This is the analytics report of big data set of Chicago Crime. I had generated this report as a course assignment while studying Master of Technology at FedUni Australia.
2. Data, Background, Tools
• Dataset: 1
• Data: incidents of crime
• Location: City of Chicago
• Year: 2012 to 2016
• Generated: Chicago Police Department
• Source: data.world
• Tool Used: IBM Watson Analytics
3. Total number of reported crimes Type of crimes (Primary Type)
Number of domestic reported crimes made in
Chicago
Street, Residence, Apartment and Sidewalk are the hotspot for crimes where Theft, Battery and Narcotics are the top 3 common crime type and January is the most busy month in terms of crimes. So, a direct relationship can be visualize by using those data and a conclusion can be drawn. Hence, to reduce the crime rate in the city of Chicago, Chicago Police Department can focuses on the most affecting areas mentioned above by regular patrolling. Also they can monitor using CCTV camera for any suspicious events to prevent common types of crimes (also mentioned above) and specially they can make double security on the month of January.