Date created

Date created: 31 March 2020

Project Title

Investigate a Dataset - FBI Gun Data

Description

This project in the part of the "Data Analyst Nanodegree" by Udacity. In this Project, I analyzed the FBI's National Instant Criminal Background Check System's database for 1998-2017. The goal was to perform the Data Analysis Process from start to finish:

1. Get the data from its source (in this case - from Github repository)
2. Perform necessary Data Wrangling, in this case:

• check for duplicated rows ;
• check for NaN values and fill them in with data;
• work with datatypes and adjust them, if necessary.

3. Ask questions about the dataset, in his case :

• Question 1 : How did the split by gun type change for the state with the highest number of background checks in 1998-2017?
• Question 2 : Is there any seasonality in the trend for long gun and handgun background checks in the state of New York in the first decade of the XXI century (2000-2009)?

4. Create necessary visualizations to answer these questions by using aggregations and by building plots.

Files used

I used the following files to accomplish the project:

• README.md ;
• gun_data.csv - database extract from the National Instant Criminal Background Check System (NICS) ;
• Final.ipynb - Jupyter notebook with all the necessary queries and visualizations ;
• Project_Submission.pdf - the project file to submit to the Udacity team for review ;

Credits

During the preparation and the submission of the project, no external source was used during the submission, except for the source database, which was dowloaded from Cloudfront. Special thanks to the Udacity team for this project and its review!