Data Analytics on Gun Voilence in USA

America is reeling from yet another devastating spate of mass shootings. Last month, in the span of 10 days, shooters targeted a Taiwanese church in California, a grocery store in a Black neighborhood in New York, and an elementary school in Texas. Although opponents of sensible gun control—the kind that prevails throughout most of the civilized world—continue to put the spotlight on the shooters’ motivations or unstable mental states, these are cynical diversions from the one obvious truth: The common thread in all of the country’s revolting mass shootings is the absurdly easy access to guns. The science is clear: Restrictions work, and it’s likely that even more limitations would save thousands of lives. So why not take the laws much further, as other countries have done? The alternative is painfully obvious—living with more and more senseless carnage, courtesy of the National Rifle Association and their well-funded political lackeys.

Data Source

Population Data –
Location Data –

Download Data

The dataset featured below was created by reconciling measurements from requests of gun violence incidents provided by the Gun Violence Archive (GVA). The attributes provided are simple in order to promote EDA and engagement from the Kaggle community to raise awareness about the magnitude of this issue. I will be working weekly to update the dataset and scrape more descriptive information about each recorded incident.

This dataset is also intended to serve as an update to this Gun Violence Dataset which contains even more information along with each recorded incident.

The size for the files featured within this Kaggle dataset are shown below — along with a list of attributes and their description summaries:

  • all_incidents.csv – 472820 observations x 7 attributes
  • mass_shootings.csv – 3609 observations x 7 attributes
  1. incident id – incident unique identifier – (str)
  2. incident date – recorded date of incident – (date)
  3. state – US state in which the incident took place – (str)
  4. city – city within the state where the incident took place – (str)
  5. address – street address where the incident took place – (str)
  6. # killed – number of persons killed during incident – (int)
  7. # injured – number of persons injured during incident – (int)

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