Description
This project will analyze some NYPD Emergency calls for the year 2023. The data for this project is sourced from Data.gov a non-federal dataset see dataset terms of use. The dataset contains data for calls for service to NYPD’s 911 system.
Technologies
Python3, Pandas, Numpy, Seaborn, Matplotlib
Overview
The NYPD 911 ICAD system is an essential tool used by call takers and dispatchers to manage interactions with the public and coordinate the NYPD’s response. Its dataset includes records of all entries made into the system, capturing a comprehensive range of incidents reported by the public as well as self-initiated reports by NYPD Members of Service. Through this project, I seek to uncover patterns, trends, and areas for improvement in how emergencies and public reports are handled, ultimately contributing to better public safety and more efficient use of NYPD resources.
Expected Outcome
This project aims to provide valuable insights into the operational dynamics of the NYPD’s 911 system, offering evidence-based recommendations to enhance public safety, improve response times, and ensure efficient resource management. By leveraging data-driven approaches, the project seeks to contribute to the ongoing efforts to make New York City safer and more responsive to the needs of its residents. A comprehensive analysis report detailing findings on incident types, trends, response efficiency, and geographical hotspots. Interactive visualizations and maps to illustrate the spatial distribution of incidents and response times. Predictive models to forecast future incident trends and response resource needs. Strategic recommendations for the NYPD to optimize response strategies, resource allocation, and public safety initiatives.
