Real Time Analytics - Analysis of Chicago Crime Data

Real Time Analytics
- Analysis of Chicago Crime
Data

Introduction:
• The undertaken data set reflects the reports of incidents of crime (except
murders) happened in Chicago city from 2012 to 2016.
• The data set is gathered from the Chicago Law Enforcement Analysis and
Reporting (CLEAR) of Chicago Police department.
• To protect the privacy of crime victims, the crime incidents are gathered as
per the specific locations as per block levels.
• The weekend bloodshed of Chicago is not at all new and police is trying to
control the crime by various kinds of steps. Shopping malls, markets,
streets, apartments and pavements are not at all safe in Chicago
irrespective of seasons or days of the week.
• Presence of local gangs, availability of guns, domestic dissatisfaction and
anxiety, tendency to commit crimes, instant spread of contagions and
destructive nature of racism are the significant causes of high rate of
crimes in Chicago.

Aim and Target Audience:
• The main aim of the research report is to provide the variety and interests
insights in the lights of the crime survey data. Also, it would like to develop
the proper measures to control crimes.
• The target audience of the IBM analytical report are mainly non-profit
organizations and the middle as well as top management of the law
enforcement agency.

Research Reporting:
• The analysis has been done with the help of the IBM Watson software.
• The interpretation refers crime rates and scenarios in Chicago in the
contemporary period.
• The representation in the contemporary period is one of the primary and
most useful methods used for the purpose of visual representation of
large data and trends.
• Taking this into consideration, this form of analysis and interpretation
has been used for the concerned study.

The total number of reported crime is 361741 in Chicago during the tenure
of survey.

32 kinds of different primary crimes were reported in this survey.