varying genders and various ethnicity.