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Chicago Crime Analytics
ITECH1103- Big Data and Analytics
Nalin Adhikari
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
Total number of reported crimes Type of crimes (Primary Type)
Number of domestic reported crimes made in
Chicago
Domestic number of reported crimes were made in 2012 to 2014
Top 21 location descriptions with respect to crimes
Least 10 location descriptions with respect to crimes
Top 3 most common primary type
Least 3 most common primary type
Trending reported crimes over year
Location description having the least number of crime reported on Weekends
Location description having the most number of crime reported on Weekends
Number of reported crimes logged every year in December
Month that generated the most reported crime in Chicago
Number of reported crimes whether an arrest was made
Year that generated the most reported crime in Chicago
Number of district in dataset
Top 3 districts in terms of reported
crimes
Least 3 districts in terms of reported crimes
Primary type that reported most crimes from district “8” in 2014
The busiest day of the week in terms of committed crimes
Analysis & Conclusion
Street Residence
Apartment
Sidewalk
Theft
Battery
Narcotics
January
Thank you!

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Chicago Crime Analytics with IBM Watson

Editor's Notes

  1. 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.