Abstract

Over the past decades, data analytics have played a very important role in knowledge discovery and making decisions in different situations. Proper application of data analytics tools and techniques will help to identify important patterns and relationships in datasets. For this project, we conducted crime analysis and investigation using the Chicago crime dataset to gain more information and insights on why, when and how criminal activities are carried out. This project also focuses on identifying the relationship of socioeconomic indicators like poverty rate and unemployment to crime. We have used data analytics software like Microsoft excel, Tableau and Python for analyzing, manipulating, visualizing and implementing linear regression all geared towards achieving the goal of this project. This is an important study which can help Law enforcement agencies speed up the process of solving crimes and predict the possibility of crimes in the future

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