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Big Data Analytics for Crime Prevention in Chicago City

The assignment requires students to work in teams to write a Data Analytical report using Watson Analytics to analyze and visualize a given dataset on reported incidents of crime.

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Added on  2023-06-04

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This project analyzes the crime records in Chicago City from 2012 to 2017 using IBM Watson data analytics tool. The report provides insights on trends, types of crimes, locations, and recommendations for police chief. The dataset contains 24 columns with data about a crime and its different attributes. The analysis suggests increasing police patrolling on streets and improving response time against theft, battery, and narcotics. The report also highlights the increase in the number of homicides in 2016 compared to previous years.

Big Data Analytics for Crime Prevention in Chicago City

The assignment requires students to work in teams to write a Data Analytical report using Watson Analytics to analyze and visualize a given dataset on reported incidents of crime.

   Added on 2023-06-04

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Running head: ITECH1103- BIG DATA AND ANALYTICS
ITECH1103- Big Data and Analytics
Name of the Student
Name of the University
Authors note
Big Data Analytics for Crime Prevention in Chicago City_1
1ITECH1103- BIG DATA AND ANALYTICS
Table of Contents
Introduction................................................................................................................................2
Task 1: Background information...............................................................................................2
Task 2 – Reporting / Dashboards...............................................................................................2
Task 3 – Advanced Insights.....................................................................................................10
Insight 1....................................................................................................................10
Insight 2....................................................................................................................11
Insight 3....................................................................................................................11
Insight 4....................................................................................................................12
Insight 5....................................................................................................................13
Task 4 – Research....................................................................................................................13
Task 5 – Recommendations for POLICE CHIEF....................................................................14
Task 6 – Cover letter................................................................................................................14
Task 7 - The Reflection............................................................................................................15
Bibliography.............................................................................................................................16
Big Data Analytics for Crime Prevention in Chicago City_2
2ITECH1103- BIG DATA AND ANALYTICS
Introduction
The main objective of this project is to find out the insight from the available data set
using the IBM Watson data analytics tool. With the use of big data analytics, the firm will
be able to find the risk and opportunity to prevent the increase in the crime, trends of different
crimes in the different beats or wards. In this way the Police department can proactively
identify and manage the risks associated with crime trends in order protect the citizens in the
locality.
Following report contributes to the discussion about the insights from the analysis,
and recommendation for the police chief with some advanced insights from the given dataset.
Task 1: Background information
The selected data set is comma separated file that contains the crime record for the
Chicago city for the time period of year 2012 to 2017. The data file contains 24 columns
which stores data about a crime and its different attributes such as Unique identifier ID, Case
Number, Incident date, Illinois Unifrom Crime Reporting code, block in which the incident
occurred, Primary Type or description of the crime, FBI code, community area etc.
Task 2 – Reporting / Dashboards
1. For the first dataset, there are 361741 reported crimes in the given dataset.
2. There are 32 types of reported crime in the selected dataset.
3. Top 21 location description by the following dashboard,
Big Data Analytics for Crime Prevention in Chicago City_3
3ITECH1103- BIG DATA AND ANALYTICS
Few of them can be listed as STREET, RESIDENCE, SIDEWALK, APARTMENT,
RESIDENTIAL YARD (FRONT/BACK).
4. the least 10 location description with reported crime are given by,
5. Top three most common type for the crimes are given by theft, Battery and
Narcotics which shown in the following dashboard.
Big Data Analytics for Crime Prevention in Chicago City_4

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