Abstract
This paper identifies the data science problem of “What Promotes Crimes?”.
Several factors, like moon phase, weather, days of a week, education rate and adult obesity/smoking rate are used to see how different factors affect certain types of crime more closely. And crime is categorized into the following groups:
Assault, Burglary, Death, Drug, Fraud, Robbery, Theft, Sexual.
Data for the US major cities are collected:
Austin, Baton Rouge, Boston, Chicago, Denver, Detroit, Hartford, Los Angeles, New Orleans, New York, San Francisco, Washington DC, etc.
Introduction
Crime has always been an intriguing topic for the majority of people. It has a close relationship with the safety of each individual. Thus, in order to help society to develop a better understanding of the nation’s living standard and its law enforcement agencies, studying crime becomes an important part in the criminal justice system.
By closely examining the social and psychological factors that cause people to commit crimes, it also increase the possibility for individuals to better protect themselves against crime.
Various studies relate to the influences of demographics, ethnicity, or socioeconomic status on crimes have been analyzed. However, crime can not be fully explained by only a single factor. Figuring out how different factors, traits or backgrounds such as moon phase, weather, days of a week, education rate and adult obesity/smoking rate can potentially contribute to a propensity to commit crimes can be seen as one possible angle to better study crime.