Crime Patterns in Los Angeles County Before and After Covid19 (2018-2021)

TL;DR

This study analyzes how crime rates in Los Angeles changed before and after Covid-19 using data visualization and regression models to explore correlations with demographics and income.

Contribution

It introduces a comprehensive geo-mapping and regression analysis approach to understand crime pattern shifts post-Covid-19 in Los Angeles.

Findings

Identified areas with increased crime rates post-pandemic

Found correlations between crime and income or demographic factors

Highlighted changes in crime types during 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.