Crime Patterns in Los Angeles County Before and After Covid19 (2018-2021)
Abstract
The objective of our research is to present the change in crime rates in Los Angeles post-Covid19. Using data analysis with Geo-Mapping, bubbles, Marimekko, and a time series charts, we can illustrate which areas have the largest crime rate, and how it has changed. Through regression modeling, we can interpret which locations may also have a correlation to crime versus income, race, type of crime, and gender. The story will help to uncover whether the areas associated with crime are due to demographic or income variance. In showing the details of crimes in Los Angeles along with the factors at play we hope to see a compelling relationship between crime rates and recent events from 2020 to the present, along with changes in crime type trends during these periods. We use Excel to clean the data for SAP SAC to model effectively, as well as resources from other studies a comparison.
Keywords
Cite
@article{arxiv.2204.04399,
title = {Crime Patterns in Los Angeles County Before and After Covid19 (2018-2021)},
author = {Rubab Hussain and Rigo Vargas and Hieu Hughes Le-Au and Will Gass and Melissa Fenn and Briseyda Serna-Marquez and Jongwook Woo},
journal= {arXiv preprint arXiv:2204.04399},
year = {2022}
}
Comments
Keywords: Pandemic, Crime Rate Los Angeles, Data Analysis, Data Science, Predictive Analysis