/AnalyzingUSMassShootings

In an attempt to better understand mass shootings in the US. I conducted an exploratory data analysis.

Primary LanguageJupyter Notebook

An Exploratory Data Analysis of Mass Shootings in The United States

Source:

https://www.kaggle.com/zusmani/us-mass-shootings-last-50-years

Dataset:

The dataset contains detailed information of 398 mass shootings in the United States of America that killed 1996 and injured 2488 people.

Purpose:

To have a better understanding of mass shootings in the US.

Topics I Explored:

  • How many people got killed and injured per year?
  • Is there any correlation between shooter and his/her race, gender
  • Any correlation with calendar dates? Do we have more deadly days, weeks or months on average?
  • What cities and states are more prone to such attacks
  • Can you find and combine any other external datasets to enrich the analysis, for example, gun ownership by state?
  • Any other pattern you see that can help in prediction, crowd safety or in-depth analysis of the event?
  • How many shooters have some kind of mental health problem? Can we compare that shooter with general population with same condition?

Featured:

You can also find this project at Chasing Data