Delivery in day(s): 5
Data Analysis Plan for Research Assignments
Task 3 – Advanced Insights
Chicago has a low safe city index due to the high domestic crimes reported per year (Zimring, 2011).
The Chicago Police Department's CLEAR (Citizen Law Enforcement Business Analysis and Reporting) system has a very low crime clearance rate because arrests are never made in most of the reported crime cases.
Narcotics crimes has the highest crime clearance rate while theft crimes has the lowest crime clearance rate.
Residential areas and the streets are the crime hot spots in Chicago. This means that there is a high prevalence of crimes in this areas (Chainey, 2008).
People absence from their residence on the day of worship is a predisposing factor for crime.
Task 6 – Cover letter
I am a data analyst currently working for Federation University Australia. In the data analysis project, I used the Watson analytic software to analyze the information about the crimes in Chicago. I have considered different aspects of the crimes as you provided. Some of the aspects I analyzed are types of crimes, location of the crimes, day when the crime was committed, and the arrest frequency against the reported cases among others. After the data analysis, there are very important insights I obtained and concluded that will be very crucial for you in the endeavor of improving the operations and in laying of strategies in order to improve the overall security of Chicago. Some of these insights are discussed below.
The crime clearance rate of Chicago, especially the theft crimes is low. This means that the ratio of the crimes reported to the crimes cleared ( Mahony, 2012), is low. This, therefore, calls for much effort to improve this condition. The residential areas and the streets are the areas that have high crime cases. This calls for increased patrols in these areas especially on Sundays, the day when the criminal cases committed are very high. This will help reduce the criminal Laws cases in Chicago and hence increase its safe city index (Helms, 2016).
Theft is the principle damage crime in Chicago but surprisingly, only a very small number theft crime perpetrators are arrested. This shows that something must be done in order to ensure that these perpetrators never go scot free so as to reduce the occurrence of these crime cases.
It is my hope that the information I provide will be of much help to you and that you will consider my recommendations in order to improve the security of Chicago.
Task 7 - The Reflection:
In obtaining data analysis skills, the project has imparted so much to us. This knowledge obtained is very crucial in our academics in future. The project also gave us an opportunity to use the Watson Analytic Software and hence helped us learn its basics and also the usage.
However, the whole project was not without challenges. The use of this software is a new software to many of us in the group was challenging and this took much of our time. Drawing of the conclusions of the analyzed data was also not a walk in the park as we had to pull all the group members efforts in coming up with complete, concrete and comprehensive conclusions of the data.
1. Zimring, F. E. (2011). The city that became safe: New York's lessons for urban crime and its control. Oxford University Press.
2. Helms, G. (2016). Towards safe city centres?: remaking the spaces of an old-industrial city. Routledge.
3. Mahony, T. H., & Turner, J. (2012). Police-reported clearance rates in Canada, 2010. Ottawa: Statistics Canada.
4. Curran, F. C. (2014). The Impacts of the Chicago Welcoming Schools' Safe Passage Program on Student Safety and Crime. Society for Research Method on Educational Effectiveness.
5. Chainey, S., Tompson, L., & Uhlig, S. (2008). The utility of hotspot mapping for predicting spatial patterns of crime. Security journal, 21(1-2), 4-28.