Document Type

Honors Capstone Project

Date of Submission

Spring 5-1-2019

Capstone Advisor

Deborah Nosky

Honors Reader

Avinash Kadaji

Capstone Major

Information Management and Technology

Capstone College

Information Studies

Audio/Visual Component

no

Capstone Prize Winner

no

Won Capstone Funding

no

Honors Categories

Social Sciences

Subject Categories

Computer Sciences | Databases and Information Systems

Abstract

With the advent of the open data portal for the city of Syracuse came an opportunity previously impossible; anyone could download, mine, and visualize information about Syracuse direct from the source. Over the course of this project, I will be performing these processes on a selection of crime data from 2017 in order to better understand the patterns of crime in Syracuse, where they occur, and if it can be predicted whether or not a crime will lead to an arrest.

This project will begin with an overview of the data, how it was obtained, and the meanings of the variables within. Next, I will begin the process of cleaning and feature engineering so as to optimize the data set for analysis. Following that, I will visualize the different aspects of the data and point out interesting insights I have drawn as a result. Finally, I will attempt to predict whether or not an arrest will occur based off of other variables present within the data.

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.

Available for download on Tuesday, June 30, 2020

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