This document provides an overview of the project structure and usage for the case study on the relationship between police residence and fatal police shootings, exploring the correlation and impact of officers residing in the cities they serve on fatal police shootings.
This study investigates the relationship between police residence and fatal police shootings using a data science approach. It aims to discern patterns, trends, and potential biases associated with geographical proximity of police officers to the communities they police from 2015 to 2023.
To run the analyses, you will need to install the following R packages:
library(tidyverse)
library(usmap)
library(sf)
library(infer)
library(moderndive)- There is no difference in the mean number of fatal shootings per agency based on whether a majority of officers live in the city they serve versus cities where they do not.
- There is no relationship between the percentage of the police force that resides in the city they serve and the number of fatal shootings.
Data from various sources like .csv files are loaded and processed to create a tidy dataset suitable for analysis.
Fatal shootings are counted by agency, focusing on the top 25 agencies with the most incidents.
Locations of police-involved shootings from 2015 to 2023 are mapped using geographical visualization libraries.
Hypotheses are tested using linear regression models to evaluate the relationship between officer residency percentages and fatal shootings.
Results are presented through multiple linear regression analysis, hypothesis testing, and visualizations such as bar plots and maps.
The study concludes with insights into the potential impact of police residence on fatal shootings and provides evidence-based recommendations for policy-making and police training.
To reproduce the results, execute the code chunks embedded within the R Markdown document. Each section corresponds to different stages of the analysis, from data preparation to final hypothesis testing and visualization.
Output is configured to be rendered as an HTML document with options for code folding and displaying code summaries.
This project is open-sourced under the MIT License. See the LICENSE file for more details.
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