911 Calls Data Analysis

Unveiling Insights in 911 Call Data for Enhanced Emergency Response

In this project, we are embarking on an analysis of 911 call data sourced from Kaggle. This dataset comprises several key fields, including latitude, longitude, a description of the emergency call, zipcode, call title, timestamp, township, address, and a constant dummy variable (always set to 1).

These attributes provide essential information about each emergency call, such as its geographical location, the nature of the emergency, timestamp of the call, and its associated administrative details. This dataset forms the foundation for our exploration, allowing us to uncover insights, trends, and patterns within the 911 call data, which can be invaluable for optimizing emergency response strategies and enhancing public safety.

Through the analysis of this dataset, we aim to extract actionable insights that could inform emergency services, improve response times, and potentially identify areas with specific emergency call needs. By examining factors like the frequency of calls in different townships, common emergency scenarios, and response times based on geographical coordinates, we can contribute to the optimization of emergency services, ensuring the swift and efficient resolution of critical situations.

• Data Analysis
• Python
• Pandas
• Numpy
• Matplotlib
• Seaborn