Abstract

The purpose of this project is to identify the crime trends and patterns for the people in Los Angeles, California, using statistical methods and data visualizations. For the two decades, the United States has been battling high crime rates. Even when crime rates subside, residents of Los Angeles, one of the most populated urban areas in the U.S., continue to experience pervasive fear due to increased crimes. In order to alleviate this fear, it is important to understand the dynamics of crime in Los Angeles. This analysis draws upon government-provided data from the City of Los Angeles,
specifically sourced from the Los Angeles Police Department (LAPD), to identify the trends and patterns of the LA crime dataset. Through this, I am answering three questions: ’Who is impacted by crimes in LA?,’ ’When and where do crimes occur the most?,’ and ’How can users interact with the crime data?’
To answer these questions, I create a website to spread awareness about the importance crime analysis to promote awareness of crime in Los Angeles. I used multinomial logistic regression to calculate the likelihood of victims experiencing certain types of crime based on their demographic information. I provided visualizations such as bar charts, population pyramids, tree maps, interactive
dashboards, and more to present the results visually.
Based on the analysis, it was found that the victim’s average age ranges between late 20s to late 30s. Property crimes hold the highest probability of occurrence across all demographic groups usually taking place in residential and public areas. Following this are by property crimes in vehicles and miscellaneous crimes in residential areas. Males are more prone to be victims of crimes involving weapons compared to females, while females face a higher likelihood of experiencing sex crimes
compared to males. Crime rates generally increase from morning until afternoon but decrease at night, displaying a high peak between 11 AM and 1 PM. Ultimately, users can engage with the type of crime, weapon, and sex of the victim using the interactive dashboard.
Link to the website: https://crimeinla.com

Advisor

Morrison, Jillian

Department

Statistical and Data Sciences

Disciplines

Statistics and Probability

Keywords

crime analysis, crime, visualization, website, L.A.

Publication Date

2024

Degree Granted

Bachelor of Arts

Document Type

Senior Independent Study Thesis

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