Emergency Insights: Analyzing 911 Call Data

Project Description: This project involved analyzing a dataset of 911 emergency calls using Python to uncover patterns and trends in emergency incidents. I utilized libraries like Pandas, NumPy, Matplotlib, and Seaborn to clean, explore, and visualize the data. The analysis provided insights into the frequency, location, and types of emergencies over time, highlighting critical areas for public safety improvements. This project showcased my skills in data manipulation, exploratory data analysis (EDA), and Python-based visualization, offering valuable insights for optimizing emergency response strategies.