  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.
