Big Data and Analytics: Insights on Crime Trends in Chicago

Running Head: BIG DATA AND ANALYTICS
Big Data and Analytics
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1BIG DATA AND ANALYTICS
Table of Contents
1. Introduction:................................................................................................................................2
1.1. Background:..........................................................................................................................2
1.2. Target Audience:...................................................................................................................2
1.3. Research objective:...............................................................................................................2
1.4. Data Source:..........................................................................................................................2
1.5. Data Description:..................................................................................................................3
2. Reporting by Dashboards:...........................................................................................................4
2.1. Dashboard 1:.........................................................................................................................4
2.2. Dashboard 2:.........................................................................................................................4
2.3. Dashboard 3:.........................................................................................................................5
2.4. Dashboard 4:.........................................................................................................................6
2.5. Dashboard 5:.........................................................................................................................6
3. Advanced Insights:......................................................................................................................7
4. Research:......................................................................................................................................7
5. Recommendations for Police Chief:............................................................................................8
6. Cover Letter:................................................................................................................................9
7. Research Reflection:....................................................................................................................9
References:....................................................................................................................................10

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1. Introduction:
1.1. Background:
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 (Arnio & Baumer, 2012).
The city has overall crime rate (specifically the violent crime rate) greater than the
coverage of United States. Chicago city police must stop bloodletting and restore sanity to
locations of the South and West sides of Chicago that requires building up wrecked families and
sterilized gangs (Cohen & Felson, 2016). 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, schools,
markets, streets, apartments and pavements are not at all safe in Chicago irrespective of seasons
or days of the week (Burdick-Will, 2013). 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.
Appropriate implications of strategies and steps from the end of Police departments are also
facing failure year after year.
1.2. Target Audience:
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 (Arnio, Baumer & Wolff,
2012).
1.3. Research objective:
The main objective 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.

3BIG DATA AND ANALYTICS
1.4. Data Source:
As per data.world. (2018), the data set is collected from “data.world” website in the
following link-
https://data.world/mchadhar/chicagocrime-dataset
1.5. Data Description:
Variables Description
Crime ID Unique identifier for the record.
Case Number The RD number of Chicago Police Department
Date The best estimated date when the incident occurred.
Year The year when the crime happened.
Month The month when the crime happened.
Day The day of the week when the
IUCR The Illinois Uniform Crime Reporting code
Primary Type The primary description of IUCR.
Location Description Description of the location where the crime took
place.
Arrest Whether arrest was made or not.
Beat The beat where the crime took place.
X Coordinate The x-coordinate of the location of the crime.
Y Coordinate The y-coordinate of the location of the crime.
Latitude The latitude of the location where the crime
occurred.
Longitude The longitude of the location where the crime
occurred.
Location The location where the incident occurred in a
format.