The Chicago Crime Analysis web application, built with the user in mind, provides an interactive platform to explore crime trends, hotspots, and the distribution of different crime types. Powered by Pandas, a powerful data analysis library, this web app empowers users to uncover hidden patterns and gain a deeper understanding of crime in Chicago.
- Python 3.10
- Streamlit 1.31.2
- Pandas
To ensure data quality, the project begins with a thorough cleaning process. This involves removing missing values and correcting date formats to create a consistent dataset. Pandas, a powerful data analysis library, is then used to conduct Exploratory Data Analysis (EDA), revealing valuable insights such as: (list of insights).