In this project, I analyzed data of reported shootings in New York City, New York since 2006 from a database of NYC Shooting Incident Data. I proposed the hypothesis that increased police activity and security measures in residential areas of NYC will result in a direct decrease in the number of deaths from shootings. To represent this hypothesis, I used loops and JSON functions to calculate the percentage of total shootings in NYC that occurred at Public Housing Units and Apartment Buildings. Alongside these numbers, I also calculated the percentage of these shootings that resulted in the death of at least 1 victim. Through this project, I improved my skills on how to select specific data and loop through that data in a JSON dataset that includes both metadata and actual data. I learned how to read and interpret metadata and how it describes the actual data itself. I also learned how to take this data and format it onto an organized webpage and present it in an informative way.