Gun violence remains a widespread issue across the U.S. Our group aims to conduct an analysis of data from the Gun Violence Archive, a nonprofit which verifies and compiles data for public access, in order to find patterns among these incidents and identify important risk factors.
The database we are using has over 260,000 records of incidents in the U.S. ranging from January 2013 to March 2018. The sheer number of records across just 5 years is both alarming and pervasive, indicating the need for some type of action to provoke change.
Combined with extensive literature review and research, we hope our analysis of this historical data and predictions of future trends will provide insight into the driving factors behind gun violence and potential steps that can be taken to challenge its prevalence in our society.
Although we understand that this is a deep systemic issue that this project alone cannot wholly tackle, our hope is that it can play a role in taking another step forward in the fight to keep our society safer from unnecessary gun violence.
Big Data Analytics M.Sc. Student at SDSU
B.S. in Management Information Systems from SDSU
Hometown: Taipei, Taiwan
Research: COVID-19 Vaccine Survey Opinions
Big Data Analytics M.Sc. Student at SDSU
B.A. in Psychology from UCLA
Hometown: Yucaipa, California
Research: Spatial-oriented Health Disparity Analysis of COVID-19 Testing Sites in San Diego
Big Data Analytics M.Sc. Student at SDSU.
B.S. in Cognitive Science from UCSD
Hometown: San Diego, California
Research: Analysis of COVID-19's impact of human mobility
This GitHub repository contains data scraped from the Gun Violence Archive for all incidences of gun violence in the U.S. between January 2013 and March 2018. There are over 260,000 total records, which include information such as: date, state, city, address, number killed, number injured, congressional district, gun type, stolen gun status, latitude, longitude, number of guns involved, participant age, participant gender, participant status (e.g. arrested, killed), participant type (e.g. victim, suspect), state house district, state senate district, notes, sources (links to news stories regarding the incident).
Data from the Food Research & Action Center (FRAC), based on the 2017 American Community Survey. The data reflects the percentage of all people living in
poverty within each Congressional District.
Boundaries for U.S. Congressional Districts from 1789-2017. Boundaries for the 114th Congress (2015-2017) were used in our map visualizations.
Demographic information by race and ethnicity for U.S. Congressional Districts, taken from Census Bureau estimates for 2015.