Explore US Accidents with Comprehensive EDA

This project offers an in-depth exploratory data analysis (EDA) on US accidents, providing valuable insights into traffic patterns and safety. Utilizing powerful data visualization tools such as folium, matplotlib, pandas, plotly, seaborn, and streamlit, users can interactively explore accident data and uncover trends and patterns.

Key Features

• Interactive maps with folium for geographical data visualization.
• Advanced plotting capabilities using matplotlib and plotly.
• Data manipulation and analysis with pandas.
• Seamless integration with streamlit for web-based data exploration.

Perfect for data scientists and analysts looking to delve into accident data, this open-source project is hosted on GitHub, allowing for community contributions and enhancements.