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FBI-gun-data-analysis Project

The purpose of this project is to explore the trends of U.S gun purchases with census population data.

Project:

The Goal to Complete the project:
  • Ask questions
  • Clean FBI-gun data and census data (FBI-data and census-data need to match their data together before merging)
  • Merge both FBI-gun data and census data altogether
  • Answers the questions
  • Visualize the combined FBI-gun data and census data

FBI-gun-data-analysis

The data comes from the FBI's National Instant Criminal Background Check System. The NICS is used by to determine whether a prospective buyer is eligible to buy firearms or explosives. Gun shops call into this system to ensure that each customer does not have a criminal record or isn’t otherwise ineligible to make a purchase. The data has been supplemented with state level data from census.gov.

Another Files in FBI-gun-data-analysis:

  • The NICS data is found in one sheet of an .xlsx file. It contains the number of firearm checks by month, state, and type.

  • The U.S. census data is found in a .csv file. It contains several variables at the state level. Most variables just have one data point per state (2016), but a few have data for more than one year.

  • "Investigate_a_Dataset.ipynb" is found in FBI-Project/home/. It is is the file project, written in python and jupyter notebook. Here's a shortcut link: Investigate_a_Dataset.ipynb

  • "Investigate_a_Dataset.html" can be displayed in HTML. Here's a shortcut link: Investigate_a_Dataset.html

  • ".Trash-0" folder is my previous edited project. (These are my rough draft)

Analyze FBI-gun-data-analysis uses some open source projects to work properly:
  • [Jupyter Notebook] or [Python 3] - jupyter notebook is an open source and used to data analyze with python code
  • [matplotlib] - uses to facilitate the data analyzation by displaying the plots
  • [numpy] - is a fundamental scientific computing.
  • [Pandas] - uses to clean, organize, convert, and merge the data.

License

MIT